Intelligent Anti-misoperation Interlocking System and Method for Unmanned Operation and Maintenance Plants Based on Intelligent Passive Fusion Technology

Abstract

This invention relates to the field of safe operation and maintenance technology for electrochemical energy storage stations, specifically to an unmanned, remote operation and maintenance intelligent anti-misoperation interlocking system and method based on intelligent passive fusion technology. The method includes acquiring operation ticket data and verifying its integrity; parsing the verified operation tickets; identifying the unlocking / locking tasks corresponding to sequential locks, non-sequential locks, and area locks; establishing a scenario-based configurable logic verification rule base, comparing the unlocking / locking task sequence with the standard operation sequence rule chain item by item; generating a dynamic encrypted authorization package and issuing it to a designated smart key; the smart key reading the unique identifier sent by the passive lock; and verifying the identifier locally on the smart key. When all verifications pass, the target passive lock is triggered to perform an unlocking action. This system flexibly adapts to different operation scenarios, solving the problem that traditional interlocking systems cannot flexibly handle multiple operation types.

Description

Technical Field

[0001] This invention relates to the field of safe operation and maintenance technology for electrochemical energy storage stations, specifically to an unmanned, remote operation and maintenance intelligent anti-misoperation interlocking system and method for power plants based on intelligent passive fusion technology. Background Technology

[0002] With the large-scale construction of electrochemical energy storage stations, there are numerous high-voltage switchgear, battery compartments, grounding piles, and other equipment within the stations, making operation and maintenance logic complex. To prevent electrical misoperation during operation and maintenance, a traditional five-prevention system for power systems is designed for electrochemical energy storage stations and applied to this scenario. This system prevents accidental opening and closing of circuit breakers, prevents opening and closing of disconnecting switches under load, prevents grounding wires from being connected while energized, prevents closing circuit breakers with grounding wires connected, and prevents accidental entry into energized compartments.

[0003] However, traditional power five-prevention interlocking systems use conventional electronic locks, rely on external power supply and wireless communication, and are susceptible to interference in the strong electromagnetic, high-temperature and humid environment of energy storage stations. Furthermore, as unmanned operation and remote maintenance gradually become the mainstream operation and maintenance methods for electrochemical energy storage stations, the lack of on-site personnel to promptly investigate and handle communication interruptions and power supply failures poses security risks such as remote signal hijacking and illegal connections, seriously threatening the operation and maintenance safety of the plant.

[0004] Meanwhile, the interlocking logic of the five-prevention interlocking system is pre-programmed and fixed, making it difficult to adapt to the changing operating modes and complex maintenance scenarios of energy storage stations. During remote operation and maintenance, it cannot flexibly adjust the interlocking logic according to the real-time operating conditions on site, making it difficult to meet the dynamic operation and maintenance needs in unmanned operation mode. The system's operation authorization mechanism is static and fixed, which cannot be dynamically controlled by combining the equipment's energized status, personnel's permission level, and operation time window. It lacks real-time dynamic verification and sequential control of operation steps, and cannot effectively prevent skipping or missing steps due to human negligence. The actual unlocking operation lacks a closed-loop management process, and after forced unlocking in unmanned operation scenarios, remote responsibility traceability cannot be achieved, which does not comply with the closed-loop principle of power safety management. Summary of the Invention

[0005] To address the aforementioned problems, this invention provides, in one aspect, a method for intelligent anti-misoperation interlocking of unmanned, remote operation and maintenance plants based on intelligent passive fusion technology, comprising: The back-end management system obtains operation ticket data and performs integrity verification on the operation ticket data; it parses the verified operation tickets, extracts the operation sequence number, dual name of the equipment and operation terminology for each operation item in the operation ticket, and identifies the action type based on the operation data to generate triple data; Based on the dual names of the equipment, the equipment ledger is queried, and the unlocking and locking tasks corresponding to sequential locks, non-sequential locks, and area locks are identified respectively. Based on the triplet data, an unlocking and locking task sequence containing lock identifier, action type, and operation sequence is generated. Establish a scenario-based configurable logic verification rule library, match the corresponding scenario according to the action type, obtain the preset standard operation sequence rule chain under the scenario, compare and verify the unlocking and locking task sequence with the standard operation sequence rule chain item by item, and verify the preconditions of each operation to generate verification results. After successful verification, a dynamic encrypted authorization package is generated, which includes the task ID, operator ID, list of authorized locks and operation order, time window, random number, timestamp and digital signature, and the dynamic encrypted authorization package is sent to the designated smart key. The smart key establishes a physical connection with the target passive lock and supplies it with power, reads the unique identifier sent by the passive lock, and verifies the passive lock identifier, current time, and digital signature locally on the smart key. When all verifications pass, the target passive lock is triggered to perform an unlocking action, and the operation information is recorded.

[0006] The operation ticket is parsed using a combination of regular expression matching and semantic analysis by a rule engine. The specific operation is as follows: The system predefines regular expressions for 12 categories of operational terms. It performs coarse matching on the operational ticket using regular expressions to extract operational terms and equipment name fragments from each operational item on the operational ticket. Establish a semantic rule base to map the extracted device name fragments to standard device dual names, and map operation terms to standard action types. The action types are defined as unlocking as 0, locking as 1, and unlocking as 2. Extract the operation sequence number and establish a triplet data structure containing the operation sequence number, dual device name, and action type.

[0007] The regular expressions include unlocking, locking, circuit breaker operation, disconnector operation, grounding switch operation, and trolley operation.

[0008] The step of querying the equipment ledger based on the dual names of the equipment and identifying the unlocking / locking task sequences corresponding to sequential locks, non-sequential locks, and area locks is as follows: If the sequence lock value is 1, an ordered unlocking / locking task is generated based on the operation sequence number. If the sequence lock value is 0, an independent unlocking / locking task is generated by directly matching the lock identifier bound to the dual device name. If the operation item contains the keyword "region operation", then query all associated locks under that region to generate a batch unlocking task. The task contains a list of identifiers for all locks in that region.

[0009] The logical verification rule base includes: rule_name, scene_type, station_id, lock_id, action_type, sort_num, precondition, and is_valid.

[0010] The method for obtaining the standard operation sequence rule chain is as follows: automatically match the corresponding scenario type according to the action type, query all logical verification rules with a rule validity of 1 in the scenario, arrange them in ascending order according to the operation sequence number, and form the standard operation sequence rule chain.

[0011] The specific steps involve comparing and verifying the unlocking / locking task sequence with the standard operation sequence rule chain item by item, and simultaneously verifying the preconditions of each operation. Convert the lock / unlock task sequence and the standard operation order rule chain into a unified triple format (sort_num, lock_id, action_type); compare the total length of the converted lock / unlock task sequence with that of the standard operation order rule chain. If the total lengths are inconsistent, the verification is directly judged as a failure. For lock / unlock task sequences of the same total length and standard operation sequence rule chain, lock ID consistency check, operation type consistency check and operation sequence consistency check are executed sequentially. If any consistency check fails, the check is deemed to have failed. Obtain the preconditions for each lock operation in the standard operation sequence rule chain. The preconditions include equipment status preconditions, operation sequence preconditions, operation time window preconditions, and environmental parameter preconditions. Perform precondition verification on the lock / unlock task sequence. If any operation precondition in the lock / unlock task sequence is not met, the verification fails. If all consistency verifications are successful and the preconditions are met, output the verification pass result.

[0012] The specific steps for verifying the passive lock identifier, current time, and digital signature locally on the smart key are as follows: The identifier sent by the passive lock is verified to determine whether the lock identifier is in the authorized lock list of the dynamic encrypted authorization packet; and the operation sequence of the passive lock is verified to determine whether it is consistent with the operation sequence in the authorized lock list. Perform authorization time window verification to determine whether the current time is within the authorization effective period; Perform digital signature verification by decrypting and verifying the digital signature of the dynamically encrypted authorization packet using the public key; If all verifications pass, the smart key sends an unlocking command, and the target passive lock performs an electromagnetic release action to complete the unlocking. If any verification fails, the smart key refuses to perform the unlocking action and triggers an alarm.

[0013] The fully dynamic anti-misoperation locking operation method also includes, for passive locks that are forcibly unlocked, recording abnormal unlocking information and collecting on-site images through a smart key, generating an abnormal operation record and triggering an alarm.

[0014] Another aspect of the present invention provides an unmanned, remote operation and maintenance intelligent anti-misoperation interlocking system for power plants based on intelligent passive fusion technology, which is used to implement the intelligent anti-misoperation interlocking method described above, including a background management system deployed in the central control center, an intelligent management machine located locally at the energy storage station, an intelligent key, and passive locks installed on various devices at the energy storage station.

[0015] Beneficial effects: This invention is an intelligent anti-misoperation interlocking system and method for unmanned operation and remote maintenance plants based on intelligent passive fusion technology. It adopts a dual parsing method of regular expression matching and semantic rule base parsing to realize the intelligent parsing of non-standard operation tickets, which solves the problems of single acquisition channels and non-standard parsing of traditional operation tickets. Furthermore, it generates ordered unlocking and locking tasks, independent unlocking and locking tasks, or batch unlocking tasks according to the lock type and regional operation requirements, flexibly adapting to different operation scenarios and solving the problem that traditional interlocking systems cannot flexibly cope with multiple operation types. Meanwhile, a scenario-based configurable logic verification rule library is established, supporting the visual configuration and dynamic updates of rules to adapt to the complex operation logic of different sites and devices. The system verifies each item from multiple dimensions, including task sequence length, lock ID, operation type, operation order, and preconditions, strictly controlling the locking and unlocking operation process of locks, effectively preventing misoperations such as skipping steps and reversing order, and significantly improving the accuracy of preventing accidental locking.

[0016] The system adopts a fusion architecture of passive locks and smart keys. The locks have no power supply and no wireless communication, eliminating the risk of electromagnetic interference and remote hijacking at the physical layer. Through dynamic encrypted authorization and local offline verification, it can still operate securely even when the network is interrupted. It is perfectly adapted to unattended and remote operation and maintenance scenarios, realizes full traceability of responsibility for the entire operation process, and fully meets the requirements of power safety management. Attached Figure Description

[0017] The solutions and advantages of this application will become clear to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of the invention.

[0018] In the attached diagram: Figure 1This is a flowchart illustrating the fully dynamic anti-misoperation interlocking operation method based on intelligent passive fusion technology. Detailed Implementation

[0019] Exemplary embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. Example

[0020] See Figure 1 This embodiment provides an intelligent anti-misoperation interlocking method for unmanned, remote operation and maintenance plants based on intelligent passive fusion technology. The method is based on a system architecture consisting of a back-end management system, smart keys, and passive locks. The specific implementation steps are as follows: S1. The back-end management system obtains operation ticket data and performs integrity verification on the operation ticket data; it parses the verified operation tickets, extracts the operation sequence number, dual name of the equipment and operation terminology of each operation item in the operation ticket, and identifies the action type based on the operation data to generate triplet data; The back-end management system obtains operation ticket data through real-time interface acquisition or manual import.

[0021] The real-time interface acquisition method involves receiving standardized operation ticket data in real time via an interface of a power grid management platform conforming to the IEC 61850 standard, using the MQTT protocol. The data fields of the operation ticket include operation ticket name, operation task name, operation item, operator, supervisor, operation time, and a list of operation items. The manual import acquisition method involves importing operation ticket data in Excel format according to a preset module.

[0022] The back-end management system automatically verifies the completeness of operation tickets, and the specific method is as follows: Identify all required fields and their formats on the operation ticket; determine if the operation ticket contains all required fields or if the formats of each required field are correct. If a required field is empty or has an incorrect format, the validation fails, and the specific error message is returned with the missing or incorrect fields highlighted, prompting for correction.

[0023] The operation ticket is parsed using a combination of regular expression matching and semantic analysis by a rule engine. The specific operation is as follows: S101. Predefined regular expressions for 12 types of operation terms. The operation ticket is coarsely matched using regular expressions to extract the operation terms and equipment name fragments from each operation item in the operation ticket. The 12 categories of operational terms include the following regular expressions: Unlocking: Removing. Locking device, open. Lock, unlock. ; Locked-in type: Input. Locking device; closing. Lock; locking. ; Circuit breaker operation: Open. Circuit breaker, close. breaker; Disconnector switch operation: Open. Close the isolating switch. Disconnecting switch; Grounding switch operation: Close. Open the grounding switch. Grounding switch; Handcart operation: [This is a direct translation of the Chinese text, which is not translated here.] The handcart was pulled to the test position. Push the handcart to the work position.

[0024] S102. Establish a semantic rule base, map the extracted device name fragments to standard device dual names, map operation terms to standard action types, and define the action types as unlocking as 0, locking as 1, and unlocking as 2. S103. Extract the operation sequence number and establish a triplet data structure containing the operation sequence number, dual device name, and action type.

[0025] S2. Query the equipment ledger according to the dual name of the equipment, identify the unlocking and locking tasks corresponding to sequential locks, non-sequential locks and area locks respectively, and generate an unlocking and locking task sequence containing lock identifier, action type and operation sequence based on triple data; If the sequence lock value is 1, an ordered unlocking / locking task is generated based on the operation sequence number. If the sequence lock value is 0, an independent unlocking / locking task is generated by directly matching the lock identifier bound to the dual device name, without restricting the operation sequence. If the operation item contains keywords such as "area operation", "batch unlock", or "cabin access", then query all associated locks under that area to generate a batch unlock task. The task contains a list of identifiers for all locks in that area.

[0026] S3. Establish a scenario-based configurable logic verification rule base, match the corresponding scenario according to the action type, and obtain the preset standard operation sequence rule chain under the scenario. Compare and verify the unlocking and locking task sequence with the standard operation sequence rule chain item by item, and verify the preconditions of each operation to generate verification results. Establish a scenario-based configurable logic verification rule base, which includes: rule number (rule_name), scenario type (scene_type), station number (station_id), lock number (lock_id), action type (action_type), operation sequence number (sort_num), precondition, and rule validity (is_valid).

[0027] The scene type is defined as follows: 0_Main transformer power outage, 1_Line maintenance, 2_Bus switching, 3_Grounding wire connection / removal, and 4_Daily inspection scenario.

[0028] The backend management system automatically matches the corresponding scenario type based on the action type, queries all logical validation rules with valid is_valid=1 in that scenario, and sorts them in ascending order by the operation sequence number sort_num to form a standard operation sequence rule chain. The specific steps involve comparing and verifying the unlocking / locking task sequence with the standard operation sequence rule chain item by item, and simultaneously verifying the preconditions of each operation. S301. Convert the lock / unlock task sequence and the standard operation order rule chain into a unified triplet format (sort_num, lock_id, action_type); compare the total length of the converted lock / unlock task sequence with that of the standard operation order rule chain. If the total lengths are inconsistent, the verification will be directly determined as a failure. S302. For the lock / unlock task sequence with consistent total length and the standard operation sequence rule chain, execute the lock ID consistency check, operation type consistency check and operation sequence consistency check in sequence. If any consistency check fails, the check is deemed to have failed. Record the reason for the check failure and issue an alarm. Lock ID consistency check: Compare the lock_id field of the lock / unlock task sequence with the standard operation sequence rule chain. If they are inconsistent, the lock does not match.

[0029] Operation type consistency check: Compare the action_type field of the unlocking task sequence with the standard operation sequence rule chain. If they are inconsistent, the operation type does not match.

[0030] Operation order consistency check: Verify that the sort_num of all elements in the unlocking task sequence is completely consistent with the operation order number of the standard operation order rule chain, and prohibit any skipping, reversing or parallel operations.

[0031] S303. Obtain the preconditions for each lock operation in the standard operation sequence rule chain. The preconditions include equipment status preconditions, operation sequence preconditions, operation time window preconditions, and environmental parameter preconditions. Perform precondition verification on the lock / unlock task sequence. If any operation precondition in the lock / unlock task sequence is not met, the verification fails, and the unmet precondition is recorded. If all consistency verifications are successful and the preconditions are met, the verification result is output.

[0032] S4. After successful verification, a dynamic encrypted authorization package is generated, which includes the task ID, operator ID, list of authorized locks and operation order, time window, random number, timestamp and digital signature, and the dynamic encrypted authorization package is sent to the designated smart key. In this embodiment, the field composition of the authorization package is shown in Table 1.

[0033] Table 1. Details of the fields in the authorization package

[0034] The system generates random numbers and timestamps, which are then filled into the required fields of the authorization package. The system uses the private key of the backend management system to perform an SM7 digital signature on the plaintext data of the authorization package, and appends the signature result to the end of the authorization package to form a complete dynamic encrypted authorization package.

[0035] S5. The smart key establishes a physical connection with the target passive lock and supplies it with power, reads the unique identifier sent by the passive lock, and verifies the passive lock identifier, current time and digital signature locally on the smart key. When all verifications pass, the target passive lock is triggered to perform the unlocking action and the operation information is recorded. During actual use at the energy storage station, the smart key provides 3.3V DC power to the passive lock through its metal contacts, activating the low-power MCU inside the lock; the passive lock sends its unique hardware identifier and current status code to the smart key via 9600bps infrared communication.

[0036] The specific steps for verifying the passive lock identifier, current time, and digital signature locally on the smart key are as follows: The identifier sent by the passive lock is verified to determine whether the lock identifier is in the authorized lock list of the dynamic encrypted authorization packet; and the operation sequence of the passive lock is verified to determine whether it is consistent with the operation sequence in the authorized lock list. Perform authorization time window verification to determine whether the current time is within the authorization effective period; Perform digital signature verification by decrypting and verifying the digital signature of the dynamically encrypted authorization packet using the public key; Once all verifications are successful, the smart key sends an unlocking command, and the target passive lock performs an electromagnetic release action to complete the unlocking. At the same time, the smart key stores the operation record locally, including timestamp, lock ID, operator ID, and operation result. If any verification fails, the smart key will refuse to perform the unlocking action, trigger an alarm, and store the failure record locally.

[0037] After the passive lock is engaged and disengaged, the smart key will synchronize all locally stored operation records to the back-end management system, forming a complete operation audit chain.

[0038] In addition, when the target passive lock cannot be unlocked normally due to lock cylinder jamming or circuit failure, the fully dynamic anti-misoperation locking operation method also includes recording abnormal unlocking information and collecting on-site images through the smart key for the passive lock that is forcibly unlocked, generating an abnormal operation record and triggering an alarm.

[0039] For passive locks that cannot be unlocked normally due to malfunction, a special demolition tool is used to physically open the passive lock. After forced unlocking, abnormal unlocking information is recorded through the smart key, including the reason for the operation, the name of the operator, and the name of the witness, and photos of the scene are collected simultaneously. The smart key encrypts the abnormal unlocking information and uploads it to the back-end management system. The back-end management system generates an abnormal unlocking record and automatically generates an abnormal unlocking work order, which is reviewed by the administrator in a timely manner. After the review is approved, the lock is replaced, and the lock ledger information is updated in the back-end management system.

[0040] This embodiment also provides an unmanned, remote operation and maintenance intelligent anti-misoperation interlocking system for power plants based on intelligent passive fusion technology, including a background management system deployed in the central control center, an intelligent management machine located locally at the energy storage station that supports offline operation, an intelligent key with a built-in national cryptographic SM7 security chip, and passive locks installed on various devices at the energy storage station.

[0041] The backend management system includes a database storage layer, a gateway layer, a business layer, and a front-end presentation layer. The database storage layer is used for storing operation records, log data, and a logic validation rule base. The business layer is used for operation ticket parsing services, task management services, logic validation services, dynamic authorization services, and alarm services. The gateway layer is responsible for request routing, permission verification, and log recording. The front-end displays an interface that provides functions such as operation ticket management, task management, logic rule configuration, real-time alarms, and system management.

[0042] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the rights involved.

Claims

1. A method for intelligent anti-misoperation interlocking of unmanned, remote operation and maintenance plants based on intelligent passive fusion technology, characterized in that, include: The back-end management system obtains operation ticket data and performs integrity verification on the operation ticket data; The completed operation ticket is parsed to extract the operation sequence number, dual name of equipment and operation terminology of each operation item in the operation ticket, and the action type is identified based on the operation data to generate triple data; Based on the dual names of the equipment, the equipment ledger is queried, and the unlocking and locking tasks corresponding to sequential locks, non-sequential locks, and area locks are identified respectively. Based on the triplet data, an unlocking and locking task sequence containing lock identifier, action type, and operation sequence is generated. Establish a scenario-based configurable logic verification rule library, match the corresponding scenario according to the action type, obtain the preset standard operation sequence rule chain under the scenario, compare and verify the unlocking and locking task sequence with the standard operation sequence rule chain item by item, and verify the preconditions of each operation to generate verification results. After successful verification, a dynamic encrypted authorization package is generated, which includes the task ID, operator ID, list of authorized locks and operation order, time window, random number, timestamp and digital signature, and the dynamic encrypted authorization package is sent to the designated smart key. The smart key establishes a physical connection with the target passive lock and supplies it with power, reads the unique identifier sent by the passive lock, and verifies the passive lock identifier, current time, and digital signature locally on the smart key. When all verifications pass, the target passive lock is triggered to perform an unlocking action, and the operation information is recorded.

2. The intelligent anti-misoperation interlocking method for unmanned, remote operation and maintenance plants according to claim 1, characterized in that, The operation ticket is parsed using a combination of regular expression matching and semantic analysis by a rule engine. The specific operation is as follows: The system predefines regular expressions for 12 categories of operational terms. It performs coarse matching on the operational ticket using regular expressions to extract operational terms and equipment name fragments from each operational item on the operational ticket. Establish a semantic rule base to map the extracted device name fragments to standard device dual names, and map operation terms to standard action types. The action types are defined as unlocking as 0, locking as 1, and unlocking as 2. Extract the operation sequence number and establish a triplet data structure containing the operation sequence number, dual device name, and action type.

3. The intelligent anti-misoperation interlocking method for unmanned, remote operation and maintenance plants according to claim 2, characterized in that, The regular expressions include unlocking, locking, circuit breaker operation, disconnector operation, grounding switch operation, and trolley operation.

4. The intelligent anti-misoperation interlocking method for unmanned, remote operation and maintenance plants according to claim 1, characterized in that, The step of querying the equipment ledger based on the dual names of the equipment and identifying the unlocking / locking task sequences corresponding to sequential locks, non-sequential locks, and area locks is specifically as follows: If the sequence lock value is 1, an ordered unlocking / locking task is generated based on the operation sequence number. If the sequence lock value is 0, an independent unlocking / locking task is generated by directly matching the lock identifier bound to the dual device name. If the operation item contains the keyword "region operation", then query all associated locks under that region to generate a batch unlocking task. The task contains a list of identifiers for all locks in that region.

5. The intelligent anti-misoperation interlocking method for unmanned, remote operation and maintenance plants according to claim 1, characterized in that, The logical verification rule base includes: rule_name, scene_type, station_id, lock_id, action_type, sort_num, precondition, and is_valid.

6. The intelligent anti-misoperation interlocking method for unmanned, remote operation and maintenance plants according to claim 1, characterized in that, The method for obtaining the standard operation sequence rule chain is as follows: automatically match the corresponding scenario type according to the action type, query all logical verification rules with a rule validity of 1 in the scenario, arrange them in ascending order according to the operation sequence number, and form the standard operation sequence rule chain.

7. The intelligent anti-misoperation interlocking method for unmanned, remote operation and maintenance plants according to claim 6, characterized in that, The specific steps involve comparing and verifying the unlocking / locking task sequence with the standard operation sequence rule chain item by item, and simultaneously verifying the preconditions of each operation. Convert the lock / unlock task sequence and the standard operation order rule chain into a unified triple format (sort_num, lock_id, action_type); compare the total length of the converted lock / unlock task sequence with that of the standard operation order rule chain. If the total lengths are inconsistent, the verification is directly judged as a failure. For lock / unlock task sequences of the same total length and standard operation sequence rule chain, lock ID consistency check, operation type consistency check and operation sequence consistency check are executed sequentially. If any consistency check fails, the check is deemed to have failed. Obtain the preconditions for each lock operation in the standard operation sequence rule chain. The preconditions include equipment status preconditions, operation sequence preconditions, operation time window preconditions, and environmental parameter preconditions. Perform precondition verification on the lock / unlock task sequence. If any operation precondition in the lock / unlock task sequence is not met, the verification fails. If all consistency verifications are successful and the preconditions are met, output the verification pass result.

8. The intelligent anti-misoperation interlocking method for unmanned, remote operation and maintenance plants according to claim 1, characterized in that, The specific steps for verifying the passive lock identifier, current time, and digital signature locally on the smart key are as follows: The identifier sent by the passive lock is verified to determine whether the lock identifier is in the authorized lock list of the dynamic encrypted authorization packet; and the operation sequence of the passive lock is verified to determine whether it is consistent with the operation sequence in the authorized lock list. Perform authorization time window verification to determine whether the current time is within the authorization effective period; Perform digital signature verification by decrypting and verifying the digital signature of the dynamically encrypted authorization packet using the public key; If all verifications pass, the smart key sends an unlocking command, and the target passive lock performs an electromagnetic release action to complete the unlocking. If any verification fails, the smart key refuses to perform the unlocking action and triggers an alarm.

9. The intelligent anti-misoperation interlocking method for unmanned, remote operation and maintenance plants according to claim 1, characterized in that, The fully dynamic anti-misoperation locking operation method also includes, for passive locks that are forcibly unlocked, recording abnormal unlocking information and collecting on-site images through a smart key, generating an abnormal operation record and triggering an alarm.

10. A smart anti-misoperation interlocking system for unmanned and remote operation and maintenance plants based on intelligent passive fusion technology, implementing the intelligent anti-misoperation interlocking method for unmanned and remote operation and maintenance plants as described in claim 1, characterized in that, This includes a back-end management system deployed in the central control center, an intelligent management unit located at the energy storage station, intelligent keys, and passive locks installed on various devices at the energy storage station.

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