Coal logistics park weighing vehicle queuing and calling method and system based on artificial intelligence

Abstract

The invention is suitable for the technical field of logistics queuing, and provides a coal logistics park weighing vehicle queuing and calling method and system based on artificial intelligence, and the method comprises the following steps: creating a coal electronic waybill; establishing an electronic fence of the coal logistics park, and judging whether a transport vehicle enters the electronic fence based on GIS and GPS technologies; acquiring a vehicle image, identifying and analyzing the vehicle image to obtain vehicle features, matching the vehicle features with the vehicle information, and determining a corresponding coal electronic waybill; issuing the coal electronic waybill to a corresponding user terminal App, and generating a popup window to be signed in; and receiving a sign-in instruction, enabling the coal electronic waybills with successful sign-in to enter a weighing and queuing mode, and determining a queuing scheme of the coal electronic waybills according to the type of transported coal, the transportation time efficiency, the state of the weighing equipment in each weight house and the existing queuing condition of each weight house. According to the method, the optimal queuing scheme is generated by analyzing the coal type, the time efficiency, the equipment state and the queuing flow, and the queuing waiting time is shortened.

Description

Technical Field

[0001] This invention relates to the field of logistics queuing technology, specifically to an artificial intelligence-based method and system for queuing and calling numbers for weighed vehicles in coal logistics parks. Background Technology

[0002] Coal, as a vital energy source, involves multiple stages in its logistics and transportation, including mines, transit stations, and power plants. The weighing process in logistics parks is a crucial node. With increasing coal demand, hundreds of vehicles are weighed daily in logistics parks, and current queuing management methods are insufficient to meet the demands for efficient, safe, and transparent operations. The current reliance on on-site staff for direction is susceptible to subjective factors, leading to unfair queuing or equipment downtime. Manual management struggles to accurately control order, easily resulting in chaotic queuing, severe vehicle congestion, and even queue jumping and driver disputes, posing significant safety hazards to the park. Furthermore, data such as waybill information, vehicle location, and weighbridge status are scattered and lack real-time integration and dynamic analysis. The weighing process is only initiated when vehicles arrive at the weighbridge, making it impossible to predict traffic flow in advance, leading to congestion during peak periods. Therefore, an AI-based queuing and calling system for coal logistics park weighing vehicles is needed to address these problems. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of this invention is to provide an artificial intelligence-based method and system for queuing and calling weighing vehicles in coal logistics parks, so as to solve the problems existing in the above-mentioned background technology.

[0004] This invention is implemented as follows: a method for queuing and calling numbers for weighing vehicles in a coal logistics park based on artificial intelligence, the method comprising the following steps:

[0005] Create an electronic coal waybill, which includes a waybill number, type of coal to be transported, transport time, and vehicle information, including license plate number, driver's name, mobile phone number, vehicle type, and color.

[0006] Create electronic fences for coal logistics parks and use GIS and GPS technologies to determine whether transport vehicles have entered the electronic fences;

[0007] Images of vehicles entering the electronic fence are collected, and the vehicle images are identified and analyzed to obtain vehicle features. The vehicle features are then matched with vehicle information to determine the corresponding electronic coal waybill.

[0008] The electronic coal waybill is sent to the corresponding user terminal App, generating a pop-up window for check-in.

[0009] Upon receiving the check-in instruction, the electronic coal waybill that has successfully checked in enters the weighing queuing mode. The queuing scheme for the electronic coal waybill is determined based on the type of coal being transported, the transportation time, the status of the weighing equipment in each weighbridge, and the existing queuing situation in each weighbridge. The queuing scheme includes the license plate number, the weighbridge number, and the queue number.

[0010] As a further aspect of the present invention: the step of creating an electronic fence for a coal logistics park and determining whether a transport vehicle has entered the electronic fence based on GIS and GPS technology specifically includes:

[0011] Import the target area map into the GIS platform, draw the boundary of the electronic fence using coordinate points, and determine the buffer zone outside the boundary;

[0012] Real-time vehicle location data is uploaded using GPS technology to determine whether the vehicle is located within the buffer zone.

[0013] When a vehicle is located within the buffer zone, the ray method or the winding number algorithm is used to determine whether the transport vehicle has entered the electronic fence.

[0014] As a further aspect of the present invention: the step of determining the queuing scheme for the electronic coal waybill based on the type of coal being transported, the transport timeframe, the status of the weighing equipment at each weighbridge, and the existing queuing situation at each weighbridge specifically includes:

[0015] Monitor the current queuing situation at each weighbridge. When the number of vehicles queuing at a weighbridge is less than N, retrieve all electronic coal waybills that have entered the weighing queuing mode. N is a fixed value.

[0016] The order in which all electronic coal waybills enter the weighing queuing mode is determined based on the type of coal being transported, the transport time, and the queuing time.

[0017] The waiting time for each weighbridge is predicted based on the status of the weighing equipment and the current queuing situation at each weighbridge.

[0018] Based on the order and waiting time, a weighing room number and queue are assigned to each electronic coal waybill that enters the weighing queuing mode, and a queuing scheme is generated.

[0019] As a further aspect of the present invention: the step of predicting the waiting time for each weighbridge based on the status of the weighing equipment and the existing queuing situation at each weighbridge specifically includes:

[0020] The health status of the weighing equipment in the weighbridge is calculated based on various data related to its condition.

[0021] Retrieve the health status and queuing rate comparison table for each weighing equipment in each weighbridge to determine the queuing rate;

[0022] The waiting time for each weighbridge is predicted based on the queuing rate and the existing queuing situation at the weighbridge.

[0023] As a further aspect of the present invention, the method further includes: sending the queuing plan to the corresponding user terminal App for on-site voice broadcasting and LED digital screen display.

[0024] As a further aspect of the present invention, the method further includes: embedding an electronic map of the logistics park in the user terminal App, and generating navigation information based on the location of the electronic fence and the weighing room number after the queuing plan is issued.

[0025] Another objective of this invention is to provide an artificial intelligence-based queuing and calling system for weighing vehicles in coal logistics parks, the system comprising:

[0026] The electronic waybill creation module is used to create electronic coal waybills. The electronic coal waybill includes a waybill number, type of coal to be transported, transportation time, and vehicle information. The vehicle information includes license plate number, driver's name, mobile phone number, vehicle type, and color.

[0027] The vehicle positioning module is used to create an electronic fence for the coal logistics park and to determine whether a transport vehicle has entered the electronic fence based on GIS and GPS technology.

[0028] The vehicle recognition module is used to collect images of vehicles entering the electronic fence, identify and analyze the vehicle images to obtain vehicle features, match the vehicle features with vehicle information, and determine the corresponding electronic coal waybill.

[0029] The electronic waybill distribution module is used to distribute the electronic coal waybill to the corresponding user terminal App and generate a pop-up window for check-in.

[0030] The queuing scheme generation module is used to receive the check-in instruction, so that the coal electronic waybill that has been successfully checked in enters the weighing queuing mode. The queuing scheme of the coal electronic waybill is determined according to the type of coal being transported, the transportation time, the status of the weighing equipment in each weighbridge, and the existing queuing situation in each weighbridge. The queuing scheme includes the license plate number, the weighbridge number, and the queue number.

[0031] As a further aspect of the present invention: the transport vehicle positioning module includes:

[0032] The electronic fence construction unit is used to import a map of the target area into the GIS platform, draw the boundary of the electronic fence using coordinate points, and determine the buffer zone outside the boundary.

[0033] The buffer zone determination unit is used to upload vehicle location data in real time via GPS technology to determine whether the vehicle is located within the buffer zone.

[0034] The electronic fence determination unit is used to determine whether a transport vehicle has entered the electronic fence when the vehicle's location is within the buffer zone, using either the ray method or the winding number algorithm.

[0035] As a further aspect of the present invention: the queuing scheme generation module includes:

[0036] The queuing situation monitoring unit is used to monitor the current queuing situation of each weighbridge. When the number of vehicles queuing at a weighbridge is less than N, it retrieves all electronic coal waybills that have entered the weighing queuing mode. N is a fixed value.

[0037] The sequence determination unit is used to determine the sequence of all electronic coal waybills entering the weighing queuing mode based on the type of coal being transported, the transportation time, and the queuing time.

[0038] The waiting time determination unit is used to predict the waiting time of each weighbridge based on the status of the weighing equipment in each weighbridge and the existing queuing situation in each weighbridge.

[0039] The queuing scheme generation unit is used to assign a weighing room number and queue to each coal electronic waybill that enters the weighing queuing mode according to the order and waiting time, and generate a queuing scheme.

[0040] As a further aspect of the present invention: the waiting time determination unit includes:

[0041] The health subunit is used to calculate the health status of the weighing equipment in the weighbridge based on various data related to the status of the weighing equipment in the weighbridge.

[0042] The queuing rate subunit is used to retrieve the health status and queuing rate comparison table of each weighing equipment in each weighing room to determine the queuing rate.

[0043] The waiting time sub-unit is used to predict the waiting time for each weighbridge based on the queuing rate and the existing queuing situation at the weighbridge.

[0044] Compared with the prior art, the beneficial effects of the present invention are:

[0045] This invention generates an optimal queuing scheme by analyzing coal type, timeliness, equipment status, and queue flow, reducing weighbridge idle rate and queuing time. Combined with electronic fence-triggered processes, the entire process from waybill matching to queue allocation is automated, resulting in higher efficiency and effectively solving the problems of low efficiency and high management costs associated with manual registration, on-site queuing, and manual verification. Attached Figure Description

[0046] Figure 1 This is a flowchart of an AI-based queuing and numbering system for weighing vehicles in a coal logistics park.

[0047] Figure 2This is a flowchart illustrating the creation of an electronic fence in an AI-based queuing and calling method for weighing vehicles in a coal logistics park.

[0048] Figure 3 This is a flowchart for determining the queuing scheme in an AI-based coal logistics park weighing vehicle queuing and calling method.

[0049] Figure 4 This is a flowchart illustrating the prediction of waiting time in an AI-based queuing and calling method for weighing vehicles in a coal logistics park.

[0050] Figure 5 This is a schematic diagram of an AI-based queuing and calling system for weighing vehicles in a coal logistics park. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0052] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0053] like Figure 1 As shown in the figure, this embodiment of the invention provides a method for queuing and calling numbers for weighing vehicles in a coal logistics park based on artificial intelligence. The method includes the following steps:

[0054] S100, Create an electronic coal waybill, which includes a waybill number, type of coal being transported, transport time, and vehicle information.

[0055] S200 creates an electronic fence for the coal logistics park, using GIS and GPS technology to determine whether transport vehicles have entered the electronic fence.

[0056] S300: Collect images of vehicles entering the electronic fence, identify and analyze the vehicle images to obtain vehicle features, match the vehicle features with vehicle information, and determine the corresponding electronic coal waybill.

[0057] S400, the electronic coal waybill is sent to the corresponding user terminal App, and a pop-up window for check-in is generated;

[0058] S500 receives the check-in instruction, causing the successfully checked-in electronic coal waybill to enter the weighing queuing mode. Based on the type of coal being transported, the transportation time, the status of the weighing equipment in each weighbridge, and the existing queuing situation in each weighbridge, the queuing scheme for the electronic coal waybill is determined. The queuing scheme includes the license plate number, the weighbridge number, and the queue number.

[0059] In this embodiment of the invention, the park administrator first needs to create an electronic coal waybill. The electronic coal waybill includes a waybill number, type of coal being transported, transport time, and vehicle information. Specifically, the vehicle information includes license plate number, driver's name, mobile phone number, vehicle type, and color. Additionally, an electronic fence for the coal logistics park needs to be created beforehand to facilitate subsequent determination of whether transport vehicles have entered the electronic fence using GIS and GPS technology, ensuring more accurate positioning. Furthermore, a high-definition camera needs to be installed at the electronic fence to capture images of vehicles entering the electronic fence. The vehicle images are then analyzed to obtain vehicle characteristics, preferably license plate number, vehicle type, and color. These characteristics are then matched with the vehicle information to determine the matching electronic coal waybill. Next, the electronic coal waybill is automatically sent to the corresponding user terminal App, and a check-in pop-up window is generated on the user terminal App. Each driver user needs to download the App on a smart terminal (e.g., a mobile phone) and register. Registration information includes, but is not limited to, license plate number, driver's name, mobile phone number, vehicle type, and color. The driver clicks the sign-in button in the pop-up window, which is equivalent to inputting a sign-in instruction and is considered a successful sign-in. The successfully signed-in electronic coal waybill then enters the weighing queuing mode. Next, a queuing scheme is determined based on the type of coal being transported, the transport time, the status of the weighing equipment in each weighbridge, and the existing queuing situation in each weighbridge. The queuing scheme includes the license plate number, weighbridge number, and queue number. This embodiment of the invention generates an optimal queuing scheme by analyzing the coal type, timeliness, equipment status, and queue flow, reducing weighbridge idle rates and queuing time. Combined with the electronic fence pre-triggered process, the entire process from waybill matching to queue allocation is automated, making it more efficient. It effectively solves the problems of low efficiency and high management costs associated with manual registration, on-site queuing, and manual verification, as well as the problems of chaotic queuing, congestion, safety hazards, easy loss of paper documents, and difficulty in data traceability. It significantly improves weighing efficiency, reduces vehicle waiting time, alleviates congestion, enhances park management, and allows managers to effectively and promptly grasp the queuing situation of weighed vehicles throughout the logistics park.

[0060] like Figure 2 As shown, in a preferred embodiment of the present invention, the step of creating an electronic fence for a coal logistics park and determining whether a transport vehicle has entered the electronic fence based on GIS and GPS technology specifically includes:

[0061] S201. Import the target area map into the GIS platform, draw the boundary of the electronic fence using coordinate points, and determine the buffer zone outside the boundary.

[0062] S202 uses GPS technology to upload vehicle location data in real time to determine whether the vehicle is located within the buffer zone;

[0063] S203: When the vehicle is located in the buffer zone, use the ray method or the winding number algorithm to determine whether the transport vehicle has entered the electronic fence.

[0064] In this embodiment of the invention, when constructing an electronic fence, the first step is to import a map of the target area into a GIS platform (such as ArcGIS or QGIS). The boundary of the electronic fence is then drawn using coordinate points (such as the coordinates of the four vertices of the target area), and a buffer zone outside the boundary is determined, such as a 100-meter radius outside the boundary. Then, vehicle location data is uploaded in real time via GPS installed in the vehicle, and it is determined whether the vehicle is located within the buffer zone. When the vehicle is located within the buffer zone, electronic fence monitoring is initiated. Specifically, the ray method or the winding number algorithm is used to determine whether the transport vehicle has entered the electronic fence. The ray method involves emitting an infinitely long ray from the point to be measured (vehicle coordinates) in any direction (usually horizontally to the right), and counting the number of intersections between the ray and the polygon boundary. If the number of intersections is odd, the vehicle is inside the fence. The basic idea of ​​the winding number algorithm is to calculate the number of times the point wraps around the polygon boundary (i.e., the total angle change) from the point to be measured in a counter-clockwise direction. If the number of intersections is non-zero, the point is inside the polygon.

[0065] like Figure 3 As shown, in a preferred embodiment of the present invention, the steps for determining the queuing scheme of the electronic coal waybill based on the type of coal being transported, transportation timeliness, the status of the weighing equipment at each weighbridge, and the existing queuing situation at each weighbridge specifically include:

[0066] S501 monitors the current queuing situation at each weighbridge. When the number of vehicles queuing at a weighbridge is less than N, it retrieves all electronic coal waybills that have entered the weighing queuing mode.

[0067] S502, determine the order of all electronic coal waybills entering the weighing queuing mode based on the type of coal being transported, the transportation time, and the queuing time.

[0068] S503 predicts the waiting time for each weighbridge based on the status of the weighing equipment and the current queuing situation in each weighbridge.

[0069] S504, based on the order and waiting time, assign a weighing room number and queue to each electronic coal waybill that enters the weighing queuing mode, and generate a queuing scheme.

[0070] In this embodiment of the invention, the existing queuing situation at each weighbridge is monitored and updated in real time. The queuing situation can be the number of vehicles in queue. When the number of vehicles in queue at a certain weighbridge is less than N (e.g., N=2), all electronic coal waybills that have entered the weighing queuing mode are retrieved. Next, these retrieved electronic coal waybills are processed. The order of these waybills is determined based on the type of coal being transported, the transport time, and the queuing time. Each type of coal has a corresponding priority base. The queuing time refers to the time after entering the weighing queuing mode. The urgency can be obtained by dividing by 1 / (transport time - queuing time). Then, a sequence index is calculated: sequence index = k1 × priority base + k2 × urgency, where k1 and k2 are fixed coefficients. The higher the sequence index, the earlier the corresponding sequence. Then, the waiting time for each weighbridge is predicted based on the status of the weighing equipment and the existing queuing situation at each weighbridge. Finally, based on the sequence and waiting time, a weighbridge number and queue are assigned to each electronic coal waybill that has entered the weighing queuing mode. The lower the waiting time, the earlier the corresponding sequence.

[0071] like Figure 4 As shown, in a preferred embodiment of the present invention, the step of predicting the waiting time for each weighbridge based on the status of the weighing equipment and the existing queuing situation at each weighbridge specifically includes:

[0072] S5031, calculate the health status of the weighing equipment in the weighing room based on various data of the weighing equipment status in the weighing room;

[0073] S5032, retrieve the health status and queuing rate comparison table of each weighing equipment in the weighing room, and determine the queuing rate;

[0074] S5033 predicts the waiting time for each weighbridge based on the queuing rate and the existing queuing situation at the weighbridge.

[0075] In this embodiment of the invention, sensors collect various parameter data of the weighing equipment in the weighbridge in real time, and a health status calculation formula needs to be constructed in advance. The health status can be obtained based on the various parameter data. In addition, a table relating the health status of each weighbridge's equipment to its queuing rate needs to be established, allowing for rapid calculation of the queuing rate. Finally, based on the queuing rate and the current queuing situation at the weighbridge, the waiting time for each weighbridge can be predicted.

[0076] In a preferred embodiment of the present invention, the method further includes: distributing the queuing plan to the corresponding user terminal App for on-site voice broadcasting and LED digital screen display, making the prompts more intuitive and eye-catching. Additionally, an electronic map of the logistics park is embedded in the user terminal App. After the queuing plan is distributed, navigation information is generated based on the electronic fence location and weighbridge room number, facilitating drivers to quickly reach the accurate weighing location.

[0077] like Figure 5 As shown in the figure, this embodiment of the invention also provides an artificial intelligence-based coal logistics park weighing vehicle queuing and calling system, the system comprising:

[0078] The electronic waybill creation module 100 is used to create electronic coal waybills. The electronic coal waybill includes a waybill number, type of coal to be transported, transportation time, and vehicle information. The vehicle information includes license plate number, driver's name, mobile phone number, vehicle type, and color.

[0079] The transport vehicle positioning module 200 is used to create an electronic fence for the coal logistics park and to determine whether a transport vehicle has entered the electronic fence based on GIS and GPS technology.

[0080] The vehicle identification module 300 is used to collect images of vehicles entering the electronic fence, identify and analyze the vehicle images to obtain vehicle features, match the vehicle features with vehicle information, and determine the corresponding electronic coal waybill.

[0081] The electronic waybill distribution module 400 is used to distribute the electronic coal waybill to the corresponding user terminal App and generate a pop-up window for check-in.

[0082] The queuing scheme generation module 500 is used to receive the check-in instruction, so that the coal electronic waybill that has been successfully checked in enters the weighing queuing mode. The queuing scheme of the coal electronic waybill is determined according to the type of coal being transported, the transportation time, the status of the weighing equipment in each weighbridge, and the existing queuing situation in each weighbridge. The queuing scheme includes the license plate number, the weighbridge number, and the queue number.

[0083] In a preferred embodiment of the present invention, the transport vehicle positioning module 200 includes:

[0084] The electronic fence construction unit is used to import a map of the target area into the GIS platform, draw the boundary of the electronic fence using coordinate points, and determine the buffer zone outside the boundary.

[0085] The buffer zone determination unit is used to upload vehicle location data in real time via GPS technology to determine whether the vehicle is located within the buffer zone.

[0086] The electronic fence determination unit is used to determine whether a transport vehicle has entered the electronic fence when the vehicle's location is within the buffer zone, using either the ray method or the winding number algorithm.

[0087] In a preferred embodiment of the present invention, the queuing scheme generation module 500 includes:

[0088] The queuing situation monitoring unit is used to monitor the current queuing situation of each weighbridge. When the number of vehicles queuing at a weighbridge is less than N, it retrieves all electronic coal waybills that have entered the weighing queuing mode. N is a fixed value.

[0089] The sequence determination unit is used to determine the sequence of all electronic coal waybills entering the weighing queuing mode based on the type of coal being transported, the transportation time, and the queuing time.

[0090] The waiting time determination unit is used to predict the waiting time of each weighbridge based on the status of the weighing equipment in each weighbridge and the existing queuing situation in each weighbridge.

[0091] The queuing scheme generation unit is used to assign a weighing room number and queue to each coal electronic waybill that enters the weighing queuing mode according to the order and waiting time, and generate a queuing scheme.

[0092] In a preferred embodiment of the present invention, the waiting time determination unit includes:

[0093] The health subunit is used to calculate the health status of the weighing equipment in the weighbridge based on various data related to the status of the weighing equipment in the weighbridge.

[0094] The queuing rate subunit is used to retrieve the health status and queuing rate comparison table of each weighing equipment in each weighing room to determine the queuing rate.

[0095] The waiting time sub-unit is used to predict the waiting time for each weighbridge based on the queuing rate and the existing queuing situation at the weighbridge.

[0096] The above description only details the preferred embodiments of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0097] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0098] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0099] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the disclosure in the specification and embodiments. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the claims.

Claims

1. An artificial intelligence-based coal logistics park weighing vehicle queuing call number method, characterized in that, The method comprises the following steps: create a coal electronic waybill, which includes a waybill number, a transported coal type, a transportation time limit and vehicle information, the vehicle information including a license plate number, a driver's name, a mobile phone number, a vehicle type and a color; create an electronic fence of the coal logistics park, and determine whether the transport vehicle enters the electronic fence based on GIS and GPS technologies; collect vehicle images entering the electronic fence, identify and analyze the vehicle images to obtain vehicle features, match the vehicle features with the vehicle information, and determine the corresponding coal electronic waybill; issue the coal electronic waybill to the corresponding user terminal App to generate a pop-up window to be signed in; receive a sign-in instruction, so that the coal electronic waybill that successfully signs in enters a weighing queuing mode, determine a queuing scheme of the coal electronic waybill according to the transported coal type, the transportation time limit, the state of each weighing device of the scale house and the existing queuing situation of each scale house, and the queuing scheme includes a license plate number, a weighing scale house number and a queuing number.

2. The method according to claim 1, wherein, The step of creating an electronic fence of the coal logistics park and determining whether the transport vehicle enters the electronic fence based on GIS and GPS technologies specifically comprises: import a target area map in a GIS platform, draw the boundary of the electronic fence through coordinate points, and determine a buffer zone outside the boundary; upload vehicle position data in real time through GPS technology, and determine whether the vehicle position is located in the buffer zone; when the vehicle position is located in the buffer zone, use a ray method or a winding number algorithm to determine whether the transport vehicle enters the electronic fence.

3. The method of claim 1, wherein the method is based on artificial intelligence. The step of determining the queuing scheme of the coal electronic waybill according to the transported coal type, the transportation time limit, the state of each weighing device of the scale house and the existing queuing situation of each scale house specifically comprises: monitor the existing queuing situation of each scale house, and when the number of queuing vehicles of a scale house is less than N, call all the coal electronic waybills entering the weighing queuing mode, N being a constant value; determine the order of all the coal electronic waybills entering the weighing queuing mode according to the transported coal type, the transportation time limit and the queuing time; predict the waiting time of each scale house according to the state of each weighing device of the scale house and the existing queuing situation of each scale house; allocate a weighing scale house number and a queue for each coal electronic waybill entering the weighing queuing mode according to the order and the waiting time, and generate the queuing scheme.

4. The method according to claim 3, wherein, The step of predicting the waiting time of each scale house according to the state of each weighing device of the scale house and the existing queuing situation of each scale house specifically comprises: calculate the health degree of the scale house weighing device according to the data of the state of the scale house weighing device; call a health degree and queuing rate table of each scale house weighing device to determine the queuing rate; predict the waiting time of each scale house according to the queuing rate and the existing queuing situation of the scale house.

5. The method of claim 1, wherein the method is based on artificial intelligence. The method further comprises: issuing the queuing scheme to the corresponding user terminal App, and performing on-site voice broadcast and LED digital screen display.

6. The method of claim 5, wherein the method further comprises: The method further comprises: embedding an electronic map of the logistics park in the user terminal App, and generating navigation information according to the position of the electronic fence and the weighing scale house number after the queuing scheme is issued.

7. The queuing and calling system for weighing vehicles in a coal logistics park based on artificial intelligence, characterized in that, The system comprises: An electronic waybill creation module is configured to create a coal electronic waybill, which includes a waybill number, a coal type, a transportation time limit, and vehicle information, the vehicle information including a license plate number, a driver's name, a mobile phone number, a vehicle type, and a color; A transportation vehicle positioning module is configured to create an electronic fence of the coal logistics park and determine whether a transportation vehicle enters the electronic fence based on GIS and GPS technologies; A vehicle identification module is configured to collect a vehicle image entering the electronic fence, identify and analyze the vehicle image to obtain vehicle features, match the vehicle features with the vehicle information, and determine a corresponding coal electronic waybill; An electronic waybill issuing module is configured to issue the coal electronic waybill to a corresponding user terminal App and generate a pop-up window to be signed; A queuing scheme generation module is configured to receive a signing instruction, make a coal electronic waybill with a successful signing enter a weighing queuing mode, determine a queuing scheme of the coal electronic waybill according to a coal type, a transportation time limit, a state of a weighing device of each scale house, and an existing queuing situation of each scale house, and the queuing scheme including a license plate number, a weighing scale house number, and a queuing number.

8. The artificial intelligence-based coal logistics park vehicle weighing queuing number calling system according to claim 7, characterized in that, The transportation vehicle positioning module includes: An electronic fence construction unit is configured to import a target area map in a GIS platform, draw a boundary of the electronic fence through coordinate points, and determine a buffer zone outside the boundary; A buffer zone determination unit is configured to upload vehicle position data in real time through GPS technology and determine whether the vehicle position is located in the buffer zone; An electronic fence determination unit is configured to determine whether a transportation vehicle enters the electronic fence using a ray method or a winding number algorithm when the vehicle position is located in the buffer zone.

9. The artificial intelligence-based coal logistics park vehicle weighing queuing number calling system according to claim 7, characterized in that, The queuing scheme generation module includes: A queuing situation monitoring unit is configured to monitor an existing queuing situation of each scale house, and when the number of queuing vehicles of a scale house is less than N, all coal electronic waybills entering the weighing queuing mode are called, N being a constant value; An order situation determination unit is configured to determine an order situation of all coal electronic waybills entering the weighing queuing mode according to a coal type, a transportation time limit, and a queuing time; A waiting time determination unit is configured to predict a waiting time of each scale house according to a state of a weighing device of each scale house and an existing queuing situation of each scale house; A queuing scheme generation unit is configured to allocate a weighing scale house number and a queue for each coal electronic waybill entering the weighing queuing mode according to the order situation and the waiting time, and generate a queuing scheme.

10. The artificial intelligence-based coal logistics park vehicle weighing queuing number calling system according to claim 9, characterized in that, The waiting time determination unit includes: A health degree sub-unit is configured to calculate a health degree of a scale house weighing device according to each data of the state of the scale house weighing device; A queuing rate sub-unit is configured to call a health degree and a queuing rate table of each scale house weighing device to determine a queuing rate; A waiting time sub-unit is configured to predict a waiting time of each scale house according to the queuing rate and the existing queuing situation of the scale house.

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