CN113240875A

CN113240875A - Forest fire prevention monitoring method and system

Info

Publication number: CN113240875A
Application number: CN202110531814.8A
Authority: CN
Inventors: 石焜
Original assignee: Beijing Liaowang Shenzhou Technology Co ltd
Current assignee: Beijing Liaowang Shenzhou Technology Co ltd
Priority date: 2021-05-17
Filing date: 2021-05-17
Publication date: 2021-08-10
Anticipated expiration: 2041-05-17
Also published as: CN113240875B

Abstract

The invention provides a forest fire prevention monitoring method and system, which relate to the Internet technology, and are characterized in that the method comprises the steps of acquiring acquisition information of a plurality of monitors in real time, acquiring a plurality of first spreading points according to the acquisition information, and generating a first predicted spreading path based on the plurality of first spreading points; detecting the working state of the monitor, and judging the damage type of the monitor according to the working state, wherein the damage type comprises a first type and a second type, the first type is used for indicating that the monitor is burnt out by fire, and the second type is used for indicating that the monitor is damaged before the fire happens; the technical scheme that a plurality of second spreading points are obtained according to a plurality of monitors of a first category, and a second predicted spreading path is generated based on the second spreading points is adopted, a large-area fire influence path is predicted by using a normal monitor, a relatively small-area entity fire behavior is predicted by using a monitor burnt by fire, and the normal monitor and the monitor are combined with each other to predict the fire trend accurately, so that fire fighters are assisted to make an accurate fire extinguishing strategy.

Description

Forest fire prevention monitoring method and system

Technical Field

The invention relates to the Internet technology, in particular to a forest fire prevention monitoring method and system.

Background

Forest fires are the most dangerous enemies of forests and the most feared disasters of forestry, which can cause the most harmful and devastating consequences to forests. Forest fires not only burn pieces of forest to damage animals in the forest, but also reduce the reproductive capacity of the forest, cause soil impoverishment, destroy forest conservation water sources and even cause ecological environment unbalance, so that how to monitor the forest fires is very important, and timely accurate strategies are formulated to guide fire extinguishment in the early stage of the fires.

In the prior art, a monitoring and early warning system is established in a forest, and is mainly characterized in that a sensor is arranged in the forest to judge whether a fire disaster occurs or not and predict the spreading trend of the fire disaster by using the wind direction.

However, due to the fact that the terrain and the wind direction are complex and changeable, the fire spreading trend cannot be accurately predicted in the prior art, and the formulated fire extinguishing strategy is not accurate enough.

Disclosure of Invention

The embodiment of the invention provides a forest fire prevention monitoring method and system, which can accurately predict the spreading trend of a fire so as to assist fire fighters in formulating an accurate fire extinguishing strategy.

In a first aspect of the embodiments of the present invention, a forest fire prevention monitoring method is provided, including:

acquiring acquisition information of a plurality of monitors in real time, acquiring a plurality of first spreading points according to the acquisition information, and generating a first predicted spreading path based on the plurality of first spreading points;

detecting the working state of the monitor, and judging the damage type of the monitor according to the working state, wherein the damage type comprises a first type and a second type, the first type is used for indicating that the monitor is burnt out by fire, and the second type is used for indicating that the monitor is damaged before the fire happens;

acquiring a plurality of second epidemic points according to the monitors of the first category, and generating a second predicted epidemic path based on the plurality of second epidemic points;

and dynamically displaying the first epidemic point, the first predicted epidemic path, the second epidemic point and the second predicted epidemic path on a preset map.

Optionally, in a possible implementation manner of the first aspect, the method further includes:

generating a first predicted epidemic area based on the first predicted epidemic path and a second predicted epidemic area based on the second predicted epidemic path;

and dynamically displaying the first predicted spreading area and the second predicted spreading area on the preset map.

Optionally, in a possible implementation manner of the first aspect, the generating a first predicted epidemic path based on a plurality of first epidemic points includes:

the first spreading point with the front marking response time is Xn, and the first spreading point with the rear marking response time is X (n + 1);

and detecting whether Xn exists in a preset range by taking X (n + 1) as a center, and if so, generating the first predicted propagation path by taking the Xn as a starting point and taking X (n + 1) as a direction.

Optionally, in a possible implementation manner of the first aspect, after the generating a first predicted epidemic path based on a plurality of first epidemic points, the method further includes:

obtaining a first distance between the Xn and the X (n + 1), and obtaining a first time difference based on response times of the Xn and the X (n + 1);

and acquiring a first spreading speed based on the first distance and the first time difference, and marking the first spreading speed on the corresponding first predicted spreading path.

Optionally, in a possible implementation manner of the first aspect, the generating a second predicted epidemic path based on a plurality of second epidemic points includes:

the second spreading point with the mark response time before is yn, and the second spreading point with the mark response time after is y (n + 1);

and taking y (n + 1) as a center, detecting whether yn exists in a preset range, and if yes, taking yn as a starting point and y (n + 1) as a direction to generate the second predicted epidemic path.

Optionally, in a possible implementation manner of the first aspect, after the generating a second predicted epidemic path based on a plurality of second epidemic points, the method further includes:

obtaining a second distance between the yn and the y (n + 1), and obtaining a second time difference based on the response time of the yn and the y (n + 1);

and acquiring a second spreading speed based on the second distance and the second time difference, and marking the second spreading speed on the corresponding second predicted spreading path.

Optionally, in a possible implementation manner of the first aspect, the generating a first predicted epidemic area based on the first predicted epidemic path and generating a second predicted epidemic area based on the second predicted epidemic path includes:

acquiring a first spreading direction of the first predicted spreading path, and generating the first predicted spreading area based on the first spreading direction;

and acquiring a second spreading direction of the second predicted spreading path, and generating the second predicted spreading area based on the second spreading direction.

Optionally, in a possible implementation manner of the first aspect, the detecting an operating state of the monitor and determining a damage category of the monitor according to the operating state includes:

detecting interaction information of the monitors and a plurality of pre-bound monitors in real time;

if one or more of the interaction information changes from a non-null value to a null value within a preset time period, marking the monitor as the monitor of the first category.

Optionally, in a possible implementation manner of the first aspect, if a plurality of pieces of the interaction information are continuously null, the monitor is marked as the monitor of the second category.

In a second aspect of the embodiments of the present invention, a forest fire prevention monitoring system is provided, including:

the system comprises a first prediction module, a second prediction module and a third prediction module, wherein the first prediction module is used for acquiring the acquisition information of a plurality of monitors in real time, acquiring a plurality of first spreading points according to the acquisition information and generating a first predicted spreading path based on the plurality of first spreading points;

the judging module is used for detecting the working state of the monitor and judging the damage type of the monitor according to the working state, wherein the damage type comprises a first type and a second type, the first type is used for indicating that the monitor is burnt out by fire, and the second type is used for indicating that the monitor is damaged before the fire happens;

a second prediction module for obtaining a plurality of second epidemic points according to the plurality of monitors of the first category and generating a second predicted epidemic path based on the plurality of second epidemic points;

and the display module is used for dynamically displaying the first epidemic point, the first predicted epidemic path, the second epidemic point and the second predicted epidemic path on a preset map.

In a third aspect of the embodiments of the present invention, there is provided a forest fire monitoring apparatus, including: memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the method of the first aspect of the invention as well as various possible aspects of the first aspect.

A fourth aspect of the embodiments of the present invention provides a readable storage medium, in which a computer program is stored, the computer program being, when executed by a processor, configured to implement the method according to the first aspect of the present invention and various possible aspects of the first aspect.

The invention provides a forest fire prevention monitoring method and system, which are characterized in that the acquisition information of a plurality of monitors is acquired in real time, a plurality of first spreading points are acquired according to the acquisition information, and a first predicted spreading path is generated based on the first spreading points; detecting the working state of the monitor, and judging the damage type of the monitor according to the working state, wherein the damage type comprises a first type and a second type, the first type is used for indicating that the monitor is burnt out by fire, and the second type is used for indicating that the monitor is damaged before the fire happens; acquiring a plurality of second epidemic points according to the monitors of the first category, and generating a second predicted epidemic path based on the plurality of second epidemic points; the technical scheme that the first spreading point, the first predicted spreading path, the second spreading point and the second predicted spreading path are dynamically displayed on a preset map is that a normal monitor is used for predicting a large-area fire influence path, a monitor burnt by fire is used for predicting a relatively small-area entity fire behavior, and the first spreading point, the first predicted spreading path, the second predicted spreading path and the second predicted spreading path are combined with each other to accurately predict the fire trend, so that fire fighters are assisted to make accurate fire extinguishing strategies.

Drawings

Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present invention;

FIG. 2 is a schematic flow chart of a forest fire prevention monitoring method according to an embodiment of the present invention

FIG. 3 is a diagram of a distribution of monitors in a forest according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of a first predicted epidemic path, according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of another first predicted epidemic path that is provided by an embodiment of the invention;

FIG. 6 is a schematic diagram of a first predicted epidemic path according to an embodiment of the invention;

FIG. 7 is a schematic diagram of the interaction between monitors provided by an embodiment of the present invention;

FIG. 8 is a schematic diagram of a second predicted epidemic path, in accordance with one embodiment of the present invention;

FIG. 9 is a schematic diagram of another second predicted epidemic path that is provided by an embodiment of the invention;

figure 10 is a schematic illustration of a first and second predicted area of infestation provided by an embodiment of the invention;

fig. 11 is a schematic structural diagram of a forest fire monitoring system according to an embodiment of the present invention;

fig. 12 is a schematic hardware structure diagram of a forest fire monitoring apparatus according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.

It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of A, B, C comprises, "comprises A, B and/or C" means that any 1 or any 2 or 3 of A, B, C comprises.

It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.

As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.

The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.

Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present invention. In the figure, a plurality of sensors are distributed in a forest to monitor whether a fire occurs in the forest in real time, for example, if a fire occurs around the sensor No. 1, the sensor No. 1 in the figure will monitor and alarm and transmit the alarm to a monitoring center, however, at least the following technical problems exist:

1. in the prior art, a sensor can only monitor a fire in a single point, cannot predict the spreading tendency of the fire, and usually needs to manually combine the wind direction to predict the spreading tendency of the fire, however, the spreading tendency of the fire cannot be predicted due to the complex forest topography (whether a river exists, whether the ground is flat, whether the slope is steep, whether a forest exists, and the like) and the complex and changeable wind direction;

2. because when the conflagration takes place, can produce dense fog, the distance that dense fog was wafted is longer, and the scope is wider, and sensor among the prior art often can be given by dense fog and trigger, promptly, when the sensor was reported to the police, probably the intensity of a fire of entity is still far away, often leads to the fact a false situation for the fire fighter for the unable accurate tactics of putting out a fire of formulating of fire fighter.

In order to solve the above technical problem, referring to fig. 2, a flowchart of a forest fire monitoring method according to an embodiment of the present invention is shown, and an execution main body of the method shown in fig. 2 may be a software and/or hardware device. The execution subject of the present application may include, but is not limited to, at least one of: user equipment, network equipment, etc. The user equipment may include, but is not limited to, a computer, a smart phone, a Personal Digital Assistant (PDA), the above mentioned electronic equipment, and the like. The network device may include, but is not limited to, a single network server, a server group of multiple network servers, or a cloud of numerous computers or network servers based on cloud computing, wherein cloud computing is one type of distributed computing, a super virtual computer consisting of a cluster of loosely coupled computers. The present embodiment does not limit this. The method comprises steps S201 to S204, and specifically comprises the following steps:

s201, acquiring acquisition information of a plurality of monitors in real time, acquiring a plurality of first epidemic points according to the acquisition information, and generating a first predicted epidemic path based on the plurality of first epidemic points. Wherein this step may be performed by the server.

In particular, the monitor may be any sensor for fire monitoring in the prior art, which may be distributed according to the specific situation of the forest, for example, referring to fig. 3, a distribution diagram of the monitors in the forest, in which marks such as "21-11", "22-12" and the like are marked as parcel marks, which may assist the firefighter in accurately judging the position of the monitor.

The server can acquire the acquisition information of the monitor in real time, the acquisition information can be parameters for fire judgment such as temperature parameters and smoke parameters acquired in real time, and the monitor can transmit the acquisition information to the server through a wireless module or a wire.

The server judges the acquired information after acquiring the information, and when the acquired information indicates that a fire disaster occurs, the server can mark the acquired information as a first spreading point.

It will be appreciated that as the fire situation develops, and as the information gathered by the plurality of monitors indicates the occurrence of a fire, the server will mark a plurality of first propagation points and then generate a first predicted propagation path from the plurality of first propagation points.

In some embodiments, referring to figure 4, generating a first predicted epidemic path based on a plurality of first epidemic points may be as follows:

the first spreading point with the front marking response time is Xn, and the first spreading point with the rear marking response time is X (n + 1); and detecting whether Xn exists in a preset range by taking X (n + 1) as a center, and if so, generating the first predicted propagation path by taking the Xn as a starting point and taking X (n + 1) as a direction.

Specifically, since the first monitor to detect a fire responds first with a response time at the first spreading point Xn, and the second monitor to detect a fire responds later with a response time at the second spreading point X (n + 1), the trend of the fire should be directed from the first spreading point Xn to the first spreading point X (n + 1) to the second spreading point X (n + 1).

In other embodiments, referring to fig. 5 and 6, since a spark may drift away along with a wind direction when a fire occurs, and the first predicted propagation path may be affected, in order to more accurately determine the first predicted propagation path, the present embodiment may detect whether Xn exists within a preset range, and a fire that may occur far beyond the preset range may be a fire that may occur far, instead of a fire that may propagate from Xn, and in this embodiment, only Xn within the preset range is connected to form the first predicted propagation path, so that the first predicted propagation path is more accurate.

In practical applications, the predetermined range may be within 50 meters of the circumference around X (n + 1).

For a clearer explanation, fig. 5 and fig. 6 are further compared, and the preset range in fig. 5 is smaller than the preset range in fig. 6, and it can be seen from the figure that only one sensor in fig. 5 is located in the preset range of X (n + 1), so that the first predicted propagation path is shown in fig. 5, and correspondingly, two sensors in fig. 6 are located in the preset range of X (n + 1), so that the first predicted propagation path is shown in fig. 6.

It is understood that step S201 may predict a large coverage trend of the fire, however, the fire of the entity may not reach the trend due to the influence of smoke and the like.

S202, detecting the working state of the monitor, and judging the damage type of the monitor according to the working state, wherein the damage type comprises a first type and a second type, the first type is used for indicating that the monitor is burnt out by fire, and the second type is used for indicating that the monitor is damaged before the fire happens.

Specifically, the concept of this step is to determine the type of damage to the monitor and then use the monitor in which the fire is burned to determine the location of the fire of the entity.

The present embodiment classifies the damage category of the monitor into a first category and a second category, the first category is burned by fire, and the second category is initially in a damaged state, such as being out of service for a long time.

The category judgment method comprises the following steps:

detecting interaction information of the monitors and a plurality of pre-bound monitors in real time; if one or more of the interaction information changes from a non-null value to a null value within a preset time period, marking the monitor as the monitor of the first category, and if the interaction information continues to be the null value, marking the monitor as the monitor of the second category.

For example, referring to fig. 7, if the damage category of the a monitor is determined and the a monitor is bound to the b monitor, the c monitor, the d monitor and the e monitor, the damage category of the a monitor can be determined through four paths, that is, the interaction information of the a monitor with the b monitor, the c monitor, the d monitor and the e monitor is respectively determined.

It can be understood that when the mutual information of the a monitor and the b monitor, the c monitor, the d monitor and the e monitor are all null values, the a monitor is always in a damage state, i.e. is not burnt by fire, and when one or more mutual information of the a monitor and the b monitor, the c monitor, the d monitor and the e monitor are non-null values, the a monitor is not damaged.

This judgement mode can judge the monitor through many routes, and damage classification to the monitor that can be accurate prevents the erroneous judgement.

S203, acquiring a plurality of second epidemic points according to the monitors of the first category, and generating a second predicted epidemic path based on the plurality of second epidemic points.

Specifically, as shown in step S202, the second spread points represent monitors of fire damage, indicating that the physical fire has spread to the second spread points, and further combining the first spread paths to give accurate indication to the fire fighters.

In some embodiments, referring to figure 8, generating a second predicted epidemic path based on a plurality of second epidemic points may be as follows:

the second spreading point with the mark response time before is yn, and the second spreading point with the mark response time after is y (n + 1); and taking y (n + 1) as a center, detecting whether yn exists in a preset range, and if yes, taking yn as a starting point and y (n + 1) as a direction to generate the second predicted epidemic path.

Specifically, since the monitor which detects the fire first responds first with a response time at the second spreading point yn, and the monitor which detects the fire later responds later with a response time at the second spreading point y (n + 1), the trend of the fire should be directed from the second spreading point yn which responds first to the second spreading point y (n + 1) which responds later.

In other embodiments, referring to fig. 8 and 9, since the spark may drift to a far position along with the wind direction when a fire occurs, and the second predicted propagation path may be affected, in order to more accurately determine the second predicted propagation path, the present embodiment may detect whether yn exists within a preset range, and if the yn exceeds the preset range, the fire may occur at a far position, instead of spreading the fire from the yn position, and in this embodiment, only yn within the preset range is connected to form the second predicted propagation path, so that the second predicted propagation path is more accurate.

In practical applications, the predetermined range may be within 50 meters of the circumference of the circle with y (n + 1) as the center.

For a clearer explanation, fig. 8 and 9 are further compared, and the preset range in fig. 8 is smaller than that in fig. 9, and it can be seen from the figure that only one sensor in fig. 8 is located in the preset range of y (n + 1), and the second predicted propagation path is shown in fig. 8, and correspondingly, two sensors in fig. 9 are located in the preset range of y (n + 1), and the second predicted propagation path is shown in fig. 9.

It can be understood that, in step S203, the trend of the fire entity to reach the fire can be predicted, and then, in combination with the larger coverage trend of the fire predicted in step S202, the spreading trend of the fire can be accurately predicted, so as to assist the fire fighter to make an accurate fire extinguishing strategy.

And S204, dynamically displaying the first epidemic point, the first predicted epidemic path, the second epidemic point and the second predicted epidemic path on a preset map.

The preset map can be an electronic map template corresponding to the monitored forest, and the acquired first spreading point, the acquired first predicted spreading path, the acquired second spreading point and the acquired second predicted spreading path are dynamically displayed on the map, so that a commander can timely make an accurate fire extinguishing strategy according to the generated dynamic trend map.

In order to more accurately assist the commander to timely make an accurate fire extinguishing strategy according to the generated dynamic trend graph, on the basis of the above embodiment, the embodiment further monitors the fire spreading speed, wherein one is the speed of the first predicted spreading path, and the other is the speed of the second predicted spreading path, and the method specifically comprises the following steps:

first prediction of speed of the epidemic path:

obtaining a first distance between the Xn and the X (n + 1), and obtaining a first time difference based on response times of the Xn and the X (n + 1); and acquiring a first spreading speed based on the first distance and the first time difference, and marking the first spreading speed on the corresponding first predicted spreading path.

It will be appreciated that by dividing the distance between the monitors by the time difference of the epidemic, an approximate first epidemic rate can be measured and displayed in real time on each first predicted epidemic path.

Second predicted speed of the epidemic path:

obtaining a second distance between the yn and the y (n + 1), and obtaining a second time difference based on the response time of the yn and the y (n + 1); and acquiring a second spreading speed based on the second distance and the second time difference, and marking the second spreading speed on the corresponding second predicted spreading path.

It will be appreciated that by dividing the distance between the monitors by the time difference of the epidemic, an approximate second epidemic rate can be measured and displayed in real time on each second predicted epidemic path.

It should be noted that, due to the complex forest terrain (whether there is a river, whether there is a flat land, whether there is a steep slope, whether there is a dense forest, etc.), and the complex and variable wind direction, the prior art often cannot accurately predict the spreading speed, and the present embodiment can calculate the speed of each of the first predicted spreading path and the second predicted spreading path in real time.

In addition, the scheme can also predict the spreading area of the fire, generate a first predicted spreading area based on the first predicted spreading path, generate a second predicted spreading area based on the second predicted spreading path, and dynamically display the first predicted spreading area and the second predicted spreading area on the preset map.

In particular, it is possible to obtain a first propagation direction of said first predicted propagation path, to generate said first predicted propagation zone based on said first propagation direction, to obtain a second propagation direction of said second predicted propagation path, and to generate said second predicted propagation zone based on said second propagation direction.

It is understood that a plurality of first predicted propagation regions may be formed according to a plurality of first propagation directions, for example, two first predicted propagation regions in fig. 10 may be formed by using regions covered by two pairs of first predicted propagation directions, that is, regions respectively extending outwards along the corresponding first predicted propagation directions, and then regions sandwiched by the extended regions are used as the first predicted propagation regions. Similarly, so does the second predicted propagation region.

Therefore, the first spreading point, the first predicted spreading path, the first spreading speed, the first predicted spreading area, the second spreading point, the second predicted spreading path, the second spreading speed and the second predicted spreading area can be dynamically displayed on the electronic map, a commander and a fireman can clearly know the large-area trend, the specific entity fire trend, the predicted path, the predicted speed and the area which are influenced by fire, smoke and the like, and accurately make a fire extinguishing strategy.

Referring to fig. 11, which is a schematic structural diagram of a forest fire monitoring system according to an embodiment of the present invention, the forest fire monitoring system 10 includes:

the first prediction module 11 is configured to obtain, in real time, acquisition information of a plurality of monitors, obtain a plurality of first epidemic points according to the acquisition information, and generate a first predicted epidemic path based on the plurality of first epidemic points;

the judging module 12 is used for detecting the working state of the monitor and judging the damage type of the monitor according to the working state, wherein the damage type comprises a first type and a second type, the first type is used for indicating that the monitor is burnt out by fire, and the second type is used for indicating that the monitor is damaged before the fire happens;

a second prediction module 13 for obtaining a plurality of second epidemic points from the plurality of monitors of the first category and generating a second predicted epidemic path based on the plurality of second epidemic points;

and the display module 14 is used for dynamically displaying the first epidemic point, the first predicted epidemic path, the second epidemic point and the second predicted epidemic path on a preset map.

The apparatus in the embodiment shown in fig. 11 can be correspondingly used to perform the steps in the method embodiment shown in fig. 1, and the implementation principle and the technical effect are similar, which are not described herein again.

Referring to fig. 12, which is a schematic diagram of a hardware structure of a forest fire monitoring apparatus according to an embodiment of the present invention, the forest fire monitoring apparatus 20 includes: a processor 21, a memory 22 and a computer program; wherein

A memory 22 for storing the computer program, which may also be a flash memory (flash). The computer program is, for example, an application program, a functional module, or the like that implements the above method.

A processor 21 for executing the computer program stored in the memory to implement the steps performed by the apparatus in the above method. Reference may be made in particular to the description relating to the preceding method embodiment.

Alternatively, the memory 22 may be separate or integrated with the processor 21.

When the memory 22 is a device independent of the processor 21, the apparatus may further include:

a bus 23 for connecting the memory 22 and the processor 21.

The present invention also provides a readable storage medium, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the methods provided by the various embodiments described above.

The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.

In the above embodiments of the apparatus, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A forest fire prevention monitoring method is characterized by comprising the following steps:

2. The method of claim 1, further comprising:

3. The method of claim 1 or 2, wherein generating a first predicted epidemic path based on a plurality of first epidemic points comprises:

4. The method of claim 3, wherein after the generating a first predicted epidemic path based on the plurality of first epidemic points, further comprising:

5. The method of claim 3 wherein generating a second predicted epidemic path based on the plurality of second epidemic points comprises:

6. The method of claim 5, wherein after said generating a second predicted epidemic path based on a plurality of second epidemic points, further comprising:

7. The method of claim 2 wherein generating a first predicted epidemic area based on the first predicted epidemic path and a second predicted epidemic area based on the second predicted epidemic path comprises:

8. The method of claim 1, wherein said detecting an operating condition of said monitor and determining a damage category of said monitor based on said operating condition comprises:

9. The method of claim 8, wherein if a plurality of the interactive messages are continuously null, the monitor is marked as the monitor of the second category.

10. A forest fire monitoring system, comprising: