Weight curve-based vehicle weighing cheating early warning method and device, and medium

Abstract

The invention discloses a vehicle weighing cheating early warning method and device based on a weight curve and a medium, belongs to the technical field of device early warning, and is used for solving the technical problems that an existing weighing cheating determination method is mainly based on manual judgment, negligence is likely to happen, and accuracy is lacked. The method comprises the following steps: acquiring vehicle weight data acquired in a weighing process; drawing a weight curve corresponding to the weighing process based on the weight data; and determining whether a cheating behavior exists in the weighing process based on at least one of the slope, the extreme value and the inflection point of the weight curve. According to the method, the accuracy of vehicle weighing cheating early warning is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment early warning, and in particular to a method, equipment and medium for early warning of vehicle weighing cheating based on a weight curve. Background Art

[0002] In order to determine the weight of cargo such as grain on a vehicle, the vehicle is weighed twice. Once is when the cargo is loaded on the vehicle, and the vehicle loaded with cargo is weighed, that is, the gross weight is measured; the other time is after the vehicle is unloaded, and the vehicle after unloading is weighed, that is, the tare weight is measured; the weight of the cargo is determined by the difference between the gross weight and the tare weight.

[0003] However, in order to obtain more economic benefits, cheating may occur in the process of weighing goods. For example, heavy objects such as stones are added when weighing the gross weight, and the heavy objects are removed when weighing the tare weight, so as to achieve a larger weight of the goods; or people are temporarily put on the vehicle when weighing the gross weight, and temporarily get off the vehicle when weighing the tare weight, so that the weight of the goods includes the weight of people.

[0004] In existing grain depots, vehicles are weighed for gross weight and tare weight. The final weight is determined by the weigher after the vehicle stops. Human observation is generally used to check whether there is cheating in the weight. In this case, the weigher can only observe with the human eye, which is easy to cause negligence. In particular, in the future, to speed up the operation efficiency and provide an unattended mode, it is more necessary to accurately warn of vehicle cheating in this mode. Summary of the invention

[0005] The present invention provides a method, device and medium for early warning of vehicle weighing cheating based on a weight curve, so as to solve the technical problem that the existing weighing cheating determination method mainly relies on human judgment, is prone to negligence and lacks accuracy.

[0006] In a first aspect, the present invention provides a method for early warning of vehicle weighing fraud based on a weight curve, comprising:

[0007] Obtain vehicle weight data collected during the weighing process;

[0008] Based on the weight data, drawing a weight curve corresponding to the weighing process;

[0009] Based on at least one of the slope, the extreme value and the inflection point of the weight curve, it is determined whether there is cheating in the weighing process.

[0010] In a feasible implementation manner, before obtaining the vehicle weight data collected during the weighing process, the method further includes:

[0011] When a start condition is met, the weight data of the vehicle starts to be collected, wherein the start condition includes at least one of weight fluctuation, IC card swiping, and license plate recognition.

[0012] In a feasible implementation manner, before obtaining the vehicle weight data collected during the weighing process, the method further includes:

[0013] When an end condition is met, the collection of the weight data of the vehicle is stopped. The end condition includes that the weight tends to be stable or the weight returns to the initial weight.

[0014] In a feasible implementation manner, determining whether cheating occurs in the weighing process based on at least one of the slope, the extreme value, and the inflection point of the weight curve includes:

[0015] determining whether the weight curve has a concave area based on at least one of a slope, an extreme value, and an inflection point of the weight curve;

[0016] If so, it is determined that cheating occurs during the weighing process.

[0017] In a feasible implementation manner, determining whether cheating occurs in the weighing process based on at least one of the slope, the extreme value, and the inflection point of the weight curve includes:

[0018] Determining whether the weight curve has a surge region based on at least one of a slope, an extreme value, and an inflection point of the weight curve;

[0019] If so, it is determined that cheating occurs during the weighing process.

[0020] In a feasible implementation manner, determining whether cheating occurs in the weighing process based on at least one of the slope, the extreme value, and the inflection point of the weight curve includes:

[0021] Determining a maximum weight and a target weight in the weight curve, wherein the target weight is the weight when the weight curve tends to be stable;

[0022] When the weight difference between the maximum weight and the target weight exceeds a preset weight difference threshold, it is determined that cheating occurs during the weighing process.

[0023] In a feasible implementation manner, determining whether cheating occurs in the weighing process based on at least one of the slope, the extreme value, and the inflection point of the weight curve includes:

[0024] Obtain the historical curve of the vehicle, where the historical curve is the weight curve corresponding to the historical weighing process of the vehicle

[0025] Based on the difference between the weight curve and the historical curve, it is determined whether there is cheating in the weighing process.

[0026] In a feasible implementation manner, determining whether there is cheating in the weighing process based on the difference between the weight curve and the historical curve includes:

[0027] Determine a slope difference between the slope of the weight curve and the slope of the historical curve, and when the slope difference exceeds a preset slope difference threshold, determine that cheating exists in the weighing process; and / or,

[0028] An extreme value difference between an extreme value of the weight curve and an extreme value of the historical curve is determined, and when the extreme value difference exceeds a preset extreme value difference threshold, it is determined that cheating behavior exists in the weighing process.

[0029] In a second aspect, the present invention provides a device for providing vehicle cheating warning based on a weight curve, the device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor so that the at least one processor can execute the method for providing vehicle cheating warning based on a weight curve as described in any of the above-mentioned embodiments.

[0030] In a third aspect, the present invention provides a non-volatile computer storage medium, which is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each of which includes instructions, and when the instructions are executed by a terminal, the terminal executes the method for vehicle cheating warning based on a weight curve as described in any of the above embodiments.

[0031] Compared with the prior art, the method, device and medium for vehicle cheating early warning based on weight curve provided by the present invention have the following beneficial technical effects:

[0032] (1) When weighing vehicles, the weight curve can be used to identify whether there is cheating, reduce misjudgment and human cheating, and improve the accuracy of vehicle weighing cheating warning.

[0033] (2) It is also applicable to unmanned operation mode and can accurately identify vehicle operation cheating warnings in unmanned operation mode.

[0034] (3) In addition, the weight curve supports correction. The more data there is, the more stable and accurate the cheating warning method will be. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0036] Figure 1 A schematic diagram of a vehicle weighing process provided by the present invention;

[0037] Figure 2 A schematic diagram of a curve showing the weight change over time during a vehicle weighing process provided by the present invention;

[0038] Figure 3 A flow chart of a method for early warning of vehicle weighing fraud based on a weight curve provided by the present invention;

[0039] Figure 4 A schematic diagram of a concave area in a weight curve provided by the present invention;

[0040] Figure 5 A schematic diagram of a surge area in a weight curve provided by the present invention;

[0041] Figure 6 A flow chart of a method for early warning of vehicle weighing fraud based on a weight curve provided by the present invention;

[0042] Figure 7 A schematic diagram of the structure of a device for providing early warning of vehicle weighing cheating based on a weight curve provided by the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. 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 creative work are within the scope of protection of the present invention.

[0044] The present invention discloses a method for vehicle cheating warning based on weight curve: by analyzing the weight curve of the vehicle when it is weighed, it is determined whether the vehicle has cheating warning. The weight curve includes the historical weight curve of the vehicle and the current weight curve.

[0045] The present invention is based on the weight curve of the vehicle during operation, and warns whether there is cheating when the vehicle is weighed. The basic algorithm mainly compares and analyzes the weight curve of the vehicle during the entire weighing process and the historical weighing weight curve, and analyzes whether the weight curve is roughly the same, whether there is an abnormal rise or fall, as well as the peaks, troughs, and overall slope changes, etc. It is applicable to a wide range of scenarios, including manned and unmanned modes.

[0046] The implementation method of the present invention mainly provides an early warning method for vehicle operating weight cheating, solves the current method in which grain depots rely on the visual judgment of weighers to determine whether there is weighing cheating in vehicles, and provides a judgment method for vehicle weighing cheating in unattended mode.

[0047] Figure 1 A schematic diagram of a vehicle weighing process provided by the present invention, Figure 2 A schematic diagram of a curve showing the weight change over time during a vehicle weighing process provided by the present invention, such as Figure 1 and Figure 2 As shown, during the process of weighing the vehicle, the vehicle body slowly drives into the weighing area of ​​the scale. The weight of the vehicle in contact with the scale will change over time, from the initial 0kg to 100kg and 2300kg in the meantime, until it finally stabilizes to the final weight of 65800kg. There is a curve of weight changing over time.

[0048] After the vehicle's weight stabilizes, a weight curve can be obtained. This weight curve can clearly describe the changing trend of the vehicle during the entire weighing process. The weight curve is analyzed to analyze the shape, trend, fluctuation and other characteristics of the curve to check whether there are abnormal trends, such as concave areas (people suddenly get off the vehicle) or convex areas (people suddenly get on the vehicle) in the rising curve. At the same time, the slope trend, inflection points, extreme values ​​and other arithmetic feature points of the weight curve are analyzed to analyze whether there is cheating in vehicle weighing.

[0049] In addition, the characteristic data of the historical weight curve of the vehicle is compared for similarity and analysis to see if there are any abnormalities.

[0050] The technical solution proposed by the present invention is described in detail below with reference to the accompanying drawings.

[0051] Figure 3 The present invention provides a flow chart of a method for early warning of vehicle weighing fraud based on a weight curve. Figure 3 As shown, the method includes the following execution steps:

[0052] S301. Obtain vehicle weight data collected during the weighing process.

[0053] The present invention aims to determine whether there is cheating in the weighing process, and to obtain the weight change of the vehicle during the weighing process, that is, to obtain the vehicle weight data collected during the weighing process.

[0054] In some embodiments, before obtaining the vehicle weight data collected during the weighing process, hardware preparation work must be performed, that is, initialization must be performed. During the initialization process, work begins on obtaining the vehicle weight data, the equipment required for obtaining the vehicle weight data is started, and the equipment that triggers the start of weight monitoring (such as an IC card reader, license plate recognition camera, etc.) is started to prepare for the acquisition of weight data.

[0055] As a possible implementation method, before obtaining the vehicle weight data collected during the weighing process, the method also includes: starting to collect the vehicle weight data when the starting conditions are met, and the starting conditions include at least one of weight fluctuations, IC card swiping, and license plate recognition.

[0056] In the present invention, when the weighing process starts, the weight measured by the weighing device usually fluctuates. Therefore, the weight fluctuation can be used as a starting condition for starting to collect the weight data of the vehicle.

[0057] In some embodiments, the starting condition for starting to collect the vehicle weight data may also be an external trigger such as an IC card reader detecting that an IC card is swiped, or a license plate recognition camera recognizes a license plate when performing license plate recognition.

[0058] As a possible implementation, before obtaining the vehicle weight data collected during the weighing process, the method further includes: stopping collecting the vehicle weight data when an end condition is met, and the end condition includes that the weight tends to be stable or the weight returns to the initial weight.

[0059] In the present invention, when the weight weighed by the weighing device tends to be stable, it means that the weight weighed by the weighing device no longer changes, and the weighing process has ended. At this time, the collection of vehicle weight data in this weighing process can be stopped; when the weight weighed by the weighing device returns to the initial weight, it means that the weighed vehicle has left the weighing device, the weighing process has ended, and the collection of vehicle weight data in this weighing process can be stopped.

[0060] The initial weight may be the weight measured by the weighing device in the initial state, that is, the weight measured before the vehicle is weighed, and the initial weight is generally 0 kg.

[0061] S302: based on the weight data, draw a weight curve corresponding to the weighing process.

[0062] The weight curve in the present invention can better show the change of vehicle weight data. In order to facilitate the analysis of vehicle weight data, a weight curve corresponding to the vehicle can be drawn based on the collected vehicle weight data.

[0063] S303: Determine whether cheating occurs during the weighing process based on at least one of the slope, extreme value, and inflection point of the weight curve.

[0064] The changing trend of the weight curve when the vehicle is cheating usually appears abnormal, and there is a certain difference from the changing trend of the weight curve when the vehicle is weighed normally. Therefore, it can be determined whether the vehicle is cheating based on the changing trend of the weight curve.

[0065] The changing trend of the weight curve can be reflected by the changing characteristics of the weight curve, such as the slope, extreme value and inflection point of the weight curve. In order to quantify the changing trend of the weight curve and facilitate accurate judgment of vehicle cheating behavior, it is possible to determine whether the vehicle has cheating behavior based on the curve characteristics such as the slope, extreme value and inflection point of the weight curve.

[0066] As a possible implementation manner, based on at least one of the slope, extreme value and inflection point of the weight curve, it is determined whether there is a concave area in the weight curve; if so, it is determined that cheating occurs during the weighing process.

[0067] When there is cheating behavior such as people suddenly getting off the car or discarding heavy objects such as stones during the weighing process, there will be a concave area in the weight curve corresponding to the weighing process with cheating behavior. Therefore, it is possible to determine whether there is cheating in the weighing process by detecting whether there is a concave area in the weight curve.

[0068] The concave area in the weight curve can be reflected by the characteristics of the weight curve such as the slope, extreme value, inflection point, etc. that characterize the changing trend of the weight curve. Therefore, it can be determined whether there is a concave area in the weight curve based on at least one of the slope, extreme value and inflection point of the weight curve.

[0069] Figure 4 A schematic diagram of a concave area in a weight curve provided by the present invention, such as Figure 4 As shown, the weight at a certain moment shows a decreasing trend compared with the weight at the previous moment, and the weight in subsequent similar time periods all decreases, and then the weight resumes its upward trend; the phenomenon presented in the weight curve is that there is a concave area in the weight curve; there is a weight anomaly here, and there may be cheating in the weighing process corresponding to this curve.

[0070] As a possible implementation manner, based on at least one of the slope, extreme value and inflection point of the weight curve, it is determined whether there is a surge area in the weight curve; if so, it is determined that cheating occurs during the weighing process.

[0071] When there is cheating behavior during the weighing process, such as people suddenly getting on the vehicle or loading heavy objects such as stones, there will be a surge area (convex area) in the weight curve corresponding to the weighing process with cheating behavior. Therefore, it is possible to determine whether there is cheating in the weighing process by detecting whether there is a surge area in the weight curve.

[0072] The surge area in the weight curve can be reflected by the characteristics of the weight curve such as the slope, extreme value, inflection point, etc. that characterize the changing trend of the weight curve. Therefore, it can be determined whether there is a surge area in the weight curve based on at least one of the slope, extreme value and inflection point of the weight curve.

[0073] Figure 5 A schematic diagram of a surge region in a weight curve provided by the present invention, such as Figure 5 As shown, the slope trend of the weight curve corresponding to the weighing process roughly presents a stable value. Suddenly, the slope value increases and then drops to the previous slope value. The phenomenon presented in the weight curve is that there is a convex area in the weight curve. There is a weight anomaly here, and there may be cheating in the weighing process corresponding to this curve.

[0074] As a possible implementation method, the maximum weight and target weight in the weight curve are determined, and the target weight is the weight when the weight curve tends to be stable; when the weight difference between the maximum weight and the target weight exceeds a preset weight difference threshold, that is, the weight change during the weighing process exceeds a reasonable fluctuation range, at this time, it is determined that cheating occurs during the weighing process.

[0075] As a possible implementation, S303 determines whether cheating occurs during the weighing process based on at least one of the slope, extreme value, and inflection point of the weight curve, including:

[0076] S3031. Obtain a history curve of the vehicle, where the history curve is a weight curve corresponding to a history weighing process of the vehicle.

[0077] The present invention can store these data after a weight curve is generated each time the vehicle is weighed (tare weight, gross weight). When the vehicle is weighed again, the relevant data of the weight curve is analyzed for this weight curve, and then compared with the weight curve corresponding to the historical weighing process of the vehicle to further determine whether there is cheating.

[0078] S3032. Determine whether there is cheating in the weighing process based on the difference between the weight curve and the historical curve.

[0079] Normally, for the same vehicle, the weight curves corresponding to different weighing processes at different times have slightly different changing trends. Therefore, when the difference between the weight curve and the historical curve is large, it can be considered that cheating may exist in the weighing process.

[0080] For example, for different weighing processes of tare weight of the same vehicle, the vehicle is in an empty state, or the weight of the people on the vehicle does not change much. Therefore, for different weighing processes of tare weight of the same vehicle, the corresponding weight curves are not much different.

[0081] For example, for different weighing processes of the same vehicle for measuring the gross weight, the vehicle is usually in a fully loaded state, and the carrying capacity of the vehicle does not change much. Therefore, for different weighing processes of the same vehicle for measuring the gross weight, the corresponding weight curves do not differ much.

[0082] As a possible implementation method, S3032 determines whether there is cheating in the weighing process based on the difference between the weight curve and the historical curve, including: determining the slope difference between the slope of the weight curve and the slope of the historical curve, when the slope difference exceeds a preset slope difference threshold, determining that there is cheating in the weighing process; and / or determining the extreme value difference between the extreme value of the weight curve and the extreme value of the historical curve, when the extreme value difference exceeds a preset extreme value difference threshold, determining that there is cheating in the weighing process.

[0083] The present invention aims to realize a method for early warning of vehicle cheating based on a weight curve, solve the problem that the current grain depot's judgment on whether there is weighing cheating in a vehicle is based on the visual judgment of the weighers, and provide a judgment method for vehicle weighing cheating in an unattended mode. Figure 6 A flowchart of another method for vehicle weighing cheating warning based on weight curve provided by the present invention, such as Figure 6 As shown, the present invention solves the problem through three steps: weight curve acquisition, weight curve analysis, and historical weight curve comparison and analysis.

[0084] 1. Obtaining the weight curve

[0085] The weight curve is obtained based on the continuous value of the weight of the scale changing over time. When the scale is in a stable state, the weight is at the initial value (such as 0kg). When the weight fluctuates, data monitoring is performed. At the same time, the weight change monitoring logic can also be externally triggered (such as swiping the IC card to start the scale, starting the scale when the license plate is recognized to be correct, etc.). During the weight monitoring process, the time and weight values ​​are obtained in real time. When the weight tends to be stable, the weight curve can be drawn based on the acquired data information.

[0086] The steps can be broken down into:

[0087] 1. Start real-time weight monitoring: Initialization process, start work on weight curve acquisition, start the equipment for weight information acquisition, start the equipment that triggers weight monitoring (such as IC card reader, license plate recognition camera, etc.), and prepare for weight data acquisition;

[0088] 2. Start monitoring: Trigger weight monitoring to start. The triggering time can be weight fluctuation or external trigger (such as swiping an IC card, license plate recognition, etc.). At this time, weight monitoring starts;

[0089] 3. Monitor and collect data: In this stage, weight and time are stored simultaneously (storage accuracy can be controlled. If more precise control is required, the frequency of data collection can be increased);

[0090] 4. Monitoring ends: When the weight becomes stable or returns to the starting weight (for example, 0kg), the monitoring of this weight curve acquisition ends.

[0091] 2. Weight curve analysis

[0092] For the data collected by this weight monitoring, a weight curve can be drawn according to time and weight. By analyzing the weight curve, it can be determined whether there is cheating in vehicle weighing. Analyze the weight curve, analyze the shape, trend, fluctuation and other characteristics of the curve, and check whether there is an abnormal trend, such as a concave area in the rising curve (people suddenly get off the car) or a convex area (people suddenly get on the car). At the same time, analyze the arithmetic characteristic points such as the slope trend, inflection point, extreme value of the weight curve to analyze whether there is cheating in vehicle weighing.

[0093] The specific analysis steps include:

[0094] 1. Analyze the weight curve to see if there is a concave area. For example, the weight at a certain moment shows a decreasing trend compared to the weight at the previous moment, and the weight in the subsequent similar time period decreases, and then the weight resumes the upward trend. There is a weight anomaly here, which may be cheating.

[0095] 2. Analyze the weight curve, calculate the slope trend (the slope calculation formula is as follows), obtain all slope conditions during the entire weight curve process, and check whether there is a surge. During the vehicle weighing process, the slope trend of the weight curve generally presents a stable value. When the slope value suddenly increases and then drops to the previous slope value, cheating may occur here.

[0096] The calculation formula of slope is: slope = (x 2 -x 1 ) / (y 2 -y 1 ).

[0097] Here, x1 and 1 are the abscissa and ordinate of the first point in the weight curve, x 2 and 2 are the abscissa and ordinate of the second point in the weight curve.

[0098] 3. Analyze the extreme values ​​of the weight curve, obtain the maximum value of the current weight curve, and compare the weight when the weight curve tends to be stable to see if it is within a suitable upper and lower fluctuation range. If it exceeds the appropriate fluctuation range, cheating may occur here.

[0099] 3. Historical Weight Curve Analysis

[0100] Every time a vehicle is weighed (tare weight, gross weight), a weight curve is generated. These data can be stored. When the vehicle is weighed again, the relevant data of the weight curve is analyzed for this weight curve, and then compared with the historical weight curve to further determine whether there is cheating. For example, the weight curve of the vehicle's tare weight can be compared to see whether the extreme values ​​are within a difference range; or the slope changes of the historical weight curves can be compared with the current weight curve to see whether they are also within a reasonable fluctuation range, thereby determining whether there is cheating.

[0101] Corresponding to the above-mentioned embodiment, the present invention also provides a device for early warning of vehicle weighing cheating based on a weight curve. Figure 7 A schematic diagram of the structure of a device for providing a warning of vehicle weighing fraud based on a weight curve according to an embodiment of the present invention, wherein the device may include: at least one processor; and a memory in communication with the at least one processor; wherein the memory stores instructions executable by the at least one processor, so that the at least one processor can execute the method for providing a warning of vehicle weighing fraud based on a weight curve as described in the above embodiment.

[0102] In a possible implementation of the present invention, the at least one processor is capable of executing the following steps: obtaining vehicle weight data collected during the weighing process; drawing a weight curve corresponding to the weighing process based on the weight data; and determining whether cheating occurs during the weighing process based on at least one of the slope, extreme value, and inflection point of the weight curve.

[0103] In a specific implementation, the present invention can also be provided as a non-volatile computer storage medium, wherein the storage medium is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each program includes instructions, and when the instructions are executed by the terminal, the terminal executes the method for vehicle weighing cheating warning based on the weight curve as described in the above embodiment.

[0104] In a possible implementation of the present invention, the aforementioned terminal executes to obtain vehicle weight data collected during the weighing process; based on the weight data, draws a weight curve corresponding to the weighing process; based on at least one of the slope, extreme value and inflection point of the weight curve, determines whether there is cheating during the weighing process.

[0105] The various embodiments of the present invention are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0106] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0107] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for early warning of vehicle weighing fraud based on a weight curve, characterized in that: The method comprises: Obtain vehicle weight data collected during the weighing process; Based on the weight data, drawing a weight curve corresponding to the weighing process; Based on at least one of the slope, the extreme value and the inflection point of the weight curve, it is determined whether there is cheating in the weighing process.

2. The method for early warning of vehicle weighing fraud based on weight curve according to claim 1 is characterized in that: Before acquiring the vehicle weight data collected during the weighing process, the method further includes: When a start condition is met, the weight data of the vehicle starts to be collected, wherein the start condition includes at least one of weight fluctuation, IC card swiping, and license plate recognition.

3. The method for early warning of vehicle weighing fraud based on weight curve according to claim 1 is characterized in that: Before acquiring the vehicle weight data collected during the weighing process, the method further includes: When an end condition is met, the collection of the weight data of the vehicle is stopped. The end condition includes that the weight tends to be stable or the weight returns to the initial weight.

4. The method for early warning of vehicle weighing fraud based on weight curve according to claim 1 is characterized in that: Determining whether cheating occurs during the weighing process based on at least one of a slope, an extreme value, and an inflection point of the weight curve includes: determining whether the weight curve has a concave area based on at least one of a slope, an extreme value, and an inflection point of the weight curve; If so, it is determined that cheating occurs during the weighing process.

5. The method for early warning of vehicle weighing fraud based on weight curve according to claim 1 is characterized in that: Determining whether cheating occurs during the weighing process based on at least one of a slope, an extreme value, and an inflection point of the weight curve includes: Determining whether the weight curve has a surge region based on at least one of a slope, an extreme value, and an inflection point of the weight curve; If so, it is determined that cheating occurs during the weighing process.

6. The method for early warning of vehicle weighing fraud based on weight curve according to claim 1 is characterized in that: Determining whether cheating occurs during the weighing process based on at least one of a slope, an extreme value, and an inflection point of the weight curve includes: Determining a maximum weight and a target weight in the weight curve, wherein the target weight is a weight when the weight curve tends to be stable; When the weight difference between the maximum weight and the target weight exceeds a preset weight difference threshold, it is determined that cheating occurs during the weighing process.

7. The method for early warning of vehicle weighing fraud based on weight curve according to claim 1 is characterized in that: Determining whether cheating occurs during the weighing process based on at least one of a slope, an extreme value, and an inflection point of the weight curve includes: Acquire a history curve of the vehicle, where the history curve is a weight curve corresponding to a history weighing process of the vehicle; Based on the difference between the weight curve and the historical curve, it is determined whether there is cheating in the weighing process.

8. The method for early warning of vehicle weighing fraud based on weight curve according to claim 7 is characterized in that: Based on the difference between the weight curve and the historical curve, determining whether there is cheating in the weighing process includes: Determine a slope difference between the slope of the weight curve and the slope of the historical curve, and when the slope difference exceeds a preset slope difference threshold, determine that cheating behavior exists in the weighing process; and / or, An extreme value difference between an extreme value of the weight curve and an extreme value of the history curve is determined, and when the extreme value difference exceeds a preset extreme value difference threshold, it is determined that cheating behavior exists in the weighing process.

9. A device for early warning of vehicle weighing fraud based on a weight curve, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute the method for early warning of vehicle weighing fraud based on a weight curve according to any one of claims 1-8.

10. A non-volatile computer storage medium, characterized in that: The storage medium is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each of which includes instructions, and when the instructions are executed by the terminal, the terminal executes the method for vehicle weighing cheating warning based on weight curve according to any one of claims 1-8.

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