CN105931411A - Firefighting remote monitoring and early warning platform of multistoried building and realization method of platform - Google Patents
Firefighting remote monitoring and early warning platform of multistoried building and realization method of platform Download PDFInfo
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- CN105931411A CN105931411A CN201610416231.XA CN201610416231A CN105931411A CN 105931411 A CN105931411 A CN 105931411A CN 201610416231 A CN201610416231 A CN 201610416231A CN 105931411 A CN105931411 A CN 105931411A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
Abstract
The invention discloses a firefighting remote monitoring and early warning platform of a multistoried building and a realization method of the platform. The platform comprises a sensor module, a video monitoring terminal, a main monitoring station, an auxiliary operation station, an internal network, an onsite control terminal and a remote monitoring center. The method comprises that multiple sensors collect onsite firefighting data of the building; a double-spectrum detector obtains a monitoring image; intelligent firefighting analysis on the multistoried building is carried out automatically according to the onsite firefighting data by utilizing a multi-sensor data fusion method, and confirmed early warning information or alarm information is output; intelligent firefighting analysis on the multistoried building is carried out automatically according to the monitoring image by utilizing an improved video identification algorithm, and confirmed early warning information or alarm information is output; and the confirmed early warning information or alarm information is sent to a remote monitoring center for remote firefighting monitoring and early warning. The platform and method have the advantages of simple structure, low cost and false alarm rate and high efficiency and intelligent degree, and can be widely applied to the technical field of firefighting control.
Description
Technical field
The present invention relates to technical field of fire control, especially a kind of tier building fire remote-monitoring early warning platform and realization side thereof
Method.
Background technology
Along with urban architecture is more and more intensive, cause some performance of ventilating built to become worse and worse, add high temperature drying sky
Gas, some pile up have foreign material and have little time process building be just easy to breaking out of fire；The usage amount of electrical equipment gets more and more, merit
Rate is the most increasing, due to circuit aging or load is excessive, and also can initiation fire easily.
Fire-fighting is one of important step of construction project, is the principal element of current urban environmental impact, it have across cycle length,
The features such as impact is big.At present, the fire-fighting of people consciousness has strengthened a lot, and building interior has been provided with fire protection many；
But, once breaking out of fire, the number of casualties still compares many, and accident investigation finds afterwards, cause that the number of casualties is too much one
Major reason is to lack at present real-time, effective and intelligentized fire fighting monitoring Forewarning Measures, both cannot the condition of a fire at the beginning when
Find in time and notify that the personnel in building take corresponding counter-measure immediately, also cannot automatically network in the very first time and notify city
City's FCC carries out fire rescue.
To this end, fire-fighting automatic alarm long distance control system is arisen at the historic moment.Fire-fighting automatic alarm long distance control system, based on fire-fighting report
Alert technology and computer networking technology, the operator on duty of networking structural fire protection control room can be assisted to confirm accurately and in time and on
Reporting a fire, time of fire alarming, shortening alarm procedure, strive for that quality time rapid responding is put out a fire the most ahead of time.
But, current fire-fighting automatic alarm long distance control system still suffers from following defect or deficiency:
1) structure is complicated, relatively costly, it is difficult to carry out popularization and application；
2) mode of artificial alarming determining is mostly still continued to use, inefficient and easily cause wrong report；
3) just cannot carry out early warning in advance before building breaking out of fire, intelligence degree is low.
Summary of the invention
For solving above-mentioned technical problem, it is an object of the invention to: a kind of simple in construction, low cost, efficiency height, wrong report are provided
Rate is low and intelligence degree is high, tier building fire remote-monitoring early warning platform.
Another object of the present invention is to: provide a kind of efficiency height, rate of false alarm is low and intelligence degree is high, and tier building disappears
The implementation method of anti-long-range monitoring and early warning platform.
The technical solution used in the present invention is:
A kind of tier building fire remote-monitoring early warning platform, including:
Sensor acquisition module, for by the on-the-spot fire-fighting data of multiple sensor acquisition buildings, described scene fire-fighting data
Include but not limited to fire signal, alarm signal, temperature signal, cigarette sense signal and building management demographic data；
Video Monitoring Terminal, for the fire-fighting scene by double spectral detectors monitoring building, obtains monitoring image；
Master station, for comprehensively using multi-data fusion method and video recognition algorithms according to on-the-spot fire-fighting data and monitoring image
Automatically tier building Intelligent fire-fighting analysis, the early warning information after output confirmation or warning message, described tier building fire-fighting intelligence are carried out
Can analyze and include but not limited to that building fire automatically analyzes, hidden fire-fighting danger gives warning in advance, automatic fire alarm confirms and alarm intelligent
Decision-making；
Auxiliary active station, for collecting and displaying scene fire-fighting data and monitoring image, the result of master station intellectual analysis and build
Build the management information of thing；
Field control terminal, for being uploaded to master station and auxiliary active station by scene fire-fighting data and monitoring image；
Internal network, for realizing the interconnection communication of field control terminal, master station, auxiliary active station and remote monitoring center；
Remote monitoring center, for being connected with master station communication by the Internet, to carry out fire remote-monitoring early warning；
Described sensor acquisition module and Video Monitoring Terminal are all connected with field control terminal by fieldbus, described scene
Control terminal, master station, auxiliary active station and remote monitoring center to be all connected with internal network.
Further, described fieldbus includes POWER-BUS bus and M-BUS bus, and described sensor assembly passes through
POWER-BUS bus is connected with field control terminal, and described Video Monitoring Terminal is by M-BUS bus with field control eventually
End connects, and described POWER-BUS bus and M-BUS bus all have employed module level isolation structure.
Further, described field control terminal includes communication verification interface, microprocessor, field-bus interface, internal memory and power supply,
Described communication verification interface, EBI, internal memory and power supply are all connected with microprocessor, described field-bus interface also with scene
Bus connects.
Further, described master station is provided with governor circuit, described governor circuit by INTERNAT network-bus with inside
Network connects, and described governor circuit is set by fire-fighting data fusion detector unit, video image analysis unit, target to be monitored parameter
Cell, early warning monitoring unit, facility routing inspection unit, alert data statistic unit and building geographical information management unit composition.
Further, described auxiliary active station is provided with building client, and described building client is total by INTERNAT network
Line and be connected with internal network, described building client is by building information query unit, display unit, service request and throwing
Tell unit and building management personnel Job Management Sheet unit composition.
What the present invention was taked another solution is that
The implementation method of a kind of tier building fire remote-monitoring early warning platform, comprises the following steps:
By the on-the-spot fire-fighting data of multiple sensor acquisition buildings, described on-the-spot fire-fighting data include but not limited to fire signal,
Alarm signal, temperature signal, cigarette sense signal and building management demographic data；
By the fire-fighting scene of double spectral detectors monitoring building, obtain monitoring image；
Automatically carrying out tier building Intelligent fire-fighting analysis according to on-the-spot fire-fighting data acquisition Fusion method, output confirms
After early warning information or warning message, described tier building Intelligent fire-fighting analysis includes but not limited to that building fire automatically analyzes, disappears
Anti-hidden danger gives warning in advance, automatic fire alarm confirms and alarm intelligent decision-making；
The video recognition algorithms improved is used automatically to carry out tier building Intelligent fire-fighting analysis, after output confirms according to monitoring image
Early warning information or warning message；
Early warning information or warning message after will confirm that are sent to remote monitoring center and carry out fire remote-monitoring early warning.
Further, described automatically carry out tier building Intelligent fire-fighting according to on-the-spot fire-fighting data acquisition Fusion method and divide
Analysis, the step for of exporting the early warning information after confirming or warning message, comprising:
The data of multiple sensor acquisition are carried out analog digital conversion, data prediction and feature extraction successively, obtains to be fused many
Individual sensor characteristic data；
Use adaptive weighted Fusion Estimation Algorithm that multiple sensor characteristic data to be fused are carried out fusion calculation, merged
After data；
Automatically tier building Intelligent fire-fighting analysis, the early warning information after output confirmation or warning message is carried out according to the data after merging.
Further, described automatically carry out tier building Intelligent fire-fighting analysis according to the data after merging, output confirm after early warning letter
The step for of breath or warning message, comprising:
Data after merging are carried out obfuscation division, obtains the data after Fuzzy processing；
Use fuzzy association rules data after Fuzzy processing and excavate Strong association rule, described in excavate associate by force rule
It is then:
According to the Strong association rule excavated, set up building confidence level Modulus Model, and obtain parameter optimization desired value；
Carrying out fire automatically extract according to building confidence level Modulus Model and parameter optimization desired value, output represents the alarm signal of fire
Cease or without fire information.
Further, the described video recognition algorithms improved according to monitoring image employing carries out tier building Intelligent fire-fighting analysis automatically,
The step for of exporting the early warning information after confirming or warning message, comprising:
Monitoring image carries out gray processing successively, medium filtering eliminates noise and image enhaucament, obtains enhanced image；
According to enhanced image use video recognition algorithms automatically carry out build fire alarm detection, output confirm after early warning information or
Warning message.
Further, described according to enhanced image use video recognition algorithms automatically carry out build fire alarm detection, output confirm after
Early warning information or include the step for warning message:
The method using two dimension inter-class variance multi-threshold segmentation carries out segmentation of feature regions to enhanced image；
The gray value of each pixel in image after segmentation is compared with the binary-state threshold of setting, if the ash of this pixel
Angle value is more than threshold value, then the gray value of this pixel is set to 255, otherwise, then the gray value of this pixel is set to 0, finally
Obtain bianry image；
From bianry image, extract the contours profiles of characteristic area, then calculate the area of characteristic area；
The region threshold of calculated characteristic area area with setting is compared, if calculated characteristic area area is big
In the region threshold set, then it is assumed that there occurs fire alarm in the scene of monitoring, the early warning information after now output confirms or alarm signal
Breath；Otherwise, then it is assumed that in building monitoring scene, fire alarm not occurring, now output represents normal information.
The platform of the present invention provides the benefit that: include sensor assembly, Video Monitoring Terminal, master station, auxiliary active station,
Internal network, field control terminal and remote monitoring center, simple in construction, low cost, it is easy to carry out popularization and application；Monitoring is main
Stand and can comprehensively use multi-data fusion method and video recognition algorithms automatically to carry out fire certainly according to on-the-spot fire-fighting data and monitoring image
Dynamic alarming determining, have employed mode that automatic alarm confirms to replace the mode of artificial alarming determining, and efficiency is high and rate of false alarm is low；
Master station can carry out hidden fire-fighting danger and give warning in advance, and just can carry out early warning in advance before building breaking out of fire, and intelligence degree is high.
The beneficial effects of the method for the present invention is: can be according to on-the-spot fire-fighting data acquisition Fusion method or according to monitoring
Image uses the video recognition algorithms improved automatically to carry out tier building Intelligent fire-fighting analysis automatically to carry out tier building Intelligent fire-fighting and divide
Analysis, tier building Intelligent fire-fighting analysis includes that automatic fire alarm confirms process, and the mode that have employed automatic alarm confirmation replaces
The mode of artificial alarming determining, efficiency is high and rate of false alarm is low；Tier building Intelligent fire-fighting analysis also includes that hidden fire-fighting danger gives warning in advance
Process, can carry out hidden fire-fighting danger and give warning in advance, and just can carry out early warning in advance before building breaking out of fire, and intelligence degree is high.
Accompanying drawing explanation
Fig. 1 is the overall structure figure of the present invention a kind of tier building fire remote-monitoring early warning platform；
Fig. 2 is the structured flowchart of field control terminal of the present invention；
Fig. 3 is the structured flowchart of master station of the present invention；
Fig. 4 is the structured flowchart of the auxiliary active station of the present invention；
Fig. 5 is the overall flow figure of the implementation method of the present invention a kind of tier building fire remote-monitoring early warning platform；
Fig. 6 is the structure diagram of the embodiment of the present invention one fire fighting monitoring early warning platform of internet of things；
Fig. 7 is the flow chart of Fusion of the present invention；
Fig. 8 is the process chart of video recognition algorithms of the present invention；
Fig. 9 is building fire automatic parsing algorithm overhaul flow chart of the present invention.
Reference: INTERNAT. internal network bus；1. master station；2. enterprises INTERNAT network；The most auxiliary
Active station；4. switch；5. field control terminal；6. pair spectral detector；INTERNET. the Internet；SERVER. server；
POWER 24VDC. system bus power supply；CLIENT. client；M-BUS. meter bus；POWER BUS. is on-the-spot
Device bus；D101 and D102. exports Warning Mark；T101, T102, T103, T104, T105 and T106. alarm button；
F101 and F102. fire-alarm.
Detailed description of the invention
With reference to Fig. 1, a kind of tier building fire remote-monitoring early warning platform, including:
Sensor assembly, for by the on-the-spot fire-fighting data of multiple sensor acquisition buildings, described on-the-spot fire-fighting data include
But it is not limited to fire signal, alarm signal, temperature signal, cigarette sense signal and building management demographic data；
Video Monitoring Terminal, for the fire-fighting scene by double spectral detectors monitoring building, obtains monitoring image；
Master station, for comprehensively using multi-data fusion method and video recognition algorithms according to on-the-spot fire-fighting data and monitoring image
Automatically tier building Intelligent fire-fighting analysis, the early warning information after output confirmation or warning message, described tier building fire-fighting intelligence are carried out
Can analyze and include but not limited to that building fire automatically analyzes, hidden fire-fighting danger gives warning in advance, automatic fire alarm confirms and alarm intelligent
Decision-making；
Auxiliary active station, for collecting and displaying scene fire-fighting data and monitoring image, the result of master station intellectual analysis and build
Build the management information of thing；
Field control terminal, for being uploaded to master station and auxiliary active station by scene fire-fighting data and monitoring image；
Remote monitoring center, for being connected with master station communication by the Internet, to carry out fire remote-monitoring early warning；
Described sensor acquisition module and Video Monitoring Terminal are all connected with field control terminal by fieldbus, described scene
Control terminal, master station, auxiliary active station and remote monitoring center to be all connected with internal network.
With reference to Fig. 1, being further used as preferred embodiment, described fieldbus includes POWER-BUS bus and M-BUS
Bus, described sensor assembly is connected with field control terminal by POWER-BUS bus, and described Video Monitoring Terminal passes through
M-BUS bus is connected with field control terminal, described POWER-BUS bus and M-BUS bus all have employed module level every
From structure.
With reference to Fig. 2, being further used as preferred embodiment, described field control terminal includes that communication verifies interface, micro-process
Device, field-bus interface, internal memory and power supply, described communication verification interface, EBI, internal memory and power supply are all and microprocessor
Connecting, described field-bus interface is also connected with fieldbus.
With reference to Fig. 3, being further used as preferred embodiment, described master station is provided with governor circuit, and described governor circuit leads to
Crossing INTERNAT network-bus and be connected with internal network, described governor circuit is by fire-fighting data fusion detector unit, video figure
As analytic unit, target to be monitored parameter setting unit, early warning monitoring unit, facility routing inspection unit, alert data statistic unit
With building geographical information management unit composition.
With reference to Fig. 4, being further used as preferred embodiment, described auxiliary active station is provided with building client, described building
Thing client is connected with internal network by INTERNAT network-bus, and described building client is inquired about by building information
Unit, display unit, service request and complaint unit and building management personnel Job Management Sheet unit composition.
With reference to Fig. 5, the implementation method of a kind of tier building fire remote-monitoring early warning platform, comprise the following steps:
By the on-the-spot fire-fighting data of multiple sensor acquisition buildings, described on-the-spot fire-fighting data include but not limited to fire signal,
Alarm signal, temperature signal, cigarette sense signal and building management demographic data；
By the fire-fighting scene of double spectral detectors monitoring building, obtain monitoring image；
Automatically carrying out tier building Intelligent fire-fighting analysis according to on-the-spot fire-fighting data acquisition Fusion method, output confirms
After early warning information or warning message, described tier building Intelligent fire-fighting analysis includes but not limited to that building fire automatically analyzes, disappears
Anti-hidden danger gives warning in advance, automatic fire alarm confirms and alarm intelligent decision-making；
The video recognition algorithms improved is used automatically to carry out tier building Intelligent fire-fighting analysis, after output confirms according to monitoring image
Early warning information or warning message；
Early warning information or warning message after will confirm that are sent to remote monitoring center and carry out fire remote-monitoring early warning.
It is further used as preferred embodiment, described automatically carries out according to on-the-spot fire-fighting data acquisition Fusion method
Tier building Intelligent fire-fighting is analyzed, the step for of exporting the early warning information after confirming or warning message, comprising:
The data of multiple sensor acquisition are carried out analog digital conversion, data prediction and feature extraction successively, obtains to be fused many
Individual sensor characteristic data；
Use adaptive weighted Fusion Estimation Algorithm that multiple sensor characteristic data to be fused are carried out fusion calculation, merged
After data；
Automatically tier building Intelligent fire-fighting analysis, the early warning information after output confirmation or warning message is carried out according to the data after merging.
Be further used as preferred embodiment, described according to merge after data automatically carry out tier building Intelligent fire-fighting analysis,
The step for of exporting the early warning information after confirming or warning message, comprising:
Data after merging are carried out obfuscation division, obtains the data after Fuzzy processing；
Use fuzzy association rules data after Fuzzy processing and excavate Strong association rule, described in excavate associate by force rule
It is then:
According to the Strong association rule excavated, set up building confidence level Modulus Model, and obtain parameter optimization desired value；
Carrying out fire automatically extract according to building confidence level Modulus Model and parameter optimization desired value, output represents the alarm signal of fire
Cease or without fire information.
Being further used as preferred embodiment, the described video recognition algorithms improved according to monitoring image employing carries out multilamellar automatically
Structural fire protection intellectual analysis, the step for of exporting the early warning information after confirming or warning message, comprising:
Monitoring image carries out gray processing successively, medium filtering eliminates noise and image enhaucament, obtains enhanced image；
According to enhanced image use video recognition algorithms automatically carry out build fire alarm detection, output confirm after early warning information or
Warning message.
Be further used as preferred embodiment, described according to enhanced image use video recognition algorithms automatically carry out building fire
Alert detection, includes the step for of exporting the early warning information after confirming or warning message:
The method using two dimension inter-class variance multi-threshold segmentation carries out segmentation of feature regions to enhanced image；
The gray value of each pixel in image after segmentation is compared with the binary-state threshold of setting, if the ash of this pixel
Angle value is more than threshold value, then the gray value of this pixel is set to 255, otherwise, then the gray value of this pixel is set to 0, finally
Obtain bianry image；
From bianry image, extract the contours profiles of characteristic area, then calculate the area of characteristic area；
The region threshold of calculated characteristic area area with setting is compared, if calculated characteristic area area is big
In the region threshold set, then it is assumed that there occurs fire alarm in the scene of monitoring, the early warning information after now output confirms or alarm signal
Breath；Otherwise, then it is assumed that in building monitoring scene, fire alarm not occurring, now output represents normal information.
It is further explained as the present invention below in conjunction with Figure of description and specific embodiment and illustrates.
Embodiment one
Difficult, inefficient for existing fire-fighting automatic alarm long distance control system popularization and application, rate of false alarm is high and intelligence degree
Low problem, the present invention proposes a kind of brand-new tier building fire remote-monitoring early warning platform.The tier building of the present invention disappears
Anti-long-range monitoring and early warning platform have employed the design concept of advanced person and brand-new system architecture, with multi-layer management, distributed deployment,
Centralized stores management is main feature, emphasizes with monitoring as core, builds top-down integration urban fire control monitoring and early warning pipe
Reason system, by monitoring the construction situation of important building thing, equipment operation, the real-time of Material control, reduces the fire of building
Calamity incidence rate, it is achieved the modernization of structural fire protection process management.This early warning platform intergration optical imaging system, fire monitoring pass
Sense equipment, video service system, monitoring host computer etc., can export the field video signal of two-way light source simultaneously, have visible ray and
The function of infrared scene process detection, and can be analyzed according to structural fire protection confidence level Modulus Model, automatically analyze early warning,
It is effectively increased system effectiveness.
As shown in Figure 6, the tier building fire remote-monitoring early warning platform of the present invention uses total digitalization network structure, improves
The capacity of resisting disturbance of whole system；This platform is multilamellar bus structures, and upper strata, will for using INTRANET enterprise network bus
Master station and auxiliary active station couple together with field control terminal.Each field control terminal and spot sensor and alarm button
Deng equipment, POWER-BUS bus is utilized to link together；Or field control terminal and double detecing utilize between detector
M-BUS bus links together, and every circuit can support 250 on-the-spot buttons, and communication speed can reach 9600BPS.
Each field control terminal can connect 8 road fieldbus, every fieldbus at most can mount 256 on-the-spot inductive probes or
Sensor.And POWER-BUS bus uses 2 cables, arbitrary topological structure can be supported, simultaneously these two bus supports
Nonpolarity wiring, support RVS RVV BV line, there is excellent cable compatible, can design short according to bus and industry characteristic
The automatic protection on road, and point out short circuit and automatic recovery of power supply and communication after fault removes.The data of whole system of the present invention
Communication uses the mode of CRC16 and CRC8 to carry out error checking and correction, to ensure that platform can reliability service in the presence of a harsh environment.
As it is shown in figure 1, the tier building fire remote-monitoring early warning platform of the present invention mainly includes sensor assembly, video monitoring
Terminal, field control terminal, internal network, master station, auxiliary active station, field control terminal and remote monitoring center.
Wherein, sensor assembly and Video Monitoring Terminal are arranged on building fire management and control, field management, live video, fire-fighting
The collecting locations such as parameter, collection site fire-fighting data and monitoring image.Video Monitoring Terminal have employed infrared narrow visual field camera lens+
Visible-light CCD camera lens monitors the compound mode of a scene simultaneously, its benefit be infrared narrow visual field lens focus be 50mm,
Circumstances in the range of can monitoring far；And Visible-light CCD camera lens is 30 times of optics all-in-ones, it is simple to magnified picture, furthers and see
Examine.This compound mode can improve monitoring area and the monitoring range of Video Monitoring Terminal to greatest extent.
Master station on the one hand gathers the on-the-spot data of building according to sensor assembly and Video Monitoring Terminal and image enters automatically
Row tier building Intelligent fire-fighting is analyzed, and is on the other hand accessed by various ways such as GPRS/CDMA, ADSL, VPN, E1
Fieldbus private network, the building's fire information analyzed the most at last is uploaded to remote monitoring center.
Field control terminal, couples together sensor assembly and Video Monitoring Terminal with fieldbus private network, to be disappeared at scene
Anti-data and monitoring image are uploaded to master station and auxiliary active station.Field control terminal mainly completes being distributed in cable duct
Temperature point and sense cigarette probe is acquired, automatic Verification and fault detect, and result is published to platform by module bus
In each main master station or auxiliary active station be further analyzed process.The fieldbus of field control terminal has 35KVEDS
Protection and protection against lightning strikes etc. are completely suitable for the safeguard procedures that field is installed, and have advanced fault-tolerant ability, though on-the-spot total
Line short circuit does not interferes with the normal work of field control terminal yet.Additionally, field control terminal additionally uses power supply, ACESS mould
Block bus and the mode of the triple isolation of fieldbus, its isolation voltage reaches 3500V, relatively reliable.
Auxiliary active station, mainly collects and shows data or the data of Video Monitoring Terminal of the multiple sensor acquisition of sensor assembly,
And building management personnel can be managed (as managed work attendance situation, the in shifts arrangement on duty etc. of building management personnel).
Remote monitoring center, is connected with master station and auxiliary active station communication by the Internet, has following functions: a. and receives
The building information of on-line customer；B. the early warning information that can will confirm that transmits to urban fire control control center or other centers；
C. can be for the building management department inquiry structural fire protection information of on-line customer, running status and project safe construction information；d.
The fire information of this project, installations and facilities running status and project safe construction information can be inquired about for on-line customer.
As in figure 2 it is shown, field control terminal is mainly verified interface, microprocessor, field-bus interface, internal memory and electricity by communication
Source forms.Wherein, microprocessor can be further subdivided into lower unit according to Fig. 3:
1) fire-fighting data fusion detector unit
The on-the-spot fire-fighting data of system acquisition are preserved in systems by fire-fighting data fusion detector unit, carry out fire-fighting data simultaneously and melt
Close detection, by the target data that multiple sensor acquisition are relevant to building.
2) video image analysis unit
Poor definition due to infrared thermography imaging, it is understood that there may be wrong report to a certain extent, therefore the present invention introduces again
Video image analysis unit, static nature (such as color) and two features of morphological characteristic (such as glitter) by detection video image enter
Row detection is analyzed: extract the region similar to vedio color from video image first with static nature, recycles morphological characteristic
The region extracted above is detected, by video image analysis algorithm, detects image, and produce corresponding warning
Signal.
3) target to be monitored parameter setting unit
The monitored distance of data gathered due to early warning platform and the impact of working environment, and the environmental field of detected target is the most each
Differing, so in order to reach preferable warning effect, the present invention can be monitored mesh according to the specifically used environment set of user
Mark parameter.
4) early warning monitoring unit
Early warning monitoring unit, is mainly used in monitoring in real time the structural fire protection situation of the key area linking remote monitoring center, and warp
The early warning that will confirm that timely and accurately after master station intellectual analysis or warning message are sent to remote monitoring center, improve fire-fighting pre-
Alert promptness, reliability and accuracy.
5) facility routing inspection unit
Facility routing inspection unit, is mainly used in the running status of building custom system and other Architectural Equipments patrolling and examining networking in real time,
Discovering device operation troubles in time, confirms fault type and malfunction, notifies that on-line customer's on-call maintenance maintains, and improves fire-fighting
The serviceability rate of facility and operation ratio.
6) alert data statistic unit
Alert data statistic unit, is mainly used in master station and fire-fighting data monthly carries out statistics and analysis, makes bulletin for each
Level managerial decision, to provide information support.
7) building geographical information management unit
Building geography information is managed by building geographical information management unit, and builds geography information and mainly include city figure, connection
The structural fire protection floor plan of net unit.After remote monitoring center receives the implementation information of construction project, automatically on map
The particular location of the sensor place floor reported to the police in networking unit position, location and sensor assembly.
Embodiment two
The present embodiment to the operation principle of the present invention, realize process and involved correlation theory is described in detail.
(1) operation principle of the present invention and realize process.
The implementation method of the present invention a kind of tier building fire remote-monitoring early warning platform comprises the following steps:
By the on-the-spot fire-fighting data of multiple sensor acquisition buildings, described on-the-spot fire-fighting data include but not limited to fire signal,
Alarm signal, temperature signal, cigarette sense signal and building management demographic data；
By the fire-fighting scene of double spectral detectors monitoring building, obtain monitoring image；
Automatically carrying out tier building Intelligent fire-fighting analysis according to on-the-spot fire-fighting data acquisition Fusion method, output confirms
After early warning information or warning message, described tier building Intelligent fire-fighting analysis includes but not limited to that building fire automatically analyzes, disappears
Anti-hidden danger gives warning in advance, automatic fire alarm confirms and alarm intelligent decision-making；
The video recognition algorithms improved is used automatically to carry out tier building Intelligent fire-fighting analysis, after output confirms according to monitoring image
Early warning information or warning message；
Early warning information or warning message after will confirm that are sent to remote monitoring center and carry out fire remote-monitoring early warning.
(2) correlation theory.
The fire remote-monitoring early warning platform of the present invention relates to following correlation technique during realizing:
(1) multisensor Data Fusion technology.
Multisensor Data Fusion technology is the software and hardware measure taked during detection transform data for multisensor.Firmly
Part interface chip aspect, the present invention controls to have employed in terminal FPGA at the scene so that sensor interface circuitry has more
Adaptability, meets the sensor requirements such as fire, cigarette sense, warning；Then have employed adaptive in terms of software algorithm at master station
Answer weighting fusion estimate algorithm, utilize measurement data to calculate the numerical value of detection data.The data fusion method of the present invention have employed through
The adaptive weighted Fusion Estimation Algorithm of allusion quotation, is not required to know any priori of sensor measurement data, only by sensor institute
The measurement data provided just can draw the data fusion value that mean square error is minimum.
Fusion divides three kinds of hierarchical structures, i.e. data Layer, characteristic layer, Decision-level fusion.Be typically chosen is multiple
Sensor is heterogeneous (what i.e. it was observed is not same physical quantity), and data can only be at characteristic layer or Decision-level fusion.Many
Sensing system data fusion process is as shown in Figure 7.Having the non electrical quantity of different characteristic owing to measurand mostly is, the present invention is first
First by sensor, they being converted into the signal of telecommunication, being then passed through A/D conversion, become by on-site parameters can be by microprocessor processes
Digital quantity.The signal of telecommunication after digitized through data prediction, with the interference filtered in data acquisition under site environment and
Noise.Echo signal after treatment carries out feature extraction, carries out data fusion further according to the characteristic signal extracted, and terminates most
Close fire forecast model and fuzzy inference system output result.
The multiple sensor integrated method of the present invention has the advantage that (1) improves reliability and the robustness of plateform system；(2) expand
Open up observation scope temporally and spatially；(3) trust degree of data and the resolution capability of system are enhanced.
(2) video recognition algorithms technology.
Infrared image-forming principle carrys out imaging by temperature difference, as long as testee has the temperature difference of 0.06-0.08 degree, infra-red heat becomes
As video identification technology so long be distinguished it and intuitively be shown by imaging, this characteristic just meets fire-fighting fire-proof monitoring
Need to observe the fine temperature change demand of building.It addition, use infrared thermal imaging video identification technology can really realize entirely
Weather monitors, and particularly night, its observation effect was even better as daytime.Furthermore, infrared thermal imaging video identification technology is same
Sample can realize the warning of CCD monitoring, transmission (network or be wirelessly transferred), and finds the monitoring than other of the fire alarm time
Means are the most a lot of, and (infrared thermal imagery monitoring just can be found in time when building also burns on ground, it is not necessary to naked eyes are seen again
Report to the police, because produced heat when building also burns on ground, it is sufficient to change the temperature equilibrium of the interior top of building,
Such variations in temperature is that infrared thermal imaging video identification is caned and immediately found and report to the police.Additionally, in the weather having mist,
Infrared thermal imaging video identification can penetrate thick fog, blur-free imaging.This advantage is the most prominent, especially more than common CCD monitoring
It is applicable to territory, the No Fire Area monitoring of building.
Therefore, infrared thermal imaging video identification technology applies to the best-of-breed technology scheme of building fire alarm monitoring in early days.
As shown in Figure 8, video recognition algorithms of the present invention mainly includes procedure below:
1) sequence of video images is gathered: utilize infrared narrow visual field camera lens+Visible-light CCD two class camera lens, monitoring one simultaneously to disappear
The compound mode of anti-scene, reads in the internal memory of platform by the video image of camera acquisition.
2) Image semantic classification: mainly complete the gray processing to this input picture of sequence of video images, medium filtering eliminate noise,
Image enhancement operation.
3) fire-fighting fire alarm detection.
Fire-fighting fire alarm detects and farther includes procedure below:
A uses the method for two dimension inter-class variance multi-threshold segmentation will split pretreated characteristics of image, extracts feature
Region.
Setting threshold value when the gray value of each pixel and binaryzation in gray level image is compared by b.
C through threshold ratio relatively after, if the gray value of pixel more than threshold value, is then set to 255, instead by the gray value of this pixel
It, then be set to 0 by the gray value of pixel, thus obtains bianry image.
D extracts the contours profiles of characteristic area according to bianry image, and calculates the area of characteristic area.
The region threshold that calculated characteristic area and detecting system set (is judged to the minimum 0.06-0.08 degree of fire alarm by e
Temperature difference) compare, if more than the threshold value of default, being then considered as fire alarm, otherwise, will be regarded as normal.
3) building confidence level model.
The present invention establishes building confidence level Modulus Model according to the fire-fighting requirements of building, and enters according to building confidence level Modulus Model
Row is analyzed, and automatically provides warning message, is effectively increased the accuracy rate of warning.
4) structural fire protection automatic analysis technology
The fire-fighting analysis of key unit's fire condition and the intelligent decision of warning are the cores of the present invention, and structural fire protection fire is certainly
Dynamic analysis method can realize timely reliable treatments automatic fire alarm information, to reduce the hidden danger of artificial treatment mode and may be able to make
The loss become.The step of the structural fire protection fire automatic parsing algorithm of the present invention is as follows:
(1) fire-fighting on-site data gathering.The main affecting parameters of its main collection site structural fire protection equipment: fire signal, report
Alert signal, temperature signal, cigarette sense signal etc..
(2) data obfuscation processes.After being collected fire-fighting field data under steady state operating conditions, then these data are carried out obfuscation
Divide, prepare for next step fuzzy association rules.
(3) Strong association rule is excavated.This process has used fuzzy association rules to excavate, and can excavate and associate by force rule accordingly
Then.The Strong association rule that this process is excavated is:
(4) parameter optimization desired value is obtained.Building confidence level model according to the Strong association rule obtained and foundation, can build
The interval of the parameter objectives value of thing fire, then finds out multiple factor with the complex relationship of fire, finally realize fire automatically point
Analysis.
As it is shown in figure 9, the building fire automatic parsing algorithm of the present invention, it be mainly concerned with data acquisition, data filtering,
The processes such as data obfuscation process, Mining Association Rules, parameter optimization target, fire automatically extract.
It is above the preferably enforcement of the present invention is illustrated, but the invention is not limited to described embodiment, is familiar with
Those skilled in the art also can make all equivalent variations or replacement on the premise of spirit of the present invention, these etc.
Same deformation or replacement are all contained in the application claim limited range.
Claims (10)
1. a tier building fire remote-monitoring early warning platform, it is characterised in that: including:
Sensor acquisition module, for by the on-the-spot fire-fighting data of multiple sensor acquisition buildings, described scene fire-fighting data
Include but not limited to fire signal, alarm signal, temperature signal, cigarette sense signal and building management demographic data；
Video Monitoring Terminal, for the fire-fighting scene by double spectral detectors monitoring building, obtains monitoring image；
Master station, for comprehensively using multi-data fusion method and video recognition algorithms according to on-the-spot fire-fighting data and monitoring image
Automatically tier building Intelligent fire-fighting analysis, the early warning information after output confirmation or warning message, described tier building fire-fighting intelligence are carried out
Can analyze and include but not limited to that building fire automatically analyzes, hidden fire-fighting danger gives warning in advance, automatic fire alarm confirms and alarm intelligent
Decision-making；
Auxiliary active station, for collecting and displaying scene fire-fighting data and monitoring image, the result of master station intellectual analysis and build
Build the management information of thing；
Field control terminal, for being uploaded to master station and auxiliary active station by scene fire-fighting data and monitoring image；
Internal network, for realizing the interconnection communication of field control terminal, master station, auxiliary active station and remote monitoring center；
Remote monitoring center, for being connected with master station communication by the Internet, to carry out fire remote-monitoring early warning；
Described sensor acquisition module and Video Monitoring Terminal are all connected with field control terminal by fieldbus, described scene
Control terminal, master station, auxiliary active station and remote monitoring center to be all connected with internal network.
A kind of tier building fire remote-monitoring early warning platform the most according to claim 1, it is characterised in that: described scene is total
Line includes POWER-BUS bus and M-BUS bus, and described sensor assembly is by POWER-BUS bus and on-the-spot control
Terminal processed connects, and described Video Monitoring Terminal is connected with field control terminal by M-BUS bus, described POWER-BUS
Bus and M-BUS bus all have employed module level isolation structure.
A kind of tier building fire remote-monitoring early warning platform the most according to claim 1, it is characterised in that: described on-the-spot control
Terminal processed includes communication verification interface, microprocessor, field-bus interface, internal memory and power supply, described communication verification interface, total
Line interface, internal memory and power supply are all connected with microprocessor, and described field-bus interface is also connected with fieldbus.
A kind of tier building fire remote-monitoring early warning platform the most according to claim 1, it is characterised in that: described monitoring is main
Station is provided with governor circuit, and described governor circuit is connected with internal network, described governor circuit by INTERNAT network-bus
By fire-fighting data fusion detector unit, video image analysis unit, target to be monitored parameter setting unit, early warning monitoring unit,
Facility routing inspection unit, alert data statistic unit and building geographical information management unit composition.
5. according to a kind of tier building fire remote-monitoring early warning platform described in any one of claim 1-4, it is characterised in that: described
Auxiliary active station is provided with building client, and described building client is by INTERNAT network-bus with internal network even
Connecing, described building client is by building information query unit, display unit, service request and complaint unit and building
Management personnel Job Management Sheet unit composition.
6. the implementation method of a tier building fire remote-monitoring early warning platform, it is characterised in that: comprise the following steps:
By the on-the-spot fire-fighting data of multiple sensor acquisition buildings, described on-the-spot fire-fighting data include but not limited to fire signal,
Alarm signal, temperature signal, cigarette sense signal and building management demographic data；
By the fire-fighting scene of double spectral detectors monitoring building, obtain monitoring image；
Automatically carrying out tier building Intelligent fire-fighting analysis according to on-the-spot fire-fighting data acquisition Fusion method, output confirms
After early warning information or warning message, described tier building Intelligent fire-fighting analysis includes but not limited to that building fire automatically analyzes, disappears
Anti-hidden danger gives warning in advance, automatic fire alarm confirms and alarm intelligent decision-making；
The video recognition algorithms improved is used automatically to carry out tier building Intelligent fire-fighting analysis, after output confirms according to monitoring image
Early warning information or warning message；
Early warning information or warning message after will confirm that are sent to remote monitoring center and carry out fire remote-monitoring early warning.
The implementation method of a kind of tier building fire remote-monitoring early warning platform the most according to claim 6, it is characterised in that:
Described automatically carrying out tier building Intelligent fire-fighting analysis according to on-the-spot fire-fighting data acquisition Fusion method, output confirms
After early warning information or the step for warning message, comprising:
The data of multiple sensor acquisition are carried out analog digital conversion, data prediction and feature extraction successively, obtains to be fused many
Individual sensor characteristic data；
Use adaptive weighted Fusion Estimation Algorithm that multiple sensor characteristic data to be fused are carried out fusion calculation, merged
After data；
Automatically tier building Intelligent fire-fighting analysis, the early warning information after output confirmation or warning message is carried out according to the data after merging.
The implementation method of a kind of tier building fire remote-monitoring early warning platform the most according to claim 7, it is characterised in that:
Described automatically carry out tier building Intelligent fire-fighting analysis according to the data after merging, output confirm after early warning information or warning message
The step for, comprising:
Data after merging are carried out obfuscation division, obtains the data after Fuzzy processing；
Use fuzzy association rules data after Fuzzy processing and excavate Strong association rule, described in excavate associate by force rule
It is then:
According to the Strong association rule excavated, set up building confidence level Modulus Model, and obtain parameter optimization desired value；
Carrying out fire automatically extract according to building confidence level Modulus Model and parameter optimization desired value, output represents the alarm signal of fire
Cease or without fire information.
The implementation method of a kind of tier building fire remote-monitoring early warning platform the most according to claim 6, it is characterised in that:
The described video recognition algorithms improved according to monitoring image employing carries out tier building Intelligent fire-fighting analysis, after output confirms automatically
The step for of early warning information or warning message, comprising:
Monitoring image carries out gray processing successively, medium filtering eliminates noise and image enhaucament, obtains enhanced image；
According to enhanced image use video recognition algorithms automatically carry out build fire alarm detection, output confirm after early warning information or
Warning message.
The implementation method of a kind of tier building fire remote-monitoring early warning platform the most according to claim 9, it is characterised in that:
Described according to enhanced image use video recognition algorithms automatically carry out build fire alarm detection, output confirm after early warning information or
Include the step for of warning message:
The method using two dimension inter-class variance multi-threshold segmentation carries out segmentation of feature regions to enhanced image；
The gray value of each pixel in image after segmentation is compared with the binary-state threshold of setting, if the ash of this pixel
Angle value is more than threshold value, then the gray value of this pixel is set to 255, otherwise, then the gray value of this pixel is set to 0, finally
Obtain bianry image；
From bianry image, extract the contours profiles of characteristic area, then calculate the area of characteristic area；
The region threshold of calculated characteristic area area with setting is compared, if calculated characteristic area area is big
In the region threshold set, then it is assumed that there occurs fire alarm in the scene of monitoring, the early warning information after now output confirms or alarm signal
Breath；Otherwise, then it is assumed that in building monitoring scene, fire alarm not occurring, now output represents normal information.
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Application publication date: 20160907 |