38 results about "Mountain forest" patented technology

The invention discloses a steep mountainous area forest height inversion method and device fused with rising and falling rail short wave InSAR data, and aims to solve the problems of insufficient observation information and steep mountainous area gradient decoherence during InSAR inversion, and the method comprises the steps: obtaining rising and falling rail short wave InSAR data and sparse LiDAR data, and carrying out the preprocessing; calculating the gradient by using a digital elevation model, and performing terrain effect correction on the effective vertical wave number; determining a lifting rail data overlapping region, and establishing a semi-empirical SINC model for a non-overlapping region to invert the forest height; constructing a double-baseline forest height inversion model considering coherent phase and amplitude at the same time for the overlapped region, determining an optimal model parameter by taking the sparse LiDAR forest height as control, and performing inversion on the forest height; and finally, inlaying forest heights of the overlapping region and the non-overlapping region to form a complete and continuous product. According to the method, high-precision forest height inversion of the steep mountainous area is realized by fusing the ascending and descending rail InSAR data, and the method has good stability and popularization value.

The invention discloses a mountain forest global intelligent fire monitoring and automatic disposal system. The system comprises a rainwater collection and water polo fire extinguishing unit, a wind-solar complementary power supply and robot dog battery replacement unit, a multi-sensor monitoring unit, an unmanned aerial vehicle disposal unit and an intelligent control center. The system is based on theoretical design and engineering planning, rainwater is collected and filled into a specially-made rubber water ball, and accurate throwing fire extinguishing of the unmanned aerial vehicle is achieved; wind-solar power generation and robot dog autonomous power conversion design is adopted, so that the power supply continuity of the system is ensured; through the multi-level multi-sensor fusion design, low false alarm and rapid identification of the fire behavior are realized; and a three-level fire disposal strategy is designed, and automatic disposal and manual remote takeover are supported. The water storage tank is of a heat preservation heating structure, and annual stable operation is achieved. The system is suitable for fire prevention of large-area mountain forests, realizes water source self-sufficiency, autonomous power supply, intelligent monitoring, automatic fire extinguishing and autonomous operation and maintenance in principle, and remarkably improves the early-stage handling capacity of mountain forest fires.

The invention discloses an image data acquisition method and device based on an unattended intelligent airport, and relates to the technical field of image data processing.The method comprises the steps that forest image data are acquired based on the unattended intelligent airport, the unattended intelligent airport selects a forest area meeting preset mountain forest conditions, and the selected forest area is selected as a forest area; the unattended intelligent airport is used for taking off, landing and parking a predetermined type of unmanned aerial vehicle, and the predetermined mountain forest conditions comprise that the height fall of a mountain land is greater than a preset fall threshold value, the forest vegetation coverage rate is higher than a preset coverage rate threshold value, and the number of roads in a forest is lower than a preset number threshold value; and analyzing the preprocessed forest image data by adopting a pre-trained machine learning model, identifying a forest resource state, and displaying the forest resource state on a terminal screen. The technical problems that image resource analysis is difficult to carry out on an unattended intelligent airport system in a severe environment and the operation efficiency is low in the prior art are solved.

1. Name of the designed product: sofa (mountain forest). 2. Use of the designed product: sofa for sitting when resting. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The invention discloses a rare earth mining area illegal mining unmanned aerial vehicle remote sensing intelligent detection method fusing multi-scale convolution and an attention mechanism. According to the method, YOLO11m is used as a baseline network framework, a multi-scale convolution attention enhancement module is embedded in the feature connection position of a backbone network and a neck network of the YOLO11m, and the multi-scale convolution attention enhancement module is formed by cascading a channel attention module, a space attention module and a multi-scale convolution residual block module. Complementary collaboration is formed among semantic channel enhancement, spatial region focusing and multi-scale context modeling through a progressive enhancement link, so that the detection rate and the positioning stability of a suspected illegal mining target under the complex mountain forest region condition are improved.

The application discloses a forest leaf area index inversion acquisition method and system based on data fusion. The acquisition method comprises the following steps: performing cloud removal processing and cutting on remote sensing image data of a research area to obtain a segmented image; based on land cover data, obtaining forest pixels in each segmented image, and performing spatial aggregation matching with resolution to obtain aggregated remote sensing images; extracting a vegetation index from the segmented image; obtaining forest canopy height data of the research area; taking reflectivity values of different bands in the aggregated remote sensing images, the vegetation index, the forest canopy height data and a sun sensor related parameter as inputs, and taking the forest leaf area index as output to construct a forest leaf area index fusion prediction model, and obtaining a prediction result. The LAI distribution result obtained by the application has more spatial details, is more suitable for mountain forest ecosystems with large spatial heterogeneity, and can accurately and rapidly monitor mountain vegetation parameters.

The invention provides a fire monitoring method, which comprises the steps of performing data acquisition on a mountain forest fire scene through data acquisition equipment, performing scanning for flame color distribution and contour shape, and generating an initial fire feature matrix in combination with dynamic features of motion track fluctuation and regional heat accumulation; after the fire risk distribution map is obtained, adjusting key parameters in the fire feature vector by adopting a solution concentration proportioning technology and simulating the influence of a chemical environment stability test on the smoke diffusion rate, and obtaining the optimized fire state description; and according to the dynamic boundary of the fire area, fusing boundary heat flow analysis and solvent evaporation rate logic, analyzing the change trend of the smoke concentration gradient in the fire area, and generating the fire diffusion prediction sequence.

The present application relates to the technical field of mountain forest fertilization, and discloses a mountain forest tree energy-saving and environment-friendly slow-release fertilizer device, which comprises an enclosing cylinder, the enclosing cylinder is provided with an enclosing cavity, the enclosing cavity is provided with a swing ring plate, the swing ring plate is provided with an outer circumferential ring and an inner circumferential ring, the inner circumferential ring surrounds a tree base and is elastically connected with the tree base, and the outer circumferential ring surrounds the enclosing cavity in a circumferential direction and is elastically connected with the inner side wall of the enclosing cavity; the bottom of the swing ring plate is arranged in a suspended manner, the swing ring plate is provided with a storage cavity for placing fertilizer, and a plurality of fertilizer application holes are arranged in the swing ring plate; the top opening of the enclosing cavity is provided with a floating ring plate, the floating ring plate is annular, the outer side of the floating ring plate is provided with a floating outer circumferential ring, and the inner side of the floating ring plate is provided with a floating inner circumferential ring; the floating outer circumferential ring is elastically connected with the top of the enclosing cylinder, and the floating inner circumferential ring is elastically connected with the tree base; the floating ring plate is provided with a water cavity which is concave downward, and a plurality of water permeable holes are arranged in the floating ring plate; a plurality of support strips are arranged at the bottom opening of the enclosing cavity, and the inner ends of the support strips are fixedly connected with the tree base.

This invention relates to an automated monitoring method for the dynamic changes of plant diversity in mountainous forest areas, comprising: constructing a three-dimensional model of the target mountainous area and deploying a sensor network; collecting microclimate data and soil characteristic data to determine a spatial distribution matrix; acquiring historical plant distribution data of the target mountainous area, mapping it to the spatial distribution matrix to construct a comprehensive distribution map of environmental factors, and determining a correlation model between plant distribution and environmental factors; acquiring real-time satellite remote sensing image data of the target mountainous area, using the correlation model to analyze the characteristics of changes in plant cover and plant diversity distribution, and locating several key plant distribution areas; identifying plant species and counting their numbers in the key plant distribution areas, updating the comprehensive distribution map of environmental factors, and completing the automated monitoring of the dynamic changes of plant diversity in the target mountainous area. This invention integrates multi-source environmental data to achieve automated analysis of plant diversity distribution.

The invention relates to the technical field of fire distance measurement, and provides a mountain forest fire distance accurate measurement method and system based on three-dimensional panorama. The method comprises the following steps: determining a preset mountain forest monitoring area, performing pitching image acquisition in the area, and identifying mountain forest topographic features; dual-spectrum low-power-consumption pan-tilt modules are obtained, monitoring range penetration fitting is executed in combination with topographic features, monitoring points and a monitoring area are generated, and each monitoring point is provided with one pan-tilt module; performing visible light and thermal imaging time-space synchronous acquisition on a monitoring area through a holder module of a monitoring point, calculating the distance from a fire point to the monitoring point, and generating a fire point distance measurement time sequence; future environment prediction information is collected, the fire point diffusion direction and speed are predicted in combination with a fire point distance measurement time sequence, a diffusion prediction result is generated, and the technical problems that an existing mountain forest fire monitoring system is poor in adaptability to complex terrains, low in distance measurement precision and insufficient in fire point diffusion prediction capacity are solved.

The utility model is suitable for the technical field of gastrodia elata planting, and provides a water accumulation prevention device for gastrodia elata planting under a mountain forest. The drainage groove is formed in one side of the retaining wall and used for drainage of the gastrodia elata planting land under the mountain forest; the overflow pipe is fixedly mounted on the retaining wall, and the water outlet end of the overflow pipe extends into the drainage groove; the mesh enclosure is fixed at the water inlet end of the overflow pipe and is used for blocking impurities; the cover plate is arranged on the drainage groove; and the scraping plate is arranged in the drainage groove and is used for cleaning impurities. According to the water accumulation prevention device for planting gastrodia elata under the mountain forest, soil loss is reduced through the retaining wall, and the silt accumulation risk of the drainage groove is reduced from the source; the overflow pipe is matched with the drainage channel to form a drainage channel and matched with the mesh enclosure to intercept impurities to guarantee smooth drainage.

A weather forecast service integrated display board relates to the field of scenic spot weather forecast and is used for providing more visual weather forecast for mountain forest type scenic spots. The weather forecast service integrated display board comprises a pre-embedded base, a supporting column, a display screen and a broadcasting assembly. The embedded base is embedded underground; the supporting column is fixedly connected with the pre-buried base, part of the supporting column is buried underground, and the top of the supporting column forms an inclined plane; the display screen is arranged on the inclined face of the supporting column and attached to the inclined face of the top face of the supporting column, the edge of the display screen extends out of the supporting column, the display screen comprises a map part, a weather information part and a precautions part, the map part and the weather information part are distributed at intervals, and the map part and the precautions part are distributed at intervals. The announcement part is adjacent to the weather information part; the broadcasting assembly is arranged on the display screen, and the broadcasting assembly is arranged on the part, located outside the supporting column, of the display screen. The method is used for providing more visual weather forecast for tourists in the mountain forest type scenic spot.

The application discloses a mountainous forest tree root continuous drip irrigation system based on water storage irrigation, relates to the technical field of forest tree water storage irrigation, and comprises a tree hoop assembly arranged on the trunk of a forest tree, a water storage and flow guide assembly and a rainwater collecting and water guiding assembly. The tree hoop assembly is composed of a first hoop body and a second hoop body which are assembled by bolts. The water storage and flow guide assembly is fixed on the second hoop body. The tree hoop assembly, the water storage and flow guide assembly and the rainwater collecting and water guiding assembly are arranged to collect rainwater on site, store and purify the rainwater in the water storage and flow guide assembly, fix the whole system, stabilize the positions of the components, quantitatively store water, control the speed of water delivery, and deliver the water to the deep drip irrigation of the roots of the forest tree. The whole system integrates rainwater collection, water filtration, water storage and adjustable drip irrigation, does not need to lay a large-area field pipe network, is suitable for scattered forest tree planting in mountains, can be used for self-irrigation by rainwater in rainy days and external water supplement in dry seasons, and has the advantages of water saving, efficiency improvement and reduced cost of irrigation pipe protection in mountains.

The utility model relates to the technical field of unmanned aerial vehicle fire fighting, in particular to an unmanned aerial vehicle for mountain forest fire extinguishing. Comprising an unmanned aerial vehicle body, the bottom of the unmanned aerial vehicle body is provided with a detachably-connected suspension release device, the suspension release device comprises a bearing support seat detachably connected with the bottom of the unmanned aerial vehicle body, the bearing support seat is provided with a plurality of releasers, a control device and a water storage barrel, and the releasers are provided with detachably-connected suspension ropes. One end of each hanging rope is connected with the water storage barrel, and the control device controls the hanging ropes on the two adjacent releasers to be released to automatically disengage, so that the water storage barrel is turned over and toppled over when the hanging ropes are subjected to downward force. Therefore, the control device can accurately control the release of the hanging rope hung on the hook of the releaser, the accurate putting of a water source of the water storage barrel can be realized, and the fire extinguishing effect is improved; meanwhile, personnel are prevented from directly entering a dangerous area, and personnel safety is guaranteed.

The invention relates to the technical field of emergency rescue communication, in particular to a comprehensive positioning and emergency communication method for mountain jungle disaster rescue. Comprising the following steps: deploying an individual beacon and signal emission; deploying an unmanned aerial vehicle aerial platform and scanning response; sAR-based high-precision three-dimensional positioning of a complex environment is realized; constructing a self-adaptive 5G and Mesh ad hoc network based on perception; unmanned aerial vehicle precise hovering and communication guarantee based on positioning information; large-range communication coverage is carried out through multi-machine cooperation; through the above mode, the purposes of overcoming a complex terrain environment, realizing accurate positioning of a fire-fighting individual soldier, rapidly establishing a large-range and high-reliability emergency communication link, and guiding the unmanned aerial vehicle to carry out accurate communication guarantee are achieved.

1. Name of the product in this design: Forest Fire Truck (All-Terrain). 2. Purpose of this design: This design is for use as a fire truck for extinguishing fires on the periphery of mountainous forests. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The application discloses a kind of steep mountain forest height retrieval method and device of fusion lifting track short wave InSAR data, to solve the problem of insufficient observation information when InSAR is retrieved, steep mountain slope decorrelation, including: obtaining lifting track short wave InSAR data and sparse LiDAR data and preprocessing;Utilize digital elevation model to calculate slope, and carry out topographic effect correction to effective vertical wave number;Determine the overlapping area of lifting track data, establish semi-empirical SINC model to retrieve forest height in non-overlapping area;For overlapping area, construct double baseline forest height retrieval model considering coherence phase and amplitude simultaneously, determine optimal model parameters with sparse LiDAR forest height as control, and retrieve forest height;Finally, mosaic forest height in overlapping area and non-overlapping area forms complete continuous product.The application realizes high-precision forest height retrieval in steep mountain by fusing lifting track InSAR data, with good stability and popularization value.

The invention relates to the technical field of plant culture equipment, and particularly discloses a mountain under-forest seedling raising device for planting polygonatum sibiricum and polygonatum odoratum, which comprises a pull ring, connecting rods are symmetrically and fixedly connected to the bottom surfaces of the two sides of the pull ring, a connecting ring is fixedly connected to the bottoms of the connecting rods, and the mountain under-forest seedling raising device further comprises a seedling raising mechanism fixedly mounted on the connecting ring; the reinforcing mechanism is fixedly mounted on the seedling raising mechanism. Through the arranged protection pipe, certain protection can be provided during growth and development of seedlings, the problem that the survival rate is not high due to the influence of external force in the growing period is solved, meanwhile, the equipment can be rapidly and conveniently inserted into soil through the conical bottom cover, and the problems that planting is slow and difficult due to the fact that too many dead leaves are stacked on the bottom face of traditional forest land are solved; the bottom cover is formed by pressing and drying the fertilizer, that is, the bottom cover can be slowly decomposed due to the humid effect of soil after planting is completed, nutrition is continuously provided for the seedling bodies, and the survival rate of the seedling bodies is further increased.

According to the firewood furnace chimney spark dust collection device, the spark dust separation net and the ignition dust guide plate are arranged in the firewood furnace chimney, the spark dust separation chimney main body dust outlet is formed, the spark dust storage bin is arranged, and therefore the purposes of separating spark dust and collecting and storing the spark dust are achieved; and people and property loss caused by scalding and burning and igniting the tent are avoided, the firewood stove is safe and trustful when being used in outdoor camping, and the risk of causing mountain forest fire is avoided. When the firewood stove is ignited and combusted, spark dust enters the chimney along with the chimney suction force of flame hot air flow, and the spark dust enters the top end of an ash outlet of the spark dust separation chimney main body and is collected in a negative pressure area formed after the air flow is guided by the ignition ash guide plate under the blocking and guiding of a large inclination angle of the spark dust separation net; and the spark dust falls into the spark dust storage bin to be collected and stored under the condition that the suction force in the negative pressure area is reduced.

The invention discloses a mountain fire risk assessment and holder monitoring method and system, a medium and a product, and relates to the field of mountain fire monitoring. According to the implementation of the method, firstly, a mountain fire monitoring system quantifies various risk factors (a historical fire factor, a weather influence factor, a vegetation flammable factor and a human activity factor), and calculates a fire probability index corresponding to each region of a mountain forest; meanwhile, the mountain fire monitoring system establishes a fire spreading model and evaluates fire influence indexes corresponding to all areas of the mountain forest; and finally, the forest fire monitoring system calculates a comprehensive risk value based on the fire probability index and the fire influence index, and then formulates a differentiated holder monitoring strategy. According to the differentiated monitoring scheme based on risk assessment, the problem of unreasonable distribution of monitoring resources caused by a traditional fixed time interval polling mode is avoided, it is ensured that a high-risk area is fully monitored and covered, waste of the monitoring resources in a low-risk area is avoided, and the accuracy and efficiency of mountain fire monitoring are remarkably improved.

The application provides a kind of polyphylla pratt seed seedling method, belongs to polyphylla pratt cultivation technical field.The polyphylla pratt seed seedling method of the application includes sand storage, potassium permanganate solution soaking, soaking liquid soaking germination, sowing and placing covering after sowing and the like multiple steps.Snow mountain forest extract, cow hair seven extract and gibberellin in the soaking liquid in the application can synergistically break seed dormancy and promote seed germination.The covering in the application is a mixture of fern, early grass and ground ivy, which has the functions of water permeability, air permeability and water retention, and the released nutrient substances can promote the growth of seedling root system and improve seedling quality.The polyphylla pratt seed seedling method of the application is conducive to the large-scale production of polyphylla pratt seed seedlings, and provides sufficient high-quality seedlings for the planting of polyphylla pratt.

The invention relates to the laser radar processing field, and provides a mountain forest ground photon extraction method comprising the following steps: obtaining original photon counting laser radar data, and carrying out denoising processing on the original photon data to obtain signal photon point cloud data; performing transverse partitioning on the signal photon point cloud data, rotating the signal photon to an approximate level, establishing an elevation frequency histogram, and performing fitting to obtain pseudo waveform data; ground wave crests are extracted from the pseudo waveform data, photons in the ground wave crests are extracted and reversely rotated, and first ground photons are obtained; constructing a search neighborhood for the first ground photons to obtain a photon characteristic value, a photon maximum density and a photon maximum density direction, and rejecting near-ground non-ground photons by using the characteristic value to obtain second ground photons; constructing spatial distribution characteristic parameters, and extracting ground photon seed points in a data window based on the spatial distribution characteristic parameters, the photon maximum density and the photon maximum density direction; and encrypting the ground photon seed points to obtain complete under-forest ground photons.

The utility model relates to the technical field of forest tree marking and punching, and discloses a portable punching device for forest tree marking, which comprises a shell, a sliding chute is arranged in the shell, a sliding column is connected in the sliding chute in a sliding manner, a connecting rod is fixedly connected to the sliding column, one end of the connecting rod is fixedly connected with a drill bit, and the other end of the connecting rod is fixedly connected with a connecting rod. The connecting rod is provided with a groove, the groove is rotatably connected with a sleeve, the sleeve is provided with a protruding block, in the folding storage mechanism, the drill bit can be retracted into the shell when not used and is fixed in the first threaded hole through the bolt, and therefore the connecting rod and the drill bit can be stably stored; the space occupied by the device is remarkably reduced, the device is more convenient to carry to complex terrains such as mountain forests for operation, the drill bit is contained in the shell, accidental damage to a user or other objects in the transportation or storage process of the drill bit is effectively prevented, the safety of the device is improved, and the service life of the device is prolonged.

The invention provides a plateau mountain forest type remote sensing classification method and system based on collaborative joint learning, and belongs to the field of forest type identification. The method comprises the following steps: firstly, determining a cartographic geographic area and collecting data; extracting N-dimensional self-supervision features after preprocessing multi-source remote sensing data, and cutting the N-dimensional self-supervision features into standard image blocks after registration; carrying out image block feature fusion to form a self-supervised image block with an N-dimensional space and a self-supervised image block set; constructing first to third self-supervision signals based on the self-integrity and internal relevance of the self-supervision image block set and plateau mountain priori knowledge, and respectively inputting three branches of the self-supervision model to obtain general feature representation; constructing a forest type remote sensing classification model, performing training based on forest type field survey data, and adjusting the general feature representation to a corresponding classification task; and finally, inputting the self-supervised blocks into a classification model to obtain a forest type distribution thematic map, and evaluating the drawing precision. According to the invention, the classification accuracy and precision of forest types are improved.

The invention discloses a mountain forest ecosystem multi-target operation condition evaluation and optimization method, which comprises the following steps: carrying out vegetation investigation and soil sampling on each sample plot, and respectively calculating ecosystem service indexes of each sample plot; classifying the sample plots according to forest ages, operation modes, vegetation types and environmental gradients; comparing the differences of various ecological system services under different forest ages, operation modes and vegetation types through statistical test, and analyzing the change trend and fitting relationship of various ecological system services along with the forest ages and environment gradients; calculating correlation coefficients between every two ecological system services, and analyzing changes of the correlation coefficients on different forest ages and different environment gradients; identifying key driving factors by using a machine learning method; and synthesizing the results to generate a multi-target operation strategy result. The problems that in the prior art, cognition of various ecological system services and complex relations thereof on the real mountain environment gradient is insufficient, and the operation strategy lacks quantitative basis are solved.

The invention relates to the technical field of forest resource monitoring and management, and discloses a forest stand structure optimization and complementary planting method fusing ULS and BLS point clouds, which improves the acquisition precision of complex mountain forest structure information by fusing the ULS and BLS point clouds. The continuity and reliability of forest window identification are improved through the processes of threshold screening, edge detection, smoothing and the like; quantification of the forest stand structure quality is realized by constructing a comprehensive evaluation index composed of five types of space structure parameters; and complementary planting optimization is carried out by introducing a genetic algorithm, so that the globality and effectiveness of scheme search are enhanced. The method provides an integrated technical framework for forest window operation and space structure optimization of the mountain natural forest, and has good application potential.

This invention relates to the field of forest fire emergency equipment technology, specifically disclosing an airdroppable mountain forest fire pumping drone to solve the technical problems of difficulty in utilizing limited water sources, difficulty in constructing water conveyance channels in mountainous forest fires, and high risks to rescue personnel. The drone includes a main body, an attitude adjustment mechanism, a floating platform, a water pump, and water pipeline components. The main body of the drone achieves airdrop descent via four sets of rotors; the floating platform is a lotus-shaped inverted truncated cone sealed structure for water landing buffering and stable floating; the attitude adjustment mechanism enables adaptive leveling of the fuselage. The water pipeline and power cable are designed in a single step and can be laid simultaneously by an aerial carrier aircraft. This invention integrates controllable descent, biomimetic floating, and attitude adjustment, and adopts a carrier-drone collaborative single-step pipeline laying mode, which can quickly construct a long-distance water supply channel from the water source to the fire site. It is suitable for complex mountainous terrain and can significantly improve fire fighting efficiency and operational safety.

The utility model relates to the technical field of information communication, and discloses an emergency communication device comprising a processor module; the wireless communication module is connected with the processor module through an SPI (Serial Peripheral Interface) bus; the transmitting module is electrically connected with the processor module through an I2C bus; the mediation module is electrically connected with the processor module through an I2C bus; and the display module is electrically connected with the processor module through an I2C bus. The emergency communication device solves the problems that in the prior art, signals of the emergency communication device are seriously influenced in mountain forests or severe weather, when a resident residence place is far away from an FM broadcast transmitting station, the signals are blocked easily, and when natural disasters occur, alarm signals cannot be received and cannot be avoided in time, so that the occurrence of the natural disasters is influenced. And serious personnel and property loss is caused.

The present application is a joint optimization method and system for mountain forest fire risk low-altitude monitoring network, the method comprising the steps of: S1, risk perception and task planning, obtaining multi-source geographic spatial data and meteorological data of the target forest area, evaluating the fire risk level of each sub-region based on the data, and setting different unmanned aerial vehicle inspection frequencies according to different risk levels; S2, infrastructure and operation joint optimization modeling, establishing a two-stage optimization decision model; S3, model solving and scheme output, using an optimization algorithm to solve the two-stage optimization decision model to obtain the optimal nest layout scheme, task area allocation scheme and corresponding unmanned aerial vehicle flight route plan. The present application significantly improves the long-term economy and robustness of the monitoring network, and realizes the normalization, precision and economic efficiency of the monitoring and early warning of mountain forest fire risk.

The utility model discloses a real-time monitoring device for a water surface environment. The method can be applied to water environment monitoring in mountain forests and lakes. The device comprises a floating ball mechanism, a mounting platform, a control mechanism, a first sensing mechanism, a second sensing mechanism, a photovoltaic mechanism and a mounting frame. The floating ball mechanism comprises an inflatable floating ball and a mounting ring; the mounting ring is detachably mounted at the upper end of the inflatable floating ball, and the mounting platform is detachably mounted on the upper end face of the mounting ring. The whole real-time monitoring device for the water surface environment can be detached and transported separately; the technical problem that mountain forests and lakes are hard to transport due to a dangerous road is effectively solved. Moreover, the device is simple in structure, low in manufacturing cost and suitable for monitoring the water environment in lakes in various mountain forest environments. In other implementation parties, the real-time monitoring device for the water surface environment can also be provided with a propelling system capable of driving the device to move; the propelling system can be driven by a motor to drive propellers to rotate to drive the device to advance.