Remote monitoring and control method and system of electronic weighbridge for freight management

Abstract

The present invention relates to the field of remote monitoring technology, and in particular to a remote monitoring and control method and system for an electronic platform scale for freight management, the method comprising: analyzing soil layer samples to form a foundation analysis benchmark data set of the electronic platform scale, and constructing a foundation settlement model of the electronic platform scale according to real-time environmental data; performing compensation and correction processing on the foundation settlement model through the foundation analysis benchmark data set; evaluating and calculating the instantaneous settlement risk value of each vertex of the electronic platform scale; making a real-time risk level judgment on the electronic platform scale, and predicting the remaining weighing amount of the electronic platform scale, while dynamically controlling the working mode of the electronic platform scale. The present invention solves the problem in the prior art that the electronic platform scale is affected by the rainy environment and the real-time monitoring of the dynamic change of weighing accuracy is weak, thereby improving the safety, reliability and intelligence level of the electronic platform scale.

Description

Technical Field

[0001] The present invention relates to the field of remote monitoring technology, and in particular to a remote monitoring and control method and system for an electronic weighbridge used for freight management. Background Art

[0002] In the field of freight management, electronic floor scales are key equipment for measuring the weight of goods, and their stability and accuracy are crucial. However, traditional electronic floor scales face many challenges in practical applications. Existing technologies mainly rely on static measurements, and usually ignore the impact of foundation settlement and environmental changes on weighing accuracy. Traditional electronic floor scales are difficult to monitor the dynamic changes of foundation settlement in real time, and cannot automatically adjust the working mode to adapt to environmental fluctuations, resulting in inaccurate weighing data, increasing equipment maintenance costs and management difficulties. In addition, on-site maintenance and inspections frequently occupy a large amount of human resources and cannot respond to sudden risks in a timely manner. Therefore, there is an urgent need for an electronic floor scale system that integrates advanced monitoring and control technologies to achieve real-time monitoring and dynamic adjustment of foundation settlement and environmental changes, thereby improving the stability, accuracy and automation level of the equipment, which can not only reduce manual intervention and improve work efficiency, but also reduce equipment failure rate and maintenance costs, which is of great significance to improving the intelligence and precision level of overall freight management.

[0003] In the existing disclosed invention technologies, for example, the patent with publication number CN117557175A discloses an intelligent control and management system for a weighbridge, which includes obtaining the position deviation coefficient of the vehicle through analysis, and determining the weighing status of the vehicle based on the comparison result of the position deviation coefficient, thereby improving the accuracy of measurement and making the monitoring and processing process more efficient and rapid. By comparing the empty vehicle weight with the vehicle's previous weighing record weights, the vehicle's compliance with the weighing requirements is obtained and corresponding processing is performed to ensure the compliance of the vehicle with the weighing requirements, which helps to ensure the accurate measurement and compliant transportation of goods. By analyzing the cargo weight accuracy coefficient, it helps to evaluate the accuracy and consistency of the cargo weight, thereby improving the accuracy of cargo weight measurement, cargo transportation efficiency and safety. By analyzing the stability coefficient of the weighbridge, it helps to avoid weighing errors caused by weighbridge problems and ensure the accuracy and credibility of cargo weighing.

[0004] The above patent places high demands on the computing performance of the system for real-time analysis and processing of large amounts of data. Especially in a busy freight environment, it is necessary to ensure that the system can process data in real time and respond. There is a problem of weak real-time monitoring of dynamic changes in weighing accuracy. Summary of the invention

[0005] The technical problem to be solved by the present invention is that in the prior art, the electronic floor scale is affected by the rainy environment and the real-time monitoring of the dynamic changes of weighing accuracy is weak. A remote monitoring and control method and system for an electronic floor scale for freight management are proposed.

[0006] In order to achieve the above-mentioned object, the technical solution of the electronic weighbridge remote monitoring and control method for freight management of the present invention comprises the following steps:

[0007] S1: When the electronic platform scale is first installed, soil samples are collected from each top corner of the foundation pit of the electronic platform scale, and the soil samples are analyzed simultaneously to form a foundation analysis benchmark data set for the electronic platform scale;

[0008] S2: Obtaining the operation status data and real-time environmental data of the electronic floor scale, and constructing a foundation settlement model of the electronic floor scale according to the real-time environmental data;

[0009] S3: extracting a foundation analysis benchmark data set, and performing compensation correction processing on the foundation settlement model through the foundation analysis benchmark data set to obtain a corrected foundation settlement model;

[0010] S4: Based on the revised foundation settlement model, evaluate and calculate the instantaneous settlement risk value of each top angle of the electronic floor scale;

[0011] S5: According to the instantaneous settlement risk value, the real-time risk level of the electronic scale is judged, and the remaining weighing amount of the electronic scale is predicted;

[0012] S6: Establish a remote monitoring platform for the electronic floor scale and dynamically control the working mode of the electronic floor scale according to the remaining weighing quota of the electronic floor scale.

[0013] Specifically, S1 includes the following specific steps:

[0014] S11: When the electronic platform scale is first installed, soil samples are collected from each corner of the foundation pit of the electronic platform scale, and rainwater samples are obtained in the area where the electronic platform scale is located. The reference temperature of the rainwater sample is , the pH of the rainwater sample is ;

[0015] S12: dripping rainwater samples on the surface of the soil layer samples, recording the rainwater penetration amount of the rainwater samples in the soil layer samples at each vertex during the unit soil layer sample test period, and calculating the first rainwater penetration rate in the soil layer samples at each vertex during the single soil layer sample test period, wherein the first rainwater penetration rate is the ratio of the rainwater penetration amount to the duration of the single soil layer sample test period;

[0016] S13: Repeat step S12 to perform Rainwater penetration test, extraction The first penetration rate of rainwater in the soil samples at each top angle in the first rainwater penetration test , forming a benchmark dataset for foundation analysis of electronic weighbridges ,in, , middle is a subscript, indicating the number of each top corner in the foundation pit of the electronic platform scale. Indicated in In the first rainwater penetration test, The first infiltration velocity of rainwater in the soil layer samples at the top angles.

[0017] Specifically, in S2, the operating status data of the electronic floor scale specifically includes: inclination angle data, support height data and factory height data of the electronic floor scale support; the real-time environmental data specifically includes: rainwater temperature and rainwater pH data accumulated at each top corner in the foundation pit of the electronic floor scale.

[0018] Specifically, in S3, the compensation correction process includes: temperature compensation correction process and pH compensation correction process;

[0019] The temperature compensation correction process specifically includes:

[0020] S31: collecting the rainwater temperature accumulated at each vertex in the foundation pit of the electronic platform scale in real time, and drawing a real-time change curve of the rainwater temperature accumulated at each vertex with the rainwater temperature at the monitoring time point;

[0021] S32: Perform temperature compensation correction processing according to the real-time change curve of rainwater temperature, specifically:

[0022] ;

[0023] in, The number of the foundation pit is Temperature compensation correction factor corresponding to the vertex angle;

[0024] Indicates the monitoring time point is When The temperature of rainwater accumulated at the top corner; The total monitoring time;

[0025] is the integral symbol, indicating that in the integral interval Top pair integral;

[0026] The pH compensation correction process specifically includes:

[0027] S33: collecting the pH value of rainwater accumulated at each corner of the foundation pit of the electronic platform scale in real time, and drawing a real-time change curve of the pH value of rainwater accumulated at each corner with the pH value of rainwater at the monitoring time point;

[0028] S34: Perform pH compensation correction processing according to the real-time pH change curve of rainwater, specifically:

[0029] ;

[0030] in, The number of the foundation pit is pH compensation correction factor corresponding to the vertex angle;

[0031] Indicates the monitoring time point is When The pH of rainwater accumulated at the top corner.

[0032] Specifically, in S4, the evaluation and calculation of the instantaneous settlement risk value of the electronic floor scale includes the following specific steps:

[0033] S41: Extracting the tilt angle data from the running status data of the electronic floor scale The tilt angle data is imported into the comprehensive tilt calculation strategy of the weighbridge, and the comprehensive tilt of the weighbridge is calculated in real time. ;

[0034] S42: According to the corrected foundation settlement model, the second rainwater infiltration velocity of each top corner of the electronic scale foundation pit after compensation correction is calculated. The specific calculation strategy is:

[0035] ;

[0036] in, To compensate for the second infiltration rate of rainwater at each top corner of the foundation pit of the corrected electronic platform scale; is the mean value of the first infiltration velocity of rainwater;

[0037] S43: The comprehensive inclination of the scale and the second penetration rate of rainwater are introduced into the instantaneous settlement risk assessment strategy of the electronic scale to evaluate and calculate the instantaneous settlement risk value of each vertex of the electronic scale. , the calculation strategy is as follows:

[0038] ;

[0039] in, are the risk weight coefficients respectively.

[0040] Specifically, in S41, the weighbridge comprehensive inclination calculation strategy is as follows:

[0041] S411: Tilt sensors are arranged at each vertex and each frame midpoint of the weighing table of the electronic floor scale, and the tilt angle data collected by the tilt sensors are extracted. , get the tilt angle dataset , ;

[0042] S412: Extracting the tilt angle dataset Tilt angle data in , construct the tilt angle matrix , ;

[0043] S413: Extracting the tilt angle matrix , and the tilt angle matrix Perform singular value decomposition, the specific decomposition method is: ,in, is the left singular vector matrix, is the right singular vector matrix;

[0044] S414: According to steps S411-S413, the comprehensive inclination of the weighbridge is calculated in real time , the specific calculation strategy is: ,in, is the principal direction vector, and is the matrix The first column vector of is the norm of the principal direction vector.

[0045] Specifically, in S5, the real-time risk level determination of the electronic weighbridge includes:

[0046] S51: Extract the instantaneous settlement risk value of the four corners of the electronic floor scale , preset the maximum tolerance value of the instantaneous settlement risk of the electronic floor scale;

[0047] Furthermore, the setting of the maximum tolerance value of the instantaneous settlement risk of the electronic floor scale can be set by default according to the present invention, or can be set by the operator;

[0048] S52: Screening the instantaneous settlement risk value of the four top corners of the electronic floor scale The number of data that exceeds the maximum tolerance value of the instantaneous settlement risk of the electronic platform scale;

[0049] When the number of data obtained by screening is greater than or equal to 2, the real-time risk level of the electronic floor scale is judged to be a major error risk level;

[0050] When the number of data obtained by screening is greater than 0 and less than 2, the real-time risk level of the electronic floor scale is judged to be the general error risk level;

[0051] When the number of data obtained through screening is equal to 0, the real-time risk level of the electronic floor scale is judged to be the zero error risk level.

[0052] Specifically, S5 also includes the following specific steps:

[0053] S53: When the real-time risk level of the electronic floor scale is the general error risk level;

[0054] S54: extracting the support height data from the operation status data of the electronic floor scale, importing the support height data into the settlement factor calculation strategy of the support, and calculating and obtaining the settlement factors of each top corner support of the electronic floor scale. , wherein the settlement factor calculation strategy of the support member is specifically as follows: , Indicates the total monitoring time Inside, numbered The settled height of the support at the top corner;

[0055] S55: Based on S54, predict the remaining weighing quota of the electronic floor scale , specifically:

[0056] ;

[0057] in, It is the factory weighing quota of the electronic floor scale; It is the factory height of the electronic floor scale support.

[0058] Specifically, in S6, the dynamic control of the working mode of the electronic floor scale specifically includes:

[0059] S61: Establish an electronic scale remote monitoring platform. When the electronic scale remote monitoring platform detects that the real-time risk level of the electronic scale is a major error risk level, stop the weighing work of the electronic scale and contact the electronic scale maintenance personnel for correction and maintenance.

[0060] S62: When the electronic floor scale remote monitoring platform detects that the real-time risk level of the electronic floor scale is a general error risk level, the remaining weighing quota of the electronic floor scale is predicted and the weighing tasks queued in the work list of the electronic floor scale are simultaneously queried to continue the weighing work.

[0061] Specifically, in S6, the dynamic control of the working mode of the electronic floor scale also includes:

[0062] S63: After the electronic floor scale completes the next task to be weighed, the weight data of the task to be weighed is extracted, and the weight data is compared with the remaining weighing quota of the electronic floor scale. When the weight data is greater than or equal to the remaining weighing quota of the electronic floor scale, a re-weighing suggestion is sent to the electronic floor scale remote monitoring platform, and the weighing task is arranged to be repeated on another electronic floor scale, and the weighing work of the electronic floor scale is stopped synchronously, and the electronic floor scale maintenance personnel are contacted for calibration and maintenance.

[0063] S64: When the weight data is less than the remaining weighing quota of the electronic floor scale, the electronic floor scale continues to be remotely monitored through the electronic floor scale remote monitoring platform.

[0064] In addition, the electronic weighbridge remote monitoring and control system for freight management of the present invention includes the following modules:

[0065] Benchmark data set construction module, foundation settlement model construction model, compensation correction module, instantaneous settlement risk value calculation module, risk assessment module and electronic weighbridge remote monitoring platform;

[0066] The reference data set construction module is used to collect soil samples from each top corner of the electronic platform scale foundation pit, and simultaneously analyze the soil samples to form a foundation analysis reference data set for the electronic platform scale;

[0067] The foundation settlement model construction model is used to obtain the operation status data and real-time environmental data of the electronic platform scale, and to construct the foundation settlement model of the electronic platform scale according to the real-time environmental data;

[0068] The compensation and correction module is used to extract the foundation analysis benchmark data set, and perform compensation and correction processing on the foundation settlement model through the foundation analysis benchmark data set to obtain a corrected foundation settlement model;

[0069] The instantaneous settlement risk value calculation module evaluates and calculates the instantaneous settlement risk value of each vertex angle of the electronic floor scale according to the revised foundation settlement model;

[0070] The risk assessment module determines the real-time risk level of the electronic weighbridge according to the instantaneous settlement risk value, and predicts the remaining weighing amount of the electronic weighbridge;

[0071] The electronic floor scale remote monitoring platform dynamically controls the working mode of the electronic floor scale according to the remaining weighing quota of the electronic floor scale.

[0072] Compared with the prior art, the technical effects of the present invention are as follows:

[0073] 1. The present invention collects soil layer samples and rainwater samples when the electronic floor scale is first installed, and conducts detailed infiltration rate tests, so as to construct an accurate foundation analysis benchmark data set and modify the foundation settlement model accordingly. This accurate model enables the system to dynamically adapt to changes in the foundation, improving the accuracy and reliability of the electronic floor scale under different environmental conditions.

[0074] 2. The present invention calculates the instantaneous settlement risk value of each top corner of the electronic floor scale in real time and makes a risk level judgment. Through this function, potential settlement risks can be identified and warned in a timely manner, weighing errors or equipment damage caused by foundation settlement can be prevented, and the safety of weighing operations can be ensured.

[0075] 3. The system of the present invention can automatically control the working mode of the electronic floor scale according to the real-time risk level, for example, stop weighing and contact maintenance personnel when the risk level is high, or continue weighing when the risk level is low. This automated control measure reduces manual intervention and improves work efficiency and equipment maintenance management level.

[0076] 4. The present invention predicts the remaining weighing quota of the electronic weighbridge and dynamically adjusts the work tasks according to the prediction. For example, when it is predicted that the remaining weighing quota is insufficient, the system can suggest transferring the overweight task to other weighbridges for execution. This optimized management improves resource utilization and avoids work interruptions or delays caused by insufficient weighing quota. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0078] Figure 1 It is a flow chart of the remote monitoring and control method of the electronic weighbridge for freight management of the present invention;

[0079] Figure 2 It is a structural schematic diagram of the remote monitoring and control system of the electronic weighbridge for freight management of the present invention. DETAILED DESCRIPTION

[0080] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0081] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0082] Embodiment 1:

[0083] like Figure 1 As shown, the electronic weighbridge remote monitoring and control method for freight management according to an embodiment of the present invention is as follows: Figure 1 As shown, the specific steps are as follows:

[0084] S1: When the electronic platform scale is first installed, soil samples are collected from each top corner of the foundation pit of the electronic platform scale, and the soil samples are analyzed simultaneously to form a foundation analysis benchmark data set for the electronic platform scale;

[0085] S1 includes the following specific steps:

[0086] S11: When the electronic platform scale is first installed, soil samples are collected from each corner of the foundation pit of the electronic platform scale, and rainwater samples are obtained in the area where the electronic platform scale is located. The reference temperature of the rainwater sample is , the pH of the rainwater sample is ;

[0087] S12: dripping rainwater samples on the surface of the soil layer samples, recording the rainwater penetration amount of the rainwater samples in the soil layer samples at each vertex during the unit soil layer sample test period, and calculating the first rainwater penetration rate in the soil layer samples at each vertex during the single soil layer sample test period, wherein the first rainwater penetration rate is the ratio of the rainwater penetration amount to the duration of the single soil layer sample test period;

[0088] S13: Repeat step S12 to perform Rainwater penetration test, extraction The first penetration rate of rainwater in the soil samples at each top angle in the first rainwater penetration test , forming a benchmark dataset for foundation analysis of electronic weighbridges ,in, , middle is a subscript, indicating the number of each top corner in the foundation pit of the electronic platform scale. Indicated in In the first rainwater penetration test, The first infiltration velocity of rainwater in the soil layer samples at the top angles.

[0089] S2: Obtaining the operation status data and real-time environmental data of the electronic floor scale, and constructing a foundation settlement model of the electronic floor scale according to the real-time environmental data;

[0090] In S2, the operating status data of the electronic floor scale specifically includes: inclination angle data, support height data and factory height data of the electronic floor scale support; the real-time environmental data specifically includes: rainwater temperature and rainwater pH data accumulated at each top corner in the foundation pit of the electronic floor scale.

[0091] S3: extracting a foundation analysis benchmark data set, and performing compensation correction processing on the foundation settlement model through the foundation analysis benchmark data set to obtain a corrected foundation settlement model;

[0092] In S3, the compensation correction process includes: temperature compensation correction process and pH compensation correction process;

[0093] The temperature compensation correction process specifically includes:

[0094] S31: collecting the rainwater temperature accumulated at each vertex in the foundation pit of the electronic platform scale in real time, and drawing a real-time change curve of the rainwater temperature accumulated at each vertex with the rainwater temperature at the monitoring time point;

[0095] S32: Perform temperature compensation correction processing according to the real-time change curve of rainwater temperature, specifically:

[0096] ;

[0097] in, The number of the foundation pit is Temperature compensation correction factor corresponding to the vertex angle;

[0098] Indicates the monitoring time point is When The temperature of rainwater accumulated at the top corner; The total monitoring time;

[0099] is the integral symbol, indicating that in the integral interval Top pair integral;

[0100] The pH compensation correction process specifically includes:

[0101] S33: collecting the pH value of rainwater accumulated at each corner of the foundation pit of the electronic platform scale in real time, and drawing a real-time change curve of the pH value of rainwater accumulated at each corner with the pH value of rainwater at the monitoring time point;

[0102] S34: Perform pH compensation correction processing according to the real-time pH change curve of rainwater, specifically:

[0103] ;

[0104] in, The number of the foundation pit is pH compensation correction factor corresponding to the vertex angle;

[0105] Indicates the monitoring time point is When The pH of rainwater accumulated at the top corner.

[0106] S4: Based on the revised foundation settlement model, evaluate and calculate the instantaneous settlement risk value of each top angle of the electronic floor scale;

[0107] In S4, the evaluation and calculation of the instantaneous settlement risk value of the electronic weighbridge includes the following specific steps:

[0108] S41: Extracting the tilt angle data from the running status data of the electronic floor scale The tilt angle data is imported into the comprehensive tilt calculation strategy of the weighbridge, and the comprehensive tilt of the weighbridge is calculated in real time. ;

[0109] S42: According to the corrected foundation settlement model, the second rainwater infiltration velocity of each top corner of the electronic scale foundation pit after compensation correction is calculated. The specific calculation strategy is:

[0110] ;

[0111] in, To compensate for the second infiltration rate of rainwater at each top corner of the foundation pit of the corrected electronic platform scale; is the mean value of the first infiltration velocity of rainwater;

[0112] S43: The comprehensive inclination of the scale and the second penetration rate of rainwater are introduced into the instantaneous settlement risk assessment strategy of the electronic scale to evaluate and calculate the instantaneous settlement risk value of each vertex of the electronic scale. , the calculation strategy is as follows:

[0113] ;

[0114] in, are the risk weight coefficients respectively.

[0115] In S41, the weighbridge comprehensive inclination calculation strategy is as follows:

[0116] S411: Tilt sensors are arranged at each vertex and each frame midpoint of the weighing table of the electronic floor scale, and the tilt angle data collected by the tilt sensors are extracted. , get the tilt angle dataset , ;

[0117] S412: Extracting the tilt angle dataset Tilt angle data in , construct the tilt angle matrix , ;

[0118] S413: Extracting the tilt angle matrix , and the tilt angle matrix Perform singular value decomposition, the specific decomposition method is: ,in, is the left singular vector matrix, is the right singular vector matrix;

[0119] S414: According to steps S411-S413, the comprehensive inclination of the weighbridge is calculated in real time , the specific calculation strategy is: ,in, is the principal direction vector, and is the matrix The first column vector of is the norm of the principal direction vector.

[0120] S5: According to the instantaneous settlement risk value, the real-time risk level of the electronic scale is judged, and the remaining weighing amount of the electronic scale is predicted;

[0121] In S5, the real-time risk level determination of the electronic weighbridge includes:

[0122] S51: Extract the instantaneous settlement risk value of the four corners of the electronic floor scale , preset the maximum tolerance value of the instantaneous settlement risk of the electronic floor scale;

[0123] Exemplarily, in this embodiment, the maximum tolerance value of the instantaneous settlement risk of the electronic floor scale is 2.128.

[0124] S52: Screening the instantaneous settlement risk value of the four top corners of the electronic floor scale The number of data that exceeds the maximum tolerance value of the instantaneous settlement risk of the electronic platform scale;

[0125] When the number of data obtained by screening is greater than or equal to 2, the real-time risk level of the electronic floor scale is judged to be a major error risk level;

[0126] When the number of data obtained by screening is greater than 0 and less than 2, the real-time risk level of the electronic floor scale is judged to be the general error risk level;

[0127] When the number of data obtained through screening is equal to 0, the real-time risk level of the electronic floor scale is judged to be the zero error risk level.

[0128] S5 also includes the following specific steps:

[0129] S53: When the real-time risk level of the electronic floor scale is the general error risk level;

[0130] S54: extracting the support height data from the operation status data of the electronic floor scale, importing the support height data into the settlement factor calculation strategy of the support, and calculating and obtaining the settlement factors of each top corner support of the electronic floor scale. , wherein the settlement factor calculation strategy of the support member is specifically as follows: , Indicates the total monitoring time Inside, numbered The settled height of the support at the top corner;

[0131] S55: Based on S54, predict the remaining weighing quota of the electronic floor scale , specifically:

[0132] ;

[0133] in, It is the factory weighing quota of the electronic floor scale; It is the factory height of the electronic floor scale support.

[0134] S6: Establish a remote monitoring platform for the electronic floor scale and dynamically control the working mode of the electronic floor scale according to the remaining weighing quota of the electronic floor scale.

[0135] In S6, the dynamic control of the working mode of the electronic floor scale specifically includes:

[0136] S61: Establish an electronic scale remote monitoring platform. When the electronic scale remote monitoring platform detects that the real-time risk level of the electronic scale is a major error risk level, stop the weighing work of the electronic scale and contact the electronic scale maintenance personnel for correction and maintenance.

[0137] S62: When the electronic floor scale remote monitoring platform detects that the real-time risk level of the electronic floor scale is a general error risk level, the remaining weighing quota of the electronic floor scale is predicted and the weighing tasks queued in the work list of the electronic floor scale are simultaneously queried to continue the weighing work.

[0138] S63: After the electronic floor scale completes the next task to be weighed, the weight data of the task to be weighed is extracted, and the weight data is compared with the remaining weighing quota of the electronic floor scale. When the weight data is greater than or equal to the remaining weighing quota of the electronic floor scale, a re-weighing suggestion is sent to the electronic floor scale remote monitoring platform, and the weighing task is arranged to be repeated on another electronic floor scale, and the weighing work of the electronic floor scale is stopped synchronously, and the electronic floor scale maintenance personnel are contacted for calibration and maintenance.

[0139] S64: When the weight data is less than the remaining weighing quota of the electronic floor scale, the electronic floor scale continues to be remotely monitored through the electronic floor scale remote monitoring platform.

[0140] Embodiment 2:

[0141] like Figure 2 As shown, the electronic weighbridge remote monitoring and control system for freight management according to the embodiment of the present invention is as follows: Figure 2 As shown, it includes the following modules:

[0142] Benchmark data set construction module, foundation settlement model construction model, compensation correction module, instantaneous settlement risk value calculation module, risk assessment module and electronic weighbridge remote monitoring platform;

[0143] The reference data set construction module is used to collect soil samples from each top corner of the electronic platform scale foundation pit, and simultaneously analyze the soil samples to form a foundation analysis reference data set for the electronic platform scale;

[0144] The foundation settlement model construction model is used to obtain the operation status data and real-time environmental data of the electronic platform scale, and to construct the foundation settlement model of the electronic platform scale according to the real-time environmental data;

[0145] The compensation and correction module is used to extract the foundation analysis benchmark data set, and perform compensation and correction processing on the foundation settlement model through the foundation analysis benchmark data set to obtain a corrected foundation settlement model;

[0146] The instantaneous settlement risk value calculation module evaluates and calculates the instantaneous settlement risk value of each vertex angle of the electronic floor scale according to the revised foundation settlement model;

[0147] The risk assessment module determines the real-time risk level of the electronic weighbridge according to the instantaneous settlement risk value, and predicts the remaining weighing amount of the electronic weighbridge;

[0148] The electronic floor scale remote monitoring platform dynamically controls the working mode of the electronic floor scale according to the remaining weighing quota of the electronic floor scale.

[0149] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0150] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0151] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0152] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only one, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0153] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0154] In summary, compared with the prior art, the technical effects of the present invention are as follows:

[0155] 1. The present invention collects soil layer samples and rainwater samples when the electronic floor scale is first installed, and conducts detailed infiltration rate tests, so as to construct an accurate foundation analysis benchmark data set and modify the foundation settlement model accordingly. This accurate model enables the system to dynamically adapt to changes in the foundation, improving the accuracy and reliability of the electronic floor scale under different environmental conditions.

[0156] 2. The present invention calculates the instantaneous settlement risk value of each top corner of the electronic floor scale in real time and makes a risk level judgment. Through this function, potential settlement risks can be identified and warned in a timely manner, weighing errors or equipment damage caused by foundation settlement can be prevented, and the safety of weighing operations can be ensured.

[0157] 3. The system of the present invention can automatically control the working mode of the electronic floor scale according to the real-time risk level, for example, stop weighing and contact maintenance personnel when the risk level is high, or continue weighing when the risk level is low. This automated control measure reduces manual intervention and improves work efficiency and equipment maintenance management level.

[0158] 4. The present invention predicts the remaining weighing quota of the electronic weighbridge and dynamically adjusts the work tasks according to the prediction. For example, when it is predicted that the remaining weighing quota is insufficient, the system can suggest transferring the overweight task to other weighbridges for execution. This optimized management improves resource utilization and avoids work interruptions or delays caused by insufficient weighing quota.

[0159] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A remote monitoring and control method for an electronic weighbridge for freight management, characterized in that: The method comprises the following specific steps: S1: When the electronic platform scale is first installed, soil samples are collected from each top corner of the foundation pit of the electronic platform scale, and the soil samples are analyzed simultaneously to form a foundation analysis benchmark data set for the electronic platform scale; S2: Obtaining the operation status data and real-time environmental data of the electronic floor scale, and constructing a foundation settlement model of the electronic floor scale according to the real-time environmental data; S3: extracting a foundation analysis benchmark data set, and performing compensation correction processing on the foundation settlement model through the foundation analysis benchmark data set to obtain a corrected foundation settlement model; S4: Based on the revised foundation settlement model, evaluate and calculate the instantaneous settlement risk value of each top angle of the electronic floor scale; S5: According to the instantaneous settlement risk value, the real-time risk level of the electronic scale is judged, and the remaining weighing amount of the electronic scale is predicted; S6: Establish a remote monitoring platform for the electronic floor scale and dynamically control the working mode of the electronic floor scale according to the remaining weighing quota of the electronic floor scale.

2. The remote monitoring and control method of an electronic weighbridge for freight management according to claim 1, characterized in that: S1 includes the following specific steps: S11: When the electronic platform scale is first installed, soil samples are collected from each corner of the foundation pit of the electronic platform scale, and rainwater samples are obtained in the area where the electronic platform scale is located. The reference temperature of the rainwater sample is , the pH of the rainwater sample is ; S12: dripping rainwater samples on the surface of the soil layer samples, recording the rainwater penetration amount of the rainwater samples in the soil layer samples at each vertex during the unit soil layer sample test period, and calculating the first rainwater penetration rate in the soil layer samples at each vertex during the single soil layer sample test period, wherein the first rainwater penetration rate is the ratio of the rainwater penetration amount to the duration of the single soil layer sample test period; S13: Repeat step S12 to perform Rainwater penetration test, extraction The first penetration rate of rainwater in the soil samples at each top angle in the first rainwater penetration test , forming a benchmark dataset for foundation analysis of electronic weighbridges ,in, , middle is a subscript, indicating the number of each top corner in the foundation pit of the electronic platform scale. Indicated in In the first rainwater penetration test, The first infiltration velocity of rainwater in the soil layer samples at the top angles.

3. The remote monitoring and control method of an electronic weighbridge for freight management according to claim 2, characterized in that: In S3, the compensation correction process includes: temperature compensation correction process and pH compensation correction process; The temperature compensation correction process specifically includes: S31: collecting the rainwater temperature accumulated at each vertex in the foundation pit of the electronic platform scale in real time, and drawing a real-time change curve of the rainwater temperature accumulated at each vertex with the rainwater temperature at the monitoring time point; S32: Perform temperature compensation correction processing according to the real-time change curve of rainwater temperature, specifically: ； in, The number of the foundation pit is Temperature compensation correction factor corresponding to the vertex angle; Indicates the monitoring time point is When The temperature of rainwater accumulated at the top corner; The total monitoring time; is the integral symbol, indicating that in the integral interval Top pair integral; The pH compensation correction process specifically includes: S33: collecting the pH value of rainwater accumulated at each corner of the foundation pit of the electronic platform scale in real time, and drawing a real-time change curve of the pH value of rainwater accumulated at each corner with the pH value of rainwater at the monitoring time point; S34: Perform pH compensation correction processing according to the real-time pH change curve of rainwater, specifically: ； in, The number of the foundation pit is pH compensation correction factor corresponding to the vertex angle; Indicates the monitoring time point is When The pH of rainwater accumulated at the top corner.

4. The remote monitoring and control method of an electronic weighbridge for freight management according to claim 3 is characterized in that: In S4, the evaluation and calculation of the instantaneous settlement risk value of the electronic weighbridge includes the following specific steps: S41: Extracting the tilt angle data from the running status data of the electronic floor scale The tilt angle data is imported into the comprehensive tilt calculation strategy of the weighbridge, and the comprehensive tilt of the weighbridge is calculated in real time. ; S42: According to the corrected foundation settlement model, the second rainwater infiltration velocity of each top corner of the electronic scale foundation pit after compensation correction is calculated. The specific calculation strategy is: ； in, To compensate for the second infiltration rate of rainwater at each top corner of the foundation pit of the corrected electronic platform scale; is the mean value of the first infiltration velocity of rainwater; S43: The comprehensive inclination of the scale and the second penetration rate of rainwater are introduced into the instantaneous settlement risk assessment strategy of the electronic scale to evaluate and calculate the instantaneous settlement risk value of each vertex of the electronic scale. , the calculation strategy is as follows: ； in, are the risk weight coefficients respectively.

5. The remote monitoring and control method of an electronic weighbridge for freight management according to claim 4, characterized in that: In S41, the weighbridge comprehensive inclination calculation strategy is as follows: S411: Tilt sensors are arranged at each vertex and each frame midpoint of the weighing table of the electronic floor scale, and the tilt angle data collected by the tilt sensors are extracted. , get the tilt angle dataset , ; S412: Extracting the tilt angle dataset Tilt angle data in , construct the tilt angle matrix , ; S413: Extracting the tilt angle matrix , and the tilt angle matrix Perform singular value decomposition, the specific decomposition method is: ,in, is the left singular vector matrix, is the right singular vector matrix; S414: According to steps S411-S413, the comprehensive inclination of the weighbridge is calculated in real time , the specific calculation strategy is: ,in, is the main direction vector, which is the first column vector of the matrix S. is the norm of the principal direction vector.

6. The remote monitoring and control method of an electronic weighbridge for freight management according to claim 5, characterized in that: In S5, the real-time risk level determination of the electronic weighbridge includes: S51: Extract the instantaneous settlement risk value of the four corners of the electronic floor scale , preset the maximum tolerance value of the instantaneous settlement risk of the electronic floor scale; S52: Screening the instantaneous settlement risk value of the four top corners of the electronic floor scale The number of data that exceeds the maximum tolerance value of the instantaneous settlement risk of the electronic platform scale; When the number of data obtained by screening is greater than or equal to 2, the real-time risk level of the electronic floor scale is judged to be a major error risk level; When the number of data obtained by screening is greater than 0 and less than 2, the real-time risk level of the electronic floor scale is judged to be the general error risk level; When the number of data obtained through screening is equal to 0, the real-time risk level of the electronic floor scale is judged to be the zero error risk level.

7. The remote monitoring and control method of an electronic weighbridge for freight management according to claim 6, characterized in that: S5 also includes the following specific steps: S53: When the real-time risk level of the electronic floor scale is the general error risk level; S54: extracting the support height data from the operation status data of the electronic floor scale, importing the support height data into the settlement factor calculation strategy of the support, and calculating and obtaining the settlement factors of each top corner support of the electronic floor scale. , wherein the settlement factor calculation strategy of the support member is specifically as follows: , Indicates the total monitoring time Inside, numbered The settled height of the support at the top corner; S55: Based on S54, predict the remaining weighing quota of the electronic floor scale , specifically: ； in, It is the factory weighing quota of the electronic floor scale; It is the factory height of the electronic floor scale support.

8. The remote monitoring and control method of an electronic weighbridge for freight management according to claim 7, characterized in that: In S6, the dynamic control of the working mode of the electronic floor scale specifically includes: S61: Establish an electronic scale remote monitoring platform. When the electronic scale remote monitoring platform detects that the real-time risk level of the electronic scale is a major error risk level, stop the weighing work of the electronic scale and contact the electronic scale maintenance personnel for correction and maintenance. S62: When the electronic floor scale remote monitoring platform detects that the real-time risk level of the electronic floor scale is a general error risk level, the remaining weighing quota of the electronic floor scale is predicted and the weighing tasks queued in the work list of the electronic floor scale are simultaneously queried to continue the weighing work.

9. The remote monitoring and control method of an electronic weighbridge for freight management according to claim 8, characterized in that: In S6, the dynamic control of the working mode of the electronic floor scale also includes: S63: After the electronic floor scale completes the next task to be weighed, the weight data of the task to be weighed is extracted, and the weight data is compared with the remaining weighing quota of the electronic floor scale. When the weight data is greater than or equal to the remaining weighing quota of the electronic floor scale, a re-weighing suggestion is sent to the electronic floor scale remote monitoring platform, and the weighing task is arranged to be repeated on another electronic floor scale, and the weighing work of the electronic floor scale is stopped synchronously, and the electronic floor scale maintenance personnel are contacted for calibration and maintenance. S64: When the weight data is less than the remaining weighing quota of the electronic floor scale, the electronic floor scale continues to be remotely monitored through the electronic floor scale remote monitoring platform.

10. An electronic weighbridge remote monitoring and control system for freight management, which is implemented based on the electronic weighbridge remote monitoring and control method for freight management according to any one of claims 1 to 9, characterized in that: The system includes the following modules: Benchmark data set construction module, foundation settlement model construction model, compensation correction module, instantaneous settlement risk value calculation module, risk assessment module and electronic weighbridge remote monitoring platform; The reference data set construction module is used to collect soil samples from each top corner of the electronic platform scale foundation pit, and simultaneously analyze the soil samples to form a foundation analysis reference data set for the electronic platform scale; The foundation settlement model construction model is used to obtain the operation status data and real-time environmental data of the electronic platform scale, and to construct the foundation settlement model of the electronic platform scale according to the real-time environmental data; The compensation and correction module is used to extract the foundation analysis benchmark data set, and perform compensation and correction processing on the foundation settlement model through the foundation analysis benchmark data set to obtain a corrected foundation settlement model; The instantaneous settlement risk value calculation module evaluates and calculates the instantaneous settlement risk value of each vertex angle of the electronic floor scale according to the revised foundation settlement model; The risk assessment module determines the real-time risk level of the electronic weighbridge according to the instantaneous settlement risk value, and predicts the remaining weighing amount of the electronic weighbridge; The electronic floor scale remote monitoring platform dynamically controls the working mode of the electronic floor scale according to the remaining weighing quota of the electronic floor scale.

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