Intelligent radio frequency door with identity verification and automatic checking functions

Abstract

The invention provides an intelligent radio frequency door with identity verification and automatic checking functions, which relates to the field of warehouse management and comprises an electric door, a personnel information acquisition module, an RFID (Radio Frequency Identification) module and a controller, the controller is used for receiving an article warehousing task, controlling the personnel information acquisition module to acquire personnel information, controlling the electrically operated gate to be opened after identity recognition is passed, controlling the RFID identification module to read information of the RFID electronic tags on the warehoused articles after the articles are warehoused, and allocating storage positions and storing the articles after warehousing verification is passed; the controller is used for receiving an article delivery task, controlling the personnel information acquisition module to acquire personnel information, controlling the electrically operated gate to be opened after identity identification is passed, and performing article delivery based on the article delivery task and the RFID identification module; the controller is used for receiving an article checking task, controlling the RFID identification module to read information of RFID electronic tags on stored articles, and controlling the RFID electronic tags to read the information of the RFID electronic tags on the stored articles; the method has the advantage that the automatic level of warehouse management is improved.

Description

Technical Field

[0001] The present invention relates to the field of warehouse management, and in particular to an intelligent radio frequency door with identity authentication and automatic inventory counting functions. Background Art

[0002] With the rapid development of modern warehousing and logistics industry, the requirements for intelligent and automated warehousing management are increasing.

[0003] At present, when goods are entering and leaving the warehouse, the warehouse staff needs to count the goods manually. After confirming that all the information of the goods entering and leaving the warehouse is correct, the goods can be entered and left the warehouse. Therefore, the efficiency of entering and leaving the warehouse is very low, which is not enough to support the current warehouse storage business with high entry and exit rates. Secondly, in order to improve the efficiency of entering and leaving the warehouse to fully support the warehouse storage business, it is necessary to increase the staff involved in entering and leaving the warehouse, which will increase the cost of the business. In addition, when using manual counting of goods, it is often affected by the external environment and there are omissions, resulting in a low accuracy rate of goods entering the warehouse.

[0004] Therefore, it is necessary to provide intelligent radio frequency doors with identity authentication and automatic inventory functions to improve the level of warehouse management automation. Summary of the invention

[0005] The present invention provides an intelligent radio frequency door with identity authentication and automatic inventory counting functions, comprising an electric door arranged on a storage structure, a personnel information collection module arranged outside the storage structure, an RFID identification module arranged inside the storage structure, and a controller; the controller is used to receive an item entry task issued by a warehouse management end, control the personnel information collection module to collect personnel information, and perform identity recognition based on the personnel information. After the identity recognition is passed, the electric door is controlled to open. After the item is entered into the warehouse, the RFID identification module is controlled to read the information of the RFID electronic tag on the item entered into the warehouse, and the entry verification is performed according to the information of the RFID electronic tag on the item entered into the warehouse and the item entry task. After the entry verification is passed, a storage position is allocated, and the item is stored according to the storage position; the controller is used to receive an item out-of-warehouse task issued by the warehouse management end, control the personnel information collection module to collect personnel information, and perform identity recognition based on the personnel information. After the identity recognition is passed, the electric door is controlled to open, and the item is out of the warehouse based on the item out-of-warehouse task and the RFID identification module: the controller is used to receive an item inventory counting task initiated by the warehouse management end, control the RFID identification module to read the information of the RFID electronic tag on the stored item, determine the storage position of the stored item, and perform item inventory counting.

[0006] Furthermore, the personnel information acquisition module includes an image acquisition component and a fingerprint acquisition component; the controller is also used to: obtain facial images of multiple authorized persons through the image acquisition component; obtain multiple preset facial factors; for each preset facial factor, determine the feature difference value corresponding to the preset facial factor based on the facial images of multiple authorized persons; determine multiple key facial factors from the multiple preset facial factors based on the feature difference values ​​corresponding to each preset facial factor; determine similar authorized persons from multiple authorized persons based on the multiple key facial factors and the facial images of multiple authorized persons; obtain fingerprint information of similar authorized persons through the fingerprint acquisition component; the controller controls the personnel information acquisition module to collect personnel information, and perform identity recognition based on the personnel information, including: collecting personnel information based on multiple key facial factors, facial images of multiple authorized persons and fingerprint information of similar authorized persons, and performing identity recognition based on the personnel information.

[0007] Furthermore, based on multiple key facial factors, facial images of multiple authorized persons and fingerprint information of similar authorized persons, personnel information is collected, and identity recognition is performed based on the personnel information, including: for any two similar authorized persons, based on multiple key facial factors, determining the similarity of facial features of the two similar authorized persons; according to the similarity of facial features of any two similar authorized persons, grouping the similar authorized persons to determine a similar authorized person group; for each similar authorized person group, based on multiple key facial factors and facial images of similar authorized persons included in the similar authorized person group, determining the group facial features corresponding to the similar authorized person group; for any two non-similar authorized users, based on multiple key facial factors, determining the similarity of facial features of the two non-similar authorized persons; according to the similarity of facial features of any two non-similar authorized persons, grouping the non-similar authorized persons to determine a non-similar authorized person group; for each non-similar authorized person group, based on multiple key facial factors, determining the similarity of facial features of the two non-similar authorized persons factors and facial images of non-similar authorized persons included in the non-similar authorized persons group, determine the group facial features corresponding to the non-similar authorized persons group; obtain the facial image of the person to be identified through the image acquisition component; based on multiple key facial factors, extract the facial features of the person to be identified from the facial image of the person to be identified; based on the group facial features corresponding to the similar authorized persons group and the facial features of the person to be identified, determine whether there is a matching similar authorized persons group; if so, collect the fingerprint information of the person to be identified through the fingerprint acquisition component, and perform identity recognition based on the facial features and fingerprint information of the person to be identified and the facial images and fingerprint information of the similar authorized persons included in the matching similar authorized persons group; if not, determine the matching non-similar authorized persons group based on the facial features of the person to be identified and the group facial features corresponding to the non-similar authorized persons group, and perform identity recognition based on the facial features of the person to be identified and the facial images of the non-similar authorized persons included in the matching non-similar authorized persons group.

[0008] Furthermore, the RFID identification module includes an RFID reader / writer, multiple circularly polarized antennas electrically connected to the RFID reader / writer, and multiple calibration electronic tags, wherein the multiple circularly polarized antennas are respectively arranged at different positions inside the storage structure, and the multiple calibration electronic tags are respectively arranged at different positions inside the storage structure.

[0009] Furthermore, the setting positions of multiple circularly polarized antennas and multiple calibrated electronic tags are determined, including: establishing a geometric model of the electric door and the storage structure; determining multiple initial antenna setting schemes; establishing an optimization objective function; for each initial antenna setting scheme, based on the geometric model of the electric door and the storage structure, performing finite element analysis, generating simulation analysis results corresponding to the initial antenna setting scheme, and determining the objective function value corresponding to the initial antenna setting scheme based on the simulation analysis results and the optimization objective function corresponding to the initial antenna setting scheme; generating an optimal antenna setting scheme based on the objective function value corresponding to the initial antenna setting scheme through a genetic algorithm, wherein the optimal antenna setting scheme includes the setting positions of multiple circularly polarized antennas; and determining the setting positions of multiple calibrated electronic tags based on the setting positions of the multiple circularly polarized antennas.

[0010] Furthermore, based on the setting positions of multiple circularly polarized antennas, the setting positions of multiple calibration electronic tags are determined, including: based on the geometric model of the electric door and the storage structure and the optimal antenna setting scheme, finite element analysis is performed to generate simulation analysis results corresponding to the optimal antenna setting scheme; based on the simulation analysis results corresponding to the optimal antenna setting scheme, multiple calibration electronic tag setting positions are determined, wherein the calibration electronic tag setting positions are located within the coverage area of ​​at least three circularly polarized antennas, and the circularly polarized antennas corresponding to any two calibration electronic tag setting positions are at least partially different.

[0011] Furthermore, the controller assigns a storage location, including: for each calibrated electronic tag, obtaining the real-time strength of the calibration tag signal transmitted by the calibrated electronic tag received by each circularly polarized antenna corresponding to the calibrated electronic tag, and calculating the signal interference value corresponding to the calibrated electronic tag according to the real-time strength and calibration strength of the calibration tag signal transmitted by the calibrated electronic tag received by each circularly polarized antenna corresponding to the calibrated electronic tag; and assigning a storage location based on the signal interference value corresponding to each calibrated electronic tag.

[0012] Furthermore, the controller controls the RFID identification module to read the information of the RFID electronic tag on the stored item and determine the storage position of the stored item, including: for each stored item, based on the strength of the tag signal emitted by the RFID electronic tag on the stored item received by each circularly polarized antenna, determining the circularly polarized antenna corresponding to the stored item, according to the strength of the tag signal emitted by the RFID electronic tag on the stored item received by the circularly polarized antenna corresponding to the stored item, determining the distance between the circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item, and based on the distance between each circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item, determining the storage position of the stored item.

[0013] Furthermore, based on the distance between each circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item, the storage position of the stored item is determined, including: determining the calibrated electronic tag corresponding to the stored item according to the circularly polarized antenna corresponding to the stored item; correcting the distance between each circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item according to the calibrated distance between the calibrated electronic tag corresponding to the stored item and each circularly polarized antenna corresponding to the stored item; and determining the storage position of the stored item according to the corrected distance between each circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item.

[0014] Furthermore, it also includes a fault monitoring module arranged on the electric door, which is used to collect real-time operation information of the electric door; the controller is also used to determine the real-time operation status of the electric door based on the real-time operation information of the electric door.

[0015] Compared with the prior art, the intelligent radio frequency door with identity authentication and automatic inventory function provided by the present invention has at least the following beneficial effects: 1. Identity recognition through the personnel information collection module and controller can ensure that only authorized personnel can enter the storage area, greatly enhancing the security of the warehouse. Preventing unauthorized personnel from entering reduces the risk of lost or damaged items. Automatically handling the tasks of warehousing, outbound and inventory counting of items reduces the steps and time of manual operations. Improves work efficiency and reduces the possibility of human errors. The RFID identification module can accurately read the RFID electronic tag information on the items to ensure the accuracy and real-time nature of the item information. This makes warehouse management more precise and can track the detailed information of each item, including storage location, inventory quantity, etc. The controller can monitor the situation of items in the warehouse in real time, including the warehousing, outbound and inventory status of items. This enables managers to understand the operating status of the warehouse at any time and make adjustments and optimizations in time. Traditional inventory work requires a lot of manpower and time, while the intelligent radio frequency door can quickly read the RFID electronic tag information of all stored items to achieve rapid inventory. This not only improves the efficiency of inventory counting, but also reduces errors in the inventory counting process.

[0016] 2. Combining facial image recognition and fingerprint information verification, it provides a higher level of security. Even if someone can forge a facial image, it is difficult to forge fingerprint information at the same time. Through the screening and grouping of key facial factors, the system can more accurately identify authorized personnel and reduce the possibility of false positives and false negatives. By grouping similar and non-similar authorized personnel, the system can locate the person to be identified more quickly and shorten the identity verification time. The entire identity verification process is highly automated, reducing manual intervention and improving overall efficiency. Users do not need to carry any additional equipment or perform cumbersome operations, they can complete identity verification by simply passing through the access control, which improves the user experience. Identity verification can be completed in a short time and clear feedback results can be given, reducing the user's waiting time.

[0017] 3. The antenna and tag setting positions determined by optimization methods such as genetic algorithms can ensure the formation of the best identification network inside the storage structure. This not only improves the accuracy and efficiency of identification, but also reduces signal blind spots and interference. Reasonable antenna and tag layout can reduce unnecessary equipment investment and labor costs, and improve overall economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein: Figure 1 It is a schematic diagram of a module of an intelligent radio frequency door with identity authentication and automatic inventory functions according to some embodiments of this specification; Figure 2It is a schematic diagram of a process of performing identity recognition according to some embodiments of this specification; Figure 3 It is a flowchart of determining the setting positions of multiple circularly polarized antennas and multiple calibration electronic tags according to some embodiments of this specification. DETAILED DESCRIPTION

[0019] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0020] Figure 1 is a schematic diagram of a module of an intelligent radio frequency door with identity authentication and automatic inventory functions according to some embodiments of this specification, such as Figure 1 As shown, the intelligent radio frequency door with identity authentication and automatic inventory functions may include an electric door arranged on a storage structure, a personnel information collection module arranged outside the storage structure, and an RFID identification module and a controller arranged inside the storage structure.

[0021] The controller is used to receive the item entry tasks issued by the warehouse management end, control the personnel information collection module to collect personnel information, and perform identity recognition based on the personnel information. After the identity recognition is passed, the electric door is controlled to open. After the items are entered into the warehouse, the RFID identification module is controlled to read the information of the RFID electronic tags on the items entered into the warehouse, and the entry verification is performed according to the information of the RFID electronic tags on the items entered into the warehouse and the item entry tasks. After the entry verification is passed, the storage location is allocated and the items are stored according to the storage location.

[0022] In some embodiments, the personnel information collection module includes an image collection component and a fingerprint collection component.

[0023] In some embodiments, the controller is further configured to: Acquire facial images of multiple authorized persons through an image acquisition component; Obtain multiple preset face factors, such as eye distance, horizontal width of eyes, vertical height of eyes, pupil size, nose bridge height, horizontal width of nose, vertical height of nose, horizontal width of mouth, vertical height of mouth, etc.; For each preset facial factor, determining a feature difference value corresponding to the preset facial factor based on facial images of multiple authorized persons; Determining a plurality of key facial factors from a plurality of preset facial factors according to a feature difference value corresponding to each preset facial factor; Determine similar authorized persons from among multiple authorized persons based on multiple key facial factors and facial images of multiple authorized persons; The fingerprint information of similar authorized personnel is obtained through the fingerprint collection component.

[0024] For example, the feature difference value corresponding to the preset face factor can be calculated according to the following formula:

[0025] in, is the feature difference value corresponding to the i-th preset face factor, is the facial feature value of the i-th preset facial factor corresponding to the n-th authorized person, is the total number of authorized personnel.

[0026] A preset face factor whose feature difference value is greater than a feature difference value threshold may be used as a key face factor.

[0027] The facial similarity of two authorized persons can be calculated based on multiple key facial factors:

[0028] in, is the facial similarity between the i-th authorized person and the j-th authorized person, is the facial feature value of the mth key facial factor corresponding to the i-th authorized person, is the facial feature value of the mth key facial factor corresponding to the jth authorized person, is the total number of key face factors.

[0029] If there are two authorized persons whose face similarity is greater than the first face similarity threshold, then the two authorized persons are similar authorized persons.

[0030] In some embodiments, the controller controls the personnel information collection module to collect personnel information and perform identity recognition based on the personnel information, including: Based on multiple key facial factors, facial images of multiple authorized persons and fingerprint information of similar authorized persons, personnel information is collected and identity recognition is performed based on the personnel information.

[0031] Figure 2 is a schematic diagram of a process of performing identity recognition according to some embodiments of this specification, such as Figure 2As shown, in some embodiments, the controller collects personnel information based on multiple key facial factors, facial images of multiple authorized persons, and fingerprint information of similar authorized persons, and performs identity recognition based on the personnel information, including: For any two similar authorized persons, the facial feature similarity of the two similar authorized persons is determined based on multiple key facial factors. Specifically, the facial feature similarity of the two similar authorized persons is calculated in the same manner as the facial feature similarity of the two authorized persons, which will not be described in detail here. According to the similarity of facial features of any two similar authorized persons, similar authorized persons are grouped to determine the similar authorized person group. For example, a clustering algorithm may be used to group similar authorized persons according to the similarity of facial features of any two similar authorized persons to determine the similar authorized person group. For each similar authorized personnel group, based on multiple key facial factors and facial images of similar authorized personnel included in the similar authorized personnel group, determine the group facial features corresponding to the similar authorized personnel group. For example, for each key facial factor, the facial feature values ​​of the key facial factor corresponding to the similar authorized personnel included in the similar authorized personnel group may be averaged as the group facial feature value of the key facial factor corresponding to the similar authorized personnel group. The group facial features corresponding to the similar authorized personnel group may include the group facial feature values ​​of each key facial factor corresponding to the similar authorized personnel group. For any two non-similar authorized users, the facial feature similarity of the two non-similar authorized persons is determined based on multiple key facial factors. Specifically, the facial feature similarity of the two non-similar authorized users is calculated in the same manner as the facial feature similarity of the two authorized persons, which will not be described in detail here. According to the similarity of facial features of any two non-similar authorized persons, the non-similar authorized persons are grouped to determine the non-similar authorized person group. For example, a clustering algorithm may be used to group the non-similar authorized persons according to the similarity of facial features of any two non-similar authorized persons to determine the non-similar authorized person group. For each non-similar authorized personnel group, based on multiple key facial factors and facial images of non-similar authorized personnel included in the non-similar authorized personnel group, determine the group facial features corresponding to the non-similar authorized personnel group. For example, for each key facial factor, the facial feature values ​​of the key facial factor corresponding to the non-similar authorized personnel included in the non-similar authorized personnel group may be averaged as the group facial feature value of the key facial factor corresponding to the non-similar authorized personnel group. The group facial features corresponding to the non-similar authorized personnel group may include the group facial feature values ​​of each key facial factor corresponding to the non-similar authorized personnel group. Acquire a facial image of a person to be identified through an image acquisition component; Extracting facial features of the person to be identified from the facial image of the person to be identified based on multiple key facial factors, wherein the facial features of the person to be identified may include facial feature values ​​corresponding to each key facial factor extracted from the facial image of the person to be identified; Based on the group facial features corresponding to the similar authorized personnel group and the facial features of the person to be identified, it is determined whether there is a matching similar authorized personnel group. For example, the facial similarity between the similar authorized personnel group and the person to be identified can be calculated based on the group facial features corresponding to the similar authorized personnel group and the facial features of the person to be identified, and the similar authorized personnel group whose facial similarity is greater than the second facial similarity threshold is taken as the matching similar authorized personnel group; If so, the fingerprint information of the person to be identified is collected by the fingerprint collection component, and identity recognition is performed based on the facial features and fingerprint information of the person to be identified and the facial images and fingerprint information of the similar authorized persons included in the matched similar authorized persons group. For example, for each similar authorized person included in the matched similar authorized persons group, the facial similarity and fingerprint similarity between the similar authorized person and the person to be identified can be calculated, and the facial similarity and fingerprint similarity are weightedly summed to calculate the matching degree of the similar authorized person. If the matching degree of the similar authorized person is greater than the first matching degree threshold, the identity recognition is passed; If not, based on the facial features of the person to be identified and the group facial features corresponding to the non-similar authorized personnel group, a matching non-similar authorized personnel group is determined, and identity recognition is performed based on the facial features of the person to be identified and the facial images of the non-similar authorized personnel included in the matched non-similar authorized personnel group. For example, for each non-similar authorized person included in the matched non-similar authorized personnel group, the facial similarity between the non-similar authorized person and the person to be identified can be calculated as the matching degree of the non-similar authorized person. If the matching degree of the non-similar authorized person is greater than a second matching degree threshold, identity recognition is passed. If there is no matching non-similar authorized personnel group, or there is no non-similar authorized person with a matching degree greater than the second matching degree threshold, it is determined that the identity recognition has failed.

[0032] In some embodiments, the RFID identification module includes an RFID reader / writer, multiple circularly polarized antennas electrically connected to the RFID reader / writer, and multiple calibration electronic tags, wherein the multiple circularly polarized antennas are respectively arranged at different positions inside the storage structure, and the multiple calibration electronic tags are respectively arranged at different positions inside the storage structure.

[0033] A circularly polarized antenna is an antenna that can transmit or receive circularly polarized waves. The characteristic of circularly polarized waves is that their electric field vector rotates in a circular trajectory in the direction of propagation. This type of antenna is very useful for reducing multipath effects and improving the stability of signal reception.

[0034] An RFID tag is a small wireless device that contains a unique identifier and communicates with a reader via radio waves. When an RFID tag enters the reader's reading range, it can be activated and send its stored data.

[0035] The parameters of the RFID reader are shown in Table 1.

[0036] Table 1

[0037] The parameters of the circular polarization antenna are shown in Table 2.

[0038] Table 2

[0039] Figure 3 is a flow chart of determining the setting positions of multiple circularly polarized antennas and multiple calibration electronic tags according to some embodiments of this specification, such as Figure 3 As shown, in some embodiments, determining the setting positions of multiple circularly polarized antennas and multiple calibration electronic tags includes: Establish geometric models of electric doors and storage structures. Specifically, use CAD software or other 3D modeling tools to build accurate geometric models based on the actual size, shape and material properties of electric doors and storage structures; Determine multiple initial antenna setup plans. Specifically, based on the layout of the electric door and storage structure, preliminarily envision multiple possible circular polarization antenna installation locations. These plans can be based on experience, random, or generated by a preset algorithm; Establish an optimization objective function. Specifically, the optimization objective function is a key indicator to measure the quality of the antenna setting plan, including multiple factors such as signal coverage, signal strength, signal uniformity, tag reading rate, cost, etc. For each initial antenna setting scheme, a finite element analysis is performed based on the geometric model of the electric door and storage structure to generate the simulation analysis results corresponding to the initial antenna setting scheme. Based on the simulation analysis results corresponding to the initial antenna setting scheme and the optimization objective function, the objective function value corresponding to the initial antenna setting scheme is determined. Specifically, the correct material properties are assigned to different parts of the geometric model of the electric door and storage structure, especially the material of the antenna, which will affect its electromagnetic performance; the geometric model of the electric door and storage structure is meshed to ensure that the mesh in key areas (such as near the circularly polarized antenna and the expected coverage area) is fine enough to capture subtle changes in the electromagnetic field. According to the empirical criteria of finite element analysis, when at least two layers of mesh are covered at the maximum stress (in this analogy, the area with the largest change in electromagnetic field intensity), sufficiently accurate results can be obtained. The electromagnetic field boundary conditions are set according to the operating frequency and antenna type of the RFID reader. Use finite element analysis software to simulate the distribution and propagation of electromagnetic fields, which involves solving Maxwell's equations to calculate the electric and magnetic fields generated by circularly polarized antennas, so as to determine the signal blind spots corresponding to the initial antenna setting scheme, the signal strength at different locations, the overlapping areas of different circularly polarized antennas, etc. Based on the simulation analysis results and the optimization objective function, calculate the objective function value corresponding to each initial antenna setting scheme. This value reflects the comprehensive performance of the scheme in terms of signal coverage, strength, uniformity, etc.; Generate an optimal antenna setting scheme based on the objective function value corresponding to the initial antenna setting scheme through a genetic algorithm, wherein the optimal antenna setting scheme includes setting positions of multiple circularly polarized antennas; Based on the setting positions of the multiple circularly polarized antennas, the setting positions of the multiple calibration electronic tags are determined.

[0040] Specifically, the optimal antenna setting scheme can be generated according to the following process by using a genetic algorithm based on the objective function value corresponding to the initial antenna setting scheme: S11, Coding: First, each initial antenna setting scheme is encoded as an "individual", which is usually a string or array, where each element represents the position or parameter of an antenna.

[0041] For example, if we consider the position of an antenna on a two-dimensional plane, each individual could be an array containing two numbers, representing the x and y coordinates of the antenna.

[0042] S12. Initialize the population: A certain number of individuals are randomly generated to form an initial population, which represent different initial antenna setting schemes.

[0043] S13, calculate fitness: For each individual in the population, the corresponding objective function value is calculated using finite element analysis or other methods. This value is called the "fitness" of the individual.

[0044] The higher the fitness, the better the performance of the individual (i.e., the antenna setting scheme).

[0045] S14. Select: According to the fitness value, a part of individuals are selected from the population as "parents" to generate the next generation.

[0046] The selection strategy can be roulette selection, tournament selection, etc., the purpose of which is to make individuals with high fitness have a greater chance of being selected.

[0047] S15, Crossover: Perform a crossover operation on the selected parent individuals to generate new individuals (i.e., offspring).

[0048] The crossover operation can be a single-point crossover, a double-point crossover, etc. The purpose is to combine the excellent genes of the parent individuals to generate offspring individuals with higher fitness.

[0049] S16, mutation: Perform mutation operations on offspring individuals to introduce new genes (i.e. new antenna positions or parameters).

[0050] The mutation operation can be to randomly change the value of one or some genes in an individual, with the aim of increasing the diversity of the population and preventing premature convergence.

[0051] S17. Generate a new generation of population: The offspring individuals generated after selection, crossover and mutation operations form a new generation of population.

[0052] S18, Iteration: Steps S13 to S17 are repeated until a predetermined number of iterations is reached or the fitness of the best individual in the population is no longer significantly improved.

[0053] S19, decoding: The optimal individual finally obtained is decoded into an antenna setting scheme, that is, the specific installation positions of multiple circularly polarized antennas.

[0054] For example, the objective function could be:

[0055] in, is the objective function, and is the weight, and is the normalization parameter, is the size of the signal blind area, is the total number of circularly polarized antennas, The first The signal strength at each location, is the total number of locations within the sampled storage structure, The number of the positions inside the sampled storage structure whose corresponding circularly polarized antennas is less than 3 is the total number of positions, the corresponding circularly polarized antennas in the positions inside the sampled storage structure, i.e., the positions inside the sampled storage structure are circularly polarized antennas located within the coverage area, The total number of positions where the number of circularly polarized antennas corresponding to the sampled positions inside the storage structure is greater than 4.

[0056] In some embodiments, based on the setting positions of the multiple circularly polarized antennas, determining the setting positions of the multiple calibration electronic tags includes: Based on the geometric model of the electric door and storage structure and the optimal antenna setting scheme, finite element analysis is performed to generate simulation analysis results corresponding to the optimal antenna setting scheme; Based on the simulation analysis results corresponding to the optimal antenna setting scheme, multiple calibration electronic tag setting positions are determined, wherein the calibration electronic tag setting position is located within the coverage area of ​​at least three circularly polarized antennas, and the circularly polarized antennas corresponding to any two calibration electronic tag setting positions are at least partially different, wherein the circularly polarized antenna corresponding to the calibration electronic tag setting position is the circularly polarized antenna whose calibration electronic tag setting position is located within the coverage area. For example, the calibration electronic tag B1 corresponds to the circularly polarized antenna A1, the circularly polarized antenna A2, and the circularly polarized antenna A3, and the calibration electronic tag B2 corresponds to the circularly polarized antenna A4, the circularly polarized antenna A2, and the circularly polarized antenna A3.

[0057] The information of the incoming items can be determined based on the information on the RFID electronic tags on the incoming items, and then checked with the item information recorded in the item incoming task. If they are consistent, the incoming verification is passed. If they are inconsistent, the incoming verification fails and a prompt message is generated.

[0058] In some embodiments, the controller assigns the storage location, including: For each calibration electronic tag, obtain the real-time strength of the calibration tag signal emitted by the calibration electronic tag received by each circularly polarized antenna corresponding to the calibration electronic tag, and calculate the signal interference value corresponding to the calibration electronic tag according to the real-time strength and calibration strength of the calibration tag signal emitted by the calibration electronic tag received by each circularly polarized antenna corresponding to the calibration electronic tag, wherein the calibration strength is the strength of the calibration tag signal emitted by the calibration electronic tag received by the circularly polarized antenna when no items are stored inside the storage structure; Based on the signal interference value corresponding to each calibrated electronic tag, a storage location is allocated.

[0059] Specifically, the signal interference value corresponding to the calibrated electronic tag can be calculated according to the following formula:

[0060] in, is the signal interference value corresponding to the kth calibrated electronic tag, is the kth calibrated electronic tag corresponding to The calibration strength of the calibration tag signal transmitted by the kth calibration electronic tag received by the circularly polarized antenna, is the kth calibrated electronic tag corresponding to The real-time strength of the calibration tag signal transmitted by the kth calibration electronic tag received by the circularly polarized antenna, is the total number of circularly polarized antennas corresponding to the kth calibrated electronic tag.

[0061] It is understandable that the items stored in the storage structure may interfere with the RFID identification module. Therefore, an empty position can be selected from the area where the calibrated electronic tag with the smallest signal interference value is located as the storage location for the items to be stored.

[0062] The controller is used to receive the item outbound task issued by the warehouse management end, control the personnel information collection module to collect personnel information, and perform identity recognition based on the personnel information. After the identity recognition is passed, the electric door is controlled to open, and the items are outbound based on the item outbound task and the RFID recognition module.

[0063] Specifically, the storage location of the items that need to be shipped out corresponding to the item shipping task can be determined based on the historical inventory records, and the items can be shipped out based on the storage location of the items that need to be shipped out.

[0064] The controller is used to receive the item inventory task initiated by the warehouse management end, control the RFID identification module to read the information of the RFID electronic tags on the stored items, determine the storage location of the stored items, and perform item inventory.

[0065] Specifically include: For each stored item, based on the strength of the tag signal emitted by the RFID electronic tag on the stored item and received by each circularly polarized antenna, the circularly polarized antenna corresponding to the stored item is determined; based on the strength of the tag signal emitted by the RFID electronic tag on the stored item and received by the circularly polarized antenna corresponding to the stored item, the distance between the circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item is determined; based on the distance between each circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item, the storage position of the stored item is determined.

[0066] In some embodiments, determining the storage location of the stored item based on the distance between each circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item includes: Determine the calibration electronic tag corresponding to the stored item according to the circularly polarized antenna corresponding to the stored item, wherein the calibration electronic tag consistent with the circularly polarized antenna corresponding to the stored item can be used as the calibration electronic tag corresponding to the stored item; According to the calibrated distance between the calibrated electronic tag corresponding to the stored item and each circularly polarized antenna corresponding to the stored item, the distance between each circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item is corrected; The storage position of the stored object is determined according to the corrected distance between each circular polarization antenna corresponding to the stored object and the RFID electronic tag on the stored object.

[0067] Specifically, the distance between each circular polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item can be corrected by a distance correction model according to the calibrated distance between the calibrated electronic tag corresponding to the stored item and each circular polarized antenna corresponding to the stored item. The distance correction model can be a convolutional neural network model.

[0068] The location of the stored items in the warehouse or storage area can be determined by triangulation or other geometric positioning methods based on the corrected distance between each circularly polarized antenna corresponding to the stored items and the RFID electronic tag on the stored items.

[0069] In some embodiments, the intelligent radio frequency door with identity authentication and automatic inventory functions further includes a fault monitoring module disposed on the electric door, for collecting real-time operation information of the electric door; The controller is also used to determine the real-time operating status of the electric door based on the real-time operating information of the electric door.

[0070] Specifically, the fault monitoring module can monitor the operating status of the electric door in real time, including key parameters such as switch status, operating speed, current and voltage. Through built-in sensors or other data acquisition devices, the fault monitoring module can accurately collect various operating data of the electric door.

[0071] The real-time operation state of the electric door can be determined according to the real-time operation information of the electric door through the fault monitoring model, wherein the fault monitoring model can be a long short-term memory network model.

[0072] When a fault or abnormality is detected in the electric door, the fault monitoring module will promptly notify the management personnel through sound and light alarms, SMS alarms, etc.

[0073] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. Intelligent radio frequency door with identity authentication and automatic inventory function, characterized by: It includes an electric door arranged on a storage structure, a personnel information collection module arranged outside the storage structure, an RFID identification module and a controller arranged inside the storage structure; The controller is used to receive the item entry task issued by the warehouse management end, control the personnel information collection module to collect personnel information, and perform identity recognition based on the personnel information. After the identity recognition is passed, the electric door is controlled to open. After the items are entered into the warehouse, the RFID recognition module is controlled to read the information of the RFID electronic tags on the items entered into the warehouse, and the entry verification is performed according to the information of the RFID electronic tags on the items entered into the warehouse and the item entry task. After the entry verification is passed, the storage location is allocated, and the items are stored according to the storage location; The controller is used to receive the item outbound task issued by the warehouse management end, control the personnel information collection module to collect personnel information, and perform identity recognition based on the personnel information. After the identity recognition is passed, the electric door is controlled to open, and the items are outbound based on the item outbound task and the RFID recognition module: The controller is used to receive an item inventory task initiated by a warehouse management end, control the RFID identification module to read the information of the RFID electronic tags on the stored items, determine the storage location of the stored items, and perform item inventory.

2. The intelligent radio frequency door with identity authentication and automatic inventory function according to claim 1 is characterized in that: The personnel information collection module includes an image collection component and a fingerprint collection component; The controller is also used for: Acquire facial images of multiple authorized persons through the image acquisition component; Get multiple preset face factors; For each preset facial factor, determining a feature difference value corresponding to the preset facial factor based on facial images of multiple authorized persons; Determining a plurality of key facial factors from a plurality of preset facial factors according to a feature difference value corresponding to each preset facial factor; Determine similar authorized persons from among multiple authorized persons based on multiple key facial factors and facial images of multiple authorized persons; Obtain fingerprint information of similar authorized personnel through the fingerprint collection component; The controller controls the personnel information collection module to collect personnel information and perform identity recognition based on the personnel information, including: Based on multiple key facial factors, facial images of multiple authorized persons and fingerprint information of similar authorized persons, personnel information is collected and identity recognition is performed based on the personnel information.

3. The intelligent radio frequency door with identity authentication and automatic inventory function according to claim 2 is characterized in that: The controller collects personnel information based on multiple key facial factors, facial images of multiple authorized personnel, and fingerprint information of similar authorized personnel, and performs identity recognition based on the personnel information, including: For any two similar authorized persons, based on multiple key facial factors, determine the similarity of facial features of the two similar authorized persons; According to the similarity of facial features of any two similar authorized persons, similar authorized persons are grouped to determine a similar authorized person group; For each similar authorized personnel group, based on a plurality of key facial factors and facial images of similar authorized personnel included in the similar authorized personnel group, determine a group facial feature corresponding to the similar authorized personnel group; For any two non-similar authorized users, the similarity of facial features of the two non-similar authorized persons is determined based on multiple key facial factors; According to the similarity of facial features of any two non-similar authorized persons, the non-similar authorized persons are grouped to determine a non-similar authorized person group; For each non-similar authorized personnel group, determining a group facial feature corresponding to the non-similar authorized personnel group based on a plurality of key facial factors and facial images of the non-similar authorized personnel included in the non-similar authorized personnel group; Acquire a facial image of a person to be identified through the image acquisition component; Based on multiple key facial factors, extract facial features of the person to be identified from the facial image of the person to be identified; Based on the facial features of the group corresponding to the similar authorized personnel group and the facial features of the person to be identified, determining whether there is a matching similar authorized personnel group; If yes, the fingerprint information of the person to be identified is collected through the fingerprint collection component, and identity recognition is performed based on the facial features and fingerprint information of the person to be identified and the facial images and fingerprint information of similar authorized persons included in the matched group of similar authorized persons; If not, based on the facial features of the person to be identified and the facial features of the group corresponding to the non-similar authorized personnel group, determine the matching non-similar authorized personnel group, and perform identity recognition based on the facial features of the person to be identified and the facial images of the non-similar authorized personnel included in the matching non-similar authorized personnel group.

4. The intelligent radio frequency door with identity authentication and automatic inventory function according to any one of claims 1 to 3, characterized in that: The RFID identification module includes an RFID reader, multiple circularly polarized antennas electrically connected to the RFID reader, and multiple calibration electronic tags, wherein the multiple circularly polarized antennas are respectively arranged at different positions inside the storage structure, and the multiple calibration electronic tags are respectively arranged at different positions inside the storage structure.

5. The intelligent radio frequency door with identity authentication and automatic inventory function according to claim 4 is characterized in that: Determine the locations of multiple circularly polarized antennas and multiple calibration electronic tags, including: Establish geometric models of electric doors and storage structures; Identify various initial antenna setup options; Establish optimization objective function; For each initial antenna setting scheme, a finite element analysis is performed based on the geometric model of the electric door and the storage structure to generate a simulation analysis result corresponding to the initial antenna setting scheme, and based on the simulation analysis result corresponding to the initial antenna setting scheme and the optimization objective function, the objective function value corresponding to the initial antenna setting scheme is determined; Generate an optimal antenna setting scheme based on the objective function value corresponding to the initial antenna setting scheme through a genetic algorithm, wherein the optimal antenna setting scheme includes setting positions of multiple circularly polarized antennas; Based on the setting positions of the multiple circularly polarized antennas, the setting positions of the multiple calibration electronic tags are determined.

6. The intelligent radio frequency door with identity authentication and automatic inventory function according to claim 5 is characterized in that: Based on the setting positions of the multiple circularly polarized antennas, the setting positions of the multiple calibration electronic tags are determined, including: Based on the geometric model of the electric door and storage structure and the optimal antenna setting scheme, finite element analysis is performed to generate simulation analysis results corresponding to the optimal antenna setting scheme; Based on the simulation analysis results corresponding to the optimal antenna setting scheme, multiple calibration electronic tag setting positions are determined, wherein the calibration electronic tag setting positions are located within the coverage area of ​​at least three circularly polarized antennas, and the circularly polarized antennas corresponding to any two calibration electronic tag setting positions are at least partially different.

7. The intelligent radio frequency door with identity authentication and automatic inventory function according to claim 6 is characterized in that: The controller allocates storage locations, including: For each calibration electronic tag, obtain the real-time strength of the calibration tag signal transmitted by the calibration electronic tag received by each circularly polarized antenna corresponding to the calibration electronic tag, and calculate the signal interference value corresponding to the calibration electronic tag according to the real-time strength and calibration strength of the calibration tag signal transmitted by the calibration electronic tag received by each circularly polarized antenna corresponding to the calibration electronic tag; Based on the signal interference value corresponding to each calibrated electronic tag, a storage location is allocated.

8. The intelligent radio frequency door with identity authentication and automatic inventory function according to claim 5 is characterized in that: The controller controls the RFID identification module to read the information of the RFID electronic tag on the stored item to determine the storage location of the stored item, including: For each stored item, based on the strength of the tag signal emitted by the RFID electronic tag on the stored item and received by each circularly polarized antenna, the circularly polarized antenna corresponding to the stored item is determined; based on the strength of the tag signal emitted by the RFID electronic tag on the stored item and received by the circularly polarized antenna corresponding to the stored item, the distance between the circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item is determined; based on the distance between each circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item, the storage position of the stored item is determined.

9. The intelligent radio frequency door with identity authentication and automatic inventory function according to claim 8 is characterized in that: Determining the storage location of the stored object based on the distance between each circular polarization antenna corresponding to the stored object and the RFID electronic tag on the stored object includes: Determine the calibrated electronic tag corresponding to the stored item according to the circularly polarized antenna corresponding to the stored item; According to the calibrated distance between the calibrated electronic tag corresponding to the stored item and each circularly polarized antenna corresponding to the stored item, the distance between each circularly polarized antenna corresponding to the stored item and the RFID electronic tag on the stored item is corrected; The storage position of the stored object is determined according to the corrected distance between each circular polarization antenna corresponding to the stored object and the RFID electronic tag on the stored object.

10. The intelligent radio frequency door with identity authentication and automatic inventory function according to any one of claims 1 to 3, characterized in that: It also includes a fault monitoring module arranged on the electric door, which is used to collect real-time operation information of the electric door; The controller is also used to determine the real-time operating state of the electric door based on the real-time operating information of the electric door.

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