CN110838081A - Intelligent detection method for building fire prevention and fire fighting facilities - Google Patents
Intelligent detection method for building fire prevention and fire fighting facilities Download PDFInfo
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Abstract
The invention aims to add an intelligent detection method for building fire prevention on the basis of an intelligent test analysis method for building fire-fighting facilities. It includes: the central processor (2), the fire test standard dictionary memory (3) and the engineering table memory (4) in the computer (1) are characterized in that: the interior of the project table memory (4) is divided into a building fire protection detection table (5) and a fire protection facility detection table (6). The intelligent detection range can be expanded to the fields of passive fire prevention, active fire prevention, safe evacuation, fire extinguishing and rescue and the like, and the data collection and preliminary analysis can be converted from manual work to mobile phone intelligence, so that the omnibearing and multilevel intelligent detection of the building fire protection detection is realized.
Description
The technical field is as follows: the invention relates to an intelligent fire protection detection method for a building.
Background art: before the invention, only an intelligent test analysis method about building fire-fighting facilities exists, and an intelligent detection method for building fire prevention does not exist.
The invention content is as follows:
the invention aims to add an intelligent detection method for building fire prevention on the basis of an intelligent test analysis method for building fire-fighting facilities.
It includes: the central processor (2), fire control test standard dictionary memory (3), engineering table memory (4) in computer (1), its characterized in that: the interior of the project table memory (4) is divided into a building fire protection detection table (5) and a fire protection facility detection table (6). Fire fighting equipment detection table (6) in patent No.: there is a table in ZL 01107623.2. The building fire prevention detection table (5) can comprise building types, fire resistance levels, fire prevention intervals, fire fighting lanes, rescue sites and entrances, special places, plane arrangement, fire prevention partitions and floors, evacuation doors, evacuation walkways, evacuation staircases, smoke-proof staircase front rooms, fire elevator front rooms and shared front rooms, safety exits, refuge facilities, fire elevators, elevator shafts and other vertical wells for building fire prevention detection, building heat preservation, indoor decoration and building explosion prevention. The fire-fighting equipment detection table (6) can also comprise fire-fighting water supply, a water mist fire-extinguishing system, a fixed fire monitor fire-extinguishing system, a dry powder fire-extinguishing system, a building fire extinguisher and an urban fire-fighting remote monitoring system. The building fire prevention detection table (5) is divided into civil buildings and industrial buildings, and the core contents of the table are a passive fire prevention system, a safety evacuation system and fire rescue (fire safety technology comprehensive capability written by fire department of public security).
The project form memory (4) is internally provided with a fire-fighting facility and product material data checking registry (7) which comprises equipment names, quantity, product models, manufacturers, certification documents conforming to legal market admission rules, certificates, delivery dates, witness sampling reports of decoration materials, and certification documents of the combustion performance grade of the decoration materials.
The project table storage (4) is internally provided with a sub-item evaluation, single evaluation and comprehensive judgment table (8), and the sub-item is a project which forms a fire protection facility, a fire extinguishing system or has a single use function and relates to fire safety; the single item is a fire safety-related item consisting of a plurality of sub-items with similar use properties or functions; and comprehensively judging to combine the detection results of the single item and the sub item to carry out comprehensive evaluation.
The project table storage (4) is internally provided with a building basic information table (9) which comprises building names, addresses, building heights, areas, use properties, danger levels, design units, construction units, supervision units and fire-fighting facilities.
The project table storage (4) is internally provided with a basic information data table (10) of the detection technicians, including names, technical levels and post responsibilities.
The project table memory (4) is internally provided with an adjustment proposal and a measure table (11) which comprises single item and sub item names, specific positions, equipment numbers and specification requirements of adjustment measures.
A standard information table (12) with detection items in the engineering table storage (4) comprises standard contents and standard specification information sources.
The engineering table storage (4) is internally provided with a technical specification reference table (13) containing the related national engineering construction fire protection technical standard.
The project table storage (4) is internally provided with detection items and a detection requirement table (14) comprises detection technical requirements involved in a single detection sub item.
The computer (1) is connected with a fire-fighting management big data platform (27) through a network. The fire-fighting management big data platform (27) provides fire-fighting safety information for governments, and comprises building general information, building main use function information, property management unit general information, fire-fighting safety key position general information and main fire-fighting system information. The computer (1) is networked with the fire protection management big data platform (27), and the detection data and the analysis conclusion information generated by the computer (1) are transmitted to the fire protection management big data platform (27). The fire-fighting management big data platform (27) forms a prospective special scheme for remedying the fire-fighting safety problem and provides the scheme for the fire-fighting management department as a decision basis.
The intelligent mobile phone (15) is connected with the computer (1), the function software (16) is arranged in the intelligent mobile phone (15), the intelligent mobile phone (15) is connected with the computer (1) through a public mobile network, and the function software (16) arranged in the intelligent mobile phone (15) synchronously transmits detected and analyzed data to the computer (1) in real time.
The functional software (16) is used for data acquisition (17) and intelligent technical analysis (18), and the data acquisition (17) comprises information such as single detection of detection items and qualitative and quantitative information of system functions; the intelligent technical analysis (18) is that the system carries out technical analysis on the acquired information by contrasting a standard information table (12) of a detection project of a computer or a mobile phone to obtain a detection result.
The technician's qualification software (19) verifies that the detection technician qualified by the corresponding fire department professional is logged into operation by an authorized party.
And locking the position of the detected building by the positioning software (20) of the detected project according to the position of the project and the positioning function of the mobile phone.
The two-dimensional code identification software (21) of the fire-fighting equipment identifies the unique information of the corresponding fire-fighting equipment according to the two-dimensional code.
The fire-fighting facility image uploading software (22) uploads image information of key parts and equipment facilities.
And the form interface automatic pop-up software (23) fuses the detection technology form according to the national engineering construction fire protection technology standard.
And comprehensive evaluation software (24) performs comprehensive evaluation according to the detection item, the sub item and the single item.
And the data management software (25) stores, backs up, records, queries, counts and reports all the detection data.
Data query software (26) queries all of the test data.
The intelligent detection range can be expanded to the fields of passive fire prevention, active fire prevention, safe evacuation, fire extinguishing and rescue and the like, and the data collection and preliminary analysis can be converted from manual work to mobile phone intelligence, so that the omnibearing and multilevel intelligent detection of the building fire protection detection is realized.
Description of the drawings:
FIG. 1 is a block diagram of an intelligent fire detection method according to the present invention.
Fig. 2 is a detailed block diagram of the method of fig. 1.
Fig. 3 is a block diagram of another fire protection intelligent detection method of the present invention connected to a mobile network.
Fig. 4 is a block diagram of one implementation of fig. 3.
Fig. 5 is a connection diagram of the computer (1) and the fire management big data platform (27).
The specific implementation mode is as follows:
See fig. 1, 2.
The computer (1) is composed of a Pentium i3 processor, a memory 16G, a hard disk 2T, a micro star mainboard and database management software; and the system is formed by networking with a plurality of business computers.
The central processor (2) is an intelligent processing system stored in a hard disk.
The fire-fighting test standard dictionary memory (3) is stored with Guangdong province standard DBJ/T15-110-.
The project table memory (4) stores various project tables required for detection.
The building fire detection table (5) is included in the Guangdong province standard DBJ/T15-110-.
The fire-fighting equipment detection table (6) is contained in the Guangdong province standard DBJ/T15-110-.
The fire-fighting equipment and product material data check registry (7) is contained in the Guangdong province standard DBJ/T15-110-.
The sub-term evaluation, single term evaluation and comprehensive evaluation table (8) is contained in the Guangdong province standard DBJ/T15-110-2015.
The building basic information table (9) is included in the Guangdong province standard DBJ/T15-110-.
The basic information data table (10) of the detection technicians contains the file information of the enterprise professionals.
The correction suggestion and measure table (11) is contained in the Guangdong province standard DBJ/T15-110-.
The standard information table (12) of the detection items is contained in the Guangdong province standard DBJ/T15-110-2015.
The specification reference table (13) is included in the Guangdong province standard DBJ/T15-110-.
The detection items and detection request table (14) are included in the Guangdong province standard DBJ/T15-110-2015.
The working process is as follows: professional detection technicians in various aspects are formed as required, data collection and form filling are carried out on site, then data entry of the computer (1) is carried out, and finally the final result is obtained through intelligent test and analysis of the computer (1).
Example 2
See fig. 3, 4.
The smart phone (15) is a device with a mobile network communication function.
The functional software (16) is installed in the smart phone (15) and is communicated with the mobile network of the computer (1) and exchanges data. The software is commercially available.
Data acquisition (17) is performed at the inspection site with a smart phone (15).
After data acquisition (17) by the intelligent technology analysis (18), a fire test standard dictionary memory (3) in the computer (1) or the smart phone (15) is read through a mobile network for comparison, and a result is obtained in real time. And the result is transmitted to the computer (1) through the mobile network for comprehensive final intelligent analysis.
The technician's qualification software (19) is used to detect the qualification of the technician online, excluding non-compliance.
Positioning software (20) of the detected project is used for accurately positioning the detected target.
The fire fighting equipment two-dimensional code identification software (21) is used for preventing the fire fighting equipment from being missed or rechecked.
Facility image storage and upload software (22) is used to check the authenticity of key fire equipment facilities detections.
Form interface automatic pop-up software (23) is used for the detection technician to input the detection data into the form interface in time.
The comprehensive evaluation software (24) is used for carrying out comprehensive analysis and evaluation on data collected by the intelligent mobile phone (15) of the project to be tested through the computer (1).
The data management software (25) stores, backups, logs, queries, statistics and reports the data of the computer (1).
The data inquiry software (26) is used for inquiring the data transmitted to the computer (1) by the smart phone (15) through the mobile network in real time.
The working process is as follows: professional detection technicians forming multiple disciplines are formed as required, the intelligent mobile phone (15) is used for performing data acquisition such as qualification examination, site positioning, image uploading, two-dimensional code scanning and the like on site, the data acquisition is transmitted to the computer (1) through a mobile network, and finally the final result is obtained through intelligent testing and analysis of the computer (1).
Example 3
See fig. 5.
The computer (1) is connected with a fire-fighting management big data platform (27) through a network. The fire-fighting management big data platform (27) provides fire-fighting safety information for governments, and comprises building general information (such as longitude, latitude, title unit name, building type, area and the like), building main use function information (such as building floor, use function, specific place and the like), property management unit general information (such as property management unit name, address, responsible person and the like), fire-fighting safety key part general information (such as fire control room, fire pump room, diesel generator room and the like), main fire-fighting system information (such as fire hydrant system, automatic water spraying system, fire automatic alarm system and the like). The computer (1) is networked with the fire protection management big data platform (27), and the detection data and the analysis conclusion information generated by the computer (1) are transmitted to the fire protection management big data platform (27). The fire-fighting management big data platform (27) forms a prospective special scheme for remedying the fire-fighting safety problem and provides the scheme for the fire-fighting management department as a decision basis. The rest is the same as in example 2.
Claims (13)
1. An intelligent detection method for building fire prevention and fire fighting facilities comprises the following steps: the central processor (2), the fire test standard dictionary memory (3) and the engineering table memory (4) in the computer (1) are characterized in that: the interior of the project table memory (4) is divided into a building fire protection detection table (5) and a fire protection facility detection table (6).
2. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: the project form memory (4) is stored with a fire-fighting facility and product material data checking register table (7).
3. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: the project table memory (4) is internally provided with a sub-item evaluation, single item evaluation and comprehensive evaluation table (8).
4. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: the project table memory (4) is internally provided with a building basic information table (9).
5. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: the engineering table memory (4) is internally provided with a basic information data table (10) of the detection technician.
6. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: the project table memory (4) is internally provided with an adjustment suggestion and measure table (11).
7. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: a standard information table (12) of the detection items is stored in the project table storage (4).
8. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: the engineering table storage (4) is internally provided with a technical specification reference table (13).
9. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: the project table storage (4) is internally provided with detection items and a detection requirement table (14).
10. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: the computer (1) is connected with a fire-fighting management big data platform (27) through a network.
11. The intelligent detection method for fire protection of buildings according to claim 1 is characterized in that: the smart phone (15) is connected with the computer (1), and the smart phone (15) is internally provided with functional software (16).
12. The intelligent detection method for fire protection of buildings according to claim 10 is characterized in that: the functional software (16) is used for data acquisition (17) and intelligent technical analysis (18).
13. The intelligent detection method for fire protection of buildings according to claim 10 or 11, characterized in that: the system comprises qualification examination software (19) with technicians, positioning software (20) of a project to be detected, fire-fighting equipment two-dimensional code identification software (21), equipment picture storage and uploading software (22), form interface automatic popup software (23), comprehensive evaluation software (24), data management software (25) and data query software (26).
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| CN201911103501.1A CN110838081A (en) | 2019-11-12 | 2019-11-12 | Intelligent detection method for building fire prevention and fire fighting facilities |
| CN202010677489.1A CN111652784A (en) | 2019-11-12 | 2020-07-14 | Intelligent detection method for building fire protection system |
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| CN113730861A (en) * | 2021-09-06 | 2021-12-03 | 河南省平安消防工程有限公司 | Detection method for fire safety facilities |
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| CN106412073B (en) * | 2016-10-10 | 2019-05-24 | 青岛亿联信息科技股份有限公司 | A kind of network system for detection of building fire equipment |
| CN106940835A (en) * | 2017-01-27 | 2017-07-11 | 雷华锋 | A kind of building or structures security against fire risk assessment and retroactive method |
| CN107506930A (en) * | 2017-08-28 | 2017-12-22 | 上海网罗电子科技有限公司 | A kind of fire supervision inspection system and method based on artificial intelligence |
| CN109767125A (en) * | 2019-01-14 | 2019-05-17 | 上海瑞眼科技有限公司 | A kind of intelligent Fire Safety Assessment Method and equipment of building |
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Addressee: GUANGDONG BUILDING FIRE FIGHTING FACILITIES TEST CENTER Co.,Ltd. Document name: Notification of Publication of the Application for Invention |
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