Intelligent measurement supervision method and device for highway traffic overload detection equipment and medium

Abstract

The application provides a highway traffic overload detection equipment intelligent measurement supervision method, device and medium, the method comprises the following steps: setting a reference standard equipment, setting a fixed reference standard vehicle, setting a temporary reference equipment group, setting a temporary reference standard vehicle, monitoring other to-be-detected equipment in real time through the temporary reference standard vehicle, uploading the monitored data to the background, cross-comparing by the background, if the equipment is found to be out of tolerance, the equipment is defined as a suspicious equipment, and the driving route of the fixed reference standard vehicle is dynamically adjusted according to the position of the suspicious equipment, so that the suspicious equipment is preferentially inspected, the to-be-detected equipment or the suspicious equipment driven through by the fixed reference standard vehicle is detected, the out-of-tolerance equipment data detected by the fixed reference standard vehicle is uploaded to the background, and the background gives a diagnosis result of stopping and repairing or detecting. The application can realize multi-equipment parallel detection, and greatly improves the detection efficiency.

Description

Technical Field

[0001] The present invention relates to the field of detection technology for overweight control site equipment, and in particular to a smart metering and supervision method, device and medium for highway traffic overweight control detection equipment. Background Art

[0002] Overload control devices play a vital role in ensuring road safety, maintaining traffic order, and reducing traffic accidents. They can promptly detect overloaded vehicles and prevent them from damaging infrastructure such as bridges and roads, thereby reducing repair and restoration costs. As overload control efforts progress, an increasing number of off-site inspection sites are being established. These sites are equipped with a variety of detection equipment, including lidar for profile detection and weighing instruments, load cells, and coil vehicle inspection devices for overload detection. These devices are prone to malfunctioning when exposed to harsh environments or improper installation and use, preventing them from properly weighing passing vehicles. Therefore, regular calibration of measuring instruments such as dynamic truck scales and profile measurement devices used in road transport is crucial for monitoring and enforcing traffic regulations, preventing illegal overloading, improving the effectiveness of traffic equipment, and ensuring the safety and reliability of the road network.

[0003] However, because measuring instruments such as dynamic truck scales and profile measuring devices used in road transportation are widely distributed and numerous, using a fixed reference vehicle provided by a legal agency for regular inspections typically takes dozens of days from the first device to the last. This makes it impossible to promptly detect abnormal devices detected later, and real-time dynamic inspections are also impossible. This effectively compromises the security and stability of network equipment at overweight vehicle control sites. Adding more fixed reference vehicles or increasing the frequency of scheduled inspections would significantly increase inspection costs.

[0004] Therefore, there is an urgent need for a method for efficiently detecting the dynamic vehicle scale equipment and the equipment involved in the profile measurement device at multiple overweight vehicle control stations to improve the overall efficiency and reliability of the overweight vehicle control equipment. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a smart metering and supervision method, device and medium for highway traffic overweight control detection equipment to solve the problem of poor periodic detection efficiency of existing overweight control station equipment.

[0006] In a first aspect, the present invention provides a method for intelligent metering and supervision of highway traffic overload control detection equipment, comprising the following steps:

[0007] Step S1: Setting a reference standard device, using a pre-selected device that has passed the assessment standard as the reference standard device;

[0008] Step S2: Set up a fixed reference standard vehicle. Use the standard vehicle provided by the metrology agency as the fixed reference standard vehicle, and have it drive along the preset route along the reference standard equipment to perform inspection operations on all equipment to be inspected.

[0009] Step S3: Set up a temporary reference device group, select n devices to be inspected, and let the fixed reference standard vehicle pass through the n devices to be inspected, inspect the n devices to be inspected, and select the devices with qualified test results as the temporary reference device group;

[0010] Step S4: Set a temporary reference standard vehicle, and capture m social vehicles that have passed through the temporary reference equipment group and the reference standard equipment as temporary reference standard vehicles;

[0011] Step S5: Real-time monitoring of other equipment to be inspected that the temporary reference standard vehicle passes by is performed, and the monitored data is uploaded to the background, which performs cross-comparison. If an out-of-tolerance situation is detected in the equipment, the equipment is defined as a suspect device, and the driving route of the fixed reference standard vehicle is dynamically adjusted according to the position of the suspect device, so that the suspect device is inspected first, and the equipment to be inspected or the suspect device that the fixed reference standard vehicle passes by is inspected. The data of the out-of-tolerance equipment detected by the fixed reference standard vehicle is uploaded to the background, and the background gives a diagnosis result of being disabled for repair or awaiting inspection.

[0012] Furthermore, the equipment to be inspected includes a dynamic vehicle scale and its supporting laser radar, camera, and vehicle inspection equipment.

[0013] Furthermore, the reference standard device in step S1 is further provided with a reference standard device correction model, and the reference standard device correction model is expressed as: ;

[0014] In the formula It represents the dynamic truck scale indication after correction, I represents the dynamic truck scale indication before correction, represents the temperature effect model, represents the impact model of usage frequency, The influence model indicating the time since the last calibration is obtained through experiments and expressed in the form of a formula or table. The indication of the reference standard equipment is adjusted according to the indication of environmental changes.

[0015] Furthermore, the fixed reference standard vehicle in step S2 also introduces a reference standard vehicle correction model, and the expression of the reference standard vehicle correction model is: ;

[0016] Where M is the corrected fixed reference standard vehicle weight, Indicates the gross vehicle and cargo weight benchmark value of a fixed reference standard vehicle. Indicates fuel consumption, Represents the change in driver weight. During testing using a fixed reference vehicle, the reference weight of the fixed reference vehicle is recalculated using the reference vehicle correction model described above. The fuel consumption value is estimated based on its driving path, and the driver weight change is recalculated when the driver is changed.

[0017] Furthermore, the step S5 is specifically as follows:

[0018] Step S51: Real-time monitoring of other devices to be inspected that the temporary reference standard vehicle passes through is performed, and the monitored data is uploaded to the backend for cross-comparison. If any device is detected to be out of tolerance, the backend further determines whether the corresponding temporary reference vehicle has abnormal driving behavior. If so, an alarm is issued for the abnormal vehicle behavior. Otherwise, the current device to be inspected is defined as a suspect device, and the suspect device data is uploaded to the backend.

[0019] Step S52: The backend dynamically adjusts the route of the fixed reference standard vehicle based on the location of the suspicious device, setting a higher inspection priority for the suspicious device so that the suspicious device can be detected in advance when the route of the fixed reference standard vehicle changes;

[0020] Step S53: Instruct the fixed reference standard vehicle to travel along the preset route, inspect the equipment to be inspected or the equipment in question that the fixed reference standard vehicle passes by, and upload the out-of-tolerance equipment data detected by the fixed reference standard vehicle to the background. The background further determines whether the out-of-tolerance situation is caused by equipment failure based on a preset fault judgment method. If so, a diagnosis result of suspension for repair is issued to the site; otherwise, a diagnosis result of pending inspection is issued to the site.

[0021] Furthermore, the selection condition of the temporary reference standard vehicle also includes: its driving path includes at least two stations.

[0022] In a second aspect, the present invention provides a smart metering and monitoring device for highway traffic overload control detection equipment, including a reference standard device setting module, a fixed reference standard vehicle setting module, a temporary reference device group setting module, a temporary reference standard vehicle setting module, and a cross detection module;

[0023] The reference standard device setting module is used to set the reference standard device, and use the pre-selected device that passes the assessment standard as the reference standard device;

[0024] The fixed reference standard vehicle setting module is used to set up a fixed reference standard vehicle, use the standard vehicle provided by the metrology agency as the fixed reference standard vehicle, and make it pass the reference standard equipment and drive normally along the preset route so as to perform inspection operations on all the equipment to be inspected;

[0025] The temporary reference device group setting module is used to set up a temporary reference device group, select n devices to be inspected, let the fixed reference standard vehicle pass through the n devices to be inspected, inspect the n devices to be inspected, and select the devices with qualified test results as the temporary reference device group;

[0026] The temporary reference standard vehicle setting module is used to set a temporary reference standard vehicle and capture m social vehicles that have passed through the temporary reference equipment group and the reference standard equipment as temporary reference standard vehicles;

[0027] The cross-detection module is used to monitor other equipment to be inspected that the temporary reference standard vehicle passes by in real time, upload the monitored data to the background, and the background performs cross-comparison. If the equipment is detected to be out of tolerance, the equipment is defined as a suspicious equipment, and the driving route of the fixed reference standard vehicle is dynamically adjusted according to the position of the suspicious equipment, so that the suspicious equipment is inspected first, and the equipment to be inspected or the suspicious equipment that the fixed reference standard vehicle passes by is inspected. The data of the out-of-tolerance equipment detected by the fixed reference standard vehicle is uploaded to the background, and the background gives a diagnostic result of being disabled for repair or awaiting inspection.

[0028] Furthermore, the equipment to be inspected includes a dynamic vehicle scale and its supporting laser radar, camera, and vehicle inspection equipment.

[0029] Furthermore, the reference standard device setting module is further provided with a reference standard device correction model for adjusting the indication of the reference standard device according to the indication of environmental changes. The reference standard device correction model is expressed as: ;

[0030] In the formula It represents the dynamic truck scale indication after correction, I represents the dynamic truck scale indication before correction, represents the temperature effect model, represents the impact model of usage frequency, The influence model representing the time from the last calibration is obtained through experiments and expressed in the form of a formula or table.

[0031] Furthermore, the fixed reference standard vehicle setting module is further provided with a reference standard vehicle correction model for adjusting the reference weight of the fixed reference standard vehicle in real time. The expression of the reference standard vehicle correction model is: ;

[0032] Where M is the corrected fixed reference standard vehicle weight, Indicates the gross vehicle and cargo weight benchmark value of a fixed reference standard vehicle. Indicates fuel consumption, Indicates the change in driver weight. During testing using a fixed reference vehicle, where fuel consumption is estimated based on the driving path, the driver weight change is recalculated when a driver is changed.

[0033] Furthermore, the cross detection module specifically includes:

[0034] The real-time detection module is used to monitor other devices to be inspected that the temporary reference standard vehicle passes by in real time, and upload the monitored data to the backend for cross-comparison. If any device is detected to be out of tolerance, the backend will further determine whether the corresponding temporary reference vehicle has abnormal driving behavior. If so, an alarm will be issued for the abnormal vehicle behavior. Otherwise, the current device to be inspected will be defined as a suspicious device and the suspicious device data will be uploaded to the backend.

[0035] The dynamic route adjustment module is used to dynamically adjust the fixed reference standard vehicle's route based on the location of suspicious devices through the background, setting a higher inspection priority for suspicious devices so that suspicious devices can be detected in advance when the fixed reference standard vehicle's route changes;

[0036] The statutory inspection module is used to make the fixed reference standard vehicle travel according to the preset route, inspect the equipment to be inspected or the equipment in question that the fixed reference standard vehicle passes by, and upload the data of the out-of-tolerance equipment detected by the fixed reference standard vehicle to the background. The background further determines whether the out-of-tolerance situation is caused by equipment failure based on the preset fault judgment method. If so, a diagnosis result of suspension and pending repair is issued to the site; otherwise, a diagnosis result of pending inspection is issued to the site.

[0037] Furthermore, the selection condition of the temporary reference standard vehicle also includes: its driving path includes at least two stations.

[0038] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect.

[0039] One or more technical solutions provided by the present invention have at least the following technical effects or advantages:

[0040] The intelligent metering and supervision method for highway traffic overload control detection equipment of the present invention only requires a fixed reference standard vehicle provided by a statutory agency to inspect the equipment one by one, and automatically introduces multiple temporary reference equipment and temporarily captured social vehicles as temporary reference standard vehicles to perform parallel inspections on site equipment distributed in different areas. There is no need to increase the number of fixed reference standard vehicles, and the driving route of the fixed reference standard vehicle can be dynamically adjusted according to the parallel inspection results, thereby achieving low-cost and efficient site equipment inspection effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0042] Figure 1 This is a flowchart of an execution method for intelligent metering and supervision of highway traffic overload control detection equipment in embodiment 1 of the present invention;

[0043] Figure 2 This is a schematic diagram of the principles of a smart metering and supervision method for highway traffic overload control detection equipment in Example 1 of the present invention.

[0044] Figure 3 This is a schematic diagram of the structure of a smart metering and monitoring device for highway traffic overload control detection equipment in the second embodiment of the present invention;

[0045] Figure 4 This is a schematic diagram of the structure of the medium in Example 3 of the present invention. DETAILED DESCRIPTION

[0046] The embodiments of the present application provide a method, device and medium for intelligent metering and supervision of highway traffic overload control and detection equipment, which can effectively solve the problems of heavy workload and low efficiency in the existing metering and detection of highway traffic equipment.

[0047] The technical solution in the embodiments of the present application has the following overall idea: In order to address the problems of large quantity and wide range of dynamic vehicle scales, contour measuring devices, etc. used in road transportation, high regular calibration costs, high labor intensity, and inability to accurately implement metrological supervision, the remote intelligent supervision platform planned to be developed, by setting up a fixed reference standard vehicle and reference standard equipment provided by a statutory agency, and introducing a temporary reference equipment group and a temporary reference standard vehicle, simulates multiple reference standard vehicles to perform inspection tasks in parallel, can quickly cover the inspection of site equipment in various areas in a short time, discover problem equipment in time, and greatly improve inspection efficiency without increasing the number of fixed reference standard vehicles.

[0048] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0049] Example 1

[0050] like Figure 1 and Figure 2 As shown, this embodiment provides a method for intelligent metering and supervision of highway traffic overload control detection equipment, including the following steps:

[0051] Step S1: Setting a reference standard device, using a pre-selected device that has passed the assessment standard as the reference standard device;

[0052] Step S2: Set up a fixed reference standard vehicle. Use the standard vehicle provided by the metrology agency as the fixed reference standard vehicle, and have it drive along the preset route along the reference standard equipment to perform inspection operations on all equipment to be inspected.

[0053] Step S3: Set up a temporary reference device group, select n devices to be inspected, have the fixed reference standard vehicle drive past the n devices to be inspected, inspect the n devices, and select the devices with qualified test results (the devices whose test data are compared with the corresponding data of the fixed reference standard vehicle, and those with no deviation between the two are considered qualified devices, the number of devices is 1 to n, where n is a positive integer and the value of n is adjusted according to actual conditions) as the temporary reference device group;

[0054] Step S4: Set a temporary reference standard vehicle, capture m social vehicles that have passed through the temporary reference equipment group and the reference standard equipment, and use them as temporary reference standard vehicles, where m is a positive integer and the value of m is adjusted according to the actual situation;

[0055] Step S5: Real-time monitoring of other equipment to be inspected that the temporary reference standard vehicle passes by is performed, and the monitored data is uploaded to the background, which performs cross-comparison. If an out-of-tolerance situation is detected in the equipment, the equipment is defined as a suspect device, and the driving route of the fixed reference standard vehicle is dynamically adjusted according to the position of the suspect device, so that the suspect device is inspected first, and the equipment to be inspected or the suspect device that the fixed reference standard vehicle passes by is inspected. The data of the out-of-tolerance equipment detected by the fixed reference standard vehicle is uploaded to the background, and the background gives a diagnosis result of being disabled for repair or awaiting inspection.

[0056] Preferably, the equipment to be inspected includes a dynamic vehicle scale composed of a weighing meter and a weighing sensor, as well as supporting equipment such as a laser radar, a camera, and a vehicle inspection device (coil).

[0057] Preferably, the reference standard device in step S1 (a dynamic truck scale selected after testing) also has a reference standard device correction model. This is because the metrological performance of a dynamic truck scale will gradually change with external factors such as frequency of use, changes in ambient temperature and humidity, and time, and some influencing factors are non-linear. Therefore, the reference standard device correction model is expressed as: ;

[0058] In the formula It represents the dynamic truck scale indication after correction, I represents the dynamic truck scale indication before correction, represents the temperature effect model, represents the impact model of usage frequency, Indicates the impact model of the time since the last calibration. The above impact models are obtained through experiments and expressed in formula or table form. The indication of the reference standard equipment is adjusted according to the indication of environmental changes.

[0059] Preferably, the fixed reference standard vehicle in step S2 also introduces a reference standard vehicle correction model, and the vehicle weight change mainly includes: fuel consumption m oil , Driver weight change m driver , rainfall water m rain 、Dust accumulation earth To control vehicle weight changes, a van is used to transport weights. The van surface is smooth to reduce water accumulation. A fuel level sensor is installed in the fuel tank to monitor the oil weight in real time. The vehicle is cleaned regularly to remove dust. A certified weight scale is carried on board to monitor the driver's weight. Therefore, the expression of the reference standard vehicle correction model is: ;

[0060] Where M is the corrected fixed reference standard vehicle weight, Indicates the gross vehicle and cargo weight benchmark value of a fixed reference standard vehicle. According to JJG907-2006, use an electronic truck scale with medium accuracy or above as a control scale to weigh the reference vehicle (including driver, oil, water, etc.) to obtain an accurate gross vehicle and cargo weight benchmark value. , Indicates fuel consumption, Represents the change in driver weight. During testing using a fixed reference vehicle, the reference weight of the fixed reference vehicle is recalculated using the reference vehicle correction model described above. The fuel consumption value is estimated based on its driving path, and the driver weight change is recalculated when the driver is changed.

[0061] Preferably, the step S5 is specifically as follows:

[0062] Step S51: Real-time monitoring of other devices to be inspected that the temporary reference standard vehicle passes through is performed, and the monitored data is uploaded to the backend for cross-comparison. If any device is detected to be out of tolerance, the backend further determines whether the corresponding temporary reference vehicle has abnormal driving behavior. If so, an alarm is issued for the abnormal vehicle behavior (indicating that it may be evading punishment). Otherwise, the current device to be inspected is defined as a suspect device, and the suspect device data is uploaded to the backend.

[0063] Step S52: The backend dynamically adjusts the route of the fixed reference standard vehicle based on the location of the suspicious device, setting a higher inspection priority for the suspicious device so that the suspicious device can be detected in advance when the route of the fixed reference standard vehicle changes;

[0064] Step S53: The fixed reference standard vehicle travels along a preset route, inspecting any equipment under inspection or in doubt along its route. Data on any out-of-tolerance equipment detected by the fixed reference standard vehicle is uploaded to the backend. The backend then determines, based on a pre-set fault diagnosis method, whether the out-of-tolerance condition is due to equipment failure. If so, a diagnostic result indicating the equipment is out of service pending repair is issued to the station; otherwise, a diagnostic result indicating the equipment is pending calibration is issued to the station. After excluding any abnormal driving behavior by non-local vehicles and equipment failures, the equipment can be used as a basis for determining if metering performance has degraded and is therefore considered to be pending calibration.

[0065] Preferably, the selection condition of the temporary reference standard vehicle further includes: its driving path includes at least two stations.

[0066] Based on the same inventive concept, this application also provides a device corresponding to the method in Example 1, see Example 2 for details.

[0067] Example 2

[0068] like Figure 3 As shown, this embodiment provides a smart metering and supervision device for highway traffic overload control detection equipment, including a reference standard device setting module, a fixed reference standard vehicle setting module, a temporary reference device group setting module, a temporary reference standard vehicle setting module and a cross detection module;

[0069] The reference standard device setting module is used to set the reference standard device, and use the pre-selected device that passes the assessment standard as the reference standard device;

[0070] The fixed reference standard vehicle setting module is used to set up a fixed reference standard vehicle, use the standard vehicle provided by the metrology agency as the fixed reference standard vehicle, and make it pass the reference standard equipment and drive normally along the preset route so as to perform inspection operations on all the equipment to be inspected;

[0071] The temporary reference device group setting module is used to set up a temporary reference device group, select n devices to be inspected, have the fixed reference standard vehicle pass through the n devices to be inspected, inspect the n devices to be inspected, and select the devices with qualified test results (by comparing their test data with the corresponding data of the fixed reference standard vehicle, and those with no deviation between the data are regarded as qualified devices, the number of devices is 1 to n, where n is a positive integer and the value of n is adjusted according to actual conditions) as the temporary reference device group;

[0072] The temporary reference standard vehicle setting module is used to set a temporary reference standard vehicle, capture m social vehicles that have passed through the temporary reference equipment group and the reference standard equipment, and use them as temporary reference standard vehicles, where m is a positive integer and the value of m is adjusted according to actual conditions;

[0073] The cross-detection module is used to monitor other equipment to be inspected that the temporary reference standard vehicle passes by in real time, upload the monitored data to the background, and the background performs cross-comparison. If the equipment is detected to be out of tolerance, the equipment is defined as a suspicious equipment, and the driving route of the fixed reference standard vehicle is dynamically adjusted according to the position of the suspicious equipment, so that the suspicious equipment is inspected first, and the equipment to be inspected or the suspicious equipment that the fixed reference standard vehicle passes by is inspected. The data of the out-of-tolerance equipment detected by the fixed reference standard vehicle is uploaded to the background, and the background gives a diagnostic result of being disabled for repair or awaiting inspection.

[0074] Preferably, the equipment to be inspected includes a dynamic vehicle scale composed of a weighing meter and a weighing sensor, as well as supporting equipment such as a laser radar, a camera, and a vehicle inspection device (coil).

[0075] Preferably, the reference standard device setting module further includes a reference standard device correction model for adjusting the indication of the reference standard device according to the indication of environmental changes. The reference standard device correction model is expressed as: ;

[0076] In the formula It represents the dynamic truck scale indication after correction, I represents the dynamic truck scale indication before correction, represents the temperature effect model, represents the impact model of usage frequency, The influence model representing the time from the last calibration is obtained through experiments and expressed in the form of a formula or table.

[0077] Preferably, the fixed reference standard vehicle setting module is further provided with a reference standard vehicle correction model for adjusting the reference weight of the fixed reference standard vehicle in real time. The vehicle weight change mainly includes: fuel consumption m oil , Driver weight change m driver , rainfall water m rain 、Dust accumulation earth To control vehicle weight changes, a van is used to transport weights. The van surface is smooth to reduce water accumulation. A fuel level sensor is installed in the fuel tank to monitor the oil weight in real time. The vehicle is cleaned regularly to remove dust. A certified weight scale is carried on board to monitor the driver's weight. Therefore, the expression of the reference standard vehicle correction model is: ;

[0078] Where M is the corrected fixed reference standard vehicle weight, Indicates the gross vehicle and cargo weight benchmark value of a fixed reference standard vehicle. According to JJG907-2006, use an electronic truck scale with medium accuracy or above as a control scale to weigh the reference vehicle (including driver, oil, water, etc.) to obtain an accurate gross vehicle and cargo weight benchmark value. , Indicates fuel consumption, Represents the change in driver weight. During testing using a fixed reference vehicle, the reference weight of the fixed reference vehicle is recalculated using the reference vehicle correction model described above. The fuel consumption value is estimated based on its driving path, and the driver weight change is recalculated when the driver is changed.

[0079] Preferably, the intersection detection module specifically includes:

[0080] The real-time detection module is used to monitor other devices to be inspected that the temporary reference standard vehicle passes by in real time, and upload the monitored data to the backend for cross-comparison. If any device is detected to be out of tolerance, the backend will further determine whether the corresponding temporary reference vehicle has abnormal driving behavior. If so, an alarm will be issued for the abnormal vehicle behavior (indicating that it may be evading punishment). Otherwise, the current device to be inspected will be defined as a suspicious device, and the suspicious device data will be uploaded to the backend.

[0081] The dynamic route adjustment module is used to dynamically adjust the fixed reference standard vehicle's route based on the location of suspicious devices through the background, setting a higher inspection priority for suspicious devices so that suspicious devices can be detected in advance when the fixed reference standard vehicle's route changes;

[0082] The mandatory inspection module is used to instruct the fixed reference standard vehicle to travel along a preset route, inspecting any equipment under inspection or in doubt along its route. Data on any out-of-tolerance equipment detected by the fixed reference standard vehicle is uploaded to the backend, which then uses a pre-set fault diagnosis method to determine whether the out-of-tolerance condition is caused by an equipment failure. If so, a diagnosis result indicating the equipment is out of service pending repair is issued to the station; otherwise, a diagnosis indicating the equipment is pending verification is issued to the station. After excluding abnormal driving behavior of non-local vehicles and equipment failures, this can be used as a basis for determining whether metering performance has degraded and the equipment is subject to verification.

[0083] Preferably, the selection condition of the temporary reference standard vehicle further includes: its driving path includes at least two stations.

[0084] Based on the same inventive concept, this application provides a storage medium corresponding to Example 1, see Example 3 for details.

[0085] Example 3

[0086] This embodiment provides a computer-readable storage medium, such as Figure 4 As shown, a computer program is stored thereon, and when the computer program is executed by a processor, any implementation method in Example 1 can be implemented.

[0087] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, apparatus, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0088] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatuses, and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0089] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0090] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0091] The technical solution provided in the embodiments of the present application has at least the following technical effects or advantages: the present invention uses a fixed reference standard vehicle provided by a statutory agency, introduces multiple temporary reference equipment, and uses some qualified social vehicles as temporary reference standard vehicles to simultaneously perform real-time detection of multiple site equipment in each area, which can greatly improve the detection efficiency without increasing the number of fixed reference standard vehicles. The temporary reference standard vehicle can be used for cross-comparison to preliminarily determine whether there is a deviation in the equipment, and then the fixed reference standard vehicle can be called for detection, which can improve both detection accuracy and efficiency.

[0092] Although the specific embodiments of the present invention are described above, those skilled in the art should understand that the specific embodiments described are merely illustrative and are not intended to limit the scope of the present invention. Equivalent modifications and changes made by those skilled in the art in accordance with the spirit of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A smart measurement and supervision method for highway traffic overload control detection equipment, characterized by: The steps include: Step S1: Setting a reference standard device, using a pre-selected device that has passed the assessment standard as the reference standard device; Step S2: Set up a fixed reference standard vehicle. Use the standard vehicle provided by the metrology agency as the fixed reference standard vehicle, and have it drive along the preset route along the reference standard equipment to perform inspection operations on all equipment to be inspected. Step S3: Set up a temporary reference device group, select n devices to be inspected, and let the fixed reference standard vehicle pass through the n devices to be inspected, inspect the n devices to be inspected, and select the devices with qualified test results as the temporary reference device group; Step S4: Set a temporary reference standard vehicle, and capture m social vehicles that have passed through the temporary reference equipment group and the reference standard equipment as temporary reference standard vehicles; Step S5: Real-time monitoring of other equipment to be inspected that the temporary reference standard vehicle passes by is performed, and the monitored data is uploaded to the backend, which performs cross-comparison. If an out-of-tolerance condition is detected in the equipment, the equipment is defined as a suspect device, and the driving route of the fixed reference standard vehicle is dynamically adjusted according to the position of the suspect device, so that the suspect device is inspected first. The equipment to be inspected or the suspect device that the fixed reference standard vehicle passes by is inspected, and the data of the out-of-tolerance device detected by the fixed reference standard vehicle is uploaded to the backend, which provides a diagnosis result of being disabled for repair or awaiting inspection. Step S5 is specifically as follows: Step S51: Real-time monitoring of other devices to be inspected that the temporary reference standard vehicle passes through is performed, and the monitored data is uploaded to the backend for cross-comparison. If any device is detected to be out of tolerance, the backend further determines whether the corresponding temporary reference vehicle has abnormal driving behavior. If so, an alarm is issued for the abnormal vehicle behavior. Otherwise, the current device to be inspected is defined as a suspect device, and the suspect device data is uploaded to the backend. Step S52: The backend dynamically adjusts the route of the fixed reference standard vehicle based on the location of the suspicious device, setting a higher inspection priority for the suspicious device so that the suspicious device can be detected in advance when the route of the fixed reference standard vehicle changes; Step S53: Instruct the fixed reference standard vehicle to travel along the preset route, inspect the equipment to be inspected or the equipment in question that the fixed reference standard vehicle passes by, and upload the out-of-tolerance equipment data detected by the fixed reference standard vehicle to the background. The background further determines whether the out-of-tolerance situation is caused by equipment failure based on a preset fault judgment method. If so, a diagnosis result of suspension for repair is issued to the site; otherwise, a diagnosis result of pending inspection is issued to the site.

2. The method for intelligent metering and supervision of highway traffic overload control detection equipment according to claim 1 is characterized by: The equipment to be inspected includes a dynamic vehicle scale and its supporting laser radar, camera, and vehicle inspection equipment.

3. The method for intelligent metering and supervision of highway traffic overload control detection equipment according to claim 1 is characterized by: The reference standard device in step S1 is further provided with a reference standard device correction model, which is expressed as: ; In the formula It represents the dynamic truck scale indication after correction, I represents the dynamic truck scale indication before correction, represents the temperature effect model, represents the impact model of usage frequency, The influence model indicating the time since the last calibration is obtained through experiments and expressed in the form of a formula or table. The indication of the reference standard equipment is adjusted according to the indication of environmental changes.

4. The method for intelligent metering and supervision of highway traffic overload control detection equipment according to claim 1 is characterized in that: The fixed reference standard vehicle in step S2 also introduces a reference standard vehicle correction model, and the expression of the reference standard vehicle correction model is: ; Where M is the corrected fixed reference standard vehicle weight, Indicates the gross vehicle and cargo weight benchmark value of a fixed reference standard vehicle. Indicates fuel consumption, Represents the change in driver weight. During testing using a fixed reference vehicle, the reference weight of the fixed reference vehicle is recalculated using the reference vehicle correction model described above. The fuel consumption value is estimated based on its driving path, and the driver weight change is recalculated when the driver is changed.

5. The method for intelligent measurement and supervision of highway traffic overload control detection equipment according to claim 1 is characterized in that: The selection condition of the temporary reference standard vehicle also includes: its driving path includes at least two stations.

6. A smart metering and monitoring device for highway traffic overload control detection equipment, characterized in that: It includes a reference standard equipment setting module, a fixed reference standard vehicle setting module, a temporary reference equipment group setting module, a temporary reference standard vehicle setting module and a cross detection module; The reference standard device setting module is used to set the reference standard device, and use the pre-selected device that passes the assessment standard as the reference standard device; The fixed reference standard vehicle setting module is used to set up a fixed reference standard vehicle, use the standard vehicle provided by the metrology agency as the fixed reference standard vehicle, and make it pass the reference standard equipment and drive normally along the preset route so as to perform inspection operations on all the equipment to be inspected; The temporary reference device group setting module is used to set up a temporary reference device group, select n devices to be inspected, let the fixed reference standard vehicle pass through the n devices to be inspected, inspect the n devices to be inspected, and select the devices with qualified test results as the temporary reference device group; The temporary reference standard vehicle setting module is used to set a temporary reference standard vehicle and capture m social vehicles that have passed through the temporary reference equipment group and the reference standard equipment as temporary reference standard vehicles; The cross-detection module is used to monitor other equipment to be inspected that the temporary reference standard vehicle passes by in real time, upload the monitored data to the background, and the background performs a cross-comparison. If an out-of-tolerance situation is detected in the equipment, the equipment is defined as a suspect device, and the driving route of the fixed reference standard vehicle is dynamically adjusted according to the location of the suspect device, so that the suspect device is inspected first. The equipment to be inspected or the suspect device that the fixed reference standard vehicle passes by is inspected, and the data of the out-of-tolerance equipment detected by the fixed reference standard vehicle is uploaded to the background, which provides a diagnosis result of suspension for repair or pending inspection. The cross detection module specifically includes: The real-time detection module is used to monitor other devices to be inspected that the temporary reference standard vehicle passes by in real time, and upload the monitored data to the backend for cross-comparison. If any device is detected to be out of tolerance, the backend will further determine whether the corresponding temporary reference vehicle has abnormal driving behavior. If so, an alarm will be issued for the abnormal vehicle behavior. Otherwise, the current device to be inspected will be defined as a suspicious device and the suspicious device data will be uploaded to the backend. The dynamic route adjustment module is used to dynamically adjust the fixed reference standard vehicle's route based on the location of suspicious devices through the background, setting a higher inspection priority for suspicious devices so that suspicious devices can be detected in advance when the fixed reference standard vehicle's route changes; The statutory inspection module is used to make the fixed reference standard vehicle travel according to the preset route, inspect the equipment to be inspected or the equipment in question that the fixed reference standard vehicle passes by, and upload the data of the out-of-tolerance equipment detected by the fixed reference standard vehicle to the background. The background further determines whether the out-of-tolerance situation is caused by equipment failure based on the preset fault judgment method. If so, a diagnosis result of suspension and pending repair is issued to the site; otherwise, a diagnosis result of pending inspection is issued to the site.

7. The intelligent metering and monitoring device for highway traffic overload control detection equipment according to claim 6 is characterized by: The reference standard device setting module is further provided with a reference standard device correction model for adjusting the indication of the reference standard device according to the indication of environmental changes. The reference standard device correction model is expressed as: ; In the formula It represents the dynamic truck scale indication after correction, I represents the dynamic truck scale indication before correction, represents the temperature effect model, represents the impact model of usage frequency, The influence model representing the time from the last calibration is obtained through experiments and expressed in the form of a formula or table; The fixed reference standard vehicle setting module also introduces a reference standard vehicle correction model for adjusting the reference weight of the fixed reference standard vehicle in real time. The expression of the reference standard vehicle correction model is: ; Where M is the corrected fixed reference standard vehicle weight, Indicates the gross vehicle and cargo weight benchmark value of a fixed reference standard vehicle. Indicates fuel consumption, Indicates the change in driver weight. During testing using a fixed reference vehicle, where fuel consumption is estimated based on the driving path, the driver weight change is recalculated when a driver is changed.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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