RFID tag checking method and device for electronic intelligent access cabinet

Abstract

The invention discloses an RFID tag checking method and device for an electronic intelligent access cabinet, and relates to the technical field of RFID tag information processing. The RFID tag checking method for the electronic intelligent access cabinet comprises the following steps: acquiring a verification abnormity index; qualified RFID tag information is obtained; obtaining an inventory state index; obtaining qualified inventory information; and obtaining a comprehensive state evaluation index. According to the invention, the verification abnormity index is obtained and whether the unqualified RFID tag information exists is determined, then the article inventory data and the inventory state index are obtained according to the qualified RFID tag information and whether the unqualified inventory information exists is determined, then the comprehensive state evaluation index is obtained, and finally the performance adjustment is carried out according to the comprehensive state evaluation index. The effect of improving the RFID checking recognition rate in the electronic intelligent access cabinet is achieved, and the problem that in the prior art, the RFID checking recognition rate in the electronic intelligent access cabinet is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of RFID tag information processing, and in particular to an RFID tag inventory method and device for electronic intelligent storage and retrieval cabinets. Background Art

[0002] RFID (Radio Frequency Identification) technology is a technology that uses radio signals to identify specific targets and read and write related data. It uses radio frequency signals and their spatial coupling and transmission characteristics to realize automatic identification of stationary or moving objects. RFID technology has the characteristics of non-contact, fast, accurate, and efficient, and is widely used in logistics, warehousing, retail, medical and other fields. Electronic smart storage cabinets are storage devices that integrate electronic information technology and automation technology. They are widely used in libraries, archives, supermarkets, hospitals, enterprises and other places. It can realize the functions of automatic storage, inventory, and monitoring of items, and improve the efficiency and safety of item management. In electronic smart storage cabinets, each item will be affixed with an RFID tag. These tags contain the unique identification information of the item, such as number, name, specification, storage location, etc. Through the RFID reader, these tag information can be quickly read and identified to achieve rapid positioning and search of items.

[0003] The existing method is to install an RFID reader at a suitable position of the electronic intelligent storage and access cabinet. When it is necessary to take inventory of the items in the cabinet, the RFID reader will send out a radio frequency signal to activate and read the information of all RFID tags in the cabinet.

[0004] For example, the invention patent with announcement number: CN110033062B announces an automatic retrieval cabinet and an intelligent storage system, including: the automatic retrieval cabinet includes a cabinet body, a plurality of drawer slots are provided on the cabinet body, storage drawers are provided in the drawer slots, a retrieval device is provided on the outside of the cabinet body, the retrieval device can be displaced up and down, left and right relative to the cabinet body, the storage drawer can slide relative to the drawer slot and has a first position located in the drawer slot and a second position located on the retrieval device and can be displaced up and down, left and right relative to the cabinet body.

[0005] For example, the invention patent with announcement number: CN112215318B announces an offline storage and retrieval method and device for a smart cabinet, including: in response to a storage instruction of the smart cabinet, sending a storage request to the smart cabinet through an established short-distance communication connection, so that the smart cabinet allocates an available cabinet; receiving the cabinet identification of the available cabinet; generating a retrieval code according to the cabinet identification and the storage timestamp; the retrieval code is used for the legitimacy verification during offline retrieval, specifically including: based on the retrieval timestamp, determining at least one reference timestamp according to different accuracy range standards; encrypting at least one reference timestamp using the encryption key corresponding to the smart cabinet to obtain at least one first encrypted code data; if there is a first encrypted code data consistent with the second encrypted code data in the at least one first encrypted code data, it is determined that the retrieval code is legal, wherein the second encrypted code data is obtained by encryption processing based on the storage timestamp using the encryption key.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, since the RFID inventory counting method of the electronic smart lockers is highly dependent on the stability and reliability of RFID technology, a high recognition rate means that the locker system can complete the inventory and identification of items more quickly and accurately. In actual situations, the recognition rate of RFID tags may be affected inside metal cabinets or in the presence of electromagnetic interference. The recognition rate of RFID tags may decrease, resulting in the problem of low RFID inventory recognition rate in electronic smart lockers. Summary of the invention

[0008] The embodiments of the present application provide an RFID tag inventory method and device for an electronic smart locker, thereby solving the problem of low RFID inventory recognition rate in the electronic smart locker in the prior art and improving the RFID inventory recognition rate in the electronic smart locker.

[0009] The embodiment of the present application provides an RFID tag inventory method for an electronic intelligent storage cabinet, comprising the following steps: S1, obtaining RFID tag initial information and combining with reference RFID tag information obtained from a preset database to obtain a verification anomaly index, judging whether to obtain unqualified RFID tag information based on the verification anomaly index and a preset verification index threshold, wherein the RFID tag initial information includes item location information and item feature information, and the verification anomaly index is used to evaluate the abnormality of the tag information; S2, after obtaining unqualified RFID tag information, performing tag adjustment on the obtained unqualified RFID tag information to obtain qualified RFID tag information; S3, obtaining item inventory data according to qualified RFID tag information, obtaining an inventory status index according to the item inventory data and preset inventory data, judging whether to obtain unqualified inventory information based on the inventory status index and a preset inventory index range, and the inventory status index is used to evaluate the inventory status of the item; S4, if unqualified inventory information is obtained, adjusting the status of the obtained unqualified inventory information to obtain qualified inventory information; S5, obtaining a comprehensive status evaluation index according to qualified inventory information, qualified RFID tag information and preset reference status information, and performing performance adjustment according to the obtained comprehensive status evaluation index, and the comprehensive status evaluation index is used to evaluate the overall performance of RFID tag inventory.

[0010] Furthermore, the specific acquisition process of the verification abnormality index is as follows: at the first preset time point within the preset time period, the abnormal monitoring related data of the electronic intelligent storage cabinet in the preset monitoring area is obtained through the abnormal monitoring equipment, the abnormal monitoring equipment includes a power meter, a signal generator, a dielectric loss tester, a spectrum analyzer and a wavelength meter, and the abnormal monitoring related data includes standard transmission power, standard path loss, standard transmission gain, standard receiving gain and standard wavelength; the preset receiving power threshold and the preset reading distance threshold are obtained from the preset database, and the received signal power deviation and the reading distance deviation are obtained in combination with the abnormal monitoring related data; the preset first verification abnormality weight and the preset second verification abnormality weight are obtained from the preset database, and the verification abnormality index is obtained in combination with the received signal power deviation, the reading distance deviation, the preset receiving power threshold and the preset reading distance threshold.

[0011] Furthermore, the verification anomaly index is calculated using the following formula:

[0012]

[0013] ΔA 0t =P t -F-A0;

[0014]

[0015] In the formula, represents the verification abnormality index of the electronic intelligent access cabinet at the tth first preset time point, t=1,2,...,n, t represents the number of the first preset time point, n represents the total number of the first preset time points, ΔA 0t represents the received signal power deviation at the tth first preset time point, ΔA 1t represents the reading distance deviation at the first preset time point t, P t represents the standard transmission power at the first preset time point t, F represents the standard path loss, G 1t represents the standard transmission gain at the first preset time point t, G 2t represents the standard receiving gain at the tth first preset time point, τ t represents the standard wavelength at the tth first preset time point, A0 represents the preset receiving power threshold, A1 represents the preset reading distance threshold, α1 represents the preset first verification abnormality weight, α2 represents the preset second verification abnormality weight, and e represents a natural constant.

[0016] Furthermore, the specific process of the label adjustment is as follows: A1, comparing the verification anomaly index with the preset verification index threshold, when the verification anomaly index is not less than the preset verification index threshold, obtaining unqualified RFID label information; A2, performing missing processing on the unqualified RFID label information, and the missing processing is used to fill the missing inventory number and label number; A3, performing repeated processing on the unqualified RFID label information, and the repeated processing is used to delete the same label information; A4, performing error checking processing on the unqualified RFID label information, and monitoring the verification anomaly index until the verification anomaly index is less than the preset verification index threshold, otherwise re-adjusting the label until the verification anomaly index is less than the preset verification index threshold.

[0017] Furthermore, the specific acquisition process of the inventory status index is as follows: obtaining inventory status related data of the electronic intelligent lockers in a preset monitoring area through an inventory measuring device within a preset time period, the inventory measuring device includes a three-dimensional scanner, an optical sensor and a laser rangefinder, and the inventory status related data includes standard item volume, standard locker volume and standard weight; obtaining a preset space utilization threshold and a preset density threshold from a preset database, and obtaining a space utilization deviation and a density deviation in combination with the inventory status related data; obtaining a preset first state weight and a preset second state weight from a preset database, and obtaining an inventory status index in combination with the space utilization deviation and the density deviation.

[0018] Furthermore, the inventory status index is calculated using the following formula:

[0019]

[0020]

[0021]

[0022] In the formula, represents the inventory status index of the i-th electronic intelligent storage cabinet, i=1,2,...,m, i represents the number of the electronic intelligent storage cabinet, m represents the total number of electronic intelligent storage cabinets, ΔB 0i represents the space utilization deviation of the i-th electronic intelligent storage cabinet, ΔB1 ​​represents the density deviation of the i-th electronic intelligent storage cabinet, V 0i represents the standard volume of items in the i-th electronic intelligent storage cabinet, V 1i represents the standard storage cabinet volume of the i-th electronic intelligent storage cabinet, W i represents the standard weight of items in the i-th electronic intelligent storage cabinet, B0 represents the preset space utilization threshold, B1 represents the preset density threshold, θ1 represents the preset first state weight, and θ2 represents the preset second state weight.

[0023] Furthermore, the specific process of the status adjustment is as follows: B1, performing position change processing according to the unqualified inventory information, and monitoring the inventory status index at the same time, when the inventory status index is within the preset inventory index range, stop executing, otherwise execute B2, the position change processing means replacing the items placed incorrectly in the electronic smart locker; B2, performing excess item processing according to the unqualified inventory information, and monitoring the inventory status index at the same time, when the inventory status index is within the preset inventory index range, stop executing, otherwise re-execute B1, the excess item processing means clearing the items placed in the electronic smart locker for more than the preset time.

[0024] Furthermore, the specific acquisition process of the comprehensive status evaluation index is as follows: obtaining comprehensive status related data of the electronic intelligent storage cabinet in the preset monitoring area through the comprehensive status measurement device within the preset time period, the comprehensive status measurement device includes an RFID reader and an RFID scanner, and the comprehensive status related data includes a standard inventory number, a standard total inventory number, a first identification number, a second identification number and a third identification number; obtaining a preset inventory accuracy threshold and a preset tag recognition rate threshold from a preset database, and obtaining an inventory accuracy deviation and a tag recognition rate deviation in combination with the comprehensive status related data; obtaining a preset first status evaluation weight and a preset second status evaluation weight from a preset database, and obtaining a comprehensive status evaluation index in combination with the inventory accuracy deviation and the tag recognition rate deviation; the comprehensive status evaluation index is calculated using the following formula:

[0025]

[0026]

[0027]

[0028] In the formula, represents the comprehensive status evaluation index of the pth preset time period, p=1,2,...,f, p represents the number of the preset time period, f represents the total number of preset time periods, ΔC p Indicates the inventory accuracy deviation in the pth preset time period, ΔD p represents the tag recognition rate deviation in the pth preset time period, N 1p Indicates the standard inventory quantity for the pth preset time period, N 0p represents the standard total inventory in the pth preset time period, M 1p represents the first identification number of the pth preset time period, M 2p represents the second identification number of the pth preset time period, M 3p represents the third recognition number of the pth preset time period, C0 represents the preset inventory accuracy threshold, D0 represents the preset tag recognition rate threshold, ρ1 represents the preset first state evaluation weight, ρ2 represents the preset second state evaluation weight, and e represents a natural constant.

[0029] Furthermore, the specific process of the performance adjustment is as follows: C1, a signal test is performed on the signal outside the electronic intelligent storage cabinet area through a preset signal testing device to obtain a layout area, and the layout area represents the signal area interfered by the interference source; C2, the RFID tags are re-layouted in the layout area, and the re-layout is used to provide feedback to the preset personnel to adjust the placement of the RFID tags to avoid interference; C3, a comprehensive status evaluation index is obtained after a signal test is performed on the re-layouted RFID tags, and the comprehensive status evaluation index is compared to determine whether the comprehensive status evaluation index is within the preset comprehensive evaluation index range, and when the comprehensive status evaluation index is within the preset comprehensive evaluation index range, execution is stopped, otherwise C1 is re-executed until the comprehensive status evaluation index is within the preset comprehensive evaluation index range.

[0030] The embodiment of the present application provides an RFID tag inventory counting device for an electronic intelligent storage cabinet, including a verification anomaly index acquisition module, a qualified RFID tag information acquisition module, an inventory status index acquisition module, a qualified inventory information acquisition module and a comprehensive status evaluation index acquisition module: wherein the verification anomaly index acquisition module is used to acquire RFID tag initial information and obtain a verification anomaly index in combination with reference RFID tag information acquired from a preset database, and judge whether to acquire unqualified RFID tag information based on the verification anomaly index and a preset verification index threshold, wherein the RFID tag initial information includes item location information and item feature information, and the verification anomaly index is used to evaluate the abnormality of tag information; the qualified RFID tag information acquisition module is used to, after acquiring unqualified RFID tag information, evaluate the abnormality of the acquired unqualified RFID tag information. The information is used to adjust the label to obtain qualified RFID label information; the inventory status index acquisition module is used to obtain item inventory data according to the qualified RFID label information, obtain the inventory status index according to the item inventory data and the preset inventory data, and determine whether to obtain unqualified inventory information based on the inventory status index and the preset inventory index range, and the inventory status index is used to evaluate the inventory status of the item; the qualified inventory information acquisition module is used to adjust the status of the obtained unqualified inventory information to obtain qualified inventory information if unqualified inventory information is obtained; the comprehensive status evaluation index acquisition module is used to obtain a comprehensive status evaluation index according to the qualified inventory information, the qualified RFID label information and the preset reference status information, and perform performance adjustment according to the obtained comprehensive status evaluation index, and the comprehensive status evaluation index is used to evaluate the overall performance of RFID tag inventory.

[0031] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0032] 1. By obtaining the initial information of the RFID tag and combining it with the reference RFID tag information obtained from the preset database, the verification abnormality index is obtained and it is judged whether there is unqualified RFID tag information, and then the item inventory data is obtained according to the qualified RFID tag information, and then the inventory status index is obtained according to the item inventory data and the preset inventory data, and it is judged whether there is unqualified inventory information, and then the comprehensive status evaluation index is obtained, and finally the performance is adjusted according to the comprehensive status evaluation index, thereby realizing the improvement of the RFID inventory reliability in the electronic intelligent access cabinet, and then realizing the improvement of the RFID inventory recognition rate in the electronic intelligent access cabinet, and effectively solving the problem of low RFID inventory recognition rate in the electronic intelligent access cabinet in the prior art.

[0033] 2. Obtain abnormal monitoring related data of the electronic intelligent lockers in the preset monitoring area through the abnormal monitoring equipment, then obtain the inventory status related data of the electronic intelligent lockers in the preset monitoring area through the inventory measurement equipment, and finally obtain the comprehensive status related data of the electronic intelligent lockers in the preset monitoring area through the comprehensive status measurement equipment, thereby realizing the improvement of the accuracy of the acquisition of item storage data, and then realizing the improvement of the quality of the acquired item storage data.

[0034] 3. By adjusting the unqualified RFID tag information obtained, qualified RFID tag information is obtained, and then the status of the unqualified inventory information obtained is adjusted to obtain qualified inventory information, and finally the performance is adjusted according to the obtained comprehensive status evaluation index, thereby ensuring the real-time and availability of item storage data, and thus achieving a comprehensive improvement in the adjustment of item storage data. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A flowchart of an RFID tag inventory method for an electronic smart storage cabinet provided in an embodiment of the present application;

[0036] Figure 2 A statistical chart of changes in the comprehensive status assessment index provided in the embodiment of the present application;

[0037] Figure 3 A schematic diagram of the structure of an RFID tag inventory device for an electronic smart storage and retrieval cabinet provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] The embodiment of the present application solves the problem of low RFID inventory recognition rate in electronic smart lockers in the prior art by providing an RFID tag inventory counting method and device for electronic smart lockers. The method obtains the initial information of the RFID tag and combines it with the reference RFID tag information obtained from a preset database to obtain a verification anomaly index and judge whether there is unqualified RFID tag information. Then, the item inventory data is obtained according to the qualified RFID tag information. Then, the inventory status index is obtained according to the item inventory data and the preset inventory data and judge whether there is unqualified inventory information. Then, the comprehensive status evaluation index is obtained. Finally, the performance is adjusted according to the comprehensive status evaluation index, thereby improving the RFID inventory recognition rate in the electronic smart locker.

[0039] The technical solution in the embodiment of the present application is to solve the problem of low RFID inventory recognition rate in the above-mentioned electronic intelligent storage and access cabinet. The overall idea is as follows:

[0040] The obtained verification anomaly index is used to determine whether there is unqualified RFID tag information, and then the item inventory data and inventory status index are obtained based on the qualified RFID tag information to determine whether there is unqualified inventory information, and then the comprehensive status evaluation index is obtained. Finally, performance adjustment is performed based on the comprehensive status evaluation index, thereby achieving the effect of improving the RFID inventory recognition rate in the electronic smart storage and retrieval cabinet.

[0041] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0042] like Figure 1 As shown, it is a flow chart of an RFID tag inventory method for an electronic smart locker provided by an embodiment of the present application, the method comprising the following steps: S1, obtaining the initial information of the RFID tag and combining it with the reference RFID tag information obtained from a preset database to obtain a verification anomaly index, judging whether to obtain unqualified RFID tag information based on the verification anomaly index and a preset verification index threshold, the initial information of the RFID tag includes the location information of the item and the feature information of the item, and the verification anomaly index is used to evaluate the abnormality of the tag information; S2, after obtaining the unqualified RFID tag information, adjusting the obtained unqualified RFID tag information to obtain qualified RFID tag information ; S3, obtain item inventory data according to qualified RFID tag information, obtain inventory status index according to item inventory data and preset inventory data, determine whether to obtain unqualified inventory information based on the inventory status index and the preset inventory index range, and the inventory status index is used to evaluate the inventory status of the item; S4, if unqualified inventory information is obtained, adjust the status of the obtained unqualified inventory information to obtain qualified inventory information; S5, obtain a comprehensive status evaluation index according to qualified inventory information, qualified RFID tag information and preset reference status information, perform performance adjustment according to the obtained comprehensive status evaluation index, and the comprehensive status evaluation index is used to evaluate the overall performance of RFID tag inventory.

[0043] In this embodiment, the verification anomaly index can quickly identify tags with inconsistent or abnormal information by comparing the initial information of the RFID tag with the reference information in the preset database. This helps to discover and correct data errors in a timely manner, ensure that the subsequent processing process is based on accurate data, and thus improve the data accuracy of the entire system. The inventory status index is obtained by comparing the item inventory data provided by the qualified RFID tag information with the preset inventory data, and can reflect the actual status of the inventory in real time. The comprehensive status evaluation index combines multiple aspects of RFID tag inventory and provides a comprehensive performance evaluation perspective. When the verification anomaly index is not less than the preset verification index threshold, it indicates that there is unqualified RFID tag information, and the tag is adjusted. When the inventory status index is not within the preset inventory index range, it indicates that there is unqualified inventory information, and the status is adjusted. When the comprehensive status evaluation index is not within the preset comprehensive evaluation index range, the performance is adjusted; the improvement of the RFID inventory recognition rate in the electronic intelligent storage cabinet is achieved.

[0044] Furthermore, the specific acquisition process of the verification abnormality index is as follows: at the first preset time point within the preset time period, the abnormality monitoring related data of the electronic intelligent storage and access cabinet in the preset monitoring area is obtained through the abnormality monitoring equipment, the abnormality monitoring equipment includes a power meter, a signal generator, a dielectric loss tester, a spectrum analyzer and a wavelength meter, and the abnormality monitoring related data includes a standard transmission power, a standard path loss, a standard transmission gain, a standard receiving gain and a standard wavelength. The standard transmission power represents the transmission power of the signal in the preset monitoring area at the first preset time point within the preset time period, the standard path loss represents the attenuation loss when the first signal propagation occurs in the preset monitoring area within the preset time period, the standard transmission gain represents the gain of the transmitting antenna of the signal in the preset monitoring area at the first preset time point within the preset time period, the standard receiving gain represents the gain of the receiving antenna of the signal in the preset monitoring area at the first preset time point within the preset time period, and the standard wavelength represents The wavelength of the signal of the preset monitoring area is preset at the first preset time point within the preset time period; the preset receiving power threshold and the preset reading distance threshold are obtained from the preset database, and the received signal power deviation and the reading distance deviation are obtained in combination with the abnormal monitoring related data, the received signal power deviation represents the deviation value between the received power of the preset monitoring area signal at the first preset time point and the preset receiving power threshold, and the reading distance deviation represents the deviation value between the reading distance of the preset monitoring area signal at the first preset time point and the preset reading distance threshold; the preset first verification abnormality weight and the preset second verification abnormality weight are obtained from the preset database, and the verification abnormality index is obtained in combination with the received signal power deviation, the reading distance deviation, the preset receiving power threshold and the preset reading distance threshold, the first verification abnormality weight is used to evaluate the influence of the received signal power deviation on the verification abnormality index, and the second verification abnormality weight is used to evaluate the influence of the reading distance deviation on the verification abnormality index.

[0045] In this embodiment, the preset receiving power threshold is represented by the mean of the receiving power data in the preset database, and the preset reading distance threshold is represented by the mean of the reading distance data in the preset database. The power meter is an instrument for measuring the active power of electrical signals, and is widely used in the fields of electricity, communication, etc. It can measure the power consumption of electronic equipment or circuits, and generally consists of a power sensor (also called a power meter probe) and a power indicator. The power sensor is responsible for converting high-frequency electrical signals into electrical signals that can be directly detected, while the power indicator includes signal amplification, conversion and display for displaying the measurement results. The signal generator is a device that can provide electrical signals of various frequencies, waveforms and output levels. The wavelength meter is an instrument that uses the resonance phenomenon to measure the wavelength of radio waves; the RFID inventory recognition rate in the electronic intelligent access cabinet is improved.

[0046] Specifically, the preset first check anomaly weight is the weight corresponding to the preset transmission power value in the preset database, which represents the value of the influence of the transmission power value on the check anomaly index. When used, the weight corresponding to the preset transmission power value can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the transmission power values ​​of the items in the smart storage and retrieval cabinet storage training set and the weights corresponding to the preset transmission power values ​​in the preset database form a mapping set, and the real-time transmission power is input into the mapping set to obtain the corresponding weight, wherein the mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0047] Specifically, the preset second verification anomaly weight is the weight corresponding to the preset transmission gain value in the preset database, which represents the value of the influence of the transmission gain value on the verification anomaly index. When used, the weight corresponding to the preset transmission gain value can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the transmission gain values ​​of the items in the smart storage and retrieval cabinet storage training set and the weights corresponding to the preset transmission gain values ​​in the preset database form a mapping set, and the real-time transmission gain is input into the mapping set to obtain the corresponding weight, wherein the mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0048] Furthermore, the verification anomaly index is calculated using the following formula:

[0049]

[0050] ΔA 0t =P t -F-A0;

[0051]

[0052] In the formula, represents the verification abnormality index of the electronic intelligent access cabinet at the tth first preset time point, t=1,2,...,n, t represents the number of the first preset time point, n represents the total number of the first preset time points, ΔA 0t represents the received signal power deviation at the tth first preset time point, ΔA 1t represents the reading distance deviation at the first preset time point t, P t represents the standard transmission power at the first preset time point t, F represents the standard path loss, G 1t represents the standard transmission gain at the first preset time point t, G 2t represents the standard receiving gain at the tth first preset time point, τ t represents the standard wavelength at the tth first preset time point, A0 represents the preset receiving power threshold, A1 represents the preset reading distance threshold, α1 represents the preset first verification abnormality weight, α2 represents the preset second verification abnormality weight, and e represents a natural constant.

[0053] In this embodiment, the algorithm of this embodiment combines standard transmission power, standard path loss, standard transmission gain, standard receiving gain and standard wavelength, and comprehensively analyzes to obtain the verification abnormality index. In this formula, there is a common adjustment relationship between standard transmission power, standard path loss, standard transmission gain, standard receiving gain and standard wavelength. For example, it may be necessary to increase the transmission power, increase the transmission gain and receiving gain, and select the wavelength to minimize the path loss. The greater the transmission power, the stronger the ability of the signal to resist path loss during transmission in theory, so that the signal still maintains a certain intensity at a distance. The transmission power and transmission gain jointly determine the total power of the signal when it is transmitted. The transmission gain can increase the transmission distance and intensity of the signal in a specific direction without increasing the transmission power. With the increase of standard transmission power, standard transmission gain, standard receiving gain and standard wavelength, the verification abnormality index gradually increases, which means that the more serious the abnormality of the tag information, the standard transmission power, standard transmission gain, standard receiving gain and standard wavelength are positively correlated with the verification abnormality index, so by establishing a mathematical form, accurate analysis is performed; the improvement of the RFID inventory recognition rate in the electronic intelligent access cabinet is achieved.

[0054] Furthermore, the specific process of label adjustment is as follows: A1, compare the verification anomaly index with the preset verification index threshold. When the verification anomaly index is not less than the preset verification index threshold, obtain unqualified RFID label information, and the unqualified RFID label information represents the RFID label information corresponding to the verification anomaly index not less than the preset verification index threshold; A2, perform missing processing on the unqualified RFID label information, and the missing processing is used to fill the missing inventory number and label number; A3, perform repeated processing on the unqualified RFID label information, and the repeated processing is used to delete the same label information; A4, perform error checking processing on the unqualified RFID label information, and monitor the verification anomaly index until the verification anomaly index is less than the preset verification index threshold. Otherwise, re-adjust the label until the verification anomaly index is less than the preset verification index threshold. The error checking processing is used to ensure that the inventory number corresponds to the RFID label one-to-one and the inventory quantity is a non-negative integer.

[0055] In this embodiment, the preset space verification index threshold is represented by the mean of the verification index data in the preset database. For example, the errors checked include the mismatch between the RFID tag and the inventory number and the negative inventory quantity. Ensuring that each RFID tag has a complete inventory number and tag number is the basis for subsequent processing. Ensuring that each RFID tag has a complete inventory number and tag number is the basis for subsequent processing. Any negative number or decimal may be a manifestation of data entry error or system abnormality. It aims to gradually improve the accuracy and completeness of RFID tag information through missing processing, duplicate processing and error checking processing; the RFID inventory recognition rate in electronic smart lockers is improved.

[0056] Furthermore, the specific acquisition process of the inventory status index is as follows: obtaining inventory status related data of the electronic smart lockers in the preset monitoring area through inventory measurement equipment within a preset time period, the inventory measurement equipment includes a three-dimensional scanner, an optical sensor and a laser rangefinder, and the inventory status related data includes standard item volume, standard locker volume and standard weight, the standard item volume represents the volume of items in the electronic smart lockers in the preset monitoring area, the standard locker volume represents the volume of the electronic smart lockers in the preset monitoring area, and the standard weight represents the weight of items in the electronic smart lockers in the preset monitoring area; obtaining a preset space utilization threshold and a preset density threshold from a preset database, and The space utilization deviation and density deviation are obtained in combination with the inventory status related data. The space utilization deviation indicates the deviation value between the space utilization of the electronic intelligent lockers in the preset monitoring area and the preset space utilization threshold value. The density deviation indicates the deviation value between the density of the electronic intelligent lockers in the preset monitoring area and the preset density threshold value. The preset first state weight and the preset second state weight are obtained from the preset database, and the inventory status index is obtained in combination with the space utilization deviation and the density deviation. The preset first state weight is used to evaluate the influence of the standard item volume and the standard locker volume on the inventory status index. The preset second state weight is used to evaluate the influence of the standard item volume and the standard weight on the inventory status index.

[0057] In this embodiment, the preset space utilization threshold is represented by the mean of the space utilization data in the preset database, and the preset density threshold is represented by the mean of the storage density data in the preset database. The three-dimensional scanner projects light patterns (such as stripes, dots or grids) onto the surface of the object, and then uses a camera to capture the deformation of these light patterns on the surface of the object, thereby obtaining three-dimensional information of the surface of the object. The optical sensor is a device that measures based on optical principles. It determines the existence, distance or properties of an object by measuring changes in the intensity, wavelength or polarization of light. The working principle of the laser rangefinder is mainly based on the echo time and speed of light after the laser pulse is reflected on the target object to obtain the distance between the target object and the rangefinder; the RFID inventory recognition rate in the electronic intelligent access cabinet is improved.

[0058] Specifically, the preset first state weight is the weight corresponding to the preset item volume value in the preset database, which represents the value of the influence of the item volume value on the inventory status index. When used, the weight corresponding to the preset item volume value can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the item volume values ​​of the items in the smart storage and retrieval cabinet storage training set and the weights corresponding to the item volume values ​​preset in the preset database form a mapping set, and the real-time item volume is input into the mapping set to obtain the corresponding weight, wherein the mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0059] Specifically, the preset second state weight is the weight corresponding to the preset item weight value in the preset database, which represents the value of the influence of the item weight value on the inventory status index. When used, the weight corresponding to the preset item weight value can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the item weight values ​​of the items in the smart storage and retrieval cabinet storage training set and the weights corresponding to the preset item weight values ​​in the preset database form a mapping set, and the real-time item weight is input into the mapping set to obtain the corresponding weight, wherein the mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0060] Furthermore, the inventory status index is calculated using the following formula:

[0061]

[0062]

[0063]

[0064] In the formula, represents the inventory status index of the i-th electronic intelligent storage cabinet, i=1,2,...,m, i represents the number of the electronic intelligent storage cabinet, m represents the total number of electronic intelligent storage cabinets, ΔB 0i represents the space utilization deviation of the i-th electronic intelligent storage cabinet, ΔB1 ​​represents the density deviation of the i-th electronic intelligent storage cabinet, V 0i represents the standard volume of items in the i-th electronic intelligent storage cabinet, V 1i represents the standard storage cabinet volume of the i-th electronic intelligent storage cabinet, W i represents the standard weight of items in the i-th electronic intelligent storage cabinet, B0 represents the preset space utilization threshold, B1 represents the preset density threshold, θ1 represents the preset first state weight, and θ2 represents the preset second state weight.

[0065] In this embodiment, the algorithm of this embodiment combines the volume of standard items, the volume of standard storage and access cabinets, and the standard weight, and comprehensively analyzes to obtain the inventory status index. In this formula, there is a common adjustment relationship between the volume of standard items, the volume of standard storage and access cabinets, and the standard weight. For example, the larger the volume of standard items, the higher the space occupancy rate of the items in the storage and access cabinet. Under the same volume, the density of different items is different, which will lead to differences in standard weights. When the volume of standard items is close to or exceeds the volume of standard storage and access cabinets, it means that the storage and access cabinets are close to full load or overloaded. The design of the storage and access cabinets needs to take into account their load-bearing capacity to ensure that no structural damage occurs when storing items of a certain weight. Therefore, when evaluating the inventory status, it is necessary to comprehensively consider the volume of standard storage and access cabinets and the weight of items that may be stored (i.e., standard weight) to ensure the safe use of storage and access cabinets. When the inventory status index is high, it means that the space in the storage cabinet is fully utilized and the load-bearing capacity is reasonable. As the standard weight increases and the volume of the standard storage cabinet decreases, the verification abnormality index gradually increases. The standard weight is positively correlated with the inventory status index, and the volume of the standard storage cabinet is negatively correlated with the inventory status index. Therefore, accurate analysis is performed by establishing a mathematical form; the RFID inventory recognition rate in the electronic intelligent storage cabinet is improved.

[0066] Furthermore, the specific process of status adjustment is as follows: B1, perform position change processing based on unqualified inventory information, and monitor the inventory status index at the same time. When the inventory status index is within the preset inventory index range, stop execution, otherwise execute B2. Position change processing means replacing the wrong items placed in the electronic intelligent storage cabinet. The unqualified inventory information means the inventory information of the items when the inventory status index is not within the preset inventory index range. The status adjustment is used to adjust the inventory status index corresponding to the unqualified inventory information to within the preset inventory index range; B2, perform excess item processing based on the unqualified inventory information, and monitor the inventory status index at the same time. When the inventory status index is within the preset inventory index range, stop execution, otherwise re-execute B1. Excess item processing means clearing the items placed in the electronic intelligent storage cabinet for more than the preset time.

[0067] In this embodiment, the preset inventory index range is set based on a preset inventory index threshold. The preset inventory index threshold is represented by the average of the inventory status index data of the historical time period in the preset database. Generally, 2 times the preset inventory index threshold is used as the upper limit of the range, and 0.5 times the preset inventory index threshold is used as the lower limit of the range. When the inventory status index still does not reach the preset inventory index range, it may be necessary to re-evaluate the unqualified inventory information. For example, by scanning the items in the storage and access cabinet and comparing them with the data in the inventory management system, the items whose inventory status index is not within the preset range are identified; thereby improving the RFID inventory recognition rate in the electronic intelligent storage and access cabinet.

[0068] Furthermore, the specific acquisition process of the comprehensive status evaluation index is as follows: within a preset time period, the comprehensive status related data of the electronic intelligent storage and retrieval cabinet in the preset monitoring area is obtained through the comprehensive status measurement equipment, the comprehensive status measurement equipment includes an RFID reader and an RFID scanner, and the comprehensive status related data includes a standard inventory number, a standard total inventory number, a first identification number, a second identification number and a third identification number. The standard inventory number represents the inventory quantity counted in the preset monitoring area within the preset time period, the standard total inventory number represents the original record inventory quantity in the preset monitoring area within the preset time period, the first identification number represents the total number of time intervals corresponding to a tag being successfully identified in the preset monitoring area within the preset time period, the second identification number represents the total number of time intervals corresponding to the inability to identify any tag due to the simultaneous response of two or more tags in the preset monitoring area within the preset time period, and the third identification number represents The total number of time intervals corresponding to no tag being identified is indicated; a preset inventory accuracy threshold and a preset tag recognition rate threshold are obtained from a preset database, and the inventory accuracy deviation and the tag recognition rate deviation are obtained in combination with the comprehensive status related data, the inventory accuracy deviation represents the deviation value of the inventory accuracy in the preset monitoring area within the preset time period, and the tag recognition rate deviation represents the deviation value of the tag recognition rate in the preset monitoring area within the preset time period; a preset first status evaluation weight and a preset second status evaluation weight are obtained from a preset database, and a comprehensive status evaluation index is obtained in combination with the inventory accuracy deviation and the tag recognition rate deviation, the preset first status evaluation weight is used to evaluate the degree of influence of the inventory accuracy deviation on the comprehensive status evaluation index, and the preset second status evaluation weight is used to evaluate the degree of influence of the tag recognition rate deviation on the comprehensive status evaluation index; the comprehensive status evaluation index is calculated using the following formula:

[0069]

[0070]

[0071]

[0072] In the formula, represents the comprehensive status evaluation index of the pth preset time period, p=1,2,...,f, p represents the number of the preset time period, f represents the total number of preset time periods, ΔC p Indicates the inventory accuracy deviation in the pth preset time period, ΔD p represents the tag recognition rate deviation in the pth preset time period, N 1p Indicates the standard inventory quantity for the pth preset time period, N 0p represents the standard total inventory in the pth preset time period, M 1p represents the first identification number of the pth preset time period, M 2p represents the second identification number of the pth preset time period, M3p represents the third recognition number of the pth preset time period, C0 represents the preset inventory accuracy threshold, D0 represents the preset tag recognition rate threshold, ρ1 represents the preset first state evaluation weight, ρ2 represents the preset second state evaluation weight, and e represents a natural constant.

[0073] In this embodiment, the preset inventory accuracy threshold is represented by the mean of the inventory accuracy data in the preset database, and the preset tag recognition rate threshold is represented by the mean of the tag recognition rate data in the preset database. The RFID reader activates the electronic tag and exchanges data with it by sending a radio frequency signal, thereby realizing automatic identification and data collection of the target object. The RFID scanner usually focuses more on the reading operation of the RFID tag, and it obtains the information stored in the tag by scanning the RFID tag.

[0074] Specifically, the preset first state evaluation weight is the weight corresponding to the inventory value preset in the preset database, which represents the value of the degree of influence of the inventory value on the comprehensive state evaluation index. When used, the weight corresponding to the preset inventory value can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the inventory value of the items in the smart storage and retrieval cabinet storage training set and the weight corresponding to the inventory value preset in the preset database form a mapping set, and the real-time inventory number is input into the mapping set to obtain the corresponding weight, wherein the mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0075] Specifically, the preset second state evaluation weight is the weight corresponding to the preset recognition time slot number value in the preset database, which represents the value of the influence of the recognition time slot number value on the comprehensive state evaluation index. When used, the weight corresponding to the preset recognition time slot number value can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the recognition time slot number value of the item in the smart storage and retrieval cabinet storage training set and the weight corresponding to the recognition time slot number value preset in the preset database form a mapping set, and the real-time recognition time slot number is input into the mapping set to obtain the corresponding weight, wherein the mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0076] The algorithm of this embodiment combines the standard inventory number, the standard total inventory number, the first identification number, the second identification number and the third identification number, and comprehensively analyzes to obtain the comprehensive status evaluation index. In this formula, there is a common adjustment relationship between the standard inventory number, the standard total inventory number, the first identification number, the second identification number and the third identification number. For example, the accuracy of the standard inventory number and the standard total inventory number directly affects the efficiency and quality of inventory management. The changes in the first identification number, the second identification number and the third identification number reflect the application effect of RFID technology in inventory management. As the standard inventory number increases, the standard total inventory number, the second identification number and the third identification number decrease, and the comprehensive status evaluation index gradually increases. The standard inventory number is positively correlated with the comprehensive status evaluation index, and the standard total inventory number, the second identification number and the third identification number are negatively correlated with the comprehensive status evaluation index. If the standard inventory number is frequently lower than or higher than the standard total inventory number, it may mean that there are problems such as inventory loss, incorrect recording or excessive storage, which will directly affect the comprehensive status evaluation index. A high first identification number usually means that the tag identification system is efficient and accurate, which helps to keep the inventory data updated in real time, thereby maintaining better consistency with the standard inventory number and the standard total inventory number. A high second identification number will reduce the first identification number and may increase the third identification number. The standard inventory number, as a reflection of the actual inventory, can be compared with the standard total inventory number to evaluate the accuracy, change or difference of the inventory. If the difference between the two is large, it may mean that there is inventory loss, incorrect recording or unrecorded inventory changes. Therefore, by establishing a mathematical form for accurate analysis, the RFID inventory recognition rate in the electronic intelligent access cabinet is improved.

[0077] Assume that the inventory accuracy deviation ΔC p The range is 0.1-0.5, and the tag recognition rate deviation ΔD p The range is 0.1-0.5, the first state evaluation weight ρ1 is preset to 0.6, and the second state evaluation weight ρ1 is preset to 0.4. Figure 2 As shown in the figure, it is a statistical diagram of the changes in the comprehensive status evaluation index provided in the embodiment of the present application. It can be seen from the figure that as the inventory accuracy deviation ΔC p and tag recognition rate deviation ΔD p The gradual decrease of the comprehensive status evaluation index gradually increases, which means that the overall performance of RFID tag inventory is getting better and better.

[0078] Furthermore, the specific process of performance adjustment is as follows: C1, perform signal testing on the signal outside the electronic intelligent storage cabinet area through a preset signal testing device to obtain the layout area, the layout area represents the signal area interfered by the interference source, and the performance adjustment is used to improve the overall performance of the RFID tag inventory; C2, re-layout the RFID tags in the layout area, and the re-layout is used to provide feedback to the preset personnel to adjust the placement of the RFID tags to avoid interference; C3, perform signal testing on the re-layouted RFID tags to obtain the comprehensive status evaluation index, compare the comprehensive status evaluation index, and determine whether the comprehensive status evaluation index is within the preset comprehensive evaluation index range. When the comprehensive status evaluation index is within the preset comprehensive evaluation index range, stop execution, otherwise re-execute C1 until the comprehensive status evaluation index is within the preset comprehensive evaluation index range.

[0079] In this embodiment, the preset comprehensive evaluation index range is set based on the preset comprehensive evaluation index threshold. The preset comprehensive evaluation index threshold is represented by the mean value of the comprehensive evaluation index data of the historical time period in the preset database. Generally, 2 times of the preset comprehensive evaluation index threshold is used as the upper limit of the range, and 0.5 times of the preset comprehensive evaluation index threshold is used as the lower limit of the range. When rearranging the RFID tags, it should be ensured that the placement of the tags will not affect the access operation of the items, and good signal quality can be obtained. After the signal test of the rearranged RFID tags is performed, the comprehensive status evaluation index is obtained. When the comprehensive status evaluation index is not within the preset comprehensive evaluation index range, it is fed back to the preset personnel to adjust the power, frequency, and antenna configuration of the RFID reader step by step with the preset multiples and re-execute C1; the RFID inventory recognition rate in the electronic intelligent storage and retrieval cabinet is improved.

[0080] like Figure 3As shown, it is a structural schematic diagram of an RFID tag inventory counting device for an electronic intelligent storage and retrieval cabinet provided by an embodiment of the present application. An RFID tag inventory counting device for an electronic intelligent storage and retrieval cabinet provided by an embodiment of the present application includes: a verification anomaly index acquisition module, a qualified RFID tag information acquisition module, an inventory status index acquisition module, a qualified inventory information acquisition module and a comprehensive status evaluation index acquisition module: wherein the verification anomaly index acquisition module is used to acquire RFID tag initial information and obtain a verification anomaly index in combination with reference RFID tag information acquired from a preset database, and judge whether to acquire unqualified RFID tag information based on the verification anomaly index and a preset verification index threshold value, the RFID tag initial information includes item location information and item feature information, and the verification anomaly index is used to evaluate the abnormality of tag information; the qualified RFID tag information acquisition module is used to acquire unqualified RFID tag information after acquiring the unqualified RFID tag information. After obtaining the FID tag information, the unqualified RFID tag information is adjusted to obtain qualified RFID tag information; the inventory status index acquisition module is used to obtain the item inventory data according to the qualified RFID tag information, obtain the inventory status index according to the item inventory data and the preset inventory data, and determine whether to obtain unqualified inventory information based on the inventory status index and the preset inventory index range. The inventory status index is used to evaluate the inventory status of the item; the qualified inventory information acquisition module is used to adjust the status of the unqualified inventory information obtained to obtain qualified inventory information if unqualified inventory information is obtained; the comprehensive status evaluation index acquisition module is used to obtain the comprehensive status evaluation index according to the qualified inventory information, the qualified RFID tag information and the preset reference status information, and perform performance adjustment according to the obtained comprehensive status evaluation index. The comprehensive status evaluation index is used to evaluate the overall performance of the RFID tag inventory.

[0081] In this embodiment, the verification abnormality index acquisition module can promptly discover and correct errors in RFID tag information to ensure that the data basis for subsequent processing is accurate. The qualified RFID tag information acquisition module ensures that the data relied on by the subsequent inventory management process is complete and accurate by adjusting the unqualified RFID tag information. The inventory status index acquisition module can reflect the actual status of the inventory in real time and provide timely and accurate information support for inventory management. The qualified inventory information acquisition module avoids inventory backlogs by promptly processing unqualified inventory information. The comprehensive status evaluation index acquisition module provides a comprehensive evaluation of the performance of the RFID tag inventory system, which helps to discover potential problems and room for improvement; and achieves an improvement in the RFID inventory recognition rate in electronic intelligent storage and retrieval cabinets.

[0082] To summarize, the embodiment of the present application obtains the initial information of the RFID tag and combines it with the reference RFID tag information obtained from the preset database to obtain the verification anomaly index and judge whether there is unqualified RFID tag information, and then obtains the item inventory data according to the qualified RFID tag information, and then obtains the inventory status index according to the item inventory data and the preset inventory data and judges whether there is unqualified inventory information, and then obtains the comprehensive status evaluation index, and finally adjusts the performance according to the comprehensive status evaluation index, thereby realizing the improvement of the RFID inventory reliability in the electronic smart access cabinet, and then realizing the improvement of the RFID inventory recognition rate in the electronic smart access cabinet, which effectively solves the problem of low RFID inventory recognition rate in the electronic smart access cabinet in the prior art.

[0083] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0084] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0087] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0088] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An RFID tag inventory method for electronic intelligent storage and access cabinets, characterized in that: The following steps are involved: S1, obtaining the initial information of the RFID tag and combining it with the reference RFID tag information obtained from a preset database to obtain a verification anomaly index, and judging whether to obtain unqualified RFID tag information based on the verification anomaly index and a preset verification index threshold, wherein the initial information of the RFID tag includes the location information of the item and the feature information of the item, and the verification anomaly index is used to evaluate the abnormality of the tag information; S2, after obtaining the unqualified RFID tag information, performing tag adjustment on the obtained unqualified RFID tag information to obtain qualified RFID tag information; S3, obtaining item inventory data according to qualified RFID tag information, obtaining an inventory status index according to the item inventory data and preset inventory data, and determining whether to obtain unqualified inventory information based on the inventory status index and a preset inventory index range, wherein the inventory status index is used to evaluate the inventory status of the item; S4, if unqualified inventory information is obtained, adjusting the status of the unqualified inventory information to obtain qualified inventory information; S5, obtaining a comprehensive status evaluation index according to the qualified inventory information, the qualified RFID tag information and the preset reference status information, and performing performance adjustment according to the obtained comprehensive status evaluation index, wherein the comprehensive status evaluation index is used to evaluate the overall performance status of the RFID tag inventory.

2. The RFID tag inventory method for an electronic intelligent storage cabinet as claimed in claim 1, characterized in that: The specific process of obtaining the verification anomaly index is as follows: At a first preset time point within a preset time period, abnormal monitoring related data of the electronic intelligent storage and access cabinet in a preset monitoring area is obtained through an abnormal monitoring device, wherein the abnormal monitoring device includes a power meter, a signal generator, a dielectric loss tester, a spectrum analyzer and a wavelength meter, and the abnormal monitoring related data includes a standard transmission power, a standard path loss, a standard transmission gain, a standard receiving gain and a standard wavelength; Obtain a preset receiving power threshold and a preset reading distance threshold from a preset database, and obtain a receiving signal power deviation and a reading distance deviation in combination with abnormal monitoring related data; A preset first verification anomaly weight and a preset second verification anomaly weight are obtained from a preset database, and a verification anomaly index is obtained by combining a received signal power deviation, a reading distance deviation, a preset received power threshold, and a preset reading distance threshold.

3. The RFID tag inventory method for an electronic intelligent storage cabinet as claimed in claim 1, characterized in that: The verification anomaly index is calculated using the following formula: ΔA 0t =P t -F-A0; In the formula, represents the verification abnormality index of the electronic intelligent access cabinet at the tth first preset time point, t=1,2,...,n, t represents the number of the first preset time point, n represents the total number of the first preset time points, ΔA 0t represents the received signal power deviation at the tth first preset time point, ΔA 1t represents the reading distance deviation at the first preset time point t, P t represents the standard transmission power at the first preset time point t, F represents the standard path loss, G 1t represents the standard transmission gain at the first preset time point t, G 2t represents the standard receiving gain at the tth first preset time point, τ t represents the standard wavelength at the tth first preset time point, A0 represents the preset receiving power threshold, A1 represents the preset reading distance threshold, α1 represents the preset first verification abnormality weight, α2 represents the preset second verification abnormality weight, and e represents a natural constant.

4. The RFID tag inventory method for an electronic intelligent storage cabinet as claimed in claim 1, characterized in that: The specific process of label adjustment is as follows: A1, comparing the verification abnormality index with the preset verification index threshold, when the verification abnormality index is not less than the preset verification index threshold, obtaining the unqualified RFID tag information; A2, performing missing processing on the unqualified RFID tag information, wherein the missing processing is used to fill in the missing inventory number and tag number; A3, repeatedly processing the unqualified RFID tag information, wherein the repeated processing is used to delete the same tag information; A4, error checking and processing are performed on the unqualified RFID tag information, and the verification abnormality index is monitored at the same time until the verification abnormality index is less than the preset verification index threshold. Otherwise, the tag is readjusted until the verification abnormality index is less than the preset verification index threshold.

5. The RFID tag inventory method for electronic intelligent storage and access cabinets as claimed in claim 1, characterized in that: The specific process of obtaining the inventory status index is as follows: Acquiring data related to the inventory status of the electronic intelligent storage and access cabinets in a preset monitoring area through an inventory measurement device within a preset time period, wherein the inventory measurement device includes a three-dimensional scanner, an optical sensor, and a laser rangefinder, and the inventory status related data includes a standard item volume, a standard storage and access cabinet volume, and a standard weight; Obtaining a preset space utilization rate threshold and a preset density threshold from a preset database, and obtaining a space utilization rate deviation and a density deviation in combination with inventory status related data; The preset first state weight and the preset second state weight are obtained from the preset database, and the inventory state index is obtained by combining the space utilization deviation and the density deviation.

6. The RFID tag inventory method for an electronic intelligent storage cabinet as claimed in claim 5, characterized in that: The inventory status index is calculated using the following formula: In the formula, represents the inventory status index of the i-th electronic intelligent storage cabinet, i=1,2,...,m, i represents the number of the electronic intelligent storage cabinet, m represents the total number of electronic intelligent storage cabinets, ΔB 0i represents the space utilization deviation of the i-th electronic intelligent storage cabinet, ΔB1 ​​represents the density deviation of the i-th electronic intelligent storage cabinet, V 0i represents the standard volume of items in the i-th electronic intelligent storage cabinet, V 1i represents the standard storage cabinet volume of the i-th electronic intelligent storage cabinet, W i represents the standard weight of items in the i-th electronic intelligent storage cabinet, B0 represents the preset space utilization threshold, B1 represents the preset density threshold, θ1 represents the preset first state weight, and θ2 represents the preset second state weight.

7. The RFID tag inventory method for electronic intelligent storage and access cabinets as claimed in claim 1, characterized in that: The specific process of the state adjustment is as follows: B1, perform position change processing according to the unqualified inventory information, and monitor the inventory status index at the same time. When the inventory status index is within the preset inventory index range, stop executing, otherwise execute B2. The position change processing means replacing the wrongly placed items in the electronic intelligent storage cabinet; B2, process excess items according to the unqualified inventory information, and monitor the inventory status index at the same time. When the inventory status index is within the preset inventory index range, stop executing, otherwise re-execute B1. The excess item processing means clearing the items placed in the electronic smart locker for more than a preset time.

8. The RFID tag inventory method for an electronic intelligent storage cabinet as claimed in claim 1, characterized in that: The specific process of obtaining the comprehensive status assessment index is as follows: Acquire comprehensive status-related data of the electronic intelligent storage and access cabinet in a preset monitoring area through a comprehensive status measurement device within a preset time period, wherein the comprehensive status measurement device includes an RFID reader and an RFID scanner, and the comprehensive status-related data includes a standard inventory number, a standard total inventory number, a first identification number, a second identification number, and a third identification number; Obtain a preset inventory accuracy threshold and a preset tag recognition rate threshold from a preset database, and obtain an inventory accuracy deviation and a tag recognition rate deviation in combination with the comprehensive status related data; Obtaining a preset first status evaluation weight and a preset second status evaluation weight from a preset database, and obtaining a comprehensive status evaluation index by combining the inventory accuracy deviation and the tag recognition rate deviation; The comprehensive status assessment index is calculated using the following formula: In the formula, C p 1 represents the comprehensive status evaluation index of the pth preset time period, p=1,2,...,f, p represents the number of the preset time period, f represents the total number of preset time periods, ΔC p Indicates the inventory accuracy deviation in the pth preset time period, ΔD p represents the tag recognition rate deviation in the pth preset time period, N 1p Indicates the standard inventory quantity for the pth preset time period, N 0p represents the standard total inventory in the pth preset time period, M 1p represents the first identification number of the pth preset time period, M 2p represents the second identification number of the pth preset time period, M 3p represents the third recognition number of the pth preset time period, C0 represents the preset inventory accuracy threshold, D0 represents the preset tag recognition rate threshold, ρ1 represents the preset first state evaluation weight, ρ2 represents the preset second state evaluation weight, and e represents a natural constant.

9. The RFID tag inventory method for electronic intelligent storage and access cabinets as claimed in claim 1, characterized in that: The specific process of the performance adjustment is as follows: C1, performing a signal test on the signal outside the electronic intelligent storage cabinet area by a preset signal test device to obtain a layout area, wherein the layout area represents the signal area interfered by the interference source; C2, re-layout the RFID tags in the layout area, and the re-layout is used to provide feedback to the preset personnel to adjust the placement of the RFID tags to avoid interference; C3, after performing signal testing on the rearranged RFID tags, obtains the comprehensive status evaluation index, compares the comprehensive status evaluation index, and determines whether the comprehensive status evaluation index is within the preset comprehensive evaluation index range. When the comprehensive status evaluation index is within the preset comprehensive evaluation index range, the execution stops, otherwise C1 is re-executed until the comprehensive status evaluation index is within the preset comprehensive evaluation index range.

10. An RFID tag inventory device for an electronic intelligent storage cabinet, characterized in that: It includes a verification abnormality index acquisition module, a qualified RFID tag information acquisition module, an inventory status index acquisition module, a qualified inventory information acquisition module and a comprehensive status evaluation index acquisition module: The verification anomaly index acquisition module is used to obtain the initial information of the RFID tag and obtain the reference RFID tag information from the preset database to obtain the verification anomaly index, and judge whether to obtain unqualified RFID tag information based on the verification anomaly index and the preset verification index threshold. The initial information of the RFID tag includes the location information of the item and the feature information of the item. The verification anomaly index is used to evaluate the abnormality of the tag information; The qualified RFID tag information acquisition module is used to perform tag adjustment on the acquired unqualified RFID tag information to acquire qualified RFID tag information after acquiring the unqualified RFID tag information; The inventory status index acquisition module is used to acquire item inventory data according to qualified RFID tag information, acquire inventory status index according to item inventory data and preset inventory data, and determine whether to acquire unqualified inventory information based on the inventory status index and the preset inventory index range, and the inventory status index is used to evaluate the inventory status of the item; The qualified inventory information acquisition module is used to adjust the status of the acquired unqualified inventory information to acquire qualified inventory information if unqualified inventory information is acquired; The comprehensive status evaluation index acquisition module is used to obtain a comprehensive status evaluation index based on qualified inventory information, qualified RFID tag information and preset reference status information, and to perform performance adjustment based on the obtained comprehensive status evaluation index. The comprehensive status evaluation index is used to evaluate the overall performance status of RFID tag inventory.

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