A system and method for monitoring cheating behavior based on overweight truck control

Abstract

The present invention relates to the technical field of truck overweight control, and specifically to a cheating behavior monitoring system and method based on truck overweight control, comprising: a control terminal, a capture layer, an evaluation layer and a determination layer; the control terminal is the main control end of the system, and is used to issue execution commands to control the start and stop of the system; the capture layer in the dynamic weighing area of ​​the truck captures the surrounding electromagnetic signals in real time, synchronously collects the truck license plate information, and binds and stores the electromagnetic signals and the synchronously collected truck license plate information. The present invention evaluates the validity of the truck weighing results by capturing, analyzing and comparing the electromagnetic signals in the truck weighing area, and then adaptively applies dynamic weighing equipment and static weighing equipment to perform intelligent weighing on the truck based on the evaluation results, so that the weighing results of the dynamic weighing equipment and the static weighing equipment can be used as references for each other, ensuring that cheating behaviors that use interfering magnetic fields to affect the weighing results of the dynamic weighing equipment can be captured based on this technical solution.

Description

Technical Field

[0001] The present invention relates to the technical field of overweight truck control, and in particular to a cheating behavior monitoring system and method based on overweight truck control. Background Art

[0002] At present, there are often some cheating behaviors in the scene of truck overweight control, such as installing a "hydraulic jack" device to lift the car body to reduce weight when passing through the inspection station; there are also cheating behaviors such as using jammers to interfere with the detection results of weighing equipment.

[0003] The invention patent with application number 201910302135.6 discloses an intelligent dynamic weighing system for highway trucks, which is characterized by including: a camera, a dynamic weighing sensor group, a light curtain sensor, a cabinet, a voice device, an LED display and an Internet of Things transmission end; the camera includes two license plate recognition cameras, which are respectively installed at the front and rear of the island platform arranged along the road direction; the camera and the dynamic weighing sensor group, the light curtain, the voice device, and the LED display are respectively connected to the input end of the industrial computer in the cabinet, and the output end of the industrial computer in the cabinet is connected to the Internet of Things transmission end; the camera collects the front and rear license plate information of the truck; the dynamic weighing sensor group senses the vehicle weight information; the light curtain sensor arranges multiple photoelectric sensors at equal distances on the transmitter and receiver, and the generated The measuring light forms a curtain wall in the measurement area. After scanning the outer contour of the truck to obtain the cross-sectional dimensions, the light curtain programmable controller is connected to the controller in the cabinet through the serial port, so that the arrival of the vehicle can be detected and the length and width of the truck can be obtained: the voice equipment and LED display screen broadcast and display the truck's license plate, model and weighing information in real time: the Internet of Things transmission end uploads the truck's license plate, model and weighing information to the cloud data server of the highway management department: the dynamic weighing sensor group adopts a four-row laying scheme of eight piezoelectric quartz sensors, and each row consists of two piezoelectric quartz sensors laid along the road direction and connected in series; the distance between each row of piezoelectric quartz sensors is 0.45m, and the length of each piezoelectric quartz sensor is 2m; the distance between the light curtain and the first row of piezoelectric quartz sensors is 0.5m.

[0004] The application aims to solve the problem that "70% of highway traffic accidents are caused by overloaded trucks, and 50% of major road traffic accidents with multiple deaths and injuries are directly related to overloading. Therefore, overloaded truck transportation seriously endangers the safety of life and property of the country and the people, and causes huge losses to people's lives and property."

[0005] However, the current field of truck overload control technology often focuses on the research and development of sophisticated weighing equipment to address the problem of truck overloading. There is no special technology to regulate the cheating behavior of trucks to avoid weighing.

[0006] To this end, we proposed a cheating behavior monitoring system based on truck overload control. Summary of the Invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a system and method for monitoring cheating behavior based on overweight truck control, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] In the first aspect, a cheating behavior monitoring system based on overweight truck control includes: a control terminal, a capture layer, an evaluation layer, and a determination layer;

[0010] The control terminal is the main control terminal of the system, used to issue execution commands and control the system start and stop;

[0011] The capture layer in the truck dynamic weighing area captures the surrounding electromagnetic signals in real time, synchronously collects the truck license plate information, binds and stores the electromagnetic signals and the synchronously collected truck license plate information, and the evaluation layer receives the electromagnetic signals stored in the capture layer and the corresponding bound truck license plate information in real time. Based on the received electromagnetic signals, it evaluates whether the truck dynamic weighing equipment is subject to interference risk. The judgment layer synchronously receives the truck dynamic weighing equipment interference risk assessment result in the evaluation layer, determines whether the truck weighing result is valid based on the assessment result, and further decides whether to use the truck static weighing area to re-weigh the truck based on the judgment result;

[0012] The evaluation layer includes a receiving module, an evaluation module and an identification module. The receiving module is used to receive the electromagnetic signals and truck license plate information stored in the capture layer. The evaluation module is used to traverse the electromagnetic signals received by the receiving module and evaluate the risk of interference with the dynamic weighing equipment of the truck based on the electromagnetic signals. The identification module is used to identify different electromagnetic signals in the electromagnetic signals.

[0013] The risk assessment logic of electromagnetic signal interference to truck dynamic weighing equipment in the assessment module is expressed as follows:

[0014]

[0015] Where: k is the risk value of the truck dynamic weighing equipment being interfered with; n and m are the electromagnetic signal sets; sim(P x ,P y ) is the similarity between the electromagnetic signals of the xth group and the electromagnetic signals of the yth group; qn∩m is the number of electromagnetic signals in the intersection of the two sets of electromagnetic signal sets; q n∪m is the number of electromagnetic signals in the union of the two sets of electromagnetic signal sets; p is the cumulative number of overweight trucks in the overweight truck records; t is the shortest capture time interval between the two sets of electromagnetic signal sets; γ is the impact factor;

[0016] Among them, the larger the risk value k of the truck dynamic weighing equipment being interfered with, the lower the risk of the truck dynamic weighing equipment being interfered with. Conversely, the higher the risk of the truck dynamic weighing equipment being interfered with, Where u represents the set of nodes in the electromagnetic signal, (P x ) v 、(P y ) v The vector representing the vth node in electromagnetic signal x and electromagnetic signal y.

[0017] Furthermore, the truck dynamic weighing area and the truck static weighing area are respectively deployed with truck dynamic weighing equipment and truck static weighing equipment. The truck dynamic weighing area and the truck static weighing area are deployed at the exit and entrance of the weight-restricted section. When a truck enters the weight-restricted section, the truck dynamic weighing area is used to weigh the truck. When the truck leaves the weight-restricted section, the truck is released or weighed again based on the decision result of the judgment layer.

[0018] Among them, after the truck is weighed in the dynamic weighing area, the truck dynamic weighing equipment transmits the weighing result to the truck overweight control management background via radio signals. The truck overweight control management background determines whether the truck is overweight based on the weighing result and the preset overweight judgment threshold. After the truck static weighing equipment in the truck static weighing area weighs the truck, the highway management staff reads the truck weighing result on the display screen equipped with the truck static weighing equipment;

[0019] The truck overload control management backend is any computer or mobile computer with a display function.

[0020] Furthermore, the capture layer includes a capture module, an extraction module and a storage module. The capture module includes a field strength meter and a camera module. The capture module is used to control the operation of the field strength meter and the camera module. The field strength meter is used to monitor the electromagnetic signals generated in real time in the dynamic weighing area of ​​the truck. The camera module is used to collect the truck license plate information. The extraction module is used to receive the truck license plate information collected by the camera module in the capture module and extract the truck license plate number from the truck license plate information. The storage module is used to receive the electromagnetic signals generated in real time by the field strength meter and the camera module in the capture module when monitoring the dynamic weighing area of ​​the truck and the truck license plate information extracted in the extraction module, and store the electromagnetic signals and the truck license plate information.

[0021] When the system is first run, the first truck entering the entrance of the weight-restricted section will be weighed in the dynamic weighing area and the static weighing area. If the two weighing results are consistent, the storage module will perform the operation of storing the electromagnetic signal and the truck's license plate information. If the two weighing results are inconsistent, the weighing result in the static weighing area will be used as the basis for determining whether the truck is overweight.

[0022] Among them, the weighing equipment in the dynamic weighing area and the static weighing area of ​​the truck are equipped with overweight judgment values. The overweight judgment value is compared with the weighing result to determine whether the truck is overweight; when the system runs for the first time and performs the consistency judgment of two weighing results, an error tolerance threshold is set simultaneously, so that the two weighing results whose difference is within the error tolerance threshold are judged to be consistent.

[0023] Furthermore, the camera module collects the truck license plate information, i.e., the truck license plate image, and the extraction module extracts the truck license plate number from the truck license plate information after receiving the truck license plate information, i.e.:

[0024] Recognizing a truck license plate image, extracting a contour image from the truck license plate image, and further extracting digital information from the contour image;

[0025] The extraction operation of the contour image in the truck license plate image obeys:

[0026]

[0027] Where: q is the judgment value; f(·) is the judgment function; R i , G i 、B i is the value of pixel i in the truck license plate image based on the three color channels; is the contour determination threshold;

[0028] In the above formula, (·) represents Based on the above formula, the judgment value of each pixel in the truck license plate image is obtained and judged, so that the pixel whose judgment value is 1 based on the limit value of formula (2) is judged as a pixel in the contour image. Based on the determination of the pixels in the contour image, the contour image is determined. After the contour image is determined, the truck license plate number is extracted from the contour image based on the OCR algorithm. After the truck license plate number is extracted, it is synchronously forwarded to the storage module, and the truck license plate information bound to the corresponding electromagnetic signal is iterated.

[0029] Furthermore, during the operation phase of the receiving module, the electromagnetic signal and the truck license plate information received are from the storage module in the capture layer. When the receiving module receives the electromagnetic signal and the truck license plate information, the truck license plate information received is the two groups and all electromagnetic signals bound to the two groups of truck license plate information, which are recorded as two sets of electromagnetic signal sets.

[0030] When assessing the risk of interference to the truck's dynamic weighing equipment, the assessment module uses two sets of electromagnetic signal sets to perform an assessment operation. The recognition module performs an operation to identify the difference electromagnetic signals in the electromagnetic signals, that is, to identify the electromagnetic signals included in the subsequent capture electromagnetic signal set but not included in the previous capture electromagnetic signal set.

[0031] The electromagnetic signal is represented in the form of a spectrum diagram.

[0032] Furthermore, the value of the impact factor γ obeys:

[0033] Two sets of speed measuring devices are installed at the weighing areas at the exit and entrance of the weight-restricted section. The two sets of speed measuring devices are used to detect the speed of trucks before and after passing through the weighing area. The difference between the two sets of detected speeds is calculated. The smaller the difference, the smaller the value of the impact factor γ. Conversely, the larger the value of the impact factor;

[0034] Among them, the impact factor γ∈(0.5, 1.5).

[0035] Furthermore, the determination layer includes a first determination module, a second determination module, and a decision module. The first determination module is used to receive the risk value of the truck dynamic weighing equipment being interfered with as assessed in the assessment layer, set a threshold for determining the validity of the truck weighing result, and compare the threshold for determining the validity of the truck weighing result with the risk value of the truck dynamic weighing equipment being interfered with to determine whether the truck dynamic weighing result is valid. The second determination module is used to receive the difference electromagnetic signal identified in the assessment layer, analyze whether there is an interference electromagnetic signal in the difference electromagnetic signal, and determine whether the truck dynamic weighing result is valid based on the analysis result. The decision module is used to receive the determination results of the first determination module and the second determination module, and decide whether to use the truck static weighing area at the exit of the weight-restricted section to re-weigh the truck based on the determination result.

[0036] During the decision module operation phase, when the determination results of both the first determination module and the second determination module are valid, the weight-restricted road section exit will release the truck with the determination results; when any one of the determination results of the first determination module and the second determination module is invalid, the weight-restricted road section exit will re-weigh the truck with the determination results in the truck static weighing area at the weight-restricted road section exit;

[0037] Among them, the weighing equipment at the exit of the weight-restricted section performs wireless data interaction with the weighing equipment at the entrance of the weight-restricted section in real time. The content of the wireless data interaction is: when the judgment result is invalid, the truck dynamic weighing equipment is obtained to obtain the truck license plate number bound to the electromagnetic signal set applied to the interference risk value k. The weighing equipment at the exit of the weight-restricted section determines the trucks that need to be re-weighed and verified based on the truck license plate information collected by the camera module.

[0038] Furthermore, the logic of analyzing whether there is an interference electromagnetic signal in the difference electromagnetic signal in the second determination module is expressed as follows:

[0039]

[0040] Where: δ is the frequency judgment value; C is the set of difference electromagnetic signals; f(·) is the judgment function; fmin With f max Two sets of end values ​​of the allowable electromagnetic interference frequency range customized by the system end user; f a is the frequency of the difference electromagnetic signal a; I MAX is the maximum electromagnetic signal strength in the set of difference electromagnetic signals; I threshold The maximum allowable electromagnetic interference intensity customized by the system end user;

[0041] Among them, f in the judgment function f(·) min ≤f a ≤f max When it is established, f(·)=0, and the f in the judgment function f(·) min ≤f a ≤f max When it does not hold, f(·)=1, the frequency judgment value δ in formula (1) in the above formula is 0, and formula (2) does not hold, which means that there is no interference electromagnetic signal in the difference electromagnetic signal, indicating that the dynamic weighing result of the truck is valid; on the contrary, any of the cases indicates that there is an interference electromagnetic signal in the difference electromagnetic signal. When there is an interference electromagnetic signal in the difference electromagnetic signal, it means that the dynamic weighing result of the truck is invalid.

[0042] Furthermore, the control terminal is interactively connected to a capture module via a wireless network, the capture module is interactively connected to a field strength meter and a camera module via a wireless network, the capture module is interactively connected to an extraction module and a storage module via a wireless network, the storage module is interactively connected to a receiving module via a wireless network, the receiving module is interactively connected to an evaluation module and an identification module via a wireless network, the identification module is interactively connected to a first determination module via a wireless network, and the first determination module is interactively connected to a second determination module and a decision module via a wireless network.

[0043] In a second aspect, a method for monitoring cheating behavior based on overweight truck control includes the following steps:

[0044] Real-time capture of electromagnetic signals in the dynamic weighing area of ​​trucks at the entrance of weight-restricted sections, collection of license plate images of trucks entering the weight-restricted sections, and extraction of the truck license plate numbers from the license plate images;

[0045] Setting and applying the logic for extracting truck license plate numbers;

[0046] The static weighing equipment for trucks at the entrance of the weight-restricted road section is used to weigh the trucks entering the weight-restricted road section again, and an overweight threshold is set. When the static weighing result is less than the overweight threshold, the truck license plate number is bound to the captured electromagnetic signal and stored;

[0047] When a truck enters the weight-restricted section again, the truck dynamic weighing area will be used to dynamically weigh the truck, synchronously capture the electromagnetic signal, collect the truck license plate image and extract the license plate number, and then execute the storage of the truck license plate number and the captured electromagnetic signal;

[0048] Retrieve two sets of electromagnetic signal sets corresponding to trucks that successively enter a weight-restricted section of road. Use these two sets of electromagnetic signal sets to assess the risk of interference to the truck's dynamic weighing equipment and identify the difference in electromagnetic signals between the two sets of electromagnetic signal sets.

[0049] Setting and application of interference risk logic;

[0050] Set the validity judgment logic for truck dynamic weighing results, obtain the risk assessment results of the truck dynamic weighing equipment being interfered with, and determine the validity of the truck dynamic weighing equipment weighing results based on the validity judgment logic;

[0051] If the dynamic weighing result of a truck is determined to be valid, the truck will be released at the exit of the weight-restricted section. If the dynamic weighing result of a truck is determined to be invalid, the truck will be weighed and verified again at the exit of the weight-restricted section using static weighing equipment.

[0052] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0053] Beneficial effects:

[0054] The present invention provides a system and method for monitoring cheating behavior based on overweight truck control. In the technical solution, during operation, the system mainly evaluates the validity of the truck weighing results by capturing, analyzing and comparing electromagnetic signals in the truck weighing area. Based on the evaluation results, dynamic weighing equipment and static weighing equipment are adaptively applied to intelligently weigh the truck, so that the weighing results of the dynamic weighing equipment and the static weighing equipment can serve as a reference for each other, ensuring that cheating behavior that uses interfering magnetic fields to affect the weighing results of the dynamic weighing equipment can be captured based on the technical solution, so as to prevent overweight trucks from increasing the risk of road transportation. In addition, the execution of a method for monitoring cheating behavior based on overweight truck control provides further operation logic support for the above-mentioned system, ensuring that the technical solution composed of the above-mentioned system and method can more stably, effectively and reliably monitor cheating behavior in overweight truck control. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0056] Figure 1 This is a structural diagram of a cheating behavior monitoring system based on overweight truck control;

[0057] Figure 2 The figure is a flowchart of a method for monitoring cheating behavior based on overweight truck control;

[0058] Figure 3 This is a schematic diagram showing the distribution of hardware supporting the system in the present invention;

[0059] Figure 4 This is a logic block diagram of the technical solution in the present invention. DETAILED DESCRIPTION

[0060] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0061] The present invention will be further described below with reference to the embodiments.

[0062] Example 1:

[0063] This embodiment is a cheating behavior monitoring system based on truck overload control, such as Figure 1 As shown, it includes: control terminal, capture layer, evaluation layer and decision layer;

[0064] The control terminal is the main control terminal of the system, used to issue execution commands and control the system start and stop;

[0065] The capture layer in the truck dynamic weighing area captures the surrounding electromagnetic signals in real time, synchronously collects the truck license plate information, binds and stores the electromagnetic signals and the synchronously collected truck license plate information, and the evaluation layer receives the electromagnetic signals stored in the capture layer and the corresponding bound truck license plate information in real time. Based on the received electromagnetic signals, it evaluates whether the truck dynamic weighing equipment is subject to interference risk. The judgment layer synchronously receives the truck dynamic weighing equipment interference risk assessment result in the evaluation layer, determines whether the truck weighing result is valid based on the assessment result, and further decides whether to use the truck static weighing area to re-weigh the truck based on the judgment result;

[0066] The capture layer includes a capture module, an extraction module and a storage module. The capture module includes a field strength meter and a camera module. The capture module is used to control the operation of the field strength meter and the camera module. The field strength meter is used to monitor the electromagnetic signals generated in real time in the dynamic weighing area of ​​the truck. The camera module is used to collect the truck license plate information. The extraction module is used to receive the truck license plate information collected by the camera module in the capture module and extract the truck license plate number from the truck license plate information. The storage module is used to receive the electromagnetic signals generated in real time by the field strength meter and the camera module in the capture module when monitoring the dynamic weighing area of ​​the truck and the truck license plate information extracted in the extraction module, and store the electromagnetic signals and the truck license plate information.

[0067] When the system is first run, the first truck entering the entrance of the weight-restricted section will be weighed in the dynamic weighing area and the static weighing area. If the two weighing results are consistent, the storage module will perform the operation of storing the electromagnetic signal and the truck's license plate information. If the two weighing results are inconsistent, the weighing result in the static weighing area will be used as the basis for determining whether the truck is overweight.

[0068] Among them, the weighing equipment in the dynamic weighing area and the static weighing area of ​​the truck are equipped with overweight judgment values. Based on the overweight judgment value and the weighing result, it is determined whether the truck is overweight. When the system is first run and performs consistency judgment on two weighing results, an error tolerance threshold is set synchronously. If the difference between the two weighing results is within the error tolerance threshold, the two weighing results are judged to be consistent.

[0069] The evaluation layer includes a receiving module, an evaluation module, and an identification module. The receiving module is used to receive the electromagnetic signals and truck license plate information stored in the capture layer. The evaluation module is used to traverse the electromagnetic signals received by the receiving module and evaluate the risk of interference to the truck dynamic weighing equipment based on the electromagnetic signals. The identification module is used to identify different electromagnetic signals in the electromagnetic signals.

[0070] The risk assessment logic of electromagnetic signal interference to truck dynamic weighing equipment in the assessment module is expressed as follows:

[0071]

[0072] Where: k is the risk value of the truck dynamic weighing equipment being interfered with; n and m are the electromagnetic signal sets; sim(P x ,P y ) is the similarity between the electromagnetic signals of the xth group and the electromagnetic signals of the yth group; qn∩m is the number of electromagnetic signals in the intersection of the two sets of electromagnetic signal sets; q n∪m is the number of electromagnetic signals in the union of the two sets of electromagnetic signal sets; p is the cumulative number of overweight trucks in the overweight truck records; t is the shortest capture time interval between the two sets of electromagnetic signal sets; γ is the impact factor;

[0073] Among them, the larger the risk value k of the truck dynamic weighing equipment being interfered with, the lower the risk of the truck dynamic weighing equipment being interfered with. Conversely, the higher the risk of the truck dynamic weighing equipment being interfered with, Where u represents the set of nodes in the electromagnetic signal, (P x ) v 、(P y ) v The vector representing the vth node in the electromagnetic signal x and the electromagnetic signal y;

[0074] The determination layer includes a first determination module, a second determination module, and a decision module. The first determination module is used to receive the risk value of the truck dynamic weighing equipment being interfered with as assessed in the assessment layer, set a threshold for determining the validity of the truck weighing result, and compare the threshold for determining the validity of the truck weighing result with the risk value of the truck dynamic weighing equipment being interfered with to determine whether the truck dynamic weighing result is valid. The second determination module is used to receive the difference electromagnetic signal identified in the assessment layer, analyze whether there is an interference electromagnetic signal in the difference electromagnetic signal, and determine whether the truck dynamic weighing result is valid based on the analysis result. The decision module is used to receive the determination results of the first determination module and the second determination module, and decide whether to use the truck static weighing area at the exit of the weight-restricted section to re-weigh the truck based on the determination result.

[0075] During the decision module operation phase, when the determination results of both the first determination module and the second determination module are valid, the weight-restricted road section exit will release the truck with the determination results; when any one of the determination results of the first determination module and the second determination module is invalid, the weight-restricted road section exit will re-weigh the truck with the determination results in the truck static weighing area at the weight-restricted road section exit;

[0076] The weighing equipment at the exit of the weight-restricted section exchanges wireless data with the weighing equipment at the entrance of the weight-restricted section in real time. The wireless data exchange involves: when the judgment result is invalid, the truck's license plate number is bound to the electromagnetic signal set applied to the truck's dynamic weighing equipment, and the interference risk value k is calculated. The weighing equipment at the exit of the weight-restricted section determines the trucks that need to be re-weighed based on the truck license plate information collected by the camera module;

[0077] The control terminal is interactively connected to the capture module through a wireless network, the capture module is interactively connected to the field strength meter and the camera module through a wireless network, the capture module is interactively connected to the extraction module and the storage module through a wireless network, the storage module is interactively connected to the receiving module through a wireless network, the receiving module is interactively connected to the evaluation module and the identification module through a wireless network, the identification module is interactively connected to the first determination module through a wireless network, and the first determination module is interactively connected to the second determination module and the decision module through a wireless network.

[0078] In this embodiment, the control terminal controls the operation of the control system, the capture module controls the operation of the field strength meter and the camera module, the field strength meter monitors the electromagnetic signals generated in real time in the dynamic weighing area of ​​the truck, the camera module synchronously collects the truck license plate information, the extraction module is post-operated to receive the truck license plate information collected by the camera module in the capture module, and the truck license plate number is extracted from the truck license plate information. The storage module further receives the electromagnetic signals generated in real time by the field strength meter and the camera module in the capture module and the truck license plate information extracted in the extraction module, stores the electromagnetic signals and the truck license plate information, and then the receiving module operates to receive the electromagnetic signals and the truck license plate information stored in the capture layer. The evaluation module synchronously traverses the electromagnetic signals received in the receiving module, and evaluates the dynamic weighing of the truck based on the electromagnetic signals. The risk of weighing equipment being interfered with, the identification module runs to identify the difference electromagnetic signals in the electromagnetic signals, and finally receives the risk value of the truck dynamic weighing equipment being interfered with evaluated in the evaluation layer through the first judgment module, sets the effective judgment threshold of the truck weighing result, and compares the effective judgment threshold of the truck weighing result with the risk value of the truck dynamic weighing equipment being interfered with to determine whether the truck dynamic weighing result is valid. The second judgment module further receives the difference electromagnetic signals identified in the evaluation layer, analyzes whether there is an interference electromagnetic signal in the difference electromagnetic signals, and determines whether the truck dynamic weighing result is valid based on the analysis result. The decision module runs to receive the judgment results of the first judgment module and the second judgment module, and decides whether to use the truck static weighing area at the exit of the weight-restricted section to re-weigh the truck based on the judgment result.

[0079] The system in the above embodiment captures, analyzes, and compares electromagnetic signals in the truck weighing area to evaluate the validity of the truck weighing results. Based on the evaluation results, the dynamic weighing device and the static weighing device are adaptively applied to perform intelligent weighing of the truck, so that the weighing results of the dynamic weighing device and the static weighing device can serve as a reference for each other, ensuring that cheating behaviors that use interfering magnetic fields to affect the weighing results of the dynamic weighing device can be captured based on this technical solution.

[0080] See also Figure 3 As shown, this figure further illustrates the distribution relationship of the system supporting hardware in the above embodiment, and shows the specific implementation scenario of the system in the above embodiment;

[0081] See also Figure 4 As shown, based on the text in the black box and the arrow indications in the figure, the operating logic of the system in the above embodiment 1 is further concisely displayed, which assists the system in the above embodiment in the specific implementation stage, so that users who implement the system can better understand the operating logic of the system.

[0082] It should be noted that during the continuous operation of the system, if the truck was not determined to be overloaded last time, the electromagnetic signal of the truck captured last time can be used as the front captured electromagnetic signal set in the two sets of electromagnetic signal sets used when the system runs next time. If the truck was determined to be overloaded last time, the front captured electromagnetic signal set in the two sets of electromagnetic signal sets used when the system runs next time will still be the original front captured electromagnetic signal set.

[0083] Example 2:

[0084] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The cheating behavior monitoring system based on overweight truck control in Example 1 is further described in detail:

[0085] Truck dynamic weighing areas and truck static weighing areas are respectively deployed with truck dynamic weighing equipment and truck static weighing equipment. Truck dynamic weighing areas and truck static weighing areas are deployed at the exit and entrance of weight-restricted sections. When a truck enters a weight-restricted section, it is weighed in the truck dynamic weighing area. When a truck leaves a weight-restricted section, it is released or weighed again based on the decision result of the judgment layer.

[0086] Among them, after the truck is weighed in the dynamic weighing area, the truck dynamic weighing equipment transmits the weighing result to the truck overweight control management background via radio signals. The truck overweight control management background determines whether the truck is overweight based on the weighing result and the preset overweight judgment threshold. After the truck static weighing equipment in the truck static weighing area weighs the truck, the highway management staff reads the truck weighing result on the display screen equipped with the truck static weighing equipment;

[0087] The truck overload control management backend is any computer or mobile computer with display function.

[0088] Through the above settings, combined with Figure 3 As shown, the hardware facilities for implementing the system in Example 1 are further presented with examples and limitations on the distribution locations.

[0089] like Figure 1 As shown, the truck license plate information collected by the camera module is the truck license plate image. The extraction module extracts the truck license plate number from the truck license plate information after receiving the truck license plate information, namely:

[0090] Recognizing a truck license plate image, extracting a contour image from the truck license plate image, and further extracting digital information from the contour image;

[0091] The extraction operation of the contour image in the truck license plate image follows:

[0092]

[0093] Where: q is the judgment value; f(·) is the judgment function; R i , G i 、B i is the value of pixel i in the truck license plate image based on the three color channels; is the contour determination threshold;

[0094] In the above formula, (·) represents Based on the above formula, the judgment value of each pixel in the truck license plate image is obtained and judged, so that the pixel whose judgment value is 1 based on the limit value of formula (2) is judged as a pixel in the contour image. Based on the determination of the pixels in the contour image, the contour image is determined. After the contour image is determined, the truck license plate number is extracted from the contour image based on the OCR algorithm. After the truck license plate number is extracted, it is synchronously forwarded to the storage module, and the truck license plate information bound to the corresponding electromagnetic signal is iterated.

[0095] Through the above logic formula, the extraction operation of the contour image in the truck license plate image is limited to the specified extraction logic.

[0096] Example 3:

[0097] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The cheating behavior monitoring system based on overweight truck control in Example 1 is further described in detail:

[0098] During the operation phase of the receiving module, the electromagnetic signals and truck license plate information received are from the storage module in the capture layer. When the receiving module receives the electromagnetic signals and truck license plate information, the truck license plate information received is the two groups and all electromagnetic signals bound to the two groups of truck license plate information, which are recorded as two sets of electromagnetic signal sets.

[0099] When assessing the risk of interference to the truck's dynamic weighing equipment, the assessment module uses two sets of electromagnetic signal sets to perform an assessment operation. The recognition module performs an operation to identify the difference electromagnetic signals in the electromagnetic signals, that is, to identify the electromagnetic signals included in the subsequent capture electromagnetic signal set but not included in the previous capture electromagnetic signal set.

[0100] Among them, the electromagnetic signal is represented in the form of a spectrum diagram;

[0101] The value of the impact factor γ follows:

[0102] Two sets of speed measuring devices are installed at the weighing areas at the exit and entrance of the weight-restricted section. The two sets of speed measuring devices are used to detect the speed of trucks before and after passing through the weighing area. The difference between the two sets of detected speeds is calculated. The smaller the difference, the smaller the value of the impact factor γ. Conversely, the larger the value of the impact factor;

[0103] Among them, the impact factor γ∈(0.5, 1.5).

[0104] like Figure 1 As shown, the logic of analyzing whether there is an interference electromagnetic signal in the difference electromagnetic signal in the second determination module is expressed as:

[0105]

[0106] Where: δ is the frequency judgment value; C is the set of difference electromagnetic signals; f(·) is the judgment function; f min With f max Two sets of end values ​​of the allowable electromagnetic interference frequency range customized by the system end user; f a is the frequency of the difference electromagnetic signal a; I MAX is the maximum electromagnetic signal strength in the set of difference electromagnetic signals; I threshold The maximum allowable electromagnetic interference intensity customized by the system end user;

[0107] Among them, f in the judgment function f(·) min ≤f a ≤f max When it is established, f(·)=0, and the f in the judgment function f(·) min ≤f a ≤f max When it does not hold, f(·)=1, the frequency judgment value δ in formula (1) in the above formula is 0, and formula (2) does not hold, which means that there is no interference electromagnetic signal in the difference electromagnetic signal, indicating that the dynamic weighing result of the truck is valid; on the contrary, any of the cases indicates that there is an interference electromagnetic signal in the difference electromagnetic signal. When there is an interference electromagnetic signal in the difference electromagnetic signal, it means that the dynamic weighing result of the truck is invalid.

[0108] In this embodiment, the above-mentioned settings provide further operating logic support for the system in Example 1, and limit the logic of analyzing whether there is an interference electromagnetic signal in the difference electromagnetic signal in the second judgment module in the system judgment layer, so that the system judgment layer can operate stably and output the final judgment result, and make decisions and judgments on whether the truck is overloaded and whether to perform re-weighing verification.

[0109] Example 4:

[0110] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The cheating behavior monitoring system based on overweight truck control in Example 1 is further described in detail:

[0111] A method for monitoring cheating behavior based on overweight truck control includes the following steps:

[0112] Real-time capture of electromagnetic signals in the dynamic weighing area of ​​trucks at the entrance of weight-restricted sections, collection of license plate images of trucks entering the weight-restricted sections, and extraction of the truck license plate numbers from the license plate images;

[0113] Setting and applying the logic for extracting truck license plate numbers;

[0114] The static weighing equipment for trucks at the entrance of the weight-restricted road section is used to weigh the trucks entering the weight-restricted road section again, and an overweight threshold is set. When the static weighing result is less than the overweight threshold, the truck license plate number is bound to the captured electromagnetic signal and stored;

[0115] When a truck enters the weight-restricted section again, the truck dynamic weighing area will be used to dynamically weigh the truck, synchronously capture the electromagnetic signal, collect the truck license plate image and extract the license plate number, and then execute the storage of the truck license plate number and the captured electromagnetic signal;

[0116] Retrieve two sets of electromagnetic signal sets corresponding to trucks that successively enter a weight-restricted section of road. Use these two sets of electromagnetic signal sets to assess the risk of interference to the truck's dynamic weighing equipment and identify the difference in electromagnetic signals between the two sets of electromagnetic signal sets.

[0117] Setting and application of interference risk logic;

[0118] Set the validity judgment logic for truck dynamic weighing results, obtain the risk assessment results of the truck dynamic weighing equipment being interfered with, and determine the validity of the truck dynamic weighing equipment weighing results based on the validity judgment logic;

[0119] If the dynamic weighing result of a truck is determined to be valid, the truck will be released at the exit of the weight-restricted section. If the dynamic weighing result of a truck is determined to be invalid, the truck will be weighed and verified again at the exit of the weight-restricted section using static weighing equipment.

[0120] In summary, during operation, the system in the technical solution in the above embodiment mainly evaluates the validity of the truck weighing results by capturing, analyzing and comparing the electromagnetic signals in the truck weighing area. Based on the evaluation results, the dynamic weighing equipment and the static weighing equipment are adaptively applied to perform intelligent weighing of the truck, so that the weighing results of the dynamic weighing equipment and the static weighing equipment can be used as a reference for each other, ensuring that cheating behaviors that use interfering magnetic fields to affect the weighing results of the dynamic weighing equipment can be captured based on this technical solution, so as to prevent overweight trucks from increasing the risk of road transportation.

[0121] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A cheating behavior monitoring system based on overweight truck control, characterized in that: include: Control terminal, capture layer, evaluation layer and decision layer; The control terminal is the main control terminal of the system, used to issue execution commands and control the system start and stop; The capture layer in the truck dynamic weighing area captures the surrounding electromagnetic signals in real time, synchronously collects the truck license plate information, binds and stores the electromagnetic signals and the synchronously collected truck license plate information, and the evaluation layer receives the electromagnetic signals stored in the capture layer and the corresponding bound truck license plate information in real time, and evaluates the risk of interference with the truck dynamic weighing equipment based on the received electromagnetic signals. The judgment layer synchronously receives the risk assessment result of the truck dynamic weighing equipment interference in the evaluation layer, and determines whether the truck weighing result is valid based on the assessment result, and further decides whether to use the truck static weighing area to re-weigh the truck based on the judgment result; The evaluation layer includes a receiving module, an evaluation module and an identification module. The receiving module is used to receive the electromagnetic signals and truck license plate information stored in the capture layer. The evaluation module is used to traverse the electromagnetic signals received by the receiving module and evaluate the risk of interference with the dynamic weighing equipment of the truck based on the electromagnetic signals. The identification module is used to identify different electromagnetic signals in the electromagnetic signals. The risk assessment logic of electromagnetic signal interference to truck dynamic weighing equipment in the assessment module is expressed as follows: Where: k is the risk value of the truck dynamic weighing equipment being interfered with; n and m are the electromagnetic signal sets; sim(P x ,P y ) is the similarity between the electromagnetic signals of the xth group and the electromagnetic signals of the yth group; q n∩m is the number of electromagnetic signals in the intersection of two sets of electromagnetic signal sets; q n∪m is the number of electromagnetic signals in the union of the two sets of electromagnetic signal sets; p is the cumulative number of overweight trucks in the overweight truck records; t is the shortest capture time interval between the two sets of electromagnetic signal sets; γ is the impact factor; Among them, the larger the risk value k of the truck dynamic weighing equipment being interfered with, the lower the risk of the truck dynamic weighing equipment being interfered with. Conversely, the higher the risk of the truck dynamic weighing equipment being interfered with, Where u represents the set of nodes in the electromagnetic signal, (P x ) v 、(P y )v represents the vector of the vth node in the electromagnetic signal x and the electromagnetic signal y.

2. The cheating behavior monitoring system based on overweight truck control according to claim 1 is characterized in that: The truck dynamic weighing area and the truck static weighing area are respectively deployed with truck dynamic weighing equipment and truck static weighing equipment. The truck dynamic weighing area and the truck static weighing area are deployed at the exit and entrance of the weight-restricted section. When a truck enters the weight-restricted section, the truck dynamic weighing area is used to weigh the truck. When the truck leaves the weight-restricted section, the truck is released or weighed again based on the decision result of the judgment layer. Among them, after the truck is weighed in the dynamic weighing area, the truck dynamic weighing equipment transmits the weighing result to the truck overweight control management background via radio signals. The truck overweight control management background determines whether the truck is overweight based on the weighing result and the preset overweight judgment threshold. After the truck static weighing equipment in the truck static weighing area weighs the truck, the highway management staff reads the truck weighing result on the display screen equipped with the truck static weighing equipment; The truck overload control management backend is any computer or mobile computer with a display function.

3. The cheating behavior monitoring system based on overweight truck control according to claim 1 is characterized in that: The capture layer includes a capture module, an extraction module and a storage module. The capture module includes a field strength meter and a camera module. The capture module is used to control the operation of the field strength meter and the camera module. The field strength meter is used to monitor the electromagnetic signals generated in real time in the dynamic weighing area of ​​the truck. The camera module is used to collect the truck license plate information. The extraction module is used to receive the truck license plate information collected by the camera module in the capture module and extract the truck license plate number from the truck license plate information. The storage module is used to receive the electromagnetic signals generated in real time by the field strength meter in the capture module when monitoring the dynamic weighing area of ​​the truck and the truck license plate information extracted by the extraction module, and store the electromagnetic signals and the truck license plate information. When the system is first run, the first truck entering the entrance of the weight-restricted section will be weighed in the dynamic weighing area and the static weighing area. If the two weighing results are consistent, the storage module will perform the operation of storing the electromagnetic signal and the truck's license plate information. If the two weighing results are inconsistent, the weighing result in the static weighing area will be used as the basis for determining whether the truck is overweight. Among them, the weighing equipment in the dynamic weighing area and the static weighing area of ​​the truck are equipped with overweight judgment values. The overweight judgment value is compared with the weighing result to determine whether the truck is overweight; when the system runs for the first time and performs the consistency judgment of two weighing results, an error tolerance threshold is set simultaneously, so that the two weighing results whose difference is within the error tolerance threshold are judged to be consistent.

4. The cheating behavior monitoring system based on overweight truck control according to claim 3 is characterized in that: The camera module collects the truck license plate information, i.e., the truck license plate image. The extraction module extracts the truck license plate number from the truck license plate information after receiving the truck license plate information, i.e.: Recognizing a truck license plate image, extracting a contour image from the truck license plate image, and further extracting digital information from the contour image; The extraction operation of the contour image in the truck license plate image obeys: Where: q is the judgment value; f(·) is the judgment function; R i , G i 、B i is the value of pixel i in the truck license plate image based on the three color channels; is the contour determination threshold; In the above formula, (·) represents Based on the above formula, the judgment value of each pixel in the truck license plate image is obtained and judged, so that the pixel whose judgment value is 1 based on the limit value of formula (2) is judged as a pixel in the contour image. Based on the determination of the pixels in the contour image, the contour image is determined. After the contour image is determined, the truck license plate number is extracted from the contour image based on the OCR algorithm. After the truck license plate number is extracted, it is synchronously forwarded to the storage module, and the truck license plate information bound to the corresponding electromagnetic signal is iterated.

5. The cheating behavior monitoring system based on overweight truck control according to claim 1 is characterized in that: During the operation phase of the receiving module, the electromagnetic signals and truck license plate information received are sourced from the storage module in the capture layer. When the receiving module receives the electromagnetic signals and truck license plate information, the received truck license plate information is two groups and all electromagnetic signals bound to the two groups of truck license plate information, which are recorded as two sets of electromagnetic signal sets. When assessing the risk of interference to the truck's dynamic weighing equipment, the assessment module uses two sets of electromagnetic signal sets to perform an assessment operation. The recognition module performs an operation to identify the difference electromagnetic signals in the electromagnetic signals, that is, to identify the electromagnetic signals included in the subsequent capture electromagnetic signal set but not included in the previous capture electromagnetic signal set. The electromagnetic signal is represented in the form of a spectrum diagram.

6. The cheating behavior monitoring system based on overweight truck control according to claim 1 is characterized in that: The value of the impact factor γ follows: Two sets of speed measuring devices are installed at the weighing areas at the exit and entrance of the weight-restricted section. The two sets of speed measuring devices are used to detect the speed of trucks before and after passing through the weighing area. The difference between the two sets of detected speeds is calculated. The smaller the difference, the smaller the value of the impact factor γ. Conversely, the larger the value of the impact factor; Among them, the impact factor γ∈(0.5, 1.5).

7. The cheating behavior monitoring system based on overweight truck control according to claim 1 is characterized in that: The determination layer includes a first determination module, a second determination module, and a decision module. The first determination module is used to receive the risk value of the truck dynamic weighing equipment being interfered with as assessed in the assessment layer, set a threshold for determining the validity of the truck weighing result, and compare the threshold for determining the validity of the truck weighing result with the risk value of the truck dynamic weighing equipment being interfered with to determine whether the truck dynamic weighing result is valid. The second determination module is used to receive the difference electromagnetic signal identified in the assessment layer, analyze whether there is an interference electromagnetic signal in the difference electromagnetic signal, and determine whether the truck dynamic weighing result is valid based on the analysis result. The decision module is used to receive the determination results of the first determination module and the second determination module, and decide whether to use the truck static weighing area at the exit of the weight-restricted section to re-weigh the truck based on the determination result. During the decision module operation phase, when the determination results of both the first determination module and the second determination module are valid, the weight-restricted road section exit will release the truck with the determination results; when any one of the determination results of the first determination module and the second determination module is invalid, the weight-restricted road section exit will re-weigh the truck with the determination results in the truck static weighing area at the weight-restricted road section exit; Among them, the weighing equipment at the exit of the weight-restricted section performs wireless data interaction with the weighing equipment at the entrance of the weight-restricted section in real time. The content of the wireless data interaction is: when the judgment result is invalid, the truck dynamic weighing equipment is obtained to obtain the truck license plate number bound to the electromagnetic signal set applied to the interference risk value k. The weighing equipment at the exit of the weight-restricted section determines the trucks that need to be re-weighed and verified based on the truck license plate information collected by the camera module.

8. The cheating behavior monitoring system based on overweight truck control according to claim 7 is characterized in that: The logic of analyzing whether there is an interference electromagnetic signal in the difference electromagnetic signal in the second determination module is expressed as follows: Where: δ is the frequency judgment value; C is the set of difference electromagnetic signals; f(·) is the judgment function; f min With f max Two sets of end values ​​of the allowable electromagnetic interference frequency range customized by the system end user; f a is the frequency of the difference electromagnetic signal a; I MAX is the maximum electromagnetic signal strength in the set of difference electromagnetic signals; I threshold The maximum allowable electromagnetic interference intensity customized by the system end user; Among them, f in the judgment function f(·) min ≤f a ≤f max When it is established, f(·)=0, and the f in the judgment function f(·) min ≤f a ≤f max When it does not hold, f(·)=1, the frequency judgment value δ in formula (1) in the above formula is 0, and formula (2) does not hold, which means that there is no interference electromagnetic signal in the difference electromagnetic signal, indicating that the dynamic weighing result of the truck is valid; on the contrary, any of the cases indicates that there is an interference electromagnetic signal in the difference electromagnetic signal. When there is an interference electromagnetic signal in the difference electromagnetic signal, it means that the dynamic weighing result of the truck is invalid.

9. The cheating behavior monitoring system based on overweight truck control according to claim 1 is characterized in that: The control terminal is interactively connected to a capture module via a wireless network, the capture module is interactively connected to a field strength meter and a camera module via a wireless network, the capture module is interactively connected to an extraction module and a storage module via a wireless network, the storage module is interactively connected to a receiving module via a wireless network, the receiving module is interactively connected to an evaluation module and an identification module via a wireless network, the identification module is interactively connected to a first determination module via a wireless network, and the first determination module is interactively connected to a second determination module and a decision module via a wireless network.

10. A method for monitoring cheating behavior based on overweight truck control, the method being an implementation method of a system for monitoring cheating behavior based on overweight truck control as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Real-time capture of electromagnetic signals in the dynamic weighing area of ​​trucks at the entrance of weight-restricted sections, collection of license plate images of trucks entering the weight-restricted sections, and extraction of the truck license plate numbers from the license plate images; Setting and applying the logic for extracting truck license plate numbers; The static weighing equipment for trucks at the entrance of the weight-restricted road section is used to weigh the trucks entering the weight-restricted road section again, and an overweight threshold is set. When the static weighing result is less than the overweight threshold, the truck license plate number is bound to the captured electromagnetic signal and stored; When a truck enters the weight-restricted section again, the truck dynamic weighing area will be used to dynamically weigh the truck, synchronously capture the electromagnetic signal, collect the truck license plate image and extract the license plate number, and then execute the storage of the truck license plate number and the captured electromagnetic signal; Retrieve two sets of electromagnetic signal sets corresponding to trucks that successively enter a weight-restricted section of road. Use these two sets of electromagnetic signal sets to assess the risk of interference to the truck's dynamic weighing equipment and identify the difference in electromagnetic signals between the two sets of electromagnetic signal sets. Setting and application of interference risk logic; Set the validity judgment logic for truck dynamic weighing results, obtain the risk assessment results of the truck dynamic weighing equipment being interfered with, and determine the validity of the truck dynamic weighing equipment weighing results based on the validity judgment logic; If the dynamic weighing result of a truck is determined to be valid, the truck will be released at the exit of the weight-restricted section. If the dynamic weighing result of a truck is determined to be invalid, the truck will be weighed and verified again at the exit of the weight-restricted section using static weighing equipment.

Images