51 results about "Tree farm" patented technology

The invention discloses a method for monitoring the growing state of forest trees based on an unmanned aerial vehicle. The method for monitoring the growing state of the forest trees is realized through the growing height of forest trees. The major method comprises that the unmanned aerial vehicle flies at a specific height, fixed-point measurement and photographing are carried out through a distance measuring instrument and an imaging device which are carried by the unmanned aerial vehicle, and analysis is carried out through a computer so as to acquire the growing state of the forest trees. The method disclosed by the invention combines an unmanned aerial vehicle remote sensing system and modern forestry detection technologies in allusion to large-scale integration forest farms, and farmers are not required to go to the field to observe growing conditions of the forest trees, thereby saving a lot of labor cost and time. Meanwhile, image data recorded by a computer facilitates people to check at any time and carry out before-and-after comparison, thereby analyzing the actual growing conditions of the forest trees more accurately, and being convenient for carrying out uniform planning and management for large-scale forest farms.

The invention provides a device for assessment of dust-haze air cleaning effect of a plant through growth condition control, the device includes a 4 m*4 m * 4 m test case, the test case is internally provided with light equipment, an air conditioner and a humidifier; the test case is internally provided with an air suspended particle density measurement instrument, an air carbon dioxide concentration measurement instrument, a temperature detection instrument and a light intensity tracking instrument. BY use of the instruments, temperature and humidity inside the test case can be controlled, the test case is internally provided with fertile soil with the thickness of 300mm, and the plant is planted. In the experimental process of the device, experiment is performed by single variable experimental method, the air purification effect of different tree species in the illumination, temperature, humidity and other conditions can be respectively measured, a corresponding curve graph can be obtained, a corresponding model is established, by input of tree specie, temperature, illumination and other factors, air purification capacity of different forest green lands can be directly forecasted.

The invention discloses a stereoscopic planting and breeding method for a fruit farm. The stereoscopic planting and breeding method comprises the following steps: building a poultry house at the edge of the fruit farm, dividing spaces for freely breeding livestock in the fruit farm through mesh fences, and collecting and stacking livestock manures to prepare manure fertilizers; regularly finishing the land with fruit trees to keep the land loose and regularly watering the land; pruning fruit branches, making illumination sufficient to increase the single weight of fruits and guarantee the ground illumination between fruit tree plants; in the early spring, applying a proper amount of nitrogen and phosphorus fertilizers in a manner of buried fertilizer application to the ground around the brown of each fruit tree, and in the medium stage, applying manure fertilizers; before the summer every year, planting vegetables or medicinal material crops in the empty land in the fruit farm; in the middle summer, planting golden cicada seedlings under the trees, and waiting for harvesting. Stereoscopic planting and breeding is realized by fully using the space in the fruit farm, and interplanting of the vegetables or medicinal materials or breeding of golden cicada are carried out, so that the fruiting quality is guaranteed, and the income of planting and breeding farmers is met; the contradiction of short-term benefits and long-term development is solved, the food safety and the environmental pollution are solved, and long-term development of the planting and breeding farmers is facilitated.

The invention discloses a method for manufacturing high-density, middle-density and low-density boards by bamboo. Manufacturing raw materials include bamboo or bamboo and wood mixture. Manufacturing processes include cutting, digesting, hot grinding, binder applying, drying, forming, prepressing and hot pressing. The method has the advantages that the problem of raw material shortage caused by the fact that existing fiber boards (including middle-density fiber boards, high-density fiber boards and low-density fiber boards) are all made of three-waste wood materials is solved, and vast forest farms and bamboo resources in rural areas can be utilized fully. The method is simple and easy to operate; the boards manufactured by the method are safe and environment friendly, and are applicable to manufacturing of furniture, office appliances, decorations, ships, teaching equipment, floor boards, door skins, skirting lines or packaging and the like.

The invention discloses a forest fire danger real-time early warning method based on a GIS and a meteorological monitoring network. The forest fire danger real-time early warning method mainly comprises two parts, namely forest fire danger real-time early warning model construction and fire danger early warning. The method includes the following steps that: (1) determining early warning factors required by a forest fire danger real-time early warning model in the method; (2) calculating the weight of the early warning factors by using an AHP method; (3) determining the division standards of early warning factor thresholds and early warning grades; (4) completing the construction of the real-time early warning model by using a GIS related technology; and (5) based on the model, collecting experimental data, and carrying out forest fire danger early warning. Experimental results show that (1) according to the early warning model, set real-time early warning indexes and set real-time meteorological monitoring data, early warning signals can be obtained one hour in advance, and early warning and timely response of county-level and forest farm-level forest fire dangers are rapidly achieved; and (2) by introducing a GIS visualization mode, spatial distribution information related to forest fire dangers in a research area can be quickly generated, and the change condition of an earlywarning level can be visually observed.

The invention discloses a forest surface moisture content monitoring system based on LoRa wireless ad hoc network, and belongs to the field of forest monitoring and moisture content prediction. The forest surface moisture content monitoring system based on LoRa wireless ad hoc network covers two systems and one communication mode, namely, a sensor data acquisition system, a terminal display systemand a LoRa data transmission communication mode. Meanwhile, an ad hoc network is formed in communication mode and fully covers forest monitoring. The sensor data acquisition system adopts a high-precision environmental sensor; and the surface litter moisture content of a forest is predicted by measuring the temperature, humidity, air speed and air pressure of the forest. The applied technologiescomprise an STM32 single chip microcomputer system, LoRa data transmission communication configuration and networking, a display terminal design and the like.

The invention relates to a continuous monitoring method and system for forest stock and an execution method of the continuous monitoring method and system. The method comprises the following steps: 1, sampling design of a sample plot; 2, arranging an intelligent sample plot; 3, automatically collecting sample plot data; 4, accumulation dynamic updating: performing remote sensing change detection on the land type change sub-compartment, and updating the graph and attribute information of the forest resource change pattern spots at the same time; after a dynamic forest stand updating model is established for the small class with no land type change through the intelligent sample plot data, attribute information of the forest small class is updated; 5, checking and correcting precision; 6, monitoring and outputting: outputting the accumulated monitoring data in the current period; and 7, judging whether the monitoring period arrives. By implementing the method, the investigation and monitoring period is short, the monitoring result is accurate and comparable, the cost is greatly reduced, the workload and risk of working organization, quality inspection and production safety are reduced, the method is particularly suitable for investigation and monitoring of forest resource accumulation with counties and forest farms as operating units, and the comprehensive benefit is remarkable.

The invention discloses a disconnection protection judgment method suitable for a single-side power transmission line. The disconnection protection judgment method comprises the steps that voltage, current and switch position information on the two sides of the line are collected; according to the change of line voltage amplitude phases on two sides of the line before and after line breaking, thesingle-phase line breaking fault is quickly identified by combining current and switch information. The invention further discloses a corresponding protection device. According to the scheme, judgmentcan be completed within 100 ms when wire breakage occurs; and the power supply can be cut off within 200 ms, the problem that the power transmission line breakage fault cannot be quickly judged is solved, and the method is suitable for the power transmission line with a single-side power supply in various environments, especially the operation environment where fire or electric shock accidents are easily caused by overhead line breakage in forest farms, grasslands, petrochemical engineering and the like.

The invention relates to a GIS-based intelligent country gridding fire-fighting management method and system, and electronic equipment. The method comprises the steps: dividing a village and town region, a farmland region and a forest field region into independent grids according to a country GIS map, dividing each grid into a plurality of unit grids, and vectorizing the unit grids; collecting sensing data uploaded by a front-end collection device arranged in each unit grid; abnormal event information is determined according to analysis and comparison of the current sensing data, and the abnormal event information comprises an abnormal event name, an abnormal event level and an abnormal event position; and outputting a fire-fighting decision according to the abnormal event information, thefire-fighting decision comprising whether to give an alarm, an alarm team, fire-fighting equipment configuration and a fire-fighting path. According to the method, fire-fighting supervision can be conveniently carried out on rural areas, and relatively effective decisions can be conveniently provided for fire-fighting management.

The invention relates to the technical field of economic modes, in particular to a mode for improving marine economy by utilizing intensive management during ship transportation. The mode for improving marine economy by utilizing intensive management during ship transportation is characterized by comprising the following steps of S1, conducting forest felling: felling logs from a forest farm; S2, conducting board sawing on wood: breaking the felled logs into wood boards through a machine; S3, conducting ocean transportation and drying on the wood: loading the wood boards into a marine wood vacuum drying system, and conducting drying treatment on the wood boards in the ship transportation period; S4, warehousing on the shore: after the ship arrives on the shore, putting the dried wood boards into a warehouse for storage; and S5, conducting wood processing and selling: processing and selling the wood boards. Compared with the prior art, the mode for improving marine economy by utilizing intensive management during ship transportation has the following beneficial effects: 1, the wood turnover rate is improved; 2, the production cost is reduced, and the economic value is improved; 3, the carbon emission is reduced, and the environmental protection performance is improved; 4, the economic value is improved while resources are fully utilized; and 5, the idea of carbon neutralization is realized, and environment protection is facilitated.

The invention relates to a wind power generator, in particular to a movable wind power generation device adopting a three-ridge fan wing structure. The movable wind power generation device consists of a fan wing module, a variable speed power module and a framework shielding module, and comprises 28 components of a bottom cover, an outer cover, a bottom layer clapboard, an adjusting base plate, an adjusting nut, an adjusting lever, a motor base plate, a bevel gear, conical chain wheel, a gear shaft, a gear, a center shaft, a sleeve shaft, a fan blade C, a fan blade B, a sleeve shaft cap, a fan blade A, an end cap, a ball bearing, an upper layer clapboard, a middle layer clapboard, a constant voltage generator, a motor shaft, an adjustable rotating shaft, a sleeve shaft washer, a shaft pin, a framework and a rubber shock absorber strut. The movable wind power generator overcomes the defects that the current well known wind power generator has a huge volume, a low wind energy utilization ratio, immovability and the like, forms the wind power generation device with a lean volume, reliable operation, strong adaptability and wide application range, is particularly suitable for the requirements of non-fixed occasion industries such as ocean fishery, ocean navigation, field operation, emergency rescue and disaster relief and the like in addition to usages in fixed occasions such as families, factories, livestock farms, farms, forest farms, playgrounds and the like, and has a wide market space, extremely high economic added value and social use value.

The invention relates to a monitoring system, in particular to a forest farm fire prevention monitoring system based on data transmission. A lifting structure is movable in the retracting cavity, and the lifting structure is connected to a manual adjustment structure arranged at the bottom of the protective column. The manual adjustment structure can be Drive the lifting structure to move in the retracting cavity; the upper parts of the opposite sides of the protective column are respectively equipped with retractable components. The retractable components include a photovoltaic structure and a smoke sensing structure, and the retractable components are connected to the lifting structure; In addition, the upper parts of the two sides are provided with telescopic mechanisms respectively, and the telescopic mechanisms are also connected to the lifting structure. The telescopic mechanisms include vertically arranged spherical cameras; one group of telescopic mechanisms are provided with climbing components on the same side, and the climbing components are connected to the telescopic mechanisms. The set manual adjustment structure can drive the lifting structure to move in the retracting cavity, and can respectively drive the retracting component and the telescopic mechanism to move during the moving process of the lifting structure, reducing the resistance during installation and avoiding damage to the system equipment.

The invention provides a forest fire behavior potential prediction method based on multi-source data fusion, and belongs to the field of forest fire early warning. The forest fire behavior potential prediction method comprises the following steps: identifying combustible types according to airborne hyperspectral remote sensing data, estimating vegetation coverage, and inverting vegetation canopy moisture content; inverting a vegetation vertical structure according to the laser radar point cloud data; obtaining a subcompartment factor according to the forest resource planning survey data; obtaining surface combustible information according to the sample plot survey data; and establishing a combustible attribute data table by using the combustible type, the vegetation coverage, the vertical structure, the subcompartment factor and the ground surface combustible information and taking a subcompartment as a unit, generating three potential indexes and a spatial distribution diagram of a ground surface fire behavior, a crown fire behavior and an effective combustible, and carrying out forest fire behavior potential prediction. According to the method, the forest fire behavior potential is predicted by taking a subcompartment as a unit on the forest farm scale, so that the forest fire behavior potential is predicted more accurately and timely, and prevention and timely fighting of forest fire disasters are realized.

The invention discloses a larch distribution change and productivity collaborative estimation method under climatic change conditions. The method comprises the following steps: determining larch artificial forest tree species parameters of a forest farm level 3PG model and forest farm level climatic data; and inputting tree species parameters and climate data of the artificial larch forest. According to the larch distribution change and productivity collaborative estimation method under the climatic change condition, distribution and productivity change of a forest farm larch man-made forest can be predicted at the same time, and the influence of climatic change on the larch man-made forest can be evaluated; according to the method, main climate limiting factors of growth of the larch under current and future climate change conditions and changes of distribution and productivity of the larch can be evaluated in detail, the changes influence one another under a unified framework, the method has biological interpretation significance, productivity main variables interested by forest managers are provided, and the forest managers can learn about the growth of the larch. And the distribution and growth potential of the future larch man-made forest can be cooperatively evaluated in space and time.

The invention discloses a pesticide spraying device for forestry plant diseases and insect pests, and relates to the technical field of pesticide spraying for forestry plant diseases and insect pests,in order to solve an issue of saving the labor force of forest farm workers. The invention specifically includes a base, outer walls of four corners of the bottom of the base are provided with universal wheels, the outer wall of the top of the base is provided with through holes, the base is provided with fixing blocks close to the outer walls of the two sides of the through holes, and the outerwalls of the tops of the two fixing blocks are both welded with semicircular rings. The outer walls of the tops of the two semicircular rings are clamped with limiting rings. One end of one of the limiting rings is fixed with a hand rotating handle through a bearing, the end of the limiting ring, far away from the hand rotating handle, is fixed with a mixing mechanism through a connecting shaft, and one end of the other limiting ring is provided with a connecting shaft. The opposite end of the two connecting shafts is provided with a same pesticide box, and the outer wall of one side of the bottom of the pesticide box is provided with a feeding port. The invention can move the whole device at will through a handle and universal wheels, so as to overcome the disadvantage of using a strap-type pesticide spraying device and improve the pesticide spraying efficiency for forest pests and diseases.

The invention discloses a forest fire prevention method, device and system based on linkage of fire detection radar, a camera and an unmanned aerial vehicle. The system comprises a plurality of cameras arranged above a forest farm and the fire detection radar. The camera is connected with a display device used for observing forest farm scene information. The camera and the fire detection radar areconnected with a data server through a linkage device. The linkage device is in signal connection with the display device; the linkage device is in signal connection with an unmanned aerial vehicle flight controller; the fire detection radar and camera forest fire prevention system is reasonable in design, existing fire detection radar and camera forest fire prevention schemes are integrated, andunmanned aerial vehicle support is added, so that the fire detection radar, the camera and the unmanned aerial vehicle form an organic whole. Compared with a single-camera scheme, the working intensity of attendants is reduced, and compared with a camera and radar direct combination scheme, the operation complexity of the attendants is reduced.

The invention discloses a soil loosening and fertilizing device for ecological forest farms, and relates to the technical field of ecological forest farms. The soil loosening and fertilizing device for the ecological forest farms comprises a fixing base, and a hydraulic cylinder is connected to the outer wall of the right side of the fixing base in a rotating mode. According to the soil looseningand fertilizing device for the ecological forest farms, the device is connected to a traction vehicle through the fixing base, the hydraulic cylinder is started, the angle of a rotating plate is adjusted according to the tree age and the tree variety, then the traction vehicle drives the device to move forwards, a soil turning shovel is inserted into soil to move forwards so as to turn the soil, grounding wheels are attached to the bottom surface to rotate, a driving gear drives a driven gear to rotate, the driven gear drives a driven belt wheel to rotate through a driving belt wheel, the driven belt wheel drives a rotating rod and a fixing rod to rotate, the fixing rod rotates to the upper portion to jack and rotate a sealing plate, so that the top of the sealing plate is no longer attached to a funnel, and a fertilizer in a fertilizer box leaks into the soil from the bottom of the funnel.

The invention discloses a toilet sewage recycling device suitable for a forest farm in a cold region, and relates to the technical field of sewage purification. The device comprises: a plurality of filtering units arranged in a foundation soil layer below a frozen soil layer in an array mode, wherein each filtering unit comprises a barrel, a water permeable layer, a broken stone layer, a filler layer and a wood chip layer, a plurality of filtering through holes are formed in the side wall of the barrel in the circumferential direction, the top of the barrel is communicated with a first pipe body for introducing sewage, a water outlet pipe and a second pipe body for introducing gas in the barrel are arranged at the bottom of the barrel, the side wall of the barrel is coated with the water permeable layer, and the broken stone layer, the filler layer and the wood chip layer are sequentially arranged in the barrel from bottom to top; and an activated carbon filter layer and a water collecting tank. According to the invention, a plurality of filtering units arranged below a frozen soil layer are used for purifying sewage, so that the sewage in a cold region is prevented from being frozen.

The invention discloses a forest resource monitoring method based on an unmanned aerial vehicle aerial survey technology. Scanning processing is carried out on two-dimensional image data shot through a remote sensing image technology through a CSS reading technology, so the accurate finding of forest resource data in a forest farm subcompartment is facilitated, the improvement of the subcompartment interpretation result accuracy is benefited, and the interpretation accuracy is increased to 93% or above. According to the invention, forestry resource information is obtained through unmanned aerial vehicle image processing, so that workers can carry out all-directional data comparison and calculation conveniently and can master specific forest resources conveniently; and a point cloud segmentation algorithm is carried out on the monitoring point cloud data, the crown breadth of each tree is accurately segmented from the unmanned aerial vehicle aerial photogrammetry point cloud, so that the single tree information is obtained, the forest farm subcompartment can accurately master the specific growth condition of the single tree and know the condition of the single tree in the whole forest, accurate study and judgment can be made, and actual forest resource planning is facilitated.

The invention relates to a monitoring system, in particular to a forest farm fireproof monitoring system based on data transmission. A lifting structure is movably arranged in a folding and unfolding cavity, the lifting structure is connected with a manual adjusting structure arranged at the bottom of a protection column, and the manual adjusting structure can drive the lifting structure to move in the folding and unfolding cavity; folding and unfolding assemblies are movably arranged on the upper portions of the two opposite sides of the protection column correspondingly, each folding and unfolding assembly comprises a photovoltaic structure and a smoke sensing structure, and the folding and unfolding assemblies are connected with the lifting structure; telescopic mechanisms are movably arranged on the upper portions of the other two opposite sides of the protection column correspondingly, the telescopic mechanisms are also connected with the lifting structure, and each telescopic mechanism comprises a vertically-arranged spherical camera; climbing assemblies are arranged on the same side of one telescopic mechanism and connected with the telescopic mechanisms. The arranged manual adjusting structure can drive the lifting structure to move in the folding and unfolding cavity, the folding and unfolding assembly and the telescopic mechanism can be driven to act in the moving process of the lifting structure, the resistance during installation is reduced, and system equipment is prevented from being damaged.

The invention discloses a fire simulation processing method based on the Internet of Things, relates to a security simulation method, and solves the problem that an existing forest fire spreading determination method adopts a single calculation method. The method comprises the following steps that a fire scene model performs three-dimensional space modeling on a forest farm according to a vegetation type, a terrain trend and a real-time wind power factor of the forest farm and splits the forest farm into unit blocks with consistent attributes; the fire scene model collects a fire spreading factor for each unit block, multiple linear regression is carried out by using a mathematical statistics method according to the multiple spreading factors, the real-time fire spreading factor of the current unit block is collected, the linear regression function of each unit block is fitted, and fire scene model hyper-parameters and multiple curve clusters of the target forest farm are generated. According to the method, the simplified forest fire spreading model is applied, and the characteristics of forest fire macroscopic spreading are combined, so that the development of the fire disaster can be quickly researched and judged.

The invention relates to the technical field of unmanned aerial vehicle marking, and in particular, relates to a marking mechanism of a large unmanned aerial vehicle for forest farm nursery stock inspection, wherein the marking mechanism comprises an unmanned aerial vehicle body; a driving mechanism is mounted on the unmanned aerial vehicle body, and a protection mechanism for protecting propellers is mounted on the driving mechanism; and a pesticide spraying mechanism for treating plant diseases and insect pests is mounted on the protection mechanism, two limiting mechanisms are oppositely arranged on the pesticide spraying mechanism, two reinforcing mechanisms are oppositely arranged on the pesticide spraying mechanism, the protection mechanism abuts against the reinforcing mechanisms, and a marking mechanism for positioning and marking the positions of the plant diseases and insect pests is mounted on the unmanned aerial vehicle body. The driving mechanism is mounted on the unmanned aerial vehicle body, when the unmanned aerial vehicle lands, the driving mechanism controls the protection mechanism to be opened without protecting the propellers, at the moment, the protection mechanism makes contact with the ground, the stability of the landing state of the unmanned aerial vehicle is improved, and when the unmanned aerial vehicle body inspects nursery stocks, the driving mechanism controls the protection mechanism to protect the propellers.

The invention discloses a wood handling robot for a forestry farm, which comprises a frame A, a plurality of rollers A hinged to the inside of the frame A, four wheels are fixed on the lower end of the frame A, and the frame A The side end of the frame A is fixed with an oblique frame B, and the inner side of the frame B is provided with several rollers B hinged with it, and the lower end of the frame B is connected with the frame A through a bracket. The other end of the frame A is fixed with a vertically arranged plate C, and the bottom end of the plate C is fixed with a hydraulic cylinder A. The present invention will not deviate during the process of pulling the trunk, and will not get stuck or collided when pulling the trunk at the same time, which can ensure the quality of the trunk and provide guarantee for the later production of high-quality wood, and the stability of the device High, there will be no accidents on slopes, and it is convenient and quick to carry multiple trunks at one time, and it can ensure that the trunks will not move during the transportation to avoid unnecessary damage to the trunks.

The invention discloses an ecological forest farm soil loosening and fertilizing device which structurally comprises a connecting piece, a fixing plate, a working main machine and moving wheels, the connecting piece is arranged at the rear end of the fixing plate, the working main machine is installed at the front end of the fixing plate, and a swing plate swings to drive shaping teeth to be inserted into alluvial sandy soil through elastic torsion applied to a soil digging mechanism by a torsion shaft; after rotating shafts among the five shaping teeth make contact with the alluvial sandy soil of a block-shaped structure, the alluvial sandy soil of the block-shaped structure is further smashed through a toothed bar, the dispersity of the alluvial sandy soil after soil loosening is improved, the output end of a motor drives a cam to rotate, a pressing plate is repeatedly extruded, and the soil loosening efficiency is improved. At the moment, the telescopic pipes on the two sides continuously stretch out and draw back at the lower end in the fixed pipe, the lower end of the collecting pipe is driven to be inserted into the alluvial sandy soil in the stretching-out and drawing-back process, the fertilizer is discharged out of the collecting pipe inserted into the alluvial sandy soil, and therefore the fertilizer is discharged into the deep layer of the alluvial sandy soil, and the effect that the fertilizer is absorbed by vegetation is improved.

The invention discloses a method for increasing the yield of undergrowth vegetation in an undergrowth economic forest grass mode, and belongs to the technical field of forest land development. The method for increasing the yield of the undergrowth vegetation comprises the step of planting imperata cylindrica under a forest. The method has the outstanding advantages of being effective, simple, easyto implement, low in cost, considerable in return and the like, is very suitable for large-area popularization in various forest farms, and has very wide application prospects.

The invention discloses a method for automatically extracting forest canopy density through an unmanned aerial vehicle digital elevation model, and takes Dongtai Forest Farm of Jiangsu Province as the implementation object of the method. Firstly, the image data of Dongtai Forest Farm was acquired by UAV, and the image data was spliced ​​through digital modeling to extract the DEM data; then, the remote sensing image processing software was used to extract the pixel value interval of the non-canopy area in the target DEM data, And carry out mask processing, and finally obtain the proportion of the masked section and the non-masked section through statistical analysis, so as to obtain the accurate value of the forest canopy density. Compared with other canopy closure measurement algorithms, the accuracy and precision of this method have been greatly improved, especially the work efficiency has been greatly improved.

The invention discloses an unmanned aerial vehicle forest fire monitoring system based on jetson tx2, belongs to the technical field of unmanned aerial vehicle control, and relates to a control systemfor the flight monitoring of an unmanned aerial vehicle which performs image processing based on jetson tx2 (nvidia embedded computer) in a forest farm. The invention relates to an unmanned aerial vehicle forest fire monitoring system structure based on a jetson tx2. The structure comprises a jetson tx2 computer subsystem, a ZED camera image acquisition subsystem, an unmanned aerial vehicle flight control subsystem, a motor control subsystem and a battery power supply management subsystem which are connected through a uart serial port to form a total system framework. Through the characteristics of rapidity and flexibility of the unmanned aerial vehicle, a fire behavior is found in time, jetson tx2 is used for processing information in real time and sending the information back to the background, the functions that background personnel handle the fire behavior in time and prevent and handle a forest fire behavior are achieved, and important guiding significance is achieved for actualfire extinguishing work.

The invention relates to a method for breeding drought ducks under a forest. The method specifically comprises the following steps: wing tips of hatched drought ducks are sheared by 1 cm within 24 h;after the drought ducks are raised for 3 weeks, mouth tips of the drought ducks are cut by 2 cm with a mouth cutting device; a breeding forest farm for the drought ducks is a forest farm with slopes;cichorium endivia and alfalfa are planted in the forest farm in spring and summer, and radish and ryegrass are planted in autumn and winter; and the drought ducks at the age of 5-6 weeks are fed with50% of pellet feed for ducks and 50% of green grass feed, the drought ducks at the age of 6-10 weeks are fed with 25% of pellet feed for ducks, 25% of wheat and 50% of green grass feed, and the drought ducks at the age of 10-20 weeks are fed with 50% of wheat and 50% of green grass feed. The method changes a water surface breeding manner for breeding drought ducks, so that the drought ducks are simpler to manage during breeding, feed is saved, the incidence of the drought ducks is decreased, and breeding benefits are improved.