CN116050715B - Forest protection fireproof safety supervision system - Google Patents
Forest protection fireproof safety supervision system Download PDFInfo
- Publication number
- CN116050715B CN116050715B CN202310330855.XA CN202310330855A CN116050715B CN 116050715 B CN116050715 B CN 116050715B CN 202310330855 A CN202310330855 A CN 202310330855A CN 116050715 B CN116050715 B CN 116050715B
- Authority
- CN
- China
- Prior art keywords
- forest
- area
- patrol
- supervision
- supervision area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 claims description 69
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 41
- 238000004458 analytical method Methods 0.000 claims description 32
- 238000000034 method Methods 0.000 claims description 13
- 231100000279 safety data Toxicity 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 description 5
- 230000007613 environmental effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006698 induction Effects 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001066 destructive effect Effects 0.000 description 1
- 238000010252 digital analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001850 reproductive effect Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- 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
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/20—Analytics; Diagnosis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/50—Safety; Security of things, users, data or systems
-
- 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
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/28—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture specially adapted for farming
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Marketing (AREA)
- Multimedia (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Primary Health Care (AREA)
- Operations Research (AREA)
- Environmental & Geological Engineering (AREA)
- Toxicology (AREA)
- Biodiversity & Conservation Biology (AREA)
- Biomedical Technology (AREA)
- Computer Security & Cryptography (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a forest protection fireproof safety supervision system, which belongs to the field of forest protection and is used for solving the problem that intelligent fireproof supervision cannot be achieved due to large forest area.
Description
Technical Field
The invention belongs to the field of forest protection, relates to a safety supervision technology, and particularly relates to a forest protection fireproof safety supervision system.
Background
Forest fires are the most dangerous enemy of forests and the most terrible disaster of forests, which can bring the most harmful and destructive consequences to forests. Forest fires not only burn out forests in a flaky form, injure animals in the forests, but also reduce the reproductive capacity of the forests, cause soil impoverishment and destroy the water source of forest conservation, and even cause the ecological environment to lose balance.
Because the forest area is large, the place where the fire disaster occurs can be only a certain area of the forest, if the forest is monitored and patrolled in a large area, large manpower and material resources are needed to be input, and the waste of monitoring resources is easily caused, so that the problem of how to realize the fire prevention supervision of the forest on the premise of avoiding the waste of resources is a current problem;
therefore, we propose a forest protection fireproof safety supervision system.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a forest protection fireproof safety supervision system.
The technical problems to be solved by the invention are as follows:
how to realize the differential fire prevention supervision of different forest areas based on historical factors and regional factors.
The aim of the invention can be achieved by the following technical scheme:
the forest protection fireproof safety supervision system comprises a monitoring and early warning terminal, a server, a display terminal and a patrol terminal, wherein the server is connected with a region dividing module, a storage recording module, a historical safety analysis module, a protection setting module, a region analysis module, a real-time monitoring module and an intelligent patrol module, and the region dividing module is used for dividing a forest range to obtain a plurality of forest supervision regions, adding a standard region number and feeding back to the server; the storage recording module is used for storing the historical safety data of the forest supervision area and sending the corresponding historical safety data to the historical safety analysis module through the server according to the area number; the historical security analysis module is used for analyzing the historical security conditions of the forest supervision area, and obtaining the historical supervision value of the forest supervision area and sending the historical supervision value to the protection setting module through the server; the storage recording module is also used for recording the regional resource data of the forest supervision region and transmitting the corresponding regional resource data to the regional analysis module through the server according to the regional number; the area analysis module is used for analyzing the area condition of the forest supervision area, obtaining an area supervision value of the forest supervision area and sending the area supervision value to the protection setting module through the server; the protection setting module is used for setting the forest protection level of the forest supervision area, the forest protection level of the forest supervision area is set and fed back to the server, the server sets the acquisition interval duration of the forest supervision area according to the forest protection level and sends the acquisition interval duration to the monitoring and early warning terminal, and meanwhile, the server also sends the forest protection level of the forest supervision area to the intelligent patrol module;
the monitoring and early warning terminal is used for collecting real-time environment data in a forest monitoring area according to the collection interval time length and sending the real-time environment data to the real-time monitoring module through the server; the real-time monitoring module is used for monitoring the forest supervision area in real time to obtain a real-time early warning value of the forest supervision area or a generated immediate patrol signal, the real-time early warning value or the generated immediate patrol signal is fed back to the server, if the server receives the immediate patrol signal, the immediate patrol signal is sent to the patrol terminal, meanwhile, the monitoring early warning terminal generates a positioning signal and sends the positioning signal to the corresponding patrol terminal, the patrol terminal is used for patrolling the abnormal forest supervision area according to the positioning signal, and if the server receives the real-time early warning value of the forest supervision area, the real-time early warning value is sent to the intelligent patrol module;
the intelligent patrol module is used for intelligently patrol the forest supervision area to obtain patrol grade of the forest supervision area, the patrol grade of the forest supervision area is fed back to the server, the server sends the patrol grade of the forest supervision area to the display terminal and the patrol terminal, the display terminal is used for displaying the protection grade of the forest supervision area, and the patrol terminal patrol the forest supervision area according to the patrol grade.
Further, the historical safety data are the number of times of fire occurrence in a forest supervision area, the occurrence time, the duration and the fire passing area of each fire;
the regional resource data are the water source number in the forest supervision area, the water source area and the water source amount of each water source, the tree amount and the market price of each tree in the forest supervision area;
the real-time environment data comprise real-time images shot by all monitoring and early-warning terminals in the forest supervision area and real-time temperature values acquired by all monitoring and early-warning terminals in the forest supervision area.
Further, the analysis process of the history security analysis module is specifically as follows:
acquiring the number of times of fire occurrence in a forest supervision area;
if the number of fire occurrence times of the forest supervision area is zero, the historical supervision value of the forest supervision area is zero;
if the number of times of fire occurrence in the forest supervision area is not zero, acquiring the occurrence time of each fire in the forest supervision area, calculating the difference value of adjacent occurrence times to obtain a plurality of groups of occurrence interval time, adding and summing the plurality of groups of occurrence interval time to obtain the average value of the fire occurrence interval time of the forest supervision area, then acquiring the duration of each fire in the forest supervision area, adding and summing the duration of each fire to obtain the duration of the fire in the forest supervision area, finally acquiring the overfire area of each fire in the forest supervision area, adding and summing the overfire area of each fire to divide the number of times of fire occurrence to obtain the overfire area of the forest supervision area, and calculating the historical supervision value of the forest supervision area.
Further, the analysis process of the area analysis module is specifically as follows:
acquiring the number of water sources in a forest supervision area;
then, the water source area and the water source amount of each water source in the forest supervision area are obtained, and the water source area and the water source amount of each water source are added and summed to obtain the total water source area and the total water source amount of the forest supervision area;
simultaneously obtaining the tree quantity and market price of each tree in the forest supervision area, multiplying the tree quantity by the corresponding market price to obtain the market total price of each tree in the forest supervision area, and summing the market total price of each tree to obtain the tree total price in the forest supervision area;
and calculating the regional supervision value of the forest supervision region.
Further, the setting process of the protection setting module is specifically as follows:
acquiring a historical supervision value and an area supervision value of a forest supervision area;
calculating a forest supervision value of a forest supervision area;
the forest supervision values are compared with the forest supervision threshold values, and the forest protection level of the forest supervision area is judged to be a third forest protection level, a second forest protection level or a first forest protection level.
Further, the first forest protection level is higher than the second forest protection level, which is higher than the third forest protection level;
the acquisition interval duration of the first forest protection level is shorter than the acquisition interval duration of the second forest protection level, and the acquisition interval duration of the second forest protection level is shorter than the acquisition interval duration of the third forest protection level.
Further, the real-time monitoring process of the real-time monitoring module is specifically as follows;
acquiring real-time images shot by all monitoring and early-warning terminals in a forest supervision area, and calculating to obtain total pixel points of the real-time images shot by the monitoring and early-warning terminals in the forest supervision area according to the length and the width of the real-time images;
then, extracting and counting the pixel points of the analog flame color in the real-time image, and comparing the number of the pixel points of the analog flame color with the total pixel points to obtain the flame approximation ratio of the real-time image shot by the monitoring and early warning terminal in the forest supervision area;
traversing the flame approximation ratio of the real-time image shot by the monitoring and early-warning terminal in the forest supervision area to obtain the maximum value of the flame approximation ratio as the flame early-warning value of the forest supervision area;
simultaneously acquiring real-time temperature values acquired by all monitoring and early-warning terminals in the forest supervision area, and traversing the maximum value of the real-time temperature values as the temperature early-warning value of the forest supervision area;
calculating a real-time early warning value of a forest supervision area;
if the real-time early warning value is greater than or equal to the real-time early warning threshold value, generating an immediate patrol signal;
if the real-time early warning value is smaller than the real-time early warning threshold value, no operation is performed.
Further, the real-time monitoring module feeds back a real-time early warning value or a generated immediate patrol signal of the forest supervision area to the server;
if the server receives the immediate patrol signal, the immediate patrol signal is sent to the patrol terminal, and meanwhile, the monitoring and early warning terminal generates a positioning signal and sends the positioning signal to the corresponding patrol terminal, and the patrol terminal is used for carrying out patrol on an abnormal forest supervision area according to the positioning signal;
and if the server receives the real-time early warning value of the forest supervision area, the real-time early warning value is sent to the intelligent patrol module.
Further, the working process of the intelligent patrol module is specifically as follows:
acquiring a forest protection level and a real-time early warning value of a forest supervision area, and acquiring a forest patrol coefficient corresponding to the forest supervision area according to the forest protection level;
calculating a patrol value of a forest supervision area;
and judging that the patrol grade of the forest supervision area is the first patrol grade, the second patrol grade or the third patrol grade according to the patrol value.
Further, the first patrol grade is higher than the second patrol grade, which is higher than the third patrol grade.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention utilizes the regional division module to divide the forest range into a plurality of forest supervision areas, then utilizes the historical safety analysis module to analyze the historical safety condition of the forest supervision areas to obtain the historical supervision value of the forest supervision areas, and utilizes the regional analysis module to analyze the regional condition of the forest supervision areas to obtain the regional supervision value of the forest supervision areas, and the protection setting module combines the historical supervision value and the regional supervision value to set the forest protection level of the forest supervision areas and sets the forest protection level of the forest supervision areas, and combines the historical fire factor and the regional resource factor to set the protection level of different forest areas;
2. according to the invention, the real-time monitoring module is used for monitoring the forest supervision area in real time to obtain a real-time early warning value of the forest supervision area or a generated immediate patrol signal, if the immediate patrol signal is generated, the patrol terminal is used for patrol the appointed forest supervision area in combination with the positioning information, otherwise, the real-time early warning value of the forest supervision area is sent to the intelligent patrol module, the intelligent patrol module is used for intelligently patrol the forest supervision area to obtain the patrol grade of the forest supervision area, and the patrol terminal is used for patrol the forest supervision area according to the patrol grade.
Drawings
The present invention 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 block diagram of the operation of the present invention;
fig. 2 is a schematic block diagram of a forest protection fire safety supervision system according to the invention.
Detailed Description
The technical solutions of the present invention 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 invention, not all embodiments. 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.
In an embodiment, please refer to fig. 1-2, a forest protection fireproof safety supervision system is mainly used for safety supervision in a forest range, and comprises a plurality of monitoring and early warning terminals, a server, a display terminal and a patrol terminal which are arranged in the forest range, wherein the server is connected with a regional division module, a storage recording module, a historical safety analysis module, a protection setting module, a regional analysis module, a real-time monitoring module and an intelligent patrol module;
in a specific implementation, the area dividing module is used for dividing a forest range, dividing a plurality of forest supervision areas u, adding a standard area number, and feeding back to the server, wherein u=1, 2, … …, z and z are positive integers, and the area dividing module can be used for dividing a contract area or a specific boundary line, and the specific boundary line can be set by a worker;
the storage recording module is used for storing the historical safety data of the forest supervision area, transmitting the corresponding historical safety data to the server according to the area number, and transmitting the historical safety data to the historical safety analysis module by the server;
the specific explanation is that the historical safety data is the number of times of fire occurrence in a forest supervision area, the occurrence time, the duration and the fire passing area of each fire;
the historical safety analysis module is used for analyzing the historical safety condition of the forest supervision area, and the analysis process is specifically as follows:
acquiring the number FCu of fire occurrence times of the forest supervision area, if the number of fire occurrence times of the forest supervision area is zero, the historical supervision value of the forest supervision area is zero, and if the number of fire occurrence times of the forest supervision area is not zero, entering the next step;
then acquiring the occurrence time of each fire in the forest supervision area, calculating the difference value of adjacent occurrence time to obtain a plurality of groups of occurrence interval time, adding and summing the plurality of groups of occurrence interval time to obtain an average value to obtain the fire occurrence interval time JTu of the forest supervision area;
acquiring the duration of each fire in the forest supervision area, and adding and summing the duration of each fire to obtain the duration CTu of each fire in the forest supervision area;
meanwhile, acquiring the fire passing area of each fire disaster in the forest supervision area, and adding and summing the fire passing areas of each fire disaster and dividing the fire passing areas by the occurrence times of the fire disasters to obtain the fire passing area HMu of the forest supervision area;
the historical supervision value LJu of the forest supervision area is obtained through calculation according to a formula LJu = (FCu + CTu + HMu)/JTu;
the historical security analysis module feeds back a historical supervision value LJu of the forest supervision area to the server, and the server sends a historical supervision value LJu of the forest supervision area to the protection setting module;
the storage recording module is also used for recording the regional resource data of the forest supervision region, transmitting the corresponding regional resource data to the server according to the regional number, and transmitting the regional resource data to the regional analysis module by the server;
the regional resource data is the number of water sources in the forest supervision area, the water source area and the water source amount of each water source, the regional resource data is the tree amount, the market price and the like of each tree in the forest supervision area, wherein the market price is obtained by adding and summing the market prices of different varieties of trees in the previous week and taking the average value;
the area analysis module is used for analyzing the area condition of the forest supervision area, and the analysis process is specifically as follows:
acquiring the water source number in a forest supervision area, and recording the water source number as SSu;
then, the water source area and the water source amount of each water source in the forest supervision area are obtained, and the water source area and the water source amount of each water source are added and summed to obtain the total water source area SMu and the total water source SLu of the forest supervision area;
simultaneously obtaining the tree quantity and market price of each tree in the forest supervision area, multiplying the tree quantity by the corresponding market price to obtain the market total price of each tree in the forest supervision area, and adding and summing the market total price of each tree to obtain the tree total price SZu in the forest supervision area;
the regional supervision value QJu of the forest supervision region is calculated by the formula QJu = SZu/(ssu+ SMu +slu);
the area analysis module feeds the area supervision value QJu of the forest supervision area back to the server, and the server sends the area supervision value QJu to the protection setting module; the protection setting module is used for setting the forest protection level of the forest supervision area, and the setting process is specifically as follows:
acquiring the historical supervision value LJu and the regional supervision value QJu of the forest supervision region obtained through calculation;
forest supervision value SJu of the forest supervision area is calculated by the formula SJu = LJu ×a1+ QJu ×a2; wherein a1 and a2 are proportionality coefficients with fixed values, and the values of a1 and a2 are larger than zero;
if SJu is less than or equal to X1, the forest protection grade of the forest supervision area is a third forest protection grade;
if X1 is less than SJu and less than or equal to X2, the forest protection grade of the forest supervision area is a second forest protection grade;
if X2 is less than SJu, the forest protection grade of the forest supervision area is the first forest protection grade; wherein X1 and X2 are forest supervision thresholds with fixed values, and X1 is less than X2;
it is understood that the first forest protection level is higher than the second forest protection level, which is higher than the third forest protection level;
the protection setting module feeds back the forest protection level of the forest supervision area to the server, the server sets the acquisition interval duration of the forest supervision area according to the forest protection level, and sends the acquisition interval duration to the monitoring and early warning terminal, and meanwhile, the server also sends the forest protection level of the forest supervision area to the intelligent patrol module;
the collection interval duration of the first forest protection level is shorter than the collection interval duration of the second forest protection level, and the collection interval duration of the second forest protection level is shorter than the collection interval duration of the third forest protection level;
in this example, the monitoring and early warning terminal is used for collecting real-time environmental data in a forest supervision area according to the collection interval time length, and sending the real-time environmental data to a server, and the server sends the real-time environmental data to a real-time monitoring module;
the method specifically needs to be explained, the real-time environment data comprise real-time images shot by all monitoring and early-warning terminals in a forest supervision area and real-time temperature values acquired by all monitoring and early-warning terminals in the forest supervision area, the real-time images and the real-time temperature values are all data acquired by the monitoring and early-warning terminals when the acquisition interval duration is reached, and the real-time images are shot in an omnibearing manner;
specifically, the monitoring and early warning terminal is an acquisition device arranged in a forest supervision area, wherein only one group of monitoring and early warning terminals can be arranged in one group of forest supervision area, and multiple groups of monitoring and early warning terminals can be arranged in the same, and the monitoring and early warning terminals are set according to the area of the forest supervision area when being initially arranged, namely, the group of monitoring and early warning terminals can radiate the fixed area in the forest supervision area, and the acquisition device comprises a host computer, an installation upright pole, a solar power supply system, a lithium storage battery, a control core main board, a pyroelectric induction (infrared induction) detector, a digital analysis sensor (radar), a red and blue warning lamp, an LED electronic screen, a video acquisition camera and the like;
the real-time monitoring module is used for monitoring the forest supervision area in real time, and the real-time monitoring process is specifically as follows;
acquiring real-time images shot by all monitoring and early-warning terminals in a forest supervision area, and calculating to obtain total pixel points of the real-time images shot by the monitoring and early-warning terminals in the forest supervision area according to the length and the width of the real-time images;
then extracting and counting the pixel points of the analog flame color in the real-time image, comparing the number of the pixel points of the analog flame color with the total pixel points to obtain a flame approximation ratio HBui of the real-time image shot by the monitoring and early-warning terminal in the forest supervision area, wherein i=1, 2, … …, x and x are positive integers, and i represents the number of the monitoring and early-warning terminal in the forest supervision area; wherein the analogous flame color is specifically a color approximating a flame, including dark red, orange, yellow, blue-white, etc.;
traversing the flame approximation ratio of the real-time image shot by the monitoring and early-warning terminal in the forest supervision area to obtain a maximum value of the flame approximation ratio as a flame early-warning value HYu of the forest supervision area;
simultaneously acquiring real-time temperature values acquired by all monitoring and early-warning terminals in the forest supervision area, and traversing the maximum value of the real-time temperature values to serve as a temperature early-warning value WYu of the forest supervision area;
calculating to obtain a real-time early warning value SYu of the forest supervision area through a formula SYu = HYu × WYu;
if the real-time early warning value is larger than or equal to the real-time early warning threshold value, generating an immediate patrol signal, and if the real-time early warning value is smaller than the real-time early warning threshold value, not performing any operation;
the real-time monitoring module feeds back a real-time early warning value SYu or a generated immediate patrol signal of the forest supervision area to the server, if the server receives the immediate patrol signal, the immediate patrol signal is sent to the patrol terminal, meanwhile, the monitoring early warning terminal generates a positioning signal and sends the positioning signal to a corresponding patrol terminal, the patrol terminal is used for patrolling the abnormal forest supervision area according to the positioning signal, and if the server receives a real-time early warning value SYu of the forest supervision area, the real-time early warning value SYu of the forest supervision area is sent to the intelligent patrol module;
the intelligent patrol module is used for intelligent patrol of forest supervision areas, and the working process is specifically as follows:
the forest protection grade and the real-time early warning value SYu of the forest supervision area are obtained, and the forest patrol coefficient XXu corresponding to the forest supervision area is obtained according to the forest protection grade, specifically:
if the forest protection level is the first forest protection level, the value of the forest patrol coefficient XXu corresponding to the forest supervision area is alpha 3;
if the forest is the second forest protection level, the value of the forest patrol coefficient XXu corresponding to the forest supervision area is alpha 2;
if the forest is the third forest protection level, the value of the forest patrol coefficient XXu corresponding to the forest supervision area is alpha 1; wherein, alpha 1, alpha 2 and alpha 3 are positive numbers with fixed values, and 0 < alpha 1 < alpha 2 < alpha 3;
calculating to obtain a patrol value XHu of the forest supervision area by using a formula XHu = XXu × SYu;
the patrol grade of the forest supervision area is specified according to the patrol value
If XHu is more than or equal to Y2, the forest supervision area is the first patrol grade;
if Y2 is more than XHu and is more than or equal to Y1, the forest supervision area is the second patrol grade;
if Y1 is more than XHu, the forest supervision area is a third patrol grade; wherein Y1 and Y2 are the patrol thresholds with fixed values, and Y1 is less than Y2, the grade of the first patrol grade is higher than the grade of the second patrol grade, and the grade of the second patrol grade is higher than the grade of the third patrol grade;
the intelligent patrol module feeds the patrol grade of the forest supervision area back to the server, the server sends the patrol grade of the forest supervision area to the display terminal and the patrol terminal, the display terminal is used for displaying the protection grade of the forest supervision area, and the patrol terminal patrol the forest supervision area according to the patrol grade, and particularly patrol is carried out according to the patrol grade from high to low;
specifically, the display terminal is a display large screen provided with a forest supervision center.
In the present application, if a corresponding calculation formula appears, the above calculation formulas are all dimensionality-removed and numerical calculation, and the size of the weight coefficient, the scale coefficient and other coefficients existing in the formulas is a result value obtained by quantizing each parameter, so long as the proportional relation between the parameter and the result value is not affected.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention 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 invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The forest protection fireproof safety supervision system comprises a monitoring and early warning terminal, a server, a display terminal and a patrol terminal, and is characterized in that the server is connected with a region dividing module, a storage recording module, a historical safety analysis module, a protection setting module, a region analysis module, a real-time monitoring module and an intelligent patrol module; the region dividing module is used for dividing a forest range to obtain a plurality of forest supervision regions and adding a mark region number; the storage recording module sends the corresponding historical safety data to the historical safety analysis module and sends the corresponding regional resource data to the regional analysis module according to the regional numbers;
the historical safety analysis module is used for analyzing the historical safety condition of the forest supervision area, and the analysis process is specifically as follows:
acquiring the number of times of fire occurrence in a forest supervision area;
if the number of fire occurrence times of the forest supervision area is zero, the historical supervision value of the forest supervision area is zero;
if the number of times of fire occurrence in the forest supervision area is not zero, acquiring the occurrence time of each fire in the forest supervision area, calculating the difference value of adjacent occurrence times to obtain a plurality of groups of occurrence interval time, adding and summing the plurality of groups of occurrence interval time to obtain the average value of the occurrence interval time of the fire in the forest supervision area, then acquiring the duration of each fire in the forest supervision area, adding and summing the duration of each fire to obtain the duration of the fire in the forest supervision area, finally acquiring the overfire area of each fire in the forest supervision area, adding and summing the overfire area of each fire to divide the number of times of fire occurrence to obtain the overfire area of the forest supervision area, and calculating the historical supervision value of the forest supervision area;
the historical security analysis module monitors historical monitoring values of forest monitoring areas; the area analysis module is used for analyzing the area condition of the forest supervision area, and the analysis process is specifically as follows:
acquiring the number of water sources in a forest supervision area;
then, the water source area and the water source amount of each water source in the forest supervision area are obtained, and the water source area and the water source amount of each water source are added and summed to obtain the total water source area and the total water source amount of the forest supervision area;
simultaneously obtaining the tree quantity and market price of each tree in the forest supervision area, multiplying the tree quantity by the corresponding market price to obtain the market total price of each tree in the forest supervision area, and summing the market total price of each tree to obtain the tree total price in the forest supervision area;
calculating an area supervision value of a forest supervision area;
the area analysis module monitors the area monitoring value of the forest monitoring area; the protection setting module is used for setting the forest protection level of the forest supervision area and setting the forest protection level of the forest supervision area;
the setting process of the protection setting module is specifically as follows:
acquiring a historical supervision value and an area supervision value of a forest supervision area;
calculating a forest supervision value of a forest supervision area;
the forest supervision value is compared with a forest supervision threshold value, and the forest protection level of the forest supervision area is judged to be a third forest protection level, a second forest protection level or a first forest protection level, specifically:
acquiring a historical supervision value LJu and an area supervision value QJu of a forest supervision area;
according to a formula SJu = LJu ×a1+ QJu ×a2, calculating to obtain a forest supervision value SJu of the forest supervision area, wherein a1 and a2 are proportionality coefficients of fixed values, and the values of a1 and a2 are larger than zero;
if SJu is less than or equal to X1, the forest protection grade of the forest supervision area is a third forest protection grade;
if X1 is less than SJu and less than or equal to X2, the forest protection grade of the forest supervision area is a second forest protection grade;
if X2 is less than SJu, the forest protection grade of the forest supervision area is the first forest protection grade; wherein X1 and X2 are forest supervision thresholds with fixed values, and X1 is less than X2;
the server sets the acquisition interval duration of the forest supervision area according to the forest protection level, sends the acquisition interval duration to the monitoring and early warning terminal, and sends the forest protection level to the intelligent patrol module; the monitoring and early warning terminal is used for collecting real-time environment data in the forest monitoring area according to the collection interval duration;
the real-time monitoring module is used for monitoring the forest supervision area in real time, and the real-time monitoring process is specifically as follows;
acquiring real-time images shot by all monitoring and early-warning terminals in a forest supervision area, and calculating to obtain total pixel points of the real-time images shot by the monitoring and early-warning terminals in the forest supervision area according to the length and the width of the real-time images;
then, extracting and counting the pixel points of the analog flame color in the real-time image, and comparing the number of the pixel points of the analog flame color with the total pixel points to obtain the flame approximation ratio of the real-time image shot by the monitoring and early warning terminal in the forest supervision area;
traversing the flame approximation ratio of the real-time image shot by the monitoring and early-warning terminal in the forest supervision area to obtain a maximum value of the flame approximation ratio as a flame early-warning value HYu of the forest supervision area;
simultaneously acquiring real-time temperature values acquired by all monitoring and early-warning terminals in the forest supervision area, and traversing the maximum value of the real-time temperature values to serve as a temperature early-warning value WYu of the forest supervision area;
calculating real-time early warning values of forest supervision areas, in particular,
calculating to obtain a real-time early warning value SYu of a forest supervision area through a formula SYu = HYu × WYu, wherein HYu is a flame early warning value of the forest supervision area, and WYu is a temperature early warning value of the forest supervision area;
if the real-time early warning value is greater than or equal to the real-time early warning threshold value, generating an immediate patrol signal;
if the real-time early warning value is smaller than the real-time early warning threshold value, no operation is performed;
if the immediate patrol signal is generated, the immediate patrol signal is sent to the patrol terminal; the monitoring and early warning terminal generates a positioning signal and sends the positioning signal to the corresponding patrol terminal, the patrol terminal is used for patrol the abnormal forest supervision area according to the positioning signal, otherwise, the real-time early warning value is sent to the intelligent patrol module, and the intelligent patrol module is used for intelligently patrol the forest supervision area, and the working process is as follows:
the forest supervision area forest protection level and the real-time early warning value are obtained, and the forest patrol coefficient corresponding to the forest supervision area is obtained according to the forest protection level, specifically:
if the forest protection level is the first forest protection level, the value of the forest patrol coefficient XXu corresponding to the forest supervision area is alpha 3;
if the forest is the second forest protection level, the value of the forest patrol coefficient XXu corresponding to the forest supervision area is alpha 2;
if the forest is the third forest protection level, the value of the forest patrol coefficient XXu corresponding to the forest supervision area is alpha 1; wherein, alpha 1, alpha 2 and alpha 3 are positive numbers with fixed values, and 0 < alpha 1 < alpha 2 < alpha 3;
calculating a patrol value XHu of the forest supervision area according to the forest patrol coefficient, specifically, calculating a patrol value XHu of the forest supervision area by using a formula XHu = XXu × SYu;
judging whether the patrol grade of the forest supervision area is a first patrol grade, a second patrol grade or a third patrol grade according to the patrol value XHu, specifically:
if XHu is more than or equal to Y2, the forest supervision area is the first patrol grade;
if Y2 is more than XHu and is more than or equal to Y1, the forest supervision area is the second patrol grade;
if Y1 is more than XHu, the forest supervision area is a third patrol grade; wherein Y1 and Y2 are the patrol thresholds with fixed values, and Y1 is less than Y2, the grade of the first patrol grade is higher than the grade of the second patrol grade, and the grade of the second patrol grade is higher than the grade of the third patrol grade;
the display terminal is used for displaying the protection level of the forest supervision area, and the patrol terminal patrol the forest supervision area according to the patrol level.
2. A forest protection fire safety supervision system according to claim 1, wherein the historical safety data is the number of fire occurrences in the forest supervision area and the time of occurrence, duration and area of overfire for each fire;
the regional resource data are the water source number in the forest supervision area, the water source area and the water source amount of each water source, the tree amount and the market price of each tree in the forest supervision area;
the real-time environment data comprise real-time images shot by all monitoring and early-warning terminals in the forest supervision area and real-time temperature values acquired by all monitoring and early-warning terminals in the forest supervision area.
3. A forest protection fire safety supervision system according to claim 1, wherein the first forest protection level is higher than the second forest protection level, which is higher than the third forest protection level;
the acquisition interval duration of the first forest protection level is shorter than the acquisition interval duration of the second forest protection level, and the acquisition interval duration of the second forest protection level is shorter than the acquisition interval duration of the third forest protection level.
4. The forest protection fireproof safety supervision system according to claim 1, wherein the real-time monitoring module feeds back a real-time early warning value or a generated immediate patrol signal of the forest supervision area to the server;
if the server receives the immediate patrol signal, the immediate patrol signal is sent to the patrol terminal, and meanwhile, the monitoring and early warning terminal generates a positioning signal and sends the positioning signal to the corresponding patrol terminal, and the patrol terminal is used for carrying out patrol on an abnormal forest supervision area according to the positioning signal;
and if the server receives the real-time early warning value of the forest supervision area, the real-time early warning value is sent to the intelligent patrol module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310330855.XA CN116050715B (en) | 2023-03-31 | 2023-03-31 | Forest protection fireproof safety supervision system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310330855.XA CN116050715B (en) | 2023-03-31 | 2023-03-31 | Forest protection fireproof safety supervision system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN116050715A CN116050715A (en) | 2023-05-02 |
CN116050715B true CN116050715B (en) | 2024-01-05 |
Family
ID=86120429
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310330855.XA Active CN116050715B (en) | 2023-03-31 | 2023-03-31 | Forest protection fireproof safety supervision system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116050715B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116246407B (en) * | 2023-05-04 | 2023-08-01 | 浙江农林大学 | Agriculture and forestry area fire early warning supervisory systems based on artificial intelligence |
CN116703020B (en) * | 2023-08-08 | 2023-11-03 | 吉林省林业科学研究院(吉林省林业生物防治中心站) | Optimization management and control system and method for intelligent forestry |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2338566C1 (en) * | 2007-04-28 | 2008-11-20 | Московский государственный университет леса | Method of forest fire site location |
CN110390789A (en) * | 2019-08-21 | 2019-10-29 | 深圳云感物联网科技有限公司 | Forest fire protection data analysis system based on big data |
CN112669486A (en) * | 2020-07-16 | 2021-04-16 | 广元量知汇科技有限公司 | Management system is patrolled and examined in wisdom security protection |
CN113760642A (en) * | 2021-02-10 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Monitoring processing method and device |
CN114202883A (en) * | 2021-12-10 | 2022-03-18 | 安吉县自然资源和规划局 | Intelligent forest fire prevention and control system |
CN115482137A (en) * | 2022-09-22 | 2022-12-16 | 深圳市合广测控技术有限公司 | Intelligent security system for intelligent building |
CN115861937A (en) * | 2022-12-27 | 2023-03-28 | 华洋通信科技股份有限公司 | Belt conveyor intelligent monitoring system based on AI image recognition and deep learning |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102280005B (en) * | 2011-06-09 | 2014-10-29 | 广州飒特红外股份有限公司 | Early warning system for fire prevention of forest based on infrared thermal imaging technology and method |
-
2023
- 2023-03-31 CN CN202310330855.XA patent/CN116050715B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2338566C1 (en) * | 2007-04-28 | 2008-11-20 | Московский государственный университет леса | Method of forest fire site location |
CN110390789A (en) * | 2019-08-21 | 2019-10-29 | 深圳云感物联网科技有限公司 | Forest fire protection data analysis system based on big data |
CN112669486A (en) * | 2020-07-16 | 2021-04-16 | 广元量知汇科技有限公司 | Management system is patrolled and examined in wisdom security protection |
CN113760642A (en) * | 2021-02-10 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Monitoring processing method and device |
CN114202883A (en) * | 2021-12-10 | 2022-03-18 | 安吉县自然资源和规划局 | Intelligent forest fire prevention and control system |
CN115482137A (en) * | 2022-09-22 | 2022-12-16 | 深圳市合广测控技术有限公司 | Intelligent security system for intelligent building |
CN115861937A (en) * | 2022-12-27 | 2023-03-28 | 华洋通信科技股份有限公司 | Belt conveyor intelligent monitoring system based on AI image recognition and deep learning |
Also Published As
Publication number | Publication date |
---|---|
CN116050715A (en) | 2023-05-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN116050715B (en) | Forest protection fireproof safety supervision system | |
CN101661658A (en) | Infrared image detection alarm device | |
CN115194785A (en) | Intelligent power grid inspection robot with laser scanning function | |
CN114743370B (en) | Enterprise park security monitoring system based on internet | |
CN116432989B (en) | Intelligent construction-based construction site safety control system | |
CN111505436A (en) | Electric power communication analysis system based on big data | |
CN201435784Y (en) | Network video monitoring system | |
CN110241791A (en) | A kind of intelligent sluice group remote monitoring system based on GIS | |
CN117575857A (en) | Campus security management system based on wisdom campus | |
CN105811578A (en) | Power transmission line monitoring platform, power source monitoring algorithm thereof and image early warning algorithm of power transmission line monitoring platform | |
CN111830891A (en) | Community security monitoring system based on data acquisition | |
CN116667533A (en) | Intelligent dog inspection system | |
CN115664006B (en) | Intelligent management and control integrated platform for incremental power distribution network | |
CN208400184U (en) | Electricity power enterprise's information cruising inspection system device based on PI intelligence | |
CN217278938U (en) | Area array laser radar-based slag falling real-time detection system | |
CN215448029U (en) | Power cable monitored control system based on thing networking loRa | |
CN114495386A (en) | Intelligent monitoring and early warning system and method for blast furnace gas diffusion | |
CN112508328B (en) | Ecological quality monitoring system and method for natural protected land | |
CN113673377A (en) | Construction and working method of multi-target spontaneous combustion point identification and positioning model of coal pile of thermal power plant | |
CN112183337A (en) | Detection method and device for preventing mechanical invasion of power transmission line | |
CN107290768A (en) | A kind of dose of radiation monitoring system and detection method | |
CN210536792U (en) | Haze monitoring all-in-one of shooing | |
CN115578832B (en) | Wireless monitoring alarm system applied to fire-fighting Internet of things | |
CN116915960B (en) | Mountain fire prevention monitoring method, device and system and monitoring terminal | |
CN117669898B (en) | Intelligent security monitoring management system based on Internet of things |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |