CN117078149A - Warehouse freight path planning system based on artificial intelligence - Google Patents
Warehouse freight path planning system based on artificial intelligence Download PDFInfo
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Abstract
The application relates to the field of warehouse freight planning, which is used for solving the problem that the picking efficiency of a picking robot is reduced due to route blockage and slow running of the picking robot in the running process, in particular to a warehouse freight path planning system based on artificial intelligence; according to the application, the unified management and distribution of the paths of the transportation equipment are realized by comprehensively planning the running routes, the transportation starting points and the transportation ending points of all the transportation equipment in the warehouse, so that a large number of transportation equipment can be prevented from running on the same route in the warehouse, the running efficiency is ensured, when the running path of the transportation equipment is planned, the determination of the path planning range of the transportation equipment is realized by acquiring the transportation starting points and the transportation ending points of the transportation equipment, the transportation path is shortened, the transportation efficiency is improved, and the real-time feedback of the path passing efficiency analysis, the position feedback of the transportation equipment and the residual space capacity of the transportation ending points of the goods in the warehouse is realized by detecting the environment in the warehouse.
Description
Technical Field
The application relates to the field of warehouse freight planning, in particular to a warehouse freight path planning system based on artificial intelligence.
Background
The storage and picking are the most complex links in the storage system, play an important role in the whole supply chain system, along with the development of the e-commerce market, the storage throughput is larger and larger, the storage and picking demand can be increased rapidly in certain special time periods such as e-commerce festival, and the rapid sorting and shorter and faster picking paths are the impetus of warehouse management, so that a reasonable and efficient warehouse picking path planning method is more and more important;
at present, a plurality of large-scale warehouse goods are picked by using intelligent robots, so that the intelligent robots are more important in the aspect of warehouse management, if a plurality of intelligent robots in the warehouse lack an effective path management system, the problems of route blockage and slow running of the picking robots are easily caused in the running process of the picking robots, thereby greatly reducing the picking efficiency of the picking robots and being unfavorable for warehouse picking;
the application provides a solution to the technical problem.
Disclosure of Invention
According to the application, through comprehensively planning the running routes, the conveying starting points and the conveying ending points of all conveying equipment in the warehouse, unified management and distribution of the paths of the conveying equipment are realized, when a large number of conveying equipment selects the running routes in the warehouse, the problem that the picking efficiency of the picking robot is reduced due to route blockage and slow running in the running process of the picking robot is solved.
The aim of the application can be achieved by the following technical scheme: the system comprises a task target acquisition unit, a warehouse environment detection unit, a path planning control unit and an execution detection control unit, wherein the task target acquisition unit is used for acquiring all goods to be transported and goods to be transported in a warehouse end point and sending the goods to be transported start point and goods to be transported end point to the path planning control unit;
the warehouse environment detection unit is used for acquiring a route environment and an inventory environment in a warehouse and sending the route environment and the inventory environment in the warehouse to the route planning control unit, wherein the route environment in the warehouse is a preset route passing condition for the conveying equipment to walk in the warehouse, and the inventory environment is space information for storing goods in the warehouse;
the path planning control unit acquires a route environment and an inventory environment after acquiring a goods starting point to be transported and a goods ending point to be transported, acquires a path of the goods to be transported according to the route environment, the inventory environment, the goods starting point to be transported and the goods ending point to be transported, and records the route as a transport route;
the route planning control unit sends the delivery route to the execution detection control unit, the execution detection control unit analyzes the delivery route, distributes and adjusts the delivery quantity on different routes according to all received delivery route results, records the distributed and adjusted delivery route as a final route, and sends the final route to the warehouse control detection terminal;
the warehouse control detection terminal sends the final route to the conveying equipment and controls the conveying equipment to execute the final route, the conveying equipment detects the conveying equipment in real time when executing the final route, the detected position of the conveying equipment is fed back to the execution detection control unit in real time, and the execution detection control unit updates the fed-back position of the conveying equipment to the final route.
As a preferred embodiment of the present application, when the task target collecting unit collects a starting point of goods to be transported and an ending point of goods to be transported in a warehouse, the task target collecting unit sets the starting point position of the goods to be transported as a starting point requirement, sets the ending point position of the goods to be transported as an ending point requirement, accumulates the starting point requirements, records the accumulation result of the starting point requirements as a transportation requirement amount, accumulates the ending point requirements of the same position, and records the number of the ending point requirements of each position as an ending point requirement amount, the task target collecting unit compares the transportation requirement amount with a preset transportation requirement amount threshold range after acquiring the transportation requirement amount and the ending point requirement amount, confirms the range of the transportation requirement amount according to the comparison result, generates a transportation order loose signal if the transportation requirement amount is smaller than the minimum value of the preset transportation requirement amount threshold range, generates a transportation order normal signal if the transportation requirement amount is larger than the preset transportation requirement amount threshold range, and generates a transportation order overstock signal if the transportation requirement amount is larger than the preset transportation requirement amount threshold range;
the task target acquisition unit acquires the end point demand, compares the end point demand with a preset end point demand threshold, records the point as a high demand point if the end point demand is greater than the preset end point demand threshold, and records the point as a low demand point if the end point demand is less than the preset end point demand threshold;
the task target acquisition unit transmits the generated transportation order loose signal, transportation order normal signal, transportation order backlog signal, high-demand point and low-demand point signals to the high-quality path planning control unit.
When the warehouse environment detection unit acquires the route environment, a plurality of acquisition points are preset on the route, firstly, conveying equipment with the distance from a cargo end point to the acquisition points exceeding the preset distance is marked as acquisition equipment, all the passing speeds of the acquisition equipment passing through the acquisition points are acquired in a preset acquisition time period, the acquired passing speeds are calculated to be arithmetic average, the arithmetic average of the passing speeds is recorded as the passing speed at the acquisition points, the passing speed at the acquisition points is compared with a preset passing speed threshold, if the passing speed at the acquisition points is smaller than the preset passing speed threshold, the acquisition points are marked as abnormal acquisition points, and if the passing speed at the acquisition points is larger than or equal to the preset passing speed threshold, the acquisition points are marked as passing normal acquisition points;
the warehouse environment detection unit counts the number of normal acquisition points and abnormal acquisition points on the route, analyzes the duty ratio of the abnormal acquisition points in the counting result, generates a route abnormal signal if the duty ratio of the abnormal acquisition points is higher than a preset duty ratio, and generates a route normal signal if the duty ratio of the abnormal acquisition points is not higher than the preset duty ratio.
The warehouse environment detection unit acquires the inventory environment as follows:
s1: acquiring an inventory environment in an initial state in a manual preset mode, and respectively storing spatial information of a plurality of positions in the inventory environment;
s2: when the transport equipment transports goods to be transported to a destination, if the destination is a space for storing the goods in the warehouse, the space for storing the goods is updated with space information once;
s3: when the transportation equipment takes the space for storing the goods as a starting point of transporting the goods, the space for storing the goods is updated with space information once;
s4: the warehouse environment detection unit takes the space information updated last time as an inventory environment and sends the inventory environment to the route planning control unit.
As a preferred embodiment of the present application, after the route planning control unit obtains the destination of the goods to be transported, the route planning control unit analyzes the inventory environment of the destination location of the goods to be transported, if the remaining space in the inventory environment can meet the current storage requirement of the goods, performs route calculation according to the destination location of the goods to be transported and the destination location of the goods to be transported, if the remaining space in the inventory environment cannot meet the space required by the current storage of the goods, generates an environment abnormality alarm, and sends the environment abnormality alarm to the execution detection control unit and the task target acquisition unit at the same time.
As a preferred embodiment of the present application, the task target collecting unit resets the destination position of the goods to be transported after acquiring the environmental abnormality alarm, and reselects the destination position where the space information in the inventory environment can satisfy the goods storage.
As a preferred embodiment of the present application, the path planning control unit, when acquiring a path, determines a start position of a cargo to be transported and an end position of the cargo to be transported, and connects the start position of the cargo to be transported and the end position of the cargo to be transported, and draws a rectangle by using the connected line as a diagonal line of the rectangle, wherein a side of the rectangle is parallel or perpendicular to a route in the warehouse, and records the rectangle as a route range;
the path planning control unit selects all routes marked as route normal signals within the route range, and takes the shortest route in the routes as the delivery route.
As a preferred embodiment of the present application, the execution detection control unit analyzes the transport routes of all the transport apparatuses after acquiring the transport routes, and if the number of transport apparatuses on the same transport route exceeds a preset route saturation value, modifies the transport routes of the transport apparatuses located on the same transport route so that the number of transport apparatuses on the same transport route is smaller than the preset route saturation value.
The execution detection control unit sets the current route of the conveying equipment as a final route after controlling the quantity of the conveying equipment on the route to be smaller than a preset route saturation value.
As a preferred embodiment of the present application, after the warehouse control detection unit obtains the position of the conveying device, the position of the conveying device is sent to the execution detection control unit in real time, and the execution detection control unit updates the moving speed and the current position of the conveying device according to the fed back position of the conveying device, so as to calculate whether the route moves slowly according to the moving speed of the conveying device before reaching the goods end point, thereby updating the route environment.
As a preferred embodiment of the present application, after the execution detection control unit obtains the environmental abnormality alarm, the execution detection control unit sends the environmental abnormality alarm to the management device through the network, and the management device sends an alarm reminder through the network after receiving the environmental abnormality alarm.
As a preferred embodiment of the present application, the task target acquisition unit generates different transport device activation quantity signals after generating the transport order loose signal, the transport order normal signal and the transport order backlog signal, and sends the transport device activation quantity signals to the execution detection control unit through the path planning control unit, wherein the transport device activation quantity when the transport order loose signal is generated < the transport device activation quantity when the transport order normal signal is generated < the transport device activation quantity when the transport order backlog signal is generated.
Compared with the prior art, the application has the beneficial effects that:
1. when the freight path of the warehouse is managed, the application realizes unified management and distribution of the paths of the transportation equipment by comprehensively planning the running routes, the transportation starting points and the transportation ending points of all the transportation equipment responsible for transporting the cargos in the warehouse, ensures that a large number of transportation equipment can be prevented from running on the same route in the warehouse when the running routes of the transportation equipment are selected in the warehouse, and ensures the running efficiency of the transportation equipment in the warehouse.
2. In the application, when the travel path of the conveying equipment is planned, the determination of the path planning range of the conveying equipment is realized by acquiring the conveying starting point and the conveying end point of the conveying equipment, so that the conveying path is shortened and the conveying efficiency is improved on the premise that the conveying equipment meets the conveying requirement on the route.
3. According to the application, by detecting the environment in the warehouse, real-time path passing efficiency analysis, transportation equipment position feedback and real-time feedback of the residual space capacity of the cargo transportation end point in the warehouse are realized, the smoothness of the operation process of the transportation equipment is ensured, and the condition that the cargo picking transportation is influenced by secondary transportation and the like is avoided.
Drawings
The present application is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a system block diagram of the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiment one:
referring to fig. 1, an artificial intelligence-based warehouse freight path planning system includes a task target acquisition unit, a warehouse environment detection unit, a path planning control unit, and an execution detection control unit, where the task target acquisition unit is configured to acquire all the starting points of the goods to be transported and the ending points of the goods to be transported in the warehouse, when the task target acquisition unit acquires the starting points of the goods to be transported and the ending points of the goods to be transported in the warehouse, set the starting points of the goods to be transported as starting point requirements, set the ending points of the goods to be transported as ending point requirements, accumulate the starting point requirements, record the accumulation result of the starting point requirements as transport requirement, accumulate the ending point requirements of the same position, record the quantity of the ending point requirements of each position as ending point requirement, compare the transport requirement with a preset transport requirement threshold range, and determine that the required quantity is in the range according to the comparison result, if the transport requirement quantity is smaller than the minimum value of the preset transport requirement quantity threshold range, generate a transport loose order signal, if the transport requirement quantity is in the preset transport order quantity is within the preset transport requirement quantity range, and generate a normal transport requirement signal if the transport requirement quantity is in the preset transport requirement quantity range;
the task target acquisition unit acquires the end point demand, compares the end point demand with a preset end point demand threshold, records the point as a high demand point if the end point demand is greater than the preset end point demand threshold, and records the point as a low demand point if the end point demand is less than the preset end point demand threshold;
the task target acquisition unit transmits the generated transport order loose signal, transport order normal signal, transport order backlog signal, high demand point and low demand point signals to the high-quality path planning control unit, and transmits the goods start point to be transported and the goods end point to be transported to the path planning control unit;
the task target acquisition unit generates different transportation equipment starting quantity signals after generating a transportation order loose signal, a transportation order normal signal and a transportation order backlog signal, and sends the transportation equipment starting quantity signals to the execution detection control unit through the path planning control unit, wherein the transportation equipment starting quantity when the transportation order loose signal is generated is less than the transportation equipment starting quantity when the transportation order normal signal is generated is less than the transportation equipment starting quantity when the transportation order backlog signal is generated, so that the quantity of transportation equipment is reasonably started according to the order quantity, and the running cost is reduced.
Embodiment two:
referring to fig. 1, a warehouse environment detection unit is configured to obtain a route environment and an inventory environment in a warehouse, send the route environment and the inventory environment in the warehouse to a route planning control unit, where the warehouse route environment is a preset route passing condition for a conveying device to walk in the warehouse, the inventory environment is space information for storing goods in the warehouse, when the warehouse environment detection unit obtains the route environment, a plurality of collection points are preset on the route, firstly, a conveying device with a distance between a goods end and the collection point exceeding a preset distance is marked as a collection device, in a preset collection period, all passing speeds of the collection devices passing through the collection points are collected, an arithmetic average value is obtained, the arithmetic average value of the passing speeds is recorded as a passing speed at the collection point, the passing speed at the collection point is compared with a preset passing speed threshold, if the passing speed at the collection point is smaller than the preset passing speed threshold, the collection point is marked as an abnormal collection point, and if the passing speed at the collection point is greater than or equal to the preset passing speed threshold, the collection point is marked as a normal passing point;
the method comprises the steps that a warehouse environment detection unit counts the number of normal acquisition points and abnormal acquisition points on a route, analyzes the proportion of the abnormal acquisition points in a counting result, generates a route abnormal signal if the proportion of the abnormal acquisition points is higher than a preset proportion, generates a route normal signal if the proportion of the abnormal acquisition points is not higher than the preset proportion, and when the warehouse environment detection unit generates the route abnormal signal, the route is indicated to run slowly, route congestion or other equipment operation is likely to exist, so that transportation traffic is not facilitated, and when the route normal signal is generated, the route traffic is indicated to be normal, so that quantitative guidance is provided for route planning of transportation equipment according to the route abnormal signal and the route normal signal, and the transportation equipment is assisted to carry out route planning;
the warehouse environment detection unit acquires the warehouse environment as follows:
s1: acquiring an inventory environment in an initial state in a manual preset mode, and respectively storing spatial information of a plurality of positions in the inventory environment;
s2: when the transport equipment transports goods to be transported to a destination, if the destination is a space for storing the goods in the warehouse, the space for storing the goods is updated with space information once;
s3: when the transportation equipment takes the space for storing the goods as a starting point of transporting the goods, the space for storing the goods is updated with space information once;
s4: the warehouse environment detection unit takes the space information updated last time as an inventory environment and sends the inventory environment to the route planning control unit.
Embodiment III:
referring to fig. 1, a path planning control unit obtains a cargo start point to be transported and a cargo end point to be transported, analyzes an inventory environment of a cargo end point position to be transported, if a residual space in the inventory environment can meet the current cargo storage requirement, calculates a path according to the cargo end point position to be transported and the cargo start point position to be transported, if the residual space in the inventory environment cannot meet the space required by the current cargo storage requirement, generates an environment abnormality alarm, and simultaneously sends the environment abnormality alarm to an execution detection control unit and a task target acquisition unit, the task target acquisition unit resets the end point position of the cargo to be transported after obtaining the environment abnormality alarm, selects again an end point position where space information in the inventory environment can meet the cargo storage, sends the environment abnormality alarm to a management device through a network after the environment abnormality alarm is obtained by the execution detection control unit, and sends an alarm through the network after the environment abnormality alarm is received by the management device;
the path planning control unit acquires a route environment and an inventory environment again, acquires a path of goods to be transported according to the route environment, the inventory environment, a goods starting point to be transported and a goods ending point to be transported, and records the rectangle as a route range by determining the position of the goods starting point to be transported and the position of the goods ending point to be transported and connecting the position of the goods starting point to be transported and the position of the goods ending point to be transported when acquiring the path and using the connected line as a diagonal line of the rectangle, wherein the edges of the rectangle are parallel or perpendicular to the route in the warehouse;
the path planning control unit selects all routes marked as normal signals of the routes within the route range, and records the shortest route in the routes as a delivery route;
embodiment four:
referring to fig. 1, a route planning control unit sends a conveying route to an execution detection control unit, the execution detection control unit analyzes the conveying route of all conveying devices after acquiring the conveying route, if the number of conveying devices on the same conveying route exceeds a preset route saturation value, the conveying devices on the same conveying route are modified to make the number of conveying devices on the same conveying route smaller than the preset route saturation value, the execution detection control unit sets the current route of the conveying devices as a final route after controlling the number of conveying devices on the route to be smaller than the preset route saturation value, and completes distribution adjustment of conveying amounts on different routes, and sends the final route to a warehouse control detection terminal;
the warehouse control detection terminal sends the final route to the conveying equipment and controls the conveying equipment to execute the final route, when the conveying equipment executes the final route, the warehouse control detection terminal detects the conveying equipment in real time and sends the position of the conveying equipment to the execution detection control unit in real time, and the execution detection control unit updates the moving speed and the current position of the conveying equipment according to the fed-back position of the conveying equipment, so that whether the route moves slowly is calculated according to the moving speed of the conveying equipment before the conveying equipment reaches the goods end point, and the road environment is updated.
In the application, when the freight path of the warehouse is managed, the unified management and distribution of the paths of the transportation equipment are realized by comprehensively planning the running paths, the starting points and the ending points of all the transportation equipment responsible for transporting cargos in the warehouse, so that when a large number of transportation equipment select the running paths in the warehouse, a large number of transportation equipment can be prevented from running on the same path in the warehouse, the running efficiency of the transportation equipment in the warehouse is ensured, when the running path of the transportation equipment is planned, the determination of the path planning range of the transportation equipment is realized by acquiring the starting points and the ending points of the transportation equipment, the transportation path is shortened and the transportation efficiency is improved on the premise that the paths meet the transportation requirement, and the real-time path passing efficiency analysis, the position feedback of the transportation equipment and the real-time feedback of the residual space capacity of the freight transportation ending points in the warehouse are realized by detecting the environment in the warehouse, so that the smoothness of the running process of the transportation equipment is ensured, and the condition that the secondary transportation and the like are influenced in order picking transportation is avoided.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The warehouse freight path planning system based on artificial intelligence is characterized by comprising a task target acquisition unit, a warehouse environment detection unit, a path planning control unit and an execution detection control unit, wherein the task target acquisition unit is used for acquiring all goods starting points to be transported and all goods ending points to be transported in a warehouse and sending the goods starting points to be transported and the goods ending points to be transported to the path planning control unit;
the warehouse environment detection unit is used for acquiring a route environment and an inventory environment in a warehouse and sending the route environment and the inventory environment in the warehouse to the route planning control unit, wherein the route environment in the warehouse is a preset route passing condition for the conveying equipment to walk in the warehouse, and the inventory environment is space information for storing goods in the warehouse;
the path planning control unit acquires a route environment and an inventory environment after acquiring a goods starting point to be transported and a goods ending point to be transported, acquires a path of the goods to be transported according to the route environment, the inventory environment, the goods starting point to be transported and the goods ending point to be transported, and records the route as a transport route;
the route planning control unit sends the delivery route to the execution detection control unit, the execution detection control unit analyzes the delivery route, distributes and adjusts the delivery quantity on different routes according to all received delivery route results, records the distributed and adjusted delivery route as a final route, and sends the final route to the warehouse control detection terminal;
the warehouse control detection terminal sends the final route to the conveying equipment and controls the conveying equipment to execute the final route, the conveying equipment detects the conveying equipment in real time when executing the final route, the detected position of the conveying equipment is fed back to the execution detection control unit in real time, and the execution detection control unit updates the fed-back position of the conveying equipment to the final route.
2. The warehouse shipment path planning system based on artificial intelligence according to claim 1, wherein the task goal collecting unit sets a start point position of a shipment to be delivered as a start point demand and an end point position of the shipment to be delivered as an end point demand when collecting a shipment start point and an end point of the shipment to be delivered in the warehouse, the task goal collecting unit accumulates the start point demands, records an accumulation result of the start point demands as a shipment demand, accumulates the end point demands of the same position, and records the number of the end point demands of each position as an end point demand, the task goal collecting unit compares the shipment demand with a preset shipment demand threshold range after acquiring the shipment demand and the end point demand, confirms the range in which the shipment demand is located according to the comparison result, generates a shipment order signal with a relaxed order if the shipment demand is smaller than a minimum value of the preset shipment demand threshold range, generates a shipment order normal signal if the shipment demand is larger than the preset shipment demand threshold range, and generates a shipment order backlog signal if the shipment demand is larger than the preset shipment demand threshold range;
the task target acquisition unit acquires the end point demand, compares the end point demand with a preset end point demand threshold, records the point as a high demand point if the end point demand is greater than the preset end point demand threshold, and records the point as a low demand point if the end point demand is less than the preset end point demand threshold;
the task target acquisition unit transmits the generated transportation order loose signal, transportation order normal signal, transportation order backlog signal, high-demand point and low-demand point signals to the high-quality path planning control unit.
3. The warehouse freight path planning system based on artificial intelligence according to claim 2, wherein when the warehouse environment detection unit acquires the route environment, presetting a plurality of acquisition points on the route, firstly marking conveying equipment with the distance between the destination of the freight and the acquisition point exceeding the preset distance as acquisition equipment, acquiring the passing speeds of all the acquisition equipment passing through the acquisition points in a preset acquisition time period, taking an arithmetic average value of the acquired passing speeds, recording the arithmetic average value of the passing speeds as the passing speed at the acquisition point, comparing the passing speed at the acquisition point with a preset passing speed threshold, marking the acquisition point as an abnormal acquisition point if the passing speed at the acquisition point is smaller than the preset passing speed threshold, and marking the acquisition point as a passing normal acquisition point if the passing speed at the acquisition point is larger than or equal to the preset passing speed threshold;
the warehouse environment detection unit counts the number of normal acquisition points and abnormal acquisition points on the route, analyzes the duty ratio of the abnormal acquisition points in the counting result, generates a route abnormal signal if the duty ratio of the abnormal acquisition points is higher than a preset duty ratio, and generates a route normal signal if the duty ratio of the abnormal acquisition points is not higher than the preset duty ratio;
the warehouse environment detection unit acquires the inventory environment as follows:
s1: acquiring an inventory environment in an initial state in a manual preset mode, and respectively storing spatial information of a plurality of positions in the inventory environment;
s2: when the transport equipment transports goods to be transported to a destination, if the destination is a space for storing the goods in the warehouse, the space for storing the goods is updated with space information once;
s3: when the transportation equipment takes the space for storing the goods as a starting point of transporting the goods, the space for storing the goods is updated with space information once;
s4: the warehouse environment detection unit takes the space information updated last time as an inventory environment and sends the inventory environment to the route planning control unit.
4. The warehouse shipping path planning system based on artificial intelligence as set forth in claim 3, wherein the route planning control unit analyzes an inventory environment of a destination location of the shipment to be shipped after obtaining the destination of the shipment to be shipped, performs path calculation according to the destination location of the shipment to be shipped and the destination location of the shipment to be shipped if a remaining space in the inventory environment can meet a current shipment storage requirement, generates an environment abnormality alert if the remaining space in the inventory environment cannot meet a space required for the current shipment storage, and simultaneously transmits the environment abnormality alert to the execution detection control unit and the task target acquisition unit.
5. The warehouse shipping path planning system based on artificial intelligence of claim 4, wherein the task goal collection unit resets the destination location of the goods to be shipped after the environmental anomaly alert is obtained, and re-selects the destination location where the spatial information in the inventory environment can satisfy the goods storage.
6. The system according to claim 5, wherein the path planning control unit, when acquiring the path, determines the starting point position of the goods to be transported and the final point position of the goods to be transported, and connects the starting point position of the goods to be transported and the final point position of the goods to be transported, and draws the connected line as a diagonal line of a rectangle, wherein the side of the rectangle is parallel or perpendicular to the path in the warehouse, and records the rectangle as the path range;
the path planning control unit selects all routes marked as route normal signals within the route range, and takes the shortest route in the routes as the delivery route.
7. The warehouse shipping path planning system based on artificial intelligence of claim 6, wherein the execution detection control unit analyzes the shipping routes of all the shipping devices after acquiring the shipping routes, and if the number of the shipping devices on the same shipping route exceeds a preset route saturation value, modifies the shipping routes of the shipping devices on the same shipping route so that the number of the shipping devices on the same shipping route is less than the preset route saturation value;
the execution detection control unit sets the current route of the conveying equipment as a final route after controlling the quantity of the conveying equipment on the route to be smaller than a preset route saturation value.
8. The warehouse shipment path planning system based on artificial intelligence of claim 7, wherein the warehouse control detection unit sends the position of the delivery device to the execution detection control unit in real time after acquiring the position of the delivery device, and the execution detection control unit updates the moving speed and the current position of the delivery device according to the fed back position of the delivery device, so as to calculate whether the route moves slowly according to the moving speed of the delivery device before reaching the shipment destination, and update the route environment.
9. The warehouse shipping path planning system based on artificial intelligence of claim 8, wherein the execution detection control unit obtains the environmental anomaly alarm, and then sends the environmental anomaly alarm to the management device via the network, and the management device sends an alarm prompt via the network after receiving the environmental anomaly alarm.
10. The system of claim 9, wherein the task goal collection unit generates a different transport device enable quantity signal after generating the transport order loose signal, the transport order normal signal, and the transport order backlog signal, and sends the transport device enable quantity signal to the execution detection control unit via the path planning control unit, wherein the transport device enable quantity when generating the transport order loose signal < the transport device enable quantity when generating the transport order normal signal < the transport device enable quantity when generating the transport order backlog signal.
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