CN111325940B - Transformer substation fire-fighting intelligent linkage method and system based on fuzzy theory - Google Patents
Transformer substation fire-fighting intelligent linkage method and system based on fuzzy theory Download PDFInfo
- Publication number
- CN111325940B CN111325940B CN202010121607.0A CN202010121607A CN111325940B CN 111325940 B CN111325940 B CN 111325940B CN 202010121607 A CN202010121607 A CN 202010121607A CN 111325940 B CN111325940 B CN 111325940B
- Authority
- CN
- China
- Prior art keywords
- fire
- fighting
- monitoring data
- linkage
- state monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000012544 monitoring process Methods 0.000 claims abstract description 134
- 230000009471 action Effects 0.000 claims abstract description 76
- 238000011161 development Methods 0.000 claims abstract description 20
- 238000011084 recovery Methods 0.000 claims abstract description 11
- 238000002485 combustion reaction Methods 0.000 claims description 58
- 230000008569 process Effects 0.000 claims description 23
- 239000000463 material Substances 0.000 claims description 21
- 230000007480 spreading Effects 0.000 claims description 19
- 238000003892 spreading Methods 0.000 claims description 19
- 238000010586 diagram Methods 0.000 claims description 18
- 230000001133 acceleration Effects 0.000 claims description 11
- 238000009792 diffusion process Methods 0.000 claims description 10
- 239000000779 smoke Substances 0.000 claims description 8
- RNFJDJUURJAICM-UHFFFAOYSA-N 2,2,4,4,6,6-hexaphenoxy-1,3,5-triaza-2$l^{5},4$l^{5},6$l^{5}-triphosphacyclohexa-1,3,5-triene Chemical compound N=1P(OC=2C=CC=CC=2)(OC=2C=CC=CC=2)=NP(OC=2C=CC=CC=2)(OC=2C=CC=CC=2)=NP=1(OC=1C=CC=CC=1)OC1=CC=CC=C1 RNFJDJUURJAICM-UHFFFAOYSA-N 0.000 claims description 5
- 239000003063 flame retardant Substances 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 206010063385 Intellectualisation Diseases 0.000 abstract description 6
- 238000004590 computer program Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 230000006872 improvement Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000012806 monitoring device Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 206010000369 Accident Diseases 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
- G08B7/064—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources indicating houses needing emergency help, e.g. with a flashing light or sound
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
- G08B7/066—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources guiding along a path, e.g. evacuation path lighting strip
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a transformer substation fire-fighting intelligent linkage method and a transformer substation fire-fighting intelligent linkage system based on a fuzzy theory, wherein the method comprises the following steps: acquiring state monitoring data of main equipment of a transformer substation; acquiring state monitoring data of a fire monitoring sensor; estimating the development trend of the fire behavior based on a fuzzy theory according to the state monitoring data of the main equipment of the transformer substation and the state monitoring data of the fire monitoring sensor, and generating fire-fighting linkage decision information; sending out an alarm according to the fire-fighting linkage decision information; acquiring state monitoring data of security equipment; opening doors on the evacuation path and closing the fireproof door according to the fire-fighting linkage decision information; performing fire extinguishing action according to the fire-fighting linkage decision information; and storing the rules of the event trigger condition, the event action interrupt and the event action recovery condition by a rule base. The invention can meet the requirements of the development of fire-fighting equipment and fire-fighting safety measures of the transformer substation towards automation and intellectualization.
Description
Technical Field
The invention belongs to the technical field of transformer substation fire protection, and particularly relates to a transformer substation fire protection intelligent linkage method and system based on a fuzzy theory.
Background
Fire safety monitoring and the handling of fire accidents are usually a complex system engineering; when a fire occurs, the danger degree of the fire needs to be judged, the expected fire spreading process is predicted, and then various devices such as fire fighting, security protection and video are jointly driven, so that effective measures such as fire alarm, personnel evacuation and automatic fire extinguishing can be effectively realized, and the loss of the fire is reduced to the minimum.
The existing substation fire alarm system does not generally have the function of predicting the fire spreading process, is difficult to realize effective information data interaction and linkage with security protection, videos and other systems in the substation, and is difficult to meet the requirements of development of fire-fighting equipment and fire-fighting safety measures of the substation towards automation and intellectualization.
In summary, a new transformer substation fire protection intelligent linkage method and system based on the fuzzy theory are needed urgently.
Disclosure of Invention
The invention aims to provide a transformer substation fire protection intelligent linkage method and system based on a fuzzy theory so as to solve one or more technical problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention discloses a transformer substation fire-fighting intelligent linkage method based on a fuzzy theory, which comprises the following steps:
acquiring state monitoring data of main equipment of a transformer substation; the transformer substation main equipment comprises a transformer;
acquiring state monitoring data of a fire monitoring sensor; wherein, the fire monitoring sensor comprises a smoke sensor and a temperature measuring cable;
estimating the development trend of the fire behavior based on a fuzzy theory according to the state monitoring data of the main equipment of the transformer substation and the state monitoring data of the fire monitoring sensor, and generating fire-fighting linkage decision information; the fire-fighting linkage decision information comprises alarm, evacuation guidance and fire-fighting decision information;
sending out an alarm according to the fire-fighting linkage decision information; acquiring state monitoring data of security equipment; the security equipment comprises an entrance guard and an electronic fence; opening doors on the evacuation path and closing the fireproof door according to the fire-fighting linkage decision information; performing fire extinguishing action according to the fire-fighting linkage decision information;
the method comprises the steps of storing an event triggering condition, an event action interruption and an event action recovery condition rule through a rule base, judging whether to trigger according to acquired substation main equipment state monitoring data and fire monitoring sensor state monitoring data by the event triggering condition rule, judging whether to interrupt according to fire extinguishing action feedback by the event action interruption condition rule, and judging whether to recover according to the fire extinguishing action feedback by the event action recovery condition rule.
The invention further improves the method and also comprises the following steps: and starting emergency lighting and fire evacuation indication lamps according to the fire-fighting linkage decision information.
The invention further improves the method and also comprises the following steps: and displaying the video image of the event area according to the fire-fighting linkage decision information.
According to the further improvement of the invention, the method for generating the fire-fighting linkage decision information by predicting the development trend of fire based on the fuzzy theory according to the state monitoring data of the substation main equipment and the state monitoring data of the fire-fighting monitoring sensor comprises the following steps:
deducing a fire spreading process according to a fuzzy theory according to the state monitoring data of the substation main equipment and the state monitoring data of the fire monitoring sensor to obtain time and position information of fire spreading;
judging a logic rule according to the time and position information of fire spread and event triggering conditions in a rule base, judging whether to trigger event actions and what event actions to trigger, and generating fire-fighting linkage decision information;
triggering and controlling linkage event actions according to the fire-fighting linkage decision information;
all initiated actions and execution conditions of the actions are recorded.
The further improvement of the invention, the estimating of the development trend of the fire based on the fuzzy theory, comprises:
obtaining materials and positions of buildings and equipment in a transformer substation;
abstracting equipment and buildings into independent combustible points, and abstracting a transformer substation scene into a combustion area diagram; wherein, the circle represents the combustible point, the combustible point includes three states of unburnt, fire intensity increase and full combustion; the line segment between the circles indicates the diffusible path, and the time of combustion diffusion is indicated by the line segment value;
when a fire disaster occurs, setting a combustible point which is burnt and the state of the combustible point according to the state monitoring data of the fire monitoring sensor;
according to the constructed combustion area diagram, the fire development trend of a single combustion point is calculated, the calculation expression is as follows,
wherein k (t) is a time-varying random perturbation factor;
a represents a combustion point acceleration factor, and a ═ k1k2dV2(ii) a Wherein k is1Is the combustion point material factor, k2Is a fire element factor, d is an air humidity factor, and V is the current wind speed;
b is the diffusion path acceleration factor and,
wherein k is3Is the material factor of the combustion propagation path, d is the air humidity factor, VHIs the current wind speed in the direction of propagation;
r is the weight of the propagation path: r ═ d1Kr; wherein d is1The distance between two combustion points, Kr is the flame retardant coefficient related to the material;
when s (t) is greater than R, the adjacent combustion point is considered ignited; wherein, if S (t) of one path is larger than the weight of the propagation path in the combustion area map, the combustion point is considered to be ignited.
The invention relates to a transformer substation fire-fighting intelligent linkage system based on a fuzzy theory, which comprises:
the main equipment monitoring module is used for acquiring state monitoring data of the main equipment of the transformer substation; the transformer substation main equipment comprises a transformer;
the fire monitoring module is used for acquiring state monitoring data of the fire monitoring sensor; wherein, the fire monitoring sensor comprises a smoke sensor and a temperature measuring cable;
the intelligent linkage module is used for predicting the development trend of fire based on a fuzzy theory according to the state monitoring data of the main equipment of the transformer substation and the state monitoring data of the fire monitoring sensor and generating fire-fighting linkage decision information; the fire-fighting linkage decision information comprises alarm, evacuation guidance and fire-fighting decision information;
the alarm module is used for sending out an alarm according to the fire-fighting linkage decision information;
the security module is used for acquiring state monitoring data of security equipment; the security equipment comprises an entrance guard and an electronic fence; opening doors on the evacuation path and closing the fireproof door according to the fire-fighting linkage decision information;
the fire-fighting module is used for carrying out fire-fighting action according to the fire-fighting linkage decision information;
the rule base is used for storing event triggering conditions, event action interruption and event action recovery condition rules, the event triggering condition rules judge whether triggering is carried out according to the acquired state monitoring data of the substation main equipment and the state monitoring data of the fire monitoring sensor, the event action interruption condition rules judge whether interruption is carried out according to fire extinguishing action feedback, and the event action recovery condition rules judge whether recovery is carried out according to the fire extinguishing action feedback.
The invention further improves the method and also comprises the following steps: and the lighting module is used for starting emergency lighting and fire evacuation indication lighting according to the fire-fighting linkage decision information.
The invention further improves the method and also comprises the following steps: and the video monitoring module is used for displaying the video image of the event area according to the fire-fighting linkage decision information.
In a further improvement of the present invention, the intelligent linkage module comprises:
the fire spreading process deduction submodule is used for deducting the fire spreading process according to the state monitoring data of the substation main equipment and the state monitoring data of the fire monitoring sensor and the fuzzy theory to obtain time and position information of fire spreading;
the linkage decision sub-module is used for judging a logic rule according to the time and the position information of fire spread and event triggering conditions in the rule base, judging whether to trigger event actions and what event actions to trigger, and generating fire-fighting linkage decision information;
the action execution process monitoring submodule is used for triggering and controlling the action of the linkage event according to the fire-fighting linkage decision information;
and the event log submodule is used for recording all initiated actions and the execution condition of the actions.
The further improvement of the invention, in the intelligent linkage module, the estimating of the development trend of the fire based on the fuzzy theory comprises:
obtaining materials and positions of buildings and equipment in a transformer substation;
abstracting equipment and buildings into independent combustible points, and abstracting a transformer substation scene into a combustion area diagram; wherein, the circle represents the combustible point, the combustible point includes three states of unburnt, fire intensity increase and full combustion; the line segment between the circles indicates the diffusible path, and the time of combustion diffusion is indicated by the line segment value;
when a fire disaster occurs, setting a combustible point which is burnt and the state of the combustible point according to the state monitoring data of the fire monitoring sensor;
according to the constructed combustion area diagram, the fire development trend of a single combustion point is calculated, the calculation expression is as follows,
wherein k (t) is a time-varying random perturbation factor;
a represents a combustion point acceleration factor, and a ═ k1k2dV2(ii) a Wherein k is1Is the combustion point material factor, k2Is a fire element factor, d is an air humidity factor, and V is the current wind speed;
b is the diffusion path acceleration factor and,
wherein k is3Is the material factor of the combustion propagation path, d is the air humidity factor, VHIs the current wind speed in the direction of propagation;
r is the weight of the propagation path: r ═ d1Kr; wherein d is1The distance between two combustion points, Kr is the flame retardant coefficient related to the material;
when s (t) is greater than R, the adjacent combustion point is considered ignited; wherein, if S (t) of one path is larger than the weight of the propagation path in the combustion area map, the combustion point is considered to be ignited.
Compared with the prior art, the invention has the following beneficial effects:
the intelligent transformer substation fire protection linkage system based on the fuzzy theory can predict the fire spreading process based on the fuzzy theory, organically combines the main equipment monitoring equipment, the fire protection monitoring equipment, the security equipment, the alarm equipment, the fire protection and extinguishing equipment, the lighting equipment and the video monitoring equipment through the intelligent linkage module, can realize intelligent linkage of various equipment, jointly realize monitoring of fire in a transformer substation and automation and intellectualization of fire extinguishing and personnel evacuation during fire accidents, and can meet the requirements of development of the fire protection equipment and fire protection safety measures of the transformer substation towards automation and intellectualization.
The method can predict the fire spreading process based on the fuzzy theory, organically combine the main equipment monitoring equipment, the fire-fighting monitoring equipment, the security and protection equipment, the alarm equipment, the fire-fighting equipment, the lighting equipment and the video monitoring equipment through the intelligent linkage module, realize the intelligent linkage of various equipment, and jointly realize the monitoring of fire alarm in the transformer substation and the automation and intellectualization of fire extinguishment and personnel evacuation in case of fire alarm accidents.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art are briefly introduced below; it is obvious that the drawings in the following description are some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic structural diagram of a transformer substation fire protection intelligent linkage system based on a fuzzy theory according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of a transformer substation fire protection intelligent linkage method based on a fuzzy theory according to an embodiment of the invention;
FIG. 3 is a combustion zone map for an embodiment of the present invention.
Detailed Description
In order to make the purpose, technical effect and technical solution of the embodiments of the present invention clearer, the following clearly and completely describes the technical solution of the embodiments of the present invention with reference to the drawings in the embodiments of the present invention; it is to be understood that the described embodiments are only some of the embodiments of the present invention. Other embodiments, which can be derived by one of ordinary skill in the art from the disclosed embodiments without inventive faculty, are intended to be within the scope of the invention.
Referring to fig. 1, a transformer substation fire protection intelligent linkage system based on a fuzzy theory according to an embodiment of the present invention includes: main equipment monitoring module, fire control monitoring module, security protection module, alarm module, fire control module, lighting module, video monitoring module, intelligent linkage module and 9 modules in rule base, wherein:
(1.1) the main equipment monitoring module is deployed in a safety I area of the power system, and is responsible for acquiring state monitoring data of main equipment such as a transformer in real time and uploading the state monitoring data to the intelligent linkage module through a firewall;
(1.2) the fire-fighting monitoring module is deployed in a safety area II of the power system and is responsible for acquiring state monitoring data of fire-fighting monitoring sensors such as smoke detectors and temperature measuring cables in real time and uploading the state monitoring data to the intelligent linkage module;
(1.3) the security module is deployed in a security II area of the power system and is responsible for acquiring state monitoring data of security equipment such as an entrance guard, an electronic fence and the like in real time and uploading the data to the intelligent linkage module; control signals of opening/closing the door and the like of the intelligent linkage module are sent to security equipment such as a door guard and the like, so that the operations of opening/closing the door and the like are realized;
(1.4) the alarm module is deployed in a safety area II of the power system and is responsible for acquiring alarm decision information from the intelligent linkage module, issuing the alarm decision information to alarm equipment such as an audible and visual alarm and distributing the alarm information to users such as an operation and maintenance team and a city company;
(1.5) the fire-fighting module is in charge of acquiring fire-fighting action information from the intelligent linkage module in a safety area II of the power system, transmitting the fire-fighting action information to corresponding fire-fighting equipment, and performing actions such as power supply cut-off, fire extinguisher starting and the like;
(1.6) the lighting module is in the safety area II of the power system and is responsible for acquiring fire alarm information from the intelligent linkage module and controlling the emergency lighting device to start the actions of emergency lighting, fire evacuation indication lighting and the like;
(1.7) deploying the video monitoring module in a safe IV area of the power system, acquiring a fire alarm event and a fire extinguishing action triggering position from the intelligent linkage module, and moving a camera to display a video image of a corresponding area in real time;
(1.8) the intelligent linkage module based on the fuzzy theory is deployed in a safety area II of the power system, and is responsible for integrating the state monitoring data of the main equipment obtained from the main equipment monitoring module and the state monitoring data of the fire monitoring sensor obtained from the fire monitoring module, deducing a fire spreading process according to a fuzzy theory algorithm, further triggering and controlling linkage event actions, and respectively issuing the linkage event actions to the security module, the alarm module, the fire extinguishing module, the lighting module and the video monitoring module;
and (1.9) the rule base is deployed in a safety II area of the power system and is responsible for storing the rules of event triggering conditions, event action interruption and event action recovery conditions.
(2) The intelligent linkage module based on the fuzzy theory comprises a fire spread process deduction submodule, a linkage decision submodule, an action execution process monitoring submodule and an event log submodule, wherein the four submodules are as follows:
(2.1) the fire spreading process deduction submodule is responsible for deducting the fire spreading process according to a fuzzy theory and sending the time and position information of fire spreading to the linkage decision submodule, wherein the main equipment state monitoring data are acquired from the main equipment monitoring module, and the auxiliary equipment state monitoring data are acquired from the auxiliary equipment monitoring module;
(2.2) the linkage decision sub-module is responsible for comprehensively acquiring the time and position information of fire spread from the fire spread process deduction sub-module, judging a logic rule according to an event triggering condition in the rule base, and judging whether to trigger an event action and what kind of event action to trigger;
(2.3) the action execution process monitoring submodule is responsible for triggering and controlling linkage event actions and respectively sends the linkage event actions to the security module, the alarm module, the fire-fighting and extinguishing module, the lighting module and the video monitoring module;
and (2.4) the event log submodule is responsible for recording all initiated actions and the execution conditions of the actions.
Referring to fig. 2, a transformer substation fire protection intelligent linkage method based on a fuzzy theory according to an embodiment of the present invention includes:
(3.1) the fire monitoring module acquires state monitoring data of fire monitoring sensors such as smoke sensors, temperature measuring cables and the like;
(3.2) when a fire alarm occurs, the fire monitoring module reports the fire alarm information to the intelligent linkage module;
(3.3) the intelligent linkage module is combined with the fire alarm information reported by the fire monitoring module, the main equipment state information reported by the main equipment monitoring module and information such as the materials and positions of the building and equipment of the transformer substation, estimates the development trend of the fire based on a fuzzy theory and generates fire-fighting linkage decisions such as warning, evacuation guidance and fire extinguishment;
(3.4) the intelligent linkage module transfers the alarm module to give out sound-light alarm according to the development area of the predicted fire;
(3.5) the intelligent linkage module moves a camera of the video module to display the video image of the corresponding area in real time;
(3.6) the intelligent linkage module moves the lighting module to start emergency lighting and fire-fighting evacuation indication lights;
(3.7) the intelligent linkage module moves the security module to open a door on an evacuation path and close a fireproof door;
and (3.8) the intelligent linkage module moves the fire-fighting module to perform actions such as power cut-off, fire extinguisher start and the like.
Optionally, the step (3.3) specifically includes:
(3.3.1) the fire spread process deduction submodule estimates the fire development trend;
(3.3.2) the linkage decision submodule generates an alarm, guides evacuation and extinguishment fire-fighting linkage decision;
(3.3.3) the action process monitoring submodule triggers and controls linkage event actions and sends the linkage event actions to the security module, the alarm module, the fire-fighting and extinguishing module, the lighting module and the video monitoring module respectively;
and (3.3.4) the event log submodule is responsible for recording all initiated actions and the execution condition of the actions.
Referring to fig. 3, optionally, the method for estimating the fire trend based on the fuzzy theory specifically includes:
(4.1) acquiring materials and positions of buildings and equipment in the transformer substation;
(4.2) abstracting equipment and buildings into independent combustible points, and abstracting a substation scene as shown in a combustion area diagram of FIG. 3; wherein, the circle represents the flammable point, the flammable point includes three kinds of states of unburnt, fire intensity is increased and fully burnt, the line segment between the circles marks and represents the diffusible route, represent the time of the diffusion of burning with the line segment value;
(4.3) when a fire disaster occurs, setting the combustible point which is burnt and the state thereof according to the state monitoring data of the fire monitoring sensors such as smoke detection and temperature measuring cables acquired by the fire monitoring module;
and (4.4) estimating the trend of the fire of the single combustion point based on the following formula according to the constructed combustion area map.
Wherein k (t) is a time-varying random perturbation factor;
a represents the acceleration factor of the combustion point,
a＝k1k2dV2
wherein k is1Is the combustion point material factor, k2Is a fire element factor, d is an air humidity factor, and V is the current wind speed.
b is the diffusion path acceleration factor and,
wherein k is3Is the material factor of the combustion propagation path, d is the air humidity factor, VHIs the current in the direction of propagationWind speed;
r is the weight of the propagation path:
R＝d1Kr
wherein d is1The distance between two combustion points, Kr is the flame retardant coefficient related to the material;
(4.5) when S (t) is greater than R, the adjacent burning point is considered to be ignited, if the S (t) of one path is greater than the weight of the propagation path in the burning region graph when the S (t) of the path is propagated from a plurality of paths simultaneously, the burning point is considered to be ignited;
(4.6) and so on until the deduction of the whole combustion area map is completed;
(4.7) after a fixed time interval, correcting the combustible point which is burnt and the state thereof according to the acquired state monitoring data of the fire monitoring sensors such as smoke detector, temperature measuring cable and the like acquired by the fire monitoring module; repeating the steps 3-6 to correct the deduction of the whole combustion area map.
In summary, the invention provides a transformer substation fire protection intelligent linkage method and system based on a fuzzy theory, which can predict a fire spreading process based on the fuzzy theory, organically combine a main device monitoring device, a fire protection monitoring device, a security protection device, an alarm device, a fire protection and extinguishing device, an illumination device and a video monitoring device through an intelligent linkage module, realize intelligent linkage of various devices, and jointly realize monitoring of fire alarms in a transformer substation and automation and intellectualization of fire extinguishment and personnel evacuation during fire alarm accidents.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can make modifications and equivalents to the embodiments of the present invention without departing from the spirit and scope of the present invention, which is set forth in the claims of the present application.
Claims (8)
1. A transformer substation fire protection intelligent linkage method based on a fuzzy theory is characterized by comprising the following steps:
acquiring state monitoring data of main equipment of a transformer substation; the transformer substation main equipment comprises a transformer;
acquiring state monitoring data of a fire monitoring sensor; wherein, the fire monitoring sensor comprises a smoke sensor and a temperature measuring cable;
estimating the development trend of the fire behavior based on a fuzzy theory according to the state monitoring data of the main equipment of the transformer substation and the state monitoring data of the fire monitoring sensor, and generating fire-fighting linkage decision information; the fire-fighting linkage decision information comprises alarm, evacuation guidance and fire-fighting decision information;
sending out an alarm according to the fire-fighting linkage decision information; acquiring state monitoring data of security equipment; the security equipment comprises an entrance guard and an electronic fence; opening doors on the evacuation path and closing the fireproof door according to the fire-fighting linkage decision information; performing fire extinguishing action according to the fire-fighting linkage decision information;
the method comprises the steps that an event triggering condition, an event action interruption condition and an event action recovery condition rule are stored through a rule base, the event triggering condition rule judges whether to trigger according to acquired substation main equipment state monitoring data and fire monitoring sensor state monitoring data, the event action interruption condition rule judges whether to interrupt according to fire extinguishing action feedback, and the event action recovery condition rule judges whether to recover according to the fire extinguishing action feedback;
wherein, the trend of the fire is estimated based on the fuzzy theory, which comprises the following steps:
obtaining materials and positions of buildings and equipment in a transformer substation;
abstracting equipment and buildings into independent combustible points, and abstracting a transformer substation scene into a combustion area diagram; wherein, the circle represents the combustible point, the combustible point includes three states of unburnt, fire intensity increase and full combustion; the line segment between the circles indicates the diffusible path, and the time of combustion diffusion is indicated by the line segment value;
when a fire disaster occurs, setting a combustible point which is burnt and the state of the combustible point according to the state monitoring data of the fire monitoring sensor;
according to the constructed combustion area diagram, the fire development trend of a single combustion point is calculated, the calculation expression is as follows,
wherein k (t) is a time-varying random perturbation factor; t is tmaxA full ignition time;
a represents a combustion point acceleration factor, and a ═ k1k2dV2(ii) a Wherein k is1Is the combustion point material factor, k2Is a fire element factor, d is an air humidity factor, and V is the current wind speed;
b is the diffusion path acceleration factor and,
wherein k is3Is the material factor of the combustion propagation path, d is the air humidity factor, VHIs the current wind speed in the direction of propagation;
r is the weight of the propagation path: r ═ d1Kr; wherein d is1The distance between two combustion points, Kr is the flame retardant coefficient related to the material;
when s (t) is greater than R, the adjacent combustion point is considered ignited; wherein, if S (t) of one path is larger than the weight of the propagation path in the combustion area map, the combustion point is considered to be ignited.
2. The intelligent substation fire protection linkage method based on the fuzzy theory as claimed in claim 1, further comprising:
and starting emergency lighting and fire evacuation indication lamps according to the fire-fighting linkage decision information.
3. The intelligent substation fire protection linkage method based on the fuzzy theory as claimed in claim 1, further comprising:
and displaying the video image of the event area according to the fire-fighting linkage decision information.
4. The intelligent substation fire protection linkage method based on the fuzzy theory as claimed in claim 1, wherein the step of generating fire protection linkage decision information based on the fuzzy theory predicted fire development trend according to the substation main equipment state monitoring data and the fire protection monitoring sensor state monitoring data comprises the steps of:
deducing a fire spreading process according to a fuzzy theory according to the state monitoring data of the substation main equipment and the state monitoring data of the fire monitoring sensor to obtain time and position information of fire spreading;
judging a logic rule according to the time and position information of fire spread and event triggering conditions in a rule base, judging whether to trigger event actions and what event actions to trigger, and generating fire-fighting linkage decision information;
triggering and controlling linkage event actions according to the fire-fighting linkage decision information;
all initiated actions and execution conditions of the actions are recorded.
5. The utility model provides a transformer substation fire control intelligence coordinated system based on fuzzy theory which characterized in that includes:
the main equipment monitoring module is used for acquiring state monitoring data of the main equipment of the transformer substation; the transformer substation main equipment comprises a transformer;
the fire monitoring module is used for acquiring state monitoring data of the fire monitoring sensor; wherein, the fire monitoring sensor comprises a smoke sensor and a temperature measuring cable;
the intelligent linkage module is used for predicting the development trend of fire based on a fuzzy theory according to the state monitoring data of the main equipment of the transformer substation and the state monitoring data of the fire monitoring sensor and generating fire-fighting linkage decision information; the fire-fighting linkage decision information comprises alarm, evacuation guidance and fire-fighting decision information;
the alarm module is used for sending out an alarm according to the fire-fighting linkage decision information;
the security module is used for acquiring state monitoring data of security equipment; the security equipment comprises an entrance guard and an electronic fence; opening doors on the evacuation path and closing the fireproof door according to the fire-fighting linkage decision information;
the fire-fighting module is used for carrying out fire-fighting action according to the fire-fighting linkage decision information;
the rule base is used for storing the rules of event triggering conditions, event action interruption and event action recovery conditions; the event triggering condition rule judges whether to trigger according to the acquired state monitoring data of the substation main equipment and the state monitoring data of the fire monitoring sensor, the event action interruption condition rule judges whether to interrupt according to fire extinguishing action feedback, and the event action recovery condition rule judges whether to recover according to the fire extinguishing action feedback;
wherein, among the intelligent linkage module, based on the development trend of fuzzy theory prediction fire behavior, include:
obtaining materials and positions of buildings and equipment in a transformer substation;
abstracting equipment and buildings into independent combustible points, and abstracting a transformer substation scene into a combustion area diagram; wherein, the circle represents the combustible point, the combustible point includes three states of unburnt, fire intensity increase and full combustion; the line segment between the circles indicates the diffusible path, and the time of combustion diffusion is indicated by the line segment value;
when a fire disaster occurs, setting a combustible point which is burnt and the state of the combustible point according to the state monitoring data of the fire monitoring sensor;
according to the constructed combustion area diagram, the fire development trend of a single combustion point is calculated, the calculation expression is as follows,
wherein k (t) is a time-varying random perturbation factor; t is tmaxA full ignition time;
a represents a combustion point acceleration factor, and a ═ k1k2dV2(ii) a Wherein k is1Is the combustion point material factor, k2Is a fire element factor, d is an air humidity factor, and V is the current wind speed;
b is a diffusion pathThe acceleration factor is determined by the radial acceleration factor,
wherein k is3Is the material factor of the combustion propagation path, d is the air humidity factor, VHIs the current wind speed in the direction of propagation;
r is the weight of the propagation path: r ═ d1Kr; wherein d is1The distance between two combustion points, Kr is the flame retardant coefficient related to the material;
when s (t) is greater than R, the adjacent combustion point is considered ignited; wherein, if S (t) of one path is larger than the weight of the propagation path in the combustion area map, the combustion point is considered to be ignited.
6. The intelligent substation fire protection linkage system based on the fuzzy theory as claimed in claim 5, further comprising:
and the lighting module is used for starting emergency lighting and fire evacuation indication lighting according to the fire-fighting linkage decision information.
7. The intelligent substation fire protection linkage system based on the fuzzy theory as claimed in claim 5, further comprising:
and the video monitoring module is used for displaying the video image of the event area according to the fire-fighting linkage decision information.
8. The substation fire-fighting intelligent linkage system based on the fuzzy theory as claimed in claim 5, wherein the intelligent linkage module comprises:
the fire spreading process deduction submodule is used for deducting the fire spreading process according to the state monitoring data of the substation main equipment and the state monitoring data of the fire monitoring sensor and the fuzzy theory to obtain time and position information of fire spreading;
the linkage decision sub-module is used for judging a logic rule according to the time and the position information of fire spread and event triggering conditions in the rule base, judging whether to trigger event actions and what event actions to trigger, and generating fire-fighting linkage decision information;
the action execution process monitoring submodule is used for triggering and controlling the action of the linkage event according to the fire-fighting linkage decision information;
and the event log submodule is used for recording all initiated actions and the execution condition of the actions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010121607.0A CN111325940B (en) | 2020-02-26 | 2020-02-26 | Transformer substation fire-fighting intelligent linkage method and system based on fuzzy theory |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010121607.0A CN111325940B (en) | 2020-02-26 | 2020-02-26 | Transformer substation fire-fighting intelligent linkage method and system based on fuzzy theory |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111325940A CN111325940A (en) | 2020-06-23 |
| CN111325940B true CN111325940B (en) | 2021-09-14 |
Family
ID=71173065
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010121607.0A Active CN111325940B (en) | 2020-02-26 | 2020-02-26 | Transformer substation fire-fighting intelligent linkage method and system based on fuzzy theory |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111325940B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112652140A (en) * | 2020-11-24 | 2021-04-13 | 国网宁夏电力有限公司中卫供电公司 | Transformer substation security system |
| CN114392511B (en) * | 2022-01-18 | 2023-01-10 | 昆山帝森华途工业物联网科技有限公司 | Monitoring method and host system of automatic alarm electric fire extinguishing controller |
| CN115907241B (en) * | 2023-03-10 | 2023-06-20 | 广东广宇科技发展有限公司 | Building fire control resource investment prediction method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101833838A (en) * | 2010-05-27 | 2010-09-15 | 王巍 | Large-range fire disaster analyzing and early warning system |
| CN107688793A (en) * | 2017-09-05 | 2018-02-13 | 国网安徽省电力公司检修公司 | A kind of outside transformer substation fire automatic monitoring method for early warning |
| CN109670260A (en) * | 2018-12-27 | 2019-04-23 | 广东电网有限责任公司 | A kind of mountain fire sprawling Area Prediction method, apparatus and equipment |
| CN110752668A (en) * | 2019-10-25 | 2020-02-04 | 国网陕西省电力公司电力科学研究院 | Inspection system and inspection method for closed cabinet of transformer substation |
| CN110752673A (en) * | 2019-11-04 | 2020-02-04 | 国网浙江省电力有限公司嘉兴供电公司 | System and method for realizing intelligent linkage processing of main and auxiliary control of transformer substation based on event chain |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6873256B2 (en) * | 2002-06-21 | 2005-03-29 | Dorothy Lemelson | Intelligent building alarm |
| AU2004286360A1 (en) * | 2003-10-23 | 2005-05-12 | Terence Cole Martin | Improvement(s) related to particle monitors and method(s) therefor |
| CN101162545A (en) * | 2007-11-20 | 2008-04-16 | 华南理工大学 | Tall building fire light-temperature composite intelligent monitoring prediction device |
| CN106682580A (en) * | 2016-11-21 | 2017-05-17 | 云南电网有限责任公司电力科学研究院 | Forest fire predication method and system based on power transmission line forest fire image |
| CN107341942A (en) * | 2017-07-17 | 2017-11-10 | 苏州亚得宝消防设备有限公司 | A kind of fire alarm system |
| CN108939349B (en) * | 2018-06-15 | 2020-12-11 | 安徽美图信息科技有限公司 | Forest fire prevention rescue research and judgment method based on AI |
-
2020
- 2020-02-26 CN CN202010121607.0A patent/CN111325940B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101833838A (en) * | 2010-05-27 | 2010-09-15 | 王巍 | Large-range fire disaster analyzing and early warning system |
| CN107688793A (en) * | 2017-09-05 | 2018-02-13 | 国网安徽省电力公司检修公司 | A kind of outside transformer substation fire automatic monitoring method for early warning |
| CN109670260A (en) * | 2018-12-27 | 2019-04-23 | 广东电网有限责任公司 | A kind of mountain fire sprawling Area Prediction method, apparatus and equipment |
| CN110752668A (en) * | 2019-10-25 | 2020-02-04 | 国网陕西省电力公司电力科学研究院 | Inspection system and inspection method for closed cabinet of transformer substation |
| CN110752673A (en) * | 2019-11-04 | 2020-02-04 | 国网浙江省电力有限公司嘉兴供电公司 | System and method for realizing intelligent linkage processing of main and auxiliary control of transformer substation based on event chain |
Non-Patent Citations (1)
| Title |
|---|
| 《模糊数据挖掘技术支持下的林火蔓延模型选择研究》;肖化顺，张贵，刘大鹏，蔡学理;《北京林业大学学报》;20061130;第28卷(第6期);第93-97页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111325940A (en) | 2020-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111325940B (en) | Transformer substation fire-fighting intelligent linkage method and system based on fuzzy theory | |
| CN108295407B (en) | Robot cable pipe gallery on-site fire early warning and fire extinguishing method, device and system | |
| CN210278031U (en) | Intelligent fire extinguishing system for highway tunnel fire | |
| CN103830855B (en) | A kind of dynamic fire-fighting emergent evacuation indication system for large public building | |
| CN102908727B (en) | System and method for calculating safety escape route of building fire hazards | |
| CN107481472B (en) | Security and protection and fire protection linkage control method | |
| CN109794017A (en) | A kind of cable tunnel extinguishing method and system | |
| KR101703190B1 (en) | Management method of Fire | |
| CN105760966A (en) | Intelligent fire emergency evacuation method and system | |
| CN110752673A (en) | System and method for realizing intelligent linkage processing of main and auxiliary control of transformer substation based on event chain | |
| CN103218892A (en) | Fire detecting system capable of monitoring and recording fire by video and monitoring public security | |
| CN112885028A (en) | Emergency linkage disposal method for comprehensive pipe gallery | |
| CN112801457B (en) | Fire-fighting linkage method and system based on regional fire risk assessment | |
| CN111596637A (en) | Intelligent fire fighting management system and method | |
| CN111199625A (en) | Whole fire control safety intelligent system of building | |
| CN110893272A (en) | Tunnel and comprehensive pipe gallery intelligent fire-fighting robot, system and method | |
| KR20220071880A (en) | Digital twin disaster management system customized for underground public areas | |
| CN116052350A (en) | Fire disaster early warning and rescue system and method based on road-asking guiding navigation mode | |
| CN117408446A (en) | Intelligent fire safety management method and system | |
| CN116645775A (en) | Cloud platform fire alarm information response system | |
| CN103218891A (en) | Fire detecting system capable of monitoring and recording by video and flashing to alarm | |
| Khan et al. | Machine learning driven smart fire safety design of false ceiling and emergency response | |
| CN102568165B (en) | Comprehensive alarm method of fireproof space of nuclear power plant | |
| CN112650101A (en) | Intelligent road tunnel inspection robot system based on multi-dimensional sensing | |
| CN115154952A (en) | Vehicle fire prevention control method for underground garage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20221221 Address after: No.669, Hangtian Middle Road, Chang'an District, Xi'an City, Shaanxi Province Patentee after: STATE GRID SHAANXI ELECTRIC POWER Research Institute Patentee after: STATE GRID CORPORATION OF CHINA Patentee after: National Network (Xi'an) Environmental Protection Technology Center Co.,Ltd. Address before: No.669, Hangtian Middle Road, Chang'an District, Xi'an City, Shaanxi Province Patentee before: STATE GRID SHAANXI ELECTRIC POWER Research Institute Patentee before: STATE GRID CORPORATION OF CHINA |