A forest operation optimization method integrating weather, soil, and operation data

Abstract

The application discloses a forest land operation optimization method integrating meteorological, soil and operation data, and relates to the technical field of forest land operation optimization. The method comprises the following steps: acquiring basic information of a target forest land to obtain a forest land information item, wherein the forest land information item is used for representing specification information of the target forest land; acquiring soil information of the target forest land based on the forest land information item to obtain a forest land soil item, wherein the soil information comprises soil humidity, soil temperature and soil pH value; and setting an acquisition threshold, wherein the acquisition threshold is a fixed time limit value. The meteorological and soil information are processed and analyzed, and the dynamic correlation between the two is established, so that the forest land soil item can be dynamically updated according to the meteorological data, the change of the soil information can be learned in time, and the appropriate time and mode are selected according to the dynamically updated soil information. The dynamic management mode reduces the adverse effects caused by the change of the meteorological and soil conditions.

Description

Technical Field

[0001] This invention relates to the field of forestry operation optimization technology, specifically a forestry operation optimization method that integrates meteorological, soil, and operation data. Background Technology

[0002] Forestry operations refer to various work and activities carried out in forests, woodlands, or related areas, typically covering all aspects of forestry. These operations can include afforestation, seedling cultivation, logging, transportation, forest land management, pest and disease control, forestry surveys and monitoring, forest protection, and other work related to forest land development and maintenance. In short, it involves various practical operations and work carried out in forests and woodlands. Forestry operation optimization refers to improving the efficiency, economy, environmental protection, and safety of forestry operations through scientific management and technical means, thereby achieving the sustainable use of forestry resources, improving operational processes, reducing unnecessary steps, and increasing operational speed and quality. Therefore, forestry operation optimization is an essential part of carrying out forestry operations.

[0003] The patent publication number CN119962233A discloses a method and system for optimizing forest land use using topographic mapping equipment. This method involves obtaining a topographic mapping data stream of forest land using the topographic mapping equipment; modeling the forest land using the topographic mapping data stream, combined with remote sensing image data streams and environmental data streams, to obtain a visual model of the forest land; dividing the visual model of the forest land into a forest land development model, a forest land protection model, and a forest land restoration model; making forest land use decisions based on the forest land development model, the forest land protection model, and the forest land restoration model, and constructing a ternary decision space for forest land use; performing optimization analysis on the ternary decision space of forest land use using a ternary optimization channel to generate a ternary optimization strategy for forest land use; and executing forest land use optimization based on the forest land development model, the forest land protection model, and the forest land restoration model, according to the ternary optimization strategy for forest land use, thereby improving the efficiency of forest land use.

[0004] When optimizing forestry operations using the above-mentioned and similar technical solutions, it is important to consider that forestry operations include afforestation, seedling cultivation, logging, transportation, forest management, pest and disease control, and other extensive work related to forest development and maintenance. Different operations are required at different times. However, during operations, variables such as weather, soil conditions, and related operational data can affect the planned work logs. Failure to fully consider the impact of weather, soil conditions, and related operational data can lead to poor optimization results in forestry operations. Summary of the Invention

[0005] The purpose of this invention is to provide a forestry operation optimization method that integrates meteorological, soil, and operational data to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for optimizing forest operations by integrating meteorological, soil, and operational data, comprising:

[0007] Obtain the basic information of the target forest land to get the forest land information item, which is used to represent the specification information of the target forest land;

[0008] Based on the forest land information item, the soil information of the target forest land is obtained, resulting in the forest land soil item. The soil information includes soil moisture, soil temperature, and soil pH value.

[0009] Set an acquisition threshold, which is a fixed time period value. Based on the acquisition threshold, acquire meteorological data of the target forest area to obtain forest meteorological items.

[0010] A meteorological-soil correlation model was created. Based on the interaction information between forest meteorological items and the meteorological-soil correlation model, the dynamic update results of forest soil items were obtained, and the soil update items were obtained.

[0011] Obtain the work log information of the target forest land, get the forest land log items, obtain the matching relationship between the forest land log items and the forest land soil items, and obtain the relationship mapping set;

[0012] Based on the interaction results between the relation mapping set and the soil renewal item, the forest log items are sorted to obtain the first sorted item;

[0013] Based on the first sorting item, obtain the device information associated with the first sorting item to obtain the associated device item. The associated device item represents the device information used to complete the work log information of the first sorting item.

[0014] Obtain the operation data of the associated equipment item, including operation duration data, and obtain the equipment status item;

[0015] The first sorting item is sorted a second time based on the equipment status item to obtain the second sorting item. Forestry operations are optimized based on the second sorting item, thereby achieving comprehensive optimization of meteorological, soil conditions and equipment operation data.

[0016] Furthermore, the method for creating the meteorological-soil correlation model includes:

[0017] Set a threshold for previous data acquisition, and based on the threshold, acquire meteorological and soil information of the target forest land from the previous data to obtain the previous meteorological items and the previous soil items;

[0018] The historical meteorological items are split into at least two historical meteorological segment items. The corresponding time periods of the historical meteorological segment items are obtained to obtain the meteorological segment time items.

[0019] Obtain soil information corresponding to the meteorological time segment in the previous soil items to obtain the soil benchmark segment items;

[0020] The model is trained using meteorological time segments and soil benchmarking segments as training data, and outputs dynamic correlation information between meteorological data and soil information, thereby obtaining a meteorological-soil correlation model.

[0021] Furthermore, the method for obtaining the aforementioned meteorological segmentation items includes:

[0022] Set fluctuation thresholds, which are meteorological fluctuation data values. There should be at least two fluctuation thresholds, each corresponding to a different type of meteorological data.

[0023] Based on the fluctuation threshold, the previous meteorological items are split to obtain at least two meteorological segment sets, and each meteorological segment set includes at least two category segment subsets corresponding to the meteorological data categories.

[0024] The meteorological segment set is combined to obtain the previous meteorological segment item.

[0025] Furthermore, the method for obtaining the relation mapping set includes:

[0026] Obtain the device information corresponding to the forest log item to get the log device item, obtain the attribute information of the log device item to get the device attribute item;

[0027] Obtain the mapping relationship between forest soil items and equipment attribute items, and then obtain the relationship mapping set.

[0028] Furthermore, the method for obtaining the first sorting item includes:

[0029] Soil renewal items are sorted in chronological order to obtain soil renewal sorting items, which are used to represent the dynamic changes of soil information within the acquisition threshold.

[0030] Based on the relation mapping set, obtain the equipment attribute items corresponding to the soil update sorting items to obtain the equipment attribute sorting items;

[0031] Based on the sorting results of the device attribute sorting items, the devices corresponding to the forest land log items are sorted to obtain the first sorting item.

[0032] Furthermore, the method for obtaining the device status item includes:

[0033] Obtain the working area and working time of the associated equipment item from the previous information, and get the associated working area item and associated working time item corresponding to the associated equipment item;

[0034] Based on the associated work area and associated work duration, the percentage work data of the associated equipment items is obtained, the aging information of the associated equipment items is obtained, and then the equipment status items are obtained.

[0035] Furthermore, the method for obtaining the second sorting item includes:

[0036] Obtain the dynamic time update range of the soil renewal item to get the soil renewal range item;

[0037] Based on the device status item, it is determined whether the corresponding device information in the first sorting item conforms to the soil renewal range item. When the corresponding device information does not conform to the soil renewal range item, based on the sorting order of the first sorting item, the corresponding device information that conforms to the soil renewal range item in the priority information is obtained as the replacement information item. The first sorting item sequence corresponding to the replacement information item is obtained and sorted and updated to obtain the second sorting item.

[0038] Furthermore, the basic information includes the location and size information of the target forest land, and the method for obtaining the forest land information items includes:

[0039] The first device is used to obtain the extent information of the target forest land, thus obtaining the forest land extent item.

[0040] Obtain the location information of the target forest land to get the forest land location item;

[0041] The forest land extent item and the forest land location item are combined to obtain the forest land information item.

[0042] Furthermore, the method for obtaining the forest soil item includes:

[0043] Set a segmentation value to perform regional segmentation on the forest land information item, and obtain at least two forest land segmentation items;

[0044] Set up data acquisition devices to acquire average soil moisture, average soil temperature, and average soil pH data for the forest land segment, and obtain the forest land soil data.

[0045] Compared with the prior art, the beneficial effects of the present invention are:

[0046] This integrated forestry operation optimization method, which integrates meteorological, soil, and operational data, acquires historical data, processes and analyzes meteorological and soil information, and establishes a dynamic correlation between the two. This allows forestry soil data to be dynamically updated based on meteorological data, enabling timely understanding of soil information changes and selection of appropriate times and methods based on dynamically updated soil information. This dynamic management approach greatly enhances the scientific nature and pertinence of forestry operations and effectively reduces the adverse effects caused by changes in meteorological and soil conditions.

[0047] Meanwhile, by sorting forest land log items and managing equipment, intelligent optimization of operations is achieved. Based on the interaction results of relation mapping set and soil renewal item, forest land log items are sorted, and the operation sequence can be reasonably arranged according to changes in weather and soil conditions. At the same time, operation data of related equipment items are obtained, equipment status is judged, and the operation sequence is adjusted again according to the equipment status, thus realizing comprehensive optimization of forest land operations. Attached Figure Description

[0048] Figure 1 This is a schematic diagram of the overall process of the present invention;

[0049] Figure 2 This is a schematic diagram of the forest soil acquisition process of the present invention;

[0050] Figure 3 This is a schematic diagram of the soil distribution information of forest land A according to the present invention;

[0051] Figure 4 This is a schematic diagram of the meteorological-soil correlation model creation process of the present invention;

[0052] Figure 5 This is a schematic diagram of the meteorological temperature segmentation subset of the present invention;

[0053] Figure 6 This is a schematic diagram of the meteorological humidity segmentation subset of the present invention. Detailed Implementation

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] Optimizing forestry operations requires comprehensive consideration of numerous factors to ensure efficiency and effectiveness. Forestry operations encompass multiple stages, including afforestation, seedling cultivation, logging, transportation, forest management, and pest and disease control. The specific requirements for these operations vary at different times. However, variables such as weather conditions, soil conditions, and relevant operational data significantly impact the established operational plan. Failure to adequately consider these factors may lead to unsatisfactory optimization results. Weather conditions are a crucial factor affecting forestry operations; rainfall, temperature, and wind directly influence afforestation survival rates, seedling growth rates, logging safety, and transportation efficiency. Soil conditions are another key factor; soil fertility, moisture, and pH directly affect tree growth and pest and disease occurrence. Different tree species have different soil requirements; therefore, during afforestation and seedling cultivation, it is necessary to select suitable tree species based on soil type and implement corresponding soil improvement measures. In conclusion, optimizing forestry operations is a complex and systematic process that requires comprehensive consideration of weather conditions, soil conditions, and other factors. Various factors, including relevant operational data, must be fully understood and incorporated into the formulation and execution of operational plans to effectively improve the efficiency and effectiveness of forestry operations. The forestry operation optimization method integrating meteorological, soil, and operational data provided in this application, by acquiring historical data, processes and analyzes meteorological and soil information, and establishes a dynamic correlation between the two. This allows forestry soil items to be dynamically updated based on meteorological data, enabling timely understanding of soil information changes and selection of appropriate times and methods based on dynamically updated soil information. This dynamic management approach greatly enhances the scientific rigor and targeted nature of forestry operations, effectively reducing the adverse effects of changes in meteorological and soil conditions. Furthermore, through the sorting of forestry log items and equipment management, intelligent optimization of operations is achieved. The sorting of forestry log items based on the interaction results of the relational mapping set and soil update items allows for the rational arrangement of operational sequences according to changes in meteorological and soil conditions. Simultaneously, by acquiring operational data of related equipment items, judging equipment status, and making secondary adjustments to the operational sorting based on equipment status, comprehensive optimization of forestry operations is achieved. Figure 1 As shown, it includes steps S100-S900.

[0056] Step S100: Obtain basic information about the target forest land and obtain the forest land information item.

[0057] It should be noted that the forest land information item is used to represent the specification information of the target forest land. The basic information includes the location information and size information of the target forest land. The method for obtaining the forest land information item includes: obtaining the range information of the target forest land through a first device to obtain the forest land range item, wherein the first device is a remote sensing drone carrying a positioning component, and the range information of the target forest land can be quickly obtained through the positioning remote sensing drone; at the same time, the location information of the target forest land is obtained to obtain the forest land location item, and the location information of the target forest land can be directly located through satellite positioning; the forest land range item and the forest land location item are combined to obtain the forest land information item.

[0058] Step S200: Obtain soil information of the target forest land to obtain the forest land soil item.

[0059] It is important to note that, such as Figure 2 As shown, the soil information includes soil moisture, soil temperature, and soil pH. The method for obtaining the forest land soil item includes: setting a segmentation value to segment the forest land information item into regions, obtaining at least two forest land segmentation items. The set segmentation value is 25%, that is, the region is segmented according to the length and width of the target forest land in the forest land information item; setting a data acquisition device to acquire the average soil moisture data, average soil temperature data, and average soil pH data of the forest land segmentation items respectively, to obtain the forest land soil item. The data acquisition device is an integrated device of soil temperature sensor, soil moisture sensor, and soil pH meter.

[0060] In the specific implementation process, such as Figure 3 As shown, we now need to obtain soil information for a certain forest land A, including soil moisture, soil temperature, and soil pH. The obtained information for the area of ​​forest land A is 1000m long and 500m wide. Based on the set segmentation value of 25%, forest land A is divided into 16 regions, numbered 01-16. The results of obtaining soil moisture, soil temperature, and soil pH of forest land A through data acquisition equipment are shown in Table 1.

[0061] Table 1

[0062] ;

[0063] At this point, the average soil moisture, average soil temperature, and average soil pH were obtained as 21.06%, 19.01℃, and 6.104, respectively, thus obtaining the forest soil item.

[0064] Step S300: Set the acquisition threshold and acquire meteorological data of the target forest area.

[0065] It should be noted that the acquisition threshold is a fixed time period value, and the set acquisition threshold is 5 days. Based on the acquisition threshold, the meteorological data of the target forest land is acquired to obtain the forest land meteorological item. That is, within the 5 days of the acquisition threshold, the meteorological data of the target forest land, including temperature and humidity, is acquired.

[0066] Step S400: Create a meteorological-soil correlation model and obtain the dynamic update results of forest soil items.

[0067] It is important to note that, such as Figure 4 As shown, after creating the meteorological-soil correlation model, the dynamic update results of the forest land soil item are obtained based on the interaction information between the forest land meteorological item and the meteorological-soil correlation model, thus obtaining the soil update item. The creation method of the meteorological-soil correlation model includes: setting a previous acquisition threshold, which is also a time threshold of 10 days; acquiring the meteorological and soil information of the target forest land in the previous data based on the previous acquisition threshold, thus obtaining the previous meteorological item and the previous soil item; splitting the previous meteorological item to obtain at least two previous meteorological segment items; obtaining the corresponding time period of the previous meteorological segment item, thus obtaining the meteorological segment time item; acquiring the soil information corresponding to the meteorological segment time item in the previous soil item, thus obtaining the soil benchmark segment item; using the meteorological segment time item and the soil benchmark segment item as training data to train the model, outputting the dynamic correlation information between meteorological data and soil information, thus obtaining the meteorological-soil correlation model.

[0068] It should be noted that the method for obtaining past meteorological segment items includes: setting a fluctuation threshold, which is the meteorological fluctuation data value, set at 5%, and having two fluctuation thresholds, each corresponding to a type of meteorological data, namely the temperature fluctuation threshold and the humidity fluctuation threshold; splitting past meteorological items based on the fluctuation threshold to obtain at least two meteorological segment sets, each meteorological segment set including at least two category segment subsets corresponding to the types of meteorological data; and combining the meteorological segment sets to obtain past meteorological segment items.

[0069] In the specific implementation process, such as Figures 5-6 Now, we need to create a meteorological-soil correlation model based on the meteorological and soil information of a certain forest land B. Based on the set historical acquisition threshold of 10 days, the meteorological and soil information of forest land B is obtained as shown in Table 2:

[0070] Table 2

[0071] ;

[0072] At this point, based on the set fluctuation threshold of 5%, there are two fluctuation thresholds: the meteorological temperature fluctuation threshold and the meteorological humidity fluctuation threshold, both 5%. Based on these two thresholds, the historical meteorological items are then segmented into two meteorological segment sets: a meteorological temperature segment set and a meteorological humidity segment set. The meteorological temperature segment set consists of five subsets: 01-03, 04-05, 06-07, 08-09, and 10. The meteorological humidity segment set consists of subsets: 01-03, 04-05, 06-07, 08-09, and 10. Five segments, 06-07, 08-09, and 10, are used to obtain past meteorological segments. The time segments are 01-03, 04-05, 06-07, 08-09, and 10, respectively, to obtain meteorological time segments. At this time, the soil information corresponding to the meteorological time segments in the past soil items is obtained to obtain soil benchmarking segments. The meteorological time segments and soil benchmarking segments are used as training data to train the model and output the dynamic correlation information between meteorological data and soil information, thereby obtaining the meteorological-soil correlation model.

[0073] Step S500: Obtain the matching relationship between the target forest land's work log information and the forest land soil item.

[0074] It is important to note that the process involves obtaining the work log information of the target forest land, obtaining forest land log items, and then obtaining the matching relationship between the forest land log items and forest land soil items to obtain a relationship mapping set. The methods for obtaining the relationship mapping set include: obtaining the device information corresponding to the forest land log items to obtain log device items, i.e., when completing the corresponding forest land log item, the corresponding work device is required; obtaining the attribute information of the log device items to obtain device attribute items; and obtaining the mapping relationship between the forest land soil items and the device attribute items to obtain the relationship mapping set.

[0075] In the specific implementation process, the work log information of a certain forest land C for a total of five days (a, e, and a) was obtained, including: routine monitoring, precision fertilization, soil improvement, drainage operations, and pest and disease control. Simultaneously, a meteorological-soil correlation model was created for forest land C. The soil moisture, soil temperature, and soil pH values ​​for forest land C for the five days (a, e, and a) were obtained as follows: a: 21, 18, 6.05; b: 23, 17, 6.10; c: 25, 6, 5.95; d: 27, 15, 6.20; e: 28, 13, 6.08. The matching relationship between the work log information and the soil information was obtained, namely: temperature... When humidity is stable, baseline data is established; a neutral pH is beneficial for comprehensive assessment of microbial activity, corresponding to routine monitoring. Increased humidity promotes nutrient dissolution, low temperatures slow down fertilizer decomposition, and slightly acidic conditions enhance phosphorus availability, corresponding to precision fertilization. High humidity accelerates the diffusion of soil conditioners, low temperatures inhibit organic matter mineralization, and acidic environments require alkaline neutralizers, corresponding to soil improvement. Oversaturated humidity requires drainage to prevent root rot, low temperatures exacerbate waterlogging damage, and a slight increase in pH due to the leaching of alkaline minerals, corresponding to drainage operations. High humidity and low temperatures promote the reproduction of pathogens such as Fusarium, and the hatching rate of insect eggs is highest at a neutral pH, corresponding to pest and disease control. This allows us to obtain the matching relationship between forest land log items and forest land soil items, resulting in a relationship mapping set.

[0076] Step S600: Sort the forest log entries to obtain the first sorted item.

[0077] It is important to note that the forest log items are sorted based on the interaction results between the relation mapping set and the soil renewal items, and the soil renewal items are sorted in chronological order to obtain the soil renewal sorting items. The soil renewal sorting items are used to represent the dynamic changes of soil information within the acquisition threshold. Based on the relation mapping set, the device attribute items corresponding to the soil renewal sorting items are obtained to obtain the device attribute sorting items. Based on the sorting results of the device attribute sorting items, the devices corresponding to the forest log items are sorted to obtain the first sorting item.

[0078] In the specific implementation process, the work log information for the next five days of a certain forest land D was obtained as follows: routine monitoring, precision fertilization, soil improvement, drainage operations, and pest and disease control. After creating a meteorological-soil correlation model for forest land D, the meteorological temperature and humidity of forest land D within the range of aa-ee for the next five days were obtained as follows: aa (23, 80), bb (25, 75), cc (30, 60), dd (29, 65), ee (27, 70). Due to the matching relationship between the work log information and the soil information, the following conditions were determined: when the temperature and humidity are stable, baseline data is established; when the pH is neutral, it is conducive to the comprehensive assessment of microbial activity, corresponding to routine monitoring; increased humidity promotes nutrient absorption. Dissolution and low temperatures slow fertilizer decomposition, while weak acidity enhances phosphorus availability, corresponding to precision fertilization; high humidity accelerates soil conditioner diffusion, while low temperatures inhibit organic matter mineralization, and acidic environments require alkaline neutralizers, corresponding to soil improvement; supersaturated humidity requires drainage to prevent root rot, while low temperatures exacerbate waterlogging damage, and a slight increase in pH due to the leaching of alkaline minerals, corresponding to drainage operations; high humidity and low temperatures promote the reproduction of pathogens such as Fusarium, and the hatching rate of insect eggs is highest at neutral pH, corresponding to pest and disease control. Therefore, the work log information needs to be reordered. Based on the changes in meteorological temperature and humidity within aa-ee, the work log information is ordered as follows: routine monitoring, precision fertilization, pest and disease control, drainage operations, and soil improvement.

[0079] Step S700: Based on the first sorting item, obtain the device information associated with the first sorting item to obtain the associated device item.

[0080] It is important to note that the associated device item represents the device information used to complete the work log information of the first sorting item. After determining the first sorting item, the corresponding associated device needs to be determined according to the specific sorting content.

[0081] Step S800: Obtain the operation data of the associated equipment item to obtain the equipment status item.

[0082] It should be noted that the operation data includes operation duration data. The method for obtaining the equipment status item includes: obtaining the operation area and operation duration of the associated equipment item in the previous information to obtain the associated operation area item and associated operation duration item corresponding to the associated equipment item; obtaining the percentage operation data of the associated equipment item based on the associated operation area item and associated operation duration to obtain the aging information of the associated equipment item, and then obtaining the equipment status item.

[0083] Specifically, obtaining the operation data of associated equipment items is to determine whether the associated equipment items can complete the corresponding work within a fixed time.

[0084] Step S900: Perform a secondary sorting of the first sorting item based on the device status item.

[0085] It is important to note that the second sorting yields a second sorting item. Based on this second sorting item, forestry operations are optimized, thereby achieving comprehensive optimization of meteorological, soil conditions, and equipment operation data. The method for obtaining the second sorting item includes: obtaining the dynamic time update range of the soil renewal item to obtain the soil renewal range item; based on the equipment status item, determining whether the corresponding equipment information in the first sorting item conforms to the soil renewal range item; when the corresponding equipment information does not conform to the soil renewal range item, based on the sorting order of the first sorting item, obtaining the corresponding equipment information that conforms to the soil renewal range item from the priority information as a replacement information item, obtaining the first sorting item sequence corresponding to the replacement information item for sorting and updating, and obtaining the second sorting item.

[0086] In the specific implementation process, after reordering the work log information of a certain forest land D, the sorting result is: routine monitoring, precision fertilization, pest and disease control, drainage operation, and soil improvement. The corresponding equipment information is: capacitive soil three-parameter sensor, variable fertilizer applicator, multispectral drone, remote-controlled ditching machine, and tracked multi-functional management machine. The dynamic time update range of the soil update item is obtained as: day 1-day 2-day 3-day 4-day 5. At the same time, among the equipment information corresponding to routine monitoring, precision fertilization, pest and disease control, drainage operation, and soil improvement, the remote-controlled ditching machine, due to its long service life, cannot complete the drainage operation within one day. However, in the ranking information, the tracked multi-functional management machine can complete the soil improvement operation within one day. Therefore, the tracked multi-functional management machine, which is ranked higher, is selected to perform the soil improvement operation on the fourth day, while the remote-controlled ditching machine is selected to perform the drainage operation on the fifth day, thus achieving the effect of operation optimization.

[0087] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended embodiments and their equivalents.

Claims

1. A forest operation optimization method integrating weather, soil, and operation data, comprising: obtaining basic information of a target forest to obtain a forest information item, the forest information item being used to represent specification information of the target forest; obtaining soil information of the target forest based on the forest information item to obtain a forest soil item, the soil information including soil humidity, soil temperature, and soil pH value; characterized in that: a threshold value is set, the threshold value being a fixed time limit value, weather data of the target forest is obtained based on the threshold value to obtain a forest weather item; a weather-soil correlation model is created, dynamic update results of the forest soil item are obtained based on interaction information of the forest weather item and the weather-soil correlation model to obtain a soil update item; obtaining work log information of the target forest to obtain a forest log item, obtaining a matching relationship between the forest log item and the forest soil item to obtain a relationship mapping set; based on interaction results of the relationship mapping set and the soil update item, the forest log item is sorted to obtain a first sorting item; based on the first sorting item, device information associated with the first sorting item is obtained to obtain an associated device item, the associated device item representing device information used to complete work log information of the first sorting item; obtaining operation data of the associated device item, the operation data including operation duration data to obtain a device status item; based on the device status item, the first sorting item is sorted again to obtain a second sorting item, and forest operation optimization is performed based on the second sorting item, thereby realizing comprehensive optimization of weather, soil conditions, and device operation data.

2. The method of claim 1, wherein: The method for creating the weather-soil correlation model comprises: a past threshold value is set, weather information and soil information of the target forest in past data are obtained based on the past threshold value to obtain a past weather item and a past soil item; the past weather item is split to obtain at least two past weather segment items, corresponding time periods of the past weather segment items are obtained to obtain weather segment time items; soil information corresponding to the weather segment time items in the past soil item is obtained to obtain soil benchmark segment items; the weather segment time items and the soil benchmark segment items are used as training data for model training, dynamic correlation information of weather data and soil information is output, and then the weather-soil correlation model is obtained.

3. The method of claim 2, wherein: The method for obtaining the past weather segment items comprises: a fluctuation threshold value is set, the fluctuation threshold value being weather fluctuation data values, the number of the fluctuation threshold values being at least two, corresponding to the types of weather data; based on the fluctuation threshold value, the past weather item is split to obtain at least two weather segment sets, the weather segment sets including at least two type segment subsets corresponding to the types of weather data; the weather segment sets are combined to obtain the past weather segment items.

4. The method of claim 1, wherein: The method for obtaining the relationship mapping set comprises: device information corresponding to the forest log item is obtained to obtain a log device item, attribute information of the log device item is obtained to obtain a device attribute item; a mapping relationship between the forest soil item and the device attribute item is obtained, and then the relationship mapping set is obtained.

5. The method of claim 4, wherein: The method for obtaining the first sorting item comprises: the soil update item is sorted according to a time sequence to obtain a soil update sorting item, the soil update sorting item being used to represent dynamic changes of soil information within the threshold value. Based on the relation mapping set, obtain the equipment attribute items corresponding to the soil update sorting items to obtain the equipment attribute sorting items; Based on the sorting results of the device attribute sorting items, the devices corresponding to the forest land log items are sorted to obtain the first sorting item.

6. The method of claim 1, wherein: The method for obtaining the device status items includes: Obtain the working area and working time of the associated equipment item from the previous information, and get the associated working area item and associated working time item corresponding to the associated equipment item; Based on the associated work area and associated work duration, the percentage work data of the associated equipment items is obtained, the aging information of the associated equipment items is obtained, and then the equipment status items are obtained.

7. The method of claim 1, wherein: The methods for obtaining the second sorting item include: Obtain the dynamic time update range of the soil renewal item to get the soil renewal range item; Based on the device status item, it is determined whether the corresponding device information in the first sorting item conforms to the soil renewal range item. When the corresponding device information does not conform to the soil renewal range item, based on the sorting order of the first sorting item, the corresponding device information that conforms to the soil renewal range item in the priority information is obtained as the replacement information item. The first sorting item sequence corresponding to the replacement information item is obtained and sorted and updated to obtain the second sorting item.

8. The method of claim 1, wherein: The basic information includes the location and size information of the target forest land, and the methods for obtaining the forest land information items include: The first device is used to obtain the extent information of the target forest land, thus obtaining the forest land extent item. Obtain the location information of the target forest land to get the forest land location item; The forest land extent item and the forest land location item are combined to obtain the forest land information item.

9. A method for optimizing forest operations by integrating meteorological, soil, and operational data according to any one of claims 1-8, characterized in that: The methods for obtaining the forest soil data include: Set a segmentation value to perform regional segmentation on the forest land information item, and obtain at least two forest land segmentation items; Set up data acquisition devices to acquire average soil moisture, average soil temperature, and average soil pH data for the forest land segment, and obtain the forest land soil data.

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