Identity recognition-based intelligent terminal storage cabinet storage system

Abstract

The application discloses an intelligent terminal storage cabinet storage system based on identity recognition and belongs to the technical field of identity verification systems, and comprises a collection module, a fusion module, a generation module, an establishment module, a verification module and a decryption module.The collection module is used for collecting the physical sign information of workers.The fusion module is used for performing multi-modal data fusion on the physical sign information.The generation module is used for performing chaotic mapping calculation on the fused physical sign information, generating ciphertext information and a corresponding key, and sending the key to a management system.The establishment module is used for establishing a mapping table and storing the mapping table into the management system.The verification module is used for performing joint verification on a worker to be verified, and opening a cabinet door storing a corresponding bracelet after verification.The decryption module is used for decrypting the ciphertext information, restoring the physical sign information, and judging whether the worker to be verified wears a bracelet.If yes, the construction entrance system is opened;otherwise, a triggering module is executed.The triggering module is used for triggering a bracelet abnormality alarm.The physical state of the worker is monitored, and the safety environment and management efficiency of an enterprise are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of identity authentication systems, and in particular relates to an intelligent terminal storage cabinet storage system based on identity recognition. Background Art

[0002] The construction site is where the actual construction and engineering work takes place, providing a practical working environment. The success of a project depends largely on the management and quality of the construction site. Proper construction site management ensures that projects are completed on time, on budget, and meet design and quality standards. Worker safety is a top priority, and the construction site must meet a series of safety standards and regulations to reduce the risk of accidents and injuries. Safety training, appropriate personal protective equipment, and safety signs and equipment are all important factors in ensuring worker safety. The construction site is also a key link in quality control. Strict monitoring and inspection ensure that the quality of the project meets standards. Efficient management of the construction site is crucial to the project schedule. Proper time planning and progress management can ensure that the project is completed on time, avoiding delays and additional costs.

[0003] For enterprises, how to manage a large number of workers is crucial. Effective management reduces the cost of unexpected expenses and the accurate execution of project schedules. In some construction scenarios, out of responsibility for the workers, workers are usually required to wear smart sensing bracelets. Smart sensing bracelets can not only collect information on the workers' physical and psychological status, but also track and alarm the workers' safety status, and realize dynamic safety monitoring of the construction process from the workers' perspective. However, existing technologies cannot combine storage cabinets with construction scenarios. In other words, it is impossible to determine the identity of workers entering the construction site.

[0004] Due to the lack of a systematic access method, current construction scenes require additional manpower and material resources to monitor the safety of workers. Excessive manual intervention leads to chaotic personnel management, low accuracy of worker safety monitoring, and inability to reasonably monitor and avoid accidents in construction scenes, affecting the company's construction progress and construction safety. Summary of the Invention

[0005] In order to solve the technical problems existing in the prior art, such as the lack of a systematic access method, the need to invest additional manpower and material resources to conduct safety monitoring of staff, excessive manual intervention leading to chaotic personnel management, low accuracy of staff safety monitoring, inability to reasonably monitor and avoid accidents in construction scenes, and affecting the construction progress and safety of enterprises, the present invention provides a smart terminal storage cabinet storage system based on identity recognition.

[0006] The present invention provides an identity recognition-based smart terminal storage cabinet storage system, which includes: a locker system, a construction entrance system, and a management system. The locker system includes an identity recognition device, a wristband removal device, and multiple lockers. The locker system is connected to the construction entrance system and the management system respectively. The wristband removal device is an electronic fence, which is used to issue a removal permit for wristbands within the electronic fence.

[0007] An acquisition module is used to collect the vital signs information of each staff member, wherein the vital signs information includes the vertical distance signal between the staff member's wrist and the horizontal plane in a walking posture, the staff member's normal blood oxygen signal, and the staff member's normal heart rate signal;

[0008] A fusion module is used to perform multimodal data fusion on vital sign information to obtain fused vital sign information;

[0009] The generation module is used to perform chaos mapping calculation on the fused vital sign information, generate the ciphertext information of each staff member and the key corresponding to the ciphertext information, and send the key to the management system;

[0010] Establish a module for establishing a mapping table between the staff member's badge number, ciphertext information and the hardware ID of the wristband, and store the mapping table in the management system;

[0011] The verification module is used to jointly verify the work badge number and facial image of the staff member to be verified through the identity recognition device. If the verification is passed, the cabinet door with the corresponding wristband stored in it is opened according to the mapping table;

[0012] The decryption module is used to decrypt the ciphertext information, restore the vital signs information, and determine whether the staff to be verified is wearing the wristband based on the feedback from the wristband. If so, the construction entrance system is opened to allow the staff to be verified to pass. Otherwise, the trigger module is executed;

[0013] The trigger module is used to trigger the abnormal alarm of the bracelet, wherein the abnormal alarm of the bracelet includes the wearer mismatch alarm and the wearer's physical condition abnormal alarm.

[0014] Compared with the prior art, the present invention has at least the following beneficial technical effects:

[0015] (1) In the present invention, based on the vital signs information of the staff, the vertical distance signal between the staff's wrist and the horizontal plane in a walking posture, the normal blood oxygen signal of the staff and the normal heart rate signal of the staff are combined as the basis of identity recognition data, and the three are fused using a multimodal data fusion method, and encrypted based on chaotic mapping, which greatly improves the calculation cost of data imitation, ensures the uniqueness and security of the data, and reduces the risk of cracking. In addition, it ensures that the wearers of the bracelet are correctly matched one by one, and conducts full-process monitoring to prevent internal or external personnel from tampering with their identities to make false clock-ins, and unrelated personnel from entering the construction site, which may cause safety hazards. In addition, the accuracy of the staff wearing the bracelet is ensured based on different body vertical distance signals, and the safety monitoring and analysis of the staff wearing the bracelet is carried out based on the pre-saved normal blood oxygen signal and normal heart rate signal of the staff to ensure the health and safety of the staff during work.

[0016] (2) In the present invention, by establishing a mapping table between the staff's work badge number, ciphertext information and the hardware ID of the wristband, the accuracy, uniqueness and system retrieval speed of personnel management information are greatly improved. In the construction entrance system, the staff is allowed to enter only after the physical sign information is verified. This not only effectively avoids the problem of the staff's health being endangered by abnormal physical condition, but also prevents unrelated personnel from entering the construction scene and causing man-made damage, ensuring the safety of the construction site, ensuring the orderly progress of the construction progress, and completing the monitoring of personnel safety and construction safety in an efficient and automated manner, reducing excessive manual intervention and unnecessary corporate expenditure in monitoring and management, and improving corporate competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The preferred embodiments will be described below in a clear and understandable manner with reference to the accompanying drawings to further illustrate the above-mentioned characteristics, technical features, advantages and implementation methods of the present invention.

[0018] Figure 1 This is a structural diagram of an intelligent terminal storage cabinet storage system based on identity recognition provided by the present invention;

[0019] Figure 2 This is a structural diagram of another smart terminal storage cabinet storage system based on identity recognition provided by the present invention. DETAILED DESCRIPTION

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the specific embodiments of the present invention will be described below with reference to the accompanying drawings. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings and other embodiments can be obtained based on these drawings without inventive work.

[0021] To simplify the drawings, only portions relevant to the invention are schematically depicted in each figure; they do not represent the actual structure of the product. Furthermore, to simplify the drawings and facilitate understanding, in some figures, only one component with the same structure or function is schematically depicted or labeled. In this document, "one" not only means "only one" but also "more than one."

[0022] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0023] It should be noted that, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be understood broadly. For example, they can refer to fixed connections, removable connections, or integral connections. They can also refer to mechanical connections or electrical connections. They can also refer to direct connections or indirect connections through an intermediary, or to internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in the present invention based on the specific circumstances.

[0024] In addition, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0025] In one embodiment, referring to Figure 1 , shows a schematic diagram of the structure of a smart terminal storage cabinet storage system based on identity recognition provided by the present invention. Figure 2 , showing a structural schematic diagram of another smart terminal storage cabinet storage system based on identity recognition provided by the present invention.

[0026] The present invention provides an identity recognition-based smart terminal storage cabinet storage system, the base system including: a locker system, a construction entrance system and a management system. The locker system includes an identity recognition device, a wristband disassembly device and multiple lockers. The locker system is connected to the construction entrance system and the management system respectively. The wristband disassembly device is an electronic fence, which is used to issue a disassembly permit to the wristband within the range of the electronic fence.

[0027] Reference Figure 1In real life, workers will change their clothes before entering the construction site, and each worker will be assigned a locker. The lockers in the present invention are used to store the belongings of designated personnel and the designated wristbands that need to be worn when entering and leaving the construction site. Wristbands must be worn when working and taken off when leaving get off work. The construction entrance system determines whether the identity of the worker meets the requirements through the parsed information of the management system to perform access or prohibition operations. The wristband disassembly device based on the electronic fence is a device that issues a disassembly permit to the wristband. When the wristband is within the range of the electronic fence, the wristband can be manually opened. If the wristband is not within the range, it is prohibited to open the wristband. This also ensures that the worker cannot disassemble the wristband without permission. The wristband can complete the physical status monitoring throughout the work process. When an abnormal situation occurs, it can be located and handled in time to ensure construction safety and reduce the incidence of accidents.

[0028] The intelligent terminal storage cabinet storage system based on identity recognition also includes:

[0029] The collection module 1 is used to collect the vital signs information of each staff member.

[0030] Among them, the vital sign information includes the vertical distance signal between the staff's wrist and the horizontal plane in a walking posture, the staff's normal blood oxygen signal and the staff's normal heart rate signal.

[0031] It should be noted that the collection module can use various sensors to obtain biometric information such as the worker's wrist position, blood oxygen level, and heart rate in advance. This information can be used for identity verification and to monitor the worker's physiological state. This information is used to bind the wristband to the designated worker, helping the system determine whether the worker is legally wearing the wristband and helping to monitor their health status. With the development of technology, the accurate collection of human vital signs is becoming increasingly simple, and most wristbands now have these functions integrated.

[0032] In a possible implementation, the acquisition module is specifically configured to:

[0033] S1011: placing a gyro sensor on a wrist and measuring a wrist angle using the gyro sensor, where the wrist angle is an angle of the wrist relative to a horizontal plane;

[0034] S1012: Based on the wrist angle, use the sine function to calculate the vertical distance between the wrist and the horizontal plane:

[0035] h=A*sinα

[0036] Where h represents the vertical distance, A represents the experimentally measured sine wave amplitude, and α represents the wrist angle;

[0037] S1013: synthesize the vertical distance into a vertical distance signal according to the time series;

[0038] S1014: Clipping the pulse oximeter sensor portion onto the worker's finger to measure and record oxygen saturation, thereby generating a normal blood oxygen signal of the worker;

[0039] S1015: Use a heart rate monitoring device to connect sensors or electrodes to the body of the worker, monitor and record the worker's heartbeat, and output the worker's normal heart rate signal.

[0040] It should be noted that monitoring workers' physiological signs such as vertical distance, blood oxygen saturation and heart rate plays an important role in health management and safety protection. Through these monitoring, the physiological status of workers can be understood in real time, abnormal conditions can be discovered in time, and it helps to prevent and deal with possible health problems. In addition, this monitoring can also improve workplace safety and ensure that workers participate in work when their health conditions permit, thereby improving work efficiency and safety levels.

[0041] The fusion module 2 is used to perform multimodal data fusion on the vital sign information to obtain fused vital sign information.

[0042] It should be noted that the purpose of the fusion module is to integrate or fuse vital sign information from different sources to obtain more comprehensive and reliable information, thereby achieving more accurate identity authentication or monitoring. Single vital sign information may be affected by various interference factors, making it unreliable. Fusion of multiple vital signs can reduce errors and uncertainties, thereby improving the accuracy of identity authentication or monitoring. Fusion of different vital signs can reduce the risk of misjudgment. For example, relying on only one vital sign for identity authentication can lead to incorrect decisions due to unique circumstances (such as physiological abnormalities or sensor failure). Fusion can improve the reliability of decisions. Fusion of multiple vital signs can increase the system's resistance to spoofing. Attackers may attempt to simulate or forge a single vital sign, but it is difficult to forge multiple vital signs simultaneously. Therefore, fusion can improve system security. Different individuals may have different physiological characteristics or exhibit different vital signs under different environmental conditions. Fusion of multiple vital signs can improve the system's adaptability by accounting for this diversity and individual differences. Fusion can provide more comprehensive information, helping to fully understand the worker's physical condition. For example, in addition to heart rate and blood oxygen level, wrist position information can provide information about the worker's activity level and location. By combining information from multiple sources, the system can gain a more complete picture of the worker's status.

[0043] In a possible implementation, the fusion module is specifically configured to:

[0044] S1021: Perform wavelet decomposition on the vertical distance signal, the normal blood oxygen signal, and the normal heart rate signal respectively to obtain corresponding wavelet coefficients.

[0045] In a possible implementation, S1021 specifically includes:

[0046] S1021A: Decompose the vertical distance signal, the normal blood oxygen signal, and the normal heart rate signal layer by layer, respectively, using the decomposition result of the previous layer as input to enter the decomposition of the next layer to obtain corresponding wavelet coefficients, wherein the wavelet coefficients include a first coefficient obtained by filtering with a low-pass filter and a second coefficient obtained by filtering with a high-pass filter. The wavelet coefficients are specifically:

[0047]

[0048]

[0049] Among them, a l [n] represents the first coefficient, d l [n] represents the binary coefficient, l represents the number of decomposition layers, g[k] and h[k] represent the low-pass filter and high-pass filter respectively, n represents the signal sampling point, and k represents the filter traversal coefficient.

[0050] Wavelet decomposition is a signal processing technique used to decompose complex signals into components of different scales in order to better understand and analyze the characteristics of the signal. It analyzes the signal using wavelet functions of different frequencies, thereby locally decomposing the signal in the time and frequency domains. The main purpose of wavelet decomposition is to decompose the original signal into components of different frequencies, which helps to better understand the characteristics of the signal in subsequent processing and may be beneficial for applications such as feature extraction, data compression, and noise removal. In this case, wavelet decomposition is used to process vertical distance signals, blood oxygen signals, and heart rate signals to obtain more information and features about these physiological signs.

[0051] S1022: Calculate the Fisher value of the wavelet coefficient of each vital sign information using the Fisher criterion, and then perform multimodal data fusion on the vital sign information to obtain fused vital sign information.

[0052] In a possible implementation, S1022 specifically includes:

[0053] S1022A: Calculate the Fisher value between each vital sign information using the Fisher criterion, i.e., the relative importance, to perform data dimensionality reduction on the wavelet coefficients of each vital sign information:

[0054]

[0055] Among them, F represents the Fisher value, I1 and I2 represent the number of experiments of the corresponding sign information, S represents the number of channels, and X si represents the wavelet coefficient obtained from the ith experiment of the sth channel, M si represents the average value of wavelet coefficients;

[0056] S1022B: Fusing the vital sign information according to the calculated Fisher value to obtain fused vital sign information:

[0057]

[0058] Among them, C represents the fused wavelet coefficient, that is, the fused vital sign information, C1, C2, and C3 represent the wavelet coefficients corresponding to each vital sign information, and F1, F2, and F3 represent the Fisher values ​​corresponding to each vital sign information.

[0059] Among them, the Fisher function is a statistical method used to evaluate the correlation and importance between data. In the present invention, the Fisher function is used to calculate the correlation between different vital signs information to determine their relative importance in the fused vital signs information. The goal of this process is to merge multiple vital signs information into a comprehensive fused vital signs information to more comprehensively describe the physiological state of the staff.

[0060] The generation module 3 is used to perform chaos mapping calculation on the fused vital sign information, generate the ciphertext information of each staff member and the key corresponding to the ciphertext information, and send the key to the management system.

[0061] It should be noted that the purpose of performing chaotic mapping calculations is to enhance data security and randomness. A chaotic mapping is a mathematically nonlinear dynamical system characterized by high sensitivity and randomness. By using chaotic mapping to convert raw fused biometric information into ciphertext, unauthorized access or attackers can be prevented from easily obtaining or deciphering sensitive biometric data, thereby enhancing data confidentiality. Chaotic mapping can generate highly random sequences, meaning the generated ciphertext is highly random and difficult to decipher or predict, helping to protect against various attacks, including cryptanalysis and replay attacks. Due to the high randomness of chaotic mapping, the generated key is also highly random and unpredictable, making it even more difficult to guess or crack. Chaotic mapping can be used to detect data tampering. Due to the characteristics of chaotic sequences, any unauthorized changes to the ciphertext will result in errors during decryption, thereby verifying data integrity. By combining the ciphertext generated by chaotic mapping with authentication-related data, the overall security of the system can be improved. Even if an attacker gains access to the ciphertext, it will be difficult to understand or decrypt the content.

[0062] In a possible implementation, the generating module is specifically configured to:

[0063] S1031: Randomly set initial parameters of the differential equation, where the initial parameters include initial coefficients and initial variables x0, y0, z0;

[0064] S1032: Under the conditions of the initial parameters, differential evolution is performed to obtain variable parameters. The specific evolution formula is:

[0065]

[0066]

[0067]

[0068] Among them, σ=10,ρ=28, represents the initial coefficient, x, y, z represent the variable parameters, and t represents the time independent variable;

[0069] S1033: Select variable parameter x i As a random sequence element, generate a random sequence R = [r1, r2, r3, ... r n ] as ciphertext information.

[0070] It should be noted that the generation module generates a random sequence through chaotic mapping calculation, which is used as ciphertext information. In this case, the key is the variable parameter generated by the chaotic mapping. The variable parameter is sent to the management system through an encrypted communication channel to decrypt the ciphertext information fed back by the bracelet.

[0071] Establish module 4, which is used to establish a mapping table between the staff member's work badge number, ciphertext information and the hardware ID of the wristband, and store the mapping table in the management system.

[0072] Among them, the work badge number usually includes numbers, letters, or a combination, and can be a unique employee identification. It is commonly used to identify employees, authorize employees to perform specific tasks, and record employees' activities and attendance. The hardware ID of a wristband is a unique identifier for the wristband device, usually a string of numbers or letters used to distinguish different wristband devices. Each wristband device has its own hardware ID, which is usually assigned or generated by the manufacturer to ensure the uniqueness of each wristband.

[0073] A mapping table is a data structure used to record and manage relationships between different types or data. It is typically a table or dataset containing key-value pairs, where the key is used to find and index the value. Through unique key-value pairs, it provides a structured and intuitive way to represent relationships between data, thereby improving data readability and maintainability. This flexible data management tool can be used in various application scenarios, including establishing relationships, indexing data, efficient retrieval, and convenient management, thus meeting the data management needs of authentication.

[0074] In a possible implementation, the establishment module is specifically used to:

[0075] S1041: Select one of the work badge number, ciphertext information, and the hardware ID of the wristband as the unique identifier of the hash key;

[0076] S1042: Create a hash function to map the hash key to the index of the hash table. The specific hash function is:

[0077] hash(key)=(a*key+b)%M

[0078] Where hash() represents a hash function, key represents a hash key, a and b represent adjustment constants, M represents the size of the hash table, and the symbol “%” represents a modulo operation.

[0079] S1043: Insert the remaining parameters after the selection into the hash table as key values ​​to obtain a hash table.

[0080] A hash table is a data structure that allows for efficient storage and retrieval of data items, providing fast data lookup and access. The core concept of a hash table is to enable fast data retrieval by associating data items with unique keys and then using a hash function to map these keys to specific storage locations (indexes). Mapping keys to index locations through hash functions enables fast data retrieval and storage, providing excellent performance and efficient data management capabilities.

[0081] The verification module 5 is used to jointly verify the work badge number and facial image of the staff to be verified through the identity recognition device. If the verification is passed, the cabinet door where the corresponding wristband is stored is opened according to the mapping table.

[0082] Specifically, the verification module first receives the ID number provided by the worker to be verified. The ID number serves as the worker's identification, used to identify them within the system. Simultaneously, the verification module also receives a facial image of the worker to be verified, which can be captured and analyzed using facial recognition technology. The verification module performs a joint verification, combining the ID number and facial image to ensure that the person providing the ID number actually matches the person in the facial image. This joint verification improves the accuracy and security of identity verification. Once the ID number and facial image are jointly verified, the verification module consults a previously established mapping table that associates the ID number with ciphertext information and the wristband's hardware ID. The verification module uses the ID number to look up the corresponding ID information and wristband's hardware ID for the worker. If the ID number is successfully verified and matches the corresponding ciphertext information and wristband's hardware ID, the verification module allows the door containing the corresponding wristband to be opened, ensuring that only authenticated workers can access their wristbands for further authentication or authorized work areas.

[0083] Decryption module 6 is used to decrypt the ciphertext information, restore the vital signs information, and determine whether the staff to be verified is wearing a wristband based on the feedback results of the wristband. If so, the construction entrance system is opened to release the staff to be verified. Otherwise, the trigger module is executed.

[0084] It should be noted that due to the consistent appearance of the bracelets, the correctness cannot be verified through video. Data comparison and verification are performed by analyzing the wearer's vital signs information with the vital signs information of the designated staff pre-stored in the bracelet to ensure the feasibility and accuracy of the verification.

[0085] Specifically, the decryption module uses the corresponding key (generated using a chaotic map) to decrypt the ciphertext, restoring the original vital information, including the vertical distance between the wrist and the horizontal plane, a normal blood oxygen level, and a normal heart rate. Once the vital information is successfully decrypted, the decryption module checks the wristband status to confirm whether the worker is wearing the wristband. Based on the decrypted vital information and the wristband's wearing status, the decryption module determines the worker's identity and current status. This includes confirming whether the worker is wearing the correct wristband device and whether the vital information matches the stored data. Based on the judgment result, the decryption module can perform two actions: 1. If the worker's identity is authenticated and the wristband is correctly worn, the decryption module will allow the construction entrance system to be opened, allowing the worker to enter the authorized area. 2. If the worker's identity is not authenticated or the wristband is incorrectly worn, the decryption module will execute the trigger module to implement appropriate security measures, such as triggering an abnormality alarm or prohibiting access.

[0086] It should be noted that the decryption module is not only responsible for restoring vital signs information, but also confirms the identity and status of the staff through interaction with the bracelet device. This multiple verification mechanism ensures the security of the system. Only staff who have passed the identity verification and are wearing the correct bracelet device can obtain access. If the authentication fails or the bracelet wearing status is incorrect, the system will take appropriate security measures to protect the safety of the workplace and the staff.

[0087] In a possible implementation, the decryption module is specifically configured to:

[0088] S1061: Decrypt the encrypted information using the key stored in the management system;

[0089] S1062: performing inverse wavelet transform on the decrypted fused vital sign information to generate initial vital sign information;

[0090] S1063: Determine whether the feedback result is within the range of each vital sign information. If so, the staff member to be verified is wearing the wristband normally. Send a designated message through the management system to open the construction entrance system and release the staff member to be verified.

[0091] Specifically, first, the key stored in the management system is used to decrypt the previously generated ciphertext information. The decrypted result is a portion of the fused vital signs information, which has undergone wavelet transform and now needs to be restored to the original vital signs information through inverse wavelet transform. Inverse wavelet transform is the inverse process of wavelet analysis, which is used to restore the original signal from the wavelet coefficients. The decrypted vital signs information will be used to verify whether the staff is wearing the bracelet. The signal of the bracelet sensor must be within a certain range to indicate that the bracelet is worn normally. If the decrypted vital signs information is within the required range, the system will assume that the staff is wearing the bracelet normally and can perform relevant operations to open the construction entrance system and allow the staff to pass. Ensuring that only qualified personnel can enter the construction site improves safety and management efficiency.

[0092] The trigger module 7 is used to trigger the abnormal alarm of the wristband, wherein the abnormal alarm of the wristband includes the wearer mismatch alarm and the wearer's physical condition abnormality alarm.

[0093] It should be noted that the task of the bracelet is to monitor the physical condition of the staff and to authenticate the identity of the staff entering the construction scene. In order to prevent the cause of the alarm from being unable to be confirmed after the alarm is issued, the wearer mismatch alarm and the wearer's abnormal physical condition alarm are set to obtain the cause of the alarm in a timely manner, and to implement corresponding processing measures in time to improve event handling efficiency.

[0094] In a possible implementation, the trigger module is specifically configured to:

[0095] S1071: When any one of the vertical distance signal, the normal blood oxygen signal, and the normal heart rate signal is not within the range of the vital sign information, it is determined that the staff member to be verified is not wearing the wristband normally;

[0096] S1072: When the feedback result is consistent with the vertical distance information but inconsistent with the normal blood oxygen signal and normal heart rate signal, an alarm of abnormal physical condition of the wearer is triggered;

[0097] S1073: When the feedback result does not match the vertical distance information, a wearer mismatch alarm is triggered.

[0098] It should be noted that when one of the vertical distance signals is consistent and the normal blood oxygen signal or normal heart rate signal is inconsistent, it can be determined that the designated person has a physical abnormality and can be checked in time to avoid safety risks and protect the physical safety of the staff. When the vertical distance signal is inconsistent, it means that an operation is triggered when a staff member is wearing a bracelet that does not match his or her identity. This situation may involve security or identity authentication issues. If the system detects that the bracelet worn by someone does not match his or her work badge number or identity, this may be a potential security threat or a sign of identity fraud. Therefore, the system triggers a mismatch alarm to notify relevant personnel to take appropriate actions, such as further identity authentication or safety checks, to ensure the safety and compliance of the workplace, which helps to improve the safety and supervision level of the workplace and prevent potential safety risks.

[0099] The management module 8 sets the access time threshold of the construction entrance system, manages the opening state of the construction entrance system, and executes the trigger module when the staff to be verified fails to enter within the access time threshold.

[0100] It is understandable that after wearing the wristband and passing the identity verification, some staff members may perform these operations just for the purpose of clocking in, and then remove the wristband at the wristband disassembly device after execution, thus failing to complete the monitoring task. By setting the access time threshold, staff members can be prevented from false clocking in.

[0101] It should be noted that those skilled in the art can set the size of the admission time threshold according to actual needs, and the present invention does not limit this.

[0102] Compared with the prior art, the present invention has at least the following beneficial technical effects:

[0103] (1) In the present invention, based on the vital signs information of the staff, the vertical distance signal between the staff's wrist and the horizontal plane in a walking posture, the normal blood oxygen signal of the staff and the normal heart rate signal of the staff are combined as the basis of identity recognition data, and the three are fused using a multimodal data fusion method, and encrypted based on chaotic mapping, which greatly improves the calculation cost of data imitation, ensures the uniqueness and security of the data, and reduces the risk of cracking. In addition, it ensures that the wearers of the bracelet are correctly matched one by one, and conducts full-process monitoring to prevent internal or external personnel from tampering with their identities to make false clock-ins, and unrelated personnel from entering the construction site, which may cause safety hazards. In addition, the accuracy of the staff wearing the bracelet is ensured based on different body vertical distance signals, and the safety monitoring and analysis of the staff wearing the bracelet is carried out based on the pre-saved normal blood oxygen signal and normal heart rate signal of the staff to ensure the health and safety of the staff during work.

[0104] (2) In the present invention, by establishing a mapping table between the staff's work badge number, ciphertext information and the hardware ID of the wristband, the accuracy, uniqueness and system retrieval speed of personnel management information are greatly improved. In the construction entrance system, the staff is allowed to enter only after the physical sign information is verified. This not only effectively avoids the problem of the staff's health being endangered by abnormal physical condition, but also prevents unrelated personnel from entering the construction scene and causing man-made damage, ensuring the safety of the construction site, ensuring the orderly progress of the construction progress, and completing the monitoring of personnel safety and construction safety in an efficient and automated manner, reducing excessive manual intervention and unnecessary corporate expenditure in monitoring and management, and improving corporate competitiveness.

[0105] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0106] The above embodiments merely illustrate several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be determined by the appended claims.

Claims

1. An intelligent terminal storage cabinet storage system based on identity recognition, characterized in that: The system includes: a locker system, a construction entrance system, and a management system. The locker system includes an identity recognition device, a wristband removal device, and multiple lockers. The locker system is connected to the construction entrance system and the management system respectively. The wristband removal device is an electronic fence, which is used to issue a removal permit for wristbands within the electronic fence. The smart terminal storage cabinet storage system also includes: a collection module, configured to collect vital sign information of each worker, wherein the vital sign information includes a vertical distance signal between the worker's wrist and a horizontal plane in a walking posture, a normal blood oxygen signal of the worker, and a normal heart rate signal of the worker; a fusion module, configured to perform multimodal data fusion on the vital sign information to obtain fused vital sign information; a generation module, configured to perform a chaotic mapping calculation on the fused vital sign information, generate the ciphertext information of each staff member and a key corresponding to the ciphertext information, and send the key to the management system; An establishment module is used to establish a mapping table between the staff member's work badge number, ciphertext information and the hardware ID of the wristband, and store the mapping table in the management system; A verification module, configured to perform a joint verification of the ID number and facial image of the staff member to be verified through the identity recognition device, and if the verification is successful, open the cabinet door where the corresponding wristband is stored according to the mapping table; A decryption module is used to decrypt the ciphertext information, restore the vital sign information, and determine whether the worker to be verified is wearing the wristband based on the feedback result of the wristband. If so, the construction entrance system is opened to allow the worker to be verified to pass; otherwise, the trigger module is executed; A trigger module is used to trigger an abnormal alarm of the wristband, wherein the abnormal alarm of the wristband includes an alarm of mismatch of the wearer and an alarm of abnormal physical condition of the wearer; The fusion module is specifically used for: S1021: Perform wavelet decomposition on the vertical distance signal, the normal blood oxygen signal, and the normal heart rate signal respectively to obtain corresponding wavelet coefficients: S1022: Calculating the Fisher value of the wavelet coefficient of each of the vital sign information using the Fisher criterion, and then performing multimodal data fusion on the vital sign information to obtain the fused vital sign information; The S1021 is specifically as follows: S1021A: Decompose the vertical distance signal, the normal blood oxygen signal, and the normal heart rate signal layer by layer, respectively, using the decomposition result of the previous layer as input to enter the decomposition of the next layer to obtain corresponding wavelet coefficients, wherein the wavelet coefficients include a first coefficient obtained by filtering with a low-pass filter and a second coefficient obtained by filtering with a high-pass filter, and the wavelet coefficients are specifically: Among them, a l [n] represents the first coefficient, d l [n] represents the two coefficients, l represents the number of decomposition layers, g[k] and h[k] represent the low-pass filter and the high-pass filter respectively, n represents the signal sampling point, and k represents the filter ergodic coefficient; The S1022 specifically includes: S1022A: Calculate the Fisher value, i.e., the relative importance, between each piece of the vital sign information using the Fisher criterion, so as to perform data dimensionality reduction on the wavelet coefficients of each piece of the vital sign information: Wherein, F represents the Fisher value, I1 and I2 both represent the number of experiments of the corresponding vital sign information, S represents the number of channels, X si represents the wavelet coefficient obtained from the ith experiment of the sth channel, M si represents the average value of wavelet coefficients; S1022B: Fusing the vital sign information according to the calculated Fisher value to obtain the fused vital sign information: Among them, C represents the fused wavelet coefficient, that is, the fused vital sign information, C1, C2, and C3 respectively represent the wavelet coefficients corresponding to each of the vital sign information, and F1, F2, and F3 respectively represent the Fisher values ​​corresponding to each of the vital sign information.

2. The identity recognition-based smart terminal storage cabinet storage system according to claim 1 is characterized in that: The acquisition module is specifically used for: S1011: placing a gyroscope sensor on the wrist, and measuring a wrist angle using the gyroscope sensor, wherein the wrist angle is an angle of the wrist relative to a horizontal plane; S1012: Calculate the vertical distance between the wrist and the horizontal plane using a sine function based on the wrist angle: h=A*sinα Wherein, h represents the vertical distance, A represents the experimentally measured sine wave amplitude, and α represents the wrist angle; S1013: synthesizing the vertical distances into a vertical distance signal in a time series; S1014: Clipping the pulse oximeter sensor portion onto the worker's finger to measure and record oxygen saturation, thereby generating a normal blood oxygen signal of the worker; S1015: Use a heart rate monitoring device to connect sensors or electrodes to the body of the worker, monitor and record the worker's heartbeat, and output a normal heart rate signal of the worker.

3. The smart terminal storage cabinet storage system based on identity recognition according to claim 1 is characterized in that: The generating module is specifically used for: S1031: Randomly set initial parameters of the differential equation, wherein the initial parameters include initial coefficients and initial variables x0, y0, z0; S1032: Under the condition of the initial parameters, differential evolution is performed to obtain variable parameters. The specific evolution formula is: Among them, σ=10,ρ=28, represents the initial coefficient, x, y, z represent the variable parameters, and t represents the time independent variable; S1033: Select variable parameter x i As a random sequence element, generate a random sequence R = [r1, r2, r3, ... r n ]…as the ciphertext information.

4. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 1 is characterized in that: The establishment module is specifically used for: S1041: Select one of the work badge number, the encrypted information, and the hardware ID of the wristband as a unique identifier of the hash key; S1042: Establish a hash function to map the hash key to an index of the hash table. The hash function is specifically: hash(key)=(a*key+b)%M Wherein, hash() represents the hash function, key represents the hash key, a and b represent adjustment constants, M represents the size of the hash table, and the symbol "%" represents a modulo operation; S1043: Insert the remaining parameters after selection into the hash table as key values ​​to obtain the hash table.

5. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 1 is characterized in that: The decryption module is specifically used for: S1061: Decrypting the ciphertext information using the key stored in the management system; S1062: performing inverse wavelet transform on the decrypted fused vital sign information to generate initial vital sign information; S1063: Determine whether the feedback result is within the range of each of the vital signs information. If so, the staff member to be verified is wearing the wristband normally, and send a designated message through the management system to open the construction entrance system to release the staff member to be verified.

6. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 1 is characterized in that: The trigger module is specifically used for: S1071: When any one of the vertical distance signal, the normal blood oxygen signal, and the normal heart rate signal is not within the range of the vital sign information, it is determined that the staff member to be verified is not wearing the wristband normally; S1072: triggering an alarm for abnormal physical condition of the wearer when the feedback result is consistent with the vertical distance information but inconsistent with the normal blood oxygen signal and the normal heart rate signal; S1073: When the feedback result does not match the vertical distance information, triggering an alarm that the wearer does not match.

7. The smart terminal storage cabinet storage system based on identity recognition according to claim 1 is characterized in that: Also includes: The management module sets an access time threshold for the construction entrance system, manages the opening state of the construction entrance system, and executes the trigger module when the staff to be verified fails to enter within the access time threshold.

Images