Dynamic Weighing Research Articles

Adaptive Method’s Application for the Identification Systems in Dynamic Weighing

Adaptive Method’s Application for the Identification Systems in Dynamic Weighing

Design and Experiments of a Real-Time Bale Density Monitoring System Based on Dynamic Weighing.

Bale density is one of the main performance indicators to measure the quality of baler operation. In this study, a real-time baler bale density monitoring system was designed for the problem of difficult real-time measurement of bale density on round balers. Firstly, a weighing calculation model for the rolling and sliding stage of the bale was established, and the dynamic characteristics during the contact between the bale and the inclined surface were analyzed based on ADAMS dynamics simulation. Then, a real-time monitoring system for the bale density based on the contact pressure of the inclined surface, attitude angle measurement and hydraulic monitoring of the cylinder was constructed, and the accuracy of the weighing model was confirmed. The system was used to observe and analyze the changes in the pitch angle of the carrier table and the oil pressure in the rod chamber of the backpack cylinder during the operation of the round baler. Finally, the monitoring system was calibrated and the dynamic calibration equations were obtained. The results show that the maximum error between the calculated value of the original weighing model and the actual weight was 3.63%, the maximum error of the calculated value of the weighing model corrected by the calibration equations was 3.40% and the measurement accuracy could be satisfied. The results show that the system was highly accurate and met the practical needs of bale weighing in the field.

Dynamic Weighing to Improve Rail Freight Traffic Safety: A Case Study from the Czech Republic

Abstract Railway traffic safety is a decisive factor involved in any decision-making process in the railway transport, including the overall weight of cars, i.e., potential overloading. Overloaded rolling stock may cause many serious accidents. The presented article comprises two parts: the theoretical one explores the ways of progressive dynamic weighing of shipment. The practical part took place at Horní Dvořiště railway station, measuring the impact of the dynamic weighing on the decline in vehicular overloading.

Design of Fiber Bragg Grating Pressure Sensor for Dynamic Track Weighing

Design of Fiber Bragg Grating Pressure Sensor for Dynamic Track Weighing

Fiber-Optic Bragg System for the Dynamic Weighing of Municipal Waste: A Pilot Study

The publication focus on a pilot study (design, implementation and verification) of a dynamic weighing system designed for weighing of municipal waste during the dumping of garbage containers. The presented solution is based on fiber Bragg gratings (FBG) and can be additionally implemented into the lifting equipment of commonly employed garbage trucks. The weighing principle is based on the measurement of deformation effect and vibration response of the lifting equipment during the dumping of garbage bins. The measuring system leverages the advantages of power measurement, which use the conversion of the spectral shift of modulated light signal during the measurement to the change in optical power of a pair of spectral overlapping Bragg gratings. Two different methods are presented and discussed: the amplitude method, which analyze the maximum amplitude change of the signal and/or the method, which analyze the time period of the dampened oscillation of the lifting device. Due to the small dimensions, the complete system can be installed together with FBG sensors directly onto the lifting device. The pilot tests of the presented system were carried out for over 4 months, showing an accuracy of up to ±4.04 kg in the range of 10–100 kg for standardized containers used for municipal waste. The system worked in completely standalone mode and the garbage trucks were not modified in any inconvenient way.

Static and Dynamic Weighing of Rolling Stocks by Mean of a Customized FBG-Sensorized-Patch

Static and Dynamic Weighing of Rolling Stocks by Mean of a Customized FBG-Sensorized-Patch

A Novel Methodology for Dynamic Weigh in Motion System for Railway Vehicles With Traction

Loading conditions of railway vehicles both affect the vehicle and substructure directly. There are approaches to determine the load of a railway vehicle, the first one is to statically weigh the vehicle, the second approach is to place sensors along the track and dynamically weigh the vehicle at certain sections and the third one is to design special sensors that can be implemented on the vehicle. In this study, a model based indirect estimation methodology for normal load is proposed. This approach is based on interpreting angular velocities of wheels and translational velocity measurements of a vehicle to determine the normal load. A swarm intelligence based evolution of multiple models is proposed for estimation. In order to validate the approach, measurements taken from a tram wheel test stand with an independently rotating wheel are considered. The proposed approach is promising to be used as a dynamic weighing system and cost–efficient since only vehicle–based sensors are used. Furthermore, a continuous monitoring of the normal load is made possible with high accuracy since this methodology is neither limited to track–based sensors nor it requires special sensors and instrumented wheelsets.

In-Motion Weight Sensor Array for Dynamic Weighing of Nonsingulated Objects

This paper considers a problem of in situ estimation of the weight values of individual items that are moving as a bulk on a conveyor in a nonoriented and nonsingulated way. In logistics and material handling processes, it is a challenge to measure the weight of each package moving on a conveyor without halting the conveyor operation. This is not only because measuring weight requires physical contact between the target item and the measuring instrument, but also because each item must be separated (or singulated) from others for it to be weighed. Such a singulation task causes a significant delay in the transport process, especially when the conveyor is heavily loaded with items. Because of this issue, despite the importance of weight information for correct pricing and safe loading (for both air and ground vehicles), the weight has largely been ignored in many logistical sites such as sorting facilities or distribution centers. To address these issues, this paper proposes a new instrumentation device called the in-motion weight sensor (IMWS) array that consists of a grid of mini-checkweighers operating separately from each other as independent weight measurement cells. Each IMWS unit is equipped with a mini-conveyor mounted on a load cell, and provides the composite load data for a group of items being carried within the IMWS system. A depth camera mounted above the IMWS surface identifies both the location and the orientation of each package and provides the real-time measurement of its partial areas that intersect with the surface of load cells in contact with each package. The load cell measurements and the vision data are then fused to construct the measurement equation that is linear in the unknown weight values of all the packages being transported within the IMWS system. To extract individual weight values from these composite load data, we implement the recursive least square (RLS) estimation to the IMWS array. The feasibility of the proposed idea has been verified with experimental tests using the full-scale prototype IMWS array system. The results show that IMWS array is capable of estimating the unknown weight with the mean error around ±3% error and the standard deviation of 9 ~ 13% error for cases where 3 ~ 5 randomly oriented packages are moving in a nonsingulated way.

Dynamic Weighing System Used in Excavator

Dynamic Weighing System Used in Excavator

A New Strategy for Dynamic Weighing in Motion of Railway Vehicles

Weighing-in-motion (WIM) systems automatically perform the dynamic weighing of railway vehicles while the trains are running on the lines through a reasonable number of measurement points placed along the track. Such intelligent systems may overcome disadvantages in terms of costs and traffic management, which are typical of conventional static weighing systems. In this paper, we present an innovative algorithm for dynamical WIM applications aimed at estimating the axle and wheel loads of a generic train composition by means of indirect track measurements. The new approach allows the axle loads estimation at high vehicle speeds and can be customized for several input track measurements (rail shear, rail bending, vertical forces on the sleepers, etc.) as well as a combination of them. Consequently, it can be employed in different kinds of measurement stations. Having once studied the accuracy of the algorithm in estimating the loads, the same novel procedure is used to estimate the center-of-gravity position of the railway vehicle to avoid dangerous imbalances. The algorithm can receive as inputs both experimental and simulated data; simulated data are fundamental to test the algorithm (in terms of accuracy and robustness) under any operating conditions when experimental data are not available. A wide simulation campaign has been carried out to test the algorithm performances, obtaining promising results. In the near future, the proposed approach will be validated through suitable data coming from experimental tests organized in collaboration with Ansaldo STS and ECM SpA, which are the industrial partners of this research project.

An Improved ADSE Algorithm for Dynamic Weighing System

An Improved ADSE Algorithm for Dynamic Weighing System

A Vehicle Dynamic Weighing System Based on Wireless Smart Aggregates

Currently, the traffic management technology used in vehicle dynamic weighing is gradually matured. However, in China, the existing technology has not been widely used in practical detection. The main reason is the high cost of the existing weighing system which has to destroy a short road during its construction, at the same time, requires arranging a lot of cables to form a monitoring network. This is not only harmful to vehicular traffic, but also wasteful in manpower and financial resources. This paper develops a wireless smart aggregates array based on the protocol for Zigbee802.15.4 and the passive piezoelectric structural health monitoring (SHM). By measuring the vehicle with various loads, the test is performed to validate the proposed Wireless Smart Aggregates Vehicle Dynamic Weighting System (WSA-VDWS). The experimental results are consistent with the results of actual conditions. The developed system is stable and reliable, which is able to be applied in real-time online tests of vehicle dynamic weighting monitoring.

Study on the Dynamic Quantitative Weighing System Based on the Buoyancy Weighing Sensor

The dynamic quantitative weighing system based on the buoyancy weighing sensor is designed in this paper. At first the principle of the dynamic quantitative weighing system is analyzed and then the mathematical model is established. Secondly the hardware structure of the dynamic weighing system is designed. The buoyancy weighing sensor is introduced. The weighing system is composed of two parts: the buoyancy equalizer and the displacement sensor. Through the field tests, precision, stability and sensitivity of the device has been verified.

Research of Dynamic Weighing System Based on Multi-Sensor Data Fusion Technology

The multi-sensor data fusion techniques is discussed in dynamic weighing system based on the data measured from ultrasonic sensors, speed sensors, capacitive sensors and load cells. This new method can greatly increase the measure precision of the dynamic weighing systems, at the same time it can effectively reduce noise, vibration, electromagnetic interference and other environmental factors on the influence of dynamic weighing system measurement. Judging from the simulation result, this new method proves to be more accurate and stable than ordinary processing methods.

System Design of Dynamic Weighing and Video Monitoring for Colliery Production

A comprehensive colliery production monitoring system is discussed, which can dynamically weigh the tramcar and carry out video monitoring at the same time. This colliery production monitoring system consists of the front-end hardware platform and the back-end information management system. Both the front-end hardware platform and the back-end information management system are designed in detail here. The main functions of the information management system are put forward. This monitoring system can not only strengthen the supervision of production and effectively reduce accidents, but also prevent the tax evasion. This design has been used in China for 2 years with stable operation.

Study on the Online Dynamic Weighing System of Heavy Duty Apron Feeder Based on Labview

The heavy duty apron feeder is a mechanism for material transportation. According to the differences on test requirements and effects, the traditional sensor development test weighing system presently is adopted widely. In the design, resistance strain gauge is installed on the feeder chain plate; and the whole-armed bridge compensates temperature to test the voltage value outputted by bridge resistance gauge; based on labview software, the virtual online dynamic weighing system is developed, realizing online monitoring at full time, warning, alarming and shutdown protective operation.

Design of Vehicle Dynamic Weighing System Based on S3C2440

In order to satisfy the need for vehicle dynamic weighing in over-loading detection, the software and hardware of system are designed. The system uses CS5530, which can achieve 24-bit performance, as its AD converter. Apply with the technology of the radio frequency(RF) and embedded operate system, the system can collect, send, display, store and print the information of vehicles in time.

Application of RBF Neural Network in Dynamic Weighing

In order to improve the dynamical respond of the weighing system and to meet the demand of rapid weighing, a new method based on radial basis function neural network (RBFNN) is introduced in this paper. The dynamic system is described as a network and the output values of steady state are predicted by an on-line modeling before the platform has settled to the steady state. The sample weight is calculated according to weighted moving average. The experimental results proved that the neural network method in this paper can be used to effectively reduce the weighing time and to increase the accuracy simultaneously.

The Application of EMD and Genetic Neural Network Algorithm to the Dynamic Weighing System for Loader

The output signal of pressure sensor installed in the dynamic weighing system for loader contains strong vibration, noise, nonlinear signal. The accuracy of the dynamic weighing system is closely related to the pressure signal. An empirical mode decomposition (EMD) algorithm is proposed to preprocessing the signal contaminated. The real weighing signal is filtered out. a new method based on neural network is used to predicate the nonlinear output. in order to solve the problem that it was easily to sink into the partial minimum , the genetic algorithm was put forward .The emulation analysis and the results show that by using the above method, measure precision within 1% can be obtained.

Analysis and Research of Piezoelectric Dynamic Weighing Sensor

The Kistler company has invented piezoelectric dynamic weighing sensors which are applied to determine dynamically axle load, speed and gross weight of the vehicle based on piezoelectric effect of quartz crystal. They mainly consist of load-carrying beams and sensitive elements. Focusing on the control of preload in design and fabrication, finite element method (FEM) is applied with ANSYS software to optimize structural sizes. The influence curve of the structural dimensions of load-carrying beam on the preload is analyzed. With the piezoelectric coupling analysis function, the preload influence on the sensor sensitivity is researched. FEM simulation results show that the critical dimensions of load-carrying beam as well as the deformation and wall thickness of cavity have significant impact on the preload. Further studies show that the sensor has the highest sensitivity with the reasonable deformation and wall thickness of the cavity. In this paper, a sensor with range of 150 kN has the highest sensitivity at the wall thickness of 2 mm and the deformation of 0.14 mm.