207 results about "Operations security" patented technology

The invention discloses an intelligent operation and maintenance method and system based on an MCP protocol, and belongs to the crossing field of artificial intelligence and operation and maintenance automation. The system comprises an AI Agent module, a central intelligent analysis engine module, a man-machine interaction module and a safety control module. The method comprises the following steps: collecting system operation data in real time through an AI Agent module, and packaging the system operation data into an MCP protocol format; the central intelligent analysis engine module predicts the load based on an LSTM model, and generates operation and maintenance decision suggestions in combination with log anomaly recognition and reinforcement learning; the man-machine interaction module realizes understanding of user input through a natural language large model, automatically converts the user input into an MCP instruction, and supports multiple rounds of interaction confirmation and instruction verification; the safety control module provides an MCP operation sandbox and semantic instruction verification, and the operation safety is guaranteed. The system can dynamically schedule resources and automatically dispose faults, realizes that non-technical personnel can execute complex operation and maintenance operations, and is suitable for application scenes with high reliability requirements, such as industrial data acquisition and chemical engineering.

The invention relates to the technical field of metering pumps, in particular to an external meshing gear metering pump flow calculation method based on linear regression and curve fitting, which comprises the following steps: generating an integrated data set by monitoring the flow rate, pressure, temperature and viscosity in real time, setting flow rate, pressure and temperature thresholds based on the data set, judging the flow state and recording abnormity, and calculating the flow rate of the external meshing gear metering pump. Flow velocity and viscosity are selected for flow calculation, a corrected flow value is generated, whether flow is normal or not is analyzed and determined, a flow stability evaluation result is generated, and a visual interface is created to display parameters and a calculation result. According to the method, the multiple sensors are installed at the inlet and the outlet of the metering pump, the flow speed, the pressure, the temperature and the viscosity are monitored in real time, an integrated data set provides a precise basis for flow calculation, a threshold value is set, data are monitored, it is ensured that parameters exceeding the normal range can be recorded and analyzed in time, and the process improves the accuracy of flow calculation and improves the working efficiency. And flow evaluation is optimized, and the operation safety and efficiency are improved.

The invention relates to the technical field of authority control, in particular to a Bluetooth-based operation and maintenance authority control system, which comprises a Bluetooth link identification module, a task risk assessment module, an authority adaptation decision module, a task path verification module and an execution consistency verification module. By acquiring the Bluetooth communication address and the channel number and combining the hopping frequency and the stability, the link security state identification is realized, the communication legality judgment precision is improved, the task risk is evaluated by introducing the equipment performance and the communication parameters, the bearing capacity judgment precision is improved, the permission level, the execution frequency and the historical success rate are combined, and the reliability of the system is improved. The permission matching state is dynamically verified, and the task success rate is optimized. Relay node addresses are compared with declaration path structure consistency, accurate and reliable paths are ensured, execution environments are verified according to device roles and instruction contents, instruction execution feasibility judgment is enhanced, all links are compared based on real-time data and structures, task whole-process closed-loop control is formed, and operation safety and decision accuracy are improved.

The invention provides an experiment task execution method and device.The method comprises the steps that task information of a target experiment task is divided based on a visual language model, a subtask sequence is obtained, and the subtask sequence is formed by arranging multiple subtasks from front to back according to the execution sequence; processing the text information corresponding to the current sub-task and the experiment image before the current sub-task is executed through the visual language model from the first sub-task in the sub-task sequence to obtain a visual prompt image, and executing the visual prompt image through a visual language action model. And processing based on the text information, the experiment image and the visual prompt image, guiding a robot to execute the current sub-task until the last sub-task in the sub-task sequence is completed, and determining that the target experiment task is completed. According to the method, the success rate, the operation safety and the regulation compliance of the experiment task are effectively improved, and the method has high universality and safety.

The invention is suitable for the field of computer vision and robot control, and provides a positioning method and system based on visual perception, and the method comprises the steps: receiving the definition information of a target workpiece, and positioning a space region in initial visual scene data; light and shadow interference is separated, and intrinsic visual features of the workpiece are restored; constructing a scene digital twinborn model based on the intrinsic features and physical simulation; generating a grabbing option with a priority and a dynamic confidence coefficient; identifying a key shelter removal option; and iteratively executing the removal operation until the target is grabbed. The system comprises corresponding function modules. The positioning precision and the operation safety are improved, the method is suitable for dynamic stacking scenes, target workpiece positioning and grabbing are efficiently achieved, and the method is suitable for multi-field automatic operation.

Disclosed are apparatuses, systems, and techniques for adaptable provisioning of accurate and flexible assessments of safety of AI operations. The techniques include performing a probabilistic selection of a safeguard model, from an ensemble of safeguard models, to generate a safety assessment of a prompt to a language model, likelihood of the probabilistic selection being determined using historical performance of the ensemble of safeguard models.

The embodiment of the invention provides a molten iron blending control system and method after blast furnace reblowing. The system comprises a molten iron monitoring subsystem, an iron blending control subsystem, an intelligent scheduling subsystem and a central processing unit. The central processing unit receives slag content associated data detected by the molten iron monitoring subsystem, monitoring parameters collected by the iron blending control subsystem and production associated information collected by the intelligent scheduling subsystem and inputs the slag content associated data into a slag content monitoring model so as to obtain slag content information through a machine learning algorithm. And first early warning information is generated according to the slag content information and the control reference data. And the iron blending speed and the iron blending angle in the iron blending process parameters can be calculated according to the monitoring parameters, the slag content information and the control reference data. And according to the production associated information and the iron exchange process parameters, an optimal iron exchange plan is generated by using an operational research algorithm. According to the system, the operation safety and the production efficiency can be improved through cooperation of a plurality of subsystems.

The invention provides a multi-protection method and system for a storage medium destroying machine, and relates to the technical field of data security, the method comprises the following steps: a storage medium enters a destroying cabin, the unique identification information of the storage medium is read, and the unique identification information is compared with a preset authorization database for verification; creating a dynamic safety area; operator identity confirmation, external authorization confirmation and storage medium state confirmation are executed, and when the triple authentication is passed, destruction operation is executed; activating a multi-source sensor to perform data acquisition; sending the multi-modal sensing data to an abnormity authentication channel; the multi-protection of destruction is carried out according to the destruction encryption abstract, the one-time destruction pass code and the multi-mode sensing data. According to the method and the device, the technical problem that in the prior art, due to incomplete trust chains and black boxed process verification, leakage risks exist before and after the storage medium is destroyed, auditing results are incredible, and the safety of destroying operation is affected is solved, and the safety of destroying operation is improved through multiple protections.

The invention relates to the field of special equipment safety management, and discloses a special equipment intelligent control method and system based on the Internet of Things. The method comprises the following steps: acquiring a facial image and fingerprint data of an operator through an industrial Internet of Things sensor, and matching by combining a preset biological recognition template to obtain preliminary verification information; personnel qualification grades and historical operation records are called from a database, and a comprehensive qualification score is determined through random forest algorithm processing; acquiring temperature and pressure parameters of the equipment in real time, and marking abnormity to generate a state label if the parameters exceed threshold values after detection; based on the state tag and the qualification score, verifying identity authenticity in a multi-dimensional manner, matching equipment operation qualification requirements, generating a matching degree, generating a temporary permission token when the matching degree reaches the standard, and otherwise, refusing to access; and the token is encrypted and transmitted to the equipment control module, and the operation range is adjusted in real time to complete dynamic permission configuration. According to the method, accurate authority control is realized, the operation safety and management efficiency of the special equipment are improved, and guarantee is provided for safe operation of industrial production.

The invention provides an unmanned loader control method and system, a loader and a medium, and relates to the technical field of engineering machinery. The method comprises the following steps: acquiring current state data of the unmanned loader, wherein the current state data comprises operation image data acquired by a camera of the unmanned loader and loader body data acquired by a sensor; determining a corresponding first state vector according to the current state data, and inputting the first state vector into a pre-trained human in-the-loop reinforcement learning model to obtain an execution action of the unmanned loader at the next moment; and outputting a corresponding control signal according to the execution action to drive the unmanned loader to execute, and performing parameter optimization on the human in-the-loop reinforcement learning model according to the execution action and the intervention action input by the human. According to the method, the automation, the working efficiency and the operation safety of loading operation are improved.

The invention discloses a space robot compliance control method and device based on multi-dimensional visual constraints, and belongs to the technical field of space robots and autonomous control. The method comprises the following steps: collecting and fusing data through a heterogeneous visual sensor group, and carrying out uncertainty quantification to generate a perception confidence index; constructing and dynamically adjusting a visual constraint function set based on the index, solving a motion feasible region according to the visual constraint function set, and generating an expected motion track; inputting the track into an impedance controller, and adjusting the rigidity and damping parameters in real time according to the sensing confidence so as to output an instruction; the instruction is verified through digital twin simulation, and if the instruction does not pass the verification, a fault-tolerant mechanism is triggered for optimization; and finally, updating the system parameters on line according to the deviation between the actual execution data and the simulation data. According to the method, the technical problems of poor operation safety, low control precision and insufficient autonomy of the space robot in a complex environment caused by single sensing information dimension, lack of uncertainty quantization and fixed control strategy are solved.

The invention discloses a self-adaptive pipetting system and method based on multi-mode sensing fusion. The system comprises a PLC (Programmable Logic Controller), a fusion multi-mode sensing module, a high-throughput execution module, a self-adaptive protocol matching module and a man-machine interaction module. According to the invention, through multi-channel cooperation and continuous transmission, the experiment efficiency is greatly improved; multi-modal sensing data are fused, and real-time closed-loop control and dynamic compensation are performed by adopting algorithms such as fuzzy PID (Proportion Integration Differentiation) and the like, so that the pipetting volume precision reaches + / -1%, and the repeatability is improved by 20-30%; a protocol feature library and an intelligent matching algorithm are built in, and experimental parameters can be automatically analyzed, matched and optimized; equipment state and process parameters are monitored in real time, faults and pollution risks are automatically early warned, and the operation safety and reliability are remarkably improved in combination with automatic anti-pollution design; a PLC is deeply fused with a sensing module and a decision module, a sensing-decision-execution intelligent closed loop is constructed, and an accurate and reliable integrated solution is provided for automatic pipetting.

The invention discloses an intelligent integrated 10-kilovolt circuit breaker, and relates to the technical field of circuit breakers, the intelligent integrated 10-kilovolt circuit breaker comprises a mechanism box, a control box is arranged in the mechanism box, the control box comprises an Internet of Things module and an edge calculation unit, temperature sensors are arranged on the left side and the right side of the control box, and a first transmission rod is horizontally arranged in the middle of the interior of the mechanism box; limiting boxes are fixedly installed on the left side and the right side in the mechanism box, limiting rollers are arranged on the outer sides of the limiting boxes, a second transmission rod is horizontally arranged on the rear portion of the outer side of the mechanism box, and the second transmission rod rotates to drive the isolation switch to form a rotating structure. The intelligent integrated 10-kilovolt circuit breaker intelligent early warning system can pre-judge faults in advance, the operation and maintenance cost is reduced, the remote control response time is shortened, the problems that traditional equipment is insufficient in intelligence and inconvenient to maintain are solved, the system is suitable for intelligent operation and maintenance of a power distribution network, and the reliability and operation safety of the power distribution network are remarkably improved.

The invention discloses a loader remote intelligent control system based on multi-network fusion and modular design, and relates to the technical field of loader remote control, and the loader remote intelligent control system comprises an equipment end, a remote control end and a cloud server end; the equipment end comprises the following hardware modules: a hardware sensing module which comprises a multi-type sensor array and a data acquisition unit and realizes real-time acquisition of mechanical parameters, environmental parameters and attitude data; and the main control processing module integrates a CPU (Central Processing Unit) and an FPGA (Field Programmable Gate Array) acceleration unit, is internally provided with a QNX real-time operating system, and is used for data preprocessing, control logic execution and hardware drive management. Through a remote intelligent control scheme, an operator can operate and control equipment in a safe area, the operation safety is improved, the operability and flexibility of the equipment are enhanced, modular design is adopted to facilitate installation, maintenance and rapid deployment, and a multi-network fusion architecture ensures stable data transmission in different environments; the low-delay and accurate control technology realizes the undifferentiated response speed of remote control and field operation.

The invention discloses an industrial vehicle intelligent instrument control system and method based on multi-mode biological recognition, and the method comprises the following steps: S1, collecting fingerprint data of a driver, and carrying out the preprocessing; s2, fingerprint texture features are extracted, and weighted coding is carried out on local texture distribution and a global topological structure; s3, constructing an identity verification window, and performing bidirectional attention comparison on the fingerprint feature vector and the fingerprint template; s4, judging whether the identity verification is passed or not according to the similarity score, and if the verification is passed, triggering a buzzer or a voice broadcast device to generate control feedback; s5, starting the vehicle, awakening display, loading an instrument information page, and writing an identity verification result into a system buffer area; and S6, synchronizing an identity verification result to a mobile terminal APP or an applet platform through the Bluetooth MCU chip. According to the invention, industrial vehicle intelligent control based on fingerprint identification is realized, and the identity verification accuracy, the operation safety and the management efficiency are improved.

The invention discloses a remote communication method for a surgical robot, a storage medium and a program product, and the method comprises the steps: receiving first control data sent by a remote control end which carries out the remote control of the surgical robot in response to the starting of a remote mode; wherein the first control data is obtained by encrypting original control data by the remote control end by adopting a preset encryption algorithm; the preset encryption algorithm comprises a symmetric encryption algorithm and / or an asymmetric encryption algorithm; decrypting the first control data by adopting a target decryption algorithm corresponding to the preset encryption algorithm to obtain second control data, and determining a target response mode of the surgical robot for the second control data according to the second control data and preset control logic; wherein the preset control logic at least comprises the adjustment logic of the working state of the surgical robot, so that the transmission safety of the remote surgical data and the operation safety of the surgical robot are improved.

The invention relates to the technical field of industrial cleaning, and discloses a surface residue cleaning system in an anode carbon block conveying process, which comprises a residue detection module, a cleaning execution module, an intelligent control module, an effect verification module, a safety protection module, a data management module, a self-calibration module, an energy consumption optimization module and a man-machine interaction module. Capturing residue distribution on the surface of the carbon block in real time through a multispectral scanning unit, and outputting a cleaning signal through a residue recognition algorithm; the mechanical cleaning unit and the airflow cleaning unit cooperatively execute precise slag removal; the intelligent control module adaptively adjusts cleaning parameters based on the speed of the conveying line; the surface sampling unit verifies the cleanliness through spectrum detection; the dust monitoring unit performs linkage safety protection when PM10 exceeds 8mg / m; and the data management module integrates the running log and remote report generation. Accuracy and reliability of residue identification are guaranteed, cleaning efficiency is improved, the risk that the surface of the carbon block is scratched is reduced, and production quality and operation safety are comprehensively improved.

The invention discloses a protocol message tamper-proofing method and system based on symmetric encryption and a medium, and relates to the technical field of industrial automation Ethernet time synchronization. According to the method, mirror image monitoring is carried out on the message receiving and sending process in the protocol processing process of time synchronization equipment, a protocol message is obtained and analyzed, and the protocol message tamper-proofing effect is achieved; a message abstract and encrypted verification data thereof are generated at a sending end, and a corresponding abstract is obtained through decryption at a receiving end; consistency comparison is carried out on the sending side abstract and the receiving side abstract based on the time window, and a tamper-proof consistency coefficient is calculated to judge the integrity of the protocol message; on the basis that the integrity is qualified, performing difference analysis on an encryption verification result, and calculating an encryption credibility coefficient to evaluate the credibility state of the symmetric encryption link; and further performing coupling calculation to obtain a time synchronization security coupling coefficient, comprehensively evaluating the influence of tamper-proofing and symmetric encryption on the time synchronization operation security, and implementing a security regulation and control strategy according to the influence, thereby improving the security and stability of the time synchronization system.

The invention discloses a double-layer multi-target dynamic reconstruction optimization method for an active power distribution network, and the innovative technical scheme comprises four core modules: firstly, building a network radial topology constraint model based on an unlinking method, and guaranteeing the basic safety of the operation of the power distribution network; secondly, constructing an equivalent daily load curve dynamic division model based on information entropy, and realizing time period division by quantifying load fluctuation characteristics; load period division, network operation security constraints and active management elements are comprehensively considered, and a double-layer multi-target reconstruction model with time sequence correlation characteristics is established; and finally, providing an improved multi-target electric eel foraging optimization algorithm (IMEEFO) on the basis of a Pareto frontier theory to respectively solve an upper layer model and a lower layer model. Through upper and lower layer nested iterative optimization, an optimal dynamic reconstruction strategy is generated, the operation cost is effectively reduced, the new energy consumption capability is improved, and meanwhile, the real-time operation requirement of the power distribution network is met.

The invention discloses a system operation security dialogue method generated by large model fine tuning and two-stage retrieval, and relates to the technical field of complex system operation security. Constructing a question and answer pair data set; finely adjusting the base model; constructing a knowledge base; carrying out vector recall; selecting and rearranging; and generating answers and the like. According to the system operation security dialogue method generated through large model fine tuning and two-stage retrieval, an automatic question answering and rapid retrieval mechanism based on a knowledge model in complex system operation security is achieved, and intellectualization, high efficiency and precision in the field of complex system operation security are promoted.

The invention provides a method, a device and equipment for identifying path deviation in a screw implanting process, and belongs to the field of data processing. The method comprises the steps that target stress information and pose information of the tail end of a target robot used for implanting a target screw are obtained, and the tail end of the target robot holds the target screw; determining a current implantation path of the target screw according to the target stress information and the pose information; obtaining a target implantation path, wherein the target implantation path is generated based on preoperative image data of a patient; and determining a path offset condition according to the current implantation path and the target implantation path, wherein the path offset condition is used for indicating whether path offset exists or not. The method and the device are used for recognizing path deviation in the nail implanting process based on a robot, and the path precision judgment capability and the operation safety of a robot operation system are improved. And meanwhile, additional visual navigation equipment is not needed, so that the system complexity and cost are reduced.

The invention discloses an electric power two-ticket intelligent question-answering system based on an RAG technology and a knowledge graph, and belongs to the technical field of application of artificial intelligence in an electric power system. Aiming at the problems of knowledge update lag, weak logical reasoning and poor result interpretability in the existing electric power two-ticket generation and question-answering technology, the system constructs an electric power knowledge graph of explicit modeling equipment, operation and rule relationships by dynamically collecting and fusing multi-source heterogeneous electric power data; real-time retrieval and multi-hop reasoning are carried out by utilizing a retrieval enhancement generation technology in cooperation with the knowledge graph, so that the information accuracy and the logic depth are ensured; and dynamically generating a precise instruction for guiding a large language model in combination with task-driven interaction, finally outputting a structured operation ticket or question and answer result, and providing a visual reasoning path and a full-link audit log. According to the invention, intelligentization, real-time performance and credibility of electric power two-ticket management are realized, and ticket generation efficiency, operation safety and compliance traceability are significantly improved.

The invention discloses a remote vehicle locking method, which belongs to the technical field of vehicle remote control, and comprises the following steps: after a vehicle controller and a vehicle-mounted remote controller terminal are bound and activated, a vehicle remote monitoring platform sends a vehicle locking instruction to the vehicle-mounted remote controller terminal, and the vehicle-mounted remote controller terminal forwards a vehicle locking request to the vehicle controller; and the vehicle controller carries out identity identification verification, and the actual vehicle locking operation is delayed to be executed when the vehicle is powered on and started next time. The invention further discloses a remote vehicle locking system, electronic equipment, a storage medium and a computer program product. Safety accidents caused by vehicle locking in the driving process can be avoided, meanwhile, vehicle locking failure caused by illegal equipment dismantling is prevented, and response timeliness and operation safety are both considered.

The invention relates to a subway riding commodity purchasing and outbound self-pick-up data control system, and discloses a subway riding commodity purchasing and outbound self-pick-up data control system which realizes line binding and code scanning entrance through a subway handle device, performs commodity display through a sales exhibition and festival operation module, and completes locking and self-pick-up through a remote cancel-after-verification and pick-up module. The data control system is convenient for passengers to select and purchase goods in the process of taking the goods and take the goods conveniently when the passengers leave the station. The system is characterized by comprising a subway handle device, a local propaganda module, a sales exhibition module, a festival operation module, an extraction module and a background operation safety module, the sales exhibition module establishes information interaction with the festival operation module and the background operation safety module, and the sales exhibition module establishes information interaction with the extraction module. Information interaction is established between the extraction module and the background operation security module, and information interaction is established between the background operation security module and the local propaganda module and the festival operation module.

The invention discloses a vehicle control method, device and equipment and a medium. The method comprises the following steps: acquiring first running state data of a main vehicle and second running state data of a trailer in a set period; determining a joint pose model based on the first operation state data and the second operation state data; determining a target control sequence based on the joint pose model and a trailer expected target pose; and controlling target operation data of the main vehicle according to the target control sequence. According to the technical scheme, the multi-source sensor data of the main vehicle and the multi-source sensor data of the trailer are fused, the dynamically-coupled joint pose model is constructed, intelligent cooperation between the main vehicle and the trailer is achieved, therefore, the motion state of the vehicle is controlled, and the vehicle operation safety and the user experience are improved.

The invention relates to an authentication method based on a super SIM (Subscriber Identity Module), and a combined enhanced authentication method and device. The authentication method comprises the following steps: acquiring a main authentication authorization check credibility obtained after authentication of a main authentication method is completed; obtaining an operation pipeline of the main authentication method; performing one-way implicit feature extraction and compression on the operation pipeline of the main authentication method to obtain a one-way implicit feature extraction and compression operation pipeline, and obtaining a corresponding operation safety gradient according to the one-way implicit feature extraction and compression operation pipeline; calculating a decline metric value of the information security level according to the main authentication authorization check credibility and the operation security gradient; and determining whether the authentication is passed or not according to a comparison result between the decline metric value of the information security level and a preset threshold value. According to the method, security authentication based on the super SIM card is used, the abuse risk of biometric authentication can be reduced, the operation complexity can be reduced to the maximum extent, and the validity and security of authorization are ensured.

The application relates to a CAD vector data intelligent preprocessing method based on a multiple recognition mechanism, which comprises the following steps: parsing a DXF file to construct a CAD heterogeneous information graph; extracting text features for a layer node and generating a layer embedding vector through adaptive fusion of a gate unit by aggregating high-order semantic structure features through a meta path; introducing a dynamic threshold decision mechanism to generate a dynamic threshold according to global statistical features of a drawing to determine a background layer; constructing a global dependency graph containing cleaned dependent edges and semantic constraint edges, dividing the global dependency graph into weakly coupled connected subgraphs as independent optimization transactions by using a graph cut algorithm, and performing parallel execution to complete cross-dimension collaborative optimization; setting a multi-level logical checkpoint and generating an atomic operation log, and realizing tracing and accurate recovery based on an incremental storage mechanism. The application has the effects of significantly improving background layer recognition accuracy and scene adaptability, improving collaborative optimization efficiency, and guaranteeing operation safety and traceability.

The application provides an automatic coupling method, an automatic uncoupling method and an electronic device for a rail vehicle. The application precisely controls the automatic coupling process of the rail vehicle by combining laser radar and three-dimensional point cloud data, which has significant beneficial effects. First, the laser radar continuously collects three-dimensional point cloud data, which can monitor the position of the target coupler in real time, and is not affected by environmental factors such as light, rain and snow, overcoming the identification deficiency of the traditional vision system in complex weather. Second, by calculating the distance deviation data between the couplers and adjusting the driving speed according to the preset speed control strategy, it ensures that the first rail vehicle can accurately approach the target coupler at an appropriate speed, reducing the risk of collision or misplacement. In addition, after judging that the preset coupling distance is reached, the coupling closing operation is automatically executed, ensuring the automation and efficiency of the coupling process, reducing the need for manual intervention, and improving the operation safety and reliability.

The invention relates to the technical field of human resource service, and discloses a human resource service transaction platform based on big data, which comprises a shell, a big data host, a touch display screen and a keyboard, the big data host is fixedly installed at the bottom of the shell, the touch display screen is fixedly embedded in the front surface of the shell, and the keyboard is fixedly installed on the bottom of the shell. A drawer is arranged on the front face of the shell and located below the touch display screen, and the keyboard is placed in the drawer. Fixing blocks are fixedly arranged on the two sides of the shell correspondingly, arc-shaped shielding plates are arranged on the two sides of the shell correspondingly, the tops and the bottoms of the arc-shaped shielding plates are rotationally arranged on the fixing blocks through rotating shafts correspondingly, and a driving mechanism for driving the drawer to move and driving the arc-shaped shielding plates to rotate is arranged in the shell. The human resource service transaction platform based on the big data not only has an anti-peep function and ensures the operation safety of consultants, but also can automatically push out the keyboard for use and is more convenient to use.

This utility model discloses a new energy main station security access authentication device, including a security box. The security box has a partition inside, on which a station-side security access authentication device and a field-side security access authentication device are placed. A fixed crossbar is located on the front side of the partition, with rotatable covers rotatably connected to both the upper and lower sides of the fixed crossbar. The security box has corresponding latches with slots. A lock and a knob are located in the middle of the front side of the fixed crossbar. An anti-misoperation rod is rotatably connected to the lower side of the turntable, and the anti-misoperation rod is engaged with the rotating rod of the knob. This utility model protects the interface between the station-side and field-side security access authentication devices through the rotatable covers, allowing operation of the fiber optic connection only with a key, thus ensuring high security. The knob and plug design allow for quick disconnection of all fiber optic connections between the station-side and field-side security access authentication devices, making it suitable for emergency situations.