CN112712664A - Electrical fire early warning method and system - Google Patents
Electrical fire early warning method and system Download PDFInfo
- Publication number
- CN112712664A CN112712664A CN202011581205.5A CN202011581205A CN112712664A CN 112712664 A CN112712664 A CN 112712664A CN 202011581205 A CN202011581205 A CN 202011581205A CN 112712664 A CN112712664 A CN 112712664A
- Authority
- CN
- China
- Prior art keywords
- electrical
- early warning
- fire
- abnormal condition
- analysis
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Alarm Systems (AREA)
Abstract
The application provides an electric fire early warning method and system, including: acquiring electrical perception data; preprocessing the electrical sensing data; performing fusion calculation analysis on the preprocessed electrical sensing data, and judging whether an electrical abnormal condition exists or not based on an analysis result; when an electrical abnormal condition exists, carrying out fuzzy reasoning on the electrical abnormal condition based on a pre-constructed fire history knowledge base to obtain an electrical fire research and judgment result; and sending out electric fire early warning information based on the electric fire research and judgment result, and formulating an emergency disposal scheme so that an emergency department carries out fire emergency treatment on the electric fire early warning information. The safety and reliability of the application are high.
Description
Technical Field
The application relates to the technical field of intelligent sensing, in particular to an electric fire early warning method and system.
Background
The fire disaster can cause great loss to the life and property safety of the nation and people, and can also generate adverse social influence, so that the early warning and prevention of the fire disaster are of great importance. Among the various causes of fire, the fire caused by electrical causes is the first in the fire in China, and the fire caused by electrical causes in the whole country accounts for about 40% of the total number of the fire according to statistics. Electrical fires can be triggered by problems with the electrical system itself, such as degradation of the devices, and by electrical system problems caused by improper use by the operator.
The existing electric fire prevention and control method generally comprises the steps of installing sensing equipment such as a smoke sensor, an environmental temperature sensor, a camera and the like, and detecting information in an environment by utilizing the sensors to find fire or abnormal conditions so as to take corresponding emergency measures.
However, the inventor of the present application finds that the existing method generally generates an alarm after the fire occurs, belongs to post-intervention, and still causes loss. And what detected is temperature and smog coefficient, can not carry out the early warning to electric system well, lead to the prevention and control effect poor. Namely, the prior art has the defect of low safety and reliability.
Disclosure of Invention
The application provides an electric fire early warning method and system, which aim to solve the problem of low safety and reliability in the prior art.
In order to solve the technical problem, the embodiment of the application discloses the following technical scheme:
in a first aspect, the present application provides an electrical fire early warning method, including:
acquiring electrical perception data;
preprocessing the electrical perception data;
performing fusion calculation analysis on the preprocessed electrical sensing data, and judging whether an electrical abnormal condition exists or not based on an analysis result;
when an electrical abnormal condition exists, carrying out fuzzy reasoning on the electrical abnormal condition based on a pre-constructed fire history knowledge base to obtain an electrical fire research and judgment result;
and sending out electric fire early warning information based on the electric fire research and judgment result, and formulating an emergency disposal scheme so that an emergency department can carry out fire emergency treatment on the electric fire early warning information.
Optionally, the electrical sensing data includes: electrical conductor temperature data, electrical parameter data, ambient temperature and smoke sensation data;
the electrical parameter data includes voltage, current, and leakage current of the electrical system.
Optionally, the electrical sensing data is preprocessed, including: and carrying out amplification processing and A/D conversion processing on the electrical perception data.
Optionally, the fusion calculation analysis includes: leakage current analysis, short circuit analysis and overload analysis;
the analysis result of the leakage current analysis indicates whether the leakage current abnormal condition exists or not;
the analysis result of the short circuit analysis is whether a short circuit abnormal condition exists or not;
and the analysis result of the overload analysis is whether the overload abnormal condition exists or not.
Optionally, the leakage current analysis includes:
counting a monitoring value and an early warning threshold value of leakage current; counting a monitoring value and an early warning threshold value of the temperature of the lead;
judging whether the monitoring value and the early warning threshold value of the leakage current and the monitoring value and the early warning threshold value of the temperature of the lead meet preset leakage current abnormal conditions, wherein the leakage current abnormal conditions are as follows:
Ileakage net＞ILeak 0And TConducting wire＞TConductor 0
Wherein:
Ileakage netMonitor value indicating leakage current, ILeak 0An early warning threshold representing leakage current;
Tconducting wireIndicating a monitored value of the temperature of the wire, TConductor 0An early warning threshold indicative of a wire temperature;
and when the leakage current abnormal condition is met, judging that the leakage current abnormal condition exists.
Optionally, the short circuit analysis includes:
counting the current change rate and the early warning threshold value of the current change rate;
judging whether the current change rate and the early warning threshold value of the current change rate meet a preset short circuit abnormal condition, wherein the short circuit abnormal condition is as follows:
wherein:
Irate of changeRepresenting the rate of change of current;
Δ T represents a unit time; Δ I represents the amount of current change per unit time;
Irate of change 0An early warning threshold indicative of a rate of change of current;
and when the short-circuit abnormal condition is met, determining that a short-circuit abnormal condition exists.
Optionally, the overload analysis includes:
counting a monitoring value of current, rated safe current-carrying capacity of a lead, a monitoring value of lead temperature and an early warning threshold value of lead temperature;
judging whether the monitored value of the current, the rated safe current-carrying capacity of the wire, the monitored value of the temperature of the wire and the early warning threshold value of the temperature of the wire meet preset overload abnormal conditions, wherein the overload abnormal conditions are as follows:
wherein:
i represents a monitored value of the current;
Irated valueThe rated safe current-carrying capacity of the lead is shown;
Tconducting wireA monitored value indicative of a temperature of the wire;
Tconductor 0An early warning threshold indicative of a wire temperature;
and when the overload abnormal condition is met, determining that the overload abnormal condition exists.
Optionally, the determining whether the electrical abnormal condition exists based on the analysis result includes:
respectively counting analysis results of leakage current analysis, short circuit analysis and overload analysis;
determining that an electrical anomaly exists if at least one of the leakage current anomaly, the short circuit anomaly, and the overload anomaly exists.
Optionally, the method further includes:
and storing the electrical fire research and judgment result, the electrical fire early warning information and the emergency disposal scheme into a fire history knowledge base so as to update the fire history knowledge base for early warning of the next electrical fire.
In a second aspect, the present application provides an electrical fire warning system, comprising:
an acquisition module configured to acquire electrical perception data;
a preprocessing module configured to preprocess the electrical perception data;
the abnormality judgment module is configured to perform fusion calculation analysis on the preprocessed electrical sensing data and judge whether an electrical abnormality exists based on an analysis result;
the fuzzy reasoning module is configured to perform fuzzy reasoning on the electrical abnormal condition based on a pre-constructed fire history knowledge base to obtain an electrical fire research and judgment result when the electrical abnormal condition exists;
and the early warning processing module is configured to send out electrical fire early warning information based on the electrical fire research and judgment result and formulate an emergency disposal scheme so that an emergency department can carry out fire emergency processing on the electrical fire early warning information.
Compared with the prior art, the beneficial effect of this application is:
the application provides an electric fire early warning method and system, including: acquiring electrical perception data; preprocessing the electrical sensing data; performing fusion calculation analysis on the preprocessed electrical sensing data, and judging whether an electrical abnormal condition exists or not based on an analysis result; when an electrical abnormal condition exists, carrying out fuzzy reasoning on the electrical abnormal condition based on a pre-constructed fire history knowledge base to obtain an electrical fire research and judgment result; and sending out electric fire early warning information based on the electric fire research and judgment result, and formulating an emergency disposal scheme so that an emergency department carries out fire emergency treatment on the electric fire early warning information. The method and the device can sense the data of the electrical system and further judge whether the electrical abnormal condition exists. And when the electrical abnormal condition exists, carrying out fuzzy reasoning to realize fire early warning. This application can be targeted carry out the early warning to electric fire, and fail safe nature is high.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is an overall flowchart of an electrical fire warning method according to an embodiment of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, an overall flowchart of an electrical fire early warning method provided in the embodiment of the present application is shown. As shown in fig. 1, the method comprises the steps of:
s1, acquiring electrical sensing data;
s2, preprocessing the electrical perception data;
s3, performing fusion calculation analysis on the preprocessed electrical sensing data, and judging whether an electrical abnormal condition exists or not based on an analysis result;
s4, when an electrical abnormal condition exists, carrying out fuzzy reasoning on the electrical abnormal condition based on a pre-constructed fire history knowledge base to obtain an electrical fire research and judgment result;
and S5, sending out electric fire early warning information based on the electric fire research and judgment result, and formulating an emergency disposal scheme so that an emergency department can carry out fire emergency treatment on the electric fire early warning information.
The individual steps are described in detail below:
in step S1, electrical sensing data is acquired.
Specifically, the electrical sensing data obtained in the embodiment of the present application includes: electrical lead temperature data, electrical parameter data, ambient temperature, and smoke sensation data.
The electrical parameter data is related parameters of the electrical system, including voltage, current, and leakage current.
In step S2, the electrical perception data is preprocessed.
Specifically, the pretreatment comprises the following steps: and carrying out amplification processing and A/D conversion processing on the electrical perception data.
In step S3, fusion calculation analysis is performed on the preprocessed electrical sensing data, and whether an electrical abnormality exists is determined based on the analysis result.
Specifically, the fusion calculation analysis in the embodiment of the present application includes: leakage current analysis, short circuit analysis and overload analysis.
The reason why the leakage current causes fire is that the insulation of the wires or the insulation capacity of the bracket material is reduced, so that part of current passes between the wires and between the lead and the ground, and the leaked current generates local high temperature when flowing into the ground, such as a part with larger resistance, so that nearby combustible materials catch fire, thereby causing fire. Therefore, the leakage current can be evaluated by combining the leakage current and the temperature of the wire.
The leakage current analysis specifically comprises:
and counting the monitoring value and the early warning threshold value of the leakage current, and counting the monitoring value and the early warning threshold value of the temperature of the lead.
And judging whether the monitoring value and the early warning threshold value of the leakage current and the monitoring value and the early warning threshold value of the temperature of the lead meet preset leakage current abnormal conditions or not.
The specific leakage current abnormal conditions are as follows:
Ileakage net＞ILeak 0And TConducting wire＞TConductor 0
Wherein:
Ileakage netMonitor value indicating leakage current, ILeak 0An early warning threshold representing leakage current;
Tconducting wireIndicating a monitored value of the temperature of the wire, TConductor 0An early warning threshold value representing the temperature of the wire.
And when the leakage current abnormal condition is met, judging that the leakage current abnormal condition exists.
The analysis result of the leakage current analysis may specifically include whether or not there is a leakage current abnormality.
It should be noted that, only when the magnitude of the leakage current and the temperature of the lead exceed the early warning threshold, it is determined that the leakage current is abnormal, and there is a fire hazard.
When short circuit occurs, the resistance is suddenly reduced, the current is suddenly increased, the instant heating value is very large, strong sparks and electric arcs are easily generated at the short circuit point, the insulating layer can be rapidly combusted, metal can be melted, and nearby inflammable and combustible materials are combusted to cause fire.
The short circuit analysis specifically comprises:
and counting the current change rate and the early warning threshold value of the current change rate.
And judging whether the current change rate and the early warning threshold value of the current change rate meet a preset short circuit abnormal condition or not.
The specific short circuit abnormal conditions are as follows:
wherein:
Irate of changeRepresenting the rate of change of current;
Δ T represents a unit time; Δ I represents the amount of current change per unit time;
Irate of change 0An early warning threshold representing a rate of change of current.
And when the short-circuit abnormal condition is met, determining that the short-circuit abnormal condition exists.
Therefore, the analysis result of the short circuit analysis is whether the short circuit abnormal condition exists.
The overload means that when the current passing through the wire exceeds the safe current-carrying capacity, the temperature of the wire is continuously increased, and fire occurs.
The overload analysis specifically comprises the following steps:
counting the monitoring value of the current, the rated safe current-carrying capacity of the lead, the monitoring value of the temperature of the lead and the early warning threshold value of the temperature of the lead.
And judging whether the monitoring value of the current, the rated safe current-carrying capacity of the lead, the monitoring value of the temperature of the lead and the early warning threshold value of the temperature of the lead meet preset overload abnormal conditions or not.
The specific overload exception condition is:
wherein:
i represents a monitored value of the current;
Irated valueThe rated safe current-carrying capacity of the lead is shown;
Tconducting wireA monitored value indicative of a temperature of the wire;
Tconductor 0An early warning threshold value representing the temperature of the wire.
And when the overload abnormal condition is met, judging that the overload abnormal condition exists.
Namely, whether the overload abnormal condition exists or not is the analysis result of the overload analysis.
And counting the three analyses, and judging that the electrical abnormal condition exists if at least one of three abnormal conditions, namely a leakage current abnormal condition, a short circuit abnormal condition and an overload abnormal condition exists.
If no abnormal condition occurs, which means that no electrical abnormal condition exists at the moment, the three kinds of fusion calculation analysis are continuously carried out until the electrical abnormal condition is detected.
In step S4, when an electrical abnormal situation exists, fuzzy reasoning is performed on the electrical abnormal situation based on a fire history knowledge base constructed in advance, and an electrical fire research and judgment result is obtained.
Specifically, according to the embodiment of the application, the electric fire research and judgment result of the current electric abnormal condition can be obtained by performing fuzzy reasoning on the electric abnormal condition through the fire history knowledge base and combining the environmental temperature and the smoke sensing data.
In step S5, electrical fire warning information is sent out based on the electrical fire research and judgment result, and an emergency disposal plan is formulated so that an emergency department performs fire emergency treatment on the electrical fire warning information.
Specifically, fire early warning information is sent out according to the electric fire research and judgment result, an initial emergency disposal scheme is given out for emergency department reference, and emergency measures can be modified manually. Aiming at the special emergency, the emergency treatment device can be set in advance, and emergency measures such as power supply cutoff, knife switch opening and the like can be directly taken according to the pre-judgment result, so that hidden dangers are eliminated in real time.
The embodiment of the application further comprises:
and storing the electrical fire research and judgment result, the electrical fire early warning information and the emergency disposal scheme into a fire history knowledge base so as to update the fire history knowledge base for early warning of the next electrical fire.
The updated fire history knowledge base is used as the analysis basis of the next fire research and judgment process.
According to the embodiment of the application, the occurrence of an electrical fire is preliminarily judged by combining sensing information such as environment temperature and smoke sensation through the temperature and the electric parameters (voltage, current, leakage current and the like) of the lead, the operations of cutting off a power supply, disconnecting a disconnecting link, reducing load and the like are timely adopted, the situation is prevented from happening in the bud, and a hidden danger source is cut off by drawing salary at the bottom of a kettle before the fire occurs. The fire hazard monitoring work is well done, the major fire accident is prevented, the life and property of the nation and people are prevented from major loss, and the social stability and the economic development are facilitated.
The embodiment of the present application further provides an electric fire early warning system, include:
an acquisition module configured to acquire electrical perception data;
a preprocessing module configured to preprocess the electrical perception data;
the abnormality judgment module is configured to perform fusion calculation analysis on the preprocessed electrical sensing data and judge whether an electrical abnormality exists based on an analysis result;
the fuzzy reasoning module is configured to perform fuzzy reasoning on the electrical abnormal condition based on a pre-constructed fire history knowledge base to obtain an electrical fire research and judgment result when the electrical abnormal condition exists;
and the early warning processing module is configured to send out electrical fire early warning information based on the electrical fire research and judgment result and formulate an emergency disposal scheme so that an emergency department can carry out fire emergency processing on the electrical fire early warning information.
In summary, compared with the prior art, the method has the following beneficial effects:
the embodiment of the application provides an electric fire early warning method and system, comprising the following steps: acquiring electrical perception data; preprocessing the electrical sensing data; performing fusion calculation analysis on the preprocessed electrical sensing data, and judging whether an electrical abnormal condition exists or not based on an analysis result; when an electrical abnormal condition exists, carrying out fuzzy reasoning on the electrical abnormal condition based on a pre-constructed fire history knowledge base to obtain an electrical fire research and judgment result; and sending out electric fire early warning information based on the electric fire research and judgment result, and formulating an emergency disposal scheme so that an emergency department carries out fire emergency treatment on the electric fire early warning information. The method and the device can sense the data of the electrical system and further judge whether the electrical abnormal condition exists. And when the electrical abnormal condition exists, carrying out fuzzy reasoning to realize fire early warning. This application can be targeted carry out the early warning to electric fire, and fail safe nature is high.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Since the above embodiments are all described by referring to and combining with other embodiments, the same portions are provided between different embodiments, and the same and similar portions between the various embodiments in this specification may be referred to each other. And will not be described in detail herein.
Those skilled in the art will clearly understand that the techniques in the embodiments of the present application may be implemented by way of software plus a required general hardware platform. Based on such understanding, the technical solutions in the embodiments of the present application may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present application.
It is noted that, in this specification, relational terms such as "first" and "second," and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a circuit structure, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such circuit structure, article, or apparatus. The term "comprising" a defined element does not, without further limitation, exclude the presence of other like elements in a circuit structure, article, or device that comprises the element.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims. The above-described embodiments of the present application do not limit the scope of the present application.
Claims (10)
1. An electrical fire warning method, comprising:
acquiring electrical perception data;
preprocessing the electrical perception data;
performing fusion calculation analysis on the preprocessed electrical sensing data, and judging whether an electrical abnormal condition exists or not based on an analysis result;
when an electrical abnormal condition exists, carrying out fuzzy reasoning on the electrical abnormal condition based on a pre-constructed fire history knowledge base to obtain an electrical fire research and judgment result;
and sending out electric fire early warning information based on the electric fire research and judgment result, and formulating an emergency disposal scheme.
2. The electrical fire warning method of claim 1, wherein the electrical sensing data comprises: electrical conductor temperature data, electrical parameter data, ambient temperature and smoke sensation data;
the electrical parameter data includes voltage, current, and leakage current of the electrical system.
3. The electrical fire warning method of claim 1, wherein preprocessing the electrical sensing data comprises: and carrying out amplification processing and A/D conversion processing on the electrical perception data.
4. The electrical fire early warning method of claim 2, wherein the fusion computational analysis comprises: leakage current analysis, short circuit analysis and overload analysis;
the analysis result of the leakage current analysis indicates whether the leakage current abnormal condition exists or not;
the analysis result of the short circuit analysis is whether a short circuit abnormal condition exists or not;
and the analysis result of the overload analysis is whether the overload abnormal condition exists or not.
5. The electrical fire warning method of claim 4, wherein the leakage current analysis comprises:
counting a monitoring value and an early warning threshold value of leakage current; counting a monitoring value and an early warning threshold value of the temperature of the lead;
judging whether the monitoring value and the early warning threshold value of the leakage current and the monitoring value and the early warning threshold value of the temperature of the lead meet preset leakage current abnormal conditions, wherein the leakage current abnormal conditions are as follows:
Ileakage net＞ILeak 0And TConducting wire＞TConductor 0
Wherein:
Ileakage netMonitor value indicating leakage current, ILeak 0An early warning threshold representing leakage current;
Tconducting wireIndicating a monitored value of the temperature of the wire, TConductor 0An early warning threshold indicative of a wire temperature;
and when the leakage current abnormal condition is met, judging that the leakage current abnormal condition exists.
6. The electrical fire early warning method of claim 4, wherein the short circuit analysis comprises:
counting the current change rate and the early warning threshold value of the current change rate;
judging whether the current change rate and the early warning threshold value of the current change rate meet a preset short circuit abnormal condition, wherein the short circuit abnormal condition is as follows:
wherein:
Irate of changeRepresenting the rate of change of current;
Δ T represents a unit time; Δ I represents the amount of current change per unit time;
Irate of change 0An early warning threshold indicative of a rate of change of current;
and when the short-circuit abnormal condition is met, determining that a short-circuit abnormal condition exists.
7. The electrical fire early warning method of claim 4, wherein the overload analysis includes:
counting a monitoring value of current, rated safe current-carrying capacity of a lead, a monitoring value of lead temperature and an early warning threshold value of lead temperature;
judging whether the monitored value of the current, the rated safe current-carrying capacity of the wire, the monitored value of the temperature of the wire and the early warning threshold value of the temperature of the wire meet preset overload abnormal conditions, wherein the overload abnormal conditions are as follows:
Wherein:
i represents a monitored value of the current;
Irated valueThe rated safe current-carrying capacity of the lead is shown;
Tconducting wireA monitored value indicative of a temperature of the wire;
Tconductor 0An early warning threshold indicative of a wire temperature;
and when the overload abnormal condition is met, determining that the overload abnormal condition exists.
8. The electrical fire early warning method according to claim 4, wherein the determining whether the electrical abnormal condition exists based on the analysis result comprises:
respectively counting analysis results of leakage current analysis, short circuit analysis and overload analysis;
determining that an electrical anomaly exists if at least one of the leakage current anomaly, the short circuit anomaly, and the overload anomaly exists.
9. The electrical fire early warning method of claim 1, further comprising:
and storing the electrical fire research and judgment result, the electrical fire early warning information and the emergency disposal scheme into a fire history knowledge base so as to update the fire history knowledge base for early warning of the next electrical fire.
10. An electrical fire warning system, the system comprising:
an acquisition module configured to acquire electrical perception data;
a preprocessing module configured to preprocess the electrical perception data;
the abnormality judgment module is configured to perform fusion calculation analysis on the preprocessed electrical sensing data and judge whether an electrical abnormality exists based on an analysis result;
the fuzzy reasoning module is configured to perform fuzzy reasoning on the electrical abnormal condition based on a pre-constructed fire history knowledge base to obtain an electrical fire research and judgment result when the electrical abnormal condition exists;
and the early warning processing module is configured to send out electric fire early warning information based on the electric fire research and judgment result and formulate an emergency disposal scheme.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011581205.5A CN112712664A (en) | 2020-12-28 | 2020-12-28 | Electrical fire early warning method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011581205.5A CN112712664A (en) | 2020-12-28 | 2020-12-28 | Electrical fire early warning method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112712664A true CN112712664A (en) | 2021-04-27 |
Family
ID=75545848
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011581205.5A Pending CN112712664A (en) | 2020-12-28 | 2020-12-28 | Electrical fire early warning method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112712664A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114049738A (en) * | 2021-10-19 | 2022-02-15 | 国网湖北省电力有限公司电力科学研究院 | Building electrical fire identification method and system based on smoke, temperature and electrical quantity |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060001923A (en) * | 2005-12-16 | 2006-01-06 | 김두현 | Development of an intelligent electrical fire cause diagnosis system combined case base and rule base using fuzzy logic |
| CN101986358A (en) * | 2010-08-31 | 2011-03-16 | 彭浩明 | Neural network and fuzzy control fused electrical fire intelligent alarm method |
| CN202210332U (en) * | 2011-08-22 | 2012-05-02 | 彭浩明 | Electrical fire hazard network intelligent alarm system |
| CN104076233A (en) * | 2014-07-18 | 2014-10-01 | 彭浩明 | Ageing degree detecting method and device |
| KR20140139804A (en) * | 2013-05-28 | 2014-12-08 | 충북대학교 산학협력단 | Diagnosis system and method for electrical fire causes by knowledge base using fuzzy logic |
| CN105336081A (en) * | 2015-11-26 | 2016-02-17 | 电子科技大学中山学院 | Fuzzy neural network-based electrical fire monitoring terminal and processing steps thereof |
| CN107632226A (en) * | 2017-08-21 | 2018-01-26 | 四川电之盾安全技术有限公司 | A kind of electrical safety on-line monitoring equipment |
| CN107644504A (en) * | 2017-09-13 | 2018-01-30 | 河南省三禾电气有限公司 | Electrical hazard monitoring system and method |
| CN109461277A (en) * | 2018-12-07 | 2019-03-12 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of electrical fire monitoring method, apparatus and server |
| CN111275270A (en) * | 2020-03-09 | 2020-06-12 | 南京中电科能技术有限公司 | Method for predicting regional electrical fire risk based on edge calculation and neural network |
| CN111862558A (en) * | 2020-01-07 | 2020-10-30 | 武汉烽火富华电气有限责任公司 | Intelligent processing method of fire detection signal |
| CN112116776A (en) * | 2020-10-21 | 2020-12-22 | 国网陕西省电力公司电力科学研究院 | System and method for predicting and monitoring cable fire in transformer substation |
-
2020
- 2020-12-28 CN CN202011581205.5A patent/CN112712664A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060001923A (en) * | 2005-12-16 | 2006-01-06 | 김두현 | Development of an intelligent electrical fire cause diagnosis system combined case base and rule base using fuzzy logic |
| CN101986358A (en) * | 2010-08-31 | 2011-03-16 | 彭浩明 | Neural network and fuzzy control fused electrical fire intelligent alarm method |
| CN202210332U (en) * | 2011-08-22 | 2012-05-02 | 彭浩明 | Electrical fire hazard network intelligent alarm system |
| KR20140139804A (en) * | 2013-05-28 | 2014-12-08 | 충북대학교 산학협력단 | Diagnosis system and method for electrical fire causes by knowledge base using fuzzy logic |
| CN104076233A (en) * | 2014-07-18 | 2014-10-01 | 彭浩明 | Ageing degree detecting method and device |
| CN105336081A (en) * | 2015-11-26 | 2016-02-17 | 电子科技大学中山学院 | Fuzzy neural network-based electrical fire monitoring terminal and processing steps thereof |
| CN107632226A (en) * | 2017-08-21 | 2018-01-26 | 四川电之盾安全技术有限公司 | A kind of electrical safety on-line monitoring equipment |
| CN107644504A (en) * | 2017-09-13 | 2018-01-30 | 河南省三禾电气有限公司 | Electrical hazard monitoring system and method |
| CN109461277A (en) * | 2018-12-07 | 2019-03-12 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of electrical fire monitoring method, apparatus and server |
| CN111862558A (en) * | 2020-01-07 | 2020-10-30 | 武汉烽火富华电气有限责任公司 | Intelligent processing method of fire detection signal |
| CN111275270A (en) * | 2020-03-09 | 2020-06-12 | 南京中电科能技术有限公司 | Method for predicting regional electrical fire risk based on edge calculation and neural network |
| CN112116776A (en) * | 2020-10-21 | 2020-12-22 | 国网陕西省电力公司电力科学研究院 | System and method for predicting and monitoring cable fire in transformer substation |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114049738A (en) * | 2021-10-19 | 2022-02-15 | 国网湖北省电力有限公司电力科学研究院 | Building electrical fire identification method and system based on smoke, temperature and electrical quantity |
| CN114049738B (en) * | 2021-10-19 | 2023-02-24 | 国网湖北省电力有限公司电力科学研究院 | Building electrical fire identification method and system based on smoke, temperature and electrical quantity |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101476660B1 (en) | A high voltage panel, low voltage panel, distribution panel and motor control panel for fire sensing function using multiple condition monitoring and diagnosis sensor | |
| KR102030453B1 (en) | Traditional Market Electrical Fire Prevention System and Method | |
| CN106997648A (en) | A kind of remote fire monitoring electric meter system based on Internet of Things | |
| CN108964274B (en) | Intelligent management system and control method for electrical safety | |
| US20040054921A1 (en) | Integrated monitoring and damage assessment system | |
| CN113726014B (en) | Power utilization monitoring method and system based on circuit breaker | |
| CN107085153B (en) | Electricity abnormal fire early warning method and system | |
| CN107644504B (en) | Electrical hazard monitoring system and method | |
| CN209657457U (en) | A kind of Electrical Safety dynamic monitoring system | |
| CN110137900A (en) | A kind of current-limiting type electrical fireproof short circuit protection device and its short-circuit protection method | |
| CA2665038C (en) | Apparatus and method for fire protection of electrical installations | |
| CN112305376B (en) | Low-voltage distribution line fault arc detection and identification method | |
| CN111157045B (en) | Artificial intelligence electric line abnormal risk degree monitoring method and system | |
| CN109448332A (en) | A kind of equipment alarm processing method and system based on Internet of Things wisdom Electrical Safety | |
| CN112712664A (en) | Electrical fire early warning method and system | |
| CN109342904B (en) | Arc fault detection and early warning method | |
| CN106970289B (en) | Method for detecting interruption of active conductor of non-grounded DC voltage supply system | |
| CN113419193B (en) | Leakage monitoring system | |
| CN116580538A (en) | Electrical fire detection method, system and storage medium | |
| CN114882666B (en) | Smart home fire early warning method, smart home fire early warning system, terminal equipment and storage medium | |
| CN209896450U (en) | A thing networking block terminal for electric fire control | |
| US11436905B2 (en) | Socket fire alarm system | |
| CN107870274A (en) | A kind of low-pressure electronic equipment product experiment detection device and method for testing and detecting | |
| CN113161990A (en) | Safe power supply system | |
| CN214795612U (en) | Intelligent power consumption safety prevention and control management system |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210427 |
|
| RJ01 | Rejection of invention patent application after publication |