Cabinet door state safety management and control method and system based on Internet of Things and data interaction

Abstract

The invention discloses a cabinet door state safety management and control method and system based on the Internet of Things and data interaction, and relates to the technical field of industrial Internet of Things. The method comprises the following steps: collecting door state, environment and identity authentication data through multi-sensor fusion and carrying out preprocessing; after being encrypted, the data are safely transmitted through intelligent routing selection; the received data are verified and analyzed, and intelligent decision making and global state synchronization are carried out based on a multi-factor permission model; and accurately controlling the door lock according to the decision instruction, updating state indication, executing graded alarm, and collecting feedback data to optimize the system. The system comprises a state sensing module, a data transmission module, a central processing platform and an intelligent control module. According to the invention, the closed-loop control of the cabinet door state from physical perception to intelligent execution is realized, the problems of untimely state synchronization, extensive authority management and response lag are solved, and the safety, real-time performance and reliability of cabinet management are improved.

Description

Technical Field

[0001] This invention relates to the field of industrial Internet of Things (IoT) and intelligent operation and maintenance technology, and in particular to a method and system for security management of cabinet door status based on IoT and data interaction, which is applicable to industrial scenarios requiring high security management, such as substations, data centers, and communication equipment rooms. Background Technology

[0002] Currently, in industrial settings, server racks serve as core infrastructure housing critical equipment (such as power control modules, servers, and communication base station equipment). Access control management is crucial for ensuring equipment security, data integrity, and orderly operation and maintenance. Existing rack door management solutions mainly fall into two categories: traditional mechanical lock management, relying on physical keys for opening and closing, is the mainstream solution in some small and medium-sized industrial scenarios; the other is electronic access control, using electronic locks, card swiping, or password authentication for management and control, and is gradually being adopted in medium and large-sized substations, data centers, and other scenarios. Both solutions revolve around the core requirement of physical protection for server racks, but with the development of the Industrial Internet of Things and the increasing demands for refined operation and maintenance, the adaptability of existing solutions is gradually becoming insufficient.

[0003] Existing technologies suffer from several significant drawbacks, which directly impact the security and efficiency of cabinet management in practical applications: First, status information is isolated. Traditional mechanical locks cannot synchronize the physical status of cabinet doors (such as open / closed or half-open) to the remote management system in real time. While electronic access control can monitor the status, the synchronization delay generally exceeds 10 seconds, preventing managers from grasping the actual status of the cabinet doors in real time and easily leading to untimely detection of anomalies. Second, access control is rudimentary. Traditional physical key authorization cannot achieve one person, one right, or one right at one time, posing risks of key duplication and misuse. Electronic access control often uses a single card swipe or... Password authentication lacks the correlation verification between biometric features (fingerprints, faces) and location and time, resulting in insufficient precision in access control; thirdly, the response mechanism is lagging behind, traditional solutions lack anomaly detection capabilities, electronic access control can only trigger alarms after unauthorized opening, and there is no tiered early warning strategy, security incidents are often dealt with only after the fact, making it impossible to avoid risks in advance; fourthly, the operation and maintenance efficiency is low, from the issuance of operation and maintenance tasks and on-site authorization of personnel to the statistics of operation records, the entire process relies on manual participation, which not only results in high management costs (according to statistics, manual operation and maintenance costs account for more than 60% of the total cost of cabinet management), but also makes it easy to make operation and maintenance traceability difficult due to human error in recording.

[0004] Based on the aforementioned deficiencies, the current field of rack door management urgently needs to address four core technical issues: First, how to break down information silos and achieve millimeter-level precision monitoring and second-level remote synchronization of the physical status of rack doors, allowing managers to monitor rack door dynamics in real time; Second, how to build a refined access control system that combines personnel identity, operation time, and rack location for multi-dimensional verification to prevent unauthorized access and unauthorized operations; Third, how to establish a proactive early warning mechanism that uses real-time analysis of environmental and status data to identify anomalies (such as half-open doors or excessive ambient temperature) in advance and respond in stages to prevent security incidents; Fourth, how to simplify maintenance processes, reduce manual intervention, lower management costs, and improve the accuracy of maintenance traceability through automation and intelligent technologies, meeting the comprehensive needs of industrial scenarios for secure, real-time, and efficient rack management. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for security management of cabinet door status based on the Internet of Things and data interaction, which solves the problems of untimely status synchronization, inaccurate security management, and lagging response mechanism in the prior art.

[0006] To achieve the above objectives, the present invention adopts the following technical solution.

[0007] A method for security management of cabinet door status based on the Internet of Things and data interaction, characterized by the following steps:

[0008] The system collects physical status data, environmental data, and personnel identification data from the cabinet door, and performs filtering, standardization, and encapsulation preprocessing on the data; the preprocessed data is then encrypted, and the optimal transmission path is selected based on the real-time network status for reliable transmission.

[0009] The system verifies and parses received encrypted data, performs decision analysis based on a multi-factor access control model, and manages global state synchronization. It executes door lock control, updates status indicators, triggers tiered alarms, and collects execution feedback data to optimize system parameters and strategies according to decision instructions.

[0010] As a further solution, the steps of collecting physical status data, environmental data, and personnel identification data of the cabinet door, and performing filtering, standardization, and encapsulation preprocessing on the data include:

[0011] S101. Door status data acquisition: A distributed Hall sensor array is used, with several detection points arranged around the door frame. Door position data is collected at a preset sampling frequency. The raw data is denoised using a Kalman filter algorithm to determine the door's opening and closing status.

[0012] S102. Environmental data acquisition: Collect environmental parameters through temperature and humidity sensors, vibration sensors and sound sensors, establish an environmental baseline model and set normal parameter ranges;

[0013] S103. Identity authentication data collection, adopting multiple authentication methods supporting RFID, fingerprint and facial recognition, and binding identity information with time and location information;

[0014] S104. Data preprocessing and standardization: Timestamp alignment of multi-source data, standardization of data format and units of measurement, extraction of feature values ​​and generation of standardized data packets, and caching of preprocessing results for transmission.

[0015] As a further solution, the step of denoising the original data using the Kalman filter algorithm and determining the opening / closing state of the door includes:

[0016] First, a state vector is constructed, including the gate's position and velocity. Second, the system state equation and observation equation are established, and the sensor data is filtered in real time through a prediction-correction loop. Finally, based on the comparison between the filtered position data and a preset threshold, the gate is determined to be in an open, closed, or intermediate state. Stable and denoised gate state information is output.

[0017] As a further solution, the steps of encrypting the preprocessed data and selecting the optimal transmission path for reliable transmission based on the real-time network status include:

[0018] Historical environmental data is collected, including temperature, humidity, vibration amplitude, and sound intensity; typical environmental patterns are identified through clustering algorithms to establish an environmental baseline model; a dynamic threshold range is set, and when real-time data deviates from the baseline by more than the set tolerance, it is determined to be an environmental anomaly; different levels of early warning signals are generated based on the duration and degree of deviation of the anomaly.

[0019] As a further solution, the steps of establishing an environmental baseline model and setting normal parameter ranges include:

[0020] S201. Data encryption processing: The SM4 algorithm is used to perform layered encryption on the transmitted data, digital signatures are added to ensure data integrity, different encryption levels are set for different types of data, and encrypted data packets with timestamps are generated.

[0021] S202. Transmission path selection: Select the transmission channel according to the data type. The status data of the transmission channel uses LoRaWAN, and the video data uses 5G. Monitor the network quality in real time and evaluate the transmission latency and packet loss rate. Adjust the transmission strategy dynamically based on the evaluation results and automatically switch to the backup channel when the network is abnormal.

[0022] S203. Ensure transmission reliability by implementing data packet sequence number management and acknowledgment mechanisms, setting timeout retransmission and packet loss retransmission mechanisms, adopting forward error correction technology to improve anti-interference capabilities, and establishing an end-to-end transmission quality monitoring system.

[0023] As a further solution, the steps of verifying and parsing the received encrypted data, performing decision analysis based on a multi-factor authentication model, and managing global state synchronization include:

[0024] S301. Data verification and parsing: decrypt and sign the received data, check the data integrity and timeliness, parse the data packet to extract valid information, and verify the legality of the data source;

[0025] S302. Multi-factor access control verification: Construct a comprehensive access control verification model that comprehensively evaluates biometric matching degree, time compliance, and location credibility, and sets tiered authorization thresholds; Access control verification model:

[0026] S core =α·F m +β·T c +γ·L c ;

[0027] Where F m For biometric matching degree, T c For time compliance, L c To determine location credibility, a dynamic weighting coefficient is set and adjusted according to the security level. Authorization is granted when the overall score exceeds the threshold.

[0028] S303. Status synchronization management adopts a version number-based status synchronization mechanism to maintain a consistent global status view, handle status conflicts and abnormal situations, and update the status display of all terminals in real time.

[0029] S304. Intelligent analysis and early warning: Based on historical data, anomaly detection models are trained, sensor data streams are analyzed in real time to identify abnormal patterns, corresponding early warnings are initiated according to the risk level, and analysis results are recorded for model optimization.

[0030] As a further embodiment, the steps of executing door lock control, updating status indicators, triggering tiered alarms according to decision instructions, and collecting execution feedback data to optimize system parameters and strategies include:

[0031] S401. Door lock control execution: Receives control commands and verifies their validity; drives the motor lock to perform unlocking or locking operations; monitors the execution process to ensure the actions are in place; and feeds back the execution results to the control system.

[0032] S402. Status indicator update: Update the display content according to the latest status, control the LED indicator to display the current status, update the prompt information on the e-ink screen, and ensure that the on-site display is consistent with the system status;

[0033] S403. Alarm mechanism execution: The corresponding alarm mode is activated according to the event level: Level 1 alarm is an audible and visual alert, Level 2 alarm is a remote notification, and Level 3 alarm is a coordinated security action. The alarm event and the handling result are recorded.

[0034] S404. Feedback and Optimization: Collect various data during the execution process, analyze the system's operating effect, optimize algorithm parameters and strategy configuration, and form a closed-loop system for continuous improvement.

[0035] Secondly, the present invention also discloses a cabinet door status synchronization and security management system based on Internet of Things and data interaction technology, used to implement the above method. The system includes a status perception module, an intelligent control module, a data transmission module and a central processing platform.

[0036] Secondly, the present invention also provides a cabinet door status synchronization and security management system based on Internet of Things and data interaction technology, comprising:

[0037] The status awareness module is used to collect the physical status of the cabinet door, environmental parameters, and personnel identification data;

[0038] The data transmission module, connected to the state sensing module, is used to encrypt and reliably transmit the collected data;

[0039] A central processing platform, connected to the data transmission module, is used to verify, parse, and make intelligent decisions on the received data;

[0040] The intelligent control module is connected to the central processing platform and is used to receive control commands and perform door lock control, status indication and alarm operations.

[0041] As a further option for this system, the state awareness module includes:

[0042] The door status detection unit uses a distributed detection network composed of HAL2450 Hall sensors;

[0043] The environmental monitoring unit integrates an SHT45 temperature and humidity sensor and an ADXL357 vibration sensor;

[0044] The identity authentication unit includes an RFID card reader, a fingerprint sensor, and a facial recognition camera;

[0045] The positioning and monitoring unit uses the ATGM336H chip to support GPS / BeiDou dual-mode positioning.

[0046] As a further option for this system, the data transmission module includes:

[0047] The wireless communication unit includes a 5G module and a LoRa chip, supporting dual-mode communication;

[0048] A secure encryption unit is used to implement SM4 algorithm encryption and digital signatures;

[0049] Protocol adapter unit, supporting MQTT and CoAP protocol conversion.

[0050] As a further option for this system, the central processing platform includes:

[0051] A data fusion engine that enables multi-source data fusion based on a time-series database;

[0052] The permission management engine supports a hybrid permission model of RBAC and ABAC.

[0053] The state synchronizer uses a distributed transaction mechanism to maintain global state consistency.

[0054] The audit log system uses blockchain technology to ensure that operation records are tamper-proof.

[0055] As a further option for this system, the intelligent control module includes:

[0056] The lock control drive unit uses an STM32H743 microcontroller and a stepper motor;

[0057] The status indicator unit includes a full-color LED array and an e-ink screen;

[0058] The alarm execution unit integrates a high-decibel buzzer and a high-brightness LED.

[0059] In summary, due to the adoption of the above technical solutions, the beneficial technical effects of the invention are as follows.

[0060] This invention addresses the shortcomings of existing technologies, such as isolated status information, through a comprehensive technical solution encompassing multi-dimensional data acquisition, secure transmission, intelligent decision-making, and precise execution. The solution employs a distributed Hall effect sensor array to collect door position data, combined with Kalman filtering to denoise the raw data. Simultaneously, environmental parameters are collected via temperature, humidity, vibration, and sound sensors. Data preprocessing aligns the timestamps and unifies the format of the multi-source data. The data transmission process utilizes SM4 algorithm-based layered encryption and dynamic multi-path (LoRaWAN / 5G / wired) selection to ensure real-time and secure transmission to the central processing platform. The central processing platform, through a status synchronization management mechanism, achieves remote real-time synchronization of the cabinet door's physical status with environmental parameters. This completely overcomes the limitations of traditional mechanical locks, which cannot remotely acquire status information, and ordinary electronic access control systems, which suffer from high synchronization delays. This allows administrators to monitor the cabinet door's opening / closing and half-open status, as well as the cabinet's environmental conditions, in real time, thus resolving the issue of isolated status information.

[0061] This invention effectively addresses the shortcomings of existing technologies in terms of crude access control by constructing a complete security protection and access control system. The identity authentication process employs multiple authentication methods, including RFID, fingerprint, and facial recognition, binding identity information with time and location information. The central processing platform, based on a multi-factor access verification model, comprehensively evaluates biometric matching, time compliance, and location credibility. It achieves hierarchical authorization through dynamic weight coefficient adjustments, avoiding the problems of easy duplication, difficulty in traceability, and ambiguous boundaries of single electronic authentication permissions inherent in traditional physical keys. Simultaneously, the system utilizes an intelligent analysis and early warning module, training an anomaly detection model based on historical data to identify anomalies such as unauthorized door opening and environmental parameters exceeding thresholds in real time. Combined with a tiered alarm mechanism (level 1: audible and visual alerts; level 2: remote notifications; level 3: linked security), it upgrades existing reactive alarms to proactive early warnings, resolving the deficiencies of crude access control and lagging response mechanisms.

[0062] This invention significantly improves operational efficiency and solves the problem of low operational efficiency in existing technologies through a fully automated design and closed-loop optimization mechanism. The entire process of data collection, transmission, verification, and decision-making requires no manual intervention. The intelligent control module can automatically execute door lock control and status indicator updates, reducing manual operation steps. The audit log system of the central processing platform uses blockchain technology to record operation trajectories, enabling traceability of the operational process and avoiding errors from manual recording. The feedback and optimization module collects execution data and dynamically adjusts algorithm parameters (such as Kalman filter parameters and environmental baseline thresholds) and strategy configurations to continuously improve system performance, significantly reduce manual operation and maintenance costs, and improve the accuracy and reliability of operation and maintenance, solving the problems of traditional operation and maintenance relying on manual labor, high costs, and susceptibility to errors. Attached Figure Description

[0063] Figure 1A flowchart illustrating a method for multi-dimensional comparative analysis and display of operational indicators for new energy power plants;

[0064] Figure 2 For multi-dimensional data collection and preprocessing;

[0065] Figure 3 A flowchart for secure transmission and link assurance;

[0066] Figure 4 A flowchart for intelligent decision-making and state synchronization;

[0067] Figure 5 A flowchart for precise execution and closed-loop feedback. Detailed Implementation

[0068] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0069] To make the objectives, technical solutions, and advantages of the invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0070] like Figure 1 As shown, a method for security management of cabinet door status based on the Internet of Things and data interaction is characterized by the following steps:

[0071] S100. Multi-dimensional data acquisition and preprocessing: Collect physical status data, environmental data, and personnel identification data of the cabinet door, and perform filtering, standardization, and encapsulation preprocessing on the data to provide basic data support for subsequent intelligent decision-making and control execution; the data quality directly determines the accuracy and reliability of subsequent steps.

[0072] S200. Secure transmission and link assurance: Utilizing the standardized data processed by S100, the optimal transmission path is selected based on the real-time network status for reliable transmission, providing complete and reliable data input for the intelligent decision-making of S300. This step is a key bridge connecting field devices and the central platform, ensuring the real-time nature and integrity of the data.

[0073] S300. Intelligent decision-making and state synchronization, based on encrypted data transmitted by S200, performs decision analysis through a multi-factor access control model and manages global state synchronization, providing a basis for the precise execution of S400; this step is the intelligent brain of the system, undertaking the core functions of data processing, analysis and decision-making;

[0074] S400. Precise execution and closed-loop feedback: Receives decision instructions from S300, executes door lock control, updates status indicators, triggers tiered alarms, and collects execution feedback data to optimize system parameters and strategies; this step is the system's execution terminal, translating intelligent decisions into concrete actions and achieving continuous system optimization through a feedback mechanism.

[0075] like Figure 2 As shown, the steps of collecting physical status data, environmental data, and personnel identification data of the cabinet door, and performing filtering, standardization, and encapsulation preprocessing on the data include:

[0076] S101. Door status data acquisition: A distributed Hall sensor array is used, with several detection points arranged around the door frame. Door position data is collected at a preset sampling frequency. The raw data is denoised using a Kalman filter algorithm to determine the door's opening and closing status.

[0077] The step of denoising the original data using the Kalman filter algorithm and determining the opening / closing state of the door includes:

[0078] First, a state vector is constructed, including the gate's position and velocity. Second, the system state equation and observation equation are established, and the sensor data is filtered in real time through a prediction-correction loop. Finally, based on the comparison between the filtered position data and a preset threshold, the gate is determined to be in an open, closed, or intermediate state. Stable and denoised gate state information is output.

[0079] S102. Environmental data acquisition: Collect environmental parameters through temperature and humidity sensors, vibration sensors and sound sensors, establish an environmental baseline model and set normal parameter ranges;

[0080] The steps of encrypting the preprocessed data and selecting the optimal transmission path for reliable transmission based on the real-time network status include:

[0081] Collect historical environmental data, including temperature, humidity, vibration amplitude, and sound intensity; identify typical environmental patterns through clustering algorithms and establish an environmental baseline model; set dynamic threshold ranges, and determine environmental anomalies when real-time data deviates from the baseline by more than the set tolerance; generate different levels of early warning signals based on the duration and degree of deviation of the anomaly.

[0082] S103. Identity authentication data collection, adopting multiple authentication methods supporting RFID, fingerprint and facial recognition, and binding identity information with time and location information;

[0083] S104. Data preprocessing and standardization: Timestamp alignment of multi-source data, standardization of data format and units of measurement, extraction of feature values ​​and generation of standardized data packets, and caching of preprocessing results for transmission.

[0084] like Figure 3 As shown, the steps for ensuring the security and reliability of data transmission by employing multi-path transmission strategies and encryption technologies include:

[0085] S201. Data encryption processing: The SM4 algorithm is used to encrypt the transmitted data, digital signatures are added to ensure data integrity, different encryption levels are set for different types of data, and encrypted data packets with timestamps are generated.

[0086] S202. Transmission path selection: Select the transmission channel according to the data type. The status data of the transmission channel uses LoRaWAN, and the video data uses 5G. Monitor the network quality in real time and evaluate the transmission latency and packet loss rate. Adjust the transmission strategy dynamically based on the evaluation results and automatically switch to the backup channel when the network is abnormal.

[0087] S203. Ensure transmission reliability by implementing data packet sequence number management and acknowledgment mechanisms, setting timeout retransmission and packet loss retransmission mechanisms, adopting forward error correction technology to improve anti-interference capabilities, and establishing an end-to-end transmission quality monitoring system.

[0088] like Figure 4 As shown, the steps for implementing access control and state synchronization management of encrypted data transmitted via S200 through multi-factor authentication and intelligent analysis algorithms include:

[0089] S301. Data verification and parsing: decrypt and sign the received data, check the data integrity and timeliness, parse the data packet to extract valid information, and verify the legality of the data source;

[0090] S302. Multi-factor authentication, constructing an authentication model:

[0091] S core =α·F m +β·T c +γ·L c ;

[0092] Where F m For biometric matching degree, T c For time compliance, L cTo determine location credibility, a dynamic weighting coefficient is set and adjusted according to the security level. Authorization is granted when the overall score exceeds the threshold.

[0093] S303. Status synchronization management adopts a version number-based status synchronization mechanism to maintain a consistent global status view, handle status conflicts and abnormal situations, and update the status display of all terminals in real time.

[0094] S304. Intelligent analysis and early warning: Based on historical data, anomaly detection models are trained, sensor data streams are analyzed in real time to identify abnormal patterns, corresponding early warnings are initiated according to the risk level, and analysis results are recorded for model optimization.

[0095] like Figure 5 As shown, the steps of receiving decision instructions from S300, accurately executing control operations, and feeding back the execution results to S300 to form a closed-loop optimization include:

[0096] S401. Door lock control execution: Receives control commands and verifies their validity; drives the motor lock to perform unlocking or locking operations; monitors the execution process to ensure the actions are in place; and feeds back the execution results to the control system.

[0097] S402. Status indicator update: Update the display content according to the latest status, control the LED indicator to display the current status, update the prompt information on the e-ink screen, and ensure that the on-site display is consistent with the system status;

[0098] S403. Alarm mechanism is activated, and the corresponding alarm mode is initiated according to the event level. Level 1 alarm is an audible and visual alert, Level 2 alarm is a remote notification, and Level 3 alarm is a coordinated security action. The alarm event and the handling result are recorded.

[0099] S404. Feedback and Optimization: Collect various data during the execution process, analyze the system's operating effect, optimize algorithm parameters and strategy configuration, and form a closed-loop system for continuous improvement.

[0100] Secondly, the present invention also discloses a cabinet door status synchronization and security management system based on Internet of Things and data interaction technology, used to implement the above method. The system includes a status perception module, an intelligent control module, a data transmission module and a central processing platform.

[0101] The status perception module includes a sensory organ that is responsible for collecting all-round status information of the cabinet door and providing raw data input for subsequent processing.

[0102] This system enables multi-dimensional real-time monitoring of cabinet door status, environmental parameters, and personnel identity. The implementation methods are as follows: a door status detection unit employs a distributed Hall sensor array to accurately monitor the door's opening and closing status, providing accurate door location information; an environmental monitoring unit integrates temperature, humidity, vibration, and sound sensors to collect environmental parameters, monitoring the cabinet's operating environment; an identity authentication unit supports multiple authentication methods to verify the operator's identity, ensuring their legitimacy; and a positioning monitoring unit records the cabinet's geographical location information in real time, providing equipment location traceability capabilities.

[0103] The intelligent control module, as the system's executor, is responsible for translating decision commands into specific control actions and implementing status indication and alarm functions. It enables precise control of the door lock, visual display of its status, and timely alarms for abnormal situations. Implementation methods include: a lock control drive unit based on a high-performance microcontroller drives the motor lock for precise control, performing unlocking / locking operations; a status indication unit employing a dual-display scheme dynamically displays the cabinet status, providing intuitive status indications; a data caching unit using FRAM memory ensures reliable data storage, guaranteeing data persistence; and an alarm execution unit supporting multi-level alarm modes provides timely warnings, enabling tiered alarm responses.

[0104] The data transmission module, acting as the system's neural network, is responsible for establishing secure and reliable data transmission channels between various modules. It ensures reliable transmission and secure exchange of data during acquisition, processing, and execution. Implementation methods include: a wireless communication unit supporting 5G and LoRaWAN dual-mode communication and intelligently selecting transmission paths, providing flexible wireless connectivity; a wired communication unit providing redundant communication guarantees to ensure connection reliability, establishing backup communication channels; a security encryption unit employing national cryptographic algorithms to ensure data transmission security, preventing data leakage and tampering; and a protocol adaptation unit compatible with multiple IoT protocols, enabling flexible access and ensuring system compatibility.

[0105] The central processing platform, serving as the system's intelligent hub, is responsible for data fusion processing, intelligent decision-making, and system management; it enables intelligent analysis of multi-source data, access verification, and unified management of system status. Implementation methods include: a data fusion engine processes multi-source heterogeneous data for unified management, integrating various sensor data; a state synchronizer maintains global state consistency and ensures information synchronization, maintaining system state consistency; a permission management engine provides fine-grained access control and ensures access security, managing user access permissions; and an audit log system records operation logs, supporting traceability analysis and providing operation auditing functionality.

[0106] In the state perception module, the door state detection unit uses a HAL2450 Hall sensor with a detection accuracy of 0.1mm, and achieves all-round state monitoring through multi-point layout; the environmental monitoring unit uses an SHT45 temperature and humidity sensor and an ADXL357 vibration sensor, and achieves anomaly detection by establishing an environmental baseline model; the identity authentication unit integrates an FPC1020 fingerprint sensor and an OV2740 image sensor, and ensures identity authenticity through a multi-authentication mechanism; the positioning monitoring unit uses an ATGM336H positioning chip, supports GPS / BeiDou dual-mode, and provides accurate location information through satellite positioning.

[0107] In the intelligent control module, the lock control drive unit uses an STM32H743 microcontroller and a 42BYGH34 stepper motor to achieve smooth operation through precise motor control; the status indication unit includes a full-color LED array and an e-ink screen, providing clear status indication through a dual-display scheme; the data cache unit uses an FM24V10 ferroelectric memory with a read / write life of 1 billion times, ensuring data security through non-volatile storage; the alarm execution unit integrates a high-decibel buzzer and multiple high-brightness LEDs, achieving graded response through multi-level alarm modes.

[0108] As a further solution, the data transmission module includes a wireless communication unit comprising a Quectel RM500Q.5G module and a Semtech SX1276 LoRa chip, ensuring connection reliability through dual-mode communication; a wired communication unit supporting Gigabit Ethernet and RS-485 bus, providing backup communication channels through redundant design; a security encryption unit implementing SM4 algorithm encryption and digital signatures, ensuring data transmission security through end-to-end encryption; and a protocol adaptation unit supporting MQTT and CoAP protocols, achieving system compatibility through protocol conversion.

[0109] In the central processing platform: the data fusion engine realizes multi-source data fusion based on time series database, and improves analysis efficiency through unified data processing; the state synchronizer adopts a distributed transaction mechanism to maintain state consistency and ensures data synchronization through version control; the permission management engine supports a hybrid permission model of RBAC and ABAC, and improves security through dynamic permission management; the audit log system uses blockchain technology to ensure that logs are tamper-proof and ensures audit reliability through distributed storage.

[0110] The sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0111] The embodiments described above are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for security management of cabinet door status based on the Internet of Things and data interaction, characterized in that, Includes the following steps: The system collects physical status data, environmental data, and personnel identification data from the cabinet door, and performs filtering, standardization, and encapsulation preprocessing on the data; the preprocessed data is then encrypted, and the optimal transmission path is selected based on the real-time network status for reliable transmission. The system verifies and parses received encrypted data, performs decision analysis based on a multi-factor access control model, and manages global state synchronization. It executes door lock control, updates status indicators, triggers tiered alarms, and collects execution feedback data to optimize system parameters and strategies according to decision instructions.

2. The method for security management of cabinet door status based on the Internet of Things and data interaction according to claim 1, characterized in that, The steps of collecting physical status data, environmental data, and personnel identification data of the cabinet door, and performing filtering, standardization, and encapsulation preprocessing on the data include: S101. Door status data acquisition: A distributed Hall sensor array is used, with several detection points arranged around the door frame. Door position data is collected at a preset sampling frequency. The raw data is denoised using a Kalman filter algorithm to determine the door's opening and closing status. S102. Environmental data acquisition: Collect environmental parameters through temperature and humidity sensors, vibration sensors and sound sensors, establish an environmental baseline model and set normal parameter ranges; S103. Identity authentication data collection, adopting multiple authentication methods supporting RFID, fingerprint and facial recognition, and binding identity information with time and location information; S104. Data preprocessing and standardization: Timestamp alignment of multi-source data, standardization of data format and units of measurement, extraction of feature values ​​and generation of standardized data packets, and caching of preprocessing results for transmission.

3. The method for security management of cabinet door status based on the Internet of Things and data interaction according to claim 2, characterized in that, The step of denoising the original data using the Kalman filter algorithm and determining the opening / closing state of the door includes: First, a state vector is constructed, including the gate's position and velocity. Second, the system state equation and observation equation are established, and the sensor data is filtered in real time through a prediction-correction loop. Finally, based on the comparison between the filtered position data and a preset threshold, the gate is determined to be in an open, closed, or intermediate state. Stable and denoised gate state information is output.

4. The method for security management of cabinet door status based on the Internet of Things and data interaction according to claim 2, characterized in that, The steps of encrypting the preprocessed data and selecting the optimal transmission path for reliable transmission based on the real-time network status include: Historical environmental data is collected, including temperature, humidity, vibration amplitude, and sound intensity; typical environmental patterns are identified through clustering algorithms to establish an environmental baseline model; a dynamic threshold range is set, and when real-time data deviates from the baseline by more than the set tolerance, it is determined to be an environmental anomaly; different levels of early warning signals are generated based on the duration and degree of deviation of the anomaly.

5. The method for security management of cabinet door status based on the Internet of Things and data interaction according to claim 1, characterized in that, The steps of establishing an environmental baseline model and setting normal parameter ranges include: S201. Data encryption processing: The SM4 algorithm is used to perform layered encryption on the transmitted data, digital signatures are added to ensure data integrity, different encryption levels are set for different types of data, and encrypted data packets with timestamps are generated. S202. Transmission path selection: Select the transmission channel according to the data type. The status data of the transmission channel uses LoRaWAN, and the video data uses 5G. Monitor the network quality in real time and evaluate the transmission latency and packet loss rate. Adjust the transmission strategy dynamically based on the evaluation results and automatically switch to the backup channel when the network is abnormal. S203. Ensure transmission reliability by implementing data packet sequence number management and acknowledgment mechanisms, setting timeout retransmission and packet loss retransmission mechanisms, adopting forward error correction technology to improve anti-interference capabilities, and establishing an end-to-end transmission quality monitoring system.

6. The method for security management of cabinet door status based on the Internet of Things and data interaction according to claim 1, characterized in that, The steps of verifying and parsing the received encrypted data, performing decision analysis based on a multi-factor authentication model, and managing global state synchronization include: S301. Data verification and parsing: decrypt and sign the received data, check the data integrity and timeliness, parse the data packet to extract valid information, and verify the legality of the data source; S302. Multi-factor access control verification: Construct a comprehensive access control verification model that comprehensively evaluates biometric matching degree, time compliance, and location credibility, and sets tiered authorization thresholds; Access control verification model: ； in For biometric matching degree, For time compliance, To determine location credibility, a dynamic weighting coefficient is set and adjusted according to the security level. Authorization is granted when the overall score exceeds the threshold. S303. Status synchronization management adopts a version number-based status synchronization mechanism to maintain a consistent global status view, handle status conflicts and abnormal situations, and update the status display of all terminals in real time. S304. Intelligent analysis and early warning: Based on historical data, anomaly detection models are trained, sensor data streams are analyzed in real time to identify abnormal patterns, corresponding early warnings are initiated according to the risk level, and analysis results are recorded for model optimization.

7. The method for security management of cabinet door status based on the Internet of Things and data interaction according to claim 1, characterized in that, The steps of executing door lock control, updating status indicators, triggering tiered alarms, and collecting execution feedback data to optimize system parameters and strategies according to decision instructions include: S401. Door lock control execution: Receives control commands and verifies their validity; drives the motor lock to perform unlocking or locking operations; monitors the execution process to ensure the actions are in place; and feeds back the execution results to the control system. S402. Status indicator update: Update the display content according to the latest status, control the LED indicator to display the current status, update the prompt information on the e-ink screen, and ensure that the on-site display is consistent with the system status; S403. Alarm mechanism execution: The corresponding alarm mode is activated according to the event level: Level 1 alarm is an audible and visual alert, Level 2 alarm is a remote notification, and Level 3 alarm is a coordinated security action. The alarm event and the handling result are recorded. S404. Feedback and Optimization: Collect various data during the execution process, analyze the system's operating effect, optimize algorithm parameters and strategy configuration, and form a closed-loop system for continuous improvement.

8. The system for rack door status synchronization and security control based on Internet of Things and data interaction technology as described in any one of claims 1-7, characterized in that, A cabinet door status synchronization and security management system based on Internet of Things and data interaction technology includes: The status awareness module is used to collect the physical status of the cabinet door, environmental parameters, and personnel identification data; The data transmission module, connected to the state sensing module, is used to encrypt and reliably transmit the collected data; A central processing platform, connected to the data transmission module, is used to verify, parse, and make intelligent decisions on the received data; The intelligent control module is connected to the central processing platform and is used to receive control commands and perform door lock control, status indication and alarm operations.

9. A cabinet door status security control system based on the Internet of Things and data interaction as described in claim 8, characterized in that, The state awareness module includes: The door status detection unit uses a distributed detection network composed of HAL2450 Hall sensors; The environmental monitoring unit integrates an SHT45 temperature and humidity sensor and an ADXL357 vibration sensor; The identity authentication unit includes an RFID card reader, a fingerprint sensor, and a facial recognition camera; The positioning and monitoring unit uses the ATGM336H chip to support GPS / BeiDou dual-mode positioning.

10. A cabinet door status security management system based on the Internet of Things and data interaction as described in claim 8, characterized in that, The data transmission module includes: The wireless communication unit includes a 5G module and a LoRa chip, supporting dual-mode communication; A secure encryption unit is used to implement SM4 algorithm encryption and digital signatures; Protocol adapter unit, supporting MQTT and CoAP protocol conversion.

11. A cabinet door status security control system based on the Internet of Things and data interaction as described in claim 8, characterized in that, The central processing platform includes: A data fusion engine that enables multi-source data fusion based on a time-series database; The permission management engine supports a hybrid permission model of RBAC and ABAC. The state synchronizer uses a distributed transaction mechanism to maintain global state consistency. The audit log system uses blockchain technology to ensure that operation records are tamper-proof.

12. A cabinet door status security management system based on the Internet of Things and data interaction as described in claim 8, characterized in that, The intelligent control module includes: The lock control drive unit uses an STM32H743 microcontroller and a stepper motor; The status indicator unit includes a full-color LED array and an e-ink screen; The alarm execution unit integrates a high-decibel buzzer and a high-brightness LED.

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