Condition monitoring system, condition monitoring method and storage medium for truck scales

Abstract

This application relates to the field of intelligent transportation technology, and provides a condition monitoring system, condition monitoring method, and storage medium for truck scales. The condition monitoring system includes a truck scale and a host computer. The weighing module on the truck scale includes a first weighing module and a second weighing module. The host computer is used to: acquire target first weighing data corresponding to the target first weighing module and target second weighing data corresponding to the target second weighing module; and determine that the target weighing module is in an abnormal state if the target first weighing data and target second weighing data do not satisfy a preset first correspondence. This can help solve the problem of poor reliability of truck scales. Since the host computer can determine that the target weighing module is in an abnormal state when the target first weighing data and target second weighing data do not satisfy the first correspondence, automatic monitoring of the truck scale's state can be achieved, thereby improving the reliability of the truck scale.

Description

Technical Field

[0001] This application relates to the field of intelligent transportation technology, and in particular to the condition monitoring system, condition monitoring method and storage medium for truck scales. Background Technology

[0002] A truck scale is a weighing device that uses the principle of strain gauge measurement. Typically, a truck scale is equipped with several load cells. When a load cell is subjected to a load, the weighing data collected by the load cells changes proportionally with the load, thus allowing the load to be determined based on the weighing data.

[0003] In related technologies, several weighing sensors are installed on a truck scale. Each weighing sensor can collect weighing data independently. When calculating the load, the weighing data collected by all the weighing sensors on the truck scale are fused together, and the fused weighing data is used to calculate the load.

[0004] However, in actual use, the weighing sensors on the truck scale may be damaged, which will lead to inaccurate load calculations based on the weighing data. Furthermore, the relevant technologies cannot achieve automatic monitoring of the truck scale's status, which results in poor reliability of the truck scale. Summary of the Invention

[0005] To help solve the problem of poor reliability of truck scales, this application provides a condition monitoring system, condition monitoring method and storage medium for truck scales.

[0006] Firstly, this application provides a condition monitoring system for a truck scale, employing the following technical solution:

[0007] A condition monitoring system for a truck scale, the system comprising: a truck scale and a host computer;

[0008] The truck scale includes at least one weighing module, which includes a first weighing module and a second weighing module. The first weighing module and the second weighing module are used to collect weighing data and transmit the weighing data to the host computer.

[0009] The host computer is used for:

[0010] Obtain the first target weighing data corresponding to the first target weighing module on the target weighing module and the second target weighing data corresponding to the second target weighing module on the target weighing module;

[0011] Determine whether the target first weighing data and the target second weighing data satisfy a preset first correspondence relationship;

[0012] If it is determined that the target first weighing data and the target second weighing data do not satisfy the preset first correspondence relationship, the target weighing module is determined to be in an abnormal state.

[0013] By adopting the above technical solution, since the weighing module on the truck scale includes a first weighing module and a second weighing module, the host computer can determine that the target weighing module is in an abnormal state when the target first weighing data corresponding to the target first weighing module and the target second weighing data corresponding to the target second weighing module do not satisfy the first correspondence relationship. In this way, the status of the first weighing module can be monitored based on the first and second original data, thereby realizing automatic monitoring of the truck scale status and helping to improve the reliability of the truck scale.

[0014] Optionally, the first weighing module includes a first weighing sensor and a second weighing sensor, and after determining that the target weighing module is in an abnormal state, it further includes:

[0015] Obtain the first raw data of the target corresponding to the first weighing sensor on the first weighing module of the target and the second raw data of the target corresponding to the second weighing sensor on the first weighing module of the target;

[0016] Determine whether the target first original data and the target second original data satisfy a preset second correspondence relationship;

[0017] If it is determined that the target first original data and the target second original data do not satisfy the preset second correspondence relationship, the target first weighing module is determined to be in an abnormal state.

[0018] In the above technical solution, since the first weighing module includes a first weighing sensor and a second weighing sensor, when the target first raw data and the target second raw data do not meet the preset second correspondence, the host computer determines that the target first weighing module is in an abnormal state. In this way, the state of the weighing module can be determined based on the raw data corresponding to the weighing sensor, thereby realizing automatic monitoring of the state of the truck scale and helping to improve the reliability of the truck scale.

[0019] Optionally, the truck scale includes at least two weighing modules, each of which is arranged along a first direction of the truck scale, the first direction being perpendicular to the vehicle entry direction of the truck scale.

[0020] After determining that the target first weighing module is in an abnormal state, the method further includes:

[0021] Determine the reference weighing module corresponding to the target weighing module;

[0022] The first weighing module on the reference weighing module is determined as the reference first weighing module;

[0023] Based on the reference first weighing data corresponding to the reference first weighing module, the corrected first weighing data corresponding to the target first weighing module is determined.

[0024] In the above technical solution, since the truck scale includes at least two weighing modules arranged in a direction perpendicular to the vehicle entry direction, the host computer can determine the reference weighing module corresponding to the target weighing module, and based on the reference first weighing data corresponding to the first weighing module on the reference weighing module, determine the corrected first weighing data corresponding to the target first weighing module. In this way, if the target first weighing module is abnormal, the weighing data corresponding to the target first weighing module can be corrected to obtain the corrected first weighing data, thereby realizing the automatic repair of the weighing data of the truck scale. This enables the truck scale to self-heal, reduces the impact of the abnormality of the first weighing module on the weighing data of the truck scale, and improves the reliability of the truck scale.

[0025] Optionally, after determining that the target first weighing module is in an abnormal state, the method further includes:

[0026] Based on the first target raw data, the second target raw data, and the second target weighing data, the abnormal weighing sensor is determined from the first target weighing sensor and the second target weighing sensor.

[0027] In the above technical solution, after determining that the first target weighing module is abnormal, the abnormal weighing sensor is determined based on the first target original data, the second target original data, and the second target weighing data. This facilitates the handling of abnormalities in the truck scale and improves the efficiency of abnormality handling.

[0028] Optionally, the truck scale includes at least two weighing modules, each of which is arranged along a first direction of the truck scale, the first direction being perpendicular to the vehicle entry direction of the truck scale.

[0029] After identifying the abnormal weighing sensor, the process further includes:

[0030] Determine the reference weighing module corresponding to the target weighing module;

[0031] Determine the reference weighing sensor corresponding to the abnormal weighing sensor from among the weighing sensors on the reference weighing module;

[0032] Based on the reference raw data corresponding to the reference weighing sensor, the corrected raw data corresponding to the abnormal weighing sensor is determined.

[0033] Based on the corrected original data, corrected weighing data is generated for the weighing module where the abnormal weighing sensor is located.

[0034] In the above technical solution, since the truck scale includes at least two weighing modules arranged in a direction perpendicular to the vehicle entry direction, the host computer can determine the corrected original data corresponding to the abnormal weighing sensor based on the original data corresponding to the reference weighing sensor when an abnormal weighing sensor is identified, and generate the corrected weighing data corresponding to the abnormal weighing module based on the corrected original data. In this way, the weighing data of the truck scale can be automatically repaired, thereby realizing the self-healing of the truck scale, reducing the impact of abnormal weighing sensors on the weighing data of the truck scale, and improving the reliability of the truck scale.

[0035] Optionally, the truck scale includes at least two weighing modules, each weighing module being arranged along a first direction of the truck scale, and the weighing sensors on the weighing modules being arranged along a second direction of the truck scale. The first direction is perpendicular to the second direction, and the second direction is the same as the vehicle entry direction of the truck scale. The second weighing module includes at least two weighing sensors. The host computer is further used for:

[0036] For each weighing module on the truck scale, obtain the second weighing data corresponding to the second weighing module on the weighing module;

[0037] The reference vehicle speed corresponding to the weighing module is determined based on the second weighing data.

[0038] The presence of any abnormal weighing modules on the truck scale is determined based on the reference vehicle speed corresponding to each weighing module.

[0039] In the above technical solution, since the truck scale includes at least two weighing modules, each weighing module is set in a direction perpendicular to the vehicle entry direction of the truck scale, and the weighing sensors on the weighing modules are set in the vehicle entry direction of the truck scale, and the second weighing module includes at least two weighing sensors, the host computer can determine the reference vehicle speed corresponding to the weighing module based on the second weighing data corresponding to the second weighing module on the weighing module, and determine whether there is an abnormal weighing module on the truck scale based on the reference vehicle speed corresponding to each weighing module. In this way, the automatic monitoring of the truck scale status can be realized through the second weighing signal, which can help improve the reliability of the truck scale.

[0040] Optionally, the second weighing module includes a third weighing sensor and a fourth weighing sensor, the second weighing data includes third raw data collected by the third weighing sensor and fourth raw data collected by the fourth weighing sensor, and the step of determining the reference vehicle speed corresponding to the weighing module based on the second weighing data includes:

[0041] The third time when the target vehicle passes the location of the third weighing sensor is determined based on the changes in the third raw data.

[0042] The fourth time when the target vehicle passes the location of the fourth weighing sensor is determined based on the changes in the fourth raw data.

[0043] The reference vehicle speed corresponding to the weighing module is determined based on the interval between the third time and the fourth time and the distance between the third weighing sensor and the fourth weighing sensor.

[0044] In the above technical solution, since the second weighing module includes a third weighing sensor and a fourth weighing sensor, the host computer can determine the time when the target vehicle passes the position of the third sensor based on the third raw data collected by the third weighing sensor, determine the time when the target vehicle passes the position of the fourth sensor based on the fourth raw data collected by the fourth weighing sensor, and determine the reference vehicle speed corresponding to the weighing module based on the interval between the third and fourth times and the distance between the third and fourth sensors. In this way, the speed of the target vehicle can be calculated based on the third and fourth raw data.

[0045] Optionally, after determining whether there is an abnormal weighing module on the truck scale based on the reference vehicle speed corresponding to each of the weighing modules, the method further includes:

[0046] The speed measurement result is determined based on the reference vehicle speed of each weighing module on the truck scale, excluding the abnormal weighing module.

[0047] In the above technical solution, since the host computer determines the speed measurement result based on the reference vehicle speed of each weighing module on the truck scale, excluding the abnormal weighing module, the influence of the abnormal weighing module on the speed measurement result can be eliminated, the truck scale can be self-healed, and the reliability of the truck scale can be improved.

[0048] Secondly, this application provides a method for monitoring the condition of a truck scale, employing the following technical solution:

[0049] A method for monitoring the condition of a truck scale, used in the host computer of any of the truck scale condition monitoring systems provided in the first aspect, the method comprising:

[0050] Obtain the first target weighing data corresponding to the first target weighing module on the target weighing module and the second target weighing data corresponding to the second target weighing module on the target weighing module;

[0051] Determine whether the target first weighing data and the target second weighing data satisfy a preset first correspondence relationship;

[0052] If it is determined that the target first weighing data and the target second weighing data do not satisfy the preset first correspondence relationship, the target weighing module is determined to be abnormal.

[0053] Thirdly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0054] A computer-readable storage medium storing a computer program that, when executed in a computer, causes the computer to perform the weighbridge status monitoring method provided in the second aspect.

[0055] In summary, this application includes at least one of the following beneficial technical effects:

[0056] 1. It can help solve the problem of poor reliability of truck scales. Since the host computer can determine that the target weighing module is in an abnormal state when the target first weighing data corresponding to the target first weighing module and the target second weighing data corresponding to the target second weighing module do not meet the first correspondence relationship, the state of the weighing module can be determined based on the weighing data corresponding to the weighing module, thereby realizing automatic monitoring of the truck scale state and thus helping to improve the reliability of the truck scale.

[0057] 2. Since the truck scale includes at least two weighing modules arranged in a direction perpendicular to the vehicle entry direction, the host computer can determine the reference weighing module corresponding to the target weighing module. Based on the reference first weighing data corresponding to the first weighing module on the reference weighing module, and based on the reference first weighing data, the host computer can determine the corrected first weighing data corresponding to the target first weighing module. In this way, if the target first weighing module is abnormal, the weighing data corresponding to the target first weighing module can be corrected to obtain the corrected first weighing data, thereby realizing the automatic repair of the truck scale's weighing data. This enables the truck scale to self-heal, reduces the impact of the first weighing module's abnormality on the truck scale's weighing data, and improves the reliability of the truck scale. Attached Figure Description

[0058] Figure 1 This is a schematic diagram of the structure of the status monitoring system provided in the embodiments of this application;

[0059] Figure 2 This is the first structural schematic diagram of the weighing module of the truck scale in the condition monitoring system provided in this application embodiment;

[0060] Figure 3 This is the first structural schematic diagram of the truck scale in the condition monitoring system provided in this application embodiment;

[0061] Figure 4This is a second structural schematic diagram of a truck scale in the condition monitoring system provided in this application embodiment;

[0062] Figure 5 This is a second structural schematic diagram of the weighing module of the truck scale in the condition monitoring system provided in this application embodiment;

[0063] Figure 6 This is a flowchart illustrating the dynamic weighing method provided in the embodiments of this application.

[0064] Explanation of reference numerals in the attached drawings: 100, truck scale; 110, weighing module; 111, first weighing module; 111a, first weighing sensor; 111b, second weighing sensor; 112, second weighing module; 112a, third weighing sensor; 112b, fourth weighing sensor; 200, host computer. Detailed Implementation

[0065] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1 to 6 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0066] This application discloses a condition monitoring system for a truck scale. (Reference) Figure 1 The condition monitoring system includes a truck scale 100 and a host computer 200.

[0067] The truck scale 100 is used to collect weighing data. The truck scale includes at least one weighing module 110, which includes a first weighing module 111 and a second weighing module 112. The first weighing module 111 and the second weighing module 112 are used to collect weighing data and transmit the weighing data to the host computer 200.

[0068] The first weighing module 111 and the second weighing module 112 include at least one weighing sensor.

[0069] In this embodiment, the weighing modules 110 on the truck scale 100 have the same structure.

[0070] Optionally, the first weighing module 111 and the second weighing module 112 include the same number of weighing sensors, for example, two for each. This facilitates mutual verification between the first weighing data collected by the first weighing module 111 and the second weighing data collected by the second weighing module 112.

[0071] In one example, the weighing sensor is a strain gauge load cell.

[0072] In one example, the strain gauge load cell has a range of 10 tons, an accuracy class of C3, two strain gauges, and an operating temperature range of -20°C to 60°C; it has a bridge-type structure.

[0073] In actual implementation, the weighing sensor can also be implemented in other ways, as long as it can collect weighing data. This embodiment does not limit the type of weighing sensor.

[0074] Optionally, the first weighing module 111 and the second weighing module 112 independently weigh vehicles passing through the truck scale 100. Specifically, during the calibration of the truck scale 100, the sensors in the first weighing module 111 and the second weighing module 112 are calibrated respectively, so that the first weighing module 111 and the second weighing module 112 can weigh vehicles independently.

[0075] In one example, the load cells on the weighing module 110 are positioned along the vehicle-entry direction of the truck scale. This allows for redundant measurement of the vehicle's weight based on the load cells on the weighing module.

[0076] In the above technical solution, since the first weighing module and the second weighing module independently weigh the vehicles passing through the truck scale, it is convenient to verify the first weighing data collected by the first weighing module and the second weighing data collected by the second weighing module, thereby facilitating the monitoring of the truck scale's status based on the first weighing data and the second weighing data.

[0077] The host computer 200 is a device with computing and communication functions. Specifically, the host computer 200 can be a server, industrial control computer, microcontroller (MCU), etc. This embodiment does not limit the implementation method of the host computer 200.

[0078] In this embodiment, the truck scale 100 is connected to the host computer 200 by a signal, and the truck scale 100 is also used to transmit the collected weighing data to the host computer 200.

[0079] Correspondingly, the host computer 200 is used to monitor the status of the truck scale 100 based on the weighing data transmitted by the truck scale 100. Specifically, the host computer 200 is used to: acquire the target first weighing data corresponding to the target first weighing module 111 on the target weighing module 110 and the target second weighing data corresponding to the target second weighing module 112 on the target weighing module 110; and determine whether the target first weighing data and the target second weighing data satisfy a preset first correspondence relationship.

[0080] If it is determined that the target first weighing data and the target second weighing data do not meet the preset first correspondence relationship, the target weighing module 110 is determined to be in an abnormal state.

[0081] If the target first weighing data and the target second weighing data are determined to satisfy the preset first correspondence, the target weighing module 110 is determined to be in normal status.

[0082] The first correspondence is preset. Specifically, the first correspondence is determined based on the setting position and calibration method of the first weighing module 111 and the second weighing module 112.

[0083] In one example, the first weighing data is obtained by fusing the raw data collected by each weighing sensor in the first weighing module 111, and the second weighing data is obtained by fusing the raw data collected by each weighing sensor in the second weighing module 112. Specifically, the method for fusing the raw data collected by the weighing sensors is preset based on the setting position and calibration method of the weighing sensors.

[0084] Optionally, the target weighing module 110 can be one or more weighing modules 110 on the truck scale 100. In one example, all weighing modules 110 on the truck scale 100 can be target weighing modules 110.

[0085] In one example, the first correspondence includes: the difference between the first weighing data and the second weighing data is less than or equal to a preset first difference threshold.

[0086] The preset first difference threshold is based on the accuracy setting of the weighing sensor.

[0087] In actual implementation, the first correspondence can also be set based on other methods. This embodiment does not limit the method of determining the first correspondence.

[0088] Optionally, the host computer 200 is also used to output an abnormality prompt message when it is determined that the target weighing module 110 is in an abnormal state, so as to prompt the staff to handle the target weighing module 110.

[0089] In one example, the host computer 200 is integrated with the truck scale 100. For instance, the host computer 200 is an embedded controller inside the truck scale, which facilitates the deployment of the status monitoring system.

[0090] The implementation principle of the state monitoring system for a truck scale provided in this application embodiment is as follows: The state monitoring system includes a truck scale and a host computer; the truck scale includes at least one weighing module, the weighing module includes a first weighing module and a second weighing module, the first weighing module and the second weighing module are used to collect weighing data and transmit the weighing data to the host computer; the host computer is used to: obtain the target first weighing data corresponding to the target first weighing module on the target weighing module and the target second weighing data corresponding to the target second weighing module on the target weighing module; determine whether the target first weighing data and the target second weighing data satisfy a preset first correspondence relationship; if it is determined that the target first weighing data and the target second weighing data do not satisfy the preset first correspondence relationship, determine that the state of the target weighing module is abnormal. This can help solve the problem of poor reliability of truck scales. Since the host computer can determine that the target weighing module is in an abnormal state when the target first weighing data corresponding to the target first weighing module and the target second weighing data corresponding to the target second weighing module do not meet the first correspondence relationship, the state of the weighing module can be determined based on the weighing data corresponding to the weighing module. This enables automatic monitoring of the truck scale's state and helps improve the reliability of the truck scale.

[0091] Based on the above technical solution, further reference... Figure 2 The first weighing module 111 includes a first weighing sensor 111a and a second weighing sensor 111b. After determining that the target weighing module 110 is in an abnormal state, the host computer 200 is further configured to: acquire the target first raw data corresponding to the target first weighing sensor 111a on the target first weighing module 111 and the target second raw data corresponding to the target second weighing sensor 111b on the target first weighing module 111; and determine whether the target first raw data and the target second raw data satisfy a preset second correspondence relationship.

[0092] If it is determined that the first target original data and the second target original data do not meet the preset second correspondence relationship, the first target weighing module 111 is determined to be in an abnormal state.

[0093] If the target first original data and the target second original data are determined to satisfy the preset second correspondence, the target first weighing module 111 is determined to be in normal status.

[0094] The first raw data is the data collected by the first weighing sensor 111a, and the second raw data is the data collected by the second weighing sensor 111b. In one example, the first raw data and the second raw data are represented by voltage.

[0095] A second pre-set correspondence is established. Specifically, the second correspondence is determined based on the setting position and calibration method of the first weighing sensor 111a and the second weighing sensor 111b.

[0096] In one example, the second correspondence includes: the difference between the maximum value of the first original data corresponding to the target vehicle and the maximum value of the second original data corresponding to the target vehicle is less than or equal to a preset second difference threshold.

[0097] The preset second difference threshold is determined based on the accuracy of the weighing sensor.

[0098] In actual implementation, the second correspondence can also be set based on other methods. This embodiment does not limit the way the second correspondence is determined.

[0099] Since the relative positional relationship between the first target weighing sensor and the second target weighing sensor on the target weighing module is determined, when both the first target weighing sensor and the second target weighing sensor are normal, the first target raw data and the second target raw data satisfy a certain relationship, namely, the second correspondence relationship mentioned above. Therefore, when the first target raw data and the second target raw data do not satisfy the second correspondence relationship, it indicates that at least one of the first weighing sensor and the second weighing sensor is abnormal. In this way, the status of the first weighing module can be monitored based on the first raw data and the second raw data.

[0100] Optionally, the host computer 200 is also used to, when determining that the target first weighing module 111 is in an abnormal state, output processing assistance information containing the identifier of the first weighing module 111, to prompt the staff to handle the abnormality of the first weighing module 111. In this way, the staff can accurately locate the abnormal module, thereby shortening the time for abnormality handling.

[0101] In the above technical solution, since the first raw data of the target first weighing module collected by the first weighing sensor on the target first weighing module and the second raw data of the target second weighing sensor collected by the target second weighing sensor can be matched with the second correspondence, it can be determined whether the first weighing module is abnormal. Thus, it can be determined whether the first weighing module is abnormal based on the weighing data collected by the first weighing module. In this way, the status of the first weighing module can be automatically monitored, which can facilitate the maintenance of the truck scale.

[0102] In actual implementation, the second weighing module can be determined to be abnormal in the same way, or the second weighing module can be directly determined to be abnormal if the weighing module is determined to be abnormal and the first weighing module is normal. This embodiment does not limit the method of determining whether the second weighing module is abnormal.

[0103] refer to Figure 3 In one example, the truck scale 100 includes at least two weighing modules 110, each weighing module 110 being arranged along a first direction of the truck scale 100, the first direction being perpendicular to the vehicle entry direction of the truck scale 100.

[0104] Correspondingly, after determining that the target first weighing module 111 is in an abnormal state, the host computer 200 further includes: determining the reference weighing module 110 corresponding to the target weighing module 110; determining the first weighing module 111 on the reference weighing module 110 as the reference first weighing module 111; and determining the corrected first weighing data corresponding to the target first weighing module 111 based on the reference first weighing data corresponding to the reference first weighing module 111.

[0105] Optionally, the reference weighing module 110 corresponding to the target weighing module 110 can be preset, or it can be randomly selected from other weighing modules 110 in the truck scale 100 besides the target weighing module 110. This embodiment does not limit the type of the reference weighing module 110.

[0106] Optionally, determining the corrected first weighing data corresponding to the target first weighing module 111 based on the reference first weighing data corresponding to the reference first weighing module 111 includes: converting the reference first weighing data according to a preset first conversion relationship to obtain the corrected first weighing data.

[0107] The preset first conversion relationship is predetermined, and the preset first conversion relationship between different weighing modules 110 may be the same or different.

[0108] In one instance, the preset first conversion relationship includes a preset first conversion coefficient. The reference first weighing data is converted according to the preset first conversion relationship to obtain the corrected first weighing data, including: determining the product of the reference first weighing data and the preset first conversion coefficient as the corrected first weighing data.

[0109] In one instance, during the commissioning of the truck scale 100, a test vehicle drives over the truck scale 100. At this time, based on the relationship between the weighing data corresponding to the first weighing module 111 on each weighing module 110 on the truck scale 100, a preset first conversion relationship between each weighing module 110 is determined.

[0110] In actual implementation, the preset first conversion relationship between the various weighing modules 110 on the truck scale 100 can also be determined based on the weighing data collected during the use of the truck scale 100. This embodiment does not limit the method of determining the preset first conversion relationship.

[0111] Optionally, when the host computer 200 determines that the target first weighing module 111 is abnormal, it will also record the weighing data corresponding to the target first weighing module 111, which can facilitate the maintenance of the target first weighing module 111 in the future.

[0112] In the above technical solution, since the truck scale includes at least two weighing modules arranged in a direction perpendicular to the vehicle entry direction, the host computer can determine the reference weighing module corresponding to the target weighing module, and based on the reference first weighing data corresponding to the first weighing module on the reference weighing module, determine the corrected first weighing data corresponding to the target first weighing module. In this way, if the target first weighing module is abnormal, the weighing data corresponding to the target first weighing module can be corrected to obtain the corrected first weighing data, thereby realizing the automatic repair of the weighing data of the truck scale. This enables the truck scale to self-heal, reduces the impact of the abnormality of the first weighing module on the weighing data of the truck scale, and improves the reliability of the truck scale.

[0113] In another example, after determining that the target first weighing module 111 is in an abnormal state, the host computer 200 is also used to: determine the abnormal weighing sensor from the target first weighing sensor 111a and the target second weighing sensor 111b based on the target first raw data, the target second raw data and the target second weighing data.

[0114] Among them, the abnormal weighing sensor is the target first weighing sensor 111a and / or the target second weighing sensor 111b.

[0115] Since there is a corresponding relationship between the first weighing data and the second weighing data when both the first weighing module and the second weighing module are normal, and the first weighing data is obtained by fusing the first original data and the second original data, if the first weighing data is abnormal, the abnormal weighing sensor can be further identified from the first weighing sensor and the second weighing sensor based on the first original data, the second original data and the target second weighing data. This can further facilitate the maintenance of the truck scale.

[0116] Optionally, determining abnormal weighing sensors from the target first weighing sensor 111a and the target second weighing sensor 111b based on the target first original data, the target second original data, and the target second weighing data includes: determining expected first weighing data based on the target second weighing data and a preset first correspondence; determining expected first original data and expected second original data based on the expected first weighing data; determining abnormal original data based on the matching relationship between the expected first weighing data and the target first weighing data, and the matching relationship between the expected second weighing data and the target second weighing data; and determining the weighing sensor corresponding to the abnormal original data as an abnormal weighing sensor.

[0117] In one instance, the first weighing data is obtained by superimposing the first original data and the second original data. In this case, determining the expected first original data and the second original data based on the expected first weighing data includes: taking half of the expected first weighing data as the expected first original data and the expected second original data.

[0118] Correspondingly, if the difference between the target first original data and the expected first original data is less than the preset third difference threshold, the target first original data and the expected first original data match, and the target first original data is determined to be normal; if the difference between the target first original data and the expected first original data is greater than or equal to the preset third difference threshold, the target first original data and the expected first original data do not match, and the target first original data is determined to be abnormal.

[0119] The method for determining the matching relationship between the target second original data and the expected second original data is the same as the method for determining the matching relationship between the target first original data and the expected first original data described above, and will not be repeated in this embodiment.

[0120] Optionally, the host computer 200 is also used to output processing assistance information containing the identifier of the abnormal load cell when an abnormal load cell is identified, so as to prompt the staff to handle the abnormality of the load cell. In this way, the staff can accurately locate the abnormal load cell, thereby shortening the time for handling the abnormality.

[0121] It should be noted that in the above embodiments, the abnormal weighing module is the first weighing module 111 as an example. The implementation method when the abnormal weighing module is the second weighing module 112 is the same as the implementation method when the abnormal weighing module is the first weighing module 111. This embodiment will not repeat it here.

[0122] refer to Figure 3 Furthermore, the truck scale 100 includes at least two weighing modules 110, each weighing module 110 being arranged along a first direction of the truck scale 100, the first direction being perpendicular to the vehicle entry direction of the truck scale 100.

[0123] Accordingly, after identifying the abnormal weighing sensor, the host computer 200 is also used to: determine the reference weighing module 110 corresponding to the target weighing module 110, determine the reference weighing sensor corresponding to the abnormal weighing sensor from the various weighing sensors on the reference weighing module 110; determine the corrected original data corresponding to the abnormal weighing sensor based on the reference original data corresponding to the reference weighing sensor; and generate corrected weighing data corresponding to the weighing module where the abnormal weighing sensor is located based on the corrected original data.

[0124] The method for determining the reference weighing module 110 corresponding to the target weighing module 110 is the same as in the above embodiment, and will not be repeated here.

[0125] Optionally, determining the reference weighing sensor corresponding to the abnormal weighing sensor from among the various weighing sensors on the reference weighing module 110 includes: determining the weighing sensor at the position corresponding to the abnormal weighing sensor on the reference weighing module 110 as the reference weighing sensor.

[0126] For example, if the abnormal weighing sensor is the target first weighing sensor, then the first weighing sensor on the reference weighing module will be determined as the reference weighing sensor.

[0127] Optionally, determining the corrected original data corresponding to the abnormal weighing sensor based on the reference original data corresponding to the reference weighing sensor includes: converting the reference original data according to a preset second conversion relationship to obtain the corrected original data corresponding to the abnormal weighing sensor.

[0128] The preset second conversion relationship is pre-set, and the preset second conversion relationship between different weighing sensors may be the same or different.

[0129] The method of converting the reference data according to the preset second conversion relationship is the same as the method of converting the reference first weighing data according to the preset first conversion relationship, and will not be described again in this embodiment.

[0130] In this embodiment, the corrected weighing data corresponding to the weighing module where the abnormal weighing sensor is located is generated based on the corrected original data. This is the same as the above method of generating weighing data based on the original data collected by the weighing sensor, and will not be repeated here.

[0131] For example: the abnormal weighing sensor includes the first weighing sensor 111a. At this time, the corrected weighing data corresponding to the weighing module where the abnormal weighing sensor is located is generated based on the corrected original data, including: fusing the corrected original data with the target second weighing data to obtain the corrected weighing data corresponding to the target first weighing module 111.

[0132] In the above technical solution, since the truck scale includes at least two weighing modules arranged in a direction perpendicular to the vehicle entry direction, the host computer can determine the reference weighing module corresponding to the target weighing module, determine the reference weighing sensor from the reference weighing module, determine the corrected original data corresponding to the abnormal weighing sensor based on the original data corresponding to the reference weighing sensor, and generate corrected weighing data corresponding to the abnormal weighing module based on the corrected original data. In this way, when the abnormal weighing sensor is determined, the corrected original data corresponding to the abnormal weighing sensor can be determined based on the original data corresponding to the reference weighing sensor, and the corrected weighing data corresponding to the abnormal weighing module can be generated based on the corrected original data. This can realize the automatic repair of the weighing data of the truck scale, thereby achieving self-healing of the truck scale, reducing the impact of weighing sensor abnormalities on the weighing data of the truck scale, and improving the reliability of the truck scale.

[0133] In addition, since the raw data of abnormal weighing sensors can be corrected individually and the corrected raw data can be used to generate the corrected weighing data corresponding to the abnormal weighing module, the raw data collected by other normal weighing sensors in the abnormal weighing module can be fully utilized to generate weighing data, which can further improve the accuracy of the corrected weighing data.

[0134] In actual implementation, if the target weighing module is found to be abnormal, other methods can be used to correct the weighing data corresponding to the target weighing module. This embodiment does not limit the method of correcting the weighing data corresponding to the weighing module.

[0135] Based on the above technical solution, and referring to Figure 4 Optionally, the truck scale 100 includes at least two weighing modules 110, each weighing module 110 is arranged along a first direction of the truck scale 100, and the weighing sensors on the weighing modules 110 are arranged along a second direction of the truck scale 100. The first direction is perpendicular to the second direction, and the second direction is the same as the vehicle entry direction of the truck scale. The second weighing module 112 includes at least two weighing sensors.

[0136] Correspondingly, the host computer 200 is also used to: obtain the second weighing data corresponding to the second weighing module 112 on each weighing module 110 on the truck scale 100; determine the reference vehicle speed corresponding to the weighing module 110 based on the second weighing data; and determine whether there is an abnormal weighing module on the truck scale 100 based on the reference vehicle speed corresponding to each weighing module 110.

[0137] Since the weighing sensors on the weighing module are set along the vehicle entry direction of the truck scale 100, and the second weighing module 112 includes at least two weighing sensors, during the dynamic weighing process, the target vehicle will pass through each weighing sensor on the second weighing module 112 in sequence. Thus, the speed of the target vehicle can be determined based on the second weighing data corresponding to the weighing module.

[0138] In one example, determining whether there is an abnormal weighing module on the truck scale 100 based on the reference vehicle speed corresponding to each weighing module 110 includes: determining the average value of the reference vehicle speed corresponding to each weighing module 110 as the average vehicle speed; and determining the weighing module 110 whose difference between the reference vehicle speed and the average vehicle speed is greater than a preset vehicle speed difference threshold as an abnormal weighing module.

[0139] In actual implementation, abnormal weighing modules can also be determined based on other methods. For example, weighing modules whose reference speed is greater than the reference speed of other weighing modules are determined as abnormal weighing modules. This embodiment does not limit the method of determining abnormal weighing modules.

[0140] In the above technical solution, since the truck scale includes at least two weighing modules, each weighing module is set in a direction perpendicular to the vehicle entry direction of the truck scale, and the weighing sensors on the weighing modules are set in the vehicle entry direction of the truck scale, and the second weighing module includes at least two weighing sensors, the host computer can determine the reference vehicle speed corresponding to the weighing module based on the second weighing data corresponding to the second weighing module on the weighing module, and determine whether there is an abnormal weighing module on the truck scale based on the reference vehicle speed corresponding to each weighing module. In this way, the automatic monitoring of the truck scale status can be realized through the second weighing signal, which can help improve the reliability of the truck scale.

[0141] refer to Figure 5 Optionally, the second weighing module 112 includes a third weighing sensor 112a and a fourth weighing sensor 112b, and the second weighing data includes the third raw data collected by the third weighing sensor 112a and the fourth raw data collected by the fourth weighing sensor 112b.

[0142] Accordingly, the host computer 200 determines the reference vehicle speed corresponding to the weighing module 110 based on the second weighing data, including: determining the third time when the target vehicle passes the position of the third weighing sensor 112a based on the changes in the third raw data; determining the fourth time when the target vehicle passes the position of the fourth weighing sensor 112b based on the changes in the fourth raw data; and determining the reference vehicle speed corresponding to the weighing module 110 based on the interval between the third and fourth times and the distance between the third weighing sensor 112a and the fourth weighing sensor 112b.

[0143] The interval between the third weighing sensor 112a and the fourth weighing sensor 112b is preset.

[0144] As the target vehicle passes through the weighbridge, it first approaches the weighing sensor and then moves away from it. As a result, the original data corresponding to the weighing sensor will first increase and then decrease. The time corresponding to the peak of the original data is the time it takes for the vehicle to pass through the weighing sensor. Thus, the time it takes for the target vehicle to pass through the weighing sensor can be determined based on the changes in the original data.

[0145] In actual implementation, the reference vehicle speed can also be calculated based on other methods. This embodiment does not limit the calculation method of the reference vehicle speed.

[0146] Optionally, the reference vehicle speed corresponding to the weighing module is determined based on the interval between the third time and the fourth time and the interval distance between the third weighing sensor 112a and the fourth weighing sensor 112b, including: determining the ratio of the interval distance to the interval duration as the reference vehicle speed.

[0147] In one example, the weighing module 110 is elongated, with the third weighing sensor 112a and the fourth weighing sensor 112b located near both ends of the weighing module. This helps to appropriately increase the interval time, thereby improving the accuracy of the determined reference vehicle speed.

[0148] In the above technical solution, since the second weighing module includes a third weighing sensor and a fourth weighing sensor, the host computer can determine the time when the target vehicle passes the position of the third sensor based on the third raw data collected by the third weighing sensor, determine the time when the target vehicle passes the position of the fourth sensor based on the fourth raw data collected by the fourth weighing sensor, and determine the reference vehicle speed corresponding to the weighing module based on the interval between the third and fourth times and the distance between the third and fourth sensors. In this way, the speed of the target vehicle can be calculated based on the third and fourth raw data.

[0149] Optionally, after the host computer 200 determines whether there is an abnormal weighing module in the truck scale 100 based on the reference vehicle speed corresponding to each weighing module 110, it also includes: determining the speed measurement result based on the reference vehicle speed corresponding to the other weighing modules 110 on the truck scale 100, excluding the abnormal weighing module 110.

[0150] In one example, the speed measurement result is determined based on the reference vehicle speeds of the various weighing modules 110 on the truck scale 100, excluding the abnormal weighing module 110. This includes determining the average value of the reference vehicle speeds of the other weighing modules 110 as the speed measurement result.

[0151] In actual implementation, the speed measurement result can also be determined based on other methods. This embodiment does not limit the method of determining the speed measurement result.

[0152] In the above technical solution, since the host computer determines the speed measurement result based on the reference vehicle speed of each weighing module on the truck scale, excluding the abnormal weighing module, the influence of the abnormal weighing module on the speed measurement result can be eliminated, the truck scale can be self-healed, and the reliability of the truck scale can be improved.

[0153] This application also provides a method for monitoring the condition of a truck scale, used in the host computer of the aforementioned condition monitoring system, for reference. Figure 6 The condition monitoring method includes the following steps:

[0154] Step 601: Obtain the first target weighing data corresponding to the first target weighing module on the target weighing module and the second target weighing data corresponding to the second target weighing module on the target weighing module.

[0155] Step 602: Determine whether the target first weighing data and the target second weighing data satisfy the preset first correspondence relationship.

[0156] Step 603: If it is determined that the target first weighing data and the target second weighing data do not meet the preset first correspondence relationship, the target weighing module is determined to be in an abnormal state.

[0157] For details, please refer to the embodiment of the condition monitoring system section of the above-mentioned truck scale.

[0158] It should be further noted that the above dynamic weighing method is used in the host computer of the above-mentioned state monitoring system, and belongs to the same inventive concept as the above-mentioned state monitoring system. Therefore, it has all the beneficial technical effects of the state monitoring system provided in the above embodiments, and will not be repeated here.

[0159] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0160] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

[0161] The above embodiments are only used to provide a detailed description of the technical solutions of this application. However, the description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application, and should not be construed as a limitation of this application. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the protection scope of this application.

Claims

1. A condition monitoring system for a truck scale, characterized in that, The system includes: a truck scale (100) and a host computer (200). The truck scale (100) includes at least one weighing module (110), the weighing module (110) includes a first weighing module (111) and a second weighing module (112), the first weighing module (111) and the second weighing module (112) are used to collect weighing data and transmit the weighing data to the host computer (200); The host computer (200) is used for: Obtain the first target weighing data corresponding to the first target weighing module (111) on the target weighing module (110) and the second target weighing data corresponding to the second target weighing module (112) on the target weighing module (110); Determine whether the target first weighing data and the target second weighing data satisfy a preset first correspondence relationship; If it is determined that the target first weighing data and the target second weighing data do not satisfy the preset first correspondence relationship, it is determined that the target weighing module (110) is in an abnormal state; The first weighing module (111) includes a first weighing sensor (111a) and a second weighing sensor (111b). After determining that the target weighing module (110) is in an abnormal state, it further includes: Obtain the first target raw data corresponding to the first target weighing sensor (111a) on the first target weighing module (111) and the second target raw data corresponding to the second target weighing sensor (111b) on the first target weighing module (111); Determine whether the target first original data and the target second original data satisfy a preset second correspondence relationship; If it is determined that the first target original data and the second target original data do not satisfy the preset second correspondence relationship, it is determined that the first target weighing module (111) is in an abnormal state; Determine the expected first weighing data based on the target second weighing data and the preset first correspondence; determine the expected first raw data and expected second raw data based on the expected first weighing data; determine the abnormal raw data based on the matching relationship between the expected first raw data and the target first raw data and the matching relationship between the expected second raw data and the target second raw data; determine the weighing sensor corresponding to the abnormal raw data as the abnormal weighing sensor; The truck scale (100) includes at least two weighing modules (110), each of the weighing modules (110) being arranged along a first direction of the truck scale (100), the first direction being perpendicular to the vehicle entry direction of the truck scale (100). After identifying the abnormal weighing sensor, the process further includes: Determine the reference weighing module (110) corresponding to the target weighing module (110); The reference weighing sensor corresponding to the abnormal weighing sensor is determined from each weighing sensor on the reference weighing module (110); The reference raw data is converted according to a preset second conversion relationship to obtain the corrected raw data corresponding to the abnormal weighing sensor. The preset second conversion relationship is set in advance, and the preset second conversion relationship between different weighing sensors may be the same or different. Based on the corrected original data, corrected weighing data is generated for the weighing module where the abnormal weighing sensor is located.

2. The system according to claim 1, characterized in that, The truck scale (100) includes at least two weighing modules (110), each of the weighing modules (110) being arranged along a first direction of the truck scale (100), the first direction being perpendicular to the vehicle entry direction of the truck scale (100). After determining that the target first weighing module (111) is in an abnormal state, the method further includes: Determine the reference weighing module (110) corresponding to the target weighing module (110); The first weighing module (111) on the reference weighing module (110) is determined as the reference first weighing module (111). Based on the reference first weighing data corresponding to the reference first weighing module (111), the corrected first weighing data corresponding to the target first weighing module (111) is determined.

3. The system according to claim 1, characterized in that, The truck scale (100) includes at least two weighing modules (110), each weighing module (110) is arranged along a first direction of the truck scale (100), and the weighing sensors on the weighing modules (110) are arranged along a second direction of the truck scale (100). The first direction is perpendicular to the second direction, and the second direction is the same as the vehicle entry direction of the truck scale (100). The second weighing module (112) includes at least two weighing sensors. The host computer (200) is also used for: For each weighing module (110) on the truck scale (100), obtain the second weighing data corresponding to the second weighing module (112) on the weighing module (110); The reference vehicle speed corresponding to the weighing module (110) is determined based on the second weighing data; Based on the reference vehicle speed corresponding to each of the weighing modules (110), determine whether there is an abnormal weighing module (110) on the truck scale (100).

4. The system according to claim 3, characterized in that, The second weighing module (112) includes a third weighing sensor (112a) and a fourth weighing sensor (112b). The second weighing data includes third raw data collected by the third weighing sensor (112a) and fourth raw data collected by the fourth weighing sensor (112b). Determining the reference vehicle speed corresponding to the weighing module (110) based on the second weighing data includes: The third time when the target vehicle passes the location of the third weighing sensor (112a) is determined based on the changes in the third raw data. The fourth time when the target vehicle passes the location of the fourth weighing sensor (112b) is determined based on the changes in the fourth raw data. The reference vehicle speed corresponding to the weighing module (110) is determined based on the interval between the third time and the fourth time and the distance between the third weighing sensor (112a) and the fourth weighing sensor (112b).

5. The system according to claim 3, characterized in that, After determining whether there is an abnormal weighing module (110) on the truck scale (100) based on the reference vehicle speed corresponding to each of the weighing modules (110), the method further includes: The speed measurement result is determined based on the reference vehicle speed of each of the weighing modules (110) on the truck scale (100), excluding the abnormal weighing module (110).

6. A method for monitoring the condition of a truck scale, characterized in that, In the host computer of the condition monitoring system for a truck scale according to any one of claims 1 to 5, the method includes: Obtain the first target weighing data corresponding to the first target weighing module on the target weighing module and the second target weighing data corresponding to the second target weighing module on the target weighing module; Determine whether the target first weighing data and the target second weighing data satisfy a preset first correspondence relationship; If it is determined that the target first weighing data and the target second weighing data do not satisfy the preset first correspondence relationship, the target weighing module is determined to be abnormal.

7. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed in the computer, the computer is instructed to perform the weighbridge status monitoring method of claim 6.

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