CN114898519A - Fire-fighting linkage control system for cabin-type transformer substation - Google Patents
Fire-fighting linkage control system for cabin-type transformer substation Download PDFInfo
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- CN114898519A CN114898519A CN202210495028.1A CN202210495028A CN114898519A CN 114898519 A CN114898519 A CN 114898519A CN 202210495028 A CN202210495028 A CN 202210495028A CN 114898519 A CN114898519 A CN 114898519A
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- 239000000779 smoke Substances 0.000 claims abstract description 147
- 230000000007 visual effect Effects 0.000 claims abstract description 31
- 239000002245 particle Substances 0.000 claims abstract description 20
- 230000002265 prevention Effects 0.000 claims abstract description 7
- 238000012545 processing Methods 0.000 claims description 19
- 238000012790 confirmation Methods 0.000 claims description 10
- 238000005516 engineering process Methods 0.000 claims description 7
- 230000001681 protective effect Effects 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 238000004378 air conditioning Methods 0.000 claims description 2
- 238000009434 installation Methods 0.000 claims description 2
- 238000005507 spraying Methods 0.000 claims description 2
- 230000006698 induction Effects 0.000 claims 2
- 238000000034 method Methods 0.000 abstract description 9
- 238000013473 artificial intelligence Methods 0.000 description 2
- 108700039708 galantide Proteins 0.000 description 2
- 238000010223 real-time analysis Methods 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000001629 suppression 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
-
- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C37/00—Control of fire-fighting equipment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- 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
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a cabin-type substation fire-fighting linkage control system, which relates to the technical field of fire prevention and control and comprises a smoke particle sensing module, a smoke visual sensing module, a smoke alarm module, a fire-fighting linkage control module, a fixed fire-fighting module and a control terminal; by combining two different identification methods for fire smoke, the fire situation is classified, automatic fire fighting equipment is started when the fire is clear, and otherwise, only fire fighting linkage equipment is started; meanwhile, when the fire is unknown, the worker is reminded to overhaul the smoke recognition equipment; the problems of false alarm and missed alarm easily occurring in fire prevention and control of the traditional cabin type transformer substation are solved.
Description
Technical Field
The invention belongs to the field of fire prevention and control, relates to an artificial intelligence technology, and particularly relates to a cabin type transformer substation fire-fighting linkage control system.
Background
With the establishment of the construction target of the smart grid, the comprehensive automation level of the cabin type substation main equipment is continuously improved, and the comprehensive intelligent transformation of the power system is urgent. The intelligent power grid is constructed by forming an intelligent system supported by an intelligent automation system of a cabin-type transformer substation and a main and auxiliary integrated monitoring system, and highlighting the intelligent characteristics of the cabin-type transformer substation. And the intelligent transformation of the main and auxiliary integrated monitoring system for ensuring the safe and stable operation of the cabin-type transformer substation also becomes more prominent. The important part of the safety and stability of the cabin type transformer substation is the prevention and control of fire; the existing technical scheme for preventing and controlling fire in a cabin-type transformer substation often has the following problems:
false alarm and missing alarm are easy; the existing system lacks intelligent and active management means, and the cabin type transformer substation mostly adopts a passive monitoring mode of artificial subjective judgment, which is easy to generate false alarm and false alarm phenomena due to subjective factors of personnel;
therefore, a fire-fighting linkage control system for a cabin-type substation is provided.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. The invention provides a cabin-type substation fire-fighting linkage control system, which combines two different identification methods for fire smoke, carries out classification treatment on the fire situation, starts automatic fire-fighting equipment when the fire is clear, and otherwise only starts fire-fighting linkage equipment; meanwhile, when the fire is unknown, the worker is reminded to overhaul the smoke recognition equipment; the problems of false alarm and missed alarm easily occurring in fire prevention and control of the traditional cabin type transformer substation are solved.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a cabin-type substation fire-fighting linkage control system, which includes a smoke particle sensing module, a smoke visual sensing module, a smoke alarm module, a fire-fighting linkage control module, a fixed fire-fighting module, and a control terminal;
the smoke particle sensing module is mainly used for sensing particles generated in the process of fire disaster by using a physical principle;
in a preferred embodiment, the smoke particle sensing module comprises a smoke sensor and a signal emitter in a smoke alarm; the smoke sensor is connected with the signal transmitter through a data transmission line;
the signal transmitter is connected with the smoke alarm module in a wireless network and/or electric mode;
when the smoke sensor senses that smoke in the cabin-type transformer substation reaches 5% -OBS/M-15%, the signal transmitter sends a fire early warning signal to the smoke alarm module;
the smoke visual sensing module is mainly used for judging whether a fire disaster occurs in the cabin-type transformer substation through a computer visual technology;
in a preferred embodiment, the smoke visual sensing module comprises a plurality of intelligent cameras with changeable angles and a visual processing unit;
it can be understood that the number of the intelligent cameras is such that the photographed field of view contains all positions of the cabin substation; the intelligent camera sends the shot picture to the visual processing unit in real time; the visual processing unit is connected with the smoke alarm module in a wireless network and/or an electrical mode;
the vision processing unit analyzes the pictures shot by the intelligent camera in real time; specifically, the real-time analysis of the picture shot by the camera comprises the following steps:
step S1: collecting a smoke and non-smoke field photo data set with a label in advance;
step S2: marking the picture of the smoke scene as 1 and the picture of the non-smoke scene as 0;
step S3: inputting the smoke and non-smoke pictures into a CNN network, and outputting the judgment of the CNN network on whether smoke exists in the smoke pictures; taking the photo mark as a target value, and taking the accuracy of CNN network output as a target; training a CNN network;
step S4: when the CNN network output accuracy rate reaches 95%, stopping training; and storing the trained CNN network model;
step S5: detecting photos sent by the intelligent camera in real time by using the trained CNN network model; judging whether smoke exists in the picture, and if yes, sending a smoke early warning signal to a smoke warning module;
the smoke alarm module is mainly used for carrying out fire alarm after receiving the smoke early warning signal;
the smoke alarm module is connected with the fixed fire extinguishing module and the fire-fighting linkage control module in a wireless network and/or electrical mode;
the smoke alarm module processes the smoke early warning signals into two types, specifically, the processing steps are as follows:
step P1: after receiving the smoke early warning signal for the first time, the smoke alarm module sends a fire early warning signal to the fire-fighting linkage control module;
step P2: within the time interval t, if the smoke alarm module receives the smoke early warning signal sent by another module again, the operation goes to step P3; otherwise go to step P4; wherein the time interval t is set according to actual experience;
step P3: the smoke alarm module sends a fire confirmation signal to the fixed fire extinguishing module and sends the fire confirmation signal to the control terminal;
step P4: the smoke alarm module sends a fire unclear signal to the control terminal;
the fire-fighting linkage control module is used for executing some protective measures in advance when receiving a fire early warning signal;
the fixed fire extinguishing module is mainly used for starting fire extinguishing equipment when a fire condition is confirmed;
the control terminal is mainly used for helping workers judge and control the fire of the cabin type transformer substation;
compared with the prior art, the invention has the beneficial effects that:
1. the method comprises the steps that two different identification methods for fire smoke are combined, the fire condition is subjected to classification processing, automatic fire fighting equipment is started when the fire condition is clear, and otherwise, only fire fighting linkage equipment is started; meanwhile, when the fire is unknown, the worker is reminded to overhaul the smoke recognition equipment; the problems of false alarm and missed alarm easily occurring in the fire prevention and control of the traditional cabin type transformer substation are solved;
2. the invention adopts the object recognition technology in the artificial intelligence technology, and further ensures the accuracy of fire early warning.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of 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 invention.
As shown in fig. 1, a cabin-type substation fire disaster and fire fighting linkage control system comprises a smoke particle sensing module, a smoke visual sensing module, a smoke alarm module, a fire fighting linkage control module, a fixed fire extinguishing module and a control terminal;
the smoke particle sensing module is mainly used for sensing particles generated in the process of fire disaster by using a physical principle;
in a preferred embodiment, the smoke particle sensing module comprises a smoke sensor and a signal emitter in a smoke alarm; the smoke sensor is connected with the signal transmitter through a data transmission line;
the signal transmitter is connected with the smoke alarm module in a wireless network and/or electric mode;
when the smoke sensor senses that smoke in the cabin-type transformer substation reaches 5% -OBS/M-15%, the signal transmitter sends a smoke early warning signal to the smoke warning module;
the smoke visual sensing module is mainly used for judging whether a fire disaster occurs in the cabin-type transformer substation through a computer visual technology;
in a preferred embodiment, the smoke visual sensing module comprises a plurality of intelligent cameras with changeable angles and a visual processing unit;
it can be understood that the number of the intelligent cameras is such that the photographed field of view contains all positions of the cabin substation; the intelligent camera sends the shot picture to the visual processing unit in real time; the visual processing unit is connected with the smoke alarm module in a wireless network and/or electric mode;
the vision processing unit analyzes the pictures shot by the intelligent camera in real time; specifically, the real-time analysis of the picture shot by the camera comprises the following steps:
step S1: collecting a smoke and non-smoke field photo data set with a label in advance;
step S2: marking the picture of the smoke scene as 1 and the picture of the non-smoke scene as 0;
step S3: inputting the smoke and non-smoke pictures into a CNN network, and outputting the judgment of the CNN network on whether smoke exists in the smoke pictures; taking the photo mark as a target value, and taking the accuracy of CNN network output as a target; training a CNN network;
step S4: when the output accuracy of the CNN network reaches 95%, stopping training; and storing the trained CNN network model;
step S5: detecting photos sent by the intelligent camera in real time by using the trained CNN network model; judging whether smoke exists in the picture, and if yes, sending a smoke early warning signal to a smoke warning module;
the smoke alarm module is mainly used for carrying out fire alarm after receiving the smoke early warning signal;
the smoke alarm module is connected with the fixed fire extinguishing module and the fire-fighting linkage control module in a wireless network and/or electrical mode;
it can be understood that the smoke alarm module receives smoke early warning signals from the smoke particle sensing module and the smoke visual sensing module; when the smoke alarm module receives two smoke early warning signals at the same time, the possibility of fire is high; when the smoke alarm module only receives one smoke early warning signal, the false alarm or the failure of a certain device cannot be confirmed; therefore, the smoke alarm module processes the smoke early warning signal into two types, specifically, the processing steps are as follows:
step P1: after receiving the smoke early warning signal for the first time, the smoke alarm module sends a fire early warning signal to the fire-fighting linkage control module;
step P2: within the time interval t, if the smoke alarm module receives the smoke early warning signal sent by another module again, the operation goes to step P3; otherwise go to step P4; wherein the time interval t is set according to actual experience;
step P3: the smoke alarm module sends a fire confirmation signal to the fixed fire extinguishing module and sends the fire confirmation signal to the control terminal;
step P4: the smoke alarm module sends a fire unclear signal to the control terminal;
the fire-fighting linkage control module is used for executing some protective measures in advance when receiving a fire early warning signal;
in a preferred embodiment, the protective measures comprise automatically stopping the operation of the air supply and exhaust system and the air conditioning system and starting the fire pump in a linkage manner;
it can be understood that the fire-fighting linkage control module comprises an automatic control device, when the fire-fighting linkage control module receives a fire early warning signal sent by the smoke alarm module, the automatic control device sends a control instruction to the air supply and exhaust system, the air conditioner and the fire-fighting water pump, the air supply and exhaust system and the air conditioner system are stopped, and the fire-fighting water pump is started;
the fixed fire extinguishing module is mainly used for starting fire extinguishing equipment when a fire condition is confirmed;
in a preferred embodiment, the fixed fire suppression module may be a number of automatic sprinklers mounted on a roof; the number and the installation positions of the automatic sprayers are set according to actual experience;
it can be understood that when the fixed fire extinguishing module receives the fire confirmation signal, the automatic sprayer is automatically started to carry out all-dimensional spraying on the cabin type transformer substation so as to prevent the fire from spreading;
the control terminal is mainly used for helping workers judge and control the fire of the cabin type transformer substation;
in a preferred real-time example, the control terminal may be an APP in a smart phone, and the APP may be connected with the smoke particle sensing module and the smoke visual sensing module in a wireless and/or electrical manner; displaying the monitoring picture of the intelligent camera and the smoke concentration in the air monitored by the smoke sensor in real time to workers in real time;
further, after receiving the fire confirmation signal, the control terminal initiates a strong ringing prompt until the staff actively turns off; reminding workers to perform the next processing;
the control terminal initiates ringing reminding and initiates frame reminding after receiving the signal with unclear fire; the bullet frame reminds that the smoke particle sensing module or the smoke visual sensing module possibly has partial equipment failure.
The working principle of the invention is as follows:
the smoke particle sensing module is used for sensing particles generated in the fire by using a physical principle;
the smoke visual sensing module is used for judging whether a fire disaster occurs in the cabin-type transformer substation through a computer visual technology;
the smoke alarm modules respectively process the received smoke early warning signals according to the number of the received smoke early warning signals;
the fire-fighting linkage control module is used for executing some protective measures in advance when a fire disaster occurs;
the fixed fire extinguishing module is used for starting fire extinguishing equipment when a fire condition is confirmed;
and the control terminal is used for helping the worker judge and control the fire of the cabin type transformer substation.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. The utility model provides a cabin formula transformer substation fire prevention fire control coordinated control system which characterized in that includes: the system comprises a smoke particle sensing module, a smoke visual sensing module, a smoke alarm module, a fire-fighting linkage control module, a fixed fire-extinguishing module and a control terminal;
the smoke particle sensing module is used for sensing particles generated in the fire by using a physical principle;
the smoke visual sensing module is used for judging whether a fire disaster occurs in the cabin-type transformer substation through a computer visual technology;
the smoke visual sensing module comprises a plurality of intelligent cameras with changeable angles and a visual processing unit;
the smoke alarm module is used for carrying out fire alarm after receiving the smoke early warning signal; the smoke alarm module is connected with the fixed fire extinguishing module and the fire-fighting linkage control module in a wireless network and/or electrical mode;
the fire-fighting linkage control module is used for executing some protective measures in advance when receiving the fire early warning signal;
the fixed fire extinguishing module is used for starting fire extinguishing equipment when a fire condition is confirmed;
and the control terminal is used for helping the worker judge and control the fire of the cabin type transformer substation.
2. The cabin-type substation fire-fighting linkage control system according to claim 1, wherein the smoke particle sensing module comprises a smoke sensor and a signal transmitter; the smoke sensor is connected with the signal transmitter through a data transmission line;
the signal transmitter is connected with the smoke alarm module in a wireless network and/or electric mode;
when the smoke sensor senses that smoke in the cabin type transformer substation reaches 5% -15% OBS/M, the signal transmitter sends a smoke early warning signal to the smoke warning module.
3. The cabin-type substation fire-fighting linkage control system according to claim 1, wherein the smoke vision sensing module comprises a plurality of angle-changeable intelligent cameras and a vision processing unit; the intelligent camera sends the shot picture to the visual processing unit in real time; the visual processing unit is connected with the smoke alarm module in a wireless network and/or electric mode;
and the visual processing unit analyzes the pictures shot by the intelligent camera in real time.
4. The fire-fighting linkage control system for the cabin-type substation in the fire disaster is characterized in that the visual processing unit analyzes the pictures shot by the camera in real time and comprises the following steps:
step S1: collecting a smoke and non-smoke field photo data set with a label in advance;
step S2: marking the picture of the smoke scene as 1 and the picture of the non-smoke scene as 0;
step S3: inputting the smoke and non-smoke pictures into a CNN network, and outputting the judgment of the CNN network on whether smoke exists in the smoke pictures; taking the photo mark as a target value, and taking the accuracy of CNN network output as a target; training a CNN network;
step S4: when the output accuracy of the CNN network reaches 95%, stopping training; and storing the trained CNN network model;
step S5: detecting photos sent by the intelligent camera in real time by using the trained CNN network model; and judging whether smoke exists in the picture, and if yes, sending a smoke early warning signal to a smoke warning module.
5. The fire-fighting linkage control system for the cabin-type substation in the fire protection according to claim 1, wherein the smoke alarm module performs fire alarm, and comprises the following steps:
step P1: after receiving the smoke early warning signal for the first time, the smoke alarm module sends a fire early warning signal to the fire-fighting linkage control module;
step P2: within the time interval t, if the smoke alarm module receives the smoke early warning signal sent by another module again, the operation goes to step P3; otherwise go to step P4; wherein the time interval t is set according to actual experience;
step P3: the smoke alarm module sends a fire confirmation signal to the fixed fire extinguishing module and sends the fire confirmation signal to the control terminal;
step P4: the smoke alarm module sends a fire unclear signal to the control terminal.
6. The cabin-type substation fire-fighting linkage control system according to claim 1, wherein the protective measures comprise automatic stopping of the operation of the air supply and exhaust system and the air conditioning system and linkage starting of the fire-fighting water pump.
7. The cabin-type substation fire-fighting linkage control system according to claim 1, wherein the fixed fire-extinguishing modules are automatic sprinklers installed on a roof; the number and the installation positions of the automatic sprayers are set according to actual experience;
and when the fixed fire extinguishing module receives the fire condition confirmation signal, the automatic sprayer is automatically started to carry out all-dimensional spraying on the cabin type transformer substation.
8. The cabin-type substation fire and fire linkage control system according to claim 1, wherein the control terminal is an APP in a smart phone, and the APP is connected with the smoke particle sensing module and the smoke visual sensing module in a wireless and/or electrical manner; displaying the monitoring picture of the intelligent camera and the smoke concentration in the air monitored by the smoke sensor in real time to workers in real time;
after receiving the fire confirmation signal, the control terminal initiates strong ringing reminding until the staff actively closes; and reminding workers to carry out the next processing;
the control terminal initiates ringing reminding and initiates frame reminding after receiving the signal with unclear fire; the bullet frame reminds that the smoke visual induction module or the smoke particle induction module has partial equipment faults.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210495028.1A CN114898519B (en) | 2022-05-07 | 2022-05-07 | Cabin type transformer station fire-fighting linkage control system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210495028.1A CN114898519B (en) | 2022-05-07 | 2022-05-07 | Cabin type transformer station fire-fighting linkage control system |
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| CN114898519A true CN114898519A (en) | 2022-08-12 |
| CN114898519B CN114898519B (en) | 2023-06-16 |
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| CN114898519B (en) | 2023-06-16 |
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