CN116612597A - Forest fire monitoring and early warning system based on data analysis - Google Patents
Forest fire monitoring and early warning system based on data analysis Download PDFInfo
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- CN116612597A CN116612597A CN202310755388.5A CN202310755388A CN116612597A CN 116612597 A CN116612597 A CN 116612597A CN 202310755388 A CN202310755388 A CN 202310755388A CN 116612597 A CN116612597 A CN 116612597A
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/005—Fire alarms; Alarms responsive to explosion for forest fires, e.g. detecting fires spread over a large or outdoors area
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- 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
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- 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
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- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The application relates to the field of forest fire monitoring, and is used for solving the problem that the fire probability and the fire outcome lack predictive analysis simultaneously for the lack of effective supervision means of early forest fires and the adverse effect on fire extinguishing work, in particular to a forest fire monitoring and early warning system based on data analysis; according to the application, different pictures presented by the infrared camera for different temperatures can be found out in time at the initial stage of a fire disaster, the probability of the fire disaster occurrence is obtained by collecting various factors with obvious influence on the occurrence of the fire disaster in the climate information and by adopting a formula quantitative analysis mode, and the fire disaster results possibly caused by the current environment are obtained by monitoring and analyzing the environment information, so that the development scale and the development speed of the fire disaster are estimated, management staff is reminded of improving the environment when the environment is high-risk, and different levels of fire alarms are sent out by combining a fire disaster monitoring and early warning unit with the forest actual environment after the fire disaster is found out.
Description
Technical Field
The application relates to the field of forest fire monitoring, in particular to a forest fire monitoring and early warning system based on data analysis.
Background
Fire is a big enemy of forest, and among various factors damaging forest, forest fire is the most serious. It can burn large area forest and large amount of forest by-products in a short time, affect ecological balance in nature, and cause climate disturbance, water and soil loss, river siltation, flood flooding or water source exhaustion. Forest fires are all caused by stars, so that disastrous fires are caused, but small fires are difficult to discover in the early stage, and the traditional forest fire prevention monitoring mainly adopts manual observation and satellite remote sensing modes.
In the existing fire supervision system, the manual observation mode is high in labor cost, meanwhile, the manual monitoring is easy to overlook, the satellite remote sensing mode is that forest fires are found after remote sensing photos are processed, but satellites can only find fires in larger areas and cannot find fires in early stages, meanwhile, the existing forest fire monitoring system can only find fires which occur, and the problems that fire occurrence probability and fire occurrence results lack of clear quantitative analysis, the fire degree is easy to be estimated insufficiently, and delay occurs in rescue of fire extinguishing teams are easily caused;
the application provides a solution to the technical problem.
Disclosure of Invention
According to the application, the infrared camera can timely find out the fire disaster at the initial stage of the fire disaster according to different pictures presented by different temperatures, various factors which have obvious influence on the occurrence of the fire disaster are collected in the weather information, and different factors are quantitatively analyzed according to the formula to obtain the probability of the occurrence of the fire disaster, so that the fire disaster can be timely prepared before the occurrence of the fire disaster, personnel mobilization can be carried out at the fastest speed when the occurrence of the fire disaster happens unexpectedly, the environmental information is monitored and analyzed to obtain the fire disaster result possibly caused by the current environment after the occurrence of the fire disaster unexpectedly, so that the development scale and the development speed of the fire disaster can be timely estimated, and the manager can be timely reminded of improving the environment when the environment easily causes serious fire disaster results, and can send out different levels of fire alarms through the fire disaster monitoring and early warning unit combined with the actual forest environment after the occurrence of the fire disaster, thereby facilitating the development work of fire rescue workers, solving the problem that the fire disaster is lack effective in the supervision means for early stage and simultaneously lacking predictive analysis for the probability and the fire disaster result and causing adverse influence on fire extinguishing work.
The aim of the application can be achieved by the following technical scheme:
the forest fire monitoring and early warning system based on data analysis comprises a climate monitoring unit, a forest environment monitoring unit, a fire point monitoring unit, a data analysis unit and a fire monitoring and early warning unit, wherein the climate monitoring unit acquires climate environment information of a place where a forest is located, the climate environment information comprises environment temperature, environment humidity and environment wind speed, and the acquired climate environment information is sent to the data analysis unit;
the forest environment detection unit can acquire forest environment information in a forest, wherein the forest environment information comprises the ground inflammable matter accumulation thickness and the tree density, and the forest environment information is sent to the data analysis unit;
the fire point monitoring unit can perform infrared full coverage monitoring on the forest through the infrared sensor, acquire an infrared monitoring picture, analyze the infrared monitoring picture, acquire a temperature abnormal region in the infrared monitoring picture, start secondary close-range monitoring on the temperature abnormal region, analyze the picture of the secondary close-range monitoring, confirm whether fire points exist or not, and send the fire points to the data analysis unit;
the data analysis unit can analyze the climate environment information, acquire the probability of fire occurrence according to the climate environment information analysis, combine the climate environment information with the forest environment information to analyze at the same time, acquire fire hazard levels, generate early warning signals according to the fire hazard levels, send the early warning signals to the fire monitoring and early warning unit, and send early warning and reminding according to the early warning signals;
the data analysis unit acquires the fire position and the fire condition through the fire monitoring unit, comprehensively analyzes the fire position and the fire condition with forest environment information, generates a fire alarm signal, and sends the fire alarm signal to the fire monitoring and early warning unit, and the fire monitoring and early warning unit generates a fire alarm prompt according to the fire alarm signal.
As a preferred embodiment of the present application, the forest environment monitoring unit is implemented by manually and periodically measuring when obtaining the ground inflammable accumulation thickness and the tree density, and in the measuring process, a plurality of measuring points are selected from the forest to measure the ground inflammable accumulation thickness and the tree density at the measuring points, the ground inflammable accumulation thickness of the plurality of measuring points is averaged, the tree density of the plurality of measuring points is averaged, and the averaged ground inflammable accumulation thickness and tree density are sent to the data analysis unit.
As a preferred embodiment of the present application, after the data analysis unit obtains the climate environment information, the data analysis unit records the ambient temperature summarized by the climate environment information as T, the ambient humidity as R, the ambient wind speed as V, and obtains the probability of fire occurrence W by formula analysis, w= qTR b V a X 100%, wherein q, a and b are preset weight coefficients, the data analysis unit compares the fire occurrence probability W with a preset fire occurrence probability safety threshold W0, if the fire occurrence probability W is greater than or equal to the preset fire occurrence probability safety threshold W0, a fire high-risk signal is generated, and if the fire occurrence probability W is smaller than the preset fire occurrence probability safety threshold W0, a fire low-risk signal is generated and is sent to the fire monitoring and early warning unit;
after acquiring forest environment information, the data analysis unit records the thickness of inflammable substances accumulated in the forest environment information as H, records the tree density as P, and acquires fire hazard level E through formula analysis, wherein E=H C P d Whereinc and d are preset weight coefficients, the fire hazard level E is compared with a preset fire hazard level E0, if the fire hazard level E is greater than or equal to the preset fire hazard level E0, an environment high-risk signal is generated, if the fire hazard level E is less than the preset fire hazard level E0, an environment low-risk signal is generated, and the environment high-risk signal or the environment low-risk signal is sent to a fire monitoring and early warning unit.
As a preferred embodiment of the application, the data analysis unit performs quantitative analysis on the fire early-warning value, wherein the fire early-warning value=the fire risk level E×the probability of occurrence of the fire W, compares the fire early-warning value with a preset fire early-warning threshold, generates a fire result high-risk signal if the fire early-warning value is greater than or equal to the preset fire early-warning threshold, generates a fire result low-risk signal if the fire early-warning value is less than the preset fire early-warning threshold, and sends the fire result high-risk signal and the fire result low-risk signal to the fire monitoring early-warning unit.
As a preferred embodiment of the application, after the infrared monitoring picture is obtained by the fire point monitoring unit, color identification based on RGB values is carried out on the infrared monitoring picture, the color identification is compared with an image RGB range corresponding to a preset fire point temperature, when the RGB values of pixels in the infrared monitoring picture are overlapped with the image RGB range corresponding to the preset fire point temperature, a fire point alarm is generated, the position is marked as a fire point, after the fire point alarm is generated, a fire hazard level is obtained by the data analysis unit, when the fire hazard level is an environment high-risk signal, a serious fire alarm signal is generated, and when the fire hazard level is an environment low-risk signal, a fire alarm signal is generated.
As a preferred implementation mode of the application, after the fire monitoring and early warning unit obtains the fire high-risk signal, the fire monitoring and early warning unit generates a fire alarm and improves the sensitivity of the fire monitoring unit when the fire monitoring unit monitors the forest in an infrared way, and the fire monitoring and early warning unit obtains the fire low-risk signal and does not react;
when the fire monitoring and early warning unit acquires an environment high-risk signal, generating a fire high-risk reminder and reminding forest managers to clear inflammable accumulation in the forest, wherein the fire monitoring and early warning unit does not react when acquiring an environment low-risk signal;
when the fire monitoring and early warning unit acquires a serious fire alarm signal, a serious fire alarm is sent out, and when the fire monitoring and early warning unit acquires a fire alarm signal, a common fire alarm is sent out.
Compared with the prior art, the application has the beneficial effects that:
1. according to the application, when monitoring and early warning are carried out on a fire disaster, the infrared camera is used for carrying out full-coverage type monitoring work on the forest, so that different pictures presented by the infrared camera for different temperatures can be timely found out in the early stage of the fire disaster, and after the fire disaster is found out, fire alarms of different levels are sent out by combining the fire disaster monitoring and early warning unit with the actual forest environment, the timeliness of fire disaster finding and the early estimation of the fire disaster results are ensured, and the fire disaster rescue personnel can conveniently carry out work.
2. According to the application, the climate information is monitored, and the probability of fire occurrence is obtained by collecting various factors which have obvious influence on the occurrence of the fire and quantitatively analyzing different factors according to different weights through a formula, so that the device can be prepared in time before the occurrence of the fire, and people can mobilize at the fastest speed when the occurrence of the fire happens unexpectedly, thereby avoiding the expansion of the fire disaster.
3. According to the application, the environment information is monitored and analyzed, so that the fire disaster result possibly caused by the current environment after the unexpected fire disaster occurs is obtained, the development scale and development speed of the fire disaster are estimated in time, and management personnel are reminded of improving the environment in time when the environment easily causes serious fire disaster result.
Drawings
The present application is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a system block diagram of the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiment one:
referring to fig. 1, a forest fire monitoring and early warning system based on data analysis comprises a climate monitoring unit, a forest environment monitoring unit, a fire point monitoring unit, a data analysis unit and a fire condition monitoring and early warning unit, wherein the climate monitoring unit acquires climate environment information of a place where a forest is located, the climate environment information comprises environment temperature, environment humidity and environment wind speed, and the acquired climate environment information is sent to the data analysis unit;
the data analysis unit can analyze the climate environment information, obtain the fire occurrence probability according to the climate environment information analysis, wherein the fire occurrence probability comprises a fire high-risk signal and a fire low-risk signal, after the data analysis unit obtains the climate environment information, the data analysis unit records the environment temperature summarized by the climate environment information as T, the environment humidity as R, the environment wind speed as V, and obtains the fire occurrence probability W through formula analysis, wherein W= qTR b V a X 100%, wherein q, a, b are preset weight coefficients, the data analysis unit compares the fire occurrence probability W with a preset fire probability safety threshold W0, if the fire occurrence probability W is greater than or equal to the preset fire probability safety threshold W0, a fire high-risk signal is generated, if the fire occurrence probability W is smaller than the preset fire probability safety threshold W0, a fire low-risk signal is generated, and the fire high-risk signal or the fire low-risk signal is sent to the fire monitoring and early warning unit, so that a manager is reminded to make preventive preparation on the fire high-risk signal or the fire low-risk signal.
Embodiment two:
referring to fig. 1, a forest environment detection unit can obtain forest environment information in a forest, wherein the forest environment information comprises a ground inflammable accumulation thickness and a tree density, the forest environment information is sent to a data analysis unit, the forest environment detection unit is realized in a manual periodic measurement mode when obtaining the ground inflammable accumulation thickness and the tree density, during measurement, a plurality of measurement points are selected in the forest, the ground inflammable accumulation thickness and the tree density at the measurement points are measured, the ground inflammable accumulation thickness of the plurality of measurement points is averaged, the tree density of the plurality of measurement points is averaged, and the ground inflammable accumulation thickness and the tree density after the average value is sent to the data analysis unit;
after acquiring forest environment information, the data analysis unit records the thickness of inflammable matter accumulation in the forest environment information as H, records the density of trees as P, and the thicker the thickness of inflammable matter accumulation on the ground is, the faster the fire spreads when a fire disaster occurs, the higher the density of the trees is, the bigger the fire disaster occurs, so that the fire hazard level E, E=H is acquired through formula analysis C P d The method comprises the steps of determining reasonable thickness of ground inflammable accumulation according to tree density, wherein c and d are preset weight coefficients, comparing a fire risk level E with a preset fire risk level E0, generating an environment high-risk signal if the fire risk level E is greater than or equal to the preset fire risk level E0, generating an environment low-risk signal if the fire risk level E is smaller than the preset fire risk level E0, transmitting the environment high-risk signal or the environment low-risk signal to a fire monitoring and early-warning unit, simultaneously combining and analyzing climate environment information with forest environment information to obtain a fire risk level, wherein the fire risk level comprises the environment high-risk signal and the environment low-risk signal, generating an early-warning signal according to the fire risk level, the early-warning signal comprises a fire consequence low-risk signal and a fire consequence high-risk signal, quantitatively analyzing a fire value, wherein the fire value = the fire risk level E x the fire probability W, comparing the fire early-warning value with a preset fire early-warning threshold, and generating the fire early-warning signal if the fire early-warning value is greater than or equal to the preset fire early-warning value, and generating the fire early-warning signal is smaller than the fire threshold valueGenerating a fire result low-risk signal, sending the fire result high-risk signal and the fire result low-risk signal to a fire monitoring and early-warning unit by a data analysis unit, sending the early-warning signal to the fire monitoring and early-warning unit, and sending early-warning reminding when the fire monitoring and early-warning unit is according to the early-warning signal, so as to remind a manager to timely process the accumulation thickness of the ground inflammables in the forest.
Embodiment III:
referring to fig. 1, a fire monitoring unit can perform infrared full coverage monitoring on a forest through an infrared sensor, acquire an infrared monitoring picture, analyze the infrared monitoring picture, perform color recognition based on RGB values on the infrared monitoring picture after acquiring the infrared monitoring picture, compare the infrared monitoring picture with an image RGB range corresponding to a preset fire temperature, generate a fire alarm when the RGB values of pixels exist in the infrared monitoring picture and the image RGB range corresponding to the preset fire temperature are overlapped, mark the position as a fire position, acquire a fire hazard level after generating the fire alarm, generate a severe fire alarm signal when the fire hazard level is an environmental high-risk signal, generate a fire alarm signal when the fire hazard level is an environmental low-risk signal, acquire a temperature abnormal area in the infrared monitoring picture, start secondary close-range monitoring, analyze the secondary monitored picture, and confirm whether the fire exists or not, and send the fire to a data analysis unit;
the data analysis unit acquires the fire position and the fire condition through the fire monitoring unit, comprehensively analyzes the fire position and the fire condition with forest environment information, generates a fire alarm signal, and sends the fire alarm signal to the fire monitoring and early warning unit;
when the fire monitoring and early warning unit acquires an environment high-risk signal, generating a fire high-risk reminder and reminding forest managers of cleaning inflammable accumulation in a forest, wherein the fire monitoring and early warning unit does not react when acquiring an environment low-risk signal;
when the fire monitoring and early warning unit acquires a serious fire alarm signal, a serious fire alarm is sent out, and when the fire monitoring and early warning unit acquires the fire alarm signal, a common fire alarm is sent out, so that auxiliary information is provided for fire-extinguishing rescue workers through fire alarms of different levels.
According to the application, the forest is monitored through the infrared camera in a full-coverage mode, so that different images presented by the infrared camera at different temperatures can be timely found out in the early stage of a fire, various factors which have obvious influence on the occurrence of the fire are collected, different factors are quantitatively analyzed through a formula according to different weights, the probability of the occurrence of the fire is obtained, the forest can be timely prepared before the occurrence of the fire, personnel can be mobilized at the fastest speed when the fire happens unexpectedly, the expansion of the disaster condition of the fire is avoided, the scale and the development speed of the fire are timely estimated, and when the environment easily causes serious fire results, management personnel are timely reminded of improving the environment, and after the fire is found out, fire alarms of different levels are sent out through the fire monitoring and early warning unit in combination with the actual environment of the forest, so that the timeliness of the finding out of the fire and the fire results are guaranteed, and the rescue personnel can work is conveniently carried out.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The forest fire monitoring and early warning system based on data analysis is characterized by comprising a climate monitoring unit, a forest environment monitoring unit, a fire point monitoring unit, a data analysis unit and a fire condition monitoring and early warning unit, wherein the climate monitoring unit acquires climate environment information of a place where a forest is located, the climate environment information comprises environment temperature, environment humidity and environment wind speed, and the acquired climate environment information is sent to the data analysis unit;
the forest environment detection unit can acquire forest environment information in a forest, wherein the forest environment information comprises the ground inflammable matter accumulation thickness and the tree density, and the forest environment information is sent to the data analysis unit;
the fire point monitoring unit can perform infrared full coverage monitoring on the forest through the infrared sensor, acquire an infrared monitoring picture, analyze the infrared monitoring picture, acquire a temperature abnormal region in the infrared monitoring picture, start secondary close-range monitoring on the temperature abnormal region, analyze the picture of the secondary close-range monitoring, confirm whether fire points exist or not, and send the fire points to the data analysis unit;
the data analysis unit can analyze the climate environment information, acquire the probability of fire occurrence according to the climate environment information analysis, combine the climate environment information with the forest environment information to analyze at the same time, acquire fire hazard levels, generate early warning signals according to the fire hazard levels, send the early warning signals to the fire monitoring and early warning unit, and send early warning and reminding according to the early warning signals;
the data analysis unit acquires the fire position and the fire condition through the fire monitoring unit, comprehensively analyzes the fire position and the fire condition with forest environment information, generates a fire alarm signal, and sends the fire alarm signal to the fire monitoring and early warning unit, and the fire monitoring and early warning unit generates a fire alarm prompt according to the fire alarm signal.
2. The forest fire monitoring and early warning system based on data analysis according to claim 1, wherein the forest environment monitoring unit is realized by means of manual periodic measurement when acquiring the ground inflammable accumulation thickness and the tree density, and the ground inflammable accumulation thickness and the tree density at the measuring points are measured by selecting a plurality of measuring points in the forest, and the ground inflammable accumulation thickness of the plurality of measuring points is averaged, the tree density of the plurality of measuring points is averaged, and the averaged ground inflammable accumulation thickness and tree density are sent to the data analysis unit.
3. The forest fire monitoring and early warning system based on data analysis according to claim 1, wherein after the data analysis unit obtains the climate environment information, the data analysis unit records the environment temperature summarized by the climate environment information as T, the environment humidity as R, the environment wind speed as V, and obtains the probability of fire occurrence W, w= qTR through formula analysis b V a X 100%, wherein q, a and b are preset weight coefficients, the data analysis unit compares the fire occurrence probability W with a preset fire occurrence probability safety threshold W0, if the fire occurrence probability W is greater than or equal to the preset fire occurrence probability safety threshold W0, a fire high-risk signal is generated, and if the fire occurrence probability W is smaller than the preset fire occurrence probability safety threshold W0, a fire low-risk signal is generated and is sent to the fire monitoring and early warning unit;
after acquiring forest environment information, the data analysis unit records the thickness of inflammable substances accumulated in the forest environment information as H, records the tree density as P, and acquires fire hazard level E through formula analysis, wherein E=H C P d Wherein c and d are preset weight coefficients, and comparing the fire hazard level E with a preset fire hazard level E0, if the fire hazard level E is greater than or equal to the preset fire hazard level E0, generating an environment high-risk signal, if the fire hazard level E is less than the preset fire hazard level E0, generating an environment low-risk signal,and the environment high-risk signal or the environment low-risk signal is sent to the fire monitoring and early warning unit.
4. The forest fire monitoring and early warning system based on data analysis according to claim 1, wherein the data analysis unit performs quantitative analysis on fire early warning values, wherein the fire early warning values=fire danger level e×fire occurrence probability W, compares the fire early warning values with preset fire early warning thresholds, generates fire result high-risk signals if the fire early warning values are greater than or equal to the preset fire early warning thresholds, generates fire result low-risk signals if the fire early warning values are smaller than the preset fire early warning thresholds, and transmits the fire result high-risk signals and the fire result low-risk signals to the fire monitoring and early warning unit.
5. The forest fire monitoring and early warning system based on data analysis according to claim 4, wherein after the fire monitoring unit acquires the infrared monitoring picture, color recognition based on RGB values is performed on the infrared monitoring picture, the color recognition is performed on the infrared monitoring picture and is compared with an image RGB range corresponding to a preset fire temperature, when the RGB values of pixels in the infrared monitoring picture are overlapped with the image RGB range corresponding to the preset fire temperature, a fire alarm is generated, the position is marked as a fire point, after the fire alarm is generated, the data analysis unit acquires a fire hazard level, when the fire hazard level is an environment high-risk signal, a serious fire alarm signal is generated, and when the fire hazard level is an environment low-risk signal, a fire alarm signal is generated.
6. The forest fire monitoring and early warning system based on data analysis according to claim 1, wherein after the fire monitoring and early warning unit acquires a fire high-risk signal, a fire alarm is generated easily, the sensitivity of the fire monitoring unit in infrared monitoring of a forest is improved, and the fire monitoring and early warning unit acquires a fire low-risk signal and does not react;
when the fire monitoring and early warning unit acquires an environment high-risk signal, generating a fire high-risk reminder and reminding forest managers to clear inflammable accumulation in the forest, wherein the fire monitoring and early warning unit does not react when acquiring an environment low-risk signal;
when the fire monitoring and early warning unit acquires a serious fire alarm signal, a serious fire alarm is sent out, and when the fire monitoring and early warning unit acquires a fire alarm signal, a common fire alarm is sent out.
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| CN117173848A (en) * | 2023-09-07 | 2023-12-05 | 海南省林业科学研究院(海南省红树林研究院) | Forest fire detection method based on data analysis |
| CN117292311A (en) * | 2023-09-07 | 2023-12-26 | 江苏鑫赛德智慧建设有限公司 | Fire-fighting fire re-combustion prediction system based on AI image recognition |
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