CN202838579U - Fire disaster fire source position and intensity estimating system - Google Patents
Fire disaster fire source position and intensity estimating system Download PDFInfo
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Abstract
The utility model provides a fire disaster fire source position and intensity estimating system. The fire disaster fire source position and intensity estimating system comprises multiple sets of estimating devices, wherein each estimating device set is respectively arranged in a sub-area of a region of a building structure, the estimating device comprises multiple monitoring devices and calculation storage devices, the monitoring device is used for detecting environmental parameters and acquiring fire disaster monitoring information, and the calculation storage devices is used for recording static structure information and dynamic structure information, simulating and predicting fire disaster simulation information, carrying out communication with the adjacent calculation storage devices and carrying out partial estimating of the fire source position and intensity in a paired sub-areas of a present area and the adjacent area. The calculation devices of the multiple sub-areas form a distributed network to share the fire disaster monitoring information, the static structure information and the dynamic structure information and cooperatively process full-scale estimation values of the fire source position and intensity. By employing the distributed control structure, calculation efficiency, robustness and expansion capability of the fire source position and intensity estimating system are improved.
Description
Technical field
The utility model relates to building safety and ensures field, particularly a kind of fire fire location and intensity estimating system.
Background technology
Building fire all is one of important disaster of serious threat people life, property all the time.The labyrinth of modern architecture is so that fire has disguise, the characteristics such as sudden, for evacuating and fire-fighting brings certain difficulty.Therefore perception burning things which may cause a fire disaster information has important realistic meaning to carrying out of fire disaster emergency rescue as early as possible.Traditional fire hazard monitoring system relies on merely the detection system in the buildings, just triggers alarm of fire in case the physical values of surveying surpasses threshold value.There is numerous drawbacks in this fire hazard monitoring system that only can output alarm signal, demands urgently improving.If utilize relevant sensing technology, fire spread model can be when fire occurs promptly and accurately the intensity that provides fire location, burning things which may cause a fire disaster and the speed of development and in the process of fire development according to sensing data, state (fire location, intensity etc.) to fire upgrades timely, will greatly improve the efficient of the emergency responses such as escape, fire extinguishing.In the prior art, adopt fire Situation Assessment and evacuation support method based on the burning things which may cause a fire disaster estimated information.
But, utilize detection information that fire location, particularly intensity are estimated, and its state carried out also there is not ripe solution on the real-time update.Below be several existing fire detection, burning things which may cause a fire disaster estimation technique:
(1) the burning things which may cause a fire disaster reverse calculation algorithms that drives of a kind of sensor utilizes the measured temperature of ceiling diverse location, by the analytical relation of anti-solution ceiling jet temperature and fire location intensity fire location and intensity is estimated.Yet because this analytic relationship is in convection current with transport in stronger many Room in Fire larger error is arranged, the method is mainly used in single Room in Fire.Under many Room in Fire situation, need to estimate burning things which may cause a fire disaster intensity based on known fire location.
With optimization method many Room in Fire burning things which may cause a fire disaster is estimated that (2) measured value by making detector reaches optimum matching with the analogue value of fire spread model and obtains optimum fire location and the estimated value of intensity.Yet optimization method only can provide an optimum solution, and certain regional situation that people are concerned about in the reality can not be provided.In addition, optimization method can't directly be considered detector measurement error and fire model error usually, needs to adopt the perturbation motion method simulation repeatedly, and efficient is not high.
(3) a kind of burning things which may cause a fire disaster inversion method based on bayesian theory and Monte Carlo sampling, the method consideration detecting error and simulation error are estimated simultaneously fire location and intensity, and are provided corresponding probability distribution.Yet this burning things which may cause a fire disaster method of estimation is based on centralized configuration, and all the sensors information all will be transferred on the central controller and process.Simultaneously, the fire model of using in the method is equally based on whole building structure.Inevitably increase the quantity of information of transmission, processing when this centralized configuration is applied in the heavy construction, increased the size of fire model, thereby improved algorithm complex, reduced counting yield.Simultaneously, the anti-disaster ability of centralized configuration is relatively poor, in case the central controller system of breaking down can't work.In addition, the method fails to consider that the dynamic change of ventilation state on the impact of fire model analog result, has increased the uncertainty of analog result.
(4) by utilizing the ZIgbee array that fire is monitored, the fire fire location that is implemented in the single zone is estimated, but the method can not position fire in whole building scope, simultaneously because the method is not used corresponding fire model, can not estimate fire intensity, fire development situation etc., and only can provide by sensor information the description of temperature field, smog field.
(5) analogue value that generates by measured value and disaster Spread Model in conjunction with detector, and use the EKF method that spreading in real time of disaster such as fire, flue gas, chemical substance in a certain zone estimated.The method can realize in centralized or distributed system, can export fire, flue gas is current or the estimation of following distribution, can also estimate the burning things which may cause a fire disaster state that comprises fire location and intensity in some cases.Yet because higher-dimension, the nonlinearity of fire model and dynamic perfromance and the uncertainty of building structure of state space, the application extension kalman filter method exists some difficulties in conflagration smoking of constructions state estimation problem.
Therefore, a kind of new distributed fire location, intensity method of estimation based on part deduction and overall Probabilistic Synthesis will be suggested, the method has lower complexity in configuration and calculating, can process dynamic building structure information with a kind of reliable method simultaneously.
Summary of the invention
The purpose of this utility model is intended to solve at least one of above-mentioned technological deficiency.
For this reason, the purpose of this utility model is to propose a kind of fire fire location and intensity estimating system, improves counting yield, robustness and the expandability of fire location and intensity estimating system, and makes fire model can reflect actual ventilation state.
For achieving the above object, the utility model proposes a kind of fire fire location and intensity estimating system, comprise: organize estimating apparatus more, wherein, every group of estimating apparatus is separately positioned in the subregion of building structure region, wherein, every group of estimating apparatus comprises: a plurality of monitoring devices, wherein, described a plurality of monitoring devices are separately positioned on a plurality of positions in the described subregion, and a plurality of environmental parameters in the subregion under each monitoring device detects respectively are to obtain fire monitoring information; Calculate memory storage, described calculating memory storage links to each other with described a plurality of monitoring devices respectively, static structure information and the dynamic structure information of subregion under the record, and communicate to share the fire monitoring information of local area with the described calculating memory storage of corresponding adjacent area, static structure information and dynamic structure information, predict fire disaster simulation information under the different burning things which may cause a fire disaster intensity according to described static structure information and described dynamic structure information simulation, and according to described fire disaster simulation information and described fire monitoring information local area is carried out partial estimation with the fire location that becomes opposite divided intervals and intensity that described adjacent area consists of, to generate the partial estimation value.Wherein, the described calculating set of storage devices of described a plurality of subregions becomes distributed network, each described calculating memory storage communicates to share fire monitoring information, static structure information and the dynamic structure information of local area with the described calculating memory storage of corresponding adjacent area, and a plurality of described partial estimation values of described calculating memory storage associated treatment of described a plurality of subregions are with the fire location that obtains described building structure region and the overall estimated value of intensity.
Fire fire location and intensity estimating system according to the utility model embodiment, by adopting distributed control structure, take full advantage of the technology such as modern sensing, communication, calculating, decision-making, for the estimation of building interior fire location and intensity provides practicable solution, improved counting yield, robustness and the expandability of fire location and intensity estimating system.The fire location that the utility model obtains and strength information can be used for setting up fire model, can carry out simulation and forecast to the spreading trend of fire in following a period of time, for fire-fighting and evacuation provide prospective guidance and help.The utility model not only estimates to have vital role to building fire fire location, intensity, also can be used to fire location and the intensity of estimating that the exterior space is static or mobile.
In an embodiment of the present utility model, described a plurality of monitoring devices comprise: temperature sensor, sense smoke sensor, gas sensor, image-type fire detector.
In an embodiment of the present utility model, described static structure information comprises: the layout of described subregion and size; Described dynamic structure information comprises: the door in the described subregion and/or on off state and the aperture area of window.
In an embodiment of the present utility model, described calculating memory storage carries out partial estimation to possibility and intensity that fire occurs in this described subregion, comprise: described calculating memory storage compares described fire disaster simulation information and described fire monitoring information, calculates described local area and the fire location of corresponding adjacent area and the relative probability ratio of intensity.
In an embodiment of the present utility model, described calculating memory storage adopts the nonlinear estimation algorithm to calculate described local area and the fire location of corresponding adjacent area and the relative probability ratio of intensity.
In an embodiment of the present utility model, described calculating memory storage obtains the fire location of described building structure region and the overall estimated value of intensity, comprise the steps: that described calculating memory storage obtains fire location probability variable and the intensive probable variable of described each subregion according to the relative probability ratio of the fire location of the local area of each subregion and corresponding adjacent area and intensity, and carry out iterative according to the system of linear equations that described fire location probability variable and intensive probable variable consist of and obtain described overall estimated value.
In an embodiment of the present utility model, described calculating memory storage obtains the fire location of described building structure region and the overall estimated value of intensity, comprise the steps: that described calculating memory storage obtains fire location probability variable and the intensive probable variable of described each subregion according to the relative probability ratio of the fire location of the local area of each subregion and corresponding adjacent area and intensity, and adopt the algorithm of spanning tree Network Based to find the solution to the system of linear equations that described fire location probability variable and intensive probable variable consist of to obtain described overall estimated value.
The aspect that the utility model is additional and advantage in the following description part provide, and part will become obviously from the following description, or recognize by practice of the present utility model.
Description of drawings
Above-mentioned and/or the additional aspect of the utility model and advantage are from obviously and easily understanding becoming the description of embodiment below in conjunction with accompanying drawing, wherein:
Fig. 1 is the fire fire location of the utility model embodiment and the synoptic diagram of intensity estimating system;
Fig. 2 is the fire fire location of an embodiment of the utility model and the overall estimated value solution procedure synoptic diagram that intensity is estimated;
Fig. 3 is the operational flow diagram of fire fire location and the intensity estimating system of the utility model embodiment; And
Fig. 4 is fire fire location and the schematic layout pattern of intensity estimating system in building structure of an embodiment of the utility model.
Embodiment
The below describes embodiment of the present utility model in detail, and the example of described embodiment is shown in the drawings, and wherein identical or similar label represents identical or similar element or the element with identical or similar functions from start to finish.Be exemplary below by the embodiment that is described with reference to the drawings, only be used for explaining the utility model, and can not be interpreted as restriction of the present utility model.
Disclosing hereinafter provides many different embodiment or example to be used for realizing different structure of the present utility model.Of the present utility model open in order to simplify, hereinafter parts and the setting of specific examples are described.Certainly, they only are example, and purpose does not lie in restriction the utility model.In addition, the utility model can be in different examples repeat reference numerals and/or letter.This repetition is in order to simplify and purpose clearly, itself not indicate the relation between the various embodiment that discuss of institute and/or the setting.In addition, the various specific technique that the utility model provides and the example of material, but those of ordinary skills can recognize the property of can be applicable to of other techniques and/or the use of other materials.In addition, First Characteristic described below Second Characteristic it " on " structure can comprise that the first and second Characteristics creations are the direct embodiment of contact, also can comprise the embodiment of other Characteristics creation between the first and second features, such the first and second features may not be direct contacts.
In description of the present utility model, need to prove, unless otherwise prescribed and limit, term " installation ", " linking to each other ", " connection " should be done broad understanding, for example, can be mechanical connection or electrical connection, also can be the connection of two element internals, can be directly to link to each other, and also can indirectly link to each other by intermediary, for the ordinary skill in the art, can understand as the case may be the concrete meaning of above-mentioned term.
With reference to following description and accompanying drawing, with these and other aspects of clear embodiment of the present utility model.In these descriptions and accompanying drawing, specifically disclose some particular implementation among the embodiment of the present utility model, represent to implement some modes of the principle of embodiment of the present utility model, but should be appreciated that the scope of embodiment of the present utility model is not limited.On the contrary, embodiment of the present utility model comprises spirit and interior all changes, modification and the equivalent of intension scope that falls into additional claims.
As shown in Figure 1, fire fire location and intensity estimating system according to embodiment of the present utility model, comprise: organize estimating apparatus 100 more, wherein, the building structure region is divided into a plurality of subregions, every group of estimating apparatus 100 is separately positioned in the subregion of division, wherein, every group of estimating apparatus 100 comprises: a plurality of monitoring devices 101, wherein, a plurality of monitoring devices 101 are separately positioned on a plurality of positions in the described subregion, and a plurality of environmental parameters in the subregion under each monitoring device 101 detects respectively are to obtain fire monitoring information; Calculate memory storage 102, calculating memory storage 102 links to each other with a plurality of monitoring devices 101 respectively, static structure information and the dynamic structure information of subregion under the record, calculate memory storage 102 and the calculating memory storage 102 of corresponding adjacent area and communicate fire monitoring information with shared local area, static structure information and dynamic structure information, and predict fire disaster simulation information under the different burning things which may cause a fire disaster intensity according to static structure information and dynamic structure information simulation, and according to fire disaster simulation information and fire monitoring information local area is carried out partial estimation with the fire location that becomes opposite divided intervals and intensity that the adjacent area consists of, to generate the partial estimation value.Wherein, the calculating memory storage 102 of a plurality of subregions forms distributed network, each calculates memory storage 102 and the calculating memory storage 102 of corresponding adjacent area and communicates fire monitoring information, static structure information and dynamic structure information with shared local area, and a plurality of partial estimation values of calculating memory storage 102 associated treatment of a plurality of subregions are with the fire location of acquisition building structure region and the overall estimated value of intensity.
Existing fire location, intensity method of estimation depend on a central controller mostly, and all metrical informations all will be transferred on it and process, low, the poor anti jamming capability of this control method efficient; And the utility model proposes a kind of distributed control structure, not re-using a central controller calculates and transmits, but building is divided into several subregions, each subregion is furnished with a calculating memory storage and is connected with the sensor monitoring device of local area and is responsible for collection and the processing of data.These calculate memory storage and have same structure at hardware and software, but can be according to it in layout, and the monitoring device of the building shape of this subregion and ventilation condition, connection and adjacent area are calculated the quantitative configuration of memory storage and distinguished.This distributed frame is split as some subproblems based on local and neighbor information with a challenge and processes, thereby efficient is higher.When building size enlarges, can finish the configuration of new system by increasing calculating memory storage and communication link, therefore can in the situation of not obvious raising algorithm complex, system extension be arrived any one size.This distributed control structure stability is higher simultaneously, when several calculate the memory storage inefficacy, can not hinder the work of whole system.
Some parameter of building structure can be used as such as the topology layout of this subregion, size etc. that static structure information is pre-configured to be calculated in memory storage 102 in each.Simultaneously, in order to make structural information more near truth, the dynamic structure information of describing the building structure connectedness will be by system's Real-time Obtainings such as gate inhibitions, as utilizes various door and windows controls and condition detecting device to obtain the information such as on off state, aperture area of door and window.Utilize the interior 101 pairs of surrounding environment of a plurality of monitoring devices of buildings to monitor to obtain fire monitoring information, with generation or the real-time Transmission current measurement value of the timely perception condition of a fire.Monitoring device 101 can comprise temperature sensor, smoke detector, gas sensor, image-type fire detector etc.Fire monitoring information is including but not limited to temperature, smokescope, gas concentration, flame intensity and Fire Radiation intensity.
102 pairs of fire of the calculating memory storage of each subregion occur in possibility and the intensity of this described subregion and carry out partial estimation, comprising:
(1) utilize building structure information to carry out the prediction of many condition of a fire real time modelling.Adopt corresponding fire spread model that the building structure of local area and adjacent area is simulated, with real-time output and storage fire analog informations such as the temperature of each sensor, gas concentration under the different burning things which may cause a fire disaster intensity when the local area.Corresponding fire spread model can be experimental formula, conflagration area model, fire computational fluid dynamics model and other relevant simplified models etc.In this process, the mutual information in local area and adjacent area can be structural information and the real-time fire monitoring information of each subregion.
(2) by contrast fire monitoring information and fire disaster simulation information, the relative probability ratio that utilizes Bayes's (Bayes) method or other nonlinear estimation algorithms to infer local area and adjacent area fire location and intensity.This step is only calculated in all paired spaces that are made of local area and adjacent area local area with the relative probability ratio of arbitrary adjacent area, and does not consider the concrete probable value of fire location and intensity.Calculate the algorithm that the relative probability ratio of the fire location of local area and corresponding adjacent area and intensity is taked, including but not limited to bayes method.
In existing fire location, the intensity method of estimation, fire model carries out simulation and forecast based on the good building structure information of configured in advance mostly, has ignored the impact that some dynamic disturbance cause, such as the state of the ventilation equipments such as door, window; And the utility model takes full advantage of the gate inhibition's facility in the safety-protection system, connectedness to building structure is carried out dynamic monitoring, and dynamic structure information combined with the static structure information such as physical dimension of configured in advance, so that fire model can reflect actual ventilation state.And, existing fire location, intensity method of estimation need in advance multiple fire scenario to be simulated because of higher calculated amount, yet because the ventilation state that the fire model that uses can not truly reflect current building structure is calculated in the dynamic change of structure connectedness in advance; And the utility model is reduced to the scope of local area and adjacent area based on distributed frame with the fire model yardstick, has greatly reduced the complexity of simulation, supposes simultaneously burning things which may cause a fire disaster at local area, has reduced the fire scenario number that needs simulation.These processing become possibility so that the application fire model carries out real time modelling, have made things convenient for the introducing of dynamic structure information.
The a plurality of partial estimation values of a plurality of calculating memory storage 102 associated treatment can adopt many algorithms with the fire location of acquisition building structure region and the overall estimated value of intensity.In an embodiment of the present utility model, calculate memory storage 102 and obtain fire location probability variable and the intensive probable variable of described each subregion according to the relative probability ratio of the fire location of the local area of each subregion and corresponding adjacent area and intensity, and carry out iterative according to the system of linear equations of described fire location probability variable and intensive probable variable formation and obtain described overall estimated value.Wherein, the in twos ratio of probability variable is determined by fire monitoring information and fire spread model, and all probability variable sums are one.
In another embodiment of the present utility model, adopt the algorithm of spanning tree Network Based that overall estimated value is found the solution, to according to concrete spanning tree be simplified by the system of linear equations that location probability variable and intensive probable variable consist of this moment, only when two adjacent sectors have syntople in spanning tree, the relative probability proportionate relationship of this one-tenth opposite divided intervals just is retained in the system of equations, and other become the relative probability proportionate relationship of opposite divided intervals all will be rejected.
It should be noted that above-mentioned two kinds of overall estimated value derivation algorithms just for the ease of the utility model embodiment is described, and should not be construed as restriction of the present utility model.
The overall estimated value solution procedure that fire fire location and intensity are estimated as shown in Figure 2.Fire fire location and intensity estimating system are at first based on static information and the multidate information of building structure, utilize certain efficient fire spread model that the multiple fire scenario of fire when the local area simulated, in conjunction with single or multiple real-time fire monitoring information, in a plurality of paired subregion of local area and adjacent area formation, fire location and intensity are carried out partial estimation afterwards.After all subregions were finished partial estimation, system determined the overall estimated value of fire location, intensity by the associated treatment of all computing equipments.
Fire fire location and intensity estimating system according to the utility model embodiment, by adopting distributed control structure, take full advantage of the technology such as modern sensing, communication, calculating, decision-making, for the estimation of building interior fire location and intensity provides practicable solution, improved counting yield, robustness and the expandability of fire location and intensity estimating system.The fire location that the utility model obtains and strength information can be used for setting up fire model, can carry out simulation and forecast to the spreading trend of fire in following a period of time, for fire-fighting and evacuation provide prospective guidance and help.The utility model not only estimates to have vital role to building fire fire location, intensity, also can be used to fire location and the intensity of estimating that the exterior space is static or mobile.
Look like down Fig. 3 and describe the operational scheme of fire fire location and the intensity estimating system of the utility model embodiment.
S101: the building structure region is divided into a plurality of subregions, wherein, is provided with a plurality of monitoring devices in each subregion and calculates memory storage, the calculating set of storage devices of a plurality of subregions becomes distributed network.
The building subregion can be divided according to building structure such as room, corridors.In each subregion, a plurality of monitoring devices and calculating memory storage are connected to each other, and each of different by stages calculates between memory storage and can intercom mutually, forms distributed sensing and computational grid.
Existing fire location, intensity method of estimation depend on a central controller mostly, and all metrical informations all will be transferred on it and process, low, the poor anti jamming capability of this control method efficient; And the utility model proposes a kind of distributed control structure, not re-using a central controller calculates and transmits, but building is divided into several subregions, each subregion is furnished with a calculating memory storage and is connected with the sensor monitoring device of local area and is responsible for collection and the processing of data.These calculate memory storage and have same structure at hardware and software, only can be according to it in layouts, and the monitoring device of the building shape of this subregion and ventilation condition, connection and adjacent area are calculated the quantitative configuration of memory storage and are distinguished.This distributed frame is split as some subproblems based on local and neighbor information with a challenge and processes, thereby efficient is higher.When building size enlarges, can finish the configuration of new system by increasing calculating memory storage and communication link, therefore can in the situation of not obvious raising algorithm complex, system extension be arrived any one size.This distributed control structure stability is higher simultaneously, when several calculate the memory storage inefficacy, can not hinder the work of whole system.
S102: in each subregion, utilize static structure information and the dynamic structure information of calculating the affiliated subregion of memory means record, and utilize a plurality of environmental parameters in a plurality of monitoring devices subregion under detecting obtaining fire monitoring information, and fire monitoring information is sent to the calculating memory storage.
Particularly, some parameter of building structure can be used as such as the topology layout of this subregion, size etc. that static structure information is pre-configured to be calculated in memory storage in each.Simultaneously, in order to make structural information more near truth, the dynamic structure information of describing the building structure connectedness will detect in real time, obtain by systems such as gate inhibitions, as utilize various door and windows controls and condition detecting device to obtain the information such as on off state, aperture area of door and window.Utilize the interior a plurality of monitoring devices of buildings that surrounding environment is monitored the fire monitoring information of obtaining with certain sampling rate, with generation or the real-time Transmission current measurement value of the timely perception condition of a fire.Monitoring device can comprise temperature sensor, smoke detector, gas sensor, image-type fire detector etc.Fire monitoring information is including but not limited to temperature, smokescope, gas concentration, flame intensity and Fire Radiation intensity.
S103: each calculates memory storage and the calculating memory storage of corresponding adjacent area and communicates fire monitoring information, static structure information and dynamic structure information with shared local area, and predict fire disaster simulation information under the different burning things which may cause a fire disaster intensity according to static structure information and dynamic structure information simulation, and according to fire disaster simulation information and fire monitoring information local area is carried out partial estimation with the fire location that becomes opposite divided intervals and intensity that the adjacent area consists of, to generate the partial estimation value.
Particularly, each subregion carries out partial estimation to possibility and intensity that fire occurs in this described subregion, comprising:
(1) utilize building structure information to carry out the prediction of many condition of a fire real time modelling.Adopt corresponding fire spread model that the building structure of local area and adjacent area is simulated, with real-time output and storage fire analog informations such as the temperature of each sensor, gas concentration under the different burning things which may cause a fire disaster intensity when the local area.Corresponding fire spread model can be experimental formula, conflagration area model, fire computational fluid dynamics model and other relevant simplified models etc.In this process, the mutual information in local area and adjacent area can be structural information and the real-time fire monitoring information of each subregion.
(2) by contrast fire monitoring information and fire disaster simulation information, the relative probability ratio that utilizes Bayes's (Bayes) method or other nonlinear estimation algorithms to infer local area and adjacent area fire location and intensity.This step is only calculated in all paired spaces that are made of local area and adjacent area local area with the relative probability ratio of arbitrary adjacent area, and does not consider the concrete probable value of fire location and intensity.Calculate the algorithm that the relative probability ratio of the fire location of local area and corresponding adjacent area and intensity is taked, including but not limited to bayes method.
In existing fire location, the intensity method of estimation, fire model carries out simulation and forecast based on the good building structure information of configured in advance mostly, has ignored the impact that some dynamic disturbance cause, such as the state of the ventilation equipments such as door, window; And the utility model takes full advantage of the gate inhibition's facility in the safety-protection system, connectedness to building structure is carried out dynamic monitoring, and the static structure information such as the topology layout in calculating memory storage of dynamic structure information and configured in advance, size are combined, so that fire model can reflect actual ventilation state.And, existing fire location, intensity method of estimation need in advance multiple fire scenario to be simulated because of higher calculated amount, yet because the ventilation state that the fire model that uses can not truly reflect current building structure is calculated in the dynamic change of structure connectedness in advance; And the utility model is reduced to the scope of local area and adjacent area based on distributed frame with the fire model yardstick, has greatly reduced the complexity of simulation, supposes simultaneously burning things which may cause a fire disaster at local area, has reduced the fire scenario number that needs simulation.These processing become possibility so that the application fire model carries out real time modelling, have made things convenient for the introducing of dynamic structure information.
S104: a plurality of partial estimation values of calculating memory storage associated treatment of a plurality of subregions are with the fire location of acquisition building structure region and the overall estimated value of intensity.
Do not having in the situation of central controller, determining the overall estimated value of fire location and intensity by the associated treatment of whole calculating memory storages.Based on the local area of each partitioned storage relative probability ratio with the adjacent area, the calculating memory storage of each subregion can carry out computing by distributed network, infers the overall estimated value of fire location and intensity.Wherein, a plurality of partial estimation values of a plurality of calculating memory storage associated treatment can adopt many algorithms with the fire location of acquisition building structure region and the overall estimated value of intensity.
In an embodiment of the present utility model, calculate memory storage and obtain fire location probability variable and the intensive probable variable of described each subregion according to the relative probability ratio of the fire location of the local area of each subregion and corresponding adjacent area and intensity, and carry out iterative according to the system of linear equations of described fire location probability variable and intensive probable variable formation and obtain described overall estimated value.Wherein, the in twos ratio of probability variable is determined by fire monitoring information and fire spread model, and all probability variable sums are one.
In another embodiment of the present utility model, adopt the algorithm of spanning tree Network Based that overall estimated value is found the solution, to according to concrete spanning tree be simplified by the system of linear equations that location probability variable and intensive probable variable consist of this moment, only when two adjacent sectors have syntople in spanning tree, the relative probability proportionate relationship of this one-tenth opposite divided intervals just is retained in the system of equations, and other become the relative probability proportionate relationship of opposite divided intervals all will be rejected.
It should be noted that above-mentioned two kinds of overall estimated value derivation algorithms just for the ease of the utility model embodiment is described, and should not be construed as restriction of the present utility model.
In an embodiment of the present utility model, fire fire location and intensity estimating system layout as shown in Figure 4, wherein, 401 is heat detector, 402 is access controller, 403 for calculating memory storage.
When fire occurs, near heat detector 401 will detect temperature variation, then send alerting signal when this variation surpasses setting threshold, and this signal is transferred in the coupled calculating memory storage 403 by wireless or wired mode.This calculating memory storage 403 receives the report for police service and by each communication link that calculates between memory storage condition of a fire alarm is broadcasted behind the signal, all starts this fire location and intensity estimating system and respectively calculate memory storage 403 after receiving condition of a fire information.Heat detector 401 can be monitored the temperature of diverse location in this process, and with certain sampling rate data is sent in the correlation computations memory storage 403.
Certain building in subregion fire location and after the intensity estimating system starts, calculate memory storage 403 and call access controller the connectedness of this plot structure is detected, feeding back to such as information such as door and window foldings of obtaining calculated in the memory storage 403.Embed that wherein fire spread model utilizes pre-configured static structure information and the dynamic communication information that monitors is simulated the multiple fire scenario of fire when the local area.Different fire scenarios have different intensity assumed values.In this embodiment, before starting the fire spread model, local area calculates memory storage 403 to carry out alternately with the adjacent area, with the temperature monitoring information that obtains the adjacent area, static state and the multidate information of structure.The fire spread model will carry out modeling based on the structure of local area and all adjacent areas, simulated fire when local area, several may the burning things which may cause a fire disaster intensity under the temperature value of local area and all adjacent areas, the analog result that obtains will be stored in the memory device of local area.
After obtaining the fire monitoring information and analog information in the subrange, calculate memory storage 403 and the two is compared and utilizes certain nonlinear Estimation Algorithms calculate local area with the one-tenth opposite divided intervals fire location of adjacent area formation and the relative probability ratio of intensity.Afterwards, according to the relative probability ratio that becomes opposite divided intervals, by the associated treatment of all calculating memory storages, the overall estimated value of fire location and intensity can be determined.In this embodiment, each subregion will at first utilize bayes method to carry out the partial estimation of fire location, intensity in the some paired space that is made of local area and adjacent area.For different adjacent areas, local area all will go out the relative probability ratio that this becomes opposite divided intervals fire location and intensity based on the fire monitoring information calculations of local area and this adjacent area in the analog information of this locality storage and the actual fire.Afterwards, utilize the algorithm of certain spanning tree Network Based that fire location and intensity are carried out overall situation estimation.In the method, how many adjacent sectors no matter arbitrary subregion all can (have to its transmission information by certain special communication process, only receive the information of an adjacent area) generate the spanning tree that covers all subregions take it as starting point based on calculating the network that memory storage consists of, and set up one group about the linear equation of each subregion fire location, intensive probable with this.Wherein, only have the relative probability ratio of the one-tenth opposite divided intervals of syntople to characterize in system of equations in spanning tree, all the other become the relative probability proportionate relationship of opposite divided intervals all will be left in the basket.Because all probability variable sums should be 1, this system of equations can be found the solution, thereby the overall situation that obtains fire location, intensity is estimated.
Describe and to be understood in the process flow diagram or in this any process of otherwise describing or method, expression comprises the module of code of the executable instruction of the step that one or more is used to realize specific logical function or process, fragment or part, and the scope of preferred implementation of the present utility model comprises other realization, wherein can be not according to order shown or that discuss, comprise according to related function by the mode of basic while or by opposite order, carry out function, this should be understood by embodiment person of ordinary skill in the field of the present utility model.
In process flow diagram the expression or in this logic of otherwise describing and/or step, for example, can be considered to the sequencing tabulation for the executable instruction that realizes logic function, may be embodied in any computer-readable medium, use for instruction execution system, device or equipment (such as the computer based system, comprise that the system of processor or other can and carry out the system of instruction from instruction execution system, device or equipment instruction fetch), or use in conjunction with these instruction execution systems, device or equipment.With regard to this instructions, " computer-readable medium " can be anyly can comprise, storage, communication, propagation or transmission procedure be for instruction execution system, device or equipment or the device that uses in conjunction with these instruction execution systems, device or equipment.The more specifically example of computer-readable medium (non-exhaustive list) comprises following: the electrical connection section (electronic installation) with one or more wirings, portable computer diskette box (magnetic device), random-access memory (ram), ROM (read-only memory) (ROM), the erasable ROM (read-only memory) (EPROM or flash memory) of editing, fiber device, and portable optic disk ROM (read-only memory) (CDROM).In addition, computer-readable medium even can be paper or other the suitable media that to print described program thereon, because can be for example by paper or other media be carried out optical scanning, then edit, decipher or process to obtain described program in the electronics mode with other suitable methods in case of necessity, then it is stored in the computer memory.
Should be appreciated that each several part of the present utility model can realize with hardware, software, firmware or their combination.In the above-described embodiment, a plurality of steps or method can realize with being stored in the storer and by software or firmware that suitable instruction execution system is carried out.For example, if realize with hardware, the same in another embodiment, can realize with the combination of each or they in the following technology well known in the art: have for the discrete logic of data-signal being realized the logic gates of logic function, special IC with suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.
Those skilled in the art are appreciated that and realize that all or part of step that above-described embodiment method is carried is to come the relevant hardware of instruction to finish by program, described program can be stored in a kind of computer-readable recording medium, this program comprises step of embodiment of the method one or a combination set of when carrying out.
In addition, each functional unit in each embodiment of the utility model can be integrated in the processing module, also can be that the independent physics of unit exists, and also can be integrated in the module two or more unit.Above-mentioned integrated module both can adopt the form of hardware to realize, also can adopt the form of software function module to realize.If described integrated module realizes with the form of software function module and during as independently production marketing or use, also can be stored in the computer read/write memory medium.
The above-mentioned storage medium of mentioning can be ROM (read-only memory), disk or CD etc.
In the description of this instructions, the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means to be contained at least one embodiment of the present utility model or the example in conjunction with specific features, structure, material or the characteristics of this embodiment or example description.In this manual, the schematic statement of above-mentioned term not necessarily referred to identical embodiment or example.And the specific features of description, structure, material or characteristics can be with suitable mode combinations in any one or more embodiment or example.
Although illustrated and described embodiment of the present utility model, for the ordinary skill in the art, be appreciated that in the situation that does not break away from principle of the present utility model and spirit and can carry out multiple variation, modification, replacement and modification to these embodiment that scope of the present utility model is by claims and be equal to and limit.
Claims (2)
1. a fire fire location and intensity estimating system comprise:
Many group estimating apparatus, wherein, every group of estimating apparatus is separately positioned in the subregion of building structure region, and wherein, every group of estimating apparatus comprises:
A plurality of monitoring devices, wherein, described a plurality of monitoring devices are separately positioned on a plurality of positions in the described subregion, and a plurality of environmental parameters in the subregion under each monitoring device detects respectively are to obtain fire monitoring information;
Calculate memory storage, described calculating memory storage links to each other with described a plurality of monitoring devices respectively, static structure information and the dynamic structure information of subregion under the record, and communicate to share the fire monitoring information of local area with the described calculating memory storage of corresponding adjacent area, static structure information and dynamic structure information, predict fire disaster simulation information under the different burning things which may cause a fire disaster intensity according to described static structure information and described dynamic structure information simulation, and according to described fire disaster simulation information and described fire monitoring information local area is carried out partial estimation with the fire location that becomes opposite divided intervals and intensity that described adjacent area consists of, to generate the partial estimation value;
Wherein, the described calculating set of storage devices of described a plurality of subregions becomes distributed network, each described calculating memory storage communicates to share fire monitoring information, static structure information and the dynamic structure information of local area with the described calculating memory storage of corresponding adjacent area, and a plurality of described partial estimation values of described calculating memory storage associated treatment of described a plurality of subregions are with the fire location that obtains described building structure region and the overall estimated value of intensity.
2. fire fire location as claimed in claim 1 and intensity estimating system is characterized in that, described a plurality of monitoring devices comprise:
Temperature sensor, sense smoke sensor, gas sensor, image-type fire detector.
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| CN 201220268954 CN202838579U (en) | 2012-06-07 | 2012-06-07 | Fire disaster fire source position and intensity estimating system |
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| CN 201220268954 CN202838579U (en) | 2012-06-07 | 2012-06-07 | Fire disaster fire source position and intensity estimating system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737466A (en) * | 2012-06-07 | 2012-10-17 | 清华大学 | Method and system for estimating position and intensity of ignition source of fire |
| WO2018049950A1 (en) * | 2016-09-19 | 2018-03-22 | 上海波汇科技股份有限公司 | Threshold processing method for temperature-sensitive fire alarm system |
| CN110162876A (en) * | 2019-05-20 | 2019-08-23 | 中国矿业大学(北京) | The change of current becomes the intensity inverting assessment of fire fire source and temperature field prediction method and system |
| CN111222577A (en) * | 2019-12-11 | 2020-06-02 | 上海联影智能医疗科技有限公司 | Situation awareness system and method |
| CN112185050A (en) * | 2020-09-25 | 2021-01-05 | 珠海格力电器股份有限公司 | Security level confirmation method and device and fire fighting system |
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2012
- 2012-06-07 CN CN 201220268954 patent/CN202838579U/en not_active Expired - Lifetime
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737466A (en) * | 2012-06-07 | 2012-10-17 | 清华大学 | Method and system for estimating position and intensity of ignition source of fire |
| WO2018049950A1 (en) * | 2016-09-19 | 2018-03-22 | 上海波汇科技股份有限公司 | Threshold processing method for temperature-sensitive fire alarm system |
| CN110162876A (en) * | 2019-05-20 | 2019-08-23 | 中国矿业大学(北京) | The change of current becomes the intensity inverting assessment of fire fire source and temperature field prediction method and system |
| CN111222577A (en) * | 2019-12-11 | 2020-06-02 | 上海联影智能医疗科技有限公司 | Situation awareness system and method |
| CN111222577B (en) * | 2019-12-11 | 2024-01-26 | 上海联影智能医疗科技有限公司 | System and method for situation awareness |
| US11966852B2 (en) | 2019-12-11 | 2024-04-23 | Shanghai United Imaging Intelligence Co., Ltd. | Systems and methods for situation awareness |
| CN112185050A (en) * | 2020-09-25 | 2021-01-05 | 珠海格力电器股份有限公司 | Security level confirmation method and device and fire fighting system |
| CN112185050B (en) * | 2020-09-25 | 2022-03-04 | 珠海格力电器股份有限公司 | Security level confirmation method and device and fire fighting system |
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