An intelligent perception and early warning method and system for over-limit behavior of freight vehicles

Abstract

The present application relates to an intelligent perception and warning method and system for over-limit behavior of freight trucks, which solves the problem that even after detection, it is impossible to let the freight truck driver know whether there is a suitable rectification and treatment plan in case of over-limit phenomenon, and better avoids the continuous existence of over-limit phenomenon. It includes: analyzing the parameters that do not fall into the parameter range corresponding to the preset over-limit information determined by analysis according to whether the parameters of the over-limit information involved in the freight truck fall into the parameter range corresponding to the preset over-limit information determined by analysis; analyzing and determining the treatment plan according to the corresponding relationship between the parameters of the over-limit information involved in the freight truck and the treatment plan; and sending the treatment plan to the terminal held by the freight truck driver. The present application has the following effects: in case of over-limit of the freight truck, a suitable treatment plan can be provided to the freight truck driver, thereby better assisting in reducing the occurrence of over-limit situations of freight trucks.

Description

Technical Field

[0001] This application relates to the technical field of vehicle over-limit detection, and in particular, to an intelligent perception and early warning method and system for truck over-limit behavior. Background Art

[0002] Over-limit means that the vehicle loading exceeds the limit set by the road, which is common in trucks. Research has found that overloading of trucks seriously damages highway infrastructure. Since the load of overloaded trucks far exceeds the design load of roads and bridges, it causes pavement damage, bridge fractures, and greatly shortens the service life.

[0003] Existing over-limit detections include the length, width, height, and load of the vehicle loading. During the detection process, law enforcement officers need to intercept the moving vehicle for manual inspection, and then tell the truck driver the detection results.

[0004] Regarding the above related technologies, the inventor found the following defects: on the one hand, the manual detection method is time-consuming, and there are also problems with the detection accuracy during the detection process. On the other hand, after the detection, it is also impossible to let the truck driver know whether there is a suitable rectification and treatment plan in case of over-limit, so as to better avoid the continuous existence of over-limit phenomena. Summary of the Invention

[0005] In order to provide a suitable treatment plan to the truck driver in case of truck over-limit, so as to better assist in reducing the occurrence of truck over-limit, this application provides an intelligent perception and early warning method and system for truck over-limit behavior.

[0006] In the first aspect, this application provides an intelligent perception and early warning method for truck over-limit behavior, adopting the following technical solutions:

[0007] An intelligent perception and early warning method for truck over-limit behavior, comprising:

[0008] Obtaining the truck model information and the parameters of the truck related to over-limit information;

[0009] Analyzing and determining the parameter range corresponding to the preset over-limit information according to the corresponding relationship between the truck model information and the parameter range corresponding to the preset over-limit information;

[0010] Analyzing the parameters that do not fall into the parameter range corresponding to the preset over-limit information determined by analysis according to whether the parameters of the truck related to over-limit information fall into the parameter range corresponding to the preset over-limit information determined by analysis;

[0011] Analyzing and determining the treatment plan according to the corresponding relationship between the parameters of the truck related to over-limit information and the treatment plan;

[0012] Sending the treatment plan to the terminal held by the truck driver.

[0013] Optionally, if the parameters of the truck related to over-limit information are length, width, and height, the acquisition of the parameters of the truck related to over-limit information includes:

[0014] Obtain the detection image of the target truck in the over-limit detection area at the highway intersection;

[0015] If the length, width, and height of the target truck are extracted from the detection image, then use the extracted length, width, and height of the target truck as the length, width, and height of the target truck this time;

[0016] If the length, width, and height of the target truck are not extracted from the detection image, then send the on-site detection information to the terminal held by the person in charge at the intersection.

[0017] Optionally, if the parameter of the truck related to over-limit information is weight, the acquisition of the parameter of the truck related to over-limit information includes: obtaining the load information of the vehicle through a weighing device.

[0018] Optionally, if the parameters of the truck related to over-limit information are length, width, height, and load, the acquisition of the parameters of the truck related to over-limit information includes:

[0019] According to the detection image of the target truck in the over-limit detection area at the highway intersection, analyze and obtain the type of goods carried in the goods-carrying area of the truck and the length, width, and height of the goods of the corresponding type;

[0020] If the types of goods carried are the same, then analyze and determine the unit weight of the type of goods carried according to the corresponding relationship between the preset type of goods carried and the unit weight;

[0021] According to the unit weight of the type of goods carried and the space volume of the goods-carrying area of the truck, analyze and determine the total weight of the type of goods carried;

[0022] According to the corresponding relationship between the truck model information and the average total weight when there is no load, analyze and determine the average total weight of the truck when there is no load;

[0023] According to the analyzed and determined average total weight of the truck when there is no load and the total weight of the type of goods carried, analyze and obtain the theoretical total load under the goods of the truck;

[0024] If the difference between the theoretical total load under the goods of the truck and the obtained total load of the truck exceeds the preset load difference, then send the on-site detection information to the terminal held by the person in charge at the intersection;

[0025] Obtain the parameters of the truck related to over-limit information sent by the terminal held by the person in charge at the intersection as the parameters of the obtained over-limit information this time.

[0026] Optionally, according to the corresponding relationship between the truck model information and the average total weight when there is no load, analyzing and determining the average total weight of the truck when there is no load includes:

[0027] Obtain the infrared image of the freight truck, and determine the actual number of people contained in the freight truck according to the infrared image;

[0028] According to the correspondence between the freight truck model information and the average total weight of different numbers of people without cargo, analyze and determine the average total weight of the freight truck without cargo under the current actual number of people.

[0029] Optionally, if the parameters that do not fall into the parameter range corresponding to the preset over-limit information determined by analysis are only length, width, and height, according to the correspondence between the parameters related to the over-limit information of the freight truck and the processing scheme, the analysis and determination of the processing scheme include:

[0030] According to the detection image of the target freight truck in the over-limit detection area at the highway intersection, analyze and obtain the type of cargo in the cargo area of the freight truck and the length, width, and height of the corresponding type of cargo;

[0031] If the types of cargo are the same, according to the length, width, and height of the corresponding type of cargo and the length, width, and height requirements of the freight truck cargo area within the over-limit range, analyze and determine whether there is a placement method that meets the length, width, and height requirements of the freight truck cargo area within the over-limit range;

[0032] If so, send the determined placement method to the terminal held by the freight truck driver;

[0033] If not, further analyze the maximum number of cargos that meet the length, width, and height requirements of the freight truck cargo area within the over-limit range and the placement method and send them to the terminal held by the freight truck driver.

[0034] Optionally, it also includes the steps after further analyzing the maximum number of cargos that meet the length, width, and height requirements of the freight truck cargo area within the over-limit range and the placement method and sending them to the terminal held by the freight truck driver, specifically as follows:

[0035] Obtain the information on whether the freight truck driver needs the assistance of other freight trucks for cargo transportation;

[0036] If so, according to the excess cargo quantity and the length, width, and height of the corresponding type of cargo, analyze the at least cargo space required for the corresponding type of cargo;

[0037] Obtain the remaining cargo space and the location of other freight trucks;

[0038] Select the terminal held by the freight truck driver that meets the requirement of at least the cargo space required for the corresponding type of cargo and is the closest to the current freight truck as the object of sending the notice information for auxiliary cargo transportation this time;

[0039] If not, no notice is made.

[0040] Optionally, if the parameter that does not fall within the parameter range corresponding to the preset overlimit information determined by analysis is only the load, according to the correspondence between the parameters of the truck related to the overlimit information and the processing scheme, the processing scheme determined by analysis includes:

[0041] Obtain information on whether the truck driver needs other trucks to assist in carrying goods for transportation;

[0042] If so, obtain the load information exceeding the preset load;

[0043] According to the detection image of the target truck in the overlimit detection area at the highway intersection, analyze and obtain the type of goods carried in the goods-carrying area of the truck;

[0044] According to the correspondence between the type of goods carried and the preset single weight and single volume situation, analyze and determine the preset single weight and single volume situation of the type of goods carried;

[0045] According to the load information exceeding the preset load, the preset single weight and single volume situation of the type of goods carried, the remaining goods-carrying space and remaining load information of other trucks, and their locations, analyze and determine the terminal held by the truck driver of the truck that meets the load and space requirements and is the closest to the current truck as the object for sending the notice information for assisting in carrying goods for transportation;

[0046] If not, no notice is made.

[0047] In a second aspect, the present application provides an intelligent perception and early warning system for truck over-limit behavior, adopting the following technical solution:

[0048] An anti-collision early warning system for an artificial intelligence teaching robot, including a memory, a processor, and a program stored on the memory and executable on the processor. When the program is loaded and executed by the processor, it can implement the intelligent perception and early warning method for truck over-limit behavior as described in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0050] Figure 1 It is a flowchart of an intelligent perception and early warning method for truck over-limit behavior according to an embodiment of the present application.

[0051] Figure 2 It is a flowchart of the acquisition process of the parameters of the truck related to the overlimit information if the parameters of the truck related to the overlimit information are length, width, and height according to another embodiment of the present application.

[0052] Figure 3 This is a schematic diagram of the acquisition process of the parameters related to over-limit information of a freight truck in another embodiment of the present application. If the parameters related to over-limit information of the freight truck are length, width, height, and load

[0053] Figure 4 This is a schematic diagram of the process for analyzing and determining the average total weight of a freight truck without load according to the correspondence between the freight truck model information and the average total weight without load in another embodiment of the present application.

[0054] Figure 5 This is a schematic diagram of the process for analyzing and determining a treatment plan according to the correspondence between the parameters related to over-limit information of a freight truck and the treatment plan in another embodiment of the present application. If the parameters that do not fall within the parameter range corresponding to the preset over-limit information determined by analysis are only length, width, and height

[0055] Figure 6 This is a schematic diagram of the process for analyzing and determining a treatment plan according to the correspondence between the parameters related to over-limit information of a freight truck and the treatment plan in another embodiment of the present application. If the parameter that does not fall within the parameter range corresponding to the preset over-limit information determined by analysis is only the load Detailed implementation manners

[0056] The present application will be further described in detail below with reference to the accompanying drawings.

[0057] Refer to Figure 1 , which discloses an intelligent perception and warning method for over-limit behaviors of freight trucks according to the present application, including:

[0058] Step S100: Obtain the freight truck model information and the parameters related to over-limit information of the freight truck.

[0059] Among them, the freight truck model information can be analyzed and determined by comparing the image obtained by shooting with the images corresponding to different freight truck model information preset.

[0060] Step S200: Analyze and determine the parameter range corresponding to the preset over-limit information according to the correspondence between the freight truck model information and the parameter range corresponding to the preset over-limit information.

[0061] Step S300: Analyze the parameters that do not fall within the parameter range corresponding to the preset over-limit information determined by analysis according to whether the obtained parameters related to over-limit information of the freight truck fall within the parameter range corresponding to the preset over-limit information determined by analysis.

[0062] Step S400: Analyze and determine the treatment plan according to the correspondence between the parameters related to over-limit information of the freight truck and the treatment plan.

[0063] Among them, the corresponding relationship between the parameters of the truck related to over-limit information and the processing solutions can be queried and obtained from a preset database storing the corresponding relationship between the parameters of the truck related to over-limit information and the processing solutions.

[0064] Step S500: Send the processing solution to the terminal held by the truck driver.

[0065] Among them, the terminal held by the truck driver can be a mobile phone, a computer or other communicable devices.

[0066] In Figure 1 Step S100 of, it is further considered that when the parameters of the truck related to over-limit information are length, width and height, their acquisition methods and how to improve the accuracy of the acquisition of the corresponding parameters are also different. Therefore, it is necessary to further analyze the acquisition of the parameters of the truck related to over-limit information. For specific reference, Figure 2 The embodiments shown are described in detail.

[0067] Referring to Figure 2 , if the parameters of the truck related to over-limit information are length, width and height, the acquisition of the parameters of the truck related to over-limit information includes:

[0068] Step S110: Obtain the detection image of the target truck in the over-limit detection area at the highway intersection.

[0069] Step S120: If the length, width and height of the target truck are extracted from the detection image, then use the extracted length, width and height of the target truck as the length, width and height of the target truck this time.

[0070] Among them, the length, width and height of the target truck are mainly extracted from the detection image through the following methods: The detection image can be analyzed (such as image denoising, edge detection, etc.) to obtain the actual length, actual width and actual height of the target vehicle.

[0071] Step S130: If the length, width and height of the target truck are not extracted from the detection image, then send the on-site detection information to the terminal held by the person in charge of the intersection.

[0072] If the parameter of the truck related to over-limit information is weight, the acquisition of the parameter of the truck related to over-limit information includes: Obtain the load information of the vehicle through a weighing device.

[0073] In Figure 1 Step S100 of, it is also necessary to further consider that when there are contradictions in the different types of parameters obtained, the person in charge of the intersection needs to make a secondary judgment. For specific reference, Figure 3 The embodiments shown.

[0074] Referring to Figure 3 , if the parameters of the truck related to over-limit information are length, width, height and load, the acquisition of the parameters of the truck related to over-limit information includes:

[0075] Step S1A0, based on the detection image of the target truck in the over-limit detection area at the highway intersection, analyze and obtain the type of the goods carried in the truck's cargo area and the length, width, and height of the goods carried in the corresponding type.

[0076] Among them, the type of the goods carried in the truck's cargo area can be identified, extracted, and determined through the detection image.

[0077] Step S1B0, if the types of the goods carried are unified, then based on the corresponding relationship between the preset type of the goods carried and the unit weight, analyze and determine the unit weight of the type of the goods carried.

[0078] Among them, the unit weight of the type of the goods carried can use the type of the goods carried as the query object, and query and obtain the unit weight of the type of the goods carried from the preset database storing the corresponding relationship between the preset type of the goods carried and the unit weight.

[0079] Step S1C0, based on the unit weight of the type of the goods carried and the space volume of the truck's cargo area, analyze and determine the total weight of the type of the goods carried.

[0080] Among them, the calculation of the total weight of the type of the goods carried is as follows: multiply the unit weight of the type of the goods carried by the space volume of the truck's cargo area, and the product of the multiplication is the total weight of the type of the goods carried.

[0081] Step S1D0, based on the corresponding relationship between the truck model information and the average total weight when there is no goods carried, analyze and determine the average total weight of the truck when there is no goods carried.

[0082] Among them, the acquisition of the average total weight of the truck when there is no goods carried is as follows: use the truck model information as the query object, and query and confirm the average total weight of the truck when there is no goods carried from the preset database storing the corresponding relationship between the truck model information and the average total weight when there is no goods carried.

[0083] Step S1E0, based on the analyzed and determined average total weight of the truck when there is no goods carried and the total weight of the type of the goods carried, analyze and obtain the theoretical total load of the truck when carrying goods.

[0084] Among them, the acquisition of the theoretical total load of the truck when carrying goods is as follows: use the sum of the analyzed and determined average total weight of the truck when there is no goods carried and the total weight of the type of the goods carried as the theoretical total load of the truck when carrying goods.

[0085] Step S1F0, if the gap between the theoretical total load of the truck when carrying goods and the obtained total load of the truck exceeds the preset load gap, then send the on-site detection information to the terminal held by the person in charge at the intersection.

[0086] Step S1G0, obtain the parameters of the over-limit information involved in the truck sent by the terminal held by the person in charge at the intersection, and use them as the parameters of the over-limit information involved obtained this time.

[0087] Reference Figure 4 , according to the correspondence between the truck model information and the average total weight when there is no load, analyzing and determining the average total weight of the truck when there is no load includes:

[0088] Step S1D1, obtain the infrared image of the truck, and determine the actual number of people in the truck according to the infrared image.

[0089] Step S1D2, according to the correspondence between the truck model information and the average total weight of different numbers of people when there is no load, analyze and determine the average total weight of the truck when there is no load under the current actual number of people.

[0090] In Figure 1 step S400, when further considering analyzing and determining the processing plan according to the correspondence between the parameters related to the over-limit information of the truck and the processing plan, it is necessary to consider the situation of the parameters that do not fall within the parameter range corresponding to the analyzed and determined preset over-limit information. When the corresponding parameters are only length, width, and height, it is necessary to consider how to place the load to reduce the occurrence of the situation where the corresponding parameters exceed the standard. Specifically, refer to Figure 5 the embodiments shown for detailed description.

[0091] Reference Figure 5 , if the parameters that do not fall within the parameter range corresponding to the analyzed and determined preset over-limit information are only length, width, and height, according to the correspondence between the parameters related to the over-limit information of the truck and the processing plan, analyzing and determining the processing plan includes:

[0092] Step S410, according to the detection image of the truck in the over-limit detection area at the highway intersection, analyze and obtain the type of load in the load area of the truck and the length, width, and height of the load of the corresponding type.

[0093] Step S420, if the types of loads are the same, according to the length, width, and height of the load of the corresponding type and the length, width, and height requirements of the truck load area within the over-limit range, analyze and determine whether there is a placement method that meets the length, width, and height requirements of the truck load area within the over-limit range. If yes, execute step S430; if no, execute step S440.

[0094] Among them, in the process of analyzing and determining whether there is a placement method that meets the length, width, and height requirements of the truck load area within the over-limit range: simulate and set all placement methods according to the current type of load and the length, width, and height situation until the placement method has the highest space utilization rate and is within the over-limit range.

[0095] Step S430, send the analyzed and determined placement method to the terminal held by the truck driver.

[0096] Step S440: Further analyze the maximum load quantity and the arrangement method that meet the length, width, and height requirements of the truck's load area within the over-limit range, and send them to the terminal held by the truck driver.

[0097] Step S450: Obtain the information on whether the truck driver needs the assistance of other trucks for load transportation. If yes, execute Step S460; if no, execute Step S490.

[0098] Step S460: Analyze the at least load space required for the corresponding category of loads according to the surplus load quantity and the length, width, and height of the corresponding category of loads.

[0099] Step S470: Obtain the remaining load space and the location of the other trucks.

[0100] Step S480: Select the terminal held by the truck driver of the truck that meets the requirement of at least load space for the corresponding category of loads and is the closest to the current truck as the object for sending the notice information of auxiliary load transportation this time.

[0101] Step S490: Do not make a notice.

[0102] In Figure 1 Step S400, when further considering analyzing and determining the processing scheme according to the corresponding relationship between the parameters of the over-limit information involved in the truck and the processing scheme, it is necessary to consider the situation of the parameters that do not fall within the parameter range corresponding to the preset over-limit information determined by the analysis. When the corresponding parameter is only the load, it is necessary to consider how to estimate the quantity of loads to be removed, analyze the appropriate trucks that can carry the remaining loads, and make a notice. For specific details, refer to Figure 6 the embodiments shown for a detailed description.

[0103] Refer to Figure 6 , if the parameter that does not fall within the parameter range corresponding to the preset over-limit information determined by the analysis is only the load, according to the corresponding relationship between the parameters of the over-limit information involved in the truck and the processing scheme, the analysis and determination of the processing scheme include:

[0104] Step S4A0: Obtain the information on whether the truck driver needs the assistance of other trucks for load transportation. If yes, execute Step S4B0; if no, execute Step S4F0.

[0105] Step S4B0: Obtain the load information exceeding the preset load.

[0106] Among them, the acquisition of the load information exceeding the preset load is as follows: Obtain the difference between the actual load and the preset load.

[0107] Step S4C0: Analyze and obtain the category of loads in the load area of the truck according to the detection image of the truck in the over-limit detection area at the highway toll station.

[0108] Step S4D0: Analyze and determine the preset single weight and single volume of the cargo category according to the correspondence between the cargo category and the preset single weight and single volume.

[0109] Among them, the analysis and determination of the preset single weight and single volume of the cargo category can be obtained by querying from a preset database storing the correspondence between the cargo category and the preset single weight and single volume.

[0110] Step S4E0: Analyze the terminal held by the truck driver who meets the load and space requirements and is the closest to the current truck based on the load information exceeding the preset load, the preset single weight and single volume of the cargo category, the remaining cargo space and remaining load information of the other trucks, and the location, and use it as the object to send the auxiliary cargo transportation notice information.

[0111] Step S4F0: Do not make a notice.

[0112] The embodiments of this specific implementation manner are all preferred embodiments of this application, and do not limit the protection scope of this application accordingly. Therefore, all equivalent changes made according to the structure, shape, and principle of this application shall be covered within the protection scope of this application.

[0113] Based on the same inventive concept, the embodiments of the present invention provide an intelligent perception and warning system for truck over-limit behavior, including a memory and a processor. The memory stores a program that can be run on the processor to implement any one of the Figures 1 to 6 methods.

[0114] The embodiments of this specific implementation manner are all preferred embodiments of this application, and do not limit the protection scope of this application accordingly. Therefore, all equivalent changes made according to the structure, shape, and principle of this application shall be covered within the protection scope of this application.

Claims

1. An intelligent perception and warning method for over-limit behavior of freight trucks, characterized in that, Including: Obtain the truck model information and the parameters of the over-limit information involved in the truck; According to the corresponding relationship between the truck model information and the parameter range corresponding to the preset over-limit information, analyze and determine the parameter range corresponding to the preset over-limit information; According to whether the parameters of the over-limit information involved in the truck fall into the parameter range corresponding to the preset over-limit information determined by analysis, analyze the parameters that do not fall into the parameter range corresponding to the preset over-limit information determined by analysis; According to the corresponding relationship between the parameters of the over-limit information involved in the truck and the treatment plan, analyze and determine the treatment plan; Send the treatment plan to the terminal held by the truck driver; If the parameters of the over-limit information involved in the truck are length, width, and height, the acquisition of the parameters of the over-limit information involved in the truck includes: Obtain the detection image of the target truck in the over-limit detection area at the highway intersection; If the length, width, and height of the target truck are extracted from the detection image, then use the extracted length, width, and height of the target truck as the length, width, and height of the target truck this time; If the length, width, and height of the target truck are not extracted from the detection image, then send the on-site detection information to the terminal held by the person in charge of the intersection; If the parameters that do not fall into the parameter range corresponding to the preset over-limit information determined by analysis are only length, width, and height, according to the corresponding relationship between the parameters of the over-limit information involved in the truck and the treatment plan, the analysis and determination of the treatment plan includes: According to the detection image of the target truck in the over-limit detection area at the highway intersection, analyze and obtain the load category of the cargo area of the truck and the length, width, and height of the corresponding category of cargo; If the load categories are unified, then according to the length, width, and height of the corresponding category of cargo and the length, width, and height requirements of the truck cargo area within the over-limit range, analyze and determine whether there is a placement method that meets the length, width, and height requirements of the truck cargo area within the over-limit range; If so, send the determined placement method to the terminal held by the truck driver; If not, then further analyze the maximum load quantity and placement method that meet the length, width, and height requirements of the truck cargo area within the over-limit range and send them to the terminal held by the truck driver.

2. The intelligent perception and warning method for over-limit behavior of a freight truck according to claim 1, characterized in that, If the parameter of the over-limit information involved in the truck is weight, the acquisition of the parameter of the over-limit information involved in the truck includes: obtaining the load information of the vehicle through a weighing device.

3. The intelligent perception and warning method for over-limit behavior of trucks according to claim 1, characterized in that, If the parameters of the over-limit information involved in the truck are length, width, height, and load, the acquisition of the parameters of the over-limit information involved in the truck includes: According to the detection image of the target truck in the over-limit detection area at the highway intersection, analyze and obtain the load category of the cargo area of the truck and the length, width, and height of the corresponding category of cargo; If the load categories are unified, then according to the corresponding relationship between the preset load category and the unit weight, analyze and determine the unit weight of the load category; According to the unit weight of the load category and the space volume of the truck cargo area, analyze and determine the total weight of the load category; According to the corresponding relationship between the truck model information and the average total weight without cargo, analyze and determine the average total weight of the truck without cargo; According to the analyzed average total weight of the truck without cargo and the total weight of the load category, analyze and obtain the theoretical total load under cargo of the truck; If the difference between the theoretical total load under cargo of the truck and the obtained total load of the truck exceeds the preset load difference, then send the on-site detection information to the terminal held by the person in charge of the intersection; Obtain the parameters of the over-limit information of the truck sent by the terminal held by the person in charge of the intersection as the parameters for obtaining the over-limit information this time.

4. The intelligent perception and warning method for over-limit behavior of a freight vehicle according to claim 3, characterized in that, According to the correspondence between the truck model information and the average total weight when there is no load, the analysis and determination of the average total weight of the truck when there is no load include: Obtain the infrared image of the truck and determine the actual number of people included in the truck according to the infrared image; According to the correspondence between the truck model information and the average total weight of different numbers of people when there is no load, analyze and determine the average total weight of the truck when there is no load under the current actual number of people.

5. The intelligent perception and warning method for over-limit behavior of a truck according to claim 1, characterized in that, It also includes the steps after further analyzing and sending the maximum load capacity and placement method that meet the length, width, and height requirements of the truck's load area within the over-limit range to the terminal held by the truck driver, specifically as follows: Obtain the information on whether the truck driver needs the assistance of other trucks for load transportation; If it is yes, then according to the excess load quantity and the length, width, and height of the corresponding category of load, analyze the at least load space required for the corresponding category of load; Obtain the remaining load space and location of the other trucks; Select the terminal held by the truck driver that meets the requirement of at least the load space required for the corresponding category of load and is the closest to the current truck as the object for sending the notice information on auxiliary load transportation this time; If it is no, then no notice is made.

6. The intelligent perception and warning method for over-limit behavior of a freight truck according to claim 2, characterized in that If the parameter that does not fall into the parameter range corresponding to the preset over-limit information determined by the analysis is only the load, according to the correspondence between the parameters of the truck's over-limit information and the processing plan, the analysis and determination of the processing plan include: Obtain the information on whether the truck driver needs the assistance of other trucks for load transportation; If it is yes, then obtain the load information exceeding the preset load; According to the detection image of the truck in the over-limit detection area of the highway intersection, analyze and obtain the load category of the truck's load area; According to the correspondence between the load category and the preset single weight and single volume situation, analyze and determine the preset single weight and single volume situation of the load category; According to the load information exceeding the preset load, the preset single weight and single volume situation of the load category, the remaining load space and remaining load information of the other trucks, and the location, analyze and select the terminal held by the truck driver that meets the load and space requirements and is the closest to the current truck as the object for sending the notice information on auxiliary load transportation; If it is no, then no notice is made.

7. An intelligent perception and early warning system for over-limit behavior of freight trucks, characterized in that, Include: It includes a memory, a processor, and a program stored on the memory and executable on the processor. When the program is loaded and executed by the processor, it can implement an intelligent perception and warning method for truck over-limit behavior as described in any one of claims 1 to 6.

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