A multi-dimensional fusion automobile production line planning feasibility verification system and method

Abstract

The application discloses a kind of multi-dimensional fusion's automobile production line planning feasibility verification system and method, including modeling unit obtains design parameter, matches two-dimensional vector model library, determines two-dimensional production line, according to two-dimensional production line, matches three-dimensional vector model library, determines virtual production line;Collision detection unit obtains collision detection data, and collision detection data is substituted into virtual production line to carry out collision detection, and collision result is obtained;Through the detection unit obtains through verification parameter, and through verification parameter is substituted into virtual production line to carry out passability verification, and pass result is obtained;Evaluation unit obtains beat parameter according to collision result and pass result, and beat parameter is substituted into virtual production line, and production line production efficiency is obtained.The technical problem that existing technology cannot verify the feasibility of production line when automobile production line planning is solved.The technical effect that the reliability of virtual production line simulation is improved is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobile production, and particularly relates to a multi-dimensional fusion automobile production line planning feasibility verification system and method. BACKGROUND

[0002] With the development of technology, most of the links in the automobile manufacturing process have been automated. For example, robots are used for welding, painting and assembly operations, and automatic guided vehicles are used to transport parts. Through automation technology, production efficiency can be improved, labor costs can be reduced, and product quality consistency and stability can be ensured.

[0003] At present, a large number of automobile production line simulations begin to use computer simulation software to establish a virtual model of the automobile production line, simulate and optimize each link. Help evaluate the production efficiency, cycle time, resource utilization rate and other indicators of the automobile production line, and predict potential problems. By collecting and analyzing relevant data such as demand, parts supply, personnel allocation, etc., it can be determined whether the current production capacity meets market demand and predict future production capacity requirements. In addition, data analysis can also be used to find out problems such as bottleneck links and short resources.

[0004] At present, there is no effective solution to the technical problem that the feasibility of the automobile production line cannot be verified when the automobile production line is planned in the prior art. SUMMARY

[0005] The purpose of the present application is to provide a multi-dimensional fusion automobile production line planning feasibility verification system and method, which solves the technical problem that the feasibility of the automobile production line cannot be verified when the automobile production line is planned in the prior art.

[0006] In order to achieve the above object, the present application adopts the following technical scheme: a modeling unit acquires design parameters, matches a two-dimensional vector model library, determines a two-dimensional production line, matches a three-dimensional vector model library according to the two-dimensional production line, and determines a virtual production line, wherein the two-dimensional production line comprises a two-dimensional plan, a two-dimensional link of the production line, and a conveying relationship of each link, the virtual production line comprises at least one production line, at least one node, and at least one intersection; a collision detection unit acquires collision detection data, substitutes the collision detection data into the virtual production line for collision detection, and obtains a collision result, wherein the collision detection data at least comprises a vehicle body size, a production line length, a vehicle body speed, a safety distance, and front and rear vehicle position information; a detection unit acquires passing verification parameters, substitutes the passing verification parameters into the virtual production line for passing verification, and obtains a passing result, wherein the passing verification parameters at least comprise the length of the production line, an empty vehicle waiting time of the AGV, an empty vehicle driving time of the AGV, a loaded vehicle driving time of the AGV, and a material loading and unloading switching time, and the passing result comprises an AGV flow, a production line occupancy rate, and an average passing time of the AGV; an evaluation unit acquires a beat parameter according to the collision result and the passing result, substitutes the beat parameter into the virtual production line, and obtains a production line production efficiency, and when the production line production efficiency does not reach a preset value, the beat parameter is optimized until the production line production efficiency reaches the preset value.

[0007] Further provided is that a data acquisition unit acquires the vehicle body size according to the size of a rectangular bounding box constructed by the AGV, the vehicle body speed comprises an empty vehicle speed and a loaded vehicle speed, and the safety distance is the distance between the AGV and the node, wherein the vehicle body speed is a uniform speed.

[0008] Further provided is that a distance measuring unit is used to determine whether the AGV is occupied according to the safety distance, and when the safety distance is less than 2 meters, the AGV is in a safe range and the node is in an occupied state.

[0009] Further provided is that a first acquisition module is used to acquire conveying driving information of the AGV when the AGV is in the safe range, wherein the conveying driving information at least comprises the position of the AGV, the speed of the AGV, the task of the AGV, and the process area in which the AGV is located; and a second acquisition module is used to acquire the condition of each node and whether the next node in the driving direction of the AGV is occupied when the AGV is in the safe range, wherein the condition of the node at least comprises the distance between the node and the AGV and whether the node is occupied.

[0010] Further provided is that a warning unit is used to issue a collision warning when a warning distance is less than 2 meters, and stop the AGV from running when the warning distance is less than 1 meter, wherein the front and rear vehicle position information comprises the warning distance, and the warning distance is the distance between any two adjacent AGVs.

[0011] The first calculation module is further configured to obtain AGV flow according to the number of AGVs passing through a node and monitoring time, obtain the occupancy rate of the production line according to the effective operation time of the production line and the total production time of the production line, and obtain the average passing time according to the total passing time of AGVs on a single production line and the number of AGVs passing through, wherein the monitoring time is the time for counting the number of vehicles, the unit is second, the total passing time of AGVs is the sum of the time of all AGVs passing through the production line or intersection, and the number of AGVs passing through is the number of AGVs passing through the production line or intersection in the total passing time of AGVs on a single production line.

[0012] The simulation unit is further configured to substitute the beat parameters into the virtual production line to obtain the production time of a single vehicle, wherein the beat parameters at least include the number of AGVs, the speed of AGVs, the number of stations, the parameters of process lines, the initialization positions of logistics AGVs and process AGVs, the travel paths of process AGVs, the travel paths of logistics AGVs, the buffer zone configuration, and the assembly area size parameters, and the parameters of process lines include the number of process lines, the parameters of process lines, the length of process lines, the assembly time of process lines, and the inlet and outlet configurations of process lines.

[0013] The simulation unit is further configured to substitute the beat parameters into the virtual production line to obtain the production time of at least two process partitions and the partition production rate, wherein the process partition is a region divided according to the processing type, the production time is the production time of a single device, and the partition production rate is the ratio of the number of devices produced in a preset time to the preset time.

[0014] The optimization unit is further configured to adjust the beat parameters according to the at least two partition production rates, and calculate the comprehensive production rate according to the adjusted beat parameters.

[0015] In order to achieve the above-mentioned purpose, according to another aspect of the present application, a multi-dimensional fusion automobile production line planning feasibility verification method is provided, which comprises: obtaining design parameters, matching a two-dimensional vector model library, determining a two-dimensional production line, matching a three-dimensional vector model library according to the two-dimensional production line, and determining a virtual production line, wherein the two-dimensional production line comprises a two-dimensional plan, a two-dimensional link of the production line, and a conveying relationship of each link, and the virtual production line comprises at least one production line, at least one node, and at least one intersection; obtaining collision detection data, substituting the collision detection data into the virtual production line for collision detection, and obtaining a collision result, wherein the collision detection data at least comprises a vehicle body size, a production line length, a vehicle body speed, a safety distance, and vehicle position information; obtaining a passing verification parameter, substituting the passing verification parameter into the virtual production line for passing verification, and obtaining a passing result, wherein the passing verification parameter at least comprises a length of the production line, a waiting time of an AGV empty car, a driving time of the AGV empty car, a driving time of the AGV loaded car, and a material loading and unloading switching time, and the passing result comprises an AGV flow, a production line occupancy rate, and an average passing time of the AGV; obtaining a beat parameter according to the collision result and the passing result, substituting the beat parameter into the virtual production line, and obtaining a production line production efficiency, and when the production line production efficiency does not reach a preset value, the beat parameter is optimized until the production line production efficiency reaches the preset value.

[0016] Compared with the prior art, the present application has the following beneficial technical effects:

[0017] 1. The passing verification and collision detection verify the feasibility of the production line, thereby reducing the cost and risk.

[0018] 2. The production line operation at different time scales is simulated, thereby improving the accuracy of the production line simulation data and improving the reliability of the virtual production line simulation. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the following embodiment or prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0020] Figure 1 FIG. 1 is a schematic diagram of a multi-dimensional fusion automobile production line planning feasibility verification system according to the present application;

[0021] Figure 2 FIG. 2 is a schematic diagram of a multi-dimensional fusion automobile production line planning feasibility verification method according to the present application. DETAILED DESCRIPTION

[0022] The technical solutions of the present application will be described clearly and completely in combination with the drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0023] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second", "third" are only for the purpose of description, and cannot be understood as indicating or implying relative importance.

[0024] In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0025] Example 1

[0026] Reference Figure 1The application discloses a multi-dimensional fusion automobile production line planning feasibility verification system, which comprises a modeling unit, a collision detection unit, a passing verification unit and an evaluation unit.

[0027] The automobile production line feasibility verification system comprises a production line two-dimensional model library and a production line three-dimensional model library, an automobile assembly panoramic overview and an evaluation unit; the automobile assembly production line two-dimensional production line planning scene and the three-dimensional digital twin scene are constructed through the production line two-dimensional model library and the production line three-dimensional model library, and the whole automobile assembly process is reproduced; based on the automobile assembly production line twin scene, the design data of an existing real assembly production line planning is substituted, a production line evaluation method meeting the production line feasibility evaluation rules is designed, a production line feasibility evaluation model is designed, various indexes of the production line are calculated, and the production line planning feasibility is evaluated. The test is carried out in a virtual environment, the cost and risk required for actual production line planning verification are reduced, various conditions of actual production lines are simulated quickly, the modified production line is tested, a large amount of time and manpower cost is saved, the running conditions of the production line under different time scales are predicted and simulated, high precision and reliability are achieved, and the production line can be better guided to plan and design.

[0028] Optionally, the data acquisition unit acquires the vehicle body size according to the size of the rectangular bounding box constructed by the AGV, the vehicle body speed comprises an empty vehicle speed and a loaded speed, and the safety distance is the distance between the AGV and the node.

[0029] Optionally, the distance measuring unit is used to determine whether the AGV is occupied according to the safety distance; when the safety distance is less than 2 meters, the AGV is in a safe range and the node is in an occupied state.

[0030] Optionally, the first acquisition module is configured to acquire the conveying running information of the AGV when the AGV is in the safety range, wherein the conveying running information at least includes the position of the AGV, the speed of the AGV, the task of the AGV, and the process area where the AGV is located; and the second acquisition module is configured to acquire the situation of each node and whether the next node in the running direction of the AGV is occupied when the AGV is in the safety range, wherein the situation of the node at least includes the distance between the node and the AGV and whether the node is occupied.

[0031] In the above, the AGV is verified at special places, such as local intersections and restricted spaces, such as columns and walls. The AGV is bound to the center axis of the travel path. Since the actual travel of the AGV will deviate, whether the deviation distance is within the safety range is obtained by emitting laser to detect obstacles and calculating the distance.

[0032] The process of collision detection is as follows: after inputting the AGV parameters, including the body length, process line length (path), body speed (including empty car speed and load speed), safety distance, and front and rear vehicle position information, the output data includes: 1) the AGV plus its own body distance from the next node within the safety range (2 meters), indicating that the node is occupied; 2) when the AGV is within the safety range of the next node, calculate all process AGV conveying running information (mainly including position, speed, car task, and process area), analyze the utilization of each node and the occupation of the node to which the AGV will travel; 3) the AGV usually travels at a constant speed, without considering acceleration or deceleration; 4) based on the layout simulation model established according to the actual running environment of the site, the logistics simulation is carried out based on the verified parameters, combined with the virtual simulation time, the simulation data is obtained, and the simulation data is analyzed to verify whether the process AGV strategy has the possibility of collision and congestion, and whether it needs to be adjusted and optimized. Collision detection detects whether the planned production line is reasonable, improves the safety of the production line, and reduces the risk of accidents on the automobile production line.

[0033] Optionally, the warning unit is configured to issue a collision warning when the warning distance is less than 2 meters, and stop the AGV when the warning distance is less than 1 meter, wherein the front and rear vehicle position information includes the warning distance, and the warning distance is the distance between any two adjacent AGVs.

[0034] In the above, in the three-dimensional virtual scene, a bounding box is first selected to form a rectangular bounding box for the AGV, wherein the distance between the car bounding box and the nearest AGV is detected by using the vertical laser ray, and the distance change is calculated according to the car speed, a collision warning is issued when the distance is less than 2 meters, and the car stops running when the distance is less than 1 meter. The safety of the automobile production line is ensured by the warning.

[0035] Optionally, the first calculation module is configured to obtain AGV flow according to the number of AGVs passing through a node and monitoring time, to obtain the occupancy rate of the production line according to the effective operation time of the production line and the total production time of the production line, and to obtain the average passing time according to the total passing time of AGVs on a single production line and the number of AGVs passing through, wherein the monitoring time is the time for counting the number of vehicles, in seconds, the total passing time of AGVs is the sum of the times of all AGVs passing through the production line or intersection, and the number of AGVs passing through is the number of AGVs passing through the production line or intersection within the total passing time of AGVs on a single production line.

[0036] In the above, a number of special production lines are selected, a number of parallel islands are arranged in the production lines, so that the vehicle flow can pass normally on the intersection line (the intersection of several AGVs) during the transfer process, the beat, the AGV running speed, and the running rules (work sequence) are selected; simulation verification is performed on the virtual island, the setting parameters are adjusted, a complete set of theoretical parameters is obtained, and the boundary of the production line can be appropriately optimized and modified through the set of theoretical parameters. Select AGV beat, production line length, empty vehicle waiting time, empty vehicle driving time, loaded vehicle driving time, material loading and unloading switching time; running rules: AGV first-in-first-out principle, blocking waiting principle; the production line passability is mainly calculated by configuring the above parameters, and the passability of the special production line is calculated in the following manner: the AGV flow of the current production line is calculated, the occupancy rate of the production line within a period of time is calculated, and the average passing time is calculated. Compare and analyze the production line vehicle flow, occupancy rate, and passing time to evaluate the passability. The calculation method is,

[0037]

[0038] Through the above passability verification, the passing result is obtained, the passability of the virtual production line is evaluated, the reasonable operation of the automobile production line is ensured, and the operation risk of the automobile production line is reduced.

[0039] Optionally, the simulation unit is configured to substitute the beat parameters into the virtual production line to obtain the production time of a single vehicle, wherein the beat parameters at least include the number of AGVs, the speed of AGVs, the number of stations, the parameters of process lines, the initialization positions of logistics AGVs and process AGVs, the travel paths of process AGVs, the travel paths of logistics AGVs, buffer zone configuration, assembly area size parameters, the parameters of process lines include the number of process lines, the parameters of process lines, the length of process lines, the assembly time of process lines, and the inlet and outlet configurations of process lines.

[0040] Therefore, the length of the production time of a single vehicle can be related to the reliability, quality, production efficiency, and parts supply chain and spare parts support of the vehicle. By comparing the off-line time, line evaluation and improvement can be achieved. If the off-line time of a vehicle is short, it means that the reliability of the line is high, and there is almost no failure or maintenance. On the contrary, if the off-line time of a vehicle is long, it means that there are more failures or coordination problems on the line, and more time is needed for assembly and debugging.

[0041] Optionally, the simulation unit is configured to input the beat parameters into the virtual production line to obtain the production time of at least two process partitions and the partition production rate, wherein the process partition is a region divided according to the processing type, the production time is the production time of a single device, and the partition production rate is the ratio of the number of devices produced in a preset time to the preset time.

[0042] Therefore, based on the virtual production line, the beat parameters are configured, mainly including the number of trolleys, the speed of AGV trolleys, the number of stations, the number of process lines, process line parameters (length, assembly time, etc.), process line inlet and outlet configuration, logistics AGV and process AGV initialization position, process AGV travel path, logistics AGV travel path, buffer zone configuration, and assembly area size parameters.

[0043] Optionally, the optimization unit is configured to adjust the beat parameters according to the production rates of at least two partitions, and calculate the comprehensive production rate according to the adjusted beat parameters.

[0044] Therefore, first, the overall production time is considered. The production time of each region of the production line is the same, and the time of any region can be used as the overall production time. Assuming that the overall production time is 1 hour, if region A completes the assembly of 40 vehicles in 1 hour and region B completes the assembly of 30 vehicles in the same hour, the production rate is calculated using the formula production rate = number of completed vehicles / time, and the production rates of each region are obtained. The production rates of each region can be compared horizontally, and the production line can be adjusted to make the production line more stable and improve the production bottleneck. The overall production rate calculation is mainly to consider the overall production capacity of the production line. Through the above calculation steps, the production rates of different regions and the overall production rate can be obtained. These indicators can help evaluate and monitor the efficiency of each region and the overall production of the assembly line, and provide a basis for improvement and optimization.

[0045] Therefore, when the virtual production line cannot meet the production demand, the production cycle of the production line is adjusted according to the single-variable, double-variable and multi-variable analysis principles, the line downtime is calculated, for example, the work station configuration is adjusted, the production efficiency of the adjusted production line is calculated again according to the above logic; the AGV path is adjusted, the production efficiency of the adjusted production line is calculated again according to the above logic; the number of AGVs is adjusted, the production efficiency of the adjusted production line is calculated again according to the above logic. The production line is optimized by changing the cycle parameters to achieve the technical effect of improving the production efficiency.

[0046] The working principle and beneficial effects of the present application are as follows: the passability and feasibility of the automobile production line are verified through the simulation of the virtual production line, thereby achieving the technical effects of reducing costs and risks, and the production line operation under different time scales is simulated, thereby improving the accuracy of the production line simulation data and achieving the technical effect of improving the reliability of the virtual production line simulation.

[0047] Reference Figure 2 A multi-dimensional fusion automobile production line planning feasibility verification method is disclosed, which comprises the following steps: obtaining design parameters, matching a two-dimensional vector model library, determining a two-dimensional production line, matching a three-dimensional vector model library according to the two-dimensional production line, and determining a virtual production line. The two-dimensional production line comprises a two-dimensional plan, a two-dimensional link of the production line and a conveying relationship of each link. The virtual production line comprises at least one production line, at least one node and at least one intersection. Collision detection data is obtained, and the collision detection data is substituted into the virtual production line for collision detection to obtain a collision result. The collision detection data at least comprises a vehicle body size, a production line length, a vehicle body speed, a safety distance and vehicle position information. Verification parameters are obtained, and the verification parameters are substituted into the virtual production line for passability verification to obtain a pass result. The verification parameters at least comprise the length of the production line, the waiting time of an AGV empty vehicle, the driving time of the AGV empty vehicle, the driving time of the AGV loaded vehicle and the material loading and unloading switching time. The pass result comprises the flow of the AGV, the occupancy rate of the production line and the average pass time of the AGV. The cycle parameters are obtained according to the collision result and the pass result, and the cycle parameters are substituted into the virtual production line to obtain a production line production efficiency. When the production line production efficiency does not reach a preset value, the cycle parameters are optimized until the production line production efficiency reaches the preset value.

[0048] Optionally, the vehicle body size is obtained according to the size of the rectangular bounding box constructed by the AGV. The vehicle body speed comprises an empty vehicle speed and a loaded vehicle speed. The safety distance is the distance between the AGV and the node. The vehicle body speed is a uniform speed.

[0049] Optionally, whether the AGV is occupied is determined according to the safety distance. When the safety distance is less than 2 meters, the AGV is in a safety range and the node is in an occupied state.

[0050] Optionally, when the AGV is in the safety range, conveying running information of the AGV is acquired, wherein the conveying running information at least includes a position of the AGV, a speed of the AGV, a task of the AGV, and a process area in which the AGV is located; when the AGV is in the safety range, a situation of each node and whether a next node in a running direction of the AGV is occupied are acquired, wherein the situation of the node at least includes a distance between the node and the AGV and whether the node is occupied.

[0051] Optionally, when the early warning distance is less than 2 meters, a collision early warning is given, and when the early warning distance is less than 1 meter, the AGV stops running, wherein the front and rear vehicle position information includes the early warning distance, and the early warning distance is a distance between any two adjacent AGVs.

[0052] Optionally, AGV flow is acquired according to a number of AGVs passing through a node and a monitoring time, an occupancy rate of the production line is acquired according to an effective running time of the production line and a total production time of the production line, and an average passing time is acquired according to a total passing time of AGVs on a single production line and a number of AGVs passing through, wherein the monitoring time is a time for counting the number of vehicles, the unit is second, the total passing time of AGVs is a sum of times of all AGVs passing through the production line or the intersection, and the number of AGVs passing through is a number of AGVs passing through the production line or the intersection in the total passing time of AGVs on a single production line.

[0053] Optionally, a production time of a single vehicle is acquired by substituting the beat parameters into the virtual production line, wherein the beat parameters at least include a number of AGVs, a speed of the AGVs, a number of stations, parameters of process lines, initial positions of logistics AGVs and process AGVs, a travel path of the process AGVs, a travel path of the logistics AGVs, a buffer zone configuration, and a size parameter of an assembly area, and the parameters of the process lines include a number of process lines, parameters of the process lines, a length of the process lines, an assembly time of the process lines, and an inlet and outlet configuration of the process lines.

[0054] Optionally, a production time of at least two process sub-zones and a sub-zone production rate are acquired by substituting the beat parameters into the virtual production line, wherein the process sub-zone is a region divided according to a processing type, the production time is a production time of a single device, and the sub-zone production rate is a ratio of a production number of a single device in a preset time to the preset time.

[0055] Optionally, the beat parameters are adjusted according to the at least two sub-zone production rates, and a comprehensive production rate is calculated according to the adjusted beat parameters.

[0056] The working principle and beneficial effects of the present application are: the passability and feasibility of the automobile production line are verified through the simulation of the virtual production line, the technical effects of reducing cost and reducing risk are achieved, and the production line operation under different time scales is simulated, the accuracy of the production line simulation data is improved, and the technical effect of improving the reliability of the virtual production line simulation is achieved.

[0057] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing examples, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A multi-dimensional fused automotive production line planning feasibility verification system, characterized in that, The method comprises the following steps: The modeling unit acquires design parameters, matches a two-dimensional vector model library, determines a two-dimensional production line, matches a three-dimensional vector model library according to the two-dimensional production line, and determines a virtual production line, wherein the two-dimensional production line comprises a two-dimensional plan, a two-dimensional link of the production line, and a conveying relationship of each link, and the virtual production line comprises at least one production line, at least one node, and at least one intersection. The collision detection unit acquires collision detection data, substitutes the collision detection data into the virtual production line for collision detection, and acquires a collision result, wherein the collision detection data at least comprises a vehicle body size, a production line length, a vehicle body speed, a safety distance, and position information of front and rear vehicles. The passing unit acquires passing verification parameters, substitutes the passing verification parameters into the virtual production line for passing verification, and acquires a passing result, wherein the passing verification parameters at least comprise the length of the production line, an empty vehicle waiting time of an AGV, an empty vehicle running time of the AGV, a loaded vehicle running time of the AGV, and a material loading and unloading switching time, and the passing result comprises an AGV flow, a production line occupancy rate, and an average passing time of the AGV. The passing verification parameters are substituted into the virtual production line for passing verification, and a passing result is acquired, comprising: a first calculation module is used for acquiring the AGV flow according to the number of AGVs passing a node and a monitoring time, acquiring the production line occupancy rate according to an effective operation time of the production line and a total production time of the production line, and acquiring the average passing time according to a total passing time of the AGV on a single production line and the number of AGVs passing the single production line, wherein the monitoring time is a time for counting the number of vehicles, the unit is second, the total passing time of the AGV is the sum of the time of all AGVs passing the production line or the intersection, and the number of AGVs passing is the number of AGVs passing the production line or the intersection within the total passing time of the AGV on the single production line. The evaluation unit acquires a beat parameter according to the collision result and the passing result, substitutes the beat parameter into the virtual production line, acquires a production line production efficiency, and optimizes the beat parameter when the production line production efficiency does not reach a preset value until the production line production efficiency reaches the preset value.

2. The multi-dimensional fused automotive production line planning feasibility verification system of claim 1, wherein, The collision detection data is substituted into the virtual production line for collision detection, and a collision result is acquired, comprising: The data acquisition unit acquires the vehicle body size according to the size of a rectangular bounding box constructed by the AGV, the vehicle body speed comprises an empty vehicle speed and a loaded vehicle speed, and the safety distance is the distance between the AGV and the node, wherein the vehicle body speed is a uniform speed.

3. The multi-dimensional fused automotive production line planning feasibility verification system of claim 2, wherein, The vehicle body size is the size of a rectangular bounding box constructed by the AGV, the vehicle body speed comprises an empty vehicle speed and a loaded vehicle speed, and the safety distance is the distance between the AGV and the node, comprising: The ranging unit is configured to determine whether the AGV is occupied according to the safety distance, and the AGV is in the safety range and the node is in the occupied state when the safety distance is less than 2 meters.

4. The multi-dimensional fused automotive production line planning feasibility verification system of claim 3, wherein, The ranging unit is configured to determine whether the AGV is occupied according to the safety distance, and the AGV is in the safety range and the node is in the occupied state when the safety distance is less than 2 meters. The first acquisition module is configured to acquire conveying travel information of the AGV when the AGV is in the safety range, wherein the conveying travel information at least includes a position of the AGV, a speed of the AGV, a task of the AGV, and a process area in which the AGV is located. The second acquisition module is configured to acquire a situation of each node and whether a next node in a travel direction of the AGV is occupied when the AGV is in the safety range, wherein the situation of the node at least includes a distance between the node and the AGV and whether the node is occupied.

5. The multi-dimensional fused automotive production line planning feasibility verification system of claim 1, wherein, The collision detection data is acquired, the collision detection data is substituted into the virtual production line for collision detection, and a collision result is obtained, including: The warning unit is configured to issue a collision warning when a warning distance is less than 2 meters, and the AGV stops running when the warning distance is less than 1 meter, wherein the front and rear vehicle position information includes a warning distance, and the warning distance is a distance between any two adjacent AGVs.

6. The multi-dimensional fused automotive production line planning feasibility verification system of claim 1, wherein, The beat parameter is acquired according to the collision result and the passing result, the beat parameter is substituted into the virtual production line, and a production efficiency of the production line is obtained, including: The simulation unit is configured to substitute the beat parameter into the virtual production line to acquire a production time of a single vehicle, wherein the beat parameter at least includes a number of AGVs, a speed of the AGV, a number of stations, parameters of a process line, initial positions of a logistics AGV and a process AGV, a travel path of the process AGV, a travel path of the logistics AGV, a buffer zone configuration, and a size parameter of an assembly area, and the parameters of the process line include a number of the process lines, parameters of the process lines, lengths of the process lines, assembly times of the process lines, and inlet and outlet configurations of the process lines.

7. The multi-dimensional fused automotive production line planning feasibility verification system of claim 6, wherein, The beat parameter is acquired according to the collision result and the passing result, the beat parameter is substituted into the virtual production line, and a production efficiency of the production line is obtained, including: The simulation unit is configured to substitute the beat parameter into the virtual production line to acquire a production time of at least two process partitions and a partition production rate, wherein the process partition is a region divided according to a processing type, the production time is a production time of a single device, and the partition production rate is a ratio of a production quantity of a single device in a preset time to the preset time.

8. The multi-dimensional fused automotive production line planning feasibility verification system of claim 7, wherein, The beat parameter is substituted into the virtual production line to acquire a production time of at least two process partitions and a partition production rate, including: The optimization unit is configured to adjust the beat parameter according to at least two partition production rates, and calculate a comprehensive production rate according to the adjusted beat parameter.

9. A multi-dimensional fused automotive production line planning feasibility verification method, characterized in that, including: Obtaining design parameters, matching a two-dimensional vector model library, determining a two-dimensional production line, matching a three-dimensional vector model library according to the two-dimensional production line, and determining a virtual production line, wherein the two-dimensional production line comprises a two-dimensional plan, a two-dimensional link of the production line, and a conveying relationship of each link, and the virtual production line comprises at least one production line, at least one node, and at least one intersection; Obtaining collision detection data, substituting the collision detection data into the virtual production line for collision detection, and obtaining a collision result, wherein the collision detection data at least comprises a vehicle body size, a production line length, a vehicle body speed, a safety distance, and position information of front and rear vehicles; Obtaining passing verification parameters, substituting the passing verification parameters into the virtual production line for passing verification, and obtaining a passing result, wherein the passing verification parameters at least comprise the length of the production line, waiting time of an AGV small vehicle in an empty state, empty vehicle running time of the AGV small vehicle, loaded vehicle running time of the AGV small vehicle, and material loading and unloading switching time, and the passing result comprises AGV small vehicle flow, production line occupancy, and average passing time of the AGV small vehicle; the first calculation module is configured to obtain the AGV small vehicle flow according to the number of the AGV small vehicles passing a node and monitoring time, obtain the production line occupancy according to effective operation time of the production line and total production time of the production line, and obtain the average passing time of the AGV small vehicle according to total passing time of the AGV small vehicle on a single production line and the number of the AGV small vehicles passing the production line or the intersection, wherein the monitoring time is a time for counting the number of vehicles, the unit is second, the total passing time of the AGV small vehicle is a sum of times of all the AGV small vehicles passing the production line or the intersection, and the number of the AGV small vehicles passing is the number of the AGV small vehicles passing the production line or the intersection within the total passing time of the AGV small vehicle on the single production line; Obtaining a beat parameter according to the collision result and the passing result, substituting the beat parameter into the virtual production line, obtaining production line production efficiency, and optimizing the beat parameter when the production line production efficiency does not reach a preset value until the production line production efficiency reaches the preset value.

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