Wagon balance metering calibration information management system based on Internet of Things

Abstract

The invention relates to a wagon balance measurement calibration information management system based on the Internet of Things, and the system comprises a data center server which is connected with a data collection unit, a vehicle tare weight value floating detection unit, a vehicle tare weight measurement data impact analysis unit, a wagon balance dynamic integrity analysis unit, and a risk analysis and evaluation unit. Risk analysis and evaluation are carried out on the tare data of a weighed vehicle, risk evaluation is carried out according to the abnormal conditions of the weighing tare data of the vehicle on different wagon balances within a certain period of time according to the weighing tare data of the vehicle, and reasonable analysis is carried out on the abnormal conditions of the weighing tare data of the vehicle, so that the metering accuracy of the current wagon balances is judged; and whether a weighing cheating behavior exists or not is judged.

Description

Technical Field

[0001] The present invention relates to the technical fields of Internet of Things technology and software system development, and in particular to a weighbridge measurement and calibration information management system based on the Internet of Things. Background Art

[0002] In commercial activities, such as logistics and transportation, weighbridges are an important piece of equipment. Weighbridges can calculate the cost of transactions by measuring the weight of vehicles and goods. However, due to various reasons, such as damage to the weighbridge, external interference, etc., weighbridges may produce measurement errors, and since it is impossible to calibrate the weighbridge measurement in real time, it is impossible to analyze the accuracy of the weighbridge measurement based on a single weighing slip. This may lead to unfair or inaccurate results in commercial activities, and may even damage the rights and interests of consumers.

[0003] Therefore, how to achieve real-time monitoring and calibration of weighing data to ensure the accuracy of measurement has become a technical problem that needs to be solved urgently by technical personnel in this field. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a weighbridge measurement and calibration information management system based on the Internet of Things, which performs risk analysis and evaluation on the tare weight data of vehicles being weighed, performs risk evaluation on the abnormal tare weight data of vehicles weighed on different weighbridges and within a certain period of time, and reasonably analyzes the abnormal tare weight data of vehicles, so as to judge the accuracy of the current weighbridge measurement and whether there is any cheating in weighing.

[0005] The specific plan is as follows:

[0006] A weighbridge measurement and calibration information management system based on the Internet of Things, comprising a data center server, wherein the data center server is respectively connected to a data acquisition unit, a vehicle tare value floating detection unit, a vehicle tare measurement data impact analysis unit, a weighbridge dynamic integrity analysis unit, and a risk analysis and evaluation unit; wherein:

[0007] The data acquisition unit is used to collect weighbridge measurement data, including vehicle tare measurement data of at least two weighbridges of the same weighed vehicle during the loading and unloading stage, and transmit the vehicle tare measurement data as analysis objects to the data center server respectively, and then transmit the data center server to the vehicle tare value floating detection unit for detection;

[0008] The vehicle tare weight value floating detection unit is used to calculate the vehicle tare weight floating value deviation range for the analysis object: compare the tare weight measurement data of different scales of the same weighed vehicle during the loading and unloading stage, if the difference value does not exceed the deviation range, it is marked as the scale measurement is correct; if the difference value exceeds the deviation range, it is marked as the vehicle tare weight measurement is distorted; and the comparison result is fed back to the data center server, and the data center server transmits the vehicle tare weight measurement distortion data to the vehicle tare weight measurement data impact analysis unit for analysis;

[0009] The vehicle tare weight measurement data impact analysis unit is used to analyze the corresponding weighbridge identified as vehicle tare weight measurement distortion, and transmit the analysis result to the weighbridge dynamic integrity analysis unit;

[0010] The dynamic integrity analysis unit of the weighbridge is used to analyze the weighbridge information involved in the vehicle tare weight measurement distortion, compare the tare weight measurement data of the vehicles weighed on the weighbridge, and make a conclusion whether there is cheating in weighing or the weighbridge needs to be calibrated immediately, and feed the conclusion back to the data center server;

[0011] The risk analysis and evaluation unit is used to perform logical verification on the measurement data on the data center server, and ultimately mark whether the measurement standard of the weighing scale is accurate or not.

[0012] Furthermore, factors affecting the range of the floating numerical deviation of the vehicle tare weight include a change in the amount of oil stored in the vehicle's fuel tank, a water amount in the water tank, and the weight of the person in the front passenger seat.

[0013] Furthermore, the analysis process of the vehicle tare weight measurement data impact analysis unit includes two steps: (1) retrieving the historical data of the vehicle marked as having distorted vehicle tare weight measurement and comparing it with the distorted weighing data of this time to determine which scale generated the distorted data, and transmitting the analysis result to the dynamic integrity analysis unit of the scale for analysis; (2) if the historical data of the vehicle marked as having distorted vehicle tare weight measurement cannot be retrieved, the corresponding scale information involved in the current measurement distortion will be transmitted to the dynamic integrity analysis unit of the scale for analysis.

[0014] Furthermore, the analysis process of the dynamic integrity analysis unit of the weighing scale includes: (1) if no distortion is found in the tare weight measurement data of the vehicles weighed on the weighing scale, then the vehicles previously marked as distorted in tare weight measurement are determined to be incorrect in this measurement data, indicating cheating in weighing; (2) if the tare weight measurement data of most vehicles weighed on the weighing scale are found to be distorted, then the vehicles previously marked as distorted in tare weight measurement are determined to be incorrect in this measurement data, and the weighing scale must be calibrated immediately.

[0015] Beneficial effects:

[0016] 1. Improved the accuracy of weighing scales: Through real-time collection, analysis and correction of vehicle tare weight measurement data, it effectively prevents measurement errors caused by factors such as vehicle tare weight measurement data, changes in vehicle fuel tank oil storage, water tank water volume, and the weight of the passenger seat, thereby ensuring the accuracy of weighing scales.

[0017] 2. Simplified measurement and calibration process: The system automatically analyzes, detects and corrects the measurement data of the scale in real time, reducing manual intervention, and reducing the difficulty of operation and the probability of error during the calibration process.

[0018] 3. Improved the security and reliability of metering data: Through the centralized management of the data center and the logical verification of the risk analysis and assessment unit, the real-time, accuracy and integrity of the metering data are effectively guaranteed, reducing the risk of data leakage.

[0019] 4. Easy to trace and query the measurement data: The system records the measurement data and related information of each vehicle's scale, which is convenient for users to query and trace at any time, and is conducive to the supervision and management of the use of vehicles and scales.

[0020] 5. Helps to detect cheating and abnormal situations: The system can quickly detect weighing errors or vehicle cheating by calculating and analyzing the floating value deviation range of the vehicle tare weight, which is conducive to maintaining a fair and competitive market order.

[0021] 6. Save labor costs: Through automated operations, the labor costs of enterprises or institutions are reduced and operational efficiency is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a system structure diagram of the present invention. DETAILED DESCRIPTION

[0023] To further illustrate the various embodiments, the present invention provides drawings. These drawings are part of the disclosure of the present invention, which are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, a person of ordinary skill in the art should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0024] The present invention will now be further described with reference to the accompanying drawings and specific implementation methods.

[0025] The invention discloses a weighbridge measurement and calibration information management system based on the Internet of Things. The system can monitor and process weighbridge measurement data in real time to ensure the accuracy of the data, and can quickly locate the location where the measurement data is wrong so as to make corrections in time, thereby avoiding trade disputes and economic losses caused by measurement data errors.

[0026] Specifically, the IoT-based weighbridge measurement and calibration information management system of the present invention mainly includes the following parts: a data center server, which is respectively connected to a data acquisition unit, a vehicle tare weight value floating detection unit, a vehicle tare weight measurement data impact analysis unit, a weighbridge dynamic integrity analysis unit, and a risk analysis and evaluation unit.

[0027] in:

[0028] The data acquisition unit is used to collect the measurement data of the weighbridge, including the vehicle tare measurement data of at least two weighbridges of the same weighed vehicle during the loading and unloading stage, and transmit the vehicle tare measurement data as the analysis object to the data center server respectively, and then transmit it to the vehicle tare value floating detection unit for detection by the data center server. In specific practice, during the loading and unloading stage, the vehicle tare measurement data of at least two weighbridges are collected for each vehicle. These data can be collected in real time or at specific time intervals. The data acquisition unit will store these data and transmit them to the data center server for subsequent processing when necessary.

[0029] The vehicle tare weight value floating detection unit is used to calculate the vehicle tare weight floating value deviation range for the analysis object: compare the tare weight measurement data of different scales of the same weighed vehicle during the loading and unloading stage. If the difference value does not exceed the deviation range, it is marked as the scale measurement is correct; if the difference value exceeds the deviation range, it is marked as the vehicle tare weight measurement distortion; and the comparison result is fed back to the data center server, and the data center server transmits the vehicle tare weight measurement distortion data to the vehicle tare weight measurement data impact analysis unit for analysis. The vehicle tare weight value floating detection unit will regularly compare the vehicle tare weight measurement data of all vehicles and calculate the data deviation range. This deviation range is calculated based on a certain algorithm, which can reflect the maximum allowable error range of the vehicle tare weight measurement data. When the vehicle tare weight measurement data exceeds this range, it will be judged as measurement distortion.

[0030] As a preferred embodiment of the present invention, the factors affecting the deviation range of the floating numerical value of the vehicle tare weight include the change in the amount of oil stored in the vehicle tank, the amount of water in the water tank, the weight of the passenger seat, etc.

[0031] The vehicle tare weight measurement data impact analysis unit is used to analyze the corresponding weighbridges identified as vehicle tare weight measurement distortions, and transmit the analysis results to the weighbridge dynamic integrity analysis unit. When the vehicle tare weight measurement data is identified as measurement distortion, the vehicle tare weight measurement data impact analysis unit will conduct further analysis on it. This unit will check all relevant weighbridge information, including information such as the type and load of the vehicle, as well as information such as the working status of the weighbridge, and make judgments based on this. If the impact range of the vehicle tare weight measurement data is small, it may be a problem with a specific weighbridge, then the vehicle tare weight measurement data impact analysis unit will feed back this problem to the data center server to let the server know the specific situation of the problem. If the impact range of the vehicle tare weight measurement data is large, it may involve multiple weighbridges, then the vehicle tare weight measurement data impact analysis unit will feed back these problems to the data center server together, letting the server know that these weighbridges need to be analyzed or calibrated.

[0032] As a preferred embodiment of the present invention, the analysis process of the vehicle tare weight measurement data impact analysis unit includes two steps: (1) retrieving the historical data of the vehicle identified as having vehicle tare weight measurement distortion and comparing it with the current distorted weighing data to determine which scale generated the distorted data, and transmitting the analysis result to the dynamic integrity analysis unit of the scale for analysis; (2) if the historical data of the vehicle identified as having vehicle tare weight measurement distortion cannot be retrieved, the corresponding scale information involving the current measurement distortion will be transmitted to the dynamic integrity analysis unit of the scale for analysis.

[0033] The dynamic integrity analysis unit of the weighbridge is used to analyze the weighbridge information involved in the vehicle tare weight measurement distortion identified, compare the tare weight measurement data of the vehicles weighed on the weighbridge, and make a conclusion as to whether there is cheating in weighing or the weighbridge needs to be calibrated immediately, and feed the conclusion back to the data center server. The dynamic integrity analysis unit of the weighbridge will perform statistical analysis on the information of all weighbridges and make judgments accordingly. If all vehicles on a certain weighbridge have problems within the scope of the tare weight measurement data, then this means that the weighbridge has a large measurement distortion problem and needs to be calibrated immediately.

[0034] As a preferred embodiment of the present invention, the analysis process of the dynamic integrity analysis unit of the weighing scale includes: (1) if no distortion is found in the tare weight measurement data of the vehicles weighed on the weighing scale, then the vehicles previously marked as distorted in tare weight measurement are determined to be incorrect in this measurement data, and cheating in weighing exists; (2) if the tare weight measurement data of most vehicles weighed on the weighing scale are found to be distorted, then the vehicles previously marked as distorted in tare weight measurement are determined to be incorrect in this measurement data, and the weighing scale must be calibrated immediately.

[0035] The risk analysis and evaluation unit is used to perform logical verification on the metering data on the data center server, and finally mark whether the weighbridge's measurement standard is accurate or not. The risk analysis and evaluation unit will perform logical verification on all metering data on the data center server to ensure the accuracy of the metering data. It will check the source of each data point to ensure the reliability of the data and reject unqualified data when necessary. At the same time, it will also check the data processing process to ensure that each step is executed correctly. Once a problem is found, it will cause the data center server to issue an alarm and require the server to re-analyze.

[0036] Specific usage scenarios of the present invention:

[0037] 1. Use the vehicle tare value floating detection unit to compare the tare weight measurement data of the two scales A and B during the loading and unloading stage of the weighed vehicle. If the difference value does not exceed the set deviation range, it is marked that the measurement of this scale is correct; if the difference value exceeds the set deviation range, it is marked that the measurement of this scale is incorrect, and the two scales A and B involved need to be analyzed;

[0038] 2. Using the dynamic integrity analysis unit of the weighbridge, the tare weight data of the vehicles weighed on the A and B weighbridges are compared with the tare weight data of the vehicles weighed on other weighbridges within a certain period of time, so as to determine whether the measurement of the A or B weighbridge is incorrect, or whether there is cheating in the measurement of the weighed vehicles;

[0039] 3. Use the risk analysis and assessment unit to perform logical verification on the above analysis data, and finally mark whether the measurement standard of the scale is accurate or not.

[0040] Through such a design, the IoT-based weighbridge measurement and calibration information management system of the present invention can effectively detect and correct the weighbridge measurement data, thereby ensuring the accuracy of the measurement data, and conduct risk assessment based on the vehicle's weighing tare data at different weighbridges and within a certain period of time. The vehicle's weighing tare data abnormalities can be reasonably analyzed to determine the accuracy of the current weighbridge measurement and whether there is any cheating in weighing, which has high practical value.

[0041] Although the present invention has been specifically shown and described in conjunction with the preferred embodiments, it should be understood by those skilled in the art that various changes may be made to the present invention in form and details without departing from the spirit and scope of the present invention as defined by the appended claims, all of which are within the scope of protection of the present invention.

Claims

1. A weighbridge measurement and calibration information management system based on the Internet of Things, characterized in that: It includes a data center server, which is respectively connected to a data acquisition unit, a vehicle tare weight value floating detection unit, a vehicle tare weight measurement data impact analysis unit, a weighbridge dynamic integrity analysis unit, and a risk analysis and evaluation unit; The data acquisition unit is used to collect weighbridge measurement data, including vehicle tare measurement data of at least two weighbridges during the loading and unloading stages of the same weighed vehicle, and transmit the vehicle tare measurement data as analysis objects to the data center server, and then transmit the data center server to the vehicle tare value fluctuation detection unit for detection; The vehicle tare weight value floating detection unit is used to calculate the vehicle tare weight floating value deviation range of the analysis object: compare the tare weight measurement data of different scales during the loading and unloading stages of the same weighed vehicle, and if the difference value does not exceed the deviation range, it is marked as the scale measurement is correct; if the difference value exceeds the deviation range, it is marked as the vehicle tare weight measurement is distorted; and the comparison result is fed back to the data center server, and the data center server transmits the vehicle tare weight measurement distortion data to the vehicle tare weight measurement data impact analysis unit for analysis; The vehicle tare weight measurement data impact analysis unit is used to analyze the corresponding weighbridge identified as having vehicle tare weight measurement distortion, and transmit the analysis result to the weighbridge dynamic integrity analysis unit; The weighbridge dynamic integrity analysis unit is used to analyze the weighbridge information involved in the vehicle tare weight measurement distortion identified, compare the tare weight measurement data of vehicles weighed on the weighbridge, and make a conclusion on whether there is cheating in weighing or whether the weighbridge needs to be calibrated immediately, and feed the conclusion back to the data center server; The risk analysis and evaluation unit is used to perform logical verification on the measurement data on the data center server, and ultimately mark whether the measurement standard of the weighing scale is accurate or not.

2. The information management system for weighbridge measurement and calibration based on the Internet of Things according to claim 1, characterized in that: The factors affecting the range of the vehicle tare weight floating value deviation include the change in the amount of oil in the vehicle tank, the amount of water in the water tank, and the weight of the passenger seat occupant.

3. The information management system for weighbridge measurement and calibration based on the Internet of Things according to claim 1, characterized in that: The analysis process of the vehicle tare weight measurement data impact analysis unit includes two steps: (1) retrieving the historical data of the vehicle identified as having vehicle tare weight measurement distortion and comparing it with the current distorted weighing data to determine which scale generated the distorted data, and transmitting the analysis results to the dynamic integrity analysis unit of the scale for analysis; (2) if the historical data of the vehicle identified as having vehicle tare weight measurement distortion cannot be retrieved, the corresponding scale information involved in this measurement distortion will be transmitted to the dynamic integrity analysis unit of the scale for analysis.

4. The information management system for weighbridge measurement and calibration based on the Internet of Things according to claim 1, characterized in that: The analysis process of the dynamic integrity analysis unit of the weighing scale includes: (1) if no distortion is found in the tare weight measurement data of the vehicles weighed on the weighing scale, then the vehicle tare weight measurement previously marked as distorted is determined to be incorrect for this measurement data, and there is cheating in weighing; (2) if the tare weight measurement data of most vehicles weighed on the weighing scale is found to be distorted, then the vehicle tare weight measurement previously marked as distorted is determined to be incorrect for this measurement data, and the weighing scale must be calibrated immediately.

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