Forest fire automatic identification and alarm method

Abstract

The invention discloses a forest fire automatic identification and alarm method. The method comprises the following steps: acquiring a target parameter measurement value of a target area; comparing the target parameter measurement value with a first average value of the first parameter measurement values in the first time period to obtain a first comparison difference value of the target parameter; when the first comparison difference value is greater than a first threshold value, judging an early warning state, and sending early warning information to the terminal equipment; and performing average calculation on the target parameter measurement values in the second time to obtain a second calculated average value, comparing the second calculated average value with the first average value, and when a second comparison difference value between the second calculated average value and the first average value is greater than a second threshold value, judging an alarm state, and sending alarm information to the terminal equipment. According to the invention, the fire behavior is graded through data comparison difference, so that different risk levels are obtained, early warning or alarming of different degrees is carried out, and processing can be carried out according to the alarming levels.

Description

Technical Field

[0001] The invention relates to the technical field of fire early warning, and in particular to a method for automatically identifying and alarming forest fires. Background Art

[0002] Forest fire is a serious natural disaster that poses a major threat to the ecological environment and the safety of people's lives and property. Traditional forest fire prevention mainly relies on human patrols. However, due to the large forest area and complex terrain, human patrols have many difficulties, such as high labor costs, low efficiency, and poor information transmission. In addition, with global climate change, the frequency and severity of forest fires are also increasing, and traditional fire prevention methods can no longer meet actual needs.

[0003] In recent years, with the rapid development of the Internet of Things and artificial intelligence technologies, more and more new technologies have been applied to the field of forest fire prevention. However, most of the existing forest fire identification methods rely on simple sensor monitoring. Although these methods can warn of fires to a certain extent, they have problems such as high false alarm rate and low recognition accuracy. Therefore, it is particularly important to develop an efficient and accurate forest fire automatic identification and alarm method. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned technical problems and provide a forest fire automatic identification and alarm method.

[0005] The present invention provides a forest fire automatic identification and alarm method, comprising the following steps:

[0006] Obtaining target parameter measurement values ​​of the target area;

[0007] Compare the target parameter measurement value with a first average value of the first parameter measurement value in a first time period to obtain a first comparison difference of the target parameter; the first parameter measurement value is a measurement value of the same parameter corresponding to the target parameter measurement value at different times;

[0008] When the first comparison difference is greater than the first threshold, it is judged as a warning state, and a warning message is sent to the terminal device;

[0009] A second calculated average value is obtained by averaging the target parameter measurement values ​​within the second time, and the second calculated average value is compared with the first average value. When a second comparison difference between the second calculated average value and the first average value is greater than a second threshold, it is determined to be an alarm state, and an alarm message is sent to the terminal device;

[0010] The first time is a time period of a certain length before the current time when there is no fire warning information; the second time is a time period of a certain length after the warning information is issued;

[0011] The second threshold is greater than the first threshold.

[0012] Furthermore, the target parameter measurement values ​​include the real-time image of the target area, the temperature, humidity, and the smoke concentration measurement values. By collecting multiple parameters, it can be more comprehensive and avoid false alarms caused by a data change due to weather and other reasons.

[0013] Further, after determining that it is the alarm stage, the geographical location of the target area is obtained, the locations of the first batch of fire stations within the first distance range around the target area are obtained, and alarm information is sent to the first batch of fire stations;

[0014] When the second comparison difference between the second calculated average value and the first average value is greater than the third threshold, it is judged to be a level 2 fire.

[0015] Obtain the locations of the second batch of fire stations within the second distance range around the target area, and send alarm information to the second batch of fire stations;

[0016] The second distance is greater than the first distance; the third threshold is greater than the second threshold. Different alarm information is issued according to the different levels of the parameters. When the fire level is low, the alarm information is issued to the nearby fire stations. When the fire level is high, the alarm information is issued to the second batch of fire stations far away, so as to facilitate more fire stations to handle the fire, avoid the situation that the fire cannot be handled due to the shortage of materials in the nearby area, and improve the efficiency of fire handling.

[0017] Furthermore, the alarm information includes a picture of the fire area and the distance between the target area and the corresponding fire station. By providing more comprehensive information, it is convenient for the processing personnel to respond correctly according to the information.

[0018] Furthermore, after the alarm stage is determined, the frequency of obtaining the target parameter measurement value of the target area is increased. After the fire is determined, the processing frequency is increased, so that the fire information can be updated more quickly, which is convenient for response and processing.

[0019] Furthermore, after determining to be in the alarm stage, the adjacent area parameter measurement values ​​of the adjacent areas of the target area are obtained, and the adjacent area parameter measurement values ​​are compared with the first average values ​​of the adjacent areas to obtain a third comparison difference, and when the third comparison difference is greater than the first threshold, an alarm message is sent to the terminal device.

[0020] Another aspect of the present invention provides a forest fire automatic identification and alarm system, comprising:

[0021] A data acquisition module, wherein the data acquisition module is used to measure target parameter values ​​of a target area;

[0022] A data analysis module, the data analysis module is used to compare the target parameter measurement value with the first average value of the first parameter measurement value within the first time period to obtain a first comparison difference of the target parameter; the first parameter measurement value is the measurement value of the same parameter corresponding to the target parameter measurement value at different times; when the first comparison difference is greater than a first threshold, it is judged to be a warning state, and a warning message is sent to the terminal device; the target parameter measurement value within the second time period is averaged to obtain a second calculated average value, the second calculated average value is compared with the first average value, and when the second comparison difference between the second calculated average value and the first average value is greater than a second threshold, it is judged to be an alarm state, and an alarm message is sent to the terminal device;

[0023] A data storage module, which is used to store data generated by the data acquisition module and the data analysis module;

[0024] An information display terminal is used to display alarm information.

[0025] Another aspect of the present invention provides an electronic device, which includes a display device, a memory and a processor.

[0026] The processor is used to execute the above-mentioned forest fire automatic identification and alarm method;

[0027] The memory is used to store instructions executable by the processor;

[0028] The display device is used to display information processed by the processor.

[0029] Another aspect of the present invention provides a storage medium storing a computer program, which is used to implement the above-mentioned forest fire automatic identification and alarm method when executed by a processor.

[0030] The present invention discloses a method for automatic identification and alarm of forest fires, which has the following beneficial effects: by collecting target area information and then comparing the information, the fire risk status in the area is obtained, and early warning or alarm is selected according to the risk status; by comparing the difference in data, the fire situation is classified, so as to obtain different risk levels, and then early warning or alarm of different degrees is carried out, which is convenient for processing according to the alarm level. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The present invention is a flowchart of a method for automatically identifying and alarming forest fires disclosed by the present invention.

[0032] Figure 2 The present invention is a schematic diagram of a forest fire automatic identification and alarm system disclosed in the present invention. DETAILED DESCRIPTION

[0033] The present invention is further described below by way of examples. The examples of the present invention are implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operation processes are given, but the protection scope of the present invention is not limited to the following examples:

[0034] Example method:

[0035] The present application provides a method for automatically identifying and alarming forest fires, such as Figure 1 As shown, the target parameter measurement values ​​of the target area are obtained.

[0036] Compare the target parameter measurement value with a first average value of the first parameter measurement value in a first time period to obtain a first comparison difference of the target parameter; the first parameter measurement value is a measurement value of the same parameter corresponding to the target parameter measurement value at different times;

[0037] When the first comparison difference is greater than the first threshold, it is judged as a warning state, and a warning message is sent to the terminal device;

[0038] A second calculated average value is obtained by averaging the target parameter measurement values ​​within the second time, and the second calculated average value is compared with the first average value. When a second comparison difference between the second calculated average value and the first average value is greater than a second threshold, it is determined to be an alarm state, and an alarm message is sent to the terminal device;

[0039] The first time is a time period of a certain length before the current time when there is no fire warning information; the second time is a time period of a certain length after the warning information is issued;

[0040] The second threshold is greater than the first threshold.

[0041] By adopting the above technical scheme, by collecting information of the target area and then comparing the information, the fire risk status in the area is obtained, and early warning or alarm is selected according to the risk status; the fire situation is graded by comparing the difference in data, so as to obtain different risk levels, and then different degrees of early warning or alarm are issued, which is convenient for processing according to the alarm level.

[0042] The target parameter measurement values ​​include the real-time image of the target area, the temperature, humidity, and the smoke concentration. By collecting multiple parameters, it can be more comprehensive and avoid false alarms caused by a data change due to weather and other reasons.

[0043] Among them, after it is determined to be the alarm stage, the geographical location of the target area is obtained, the locations of the first batch of fire stations within the first distance range around the target area are obtained, and alarm information is sent to the first batch of fire stations;

[0044] When the second comparison difference between the second calculated average value and the first average value is greater than the third threshold, it is judged to be a level 2 fire.

[0045] Obtain the locations of the second batch of fire stations within the second distance range around the target area, and send alarm information to the second batch of fire stations;

[0046] The second distance is greater than the first distance; the third threshold is greater than the second threshold. Different alarm information is issued according to the different levels of the parameters. When the fire level is low, the alarm information is issued to the nearby fire stations. When the fire level is high, the alarm information is issued to the second batch of fire stations far away, so as to facilitate more fire stations to handle the fire, avoid the situation that the fire cannot be handled due to the shortage of materials in the nearby area, and improve the efficiency of fire handling.

[0047] The alarm information includes a picture of the fire area and the distance between the target area and the corresponding fire station. By providing more comprehensive information, it is easier for the processing personnel to respond correctly according to the information.

[0048] Among them, after judging the alarm stage, the frequency of obtaining the target parameter measurement value of the target area is increased. After judging that there is a fire, the processing frequency is increased, so that the fire information can be updated more quickly, which is convenient for response and processing.

[0049] Among them, after judging as the alarm stage, the adjacent area parameter measurement value of the adjacent area of ​​the target area is obtained, and the adjacent area parameter measurement value is compared with the first average value of the adjacent area to obtain a third comparison difference. When the third comparison difference is greater than the first threshold, an alarm message is sent to the terminal device.

[0050] Example system:

[0051] A forest fire automatic identification and alarm system, such as Figure 2 As shown, including:

[0052] A data acquisition module, wherein the data acquisition module is used to measure target parameter values ​​of a target area;

[0053] A data analysis module, the data analysis module is used to compare the target parameter measurement value with the first average value of the first parameter measurement value within the first time period to obtain a first comparison difference of the target parameter; the first parameter measurement value is the measurement value of the same parameter corresponding to the target parameter measurement value at different times; when the first comparison difference is greater than a first threshold, it is judged to be a warning state, and a warning message is sent to the terminal device; the target parameter measurement value within the second time period is averaged to obtain a second calculated average value, the second calculated average value is compared with the first average value, and when the second comparison difference between the second calculated average value and the first average value is greater than a second threshold, it is judged to be an alarm state, and an alarm message is sent to the terminal device;

[0054] A data storage module, which is used to store data generated by the data acquisition module and the data analysis module;

[0055] An information display terminal is used to display alarm information.

[0056] Example device:

[0057] An electronic device comprising a display device, a memory and a processor,

[0058] The processor is used to execute the above-mentioned forest fire automatic identification and alarm method; the processor can be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and can control other components in the electronic device to perform desired functions;

[0059] The memory is used to store the processor executable instructions; the memory may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor may run the program instructions to implement a forest fire automatic identification and alarm method and / or other desired functions of the various embodiments of the present application described above;

[0060] The display device is used to display information processed by the processor; the display device may be a liquid crystal display screen. These components of the above electronic device are interconnected via a bus system and / or other forms of connection mechanisms.

[0061] Exemplary computer program products and computer readable storage media:

[0062] In addition to the above-mentioned methods and devices, an embodiment of the present disclosure may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of a method for automatic identification and alarm of forest fires according to various embodiments of the present disclosure described in the above-mentioned "Exemplary Method" section of this specification.

[0063] The computer program product may be written in any combination of one or more programming languages ​​to write program code for performing the operations of the disclosed embodiments, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device, partially on a remote computing device, or entirely on a remote computing device or server.

[0064] In addition, an embodiment of the present disclosure may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of a method for automatic identification and alarm of forest fires according to various embodiments of the present disclosure described in the above "Exemplary Method" section of this specification.

[0065] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0066] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0067] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0068] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0069] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0070] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A method for automatically identifying and alarming forest fires, characterized in that: The steps include: Obtaining target parameter measurement values ​​of the target area; Compare the target parameter measurement value with a first average value of the first parameter measurement value in a first time period to obtain a first comparison difference of the target parameter; the first parameter measurement value is a measurement value of the same parameter corresponding to the target parameter measurement value at different times; When the first comparison difference is greater than the first threshold, it is judged as a warning state, and a warning message is sent to the terminal device; A second calculated average value is obtained by averaging the target parameter measurement values ​​within the second time, and the second calculated average value is compared with the first average value. When a second comparison difference between the second calculated average value and the first average value is greater than a second threshold, it is determined to be an alarm state, and an alarm message is sent to the terminal device; The first time is a time period of a certain length before the current time when there is no fire warning information; the second time is a time period of a certain length after the warning information is issued; The second threshold is greater than the first threshold.

2. A forest fire automatic identification and alarm method as claimed in claim 1, characterized in that: The target parameter measurement values ​​include real-time images of the target area, and measurement values ​​of temperature, humidity, and smoke concentration.

3. A forest fire automatic identification and alarm method as claimed in claim 1, characterized in that: After determining that it is the alarm stage, the geographical location of the target area is obtained, the locations of the first batch of fire stations within the first distance range around the target area are obtained, and alarm information is sent to the first batch of fire stations; When the second comparison difference between the second calculated average value and the first average value is greater than the third threshold, it is judged to be a level 2 fire. Obtain the locations of the second batch of fire stations within the second distance range around the target area, and send alarm information to the second batch of fire stations; The second distance is greater than the first distance; and the third threshold is greater than the second threshold.

4. A forest fire automatic identification and alarm method as claimed in claim 3, characterized in that: The alarm information includes a picture of the fire area and the distance between the target area and the corresponding fire station.

5. A forest fire automatic identification and alarm method as claimed in claim 4, characterized in that: After it is determined to be in the alarm stage, the frequency of obtaining the target parameter measurement values ​​of the target area is increased.

6. A forest fire automatic identification and alarm method as claimed in claim 5, characterized in that: After determining to be the alarm stage, obtain the adjacent area parameter measurement value of the adjacent area of ​​the target area, compare the adjacent area parameter measurement value with the first average value of the adjacent area, obtain the third comparison difference, and when the third comparison difference is greater than the first threshold, send an alarm message to the terminal device.

7. A forest fire automatic identification and alarm system, characterized by: include: A data acquisition module, wherein the data acquisition module is used to measure target parameter values ​​of a target area; A data analysis module, the data analysis module is used to compare the target parameter measurement value with the first average value of the first parameter measurement value within the first time period to obtain a first comparison difference of the target parameter; the first parameter measurement value is the measurement value of the same parameter corresponding to the target parameter measurement value at different times; when the first comparison difference is greater than a first threshold, it is judged to be a warning state, and a warning message is sent to the terminal device; the target parameter measurement value within the second time period is averaged to obtain a second calculated average value, the second calculated average value is compared with the first average value, and when the second comparison difference between the second calculated average value and the first average value is greater than a second threshold, it is judged to be an alarm state, and an alarm message is sent to the terminal device; A data storage module, which is used to store data generated by the data acquisition module and the data analysis module; An information display terminal is used to display alarm information.

8. An electronic device, characterized in that: It includes a display device, a memory and a processor. The processor is used to execute the above-mentioned forest fire automatic identification and alarm method; The memory is used to store instructions executable by the processor; The display device is used to display information processed by the processor.

9. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, is used to implement a forest fire automatic identification and alarm method as claimed in any one of claims 1 to 7.

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