Fire-fighting equipment electronic maintenance management system and method based on RFID technology

Abstract

The invention discloses a fire-fighting equipment electronic maintenance management system and method based on the RFID technology, and relates to the technical field of code identification, the system comprises an identification code management module, a maintenance task list generation module, a dynamic data writing module, an inspection verification module and a safety alarm module, maintenance records are written in real time through an RFID tag, and the identification code management module is connected with the dynamic data writing module. A dynamic key updating mechanism is constructed by combining lightweight encryption and block chain evidence storage technologies, data traceability and non-tampering are ensured, cross check is performed through multi-modal data entry, RFID tag, two-dimensional code and NFC rapid read-write is realized, the equipment state is recognized and checked by combining AI images, the manual misjudgment rate is reduced, the system robustness is ensured, and the system reliability is improved. Through the combination of dynamic encryption coding, multi-modal verification and block chain evidence storage, the data credibility is improved, the environmental adaptability and anti-risk capability of the system are enhanced, and the transformation from manual management to intelligence and digitization is realized.

Description

Technical Field

[0001] The present invention relates to the field of identification coding technology, and in particular to an electronic maintenance management system and method for fire-fighting equipment based on RFID technology. Background Art

[0002] The electronic maintenance and management system of fire-fighting equipment is undergoing a deep transformation from "single point application" to "system integration". This process is driven by breakthroughs in technological maturity, improvements in the policy system, and upgrades in market demand, marking the transition of fire safety management from fragmented tool applications to full-factor digital collaboration.

[0003] Currently, the leap in technological maturity is the core driving force behind this transformation: IoT communication protocols (such as LoRaWAN and 5GNB-IoT) have resolved the access compatibility issues of multiple types of devices (RFID, sensors, and cameras), enabling the real-time aggregation of fire hydrant pressure data, fire extinguisher status information, and evacuation route images on a single platform. The evolution of AI vision algorithms (such as the YOLOv8 model) has increased the recognition speed of key equipment components to 200ms / frame. Combined with edge computing nodes, this can perform 90% of initial abnormality screening at the front end, followed by secondary verification using cloud-based deep learning models, forming a hierarchical processing architecture of "edge computing + cloud intelligence." However, existing electronic systems for firefighting equipment present security and privacy risks. RFID identification codes are easily read, copied, or tampered with, potentially leading to device forgery or data leakage. Furthermore, static codes lack a dynamic encryption mechanism, posing a risk of forgery and poor data security. In emergencies such as fires, fire departments are unable to quickly obtain the real-time status of equipment and struggle to monitor the availability of firefighting equipment near the fire. This results in insufficient emergency response capabilities, impacting firefighting and rescue efficiency. In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0004] The purpose of the present invention is to solve the pain points of low efficiency, poor safety, slow emergency response and other problems in the maintenance of traditional fire-fighting equipment, and realize the transformation from manual management to intelligent and digital management. Through the combination of dynamic encryption coding, multimodal verification and blockchain evidence storage, it not only improves the credibility of data, but also enhances the environmental adaptability and risk resistance of the system.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: The electronic maintenance and management method for firefighting equipment based on RFID technology includes the following steps: Step S1: Identification code initialization: Assign RFID tags to firefighting equipment, generate dynamic encrypted identification codes, and bind the QR code and NFC code to generate a hash value and upload it to the blockchain; Step S2: Dispatching fire equipment maintenance tasks: Generate a task list based on the fixed-point map, associate the task list with an encrypted identification code, and push the task list to the maintenance personnel terminal through the edge node; Step S3: Update and enter maintenance data: The maintenance personnel update the tag data of the task order through the anti-interference reader / writer. The data is dynamically encrypted and written into the RFID tag. The operation record is then recorded through the blockchain node. Step S4: AI multimodal inspection verification: The inspector scans the RFID tag to verify the validity of the dynamic key and simultaneously calls the AI image recognition unit to verify the device status; Step S5: Security warning and repair: When an abnormality in the identification code is detected, a repair task order is automatically generated, the problem device is isolated, and a unique identification code is regenerated.

[0006] Furthermore, the specific process of generating the dynamic encryption identification code in step S1 is as follows: S1-1, RFID tag allocation and initialization: S1-101, selects RFID hardware tags that are suitable for fire equipment environments and integrates physical anti-disassembly design. If the tag is damaged, it will become invalid. S1-102, initialize the RFID tag and write basic information: Basic information includes the tag’s EPC code and the fire equipment’s asset number; The EPC code of the tag is bound to the asset number of the fire protection equipment through the RFID reader, so as to write the unique identifier and store it in the tag user storage area, and then set the access permission password for the tag user storage area; S1-2, establishing an encoding rule design model to generate a dynamic encryption identification code, thereby generating an encoded ciphertext; S1-3, bind the QR code and NFC code and verify them to ensure that the RFID-EPC, NFC-ID, and QR code associated ID are consistent; S1-4, comprehensively generate hash values and upload them to the blockchain, integrate RFID-EPC, dynamic encryption code, QR code content, NFC-NDEF data, device installation location, initialization timestamp, and mark them as data to be uploaded to the blockchain, generate hash values and write the hash values to the blockchain.

[0007] S1-403, establish a mapping relationship between the device ID and the hash value in the blockchain, retrieve the blockchain through the device ID to obtain the hash value, and compare it with the local data to verify the data integrity. Among them, the dynamic encryption key and blockchain key are uniformly managed and rotated regularly.

[0008] Furthermore, a coding rule design model is established to generate a dynamic encryption identification code. The specific process is as follows: S1-201, generate initial code through basic code and dynamic factor: The basic coding includes the device type, installation location, asset number and initialization timestamp, and generates dynamic factors by combining random numbers and real-time timestamp dynamic variables; S1-202, generates ciphertext by applying the encryption algorithm: The AES-256 algorithm is used for symmetric encryption. Through basic coding and combined with the RSA digital signature of the equipment manufacturer, the encoded ciphertext is generated to dynamically encrypt the identification code.

[0009] Furthermore, the QR code is bound to the NFC code and verified. The specific process is as follows: S1-301, obtain the plain text of the QR code through basic device information: Basic device information includes asset number, manufacturer, and maintenance phone number; S1-302, bind the QR code to the NFC code and write the device unique identification ID corresponding to the EPC area of the RFID tag; S1-303, verify whether the device IDs of RFID and NFC tags are consistent through the reader, and cross-check with the information after QR code parsing to ensure that the RFID-EPC, NFC-ID, and QR code associated ID are consistent.

[0010] Furthermore, a hash value is generated and uploaded to the blockchain: S1-401 integrates RFID-EPC, dynamic encryption code, QR code content, NFC-NDEF data, device installation location, and initialization timestamp, and marks it as data to be uploaded to the chain; Perform hash calculation on the data to be uploaded to the chain to generate a 256-bit hexadecimal hash value; S1-402: Send a transaction request to the node using the blockchain SDK tool, carrying the device ID, hash value, and operation timestamp. The node verifies the sender's identity through a digital certificate and verifies data format compliance through a smart contract. After the transaction is confirmed by the consensus algorithm, the hash value is written into the blockchain to generate an unalterable block record. The transaction hash is then returned as the chain certificate and stored in the device management system database.

[0011] S1-403, establish a mapping relationship between the device ID and the hash value in the blockchain, retrieve the blockchain through the device ID to obtain the hash value, and compare it with the local data to verify the data integrity. Among them, the dynamic encryption key and blockchain key are uniformly managed and rotated regularly.

[0012] Furthermore, the specific process of data writing in step S3 is as follows: The maintenance personnel terminal initiates a write request with biometric authentication information attached; After the edge node verifies the legitimacy of the request, it generates a temporary session key; The data is encrypted with the session key, written into the tag, and synchronized to the blockchain; After the label storage area is updated, the map label status switch is automatically triggered.

[0013] Furthermore, the AI image recognition verification in step S4 includes: Inspection personnel use the camera of the reading device to collect the appearance image of the fire-fighting equipment and transmit the collected image to the AI image recognition system in real time; Activate the RFID tag through a reading device and obtain the information stored on it; Collect images of equipment appearance, extract feature vectors and compare them with historical databases, calculate the similarity between current image features and historical features, mark risky firefighting equipment, and push emergency work orders; Integrate the verification results of AI image recognition with the device information stored in the RFID tag: obtain the difference index by comparing the verification results and RFID coding information; set a threshold for the difference index. When the difference index exceeds the threshold, the manual review mechanism is triggered.

[0014] 8. The electronic maintenance and management method for firefighting equipment based on RFID technology according to claim 1, wherein the logic for generating the repair task list in step S5 is: Determine the type of anomaly through system logs, including hardware damage, code tampering, and code failure; match the anomaly type with the preset repair strategy; If the abnormality is determined to be hardware damage, the nearest warehouse will be dispatched to deliver a spare device and the code will be updated; When the repair is completed, the new coding information is synchronized to the electronic maintenance management system of fire equipment.

[0015] The electronic maintenance and management system for firefighting equipment based on RFID technology includes an identification and coding management module, a maintenance task order generation module, a dynamic data writing module, a patrol inspection and verification module, and a safety alarm module. Each module is communicatively connected to each other. The system applies the above-mentioned electronic maintenance and management method for firefighting equipment based on RFID technology; The identification code management module is used to encrypt and update identification codes: unique RFID tags are assigned to firefighting equipment, and the tags store dynamically encrypted identification codes. The identification codes are encrypted using a lightweight encryption algorithm, thereby integrating a dynamic key update mechanism and building a multi-modal hybrid coding system of RFID, QR code, and NFC, with each code serving as a redundant backup for the other. The maintenance task order generation module is used to generate fire equipment maintenance task orders: it generates a fire equipment fixed-point map based on the building completion fire inspection data, extracts a list of equipment requiring maintenance, generates a task order, and associates the task order with an encrypted identification code; The dynamic data writing module is used to write the encrypted identification code into the RFID tag: the maintenance record is updated in real time through the anti-metal RFID tag, thereby performing circular storage and rapid erasure, and the update operation is decentralized and recorded in conjunction with blockchain technology; The inspection and verification module is used for AI multi-modal assisted verification: it uses a mobile terminal to read RFID tags and verify the legitimacy of dynamic keys, and uses AI image recognition technology to assist in verifying the device appearance and QR code; The security alarm module is used to trigger an alarm when illegal behavior is detected and synchronize abnormal logs to the cloud.

[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: This invention uses RFID tags to write maintenance records in real time, and combines lightweight encryption with blockchain evidence storage technology to build a dynamic key update mechanism to ensure that data is traceable and cannot be tampered with. It also performs cross-verification through multi-modal data entry to achieve fast reading and writing of RFID tags, QR codes, and NFC. It also combines AI image recognition to verify device status, reducing the rate of manual misjudgment and ensuring system robustness. This invention integrates a lightweight encryption algorithm and a dynamic key update mechanism through security enhancement technology to prevent data tampering, and performs multimodal identification fusion to build a hybrid coding system of RFID, QR code, and NFC, which serve as redundant backups for each other. It uses AI image recognition to assist RFID code verification and improve fault tolerance. This invention combines dynamic encryption coding, multimodal verification and blockchain evidence storage to improve data credibility and enhance the system's environmental adaptability and risk resistance. It solves the pain points of low efficiency, poor safety and slow emergency response in the maintenance of traditional fire-fighting equipment, and realizes the transformation from manual management to intelligent and digital management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram showing the steps of the workflow of the present invention is shown; Figure 2 A connection diagram of the system modules of the present invention is shown. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention. Example

[0019] like Figure 1-2 As shown in the figure, the electronic maintenance and management system for fire-fighting equipment based on RFID technology includes an identification and coding management module, a maintenance task order generation module, a dynamic data writing module, a patrol inspection and verification module, and a safety alarm module. Each module is connected to each other; The identification code management module is used to encrypt and update identification codes: unique RFID tags are assigned to firefighting equipment, and the tags store dynamically encrypted identification codes. The identification codes are encrypted using a lightweight encryption algorithm, thereby integrating a dynamic key update mechanism and building a multi-modal hybrid coding system of RFID, QR code, and NFC, with each code serving as a redundant backup for the other. The maintenance task order generation module is used to generate fire equipment maintenance task orders: it generates a fire equipment fixed-point map based on the building completion fire inspection data, extracts a list of equipment requiring maintenance, generates a task order, and associates the task order with an encrypted identification code; The dynamic data writing module is used to write the encrypted identification code into the RFID tag: the maintenance record is updated in real time through the anti-metal RFID tag, thereby performing circular storage and rapid erasure, and the update operation is decentralized and recorded in conjunction with blockchain technology; The inspection and verification module is used for AI multi-modal assisted verification: it uses a mobile terminal to read RFID tags and verify the legitimacy of dynamic keys, and uses AI image recognition technology to assist in verifying the device appearance and QR code; The security alarm module is used to trigger an alarm when illegal behavior is detected and synchronize abnormal logs to the cloud: illegal behavior includes illegal reading of RFID tags, malicious tampering, etc.

[0020] The working steps are as follows: Step S1: Identification code initialization: Assign RFID tags to firefighting equipment, generate dynamic encrypted identification codes, and bind the QR code and NFC code to generate a hash value and upload it to the blockchain; S1-1, RFID tag allocation and initialization: S1-101, select RFID hardware tags that are suitable for the fire equipment environment: by selecting tamper-resistant, high-temperature resistant, and metal surface-compatible tags, such as high-frequency (HF) tags ISO14443 or ultra-high-frequency (UHF) tags ISO18000-6C, ensure that the tags have a unique factory-issued EPC (Electronic Product Code) code; In actual application, it is resistant to metal interference and has an integrated physical anti-disassembly design. If the tag is damaged, it will become invalid to prevent it from being illegally removed or replaced. Once the tag is removed, the device will trigger an alarm and mark it as "abnormal state"; S1-102, initialize the RFID tag and write basic information: The EPC code of the tag is bound to the asset number of the fire protection equipment through the RFID reader / writer. The asset number includes the equipment model and factory number, and a unique identifier is written and stored in the tag user storage area. Then, an access permission password is set for the tag user storage area to restrict unauthorized reading and writing, ensuring data security. S1-2, establish the coding rule design model to generate dynamic encryption identification code: S1-201, generate initial code through basic code and dynamic factor: The basic code includes the device type (such as fire extinguisher, smoke detector), installation location (such as floor room number), asset number, and initialization timestamp; Coding format: device type code-region code-asset number-time stamp-random number; A dynamic factor is generated by combining random numbers and timestamp dynamic variables to ensure that each encoding is different and prevent replay attacks. S1-202, generates ciphertext by applying the encryption algorithm: The AES-256 algorithm is used for symmetric encryption. The basic code is combined with the RSA digital signature of the equipment manufacturer to generate the coded ciphertext for dynamic encryption of the identification code to ensure that the code has not been tampered with. The key is uniformly generated and regularly updated by the system key management center. S1-3, bind the QR code and NFC code and verify: S1-301, obtain the QR code through basic device information: Basic device information includes plain text, such as asset number, manufacturer, and maintenance phone number; Select a tag that supports NDEF (NFC Data Exchange Format) and write an NDEF message. The NDEF message contains a VCard record, which is the basic device information. Bind the QR code to the NFC code and write the device's unique identification ID corresponding to the EPC area of the RFID tag to ensure that NFC and RFID point to the same device; S1-302, verify whether the device IDs of RFID and NFC tags are consistent through the reader, and cross-check with the information after QR code parsing to ensure the "three codes in one", that is, the RFID-EPC, NFC-ID, and QR code associated ID verification are consistent.

[0021] S1-4, generate hash value and upload to blockchain: S1-401 integrates RFID-EPC, dynamic encryption code (ciphertext), QR code content (Base64), NFC-NDEF data, device installation location, and initialization timestamp and marks them as data to be uploaded to the chain; Hash the JSON format string of the on-chain data using the SHA-256 algorithm to generate a 256-bit hexadecimal hash value; S1-402: The client sends a transaction request to the node through the blockchain SDK, carrying the device ID, hash value, and operation timestamp. The node verifies the sender's identity through a digital certificate and verifies the data format compliance through a smart contract. After the transaction is confirmed by the consensus algorithm, the hash value is written into the blockchain to generate an unalterable block record. The transaction hash is then returned as the on-chain certificate and stored in the device management system database.

[0022] S1-403, by establishing a "device ID → hash value" mapping function in the blockchain, when subsequent queries are made, the blockchain is retrieved by the device ID to obtain the hash value and compared with the local data to verify data integrity; Dynamic encryption keys and blockchain keys are centrally managed by a hardware security module (HSM) or key management system (KMS) and rotated regularly. At the same time, the operator, time, IP address, tag status changes, etc. of each device initialization are recorded for compliance audits to ensure the security of the entire process.

[0023] Step S2: Dispatching fire equipment maintenance tasks: Generate a task list based on the fixed-point map, associate the task list with an encrypted identification code, and push the task list to the maintenance personnel terminal through the edge node; Step S3: Update and enter maintenance data: The maintenance personnel update the tag data of the task order through the anti-interference reader / writer. The data is dynamically encrypted with the AES-128 algorithm and written into the RFID tag. The operation record is recorded through the blockchain node. The specific process of data writing is as follows: The maintenance personnel terminal initiates a write request with biometric authentication information. After the edge node verifies the legitimacy of the request, it generates a temporary session key. The data is encrypted with the session key and written into the tag and synchronized to the blockchain. When the tag storage area is updated, the map identification status switch is automatically triggered.

[0024] Step S4: AI multimodal inspection verification: The inspector scans the RFID tag to verify the validity of the dynamic key and simultaneously calls the AI image recognition unit to verify the device status. The AI image recognition verification includes: In S4-1, the inspection personnel use the camera of the reading device to collect the appearance image of the fire-fighting equipment, ensuring that the image is clear and complete, including the key components and overall appearance of the equipment, and transmit the collected image to the AI image recognition system in real time; Patrol personnel are equipped with devices that support RFID reading functions, such as handheld terminals or smartphones with RFID modules. They approach the RFID tags on firefighting equipment and use the reading devices to activate the RFID tags and obtain the information stored on them, including the unique identification of the equipment and dynamic encryption codes. S4-2, collect device appearance images, extract feature vectors and compare them with the historical database: The image is extracted through convolutional neural network (CNN) and converted into feature vectors; Then, the historical image feature vector of the device is retrieved from the historical database using the unique identifier of the device; By calculating the similarity between the current image feature vector and the historical feature vector, the damage rate of key components is evaluated; The system analyzes the status of key equipment components in the image, such as valves, pressure gauges, and nozzles, and uses feature matching and machine learning algorithms to determine whether the components are damaged. The system then counts the number of damaged components to calculate the damage rate of key components. Set a threshold for the damage rate of key components. If the damage rate of key components exceeds the threshold, it will be marked as "high risk" and an emergency work order will be issued. S4-3, integrating the verification result of AI image recognition with the device information stored in the RFID tag; Compare the verification results with the RFID code information to check for discrepancies. For example, the RFID information may indicate that the device is normal, but AI image recognition may reveal that a key component is damaged. Accumulate the proportion of different parts in the total parts of the equipment to obtain the difference index; Set a threshold for the difference index. When the difference index exceeds the threshold, the manual review mechanism is triggered.

[0025] Step S5: Security Alert and Repair: When an identification code anomaly is detected, a repair task order is automatically generated and the problematic device is isolated. A unique identification code is regenerated using PUF technology (Physical Unclonable Functions). The repair task order generation logic is as follows: Determine the type of anomaly through system logs, including hardware damage, code tampering, and code failure; match the anomaly type with the preset repair strategy; If the abnormality is determined to be hardware damage, the nearest warehouse will be dispatched to deliver a spare device and the code will be updated; When the repair is completed, the new coding information is synchronized to the electronic maintenance management system of fire equipment.

[0026] In summary, the beneficial effects of the present invention are as follows: This invention uses RFID tags to write maintenance records in real time, and combines lightweight encryption with blockchain evidence storage technology to build a dynamic key update mechanism to ensure that data is traceable and cannot be tampered with. It also uses multimodal data entry for cross-verification and combines AI image recognition to verify device status, reducing the rate of manual misjudgment and ensuring system robustness. This invention integrates a lightweight encryption algorithm and a dynamic key update mechanism through security enhancement technology to prevent data tampering, and performs multimodal identification fusion to build a hybrid coding system of RFID, QR code, and NFC. It uses AI image recognition to assist RFID code verification and improve fault tolerance. This invention combines dynamic encryption coding, multimodal verification and blockchain evidence storage to improve data credibility and enhance the system's environmental adaptability and risk resistance. It solves the pain points of low efficiency, poor safety and slow emergency response in the maintenance of traditional fire-fighting equipment, and realizes the transformation from manual management to intelligent and digital management.

[0027] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0028] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0029] The above data processing is to remove the dimension and take its numerical calculation. The setting of the interval and threshold size is for the convenience of comparison. The size of the threshold depends on the amount of sample data and the cardinality set by technical personnel in this field for each group of sample data. As long as it does not affect the proportional relationship between the parameter and the quantized value, the preset parameters are set by technical personnel in this field according to actual conditions.

[0030] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. The electronic maintenance and management method for fire-fighting equipment based on RFID technology is characterized by: The following steps are involved: Step S1: Identification code initialization: Assign RFID tags to firefighting equipment, generate dynamic encrypted identification codes, and bind the QR code and NFC code to generate a hash value and upload it to the blockchain; Step S2: Dispatching fire equipment maintenance tasks: Generate a task list based on the fixed-point map, associate the task list with an encrypted identification code, and push the task list to the maintenance personnel terminal through the edge node; Step S3: Update and enter maintenance data: The maintenance personnel update the tag data of the task order through the anti-interference reader / writer. The data is dynamically encrypted and written into the RFID tag. The operation record is then recorded through the blockchain node. Step S4: AI multimodal inspection verification: The inspector scans the RFID tag to verify the validity of the dynamic key and simultaneously calls the AI image recognition unit to verify the device status; Step S5: Security warning and repair: When an abnormality in the identification code is detected, a repair task order is automatically generated, the problem device is isolated, and a unique identification code is regenerated.

2. The electronic maintenance and management method for firefighting equipment based on RFID technology according to claim 1 is characterized by: The specific process of generating the dynamic encryption identification code in step S1 is as follows: S1-1, RFID tag allocation and initialization: S1-101, selects RFID hardware tags that are suitable for fire equipment environments and integrates physical anti-disassembly design. If the tag is damaged, it will become invalid. S1-102, initialize the RFID tag and write basic information: Basic information includes the tag’s EPC code and the fire equipment’s asset number; The EPC code of the tag is bound to the asset number of the fire protection equipment through the RFID reader, so as to write the unique identifier and store it in the tag user storage area, and then set the access permission password for the tag user storage area; S1-2, establishing an encoding rule design model to generate a dynamic encryption identification code, thereby generating an encoded ciphertext; S1-3, bind the QR code and NFC code and verify them to ensure that the RFID-EPC, NFC-ID, and QR code associated ID are consistent; S1-4, comprehensively generate hash values and upload them to the blockchain, integrate RFID-EPC, dynamic encryption code, QR code content, NFC-NDEF data, device installation location, initialization timestamp, and mark them as data to be uploaded to the blockchain, generate hash values and write the hash values to the blockchain. S1-403, establish a mapping relationship between the device ID and the hash value in the blockchain, retrieve the blockchain through the device ID to obtain the hash value, and compare it with the local data to verify the data integrity. Among them, the dynamic encryption key and blockchain key are uniformly managed and rotated regularly.

3. The electronic maintenance and management method for firefighting equipment based on RFID technology according to claim 2 is characterized by: Establish a coding rule design model to generate dynamic encryption identification code. The specific process is as follows: S1-201, generate initial code through basic code and dynamic factor: The basic coding includes the device type, installation location, asset number and initialization timestamp, and generates dynamic factors by combining random numbers and real-time timestamp dynamic variables; S1-202, generates ciphertext by applying the encryption algorithm: The AES-256 algorithm is used for symmetric encryption. Through basic coding and combined with the RSA digital signature of the equipment manufacturer, the encoded ciphertext is generated to dynamically encrypt the identification code.

4. The electronic maintenance and management method for firefighting equipment based on RFID technology according to claim 2 is characterized in that: Bind and verify the QR code with the NFC code. The specific process is as follows: S1-301, obtain the plain text of the QR code through basic device information: Basic device information includes asset number, manufacturer, and maintenance phone number; S1-302, bind the QR code to the NFC code and write the device unique identification ID corresponding to the EPC area of the RFID tag; S1-303, verify whether the device IDs of RFID and NFC tags are consistent through the reader, and cross-check with the information after QR code parsing to ensure that the RFID-EPC, NFC-ID, and QR code associated ID are consistent.

5. The electronic maintenance and management method for firefighting equipment based on RFID technology according to claim 2 is characterized in that: Generate a hash value and upload it to the blockchain: S1-401, through RFID-EPC, dynamic encryption code, QR code content, NFC-NDEF data, device installation location, initialization timestamp, and integration marked as data to be uploaded to the chain; Perform hash calculation on the data to be uploaded to the chain to generate a 256-bit hexadecimal hash value; S1-402: Send a transaction request to the node using the blockchain SDK tool, carrying the device ID, hash value, and operation timestamp. The node verifies the sender's identity through a digital certificate and verifies data format compliance through a smart contract. After the transaction is confirmed by the consensus algorithm, the hash value is written into the blockchain to generate an unalterable block record. The transaction hash is then returned as the chain certificate and stored in the device management system database. S1-403, establish a mapping relationship between the device ID and the hash value in the blockchain, retrieve the blockchain through the device ID to obtain the hash value, and compare it with the local data to verify the data integrity. Among them, the dynamic encryption key and blockchain key are uniformly managed and rotated regularly.

6. The electronic maintenance and management method for firefighting equipment based on RFID technology according to claim 1 is characterized in that: The specific process of data writing in step S3 is: The maintenance personnel terminal initiates a write request with biometric authentication information attached; After the edge node verifies the legitimacy of the request, it generates a temporary session key; The data is encrypted with the session key, written into the tag, and synchronized to the blockchain; After the label storage area is updated, the map label status switch is automatically triggered.

7. The electronic maintenance and management method for firefighting equipment based on RFID technology according to claim 1 is characterized in that: The AI image recognition verification in step S4 includes: Inspection personnel use the camera of the reading device to collect the appearance image of the fire-fighting equipment and transmit the collected image to the AI image recognition system in real time; Activate the RFID tag through a reading device and obtain the information stored on it; Collect images of equipment appearance, extract feature vectors and compare them with historical databases, calculate the similarity between current image features and historical features, mark risky firefighting equipment, and push emergency work orders; Integrate the verification results of AI image recognition with the device information stored in the RFID tag: obtain the difference index by comparing the verification results and RFID coding information; set a threshold for the difference index. When the difference index exceeds the threshold, the manual review mechanism is triggered.

8. The electronic maintenance and management method for firefighting equipment based on RFID technology according to claim 1 is characterized in that: The generation logic of the repair task order in step S5 is: Determine the type of anomaly through system logs, including hardware damage, code tampering, and code failure; match the anomaly type with the preset repair strategy; If the abnormality is determined to be hardware damage, the nearest warehouse will be dispatched to deliver a spare device and the code will be updated; When the repair is completed, the new coding information is synchronized to the electronic maintenance management system of fire equipment.

9. The electronic maintenance and management system for firefighting equipment based on RFID technology is characterized by: The system comprises an identification and coding management module, a maintenance task order generation module, a dynamic data writing module, a patrol inspection and verification module, and a safety alarm module. Each module is communicatively connected to each other. The system applies the electronic maintenance and management method for fire-fighting equipment based on RFID technology as described in any one of claims 1 to 8 above. The identification code management module is used to encrypt and update identification codes: unique RFID tags are assigned to firefighting equipment, and the tags store dynamically encrypted identification codes. The identification codes are encrypted using a lightweight encryption algorithm, thereby integrating a dynamic key update mechanism and building a multi-modal hybrid coding system of RFID, QR code, and NFC, with each code serving as a redundant backup for the other. The maintenance task order generation module is used to generate fire equipment maintenance task orders: it generates a fire equipment fixed-point map based on the building completion fire inspection data, extracts a list of equipment requiring maintenance, generates a task order, and associates the task order with an encrypted identification code; The dynamic data writing module is used to write the encrypted identification code into the RFID tag: the maintenance record is updated in real time through the anti-metal RFID tag, thereby performing circular storage and rapid erasure, and the update operation is decentralized and recorded in conjunction with blockchain technology; The inspection and verification module is used for AI multi-modal assisted verification: it uses a mobile terminal to read RFID tags and verify the legitimacy of dynamic keys, and uses AI image recognition technology to assist in verifying the device appearance and QR code; The security alarm module is used to trigger an alarm when illegal behavior is detected and synchronize abnormal logs to the cloud.

Images