Automatic warehouse management system
Through the automated warehousing management system, the problems of unreasonable space utilization, large security risks, lack of flexibility in storage strategies and low management efficiency in traditional warehouse management are solved, and the precise utilization of warehouse space and the efficiency of security management are achieved.
Patent Information
- Application Number
- CN202510285196.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-11
- Publication Date
- 2025-04-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional warehouse management has problems such as unreasonable space utilization, high security risks, lack of flexibility in storage strategies, and inefficient management.
Design an automated warehousing management system, through the division of evaluation modules, level division modules, security association modules, security assessment modules and policy generation modules, collect warehouse space data, conduct area division and security assessment, analyze item characteristics and vacant safety correlation, and generate dynamic item adjustment strategies.
It realizes the precise utilization of warehouse space, improves the refinement and dynamic nature of security management, optimizes item storage strategies, improves warehousing management efficiency, reduces manual intervention, and ensures a high level of warehouse safety status.
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Figure CN119809519A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of warehouse management, and in particular to an automated warehouse management system. Background Art
[0002] With the rapid development of the logistics industry and the rise of e-commerce, warehouses are key links in the logistics system. Their management efficiency and safety directly affect the operational efficiency and customer satisfaction of the entire supply chain. However, traditional warehouse management methods face many challenges, such as: Traditional warehouse management often lacks accurate spatial data collection and analysis methods, resulting in irrational use of warehouse space, with some areas overcrowded and others idle. This imbalance in space utilization not only reduces storage efficiency, but also increases safety hazards. For example, overcrowded areas may cause collapse accidents due to items being stacked too high or too heavy, while idle areas may become a breeding ground for safety hazards.
[0003] Traditional warehouse management usually relies on manual inspections and empirical judgments in safety assessments, which is not only time-consuming and labor-intensive, but also often inaccurate. Due to the lack of a comprehensive safety assessment model, key factors such as fire prevention, temperature control, load-bearing and ventilation in warehouses are often not fully considered, making it difficult to detect and eliminate safety hazards in a timely manner.
[0004] Traditional warehouse management usually has a fixed and inflexible storage strategy for items. Items are often simply stored by category or size without considering the safety associations and storage requirements between items. This storage strategy may not only lead to conflicts or damage between items, but also reduce storage efficiency and safety.
[0005] Traditional warehouse management relies heavily on manual intervention, including the entry, exit, and inventory of items. This management method is not only time-consuming and labor-intensive, but also prone to errors, resulting in low management efficiency. At the same time, excessive manual intervention also increases safety risks, such as misoperation and negligence.
[0006] Therefore, it is necessary to provide an automated warehouse management system to solve the above technical problems. Summary of the invention
[0007] In order to solve the above technical problems, the present invention provides an automated warehouse management system for solving the problems of unreasonable space utilization and safety hazards in traditional warehouse management, single safety assessment method, lack of flexibility in item storage strategy and low management efficiency.
[0008] The present invention provides an automated warehouse management system, the warehouse management system comprising: The division and assessment module is used to collect warehouse space data and divide the warehouse space into several areas, and use the pre-built safety assessment model to conduct safety assessment on each area to obtain the safety assessment value of each area; A level division module, for comparing the safety evaluation value of each area with a plurality of preset level threshold sections, so as to divide each area into different safety level areas according to the comparison result, wherein each level threshold section corresponds to each safety level; A security association module, used to obtain the vacant space information of the security level area and the acquired information of the items to be stored, analyze the characteristics of the items to be stored from the acquired information of the items to be stored, and analyze the security association between the items near the vacant space and the items to be stored; The safety assessment module is used to monitor the environmental parameters of each safety level area in real time according to the preset cycle time, and conduct a secondary safety assessment on each area to update the safety level of each area; The strategy generation module is used to generate a dynamic item adjustment strategy based on the updated security level of each area and the security association between items near the empty space and the items to be stored.
[0009] Preferably, the method of collecting warehouse space data and dividing the warehouse space into several areas, and performing safety assessment on each area using a pre-built safety assessment model to obtain a safety assessment value for each area specifically includes the following steps: Collect warehouse space data through 3D scanning equipment, including the length, width, height, shelf layout and aisle width of the warehouse; Based on the warehouse space data, the warehouse is divided into several ranges, and each range is refined into different areas; A safety assessment model is constructed based on the key factors that affect warehouse safety. The key factors include fire protection parameters, temperature control parameters, load-bearing parameters, and ventilation parameters. The specific safety assessment model is: S=α×fire protection parameter+β×temperature control parameter+γ×load-bearing parameter+δ×ventilation parameter, where α, β, γ, and δ are all custom weight coefficients. Obtain basic information about each area of the warehouse, including fire protection information, temperature control information, load-bearing information, and ventilation information, and input the basic information of each area into the safety assessment model to output the safety assessment value of each area.
[0010] Preferably, the method of comparing the safety evaluation value of each area with a plurality of preset level threshold sections to divide each area into different safety level areas according to the comparison result, wherein each level threshold section corresponds to each safety level, specifically comprises the following steps: Based on the safety requirements of warehouse management, multiple level threshold segments are customized, including level I and its corresponding level threshold segment, level II and its corresponding level threshold segment, and level III and its corresponding level threshold segment; The obtained safety assessment value of each area is compared with each level threshold segment respectively, and the specific level threshold segment to which each area belongs is determined based on the comparison result. According to the result of the attribution, each area is divided into the safety level corresponding to the level threshold segment to obtain different safety level areas.
[0011] Preferably, the step of acquiring the vacancy information of the security level area and the acquired information of the items to be stored, analyzing the characteristics of the items to be stored from the acquired information of the items to be stored, and analyzing the security association between the items near the vacancy and the items to be stored specifically includes the following steps: In areas with different security levels, query the currently available space information, including location, size, and load-bearing capacity; Obtain information about the items to be stored from the incoming order, including item type, size, weight, and storage requirements, and analyze the storage characteristics of the items to be stored based on the storage requirements according to the information about the items to be stored; Based on the currently available space information, the safety association between the stored items and the items to be stored near the space is identified based on the safety specification.
[0012] Preferably, the environmental parameters of each security level area are monitored in real time according to a preset cycle time, and a secondary safety evaluation is performed on each area to update the security level of each area, which specifically includes the following steps: According to the preset cycle time, various sensors are used to monitor the environmental parameters of each safety level area in real time; Determine whether the environmental parameters of each security level area exceed the parameter threshold through the preset parameter threshold; If the environmental parameters of the security level area exceed the parameter threshold, the security level area is re-evaluated through the security evaluation model, and the security level of each security level area is updated according to the result of the secondary safety evaluation.
[0013] Preferably, the generating of a dynamic item adjustment strategy based on the updated security level of each area and the security association between items near the empty space and the items to be stored specifically includes the following steps: Based on the updated security level of each area, all vacancies are sorted according to the security level from high to low to obtain the vacancy sorting result; And sort the safety relevance between each item to be stored and the empty space from low to high to obtain the safety relevance sorting result; According to the vacancy sorting results and the security association sorting results, the vacancy for storing items is screened, so as to generate an item adjustment strategy according to the screening results.
[0014] Compared with the related art, the automated warehouse management system provided by the present invention has the following beneficial effects: The present invention firstly accurately collects warehouse space data, performs refined regional division, and constructs a safety assessment model, comprehensively considers key factors such as fire prevention, temperature control, load-bearing and ventilation, and conducts a comprehensive safety assessment of the warehouse, which not only makes the safety management of the warehouse more refined, but also maintains the dynamic and flexibility of warehouse safety management through regional division and dynamic safety level adjustment; at the same time, it optimizes the item storage strategy, generates a dynamic item adjustment strategy by analyzing the characteristics of the items to be stored and the safety relevance of the items near the vacant spaces, and improves storage efficiency; effectively improves the efficiency of warehouse management, reduces manual intervention, ensures that the safety status of the warehouse is always maintained at a high level, and provides a strong guarantee for the safe and efficient management of the warehouse. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 This is a system block diagram of an automated warehouse management system in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the process of an automated warehouse management system in Embodiment 2 of the present invention. DETAILED DESCRIPTION
[0016] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.
[0017] Embodiment 1 like Figure 1 As shown, an automated warehouse management system specifically includes: The division and assessment module is used to collect warehouse space data and divide the warehouse space into several areas, and use the pre-built safety assessment model to conduct safety assessment on each area to obtain the safety assessment value of each area; A level division module, for comparing the safety evaluation value of each area with a plurality of preset level threshold sections, so as to divide each area into different safety level areas according to the comparison result, wherein each level threshold section corresponds to each safety level; A security association module, used to obtain the vacant space information of the security level area and the acquired information of the items to be stored, analyze the characteristics of the items to be stored from the acquired information of the items to be stored, and analyze the security association between the items near the vacant space and the items to be stored; The safety assessment module is used to monitor the environmental parameters of each safety level area in real time according to the preset cycle time, and conduct a secondary safety assessment on each area to update the safety level of each area; The strategy generation module is used to generate a dynamic item adjustment strategy based on the updated security level of each area and the security association between items near the empty space and the items to be stored.
[0018] In the specific implementation process, the specific steps of dividing the evaluation modules include: Warehouse space data is collected through 3D scanning equipment, including the length, width, height, shelf layout and aisle width of the warehouse.
[0019] Specifically, the entire warehouse space is comprehensively scanned in advance by means of a three-dimensional scanning device, and the warehouse space data is obtained by accessing the three-dimensional scanning device.
[0020] In this embodiment, a three-dimensional scanning device is used to collect data of a warehouse with a length of 100 meters, a width of 50 meters, and a height of 20 meters. The shelves of the warehouse are arranged in a regular pattern, with each shelf having a height of 4 meters, a width of 1 meter, and an aisle width of 2 meters.
[0021] Based on the warehouse space data, the warehouse is divided into several range intervals, and each range interval is refined into different areas.
[0022] Specifically, after obtaining the warehouse space data, the warehouse is divided into several range intervals according to the actual layout and storage needs of the warehouse. It should be noted that these range intervals are usually determined based on the location of the shelves, the width of the aisles and the overall structure of the warehouse. Then, each range interval is further refined into different areas for more refined management, specifically through the use of tools such as GIS (geographic information system) or CAD (computer-aided design) for regional division.
[0023] In this embodiment, the warehouse is divided into 5 range intervals, each range interval is further divided into 10 areas, that is, the entire warehouse is divided into 50 different areas. Secondly, each area has a unique identifier, such as "area A1", "area B2", etc.
[0024] A safety assessment model is constructed based on the key factors affecting the safety of the warehouse, where the key factors include fire protection parameters, temperature control parameters, load-bearing parameters and ventilation parameters. The specific safety assessment model is: S=α×fire protection parameter+β×temperature control parameter+γ×load-bearing parameter+δ×ventilation parameter; where α, β, γ and δ are all custom weight coefficients.
[0025] Specifically, according to the actual situation and storage requirements of the warehouse, the key factors affecting the safety of the warehouse are determined, including fire protection parameters, temperature control parameters, load-bearing parameters, and ventilation parameters. Then, by determining the key factors affecting the safety of the warehouse and using mathematical formulas or algorithms, a safety assessment model is constructed. The constructed safety assessment model is: S = α × fire protection parameter + β × temperature control parameter + γ × load-bearing parameter + δ × ventilation parameter, where α, β, γ, and δ are the weight coefficients of fire protection parameters, temperature control parameters, load-bearing parameters, and ventilation parameters, respectively. It should be noted that these weight coefficients can be adjusted by managers according to the actual situation and storage requirements of the warehouse. For example, if a large number of flammable items are stored in the warehouse, the weight coefficient α of the fire protection parameter should be set higher.
[0026] Obtain basic information about each area of the warehouse, including fire protection information, temperature control information, load-bearing information, and ventilation information, and input the basic information of each area into the safety assessment model to output the safety assessment value of each area.
[0027] Specifically, basic information of each area of the warehouse is collected through sensors, detection instruments or manual inspections, including fire protection information, temperature control information, load-bearing information, and ventilation information. Then, this information is input into the safety assessment model, and the safety assessment model calculates the safety assessment value of each area based on this information.
[0028] In this embodiment, the fire protection parameter of a certain area of the warehouse ("area A1") is 85 (full score 100), the temperature control parameter is 90, the load-bearing parameter is 80, and the ventilation parameter is 75. Then, these parameters are input into the safety assessment model, and the pre-set weight coefficients α, β, γ, and δ are 0.3, 0.2, 0.3, and 0.2 respectively. The safety assessment value of the area is: S=0.3×85+0.2×90+0.3×80+0.2×75=84.
[0029] In the specific implementation process, the specific steps of the level division module include: Based on the safety requirements of warehouse management, multiple level threshold segments are customized, including level I and its corresponding level threshold segments, level II and its corresponding level threshold segments, and level III and its corresponding level threshold segments.
[0030] Specifically, based on the analysis results of safety requirements, multiple level threshold segments are set, and each level threshold segment is named and its corresponding numerical range is marked. Specifically, level I is set as a high-risk segment, corresponding to a higher safety parameter value; level II is set as a medium-risk segment, corresponding to a medium value; level III is set as a low-risk segment, corresponding to a lower value.
[0031] In this embodiment, level I (high risk): safety assessment value > 80; level II (medium risk): 40 ≤ safety assessment value ≤ 80; level III (low risk): safety assessment value < 40.
[0032] The obtained safety assessment value of each area is compared with each level threshold segment respectively, and the specific level threshold segment to which each area belongs is determined based on the comparison result. According to the result of the attribution, each area is divided into the safety level corresponding to the level threshold segment to obtain different safety level areas.
[0033] Specifically, the security assessment value of each area is compared with the numerical range of each level threshold segment one by one; based on the comparison results, the level threshold segment to which each area specifically belongs is determined, and it is divided into the security level corresponding to the segment, and the security level of each area is recorded to facilitate a clear understanding of the security level of each area, thereby providing an important basis for subsequent storage and management of items.
[0034] In this embodiment, the safety assessment value of a certain area of the warehouse ("area A1") is 65, and its safety assessment value is in the range of 40 ≤ safety assessment value ≤ 80, and is classified as the corresponding level II.
[0035] In the specific implementation process, the specific steps of the security association module include: In areas with different security levels, query the currently available space information, including location, size, and load-bearing capacity.
[0036] Specifically, the latest available vacancy information is retrieved from the warehouse management database. The available vacancy information is regularly updated by the warehouse management system or manually input by warehouse staff. According to the actual situation of the warehouse and the safety level requirements, the vacancies that meet the storage conditions are screened out. For example, some items may require specific temperature or humidity conditions, so it is necessary to exclude those vacancies that cannot meet these conditions, and integrate the screened vacancy information to form a list of available vacancies for use in subsequent steps.
[0037] In this embodiment, in a certain area of level II security, the following vacancy information is retrieved: vacancy A: position (X1, Y1, Z1), size (length 1m, width 1m, height 2m), load-bearing capacity 500kg; vacancy B: position (X2, Y2, Z2), size (length 1.5m, width 1m, height 2.5m), load-bearing capacity 800kg. After integrating this information, a list of available vacancies is formed for use in subsequent steps.
[0038] The information of the items to be stored is obtained from the incoming order, including the item type, size, weight, and storage requirements, and the storage characteristics of the items to be stored are analyzed based on the storage requirements according to the information of the items to be stored.
[0039] Specifically, key information of the items to be stored is extracted from the incoming orders, including item type, size, weight, storage requirements, etc.; based on the extracted key information of the items to be stored, the storage characteristics of the items are analyzed. For example, some items need to be refrigerated or stored at a constant temperature, while some items may be sensitive to humidity, or some items require special packaging or fixing methods. Then, the storage characteristics of the items are matched with the vacancy information in the warehouse to find out the vacancies that meet the storage conditions.
[0040] In this embodiment, there is an item C to be stored, and its information includes: item type: electronic product; size: length 0.8m, width 0.6m, height 1.2m; weight: 300kg; storage requirements: constant temperature, moisture-proof; after analysis, it is concluded that item C needs to be stored in a constant temperature and moisture-proof environment, so it is necessary to select a suitable space from the spaces that meet these conditions.
[0041] Based on the currently available space information, the safety association between the stored items and the items to be stored near the space is identified based on the safety specification.
[0042] Specifically, the compatibility between the items to be stored and the items already stored near the empty space is identified and checked. For example, some chemicals may react with each other, causing fire or explosion; some items may squeeze or damage each other due to weight or shape; and according to the warehouse's safety regulations and storage guidelines, the safe distance and safety measures between the items near the empty space and the items to be stored are determined. Among them, if the items already stored near the empty space and the items to be stored are identified as incompatible, the safety correlation is high and there is a safety hazard; if the items already stored near the empty space and the items to be stored are identified as compatible, the safety correlation is low and there is no safety hazard.
[0043] In this embodiment, slots A and B are selected for item C, and the items stored near these two slots are further checked. For slot A, some non-flammable and non-corrosive items are stored nearby, so after evaluation, it is considered that there is no obvious safety hazard between item C and these items; for slot B, some chemicals are stored nearby, some of which may be incompatible with electronic products, so after evaluation, it is considered that storing item C near slot B has safety hazards.
[0044] In the specific implementation process, the specific steps of the security assessment module include: According to the preset cycle time, various sensors are used to monitor the environmental parameters of each safety level area in real time.
[0045] Specifically, monitoring is automatically triggered according to a preset cycle time (such as every hour, every day or every week) to capture the environmental parameters in the warehouse in real time through various sensors installed in various security level areas of the warehouse; among them, the sensors include temperature sensors, humidity sensors, smoke detectors or infrared sensors.
[0046] In this embodiment, the preset monitoring cycle of the warehouse is once a day, and the monitoring task is automatically started at 2 a.m. every day. The temperature sensor finds that the temperature in area A suddenly rises to 35°C, exceeding the maximum tolerable temperature of 30°C for items stored in the area. At this time, this abnormal situation is immediately recorded.
[0047] The preset parameter threshold is used to determine whether the environmental parameters of each security level area exceed the parameter threshold.
[0048] Specifically, after obtaining the environmental parameters of each security level area, these parameters are compared with the preset parameter thresholds, where these parameter thresholds are set in advance based on factors such as the characteristics of the stored items, warehouse management specifications, and safety standards. During the comparison process, each environmental parameter is checked one by one to see if it exceeds its corresponding threshold. If a parameter is judged to exceed the threshold, it will be marked as abnormal.
[0049] In this embodiment, when the monitoring finds that the temperature in area A rises abnormally, the temperature parameter of the area will be immediately compared with the preset threshold value (such as 30°C). Since the actual temperature (35°C) exceeds the threshold value, area A will be marked as an abnormal area and a secondary safety assessment will be prepared.
[0050] If the environmental parameters of the security level area exceed the parameter threshold, the security level area is re-evaluated through the security evaluation model, and the security level of each security level area is updated according to the result of the secondary safety evaluation.
[0051] Specifically, when the environmental parameters of a certain safety level area exceed the parameter threshold, the secondary safety assessment process is initiated. During the secondary assessment process, the relevant information of the area (such as fire protection information, temperature control information, etc.) is collected again and input into the safety assessment model. The safety assessment model will then recalculate the safety assessment value of the area based on this information and update the safety level of the area based on the new value. The updated safety level will be used to guide subsequent warehouse management decisions, such as adjusting storage strategies.
[0052] In this embodiment, after area A is marked as abnormal, a secondary security assessment process is initiated. After re-evaluation, the security assessment value of area A drops from the original 85 points to 60 points. Based on this result, the system lowers the security level of area A from the original level II to level III. Subsequently, the system adjusts the storage strategy of area A according to the updated security level.
[0053] In the specific implementation process, the specific steps of the strategy generation module include: Based on the updated security level of each area, all vacancies are sorted according to the security level from high to low to obtain a vacancy sorting result.
[0054] Specifically, the updated security level information of each area is obtained. This security level information reflects the current security status of different areas in the warehouse and is an important basis for deciding the storage location. Subsequently, all candidate vacancies are sorted in descending order according to the security level. This means that the vacancies in the area with the highest security level will be given priority, followed by the area with the second highest security level, and so on.
[0055] In this embodiment, there are three areas A, B, and C in the warehouse, and the updated security levels are Level I (highest), Level II, and Level III respectively. In each area, there are several vacancies. Therefore, in step S501, the system will first put all the vacancies in area A at the front of the list, followed by the vacancies in area B, and finally the vacancies in area C.
[0056] And sort the safety relevance between each item to be stored and the empty space from low to high to obtain the safety relevance sorting result.
[0057] Specifically, according to the security association information between the to-be-stored items and the stored items near the candidate slots obtained by analysis, the security associations of the to-be-stored items and the candidate slots are sorted from low to high to ensure that the to-be-stored items are placed in the slots with the highest compatibility and the lowest security risk.
[0058] In this embodiment, there are two types of items to be stored, X and Y, which have different security associations with empty spaces. Item X has a high security association with an empty space in area A, but a low security association with empty spaces in areas B and C; while item Y has the highest security association with an empty space in area B. Then, in step S502, the security association of item X with the empty space in area A is first placed at the top of the list, followed by the security association of item Y with the empty space in area B, and so on.
[0059] According to the vacancy sorting results and the security association sorting results, the vacancy for storing items is screened, so as to generate an item adjustment strategy according to the screening results.
[0060] Specifically, according to the results of the vacancy sorting and the security relevance sorting, the vacancy for storing the items to be stored is screened. The principle of screening is to give priority to the vacancy with a high security level and a high security relevance. Through screening, the best storage space for each item to be stored can be determined.
[0061] In this embodiment, the best storage location for item X is a certain empty space in area A (with a high security level and high security relevance), and the best storage location for item Y is a certain empty space in area B. Then, an item adjustment strategy is generated to recommend that the manager store item X in the empty space in area A and store item Y in the empty space in area B.
[0062] Embodiment 2 like Figure 2 As shown, an automated warehouse management system comprises the following steps: S1. Collect warehouse space data and divide the warehouse space into several areas based on it, and use the pre-built safety assessment model to conduct safety assessment on each area to obtain the safety assessment value of each area; S2. By comparing the safety evaluation value of each area with a plurality of preset level threshold sections, each area is divided into different safety level areas according to the comparison result, wherein each level threshold section corresponds to each safety level; S3, obtaining vacant space information of the security level area and information of the items to be stored, analyzing the characteristics of the items to be stored from the information of the items to be stored, and analyzing the security association between the items near the vacant space and the items to be stored; S4. Monitor the environmental parameters of each security level area in real time according to the preset cycle time, and conduct a secondary safety assessment on each area to update the safety level of each area; S5. Generate a dynamic item adjustment strategy based on the updated security level of each area and the security association between items near the empty space and the items to be stored.
[0063] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0064] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.
[0065] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.
Claims
1. An automated warehouse management system, characterized in that: The warehouse management system comprises: The division and assessment module is used to collect warehouse space data and divide the warehouse space into several areas, and use the pre-built safety assessment model to conduct safety assessment on each area to obtain the safety assessment value of each area; A level division module, for comparing the safety evaluation value of each area with a plurality of preset level threshold sections, so as to divide each area into different safety level areas according to the comparison result, wherein each level threshold section corresponds to each safety level; A security association module, used to obtain the vacant space information of the security level area and the acquired information of the items to be stored, analyze the characteristics of the items to be stored from the acquired information of the items to be stored, and analyze the security association between the items near the vacant space and the items to be stored; The safety assessment module is used to monitor the environmental parameters of each safety level area in real time according to the preset cycle time, and conduct a secondary safety assessment on each area to update the safety level of each area; The strategy generation module is used to generate a dynamic item adjustment strategy based on the updated security level of each area and the security association between items near the empty space and the items to be stored.
2. An automated warehouse management system according to claim 1, characterized in that: The method of collecting warehouse space data and dividing the warehouse space into several areas, and using a pre-built safety assessment model to perform safety assessment on each area to obtain a safety assessment value for each area specifically includes the following steps: Collect warehouse space data through 3D scanning equipment, including the length, width, height, shelf layout and aisle width of the warehouse; Based on the warehouse space data, the warehouse is divided into several ranges, and each range is refined into different areas; A safety assessment model is constructed based on the key factors that affect warehouse safety. The key factors include fire protection parameters, temperature control parameters, load-bearing parameters, and ventilation parameters. The specific safety assessment model is: S=α×fire protection parameter+β×temperature control parameter+γ×load-bearing parameter+δ×ventilation parameter, where α, β, γ, and δ are all custom weight coefficients. Obtain basic information about each area of the warehouse, including fire protection information, temperature control information, load-bearing information, and ventilation information, and input the basic information of each area into the safety assessment model to output the safety assessment value of each area.
3. The automated warehouse management system according to claim 1, characterized in that: The method compares the safety evaluation value of each area with a plurality of preset level threshold sections, so as to divide each area into different safety level areas according to the comparison result, wherein each level threshold section corresponds to each safety level, and specifically includes the following steps: Based on the safety requirements of warehouse management, multiple level threshold segments are customized, including level I and its corresponding level threshold segment, level II and its corresponding level threshold segment, and level III and its corresponding level threshold segment; The obtained safety assessment value of each area is compared with each level threshold segment respectively, and the specific level threshold segment to which each area belongs is determined based on the comparison result. According to the result of the attribution, each area is divided into the safety level corresponding to the level threshold segment to obtain different safety level areas.
4. The automated warehouse management system according to claim 1, characterized in that: The step of obtaining the vacancy information of the security level area and the information of the items to be stored, analyzing the characteristics of the items to be stored from the information of the items to be stored, and analyzing the security association between the items near the vacancy and the items to be stored specifically includes the following steps: In areas with different security levels, query the currently available space information, including location, size, and load-bearing capacity; Obtain information about the items to be stored from the incoming order, including item type, size, weight, and storage requirements, and analyze the storage characteristics of the items to be stored based on the storage requirements according to the information about the items to be stored; Based on the currently available space information, the safety association between the stored items and the items to be stored near the space is identified based on the safety specification.
5. The automated warehouse management system according to claim 1, characterized in that: The method of monitoring the environmental parameters of each security level area in real time according to a preset cycle time and performing a secondary safety assessment on each area to update the security level of each area specifically includes the following steps: According to the preset cycle time, various sensors are used to monitor the environmental parameters of each safety level area in real time; Determine whether the environmental parameters of each security level area exceed the parameter threshold through the preset parameter threshold; If the environmental parameters of the security level area exceed the parameter threshold, the security level area is re-evaluated through the security evaluation model, and the security level of each security level area is updated according to the result of the secondary safety evaluation.
6. The automated warehouse management system according to claim 1, characterized in that: The method of generating a dynamic item adjustment strategy based on the updated security level of each area and the security association between items near the empty space and the items to be stored specifically includes the following steps: Based on the updated security level of each area, all vacancies are sorted according to the security level from high to low to obtain the vacancy sorting result; And sort the safety relevance between each item to be stored and the empty space from low to high to obtain the safety relevance sorting result; According to the vacancy sorting results and the security association sorting results, the vacancy for storing items is screened, so as to generate an item adjustment strategy according to the screening results.
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