Electroscope intelligent use management method and system, and electronic device

Abstract

The present application relates to the field of intelligent management, in particular to a method and system for intelligent use management of an electricity tester and an electronic device, the method comprising the following steps: in an offline mode, the electricity tester collects personnel information through RFID or fingerprint, compares the information with preset permissions, and if the comparison is successful, the operation function is unlocked and the information is recorded; if the comparison fails, the electricity testing function is locked, and an unauthorized access event is recorded; in the operation, the running parameters of the electricity tester are collected at fixed time intervals, compared with the standard, and if the comparison is abnormal, an audible and visual alarm is sounded, the function is locked, and fault information is recorded; the operation also encrypts and stores the full amount of operation data, and generates a unique hash value; in a network environment, the electricity tester is configured to automatically connect to the network, send an upload request to the management platform, and attach the electricity tester ID, data total amount and hash value list; the hash values are compared, the data integrity is checked, abnormal data is instructed to be retransmitted, and after confirmation, the synchronization process is entered. The problem of management disconnection of the electricity tester in a network-free scene is effectively solved.

Description

Technical Field

[0001] This invention belongs to the field of intelligent management, specifically relating to intelligent management methods, systems, and electronic devices for the use of electroscopes. Background Technology

[0002] Most current voltage detectors have intelligent network management capabilities. However, in scenarios without network coverage, such as ultra-high-voltage transmission lines in the field and underground mines, the management data of the voltage detectors cannot be uploaded to the cloud platform in real time, leading to the risk of management disconnection. For example, voltage detectors cannot autonomously determine whether their status meets usage standards without network support, and cannot simultaneously record operational data and prevent unauthorized use. Management systems also cannot preset permission thresholds and data storage rules for offline operations. After network restoration, data integrity verification issues arise. When voltage detectors reconnect to the network, it is difficult to ensure that operational data and voltage detector status data from the offline period are not lost and synchronized to the management platform. Furthermore, the lack of effective encryption and verification methods makes it impossible to identify whether data has been tampered with or forged. If someone intentionally tampers with offline voltage detection results and synchronizes them to the platform, it may lead to misjudgments of line safety status by management departments, resulting in unauthorized operations. In underground mines, malicious tampering of fault voltage detection data may also conceal safety hazards. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent management method, system, and electronic device for electroscopes to solve the problems mentioned in the background art.

[0004] To solve the above-mentioned technical problems, the present invention provides the following technical solution: The intelligent management method for electroscopes includes the following steps: The management platform writes offline management rules to the electroscope; in offline mode, the electroscope collects personnel information via RFID or fingerprint and compares it with preset permissions; if the comparison is successful, the operation function is unlocked and the information is recorded; if the comparison fails, the electroscope function is locked and unauthorized access events are recorded; during operation, the electroscope's operating parameters are collected at fixed time intervals and compared with standards; if the comparison is abnormal, an audible and visual alarm is triggered, the function is locked, and fault information is recorded; during operation, all operation data is encrypted and stored, generating a unique hash value, and storage resources are allocated according to preset rules; in a network environment, the electroscope is configured to automatically connect to the network and send an upload request to the management platform, attaching the electroscope ID, total data volume, and hash value list; the management platform performs hash value comparison, verifies data integrity, retransmits instructions for abnormal data, and enters the synchronization process after confirmation of compliance; an index is established based on the electroscope ID and timestamp, conflicting data is forwarded to manual review, and non-conflicting data is archived sequentially; after synchronization is completed, the electroscope clears the synchronized regular data.

[0005] Furthermore, the management platform writes offline management rules to the voltage detector, including: before the voltage detector is put into operation, writing offline management rules, including permission thresholds, status judgment standards, and data storage rules, into its storage. The permission thresholds are bound to the identity information and corresponding operation permissions of the operators, and only authorized personnel can unlock them; the status judgment standards preset the normal operation and abnormal parameter ranges of core components; the data storage rules determine the content and storage priority of offline operation data records, giving priority to retaining voltage detection results and abnormal data, storing regular data according to time, and automatically overwriting the earliest regular data when storage space is insufficient.

[0006] Furthermore, in the offline mode, the voltage detector collects personnel information via RFID or fingerprint and compares it with preset permissions. This includes: when an operator starts the voltage detector in a network-free scenario, the device automatically switches to offline mode and triggers identity verification. It reads the authorized card information or collects fingerprints through the built-in RFID reader and compares the collected identity information with preset permission thresholds. If the comparison is successful, authorization is confirmed, the corresponding voltage detector function is unlocked, and the device enters the workable state. At the same time, the unlocking time and operator information are locally encrypted and recorded. If the comparison fails, the voltage detector function is immediately locked, only the self-test function is retained, and unauthorized access events are locally encrypted and recorded. The device remains locked until an authorized person unlocks it.

[0007] Furthermore, the operation simultaneously encrypts and stores all operation data, generates a unique hash value, and allocates storage resources according to preset rules, including: when the electroscope is operating offline, the data is synchronously encrypted and stored, a unique hash value is generated and associated with the corresponding encrypted data for storage; storage resources are allocated according to preset rules, which include prioritizing the protection of electroscope results, core data of abnormal states that are not overwritten, storing regular data in chronological order, and overwriting the earliest regular data when storage space is insufficient.

[0008] Furthermore, in the network environment, the electroscope is configured to automatically connect to the network and send an upload request to the management platform, including the electroscope ID, total data volume, and hash value list. This includes: after the network recovers, the electroscope automatically scans for available networks in the vicinity, connects according to a preset priority, and sends an encrypted upload request to the management platform after the link stabilizes. The request includes the electroscope's unique ID, total data volume, hash value list, and offline operation period information. The electroscope continuously protects local offline data until it receives a confirmation instruction from the platform. If the connection is interrupted or the request fails, it retryes at intervals and records abnormal events.

[0009] Furthermore, the management platform performs hash value comparison to verify data integrity, instructs retransmission of abnormal data, and enters the synchronization process after confirmation of compliance. This includes: after receiving the encrypted upload request from the electroscope, the management platform extracts the relevant information, compares the hash values ​​of the data item by item according to the preset hash algorithm, if the comparison is inconsistent, it determines that there is a risk of tampering and instructs targeted retransmission, the electroscope retrieves the original data, re-encrypts it to generate a new hash value, and retransmits it first; if the hash values ​​are consistent, it further verifies the data integrity and compliance of the storage format; if key data is found to be missing, it requires supplementation and retransmission and submission of a new hash value, if the verification is successful, it confirms that the data is complete and has not been tampered with, sends a verification pass instruction to enter the subsequent synchronization and archiving process, and temporarily records the verification result.

[0010] Furthermore, the process of establishing an index based on the voltage detector ID and timestamp, forwarding conflicting data to manual review, and archiving conflict-free data in sequence includes: the management platform generating a unique index using the voltage detector ID and timestamp, establishing an index system to check for duplicates and contradictions in synchronized data from multiple devices, marking conflicting data and associating it with complete offline records to push for manual review if data conflict is determined, locking permissions to retain the original data, and archiving valid data and filing invalid data after review; if there is no conflict, archiving the corresponding information in chronological order, updating the traceability identifier, clearing temporary data, and sending an archiving receipt back to the voltage detector.

[0011] Furthermore, the management platform updates the status of the voltage detectors based on synchronized data, marks faulty voltage detectors and reminds users to repair them, and generates traceability records.

[0012] This application also discloses an intelligent management system for the use of voltage detectors, including: The rule writing module is used to write offline management rules to the electroscope; The personnel verification module is used in offline mode to collect RFID / fingerprint information from the electroscope, compare it with preset permissions, process unlocking / locking operations, and record the corresponding information. The operation monitoring module is used to collect the operating parameters of the electroscope at fixed time intervals during operation, compare them with the standard, and trigger audible and visual alarms, lock functions, and record fault information when abnormalities occur. The data encryption and storage module is used to encrypt and store all data during the operation, generate a unique hash value, and allocate storage resources according to preset rules. The network communication module is used to configure the electroscope to automatically connect to the network in a network environment and send an upload request containing the electroscope ID, total data volume and hash value list to the management platform; The data verification module is used to connect to the management platform to compare hash values, check data integrity, retransmit abnormal data instructions, and trigger the synchronization process after confirmation of compliance. The data cleanup module is used to clear the synchronized routine data in the electroscope after synchronization is complete.

[0013] This application also discloses an electronic device, including: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the above-described intelligent use management method for the electroscope of the present invention.

[0014] Beneficial Effects: This application effectively solves the problem of disconnection in voltage detector management in network-free scenarios, achieving full offline process controllability. By pre-writing offline management rules, the voltage detector can autonomously complete personnel permission verification, ensuring that only authorized personnel can unlock functions at the corresponding voltage level, preventing unauthorized use. Simultaneously, it performs real-time self-checks of core parameters, triggering audible and visual alarms and locking the device in case of anomalies, mitigating operational risks associated with faulty equipment. Employing encrypted storage and hash value generation mechanisms, combined with priority storage rules, core data is retained throughout the process without being overwritten, while routine data is intelligently overwritten. This ensures that all operational data is complete and prevents data tampering and theft, building a robust offline data security defense. After network recovery, hash value comparison and integrity checks accurately identify tampered and missing data and retransmit instructions, ensuring complete and tamper-free offline data synchronization. An index based on device ID and timestamp efficiently handles data conflicts, enabling orderly archiving of conflict-free data and manual review of conflicting data, ensuring accurate data synchronization. Attached Figure Description

[0015] Figure 1 This is an overall flowchart of the intelligent use and management method for electroscopes according to the present invention; Figure 2 This is a flowchart illustrating the management process of the intelligent use and management method for electroscopes according to the present invention in an offline environment. Figure 3 This is a flowchart illustrating the management process of the intelligent use and management method for electroscopes according to the present invention in a networked environment. Figure 4 This is a data tamper-proof detection accuracy verification diagram for the intelligent use and management method of the electroscope according to the present invention; Figure 5 This is another data tamper-proof detection accuracy verification diagram for the intelligent use and management method of the electroscope of the present invention. Detailed Implementation

[0016] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0017] This invention provides a method for intelligent use and management of electroscopes, such as... Figure 1 The process includes the following steps: The management platform writes offline management rules to the voltage detector; in offline mode, the voltage detector collects personnel information via RFID or fingerprint and compares it with preset permissions; if the comparison is successful, the operation function is unlocked and the information is recorded; if the comparison fails, the voltage detector function is locked and unauthorized access events are recorded; during operation, the voltage detector's operating parameters are collected at fixed time intervals and compared with standards; if the comparison is abnormal, an audible and visual alarm is triggered, the function is locked, and fault information is recorded; the operation simultaneously encrypts and stores all operation data, generates a unique hash value, and allocates storage resources according to preset rules; in a network environment, the voltage detector is configured to automatically connect to the network and send an upload request to the management platform, attaching the voltage detector ID, total data volume, and hash value list; the management platform performs hash value comparison, verifies data integrity, retransmits instructions for abnormal data, and enters the synchronization process after confirmation; an index is established based on the voltage detector ID and timestamp, conflicting data is forwarded to manual review, and non-conflicting data is archived in sequence; after synchronization is completed, the voltage detector clears the synchronized regular data. It also includes the management platform updating the voltage detector status based on the synchronized data, marking faulty voltage detectors and reminding maintenance, and generating traceability records.

[0018] In a further embodiment, the management platform writes offline management rules to the voltage detector, including: before the voltage detector is put into operation, the management platform writes three core parameters—permission thresholds, status judgment standards, and data storage rules—to the voltage detector's built-in storage. The permission thresholds are bound to the operator's ID number, tool operation qualification code, and corresponding voltage level operation permissions, allowing only authorized personnel to unlock the voltage detector. Furthermore, the voltage detector status judgment standards predefine normal operating parameter ranges for core components such as sensors, neon tubes, and power modules, such as sensor response time controlled within 0.1-0.3 seconds and power supply voltage maintained within 3.0-3.7V. Clear anomaly judgment thresholds are also defined to provide a basis for autonomous verification of equipment status during offline operations. Furthermore, the storage rules use the same encryption method as the management platform, encrypting all offline data in JSON format to ensure the security of locally stored data and prevent data tampering or theft. Data recording items determine the key content that needs to be recorded throughout the entire process, including operation time, latitude and longitude location, voltage detection results, voltage detector real-time status parameters, complete operator information, and unlocking time, ensuring no data is missed throughout the entire operation process. Storage priority follows the principle of prioritizing core data, allocating storage resources first to critical data such as voltage testing results, fault records, and unauthorized access events. Remaining storage space stores routine operation data in chronological order. Overwrite rules only apply to routine operation data. When storage space is insufficient, an automatic overwrite mechanism is triggered, overwriting the earliest generated routine data based on chronological order. Core data is always retained and not overwritten, ensuring the traceability of critical information throughout the process and guaranteeing the continuity and effectiveness of data storage during offline voltage testing. In a further embodiment, refer to... Figure 2In the offline mode, the voltage detector collects personnel information via RFID or fingerprint and compares it with preset permissions. This includes: when the operator starts the voltage detector in a scenario without network access, such as an ultra-high voltage power transmission line or a mine underground, the voltage detector automatically switches to offline mode and simultaneously triggers an identity verification process. The voltage detector reads the identity information stored in the operator's authorization card through a built-in RFID reader, or collects the operator's fingerprint information. Then, it compares the collected identity information with the permission thresholds pre-written and stored in the management platform. The permission thresholds are bound to the operator's ID number, tool operation qualification code, and corresponding voltage level operation permissions. In a further embodiment, if the comparison passes, the operation function is unlocked and information is recorded, including: after confirming that the operator is an authorized person, the voltage detector automatically unlocks the core voltage detection function corresponding to the preset voltage level operation permission, ensuring that only the operation function within the scope of the person's qualifications is open, and simultaneously switches to the workable state, starts preheating, and prepares for the autonomous determination of the status in subsequent operations; the record is simultaneously stored locally, and the recorded content includes the precise unlocking time, the operator's complete identity information, and the corresponding unlocked voltage level operation permission. This record serves as the initial entry for offline operation data and is preferentially retained according to data storage rules. In a further embodiment, if the comparison fails, the voltage detection function is locked and unauthorized access events are recorded, including: when the identity information comparison result is inconsistent, the voltage detector immediately locks the core voltage detection function in all aspects, and no operation such as pressing the device button or restarting can unlock the lock, only retaining its own status self-checking function to ensure that unauthorized personnel cannot carry out voltage detection operations in violation of regulations. Simultaneously, unauthorized access events are encrypted and recorded locally in a preset JSON format. The recorded content includes the precise time of the event, the collected unauthorized identity information (if RFID reading, the corresponding card information; if fingerprint collection, the fingerprint feature summary), the method used for identity verification (RFID reader reading or fingerprint recognition module collection), and the offline positioning latitude and longitude information obtained by the electroscope through its built-in GPS module. Furthermore, these unauthorized access event records are categorized as abnormal state data and are preferentially retained according to preset data storage rules. They will not be overwritten by subsequent routine operation data and will continue to be stored until the network is restored and uploaded to the management platform along with other offline data. During this period, the electroscope remains locked. Even after power is turned off and restarted, the electroscope function remains locked and its self-checking function is maintained. It can only be unlocked by authorized personnel through a preset unlocking process, requiring authorized card verification or fingerprint verification. After unlocking, the unauthorized access event record is still retained and archived in conjunction with subsequent operation data to ensure full traceability and prevent tampering or omission of unauthorized access events.In a further embodiment, the operation involves collecting the operating parameters of the voltage detector at fixed time intervals and comparing them with standards. If an anomaly is detected, an audible and visual alarm is triggered, the function is locked, and fault information is recorded. This includes: when the voltage detector is in offline operation, it continuously collects its own core operating parameters at fixed time intervals. The collection range includes key indicators such as sensor sensitivity, real-time power supply voltage, and operating temperature of core components. After collection, each parameter is immediately compared with the status judgment standard pre-written in the management platform. The status judgment standard has determined the normal operating parameter range and abnormal threshold of the sensor core components. If all collected parameters are within the preset normal range, the voltage detector maintains its current operable state and continues to synchronously carry out voltage detection and data recording. If any parameter exceeds the abnormal threshold, the voltage detector immediately activates an alarm. For example, if the sensor response time is greater than 0.3 seconds, the power supply voltage is lower than 3.0V, or the core component temperature exceeds the safe range, the voltage detector immediately activates the audible and visual alarm mechanism, emitting a continuous buzzing sound accompanied by a rapidly flashing red light, and instantly locking the core voltage detection function to prevent the faulty equipment from continuing to operate, retaining only its own status self-check and data storage functions. Simultaneously, fault information is recorded locally. This record includes the precise time of the fault, the specific fault type, the corresponding abnormal parameter values, the offline location latitude and longitude information at the time of the fault, and the environmental parameters at the time of the fault, such as temperature and humidity. It also associates this with previously recorded operator identity information and unlocking time. This fault information is categorized as abnormal state data and is preferentially retained according to data storage rules. It will not be overwritten by subsequent regular operation data until the network is restored and it is uploaded to the management platform along with other offline data, ensuring full traceability of the fault event. In a further embodiment, the operation simultaneously encrypts and stores all operation data, generates a unique hash value, and allocates storage resources according to preset rules. This includes: during offline operation, the voltage detector simultaneously encrypts and stores all operation data, generates hash values, and allocates storage resources, following the data storage rules preset by the management platform. The full operation data includes the precise operation time of each voltage test, offline location latitude and longitude information, voltage test object number, voltage test result, operation step details, and all key items of the voltage detector's own operating parameters and operator identity information collected simultaneously. The voltage detector's own operating parameters include sensor sensitivity, real-time power supply voltage, and core component temperature, ensuring no data omissions. Each complete data collection is encrypted using the same encryption algorithm as the management platform and then stored in JSON format. At the same time, a unique hash value is generated based on the complete content of the data. The hash value is associated with the corresponding encrypted data and stored. The hash value serves as the core basis for data integrity and anti-tampering verification after subsequent network recovery and cannot be modified or deleted independently.The storage resource allocation follows a preset priority, prioritizing storage resources for voltage testing result data and abnormal status data to ensure that such core data is not overwritten throughout the process. Remaining storage space is used to store routine operation data, stored sequentially according to the operation time. When storage space is about to run out, a routine data overwrite mechanism is automatically triggered, overwriting only the earliest generated routine operation data, always reserving sufficient space for newly added core data. The entire storage process does not affect the normal operation of the voltage tester's real-time operation and autonomous status determination function, ensuring that data storage and the operation process proceed synchronously without interference. In a further embodiment, refer to [reference needed]. Figure 3In the network environment, the electroscope is configured to automatically connect to the network and send an upload request to the management platform, including the electroscope ID, total data volume, and hash value list. This includes: when the electroscope enters a network coverage area or the network signal is restored, it immediately initiates a network scan, automatically searching for available networks in the vicinity, including the pre-set dedicated network for the work area, mobile networks, and compliant Wi-Fi networks. It attempts to connect to these networks sequentially according to the network connection priority pre-written by the management platform, prioritizing access to the dedicated work network to ensure data transmission security. After a successful network connection, the electroscope simultaneously completes its own network status verification. Once the transmission link is confirmed to be stable, it immediately initiates an encrypted upload request to the management platform. The requested data is processed using the same encryption method as the offline work data to ensure it is not tampered with during transmission. In addition to the unique hardware ID of the electroscope, the total number of offline storage data entries, and the storage space occupied by the data, the further upload request also simultaneously submits a list of unique hash values ​​corresponding to each piece of offline data. The hash values ​​are generated using the SHA-256 algorithm and are completely consistent with the hash values ​​generated during the operation. The list identifies the operation time and data type corresponding to each hash value, and also includes complete offline operation time period information. This provides support for the management platform to pre-determine the verification scope and quickly conduct data integrity and anti-tampering verification. During this process, the electroscope continuously maintains the offline operation data in a local storage protection state until it receives a request reception confirmation instruction from the management platform. If the network connection is interrupted or the request fails to be sent, the electroscope will rescan the network and attempt to resend the request every 30 seconds. At the same time, it will record the request sending abnormal event locally, classify it as abnormal state data and retain it first, ensuring that data upload requests can be continuously initiated after the network is restored, and no offline operation data synchronization step is missed. In a further embodiment, the management platform performs hash value comparison to verify data integrity, retransmits instructions for abnormal data, and enters the synchronization process after confirmation of compliance. This includes: after receiving an encrypted upload request from the voltage detector, the management platform first extracts the voltage detector's unique ID, offline operation time period, total data volume, and a list of hash values ​​corresponding to each data item attached to the request. Based on a locally preset SHA-256 hash algorithm, it performs reverse verification and comparison on the hash value of each data item sent by the voltage detector. Further, during the comparison process, if the hash value of a certain data item is found to be inconsistent with the result calculated by the platform using the same algorithm, it is immediately determined that the data item is at risk of tampering. The platform will generate a targeted retransmission instruction, specifying the corresponding operation time, data type, and hash value mismatch details of the tampered data, and encrypt and send it to the voltage detector. The instruction also includes a retransmission time limit requirement. After receiving the retransmission instruction, the voltage detector retrieves the corresponding original data, reencrypts it, generates a new SHA-256 hash value, and prioritizes retransmitting the data item and the new hash value as required by the instruction.If all data hash values ​​match, the platform further conducts a data item integrity check. It compares each operation data record item against the preset offline management rules to check for missing key data such as voltage testing results, operator information, operation time, location, and voltage tester status parameters. It also confirms whether the data storage format conforms to the preset JSON encrypted storage standard. If further checks reveal missing key data, the platform informs the voltage tester of the specific missing items and requires targeted supplementation and retransmission. The supplemented data must also have its hash value regenerated and be submitted synchronously. If the check finds no missing data, the format is compliant, and all hash values ​​match, confirming data integrity and no tampering, the platform sends a verification pass instruction to the voltage tester, formally entering the subsequent process of multi-voltage tester data conflict handling and synchronous archiving. Simultaneously, the platform temporarily records the data verification result for that voltage tester locally. In a further embodiment, the step of establishing an index based on the voltage detector ID and timestamp, forwarding conflicting data to manual review, and archiving conflict-free data in sequence includes: after receiving the verification pass instruction from the voltage detector, the management platform extracts the unique hardware ID of the voltage detector and the operation timestamp from each piece of data to be synchronized. The operation timestamp is accurate to milliseconds and consistent with the time recorded when the voltage detector is offline. It then associates the GPS positioning latitude and longitude information and combines the unique hardware ID of the voltage detector and the operation timestamp to generate a unique index key, thereby establishing a data index system. This index quickly associates each piece of data with the corresponding operator information, operation location, voltage detection result, voltage detector status parameters, and hash value verification record, while simultaneously checking for duplicates and contradictions when synchronizing data from multiple voltage detectors.

[0019] When determining data conflicts, the index key is used as the benchmark. If the index keys of different voltage detectors correspond to the same millisecond time of operation and the same latitude and longitude location, and the uploaded voltage detection results (energized / de-energized status, voltage detection value) or voltage detector status data (core component operating parameters, fault records) are inconsistent, it is determined to be a data conflict. The platform immediately marks the conflicting data and synchronously displays the complete offline record of the corresponding voltage detector. The complete offline record includes operator identity information, operating environment parameters, full-process status judgment log, data storage priority record, and hash value verification details. It is pushed to the dedicated operation terminal of the management personnel to identify and mark the core points of the conflict, while locking the modification permission of the conflicting data and retaining the original data status for manual review. During the review process, the management personnel can retrieve the original encrypted data stored locally by the corresponding voltage detector for further verification. After the review is completed, the review opinion and the valid data judgment result are entered. The platform archives the valid data according to the opinion and retains the invalid data after marking the reason for invalid data. If the index keys of multiple voltage detectors are not duplicated, or if the synchronization order is different but the corresponding operation time, location and core data (voltage detection results, status parameters) are completely consistent, they are determined to be conflict-free data. The platform integrates the data with the operator's qualification information and voltage detector maintenance and calibration records according to the order of the operation timestamps, and archives it to the core database of the management platform in accordance with the JSON encrypted storage format. During archiving, the "personnel-voltage detector-operation-data" traceability identifier is updated synchronously to ensure that the data can be quickly retrieved by voltage detector ID, time range and operator information. At the same time, the platform temporarily stores the intermediate verification data to release storage space. After the archiving is completed, a data synchronization archiving receipt is generated and fed back to the corresponding voltage detector.

[0020] The original indexing and conflict determination technology relied on a combination of "ID + timestamp" indexing and manual judgment of core data contradictions. While the logic was simple, it had two major drawbacks: first, millisecond-level timestamps were prone to misjudging conflicts due to device clock deviations; second, relying solely on manual comparison of contradictory data was inefficient and dependent on experience. Therefore, this application proposes a conflict determination method based on spatiotemporal anchoring and multidimensional feature similarity. This method first completes data spatiotemporal calibration and index construction, then determines conflicts through feature quantification comparison, accurately filtering data requiring manual review. The specific process is as follows: Input data: Data set to be synchronized from a single voltage detector. Data from multiple devices constitutes a set. , The number of synchronous voltage detectors; The unique hardware identifier for an electroscope (dimensionless); Job timestamp (unit: s, accurate to milliseconds); Latitude and longitude of the work area (unit: °); Voltage test results (dimensionless, charged = 1, uncharged = 0); Operating parameters of core components (sensor response time, unit: s); .

[0021] Spatiotemporal calibration and index construction first correct for device clock skew; the time calibration formula is as follows: In the formula For the first Original timestamp of Taiwan-tested electrical appliance. ( For platform system time, The time for the platform to receive data (in seconds) is used to ensure a consistent time base.

[0022] Constructing composite index keys By retaining six decimal places for latitude and longitude coordinates and rounding them down, false conflicts caused by positioning accuracy errors are avoided, and a multi-dimensional indexing system is established.

[0023] Multidimensional feature standardization, for core features , , To perform dimensionless processing and eliminate the influence of dimensions, the formula is: In the formula For the first The first piece of equipment Original values ​​of each feature. Historical averages of similar features (e.g.) of s), Standard deviation (e.g.) of s), These are standardized eigenvalues ​​(dimensionless).

[0024] Feature similarity calculation, quantifying the consistency of features across multiple devices, uses the following formula: In the formula: For the first , The feature similarity of the devices ranges from [0,1], with higher similarity being closer to 1. For feature weights (normalized, ), ( (Electrical test results) ( (running parameters) ( (Fault identifier), highlighting the weight of core features.

[0025] Perform conflict detection and handling, and set a similarity threshold. ,like and index key , For the same spatiotemporal range, a time difference < 2s and a latitude / longitude deviation ≤ 10m are considered a true conflict; if Even if there are spatial and temporal deviations, the data is judged as redundant, and the dataset corresponding to the feature mean is archived.

[0026] When a conflict is determined to be genuine, the platform automatically marks the core characteristics of the conflict (such as...). (In case of inconsistency), the complete offline record of the associated electroscope, including operator information, status log, and verification record, is pushed to the manual review terminal to lock the original data so that it cannot be tampered with; after review, valid data is archived and invalid data is marked with the reason for filing.

[0027] The platform outputs three types of data processing results: a list of truly conflicting data (including conflict features and similarity values), the results of merging redundant data, and a set of conflict-free data. The platform then processes the conflict-free data according to... Archive data sequentially, update traceability identifiers, clean up temporary data, and provide feedback receipts.

[0028] In a further embodiment, after synchronization is completed, the voltage detector clears the synchronized routine data, including: after receiving a synchronization archiving completion confirmation instruction from the management platform, the voltage detector first encrypts and verifies the instruction. After confirming that the instruction comes from the corresponding management platform and has not been tampered with, it initiates the local data classification and processing procedure. Data synchronized to the platform is filtered, distinguishing between routine operation data and core data. Core data includes fault information, unauthorized access events, and corresponding related data recorded during offline operations. This type of data is continuously retained locally according to preset rules and is not included in the clearing scope, ensuring subsequent traceability and maintenance verification needs. Furthermore, the routine operation data includes synchronized normal voltage testing results, routine status parameters, and ordinary operation records (non-core data). The voltage detector clears the data batch by batch, starting from the earliest synchronized routine data, according to the data storage time order. During the clearing process, the synchronization identifier of each data item is simultaneously verified. Only routine data that has been confirmed to be successfully archived on the platform and whose hash values ​​match are cleared, avoiding accidental deletion of unsynchronized or abnormally synchronized data. Furthermore, after the data clearing is complete, the voltage detector automatically detects the remaining storage space, generates a data clearing log, records the number of cleared regular data entries, the time range, and the remaining storage space size, and stores it in encrypted JSON format in the local core data area, associated with fault records and unauthorized access events. Simultaneously, the voltage detector maintains its offline management rules and core function readiness status, ready to respond to new offline job start commands at any time, ensuring that subsequent offline operations are not affected by data clearing operations and guaranteeing the continuity of the entire management process. In a further embodiment, the management platform updates the voltage detector status based on synchronized data, marks faulty voltage detectors, and reminds them to undergo maintenance. This includes: after completing offline data synchronization and archiving, the management platform automatically extracts fault records, full-process status parameters, and usage records from the synchronized data of each voltage detector and performs correlation analysis with preset status management standards. For voltage detectors with fault information in the synchronized data, the platform extracts the fault type, fault occurrence time, abnormal parameter values, corresponding operating environment, and operator information, directly marking its status as "pending maintenance," and simultaneously locking the voltage detector's next offline operation permission, retaining only basic self-check and data upload functions until maintenance is completed and the status is updated. Furthermore, the platform simultaneously generates standardized maintenance reminder work orders, clearly labeling each voltage detector with a unique ID, fault details, associated work records, and offline location latitude and longitude information. These orders are pushed to the terminal devices of the corresponding maintenance personnel, and notifications are sent via both pop-up windows and SMS messages from the management platform, indicating the maintenance priority. The work orders include a fault data tracing entry point, allowing maintenance personnel to easily retrieve complete offline fault records and status parameter change curves to aid in troubleshooting. Additionally, for voltage detectors without fault records but exhibiting status parameter fluctuations (not reaching the abnormal threshold), the platform marks them as "observation status," simultaneously recording the parameter fluctuation range and corresponding work scenario, and including them in the subsequent status tracking list.For voltage detectors that have completed their operations normally, the platform updates their usage records, providing detailed statistics on operation duration, number of operations, and cumulative offline operation time. Based on preset calibration cycles, set according to voltage level and usage frequency (e.g., high-voltage voltage detectors are calibrated every 3 months), the platform determines if a calibration deadline is approaching. If less than 15 days remain until the next calibration, a calibration reminder is automatically generated and pushed to the equipment management specialist along with the voltage detector's usage record. Furthermore, all status update results are linked and archived with the voltage detector ID, operator qualifications, operation data, and maintenance / calibration records, synchronously updating the "personnel-voltage detector-operation-data" traceability information to ensure traceability of status changes. Simultaneously, status data is synchronized in real-time to the voltage detector's local storage module, achieving bidirectional consistency updates between the management platform and the voltage detector's status information, ensuring the accuracy of status determination during subsequent offline operations.

[0029] refer to Figure 4 , Figure 5 The graph visually verifies the anti-tampering detection effect of this application. The horizontal axis represents the data tampering rate (0%-100%), and the vertical axis represents the detection correlation ratio. The detection accuracy of core data (power verification results, fault indicators) consistently remains above 99%, while the accuracy of regular data remains above 97%, thanks to the triple mechanism of "encrypted storage + SHA-256 hash value binding + item-by-item comparison" in this application. The false detection rate is as high as 0.35%, and the false negative rate is less than 1%, demonstrating the reliability of the method. Even if the data is completely tampered with, it can still be accurately identified. The graph confirms the core value of this application in solving the problem of "data tampering and forgery." Core data, due to its high priority and stricter verification, has better detection performance than regular data, and the overall detection indicators are not affected by the tampering rate, meeting the data security and integrity verification requirements in offline scenarios.

[0030] This application also provides an embodiment of an electronic device. The electronic device is manifested in the form of a general-purpose computing device. The components of the electronic device may include, but are not limited to: one or more processors or processing units, memory, and buses connecting different components (including memory and processing units).

[0031] A bus refers to one or more of several bus architectures, including memory buses or memory controllers, peripheral buses, graphics acceleration ports, processors, or local buses using any of the various bus architectures. Examples of these architectures include, but are not limited to, Industry Standard Architecture (ISA) buses, Micro Channel Architecture (MCA) buses, Enhanced ISA buses, Video Electronics Standards Association (VESA) local buses, and Peripheral Component Interconnect (PCI) buses.

[0032] Electronic devices typically include a variety of computer-readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, and removable and non-removable media.

[0033] The memory may include computer-readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory. Electronic devices may further include other removable / non-removable, volatile / non-volatile computer device storage media. By way of example only, the storage system may be used to read and write non-removable, non-volatile magnetic media.

[0034] The electronic device can also communicate with one or more external devices (e.g., keyboard, pointing device, camera, etc.), may include a display, and may communicate with one or more devices that enable a user to interact with the electronic device, and / or with any device that enables the electronic device to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via an input / output (I / O) interface. Furthermore, the electronic device can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN)) and / or public networks, such as the Internet) via a network adapter. The network adapter communicates with other modules of the electronic device via a bus. The processor executes various functional applications and data processing by running programs stored in memory, such as implementing the intelligent use management method for the electroscope provided in the above embodiments of the present invention.

[0035] This application also discloses an intelligent management system for the use of voltage detectors, including: The rule writing module is used to write offline management rules to the electroscope; The personnel verification module is used in offline mode to collect RFID / fingerprint information from the electroscope, compare it with preset permissions, process unlocking / locking operations, and record the corresponding information. The operation monitoring module is used to collect the operating parameters of the electroscope at fixed time intervals during operation, compare them with the standard, and trigger audible and visual alarms, lock functions, and record fault information when abnormalities occur. The data encryption and storage module is used to encrypt and store all data during the operation, generate a unique hash value, and allocate storage resources according to preset rules. The network communication module is used to configure the electroscope to automatically connect to the network in a network environment and send an upload request containing the electroscope ID, total data volume and hash value list to the management platform; The data verification module is used to connect to the management platform to compare hash values, check data integrity, retransmit abnormal data instructions, and trigger the synchronization process after confirmation of compliance. The data cleanup module is used to clear the synchronized routine data in the electroscope after synchronization is complete.

[0036] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent use and management of electroscopes, characterized in that, Includes the following steps: The management platform writes offline management rules to the electroscope; in offline mode, the electroscope collects personnel information through RFID or fingerprint and compares it with preset permissions; if the comparison is successful, the operation function is unlocked and the information is recorded. If the comparison fails, the voltage detection function is locked and the unauthorized access event is recorded. During the operation, the operating parameters of the voltage detector are collected at fixed time intervals and compared with the standard. If the comparison is abnormal, an audible and visual alarm is triggered, the function is locked, and the fault information is recorded. At the same time, the operation data is encrypted and stored, a unique hash value is generated, and storage resources are allocated according to preset rules. In a network environment, the electroscope is configured to automatically connect to the network and send an upload request to the management platform, along with the electroscope ID, total data volume, and hash value list. The management platform performs hash value comparison, verifies data integrity, and instructs retransmission of abnormal data. Once the data is confirmed to be qualified, it enters the synchronization process. An index is created based on the electroscope ID and timestamp. Conflicting data is forwarded to manual review, and non-conflicting data is archived in order. After synchronization is complete, the electroscope clears the synchronized routine data.

2. The intelligent use management method for electroscopes according to claim 1, characterized in that, The management platform writes offline management rules to the voltage detector, including: before the voltage detector is put into operation, writing offline management rules, including permission thresholds, status judgment standards, and data storage rules, into its storage. The permission thresholds are bound to the identity information and corresponding operation permissions of the operators, and only authorized personnel can unlock them; the status judgment standards are preset to the normal operation and abnormal parameter ranges of core components; the data storage rules determine the content and storage priority of offline operation data records, giving priority to retaining voltage detection results and abnormal data, storing regular data according to time, and automatically overwriting the earliest regular data when storage space is insufficient.

3. The intelligent use and management method for electroscopes according to claim 2, characterized in that, In the offline mode, the voltage detector collects personnel information via RFID or fingerprint and compares it with preset permissions. This includes: when an operator starts the voltage detector in a network-free scenario, the device automatically switches to offline mode and triggers identity verification. It reads the authorized card information or collects fingerprints through the built-in RFID reader and compares the collected identity information with preset permission thresholds. If the comparison is successful, authorization is confirmed, the corresponding voltage detector function is unlocked, and the device enters the workable state. At the same time, the unlocking time and operator information are locally encrypted and recorded. If the comparison fails, the voltage detector function is immediately locked, only the self-test function is retained, and unauthorized access events are locally encrypted and recorded. The device remains locked until an authorized person unlocks it.

4. The intelligent use management method for electroscopes according to claim 1, characterized in that, The operation simultaneously encrypts and stores all operation data, generates a unique hash value, and allocates storage resources according to preset rules, including: when the electroscope is operating offline, the data is encrypted and stored synchronously, a unique hash value is generated and associated with the corresponding encrypted data for storage; storage resources are allocated according to preset rules, which include prioritizing the protection of electroscope results, core data of abnormal states that are not overwritten, storing regular data in chronological order, and overwriting the earliest regular data when storage space is insufficient.

5. The intelligent use management method for electroscopes according to claim 1, characterized in that, In the network environment, the voltage detector is configured to automatically connect to the network and send an upload request to the management platform, including the voltage detector ID, total data volume, and hash value list. After the network is restored, the voltage detector automatically scans for available networks in the vicinity, connects according to a preset priority, and sends an encrypted upload request to the management platform after the link is stable. The request includes the voltage detector's unique ID, total data volume, hash value list, and offline operation period information. The voltage detector continuously protects local offline data until it receives a confirmation instruction from the platform. If the connection is interrupted or the request fails, it retryes at intervals and records abnormal events.

6. The intelligent use management method for electroscopes according to claim 4, characterized in that, The management platform performs hash value comparison to verify data integrity, instructs retransmission of abnormal data, and enters the synchronization process after confirmation of compliance. This includes: after receiving the encrypted upload request from the electroscope, the management platform extracts the relevant information, compares the hash values ​​of the data item by item according to the preset hash algorithm, if the comparison is inconsistent, it determines that there is a risk of tampering and instructs targeted retransmission, the electroscope retrieves the original data, re-encrypts it to generate a new hash value, and retransmits it first; if the hash values ​​are consistent, it further verifies the data integrity and compliance of the storage format; if key data is found to be missing, it requires supplementation and retransmission and submission of a new hash value, if the verification is successful, it confirms that the data is complete and has not been tampered with, sends a verification pass instruction to enter the subsequent synchronization and archiving process, and temporarily records the verification result.

7. The intelligent use management method for electroscopes according to claim 1, characterized in that, The process of establishing an index based on the electroscope ID and timestamp, forwarding conflicting data to manual review, and archiving non-conflicting data in sequence includes: the management platform generating a unique index using the electroscope ID and timestamp, establishing an index system to check for duplicates and contradictions in synchronized data from multiple devices, marking conflicting data and associating it with complete offline records to push for manual review if data conflict is determined, locking permissions to retain the original data, and archiving valid data and filing invalid data after review; if there is no conflict, archiving the corresponding information in chronological order, updating the traceability identifier, clearing temporary data, and sending an archiving receipt back to the electroscope.

8. The intelligent use management method for electroscopes according to claim 1, characterized in that, It also includes the management platform updating the status of the voltage detector based on synchronized data, marking faulty voltage detectors and reminding them to be repaired, and generating traceability records.

9. An intelligent management system for electroscopes using the method of claim 1, characterized in that, include: The rule writing module is used to write offline management rules to the electroscope; The personnel verification module is used in offline mode to collect RFID / fingerprint information from the electroscope, compare it with preset permissions, process unlocking / locking operations, and record the corresponding information. The operation monitoring module is used to collect the operating parameters of the electroscope at fixed time intervals during operation, compare them with the standard, and trigger audible and visual alarms, lock functions, and record fault information when abnormalities occur. The data encryption and storage module is used to encrypt and store all data during the operation, generate a unique hash value, and allocate storage resources according to preset rules. The network communication module is used to configure the electroscope to automatically connect to the network in a network environment and send an upload request containing the electroscope ID, total data volume and hash value list to the management platform; The data verification module is used to connect to the management platform to compare hash values, check data integrity, retransmit abnormal data instructions, and trigger the synchronization process after confirmation of compliance. The data cleanup module is used to clear the synchronized routine data in the electroscope after synchronization is complete.

10. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the intelligent use management method for the electroscope as described in claim 1.

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