Intelligent warehouse management method

Abstract

The invention relates to the technical field of logistics storage, in particular to an intelligent warehouse management method, which comprises the steps of collecting actual warehouse-in information and actual warehouse-out information of a to-be-stored article, respectively determining an initial warehouse-in path and an initial warehouse-out path based on the actual warehouse-in information, the actual warehouse-out information and warehouse information, judging a path coincidence condition, and if the path coincidence condition is consistent with the initial warehouse-out path, determining an initial warehouse-out path. The initial warehouse-out path is adjusted; determining real-time state information of a plurality of transport trolleys so as to determine an initial trolley priority; acquiring a plurality of pieces of historical state information of the transportation trolley in the historical transportation task process, and further determining historical state change information; determining an actual distribution strategy of the transport trolleys based on the historical state change information, the initial trolley priority and the actual transport task; and carrying out transportation according to the actual distribution strategy and the adjusted transportation path, and adjusting the actual distribution strategy based on the real-time state information of the transportation trolley in the transportation process, or calibrating and adjusting the transportation path. According to the invention, the efficiency of warehouse intelligent management is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics warehousing, and in particular to an intelligent warehouse management method. Background Art

[0002] Traditional warehouse management methods rely on manual operation and monitoring, and there are problems such as information lag, unreasonable transportation route planning, and low efficiency in the allocation of transport trolleys. With the development of Internet of Things, big data and artificial intelligence technologies, intelligent warehouse management methods have gradually become the trend of industry development. However, the existing intelligent warehouse management methods still need to be improved in terms of real-time performance, dynamic adjustment ability and transport trolley allocation strategy.

[0003] The patent document with the Chinese patent application publication number CN112215542A discloses an intelligent warehouse management system, which includes: an inbound and outbound identification module for reading the electronic tag of a tool through a card reader respectively arranged inside and outside the warehouse to obtain the inbound and outbound operation types and identification time of the tool; a requisition management module for receiving the requisition request of the tool, generating a requisition task list according to the requisitioned materials, and auditing and identifying the requisition task list; a tool management module for managing the inbound and outbound information of the tool, collecting environmental parameters according to the storage rules, monitoring the storage status of the tool in the warehouse, and managing the maintenance status of the tool according to the maintenance rules.

[0004] In the prior art, the paths of inbound and outbound tasks are not analyzed and coordinated, and it is possible that conflicts occur between inbound and outbound transports on the same path, affecting the overall operation efficiency of the warehouse. Summary of the Invention

[0005] For this reason, the present invention provides an intelligent warehouse management method, which can solve the problem of low warehouse operation efficiency.

[0006] To achieve the above object, the present invention provides an intelligent warehouse management method, which includes:

[0007] Real-time collect the actual inbound information and actual outbound information of the items to be stored, determine the initial inbound path based on the actual inbound information and warehouse information, determine the initial outbound information based on the actual outbound information and warehouse information, judge the coincidence of the initial inbound path and the initial outbound path, and adjust the initial inbound path and the initial outbound path according to the analysis result of the coincidence to obtain an adjusted transport path;

[0008] Determine the real-time status information of a number of transport trolleys, and determine the initial trolley priority according to the real-time status information;

[0009] Obtain a number of historical status information of the transport trolley during the historical transport task, and determine the historical status change information based on the number of historical status information;

[0010] Determine the actual allocation strategy of the transport trolley based on the historical status change information, the initial trolley priority, and the actual transport task;

[0011] Transport according to the actual allocation strategy and adjust the transport path, and record the real-time status information of the transport trolley during the transport in real time. Adjust the actual allocation strategy based on the real-time status information, or calibrate and adjust the transport path.

[0012] Further, the steps of planning the initial transport path based on the actual warehousing information, the actual outbound information, and the warehouse information include:

[0013] Determine the actual storage item information and the actual storage location information of a number of actual stored items based on the warehouse information;

[0014] Match the actual warehousing information of the item to be stored with the actual storage item information to determine the location to be stored according to the matching result;

[0015] Determine the initial warehousing path based on the location to be stored and the actual warehousing information;

[0016] Determine the initial outbound path based on the actual storage location information of the item to be outbound, the actual outbound information, and the warehouse layout information;

[0017] Analyze the coincidence situation between the initial warehousing path and the initial outbound path, and adjust the initial warehousing path and the initial outbound path according to the analysis result of the coincidence situation to obtain the adjusted warehousing path and the adjusted outbound path.

[0018] Further, the steps of adjusting the initial warehousing path and the initial outbound path according to the analysis result of the coincidence situation include:

[0019] Calculate the coincidence length of the coincidence path part between the initial warehousing path and the initial outbound path;

[0020] Compare the coincidence length with a preset length to obtain a length comparison result;

[0021] Determine the transport priority of the coincidence path part based on the length comparison result, or calculate the first proportion and the second proportion of the coincidence length in the initial warehousing path and the initial outbound path respectively, and adjust the initial warehousing path or the initial outbound path based on the comparison result of the first proportion and the second proportion.

[0022] Further, the steps of determining the transport priority of the coincidence path part based on the length comparison result include:

[0023] When the overlapping length is less than the preset length, calculate the remaining task time of the inbound transportation task and the outbound transportation task;

[0024] Determine the transportation priority of the overlapping path part according to the remaining task time of the inbound transportation task and the remaining task time of the outbound transportation task.

[0025] Further, the steps of adjusting the initial inbound path or adjusting the initial outbound path based on the comparison result of the first ratio and the second ratio include:

[0026] If the first ratio is greater than the second ratio, adjust the initial inbound path;

[0027] If the first ratio is less than or equal to the second ratio, adjust the initial outbound path.

[0028] Further, the steps of determining the initial trolley priority according to the real-time status information include:

[0029] Obtain the real-time position information of any transportation trolley in real time, calculate its real-time Euclidean distance from the task starting position, sort based on a number of real-time Euclidean distances to obtain an actual distance sequence;

[0030] Monitor the real-time power information of any transportation trolley in real time, sort based on a number of real-time remaining power ratios to obtain a real-time power sequence;

[0031] Obtain the real-time load information of any transportation trolley in real time, calculate the ratio of the real-time load to its corresponding maximum load, sort based on a number of ratios to obtain a real-time load sequence;

[0032] Determine the initial trolley priority based on the actual distance sequence, the real-time power sequence, and the real-time load sequence.

[0033] Further, the steps of determining the historical state change information based on a number of historical status information include:

[0034] Obtain the historical power information and historical load information of any transportation trolley during the execution of historical transportation tasks;

[0035] Analyze the historical power information to determine the power consumption law of the trolley in the historical transportation task and obtain a historical power consumption model;

[0036] Analyze the historical load information to determine the load change situation of the trolley during the historical transportation process and obtain a historical load change model;

[0037] Determine the historical state change information based on the historical power consumption model and the historical load change model.

[0038] Further, the steps of determining the actual allocation strategy of the transport vehicle based on the historical status change information, the initial vehicle priority, and the actual transportation tasks include:

[0039] Predict the predicted power information of the transport vehicle when performing the actual transportation task according to the historical power consumption model;

[0040] Evaluate the expected load information of the vehicle in the actual transportation task based on the historical load change model;

[0041] Determine the actual allocation priority of the transport vehicle based on the predicted power information and the expected load information.

[0042] Further, the steps of adjusting the actual allocation strategy based on the real-time status information, or calibrating and adjusting the transportation path include:

[0043] Real-time collect the real-time power information, real-time load information, and real-time position information of any transport vehicle;

[0044] Compare the real-time power information with the predicted power information to obtain a power comparison result, and determine the power anomaly situation according to the power comparison result;

[0045] Compare the real-time load information with the expected load information to obtain a load comparison result, and determine the load anomaly situation according to the load comparison result;

[0046] Compare the real-time position information with the initial transportation path to obtain a position comparison result, and determine the position anomaly situation according to the position comparison result;

[0047] Based on at least one of the power anomaly situation, the load anomaly situation, and the position anomaly situation, re-evaluate the real-time status information of the remaining transport vehicles, and adjust the actual allocation strategy of the transport vehicle, or calibrate the adjusted transportation path according to the re-evaluation result and the initial vehicle priority.

[0048] Further, the steps according to the re-evaluation result and the initial vehicle priority include:

[0049] For the transport vehicle with power anomaly, load anomaly or position anomaly, reduce its actual allocation priority;

[0050] For the transport vehicle without power anomaly, load anomaly or position anomaly, adjust its actual allocation priority according to the matching degree between its actual status information and the initial vehicle priority;

[0051] If it is found after re-evaluation that all transport vehicles cannot meet the current task requirements, an alarm is issued.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows. By collecting actual inbound and outbound information in real time and planning paths in combination with warehouse information, it is possible to fully consider the actual situation such as the storage layout of goods in the current warehouse and the inbound and outbound positions, avoid the blindness of transportation path planning, enable the transport trolley to travel along a more efficient path at the initial stage, reduce the transportation time and empty driving mileage, and thus improve the overall transportation efficiency. By comprehensively evaluating the task execution ability and adaptability of each trolley by real-time mastering the position, power, and load status information of the transport trolley, it helps to reasonably allocate transportation tasks to the most suitable trolley, improve the efficiency and quality of task execution, and ensure the smooth operation of warehouse logistics. By analyzing historical status information to predict the performance of the transport trolley in future similar tasks, more accurately evaluate the adaptability of the trolley to various tasks, further optimize the allocation strategy of the transport trolley, and improve the overall transportation efficiency and reliability. By comprehensively considering historical status change information, initial trolley priority, and the characteristics of actual transportation tasks, more comprehensive and reasonable decisions can be made, improving the flexibility and adaptability of warehouse management. By real-time recording the status information of the transport trolley, abnormal situations occurring during the transportation process can be detected in a timely manner, and the actual allocation strategy or initial transportation path can be quickly adjusted according to the real-time status information to ensure the continuous smooth progress of transportation tasks, realizing real-time monitoring and dynamic optimization of the transportation process, and improving the stability and reliability of the warehouse management system.

[0053] In particular, by determining the relevant information and location of the actual stored items through warehouse information, the storage location of the items to be stored can be reasonably planned, the warehouse space can be fully utilized, and the storage density can be increased. The storage location to be stored is determined by matching the actual inbound information of the items to be stored with the actual stored item information, and then the initial inbound path is determined in combination with the actual inbound information. At the same time, the initial outbound path is determined according to the relevant information of the items to be shipped, making the transportation path planning more in line with the actual business needs, reducing unnecessary transportation distance and time. Analyzing and adjusting the overlapping situation of the initial inbound path and the initial outbound path can effectively avoid conflicts between inbound and outbound tasks on the path during the transportation process and improve the smoothness of warehouse logistics. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a flowchart showing the intelligent warehouse management method provided by an embodiment of the present invention;

[0055] Figure 2 It is a flowchart showing the process of planning the initial transportation path in the intelligent warehouse management method provided by an embodiment of the present invention;

[0056] Figure 3 It is a flowchart showing the process of determining the initial trolley priority in the intelligent warehouse management method provided by an embodiment of the present invention;

[0057] Figure 4Schematic flow diagram for determining the actual transport trolley allocation strategy in the intelligent warehouse management method provided by the embodiments of the present invention. Detailed implementation manners

[0058] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0059] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0060] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0061] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0062] Please refer to Figure 1 As shown, the embodiments of the present invention provide an intelligent warehouse management method, which includes:

[0063] Step S100: Real-time collect the actual inbound information and actual outbound information of the items to be stored, determine the initial inbound path based on the actual inbound information and the warehouse information, determine the initial outbound information based on the actual outbound information and the warehouse information, and judge the coincidence situation between the initial inbound path and the initial outbound path, so as to adjust the initial inbound path and the initial outbound path according to the analysis result of the coincidence situation to obtain an adjusted transport path;

[0064] Step S200: Determine the real-time status information of several transport trolleys, and determine the initial trolley priority according to the real-time status information;

[0065] Step S300: Obtain several historical status information of the transport trolleys during the historical transport tasks, and determine the historical status change information based on the several historical status information;

[0066] Step S400: Determine the actual allocation strategy of the transport trolley based on the historical status change information, the initial trolley priority, and the actual transportation tasks.

[0067] Step S500: Transport according to the actual allocation strategy and adjusted transport path, and record the real-time status information of the transport trolley during the transportation process in real time. Based on the real-time status information, adjust the actual allocation strategy or calibrate and adjust the transport path.

[0068] Specifically, in the embodiments of the present invention, by collecting the actual inbound and outbound information in real time and combining the warehouse information to plan the path, it is possible to fully consider the actual situations such as the storage layout of goods in the current warehouse and the inbound and outbound positions, avoid the blindness of transport path planning, enable the transport trolley to travel along a more efficient path at the initial stage, reduce the transport time and empty driving mileage, thereby improving the overall transport efficiency. By comprehensively evaluating the task execution ability and adaptability of each trolley in real time by mastering the position, power, and load status information of the transport trolley, it helps to reasonably allocate the transport tasks to the most suitable trolley, improve the efficiency and quality of task execution, and ensure the smooth operation of the warehouse logistics. By analyzing the historical status information to predict the performance of the transport trolley in future similar tasks, more accurately evaluate the adaptability of the trolley to various tasks, further optimize the allocation strategy of the transport trolley, and improve the overall transport efficiency and reliability. By comprehensively considering the historical status change information, the initial trolley priority, and the characteristics of the actual transport tasks, more comprehensive and reasonable decisions can be made, improving the flexibility and adaptability of warehouse management. By recording the status information of the transport trolley in real time, abnormal situations occurring during the transportation process can be detected in a timely manner, and the actual allocation strategy or the initial transport path can be quickly adjusted according to the real-time status information to ensure the continuous and smooth progress of the transport tasks, realizing the real-time monitoring and dynamic optimization of the transport process, and improving the stability and reliability of the warehouse management system.

[0069] See Figure 2 As shown, the steps of planning the initial transport path based on the actual inbound information, the actual outbound information, and the warehouse information include:

[0070] Step S110: Determine the actual storage item information and actual storage location information of several actual stored items based on the warehouse information.

[0071] Step S120: Match the actual inbound information of the item to be stored with the actual storage item information to determine the storage location to be stored according to the matching result.

[0072] Step S130: Determine the initial inbound path based on the storage location to be stored and the actual inbound information.

[0073] Step S140: Determine an initial outbound path based on the actual storage location information, actual outbound information, and the warehouse layout information of the items to be outbound.

[0074] Step S150: Analyze the overlap between the initial inbound path and the initial outbound path, and adjust the initial inbound path and the initial outbound path according to the analysis result of the overlap situation to obtain an adjusted inbound path and an adjusted outbound path.

[0075] Specifically, in the embodiments of the present invention, the relevant information and location of the actually stored items are determined through the warehouse information, the storage locations of the items to be stored can be reasonably planned, the warehouse space can be fully utilized, and the storage density can be improved. The storage location to be stored is determined by matching the actual inbound information of the items to be stored with the information of the actually stored items. Then, the initial inbound path is determined in combination with the actual inbound information. At the same time, the initial outbound path is determined according to the relevant information of the items to be outbound, so that the transportation path planning is more in line with the actual business requirements, reducing unnecessary transportation distance and time. Analyzing and adjusting the overlap between the initial inbound path and the initial outbound path can effectively avoid conflicts between the inbound and outbound tasks on the path during transportation and improve the fluency of the warehouse logistics.

[0076] It can be understood that the information of the actually stored items in the embodiments of the present invention includes the storage name, storage specification, storage model, storage shelf life, storage weight, and storage volume of the stored items;

[0077] The actual inbound information includes the actual name, actual specification, actual model, expected storage duration, actual weight, actual volume, and actual inbound location of the items to be stored;

[0078] The actual outbound information includes the storage name, storage specification, storage model, storage weight, storage volume, and actual outbound location of the items to be outbound.

[0079] It can be understood that the step of determining the storage location to be stored according to the matching result in the embodiments of the present invention includes:

[0080] Sequentially compare and screen the actual name, actual specification, actual model, actual weight, and actual volume of the items to be stored with the storage name, storage specification, storage model, storage weight, and storage volume of the actually stored items one by one, and determine the storage area to be stored according to the comparison result;

[0081] Judge the remaining space in the storage area to be stored. If the remaining space meets the storage requirements, use it as the storage location to be stored;

[0082] If there is no completely matching storage area, classify according to the characteristics of the items according to the pre-set storage rules of the warehouse, and combine and analyze the real-time storage status of each area to determine the storage location to be stored.

[0083] It can be understood that the pre-set storage rules in the warehouse in the embodiments of the present invention may include centralized storage by category, zoned storage according to the frequency of incoming and outgoing, etc.;

[0084] The real-time storage status of each area may include the remaining space size, the incoming and outgoing activity of the stored items, etc.

[0085] It can be understood that the step of determining the initial incoming path based on the to-be-stored location and the actual incoming information in the embodiments of the present invention includes:

[0086] Clarify the specific coordinates of the actual incoming location and the to-be-stored location in the warehouse layout;

[0087] According to the warehouse layout information, determine all possible paths between the two;

[0088] Based on the analysis results of the turning radius of the transport trolley, the passing height limit, and the size of the goods, exclude the impassable paths among several possible paths to obtain several feasible paths;

[0089] Adopt a path planning algorithm, with the shortest passing time as the optimization goal, and select the optimal path from several feasible paths as the initial incoming path.

[0090] Specifically, the step of adjusting the initial incoming path and the initial outgoing path according to the analysis results of the overlapping situation includes:

[0091] Calculate the overlapping length of the overlapping path part of the initial incoming path and the initial outgoing path;

[0092] Compare the overlapping length with a preset length to obtain a length comparison result;

[0093] Based on the length comparison result, determine the transport priority of the overlapping path part, or calculate the first proportion and the second proportion of the overlapping length in the initial incoming path and the initial outgoing path respectively, and adjust the initial incoming path or the initial outgoing path based on the comparison result of the first proportion and the second proportion.

[0094] It can be understood that the preset length in the embodiments of the present invention can be set according to the actual layout of the warehouse. For a warehouse with a compact layout, the preset length is set to 5 meters, while for a warehouse with a larger space, the preset length can be set to 10 meters.

[0095] It can be understood that the preset priority of the transport tasks in the embodiments of the present invention is that the priorities of the incoming task and the outgoing task are the same and are carried out simultaneously.

[0096] Specifically, the step of determining the transport priority of the overlapping path part based on the length comparison result includes:

[0097] When the overlapping length is less than the preset length, calculate the remaining task time of the inbound transportation task and the outbound transportation task;

[0098] Determine the transportation priority of the overlapping path part according to the remaining task time of the inbound transportation task and the remaining task time of the outbound transportation task.

[0099] It can be understood that in the embodiment of the present invention, when the remaining task time of the inbound transportation task is less than the remaining task time of the outbound transportation task, it is determined that the priority of the inbound transportation task for the overlapping path part is higher than the priority of the outbound transportation task, that is, to ensure that the inbound transportation task passes through the overlapping path part first, and then the outbound transportation task passes through the overlapping path part;

[0100] When the remaining task time of the inbound transportation task is greater than the remaining task time of the outbound transportation task, it is determined that the priority of the outbound transportation task for the overlapping path part is higher than the priority of the inbound transportation task, that is, to ensure that the outbound transportation task passes through the overlapping path part first, and then the inbound transportation task passes through the overlapping path part.

[0101] Specifically, the steps of adjusting the initial inbound path or the initial outbound path based on the comparison result of the first ratio and the second ratio include:

[0102] If the first ratio is greater than the second ratio, adjust the initial inbound path;

[0103] If the first ratio is less than or equal to the second ratio, adjust the initial outbound path.

[0104] It can be understood that in the embodiment of the present invention, when adjusting the initial inbound path, a number of alternative paths adjacent to the initial inbound path and not overlapping with the initial outbound path are determined based on the warehouse layout information;

[0105] Analyze the turning radius of the transport cart, the passing height limit, and the size of the goods, and determine the adjustment of the initial inbound path based on the analysis results.

[0106] It can be understood that the embodiment of the present invention determines the adjustment of the initial inbound path based on the analysis results. If there is an alternative path that meets the conditions in the analysis results, the increase in the passing time of this alternative path compared to the initial inbound path is evaluated based on the path planning algorithm with the shortest passing time as the optimization goal. If the increase is less than or equal to the preset increase, the initial inbound path is adjusted to this alternative path;

[0107] If there is no alternative path that completely meets the conditions, make a local adjustment to the initial inbound path.

[0108] It can be understood that the preset increase in the embodiment of the present invention is 10% of the passing time of the initial inbound path.

[0109] It can be understood that an example of locally adjusting the initial warehousing path in the embodiments of the present invention may be to guide the warehousing transport trolley to turn to other feasible channels at the starting end or a certain intermediate node of the overlapping path to avoid the overlapping part. After the adjustment, the driving situation of the transport trolley on the new path is monitored in real time. If a new congestion or unsmooth passage occurs, the path is adjusted again in time.

[0110] See Figure 3 As shown, the steps of determining the initial trolley priority according to the real-time status information include:

[0111] Step S210: Obtain the real-time position information of any transport trolley in real time, calculate its real-time Euclidean distance from the starting position of the task, sort based on a number of real-time Euclidean distances, and obtain an actual distance sequence;

[0112] Step S220: Monitor the real-time power information of any transport trolley in real time, sort based on a number of real-time remaining power ratios, and obtain a real-time power sequence;

[0113] Step S230: Obtain the real-time load information of any transport trolley in real time, calculate the ratio of the real-time load to its corresponding maximum load, sort based on a number of ratios, and obtain a real-time load sequence;

[0114] Step S240: Determine the initial trolley priority based on the actual distance sequence, the real-time power sequence, and the real-time load sequence.

[0115] Specifically, the embodiments of the present invention comprehensively determine the initial trolley priority based on real-time position, power, and load information, comprehensively consider multiple key factors affecting the task execution ability of the trolley, make the evaluation of the trolley priority more accurate and objective. The initial trolley priority determined based on the actual distance sequence, the real-time power sequence, and the real-time load sequence provides a scientific basis for task allocation, helps to allocate tasks to the most suitable trolley, and improves the task execution efficiency and success rate.

[0116] It can be understood that the embodiments of the present invention determine the initial trolley priority based on the actual distance sequence, the real-time power sequence, and the real-time load sequence, and can add the sorts of the actual distance sequence, the real-time power sequence, and the real-time load sequence to determine the final sort, so as to determine the initial trolley priority according to the final sort result.

[0117] Specifically, the steps of determining the historical state change information based on a number of historical state information include:

[0118] Obtain the historical power information and historical load information of any transport trolley during the execution of historical transport tasks;

[0119] Analyze historical power consumption information to determine the power consumption pattern of the trolley in historical transportation tasks, and obtain a historical power consumption model;

[0120] Analyze historical load information to determine the load change of the trolley during historical transportation, and obtain a historical load change model;

[0121] Determine historical state change information based on the historical power consumption model and the historical load change model.

[0122] It can be understood that the historical duration for which the embodiments of the present invention obtain the historical power consumption information and the historical load information of any transportation trolley during the execution of historical transportation tasks is the task execution duration.

[0123] It can be understood that the embodiments of the present invention can obtain the historical power consumption model by grouping the data according to the type of transportation task (such as inbound, outbound, transportation of different types of goods), transportation distance, and transportation time. For each group, the regression analysis method is used, with the transportation distance or transportation time as the independent variable and the power consumption as the dependent variable, to establish a functional relationship between power consumption and transportation distance or time. For example, for the transportation task of a certain type of goods, it is found through analysis that the power consumption E and the transportation distance d satisfy a linear relationship E = k×d + b, where k and b are coefficients determined through regression analysis. In this way, corresponding historical power consumption models are obtained for different types of transportation tasks.

[0124] It can be understood that the embodiments of the present invention can determine the historical state change information by classifying according to dimensions such as the type of goods and the transportation stage (such as loading, in-transit, unloading). For each classification, the change in load is statistically analyzed, such as the increase in load during the loading stage, the stability of load during in-transit, the decrease in load during the unloading stage, etc. The time series analysis method is used to analyze the change trend of load over time. For example, it is found that for some goods, due to jolting during in-transit, the load will decrease slightly to a certain extent. By establishing a time series model, the change in load in different stages is predicted, thereby obtaining a historical load change model.

[0125] See Figure 4 As shown, the steps for determining the actual allocation strategy of the transportation trolley based on the historical state change information, the initial trolley priority, and the actual transportation task include:

[0126] Step S410, predict the predicted power consumption information of the transportation trolley when executing the actual transportation task according to the historical power consumption model;

[0127] Step S420, evaluate the expected load information of the trolley in the actual transportation task based on the historical load change model;

[0128] Step S430: Determine the actual allocation priority of the transport trolley based on the predicted power consumption information and the expected load information.

[0129] Specifically, in the embodiments of the present invention, by collecting the power consumption, load, and position information of the transport trolley in real time and comparing it with the predicted or expected information, abnormal situations in power consumption, load, and position can be detected in a timely manner, enabling a quick response to abnormal situations during the transportation process, ensuring the smooth progress of the transportation task, re-evaluating the real-time status information of the remaining transport trolleys based on the abnormal situations, and adjusting the actual allocation strategy or the initial transportation path accordingly, thus realizing the dynamic optimization of transportation management and enabling the warehouse management system to better adapt to various emergencies and changes.

[0130] It can be understood that the actual allocation priority of the transport trolley determined by the embodiments of the present invention based on the predicted power consumption information and the expected load information can be achieved by setting the power demand weight and the load change weight w W , for example, w E = 0.6, w W = 0.4. For each transport trolley, calculate the power satisfaction degree S E , S E = Ec / Ep according to its current power consumption Ec and the predicted power consumption information Ep, and calculate the load adaptability S W , S W = (Wmax - W'max) / (Wmax - Wmin) (if W'max ≤ Wmax, otherwise S W = 0). Then, calculate the actual allocation priority score P of each transport trolley through the formula P = w E× S E + w W× S W . The higher the score, the higher the actual allocation priority. Finally, in combination with the initial trolley priority, re-order all the transport trolleys according to the actual allocation priority score to determine the final actual allocation priority.

[0131] It can be understood that the expected load information in the embodiments of the present invention is determined based on the historical load change model.

[0132] Specifically, the steps of adjusting the actual allocation strategy or calibrating and adjusting the transportation path based on the real-time status information include:

[0133] Collect the real-time power consumption information, real-time load information, and real-time position information of any transport trolley in real time;

[0134] Compare the real-time power consumption information with the predicted power consumption information to obtain a power consumption comparison result, so as to determine the power consumption abnormal situation according to the power consumption comparison result;

[0135] Compare the real-time load information with the expected load information to obtain a load comparison result, and determine a load anomaly situation according to the load comparison result;

[0136] Compare the real-time position information with the initial transportation path to obtain a position comparison result, and determine a position anomaly situation according to the position comparison result;

[0137] Based on at least one of the power anomaly situation, the load anomaly situation, and the position anomaly situation, re-evaluate the real-time status information of the remaining transport trolleys, and adjust the actual allocation strategy of the transport trolleys or calibrate the adjusted transportation path according to the re-evaluation result and the initial trolley priority.

[0138] It can be understood that the conditions for triggering the reallocation strategy in the embodiments of the present invention may include power anomalies, load anomalies, or position anomalies, etc. For example, when the real-time power information is lower than the predicted power information, it is considered that there is a power anomaly and the subsequent tasks may not be completed. At this time, it is necessary to trigger the reallocation strategy; when the real-time load information exceeds the expected load information range, it is considered that there is a load anomaly, which may affect the transportation safety or efficiency, and the reallocation strategy also needs to be triggered; when the real-time position information deviates too much from the initial transportation path, or the transport trolley stops moving forward, it is considered that there is a position anomaly, which may be caused by reasons such as path congestion or equipment failure. At this time, the reallocation strategy also needs to be triggered.

[0139] Specifically, the steps of according to the re-evaluation result and the initial trolley priority include:

[0140] For the transport trolleys with power anomalies, load anomalies, or position anomalies, reduce their actual allocation priorities;

[0141] For the transport trolleys without power anomalies, load anomalies, or position anomalies, adjust their actual allocation priorities according to the matching degree between their actual status information and the initial trolley priority;

[0142] If it is found after re-evaluation that all transport trolleys cannot meet the current task requirements, an alarm is issued.

[0143] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0144] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention; for those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent warehouse management method, characterized in that: include: Collecting the actual inbound information and actual outbound information of the items to be stored in real time, determining the initial inbound path based on the actual inbound information and the warehouse information, determining the initial outbound information based on the actual outbound information and the warehouse information, judging the overlap between the initial inbound path and the initial outbound path, and adjusting the initial inbound path and the initial outbound path according to the overlap analysis result to obtain an adjusted transportation path; Determine the real-time status information of several transport vehicles, and determine the initial vehicle priority based on the real-time status information; Acquire some historical status information of the transport vehicle during the historical transport task, and determine the historical status change information based on some historical status information; Determine the actual allocation strategy of the transport vehicle based on historical status change information, initial vehicle priority and actual transport tasks; The transportation is carried out according to the actual allocation strategy and the adjusted transportation path, and the real-time status information of the transportation vehicle during the transportation process is recorded in real time. The actual allocation strategy is adjusted based on the real-time status information, or the transportation path is calibrated and adjusted.

2. The intelligent warehouse management method according to claim 1 is characterized in that: The steps for planning the initial transportation route based on the actual inbound information, actual outbound information, and warehouse information include: Determine actual storage item information and actual storage location information of a number of actual storage items based on the warehouse information; Matching the actual storage information of the items to be stored with the actual storage information of the items to be stored, so as to determine the storage location according to the matching result; Determine an initial storage path based on the to-be-stored location and the actual storage information; Determine an initial outbound path based on actual storage location information of the items to be outbound, actual outbound information, and the warehouse layout information; The overlap between the initial inbound path and the initial outbound path is analyzed, and the initial inbound path and the initial outbound path are adjusted according to the overlap analysis result to obtain an adjusted inbound path and an adjusted outbound path.

3. The intelligent warehouse management method according to claim 2 is characterized in that: The step of adjusting the initial inbound path and the initial outbound path according to the overlap analysis result includes: Calculating the overlapping length of the overlapping path parts of the initial inbound path and the initial outbound path; Comparing the overlap length with a preset length to obtain a length comparison result; Determine the transportation priority of the overlapping path portion based on the length comparison result, or calculate the first proportion and the second proportion of the overlapping length in the initial inbound path and the initial outbound path respectively, and adjust the initial inbound path based on the comparison result of the first proportion and the second proportion, or adjust the initial outbound path.

4. The intelligent warehouse management method according to claim 3 is characterized in that: The steps of determining the transportation priority of the overlapping route portions based on the length comparison results include: When the overlap length is less than the preset length, the remaining time of the inbound transportation task and the outbound transportation task is calculated; The transportation priority of the overlapping route parts is determined according to the remaining task time of the inbound transportation task and the remaining task time of the outbound transportation task.

5. The intelligent warehouse management method according to claim 4 is characterized in that: The steps of adjusting the initial inbound path based on the comparison result of the first proportion and the second proportion, or adjusting the initial outbound path include: If the first proportion is greater than the second proportion, adjusting the initial warehousing path; If the first proportion is less than or equal to the second proportion, the initial outbound path is adjusted.

6. The intelligent warehouse management method according to claim 5 is characterized in that: The steps for determining the initial vehicle priority based on real-time status information include: Obtain the real-time location information of any transport vehicle in real time, calculate its real-time Euclidean distance from the starting position of the task, sort based on several real-time Euclidean distances, and obtain the actual distance sequence; Monitor the real-time power information of any transport vehicle in real time, sort them based on several real-time remaining power ratios, and obtain the real-time power sequence; Obtain the real-time load information of any transport vehicle in real time, calculate the ratio of the real-time load to its corresponding maximum load, sort based on several ratios, and obtain the real-time load sequence; An initial vehicle priority is determined based on the actual distance sequence, the real-time power sequence, and the real-time load sequence.

7. The intelligent warehouse management method according to claim 6 is characterized in that: The step of determining historical state change information based on a number of historical state information comprises: Obtain the historical power information and historical load information of any transport vehicle during the execution of historical transport tasks; Analyze historical power information to determine the power consumption pattern of the vehicle in historical transportation tasks and obtain a historical power consumption model; Analyze historical load information to determine the load changes of the trolley during historical transportation and obtain a historical load change model; The historical state change information is determined based on the historical power consumption model and the historical load change model.

8. The intelligent warehouse management method according to claim 7 is characterized in that: The steps of determining the actual allocation strategy of the transport vehicle based on the historical state change information, the initial vehicle priority and the actual transport task include: Predict the power consumption information of the transport vehicle when performing the actual transport task based on the historical power consumption model; Evaluate the expected load information of the vehicle in the actual transportation task based on the historical load change model; The actual allocation priority of the transport vehicle is determined based on the predicted power information and the expected load information.

9. The intelligent warehouse management method according to claim 8, characterized in that: The steps of adjusting the actual allocation strategy based on the real-time status information, or calibrating and adjusting the transportation path, include: Real-time collection of the real-time power information, real-time load information and real-time location information of any transport vehicle; Comparing the real-time power information with the predicted power information to obtain a power comparison result, and determining a power abnormality according to the power comparison result; Comparing the real-time load information with the expected load information to obtain a load comparison result, and determining a load abnormality according to the load comparison result; Comparing the real-time location information with the initial transport path to obtain a location comparison result, and determining a location abnormality according to the location comparison result; Based on at least one of the abnormal power conditions, abnormal load conditions and abnormal position conditions, the real-time status information of the remaining transport carts is re-evaluated, and according to the re-evaluation results and the initial cart priority, the actual allocation strategy of the transport cart is adjusted, or the adjusted transport path is calibrated.

10. The intelligent warehouse management method according to claim 9, characterized in that: The steps according to the re-evaluation result and the initial vehicle priority include: For transport vehicles with abnormal power, load or position, reduce their actual allocation priority; For transport vehicles that have no abnormal power, load or position, adjust their actual allocation priority according to the degree of matching between their actual status information and the initial vehicle priority; If after reassessment it is found that all transport vehicles cannot meet the current task requirements, an alarm will be issued.

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