CN207895646U - Intelligent building automatic fire alarm system - Google Patents

Intelligent building automatic fire alarm system Download PDF

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Publication number
CN207895646U
CN207895646U CN201820265190.3U CN201820265190U CN207895646U CN 207895646 U CN207895646 U CN 207895646U CN 201820265190 U CN201820265190 U CN 201820265190U CN 207895646 U CN207895646 U CN 207895646U
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China
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fire
fire alarm
intelligent building
control unit
building automatic
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Expired - Fee Related
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CN201820265190.3U
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Chinese (zh)
Inventor
蒋振宇
王敬之
李彦龙
刘会超
刘健
孟学民
杨继森
于存虎
李微
李四光
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Individual
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Abstract

The utility model discloses a kind of intelligent building automatic fire alarm systems, including fire signal detector, apparatus for transmitting signal, data management system, fire alarm control unit and warning device, one end of the data management system is connect by analog-digital converter with fire signal detector, the other end is connect by apparatus for transmitting signal with fire alarm control unit, and the fire alarm control unit is connect by digital analog converter with warning device.Nonlinear Dynamics exploitation of the utility model device based on fire of high-rise building, quantitative calculating is carried out to the complexity and uncertainty of fire according to signals such as in-situ measurement temperature, gas flow rate, flue gas concentration, pressure, current fire behavior and fire development trend are analyzed, there is higher reliability and science.

Description

Intelligent building automatic fire alarm system
Technical field
The utility model is related to a kind of fire monitoring early-warning and predicting device, in particular to a kind of intelligence with self-learning function It can building fire automatic alarm system.
Background technology
With the rapid development of urban economy construction, the continuous improvement of living standards of the people and all other causes it is emerging Prosperous prosperity, urban land growing tension promote building just to develop towards high stratification, densification direction, and the finishing of building is used Material and mode also become more diverse, and with the increasing of power load and coal gas consumption, are proposed to Design of automatic fire alarm system Higher, tightened up requirement.The fire of skyscraper has:Fire spreading is fast, evacuating personnel is difficult, difficulty of putting out a fire to save life and property is big, fire Feature more than hidden danger, therefore great harmfulness.To ensure the safety of people's lives and properties, Design of automatic fire alarm system just at For one of most important content in high-rise building design.Use high-quality advanced fire monitoring early-warning and predicting device, accurate judgement Whether fire location and Accurate Prediction burning things which may cause a fire disaster can develop into fire, and predict fire rank and development degree, be convenient for It is timely puted out a fire to save life and property, to ensuring that skyscraper operation security is even more important.
Fire is a kind of combustion phenomena out of control on space-time, currently to improve fire of high-rise building early warning accuracy and Promptness, the most lacking are the mechanism study to this complex object phenomenon of fire, and fire is occurred, that development is made is accurate, The method judged in time.It is to generate burning gases, followed by release first from the point of view of the form of expression of common combustible substance burning Smog is put, under the conditions of oxygen supply is sufficient, burning is can be only achieved, generates flame, and give out a large amount of heat, make environment temperature Degree increases.Therefore fire behavior development in most cases, always from the beginning of long with the time shared by the stage of glowing, fire at this time Destructiveness be not up to maximum, if can early warning and control be carried out to fire early, so that it may be effectively prevented from the generation of serious the condition of a disaster.
In current fire of high-rise building inspection prewarning forecasting apparatus, the single sense cigarette type sensor of generally use, sense Warm optical cable or CCD (computer control shows video camera), the disadvantage is that:Not to high building structure and fire characteristics specific aim By force, monitoring means is single, poor reliability, and the flame of alcohol burn generation, temperature sensing sensor can not be detected by such as feeling cigarette type sensor It is then not easy to find that smoldering fire, CCD camera can not distinguish the difference of mobile high temp objects and fire, fail to report so as to generate It is alert;Meanwhile existing photosensitive, sense cigarette, temperature sensitive type Detection Techniques, flame either fire can only be detected and be happened at certain detecting areas In domain, and it can not determine the definite position that fire occurs and the feelings of missing inspection, wrong report also usually occur additionally, due to the interference of environment Condition.
Utility model content
The purpose of the utility model is to overcome defect existing for existing fire of high-rise building inspection prewarning forecasting apparatus and not Foot, provide it is a kind of being based on artificial intelligence and fuzzy control technology, with self-learning function, accurately and efficiently intelligent building fire Calamity automatic alarm system.
A kind of intelligent building automatic fire alarm system, including fire signal detector, apparatus for transmitting signal, data management One end of device, fire alarm control unit and warning device, the data management system is detected by analog-digital converter and fire signal Device connects, and the other end is connect by apparatus for transmitting signal with fire alarm control unit, and the fire alarm control unit passes through digital-to-analogue Converter is connect with warning device.
The data management system is computer, including database, data processor two parts;The data management system and height Layer building system ventilation heat exchange measuring device connection;The fire signal detector, be ionic smoke sensor, gas sensor and/or Temperature sensor;The fire alarm control unit further includes manual pull station;The warning device includes fire-fighting link, fire-fighting Broadcast, Fire telephone, emergency lighting and alarm logging equipment.
The utility model has the following advantages that and effect compared with the early warning technology of existing building fire:
(1) data transfer uses multilevel priority network communication technology, the new fire alarm under any one Node station Signal always possesses highest priority, ensures that it is sent to fire control system prior to other event signals, in conjunction with computer Parallel processing technique ensures that the reaction time of system is short, and the speed of service is fast;
(2) the fire alarm rank for using fuzzy neural network technology prediction fire of high-rise building to occur, prediction result is returned System constantly corrects sample set and decision rule, realizes the high fault tolerance and intelligence of system using the self-learning capability of neural network Energyization;
(3) it introduces nonlinear kinetics and basic theory is carried out to fire of high-rise building mechanism, establish in different structure feature Fire of high-rise building model, according to signals such as in-situ measurement temperature, gas flow rate, flue gas concentration, pressure to the complexity of fire Property and uncertainty carry out quantitative calculating, analyze current fire behavior and fire development trend, provided by force for rescue and fire-fighting work Strong theoretical foundation greatly enhances the reliability and science of early warning system.
Description of the drawings
Fig. 1 is the structural schematic diagram of the utility model;
Fig. 2 is the Nonlinear Processing process schematic diagram of the utility model prediction the condition of a disaster development.
Specific implementation mode
With reference to embodiment and attached drawing, the present invention is described in further detail.
As shown in Figure 1, the utility model intelligent building automatic fire alarm system, including fire signal detector 1, fire Signal sensor 2, analog-digital converter 3, data management system 4, monitor 5, apparatus for transmitting signal 6, fire alarm control unit 7, number Mode converter 8, warning device 9.
Data management system 4 is realized by computer, is connected with each other by data processor 4-1, database 4-2 two parts Composition;Fire signal detector 1,2 can be ionic smoke sensor, gas sensor, temperature sensor or flame optical detector, also may be used To be the combination of ionic smoke sensor, gas sensor or temperature sensor and flame optical detector;Data processor 4-1 passes through modulus Converter 3 is connect with fire signal detector 1,2, and data processor 4-1 is surveyed with monitor 5, the heat exchange of skyscraper system ventilation Amount device 10 is separately connected;Data processor 4-1 is also connect by apparatus for transmitting signal 6 with fire alarm control unit 7, fire report Alert controller 7 is connect by digital analog converter 8 with warning device 9, and fire alarm control unit 7 is equipped with manual pull station 11, report Alert equipment 9 includes the fire-fighting link 9-1 being already equipped in skyscraper building, fire broadcast 9-2, Fire telephone 9-3, emergent photograph The equipment such as bright 9-4, alarm logging 9-5.Fire signal detector may be used HST8110 intelligent photoelectric smoke sensings detector, Intelligently smoke and temperature inductive combined detector, HST8140 intelligence smoke-temperature sensings CO are compound by HST8120 intelligent temp.-sensitive controlleds detector, HST8130 Detector.
The environmental factors such as skyscraper mesoclimate, heat flow, natural light variation can interference monitoring instrument differentiation as a result, Wherein due to differentiating that difference between output signal A and B, the utility model use neural network caused by neural computing error The study of result, which is improved, to be differentiated to direct surveillance, realizes self study and adaptation function.
On the one hand fire of high-rise building is a nonlinear characteristic affected by many factors, complicated, be pyrolyzed in fire, On the other hand, although being influenced by numerous Hot disaster factors, embody complexity, similar environment and under the conditions of, The occurrence and development process of fire but similar rule can be embodied.Skyscraper building is commonly divided into Zhongting, room, building Between ladder, this several space-like of elevator, construction material, construction, space characteristics, heat exchange air exchange system are marked all in accordance with it in each space-like Alignment request designs, to have similar burning situation with space-like.Based on to skyscraper architectural feature and combustion process Understanding, the method that the utility model is combined using nonlinear model and pattern-recognition, to the development of fire in skyscraper into Row prediction.According to skyscraper different type space buildings feature, establishes volatile matter pyrolysis and flash over mould with combustion model, combustible The Coupled Map Lattices mould of type, flame propagation model, fire spread model, the chaotic model of smoke plume and fire and smoke spread Type, to construct the fire prediction model for considering various correlative factors.Respectively be directed to different type space, to basic research, Laboratory experiment, field research and numerical simulation build up relevant feature, constitute fire development set of patterns, are stored in fire Basic data, sorted out, be stored in fire data base 4-2.
As shown in Fig. 2, the analog signal that fire signal detector obtains is transferred to data processor by analog-digital converter 3 The fire development prediction module 4-1-3 of 4-1, the ventilation heat exchange parameter that skyscraper system ventilation heat exchange measuring device 10 measures, It is transferred to fire development prediction module 4-1-3 also by data-interface.When data processor 4-1, which detects fire, to be occurred, lead to The addressing to monitoring signals is crossed, obtains the specific location that fire occurs, and positioning signal is transferred to fire development prediction module 4-1-3.Fire development prediction module 4-1-3 characterizes the detectable signal of current fire development degree by the positioning signal:Temperature Degree, pressure, flue gas concentration, gas ingredients and ventilation condition inquire the type skyscraper space fire in database 4-2 Reference pattern collection carries out model comparision, and it is to belong to glow, Initial Stage of Fire or belong to big fire scope to analyze current fire.So These detectable signals are passed to corresponding nonlinear prediction computation model afterwards, pass through volatile matter pyrolysis and combustion model, combustible Flash over the Coupled lattice of model, flame propagation model, fire spread model, the chaotic model of smoke plume and fire and smoke spread Submodel predicts the development of fire in real time.The prediction result and database 4-2 things of model comparision and fire development The respective handling decision first stored is shown on monitor 5.Meanwhile the development degree of current fire characteristic signal and fire Database 4-2 is fed back to, reference pattern collection is supplemented.
Since there is fire phenomena variability, certain physical quantitys to be influenced by environment other factors, instantaneous value is shown Certain randomness fits like a glove to make the signal being actually detected be difficult to and provide pattern, therefore, mould in the utility model The method that formula relatively uses fuzzy diagnosis is judged by the approach degree size of object to be monitored and known mode.
In conclusion the utility model design is judged using advanced Fire Detection Algorithm and Fire Mode recognition methods Fire information is the intelligent fire detection alarm system with " higher intelligence ", its working principle is that:
The data such as temperature, pressure, flue gas, the gas ingredients that detector in-situ measurement and investigation are obtained are through analog-digital converter It is sent to through apparatus for transmitting signal 6 signal input fire of high-rise building data management system 4, then by physical quantity signal change procedure Fire alarm control unit 7, the fire of high-rise building reference pattern that physical quantity signal change procedure is established with this system are compared, The prediction case to fire of high-rise building the condition of a disaster is obtained after comparison, the judgement whether fire occurs is made, sentences further according to this It is disconnected to decide whether that provide fire alarm signal passes to report by fire alarm after judgement has fire alarm through digital analog converter Alert equipment 9, fire department carry out work of putting out a fire to save life and property after receiving fire alarm.By manual fire alarm call point 11 artificially to fire alarm Controller 7 makes a response and alarm is made effectively to implement, and the fire the condition of a disaster made each time to device judges and fire alarm accuracy rate Fire of high-rise building data management system 4 is fed back to through analog-digital converter, artificial neural network technology carries out the data of feedback certainly Study constantly corrects sample set and decision rule, and then improves forest fire reference pattern;The data storage finally fed back In fire data base 4-2, the basic data as the differentiation of later fire of high-rise building.The design uses the non-linear machine of fire Reason, fuzzy theory and artificial neural network technology are combined the fire of high-rise building database set up, the energy with self study The process of power and Knowledge Discovery, obtains reliable fault-tolerance high training sample set and decision rule, can constantly self supplement and It is perfect, contribute to the mechanism study of fire of high-rise building and improve the intelligentized degree of fire alarm, greatly improves fire of high-rise building Accuracy, promptness and the reliability of fire alarm.
The above description is only the embodiments of the present invention, and it does not limit the scope of the patent of the present invention, every Equivalent structure or equivalent flow shift made based on the specification and figures of the utility model, is applied directly or indirectly in Other related technical areas are equally included in the patent within the scope of the utility model.

Claims (6)

1. a kind of intelligent building automatic fire alarm system, it is characterised in that including fire signal detector, apparatus for transmitting signal, One end of data management system, fire alarm control unit and warning device, the data management system passes through analog-digital converter and fire Signal sensor connects, and the other end is connect by apparatus for transmitting signal with fire alarm control unit, the fire alarm control unit It is connect with warning device by digital analog converter.
2. a kind of intelligent building automatic fire alarm system according to claim 1, it is characterised in that:The data management Device is computer, including database, data processor two parts.
3. a kind of intelligent building automatic fire alarm system according to claim 1 or 2, it is characterised in that:The data Manager is connect with skyscraper system ventilation heat exchange measuring device.
4. a kind of intelligent building automatic fire alarm system according to claim 3, it is characterised in that:The fire signal Detector is ionic smoke sensor, gas sensor and/or temperature sensor.
5. a kind of intelligent building automatic fire alarm system according to claim 4, it is characterised in that:The fire alarm Controller further includes manual pull station.
6. a kind of intelligent building automatic fire alarm system according to claim 5, it is characterised in that:The warning device Including fire-fighting link, fire broadcast, Fire telephone, emergency lighting and alarm logging equipment.
CN201820265190.3U 2018-02-24 2018-02-24 Intelligent building automatic fire alarm system Expired - Fee Related CN207895646U (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110124227A (en) * 2019-05-22 2019-08-16 成张佳宁 A kind of fire prevention to high buildings control system and its working method
CN111508182A (en) * 2020-04-29 2020-08-07 湖南天睿小微科技有限公司 Novel monitoring alarm system for community fire fighting through Internet of things
CN112116775A (en) * 2020-10-14 2020-12-22 珠海格力电器股份有限公司 Fire detection method of multi-split air-conditioning equipment and multi-split air-conditioning system
CN112581711A (en) * 2020-12-02 2021-03-30 白秋琳 Chemical experiment safety protection system and method

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110124227A (en) * 2019-05-22 2019-08-16 成张佳宁 A kind of fire prevention to high buildings control system and its working method
CN110124227B (en) * 2019-05-22 2020-09-01 南通居者安建筑科学研究院有限公司 High-rise building fire prevention control system and working method thereof
CN111508182A (en) * 2020-04-29 2020-08-07 湖南天睿小微科技有限公司 Novel monitoring alarm system for community fire fighting through Internet of things
CN112116775A (en) * 2020-10-14 2020-12-22 珠海格力电器股份有限公司 Fire detection method of multi-split air-conditioning equipment and multi-split air-conditioning system
CN112581711A (en) * 2020-12-02 2021-03-30 白秋琳 Chemical experiment safety protection system and method

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Granted publication date: 20180921

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