Warehouse integrated management method and system

Abstract

This invention provides a comprehensive warehouse management method and system, belonging to the field of warehouse management technology. Specifically, it includes: based on an update identification processing method, scanning the inventory status of different goods; determining the need for updating the spare label processing strategy by comparing the matching degree between the update setting data of the spare labels and the identification results of the labels in different scanning processes; and determining the warehouse management method in different areas based on the update identification processing method and the matching degree between the update setting data of the spare labels in different areas and the identification results of the labels in different scanning processes, thereby ensuring the reliability of the inventory processing of goods in the areas.

Description

Technical Field

[0001] This invention belongs to the field of warehouse management technology, and in particular relates to a comprehensive warehouse management method and system. Background Technology

[0002] Medical products (such as disposable infusion sets, syringes, surgical gowns, masks, dressings, etc.) must undergo ethylene oxide sterilization after production and be left to stand in a desorption chamber for a sufficient time to remove residual ethylene oxide gas, ensuring product safety before release for shipment. This process involves multiple continuous steps, including preheating, sterilization, primary desorption, and secondary desorption, typically lasting more than 24 hours and involving various equipment such as preheating rooms, sterilization cabinets, and desorption chambers, as well as multiple systems such as WMS (Warehouse Management System), RCS (Robot Scheduling System), and WCS (Warehouse Control System).

[0003] To achieve inbound and outbound inventory management of stored goods, existing technical solutions use a Warehouse Management System (WMS) to record product inbound, outbound, and inventory location information, and use barcodes or RFID for batch traceability, thus realizing electronic management of inventory information. However, the following technical problems exist: RFID tags inevitably face a certain degree of failure risk after prolonged use. Therefore, it is generally necessary to identify and process failed tags through scanning. However, due to scanning time limitations, scanning may not be able to effectively identify all tags. Thus, determining a backup tag setting and processing strategy based on the degree of scanning deviation risk, and determining the tag scanning management method for different areas based on the backup tag setting results, thereby improving the reliability of cargo monitoring and processing, has become an urgent technical problem to be solved.

[0004] Specifically, this application provides a method and system for comprehensive warehouse management. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a comprehensive warehouse management method, which includes: S1 determines the degree of consistency between the identification results of different goods' labels and the warehousing system, and determines the setting and processing strategy for the spare labels of the goods based on the degree of consistency between the identification results and the warehousing system. S2 uses the setting processing strategy to set up backup labels for different goods, and determines the update identification processing method for labels in the region based on the update setting data of backup labels for goods in different regions. S3, based on the aforementioned update identification processing method, performs scanning processing of different goods' inventory status. When determining the degree of matching between the goods' spare label update setting data and the goods' label identification results in different scanning processes, and when it is determined that the spare label update processing strategy needs to be updated, proceeds to the next step. S4 determines the warehouse management method in different areas based on the updated identification processing method and the degree of matching between the updated setting data of backup tags in different areas and the identification results of the tags of goods in different scanning processes.

[0006] The beneficial effects of this invention are as follows: By assessing the consistency between the identification results and those in the warehousing system, the deviation risk of the scan results obtained in different scanning processes is determined. Based on the deviation risk of the scan results obtained in different scanning processes, the setting and processing strategy for the acquired backup tags is determined, thereby reducing capital investment costs while ensuring the reliability of cargo monitoring and management.

[0007] By using the updated setting data of backup tags and the distribution data of goods with backup tags in different regions, the degree of improvement in the reliability of inventory processing in different regions after the backup tag setting process is determined. Based on the degree of improvement in the reliability of inventory processing in different regions, the update and identification processing method of tags in the regions is determined, thereby ensuring the reliability of inventory processing of goods in the regions.

[0008] Furthermore, the identification result of the cargo's label is determined based on the scanning result of the cargo in the label scanning device.

[0009] Furthermore, the degree of consistency between the identification result and the warehousing system is determined based on the consistency between the scanning results of the goods and the warehousing system in different scanning processes.

[0010] Furthermore, the method for determining the strategy for setting up and processing the spare tags for the goods is as follows: Based on the degree of consistency between the identification results and the warehousing system, the amount of deviation between the scanning results of goods and the warehousing system in different scanning processes is determined. The amount of deviation is used to determine the scanning process in which the scanning results of goods and the inventory data of the warehousing system are inconsistent, and this process is taken as the deviation scanning process. The deviation coefficient of the deviation scanning process is determined by using the ratio of the number of deviations to the total number of goods in the warehousing system. Based on the deviation scanning process and the deviation coefficient of different deviation scanning processes, the strategy for setting up and processing the spare labels for the goods is determined.

[0011] Furthermore, determining the need to update the backup tag update strategy specifically includes: S31 uses the update setting data of the cargo's spare tag to determine the cargo's spare tag setting; S32 uses the matching degree between the identification results of the labels of goods set with the backup label and the labels of goods in different scanning processes to determine the goods whose labels were not identified in the scanning process and do not belong to the goods set with the backup label, and regards them as the goods with screening deviations. S33 determines whether the backup label update strategy needs to be updated based on the screening deviation cargo data in different scanning processes.

[0012] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the aforementioned integrated warehouse management method when running the computer program.

[0013] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0014] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0015] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0016] Figure 1 This is a flowchart of a comprehensive warehouse management method; Figure 2 This is a flowchart illustrating the method for determining the handling strategy for setting up spare labels for goods. Figure 3 This is a flowchart illustrating the method for determining the label update and identification processing method in the region. Detailed Implementation

[0017] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0018] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0019] Example 1 The core objective of this embodiment is to determine the setting and processing strategy for backup tags by assessing the consistency between the cargo tag identification results and the warehousing system. Then, based on the updated setting data of the backup tags, it determines the tag update and identification processing method for the area. Finally, it determines the backup tag update strategy and warehousing management method by assessing the matching degree between the backup tags and the identification results during the scanning process. This ensures the reliability of cargo monitoring and management while reducing capital investment costs. The overall logic follows the process of "determining the backup tag setting and processing strategy → determining the tag update and identification processing method → ​​determining the backup tag update strategy → determining the warehousing management method".

[0020] To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a comprehensive warehouse management method is provided, specifically including: S1 determines the degree of consistency between the identification results of different goods' labels and the warehousing system, and determines the setting and processing strategy for the spare labels of the goods based on the degree of consistency between the identification results and the warehousing system. Furthermore, the identification result of the cargo's label is determined based on the scanning result of the cargo in the label scanning device.

[0021] It is understood that the degree of consistency between the identification results and the warehousing system is determined based on the consistency between the scanning results of the goods and the warehousing system in different scanning processes.

[0022] Specifically, such as Figure 2 As shown, the method for determining the strategy for setting up and processing the spare tags for the goods is as follows: In this embodiment, the deviation risk of the scanning results obtained in different scanning processes is determined by the degree of consistency between the identification results and the warehousing system. Based on the deviation risk of the scanning results obtained in different scanning processes, the setting and processing strategy of the acquired backup tags is determined, thereby reducing capital investment costs while ensuring the reliability of cargo monitoring and management.

[0023] The backup label setting strategy refers to the decision rules for determining under what conditions to set backup labels for goods; the consistency between the identification results and the warehousing system refers to the degree of agreement between the scanning results of goods in the label scanning device and the inventory data recorded by the warehousing system.

[0024] If, during multiple scans, the scan results for a certain item are inconsistent with the records in the warehousing system, it indicates that the consistency between the label recognition results for that item and the warehousing system is low, and there is a risk of label recognition deviation.

[0025] The strategy for setting up backup tags is determined by the degree of consistency between the identification results and the warehousing system. The setting conditions for backup tags are dynamically adjusted according to the deviation risk level of tag identification, thereby reasonably controlling the investment cost of backup tags while ensuring the reliability of cargo monitoring.

[0026] S11 determines the number of deviations between the scanning results of goods and the warehousing system in different scanning processes based on the degree of consistency between the identification results and the warehousing system. The number of deviations is used to determine the scanning process in which the scanning results of goods and the inventory data of the warehousing system are inconsistent, and this process is taken as the deviation scanning process. The deviation scanning process refers to the scanning process in which there is an inconsistency between the scanning result of the goods and the inventory data of the warehousing system; the deviation quantity refers to the number of goods whose scanning result is inconsistent with the warehousing system in a single scanning process.

[0027] If, during a single scan, the scan results for multiple goods are inconsistent with the records in the warehousing system, then this scan process is identified as a deviation scan process. The number of deviations is the number of inconsistent goods. By identifying the deviation scan process through the number of deviations, batches with label identification problems can be screened out from the scan process, providing basic data for the subsequent calculation of deviation coefficients and the determination of setting strategies.

[0028] It is understandable that if the proportion of the number of deviation scanning processes in the scanning process is less than the preset threshold for the proportion of the number of deviation processes, then the number of deviation scanning processes is relatively small. Therefore, the setting and processing strategy for the spare label of the goods is determined to be the basic control strategy, that is, the setting target of the spare label is determined in the most lenient way.

[0029] The preset threshold for the proportion of deviation processes refers to the critical value for judging whether deviation scanning processes are common. When the proportion is less than this threshold, there are fewer deviation scanning processes, and a lenient control strategy is adopted. It is assumed that the proportion of deviation scanning processes is small, indicating that most scanning processes are normal and the overall reliability of tag recognition is high. Therefore, a lenient basic control strategy is adopted.

[0030] When the deviation scanning process accounts for a small percentage, a lenient strategy is adopted. When the overall reliability of tag recognition is high, spare tags are only set for goods that cannot be recognized multiple times in a row, so as to avoid unnecessary investment in spare tags.

[0031] Specifically, the basic control strategy is to set a backup tag for the goods if the tag is not identified during a series of preset number of scans.

[0032] Assuming the basic control strategy is preset to three times, if a cargo fails to be tagged in three consecutive scans, a backup tag is set for it. This clarifies the execution rules of the basic control strategy, triggering the backup tag setting under the most lenient conditions, thereby ensuring basic cargo monitoring coverage while minimizing capital investment.

[0033] It should also be noted that if the proportion of the number of deviation scanning processes in the scanning process is not less than the preset threshold for the proportion of the number of deviation processes, proceed to step S12. S12 uses the ratio of the number of deviations to the total number of goods in the warehousing system to determine the deviation coefficient of the deviation scanning process; The deviation coefficient refers to the proportion of goods whose scanning results are inconsistent with the warehousing system during the deviation scanning process to the total number of goods in the warehousing system, and is used to quantify the severity of the deviation in the scanning process.

[0034] Suppose that during a certain deviation scanning process, the scanning results of multiple goods are inconsistent with the warehousing system. The ratio of the number of deviations to the total number of goods is the deviation coefficient of the deviation scanning process. By determining the deviation coefficient by the ratio of the number of deviations to the total number of goods, the absolute number of deviations is transformed into a relative proportion, eliminating the influence of different warehouse sizes on the measurement of the degree of deviation, and making the degree of deviation comparable in scenarios of different scales.

[0035] Specifically, in the above steps, based on the deviation coefficients of different deviation scanning processes, it is determined whether the average value of the deviation coefficients in different deviation scanning processes is greater than the preset deviation coefficient threshold. If so, the setting and processing strategy for the spare label of the goods is determined to be a Class II control strategy, that is, the most stringent method is used to determine the setting target of the spare label. If not, proceed to step S13.

[0036] The preset deviation coefficient threshold refers to the critical value for judging whether the degree of deviation in the deviation scanning process is serious. When the average value of the deviation coefficient is greater than the threshold, it indicates that the tag recognition problem is relatively serious, and a strict control strategy is adopted. If the average value of the deviation coefficient of each deviation scanning process is large and exceeds the preset deviation coefficient threshold, it indicates that the tag recognition deviation is relatively common and serious, and a strict second-class control strategy is adopted.

[0037] When the average deviation coefficient is high, a strict strategy is adopted. When the degree of label identification deviation is serious, stricter conditions are used to ensure that the coverage of backup labels is wider, thereby effectively improving the reliability of cargo monitoring.

[0038] Specifically, the second type of control strategy is to set a backup tag for the goods if the goods are not identified in a second preset number (greater than the preset number) of consecutive scanning processes, and the proportion of scanning processes in which the goods are not identified in the most recent preset time period is higher than the preset scanning process proportion threshold.

[0039] For example, assuming the second preset number of the second-class control strategy is 5 times (greater than the 3 times of the basic strategy), and the preset scanning process percentage threshold is 0.50, then if a certain item is not identified in 5 consecutive scanning processes, and the non-identification percentage of all scanning processes in the most recent 2 months is above 0.50, then a backup label will be set for it.

[0040] By triggering the setting of backup labels under the dual conditions of a longer number of consecutive unidentified entries and the proportion of unidentified entries, the setting threshold is raised when the label recognition deviation is serious, so as to cover more potentially tagged goods.

[0041] S13, based on the deviation scanning process and the deviation coefficient of different deviation scanning processes, determine the setting and processing strategy for the spare label of the goods.

[0042] Assuming that the proportion of deviation scanning processes and the average value of deviation coefficients are already determined, the deviation risk weight value is calculated comprehensively. Depending on whether the weight value exceeds the preset risk weight threshold, a first-class control strategy or a basic control strategy is adopted. The processing strategy is determined by comprehensively considering the number of deviation scanning processes and the deviation coefficients. The overall deviation risk is assessed collaboratively from the two dimensions of deviation frequency and deviation degree, thereby achieving adaptive selection of control strategies.

[0043] It is understood that, based on the deviation scanning process and the deviation coefficient of different deviation scanning processes, the strategy for setting up and processing the spare tags for the goods is determined, specifically including: Based on the proportion of the number of deviation scanning processes and the average value of the deviation coefficients of different deviation scanning processes, a deviation risk weight value is determined. It is then determined whether the deviation risk weight value is greater than a preset risk weight threshold. If so, the setting and processing strategy for the spare label of the goods is determined to be a type of control strategy. If not, the setting and processing strategy for the spare label of the goods is determined to be a basic control strategy.

[0044] The deviation risk weight value refers to the average of the proportion of deviation scanning processes and the average deviation coefficient. The first type of control strategy refers to a stricter control strategy adopted when the deviation risk is high. The specific rule is that when the goods fail to identify their label in a continuous preset number of scanning processes, and the proportion of scanning processes in which the label is not identified is above the preset scanning process proportion threshold, a spare label is set for them.

[0045] If the deviation risk weight value is greater than the preset risk weight threshold, it indicates that the overall deviation risk is high and a Class I control strategy is adopted. Otherwise, a basic control strategy is adopted. The final judgment is made by the deviation risk weight value. When the number and degree of deviation scanning are both prominent, a strict strategy is adopted. Otherwise, a lenient strategy is adopted, thereby achieving a balance between risk coverage and cost control.

[0046] This embodiment realizes a complete process from identifying the deviation scanning process to calculating the deviation coefficient and determining the backup tag setting processing strategy. The prevalence of scanning deviation is judged by the proportion of deviation scanning processes. When the proportion is low, a lenient basic control strategy is adopted to control costs. The severity of deviation is judged by the average deviation coefficient. When the severity is severe, a strict second-class control strategy is adopted to ensure coverage. The deviation risk weight value is used to comprehensively evaluate the deviation frequency and deviation severity. When the overall risk is high, a first-class control strategy is adopted, and when the risk is low, a lenient strategy is adopted, thereby achieving adaptive selection of the backup tag setting strategy.

[0047] A warehouse management system manages 5,000 items distributed across five areas, Z1 to Z5. During the monitoring period of the most recent month, 200 scans were performed. The number of scans that did not match the warehouse system's inventory data was tallied to identify discrepancies.

[0048] Step S11: During the 200 scans, 35 scans showed discrepancies between the scanned goods and the warehousing system results; these are considered deviation scans. The percentage of deviation scans = 35 / 200 = 0.175. Determine if 0.175 is less than the preset threshold of 0.15: If 0.175 is not less than 0.15, proceed to S12.

[0049] Step S12: For each of the 35 deviation scans, calculate the deviation coefficient for each process (the number of inconsistent goods in that scan ÷ 5000). The calculated deviation coefficients for the 35 deviation scanning processes are as follows: 0.008, 0.012, 0.015, 0.021, 0.018, 0.030, 0.025, 0.010, 0.028, 0.033, 0.009, 0.016, 0.020, 0.022, 0.035, 0.011, 0.027, 0.031, 0.014, 0.019, 0.023, 0.026, 0.013, 0.029, 0.032, 0.017, 0.024, 0.036, 0.034, 0.015, 0.020, 0.028, 0.022, 0.018, and 0.030.

[0050] Average deviation coefficient = Sum of deviation coefficients for each deviation ÷ 35 ≈ 0.021.

[0051] Determine if the average value of 0.021 is greater than the preset deviation coefficient threshold of 0.02: If 0.021 is greater than 0.02, then the backup label setting and processing strategy is determined to be a Class II control strategy: If the goods fail to identify their labels in 5 consecutive scanning processes and the percentage of scanning processes in which the labels are not identified is greater than 0.50, then a backup label is set for them.

[0052] S2 uses the setting processing strategy to set up backup labels for different goods, and determines the update identification processing method for labels in the region based on the update setting data of backup labels for goods in different regions. Specifically, such as Figure 3 As shown, the method for determining the label update and identification processing method in the area is as follows: In this application, the degree of improvement in the reliability of inventory processing in different areas is determined by using the updated setting data of backup tags and the distribution data of goods with backup tags in different areas. Based on the degree of improvement in the reliability of inventory processing in different areas, the update identification processing method of tags in the areas is determined, thereby ensuring the reliability of inventory processing of goods in the areas.

[0053] The label update and identification processing method refers to determining the execution rules for label identification and scanning processing in different areas after setting up backup labels, including the scanning cycle, triggering conditions, and execution method.

[0054] If a certain region has a high percentage of goods with spare tags, it indicates that the tag identification problem in that region is quite prominent, and a dynamic update identification processing method is needed to strengthen monitoring coverage.

[0055] By setting up cargo distribution data using backup tags, the updated identification and processing method is determined. Based on the setting ratio and distribution characteristics of backup tags in each region, the execution rules for tag identification scanning are determined differently, thereby rationally allocating scanning resources while ensuring identification reliability.

[0056] S21 uses the update setting data of the spare tags of goods in different areas to determine the goods with spare tags and set them as goods with spare tags. The goods with the backup label set refer to the goods for which backup labels have been installed in accordance with the setting and processing strategy. Assuming that backup labels are set for goods that meet the conditions according to the second-class control strategy determined by S1, these goods are the goods with the backup label set.

[0057] The significance of identifying goods with backup labels by updating the settings data lies in providing basic data for subsequent regional analysis and clarifying which goods already have backup label protection.

[0058] It is understandable that in the above steps, the overall setting ratio is determined based on the proportion of the goods set by the backup label in all goods. It is then determined whether the overall setting ratio is less than the preset setting ratio threshold. If so, the setting ratio is low. Therefore, the label update and identification processing method in the area is determined to be a dynamic update and identification method, that is, the update and identification processing of all areas is performed according to the preset time period. When the proportion of the unidentified goods in the most recent scanning process is above the preset goods proportion threshold, the scanning process is performed a preset number of times at equal intervals in the future preset time period. If not, the process proceeds to step S22. The overall setting ratio refers to the proportion of goods with spare labels among all goods, reflecting the overall coverage of spare labels; the preset setting ratio threshold refers to the critical value for judging whether the coverage of spare labels is sufficient.

[0059] If the overall setting ratio is low, it indicates that the coverage of backup tags is insufficient. A dynamic update identification method is needed to strengthen scanning and monitoring. When the overall setting ratio is low, the dynamic update identification method is used. When the backup tag coverage is insufficient, a more proactive scanning strategy is used to make up for the coverage gaps, ensuring the reliability of cargo status monitoring.

[0060] S22, Based on the distribution data of the goods with backup labels, determine the proportion of the number of goods with backup labels in different areas, and use it as the backup setting ratio; The backup setting ratio refers to the ratio of the number of goods with backup labels in a specific area to the total number of goods in that area, reflecting the backup label coverage in that area.

[0061] Assuming there are 1000 goods in region Z1, of which 100 are goods with spare tags, the spare tag setting ratio for this region is 0.10. By calculating the spare tag setting ratio for each region, the coverage balance of spare tags can be evaluated from the regional perspective, providing a regional basis for determining the subsequent differentiated scanning strategy.

[0062] Specifically, in the above steps, it is determined whether the backup setting ratio in different areas is greater than the preset setting ratio value (greater than the preset setting ratio threshold). If so, the update identification processing method of the tag in the area is determined to be the static identification processing method, that is, the update identification processing in all areas is performed according to the preset time period. If not, proceed to step S23. The preset setting ratio value refers to the threshold for judging whether the coverage of backup tags in the area is sufficient. It is greater than the preset setting ratio threshold. When the backup setting ratio of all areas is greater than this value, it indicates that the coverage of each area is sufficient. The static recognition processing method is adopted. It is assumed that the backup setting ratio of all areas is greater than the preset setting ratio value, indicating that the backup tag coverage of each area is relatively sufficient. Static periodic scanning can meet the requirements.

[0063] When the coverage of each area is sufficient, a static identification processing method is adopted. When the coverage of backup tags in each area reaches a sufficient level, there is no need to dynamically adjust the scanning strategy. Reliability can be maintained by scanning at a fixed cycle.

[0064] S23, determine the label update identification processing method in the region based on the spare setting ratio in different regions.

[0065] Assuming that not all regions have a backup setting ratio greater than the preset setting ratio, the dynamic update identification method or other update identification methods will be further determined based on the ratio of the matching deviation regions and the overall setting ratio.

[0066] Specifically, the method for updating and identifying tags in a given area is determined based on the proportion of backup settings in different areas, and includes: S231, the area with a backup setting ratio not greater than the preset value of the setting ratio is taken as the matching deviation area. It is determined whether the proportion of the matching deviation area in all areas is above the preset deviation area proportion threshold. If so, the update recognition processing method of the label in the area is determined to be the dynamic update recognition method. If not, proceed to step S232. The matching deviation region refers to the region where the backup setting ratio is insufficient; the preset deviation region ratio threshold refers to the critical value for judging whether the matching deviation region is prevalent.

[0067] If the proportion of mismatched areas is large, it indicates that the backup label coverage in most areas is insufficient. Therefore, a dynamic update identification method is used to enhance the overall scanning coverage. When the proportion of mismatched areas is high, the dynamic update identification method is used. When the areas with insufficient coverage are widespread, a dynamic scanning strategy is used to make up for the global coverage gap.

[0068] S232, based on the proportion of the matching deviation area in the region and the comprehensive setting ratio, determine the setting deviation risk value, and determine whether the setting deviation risk value is greater than the preset risk threshold. If yes, determine that the update identification processing method of the label in the region is a dynamic update identification method; otherwise, determine that the update identification processing method of the label in the region is another update identification method.

[0069] The setting deviation risk value is determined based on the proportion of the matching deviation area and the overall setting ratio. The higher the proportion of the matching deviation area and the lower the overall setting ratio, the higher the setting deviation risk value. Specifically, it is determined based on the difference between 1 and the overall setting ratio and the average of the proportion of the matching deviation area. The preset risk threshold refers to the critical value for judging whether the setting deviation risk is significant.

[0070] If the deviation risk value is set to be greater than the preset risk threshold, it indicates that there are many areas with insufficient coverage and the overall coverage ratio is low. In this case, a dynamic update identification method is adopted. Otherwise, other update identification methods are adopted. The final judgment is made by setting the deviation risk value. The proportion of areas with insufficient coverage and the overall coverage level are considered. When the risk is high, a dynamic strategy is adopted, and when the risk is low, other strategies are adopted.

[0071] The other update identification method is to perform update identification processing in all areas according to a preset time period. When the proportion of unidentified goods in the most recent scan is above a preset goods proportion threshold, and the proportion of unidentified goods in the basic area is above the preset goods proportion threshold, then a preset number of scans will be performed at equal intervals within a preset time period in the future. If other update identification methods are used, scans will be performed at fixed intervals, but when multiple areas have high unidentification rates at the same time, additional equal-interval scans will be triggered.

[0072] This implementation realizes a complete process from determining the overall setting ratio to analyzing the regional backup setting ratio and determining the updated identification and processing method. The overall coverage level is determined by the overall setting ratio, and a dynamic update identification method is used to strengthen scanning when the coverage is insufficient. The coverage balance is determined by the backup setting ratio of each region, and a static identification and processing method is used to simplify the operation when the coverage of each region is sufficient. By jointly evaluating the ratio of the region with the deviation and the overall setting ratio, an appropriate identification and processing method is dynamically selected when the coverage is uneven, thereby realizing the adaptive adjustment of the scanning strategy.

[0073] The 5,000 items are distributed across five zones, Z1 to Z5. Based on the Category II control strategy (setting a backup label when an item is unidentified five times consecutively with an unidentified percentage ≥ 0.50%), a total of 350 items have been assigned backup labels.

[0074] Step S21: Set labels for 350 items, with a comprehensive setting ratio of 350 / 5000 = 0.07. Determine if 0.07 is less than the preset setting ratio threshold of 0.05: If 0.07 is not less than 0.05, proceed to S22.

[0075] Step S22: Calculate the quantity and proportion of goods with spare labels in each region. Z1: 1000 items, 50 spare labels, spare setting ratio = 50 / 1000 = 0.05; Z2: 1000 items, 80 spare labels, spare setting ratio = 80 / 1000 = 0.08; Z3: 1000 items, 110 spare labels, spare setting ratio = 110 / 1000 = 0.11; Z4: 1000 items, 70 spare labels, spare setting ratio = 70 / 1000 = 0.07; Z5: 1000 items, 40 spare labels, spare setting ratio = 40 / 1000 = 0.04.

[0076] Determine if the standby setting ratio for each area is greater than the preset value of 0.10: Z1 (0.05) is not greater than 0.10, Z2 (0.08) is not greater than 0.10, Z4 (0.07) is not greater than 0.10, Z5 (0.04) is not greater than 0.10, only Z3 (0.11) is greater than 0.10. Not all areas are greater than 0.10, otherwise, proceed to S23.

[0077] Step S23: Step S231: Regions with a backup setting ratio not exceeding the preset setting ratio value of 0.10 are designated as matching deviation regions: Z1 (0.05), Z2 (0.08), Z4 (0.07), and Z5 (0.04), for a total of four. The proportion of the matching deviation region in all regions = 4 / 5 = 0.80. Determine if 0.80 is above the preset deviation region proportion threshold of 0.40: If 0.80 is greater than 0.40, then the label update and recognition processing method in the region is determined to be the dynamic update recognition method.

[0078] The specific implementation of the dynamic update identification method is as follows: all areas are updated and identified according to a preset time period of 24 hours. When the proportion of unidentified goods in the most recent scan is higher than the preset goods proportion threshold of 0.05, three additional scans are performed at equal intervals of once a day in the next 7 days.

[0079] Furthermore, the expiration time range of the label is determined based on the time range in which the label of the goods expires.

[0080] S3, based on the aforementioned update identification processing method, performs scanning processing of different goods' inventory status. When determining the degree of matching between the goods' spare label update setting data and the goods' label identification results in different scanning processes, and when it is determined that the spare label update processing strategy needs to be updated, proceeds to the next step. It is understood that determining the need to update the backup tag update strategy specifically includes: In this embodiment, the reliability of the inventory processing of goods after setting the backup tags is determined based on the obtained backup tag update setting data and the matching degree between the backup tag setting goods and the identification results of the tags of goods in different scanning processes. Based on the reliability of the inventory processing of goods after setting the backup tags, it is determined whether the backup tag update processing strategy needs to be updated, thereby laying the foundation for further improving the overall reliability of monitoring and processing.

[0081] The backup tag update strategy refers to the rules for adjusting the original setting strategy based on the actual scanning results during operation. When the existing strategy cannot effectively cover the tag recognition problem, it needs to be updated.

[0082] If, after setting up backup labels, there are still many unidentified goods that fail to be identified during the scanning process, it indicates that the current strategy needs to be updated.

[0083] The matching degree between backup tags and recognition results during the scanning process determines whether the processing strategy needs to be updated. The effectiveness of the existing strategy is verified by feedback from actual operation data, ensuring that the strategy can dynamically adapt to changes in the tag recognition environment.

[0084] S31, using the update setting data of the spare label for the goods, determine the goods with spare label settings; Goods for which a backup label has been set according to the Category II control strategy determined in S1 are goods for which a backup label has been set.

[0085] S32, using the matching degree between the backup label setting of the goods and the identification results of the labels of the goods in different scanning processes, determine the goods whose labels were not identified in the scanning process and do not belong to the backup label setting of the goods, and regard them as the screening deviation goods. The "screening deviation goods" refer to goods whose labels were not identified during the scanning process and for which no backup labels have been set, indicating that the existing strategy has failed to cover the label identification problem of these goods.

[0086] Suppose that during a single scan, multiple goods fail to be tagged. Some of these goods have been assigned backup tags, while others have not. The latter are the goods with screening deviations. By determining the matching degree, we can identify the goods with tag recognition problems that are not covered by the backup tag strategy, thus providing a data basis for determining whether the strategy needs to be updated.

[0087] S33, Based on the screening deviation cargo data in different scanning processes, determine whether the backup label update processing strategy needs to be updated.

[0088] It is understandable that, based on the screening deviation data of goods during different scanning processes, it is determined whether the backup label update strategy needs to be updated, specifically including: The proportion of goods with screening deviations during the scanning process is determined based on the proportion of such goods among all goods. If the average percentage of discrepancies in the screening of different scanning processes is above a preset discrepancy percentage threshold, then it is determined that the backup label update strategy needs to be updated.

[0089] The preset deviation cargo ratio threshold refers to the critical value for judging whether the screening deviation cargo is common. When the average value is above the threshold, it indicates that the label recognition problem that the existing strategy fails to cover is relatively common and the strategy needs to be updated. If the average value of the screening deviation cargo ratio in each scanning process is large and exceeds the preset deviation cargo ratio threshold, it indicates that the current backup label setting strategy has insufficient coverage and needs to be updated.

[0090] S4 determines the warehouse management method in different areas based on the updated identification processing method and the degree of matching between the updated setting data of backup tags in different areas and the identification results of the tags of goods in different scanning processes.

[0091] It should be noted that the method for determining the warehouse management method in different areas is as follows: In this embodiment, the degree of matching between the updated setting data of backup tags in different areas and the identification results of the tags of goods in different scanning processes is used to determine the risk of abnormal status of goods tags in different areas during the scanning process. Based on the risk of abnormal status of goods tags in different areas during the scanning process, the warehouse management method in different areas is determined, thereby laying the foundation for improving the efficiency of backup tag setting and processing and ensuring the reliability of monitoring and processing of goods status in the warehouse.

[0092] The warehouse management method in different areas refers to the specific rules for performing backup label setting operations in different areas, including triggering conditions, execution scope, etc.

[0093] If a certain region has a high baseline deviation ratio, it indicates that the risk of abnormal cargo labels in that region is relatively high. Stricter rules for setting backup labels are required. The warehouse management method is determined by the matching degree of each region. The setting conditions for backup labels are determined differently according to the actual situation of abnormal cargo labels in each region, thereby improving the targeting and efficiency of the setting process.

[0094] S41 determines the proportion of goods with screening deviation in different scanning processes by matching the updated setting data of backup labels in different areas with the identification results of goods labels in different scanning processes. The proportion of goods with screening deviations was statistically analyzed for each region during each scanning process to obtain deviation data at the region level.

[0095] S42 uses the average of the proportion of screening deviation goods in the region during different scanning processes to determine the baseline deviation ratio of the region; The baseline deviation ratio refers to the average proportion of discrepancies in the screening of goods in a certain area during each scanning process, reflecting the average level of abnormality in the goods labels in that area.

[0096] If the average proportion of discrepancies in the screening of goods in a certain region during all scanning processes is 0.002, then the baseline deviation proportion for that region is 0.002.

[0097] It is understood that in the above steps, the area where the benchmark deviation ratio is above the preset deviation ratio threshold is taken as the matching deviation area. It is determined whether the number of the matching deviation areas is greater than the preset deviation area number threshold. If so, the warehouse storage management method in different areas is determined to be that in all areas, as long as the cumulative number of scans that the goods have not been identified during the scanning process is greater than the preset missed detection number threshold, the backup label setting process is performed. If not, proceed to step S43. The preset deviation ratio threshold refers to the critical value for determining whether the area belongs to the high-risk deviation area; the matching deviation area refers to the area where the benchmark deviation ratio is above the threshold.

[0098] If the baseline deviation ratio of multiple regions exceeds the preset deviation ratio threshold, and the number of matching deviation regions exceeds the preset deviation region number threshold, it indicates that there is a high risk of label anomalies in multiple regions. In this case, a comprehensive warehouse management method is adopted. When there are many matching deviation regions, a comprehensive and strict warehouse management method is adopted. When high-risk deviation regions are common, a lower trigger threshold is adopted in all regions to ensure that goods with label anomalies can obtain spare labels in a timely manner.

[0099] S43, Based on the benchmark deviation ratio in different regions and the updated identification processing method, determine the warehouse management method in different regions.

[0100] Assuming the number of matching deviation areas does not exceed the preset threshold for the number of deviation areas, the warehouse management method is further determined based on the proportion of matching deviation areas and the updated identification and processing method.

[0101] It is understandable that, based on the baseline deviation ratio in different regions and the updated identification processing method, the warehouse management method in different regions is determined, specifically including: S431, determine whether the proportion of the number of matching deviation areas in all areas is greater than the preset deviation area proportion threshold. If yes, proceed to step S432. If no, determine that the warehouse management method in different areas is that in the matching deviation area, as long as the cumulative number of scans that the goods have not been identified during the scanning process is greater than the second preset missed detection process number threshold (greater than the preset missed detection process number threshold), then the backup label setting process is performed. The preset deviation area proportion threshold refers to the critical value for judging whether the matching deviation area occupies a dominant position in the area. When the proportion is not greater than the threshold, only the matching deviation area is subject to moderately strict setting conditions. Assuming that the proportion of the matching deviation area is not large, indicating that the number of high-risk areas is limited, only the matching deviation area is set with a higher trigger threshold. When the proportion of the matching deviation area is low, the area-restricted warehouse management method is adopted to restrict the strict setting rules to areas where there are indeed high risks, and avoid unnecessary investment in backup labels.

[0102] S432, determine whether the update identification processing method is a dynamic update identification method. If yes, the identification processing efficiency of missed detection is relatively fast. Therefore, the warehouse management method in different areas is determined to be that in the matching deviation area, as long as the cumulative number of scans that the goods have not been identified during the scanning process is greater than the preset missed detection process number threshold, the backup label setting process is performed. If not, the warehouse management method in different areas is determined to be that in all areas, as long as the cumulative number of scans that the goods have not been identified during the scanning process is greater than the preset missed detection process number threshold, the backup label setting process is performed.

[0103] The dynamic update identification method refers to the process of updating and identifying all regions according to a preset time period, and performing additional equally spaced scans when the proportion of unidentified regions is high. When the dynamic method is used, the efficiency of missed detection is faster, so strict setting rules are only used in the matching deviation region. When the dynamic method is not used, strict setting rules are used in all regions.

[0104] If the update identification processing method is a dynamic update identification method, then a backup label is set when the cumulative number of unidentified instances in the matching deviation area exceeds the preset threshold for the number of missed detection processes; if it is not a dynamic method, then this rule is executed in all areas.

[0105] Based on the type of updated identification and processing method, the warehouse management method is further subdivided and optimized in conjunction with the scanning strategy. Under the dynamic strategy, the settings only need to be strengthened in high-risk areas, while under the non-dynamic strategy, the settings need to be strengthened in all areas, thereby achieving linkage optimization between scanning and setting strategies.

[0106] This embodiment realizes a complete process from determining the regional baseline deviation ratio to identifying the matching deviation area and then determining the warehouse management method. It quantifies the label anomaly risk level of each region by the baseline deviation ratio, providing data basis for differentiated warehouse management. By stratifying the number and proportion of matching deviation areas, a comprehensive and strict strategy is adopted when the number is large and a regional restriction strategy is adopted when the number is small. By coordinating with the update identification and processing method, the strict setting range is narrowed under the dynamic scanning strategy and the setting range is expanded under the non-dynamic strategy, thereby realizing adaptive and collaborative optimization of the scanning strategy and the setting strategy.

[0107] Continuing with the calculation results from S3, the dynamic update identification method for the five regions Z1 to Z5 has been determined. During the 10 scans, the proportion of goods with screening deviations in each region in each scan was statistically analyzed, and the baseline deviation proportion for each region was calculated.

[0108] Steps S41 to S42: Calculate the baseline deviation ratio for each region. Taking region Z1 as an example, the number of items with deviations during N scans are: 3, 2, 5, 1, 3, 1, 4, 2, 4, 1, etc. The deviation ratios are: 0.0006, 0.0004, 0.0010, 0.0002, 0.0006, 0.0002, 0.0008, 0.0004, 0.0008, 0.0002, etc. The baseline deviation ratio = the average is approximately 0.0005.

[0109] Similarly, calculate the remaining regions: Z2: Reference deviation ratio = 0.0018; Z3: Reference deviation ratio = 0.0012; Z4: Reference deviation ratio = 0.0022; Z5: Reference deviation ratio = 0.0009.

[0110] The regions with a baseline deviation ratio greater than or equal to the preset deviation ratio threshold of 0.0015 are designated as matching deviation regions: Z2 (0.0018) and Z4 (0.0022), for a total of 2. Is the number of matching deviation regions 2 greater than the preset deviation region number threshold 3? If 2 is not greater than 3, proceed to S43.

[0111] Step S43: Step S431: The percentage of matching deviation areas = 2 / 5 = 0.40. Determine if 0.40 is greater than the preset deviation area percentage threshold of 0.50: If 0.40 is not greater than 0.50, then the warehouse management method is determined as follows: In the matching deviation areas (Z2 and Z4), as long as the cumulative number of scans that the goods have not been identified during the scanning process is greater than the second preset missed detection threshold of 20, that is, when the number of scans that have not been identified since the latest backup label setting time is greater than the second preset missed detection threshold of 20, then the backup label setting process is performed.

[0112] Example 2 Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the aforementioned integrated warehouse management method when running the computer program.

[0113] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0114] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0115] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A comprehensive warehouse management method, characterized in that, Specifically, it includes: Based on the identification results of different goods' labels, determine the degree of consistency between the identification results and the warehousing system, and determine the setting and processing strategy for the spare labels of the goods based on the degree of consistency between the identification results and the warehousing system. The aforementioned setting and processing strategy is used to set up backup labels for different goods. Based on the update setting data of backup labels for goods in different regions, the update identification and processing method of the labels in the region is determined. Based on the aforementioned update identification processing method, different inventory statuses of goods are scanned. When the degree of matching between the update setting data of the spare labels of goods and the identification results of the labels of goods in different scanning processes determines that the update processing strategy of the spare labels needs to be updated, the process proceeds to the next step. Based on the updated identification processing method and the degree of matching between the updated setting data of backup labels in different areas and the identification results of the labels of goods in different scanning processes, the warehouse management method in different areas is determined.

2. The integrated warehouse management method as described in claim 1, characterized in that, The identification result of the cargo's label is determined based on the scanning result of the cargo in the label scanning device.

3. The integrated warehouse management method as described in claim 1, characterized in that, The degree of consistency between the identification results and the warehousing system is determined based on the consistency between the scanning results of the goods and the warehousing system in different scanning processes.

4. The integrated warehouse management method as described in claim 1, characterized in that, The method for determining the strategy for setting up and processing the spare tags for the goods is as follows: Based on the degree of consistency between the identification results and the warehousing system, the amount of deviation between the scanning results of goods and the warehousing system in different scanning processes is determined. The amount of deviation is used to determine the scanning process in which the scanning results of goods and the inventory data of the warehousing system are inconsistent, and this process is taken as the deviation scanning process. The deviation coefficient of the deviation scanning process is determined by using the ratio of the number of deviations to the total number of goods in the warehousing system. Based on the deviation scanning process and the deviation coefficient of different deviation scanning processes, the strategy for setting up and processing the spare labels for the goods is determined.

5. The integrated warehouse management method as described in claim 4, characterized in that, When the proportion of deviation scanning processes during the scanning process is less than the preset threshold for the proportion of deviation processes, the setting and processing strategy for the spare label of the goods is determined to be the basic control strategy.

6. The integrated warehouse management method as described in claim 5, characterized in that, The basic control strategy is to set a backup tag for the goods if the tag is not identified during a series of scans of a preset number of items.

7. The integrated warehouse management method as described in claim 1, characterized in that, The method for determining the label update and identification processing method in the region is as follows: Based on the updated setting data of spare tags for goods in different regions, identify the goods with spare tags and set them as goods with spare tags. Based on the distribution data of the goods with the backup labels, determine the proportion of the goods with backup labels in different areas, and use it as the backup setting ratio; The method for updating and identifying tags in a given area is determined by the proportion of backup settings in different areas.

8. The integrated warehouse management method as described in claim 7, characterized in that, Based on the proportion of goods set by the backup label in all goods, a comprehensive setting ratio is determined. If the comprehensive setting ratio is less than a preset setting ratio threshold, the label update and identification processing method in the area is determined to be a dynamic update and identification method. That is, the update and identification processing of all areas is performed according to a preset time period. When the proportion of unidentified goods in the most recent scanning process is above the preset goods proportion threshold, the scanning process is performed a preset number of times at equal intervals in the future preset time period.

9. The integrated warehouse management method as described in claim 1, characterized in that, The method for determining the warehouse management methods in different regions is as follows: The proportion of goods with screening deviation in different scanning processes is determined by the degree of matching between the updated setting data of backup labels in different areas and the identification results of the labels of goods in different scanning processes. The baseline deviation ratio of the region is determined by using the average ratio of the screening deviation of goods in different scanning processes. Based on the baseline deviation ratio in different regions and the updated identification processing method, the warehouse management method in different regions is determined.

10. A computer system, comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a warehouse integrated management method according to any one of claims 1-9.

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