CN-122020980-A - Fire-fighting facility full life cycle management method and system

CN122020980ACN 122020980 ACN122020980 ACN 122020980ACN-122020980-A

Abstract

The invention provides a full life cycle management method and system of a fire-fighting facility, wherein the method comprises the steps of constructing an initial digital twin model with basic information of a sensing node according to design data of a building and the fire-fighting facility in a planning stage of the fire-fighting facility; the method comprises the steps of acquiring attribute data of a fire-fighting facility in a production and installation stage of the fire-fighting facility, correcting an initial digital twin model based on the attribute data to obtain a corrected digital twin model, acquiring operation data of the fire-fighting facility acquired by a sensing node in an operation and maintenance monitoring stage of the fire-fighting facility, dynamically updating the corrected digital twin model based on the operation data, generating an analysis report based on full life cycle data generated by the fire-fighting facility in a full life cycle when the fire-fighting facility reaches a scrapping condition, generating a design optimization suggestion based on the analysis report, and guiding planning and design of a subsequent fire-fighting facility. The invention is based on a dynamic evolution digital twin model, and improves the initiative, the accuracy and the scientificity of fire control management.

Inventors

MA YANJUAN
DONG LEI
Zhang Diehu
XIONG SONG

Assignees

武汉理工光科股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. A method for managing a full life cycle of a fire protection facility, comprising: In the planning stage of the fire-fighting equipment, constructing an initial digital twin model with basic information of sensing nodes according to design data of the building and the fire-fighting equipment; acquiring attribute data of the fire-fighting equipment in the production and installation stage of the fire-fighting equipment, and correcting the initial digital twin model based on the attribute data to obtain a corrected digital twin model; In an operation and maintenance monitoring stage of the fire-fighting equipment, acquiring operation data of the fire-fighting equipment acquired by the sensing node, and dynamically updating the modified digital twin model based on the operation data; when the fire-fighting facility reaches the scrapping condition, generating an analysis report based on full life cycle data generated by the fire-fighting facility in the full life cycle, and generating a design optimization suggestion based on the analysis report to guide the planning and design of the subsequent fire-fighting facility.
2. The fire protection facility full life cycle management method according to claim 1, wherein the sensing node comprises an optical fiber sensor and a video probe, and the basic information of the sensing node comprises preset installation positions and identity marks of the optical fiber sensor and the video probe in a building.
3. The fire protection facility full life cycle management method of claim 1, wherein the attribute data comprises manufacturing parameters, installation location actual measurement data, and factory inspection data of the fire protection facility.
4. The fire protection facility full life cycle management method of claim 2, wherein the fire protection facility comprises a plurality of fire protection components, then the method further comprises: constructing a binding relation between the sensing node and the fire fighting component; the dynamically updating the modified digital twin model based on the operational data comprises: And determining attribution of the operation data based on the binding relation so as to dynamically update the modified digital twin model.
5. The fire protection facility full life cycle management method of claim 4, wherein the constructing the binding relationship of the sensing node and the fire protection component comprises: When the sensing node is an optical fiber sensor, integrating a pre-built RFID-optical fiber integrated tag into the fire fighting assembly, wherein an RFID part in the RFID-optical fiber integrated tag stores an assembly unique identifier, an optical fiber sensing part is used for collecting operation data, and the binding relationship is established through the unique identifier; when the sensing node is a video probe, an association relation between the number of the video probe and the fire fighting assembly is constructed, and a binding relation between the video probe and the fire fighting assembly is constructed based on the association relation.
6. The fire protection facility full life cycle management method of claim 2, wherein the sensing node transmits the operation data through a heterogeneous communication network, wherein the heterogeneous communication network configures a differentiated transmission protocol for the sensing data of the optical fiber sensor and the video probe video data; The heterogeneous communication network comprises a 5G/LoRa, an optical fiber ring network and a base station, wherein the base station is used for carrying out data transmission when the communication of the 5G/LoRa and the optical fiber ring network is interrupted; The video data adopts a compression transmission protocol, and the sensing data adopts a low-delay transmission protocol.
7. The fire protection facility full life cycle management method of claim 1, wherein the dynamically updating the modified digital twin model based on the operational data comprises: inputting the operation data into a hidden danger diagnosis deep learning model to obtain hidden danger grade, confidence coefficient and key evidence data source of the fire fighting assembly; and dynamically updating the state attribute of the virtual fire fighting assembly in the modified digital twin model based on the hidden danger level.
8. The fire protection facility full life cycle management method of claim 7, further comprising: When the hidden danger level is a fire disaster level and the confidence coefficient is larger than a preset confidence coefficient, determining the three-dimensional position of a fire disaster point, the spreading simulation area, the real-time state of an affected evacuation channel and signal coverage intensity data of a communication base station in the area based on the digital twin model after dynamic updating; taking the current position of rescue force as a starting point, taking a fire disaster point as an end point, taking the passing state of the evacuation channel and the signal coverage intensity as dynamic weights, and determining a rescue path; And generating a scheduling scheme comprising a fire-fighting power deployment suggestion, an evacuation guiding instruction and a peripheral resource starting list according to the rescue path and the spreading simulation area.
9. The fire protection facility full life cycle management method of claim 7, further comprising: determining the predicted residual service life and hidden danger level of the fire-fighting component based on the dynamically updated digital twin model; And acquiring historical maintenance cost of the fire-fighting assembly, establishing an optimization model by taking the minimum total expected cost and the minimum risk level in a maintenance planning period as multiple targets, and solving the optimization model by adopting a genetic algorithm to acquire a maintenance strategy report comprising preventive maintenance time, required personnel skill combination and spare part list.
10. A fire protection facility full life cycle management system, comprising: The planning stage twin model building unit is used for building an initial digital twin model with basic information of a sensing node according to design data of a building and the fire-fighting facility in the planning stage of the fire-fighting facility; The production installation stage twin model building unit is used for acquiring attribute data of the fire-fighting facility in the production installation stage of the fire-fighting facility, and correcting the initial digital twin model based on the attribute data to obtain a corrected digital twin model; the operation and maintenance monitoring stage twin model building unit is used for acquiring operation data of the fire-fighting facility acquired by the sensing node in the operation and maintenance monitoring stage of the fire-fighting facility, and dynamically updating the modified digital twin model based on the operation data; and the full life cycle analysis unit is used for generating an analysis report based on full life cycle data generated by the fire-fighting equipment in the full life cycle when the fire-fighting equipment reaches the scrapping condition, generating a design optimization suggestion based on the analysis report and the dynamically updated digital twin model, and guiding the planning design of the subsequent fire-fighting equipment.

Description

Fire-fighting facility full life cycle management method and system Technical Field The invention relates to the technical field of intelligent fire protection, in particular to a full life cycle management method and system for a fire protection facility. Background Fire-fighting facilities are core physical barriers for guaranteeing building safety, and the reliability of the fire-fighting facilities directly relates to the life and property safety of personnel. With the development of smart city and internet of things, fire control management is evolving from a traditional manual mode to a digital and intelligent direction. However, the prior art scheme still has significant defects in the aspects of realizing the whole flow, the refinement and the intelligent management of the fire-fighting facilities, and is specifically expressed as follows: Firstly, the current fire-fighting facility management relates to a plurality of independent links such as planning and design (such as BIM), production and manufacture, installation and debugging, operation and maintenance monitoring, scrapping and recycling, and the like, and data of each link are respectively stored in different professional systems or paper files to form a serious data island. For example, operation and maintenance personnel can only acquire the current alarm state of the equipment, but cannot quickly trace back key history information such as design parameters, production batches, installation records and the like, so that the fault diagnosis efficiency is low, the root analysis is missing, and the full life cycle data penetration and asset track tracing cannot be realized. 2. The traditional management mode is highly dependent on manual regular inspection and off-line detection, has risks of missed detection and false detection, and cannot realize real-time and continuous sensing of equipment operation states (such as pipeline micro leakage, line overheating and mechanical fatigue). Thirdly, the prior art focuses on single-point monitoring at the operation and maintenance stage, and lacks a full-flow integrated management framework covering planning, production, installation, operation, maintenance and scrapping. Information is disjointed among the stages, and an effective feedback closed loop cannot be formed. For example, the scrapping decision is often based on a fixed service life, the actual loss data and the fault history of the equipment cannot be scientifically evaluated, and experience and data accumulated in operation and maintenance cannot be effectively fed back to the planning and design stage of the new generation facilities, so that similar problems repeatedly occur, and the full cycle value of the asset cannot be maximized. Fourth, the existing twin model is static or read-only, lacks the capability of real-time data synchronization and bidirectional interaction with physical entities, does not establish predictive maintenance, simulation deduction and intelligent decision support based on the twin model, and has insufficient technical value. Therefore, it is needed to provide a fire-fighting equipment full life cycle management method and system, which can break through the data barrier, realize the whole-course tracing, and drive intelligent decision based on dynamic digital twin model, so as to fundamentally promote the initiative, the accuracy and the scientificity of fire-fighting management. Disclosure of Invention In view of the foregoing, it is necessary to provide a method and a system for managing the full life cycle of a fire-fighting facility, which are used for solving the technical problems that the data barriers exist between different stages of the fire-fighting facility in the prior art, the full life cycle management cannot be realized, and the initiative, the accuracy and the scientificity of the fire-fighting management are low. To solve the above technical problems, in a first aspect, the present invention provides a fire protection facility full life cycle management method, including: In the planning stage of the fire-fighting equipment, constructing an initial digital twin model with basic information of sensing nodes according to design data of the building and the fire-fighting equipment; acquiring attribute data of the fire-fighting equipment in the production and installation stage of the fire-fighting equipment, and correcting the initial digital twin model based on the attribute data to obtain a corrected digital twin model; In an operation and maintenance monitoring stage of the fire-fighting equipment, acquiring operation data of the fire-fighting equipment acquired by the sensing node, and dynamically updating the modified digital twin model based on the operation data; when the fire-fighting facility reaches the scrapping condition, generating an analysis report based on full life cycle data generated by the fire-fighting facility in the full life cycle, and generating a design optimization s