CN112801457B - Fire-fighting linkage method and system based on regional fire risk assessment - Google Patents

Fire-fighting linkage method and system based on regional fire risk assessment Download PDF

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CN112801457B
CN112801457B CN202011643912.2A CN202011643912A CN112801457B CN 112801457 B CN112801457 B CN 112801457B CN 202011643912 A CN202011643912 A CN 202011643912A CN 112801457 B CN112801457 B CN 112801457B
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CN112801457A (en
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梁昆
蔡福守
张轩铭
王利强
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Hangzhou Tpson Technology Co ltd
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    • A62LIFE-SAVING; FIRE-FIGHTING
    • A62CFIRE-FIGHTING
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    • A62C37/04Control of fire-fighting equipment with electrically-controlled release
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    • G06Q50/265Personal security, identity or safety
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/10Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means

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Abstract

The invention discloses a fire-fighting linkage method and a fire-fighting linkage system based on regional fire risk assessment, wherein the method comprises the following steps of: dividing a monitoring area into a plurality of evaluation units, and evaluating fire risk levels of any evaluation unit, wherein the fire risk levels are one to four; step 2: carrying out regional key grade evaluation on any evaluation unit, wherein the regional key grade is one to four; step 3: any Internet of things detection equipment detects and reports early warning information, and the early warning information of all Internet of things detection equipment is analyzed to obtain early warning grades of any evaluation area, wherein the early warning grades are one to four; step 4: determining the comprehensive linkage level of any evaluation unit through the fire risk level, the regional key level and the early warning level, and determining whether full-automatic fire control linkage is performed according to the comprehensive linkage level; the invention can control the fire linkage action more accurately, realize automatic linkage of emergency, ensure safety, and reduce accidental loss by artificial judgment in conventional situations.

Description

Fire-fighting linkage method and system based on regional fire risk assessment
Technical Field
The invention belongs to the field of fire fighting linkage of fire disaster, and particularly relates to a fire fighting linkage method and system based on regional fire disaster risk assessment.
Background
At present, the construction of a fire safety management system can involve forward abnormal information monitoring and reverse linkage control operation to ensure timely discovery and timely control of fire, such as timely closing a fireproof door and opening a fan after the fire is discovered. The relation between the two can be manually controlled to reversely link after abnormality is found, or software automatic linkage control can be set.
However, due to false alarm, other factors, etc., automatic control is easy to become unnecessary loss caused by excessive accident, and people control the fire control system to worry about untimely response of some emergency situations, which causes fire control linkage to fall into embarrassing steps.
Disclosure of Invention
The invention aims to provide a fire-fighting linkage method and a fire-fighting linkage system based on regional fire risk assessment, which are used for solving the problems that the prior fire-fighting management system in the background technology can cause untimely fire response due to manual control, but the prevention is too appropriate due to automatic control by software.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a fire protection linkage method based on regional fire risk assessment, the method comprising the steps of:
step 1: dividing a monitoring area into a plurality of evaluation units, and evaluating fire risk levels of any evaluation unit, wherein the fire risk levels are one to four; the method comprises the following steps:
step 1.1: meshing and dividing the monitoring area, determining fire hazard sources in any evaluation unit, and calculating the shortest path value of all the fire hazard sources in any evaluation unit;
step 1.2: and respectively classifying the corresponding evaluation units according to the shortest path values, wherein the risk classes comprise one to four classes, the first class is low risk, the second class is medium risk, the third class is high risk and the fourth class is extremely high risk.
Step 2: carrying out regional key grade evaluation on any evaluation unit, wherein the regional key grade is one to four;
Step 3: any Internet of things detection equipment detects and reports early warning information, and the early warning information of all Internet of things detection equipment is analyzed to obtain early warning grades of any evaluation unit, wherein the early warning grades are one to four;
step 4: determining the comprehensive linkage level of any evaluation unit through the fire risk level, the regional key level and the early warning level, and determining whether full-automatic fire control linkage is performed according to the comprehensive linkage level;
wherein, calculating the shortest path value of all fire hazard sources in any evaluation unit comprises the following steps:
step 1.1.1: for all fire hazard sources F N in any one evaluation unit, each fire hazard source F i is calculated by the Di-Jie-Tesla algorithm, i= {1,2,3,..n } to the shortest path value D i of all other fire hazard sources F N, n+.i;
step 1.1.2: taking the minimum shortest path value D i in the corresponding evaluation unit as the final shortest path value;
the step 1.2 comprises the following steps:
Step 1.2.1: respectively setting weights of the shortest path values for an evaluation unit and a neighborhood evaluation unit;
step 1.2.2: and determining a corresponding neighborhood evaluation unit for any evaluation unit, calculating the sum of the shortest path values of the corresponding evaluation units, judging that the sum of the shortest paths belongs to a quantization interval of the risk level, and determining the risk level of the corresponding evaluation unit.
Preferably, in the step 3, the internet of things detection device includes a smoke sensor and a temperature sensor.
Preferably, in the step 3, when only the smoke sensor detects that the smoke reaches the first concentration threshold or only the temperature sensor detects that the temperature reaches the first temperature threshold, the early warning level is set to be one level;
when the smoke sensor detects that the smoke reaches a first concentration threshold value and the temperature sensor detects that the temperature reaches a first temperature threshold value, the smoke sensor is of a second level;
When the smoke sensor detects that the smoke reaches a second concentration threshold or only the temperature sensor detects that the temperature reaches a second temperature threshold, setting the early warning level to be three levels;
When the smoke and fog sensor detects that the smoke reaches the second concentration threshold value and the temperature sensor detects that the temperature reaches the second temperature threshold value, the early warning level is set to be four.
Preferably, in the step 4, the comprehensive linkage level is one to four levels;
When at least two levels of the fire risk level, the regional key level and the early warning level are the same level, the comprehensive linkage level is the same level;
When one of the fire risk level, the regional key level and the early warning level is four-level, one of the fire risk level and the regional key level is three-level, or one of the fire risk level and the regional key level is four-level, and the other fire risk level is two-level, the comprehensive linkage level is three-level;
When one of the fire risk level, the regional key level and the early warning level is three-level and the other is two-level, the comprehensive linkage level is two-level.
The fire-fighting linkage system based on regional fire risk assessment comprises a camera device, an internet of things detection device and an electric control fire-fighting device, wherein the camera device and the internet of things detection device are connected with a controller, the electric control fire-fighting device comprises a first control end and a second control end, the first control end is connected with an output end of the controller, and the second control end is matched with a manual switch; the camera equipment is used for acquiring a detection area, an evaluation unit is provided with a plurality of internet-of-things detection equipment and an electric control fire fighting equipment, and the internet-of-things detection equipment is used for detecting the corresponding evaluation unit; the fire-fighting equipment is used for extinguishing fire for the corresponding evaluation unit.
Compared with the prior art, the invention has the beneficial effects that:
The invention can control the fire linkage action more accurately, realize automatic linkage of emergency, ensure safety, and reduce accidental loss by artificial judgment in conventional situations.
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FIG. 1 is a flow chart of the present invention.
Fig. 2 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, a fire-fighting linkage method based on regional fire risk assessment, the method comprising the steps of:
Step 1: dividing a monitoring area into a plurality of evaluation units, and evaluating fire risk levels of any evaluation unit, wherein the fire risk levels are one to four;
Step 2: carrying out regional key grade evaluation on any evaluation unit, wherein the regional key grade is one to four;
Step 3: any Internet of things detection equipment detects and reports early warning information, and the early warning information of all Internet of things detection equipment is analyzed to obtain early warning grades of any evaluation unit, wherein the early warning grades are one to four;
Step 4: and determining the comprehensive linkage level of any evaluation unit through the fire risk level, the regional key level and the early warning level, and determining whether full-automatic fire control linkage is performed according to the comprehensive linkage level.
According to the invention, the risk level is comprehensively judged through the fire risk level, the regional key level and the early warning level, rather than determining the risk level through a single factor, and comprehensively considering the risk level, whether full-automatic fire-fighting linkage is needed or not is determined through the risk level, the existing emergency situation can be rapidly judged and timely extinguished, and the fire-fighting equipment can be manually extinguished or manually controlled to switch under the condition of lower risk level, so that the fire-fighting equipment can automatically operate.
As one embodiment of the present invention, the step 1 includes the following steps:
step 1.1: meshing and dividing the monitoring area, determining fire hazard sources in any evaluation unit, and calculating the shortest path value of all the fire hazard sources in any evaluation unit;
In the invention, the monitoring area is acquired by the camera equipment, gridding division is carried out on the monitoring area, obvious marks can be arranged at the positions of fire hazard sources, the controller can carry out the position and the number determination of the fire hazard sources on the evaluation unit through the obvious marks after carrying out image preprocessing on the acquired detection area, and the fire hazard sources comprise electric equipment, inflammable objects and the like, which are common knowledge in the field, and can be automatically arranged according to actual conditions by a person skilled in the art.
In the invention, when the fire hazard source in one evaluation unit catches fire, the fire hazard source closest to the evaluation unit is also swept, so that the fire is continuously increased and spread, thus the shortest path value is calculated to measure whether the fire of the evaluation unit is rapidly increased and the rapid increase speed, and when the shortest path value is smaller, the fire of the evaluation unit is rapidly increased, and the rapid increase speed is larger, and conversely, the rapid increase speed is smaller.
In the step 1.1, calculating the shortest path value of all fire hazard sources in any evaluation unit includes the following steps:
step 1.1.1: for all fire hazard sources F N in any one evaluation unit, each fire hazard source F i is calculated by the Di-Jie-Tesla algorithm, i= {1,2,3,..n } to the shortest path value D i of all other fire hazard sources F N, n+.i;
Step 1.1.2: and taking the minimum shortest path value D i in the corresponding evaluation unit as the final shortest path value.
In step 1.1.1 of the invention, if there is no fire hazard source or only one fire hazard source in any evaluation unit, the shortest path is 0, when there are 2 fire hazard sources, the distance between the fire hazard sources is the shortest path value, when there are more than 3 fire hazard sources, the shortest path taking each fire hazard source as the starting point needs to be traversed, and finally the shortest path value of each evaluation unit is obtained through step 1.1.2.
Step 1.2: and respectively classifying the corresponding evaluation units according to the shortest path values, wherein the risk classes comprise one to four classes, the first class is low risk, the second class is medium risk, the third class is high risk and the fourth class is extremely high risk.
The step 1.2 comprises the following steps:
Step 1.2.1: respectively setting weights of the shortest path values for an evaluation unit and a neighborhood evaluation unit;
step 1.2.2: and determining a corresponding neighborhood evaluation unit for any evaluation unit, calculating the sum of the shortest path values of the corresponding evaluation units, judging that the sum of the shortest paths belongs to a quantization interval of the risk level, and determining the risk level of the corresponding evaluation unit.
In step 1.2.1 of the present invention, the neighborhood evaluation unit draws a circle with the center of one evaluation unit as the center of the circle, and the minimum distance between the center of the one evaluation unit and the center of the other evaluation unit as the radius, and the evaluation units swept by the circle are all neighborhood evaluation units of the one evaluation unit. The neighborhood evaluation units are arranged and used for judging the influence of the corresponding evaluation units on the neighborhood evaluation units, so that the severity of the fire can be further determined; the source point of the fire is the corresponding evaluation unit rather than the neighborhood evaluation unit, so that the shortest path values of the two evaluation units are different in weight, and generally the shortest path value of the evaluation unit is greater than the shortest path value of the neighborhood evaluation unit.
In step 1.2.2 of the present invention, the risk level includes four levels, each level has a quantization interval of a corresponding risk level, the value of the quantization interval is a preset value, the value of the quantization interval is different according to the area of the evaluation unit, and the quantization interval can be set by a person skilled in the art according to the actual situation.
In step 2 of the present invention, the regional emphasis level is set manually, and the regional emphasis level is used to evaluate the importance of the corresponding evaluation unit, for example, if an evaluation unit stores security data and only one part of the security data is stored, the level of the evaluation unit is the fourth level, and if the evaluation unit is the company front, the level is the first level, which is known in the art, and a person skilled in the art can set the level according to the actual situation.
In the step 3, the internet of things detection device comprises a smoke sensor and a temperature sensor.
In the step 3, when only the smoke sensor detects that the smoke reaches a first concentration threshold or only the temperature sensor detects that the temperature reaches a first temperature threshold, the early warning level is set to be a first level;
when the smoke sensor detects that the smoke reaches a first concentration threshold value and the temperature sensor detects that the temperature reaches a first temperature threshold value, the smoke sensor is of a second level;
When the smoke sensor detects that the smoke reaches a second concentration threshold or only the temperature sensor detects that the temperature reaches a second temperature threshold, setting the early warning level to be three levels;
When the smoke and fog sensor detects that the smoke reaches the second concentration threshold value and the temperature sensor detects that the temperature reaches the second temperature threshold value, the early warning level is set to be four.
In the step 4, the comprehensive linkage level is one to four;
When at least two levels of the fire risk level, the regional key level and the early warning level are the same level, the comprehensive linkage level is the same level;
When one of the fire risk level, the regional key level and the early warning level is four-level, one of the fire risk level and the regional key level is three-level, or one of the fire risk level and the regional key level is four-level, and the other fire risk level is two-level, the comprehensive linkage level is three-level; it should be noted that the case where two levels are four and one level is three is not included here, nor is the case where two levels are four and one level is two.
When one of the fire risk level, the regional key level and the early warning level is three-level and the other is two-level, the comprehensive linkage level is two-level; it should be noted that the case that the two grades are three-grade and the case that the one grade is two-grade is not included here;
Except the second, third and fourth stages, the rest are the first stage, and the first stage is the case of manually judging whether fire can be extinguished without using fire extinguishing equipment; the second level is the situation of manually judging whether fire extinguishing equipment such as a fire extinguisher is needed to be used for completing fire extinguishing; three-stage is the situation that whether automatic fire extinguishing equipment such as a fire-fighting nozzle is started for fire extinguishing is needed to be judged manually; the fourth level is the situation that the controller automatically judges whether to extinguish fire by using automatic fire extinguishing equipment such as a fire-fighting nozzle.
The fire-fighting linkage system based on regional fire risk assessment comprises a camera device, an internet of things detection device and an electric control fire-fighting device, wherein the camera device and the internet of things detection device are connected with a controller, the electric control fire-fighting device comprises a first control end and a second control end, the first control end is connected with an output end of the controller, and the second control end is matched with a manual switch; the camera equipment is used for acquiring a detection area, an evaluation unit is provided with a plurality of internet-of-things detection equipment and an electric control fire fighting equipment, and the internet-of-things detection equipment is used for detecting the corresponding evaluation unit; the fire-fighting equipment is used for extinguishing fire for the corresponding evaluation unit.
The number of the image capturing apparatuses may be one or more, as long as the number of the image capturing apparatuses is set so as to be able to acquire the monitoring area image; the electric control fire-fighting equipment is a fire-fighting nozzle, and the fire-fighting nozzle can be automatically judged by the controller to be opened or not, and can be manually opened by a manual switch; the internet of things detection device is a smoke sensor and a temperature sensor, and any evaluation unit is provided with the smoke sensor and the temperature sensor.
In addition, the controller is also connected with a man-machine interaction module and an alarm module, wherein the man-machine interaction module is used for setting parameters such as a quantization interval, a regional key grade and the like and displaying the number of an evaluation unit for fire occurrence when a fire disaster occurs, and the alarm module is used for sounding an alarm.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.

Claims (5)

1. A fire protection linkage method based on regional fire risk assessment, the method comprising the steps of:
step 1: dividing a monitoring area into a plurality of evaluation units, and evaluating fire risk levels of any evaluation unit, wherein the fire risk levels are one to four; the method comprises the following steps:
Step 1.1: meshing and dividing the monitoring area, determining fire hazard sources in any evaluation unit, and calculating the shortest path value of all the fire hazard sources in any evaluation unit; step 1.2: respectively classifying the corresponding evaluation units according to the shortest path values, wherein the risk classes comprise one to four classes, the first class is low risk, the second class is medium risk, the third class is high risk and the fourth class is extremely high risk;
Step 2: carrying out regional key grade evaluation on any evaluation unit, wherein the regional key grade is one to four;
Step 3: any Internet of things detection equipment detects and reports early warning information, and the early warning information of all Internet of things detection equipment is analyzed to obtain early warning grades of any evaluation unit, wherein the early warning grades are one to four;
step 4: determining the comprehensive linkage level of any evaluation unit through the fire risk level, the regional key level and the early warning level, and determining whether full-automatic fire control linkage is performed according to the comprehensive linkage level;
wherein, calculating the shortest path value of all fire hazard sources in any evaluation unit comprises the following steps:
step 1.1.1: for all fire hazard sources F N in any one evaluation unit, each fire hazard source F i is calculated by the Di-Jie-Tesla algorithm, i= {1,2,3,..n } to the shortest path value D i of all other fire hazard sources F N, n+.i;
step 1.1.2: taking the minimum shortest path value D i in the corresponding evaluation unit as the final shortest path value;
the step 1.2 comprises the following steps:
Step 1.2.1: respectively setting weights of the shortest path values for an evaluation unit and a neighborhood evaluation unit;
step 1.2.2: and determining a corresponding neighborhood evaluation unit for any evaluation unit, calculating the sum of the shortest path values of the corresponding evaluation units, judging that the sum of the shortest paths belongs to a quantization interval of the risk level, and determining the risk level of the corresponding evaluation unit.
2. The fire protection linkage method based on regional fire risk assessment according to claim 1, wherein in the step 3, the internet of things detection device comprises a smoke sensor and a temperature sensor.
3. The fire-fighting linkage method based on regional fire risk assessment according to claim 2, wherein in the step 3, when only the smoke sensor detects that the smoke reaches the first concentration threshold or only the temperature sensor detects that the temperature reaches the first temperature threshold, the pre-warning level is set to be one level;
when the smoke sensor detects that the smoke reaches a first concentration threshold value and the temperature sensor detects that the temperature reaches a first temperature threshold value, the smoke sensor is of a second level;
When the smoke sensor detects that the smoke reaches a second concentration threshold or only the temperature sensor detects that the temperature reaches a second temperature threshold, setting the early warning level to be three levels;
When the smoke and fog sensor detects that the smoke reaches the second concentration threshold value and the temperature sensor detects that the temperature reaches the second temperature threshold value, the early warning level is set to be four.
4. The fire-fighting linkage method based on regional fire risk assessment according to claim 1, wherein in the step 4, the comprehensive linkage level is one to four;
When at least two levels of the fire risk level, the regional key level and the early warning level are the same level, the comprehensive linkage level is the same level;
When one of the fire risk level, the regional key level and the early warning level is four-level, one of the fire risk level and the regional key level is three-level, or one of the fire risk level and the regional key level is four-level, and the other fire risk level is two-level, the comprehensive linkage level is three-level;
when one of the fire risk level, the regional key level and the early warning level is three-level and the other is two-level, the comprehensive linkage level is two-level.
5. The system for applying the fire-fighting linkage method based on regional fire risk assessment according to any one of claims 1-4, which is characterized by comprising a camera device, an internet of things detection device and an electric control fire-fighting device, wherein the camera device and the internet of things detection device are connected with a controller, the electric control fire-fighting device comprises a first control end and a second control end, the first control end is connected with the output end of the controller, and the second control end is matched with a manual switch; the camera equipment is used for acquiring a detection area, an evaluation unit is provided with a plurality of internet-of-things detection equipment and an electric control fire fighting equipment, and the internet-of-things detection equipment is used for detecting the corresponding evaluation unit; the fire-fighting equipment is used for extinguishing fire for the corresponding evaluation unit.
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