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Experience with an On-board Weighing System Solution for Heavy Vehicles

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Mining, construction, and other special vehicles for heavy use are designed to work under high-performance and off-road working conditions. The driving and executive mechanisms of the support structures and superstructures of these vehicles frequently operate under high loads. Such high loads place the equipment under constant risk of an accident and can jeopardize the dynamic stability of the machinery. An experimental investigation was conducted on a refuse collection vehicle.

The aim of this research was to determine the working conditions of a real vehicle: the kinematics of the waste container, that is, a hydraulic rotate drum for waste collection; the dynamics of the load manipulator (superstructure); the vibrations of the vehicle mass; and the strain (stress) of the elements responsible for the supporting structure. For an examination of the force (weight) on the rear axle of a heavy vehicle, caused by its own weight and additional load, a universal measurement system is proposed. As a result of this investigation, we propose an alternative system for continuous vehicle weighing during waste collection while in motion, that is, an on-board weighing system, and provide suggestions for measuring equipment designs.

Keywords: Measuring system, on-board weighing, piezoelectric principle, sensor, strain gauge, transducer, weigh-in-motion.

Manuscript received Feb. 25, 2015; revised Apr. 19, 2016; accepted May 3, 2016.

This work was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia (Project No. TR-35049).

Goran Radoičić (corresponding author, goran.radoicic@jkpmediana.rs) and Miomir Jovanović (miomir@masfak.ni.ac.rs) are with the Faculty of Mechanical Engineering, University of Niš, Serbia.

Miodrag Arsić (miodrag.arsic@elfak.ni.ac.rs) is with the Faculty of Electronic Engineering, University of Niš, Serbia.

I. Introduction

The development of transportation systems has promoted two dominant technologies for measuring the weight of a vehicle: weigh-in-motion (WIM) and on-board weighing (OBW). WIM measuring systems are external and independent of the vehicle measured, and can be differentiated from OBW systems, which are built into the vehicle itself.

WIM technology is used to measure the axle load of a vehicle while in motion, and actually assesses the appropriate static axle load (a quasi-static measurement) [1]. Scientific investigations into WIM and OBW technologies have dealt with the development of adequate force sensors (weight indicators), a determination of the position of the sensor to obtain the best performance, and electronic systems for processing the measured values 2, 3.

The researches in this area have thus far been comprehensive, and there have been a number of studies dedicated to designing sensors that are small in weight and volume to easily fit into existing vehicles. Thus, Cheng and others chose a capacitive flexible weighing sensor whose dynamical behavior was described using the Maxwell-Kelvin model [4].

Kheiralla and others dealt with the development of an on- board weighing solution to measure the vehicle weight while in motion (on-the-go) using a wheel loader as an example vehicle

5. For the measurement system, load pin transducers were specially designed and mounted in place of the existing pins between the loader arm and bucket. Electrical resistance strain gauges were placed on the pins and connected with the data acquisition system in a full measuring bridge.

Zhou and Cai developed an empirical model for the decomposition forces aimed at extracting the dynamic forces from the measuring signal of an axle load of a vehicle in

Experience with an On-board Weighing System Solution for Heavy Vehicles

Goran Radoičić, Miomir Jovanović, and Miodrag Arsić

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motion [6]. Dynamic forces were recognized as the main factor affecting the accuracy of the measurement of the axle load (weight). By applying their proposed empirical mode decomposition method, accurate weighing with very slight errors is achieved depending on whether the load is on the front or rear axle, and whether the gross weight of the vehicle is measured while moving at a slow speed.

Niedźwiecki and Wasilewski suggested the use of adaptive algorithms with broad application possibilities to improve the accuracy of the dynamic weighing of a vehicle [7]. Their investigation highlights the benefits of dynamic weighing, such as the small dimensions of the truck platform scale, and the possibility of separate measurements of each axle without stopping the vehicle.

Radoičić and others developed a model to determine the total mass of loaded waste in kilograms per work cycle by summing the elemental masses 8. Their measurement system is based on the use of a pressure transducer mounted in a hydraulic oil pipeline used for lifting a waste dumpster. The measurement procedure includes a calibration of the measured electrical outputs and their conversion into the corresponding weights.

The developed system can be characterized based on the possible use of GPS localization and GPRS communication.

Universal measuring systems are expensive, reaching prices as high as 10,000 EUR, and require a physical adjustment of the vehicle, that is, adapting the existing vehicle suspension system.

Therefore, current investigations into practical solutions to these problems are ongoing, for example, measuring the equipment for wide industrial use. On-the-go vehicle weighing is important for heavy-duty vehicles, mining and construction machines, and municipal solid waste collection processes conducted by a special vehicle, that is, a refuse collection vehicle (RCV). An important issue is how many elements and mechanisms of the RCV superstructure (such as the compression mechanism, dumpster lifter, and load) influence the measurement process.

Additional research, presented herein, has treated the issue of choosing the proper vehicle weight sensor for taking measurements when the vehicle is simultaneously in motion and being loaded. Based on observations of a real work regime, the present research also involves the operational monitoring of an RCV rotor, that is, the hydraulic rotating drum (HRD), and vibrations of the rear podium for the worker in a vehicle escort.

Although this investigation focuses on a special vehicle for waste compression that uses a rotating mechanism and rear end loader, the principles and results of this research can be widely applied to other types of special, mining, and construction vehicles.

II. Reasons for Experimental Testing

OBW technologies use transducers mainly for force (load

cell) or air pressure conversion (air pressure transducer (APT)) into a measurable electrical signal, as well as resistance-type sensors (strain gauge) for force and electric resistance conversion into measurable electrical signals. The measurement accuracy of force sensors (load cell) is the highest, with an error rate of less than 1%. APT sensors have the lowest accuracy (a dynamic measurement error rate of up to 5%) in relation to the other concepts considered. This is because the measurement does not always take place during the period of stable air pressure within the air-bag (air-spring) vehicle suspension, but prior to the pressure stabilization. A delay in the fluid stabilization also appears in hydraulic systems, and thus measurements using a similar oil pressure transducer may show a deviation in the measured load weight in relation to the actual value of up to 5% 8. Because the environmental temperature changes significantly, load cell and strain gauge transducers can be recalibrated in the vehicle after mounting.

Their lack of recalibration places APT sensors into a group of low-accuracy sensors. On the other hand, APT sensors have the greatest economic advantage owing to their simple installation and low cost (less than 1,000 EUR per vehicle). The experience of numerous users has indicated that load cells and strain gauges have a longer durability owing to their higher degree of protection against moisture and overload (overload coefficient KO  1.5). Load cell transducers are the most demanding for installation in a vehicle, and thus their costs are the highest (several thousand Euros per vehicle).

The following experimental investigations were conducted to determine the real impact of a sensor under a dynamic load scenario of a heavy vehicle. Criteria for the development of a dynamic weighing system for an RCV were developed. The proposed sensor system for installation in a vehicle records the relevant dynamic parameters continuously during use. This study investigated the design of a special measurement system based on OBW technology for monitoring the changes in vehicle weight during operation, that is, from the beginning of the transportation cycle (empty vehicle) to the end (full vehicle).

The new design incorporating a set of industrially applicable components should provide a cheap solution to the problem at hand.

Because an RCV with a steel-spring suspension was selected, there was no need for testing the ATP sensor, and a load cell sensor was tested instead. The changes in the measured size, 0.5WT, recorded by the force transducer mounted on the rear drive bridge, as shown in Fig. 1(a), were monitored simultaneously along with the changes in relative extension of the strain gauge mounted on the rear-end loader. Based on Hook’s law, the relative resistance of the strain gauge indirectly reflects its relative extension. The strain measurements are based on the application of a Wheatstone bridge, which detects

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Fig. 1. (a) Experimental weighing concept of a rear vehicle axle and (b) the lifting of a waste dumpster.

Force transducer

WT

~ 0.5 WT

(a)

(b)

~ 0.5 WT

1 2 3

the relative changes in voltage unbalance across the diagonal.

The changes in the relative resistance of the strain gauge were caused by a lifting of the waste dumpster using the rear-end loader, shown schematically in Fig. 1(b). The measurement of the load on the rear-end loader arms is a specific type of control that averages the errors of the measurement system mounted on the axles.

III. Experimental Model

The hydraulic drive allows the movement, s, of the hydraulic piston in the cylinder, which leads to the rotation of the lift arm for the current angle, , as shown in Fig. 2. The weight force of the waste dumpster, Fd, is then opposed to the force of the hydraulic actuator, Fa, which leads to elastic deformations, , of the lift arms. The zone of the expressed deformations where the tensometer-type strain gauge (based on a Wheatstone bridge) should be placed is also shown in Fig. 2. These sensors record the changes in strain of the lift arms while loading a weight as changes in the relative resistance of the strain gauge. The principle of elastic deformation of a thin conductor in a measurement gauge is a good tool for an indirect measurement of the mechanical forces and stresses of the working equipment on a vehicle. Therefore, this principle is applied to the monitoring of the loading into an RCV through the installation of measuring equipment onto the structure of the dumpster lifter (superstructure). The micro-deformation, , of the lift arm is measured by the strain gauge during the handling of the

Fig. 2. Kinematic diagram of dumpster-lifting mechanism.

s Fa

Fd

Expressed strain area

Vehicle superstructure

Actuator (hydraulic cylinder)

Dumpster (for waste collection)

Lift arm Strain gauge

φ



Fig. 3. Layout of the measurement equipment.

RCV Hydraulic rotating drum

n – rotation speed (min–1) F – compressive force (t) a – acceleration (m/s2) ε – strain (μm/m)

n

F

Encoder Waste

dumpster

a ε

Strain gauge Acceleration

sensor Force

transducer HMB MGC

plus

dumpster, as shown in Fig. 3. In these experiments, both lift arms were tested simultaneously.

This research covered the following measurements:

1) Measurement of the strain and/or stress of the lifter dumpster arms using two strain gauges, as shown in Figs. 2, 3, and 8.

2) Measurement of load (weight) on the rear drive bridge using a force transducer, as shown in Fig. 1(a) and Fig. 6.

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Fig. 4. Measurement of the weight on the rear drive vehicle bridge and deformations of the container (dumpster) arm (#53).

–500 500

Time t (s) 1,000

1,500 2,000 2,500 3,000

0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300–10

0 10 20 30 40 50 60

Lifting of the vehicle by hydraulic jack

0

Weight (force) W (kN)

Deformation ε (μm/m)

FT

MG-R

MG-L Involvement of the second hydraulic jack

Lifting & lowering of the dumpster

Lowering of the vehicle by hydraulic jacks

Δε 60 μm/m

WD = 2.6 kN FT-force transducer, MG-L-measuring gauge on the left side, MG-R-measuring gauge on the right side

3) Measurements of the accelerations of the vehicle super- structure upon rotation of the HRD for waste compression using an acceleration sensor, as shown in Fig. 8.

4) Measurement of the operating rotation speed of the HRD using a special encoder. The accuracy of the measurement system equipped with an encoder for measuring the RPM is thereby controlled [9].

Dynamic testing was conducted using a measuring chain (HBM, Co.), which was composed of a strain gauge (HBM 10/120 RY41), force transducer (HBM U2A/10t), amplifier (HBM MGC+), and acceleration sensor (Philips PR9369/10), as shown in Fig. 3. The data processing was conducted using CatmanAP software 10.

IV. Measurement Results

Micro-deformations of the lift arm measured when lifting and lowering the dumpster are shown in Fig. 4 (MG-L and MG-R curves). The FT curve in the same figure shows the measured change in load weight (force) on the rear drive bridge of the vehicle when handling the manipulator while operating the container dumpster (superstructure). The maximal dynamic force on the rear drive bridge was measured according to the curve, FTMAX = 55.165 kN.

The impact of lifting and lowering a container in the grip of the lift arms is visible in each of the three diagrams in Fig. 4 (within the time range of 195 s to 260 s). Thus, both the lifting and lowering are uniform without stroking, and the deformation processes are identical. The measured micro- deformations of the lift arm are not large within the uniform work regime. To increase the visibility, the curve of deformation,

Fig. 5. Deformations of two lift arms (measurement #52).

0 28 56 84 112 140 168 196 224 252 280

Time (s) 600

400

200

0

–200

–400

–600

–800

–1,000

Micro-deformation (μm/m)

MG-R

MG-L Lifting time

Lowering time

MG-R: Measuring gauge on the right side MG-L: Measuring gauge on the left side Measurement #52/Avg.2014

Lifting of the dumpster (V = 1,100 L) at the inclination angle of 45

MG-R, in Fig. 4 is shifted upward about 500 m/m from the MG- curve L.

Significant micro-deformations were recorded in the dynamically expressed shock effects upon the lifting and shaking of a partially full dumpster during measurement #52, as shown in Fig. 5. In Fig. 5, we can see that the micro- deformations increase up to 750 m/m, which is due to the sudden lifting and then lowering of the dumpster, indicating the expressed dynamic load on the lift arm when the command for shaking the dumpster by the hydraulic lifter is turned on. Again, to increase the visibility, the curve of deformation, MG-L, in Fig. 5 is moved downward 500 m/m from the MG-R curve.

One of the primary goals of the experimental investigation is

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Fig. 6. View of weighing equipment on the rear axle.

Hydraulic jack Rear drive bridge

Force transducer HBM U2A/10t

determining the operating forces in the support of a vibrating mass and the vehicle weight and load, as shown in Fig. 6. The experimental results indicate that one can specify the demands in the choice of a sensor and an integrated measuring amplifier (transducer). The measurement, in which the added force impacts are eliminated from the measuring signal, provide the process values for the normalizing of the RCV routing and collection process, as well as the elements in choosing an optimal work regime.

The force transducer (HBM U2A/10t), chosen solely for this research, is quite large and requires a large amount of free space for mounting, which complicates the entire installation.

The position of the measurement point on the rear drive bridge (not on the rear leaf spring) was chosen owing to the relatively large dimensions of the force transducer. To recognize one-half of the axle load, the force transducer is set up vertically between the rear drive bridge and the ground solely on the left side of the bridge, as shown in Fig. 6. The pad and hydraulic jack are set up on the right side of the bridge to preserve the horizontal bridge position.

The measurement defines how the weight force of the vehicle changes on the rear drive bridge, that is, how much the lifting of a dumpster (load) at the loading terminal influences the current vehicle weight. Figure 4 shows the change in total load of the rear drive bridge introduced by the force and/or weight upon lifting of the dumpster, which had a weight of 2.60 kN (tare weight + net weight) and volume of 1,100 L (FT curve). The force sensor accuracy can be checked by comparing the “Lifting & lowering of the dumpster” part of the diagram in Fig. 4, with the weight of the etalon determined in advance. The deviations in the measured weight values do not exceed the previously declared accuracy of the transducer (< 1%).

A specially developed measuring device for a contact measurement of the rotation speed in large mining and

Fig. 7. Number of revolutions of the HRD superstructure.

0 16 32 48 64 80 96 112 128 144 160

Time (s) 140

120 100 80 60 40 20 0 –20 RPM (min–1)

T  24 s

nr = 100.242 min–1

A weak hand-held pressure on the encoder

Measurement #55/Avg.2014

Situation: rotation of the HRD under the maximal engine speed Other conditions: the truck is unloaded and relied on the ground freely

Fig. 8. Display of strain (stress) and acceleration measurements.

Strain gauge MG-L Acceleration

sensor Strain gauge

MG-R

construction machines 9 can be applied to the rotation speed measurement of the RCV hydraulic superstructure. At the beginning of the testing, the average rotation speed of the RCV superstructure was initially controlled to be slow, and the typical number of revolutions of the main diesel engine was then applied, as shown in Fig. 7.

The vibrations of the superstructure were measured on an empty rear slipper of the vehicle, as shown in Fig. 8, during the rotation of the HRD at a greater number of revolutions typical for a diesel engine. At this time, the vehicle was suspended on the ground over tires, enabling the measurement of vibrations under real operating conditions.

Periodically expressed accelerations of the extreme values ay,min = 8.318 m/s2 and ay,max = 7.684 m/s2 were measured in the lateral direction, as shown in Fig. 9. The accelerations in the z-direction (vertically) were significantly lower (brighter curve in Fig. 9).

The control periods for the weighed vehicles (# 53, T = 225 s to 250 s, shown in Fig. 4) were selected. Variations in the measurement parameters are statistically calculated in the

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Fig. 9. Two measured channels of the superstructure acceleration.

–10 –8 –6 –4 –2 0 2 4 6 8 10

0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 Time (s)

Z - vertical direction

Y - lateral direction

Acceleration a (ms–2)

Measurement #55/Avg.2014

Measurement of acceleration of the RCV superstructure in two global directions

Table 1. Statistical values for two measurements.

Measurement #55 T = 80 s to 100 s

Measurement # 53 T = 225 s to 250 s Statistical

value

Superstruct.

speed n (RPM)

Lateral acceleration

ay (m/s2)

Vertical acceleration

az (m/s2)

Weight W (kN) Minimal 98.4198 –6.9040 –0.4910 49.503 Maximal 101.856 +4.8232 +0.4713 50.079 Average 100.251 +0.2605 +0.0110 49.782 St. deviation 0.69397 0.8762 0.1240 0.100551 Est. variance 0.48160 0.7678 0.0153 0.010110

control terms: the speed of the rotation of the superstructure, n (RPM); vibrations of the superstructure vehicle, ay and az

(m/s2); and the vehicle weight on the rear axle, W (kN). Table 1 shows the statistical results of the dynamic variations in the measurement parameters. Based on a small standard deviation (0.100551) and variations (0.010110) in weight at the rear axle of the vehicle, it can be noted that the vibrations of the vehicle structure have no significant impact on the accuracy of the measured weight of the load during the control period. The vehicle weight values were obtained using strain gauges, and statistically processed from the set of 1,250 measurement values (with a time step of 0.02 s). This was conducted after changing the weight of the vehicle during the 25-s control period. The measured weight on the rear axle of the vehicle with the small variations (shown in Table 1) is quite acceptable as a control function when using an OBW vehicle measurement system.

V. Comparison of Selected OBW Solutions

The experimental results indicate the possibility of applying two methods for a dynamic measurement of an RCV: the measurement of the load (waste) weight individually, that is, net weight weighing; and the measurement of the gross vehicle weight, or gross weight weighing. The measurement system for a net weight measurement is based on a conversion of the measured value, Fi (measured force), into the weight-size, Wi

(converted weight); accumulation of the measured elementary values, Wi,; and a comparison of the accumulated net value, WM (measured net weight), with the permissible vehicle payload, WN. This weighing system is very suitable for an on- the-fly measurement of a lifting dumpster mechanism. The measurement system is composed of a load cell and an additional position sensor (to determine the inclination angle).

The difference between a full and empty container, measured at the same position, represents the net weight. This measurement position is determined using a slope sensor (position sensor), and the measured values are discrete.

The measurement system for gross weighing is suitable for an on-the-go vehicle measurement, and one such system can be composed of a force washer placed at the connecting elements of the suspension and drive bridge in a relatively limited installation space. Using this system, the measurement of the total force (weight), WT, as well as its comparison with the gross vehicle weight, WG, would be allowed in the given time, t. A further analysis of the sensors will relate to the measurement system for a gross weight measurement of the RCV.

The criteria for choosing sensors used in OBW systems can be broken down into two classes: basic and specific. The basic criteria are the accuracy, reliability, durability, installation suitability, maintenance suitability, and price. The specific criteria are related to a number of technical requests for certain groups of sensors, such as the material, measuring range, and overload coefficient.

One of the basic key criteria is the installation suitability. This implies the choice of location whether the sensor will be set up, the time required for the installation, and the assembly costs.

This criterion primarily requires a small-sized sensor owing to a limited installation space in the vehicle. Less reliable sensors fail prematurely as a result of an overload or the working conditions, which leads to the need for a new installation. On the other hand, it is very important that the system elements be standardized and intended for wide industrial use because an easily replaceable and cheap solution is therefore provided.

However, when no compromise between the accuracy of the measured value and the cost price can be found, attention should be paid to the accuracy of the sensor.

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According to the vehicle type, working regime, technical specifications of the force sensors, and indicators in the vehicle cockpit (the requirements from Table 2), there are a number of alternative commercial technical sensor solutions available, including the following:

Solution 1. An HBM KMR/60 kN force transducer (force washer) for industrial application based on the strain gauge principle 11 is compatible with the indicating HBM WE- 2111 device (display unit) in the cabin 12.

Solution 2. An HBM CLP/62 kN force transducer (piezoelectric force washer) for industrial application based on the piezoelectric principle 13 is compatible with the HBM CMD-600P digital charge amplifier 14.

Solution 3. An SLS-9136B force transducer (quartz sensor), based on the piezoelectric principle 15, with up to four sensors may be incorporated into an SLS measuring assembly.

Solution 4. A 9103A force transducer (load washer) based on the piezoelectric principle may communicate with the 5073A111 or 5073A121 amplifier 16.

Considering the same functional principle as solutions 2, 3 and 4, a comparative analysis of the technical specifications is further shown solely for solutions 1 and 2.

The most important requirement for the choice of a force transducer in an OBW system is the thinness of the transducer.

Thus, the transducer should be very thin because of a small amount of space available for installation, and is no thicker than 20 mm including the hardened washers on both sides of the transducer. In solution 1, the thickness of the HBM KMR/60 kN transducer is 8 mm, whereas the thickness of a hardened washer is 4 mm, which amounts to a total of 16 mm (including the transducer and two hardened washers). The minimal space required to install the sensor is L × W × H = 35.5 mm × 24 mm × 16 mm. In exceptional cases, the transducer may be installed without washers, thereby reducing the height of the space required for installation by an additional 8 mm. Figure 10 shows the possible positions for installing a force transducer (pos. 2, 3, and 4) in the leaf spring and drive bridge assembly.

The nominal force may be measured using the HBM KMR/60 kN sensor based on the strain gauges, and amounts to 60 kN, which corresponds to the dynamic measurement needs of a one-half load axle on the RCV. Taking into account the overload coefficient, KO = 1.5 F, which is expected for off-road heavy vehicles, and is 90 kN in this case, it can be concluded that the transducer mounted on one side of the bridge satisfies the requirements when considering that the carrying capacity of the rear bridge (for an RCV with two axles) does not exceed 130 kN. Because heavy mining and construction vehicles frequently overload, a KMR/100 kN or bigger transducer may be applied. The proposed transducer satisfies the degree of

Table 2. General constraints for application of new weighing system.

System

element Technical specifications

Degree of protection (hermetic properties, moisture, shocks)

Required degree of protection IP 65 minimum as per

DIN EN 60529 Humidity 90% minimum at +40 C Electrical power supply 24 V Possibility of measurement Function gross, net, tare

Installation

Suitable for installation in a mounted housing per

DIN 43700

Software Firmware

Accuracy class < 0.5% or OIML (III) EMC conformity In accordance with EN 45501 Dimensions L × W × H 150 mm × 75 mm × 50 mm

at maximum Weighing

indicator (amplifier)

LED display Yes

Availability of space (dimensions L × W × H)

40 mm × 30 mm × 20 mm at maximum

Correspondence

Suitable for chosen weighing amplifier u Class A as per

DIN EN 55011

Limit force 150%

Breaking force > 300%

Operating temperature range –10…+70 C Weight (without cable) 40 gr, maximum Degree of protection (hermetic

properties, moisture, shocks)

IP 65 minimum as per DIN EN 60529 Nominal force Minimum 65 kN Force

sensor (transducer)

Maintenance Maintenance free

protection, IP 67, according to DIN EN 60529. The sensitivity of the sensor may change during the installation or owing to the differences in temperature, and thus a calibration of the device should be conducted prior to measurement.

The transducer corresponds to an “A” class industrial environment according to DIN EN 55011, and thus it may be combined with a weighing indicator, HBM WE-2111 12.

This device (indicator) contains firmware that allows the OIML test report to include up to 10,000 data (maximum scale interval), covers up to eight load cells, has a print function, and indicates the gross weight function as well as the net weight and tare weight functions. The device has an electrical supply of 12/24 V DC, along with Ethernet, USB, RS-232, and RS- 485 ports, and corresponds to the EN 45501 and DIN 43700 standards.

Through solution 2, the piezoelectric sensors of the HBM

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CLP type are proposed because of their smaller thicknesses, for example a CLP/62 kN sensor, which requires a mounting space of L × W × H = 38.3 mm × 30 mm × 4 mm. This sensor can measure a nominal force of up to 62 kN, which also corresponds to the need to measure one-half of the vehicle load axle. The overload coefficient also amounts to 1.5 F; however, the breaking force is smaller than with the previous sensor (up to 200%). CLP sensors can have an error of linearity of up to 1%, which is the consequence of a very small cable length. The installation lengths of the piezoelectric strain transducers, depending on the model, are usually no greater than 7 m 17.

VI. Alternative Solutions

There have been numerous studies on advanced electronic and information systems for safety and driver assistance [18].

Based on the simple types of mechanical sensors available [19], a technical solution for a thin sensor was developed. This alternative solution for testing the technical characteristics is intended for measuring the weight based on the strain gauges.

The application of measurement gauges on vehicle lift arms has shown good durability in relation to the dynamic conditions of their use. The alternative sensor solution in Fig. 11 can be applied to the continuous monitoring of an “on- the-go” weight change of an entire RCV fleet under the terms of greater hermetic and external protection, which are important technical requirements of the instruments used for this purpose. A special sensor for installation on the rear axle (bridge) of a vehicle was designed using four parallel steel plates. The middle plate (element 4) is the carrier of the strain gauges. The proposed measuring device is based on the electrical-resistance strain gauge principle, which has a very broad application in practice [20]. The middle plate (element 4) is placed on an elastic non-metallic ringed inter-element 3, as shown in Fig. 11(a). On the top and bottom surfaces of the middle plate, measurement gauges R1 through R4 are affixed. A sensor is inserted into the measuring space at position 2, as shown in Fig. 10.

The middle plate is previously bent to a small angle  and is elastically deformed under the influence of force F. The bottom plate (element 2) is a sensor housing within which push- element 1 is mounted. The sensor can be situated only in the movable support of the leaf-spring suspension, as shown in Fig.

10 (pos. 4). The strain gauges are serially connected in the Wheatstone bridge, as indicated in Fig. 11(b). The alternative sensor has its own protection against an overload, and is actually a sandwich structure of the four compact coupled plates (elements 1 through 4). The sensor determines the translation only in the vertical z-direction.

This solution is also suitable for use because it allows

Fig. 10. Suggested positions for sensor installation.

4 3

2 1

Leaf spring

Leaf spring clamp

installations with longer length cables (5 to 10 m) corresponding to the heavy-duty vehicle geometry, for example, between the cockpit and the rear drive bridge of the vehicle.

The sensor solution is also compatible with the available HBM WE-2111 indicating device, as shown schematically in Fig. 11(c).

A recent investigation 20 into the structural durability and system reliability shows that a gluing method can achieve an even greater resistance in the glued layers by treating the connected elements with new adhesives that enable greater durability under a dynamic load and fatigue. This provides a possibility that we did not previously have, that is, a long- lasting measurement sensor in the form of a strain gauge glued onto one of the vehicle substructure elements.

The characteristic diagram shapes in Fig. 5 indicate a phenomenon in which key events are identified using “on- the-fly” weighing technology within the proposed “on arm”

resistors used in alternative measuring systems. The key events are the lifting and lowering of a waste dumpster (load).

Through the measurement shown in Fig. 5, the work technology was automatically detected. Thus, a determination of the number of work operations conducted was also carried out. In addition, a model for automatically checking the effectiveness of the work process using an oil pressure sensor was presented in 8. Automatic completion of the measurement process is conducted by controlling the weight (force) increment, as shown in Fig. 4. The processor sends

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Fig. 11. Alternative solution to a weighing system: (a) construction solution: z-View, (b) strain gages conections, and (c) weighing indicator.

R4

(a) R3

A

D

V-section Torsion

spring

Elastic contour inter-element 3 V-section

Hole on super elastic plate Super elastic plate (element 4)

V-section: Super elastic plate (element 4) Strain gauge F

Silicon water protective sheath Internal press element 1

Sliding surfaces

Sliding smooth plate External body of measurement cell

(element 2)

z-View Strain gauge

Elastic contour inter-element 3 z-View

A, C A, D

R1, R2

R3, R4

φ

(1) Measurement signal (+) UA

C

R5

B

R6

R4

D G R2

R1

A

R3

(2) Bridge excitation voltage (–) 8 5

(4) Measurement signal (–) UA 15

(3) Bridge excit. voltage (+) UB 6 (3’) Sense lead (+) 13 (2’) Sense lead (–) 12

Cable shield, to the housing Sub-D connector

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

(b) AD101B

5…10 V external voltage

stabilization

Strain gage transducer

Calibration measuring mode zero

Digital I/O Linearization serial-number digital filter measuring rate sensitivity zero

setting EEPROM

Computer

1,200…38,400 baud A

D μP RS-232

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measurement data of the complex waste collection process to a dispatch center.

The measurement diagrams of the force (gross weight) and deformation, shown in Figs. 4 and 5, respectively, indicate the need to take samples of appropriate measurement sizes during

the damped amplitude period. The samples are taken when the relative change in the measuring value of the force (deformation) drops below 5%. In addition, samples on the measured size of the net weight are taken twice at the same position during the operation with a waste dumpster: when a dumpster is lifted for emptying, and when the same dumpster is lowered after being emptied. The measurement process is controlled using a processor with built-in software.

VII. Conclusions

Manufacturers of measuring systems can use the results of this research through the following suggestions:

1) Results: The mechanical influences on a real OBW measurement system for a special heavy RCV vehicle were measured and specified, as shown in the diagrams in Figs. 4 and 5. Additional general technical requirements for the development of electronic components and sensors are listed in Table 2.

2) Trend: The results of this investigation indicate the transitioning of measurement systems to digital technology.

These advanced mechatronic systems allow parallel measurements of individual loads and control of the gross vehicle weight while moving. To improve the working technology of RCV vehicles, a modern mechatronic system should provide information on changes in vehicle weight and cargo, and distribute the information using a GPS or GSM system. Finally, the use of measurement data of the weights of cargo vehicles, and communication with the dispatch center, allows logistical support throughout an RCV fleet.

3) Advantage: Although similarities exist between WIM and OBW technologies used for vehicle weight measurements taken without stopping the vehicle, OBW solutions have certain advantages, including a continual monitoring of weight changes, because they are applied within the vehicles themselves and therefore do not depend on the measurement locations for RCV vehicles on the road.

4) Experience: The reliability of a measurement sensor exposed to fully dynamic, thermal, and environmental (water or dirt) conditions should be determined in the laboratory. The required value of the breaking force coefficient, Kb > 3, plays an important role in protecting the sensor against dynamical shock effects.

5) Observations: The quality of a measurement signal also depends on the installation length (owing to the voltage drop), which should be taken into account when choosing the sensor. Therefore, the installation length of piezoelectric sensor systems is usually insufficient to achieve a connection with the amplifier in the vehicle cockpit. Hence,

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piezoelectric sensors should be used for measurements of stable machines, such as presses and welding machines. A comparative analysis of two types of physical sensors currently gives priority to resistance technology.

Piezoelectric sensors are easier to install but less adapted to the needs of electronic measurements of heavy vehicle components.

6) The main requirements: The development of OBW measurement systems should be directed to finding stable and durable sensors of small dimensions and large carrying capacities with no maintenance requirements. Such equipment should have industrial application, and therefore, low cost and easy mounting capability.

7) New technologies: A greater durability of sensors based on the strain gauge principle should be enabled using current adhesive technologies under the conditions of a dynamic load during long-standing use.

8) Method: In cooperation with vehicle manufacturers, OBW systems should be implemented in factory models of heavy vehicles, which will reduce the costs of the later installation of sensors, indicators, and accompanying devices.

References

[1] P. Szary and A. Maher, “Implementation of Weigh-in-Motion (WIM) Systems,” New Jersey Department of Transportation, NJ, USA, Final Report No. FHWA-NJ-2009-001, Feb. 2009.

[2] B. Oehry et al., “Study on Heavy Vehicle On-Board Weighing - Final Report,” RappTrans AG, Basel, Switzerland, Dec. 2013.

[3] B. Peters and C. Koniditsiotis, “Weigh-In-Motion Technology,”

Austroads Incorporated, Sydney, Australia, Austroads Project No.

RUM.TM.9, Austroads Publication No. AP–R168/00, 2000.

[4] L. Cheng, H. Zhang, and Q. Li, “Design of a Capacitive Flexible Weighing Sensor for Vehicle WIM System,” Sensors, vol. 7, no. 8, 2007, pp. 1530–1544.

[5] A.F. Kheiralla et al., “Design and Development and Calibration of an On-board Weighing System for an Industrial Wheel Loader,”

Int. Conf. Trends Ind. Mech. Eng., Dubai, Mar. 2012, pp. 174–180.

[6] Z.F. Zhou and P. Cai, “Weighing Axle Weight of Moving Vehicle Based on Empirical Mode Decomposition,” J. Shanghai Univ., vol. 12, no. 1, Feb. 2008, pp. 76–79.

[7] M. Niedźwiecki and A. Wasilewski, “Application of Adaptive Filtering to Dynamic Weighing of Vehicles,” Contr. Eng. Practice, vol. 4, no. 5, May 1996, pp. 635–644.

[8] G. Radoičić et al., “Expert Shell for On-line Dynamic Control of a Transportation Process,” Int. J. Innovative Tech. Exp. Eng., vol. 3, no. 9, Feb. 2014, pp. 37–45.

[9] M. Arsić et al., “Calibration of the New Technical Solution for Contact Measurement of the Rotation Speed,” XII Int. SAUM Conf. Syst. Autom. Contr. Meas., Niš, Serbia, Nov. 2014, pp. 225–

228.

[10] HBM – Hottinger Baldwin Messtechnik GmbH, Im Tiefen See 45, D-64293, Darmstadt, Germany, Accessed Jan. 10, 2015.

http://www.hbm.com

[11] HBM – Hottinger Baldwin Messtechnik GmbH, data sheet no.

B0204-2.0en, Accessed Jan. 10, 2015. http://www.hbm.com/en/

menu/products/transduce rs-sensors/force/kmr/

[12] HBM – Hottinger Baldwin Messtechnik GmbH, data sheet no.

B3598-2.0en, Accessed Jan. 10, 2015. http://www.hbm.com/en/

menu/products/weighing-indicators/we2111/

[13] HBM – Hottinger Baldwin Messtechnik GmbH, data sheet no.

B3634-2.2en, Accessed Jan. 10, 2015. http://www.hbm.com/en/

menu/products/transduce rs-sensors/force/paceline-clp/

[14] HBM – Hottinger Baldwin Messtechnik GmbH, data sheet no.

B2823-1.3en, Accessed Jan. 10, 2015. http://www.hbm.com/en/

menu/products/industrial-amplifiers/paceline-cmd600/

[15] Kistler Group, Eulachstr. 22, 8408 Winterthur, Switzerland, Accessed Jan. 10, 2015. http://www.kistler.com/cz/en/products/

components/force-sensors/?type=669&fid=3102

[16] Kistler_Group, Accessed Jan. 10, 2015. http://195.49.77.156/ru/

en/product/amplifier/5073A111

[17] HBM – Hottinger Baldwin Messtechnik GmbH, data sheet no B3873-1.1en, Accessed Jan. 10, 2015. http://www.hbm.com/

fileadmin/mediapool/hbmdoc/ technical/b3873.pdf

[18] H.S. Park and K.H. Kim, “Adaptive Multimodal In-Vehicle Information System for Safe Driving,” ETRI J., vol. 37, no. 3, June 2015, pp. 626–636.

[19] C.H. Lee and S.S. Lee, “Study of Capacitive Tilt Sensor with Metallic Ball,” ETRI J., vol. 36, no. 3, June 2014, pp. 361–366.

[20] H. Schmidt, Fatigue Analysis of Structural Adhesive Joints under Variable Amplitude Loading, PhD thesis, Fraunhofer Institute for Structural Durability and System Reliability, Darmstadt, Germany, May 2014.

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Goran Radoičić He is a PhD candidate in the Faculty of Mechanical Engineering, University in Niš, Serbia. He is currently a research assistant in the Department of Transport Engineering and Logistics. Since 2006, he has been a European expert in maintenance management as a member of the European Federation of National Maintenance Societies.

Miomir Jovanović He is a full professor in the Faculty of Mechanical Engineering, University in Niš, Serbia. He founded the first measurement laboratory in the Department of Transport Engineering and Logistics in the Faculty of Mechanical Engineering, University of Niš. His scientific fields of interest include information systems in transport equipment, measuring systems in hoisting machines, and optimal technical design.

Miodrag Arsić He is a full professor in the Faculty of Electronic Engineering, University in Niš, Serbia. He founded the first laboratory for electronic measurements in the Faculty of Electronic Engineering, University of Niš. His scientific fields of interest are in the processing of measurement signals, industrial electronics, sensor technologies, and process instrumentation.

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