Field monitoring method for forestry management

Abstract

The invention discloses a field monitoring method for forestry management, which relates to the field monitoring technology field of forestry management, and is characterized in that a monitoring acquisition and image processing module and an auxiliary module are used in cooperation to acquire, identify and transmit image communication of trees and areas in a forestry monitoring area, and a data calculation processing module is used to calculate and process data. The monitoring area coverage rate FM, the number ML of trees in the monitoring area and the fire risk index FX are calculated and output, intervention adjustment of measures and methods is carried out on the basis of the change trend of the recent fire risk index FX, and the data calculating and processing module comprises a monitoring coverage area effect measuring unit. According to the forestry area fire risk monitoring system, the area coverage rate of the monitoring area is accurately calculated, the number of trees is estimated in real time, the fire risk is scientifically evaluated, the monitoring strategy is optimized, and then modernization and intelligentization of forestry management are promoted.

Description

Technical Field

[0001] The invention relates to the technical field of field monitoring of forestry management, in particular to a field monitoring method for forestry management. Background Art

[0002] In forestry management, field monitoring is a vital task. Traditional monitoring methods often rely on manual patrols and ground observations, which are not only inefficient but also difficult to fully cover vast forestry areas. With the rapid development of electrical communication technology and image communication technology, modern forestry management has begun to adopt remote monitoring technology, which deploys cameras to capture and transmit image information of forestry areas in real time.

[0003] However, existing field monitoring methods still have some problems and shortcomings. First, the effective monitoring range of the camera is limited, and it is impossible to accurately calculate the area coverage of the monitoring area, resulting in an increase in monitoring blind spots. Second, the estimation of the number of trees usually relies on manual statistics and simple remote sensing technology, which has large errors and cannot be updated in real time. In addition, fire risk assessment lacks scientific basis and often relies on experience judgment, making it difficult to accurately predict and prevent fire risks. Summary of the invention

[0004] The purpose of the present invention is to provide a field monitoring method for forestry management, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows: Step 1: Use the monitoring acquisition and image processing module and the auxiliary module to collect, identify and transmit image communications of trees and areas in the forestry monitoring area; Step 2: Use the data calculation and processing module to calculate and output the monitoring area coverage rate FM, the number of trees in the monitoring area ML, and the fire risk index FX; Step 3: Based on the recent trend of changes in the fire risk index FX, make intervention adjustments to measures; The data calculation and processing module includes a unit for measuring the effect of monitoring coverage area, a unit for evaluating the quantity and distribution of forestry resources, and a unit for monitoring and reflecting the fire risk of forestry areas; The equipment used in the monitoring acquisition and image processing module includes cameras, temperature sensors, humidity sensors, rainfall sensors, GPS locators, image processors, graphics workstations, wireless LAN equipment, and satellite communication equipment; The equipment used by the auxiliary module includes power supply equipment and lightning protection equipment; The equipment used by the data calculation and processing module includes servers and data storage equipment.

[0006] Optionally, the calculation formula for measuring the monitoring coverage area effect unit is as follows: ; in: FM is the area coverage of the monitoring area; X 1 is the first boundary coordinate in the horizontal direction, X 2 is the second boundary coordinate in the horizontal direction, X 1 and X 2 Reflects the monitoring coverage boundary in the horizontal direction; Y 1 is the first boundary coordinate in the vertical direction, Y 2 is the second boundary coordinate in the vertical direction, Y 1 and Y 2 Reflects the monitoring coverage boundary in the vertical direction; YB is the radius of the monitoring range; ZM is the total area of ​​the monitoring area.

[0007] Optionally, the calculation formula for evaluating the quantity and distribution units of forestry resources is as follows: ; in: ML is the number of trees in the monitoring area; XB avg is the average value of the tree's minor diameter; DB avg is the average value of the major diameter of the trees; H avg is the average height of trees.

[0008] Optionally, the average value of the tree minor diameter is XB avg The calculation formula is as follows: XB avg =(XB 1 +XB 2 +XB 3 +......+XB n ) / n; n is the total number of small diameter trees, and n reflects the total number of small diameter trees in the total area ZM of the monitoring area; XB 1 is the diameter of the first smallest tree, XB 2 is the diameter of the second smallest tree, XB 3 is the diameter of the third smallest tree, XB n is the diameter of the nth smallest diameter tree; The average value of the tree major diameter DB avg The calculation formula is as follows: DBavg =(DB 1 +DB 2 +DB 3 +......+DB m ) / m; m is the total number of large diameter trees, and m reflects the total number of large diameter trees within the total area ZM of the monitoring area; DB 1 is the diameter of the tree with the largest diameter, DB 2 is the diameter of the second largest tree, DB 3 The diameter of the third largest tree, DB m is the diameter of the mth largest diameter tree; The average height of the trees H avg The calculation formula is as follows: H avg =(H 1 +H 2 +H 3 +......+H （n+m) ) / (n+m); (n+m) is the total number of trees, and (n+m) reflects the total number of all trees within the total area ZM of the monitoring area; H 1 is the height of the first tree, H 2 is the height of the second tree, H 3 is the height of the third tree, H （n+m) is the height of the (n+m)th tree.

[0009] Optionally, the calculation formula for the monitoring and reflecting the fire risk unit in the forestry area is as follows: ; in: FX is the fire risk index; W is the temperature of the monitoring area; S is the humidity of the monitoring area; J is the rainfall in the monitoring area; ML old is the number of old trees; ML total is the total number of trees, ML total Reflects the total number of n+m.

[0010] Optionally, based on the fire risk index FX, the value range of the fire risk index FX is (0, +∞); If the recent fire risk index FX result value trend is close to 0, it reflects that the fire risk in the monitored area is small; If the recent fire risk index FX result value trend is close to positive infinity, it reflects that the fire risk in the monitored area is high.

[0011] Optionally, based on the situation that the result value of the fire risk index FX is close to positive infinity, the specific measures are as follows: Method 1: If the number of old trees is ML old If there is no increasing trend, then the total area of ​​the monitored area ZM is increased and the total area of ​​the monitored area ZM is expanded; Method 2: If the number of old trees is ML old If the number of old trees increases, regular inspections should be carried out and old trees should be cut down in time to reduce the number of old trees. old .

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention can accurately calculate the proportion of the forest area covered by the camera to the total area, i.e., the monitoring area coverage rate FM, by measuring the monitoring coverage area effect unit, thereby effectively reducing the monitoring blind area. The formula combines the boundary coordinates of the camera in the horizontal and vertical directions and the effective monitoring range radius to achieve accurate quantification of the monitoring area.

[0013] 2. The unit for assessing the quantity and distribution of forest resources in the present invention combines the area coverage rate FM of the monitoring area with the average diameter range and average height of the trees, and can thus estimate in real time the number of trees ML in the monitoring area. This method not only improves the accuracy of the estimation, but can also be adjusted in real time as the monitoring data is updated, providing more reliable data support for forestry management.

[0014] 3. The monitoring unit reflecting the fire risk of the forestry area in the present invention comprehensively considers the influencing factors of the tree density per unit area, the temperature W of the monitoring area, the humidity S of the monitoring area, the rainfall J of the monitoring area and the proportion of old trees, and can scientifically evaluate the fire risk index FX in the monitoring area. This method not only improves the accuracy of fire risk assessment, but also provides a scientific basis for formulating effective fire prevention and control strategies.

[0015] 4. The present invention can continuously optimize the monitoring strategy through a cyclic iteration method, combined with the measurement of the monitoring coverage area effect unit, the evaluation of the forestry resources quantity and distribution unit, and the monitoring of the fire risk unit reflecting the forestry area, and at the same time, through real-time updating of the number of trees and the monitoring area coverage rate FM, the monitoring scope can be dynamically adjusted to ensure the continuity and effectiveness of monitoring. It is worth mentioning that the present invention, with the help of electrical communication technology and image communication technology, can realize remote monitoring and real-time data transmission, greatly improving the efficiency of forestry management. At the same time, through the measurement of the monitoring coverage area effect unit, the evaluation of the forestry resources quantity and distribution unit, and the calculation and analysis of the monitoring unit reflecting the fire risk of the forestry area, it can realize the accurate management and scientific planning of forestry resources, and provide strong support for the sustainable development of forestry. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A method flow chart of the field monitoring method for forestry management; Figure 2 It is a schematic diagram of the monitoring range and horizontal and vertical coordinates of the present invention; Figure 3 It is a structural schematic diagram of the data calculation and processing module of the present invention; Figure 4 It is a feedback diagram of the fire risk index FX of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Regarding the field monitoring method used for forestry management, it is different from the existing field monitoring methods. The existing field monitoring methods cannot accurately calculate the area coverage of the monitoring area, resulting in an increase in monitoring blind spots, and there are also problems such as large errors and inability to update in real time. In addition, the fire risk assessment lacks a scientific basis. The algorithm unit accurately calculates the area coverage of the monitoring area, estimates the number of trees in real time, scientifically assesses the fire risk, and optimizes the monitoring strategy, thereby promoting the modernization and intelligence of forestry management.

[0019] For example, see Figures 1 to 4 , this implementation provides a field monitoring method for forestry management, and the specific implementation steps are as follows: Step 1: Use the monitoring acquisition and image processing module and the auxiliary module to collect, identify and transmit image communications of trees and areas in the forestry monitoring area; Step 2: Use the data calculation and processing module to calculate and output the monitoring area coverage rate FM, the number of trees in the monitoring area ML, and the fire risk index FX; Step 3: Based on the recent trend of changes in the fire risk index FX, make intervention adjustments to measures; The data calculation and processing module includes a unit for measuring the effect of monitoring coverage area, a unit for evaluating the quantity and distribution of forestry resources, and a unit for monitoring and reflecting the fire risk of forestry areas. The equipment used in the monitoring acquisition and image processing module includes cameras, temperature sensors, humidity sensors, rainfall sensors, GPS locators, image processors, graphic workstations, wireless LAN equipment, and satellite communication equipment; The equipment used by the auxiliary module includes power supply equipment and lightning protection equipment; The equipment used by the data calculation and processing module includes servers and data storage devices.

[0020] In this embodiment, the system, through the mutual cooperation of three algorithm units, together constitutes an important part of the forestry management and monitoring system. By combining the three operation results of FM, ML and FX, a comprehensive and accurate understanding of the situation of forestry resources and fire risks can be achieved, providing strong support for the formulation of scientific management plans and prevention and control strategies. FM is the area coverage rate of the monitoring area. This value can more accurately grasp the coverage of the camera, ensure that key areas are fully covered, and reduce monitoring blind spots. At the same time, this indicator also provides basic data support for subsequent tree quantity calculation and fire risk assessment. ML is the number of trees in the monitoring area. This value can more accurately understand the tree resource situation in the monitoring area. To provide data support for the formulation of forestry management plans and felling plans, FX is the fire risk index, which can more scientifically evaluate the fire risk situation in the monitored area and provide data support for the formulation of fire warning mechanisms, emergency plans and fire prevention measures. At the same time, this indicator is also combined with the area coverage rate FM of the monitored area and the number of trees ML in the monitored area to form a comprehensive forestry management and monitoring system to ensure the safety and sustainable development of forestry resources. The calculation results of FX can also affect the calculation of FM and ML, that is, the adjustment measures for the calculation of FM and ML, which not only helps to reduce fire risks and improve monitoring efficiency, but also optimize resource allocation, improve the ecological environment and improve monitoring and early warning capabilities.

[0021] In the field monitoring system of forestry management of the present invention, the data collected by the temperature sensor, humidity sensor and rainfall sensor need to be transmitted to the central control system and data center through wireless local area network equipment and satellite communication equipment; The electric communication technology ensures the real-time and accuracy of these data, so that the results calculated by the unit for measuring the effect of monitoring coverage area, the unit for evaluating the quantity and distribution of forestry resources, and the unit for monitoring and reflecting the fire risk of forestry areas can timely reflect the actual situation of the monitoring area. The camera, temperature sensor, humidity sensor, and rainfall sensor are powered by power supply equipment, and energy management is carried out through electric communication technology. Stable energy supply is the basis for ensuring the continuous operation of the camera and the accuracy of formula calculation. Through electric communication technology, the central control system can remotely configure the parameters of the camera, temperature sensor, humidity sensor, and rainfall sensor, thereby indirectly affecting the calculation results of the unit for measuring the effect of monitoring coverage area, the unit for evaluating the quantity and distribution of forestry resources, and the unit for monitoring and reflecting the fire risk of forestry areas. Image communication technology plays an important role in forestry management. Through image monitoring, it is possible to observe the growth of trees and signs of fire in the monitoring area in real time, and provide auxiliary information for measuring the monitoring coverage area effect unit, evaluating the number and distribution unit of forestry resources, and monitoring the fire risk unit reflecting the forestry area. At the same time, image recognition technology can automatically identify abnormal fire conditions and trigger an alarm mechanism. The data collected by image monitoring can be integrated and analyzed with the data calculated by measuring the monitoring coverage area effect unit, evaluating the number and distribution unit of forestry resources, and monitoring the fire risk unit reflecting the forestry area, so as to provide more comprehensive and accurate forestry management information. Image communication technology enables the central control system to remotely visualize the situation in the forestry area, which not only improves the monitoring efficiency, but also enables managers to understand the actual situation in the monitoring area more intuitively, and adjust the parameters and monitoring strategies of measuring the monitoring coverage area effect unit, evaluating the number and distribution unit of forestry resources, and monitoring the fire risk unit reflecting the forestry area accordingly. In summary, although the units for measuring the effectiveness of monitoring coverage areas, evaluating the quantity and distribution of forestry resources, and monitoring units reflecting the fire risk of forestry areas have no direct connection with electrical communication technology and image communication technology, they play an important role in the field monitoring system of forestry management and can be better applied and supported through electrical communication technology and image communication technology. The integrated application of these technologies provides a more comprehensive, accurate and efficient solution for forestry management.

[0022] See also Figures 1 to 4 , the calculation formula for measuring the monitoring coverage area effect unit is as follows: ; in: FM is the area coverage of the monitoring area; X 1 is the first boundary coordinate in the horizontal direction, X 2 is the second boundary coordinate in the horizontal direction, X1 and X 2 Reflects the monitoring coverage boundary in the horizontal direction; Y 1 is the first boundary coordinate in the vertical direction, Y 2 is the second boundary coordinate in the vertical direction, Y 1 and Y 2 Reflects the monitoring coverage boundary in the vertical direction; YB is the radius of the monitoring range; ZM is the total area of ​​the monitoring area.

[0023] In this embodiment: First, the algorithm unit " "This calculation part is to obtain the diagonal length of the camera in the two-dimensional plane, that is, the horizontal and vertical directions. Since the camera usually does not cover the area in a square or circular regular shape, the diagonal length can be used to approximate its coverage area. This diagonal length is the basis for calculating the monitoring area coverage rate FM. By combining it with the monitoring range radius YB, the actual area coverage rate of the monitoring area can be further calculated. Dividing it by the total area of ​​the monitoring area ZM determines the proportion of the forestry area covered by the camera to the total area, that is, the monitoring area coverage rate FM. By measuring the monitoring coverage area effect unit, this algorithm can accurately calculate the monitoring area coverage rate FM according to the boundary coordinates of the camera and the effective monitoring range radius YB. This result helps to optimize the monitoring layout, ensure that the monitoring can cover key areas, and reduce monitoring blind spots. After understanding the monitoring area coverage rate FM, monitoring resources can be used more efficiently. For areas with high coverage, the number of cameras can be appropriately reduced and the monitoring frequency can be adjusted to reduce costs. For areas with low coverage, it is necessary to increase cameras and strengthen monitoring efforts to ensure safety. The calculation results of the monitoring coverage area effect unit can also provide data support for forestry management decision-making, and then determine the key monitoring areas and priorities based on the monitoring area coverage rate FM.

[0024] See also Figures 1 to 4 , the calculation formula for assessing the quantity and distribution units of forest resources is as follows: ; in: ML is the number of trees in the monitoring area; XB avg is the average value of the tree's minor diameter; DB avg is the average value of the major diameter of the trees; H avg is the average height of trees; Average value of tree minor diameter XB avg The calculation formula is as follows: XB avg =(XB 1 +XB 2 +XB 3 +......+XB n ) / n; n is the total number of small diameter trees, and n reflects the total number of small diameter trees in the total area ZM of the monitoring area; XB 1 is the diameter of the first smallest tree, XB 2 is the diameter of the second smallest tree, XB 3 is the diameter of the third smallest tree, XB n is the diameter of the nth smallest diameter tree; Average tree diameter DB avg The calculation formula is as follows: DB avg =(DB 1 +DB 2 +DB 3 +......+DB m ) / m; m is the total number of large diameter trees, and m reflects the total number of large diameter trees within the total area ZM of the monitoring area; DB 1 is the diameter of the tree with the largest diameter, DB 2 is the diameter of the second largest tree, DB 3 The diameter of the third largest tree, DB m is the diameter of the mth largest diameter tree; Average tree height H avg The calculation formula is as follows: H avg =(H 1 +H 2 +H 3 +......+H （n+m) ) / (n+m); (n+m) is the total number of trees, and (n+m) reflects the total number of all trees within the total area ZM of the monitoring area; H 1 is the height of the first tree, H 2 is the height of the second tree, H 3 is the height of the third tree, H （n+m) is the height of the (n+m)th tree.

[0025] In this embodiment, first, "This calculation part is to estimate the number of trees in the monitoring area ML in the monitoring area according to the monitoring area area coverage rate FM and the average diameter range of the trees. The monitoring area area coverage rate FM is used as the base number here, because the number of trees is proportional to the area of ​​the monitoring area. At the same time, by considering the average diameter range of the trees, the number of trees can be estimated more accurately. This calculation part is the core of evaluating the number and distribution units of forestry resources. It directly gives the number of trees in the monitoring area ML in the monitoring area. This number is crucial for subsequent applications such as fire risk index calculation; This algorithm can quickly and accurately estimate the number of trees in the monitoring area ML by evaluating the number and distribution units of forestry resources. This result helps to understand the distribution and quantity of forestry resources and provide data support for the formulation of forestry management plans. After understanding the number of trees in the monitoring area ML, resource planning can be carried out more scientifically. Specifically, when formulating a felling plan, the felling area and felling amount can be determined based on the number and distribution of trees to ensure the sustainable use of forestry resources. Through accurate estimation of the number of trees, forestry resources can be managed more accurately, and prevention and control areas and methods can be determined based on the number and distribution of trees to improve prevention and control effects.

[0026] See also Figures 1 to 4 , the calculation formula for monitoring and reflecting the fire risk unit in forestry areas is as follows: ; in: FX is the fire risk index; W is the temperature of the monitoring area; S is the humidity of the monitoring area; J is the rainfall in the monitoring area; ML old is the number of old trees; ML total is the total number of trees, ML total Reflects the total number of n+m.

[0027] In this embodiment, the algorithm unit first " "This calculation part is to obtain the number of trees per unit area, that is, the tree density. Tree density is an important factor in assessing fire risk, because dense trees are more likely to cause and spread fires. This calculation part is one of the foundations of monitoring and reflecting the fire risk unit in the forestry area. It directly affects the calculation of the fire risk index FX. By considering the tree density, the fire risk in the monitoring area can be assessed more accurately." "This calculation part is to comprehensively consider the impact of the temperature W, humidity S and rainfall J in the monitored area on the fire risk. The higher the temperature, the lower the humidity and the less the rainfall, the higher the fire risk. By adding these factors and subtracting the rainfall, a comprehensive index related to the fire risk can be obtained. Among them, the rainfall J in the monitored area is reduced by dividing by 10 to reflect its inhibitory effect, and" "This calculation part is another basis for monitoring the fire risk units in the forest area. It directly affects the calculation of the fire risk index FX. By comprehensively considering climate factors, it can more comprehensively assess the fire risk in the monitored area," "This calculation part is to obtain the influencing factor of the proportion of old trees. Old trees are more likely to cause fires due to their rough trunks and easy-to-shed bark, and once a fire occurs, it is more difficult to extinguish. Therefore, the proportion of old trees is an important factor affecting fire risk. This calculation part further refines the calculation of the fire risk index FX by considering the proportion of old trees. By introducing this influencing factor, the fire risk in the monitoring area can be more accurately assessed; This algorithm can scientifically evaluate the fire risk index FX in the monitored area by monitoring the fire risk units in the forestry area. This result helps to understand the distribution and severity of fire risks and provide data support for the formulation of fire prevention and control plans. After understanding the fire risk index FX, potential fire hazards can be discovered in a timely manner and corresponding early warning and response measures can be taken. Specifically, cameras can be added in areas with high fire risks, patrols can be strengthened, and fire-fighting equipment can be prepared to reduce the possibility of fires. According to the changes in the fire risk index FX, the monitoring strategy can be dynamically adjusted, specifically by increasing the number of cameras and monitoring frequency during periods of high fire risk index, and appropriately reducing the number of cameras and monitoring frequency to reduce costs during periods of low fire risk index.

[0028] For example 2, please refer to Figures 1 to 4 , based on the fire risk index FX, and the value range of the fire risk index FX is (0, +∞); If the recent fire risk index FX result value trend is close to 0, it reflects that the fire risk in the monitored area is small; If the recent fire risk index FX result value trend is close to positive infinity, it reflects that the fire risk in the monitoring area is high; Based on the fact that the result value of the fire risk index FX is close to positive infinity, the specific measures are as follows: Method 1: If the number of old trees is ML old If there is no increasing trend, then the total area of ​​the monitored area ZM is increased and the total area of ​​the monitored area ZM is expanded; Method 2: If the number of old trees is ML old If the number of old trees increases, regular inspections should be carried out and old trees should be cut down in time to reduce the number of old trees. old .

[0029] In this embodiment, according to the change of the fire risk index FX, the monitoring strategy can be dynamically adjusted to reduce the fire risk. This adjustment process will directly affect the calculation result of the monitoring area coverage rate FM. Specifically, adding cameras in areas with high fire risks will expand the monitoring range and increase the monitoring area coverage rate FM, while reducing cameras in areas with low fire risks will reduce the monitoring range and reduce the monitoring area coverage rate FM. This dynamic adjustment helps to flexibly respond to fire risks according to actual conditions. By monitoring the circular impact of the fire risk unit in the forest area on the unit measuring the effectiveness of the monitoring coverage area, monitoring resources can be used more efficiently and management effectiveness can be improved. Specifically, increasing the number of cameras and monitoring frequencies during periods of high fire risk can improve monitoring efficiency and reduce the possibility of fires, while reducing the number of cameras and monitoring frequencies during periods of low fire risk can reduce costs and improve management efficiency. This flexible response to fire risks helps to achieve continuous improvement and optimization of forestry management. Monitoring the circular impact of the fire risk unit reflecting the forest area on the unit measuring the effect of the monitoring coverage area can also provide support for scientific decision-making in forestry management. Specifically, when formulating forest fire prevention plans, the key monitoring areas and priorities can be determined based on the fire risk index FX and the monitoring area coverage rate FM. When formulating felling plans, the felling areas and felling volumes can be determined based on the number and distribution of trees and the fire risk index FX. This scientific decision-making method helps to achieve sustainable utilization and protection of forest resources. Adjustment of the unit for measuring the effectiveness of monitoring coverage areas; The unit for measuring the effect of monitoring coverage area calculates the monitoring area coverage rate FM. This result directly affects the calculation of the number of trees in the subsequent monitoring area ML and the fire risk index FX. Therefore, in areas with high fire risks, the number of cameras can be increased to expand the monitoring range and improve the monitoring area coverage rate FM. This will help to more comprehensively monitor fire hazards, discover and deal with them in a timely manner. By adjusting the layout of cameras, they can cover key areas more effectively and reduce monitoring blind spots. In particular, cameras can be added in areas with dense trees or many flammable materials to improve monitoring effects. It is worth noting that increasing the number of cameras and optimizing their layout can significantly expand the monitoring scope, ensure that key areas are fully covered, and reduce monitoring blind spots, which helps to improve monitoring efficiency and thus more quickly discover and deal with fire hazards. According to the feedback from the fire risk index FX, the number and layout of cameras can be dynamically adjusted, and cameras can be added in areas with high fire risks and appropriately reduced in areas with low risks, thereby optimizing resource allocation, improving monitoring effects and reducing costs; Adjustment for assessing the quantity and distribution units of forest resources; The evaluation of the number and distribution of forest resources is calculated by the number of trees in the monitoring area ML. This result also affects the calculation of the fire risk index FX. Therefore, by pruning branches and cleaning up dead branches and leaves, the accumulation of flammable materials can be reduced, the possibility of fire can be reduced, old trees can be regularly inspected and evaluated, and trees with safety hazards can be cut down in time to reduce the impact factor of the proportion of old trees. In areas with high fire risks, the planting density of trees can be appropriately reduced to reduce the " ", thereby reducing the risk of fire. Under the premise of maintaining ecological balance, optimize the types and distribution of trees, select non-flammable or fire-resistant tree species for planting, and use modern scientific and technological means to conduct real-time monitoring and early warning of trees in the monitoring area, and take timely measures to deal with them; It is worth noting that strengthening tree management can reduce the accumulation of flammable materials, thereby reducing the possibility of fire. At the same time, regular inspection and evaluation of old trees and timely felling of trees with safety hazards can also effectively reduce fire risks. Adjusting tree planting density and optimizing tree species distribution can not only help reduce fire risks, but also improve the ecological environment. Selecting non-flammable and fire-resistant tree species for planting can enhance the fire resistance of forests. At the same time, reasonable planting density and tree species distribution can also help maintain ecological balance and promote biodiversity. Using modern scientific and technological means for real-time monitoring and early warning can detect abnormal situations in a timely manner and take measures to deal with them, which helps to intervene before a fire occurs, prevent the spread of fire, and reduce losses. In summary, the adjustment measures for measuring the effectiveness of monitoring coverage area units and evaluating the quantity and distribution units of forestry resources can not only help reduce fire risks and improve monitoring efficiency, but also optimize resource allocation, improve the ecological environment and enhance monitoring and early warning capabilities. These beneficial effects will jointly promote the continuous improvement and optimization of forestry management and protect the safety and sustainable development of forestry resources.

[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A field monitoring method for forestry management, characterized in that: The specific implementation steps are as follows: Step 1: Use the monitoring acquisition and image processing module and the auxiliary module to collect, identify and transmit image communications of trees and areas in the forestry monitoring area; Step 2: Use the data calculation and processing module to calculate and output the monitoring area coverage rate FM, the number of trees in the monitoring area ML, and the fire risk index FX; Step 3: Based on the recent trend of changes in the fire risk index FX, make intervention adjustments to measures; The data calculation and processing module includes a unit for measuring the effect of monitoring coverage area, a unit for evaluating the quantity and distribution of forestry resources, and a unit for monitoring and reflecting the fire risk of forestry areas.

2. A field monitoring method for forestry management according to claim 1, characterized in that: The equipment used in the monitoring acquisition and image processing module includes cameras, temperature sensors, humidity sensors, rainfall sensors, GPS locators, image processors, graphics workstations, wireless LAN equipment, and satellite communication equipment; The equipment used by the auxiliary module includes power supply equipment and lightning protection equipment; The equipment used by the data calculation and processing module includes servers and data storage equipment.

3. A field monitoring method for forestry management according to claim 2, characterized in that: The calculation formula for measuring the monitoring coverage area effect unit is as follows: ； in: FM is the area coverage of the monitoring area; X1 is the first boundary coordinate in the horizontal direction, and X2 is the second boundary coordinate in the horizontal direction. X1 and X2 reflect the monitoring coverage boundary in the horizontal direction; Y1 is the first boundary coordinate in the vertical direction, and Y2 is the second boundary coordinate in the vertical direction. Y1 and Y2 reflect the monitoring coverage boundary in the vertical direction; YB is the radius of the monitoring range; ZM is the total area of ​​the monitoring area.

4. A field monitoring method for forestry management according to claim 3, characterized in that: The calculation formula for evaluating the quantity and distribution units of forest resources is as follows: ； in: ML is the number of trees in the monitoring area; XB avg is the average value of the tree's minor diameter; DB avg is the average value of the major diameter of the trees; H avg is the average height of trees.

5. A field monitoring method for forestry management according to claim 4, characterized in that: The average value of the tree's minor diameter is XB avg The calculation formula is as follows: XB avg =(XB1+XB2+XB3+......+XB n ) / n; n is the total number of small diameter trees, and n reflects the total number of small diameter trees in the total area ZM of the monitoring area; XB1 is the diameter of the first smallest tree, XB2 is the diameter of the second smallest tree, XB3 is the diameter of the third smallest tree, and XB n is the diameter of the nth smallest diameter tree; The average value of the tree major diameter DB avg The calculation formula is as follows: DB avg =(DB1+DB2+DB3+......+DB m ) / m; m is the total number of large diameter trees, and m reflects the total number of large diameter trees within the total area ZM of the monitoring area; DB1 is the diameter of the tree with the largest diameter, DB2 is the diameter of the tree with the second largest diameter, DB3 is the diameter of the tree with the third largest diameter, and DB m is the diameter of the mth largest diameter tree; The average height of the trees H avg The calculation formula is as follows: H avg =(H1+H2+H3+......+H （n+m) ) / (n+m); (n+m) is the total number of trees, and (n+m) reflects the total number of all trees within the total area ZM of the monitoring area; H1 is the height of the first tree, H2 is the height of the second tree, H3 is the height of the third tree, H （n+m) is the height of the (n+m)th tree.

6. A field monitoring method for forestry management according to claim 5, characterized in that: The calculation formula for the fire risk unit in the forest area reflected by the monitoring is as follows: ； in: FX is the fire risk index; W is the temperature of the monitoring area; S is the humidity of the monitoring area; J is the rainfall in the monitoring area; ML old is the number of old trees; ML total is the total number of trees, ML total Reflects the total number of n+m.

7. A field monitoring method for forestry management according to claim 6, characterized in that: Based on the fire risk index FX, the value range of the fire risk index FX is (0, +∞); If the recent fire risk index FX result value trend is close to 0, it reflects that the fire risk in the monitored area is small; If the recent fire risk index FX result value trend is close to positive infinity, it reflects that the fire risk in the monitored area is high.

8. A field monitoring method for forestry management according to claim 7, characterized in that: Based on the fact that the result value of the fire risk index FX is close to positive infinity, the specific measures are as follows: Method 1: If the number of old trees is ML old If there is no increasing trend, then the total area of ​​the monitored area ZM is increased and the total area of ​​the monitored area ZM is expanded; Method 2: If the number of old trees is ML old If the number of old trees increases, regular inspections should be carried out and old trees should be cut down in time to reduce the number of old trees. old .

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