Forestry intelligent supervision method and system based on edge computing

Abstract

The application relates to a forestry intelligent supervision method and system based on edge computing, which comprises the following steps: real-time monitoring of a forestry situation according to a monitoring device, and obtaining forestry information; judging whether a disaster occurs according to a preset information range and the forestry information; if the temperature and the carbon dioxide concentration are both greater than the information range, sending information related to disaster area early warning to an administrator terminal; if the temperature or the carbon dioxide concentration is greater than the information range, searching for rainfall records in a preset rainfall database; if the rainfall amount is less than a preset threshold value within a preset period, sending information related to disaster early warning to the administrator terminal. According to the application, the forestry disaster is early warned according to the temperature and the carbon dioxide concentration, the unmanned aerial vehicle and the fire spread algorithm are used for real-time monitoring of the forest fire and personnel rescue, the efficiency and the convenience of the forestry management are improved, and the forestry area can be continuously and real-timely monitored and managed.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of forestry management, in particular to a forestry intelligent supervision method and system based on edge computing. BACKGROUND

[0002] Forestry refers to the production department for protecting the ecological environment and maintaining the ecological balance, cultivating and protecting forests to obtain wood and other forest products, and utilizing the natural characteristics of trees to play a protective role. Forestry is one of the important components of the national economy. In the human and biosphere, through advanced scientific and technological and management means, forestry cultivates, protects and utilizes forest resources, fully utilizes the multiple benefits of forests, and continuously manages forest resources, so as to promote the coordinated development of population, economy, society, environment and resources.

[0003] Effective acquisition of forest environment information is particularly important for forestry growth, so monitoring and maintaining the forest area is the trend of the times. Effective information can greatly reduce the loss of forestry resources, improve the yield of forestry, and maintain the health and stability of forestry development. The current forestry management mainly monitors the key access points of the forestry area through artificial patrol of the forestry area.

[0004] According to the related technology in the above, it is considered that the forestry management method needs to consume a large amount of manpower and material resources for field survey, has great monitoring difficulty, high cost, scattered monitoring data, and is difficult to achieve continuous real-time monitoring, and is not convenient for managing the forestry area. SUMMARY

[0005] In order to improve the problem that the forestry management method needs to consume a large amount of manpower and material resources for field survey, has great monitoring difficulty, high cost, scattered monitoring data, and is difficult to achieve continuous real-time monitoring, and is not convenient for managing the forestry area, the application provides a forestry intelligent supervision method and system based on edge computing.

[0006] In the first aspect, the application provides a forestry intelligent supervision method based on edge computing, which adopts the following technical scheme: comprising:

[0007] According to the real-time monitoring of the monitoring device on the forestry situation, forestry information is obtained, and the forestry information at least includes temperature and carbon dioxide concentration;

[0008] According to the preset information range and the forestry information, it is judged whether a disaster occurs;

[0009] If the temperature and the carbon dioxide concentration are both greater than the information range, information related to disaster warning is sent to the administrator terminal;

[0010] If the temperature or the carbon dioxide concentration is greater than the information range, find the precipitation record in a preset precipitation database;

[0011] If the precipitation amount in a preset period is less than a preset threshold, send information related to disaster warning to the administrator terminal.

[0012] Through the above technical solution, the system acquires forestry information by monitoring the forestry area in real time through the monitoring device, and judges whether a disaster occurs in the forestry area according to the information range and the forestry information. If the system detects that the temperature and the carbon dioxide concentration are both greater than the information range, the system sends information related to disaster warning to the administrator. If the system detects that one of the temperature and the carbon dioxide concentration is greater than the preset information range, the system finds the precipitation record in the precipitation database. If the system detects that the precipitation amount in a preset period is less than a threshold, the system sends information related to disaster warning to the administrator terminal. Thus, the forestry disaster is warned according to the temperature and the carbon dioxide concentration, and the disaster is further judged according to the precipitation amount, which greatly improves the efficiency and convenience of forestry management, reduces the waste of human resources, and enables the forestry area to be monitored and managed in real time and continuously.

[0013] Optionally, the forestry information further includes wind speed and wind direction.

[0014] After the step of judging whether a disaster occurs according to the preset information range and the forestry information, the method further includes:

[0015] judging the fire spreading direction according to the wind direction;

[0016] calculating the fire area according to the temperature change;

[0017] controlling the unmanned aerial vehicle to go to the fire area to find the fire position;

[0018] finding the fire spreading level corresponding to the wind speed in a preset fire database;

[0019] sending the fire spreading direction, the fire position, and the fire spreading level to the administrator terminal.

[0020] By the technical solution, the system judges the spreading direction of the fire according to the wind direction, estimates the position of the fire region according to the temperature change of different monitoring devices, that is, the direction of the fire and the distance from the monitoring device can be obtained according to the position of the monitoring device and the detected temperature change, then the system controls the unmanned aerial vehicle to go to the fire region to find the specific position of the fire, the system finds the fire spreading level corresponding to the wind speed in the fire database, and the system sends the fire spreading level, the fire position and the fire spreading direction to the administrator terminal, so that the fire situation can be quickly determined according to the wind speed, the wind direction and the temperature change, and the fire situation can be quickly understood by the firefighters, so that the fire can be quickly handled and the harm caused by the fire can be reduced.

[0021] After the fire spreading direction, the fire position and the fire spreading level are sent to the administrator terminal, the following steps are further included:

[0022] According to the edge computing platform, the forestry personnel access table is called, and whether there is a person in distress is judged according to the forestry personnel access table and the fire position.

[0023] If it is judged that there is a person in distress or a rescue instruction is received, a risk area is calculated according to the fire spreading direction, the fire position and the fire spreading level.

[0024] The unmanned aerial vehicle group is controlled to search the risk area in a carpet manner and take pictures at a preset interval, and risk area pictures are obtained.

[0025] The edge computing platform performs real-time person recognition on the risk area pictures, determines and uploads a rescue position.

[0026] According to the fire spreading direction and the fire position, a rescue guide route is dynamically planned based on a preset fire route algorithm.

[0027] The unmanned aerial vehicle is controlled to guide the trapped person to move according to the rescue guide route.

[0028] By the technical solution, whether there is a trapped person can be quickly determined according to the forestry personnel access table, the position of the trapped person or special objects such as vehicles can be quickly judged by the rapid response of the edge computing platform, the rescue personnel can be searched in time, the rescue route can be quickly calculated based on the fire route algorithm according to the fire spreading direction and other factors, and the rescue route can be dynamically adjusted in real time according to the fire change, so that the unmanned aerial vehicle can safely guide the trapped person, and the trapped person can be quickly rescued from the fire danger area, so as to improve the safety of forestry management.

[0029] Optionally, the tree density and the forest area are detected by monitoring equipment according to a preset detection period, and the tree density and the forest area are stored in a preset forestry database;

[0030] When a forestry report request is received, the forestry report request includes: a requested year, and the forestry area and the forest density corresponding to the requested year are retrieved from the forestry database;

[0031] Filling the forest area, the tree density and the corresponding time into a preset statistical chart according to a preset statistical chart component;

[0032] The statistical graph is sent to a user terminal.

[0033] Through the above technical solution, the system regularly detects forest density and forest area according to the monitoring cycle, and stores the detected data in the forestry database. When receiving a forestry report request, the system retrieves the forest area and forest density corresponding to the requested year from the forestry database. The system fills the forest area, tree density and corresponding time into the statistical chart according to the statistical chart component, and finally sends the statistical chart to the user end, so that the user can intuitively see the changes in forestry, so that the user can plan the forestry according to the statistical chart.

[0034] Optionally, before filling the forest area, the forest density and the corresponding time into a preset statistical chart according to a preset statistical chart component, the method further includes:

[0035] Calculate the number of trees based on the tree density and the forest area;

[0036] Calculate the trend of changes in the requested number of trees over the requested years;

[0037] Excluding the target years with a decreasing trend from the requested years, to obtain the increasing years;

[0038] Searching the forestry database for forestry logging information corresponding to the increase years, wherein the forestry logging information includes: logging years, logging areas, and logging quantities;

[0039] According to the said increase years, the number of trees corresponding to the said felling years is compared with the said felling number to calculate the average felling relative value;

[0040] Calculate the expected felling quantity based on the number of trees corresponding to the current year and the average felling relative value;

[0041] The estimated felling quantity is sent to the user terminal.

[0042] Through the above technical solution, the system calculates the number of trees based on forest density and forest area, and then calculates the changing trend of forestry in the requested years based on the number of trees. The system excludes the years with decreasing changing trends in the requested years, and the remaining years are increasing years. The system searches the forestry database for forestry logging information corresponding to the increasing years, and then divides the number of felled trees in the same year by the number of trees to calculate the relative value of felling in the same year, and then averages the relative values ​​of felling trees for all increasing years to obtain the average relative value of felling trees. The system then calculates the expected number of felled trees this year based on the number of trees corresponding to the current year and the average relative value of felling trees, and sends the expected number of felled trees to the user end, so as to estimate the number of felled trees based on the changes in forestry in recent years, thereby reducing the situation where excessive number of felled trees affects forestry development, so that users can quickly determine the number of trees that can be felled this year.

[0043] Optionally, upon receiving a logging application, searching a preset regional database for a logging area with the highest tree density;

[0044] Sending the fellable area to a user terminal;

[0045] When it is detected that the tree density in the fellable area is lower than a preset threshold, a fellable area with the largest tree density is searched again and sent to the user end.

[0046] Through the above technical solution, when the system receives a logging application, the system searches for the logging area with the highest forest density and sends the logging area to the user end. When the system detects that the forest density in the logging area is lower than the threshold, it searches for the logging area with the highest forest density again and sends it to the user end, thereby reducing the situation where the forest density in some areas is too low, so as to reasonably arrange the logging quantity in each area.

[0047] Optionally, the logging application includes the application quantity;

[0048] After the step of re-searching the fellable area with the largest tree density when detecting that the tree density in the fellable area is lower than a preset threshold and sending the search result to the user terminal, the method further includes:

[0049] Searching the area database for the area corresponding to the fellable area;

[0050] Real-time detection of the regional density of the fellable area, and calculation of the number of felled trees based on changes in the regional density and the area of ​​the area;

[0051] When it is detected that the number of trees cut down reaches the number of trees applied for, a prompt related to the completion of the number of trees cut down is sent to the user terminal.

[0052] The system finds the area of the felled wood area, detects the area density of the felled wood area in real time, calculates the number of felled wood according to the change of the area density and the area, and sends a prompt related to the completion of the number of felled wood to the user terminal when the number of felled wood reaches the application number, so as to reduce the situation that the number of felled wood is seriously over-standard, and facilitate the protection of forestry according to regulations.

[0053] Optionally, the protection tree information corresponding to the felled wood area is found in a preset protection database, and the protection tree information includes tree coordinates, a tree picture, and a tree species.

[0054] The position of the tree coordinates is marked on a preset forestry area map.

[0055] The marked forestry area map, the tree picture, and the tree species are sent to the user terminal.

[0056] By adopting the above technical solution, the system finds the protection tree information of the felled wood area, marks the tree coordinates on the forestry area map according to the tree coordinates, and sends the marked forestry area map, the tree picture, and the tree species to the user terminal, so as to reduce the situation that the protected tree species are accidentally felled, and facilitate the protection of key trees.

[0057] In a second aspect, the present application provides a forestry intelligent monitoring device based on edge computing, which adopts the following technical solution:

[0058] The monitoring module is configured to monitor the forestry in real time according to a monitoring device, and obtain forestry information, wherein the forestry information at least includes temperature and carbon dioxide concentration.

[0059] The analysis module is configured to determine whether a disaster occurs according to a preset information range and the forestry information.

[0060] The detection module is configured to send information related to disaster warning to an administrator terminal if the temperature and the carbon dioxide concentration are greater than the information range.

[0061] The precipitation module is configured to find precipitation records in a preset precipitation database if the temperature or the carbon dioxide concentration is greater than the information range.

[0062] The output module is configured to send information related to disaster warning to the administrator terminal if the precipitation amount is less than a preset threshold value within a preset period.

[0063] By the above technical solution, the system performs real-time monitoring on the forestry area according to the monitoring device, and obtains forestry information. The system determines whether a disaster occurs in the forestry area according to the information range and the forestry information. If the system detects that both the temperature and the carbon dioxide concentration are greater than the information range, the system sends information related to disaster warning to the manager. If the system detects that one of the temperature or the carbon dioxide concentration is greater than the preset information range, the system searches for the precipitation record in the precipitation database. If the system detects that the precipitation in the preset period is less than the threshold value, the system sends information related to disaster warning to the administrator terminal. Thus, the forestry disaster is warned according to the temperature and the carbon dioxide concentration, and the disaster is further judged by the precipitation, which greatly improves the efficiency and convenience of forestry management, reduces the waste of human resources, and can continuously monitor and manage the forestry area in real time.

[0064] In a third aspect, the present application also provides a control device, which comprises:

[0065] The control device comprises a memory and a processor, and the memory stores a computer program capable of being loaded and executed by the processor to perform the above-mentioned forestry intelligent supervision method based on edge computing.

[0066] In a fourth aspect, the present application also provides a computer readable storage medium storing a computer program capable of being loaded and executed by a processor to perform the above-mentioned forestry intelligent supervision method based on edge computing.

[0067] In summary, the present application has at least one of the following beneficial technical effects:

[0068] 1. The forestry disaster is warned according to the temperature and the carbon dioxide concentration, and the disaster is further judged by the precipitation, which greatly improves the efficiency and convenience of forestry management, reduces the waste of human resources, and can continuously monitor and manage the forestry area in real time.

[0069] 2. The predicted cutting quantity of this year is calculated according to the number of trees corresponding to the current year and the average cutting relative value, and the predicted cutting quantity is sent to the user end, so that the cutting quantity is estimated according to the change of the forestry in recent years, and the situation that the cutting quantity is too much to affect the development of forestry is reduced, so that the user can quickly determine the cutting quantity of this year.

[0070] 3. When the forestry density of the cutting area is detected to be lower than the threshold value, the cutting area with the highest tree density is searched again and sent to the user end, so that the situation that the tree density of part of the area is too low is reduced, so as to reasonably arrange the cutting quantity of each area. BRIEF DESCRIPTION OF DRAWINGS

[0071] Figure 1This is a flow chart of a forestry intelligent supervision method based on edge computing in this application.

[0072] Figure 2 This is a structural block diagram of an edge computing-based forestry intelligent supervision device in this application.

[0073] Description of reference numerals: 210, monitoring module; 220, analysis module; 230, detection module; 240, precipitation module; 250, output module. DETAILED DESCRIPTION

[0074] The following combination Figure 1 - Figure 2 This application is described in further detail.

[0075] The embodiment of the present application discloses a forestry intelligent supervision method based on edge computing, and the executing entity is a forestry control system, hereinafter referred to as the system. At present, my country's forest resource surveys are divided into three categories, among which the forest resource planning and design survey is referred to as the second-class survey. The second-class survey is the basis for the dynamic monitoring of forest resources by local governments. The results of the second-class survey are the basis for updating forest resource archives, formulating forest felling limits, and conducting forestry project planning and design and forest resource management. It is one of the most important bases for scientific forestry management and scientific decision-making on forestry policies. In this application, the monitoring equipment is composed of various sensors, drones and satellites, which can detect factors such as density, area, temperature, carbon dioxide concentration, wind direction and wind force in the forestry. Based on the edge computing platform, the forestry ecological environment data is collected, processed, analyzed and stored in real time by drones, and the forestry disaster situation is quickly responded to, thereby providing real-time and intelligent decision-making support for forestry ecological environment management and forestry fire disaster monitoring and early warning.

[0076] Reference Figure 1 , this application at least includes steps S10 to S50.

[0077] S10, monitoring forestry conditions in real time using monitoring equipment to obtain forestry information.

[0078] The forestry information includes at least temperature and carbon dioxide concentration.

[0079] S20: Determine whether a disaster has occurred based on a preset information range and forestry information.

[0080] The information range is set according to the local forestry climate and the current time, and the information range varies in different time periods or seasons.

[0081] S30: If the temperature and the carbon dioxide concentration are both greater than the information range, information related to the disaster warning is sent to the administrator terminal.

[0082] S40, if the temperature or the carbon dioxide concentration is greater than the information range, searching for precipitation records in a preset precipitation database.

[0083] The precipitation database records the amount of precipitation and the precipitation date of the local forestry area.

[0084] S50, if the amount of precipitation in a preset period is less than a preset threshold, sending information related to disaster warning to the administrator terminal.

[0085] In this embodiment, the preset period is 40 days, and the threshold is 30 ml.

[0086] Specifically, the system performs real-time monitoring on the forestry area according to the monitoring device, obtains forestry information, and judges whether a disaster occurs in the forestry area according to the information range and the forestry information. If the system detects that the temperature and the carbon dioxide concentration are both greater than the information range, the system sends information related to disaster warning to the administrator. If the system detects that one of the temperature or the carbon dioxide concentration is greater than the preset information range, the system searches for precipitation records in the precipitation database. If the system detects that the amount of precipitation in a preset period is less than a threshold, the system sends information related to disaster warning to the administrator terminal, thereby warning the forestry disaster according to the temperature and the carbon dioxide concentration, further judging the disaster through the amount of precipitation, greatly improving the efficiency and convenience of forestry management, reducing the waste of human resources, and continuously monitoring and managing the forestry area in real time.

[0087] In some embodiments, considering the problem of fire situation, in order to quickly understand the situation of the fire, the corresponding processing steps are as follows: judging the fire spread direction according to the wind direction; calculating the fire area according to the change of temperature; controlling the unmanned aerial vehicle to go to the fire area to find the fire position; searching for the fire spread level corresponding to the wind speed in a preset fire database; sending the fire spread direction, fire position and fire spread level to the administrator terminal.

[0088] Among them, the forestry information further includes: wind speed and wind direction. The fire area refers to one or more of the areas divided in advance. The fire spread direction is determined according to the wind direction, and the fire spread level is determined according to the wind force.

[0089] Specifically, the system determines the spreading direction of the fire according to the wind direction, and estimates the position of the fire area according to the temperature change of different monitoring devices, that is, according to the position of the monitoring device and the detected temperature change, the direction of the fire and the distance from the monitoring device can be obtained, then the system controls the unmanned aerial vehicle to go to the fire area to find the specific position of the fire, the system finds the fire spreading level corresponding to the wind speed in the fire database, and the system sends the fire spreading level, the fire position and the fire spreading direction to the administrator terminal, so that the fire situation can be quickly determined according to the wind speed, the wind direction and the temperature change, and then the fire personnel can quickly preliminarily understand the fire situation, so as to quickly handle the fire and reduce the harm caused by the fire.

[0090] In some embodiments, considering the problem of guiding the trapped personnel to quickly escape from the fire danger area, the corresponding processing steps are as follows: according to the edge computing platform, the forestry personnel access table is called, and according to the forestry personnel access table and the fire position, it is judged whether there is a personnel in distress; if it is judged that there is a personnel in distress or a rescue instruction is received, the risk area is calculated according to the fire spreading direction, the fire position and the fire spreading level; control the unmanned aerial vehicle group to carry out carpet search and take pictures of the risk area according to the preset interval, and obtain the risk area pictures; according to the real-time person identification of the edge computing platform on the risk area pictures, the rescue position is determined and uploaded; according to the fire spreading direction and the fire position, the rescue guide route is dynamically planned based on the preset fire route algorithm; control the unmanned aerial vehicle to guide the trapped personnel to walk according to the rescue guide route.

[0091] Specifically, according to the forestry personnel access table, it can be quickly judged whether there is a trapped personnel, through the rapid response of the edge computing platform, the position of the trapped personnel or special objects such as vehicles can be judged in time, the rescue personnel can be searched in time, according to the factors such as the fire spreading direction, the rescue route is quickly calculated based on the fire route algorithm and dynamically adjusted in real time according to the fire change, so as to facilitate the safe guidance of the unmanned aerial vehicle to the trapped personnel, and then the trapped personnel is rescued in time to escape from the fire danger area, so as to improve the safety of forestry management.

[0092] In this embodiment, the fire spreading speed, fire spreading direction and fire intensity are calculated according to the Phoenix RapidFire fire spreading model, the influence of fire intensity, wind speed and terrain is comprehensively considered, the fire influence function is determined, and the formula is as follows:

[0093] F(x,y,t)=I(x,y,t)·(1+W v (x,y,t))·W t (x,y,t);

[0094] Wherein, fire intensity I(x, y, t): directly reflects the severity of the fire. Wind speed effect Wv(x, y, t): the component of wind speed along the direction of fire spread will enhance the fire, so take the cosine value of the angle between wind speed and fire direction, and take its positive value. Topographic effect Wt(x, y, t): the greater the slope, the faster the fire spreads, so use the exponential function to amplify the influence of slope.

[0095] Then, the rescue path is calculated using the path cost formula, which is as follows:

[0096]

[0097] h(n) = distance(n, G);

[0098] f(n) = g(n) + h(n);

[0099] Wherein, g(n) is the actual cost, h(n) is the heuristic cost, f(n) is the complete cost, c(i, i+1) is the actual flight cost (such as distance) from node i to node i+1; λ is a weight factor, used to adjust the proportion of fire influence in the total cost; F(x i ,y i ,t i ) refers to the fire influence at i using the exponential function; distance(n, G) is the straight-line distance from node n to the target point G. It should be understood that in the path planning algorithm, cost is an important concept for measuring the "cost" or "expense" from one point to another. The cost can include various factors such as distance, time, energy consumption, safety risk, etc. In the forest fire rescue task, the cost not only includes the traditional path length, but also includes the safety factors such as fire influence. Thus, the path with the lowest total cost is calculated to facilitate the rapid finding of the optimal safe path.

[0100] At the same time, in a dynamic environment, the path needs to be recalculated according to the latest fire information. Assuming that at time t, the UAV needs to go from the current position S to the target position G, and a new fire point or fire intensity change is detected, the optimal path is recalculated as follows:

[0101]

[0102] Wherein, P(t+1) represents the optimal path at time t+1, p ∝ represents a candidate path, which is one of all possible paths from the current UAV position S to the target position G.

[0103] In some embodiments, in view of the problem of arranging the forestry situation, in order for the user to quickly understand the development of the forestry, the corresponding processing steps are as follows: detecting the forest density and the forestry area through the monitoring device according to a preset detection period, and storing the forest density and the forestry area into a preset forestry database; when receiving a forestry report request, the forestry report request including: a request period, calling the forestry area and the forest density corresponding to the request period in the forestry database; filling the forestry area, the forest density and the corresponding time into a preset statistical chart according to a preset statistical chart component; and sending the statistical chart to a user end.

[0104] The detection period is generally once every half year, the request period is a target period specified by the user, for example: 2018 to 2022. The forestry database is a database for storing various data of the forestry, such as the area data and the density data of the forestry. The statistical chart component in the embodiment of the application is G2plot.

[0105] Specifically, the system detects the forestry density and the forestry area regularly according to the monitoring period, and stores the detected data in the forestry database. When receiving the forestry report request, the system calls the forestry area and the forestry density corresponding to the request period in the forestry database. The system fills the forestry area and the forest density and the corresponding time into the statistical chart according to the statistical chart component, and finally sends the statistical chart to the user end, so that the user can intuitively see the change of the forestry, and plan the forestry according to the statistical chart.

[0106] Further, in view of the situation of cutting the forestry, in order to reasonably plan the cutting quantity of the forestry, the corresponding processing steps are as follows: calculating the number of trees according to the forest density and the forestry area; calculating the change trend in the request period according to the number of trees; excluding the target period with a decreasing change trend in the request period to obtain an increasing period; finding forestry felling information corresponding to the increasing period in the forestry database, the forestry felling information including: felling period, felling area and felling quantity; comparing the number of trees corresponding to the felling period with the felling quantity according to the increasing period to calculate an average felling relative value; calculating a predicted felling quantity according to the number of trees corresponding to the current period and the average felling relative value; and sending the predicted felling quantity to the user end.

[0107] The felling period refers to the year corresponding to the forestry felling.

[0108] Specifically, the system calculates the number of trees according to the forestry density and the forestry area, the system calculates the change trend of the forestry in the requested period of time according to the number of trees, the system outputs the period of time in which the change trend decreases, and the rest is the period of time in which the change trend increases, the system searches the forestry felling information corresponding to the period of time in which the change trend increases in the forestry database, the system divides the felling quantity of the same year by the number of trees to calculate the relative value of the felling of the same year, and then averages the relative values of the felling of all the periods of time in which the change trend increases to obtain the average relative value of the felling, and the system calculates the predicted felling quantity of the current year according to the number of trees corresponding to the current year and the average relative value of the felling, and sends the predicted felling quantity to the user end, so as to estimate the felling quantity according to the change of the forestry in recent years, and to reduce the influence of excessive felling on the development of the forestry, so as to quickly determine the felling quantity of the current year.

[0109] Further, considering the problem of monitoring felling, in order to reduce the situation of excessive felling in the same area, the corresponding processing steps are as follows: when receiving the felling application, searching for the felling area with the largest forestry density in the preset area database; sending the felling area to the user end; when detecting that the forestry density of the felling area is lower than the preset threshold, searching for the felling area with the largest forestry density again and sending it to the user end.

[0110] In this embodiment, the threshold is set according to the tree species and other factors of the local forestry, and the area database is used to store the forestry density and area data of the areas divided in advance.

[0111] Specifically, when the system receives the felling application, the system searches for the felling area with the largest forestry density and sends the felling area to the user end, and when the system detects that the forestry density of the felling area is lower than the threshold, the system searches for the felling area with the largest forestry density again and sends it to the user end, so as to reduce the situation that the forestry density of part of the areas is too low, so as to reasonably arrange the felling quantity of each area.

[0112] Further, considering the problem of excessive felling, the corresponding processing steps are as follows: the felling application includes the application quantity; searching for the area area corresponding to the felling area in the area database; detecting the area density of the felling area in real time, calculating the felled quantity according to the change of the area density and the area area; until the felled quantity reaches the application quantity, sending the prompt related to the completion of the felling quantity to the user end.

[0113] In this embodiment, the area density is estimated according to the shooting photos of the trees in the area by the unmanned aerial vehicle and other equipment.

[0114] Specifically, the system finds the area of the felled wood area, detects the area density of the felled wood area in real time, calculates the number of felled wood according to the change of the area density and the area, and sends a prompt related to the completion of the felled wood number to the user terminal when detecting that the number of felled wood reaches the application number, thereby reducing the situation that the felled wood number is seriously over-standard, so as to protect the forestry according to the regulations.

[0115] In some embodiments, in view of the problem of key tree protection, in order to reduce the situation of accidental felling of protected trees, the corresponding processing steps are as follows: finding the protected tree information corresponding to the felled wood area in the preset protection database, the protected tree information including: tree coordinates, tree pictures and tree species; marking the position of the tree coordinates on the preset forestry area map; sending the marked forestry area map, tree pictures and tree species to the user terminal.

[0116] Among them, the protection database is used to record the protection species information in the forestry range.

[0117] Specifically, the system finds the protected tree information of the felled wood area, and marks the tree coordinates on the forestry area map according to the tree coordinates, and the system sends the marked forestry area map, tree pictures and tree species to the user terminal, thereby reducing the situation of accidental felling of protected trees, so as to protect the key trees.

[0118] The implementation principle of an embodiment of the forestry intelligent supervision method based on edge computing is that: the system acquires forestry information by monitoring the forestry area in real time according to the monitoring device, and judges whether a disaster occurs in the forestry area according to the information range and the forestry information, if the system detects that the temperature and the carbon dioxide concentration are both greater than the information range, the system sends information related to disaster warning to the administrator, if the system detects that one of the temperature or the carbon dioxide concentration is greater than the preset information range, the system finds the precipitation record in the precipitation database, if the system detects that the precipitation in the preset period is less than the threshold, the system sends information related to disaster warning to the administrator terminal, thereby warning the forestry disaster according to the temperature and the carbon dioxide concentration, and further judging the disaster through the precipitation, greatly improving the efficiency and convenience of forestry management, reducing the waste of human resources, and continuously monitoring and managing the forestry area in real time.

[0119] Figure 1 The flowchart of an embodiment of the forestry intelligent supervision method based on edge computing. It should be understood that, although Figure 1The steps in the flowchart are displayed in sequence according to the arrows, but the steps are not necessarily executed in the order indicated by the arrows; unless otherwise specified herein, the execution of the steps is not strictly limited in sequence, and the steps can be executed in other orders; and Figure 1 At least part of the steps in the flowchart can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of the sub-steps or stages is not necessarily sequential, but can be alternately executed with other steps or at least part of the sub-steps or stages of other steps.

[0120] Based on the same technical concept, referring to Figure 2 The embodiment of the present application also provides a forestry intelligent supervision device based on edge computing, which adopts the following technical scheme, the device comprises:

[0121] The monitoring module 210 is used for monitoring the forestry situation in real time according to the monitoring equipment, and acquiring forestry information, wherein the forestry information at least includes temperature and carbon dioxide concentration;

[0122] The analysis module 220 is used for judging whether a disaster occurs according to a preset information range and the forestry information;

[0123] The detection module 230 is used for sending information related to disaster warning to the administrator terminal if the temperature and the carbon dioxide concentration are both greater than the information range;

[0124] The precipitation module 240 is used for searching for precipitation records in a preset precipitation database if the temperature or the carbon dioxide concentration is greater than the information range;

[0125] The output module 250 is used for sending information related to disaster warning to the administrator terminal if the precipitation amount is less than a preset threshold value within a preset period.

[0126] In some embodiments, the forestry information further includes wind speed and wind direction;

[0127] The detection module 230 is further used for judging the fire spreading direction according to the wind direction;

[0128] The fire area is calculated according to the change of the temperature;

[0129] The unmanned aerial vehicle is controlled to go to the fire area to find the fire position;

[0130] The fire spreading grade corresponding to the wind speed is searched for in a preset fire database;

[0131] The fire spreading direction, the fire position and the fire spreading grade are sent to the administrator terminal.

[0132] In some embodiments, the detection module 230 is further configured to detect the forest density and the forest area according to a preset detection period, and store the forest density and the forest area into a preset forest database;

[0133] Upon receiving a forest report request, the forest report request including a request year, the forest area and the forest density corresponding to the request year are retrieved from the forest database;

[0134] The forest area, the forest density and the corresponding time are filled into a preset statistical chart according to a preset statistical chart component;

[0135] The statistical chart is sent to the user end.

[0136] In some embodiments, the detection module 230 is further configured to calculate the number of trees according to the forest density and the forest area;

[0137] The change trend in the request year is calculated according to the number of trees;

[0138] The target year with a decreasing change trend is excluded from the request year, and the increasing year is obtained;

[0139] The forest logging information corresponding to the increasing year is searched from the forest database, the forest logging information including a logging year, a logging area and a logging number;

[0140] The number of trees corresponding to the logging year is compared with the logging number according to the increasing year, and an average logging relative value is calculated;

[0141] The predicted logging number is calculated according to the number of trees corresponding to the current year and the average logging relative value;

[0142] The predicted logging number is sent to the user end.

[0143] In some embodiments, the detection module 230 is further configured to search for a logging area with the largest forest density from a preset area database upon receiving a logging application;

[0144] The logging area is sent to the user end;

[0145] Upon detecting that the forest density of the logging area is lower than a preset threshold, the logging area with the largest forest density is searched again and sent to the user end.

[0146] In some embodiments, the logging application includes an application number; the detection module 230 is further configured to search for an area area corresponding to the logging area from the area database;

[0147] Real-time detection of the area density of the felled wood area, calculation of the felled wood quantity according to the change of the area density and the area size;

[0148] Until the felled wood quantity reaches the application quantity, a prompt related to the completion of the felled wood quantity is sent to the user terminal.

[0149] In some embodiments, the detection module 230 is further configured to search for the protection tree information corresponding to the felled wood area in the preset protection database, the protection tree information including: tree coordinates, a tree picture, and a tree species;

[0150] The position of the tree coordinates is marked on the preset forestry area map;

[0151] The marked forestry area map, the tree picture, and the tree species are sent to the user terminal.

[0152] The embodiments of the present application also disclose a control device.

[0153] Specifically, the control device includes a memory and a processor, and the memory stores a computer program capable of being loaded and executed by the processor to implement the above-mentioned forestry intelligent supervision method based on edge computing.

[0154] The embodiments of the present application also disclose a computer readable storage medium.

[0155] Specifically, the computer readable storage medium stores a computer program capable of being loaded and executed by the processor to implement the above-mentioned forestry intelligent supervision method based on edge computing, and the computer readable storage medium includes various storage media capable of storing program codes, for example, a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0156] The above are the preferred embodiments of the present application, and are not intended to limit the protection scope of the present application, so that: any equivalent changes made according to the structure, shape, principle of the present application should be covered within the protection scope of the present application.

Claims

1. An edge-computing-based forestry intelligent supervision method, characterized in that, The method comprises: Real-time monitoring of forestry conditions by a monitoring device to obtain forestry information, the forestry information comprising at least temperature and carbon dioxide concentration; Judging whether a disaster occurs according to a preset information range and the forestry information; If both the temperature and the carbon dioxide concentration are greater than the information range, sending information related to disaster warning to an administrator terminal; If either the temperature or the carbon dioxide concentration is greater than the information range, searching for precipitation records in a preset precipitation database; If the amount of precipitation in a preset period is less than a preset threshold, sending information related to disaster warning to an administrator terminal; The method further comprises detecting forest density and forestry area by the monitoring device according to a preset detection period, and storing the forest density and the forestry area in a preset forestry database; Upon receiving a forestry report request, which comprises a request year, retrieving the forestry area and the forest density corresponding to the request year in the forestry database; Filling the forestry area, the forest density, and corresponding time into a preset statistical chart according to a preset statistical chart component; Sending the statistical chart to a user terminal; Before filling the forestry area, the forest density, and corresponding time into a preset statistical chart according to a preset statistical chart component, the method further comprises: Calculating the number of trees according to the forest density and the forestry area; Calculating the change trend in the request year according to the number of trees; Excluding target years in which the change trend decreases from the request year to obtain increasing years; Searching for forestry logging information corresponding to the increasing years in the forestry database, the forestry logging information comprising logging year, logging area, and logging quantity; Comparing the number of trees corresponding to the logging year with the logging quantity according to the increasing years to calculate an average logging relative value; Calculating the expected logging quantity according to the number of trees corresponding to the current year and the average logging relative value; Sending the expected logging quantity to a user terminal.

2. The method of claim 1, wherein, The forestry information further comprises wind speed and wind direction; After judging whether a disaster occurs according to a preset information range and the forestry information, the method further comprises: Judging the direction of fire spread according to the wind direction; Calculating the fire area according to the change in temperature; Controlling a drone to go to the fire area to find the fire location; Searching for a fire spread level corresponding to the wind speed in a preset fire database; Sending the direction of fire spread, the fire location, and the fire spread level to an administrator terminal.

3. The method of claim 2, wherein, After sending the direction of fire spread, the fire location, and the fire spread level to an administrator terminal, the method further comprises: Retrieving a forestry personnel access table according to an edge computing platform, and judging whether there is a person in danger according to the forestry personnel access table and the fire location; If it is judged that there is a person in danger or a rescue instruction is received, calculating a risk area according to the direction of fire spread, the fire location, and the fire spread level; The unmanned aerial vehicle group is controlled to search the risk area in a carpet manner and take pictures according to a preset interval, and risk area pictures are obtained; Real-time person identification is performed on the risk area pictures based on the edge computing platform, and a rescue location is determined and uploaded; A rescue guide route is dynamically planned based on a preset fire route algorithm according to the fire spread direction and the fire location; The unmanned aerial vehicle is controlled to guide the trapped person to move according to the rescue guide route.

4. The method of claim 1, wherein, The method further comprises: When a wood cutting application is received, a wood cutting area with the largest forest density is searched in a preset area database; The wood cutting area is sent to a user terminal; When it is detected that the forest density of the wood cutting area is lower than a preset threshold, a wood cutting area with the largest forest density is searched again and sent to the user terminal.

5. The method of claim 4, wherein, The wood cutting application comprises an application quantity; After the wood cutting area with the largest forest density is searched again and sent to the user terminal when it is detected that the forest density of the wood cutting area is lower than a preset threshold, the method further comprises: An area of the wood cutting area corresponding to the wood cutting area is searched in the area database; The area density of the wood cutting area is detected in real time, and a cut wood quantity is calculated according to the change of the area density and the area; Until it is detected that the cut wood quantity reaches the application quantity, a prompt related to the completion of the wood cutting quantity is sent to the user terminal.

6. The method of claim 5, wherein, The method further comprises: Protection tree information corresponding to the wood cutting area is searched in a preset protection database, and the protection tree information comprises tree coordinates, a tree picture, and a tree species; The position of the tree coordinates is marked on a preset forestry area map; The marked forestry area map, the tree picture, and the tree species are sent to the user terminal.

7. An edge computing based forestry intelligent supervision device, characterized in that, The device comprises: A monitoring module (210) is configured to monitor a forestry condition in real time based on a monitoring device to obtain forestry information, wherein the forestry information at least comprises temperature and carbon dioxide concentration; An analysis module (220) is configured to determine whether a disaster occurs according to a preset information range and the forestry information; A detection module (230) is configured to send information related to disaster warning to an administrator terminal if the temperature and the carbon dioxide concentration are greater than the information range; A precipitation module (240) is configured to search for precipitation records in a preset precipitation database if the temperature or the carbon dioxide concentration is greater than the information range; An output module (250) is configured to send information related to disaster warning to an administrator terminal if the precipitation amount is less than a preset threshold within a preset period. The detection module (230) is further configured to detect forest density and forestry area by the monitoring device according to a preset detection period, and store the forest density and the forestry area in a preset forestry database; When a forestry report request is received, the forestry report request comprises a request period, and the forestry area and the forest density corresponding to the request period are retrieved from the forestry database; filling the forestry area, the tree density and the corresponding time into a preset statistical chart according to a preset statistical chart component; sending the statistical chart to a user end; the detection module (230) is further configured to calculate a tree number according to the tree density and the forestry area; calculating a change trend in the requested time period according to the tree number; excluding a target year in which the change trend decreases from the requested time period to obtain an increasing year; finding forestry felling information corresponding to the increasing year in the forestry database, the forestry felling information including a felling year, a felling area and a felling number; comparing the tree number corresponding to the felling year with the felling number according to the increasing year to calculate an average felling relative value; calculating a predicted felling number according to the tree number corresponding to a current year and the average felling relative value; sending the predicted felling number to a user end.

8. A control device characterized by comprising: The device comprises: a memory and a processor, the memory storing a computer program capable of being loaded and executed by the processor to perform the method of any one of claims 1 to 6.

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