836 results about "Wind run" patented technology

The invention discloses a physical prediction method for wind power station power based on a computational fluid mechanics model. The physical prediction method comprises the following steps: establishing a computational fluid mechanics model; performing discretization on wind conditions of a wind power station, and taking the discretized wind as boundary conditions for conditions numerical simulation of the computational fluid to obtain space flow filed distribution of the wind power station at the discretized wind conditions; establishing data base of hub height, wind speed, wind direction and generated power of wind generation sets under the discretized wind conditions; and taking numerical weather prediction parameters as input data, and utilizing the data base to figure out the wind speeds and the wind directions of the wind generation sets so as to figure out the generated powers of the wind generation sets, and accordingly obtain predicted value of the wind power station power. According to the invention, the physical prediction method is applicable to multiple wind power stations, has small calculated amount in the power prediction stage and has short calculation time.

A GNSS system in combination with a hydraulically-actuated, airborne dispenser for a dry material crop dusting system to optimize the distribution of dry materials over a particular tract of land. A GNSS subsystem is included using at least one GNSS antenna and one GNSS receiver located on the aircraft. The aircraft is equipped with an electronic / hydraulic crop dusting subsystem connected to a GNSS CPU. The GNSS ranging signals received by the antennas are processed by a receiver and processor system for determining the vehicle's position and dynamic attitude in three dimensions (3D). A graphical user interface (GUI) placed in the vehicle will give the driver a real-time view of his or her current bearing as well as a calculated “optimal path” based on calculations and variable data, such as wind speed and direction, material moisture content, altitude, air speed and other conditions. The system is adapted for operation in a differential GNSS (DGNSS) mode utilizing a base station at a fixed location.

A system for obtaining emission flux of a gas plume, emanating from a source, includes an airborne differential absorption lidar (DIAL) system for determining multiple concentration path length (CPL) values along a flight path; and an airborne wind measuring system (WMS) for determining a wind vector at the aircraft altitude. Also included is a processor for receiving the multiple CPL values determined by the DIAL system and the wind vector determined by the WMS. The processor uses the CPL values to compute either (a) an area-integrated concentration (AIC) value or (b) an average concentration value over a cross-plume extent, defined along the length dimension of the flight path. The processor also scales the wind vector to the near ground altitude level of the gas plume to obtain a scaled wind vector. The emission flux is obtained by multiplying either the AIC value or the average concentration value with a component of the scaled wind vector. The component of the scaled wind vector is defined by a vector perpendicular to the length dimension of the flight path.

The invention discloses a short-time wind speed forecasting method based on a neural network. The method comprises the following steps of: (1) recording the moving average observing values of the wind speed, wind direction, temperature and air pressure on the same district once at the interval of 10 minutes, and ordering the observed data in a time sequence from front to back to obtain original wind speed data; (2) calculating the data of the adjacent time according to the time sequence, and generating an original wind speed added value sequence; (3) entering the original airspeed added value into a BP artificial neural network to construct a wind speed added value neural network model, calculating and counting an original wind speed added value tendency by utilizing the BP artificial neural network, training a RP artificial neural network by respectively utilizing the original wind speed added value and the original wind speed added value tendency as the original data, and obtaining a wind speed added value predicting value and a wind speed added value error tendency; (4) adding the wind speed added value predicting value into statistical noise to reduce and generate a wind speed predicting value; (5) carrying out moving filtering on the wind speed predicting value; and (6) obtaining the wind speed predicting value 4 hours in advance.

The invention discloses an online monitoring method for temperature rise of an outdoor electrical device, which utilizes the following various parameter measuring instruments: a thermodetector used for measuring the surface temperature of a device, an environment wind power and wind direction sensor, a temperature and humidity sensor, a sunlight intensity sensor, a load parameter collector and other detection devices, and calculator processing unit. A multiple linear regression equation empirical model for predicting the temperature rise of the device is established by a measurement system according to the multiple linear regression principle, main factors which affect the temperature rise greatly are brought into a temperature rise predicting regression model according to experiences, wherein factors with nonlinearity are processed in advance, so that the temperature rise can be predicted accurately. According to the online monitoring method, the full-automatic online monitoring and fault diagnosis and prediction can be realized, the work efficiency and the monitoring capability are improved, and particularly, the monitoring quality is improved.

The invention discloses a power transmission line wind tunnel test system and method applied to a typhoon field. The typhoon field is used as a test wind field. The test system consists of a test tower made according to a discrete stiffness method, two tangent towers serving as far-end supports, two strain towers, six four-span four-bundle conductors, two four-span ground wires and 18 insulator chains. The test is carried out respectively at three wind angles of 90 degrees, 75 degrees and 60 degrees. Through an aeroelastic model multi-angle wind tunnel test, the displacement and the acceleration response of the test tower under the conditions of different wind speeds and different wind angles in the typhoon field can be tested, the gust response coefficient of a concerned part can be calculated, and the characteristics of wind-induced response of the power transmission line in the typhoon field are analyzed through comparison with those in a well-conditioned wind field.

The invention discloses an expressway weather monitoring system, relating to the technical field of traffic safety facilities. The expressway weather monitoring system comprises weather monitoring point devices arranged at each road section and district of the expressway, and control terminals arranged at the entrances of the expressway, wherein the weather monitoring point device comprises a main microprocessor, an environment temperature measurement module, a wind direction transducer module, an ice transducer module, a visibility measurement module, a CAN (Controller Area Network) bus transmission and receiving driver, an earth surface temperature measurement module, a clock chip, a GSM (Global System for Mobile Communications) / GPRS (General Packet Radio Service) remote communication module, a wind speed transducer module, an RS 232 communication interface circuit and a CAN bus; and the control terminal comprises a GSM / GPRS remote communication module, a monitoring display module and a PC work station. The invention has the advantages of reliable work, high cost performance and long service life, and is suitable for the application occasion of expressway with complicated environmental conditions.

The invention provides a gallop warning method and system based on an electric transmission line of an electrical power system. The method comprises the steps of collecting meteorological element data on the electric transmission line of the electrical power system in real time, wherein the meteorological element data comprise temperature, moisture, air pressure, precipitation, wind speed and wind direction; acquiring weather forecast data, corresponding to a warning area, released by a professional meteorological department; acquiring topographic feature data corresponding to the warning area; generating gallop warning information of the warning area according to the meteorological element data, the weather forecast data and the topographic feature data. According to the gallop warning method and system based on the electric transmission line of the electrical power system, warning is achieved before the gallop phenomenon occurs by collecting the meteorological element data, gallop amplitude and wire tension change of the electric transmission line of the electrical power system and then outputting gallop warning information and a corresponding gallop grade according to preset gallop triggering conditions and a preset gallop grade threshold, and then contingency plans and measures can be taken in advance.

The embodiment of the invention provides an atmospheric pollution gridding monitoring method based on a stationary satellite and a polar orbit satellite. The method comprises the following steps: establishing a six-element heavy pollution high-incidence index model by utilizing annual average concentrations of PM2.5, PM10, SO2, NO2, O3, HCHO and the like monitored by a polar orbit satellite, determining an atmospheric pollution key attention grid, and mastering the monthly air quality improvement condition of the key attention grid macroscopically through monthly periodic evaluation; subdividing an important attention grid into 1-kilometer refined supervision grids, carrying out PM2.5 and PM10 concentration continuous monitoring for 6 hours in the daytime by using a stationary satellite, carrying out six-element concentration monitoring every day by using a polar orbit satellite, evaluating a conventional monitoring sample, and discovering monitoring abnormity on the basis of the six-element concentration monitoring; in combination with meteorological conditions such as wind speed, wind direction and the like and the latest sub-meter high-resolution images, screening abnormal areasto provide , pollution clues for law enforcement officers so that atmospheric pollution satellite remote sensing gridding dynamic monitoring service is realized.

The invention discloses an ultrasonic three-dimensional wind measuring method and a three-dimensional ultrasonic anemometer. An ultrasonic three-dimensional wind measurement method, respectively setting three pairs of ultrasonic probes, that is, a first pair of horizontal probes and a second pair of horizontal probes parallel to the horizontal plane, and a pair of vertical probes perpendicular to the horizontal plane; The probe receives the propagation time of the ultrasonic waves sent by the other party; according to the measured propagation time and the distance between the two probes facing each other in three pairs, the three-dimensional wind speed and direction of the natural wind can be obtained. The invention can accurately calculate the three-dimensional wind speed and direction, has no moving mechanical parts, and has a heating device, does not require frequent maintenance, and is applicable to all-weather wind speed and wind direction measurement under severe environmental conditions.

The invention relates to the technical field of wind power generation yaw, in particular to a draught fan foreseeable yaw control system based on imminent prediction. The system comprises an anemorumbometer, a prediction module, a yaw counter, a master controller, a yaw frequency converter and a yaw encoder. The anemorumbometer and the prediction module are in signal connection with the master controller. The output end of the master controller is connected with the yaw control frequency converter, a yaw motor and a wind driven generator in sequence. The output end of the yaw motor is in signal connection with the master controller through the yaw counter. The wind driven generator is in signal connection with the master controller through a yaw decoder. According to the draught fan foreseeable yaw control system based on imminent prediction, the active type intelligent yaw system is achieved based on a wind speed and direction ultra-short-term prediction model; analogue control can be achieved and the problem that generated energy is affected due to shutdown is avoided even on the condition that anemorumbometer is damaged.

The invention discloses a two-dimensional solid wind speed and direction measuring instrument and a measuring method thereof. The two-dimensional solid wind speed and direction measuring instrument comprises a weather cylinder, pressure pipes and sensors, wherein small holes in the even number are distributed in the cylindrical surface of the weather cylinder; one end of each pressure pipe is communicated with the small holes in the cylindrical surface of the weather cylinder, and the other end of the pressure pipe is communicated with the sensors; and the sensors are used for measuring the pressure-intensity difference between two small holes, whose horizontal distance equals the diameter of the weather cylinder, in the cylindrical surface of the weather cylinder. The measuring method comprises that the measuring instrument is fixed, and the orientation of the measuring instrument is determined; when wind in the horizontal direction acts on the instrument, the pressure-intensity difference between each two points, whose horizontal distance equals the diameter of the weather cylinder, in the cylindrical surface of the weather cylinder of the measuring instrument is measured; according to the relations between wind pressure distribution and wind speed / direction, the wind speed and the wind direction relative to the weather cylinder are calculated via the obtained pressure-intensity differences; and according to the determined orientation of the measuring instrument, the practical wind direction is calculated. Compared with a common wind speed and direction indicator, the two-dimensional solid wind speed and direction measuring instrument disclosed by the invention has the advantages of being small in size, fast in response, and not easy to damage.

The invention relates to the electronic field of meteorology, in particular to portable ground meteorology automatic viewing integral equipment which is suitable for conveniently carrying in the wild for a single person and has the function of obtaining five meteorologic elements such as a ground air temperature, atmospheric pressure, humidity, a wind direction and a wind speed. The equipment comprises an integrated meteorologic sensor, an upright rod, a collection and communication box, a box body and a hand-holding terminal, wherein one end of the upright rod is connected with the box body, the integrated meteorologic sensor is connected with the other end of the upright rod, and the integrated meteorologic sensor is sequentially connected with the collection and communication box as well as the hand-holding terminal. According to the equipment, the integrated detection of the five meteorologic elements is realized, the size of the integral sensor is small, the power supplying mode is diversified, the power supplying time is long, the equipment can be carried on the back of the single person to work for a long time, and the operation is simple and convenient. The meteorologic information can be locally displayed by utilizing the hand-holding terminal and can be displayed and stored via transmitting to a meteorologic central station through the communication mode of a Big Dipper satellite or the communication modes of CDMA (code division multiple access) and shortwave.

The invention relates to a meteorology apparatus instrument and especially discloses an ultrasonic wave wind speed anemoscope and a corresponding multiple meteorology parameter measuring instrument. The wind speed anemoscope comprises four ultrasonic sensors which are arranged on a same horizontal plane. The four ultrasonic sensors are controlled by a single chip microcomputer operation control circuit to send or receive an ultrasonic wave. Time between the ultrasonic wave sending and the ultrasonic wave receiving can be recorded so that an actual wind speed and a wind direction can be calculated. Wind cup wearing caused by long-time mechanical rotation can be avoided so that a service life can be prolonged. The multiple meteorology parameter measuring instrument integrates a plurality of function modules, such as the wind speed anemoscope, a temperature sensor, a humidity sensor and a pressure sensor, through the single chip microcomputer operation control circuit so that the overall structure of the instrument is concise and compact. Therefore, installation and usage are more convenient. A plurality of mechanical movement parts in a traditional measuring system are not needed. Stability and reliability of the instrument can be improved.

The invention discloses a wind field power predication method based on a deep neural network in the technical field of power system prediction and control. The method includes the steps that firstly, data of the wind speed, the wind direction, the temperature, the humidity and the atmospheric pressure which are actually measured are obtained; secondly, the projection pursuit is adopted for extracting main constituents, the neutral-position absolute deviation serves as a projection index in the projection pursuit, the interference of outliers irrelevant or little relevant to data structures and features can be effectively removed, and the main constituents can be extracted stably. A deep neural network model is adopted, and a predication model between five influence factors and the output power of a wind field is established, wherein the five influence factors include the wind speed, the wind direction, the humidity, the temperature and the atmospheric pressure. The power of the wind field is predicated, and the predicated power is obtained. According to the wind field power predication method, the precision of predicated power in future 72 hours of the wind electric field is improved, a basis is provided for reasonable dispatching of power grids, and the grid connection pressure is relieved.

The invention discloses a wind power climbing event probability prediction method and system based on a Bayesian network, and the method comprises the steps: mining the dependency relationship betweena wind power climbing event and related meteorological influence factors such as wind speed, wind direction, temperature, air pressure, humidity, and the like, and building a Bayesian network topological structure with the highest fitting degree with sample data; quantitatively describing a conditional dependency relationship between the climbing event and each meteorological factor, estimating the value of each conditional probability in a conditional probability table at each node of the Bayesian network, and forming a Bayesian network model for predicting the wind power climbing event together with a Bayesian network topological structure; deducing the probability of occurrence of each state of the climbing event according to the numerical weather forecast information of the mastered prediction time; the value of the corresponding conditional probability at each node is adaptively adjusted, so that the inferred conditional probability result of each state of the climbing event is optimized, and the compromise between the reliability and the sensitivity of the prediction result is realized.

The invention relates to a photovoltaic generation intelligent adaptive tracking control method. The method comprises the following steps that: a photovoltaic generation intelligent adaptive tracking control system is constructed; multiple sets of radiation intensity values in rainy and snowy weather and light intensity fluctuation values in cloudy weather are selected as well as mean values of the radiation intensity values and the light intensity fluctuation values are calculated; the weather situation is divided into three kinds: sunny weather, cloudy weather, and snowy and rainy weather; a visible tracking method and a photovoltaic tracking method are used to respectively determine theoretical positions of the sun and tracking angles; the two tracking angels are distributed to carry out weighting to obtain weighting coefficients as well as a weighting tracking angle is calculated; an environment monitoring module is used to collect information of environmental temperatures, wind power and wind directions and classification is carried out; a correction angle is selected and is added to the weighting tracking angle, so that a drive angle is obtained; and a photovoltaic cell is driven to make rotation. Besides, the invention also relates to a photovoltaic generation intelligent adaptive tracking control system comprising a weather monitoring module, a fuzzy integration evaluation tracking monitoring sun orientation module, an environment monitoring module, an intelligent adaptive tracking control module, and a motor drive control module. According to the invention, advantages of precise monitoring, less power consumption, high power generation efficiency and long service life of a driving mechanism are realized.

The invention discloses a three-dimensional forest fire spreading simulation method and system. The method comprises steps of S1, three-dimensional landform factor generation; S2, three-dimensional wind field stimulation, on the basis of the data of a digital elevation model, wind speed and wind direction simulation is carried out, and the wind field data of a three-dimensional landform is acquired; S3, temperature field and humidity field stimulation, on the basis of the discrete temperature, humidity and digital elevation model data, interpolation processing is carried out; S4, combustible coefficient division, three-dimensional combustible coefficient data distribution is generated on the basis of the forest type distribution data; S5, three-dimensional fire field spreading simulation, a three-dimensional fire field spreading model is generated on the basis of a three-dimensional gradient, a slope direction, a wind speed, a wind direction, temperature, humidity and a combustible coefficient factor; and S6, three-dimensional fire field spreading information acquisition. The method is advantaged in that the method is applicable to forest fire spreading simulation, and a more precise simulation result can be acquired.

In order to overcome the defects of the traditional atmosphere quality monitoring and assessment method, the invention provides an isoconcentration line method for atmosphere monitoring, prediction and assessment. In the method, testing times are determined according to the speed of concentration gradient change of pollutant, the spatial distribution of pollution is described by drawing an isoconcentration line, and the degree of pollution of a designated area can be calculated according to an isoconcentration line diagram. In the method, the isoconcentration curve of pollution is drawn according to the detected grid data and a topographic map contour method and an approximate pollution model is established according to the isoconcentration curve and the concentration-changed gradient. The atmosphere pollution degree of the designated area can be predicted and assessed according to the approximate pollution model, the wind direction and the like. For the meshing, detecting requirements, model description and the like of atmosphere detection, the relatively mature topographic map contour technology can be referred. The method can be convenient to predict and assess atmosphere according to the isoconcentration curve.

The invention discloses a metal dust pollution on-line monitoring device for an insulator. The metal dust pollution on-line monitoring device for an insulator comprises a state monitoring device, a wind speed and wind direction sensor, a rainfall sensor and a temperature and humidity sensor, wherein the wind speed and wind direction sensor, the rainfall sensor and the temperature and humidity sensor are connected with the state monitoring device; the state monitoring device includes a microcontroller, a data storage unit and a dust concentration sensor; the data storage unit and the dust concentration sensor are connected with the microcontroller; the state monitoring device is also connected with a system power supply and a GPRS / 3G communication module; the GPRS / 3G communication module is connected with a background monitoring center and the system power supply; and the wind speed and wind direction sensor, the rainfall sensor and the temperature and humidity sensor are connected with the microcontroller. The metal dust pollution on-line monitoring device for an insulator solves the problems that a leakage current method in the prior art is easily interfered by electromagnetism so that misdeclaration and declaration failure is easy to occur, or a fiber salt deposit density monitoring method cannot reflect the accumulated degree of metal dust for the special environment of steel works, and cannot accurately monitor the pollution degree of an insulator of the steel works. The invention discloses a monitoring method by using the metal dust pollution on-line monitoring device for an insulator.

The invention discloses a solar energy and wind energy generation combined device. Wind energy or electric energy is used as power, a disc condenser generation device or a photovoltaic cell panel generation device on a vertical rod for road lighting is moved towards the east in the morning, and starting from the zero-degree position in the east in the clockwise direction, the disc condenser generation device or the photovoltaic cell panel generation device is simultaneously moved horizontally and ascends according to the track of the sun along with the rule of time; when reaching the ninety-degree position in the south at the noon, the disc condenser generation device or the photovoltaic cell panel generation device is simultaneously moved horizontally and starts to descend along with the rule of time; when reaching the position of one hundred and eighty degrees in the west in the afternoon, the disc condenser generation device or the photovoltaic cell panel generation device stops descending and continues to be moved horizontally along with the rule of time; when moved horizontally to the position of three hundred and sixty degrees in the east, the disc condenser generation device or the photovoltaic cell panel generation device starts to be simultaneously moved horizontally and ascends clockwise, and the disc condenser generation device or the photovoltaic cell panel generation device circulates according to the rule by a cycle per day or returns to the zero-degree position in the morning from the position of the one hundred and eighty degrees to start circulation. The invention discloses a vertical shaft windmill. According to the windmill on the vertical rod for road lighting, the direction of a guide plate is controlled through a weather cock empennage, the guide plate rotates along with changes of the wind direction, wind guided by the guide plate is tangent to blades of a wind wheel, and the guide plate controlled by a weather cock serves as an overload protection device during the storm wind.

The invention provides a mobile robot controlling and managing system for monitoring various environment information in a hazardous chemical leakage accident site. The mobile robot controlling and managing system comprises an accident monitoring and controlling system and an accident monitoring and managing system, wherein the accident monitoring and controlling system mainly receives monitoring information obtained by a wind speed and wind direction sensor, a temperature / humidity sensor, an industrial grade GPS portion, a compound gas detector and a network high-definition explosion-proof infrared camera, exchanges meteorological / gas density and video information with a wireless reception portion and a remote management portion through a wireless emission portion, and controls the movement of the mobile robot. The accident monitoring and managing system analyzes and processes accident site environment information. Rescue workers determine rescue scheme according to the environment information detected on the hazardous chemical leakage accident site.

The invention discloses a method for automatically correcting and controlling yaw of a wind driven generator set. According to a yaw basic principle of the wind driven generator set, a fan corresponds to a power peak value of a generator when the fan is over against wind and under the condition of the same wind speed; and under an ideal state, namely an error does not exist in an anemoscope, the power peak value should appear at a zero point or a position near the zero point. A measuring result of the anemoscope is deviated when a yaw angle corresponding to the power peak value of the generator is not zero, and the data results acquired in an actual fan set are a large amount of scattered points, statistic analysis is conducted according to the data points, processing is further conducted, the yaw angle value corresponding to the power peak value at the moment is calculated, the deviation value is converted into the offset dimension of the yaw angle, correction is conducted in a program, and anemoscope correction processing can be finished on software, so that the fan can yaw continuously and correctly. The method provided by the invention is simplified, easy to process and small in calculation quantity, and offset dimension data with high precision can be acquired.

Embodiments of the invention provide a wind power field gust prediction method and system. The method comprises the following steps: 1) monitoring gust information of wind measurement nodes located at the periphery of a wind power field; 2) marking the wind measurement node, which firstly monitors gust, as a current wind measurement node, projecting the current wind measurement node and various wind power machine sets on a wind direction of the gust, obtaining projection distances of the current wind measurement node and the various wind power machine sets on the wind direction of the gust, and determining an upstream and downstream relationship between the various wind power machine sets; and 3) according to the gust information of the current wind measurement node, the projection distances of the current wind measurement node and the various wind power machine sets on the wind direction of the gust, and the upstream and downstream relationship between the various wind power machine sets, calculating gust information when the gust at the current wind measurement node arrives at the various wind power machine sets. According to the technical scheme of the invention, prediction of the gust in the wind power field is achieved, and then a foundation is laid for improvements of power generation efficiency and safety of the wind power machine sets.

The invention discloses an unmanned aerial vehicle path generation method and device supporting tower key component inspection, and belongs to the field of unmanned aerial vehicle inspection. The method comprises the steps: generating three-dimensional models of all towers in an inspection area in advance, receiving an inspection task, and determining the towers to be inspected and key components;setting a starting point and an ending point of inspection; acquiring an inspection plan of each key component, and generating a sequence, a flight path, an attitude during inspection and an angle during shooting of a holder of the unmanned aerial vehicle by adopting a preset algorithm according to the three-dimensional model and the inspection plan in combination with real-time illumination, wind direction and wind speed conditions, so as to obtain an inspection scheme; and issuing a driving instruction to drive the unmanned aerial vehicle to execute an inspection task according to the inspection scheme. The device comprises an initial module, a determining module, a setting module, a generating module and a driving module. According to the invention, the efficiency of tower inspection by the unmanned aerial vehicle is improved, and the workload of inspectors is reduced.

The invention discloses a real-time online evaluation method and system for a safety state of a power transmission tower. The method comprises: acquiring wind speed, wind direction, lead wire icing thickness and temperature information by utilizing a detection instrument mounted on the power transmission tower, and transmitting the information to a sub-processor; establishing a finite element model of a line-tower coupling system of the power transmission tower by utilizing the sub-processor; loading the acquired information into the finite element model of the line-tower coupling system of the power transmission tower established in the step 2; by utilizing a calculation module in the sub-processor, obtaining an integral structure stress condition of a power transmission line according to the step 3, and performing extractive analysis on counter point displacement, a slenderness ratio, tension and bending stresses, compressed bar stability and axial force; and transmitting an extractive analysis result in the step 4 to a main processor through a wireless network by the sub-processor. According to the real-time online evaluation method and system, a pre-warning signal can be triggered when the power transmission line is in special climate or a running condition of the line is seriously abnormal by monitoring and evaluating the structural state of the power transmission tower, thereby providing basis and guidance for safety operation maintenance and management decision of the power transmission line.

The invention discloses an integrated wind speed and direction measurement device and method for a windmill cabin, and the device comprises a wheel hub front-edge wind measurement set, a cabin tail wind measurement set, and a control system. The wheel hub front-edge wind measurement set and the cabin tail wind measurement set are respectively used for measuring the speed and direction of incoming wind from a front half plane and a rear half plane of the windmill. The invention also discloses a measurement device of the device. The device has no mechanical part, is long in service life, is high in data sampling rate, collects the atmospheric temperature and pressure correction air density in real time, and can judge whether there is a wrong operation or a big error through automatic judgment.

The invention relates to a forest fire obtaining method, in particular to a method for obtaining real-time forest fire grades in a specific place or area. The method relates to a front end system and a rear end system. The front end system is formed by a sensor device, an analog-digital conversion circuit, an embedded type computer system and a network transmission device. The sensor device comprises a sensor control circuit, an atmospheric temperature sensor, an atmospheric pressure sensor, an atmospheric humidity sensor, a rainfall capacity sensor, an earth surface humidity sensor, an earth surface temperature sensor and a wind-direction wind-speed sensor, wherein the atmospheric temperature sensor, the atmospheric pressure sensor, the atmospheric humidity sensor, the rainfall capacity sensor, the earth surface humidity sensor, the earth surface temperature sensor and the wind-direction wind-speed sensor are connected with the sensor control circuit, and the analog-digital conversion circuit is connected between the sensor control circuit and the embedded type computer system. The front end system is connected with the rear end system through network transmission. The rear end system is composed of a fireproof pre-warning system computer, a fire grade data database and a forest fire grade display system. The method for obtaining the real-time forest fire grades in the specific place or area solves the problem that the timeliness of existing forecasted forest fire grades is delayed.

An automated fire detection system includes a distributed network of standalone sensor units having mulifunctional capability to detect wildfires at their earliest stage. Multiple modes of verification are employed, including thermal imaging, spectral analysis, near infrared and long-wave infrared measurements, measurements of the presence and / or concentration of smoke, and sensing local temperature and humidity and wind speed and direction. A dedicated algorithm receives all data from the network and determines the location of flames from the imaging sensors, combined with the smoke, temperature, humidity, and wind measurements at every dispersed device.

A float type high-frequency ground wave radar comprises a float platform, wherein the float platform is provided with a ground wave radar body and further provided with a low-power-consumption computer and a posture sensing module; the low-power-consumption computer is connected with the ground wave radar body and the posture sensing module; the low-power-consumption computer is connected with an operation control module which is connected with an intelligent power source control module; the operation control module is connected with a wind speed and wind direction sensor and a gas sensor; the low-power-consumption computer is connected with a wireless communication module, a photo-electric imaging module and a GPS positioning module. The float type high-frequency ground wave radar overcomes the defect that a traditional ground wave radar needs to be installed on the coast, achieves the key technologies that the high-frequency ground wave radar is integrated on the float platform to carry out monitoring extraction of ocean dynamics parameters, intelligent working, remote data transmission and the like, and has the capacity of monitoring the ocean dynamics parameters of the sea area of fifty to one hundred kilometers around the installation point in a real-time mode when the float type high-frequency ground wave radar is installed in the deep sea water.