CN116295769A

CN116295769A - State monitoring system, state monitoring method and storage medium of truck scale

Info

Publication number: CN116295769A
Application number: CN202310405544.5A
Authority: CN
Inventors: 梁伟; 廖华忠; 王林; 纪智诚; 廖善胜; 赖松根; 管峰
Original assignee: Xiamen Ridley Calibration Testing Technology Co ltd; Xiamen Kunhengxuan Technology Industry Co ltd; Fuzhou University
Current assignee: Xiamen Ridley Calibration Testing Technology Co ltd; Xiamen Kunhengxuan Technology Industry Co ltd; Fuzhou University
Priority date: 2023-04-17
Filing date: 2023-04-17
Publication date: 2023-06-23

Abstract

The application relates to the technical field of intelligent transportation, and provides a state monitoring system, a state monitoring method and a storage medium of an automobile scale. The condition monitoring system includes: the automobile scale and the upper computer; the weighing module on the truck scale comprises a first weighing module and a second weighing module, and the upper computer is used for: acquiring target first weighing data corresponding to a target first weighing module and target second weighing data corresponding to a second weighing module on a target weighing module; and determining that the state of the target weighing module is abnormal under the condition that the first target weighing data and the second target weighing data do not meet the preset first corresponding relation. The problem of poor reliability of the truck scale can be solved, and the upper computer can determine that the state of the target weighing module is abnormal under the condition that the first weighing data of the target and the second weighing data of the target do not meet the first corresponding relation, so that the automatic monitoring of the state of the truck scale can be realized, and the reliability of the truck scale can be improved.

Description

State monitoring system, state monitoring method and storage medium of truck scale

Technical Field

The application relates to the technical field of intelligent transportation, in particular to a state monitoring system, a state monitoring method and a storage medium of an automobile scale.

Background

The automobile scale is a device for weighing by utilizing the strain electrical measurement principle. In general, a plurality of weighing sensors are arranged on an automobile scale, and when the weighing sensors bear load, weighing data collected by the weighing sensors can change in proportion to the load, so that the load can be determined based on the weighing data.

In the related art, a plurality of weighing sensors are arranged on an automobile scale, each weighing sensor can independently acquire weighing data, when load is calculated, the weighing data acquired by all the weighing sensors on the automobile scale are fused, and the fused weighing data are used for calculating the load.

However, in the actual use process, the weighing sensor on the truck scale may be damaged, so that the load obtained by calculation based on the weighing data is inaccurate, and the automatic monitoring of the truck scale state cannot be realized in the related art, which causes the problem of poor reliability of the truck scale.

Disclosure of Invention

In order to help solve the problem of poor reliability of the truck scale, the application provides a state monitoring system, a state monitoring method and a storage medium of the truck scale.

In a first aspect, the present application provides a state monitoring system for an automobile scale, which adopts the following technical scheme:

A condition monitoring system for an automobile scale, the system comprising: the automobile scale and the upper computer;

the truck scale comprises at least one weighing module, wherein the weighing module comprises a first weighing module and a second weighing module, and the first weighing module and the second weighing module are used for acquiring weighing data and transmitting the weighing data to the upper computer;

the upper computer is used for:

acquiring target first weighing data corresponding to a target first weighing module on a target weighing module and target second weighing data corresponding to a target second weighing module on the target weighing module;

determining whether the target first weighing data and the target second weighing data meet a preset first corresponding relation or not;

and determining that the state of the target weighing module is abnormal under the condition that the target first weighing data and the target second weighing data do not meet the preset first corresponding relation.

Through adopting above-mentioned technical scheme, because the weighing module on the truck scale includes first weighing module and second weighing module, the host computer can be under the condition that the first weighing data of target that the first weighing module of target on the target weighing module corresponds and the second weighing data of target that the second weighing module of target corresponds do not satisfy first correspondence, confirm that the target weighing module state is unusual, so can carry out the state monitoring to the first weighing module based on first original data and second original data, thereby can realize the automatic monitoring to the truck scale state, and then can help improving the reliability of truck scale.

Optionally, the first weighing module includes a first weighing sensor and a second weighing sensor, and after determining that the state of the target weighing module is abnormal, the method further includes:

acquiring first original data of a target corresponding to a first weighing sensor on the first weighing module of the target and second original data of a target corresponding to a second weighing sensor on the first weighing module of the target;

determining whether the target first original data and the target second original data meet a preset second corresponding relation or not;

and determining that the state of the target first weighing module is abnormal under the condition that the first original target data and the second original target data do not meet the preset second corresponding relation.

In the above technical scheme, because the first weighing module comprises the first weighing sensor and the second weighing sensor, the upper computer determines that the state of the first weighing module is abnormal under the condition that the first original data of the target and the second original data of the target do not meet the preset second corresponding relation, so that the state of the weighing module can be determined based on the original data corresponding to the weighing sensor, the automatic monitoring of the state of the truck scale can be realized, and further the reliability of the truck scale can be improved.

Optionally, the truck scale comprises at least two weighing modules, each weighing module is arranged along a first direction of the truck scale, and the first direction is perpendicular to a vehicle entrance direction of the truck scale;

after determining that the state of the target first weighing module is abnormal, the method further comprises the following steps:

determining a reference weighing module corresponding to the target weighing module;

determining a first weighing module on the reference weighing module as a reference first weighing module;

and determining corrected first weighing data corresponding to the target first weighing module based on the reference first weighing data corresponding to the reference first weighing module.

According to the technical scheme, the automobile scale comprises at least two weighing modules which are arranged along the direction perpendicular to the driving-in direction of the automobile scale, the upper computer can determine the reference weighing module corresponding to the target weighing module, determine the corrected first weighing data corresponding to the target first weighing module based on the reference first weighing data corresponding to the first weighing module on the reference weighing module, and determine the corrected first weighing data corresponding to the target first weighing module based on the reference first weighing data, so that the weighing data corresponding to the target first weighing module can be corrected under the condition that the target first weighing module is abnormal, the corrected first weighing data can be obtained, automatic restoration of the weighing data of the automobile scale can be realized, self-healing of the automobile scale can be realized, the influence on the weighing data of the automobile scale caused by the abnormality of the first weighing module is reduced, and the reliability of the automobile scale is improved.

Optionally, after determining that the state of the target first weighing module is abnormal, the method further includes:

and determining an abnormal weighing sensor from the target first weighing sensor and the target second weighing sensor based on the target first raw data, the target second raw data and the target second weighing data.

According to the technical scheme, after the state abnormality of the first weighing module is determined, the abnormal weighing sensor is determined based on the first original data of the target, the second original data of the target and the second weighing data of the target, so that the abnormality of the truck scale can be conveniently processed, and the abnormality processing efficiency can be improved.

after determining the abnormal weighing sensor, the method further comprises the following steps:

determining a reference weighing sensor corresponding to the abnormal weighing sensor from all weighing sensors on the reference weighing module;

Determining corrected raw data corresponding to the abnormal weighing sensor based on the reference raw data corresponding to the reference weighing sensor;

and generating corrected weighing data corresponding to the weighing module where the abnormal weighing sensor is located based on the corrected original data.

According to the technical scheme, the automobile scale comprises at least two weighing modules which are arranged along the direction perpendicular to the driving-in direction of the automobile scale, the upper computer can determine the corrected original data corresponding to the abnormal weighing sensor based on the original data corresponding to the reference weighing sensor under the condition that the abnormal weighing sensor is determined, and generate the corrected weighing data corresponding to the abnormal weighing module based on the corrected original data, so that the automatic restoration of the weighing data of the automobile scale can be realized, the self-healing of the automobile scale is realized, the influence of the abnormality of the weighing sensor on the weighing data of the automobile scale is reduced, and the reliability of the automobile scale is improved.

Optionally, the truck scale includes at least two weighing modules, each weighing module is disposed along a first direction of the truck scale, the weighing sensor on the weighing module is disposed along a second direction of the truck scale, the first direction is perpendicular to the second direction, the second direction is the same as a vehicle entrance direction of the truck scale, and the second weighing module includes at least two weighing sensors; the upper computer is also used for:

For each weighing module on the truck scale, second weighing data corresponding to a second weighing module on the weighing module are obtained;

determining a reference vehicle speed corresponding to the weighing module based on the second weighing data;

and determining whether an abnormal weighing module exists on the truck scale or not based on the reference vehicle speed corresponding to each weighing module.

In the above technical scheme, because the truck scale comprises at least two weighing modules, each weighing module is arranged along the direction perpendicular to the vehicle entrance direction of the truck scale, the weighing sensors on the weighing modules are arranged along the vehicle entrance direction of the truck scale, and the second weighing module comprises at least two weighing sensors, the upper computer can determine the reference vehicle speed corresponding to the weighing modules based on the second weighing data corresponding to the second weighing modules on the weighing modules, and determine whether the abnormal weighing modules exist on the truck scale based on the reference vehicle speed corresponding to each weighing module, so that the automatic monitoring of the truck scale state can be realized through the second weighing signals, and further the reliability of the truck scale can be improved.

Optionally, the second weighing module includes a third weighing sensor and a fourth weighing sensor, the second weighing data includes third initial data collected by the third weighing sensor and fourth initial data collected by the fourth weighing sensor, the determining, based on the second weighing data, a reference vehicle speed corresponding to the weighing module includes:

Determining a third time when the target vehicle passes through the position of the third weighing sensor based on the change condition of the third initial data;

determining a fourth time when the target vehicle passes through the position of the fourth weighing sensor based on the change condition of the fourth original data;

and determining a reference vehicle speed corresponding to the weighing module based on the interval duration between the third time and the fourth time and the interval distance between the third weighing sensor and the fourth weighing sensor.

In the above technical scheme, because the second weighing module comprises the third weighing sensor and the fourth weighing sensor, the upper computer can determine the time when the target vehicle passes through the position of the third sensor based on the third initial data acquired by the third weighing sensor, determine the time when the target vehicle passes through the position of the fourth sensor based on the fourth initial data acquired by the fourth weighing sensor, determine the reference vehicle speed corresponding to the weighing module based on the interval duration of the third time and the fourth time and the interval distance between the third sensor and the fourth sensor, and thus calculate the vehicle speed of the target vehicle based on the third initial data and the fourth initial data.

Optionally, after determining whether the abnormal weighing module exists on the truck scale based on the reference vehicle speed corresponding to each weighing module, the method further includes:

and determining a speed measurement result based on the reference vehicle speeds corresponding to the weighing modules except the abnormal weighing module in the weighing modules on the truck scale.

According to the technical scheme, the upper computer determines the speed measurement result based on the reference vehicle speed corresponding to the weighing modules except the abnormal weighing module in the weighing modules on the truck scale, so that the influence of the abnormal weighing module on the speed measurement result can be eliminated, the self-healing of the truck scale is realized, and the reliability of the truck scale can be improved.

In a second aspect, the present application provides a method for monitoring a state of an automobile scale, which adopts the following technical scheme:

a method for monitoring the state of an automobile scale, which is used in an upper computer of any one of the state monitoring systems of the automobile scales provided in the first aspect, the method comprising:

and determining that the target weighing module is abnormal under the condition that the target first weighing data and the target second weighing data do not meet the preset first corresponding relation.

In a third aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:

a computer-readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the method for monitoring the state of a truck scale provided in the second aspect.

In summary, the present application includes at least one of the following beneficial technical effects:

1. the problem of poor reliability of the truck scale can be solved, and the upper computer can determine that the state of the target weighing module is abnormal under the condition that the first weighing data of the target corresponding to the first weighing module and the second weighing data of the target corresponding to the second weighing module on the target weighing module do not meet the first corresponding relation, so that 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 state of the truck scale and further being beneficial to improving the reliability of the truck scale.

2. Because the truck scale comprises at least two weighing modules which are arranged along the direction perpendicular to the vehicle entrance direction of the truck scale, the upper computer can determine the reference weighing module corresponding to the target weighing module, determine the corrected first weighing data corresponding to the target first weighing module based on the reference first weighing data corresponding to the first weighing module on the reference weighing module, and correct the weighing data corresponding to the target first weighing module under the condition that the target first weighing module is abnormal, so that the corrected first weighing data is obtained, the automatic repair of the weighing data of the truck scale is realized, the self-healing of the truck scale can be realized, the influence on the weighing data of the truck scale caused by the abnormality of the first weighing module is reduced, and the reliability of the truck scale is improved.

Drawings

FIG. 1 is a schematic diagram of a state monitoring system according to an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of a first structure of a weighing module of an automobile scale in a state monitoring system according to an embodiment of the present application;

fig. 3 is a schematic diagram of a first structure of an automobile scale in the state monitoring system according to the embodiment of the present application;

fig. 4 is a second schematic structural diagram of an automobile scale in the state monitoring system according to the embodiment of the present application;

FIG. 5 is a schematic diagram of a second configuration of a weighing module of an automobile scale in a condition monitoring system according to an embodiment of the present disclosure;

fig. 6 is a schematic flow chart of a dynamic weighing method according to an embodiment of the present application.

Reference numerals illustrate: 100. an automobile scale; 110. a weighing module; 111. the first weighing module; 111a, a first load cell; 111b, a second load cell; 112. the second weighing module; 112a, a third load cell; 112b, a fourth load cell; 200. and an upper computer.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to fig. 1 to 6 and the embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The embodiment of the application discloses a state monitoring system of an automobile scale. Referring to fig. 1, the condition monitoring system includes a truck scale 100 and an upper computer 200.

The truck scale 100 is used to collect weighing data. The truck scale comprises at least one weighing module 110, the weighing module 110 comprises a first weighing module 111 and a second weighing module 112, and the first weighing module 111 and the second weighing module 112 are used for collecting weighing data and transmitting the weighing data to the upper computer 200.

Wherein the first weighing module 111 and the second weighing module 112 comprise at least one load cell.

In this embodiment, each weighing module 110 on the truck scale 100 has the same structure.

Optionally, the number of load cells included in the first weighing module 111 and the second weighing module 112 is the same, for example: two are provided, so that the first weighing data collected by the first weighing module 111 and the second weighing data collected by the second weighing module 112 can be conveniently checked.

In one example, the load cell is a strain gauge load cell.

In one example, the strain gauge load sensor has a range of 10 tons, an accuracy rating of C3, 2 strain gauges, and an operating temperature of-20 ℃ to 60 ℃; the structure is a bridge type structure.

In practical implementation, the weighing sensor is also implemented in other ways, as long as weighing data can be collected, and the type of the asymmetric weighing sensor in this embodiment is limited.

Alternatively, the first weighing module 111 and the second weighing module 112 independently weigh the vehicle passing through the truck scale 100. Specifically, in the process of calibrating 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 the vehicle respectively.

In one example, the load cells on the load module 110 are positioned along the vehicle entrance direction of the truck scale. This allows redundant measurement of the weight of the vehicle based on the load cells on the load modules.

Among the above-mentioned technical scheme, because first weighing module and second weighing module independently weigh the vehicle through the truck scale, so can be convenient for carry out the check-up each other to the first weighing data that first weighing module gathered and the second weighing data that second weighing module gathered to can be convenient for monitor the state of truck scale based on first weighing data and second weighing data.

The upper computer 200 is a device having a calculation function and a communication function. Specifically, the upper computer 200 may be a server, an industrial personal computer, a microcontroller (Micro Controller Unit, MCU), etc., and the implementation of the upper computer 200 is not limited in this embodiment.

In this embodiment, the truck scale 100 is in signal connection with the upper computer 200, and the truck scale 100 is further configured to transmit the collected weighing data to the upper computer 200.

Correspondingly, the upper computer 200 is configured to monitor the state of the truck scale 100 based on the weighing data transmitted by the truck scale 100, and specifically, the upper computer 200 is configured to: acquiring target first weighing data corresponding to a target first weighing module 111 on a target weighing module 110 and target second weighing data corresponding to a target second weighing module 112 on the target weighing module 110; determining whether the target first weighing data and the target second weighing data meet a preset first corresponding relation or not;

Determining that the state of the target weighing module 110 is abnormal under the condition that the target first weighing data and the target second weighing data do not meet the preset first corresponding relation;

and under the condition that the target first weighing data and the target second weighing data meet the preset first corresponding relation, determining that the target weighing module 110 is normal.

The first corresponding relation is preset. Specifically, the first correspondence is determined based on the setting positions and the calibration manners of the first weighing module 111 and the second weighing module 112.

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

Optionally, the target weighing module 110 is one or more weighing modules 110 on the truck scale 100. In one example, all of the weighing modules 110 on the truck scale 100 are target weighing modules 110.

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

Wherein the preset first difference threshold is set based on the accuracy of the load cell.

In actual implementation, the first correspondence relationship may be set based on another method, and the method of determining the first correspondence relationship is not limited in this embodiment.

Optionally, the upper computer 200 is further configured to output an abnormality prompt message to prompt a worker to process the target weighing module 110 when it is determined that the state of the target weighing module 110 is abnormal.

In one example, the host computer 200 is integrally provided with the truck scale 100, such as: the upper computer 200 is a controller embedded in the truck scale, so that the deployment of the state monitoring system can be facilitated.

The implementation principle of the state monitoring system of the truck scale provided by the embodiment of the application is as follows: the condition monitoring system includes: the automobile scale and the upper computer; the automobile scale comprises at least one weighing module, wherein the weighing module comprises a first weighing module and a second weighing module, and the first weighing module and the second weighing module are used for acquiring weighing data and transmitting the weighing data to the upper computer; the upper computer is used for: acquiring target first weighing data corresponding to a target first weighing module on a target weighing module and target second weighing data corresponding to a target second weighing module on the target weighing module; determining whether the target first weighing data and the target second weighing data meet a preset first corresponding relation or not; and determining that the state of the target weighing module is abnormal under the condition that the first target weighing data and the second target weighing data do not meet the preset first corresponding relation. The problem of poor reliability of the truck scale can be solved, and the upper computer can determine that the state of the target weighing module is abnormal under the condition that the first weighing data of the target corresponding to the first weighing module and the second weighing data of the target corresponding to the second weighing module on the target weighing module do not meet the first corresponding relation, so that 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 state of the truck scale and further being beneficial to improving the reliability of the truck scale.

Based on the above technical solution, further, referring to fig. 2, the first weighing module 111 includes a first weighing sensor 111a and a second weighing sensor 111b, and after determining that the state of the target weighing module 110 is abnormal, the upper computer 200 is further configured to: acquiring first original data of a target corresponding to a first target weighing sensor 111a on the first target weighing module 111 and second original data of a target corresponding to a second target weighing sensor 111b on the first target weighing module 111; determining whether the target first original data and the target second original data meet a preset second corresponding relation or not;

under the condition that the first original data of the target and the second original data of the target do not meet the preset second corresponding relation, determining that the state of the first weighing module 111 of the target is abnormal;

and under the condition that the first original target data and the second original target data meet the preset second corresponding relation, determining that the first target weighing module 111 is normal.

Wherein the first raw data is data collected by the first load cell 111a, and the second raw data is data collected by the second load cell 111 b. In one example, the first raw data and the second raw data are represented by voltages.

The second corresponding relation is preset. Specifically, the second correspondence relationship is determined based on the setting positions and the calibration patterns of the first load cell 111a and the second load cell 111 b.

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 smaller than or equal to a preset second difference threshold.

Wherein the preset second difference threshold is determined based on the accuracy of the load cell.

In actual implementation, the second correspondence relationship may be set based on another method, and the method of determining the second correspondence relationship is not limited in this embodiment.

Because on the target weighing module, the relative position relation between the first target weighing sensor and the second target weighing sensor is determined, when the first target weighing sensor and the second target weighing sensor are normal, a certain relation between the first target primary data and the second target primary data is met, namely the second corresponding relation is met, and when the first target primary data and the second target primary data do not meet the second corresponding relation, the condition that at least one of the first weighing sensor and the second weighing sensor is abnormal is indicated, so that the state of the first weighing module can be monitored based on the first primary data and the second primary data.

Optionally, the upper computer 200 is further configured to output processing auxiliary information including the identifier of the first weighing module 111 when determining that the state of the target first weighing module 111 is abnormal, so as to prompt a worker to process the abnormality of the first weighing module 111. Therefore, the worker can accurately position the abnormal module, and the time for processing the abnormality can be shortened.

According to the technical scheme, whether the first weighing module is abnormal or not can be determined based on whether the first original data of the target, which is acquired by the first weighing sensor of the target, on the first weighing module and the second original data of the target, which is acquired by the second weighing sensor of the target, are matched with the second corresponding relation, so that whether the first weighing module is abnormal or not can be determined based on the weighing data, which is acquired by the first weighing module, and therefore, the state of the first weighing module can be automatically monitored, and the truck scale can be overhauled conveniently.

In the actual implementation process, whether the second weighing module is abnormal can be determined based on the same mode, or the second weighing module is abnormal can be directly determined under the condition that the weighing module is abnormal and the first weighing module is normal, and the mode of determining whether the second weighing module is abnormal is not limited in this embodiment.

Referring to fig. 3, in one example, the truck scale 100 includes at least two weighing modules 110, each weighing module 110 being disposed along a first direction of the truck scale 100 that is perpendicular to a vehicle entrance direction of the truck scale 100.

Correspondingly, after determining that the state of the target first weighing module 111 is abnormal, the upper computer 200 further includes: determining a 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 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.

Alternatively, the reference weighing module 110 corresponding to the target weighing module 110 may be preset, or may be randomly selected from other weighing modules 110 of the truck scale 100 except for the target weighing module 110, and the type of the reference weighing module 110 is not limited in this embodiment.

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: and converting the reference first weighing data according to a preset first conversion relation to obtain corrected first weighing data.

The preset first conversion relationship is predetermined, and the preset first conversion relationship between different weighing modules 110 is the same or different.

In one example, the preset first conversion relation includes a preset first conversion coefficient, and converting the reference first weighing data according to the preset first conversion relation to obtain corrected first weighing data includes: and determining the product of the reference first weighing data and the preset first conversion coefficient as corrected first weighing data.

In one example, during the process of debugging the truck scale 100, the test vehicle drives through the truck scale 100, and at this time, a preset first conversion relationship between the weighing modules 110 is determined based on a relationship between the weighing data corresponding to the first weighing modules 111 on the weighing modules 110 on the truck scale 100.

In actual implementation, the preset first conversion relationship between each weighing module 110 on the truck scale 100 may be determined based on the weighing data collected by the truck scale 100 during use, and the determining manner of the preset first conversion relationship is not limited in this embodiment.

Optionally, when determining that the target first weighing module 111 is abnormal, the upper computer 200 also records weighing data corresponding to the target first weighing module 111, so that the target first weighing module 111 can be overhauled in the later period.

In another example, after determining that the state of the target first weighing module 111 is abnormal, the upper computer 200 is further configured to: an abnormal load cell is determined from the target first load cell 111a and the target second load cell 111b based on the target first raw data, the target second raw data, and the target second load data.

The abnormal weighing sensor is a target first weighing sensor 111a and/or a target second weighing sensor 111b.

Under the condition that the first weighing module and the second weighing module are normal, the first weighing data and the second weighing data have a corresponding relation, and the first weighing data are obtained by fusing the first original data and the second original data, so that under the condition that the first weighing data are abnormal, the abnormal weighing sensor can be further determined 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, and the automobile balance can be further convenient to overhaul.

Optionally, determining the abnormal load cell from the target first load cell 111a and the target second load cell 111b based on the target first raw data, the target second raw data, and the target second load data includes: determining expected first weighing data based on the target second weighing data and a preset first corresponding relation; determining desired first raw data and desired second raw data based on the desired 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.

In one example, the first weighing data is obtained by superimposing first raw data and second raw data, and determining that the first raw data and the second raw data are desired based on the desired first weighing data includes: half of the desired first weighing data is taken as the desired first raw data and the desired second raw data.

Correspondingly, under the condition that the difference value between the target first original data and the expected first original data is smaller than a preset third difference value threshold, the target first original data is matched with the expected first original data, and at the moment, the target first original data is determined to be normal; and under the condition that the difference value between the target first original data and the expected first original data is larger than or equal to a preset third difference value threshold value, the target first original data is not matched with the expected first original data, and at the moment, the target first original data is determined to be abnormal.

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, which is not described in detail in this embodiment.

Optionally, the upper computer 200 is further configured to output processing auxiliary information including an identifier of the abnormal weighing sensor when the abnormal weighing sensor is determined, so as to prompt a worker to process an abnormality of the abnormal weighing sensor. Therefore, the worker can accurately position the abnormal weighing sensor, and the time for processing the abnormality can be shortened.

It should be noted that, in the above embodiment, the abnormal weighing module is taken as the first weighing module 111 as an example for description, and the implementation manner when the abnormal weighing module is the second weighing module 112 is the same as the implementation manner when the abnormal weighing module is the first weighing module 111, which is not described herein.

Referring to fig. 3, further, the truck scale 100 includes at least two weighing modules 110, each weighing module 110 being disposed along a first direction of the truck scale 100, the first direction being perpendicular to a vehicle entrance direction of the truck scale 100.

Accordingly, after determining the abnormal weighing sensor, the upper computer 200 is further configured to: determining a reference weighing module 110 corresponding to the target weighing module 110, and determining a reference weighing sensor corresponding to an abnormal weighing sensor from all weighing sensors on the reference weighing module 110; determining corrected raw data corresponding to the abnormal weighing sensor based on the reference raw data corresponding to the reference weighing sensor; and generating corrected weighing data corresponding to the weighing module where the abnormal weighing sensor is located based on the corrected original data.

The manner of determining the reference weighing module 110 corresponding to the target weighing module 110 is the same as that of the foregoing embodiment, and this embodiment is not described herein again.

Optionally, determining the reference load cell corresponding to the abnormal load cell from the individual load cells on the reference load module 110 includes: the load cell at the position corresponding to the abnormal load cell on the reference weighing module 110 is determined as the reference load cell.

Such as: the abnormal weighing sensor is a target first weighing sensor, and the first weighing sensor on the reference weighing module is determined to be the reference weighing sensor.

Optionally, determining the corrected raw data corresponding to the abnormal weighing sensor based on the reference raw data corresponding to the reference weighing sensor includes: and converting the reference original data according to a preset second conversion relation to obtain corrected original data corresponding to the abnormal weighing sensor.

The preset second conversion relation is preset, and the preset second conversion relation among different weighing sensors is the same or different.

The mode of converting the reference data according to the preset second conversion relationship is the same as the mode of converting the reference first weighing data according to the preset first conversion relationship, and the embodiment is not described herein again.

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 raw data, which is the same as the manner in which the weighing data is generated based on the raw data collected by the weighing sensor, and this embodiment is not described herein again.

Such as: the abnormal weighing sensor includes a first weighing sensor 111a, and generates corrected weighing data corresponding to a weighing module where the abnormal weighing sensor is located based on the corrected raw data at this time, including: and fusing the corrected original data with the target second weighing data to obtain corrected weighing data corresponding to the target first weighing module 111.

According to the technical scheme, the automobile scale comprises at least two weighing modules which are arranged along the direction perpendicular to the driving-in direction of the automobile scale, the upper 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 the corrected weighing data corresponding to the abnormal weighing module based on the corrected original data, so that under the condition that the abnormal weighing sensor is determined, the corrected original data corresponding to the abnormal weighing sensor is determined based on the original data corresponding to the reference weighing sensor, and the corrected weighing data corresponding to the abnormal weighing module is generated based on the corrected original data, automatic restoration of the weighing data of the automobile scale can be realized, self-healing of the automobile scale is realized, influence of the abnormality of the weighing sensor on the weighing data of the automobile scale is reduced, and reliability of the automobile scale is improved.

In addition, as the original data of the abnormal weighing sensor can be independently corrected, and corrected weighing data corresponding to the abnormal weighing module is generated by using the corrected original data, the original data collected by other normal weighing sensors in the abnormal weighing module can be fully utilized to generate the weighing data, and the accuracy of the corrected weighing data can be further improved.

In actual implementation, under the condition that the target weighing module is determined to be abnormal, other ways of correcting the weighing data corresponding to the target weighing module can be adopted, and the way of correcting the weighing data corresponding to the symmetrical weighing module is not limited in the embodiment.

Based on the above technical solution, referring to fig. 4, optionally, the truck scale 100 includes at least two weighing modules 110, each weighing module 110 is disposed along a first direction of the truck scale 100, the weighing sensors on the weighing modules 110 are disposed along a second direction of the truck scale 100, the first direction is perpendicular to the second direction, the second direction is the same as the entrance direction of the truck scale, and the second weighing module 112 includes at least two weighing sensors.

Correspondingly, the upper computer 200 is further configured to: corresponding to each weighing module 110 on the truck scale 100, obtaining second weighing data corresponding to a second weighing module 112 on the weighing module 110; determining a reference vehicle speed corresponding to the weighing module 110 based on the second weighing data; whether an abnormal weighing module exists on the truck scale 100 is determined based on the reference vehicle speed corresponding to each weighing module 110.

Because the weighing sensors on the weighing module are arranged along the vehicle entrance direction of the truck scale 100, and the second weighing module 112 includes at least two weighing sensors, in the dynamic weighing process, the vehicle of the target vehicle sequentially passes through each weighing sensor on the second weighing module 112, so that the vehicle speed of the target vehicle can be determined based on the second weighing data corresponding to the weighing module.

In one example, determining whether an abnormal weighing module is present on the truck scale 100 based on a reference vehicle speed for each weighing module 110 includes: determining an average value of the reference vehicle speeds corresponding to the weighing modules 110 as an average vehicle speed; and determining a weighing module with the difference value between the reference vehicle speed and the average vehicle speed in each weighing module 110 being greater than a preset vehicle speed difference threshold value as an abnormal weighing module.

In actual implementation, the abnormal weighing module may also be determined based on other means, such as: the weighing modules with the difference values of the reference vehicle speed and the reference vehicle speeds corresponding to the other weighing modules being larger than the preset vehicle speed difference value threshold are determined as abnormal weighing modules, and the determining mode of the abnormal weighing modules is not limited in the embodiment.

Referring to fig. 5, optionally, the second weighing module 112 includes a third load cell 112a and a fourth load cell 112b, and the second weighing data includes third raw data collected by the third load cell 112a and fourth raw data collected by the fourth load cell 112 b.

Accordingly, the upper computer 200 determines the reference vehicle speed corresponding to the weighing module 110 based on the second weighing data, including: determining a third time when the target vehicle passes through the position of the third weighing sensor 112a based on the change condition of the third initial data; determining a fourth time when the target vehicle passes through the position of the fourth load cell 112b based on the change condition of the fourth raw data; the reference vehicle speed corresponding to the weighing module 110 is determined based on the interval length between the third time and the fourth time and the interval distance between the third load cell 112a and the fourth load cell 112 b.

Wherein the separation distance between the third load cell 112a and the fourth load cell 112b is preset.

Because in the process that the target vehicle passes through the truck scale, the vehicle can firstly approach the weighing sensor on the truck scale and then be far away from the weighing sensor on the truck scale, so that the original data corresponding to the weighing sensor can be increased and then reduced, and the time corresponding to the peak value of the original data is the time of the vehicle passing through the weighing sensor, so that the time of the target vehicle passing through the weighing sensor can be determined based on the change condition of the original data.

In actual implementation, the reference vehicle speed may be calculated based on other methods, and the embodiment does not limit the calculation method of the reference vehicle speed.

Optionally, determining the reference vehicle speed corresponding to the weighing module based on the interval length between the third time and the fourth time and the interval distance between the third load cell 112a and the fourth load cell 112b includes: the ratio of the interval distance to the interval duration is determined as the reference vehicle speed.

In one example, the weighing module 110 is elongated in shape, and the third and

fourth load cells

112a and 112b are positioned near the ends of the weighing module, respectively, to facilitate a proper increase in the duration of the interval, thereby improving the accuracy of the determined reference vehicle speed.

Optionally, after the upper computer 200 determines whether the truck scale 100 has an abnormal weighing module based on the reference vehicle speed corresponding to each weighing module 110, the method further includes: the speed measurement result is determined based on the reference vehicle speed corresponding to the other weighing modules 110 except the abnormal weighing module 110 among the weighing modules 110 on the truck scale 100.

In one example, determining the speed measurement result based on the reference vehicle speed corresponding to the other weighing modules 110 except the abnormal weighing module 110 among the weighing modules 110 on the truck scale 100 includes: and determining the average value of the reference vehicle speeds corresponding to the other weighing modules 110 as a speed measurement result.

In actual implementation, the speed measurement result may be determined based on other manners, and the embodiment does not limit the determination manner of the speed measurement result.

The embodiment of the application also provides a state monitoring method of the truck scale, which is used in an upper computer of the state monitoring system, and referring to fig. 6, the state monitoring method comprises the following steps:

Step 601, obtaining target first weighing data corresponding to a target first weighing module on a target weighing module and target second weighing data corresponding to a target second weighing module on the target weighing module.

Step 602, determining whether the target first weighing data and the target second weighing data meet a preset first corresponding relationship.

And step 603, determining that the state of the target weighing module is abnormal under the condition that the first target weighing data and the second target weighing data do not meet the preset first corresponding relation.

See in particular the embodiments of the state monitoring system portion of the truck scale described above.

It should be noted that, the above dynamic weighing method is used in the upper computer of the state monitoring system and belongs to the same inventive concept as the state monitoring system, so that the method has all the beneficial technical effects of the state monitoring system provided by the above embodiment, and the embodiment is not repeated here.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may 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. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may 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 disk), etc.

Those of ordinary skill in the art will appreciate that implementing all or part of the above-described method embodiments may be accomplished by a computer program to instruct related hardware, the program may be stored in a computer readable storage medium, and the program may include the above-described method embodiments when executed. And the aforementioned storage medium includes: ROM or random access memory RAM, magnetic or optical disk, etc.

The foregoing embodiments are only used for describing the technical solution of the present application in detail, but the descriptions of the foregoing embodiments are only used for helping to understand the method and the core idea of the present application, and should not be construed as limiting the present application. Variations or alternatives that are readily contemplated by those skilled in the art within the scope of the present disclosure are intended to be encompassed within the scope of the present disclosure.

Claims

1. A condition monitoring system for an automobile scale, the system comprising: an automobile scale (100) and an upper computer (200);

the truck scale (100) comprises at least one weighing module (110), the weighing module (110) comprises a first weighing module (111) and a second weighing module (112), and the first weighing module (111) and the second weighing module (112) are used for acquiring weighing data and transmitting the weighing data to the upper computer (200);

The upper computer (200) is used for:

acquiring target first weighing data corresponding to a target first weighing module (111) on a target weighing module (110) and target second weighing data corresponding to a target second weighing module (112) on the target weighing module (110);

and determining that the state of the target weighing module (110) is abnormal under the condition that the target first weighing data and the target second weighing data do not meet the preset first corresponding relation.

2. The system of claim 1, wherein the first weighing module (111) includes a first load cell (111 a) and a second load cell (111 b), and wherein after determining that the target weighing module (110) is abnormal, further comprising:

acquiring first original target data corresponding to a first target weighing sensor (111 a) on the first target weighing module (111) and second original target data corresponding to a second target weighing sensor (111 b) on the first target weighing module (111);

and under the condition that the target first original data and the target second original data do not meet the preset second corresponding relation, determining that the state of the target first weighing module (111) is abnormal.

3. The system of claim 2, wherein the truck scale (100) comprises at least two weighing modules (110), each weighing module (110) being disposed along a first direction of the truck scale (100), the first direction being perpendicular to a vehicle entrance direction of the truck scale (100);

after determining that the state of the target first weighing module (111) is abnormal, the method further comprises:

determining a reference weighing module (110) corresponding to the target weighing module (110);

determining a first weighing module (111) on the reference weighing module (110) as a reference first weighing module (111);

and determining 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).

4. The system according to claim 2, wherein after said determining that the target first weighing module (111) is abnormal, further comprising:

An abnormal load cell is determined from the target first load cell (111 a) and the target second load cell (111 b) based on the target first raw data, the target second raw data, and the target second load data.

5. The system of claim 4, wherein the truck scale (100) comprises at least two weighing modules (110), each weighing module (110) being disposed along a first direction of the truck scale (100), the first direction being perpendicular to a vehicle entrance direction of the truck scale (100);

determining a reference weighing sensor corresponding to the abnormal weighing sensor from all weighing sensors on the reference weighing module (110);

6. The system of claim 1, wherein the truck scale (100) comprises at least two weighing modules (110), each weighing module (110) being disposed along a first direction of the truck scale (100), the load cells on the weighing modules (110) being disposed along a second direction of the truck scale (100), the first direction being perpendicular to the second direction, the second direction being the same as a vehicle entrance direction of the truck scale (100), the second weighing module (112) comprising at least two load cells; the upper computer (200) is also used for:

for each weighing module (110) on the truck scale (100), second weighing data corresponding to a second weighing module (112) on the weighing module (110) are obtained;

determining a reference vehicle speed corresponding to the weighing module (110) based on the second weighing data;

and determining whether an abnormal weighing module (110) exists on the truck scale (100) based on the reference vehicle speed corresponding to each weighing module (110).

7. The system of claim 6, wherein the second weighing module (112) includes a third load cell (112 a) and a fourth load cell (112 b), the second weighing data includes third raw data collected by the third load cell (112 a) and fourth raw data collected by the fourth load cell (112 b), the determining a reference vehicle speed corresponding to the weighing module (110) based on the second weighing data includes:

Determining a third time when the target vehicle passes through the position of the third weighing sensor (112 a) based on the change condition of the third initial data;

determining a fourth time when the target vehicle passes through the position of the fourth weighing sensor (112 b) based on the change condition of the fourth original data;

-determining a reference vehicle speed corresponding to the weighing module (110) based on a length of a separation between the third time and the fourth time and a separation distance between the third load cell (112 a) and the fourth load cell (112 b).

8. The system of claim 6, wherein after said determining whether an abnormal weighing module (110) is present on said truck scale (100) based on a reference vehicle speed for each of said weighing modules (110), further comprising:

and determining a speed measurement result based on the reference vehicle speeds corresponding to other weighing modules (110) except the abnormal weighing module (110) in the weighing modules (110) on the truck scale (100).

9. A method for monitoring the state of an automobile scale, which is used in an upper computer of the state monitoring system of the automobile scale according to any one of claims 1 to 8, and comprises the following steps:

10. A computer-readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed in a computer, causes the computer to perform the state monitoring method of the truck scale of claim 9.