Unattended automatic material checking management method and system

Abstract

The invention discloses an unattended automatic material checking management method and system, and relates to the technical field of warehouse logistics, and the system comprises a data collection module, an inventory checking module, a real-time analysis module and an exception handling module. The data acquisition module is used for acquiring real-time information of materials; the inventory checking module comprises a judgment unit and a checking unit; the real-time analysis module is used for monitoring the safety condition of the materials in the warehouse in real time; the abnormity processing module is used for processing when the real-time analysis module judges that the warehouse is abnormal, the materials in the warehouse are comprehensively evaluated, a proper inventory mode can be selected according to the characteristics of the materials in the warehouse during inventory, and the inventory of the materials in the warehouse can be checked by dynamically calculating the fault rate and detecting the abnormity. And according to the actual system operation condition and historical data, continuous adjustment is carried out to discover the abnormal condition of the system in real time, and the misjudgment condition of material checking in the use process is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of warehousing and logistics, and more specifically to an unattended automated material inventory management method and system. Background Art

[0002] Material inventory management is mainly used in logistics and warehousing. Its purpose is to track and manage goods in the warehouse and ensure the accuracy of inventory. It mainly includes the material layer: providing hardware deployment, connection, marking and identification functions, including RFID tags, RFID reading devices and 4G DTU devices;

[0003] The patent application with publication number CN109919268A proposes an unattended automated material inventory management system. The topology of the system includes a server and a DTU device, wherein the DTU device is connected to the server through a network and realizes information exchange; the server can be connected to a tablet, a mobile phone, a PC and other terminal devices; the server needs to be protected by a firewall during the connection to the network; the DTU transmits information with the storage place and the transportation tool;

[0004] However, in actual use, due to the large number of materials and the complexity of inventory, the existing inventory methods are all periodic inventory, and it is impossible to conduct inventory based on the actual inventory of materials and when special events occur. Special events are the rapid reduction of materials or the abnormal movement of materials. If real-time inventory cannot be performed when events that affect the materials in the warehouse occur, it will be difficult to obtain warehouse information in the first time after a long time interval, which affects subsequent judgments. Summary of the invention

[0005] In order to solve the above problems, the present invention provides an unattended automated material inventory management method and system.

[0006] On one hand, the present invention proposes an unattended automated material inventory management method, comprising:

[0007] Step 1: Assign a unique ID to each material, record the material's warehousing information, and update it in real time;

[0008] Step 2: Process the outbound request of materials, record the outbound time, quantity and destination, and update in real time;

[0009] Step 3: Set inventory thresholds to monitor the quantity of materials in real time. When the quantity of materials falls below the threshold, an alert will be automatically issued to prompt replenishment.

[0010] Step 4: Provide real-time inventory data analysis and generate inventory reports.

[0011] On the other hand, the present invention also proposes an unattended automated material inventory management system, including: a data collection module, an inventory counting module, a real-time analysis module and an exception handling module;

[0012] The data acquisition module is used to collect real-time information of materials;

[0013] The inventory counting module includes a judgment unit and an inventory counting unit. The judgment unit is used to judge the periodic inventory counting time of materials based on the information of the data acquisition module. The inventory counting unit is used to perform material inventory counting according to the result time of the judgment unit, specifically:

[0014] Set an inventory cycle H in advance:

[0015] Get the inventory value Q of the warehouse in the current time period;

[0016] Get the number of material movements W before the current time period;

[0017] According to the formula E = [(Q*ω1) + (W*ω2)] * R, the inventory value E of the warehouse in the current time period is obtained, where R is the preset dynamic adjustment factor, and ω1 and ω2 are the preset proportional coefficients;

[0018] Set a threshold value of the inventory value of a warehouse in advance. If the inventory value E of the current time period of the warehouse is greater than the threshold value of the inventory value within the inventory cycle H, the inventory is immediately taken. If the inventory value E of the current time period of the warehouse is always less than or equal to the threshold value of the inventory value within the inventory cycle H, the inventory is taken after the inventory cycle H ends.

[0019] The real-time analysis module is used to monitor the safety of materials in the warehouse in real time;

[0020] The exception handling module is used to handle when the real-time analysis module determines that an abnormality occurs in the warehouse.

[0021] Preferably, the dynamic adjustment factor R is obtained as follows:

[0022] Obtain the characteristic value γ1 of the material;

[0023] Obtain the environmental factor value γ2 of the material;

[0024] Obtain the historical factor value γ3 of the material;

[0025] According to the formula R=γ1*γ2*γ3, the dynamic adjustment factor R is obtained.

[0026] Preferably, the specific working mode of the inventory counting unit is as follows:

[0027] According to the formula Calculate and obtain the comprehensive score G of the materials in the warehouse; where n is the number of influencing factors, ∈ i represents the i-th influencing factor, θ i represents the weight of the i-th influencing factor;

[0028] Set a threshold range for the comprehensive score G in advance, and compare the comprehensive score G with the threshold range of the comprehensive score G. If the comprehensive score G is higher than the threshold range, choose a full inventory; if the comprehensive score G is within the threshold range, choose a sample inventory; if the comprehensive score is lower than the threshold range, choose not to take an inventory.

[0029] Preferably, the real-time analysis module includes a material analysis unit and a self-check analysis unit. The material analysis unit is used to analyze the materials in the warehouse during inventory to determine whether there are any abnormalities, specifically:

[0030] The real-time observation value F of the materials in the warehouse during the inventory is obtained;

[0031] According to the formula Get the real-time monitoring value Z of the materials during the inventory process; where μ is the average value of the materials in the warehouse, and σ is the standard deviation of the materials in the warehouse;

[0032] A threshold of a real-time monitoring value is set in advance to determine whether |Z| is greater than the threshold of the real-time monitoring value. If so, it is determined that an abnormality occurs in the inventory, an alarm is triggered, and the alarm is transmitted to the abnormality handling module. If not, the inventory is performed normally.

[0033] Preferably, the self-checking and analyzing unit is used to monitor whether there is an abnormality in the actual monitoring management system, specifically:

[0034] Obtain the average time interval V1 between the two previous failures in the current time period of the management system;

[0035] According to the formula Obtain the failure rate of the management system;

[0036] Obtain the fault threshold V2 of the management system;

[0037] According to the formula Calculate and obtain the real-time failure rate B of the management system, where μ C is the average value of the failure rate, σ C is the standard deviation of the failure rate, τ is the number of failures used to calculate the failure rate and standard deviation;

[0038] Determine whether the real-time failure rate B is greater than the failure threshold V2. If so, determine that the system has a failure, trigger an alarm, and transmit it to the exception handling module. If not, run normally.

[0039] Preferably, the fault threshold V2 of the management system is obtained as follows:

[0040] According to the formula V2 = μ C +σ C *V3, obtain the fault threshold V2 of the management system, where V3 is a preset proportional coefficient.

[0041] Preferably, the exception handling module is used to perform corresponding exception handling when the material analysis unit determines that an abnormality occurs in the inventory and when the material analysis unit determines that an abnormality occurs in the inventory, specifically:

[0042] With the material location as the center, draw a circle with a preset radius to obtain the maintenance range, and mark the staff within the maintenance range as maintenance personnel;

[0043] Record the material information when anomalies occur;

[0044] Transmit material information to the maintenance personnel's mobile terminal.

[0045] Preferably, the exception handling module further includes a calibration unit, and the calibration unit is used to calibrate the judgment data after the exception handling module obtains the judgment data to confirm whether the judgment result is correct, specifically:

[0046] The real-time fault rate and real-time monitoring value that are judged to be abnormal are uniformly marked as fault information;

[0047] According to the formula The calibration value Z1 is obtained, where μ1 is the historical average value of the fault information, and μ2 is the historical standard deviation of the fault information;

[0048] A threshold range of the calibration value is set in advance to determine whether Z1 is greater than the threshold range. If so, the data is judged to be abnormal and feedback is given. If not, it means that the judgment result is normal and the abnormality is handled.

[0049] Preferably, if the judgment data of the calibration unit is abnormal, the specific way of providing feedback is as follows:

[0050] Obtaining the existence duration of the fault information, setting a time interval in advance, and determining whether the existence duration is greater than the time interval, and if so, determining that the data received by the calibration unit is accurate;

[0051] If not, then obtain the real-time failure rate and real-time monitoring value collected after a time interval after the failure information appears, and obtain the corresponding difference between the real-time failure rate and real-time monitoring value collected when the failure information appears and the real-time failure rate and real-time monitoring value collected after a time interval;

[0052] A threshold of the difference is set in advance. If the difference is greater than the threshold, it is determined that the data received by the calibration unit is inaccurate. If the difference is less than the threshold, it is determined that the data received by the calibration unit is accurate.

[0053] Beneficial effects: Through comprehensive evaluation of the materials in the warehouse, the appropriate inventory method can be selected according to the characteristics of the materials in the warehouse during inventory. If a full inventory method is used every time, it will greatly waste manpower and material resources. By dynamically calculating the failure rate and anomaly detection, and constantly adjusting according to the actual system operation status and historical data, the system's abnormal conditions can be discovered in real time, reducing the misjudgment of material inventory during use. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 The present invention is a flow chart of the method.

[0055] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0056] like Figure 1 As shown, the present invention proposes an unattended automated material inventory management method, comprising:

[0057] It should be noted that material inventory management is mainly used in logistics and warehousing. The purpose is to track and manage the goods in the warehouse to ensure the accuracy of the inventory. It mainly includes the material layer: providing hardware deployment, connection, marking and identification functions, including RFID tags, RFID reading devices and 4G DTU devices;

[0058] Driver layer: encapsulates hardware drivers and provides a unified hardware calling interface to complete hardware compatibility functions, including 4G device driver interface and RFID device driver interface;

[0059] Service layer: encapsulates specific businesses and provides a unified calling interface API, including basic material information, label information, inventory data and statistical management;

[0060] Application layer: accessed through a variety of terminals, including the Web, tablet computers, mobile apps, and other devices;

[0061] Material management function: including the management of basic information of materials, such as name, storage location and attributes, and realizing the operation of adding, deleting, modifying and checking materials;

[0062] Tag management function: including the management of basic tag information, realizing tag addition, deletion, modification and query operations, and setting aliases for each tag for easy identification and memory;

[0063] Step 1: Assign a unique identifier to each material, record the material's warehousing information, and update it in real time; it should be noted that the unique identifier is an RFID tag, and the warehousing information includes time, quantity and source;

[0064] Step 2: Process the outbound request of materials, record the outbound time, quantity and destination, and update in real time;

[0065] Step 3: Set inventory thresholds to monitor the quantity of materials in real time. When the quantity of materials falls below the threshold, an alert will be automatically issued to prompt replenishment.

[0066] Step 4: Provide real-time inventory data analysis and generate inventory reports.

[0067] like Figure 2 As shown, the present invention also proposes an unattended automated material inventory management system, including: a data collection module, an inventory counting module, a real-time analysis module and an exception handling module;

[0068] It should be noted that due to the excessive number and variety of materials in stock, it is generally adopted to assign unique RFID tags to different types of materials, and then obtain the flow information of materials by recording the information of RFID tags, so as to meet the inventory needs of materials in an unmanned state;

[0069] However, in actual use, due to the large number of materials and the complexity of inventory, the existing inventory methods are all periodic inventory, and it is impossible to conduct inventory based on the actual inventory of materials and when special events occur. Special events are the rapid reduction of materials or the abnormal movement of materials. If real-time inventory cannot be performed when events that affect the materials in the warehouse occur, it will be difficult to obtain warehouse information in the first time after a long time interval, which affects subsequent judgments.

[0070] The data collection module is used to collect real-time information of materials; it should be noted that, in this embodiment, the real-time information includes the location information, time, quantity and source of the materials, which is obtained by recording on the RFID tags of the material distribution;

[0071] The inventory counting module includes a judgment unit and an inventory counting unit. The judgment unit is used to judge the periodic inventory counting time of materials based on the information of the data acquisition module. The inventory counting unit is used to perform material inventory counting according to the result time of the judgment unit, specifically:

[0072] Set an inventory cycle H in advance: It should be noted that, in this embodiment, the inventory cycle is in days, and the value of the inventory cycle H in this embodiment is 30;

[0073] Get the inventory value Q of the warehouse in the current time period; it should be noted that the inventory value Q is obtained by calculating the ratio of the actual inventory to the preset total inventory of the warehouse, which can measure the inventory level of the warehouse;

[0074] The number of material movements W before the current time period is obtained; it should be noted that the number of material movements W is obtained through the data acquisition module, which can measure the number of material movements in the warehouse;

[0075] According to the formula E=[(Q*ω1)+(W*ω2)]*R, the inventory value E of the warehouse in the current time period is obtained, where R is the preset dynamic adjustment factor, and ω1 and ω2 are preset proportional coefficients; it should be noted that in this embodiment, the values ​​of ω1 and ω2 can be 0.429 and 0.511;

[0076] It should also be noted that, during use, by triggering inventory counts based on a combination of inventory levels and the number of material movements, targeted inventory counts can be conducted when unexpected events occur in the warehouse, rather than being limited to fixed-term judgments;

[0077] A threshold value of the inventory value of a warehouse is set in advance. If the inventory value E of the current time period of the warehouse is greater than the threshold value of the inventory value within the inventory cycle H, the inventory is taken immediately. If the inventory value E of the current time period of the warehouse is always less than or equal to the threshold value of the inventory value within the inventory cycle H, the inventory is taken after the end of the inventory cycle H. It should be noted that the technical solution flexibly adjusts the inventory cycle H by comprehensively considering special events and environmental conditions that occur within the inventory cycle, which is more in line with actual usage than the traditional fixed inventory cycle method.

[0078] The real-time analysis module is used to monitor the safety of materials in the warehouse in real time. It should be noted that the technical solution can detect potential dangers of materials in the warehouse in the first time without human supervision by monitoring the material situation in the warehouse in real time, thereby reducing possible economic losses.

[0079] The exception handling module is used to handle the abnormality in the warehouse when the real-time analysis module determines that the warehouse is abnormal. It should be noted that by handling the abnormal situation in the warehouse in the shortest time, the threat caused by the abnormality can be avoided from expanding and the abnormality can be resolved as soon as possible.

[0080] As an optional embodiment: the dynamic adjustment factor R is obtained as follows:

[0081] The characteristic value γ1 of the material is obtained; it should be noted that, in this embodiment, the value of the characteristic value γ1 of the material is obtained by combining the value score of the material and the vulnerability score of the material. In this embodiment, the value score of the material and the vulnerability score of the material are obtained through staff evaluation, which is any integer from 1 to 10. The calculation method of the characteristic value γ1 of the material is:

[0082] The environmental factor value γ2 of the material is obtained; it should be noted that, in this embodiment, the value of the environmental factor value γ2 of the material is obtained by combining the weather condition score and the adaptability score of temperature and humidity. In this embodiment, the weather condition score and the adaptability score of temperature and humidity are obtained through staff evaluation and are any integers from 1 to 10. The calculation method of the environmental factor value γ2 of the material is:

[0083] The historical factor value γ3 of the material is obtained; it should be noted that, in this embodiment, the value of the historical factor value γ3 of the material is obtained by combining the historical inventory accuracy score and the historical inventory frequency score. In this embodiment, the historical inventory accuracy score and the historical inventory frequency score are obtained through staff evaluation and are any integers from 1 to 10. The calculation method of the historical factor value γ3 of the material is:

[0084] According to the formula R=γ1*γ2*γ3, the dynamic adjustment factor R is obtained. It should be noted that by comprehensively calculating the dynamic adjustment factor R based on the above factors, the comprehensive influence of material characteristics, environmental conditions and historical data can be reflected, so that it is more in line with the actual usage when judging whether an inventory is needed.

[0085] As an optional embodiment: the specific working mode of the inventory counting unit is as follows:

[0086] According to the formula Calculate and obtain the comprehensive score G of the materials in the warehouse; where n is the number of influencing factors, ∈ i represents the i-th influencing factor, θ i represents the weight of the i-th influencing factor; it should be noted that, in this embodiment, the influencing factor ∈ i The scores are material value score, turnover rate score, vulnerability score, storage condition score, inventory cost score and risk assessment score. The above scores are obtained through staff evaluation when entering the warehouse. They are all integers from 1 to 10. After evaluation, they are marked on the RFID tag. In this embodiment, θ i The value of corresponds to the influencing factor ∈ i They are 0.098, 0.103, 0.295, 0.201, 0.196 and 0.107 respectively;

[0087] In this embodiment, the material value score is obtained by comprehensively superimposing the value of the materials in the warehouse. The turnover rate score is obtained by determining whether the materials in the warehouse need to be quickly turned over. Materials with fast turnover require more frequent inventory checks and have higher scores. The vulnerability score: materials that are easily damaged require more detailed inventory checks and have higher scores. The storage condition score: materials that are sensitive to storage conditions have higher scores. The inventory cost score: materials with lower inventory costs can be counted more frequently and have lower scores. The risk assessment score: materials with high risks should be counted more frequently and have higher scores.

[0088] A threshold range of the comprehensive score G is set in advance, and the comprehensive score G is compared with the threshold range of the comprehensive score G. If the comprehensive score G is higher than the threshold range, a comprehensive inventory is selected. If the comprehensive score G is within the threshold range, a sampling inventory is selected. If the comprehensive score G is lower than the threshold range, no inventory is selected. It should also be noted that by comprehensively evaluating the materials in the warehouse, an appropriate inventory method can be selected according to the characteristics of the materials in the warehouse during the inventory. If a comprehensive inventory method is used every time, it will greatly waste manpower and material resources.

[0089] As an optional embodiment: the real-time analysis module includes a material analysis unit and a self-check analysis unit, and the material analysis unit is used to analyze the materials in the warehouse during inventory to determine whether there are any abnormalities, specifically:

[0090] The real-time observation value F of the materials in the warehouse during the inventory is obtained;

[0091] According to the formula The real-time monitoring value Z of the materials in the inventory process is obtained; where μ is the average value of the materials in the warehouse, and σ is the standard deviation of the materials in the warehouse; it should be noted that in the inventory process, by comparing the actual data and historical data of the comprehensive material inventory, the potential threats in the inventory process can be monitored in real time during the inventory process, and help to make timely treatment in the future;

[0092] A threshold of a real-time monitoring value is set in advance to determine whether |Z| is greater than the threshold of the real-time monitoring value. If so, it is determined that an abnormality occurs in the inventory, an alarm is triggered, and the alarm is transmitted to the abnormality handling module. If not, the inventory is performed normally.

[0093] As an optional embodiment: the self-checking and analyzing unit is used to monitor whether there is an abnormality in the actual monitoring management system, specifically:

[0094] Obtain the average time interval V1 between the two previous failures in the current time period of the management system;

[0095] According to the formula Obtain the failure rate of the management system;

[0096] Obtain the fault threshold V2 of the management system;

[0097] According to the formula Calculate and obtain the real-time failure rate B of the management system, where μ C is the average value of the failure rate, σ C is the standard deviation of the failure rate, τ is the number of failures used to calculate the failure rate and standard deviation;

[0098] It is determined whether the real-time failure rate B is greater than the failure threshold V2. If so, it is determined that the system fails, an alarm is triggered, and the alarm is transmitted to the abnormality processing module. If not, it runs normally. It should be noted that by dynamically calculating the failure rate calculation and abnormality detection, it is continuously adjusted according to the actual system operation and historical data to detect the abnormality of the system in real time, thereby reducing the misjudgment of the inventory of materials during use.

[0099] As an optional embodiment: the fault threshold V2 of the management system is obtained as follows:

[0100] According to the formula V2 = μ C +σ C * V3, obtain the fault threshold V2 of the management system, where V3 is a preset proportional coefficient. It should be noted that in this embodiment, the value of V3 is 2.

[0101] As an optional embodiment: the exception handling module is used to perform corresponding exception handling when the material analysis unit determines that an abnormality occurs in the inventory and when the material analysis unit determines that an abnormality occurs in the inventory, specifically:

[0102] With the material location as the center, draw a circle with a preset radius to obtain the maintenance range, and mark the staff within the maintenance range as maintenance personnel;

[0103] Record the material information when the abnormality occurs; it should be noted that in this embodiment, the material information includes the quantity information, location information and storage information of the material;

[0104] The material information is transmitted to the mobile terminal of the maintenance personnel. It should also be noted that by transmitting the material information to the maintenance personnel when an abnormality occurs and prompting the maintenance personnel to perform maintenance in the first time, the losses can be minimized.

[0105] As an optional embodiment: the exception handling module further includes a calibration unit, and the calibration unit is used to calibrate the judgment data after the exception handling module obtains the judgment data to confirm whether the judgment result is correct, specifically:

[0106] The real-time fault rate and real-time monitoring value that are judged to be abnormal are uniformly marked as fault information;

[0107] According to the formula The calibration value Z1 is obtained, where μ1 is the historical average value of the fault information, and μ2 is the historical standard deviation of the fault information;

[0108] A threshold range of a calibration value is set in advance to determine whether Z1 is greater than the threshold range. If so, the data is judged to be abnormal and feedback is given. If not, it means that the judgment result is normal and the abnormality is handled. It should be noted that in this embodiment, the threshold range is ±8. It should also be noted that, because in actual use, misjudgment of faults may occur, preliminary calibration is performed after the system or material abnormality is obtained, which can avoid the occurrence of misjudgment results and avoid wasting maintenance manpower and material resources.

[0109] As an optional embodiment: if the judgment data of the calibration unit is abnormal, the specific way of providing feedback is as follows:

[0110] Obtaining the existence duration of the fault information, setting a time interval in advance, and determining whether the existence duration is greater than the time interval, and if so, determining that the data received by the calibration unit is accurate;

[0111] If not, then obtain the real-time failure rate and real-time monitoring value collected after a time interval after the failure information appears, and obtain the corresponding difference between the real-time failure rate and real-time monitoring value collected when the failure information appears and the real-time failure rate and real-time monitoring value collected after a time interval;

[0112] A threshold of the difference is set in advance. If the difference is greater than the threshold, the data received by the calibration unit is judged to be inaccurate. If the difference is less than the threshold, the data received by the calibration unit is judged to be accurate. It should be noted that when the calibration unit judges that the data is abnormal, feedback is provided to determine whether the data obtained is abnormal data due to the environment or special circumstances, and whether it can truly represent the actual situation of the system and materials.

[0113] How it works

[0114] By comprehensively evaluating the materials in the warehouse, it is possible to select a suitable inventory method based on the characteristics of the materials in the warehouse during inventory. If a full inventory method is used every time, it will greatly waste manpower and material resources. By dynamically calculating the failure rate and anomaly detection, and constantly adjusting according to the actual system operation status and historical data, the system's anomalies can be discovered in real time, reducing misjudgments of material inventory during use.

[0115] The above are only preferred implementations of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technical staff in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of this template.

Claims

1. An unattended automated material inventory management method, characterized in that: include: Step 1: Assign a unique ID to each material, record the material's warehousing information, and update it in real time; Step 2: Process the outbound request of materials, record the outbound time, quantity and destination, and update in real time; Step 3: Set inventory thresholds to monitor the quantity of materials in real time. When the quantity of materials falls below the threshold, an alert will be automatically issued to prompt replenishment. Step 4: Provide real-time inventory data analysis and generate inventory reports.

2. An unattended automated material inventory management system, characterized in that: include: Data collection module, inventory counting module, real-time analysis module and exception handling module; The data acquisition module is used to collect real-time information of materials; The inventory counting module includes a judgment unit and an inventory counting unit. The judgment unit is used to judge the periodic inventory counting time of materials based on the information of the data acquisition module. The inventory counting unit is used to perform material inventory counting according to the result time of the judgment unit, specifically: Set an inventory cycle H in advance: Get the inventory value Q of the warehouse in the current time period; Get the number of material movements W before the current time period; According to the formula E = [(Q*ω1) + (W*ω2)] * R, the inventory value E of the warehouse in the current time period is obtained, where R is the preset dynamic adjustment factor, and ω1 and ω2 are the preset proportional coefficients; Set a threshold value of the inventory value of a warehouse in advance. If the inventory value E of the current time period of the warehouse is greater than the threshold value of the inventory value within the inventory cycle H, the inventory is immediately taken. If the inventory value E of the current time period of the warehouse is always less than or equal to the threshold value of the inventory value within the inventory cycle H, the inventory is taken after the inventory cycle H ends. The real-time analysis module is used to monitor the safety of materials in the warehouse in real time; The exception handling module is used to handle when the real-time analysis module determines that an abnormality occurs in the warehouse.

3. The unattended automated material inventory management system according to claim 1 is characterized in that: The dynamic adjustment factor R is obtained as follows: Obtain the characteristic value γ1 of the material; Obtain the environmental factor value γ2 of the material; Obtain the historical factor value γ3 of the material; According to the formula R=γ1*γ2*γ3, the dynamic adjustment factor R is obtained.

4. The unattended automated material inventory management method and system according to claim 1, characterized in that: The specific working method of the inventory counting unit is as follows: According to the formula Calculate and obtain the comprehensive score G of the materials in the warehouse; where n is the number of influencing factors, ∈ i represents the i-th influencing factor, θ i represents the weight of the i-th influencing factor; Set a threshold range for the comprehensive score G in advance, and compare the comprehensive score G with the threshold range of the comprehensive score G. If the comprehensive score G is higher than the threshold range, choose a full inventory; if the comprehensive score G is within the threshold range, choose a sample inventory; if the comprehensive score is lower than the threshold range, choose not to take an inventory.

5. The unattended automated material inventory management system according to claim 1, characterized in that: The real-time analysis module includes a material analysis unit and a self-check analysis unit. The material analysis unit is used to analyze the materials in the warehouse during inventory to determine whether there are any abnormalities, specifically: The real-time observation value F of the materials in the warehouse during the inventory is obtained; According to the formula Get the real-time monitoring value Z of the materials during the inventory process; where μ is the average value of the materials in the warehouse, and σ is the standard deviation of the materials in the warehouse; A threshold of a real-time monitoring value is set in advance to determine whether |Z| is greater than the threshold of the real-time monitoring value. If so, it is determined that an abnormality occurs in the inventory, an alarm is triggered, and the alarm is transmitted to the abnormality handling module. If not, the inventory is performed normally.

6. The unattended automated material inventory management system according to claim 5, characterized in that: The self-checking and analyzing unit is used to monitor whether there is an abnormality in the actual monitoring management system, specifically: Obtain the average time interval V1 between the two previous failures in the current time period of the management system; According to the formula Obtain the failure rate of the management system; Obtain the fault threshold V2 of the management system; According to the formula The real-time failure rate B of the management system is obtained by calculation, where μC is the average value of the failure rate, σ C is the standard deviation of the failure rate, T is the number of failures used to calculate the failure rate and standard deviation; Determine whether the real-time failure rate B is greater than the failure threshold V2. If so, determine that the system has a failure, trigger an alarm, and transmit it to the exception handling module. If not, run normally.

7. The unattended automated material inventory management system according to claim 6, characterized in that: The fault threshold V2 of the management system is obtained as follows: According to the formula V2 = μ C +σ C *V3, obtain the fault threshold V2 of the management system, where V3 is a preset proportional coefficient.

8. The unattended automated material inventory management system according to claim 1, characterized in that: The exception handling module is used to perform corresponding exception handling when the material analysis unit determines that an abnormality occurs in the inventory and when the material analysis unit determines that an abnormality occurs in the inventory, specifically: With the material location as the center, draw a circle with a preset radius to obtain the maintenance range, and mark the staff within the maintenance range as maintenance personnel; Record the material information when anomalies occur; Transmit material information to the maintenance personnel's mobile terminal.

9. The unattended automated material inventory management system according to claim 8, characterized in that: The exception handling module further includes a calibration unit, which is used to calibrate the judgment data after the exception handling module obtains the judgment data to confirm whether the judgment result is correct, specifically: The real-time fault rate and real-time monitoring value that are judged to be abnormal are uniformly marked as fault information; According to the formula The calibration value Z1 is obtained, where μ1 is the historical average value of the fault information, and μ2 is the historical standard deviation of the fault information; A threshold range of the calibration value is set in advance to determine whether Z1 is greater than the threshold range. If so, the data is judged to be abnormal and feedback is given. If not, it means that the judgment result is normal and the abnormality is handled.

10. The unattended automated material inventory management system according to claim 9, characterized in that: The calibration unit determines that the data is abnormal, and the specific way of providing feedback is as follows: Obtaining the existence duration of the fault information, setting a time interval in advance, and determining whether the existence duration is greater than the time interval, and if so, determining that the data received by the calibration unit is accurate; If not, then obtain the real-time failure rate and real-time monitoring value collected after a time interval after the failure information appears, and obtain the corresponding difference between the real-time failure rate and real-time monitoring value collected when the failure information appears and the real-time failure rate and real-time monitoring value collected after a time interval; A threshold of the difference is set in advance. If the difference is greater than the threshold, it is determined that the data received by the calibration unit is inaccurate. If the difference is less than the threshold, it is determined that the data received by the calibration unit is accurate.

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