CN117315853A - Intelligent terminal storage cabinet storage system based on identity recognition - Google Patents

Abstract

The invention discloses an intelligent terminal storage cabinet storage system based on identity recognition, which belongs to the technical field of identity verification systems and comprises the following components: the acquisition module is used for acquiring the sign information of the staff; the fusion module is used for carrying out multi-mode data fusion on the sign information; the generation module is used for carrying out chaotic mapping calculation on the fusion sign information, generating ciphertext information and a corresponding key, and sending the key to the management system; the building module is used for building a mapping table and storing the mapping table in the management system; the verification module is used for carrying out joint verification on the staff to be verified, and the verification is carried out by opening the cabinet door stored with the corresponding bracelet; the decryption module is used for decrypting the ciphertext information, restoring the sign information, judging whether a worker to be verified wears a bracelet, if yes, opening a construction entrance system, and if not, executing the triggering module; the triggering module is used for triggering the abnormal alarm of the bracelet. And the physical state of the staff is monitored, so that the safety environment and the management efficiency of the enterprise are improved.

Description

An intelligent terminal storage cabinet storage system based on identity recognition

Technical field

The invention belongs to the technical field of identity verification systems, and specifically relates to an intelligent terminal storage cabinet storage system based on identity recognition.

Background technique

The construction scene is where the actual construction and engineering work takes place. It provides an actual working environment. The success of the project largely depends on the management and quality of the construction scene. Reasonable construction scene management can ensure that the project is on time and on time. Completed on budget and to design and quality standards. The safety of workers is the highest priority. Construction scenes must meet a range of safety standards and regulations to reduce the risk of accidents and injuries. Safety training, appropriate personal protective equipment, safety signs and equipment are all important factors in ensuring worker safety. . The construction scene is also a key link in quality control. Strict monitoring and inspection ensure that the quality of the project meets the standards. Efficient management of construction scenes is crucial to the schedule of engineering projects. Proper time planning and progress management can ensure that projects are completed on time and avoid delays and additional costs.

For enterprises, how to manage a large number of workers is crucial. The effectiveness of management reduces the company's unexpected expenditure costs and the accurate execution of project progress. In some construction scenarios, out of responsibility for the staff, the staff usually need to wear smart sensing bracelets. The smart sensing bracelets can not only collect the physiological and psychological status information of the workers, but also track the safety status of the workers. With alarms, from the perspective of workers, dynamic safety monitoring of the construction process is realized. However, the existing technology cannot combine the storage cabinet with the construction scene. In other words, the identity of the workers entering the construction site cannot be determined.

Due to the lack of systematic access methods in the current construction scene, additional manpower and material resources need to be invested in safety monitoring of workers. Excessive manual intervention leads to chaotic personnel management. The accuracy of safety monitoring of workers is low, and construction cannot be reasonably monitored and avoided. The occurrence of scene accidents affects the company's construction progress and construction safety.

Contents of the invention

In order to solve the lack of systematic access methods in the existing technology, additional manpower and material resources need to be invested in safety monitoring of staff. Excessive manual intervention leads to chaotic personnel management, low accuracy of staff safety monitoring, and inability to reasonably monitor and To avoid the occurrence of accidents in construction scenes and the technical problems that affect the construction progress and construction safety of enterprises, the present invention provides an intelligent terminal storage cabinet storage system based on identity recognition.

The invention provides an intelligent terminal storage cabinet storage system based on identity recognition. The system includes: a locker system, a construction entrance system and a management system. The locker system includes an identity recognition device, a bracelet disassembly device and multiple storage devices. Cabinets and locker systems are respectively connected to the construction entrance system and management system. Among them, the bracelet disassembly device is an electronic fence, which is used to issue disassembly permission for bracelets within the scope of the electronic fence;

The collection module is used to collect the physical sign information of each worker, where the physical sign information includes the vertical distance signal between the worker's wrist and the horizontal plane in the walking posture, the worker's normal blood oxygen signal, and the worker's normal heart rate signal;

The fusion module is used to fuse multi-modal data on physical signs information to obtain fused physical signs information;

The generation module is used to perform chaotic mapping calculations on the fused physical 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;

Establish a module to establish a mapping table between the employee's badge number, cipher text information and the hardware ID of the bracelet, and store the mapping table in the management system;

The verification module is used to jointly verify the work license number and facial image of the staff member to be verified through the identity recognition device. If the verification is passed, open the cabinet door storing the corresponding bracelet according to the mapping table;

The decryption module is used to decrypt the ciphertext information, restore the physical information, and judge whether the staff to be verified wears the bracelet based on the feedback results of the bracelet. If so, open the construction entrance system and release the staff to be verified. Otherwise, Execute trigger module;

The trigger module is used to trigger abnormal alarms of the bracelet, where the abnormal alarms of the bracelet include the wearer's mismatch alarm and the wearer's abnormal physical state alarm.

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

(1) In the present invention, based on the physical sign information of the worker, the vertical distance signal between the worker's wrist and the horizontal plane in the walking posture, the worker's normal blood oxygen signal and the worker's normal The heart rate signal is used as the basis of identity recognition data. Multi-modal data fusion method is used to fuse the three data, and it is encrypted based on chaotic mapping, which greatly increases the calculation cost of data forgery, ensures the uniqueness and security of the data, and reduces cracking. risk. This ensures that the wearers of the bracelets are correctly matched one by one, and the whole process is monitored to prevent internal or external personnel from tampering with their identities to falsely clock in, and causing potential safety hazards when unrelated personnel enter the construction site. In addition, based on different body vertical distance signals to ensure that the staff wearing the bracelet is accurate, based on the pre-saved normal blood oxygen signal and normal heart rate signal of the staff, safety monitoring and analysis of the staff wearing the bracelet is carried out to ensure that the staff is in the correct position. Health and safety at work.

(2) In the present invention, the accuracy, uniqueness and system retrieval speed of personnel management information are greatly improved by establishing a mapping table between the employee's business license number, cipher text information and the hardware ID of the bracelet. In the construction entrance system, workers are allowed to be released only if they have been verified by their physical information. This not only effectively avoids the health problems of workers who are working in abnormal physical conditions, but also prevents irrelevant personnel from entering the construction scene to cause artificial damage. conditions, ensure the safety of the construction site, ensure the orderly progress of the construction, complete the monitoring of personnel safety and construction safety in an efficient and automated manner, reduce excessive manual intervention in monitoring and management and unnecessary corporate expenditures, and enhance corporate competitiveness.

Description of drawings

The following will describe the preferred embodiments in a clear and easy-to-understand manner with reference to the accompanying drawings, and further explain the above-mentioned characteristics, technical features, advantages and implementation methods of the present invention.

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

Figure 2 is a schematic structural diagram of another smart terminal storage cabinet storage system based on identity recognition provided by the present invention.

Detailed ways

In order to explain the embodiments of the present invention or technical solutions in the prior art more clearly, the specific implementation modes of the present invention will be described below with reference to the accompanying drawings. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without exerting creative efforts, other drawings can also be obtained based on these drawings, and obtain Other embodiments.

In order to keep the drawings concise, only the parts related to the invention are schematically shown in each figure, and they do not represent the actual structure of the product. In addition, in order to make the drawings concise and easy to understand, in some drawings only one of the components having the same structure or function is schematically illustrated or labeled. In this article, "a" not only means "only one", but can also mean "more than one".

It will be further understood that the term "and/or" as used in the specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. .

In this article, it should be noted that, unless otherwise clearly stated and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense. For example, it can be a fixed connection or a detachable connection, or Connected in one piece. The connection can be mechanical or electrical. It can be directly connected, or it can be indirectly connected through an intermediary, or it can be an internal connection between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood on a case-by-case basis.

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

In one embodiment, referring to FIG. 1 , a schematic structural diagram of an intelligent terminal storage cabinet storage system based on identity recognition provided by the present invention is shown. Referring to FIG. 2 , a schematic structural diagram of another smart terminal storage cabinet storage system based on identity recognition provided by the present invention is shown.

The invention provides an intelligent terminal storage cabinet storage system based on identity recognition. The basic system includes: a locker system, a construction entrance system and a management system. The locker system includes an identity recognition device, a bracelet disassembly device and a plurality of storage cabinets. The lockers and locker systems are respectively connected to the construction entrance system and management system. Among them, the bracelet disassembly device is an electronic fence, which is used to issue disassembly permission to the bracelets within the scope of the electronic fence.

Referring to Figure 1, in real life, workers will change their clothes before entering the construction site. Each worker will be assigned a locker. The locker in the present invention is used to store the designated personnel's belongings and to enter and exit the construction site. A designated bracelet needs to be worn. The bracelet needs to be worn when going to work and taken off when leaving work. The construction entrance system uses the analysis information of the management system to determine whether the identity of the staff meets the requirements to perform access or prohibition operations. The electronic fence-based wristband The ring disassembly device is a device that issues disassembly permission to the bracelet. When the bracelet is within the range of the electronic fence, the bracelet can be opened manually. If the bracelet is not within this range, it is prohibited to open the bracelet, which also ensures that the staff If the bracelet is disassembled at will without permission, then the bracelet can complete the monitoring of physical status during the entire work period. When abnormal conditions occur, they can be located and dealt with in a timely manner to ensure construction safety and reduce the incidence of accidents.

The smart terminal storage cabinet storage system based on identity recognition also includes:

Collection module 1 is used to collect physical information of each staff member.

Among them, the physical sign information includes the vertical distance signal between the worker's wrist and the horizontal plane in the walking posture, the worker's normal blood oxygen signal and the worker's normal heart rate signal.

It should be noted that the collection module can obtain the staff's wrist position, blood oxygen level, heart rate and other biological information in advance through different sensors. This information can be used for identity verification and monitoring of the staff's physiological status. This information is used for binding. The bracelets and designated staff members help the system determine whether staff members are wearing the bracelets legally and help monitor their health status. With the development of science and technology, it is becoming easier and easier to accurately collect human body sign information, and most bracelets are integrated with these functions.

In a possible implementation, the collection module is specifically used to:

S1011: Place the gyro sensor on the wrist, and measure the wrist angle through the gyro sensor, where the wrist angle is the angle of the wrist relative to the horizontal plane;

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

h＝A*sinα

Among them, h represents the vertical distance, A represents the experimentally measured sine wave amplitude, and α represents the wrist angle;

S1013: Synthesize the vertical distance into a vertical distance signal in time sequence;

S1014: Clamp the pulse oximeter sensor part on the worker's finger to measure and record the oxygen saturation, and generate the worker's normal blood oxygen signal;

S1015: Use a heart rate monitoring instrument to connect the sensor or electrode to the worker's body, monitor and record the worker's heartbeat, and output the worker's normal heart rate signal.

It should be noted that monitoring physiological signs information such as vertical distance, blood oxygen saturation and heart rate of workers plays an important role in health management and safety assurance. Through these monitoring, the physiological status of workers can be understood in real time and abnormalities can be discovered in a timely manner. Helping to prevent and deal with possible health problems, this kind of monitoring can also improve workplace safety and ensure that workers can participate in work when their health conditions permit, thus improving work efficiency and safety levels.

Fusion module 2 is used to fuse multi-modal data on physical signs information to obtain fused physical signs information.

It should be noted that the purpose of the fusion module is to integrate or fuse physical information from different sources to obtain more comprehensive and reliable information, thereby achieving more accurate identity verification or monitoring goals. Single physical sign information may be affected by various interference factors, making it unreliable. Fusion of multiple physical sign information can reduce errors and uncertainties and improve the accuracy of identity verification or monitoring. Fusing different physical signs information can reduce the risk of misjudgment. For example, if you only rely on one kind of physical sign information for identity verification, it may lead to wrong decisions due to special circumstances (such as physiological abnormalities or sensor failures). Fusion can improve the reliability of decision-making. Fusion of multiple types of physical information can increase the system's resistance to deception. Attackers may try to simulate or forge a certain type of physical information, but it is difficult to forge multiple physical information at the same time, so fusion can improve the security of the system. Different individuals may have different physiological characteristics or show different physical signs under different environmental conditions. Fusion of multiple physical signs information can improve the adaptability of the system because it can take diversity and individual differences into account. Fusion can provide more comprehensive information that helps to fully understand the worker's physical state. 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 provide a more complete picture of a worker's status.

In a possible implementation, the fusion module is specifically used to:

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

In a possible implementation, S1021 is specifically:

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

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

Among them, wavelet decomposition is a signal processing technology used to decompose complex signals into components of different scales in order to better understand and analyze the characteristics of the signal. By using wavelet functions of different frequencies to analyze the signal, the signal is transformed into Local decomposition is performed in 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 to applications such as feature extraction, data compression, and noise removal. In this case, wavelet decomposition is used to process the vertical distance signal, blood oxygen signal, and heart rate signal to obtain more information and features about these physiological signs.

S1022: Use the Fisher criterion to calculate the Fisher value of the wavelet coefficient of each sign information, and then perform multi-modal data fusion on the sign information to obtain the fused sign information.

In a possible implementation, S1022 specifically includes:

S1022A: Use the Fisher criterion to calculate the Fisher value between each physical sign information, that is, the relative importance, to perform data dimensionality reduction on the wavelet coefficients of each physical sign information:

Among them, F represents the Fisher value, I ₁ and I ₂ both represent the number of experiments of the corresponding physical sign information, S represents the number of channels, X _si represents the wavelet coefficient obtained by the ith experiment of the s channel, and M _si represents the wavelet coefficient. average value;

S1022B: Fusion of physical signs information based on the calculated Fisher value to obtain fused physical signs information:

Among them, C represents the fused wavelet coefficient, that is, the fused sign information, C ₁ , C ₂ , and C ₃ respectively represent the wavelet coefficients corresponding to each sign information, and F ₁ , F ₂ , and F ₃ respectively represent the Fisher coefficients corresponding to each sign information. It's worth it.

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 physical signs information to determine their Fusing the relative importance of physical signs information, the goal of this process is to merge multiple physical signs information into a comprehensive fused physical signs information to more fully describe the physiological status of the worker.

Generation module 3 is used to perform chaotic mapping calculations on the fused physical 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.

It should be noted that the purpose of chaotic mapping calculation is to enhance the security and randomness of data. Chaos mapping is a mathematical nonlinear dynamic system characterized by high sensitivity and randomness. Through chaotic mapping, the original fused physical signs information is converted into ciphertext information, which can prevent unauthorized visitors or attackers from easily obtaining or interpreting sensitive biometric data, which increases the confidentiality of the data. Chaos mapping can generate highly random sequences, which means that the generated ciphertext information is highly random and difficult to crack or predict, which helps resist various attacks, including cryptanalysis and replay attacks. Due to the high degree of randomness of chaotic mapping, the generated keys are also highly random and unpredictable, making the keys more difficult to guess or crack. Chaos mapping can be used to detect whether data has been tampered with. Due to the characteristics of chaotic sequences, any unauthorized changes to ciphertext information will cause errors during decryption, thereby detecting data integrity. By combining the ciphertext information generated by chaos mapping with authentication-related data, the overall security of the system can be improved. Even if an attacker has access to the ciphertext information, it will be difficult to understand or decrypt its contents.

In a possible implementation, the generation module is specifically used for;

S1031: Randomly set the initial parameters of the differential equation, where the initial parameters include initial coefficients and initial variables x ₀ , y ₀ , z ₀ ;

S1032: Under the conditions of initial parameters, perform differential evolution to obtain variable parameters. The evolution formula is specifically:

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

S1033: Select the variable parameter x _i as a random sequence element, and generate a random sequence R = [r ₁ , r ₂ , r ₃ ,... _rn ] as the ciphertext information.

It should be noted that the generation module generates a random sequence through chaos mapping calculation, which is used as the ciphertext information, and the key in this case is the variable parameter generated by the chaos mapping, and the variable parameter is sent to The management system decrypts the ciphertext information fed back by the bracelet.

The establishment module 4 is used to establish a mapping table between the employee's business license number, cipher text information and the hardware ID of the bracelet, and store the mapping table in the management system.

Among them, the business license number usually includes numbers, letters or combinations and can be a unique employee identity certificate. It is commonly used to identify employees, authorize employees to perform specific tasks, and record employee activity and attendance. The hardware ID of the bracelet is the unique identifier of the bracelet device, usually a string of numbers or letters, used to distinguish different bracelet devices. Each bracelet device has its own hardware ID. This ID is usually manufactured by Quotient allocation or generation ensures the uniqueness of each bracelet.

Among them, a mapping table is a data structure used to record and manage relationships between different types or different data. It is usually a table or data set that contains key-value pairs, where the keys are used to find and index value. Through unique key-value pair relationships, it provides a structured and intuitive way to represent the relationships between data, thereby improving data readability and maintainability. This flexible data management tool can be used in various Various application scenarios include establishing relationships, indexing data, efficient retrieval, and convenient management to meet the data management needs of identity authentication.

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

S1041: Select one of the industrial license plate number, ciphertext information and the hardware ID of the bracelet as the unique identifier of the hash key;

S1042: Establish a hash function and map the hash key to the index of the hash table. The hash function is specifically:

hash(key)=(a*key+b)%M

Among them, 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 the modulo operation;

S1043: Insert the remaining parameters after selection into the hash table as key values to obtain the hash table.

Among them, a hash table is a data structure that allows the process of storing and retrieving data items to be efficient, and provides fast data search and access capabilities. The core idea of a hash table is to combine data items with unique Keys are associated and then a hash function is used to map these keys to specific storage locations (indexes), allowing for fast data retrieval. Keys are mapped to index locations through hash functions, enabling fast data retrieval and storage, providing excellent performance and efficient data management capabilities.

The verification module 5 is used to jointly verify the work license number and facial image of the staff member to be verified through the identity recognition device. If the verification is passed, open the cabinet door storing the corresponding bracelet according to the mapping table.

Specifically, first, the verification module receives the business license number provided by the staff member to be verified. The business license number is the identity of the staff member and is used to identify their identity in the system. At the same time, the verification module also needs to receive the facial image of the worker to be verified, which can be captured and analyzed through facial recognition technology. The verification module performs joint verification, combining the work license number and the facial image to ensure that the person providing the job license number does indeed match the person in the facial image. This joint verification can improve the accuracy and security of identity verification. Once the work badge number and facial image are jointly verified, the verification module will query the previously established mapping table. This mapping table will associate the work badge number with the ciphertext information and the hardware ID of the bracelet. The verification module uses the work badge number to find the corresponding job. The person’s secret information and bracelet hardware ID. The business license number is verified and matched with the corresponding cipher text information and bracelet hardware ID. The verification module allows the cabinet door containing the corresponding bracelet to be opened, ensuring that only authenticated staff can obtain their bracelets for further processing. Authentication or access to authorized work areas.

The decryption module 6 is used to decrypt the ciphertext information, restore the physical information, and judge whether the staff to be verified wears the bracelet based on the feedback results of the bracelet. If so, open the construction entrance system and release the staff to be verified. Otherwise , execute the trigger module.

It should be noted that since the appearance of the bracelet is consistent, the correctness cannot be verified through video. By analyzing the wearer's physical information and the physical information of the designated staff member pre-stored in the bracelet, data comparison verification is performed to ensure the feasibility and accuracy of the verification.

Specifically, the decryption module uses the corresponding key (key generated based on chaotic mapping calculation) to decrypt the ciphertext information, which will restore the original physical information, including the vertical distance signal between the wrist and the horizontal plane, normal blood oxygen signal and normal heart rate signal. Once the physical sign information is successfully decrypted, the decryption module will check the status of the bracelet to confirm whether the staff member is wearing the bracelet. The decryption module determines the identity and current status of the staff based on the decrypted physical information and the wearing status of the bracelet. This includes confirming whether the staff is wearing the correct bracelet device and whether the physical information matches the stored data. Based on the judgment results, the decryption module can perform the following two operations: 1. If the identity verification of the staff member passes and the bracelet is worn correctly, the decryption module will allow the construction entrance system to be opened to release the staff member into the authorized area. 2. If the identity verification of the staff member fails, or the wearing status of the bracelet is incorrect, the decryption module will execute the trigger module and implement corresponding security measures, such as triggering an abnormal alarm or prohibiting access.

It should be noted that the decryption module is not only responsible for restoring physical 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 identity verification and The correct bracelet device must be worn to gain access. If authentication fails or the bracelet is not worn correctly, the system will take appropriate security measures to protect the workplace and the safety of the workers.

In a possible implementation, the decryption module is specifically used to:

S1061: Decrypt the ciphertext information through the key stored in the management system;

S1062: Perform inverse wavelet transform on the decrypted fused physical sign information to generate initial physical sign information;

S1063: Determine whether the feedback result is within the range of each physical sign information. If so, the staff to be verified wears the bracelet normally, and the designated opening construction entrance system is sent through the management system to release the staff to be verified.

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

The triggering module 7 is used to trigger abnormality alarms of the bracelet, where the abnormality alarms of the bracelet include the wearer's mismatch alarm and the wearer's abnormal physical state alarm.

It should be noted that the task of the bracelet is to monitor the physical status of workers and authenticate workers 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 does not match the alarm and the wearer. Abnormal physical status alarms can be used to obtain the cause of the alarm in a timely manner and implement corresponding processing measures in a timely manner to improve event processing efficiency.

In a possible implementation, the trigger module is specifically used to:

S1071: When any one of the vertical distance signal, normal blood oxygen signal and normal heart rate signal is not within the range of physical sign information, it is judged that the staff to be verified is not wearing the bracelet normally;

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, the abnormal physical status alarm of the wearer is triggered;

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

It should be noted that if the vertical distance signals are consistent and one of the normal blood oxygen signals or normal heart rate signals does not match, it can be determined that the designated person is physically abnormal, and they can be checked in time to avoid safety risks. Protect the physical safety of staff. When inconsistent vertical distance signals are detected, it indicates that an operation is triggered when a staff member is wearing a bracelet that does not match his identity. This situation may involve security or identity authentication issues. If the system detects that someone is wearing a bracelet, The bracelet does not match its business license number or identity, which may be a sign of a potential security threat or identity impersonation. Therefore, the system triggers a mismatch alert to notify relevant personnel to take appropriate action, such as further identity verification or security checks. To ensure workplace safety and compliance, this helps improve workplace safety and supervision, as well as prevent potential safety risks.

The management module 8 sets the access duration threshold of the construction entrance system, manages the opening status of the construction entrance system, and executes the trigger module when the staff to be verified does not enter within the access duration threshold.

It is understandable that after wearing the bracelet and passing the identity verification, some staff may perform these operations just because of punching in, and then remove the bracelet at the bracelet disassembly device. In this way, the monitoring task cannot be completed. By setting the access time threshold, you can prevent staff from falsely clocking in.

It should be noted that those skilled in the art can set the size of the access duration threshold according to actual needs, and the present invention is not limited here.

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

(1) In the present invention, based on the physical sign information of the worker, the vertical distance signal between the worker's wrist and the horizontal plane in the walking posture, the worker's normal blood oxygen signal and the worker's normal The heart rate signal is used as the basis of identity recognition data. Multi-modal data fusion method is used to fuse the three data, and it is encrypted based on chaotic mapping, which greatly increases the calculation cost of data forgery, ensures the uniqueness and security of the data, and reduces cracking. risk. This ensures that the wearers of the bracelets are correctly matched one by one, and the whole process is monitored to prevent internal or external personnel from tampering with their identities to falsely clock in, and causing potential safety hazards when unrelated personnel enter the construction site. In addition, based on different body vertical distance signals to ensure that the staff wearing the bracelet is accurate, based on the pre-saved normal blood oxygen signal and normal heart rate signal of the staff, safety monitoring and analysis of the staff wearing the bracelet is carried out to ensure that the staff is in the correct position. Health and safety at work.

(2) In the present invention, the accuracy, uniqueness and system retrieval speed of personnel management information are greatly improved by establishing a mapping table between the employee's business license number, cipher text information and the hardware ID of the bracelet. In the construction entrance system, workers are allowed to be released only if they have been verified by their physical information. This not only effectively avoids the health problems of workers who are working in abnormal physical conditions, but also prevents irrelevant personnel from entering the construction scene to cause artificial damage. conditions, ensure the safety of the construction site, ensure the orderly progress of the construction, complete the monitoring of personnel safety and construction safety in an efficient and automated manner, reduce excessive manual intervention in monitoring and management and unnecessary corporate expenditures, and enhance corporate competitiveness.

The technical features of the above embodiments can be combined in any way. To simplify the description, 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, all possible combinations should be used. It is considered to be within the scope of this manual.

The above embodiments only express several embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the scope of protection of the patent of the present invention should be determined by the appended claims.

Claims (10)

1. Intelligent terminal cabinet storage system based on identification, its characterized in that, the system includes: the system comprises a locker system, a construction entrance system and a management system, wherein the locker system comprises an identity recognition device, a bracelet disassembling device and a plurality of lockers, the locker system is respectively connected with the construction entrance system and the management system, the bracelet disassembling device is an electronic fence and is used for sending disassembly permission to a bracelet within the range of the electronic fence; the intelligent terminal storage cabinet storage system further comprises:

the acquisition module is used for acquiring physical sign information of each worker, wherein the physical sign information comprises a vertical distance signal between a wrist and a horizontal plane of the worker in a walking posture, a normal blood oxygen signal of the worker and a normal heart rate signal of the worker;

the fusion module is used for carrying out multi-mode data fusion on the physical sign information to obtain fusion physical sign information;

the generation module is used for carrying out chaotic mapping calculation on the fusion sign information, generating ciphertext information of each worker and a secret key corresponding to the ciphertext information, and sending the secret key to the management system;

the building module is used for building a mapping table among the number of the work personnel, the ciphertext information and the hardware ID of the bracelet, and storing the mapping table into the management system;

the verification module is used for carrying out joint verification on the license plate number and the facial image of the staff to be verified through the identity recognition device, and opening a cabinet door storing the corresponding bracelet according to the mapping table under the condition that verification is passed;

the decryption module is used for decrypting the ciphertext information, restoring the sign information, judging whether the staff to be verified wears the bracelet or not according to the feedback result of the bracelet, if yes, opening the construction entrance system, releasing the staff to be verified, and if not, executing the triggering module;

the triggering module is used for triggering the abnormal alarm of the bracelet, wherein the abnormal alarm of the bracelet comprises an alarm of unmatched wearing personnel and an abnormal alarm of the physical state of the wearing personnel.

2. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 1, wherein the acquisition module is specifically configured to:

s1011: placing a gyro sensor on the wrist and measuring a wrist angle by the gyro sensor, wherein the wrist angle is an angle of the wrist relative to a horizontal plane;

s1012: from the wrist angle, a perpendicular distance between the wrist and the horizontal plane is calculated using a sine function:

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 distance signal from the vertical distance signal in time sequence;

s1014: clamping a sensor part of a pulse oxygen saturation meter on a finger of a worker to measure and record the oxygen saturation, and generating a normal blood oxygen signal of the worker;

s1015: and connecting the sensor or the electrode to the body of the staff by using a heart rate monitoring instrument, monitoring and recording the heartbeat of the staff, and outputting a normal heart rate signal of the staff.

3. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 1, wherein the fusion module is specifically configured to:

s1021: and respectively carrying out wavelet decomposition on the vertical distance signal, the normal blood oxygen signal and the normal heart rate signal to obtain corresponding wavelet coefficients:

s1022: calculating the Fisher value of the wavelet coefficient of each sign information by using Fisher criterion, and further carrying out multi-mode data fusion on the sign information to obtain the fused sign information.

4. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 3, wherein the step S1021 is specifically:

S1021A: respectively carrying out layer-by-layer decomposition on the vertical distance signal, the normal blood oxygen signal and the normal heart rate signal, taking the decomposition result of the previous layer as input, and entering the decomposition of the next layer to obtain corresponding wavelet coefficients, wherein the wavelet coefficients comprise 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 as follows:

wherein a is _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 ]]And respectively representing the low-pass filter and the high-pass filter, wherein n represents a signal sampling point, and k represents a filter traversing coefficient.

5. The intelligent terminal storage cabinet storage system based on identification as claimed in claim 3, wherein the step S1022 specifically comprises:

S1022A: calculating a fisher value, namely a relative importance degree, between the physical sign information by using the fisher criterion so as to perform data dimension reduction on wavelet coefficients of the physical sign information:

wherein F represents the Fisher value, I ₁ And I ₂ The number of experiments of the corresponding sign information is represented, S represents the number of channels and X _si Representing the wavelet coefficient obtained by the ith experiment of the s-th channel, M _si Representing a wavelet coefficient average;

S1022B: fusing the physical sign information according to the calculated Fisher value to obtain the fusion physical sign information:

wherein C represents the wavelet coefficient after fusion, namely the fusion sign information, C ₁ ,C ₂ ,C ₃ Respectively representing wavelet coefficients corresponding to the physical sign information, F ₁ ,F ₂ ,F ₃ And respectively representing the Fisher value corresponding to each piece of the physical sign information.

6. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 1, wherein the generating module is specifically configured to;

s1031: randomly setting initial parameters of differential equation, wherein the initial parameters comprise initial coefficients and initial variables x ₀ ,y ₀ ,z ₀ ；

S1032: under the condition of the initial parameters, differential evolution is carried out to obtain variable parameters, and an evolution formula is specifically as follows:

wherein, σ=10, ρ=28,representing the initial coefficient, x, y and z represent the variable parameter, and t represents a time independent variable;

s1033: selecting a variable parameter x _i As random sequence elements, a random sequence r= [ R ] is generated ₁ ,r ₂ ,r ₃ ,…r _n ]As the ciphertext information.

7. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 1, wherein the establishing module is specifically configured to:

s1041: selecting one of the license plate number, the ciphertext information and the hardware ID of the bracelet as a unique identifier of a hash key;

s1042: establishing a hash function, and mapping the hash key to an index of a hash table, wherein the hash function specifically comprises the following steps:

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 symbol "%" represents modulo operation;

s1043: and inserting the parameters left after the selection into the hash table as key values to obtain the hash table.

8. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 1, wherein the decryption module is specifically configured to:

s1061: decrypting the ciphertext information through a key stored by the management system;

s1062: performing inverse wavelet transformation on the decrypted fusion sign information to generate initial sign information;

s1063: and judging whether the feedback result is in the range of each sign information, if so, enabling the staff to be verified to wear the bracelet normally, sending a designated opening construction entrance system through the management system, and releasing the staff to be verified.

9. The intelligent terminal storage cabinet storage system based on identity recognition according to claim 1, wherein the triggering module is specifically configured to:

s1071: when any one of the vertical distance signal, the normal blood oxygen signal and the normal heart rate signal is not in the range of the sign information, judging that the staff to be verified does not wear the bracelet normally;

s1072: triggering an abnormal alarm of the physical state of the wearer under the condition that the feedback result accords with the vertical distance information and does not accord with the normal blood oxygen signal and the normal heart rate signal;

s1073: and triggering the mismatch alarm of the wearer under the condition that the feedback result is not consistent with the vertical distance information.

10. The identification-based intelligent terminal storage cabinet storage system of claim 1, further comprising:

the management module is used for setting an admission duration threshold of the construction entrance system, managing the opening state of the construction entrance system, and executing the triggering module when the staff to be verified does not enter in the admission duration threshold.