45 results about "Forest steppe" patented technology

The invention discloses a livestock positioning and forest grassland fire prevention monitoring system based on LoRa technology, and belongs to the technical field of information. The system is composed of a positioning node, a monitoring node, receivers, an access gateway, a cloud data system and a mobile terminal, wherein both the positioning node and the monitoring node send data to the receivers through the LoRa link; the access gateway periodically queries the status of each receiver, isolates the failed receivers and reports the status information thereof, simultaneously enables backup receivers and connects the same to the system, and uploads the record to the cloud data system; and the mobile terminal acquires corresponding data from the cloud data system according to the user request, and displays the data through the screen. The invention has the advantages of low construction, operation and maintenance cost, high robustness and good human-computer interaction experience.

The invention discloses a refined forest fire danger assessment method fusing multi-source data. The method comprises the following steps: determining key influence factors causing forest fire danger; carrying out deep diagnosis analysis and clustering analysis on the key influence factors to obtain 12 types of forest fire danger influence factors; calculating the weight of each forest fire danger influence factor; determining a calculation principle according to the correlation between the forest fire danger influence factors so as to establish a refined forest risk assessment model, and determining an extraction forecast scale; and according to a preset forest steppe emergency plan, a preset forest fire danger grade forecasting and response work management method and a preset forest fire hazard grading response program, analyzing historical fire hazard data within a preset age limit through the refined forest risk assessment model so as to divide the risk grade of the refined forest fire danger. According to the method, the forecasting grade information is automatically published, the fire danger forecasting result meets the refined requirement, forecasting accuracy is achieved, and reference can be provided for forest fire prevention work.

The invention provides an explosion soil covering and carbon dioxide releasing combined dual fire extinguishing system and method. The system comprises an unmanned aerial vehicle group, a control platform, an RTK positioning module, a 5G communication module, a fire extinguishing bomb and a dispenser, wherein the RTK positioning module and the 5G communication module are carried in an unmanned aerial vehicle body, the dispenser is located below the unmanned aerial vehicle body and connected with a power source and the 5G communication module in the unmanned aerial vehicle body, and the fire extinguishing bomb is carried in the dispenser. Compared with the prior art, the system has the beneficial effects that the unmanned aerial vehicle group is controlled to hang the carbon dioxide fire extinguishing bomb when a fire disaster occurs in forests and grasslands, fire spreading and development are prevented and controlled by exploding covering soil and releasing carbon dioxide which can doubly isolate an oxidizing agent and combustible materials, so that the fire can be controlled. The method has the advantages of being efficient, safe, easy to implement and the like, the problem of secondary disasters caused by explosion fire extinguishing is avoided, a reliable scheme is provided for forest and grassland fire-fighting in China, and the purposes of reducing resource consumption and improving fire extinguishing efficiency are achieved.

The invention discloses a special flame retardant used for the fire prevention in forest steppe and a preparation method thereof, wherein the special flame retardant comprises materials according to weight distribution ratio of 10-20 of phosphoric acid, 5-10 of carbamide and 0.04-0.079 of catalyst, and the phosphoric acid and the carbamide are polymerized by the action of the catalyst under the normal atmosphere to prepare powder agent or liquor agent. The special flame retardant has simple device, rapid preparation, convenient use, favorable flame-retarding fire-prevention and emergency fire-extinguishing effects, stronger adhesiveness and penetrability and durable fire-prevention effect. The special flame retardant is pre-sprayed on a fire-prevention strip covered by plants, such as flammable or sear trees, bushes and grassland vegetation, which can prevent fire hazards from happening from the origin; and the special flame retardant can also be confected rapidly into spraying medicament as emergency fire-extinguishing agent or temporary treatment emergency fire-prevention strip. The invention has high stability, environment protection, no toxicity and wide comfort zone, is suitable for territorial environments of different air temperature conditions and has long storage period, wherein, the powder agent can be stored for more than six years and the liquor agent can be stored for more than three years.

The invention discloses a forest grassland fire prevention and extinguishing device and method. The forest grassland fire prevention and extinguishing device comprises a water conveying pipe network laid in a forest district, and a spray head structure arranged on the water conveying pipe network, wherein the forest district is divided into a plurality of areas by the water conveying pipe network; the spray head structure is used for carrying out spraying fire prevention and extinguishment on the areas and comprises a vertical rotating mechanism, a horizontal rotating mechanism arranged at the output end of the vertical rotating mechanism and a spray head assembly arranged at the output end of the horizontal rotating mechanism; the spray head assembly comprises a water cannon arranged at the output end of the horizontal rotating mechanism and a thermal imaging dual-spectrum camera arranged on the water cannon; the thermal imaging dual-spectrum camera is used for obtaining temperature data and video image data of a monitoring area; and the water cannon is communicated with the water conveying pipe network. The forest grassland fire prevention and extinguishing device and method solve the problems in the prior art that forest grassland fire prevention and extinguishing are difficult, manual fire prevention and extinguishing are needed, and certain danger exists.

The invention discloses an intelligent combined plane demonstration system with patters about geographic physiognomy and building form and structure, including the 2D or 3D humanistic landscape patterns, such as mountains, rivers and lakes, forests and plains, scenic spots and historic sites, roads and bridges, etc. on a base and its characteristic: it also includes a frame system, a light-emitting system, a light- and temperature- control system, a water circulating system, a weather forecasting system, a voice system and an intelligent control system connected with these systems and including a computer.

The invention discloses a forest steppe fire danger weather grade evaluation method based on dominant factor evaluation. Precipitation and wind speed are taken as dominant factors, then temperature and humidity are fused into a comprehensive index temperature and humidity as a basic factor, and finally, the moisture content of dead combustible materials on the surface of the forest steppe is taken as a qualitative grade for comprehensive evaluation, wherein there are five grades in total. The method not only considers the contribution of single factors such as atmospheric temperature, atmospheric humidity, rainfall, wind speed and moisture content of dead combustible matters on the fire danger grade of the forest steppe, but also considers the mutual contribution of the influence between every two factors and among multiple factors to the fire danger grade of the forest steppe. According to the method, a new index scoring standard is constructed, score values of all indexes in different seasons are given, a calculation formula for the fire danger weather index value (HTZ) of the forest steppe is given, and a calculation result is unified with the current standard.

The invention provides a forest grassland fire early warning system and method based on a PNN neural network, and belongs to the technical field of artificial intelligence early warning. The system comprises an early warning management platform and a plurality of detection devices which are in communication connection with the early warning management platform. Each detection device comprises a detection module, a wireless communication module and a microprocessor. Each detection module comprises a plurality of detection sensors. Each microprocessor is used for controlling the wireless communication module to send the information detected by the detection module to the early warning management platform, and is also used for analyzing the information detected by the detection module by using the fire early warning model based on a PNN neural network to obtain fire early warning information including a fire early warning level. The early warning management platform is used for carrying out early warning according to the fire early warning information determined by the detection devices. According to the invention, the artificial intelligence neural network is adopted to carry out intelligent analysis on various detection information, the early warning accuracy can be improved, and the fire early warning level matched with the current fire behavior is obtained, so that the early warning processing is more suitable.

The invention relates to the technical field of fire prevention and control, and discloses a forest steppe fire risk prediction decision-making method and device and computer equipment, and the method comprises the steps: carrying out the fusion of ground feature reflection spectrum data of a forest steppe region, ground climate data, geological exploration data and other multi-source heterogeneous data; inversing the temperature vegetation drought index and the vegetation analysis current condition by using an inversion technology, and estimating a future time sequence of a temperature vegetation drought index forecast value based on a temperature vegetation drought index forecast model obtained by modeling; secondly, predicting the future risk degree of the forest steppe region by using the future time sequence of the temperature vegetation drought index forecast value, the water source distance and the vegetation flammability characteristics, analyzing the current vulnerability of the forest steppe region by using the forest ecological asset value and the population density, and finally, determining the temperature of the forest steppe region on the basis of the future risk degree and the current vulnerability. And determining forest and steppe fire risk forecasting decisions in each future time so as to provide accurate deployment decision suggestions for forest and steppe fire prevention.

The invention provides a connection type temperature control cell coating inhibition ball for forest and grassland fire prevention and a use method, and is suitable for forest or grassland fire prevention and extinguishment. The connection type temperature control cell coating inhibition ball comprises flame-retardant pellets and aramid fibers, each flame-retardant pellet is composed of a coating shell and an internal inhibition liquid, the coating shell comprises a phase-change material and a reinforcement material, the phase-change material and the reinforcement material can be converted into a liquid state from a solid state within a certain temperature range after being melted, mixed and formed, the inhibition liquid sealed in the interior is released, and the inhibition liquid is generally a 20% calcium chloride solution. The aramid fibers are high-temperature-resistant, high-strength, superfine and flexible special fibers. According to a device, the flame-retardant pellets and the aramid fibers are combined, the rolling area of the flame-retardant pellets is purposefully limited through the traction effect of the aramid fibers, the inhibition balls are more concentrated in the throwing process, the influence of the throwing terrain on the effect of the flame-retardant pellets is reduced, and therefore the utilization rate of the inhibition balls is increased, and the flame-retardant effect is more efficiently achieved.

The invention provides an artificial intelligence thunder and lightning detection system and method for forest steppe fire early warning, and belongs to the technical field of fire early warning. The system comprises a plurality of thunder and lightning detection devices and an upper computer; the lightning detection device comprises a ground electric field detection module, a light detection module, a very low frequency and low frequency electromagnetic wave detection module, a thunder detection module and a processor. The processor is used for determining whether cloud-to-ground lightning occurs or not according to the sound signals detected by the thunder detection module and preprocessed, and if the cloud-to-ground lightning is determined, inputting the preprocessed signals detected by each detection module and the corresponding timestamps to a first deep learning module for lightning positioning to determine the distance between the cloud-to-ground lightning position and the lightning detection device; the upper computer is used for determining the ground position related to cloud-to-ground lightning according to the distance, and the ground position is used for determining a fire early warning area. The method can accurately position the position of a fire possibly caused by thunder and lightning, and reduces the fire prevention and control cost of forest or grassland areas.

The invention discloses a fire extinguishing unmanned aerial vehicle for forests and grasslands, and relates to the technical field of unmanned aerial vehicles. The fire extinguishing unmanned aerial vehicle comprises a shell, a power box, a control box, a water storage tank and an intelligent control system, an upper vehicle arm and a lower vehicle arm are movably arranged in a connecting block, a power assembly is arranged in the power box, a spraying assembly is arranged in the water storage tank, the power assembly comprises a first motor, a first rotating shaft, a first bearing, a main gear, a lead screw and an auxiliary gear, and the spraying assembly comprises a spraying pipe, an electromagnetic valve, a rotating disc, a fixing ring, a pulley and a connecting rod. According to the fire extinguishing unmanned aerial vehicle for forests and grasslands, provided power is adjusted to drive the unmanned aerial vehicle to fly normally, it can be guaranteed that the unmanned aerial vehicle has enough power to support load-carrying flight, use of the unmanned aerial vehicle is facilitated, normal forest fire extinguishing is guaranteed, water flow is scattered and sprayed out, the spraying range of a fire extinguishing agent is widened, the coverage area is increased, according to the size of forest fire, the opening size of the electromagnetic valve is intelligently controlled, and accurate fire extinguishing is achieved.

The invention relates to the technical field of power grid disaster protection, and discloses a method for predicting a forest grassland fire caused by a power grid dense transmission channel line, soas to perform key defense for high-risk time periods and regions according to a prediction result and prevent forest grassland fire accidents caused by the power grid dense transmission channel line.The method comprises the following steps: dividing dense power transmission channels of a power grid into rectangular grids with the same size; acquiring a vegetation type risk value of a position corresponding to each grid, calculating a thunderstorm weather risk value of each grid according to the Sandstorm index of the predicted time of each grid, and calculating a strong wind weather risk value of each grid according to the wind speed of the predicted time of each grid; and according to the vegetation type risk value, the thunderstorm weather risk value and the strong wind weather risk value, comprehensively predicting the risk level of forest grassland fire caused by the line of each grid.

The invention belongs to the technical field of forest/grassland fire rescue devices, and especially relates to a forest fire extinguishing bomb rotorcraft device. The device comprises a rotorcraft. Arelease assembly and a photoelectric pod are fixedly installed at the bottom of the rotorcraft. A forest fire extinguishing bomb is clamped and fixedly clamped on the release assembly. The release assembly comprises a lower bottom plate, a front open groove, four supporting legs, a front lever, a gear, a rear lever, a rear open groove, a driving assembly and an upper bottom plate. Two symmetrically-arranged side plates are fixedly installed on the sides, close to each other, of the lower bottom plate and the upper bottom plate, and the front open groove and the rear open groove are both formed in the lower bottom plate. According to the technical scheme, a thinking of using the rotorcraft which is flexible and can vertically take off and land and is not limited by sites and terrains to perform forest fire fighting auxiliary rescue, the defects of existing forest fire-fighting equipment are overcome, the forest fire extinguishing bomb can explode over the ground by -meter, fire extinguishing powder can be scattered, and the purpose of effectively controlling forest fire is achieved.

The invention discloses a combined design method for urban landscape construction. According to the method, urban construction area units are subjected to overall combined design and artistic decoration, and the overall combined design and artistic decoration decorate the urban construction area units into a giant picture scroll landscape. According to the regional environment, urban road landscape planning, urban landscape planning and construction, the combination of architectural shapes and practical functions, the giant picture scroll landscape is rationally designed into natural landscapes, forests and grasslands, garden landscapes, artistic paintings and cartoon patterns. In a design process, a design scheme for improving the safety of urban roads is further added, and after design,evaluating is carried out by using an urban comprehensive regional place attachment evaluation method. The combined design method performs multi-level perception on urban road landscape, so that the perception of urban road landscape is more accurate. Through the planning and design, the urban construction area units form into a beautiful artistic picture scroll which is like a three-dimensional natural landscape, and a relaxed, happy and beautiful enjoyment is brought to people.

The invention provides an adaptive exposure processing system and method for a camera of a forest and grassland patrol unmanned aerial vehicle, and belongs to the technical field of artificial intelligence image acquisition. The method comprises the steps of acquiring a first image acquired by using a first initial exposure parameter and a second image acquired by using a second initial exposure parameter by the camera of the forest and grassland patrol unmanned aerial vehicle; obtaining first data serving as an exposure parameter adjustment basis according to the first image, and obtaining second data serving as the exposure parameter adjustment basis according to the second image; inputting the first initial exposure parameter, the first data corresponding to the first initial exposure parameter, the second initial exposure parameter and the second data corresponding to the second initial exposure parameter into an artificial intelligence model; and adjusting exposure parameters during image acquisition according to ideal exposure parameters output by the artificial intelligence model. According to the invention, intelligent adaptive adjustment is carried out on the camera exposure parameters by using artificial intelligence, so that an image with ideal exposure can be shot, and the accuracy of fire early warning based on the image is improved.

The invention relates to a mud forest steppe fire preventing and fire extinguishing turtle-shaped electric mud throwing vehicle. The vehicle is composed of rail crawling wheels, a chassis frame, a turtle-shaped mud box, shovel-shaped mud throwing fins and the like. At ordinary times, 4-6 turtle-shaped electric mud throwing vehicles fully loaded with mud are parked beside a mud forest steppe fire preventing and fire extinguishing mud making, storing and adding warehouse or patrol in areas under administration, once the fire behavior is found, the turtle-shaped electric mud throwing vehicles immediately run to the surrounding of the fire ground, mud outlets are opened, switches are turned on, motors are started and used for driving the shovel-shaped mud throwing fins, mud is thrown towards the left high altitude and the right high altitude and wets and seals trunks and leaves, and mud coats are put on the trunks and the leaves. The mud falls onto the ground, and the grass clusters are covered with the mud quilts. An isolation belt is formed, open fire cannot be ignited, and the fire behavior cannot spread. Then, the mud is thrown towards the fire ground, flames are pressed, fire roots are sealed, kindling is extinguished, and extinguished fire cannot be combusted again. Steppe fire extinguishing is relatively easy, and isolation and fire fighting can be conducted at the same time. Since a cab, a battery and the motors are arranged in the turtle-shaped mud box, once the open fire is approached, the safety of personnel and machines can be ensured. Vehicle running is convenient,early and weak extinguishing is achieved, losses are small, safety is achieved, and pollution is avoided.

The invention discloses a laser radar device and a smoke and fire monitoring system and method. The method comprises the steps that a laser device transmits a laser beam used for scanning; after an optical transmitting device performs beam expansion and collimation on the laser beam, an optical signal is generated and sent out; the optical signal generates echo signals after entering the atmosphere; an optical receiving device converges the echo signals and sends the echo signals to the detector; the detector receives the echo signals and converts the echo signals into electronic signals, andthen the electronic signals are output; a collection module receives the electronic signals output by the detector; and the electronic signals are converted into digital values in an image recognitionmode or a signal processing mode, and the digital values are recorded. Through the method, accurate measurement of smoke can be realized, and segment-by-segment information of smoke concentration distribution in a whole detection path can be effectively obtained; the method has the advantages of being round-the-clock and without the need for manual attendance and can be used for monitoring a forest, a prairie and other environments in real time; and in case of a fire, the fire can be displayed at first time, and firefighters can be reminded of fire extinguishment, so that a huge loss is avoided.

The invention discloses an artificial intelligence open fire detection system and method for forest steppe fire early warning, and relates to the technical field of forest steppe fire prevention, the artificial intelligence open fire detection system comprises a detection device and a control system for controlling the detection device, the detection device comprises a fixed monitoring mechanism and a mobile monitoring mechanism, the fixed monitoring mechanism comprises a fixed shell and a fixed monitoring module arranged in the fixed shell, the mobile monitoring mechanism comprises an unmanned aerial vehicle, a mobile shell arranged at the lower part of the unmanned aerial vehicle and a camera arranged at the lower part of the mobile shell, and a mobile monitoring module is arranged in the mobile shell; and the control system comprises a fixed monitoring module, a mobile monitoring module and a ground control module. The system and the method have the advantages of short early warning feedback time, artificial intelligence judgment, high accuracy, high rate and small error.