CN105488940A - System and method for performing early-warning on electric fire based on safety factors - Google Patents
System and method for performing early-warning on electric fire based on safety factors Download PDFInfo
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The invention commonly relates to a system and a method for performing early-warning on an electric fire, and particularly to a system and a method for performing early-warning on fire possibility based on various safety factors. The method comprises the steps of generating various kinds of data based on data acquisition; evaluating the data based on the safety factors; calculating a safety factor value based on the safety factors from the various kinds of data; generating a control instruction based on the safety factor value; and displaying the safety factor value on display equipment.
Description
Technical field
Technical field of the present invention relates generally to the system and method for electric fire disaster warning, and more specifically, relates to the system and method carrying out early warning electrical fire probability of happening based on various safety factor.
Background technology
It is large that electrical fire often occurs in power consumption, in the environment that the density of population is larger, so fire is once occur, must will cause a large amount of personnel's property loss.The reason of fire of electrical fire mainly contains following several: electric leakage, short circuit, overload, contact resistance are excessive etc.Due to its singularity, it is made to be difficult to be taken precautions against in early days.The early warning adopting monitoring residual electricity flow valuve or monitoring cable temperature value to carry out electrical fire of traditional electric fire disaster warning product, also has the early warning product of simultaneously monitoring two kinds of parameters more.Such as, have publication number CN201320717401 name to be called the Chinese patent of " electric fire disaster warning system ", the data source of its monitoring is residual electricity flow valuve, cable temperature value is not monitored as to the call parameter of electric fire disaster warning.
Some traditional products are attempted to increase different parameters to optimize early warning effect.Such as, publication number CN201310394373 name is had to be called the Chinese patent of " a kind of electric fire disaster warning method and system ", the data source of its monitoring is apparatus casing temperature, environment temperature, parameters of electric power, parameters of electric power comprises electric current, the voltage of single-phase electric devices, the line current of three-phase electricity consumer, line voltage and neutral line current, do not monitor environmental parameter and industry kind as the call parameter of electric fire disaster warning.For a large amount of layman, may find that traditional electric fire disaster warning equipment is not particularly useful.
From technical standpoint, some users more wish to carry out typically optimum results by the following step, that is: gather Various types of data possible in a large number, and obtain early warning suggestion according to the principle of optimality drafted.The principle of optimality is usually relevant with industry kind to environmental parameter.For example, the principle of optimality can set according to different industries, such as same electrical leakage, and the probability causing electrical fire at dangerous goods store and spacious building is different; Or Environment parameter is that the highest weighting of the principle of optimality sets, such as same temperature value is also not identical in winter of cold with the probability causing electrical fire moistening spring and summer.Therefore, these users may more be concerned about the principle of optimality setting and by display factor of safety value after calculating, and produce corresponding instruction according to factor of safety value and present to user.But, also there is no such electric fire disaster warning system.
Expect the system and method being provided for considering to carry out electrical fire early warning at least in part based on safety factor.In addition, by reference to the accompanying drawings and aforesaid technical field and background, from follow-up detailed description and claims, other characteristic sum features expected will become obvious.
Summary of the invention
According to exemplary embodiment, provide a kind of method for carrying out early warning for electrical fire.Described method comprises step: produce Various types of data based on data acquisition; Described Various types of data is assessed based on safety factor; From described Various types of data, factor of safety value is calculated based on described safety factor; Steering order is produced based on described factor of safety value; Show on the display device with by described factor of safety value.
According to exemplary embodiment, provide a kind of system for early warning electrical fire probability of happening.This system comprises: the image data source being configured to storage of collected data; Be configured to the secure source of storage security factor; Processor, described processor is connected to described image data source and described secure source, and is configured to: produce Various types of data based on described image data; Described Various types of data is assessed based on described safety factor; From described Various types of data, factor of safety value is calculated based on described safety factor; Steering order is produced with based on described factor of safety value; And display device, described display device is connected to described processor, and is configured to receive described factor of safety value, described steering order and produce user based on described steering order show information.
The present invention also comprises following scheme:
Scheme 1. 1 kinds is for carrying out the method for early warning for electrical fire, described method comprises step:
Various types of data is produced based on data acquisition;
Described Various types of data is assessed based on safety factor;
From described Various types of data, factor of safety value is calculated based on described safety factor;
Steering order is produced based on described factor of safety value; With
By described factor of safety value display on the display device.
The method of scheme 2. as described in scheme 1, comprises step further: receive described Various types of data from user.
The method of scheme 3. as described in scheme 1, comprises step further: receive described safety factor from user.
The method of scheme 4. as described in scheme 1, comprises step further: obtain each data relevant to safety factor in described Various types of data.
The method of scheme 5. as described in scheme 1, comprises step further: receive the user be associated with described electrical fire and input.
The method of scheme 6. as described in scheme 1, comprises step further: the audio frequency providing described steering order.
The method of scheme 7. as described in scheme 1, comprises step further: produce the safety warning be associated with at least one data of described Various types of data.
The method of scheme 8. as described in scheme 7, wherein, described safety warning comprises latent defect scene.
The method of scheme 9. as described in scheme 1, wherein, described appraisal procedure comprises the multiple safety factor of assessment.
The method of scheme 10. as described in scheme 9, wherein, described appraisal procedure comprises further:
Be that each in described Various types of data determines early warning value based on described multiple safety factor; With
Risk score is given to described all kinds of safety factor and/or each sub-factor wherein.
The method of scheme 11. as described in scheme 10, wherein, described appraisal procedure comprises further:
The risk score of described sub-factor is weighted and standardization, to provide the risk score after final weighting for the sub-factor of each in described all kinds of safety factor.
Scheme 12. 1 kinds, for the system of early warning electrical fire, comprising:
Be configured to the image data source of storage of collected data;
Be configured to the secure source of storage security factor;
Processor, described processor is connected to described image data source and described secure source, and is configured to:
Various types of data is produced based on described image data;
Described Various types of data is assessed based on described safety factor;
From described Various types of data, factor of safety value is calculated based on described safety factor; With
Steering order is produced based on described factor of safety value; With
Display device, described display device is connected to described processor, and is configured to receive described factor of safety value, described steering order and produce user based on described steering order show information.
The system of scheme 13. as described in scheme 12, wherein, described processor is configured to produce described Various types of data based on described image data.
The system of scheme 14. as described in scheme 12, wherein, described processor be configured to produce be associated with at least one data of described Various types of data, for being presented at the safety warning on described display device.
The system of scheme 15. as described in scheme 14, comprise the audio frequency apparatus being connected to described processor further, and wherein said processor is configured to produce advisory information or warning message, for exporting at least one in described display device or described audio frequency apparatus based on described steering order.
The system of scheme 16. as described in scheme 14, wherein, described safety warning comprises latent defect scene.
Accompanying drawing explanation
Hereafter the accompanying drawing combined below is described one or more example, wherein identical Reference numeral indicates identical unit, and in accompanying drawing:
Fig. 1 is the rough schematic view of the electric fire disaster warning system according to exemplary embodiment;
Fig. 2 be according to exemplary embodiment, for the process flow diagram of the illustrative methods of early warning electrical fire;
Fig. 3 is the graphical representation of exemplary of the display information generated by the system of Fig. 1; With
Fig. 4 is the rough schematic view of the electric fire disaster warning system according to alternative exemplary embodiment.
Embodiment
Detailed description is below only exemplary in essence, and is not intended to restriction application and uses.In addition, the constraint being subject to the theory obviously or impliedly proposed in aforesaid technical field, background technology, summary of the invention or detailed description below is also not intended to.
Broadly, exemplary embodiment discussed here provides the electric fire disaster warning system and method based on some safety factor assessment Various types of data.In practice, described system and method can produce many safety factors, for each of these factors gives risk score, determine the relative weighting of these factors, and the risk score of weighting is sued for peace, thus show that ultimate risk is marked for each factor, and calculate factor of safety value and be supplied to user.
Fig. 1 is the schematic diagram of the electric fire disaster warning system 100 according to exemplary embodiment.As discussed in more detail below, electric fire disaster warning system 100 can utilize electronic technology or multi-purpose computer to carry out specific implementation.
Electric fire disaster warning system 100 generally comprise be connected to secure source 105 early warning system processor 101, at least one image data source 103, user interface 107, display device 109 and audio frequency apparatus 111.In reality, these parts are to be conducive to being connected to early warning system processor 101 to early warning system processor 101 with the mode communicated from early warning system processor 101 pairs of data, instruction, signal that control signal is possible with other.Certainly, the optional feature being configured to perform additional function can be provided.
Usually, early warning system processor 101 is configured to perform or otherwise support various operation described herein and function.Such as, early warning system processor 101 can comprise the computing machine of any type, microprocessor or controller, and any additional logic to be realized by hardware, software, firmware or other combination in any or function element, such as additional processor, controller, memory component or analog.
The Various types of data that image data source 103 provides current actual monitoring to arrive to early warning system processor 101.In one embodiment, image data source 103 is implemented as residual current detection parts, and it obtains current residual electricity flow valuve in real time from service cable.In other embodiments, image data source 103 can be omitted, and interested data or or even current occasion real time data can be provided by user interface 107, to be used by early warning system processor 101.
In reality, the image data of suggestion typically will comprise Various types of data (such as various electrical quantity data, ambient parameter data, densely populated place level data etc.), and consider its real time record and historical record when Various types of data is evaluated.In one exemplary embodiment, such as, electrical quantity data can comprise current data, such as: residual current, harmonic current, Calibrated current, rated maximum current etc., some current data can based on analytical equipment running status.Other electrical quantity data can comprise voltage, active power, total active power, reactive power, total reactive power, applied power.In a further embodiment, electrical quantity data can comprise: the data of power factor, total active energy and total reactive energy etc.
Secure source 105 generally contains an early warning value determined of Various types of data and indicates the safety factor standards of grading of each application scenario for safety requirements.Secure source 105 can be embodied in that this locality that can be processed by early warning system processor 101 stores, buffer memory, download or can the secure source of remote access.Such as, secure source 105 can be implemented as one or more hard disk, semiconductor memory devices, portable storage media, or the storer of the other types that can be accessed by early warning system processor 101.As discussed in more detail below, safety factor data may correspond to the standard in industry characteristic, industry casualty data, Classification of Dangerous deciding grade and level, and any other categorical data relevant with electrical fire risk.
Safety factor data from secure source 105 can comprise statistics and/or the real time data of the relative safety of each application scenario indicated in consideration.In one exemplary embodiment, safety factor data can obtain from industry laws, security incident statistics, described security incident data can comprise the accident rate data of statistics, real-time unscheduled event data, accident (Crash) severity data, and correspond to other accident related datas of the specific occasion in considering.In an actual embodiment, safety factor data can obtain, access or derive from various public or privately owned source, " safety in production industry standard catalogue ", National Standard of the People's Republic of China's " GBT13861-2009 production run and hazard factor classification and code " etc. that " Chinese fire protection yearbook " that such as state ministry of public security fire department issues every year, State Administration of Quality and Technical Supervision issue.
The safety factor data type of any number and combination, comprises the safety factor data more more or less than those safety factor data discussed herein, all can be processed by early warning system processor 101.Safety factor data can be formatted as and can be processed by early warning system processor 101, or are converted to suitable form by early warning system processor 101 before treatment.
Display device 109, audio frequency apparatus 111 and user interface 107 can be configured to can to carry out between user and system 100 alternately various types of.Such as, display device 109 can be the liquid crystal display (LCD), plasma display, cathode ray tube (CRT) display or the head-up display that are properly configured.Therefore, early warning system processor 101 can provide image data, safety factor, steering order to display device 109, and to facilitate user to check, that such as discusses in more detail below is such.
In brief, audio frequency apparatus 111 can from early warning system processor 101 received audio signal, such as, transmit the sound signal having steering order, user's prompting, caution signal and other earcons.User interface 107 is configured to allow user to transmit function and the feature of data and/or control system 100.User interface 107 can use any equipment or structure to realize, such as keyboard or small-sized key plate, touch-screen (can be merged in display device 110), sound recognition system, cursor control device, web-transporting device, wireless control apparatus or operating rod button or similar devices.Such as, user can handle the sound signal that early warning system processor 101 was opened or closed to user interface 107.
Have now been described the basic structure of system 100, using supplying method 200 as the exemplary description to function.Fig. 2 is the simple process figure of method 200.Because method 200 utilisation system 100 is in all case implemented, therefore referring to Fig. 1 and Fig. 2.
Generally speaking, method 200 carrys out the possibility of early warning electrical fire generation based on one or more safety factor.In the first step 205 of method 200, early warning system processor 101 produces Various types of data from data acquisition, and alternately, described Various types of data can obtain from user interface 107.In second step 210, the early warning value of all kinds of image data of system acceptance, in one exemplary embodiment, early warning value is provided by secure source 105.Alternately, described early warning value can obtain from user interface 107.
In third step 215, early warning system processor 101 receives safety factor from secure source 105.In one exemplary embodiment, main security factor can input in user interface 107, for carrying out analyzing and processing by early warning system processor 101 by user.
In the 4th step 220 and the 5th step 225, system 100 assesses the feature of Various types of data based on some safety factor.Usually, factor of safety value can be defined as specifying relative possibility occasion with accident or other security incidents, and factor of safety value comes (1) by formula to be provided:
(1)
Wherein Xi is the risk score to i-th factor, and Wi is the weight to i-th factor.
More specifically, in the 4th step 220, early warning system processor 101 determines to consider which safety factor.Safety factor can be selected by user, or can provide from the safety factor data secure source 105.Early warning system processor 101 can consider the safety factor of any number, and a lot of safety factor can be subdivided into sub-factor, and some of them are listed above.Usually, term " safety factor " refers to one group of relevant sub-factor, but also can use any feature.In this exemplary embodiment, early warning system processor 101 considers seven safety factors, and it is listed in the table below in 1.Each factor is relevant at least one sub-factor, and described sub-factor makes it possible to carry out risk score that can be quantitative, as discussed below.
As discussed above, every sub-factor and factor all can increase or reduce the security risk to specific occasion.Such as, in Classification of Dangerous situation factor, sub-factor is " the 2nd class pressure gas and liquid gas ", and according to statistics, inflammable gas has a big risk than non-flammable compressive gas.In physical environment situation factor, the sub-factor assessed is environment temperature, and high ambient temperature occasion is considered to having a big risk than low ambient temperature occasion.In dangerous material service condition factor, the sub-factor assessed is the use amount of dangerous material, and it is larger that the use amount with higher risk product is considered to risk.In electrical quantity factor, the sub-factor assessed is residual electricity flow valuve, and it is larger that higher residual electricity flow valuve is considered to risk.In temperature parameter factor, the sub-factor assessed is cable temperature, and it is larger that higher temperature value is considered to risk.In contiguous occasion feature factor, the sub-factor assessed is the distance of nearest refuelling station, and it is larger that distance value is considered to risk when numerical value is less.Finally, in the example of table 1, in operating personnel's situation factor, the sub-factor assessed is for related personnel is by training degree, and having lower training degree, to be considered to risk larger.
In the 5th step 225, early warning system processor 101 is by being associated image data with safety factor thus assessing for this occasion.The exemplary analysis be associated with safety factor about image data has been shown in following table 2.
In further step 230, early warning system processor 101 based on the data from secure source 105 to the son of each safety factor relevant in this occasion because usually giving risk score.In this embodiment, secure source 105 can comprise risk score or be used for based on occasion feature calculation risk scoring algorithm.Risk score provides standardized value, makes early warning system processor 101 can assess the relative safety of each occasion.In the example here discussed, higher scoring corresponds to higher risk class.Equally, risk score can be summarize, or can be the absolute value after calculating, and such as described acquired data values accounts for the number percent of described data early warning value.Following table 3 provides the exemplary lists of the risk score of the sub-factor about each factor.
Risk score can calculate in many ways, and an exemplary embodiment only depicted by table 3.Exemplarily, risk score can have absolute value.Such as, the sub-factor of electrical quantity situation factor is residual electricity flow valuve, and this risk score is the number percent that the residual electricity flow valuve collected accounts for residual current early warning value, and calculating gained number percent is exactly risk score.Such as, upper table actual measurement residual electricity flow valuve is 100mA, and early warning value is 500mA, and this corresponds to risk score 0.2.Certainly, other sub-factor scores scale or scoring also can use.Such as, in another embodiment, the scoring scale of sub-factor can be relative.In such an embodiment, calculate the occasion that gained number percent is greater than 80% and can be endowed scoring 1, number percent in the be endowed scoring 0.5 of 40%--80%, number percent be less than 20% can be endowed scoring 0.
As such a example, with the sub-factor of closing on occasion feature in, the distance of nearest refuelling station is 1 kilometer.In this scoring example, distance be greater than 10 kilometers be endowed scoring 0, distance is endowed scoring 0.5 at 4-10 kilometer, distance be less than 4 kilometers be endowed scoring 1.In other words, the difference between relative score need not and relative quantity data between difference proportional.Usually, any suitable marking scheme can be provided.
The risk score of each factor is determined by calculating its each sub-factor risk scoring.In other embodiments, factor risk scoring can be the weighted mean of antithetical phrase factor risk scoring, to adapt to the relative importance of every sub-factor.
In following step 235, the weight (Wi in above-mentioned formula) of each risk factors determined by early warning system processor 101.Continue example above, provide one group of exemplary weights for each factor below in table 4.
Usually, weight reflects a factor and how to work to accident relative to other factors.Such as, by using example above, the situation of electrical quantity accounts for the weight of 40% of overall risk calculating, and operating personnel's situation accounts for the weight of 5% of overall risk calculating.Like this, the situation of electrical quantity is weighted into the octuple of operating personnel's situation in total scoring evaluation, such as, if weight is the fire that may cause based on the situation of electrical quantity is the statistics of the octuple of the accident that the situation of operating personnel may cause, if or user is subjective is more concerned about the situation of parameter instead of the situation of operating personnel, this weight can derive from statistics and can be preset by system 100.In one exemplary embodiment, for each factor and sub-factor, weight can carry out modeling by the situation of electrical quantity.In another embodiment, relative weighting can be selected or assignment by user.
In the examples described above, risk score is considered to the risk score of factor or sub-factor, and weight is considered to consider different venture influences and be weighted correlative factor.In other embodiments, factor or sub-factor can be marked about on the overall risk impact of electrical fire.Such as, dry occasion improves the probability of happening that electric leakage causes electrical fire.In suc scheme, weight is by dispensable, and factor or sub-factor scores can be sued for peace simply to obtain factor of safety value.
In further step 240, corresponding weight is multiplied with risk score by early warning system processor 101, and to result summation, to obtain final factor of safety value, as the middle statement of formula (1) above.Below, table 5 indicates the result of calculation about example occasion.
Therefore, based on the calculating of factor of safety value, the factor of safety value of image data is 0.74 and the factor of safety value of early warning value is 0.8, and this occasion fire risk is comparatively large, and user should be reduced factor of safety value according to risk score adjust of the sub-factor of each factor.In final step 245, the factor of safety value of early warning system processor 101 each occasion for user produces and other data, as will described now.
Fig. 3 is the exemplary display information 300 produced by early warning system processor 101, such as, for showing on the display device 110 of Fig. 1.Display information 300 is generally depict the Various types of data specifying occasion to gather.Early warning value 302, device failure alert 303 that display information 300 comprises the real time data be associated of all kinds of image data and/or historical data 301 further and is associated with all kinds of image data.Display information 300 can comprise the information 330 relevant to risk assessment further.Such as, risk assessment information 330 can comprise: list of factors 331, and associated weight 332 and the risk score 333,334 about the weighting of every bar latency.Evaluation information 330 can comprise further: factor of safety value and the steering order 320 be associated with factor of safety value.In one exemplary embodiment, display information 300 also can have interactive elements, such as, user can be made to select and the element 335 not selecting safety factor.Such as, if user is indifferent to the situation of trade classification, then user can not select this safety factor by clicking the interactive elements 335 be associated.Responsively, early warning system processor 101 will recalculate the risk score of corresponding occasion as described above, but does not consider unselected factor.Other interactive elements can be provided, such as, enable user change the weight of safety factor and increase the interactive elements of safety factor.
Display information 300 can show further to specify occasion adjoining easily send out accident occasion 391,392,393 relevant data, it corresponds to and is confirmed as the most dangerous region near appointment occasion.In display information 300, easily send out incident area 391,392,393 and represented by the block diagram of encoding, and play warning user to reduce the effect of the risk of specifying occasion further.In certain embodiments, this display information show further the possible accident scene 381,382,383 be associated with each region 391,392,393.Such as, scene 381 indicates region 391 dangerous material explosion accident association.Scene 382 indicates region 392 and is easy to gas leakage accidents of causing danger.Scene 383 indicates region 393 and is easy to electric leakage accident occurs.Scene 381,382,383 makes it possible to warning further and suggestion user, thus reduces or eliminates particular risk.
Fig. 4 is the schematic diagram of the alternate exemplary embodiment of electric fire disaster warning system 400.Although electric fire disaster warning system 400 generally operates like that according to above-mentioned electric fire disaster warning system 100, at least some parts of electric fire disaster warning system 400 are merged into via in network 403, data center 402, mobile collection equipment 401 and/or universal computing device 404.Although data center 402 is depicted as away from mobile collection equipment 401 in the diagram, data center 402 can additionally be loaded on mobile collection equipment 401.To describe mobile collection equipment 401, computing equipment 404, data center 402 and network 403 at first, be the operation instructions to electric fire disaster warning system 400 subsequently.
Mobile collection equipment 401 can be the portable set of any type, comprises portable computer, hand-held mobile terminal, removable data collecting device etc.In some exemplary embodiments, mobile collection equipment 401 comprises data acquisition module 411, GPS (GPS) parts 412, user interface 413, communication system 414, display device 415, audio frequency apparatus 416 and equipment reservoir 417, its each be connected to device handler 418.Device handler 418 can be the computing machine of any type, microprocessor or controller, and performs early warning system processor 101 at least one function in above-described function with reference to Fig. 1.
Parts 412 generally may correspond to the appointment occasion in discussing in FIG above, and can with gps satellite alternately to determine the current location of mobile collection equipment 401.In alternative embodiments, GPS parts 412 can omit, and mobile collection equipment 401 can utilize the locator data provided by cellular telecommunication network or any suitable positioning system, or can be dependent on the appointment occasion that user inputs current appointment occasion or expectation.
User interface 413 generally may correspond to the user interface 107 in discussing in FIG above.User interface 413 is configured to allow the user of mobile collection equipment 401 to carry out completing user input via button, controller or microphone.Such as, user interface 413 can be the touch-screen with user interface element, and user interface element is drop-down list, check box, radio button, tA entry field or the analog by using various programming language or programmed method to implement such as.
Communication system 414 is configured to communicate with data center 402.This communication can comprise the sending/receiving of the transmission of data, exchange and control signal.In one exemplary embodiment, communication system 414 comprises telematics or cellular telecommunication system.In other examples, the communication facilities being different from cellular telecommunication can be adopted.Such as, and be nonrestrictive, the communication facilities of any other type that can adopt RF transceiver, WiFi communication equipment, satellite communication equipment, dedicated short range communication equipment or can effectively communicate with data center 402.
Display device 415 generally corresponds to the display device 109 of Fig. 1, and such as can be any suitable display device of the visual display for providing early warning to advise.Display device 415 such as can show the visual part described in Fig. 3.Audio frequency apparatus 416 generally corresponds to the audio frequency apparatus 111 of Fig. 1, and such as can be any suitable audio frequency apparatus for providing the steering order that can listen to the user of mobile collection equipment 401.
Mobile collection equipment 401 can comprise equipment reservoir 417 further, and it is configured to store for the instruction of device handler 418, and for any image data of being accessed by other modular units or safety factor data.Equipment reservoir 417 can store safety factor data described herein, but these data are such as described below usually accesses acquisition from data center 402.Equipment reservoir 417 can be implemented with the hardware of any type, such as disk, CD, semiconductor memory or any other recording medium.
Generally speaking, what data center 402 can be that computing equipment 404 and mobile collection equipment 401 can access via network 403 anyly puts together or separated database.Such as, data center 402 can comprise secure source 105, and at least some processing capacity in the processing capacity of the early warning system processor 101 discussed in FIG above.Such as, data center 402 can be configured to receive electric fire disaster warning request from mobile collection equipment 401 or computing equipment 404, and produces corresponding factor of safety value, as discussed below.Thus, data center 402 can comprise the processor of any number, interchanger, server, database and Field Adviser, and other telecommunications various and calculate facility.Data center 402 such as can be Cloud Server.
Network 403 can be included between mobile collection equipment 401 and computing equipment 404 and transmit the necessary any hardware of content, software and firmware.These contents can obtain in analog or digital signal, and by data or acoustic channel transmission.Network 403 also can comprise the network facilities, such as router, data line, hub and intermediate server, and they form the network based on bag together, such as the Internet or Intranet.Network 403 can comprise communication component based on circuit and mobile communication means, such as telephone switchboard, modulator-demodular unit, cellular communication tower etc. further.
Exemplarily, network 403 can comprise Local Area Network, wide area network (WAN), wireless network (such as, 802.11 or cellular network), PSTN (PSTN), mobile self-grouping network, other combinations of personal area network's (such as, bluetooth) or procotol and network type or displacement.Network 403 can comprise single lan (LAN) or wide area network (WAN), or the combination of LAN or WAN, such as the Internet.The various equipment being connected to network 403 can be incorporated to wireless connections, comprise short range (such as, bluetooth) or long-range (such as, IEEE802.11, IEEE802.x radio communication, 3G, 4G or cellular radio) agreement.
Computing equipment 404 can be any universal computing device.Such as, computing equipment 404 can be microcomputer, desk-top computer, smart phone, hand-held intelligent device systems etc.
During the first exemplary operation, the acquisition module collection in electric fire disaster warning system 400 produces Various types of data, and alternately, described Various types of data can obtain from user interface 413.Device handler 418 receives and suitably encapsulates Various types of data, makes communication system 414, via network 403, Various types of data request is sent to data center 402.The information of the request of data security risk factor preference that also can comprise such as Various types of data early warning value and/or user and so on.
As mentioned above, after data center 402 receives early warning request, based on one or more safety factor assessment Various types of data, and via the factor of safety value that network 403 is offered suggestions to mobile collection equipment 401.Device handler 418 receives the factor of safety value of suggestion, and produces control signal, display and sound signal, to send the factor of safety value of suggestion, control signal to user via display device 415 and audio frequency apparatus 416.The information being provided to user can be included in the information discussed in Fig. 3 above.
During the second exemplary operation, all kinds of image data is input in computing equipment 404 by user, and electric fire disaster warning system 400 produces early warning request.Early warning request is sent to data center 402 via network 403 by computing equipment 404 subsequently.Data center 402 receives early warning request, based at least one safety factor assessment data, and provides factor of safety value via network 403 to computing equipment 404.Computing equipment 403 receives factor of safety value, and produces display and/or sound signal, to send the factor of safety value of suggestion and instruction to user via any suitable visual device and acoustic component.In this exemplary operation, computing equipment 404 can comprise printer, and the instruction of suggestion can be printed, thus with operation later.
Therefore, above-mentioned exemplary embodiment provides the improvement system and method carrying out early warning electrical fire based on safety factor.Here exemplary embodiment is described with regard to function and/or logical block components and various treatment step aspect.Should be realized that, this block part can realize by being configured to perform the hardware of any number of concrete function, software and/or firmware component.Such as, embodiments of the invention can adopt various integrated circuit components, such as memory component, digital signal processing element, logic element, look-up table etc., and they can perform various function under the control of one or more microprocessor or other opertaing devices.In addition, exemplary embodiment can be put into practice in conjunction with the electric fire disaster warning system platform of any number, framework and deployment.
Although described at least one illustrative examples in describing in detail above, should be realized that this system and method exists a large amount of modification.It should further be appreciated that, one or more illustrative examples is only example, and is not intended to limited field, application or configuration by any way.But detailed description above will be provided for the early warning scheme implementing one or more illustrative examples to those skilled in the art.It should be understood that when not deviating from the scope set forth by claims and legal equivalents thereof, various change can be carried out to the function of element and layout.
Claims (8)
1., for making a method for early warning for electrical fire, described method comprises step:
Various types of data is produced based on data acquisition;
Described Various types of data is assessed based on safety factor;
From described Various types of data, factor of safety value is calculated based on described safety factor;
Steering order is produced based on described factor of safety value; With
By described factor of safety value display on the display device.
2. the method for claim 1, comprises step further: receive described Various types of data from user.
3. the method for claim 1, comprises step further: receive described safety factor from user.
4. the method for claim 1, comprises step further: obtain to about each data relevant with safety factor in described Various types of data.
5. the method for claim 1, comprises step further: receive the user be associated with described electrical fire and input.
6. the method for claim 1, comprises step further: the audio frequency providing described steering order.
7., for a system for early warning electrical fire, comprising:
Be configured to the image data source of storage of collected data;
Be configured to the secure source of storage security factor;
Processor, described processor is connected to described image data source and described secure source, and is configured to:
Various types of data is produced based on described image data;
Described Various types of data is assessed based on described safety factor;
From described Various types of data, factor of safety value is calculated based on described safety factor; With
Steering order is produced based on described factor of safety value; With
Display device, described display device is connected to described processor, and is configured to receive described factor of safety value, described steering order and produce user based on described steering order show information.
8., for a system for early warning electrical fire, comprising:
Be configured to receive described Various types of data from user;
Be configured to the data source storing described Various types of data;
Be configured to receive described safety factor from user;
Be configured to the secure source of storage security factor;
Processor, described processor is connected to described user interface, described data source and described secure source, and is configured to:
Generation Various types of data is received based on described user;
Described Various types of data is assessed based on described safety factor;
From described Various types of data, factor of safety value is calculated based on described safety factor; With
Steering order is produced based on described factor of safety value; With
Display device, described display device is connected to described processor, and is configured to receive described factor of safety value, described steering order and produce user based on described steering order show information.
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| CN201610028662.9A CN105488940A (en) | 2016-01-18 | 2016-01-18 | System and method for performing early-warning on electric fire based on safety factors |
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| CN201610028662.9A CN105488940A (en) | 2016-01-18 | 2016-01-18 | System and method for performing early-warning on electric fire based on safety factors |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107045762A (en) * | 2017-04-14 | 2017-08-15 | 重庆和航科技股份有限公司 | Electrical fire remotely monitors dynamic early-warning method and system |
| CN108335449A (en) * | 2018-01-25 | 2018-07-27 | 江苏昂内斯电力科技股份有限公司 | A kind of electrical fire interconnected monitoring system based on cloud platform |
| CN109215275A (en) * | 2018-10-18 | 2019-01-15 | 国网山东省电力公司应急管理中心 | A kind of fire monitoring method for early warning based on temperature data in grid operation |
| CN112542016A (en) * | 2020-11-30 | 2021-03-23 | 南京林业大学 | Forest fire prevention intelligent monitoring system and method based on big data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1838161A (en) * | 2005-03-23 | 2006-09-27 | 大亚湾核电运营管理有限责任公司 | Method and apparatus for nuclear power station equipment risk evaluation by computer |
| CN101079177A (en) * | 2007-06-27 | 2007-11-28 | 山西通威消防电子有限公司 | Cascade type electric appliance fire alarming and control device |
| CN102324064A (en) * | 2011-08-25 | 2012-01-18 | 陈�光 | Dynamic fire risk assessment method and system based on sensor tape |
| CN104766433A (en) * | 2015-04-23 | 2015-07-08 | 河南理工大学 | Electrical fire warning system based on data fusion |
| CN104794845A (en) * | 2015-05-04 | 2015-07-22 | 安徽大学 | Forest fire alarming method based on fire danger rating forecast |
-
2016
- 2016-01-18 CN CN201610028662.9A patent/CN105488940A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1838161A (en) * | 2005-03-23 | 2006-09-27 | 大亚湾核电运营管理有限责任公司 | Method and apparatus for nuclear power station equipment risk evaluation by computer |
| CN101079177A (en) * | 2007-06-27 | 2007-11-28 | 山西通威消防电子有限公司 | Cascade type electric appliance fire alarming and control device |
| CN102324064A (en) * | 2011-08-25 | 2012-01-18 | 陈�光 | Dynamic fire risk assessment method and system based on sensor tape |
| CN104766433A (en) * | 2015-04-23 | 2015-07-08 | 河南理工大学 | Electrical fire warning system based on data fusion |
| CN104794845A (en) * | 2015-05-04 | 2015-07-22 | 安徽大学 | Forest fire alarming method based on fire danger rating forecast |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107045762A (en) * | 2017-04-14 | 2017-08-15 | 重庆和航科技股份有限公司 | Electrical fire remotely monitors dynamic early-warning method and system |
| CN107045762B (en) * | 2017-04-14 | 2023-08-11 | 重庆和航科技股份有限公司 | Electric fire remote monitoring dynamic early warning method and system |
| CN108335449A (en) * | 2018-01-25 | 2018-07-27 | 江苏昂内斯电力科技股份有限公司 | A kind of electrical fire interconnected monitoring system based on cloud platform |
| CN109215275A (en) * | 2018-10-18 | 2019-01-15 | 国网山东省电力公司应急管理中心 | A kind of fire monitoring method for early warning based on temperature data in grid operation |
| CN112542016A (en) * | 2020-11-30 | 2021-03-23 | 南京林业大学 | Forest fire prevention intelligent monitoring system and method based on big data |
| CN112542016B (en) * | 2020-11-30 | 2022-03-04 | 南京林业大学 | Forest fire prevention intelligent monitoring system and method based on big data |
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