158 results about "Operations security" patented technology

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.

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 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 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 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 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.

The invention discloses an automobile information safety protection method and device based on a multi-level protection mechanism, equipment and a storage medium, and relates to the technical field of new energy automobiles. At least one of external communication protection configuration, internal communication protection configuration, hardware protection configuration and software protection configuration of a vehicle is detected; and generating a protection detection result, thereby performing real-time monitoring and deep analysis on the network traffic, the host behavior and the vehicle network state, and feeding back the obtained monitoring analysis result to the cloud security operation center, so as to respond to an abnormal event in time, realize comprehensive perception and dynamic evaluation of the vehicle information security state, and improve the safety of the vehicle. Multiple threats such as external attacks, internal tampering, hardware vulnerabilities and software risks are effectively identified, and in combination with cloud collaborative response, early warning is performed on security incidents, so that the adaptive adjustment capability of a protection strategy is remarkably enhanced, the probability of occurrence of security incidents is reduced, and vehicle operation security and user data privacy are guaranteed.

The invention discloses a digital twin monitoring platform based on an extraction automation system. The digital twin monitoring platform comprises a data acquisition layer, a digital twin modeling layer, a monitoring application layer and a data interaction layer. The data acquisition layer acquires various types of data through an edge computing node and a sensor array, and performs preprocessing by adopting an algorithm fusing equipment topology and space-time correlation characteristics. The digital twinborn modeling layer integrates geometric, physical and data driving sub-models, is coupled through a dynamic weight fusion algorithm, and realizes twinborn self-evolution based on a layered reinforcement learning framework comprising a strategy layer, a parameter layer and a structural layer. And the monitoring application layer provides visual monitoring, simulation prediction, fault diagnosis and optimization regulation and control services. The data interaction layer is responsible for platform internal and external data transmission. According to the method, panoramic monitoring, intelligent diagnosis and adaptive optimization of the extraction process are realized, the operation safety, the process precision and the experiment consistency are effectively improved, and data tracing and standardized management in the whole process are supported.

The invention relates to the field of power operation security and protection, and provides a crown block operation scene-based dangerous area identification method and a crown block operation system, and the method comprises the steps: obtaining configuration parameters and a video stream of a current operation scene; performing target detection on the video frame at the current moment to obtain a crown block position; inputting the crown block position and the configuration parameters into a dangerous area calculation model to obtain a dynamic dangerous area based on the crown block position; the dynamic dangerous area comprises an irregular elliptical pattern constructed based on the position of the crown block, the irregular elliptical pattern is divided into an upper half part located on one side of a long axis and a lower half part located on the other side of the long axis, and the lower half part is symmetrical to the upper half part after being compressed. The method can consider the calculation power demand and the accuracy of the delimitation of the dangerous area.

The invention relates to an electricity testing system. The electricity testing system comprises an electricity testing device and an electronic key, and the electronic key can respond to a code acquisition operation and a built-in code of an information acquisition communication port; and under the condition that the obtained electricity testing result is no electricity, the operation code of the lockset is read, and under the condition that the operation code of the lockset is the same as the built-in code of the information acquisition communication port, the lockset is allowed to be opened. On the basis of the electricity testing system, an operator can work under the condition that only an electronic key is carried, great convenience is brought to the operator, and use of various tedious tools in the prior art is reduced; meanwhile, the electricity testing system allows a worker to open the lock only when the electricity testing result of the circuit to be subjected to electricity testing is no electricity and the electronic key has the authority to open the lock, thereby greatly reducing the possibility of misoperation while improving the operation safety.

The utility model discloses a locking structure, a bin gate structure and an instrument, the instrument comprises the bin gate structure, the bin gate structure comprises a gate body and the locking structure, and the gate body is provided with a first protruding part matched with a top block in a stressed mode; and the first lug boss moves along the first inclined surface so as to realize locking. According to the embodiment of the utility model, the integral design of the instrument is realized, so that during locking, internal materials cannot be leaked or internal components cannot be exposed improperly, the detection efficiency of the instrument is improved, the possibility that an operator mistakenly touches and opens the bin door during the operation of the instrument is reduced, and the operation safety is improved; and during unlocking, an operator can identify the lock conveniently, and meanwhile, enough operation space is provided for the operator.

The invention belongs to the technical field of intelligent medical control, and particularly relates to a hysteroscope surgical robot control method and system combining visual servo and remote cooperative operation. According to the method, time difference, spatial difference and image error between input of an operation terminal and response of a robot are analyzed through multi-mode information collection, a deviation index set is constructed, an operation mode is judged according to the deviation index set, real-time switching among an autonomous mode, a cooperative mode and a guiding mode is achieved, and a corrected or amplitude-limited control instruction is output. The system further combines image features and tactile feedback to realize real-time adjustment of the position of the instrument, and generates an image prompt layer according to the risk level and outputs visual warning information. And under the condition that the error continuously exceeds the limit, the system can automatically execute forced amplitude limiting and area locking, so that the operation safety is improved. By constructing a closed-loop control link, high-precision collaboration and safe intervention in remote minimally invasive operation are realized, and the method has a good clinical application prospect.

The utility model relates to industrial equipment control technical field, specifically disclose a wireless remote control device of trolley type shot blasting cleaning equipment. The device includes the receiver set up in the equipment electric control cabinet and the remote control transmitter wireless communication with it, and the receiver is connected to the PLC digital input module of electric control cabinet through the cable. The remote control transmitter shell integrates the emergency stop button, the car platform advances and retreats control key, the cleaning room door key and the workpiece forward and reverse key, realizes wireless radio frequency signal transmission through microcontroller and receiving antenna. The device solves the equipment control blind area problem caused by the limited vision of the operation personnel in the electric control room through the wireless remote control mode, realizes the remote accurate control to the trolley walking, electric door opening and closing and workpiece rotation, effectively avoids the cable pull off, chain damage and other security risks. Its simple and reliable structure does not need to transform the equipment main part, significantly improves the operation safety and operation efficiency, and is suitable for existing equipment upgrading and new equipment matching application.

The invention relates to the field of thermal indicating devices in the form of multi-temperature irreversible thermal indicators having a thermal indication scale that includes small thermal sensitive elements and an additional large thermal sensitive element. The present irreversible thermal indicator comprises a base having disposed thereon thermal sensitive elements that are capable of irreversibly changing their external appearance when respective corresponding threshold temperatures are reached, said thermal sensitive elements including at least two small thermal sensitive elements (STE1 and STE2) having different activation temperatures and at least one large thermal sensitive element (LTE). The area of the LTE is at least twice as large as the area both of STE1 and of STE2. The invention provides for the increased operational safety of equipment provided with thermal indicators according to the invention by allowing easy interpretation of the thermal indicator monitoring results without decreasing the informational value thereof.

The application discloses an immersion server operation control method and system, and relates to the technical field of immersion cooling, which comprises the following steps: judging whether the liquid level is higher than the preset starting liquid level, activating the cooling liquid circulating system to confirm the liquid flow; optimizing the cooling liquid inflow speed according to the feedback of the flow rate sensor, and monitoring the liquid level stable state in the server cabinet; judging whether the cooling liquid leaks based on the liquid level speed-up and flow rate deviation, triggering an alarm when the liquid level is insufficient, and automatically adjusting the liquid level and the circulation time. The method improves the automation level and operation safety of the system, ensures sufficient supply of the cooling liquid under high load conditions of the server, reduces downtime caused by leakage of the cooling liquid, reduces long-term operation cost of the system through timely maintenance notification, ensures quick recovery of the system when leakage occurs through automatic adjustment of the liquid level and the circulation time, and thus improves the reliability and fault recovery capability of the system.

The disclosure relates to a method, a computer apparatus and a system for automatically recognizing an anomaly in a machine operation. The machine operation is, in particular, of machines for filling and packaging food and / or beverages. Anomaly recognition comprises the capturing of sensor data, the automatic categorization of these data according to operating states and the extraction of relevant features for each category of operating states. Threshold values are specified with the aid of statistical methods in order to define precise operating limits. This model is monitored and adjusted in order to respond to anomalies at an early stage and ensure operational safety. The disclosure creates a robust monitoring system that makes it possible to monitor the condition of the machine system in real time and respond at an early stage to deviating operating conditions. This contributes to increasing operational safety, avoiding downtime and optimizing maintenance processes.

The invention discloses a power system operation security constraint generation method and a system with the power system operation security constraint generation method, and the method comprises the four steps of simulation database generation, key constraint variable extraction, security constraint quantitative representation and security constraint generation. Constraint generation of a complex large-scale power system considering transient stability and safety is realized. Quantifying an incidence relation between a steady state variable and transient stability of a power grid by using mutual information entropy, extracting a key constraint variable, and realizing dimension reduction of a multi-dimensional state variable of a complex system; and fitting a mapping relation between the key constraint variable and the transient stability by using a decision tree, and further realizing quantification of the security constraint. The method can effectively deal with the problem that the security constraint is difficult to generate due to high variable dimension and difficult mechanism modeling of the complex large-scale power system, provides an effective optimization boundary for dispatching and planning of the power system considering transient stable operation safety, and is of great significance for realizing reliable and stable novel power system construction.

The invention relates to the technical field of vehicle control and human-computer interaction technologies, and discloses a seat gesture sensing self-defined rapid adjustment interaction method. The method comprises the following steps: establishing an interaction baseline containing a space region and a time rule through initialization; then, gesture signals are collected, stability evaluation and lightweight recognition are carried out, and mistaken touch risk evaluation is completed synchronously; mapping according to an identification result to generate a function calling item containing a parameter draft; performing security constraint check and conflict arbitration, and outputting a final control parameter and an arbitration sequence; and finally, through integrated processing of instruction issuing, receipt collection and feedback learning, dynamically updating a user preference portrait and adjusting a threshold. According to the method, closed-loop self-adaptive control from gesture sensing to seat adjustment is realized, and the personalized level of interaction, the operation safety and the continuous optimization capability of the system are effectively improved.

The invention discloses a transformer substation E-key lock management method and system. The method comprises the steps that an operation order is converted into a structured sequence diagram through operation sequence modeling; dynamic permission activation is realized based on a state machine model; performing five-prevention logic real-time verification in linkage with a substation monitoring system; digital signature and bidirectional authentication are adopted to ensure instruction security; local decision execution is realized through intelligent verification of the lockset; a sequence state is automatically advanced based on an operation progress. The system comprises a management background, an intelligent mobile terminal and an intelligent electronic lock, and a complete closed-loop management system is formed. According to the invention, deep binding of lock operation and substation operation processes is realized, the technical problems of extensive management and disjunction with safety regulations of a traditional lock are solved, and the operation safety, the operation and maintenance efficiency and the system reliability are remarkably improved.