67 results about "Forestry" patented technology

The invention discloses a method for measuring height by fusing an unmanned helicopter barometric altimeter and a GPS (global positioning system), belonging to the technical field of unmanned helicopter flight control. The method is characterized in that a barometric altimeter, the GPS and a flight control computer are utilized, wherein, the barometric altimeter and the GPS form a redundancy height measuring system; the effective flight height value of the unmanned helicopter is obtained after the height measuring value of the barometric altimeter and the height measuring value of the GPS are fused by the flight control computer, when the GPS is in failure, the height value of the barometric altimeter is adopted; when the height value of the air pressure changes suddenly, and the height value of the GPS does not change, the height value of the GPS is adopted; and when the height value of the air pressure and the height value of the GPS change synchronously, the mean value of the height values of the GPS and the air pressure is taken as the flight height value. By fusing the height measuring value of the barometric altimeter and the height measuring value of the GPS, the method provided by the invention has the advantages that the reliability and accuracy of the height measurement are improved, and the conditions that the barometric altimeter is easily influenced by gust when being used singly and the GPS is easily influenced by the surrounding condition when being used singly are avoided.

The invention discloses a device for accurately positioning intermittent joints of similar material rock mass samples. The bottom plate of the crack positioning bracket is arranged in parallel on both sides of the sample mold, and the anchor bolts of the crack positioning bracket are anchored on the sample preparation base plate. The crack positioning bracket It is connected with the bottom plate of the crack positioning bracket through threads, and the crack longitudinal positioning rods are respectively arranged parallel to the crack positioning bracket bottom plate and fixed on the four crack positioning brackets by screws. The slider of the horizontal positioning rod is stuck in the groove of the longitudinal positioning rod of the crack, and the angle positioning device is stuck in the groove at the lower end of the horizontal positioning rod of the crack through the square slider at the top, and the crack is made by the steel plate at the lower end of the angle positioning device. The structure is simple and the operation is convenient, which effectively guarantees the high-efficiency creation of fractures and the enrichment of fracture forms, which greatly facilitates the strength and deformation behavior tests of rock masses with different fractures, and quickly creates intermittent fractures with specified parameters.

The invention relates to a forest fire detection platform based on satellite remote sensing images. The forest fire detection platform comprises a ground receiving station, a ground processing station and a fire alarm system. The ground receiving station is used for receiving and recording the satellite remote sensing images. The ground processing station is connected with the ground receiving station and used for processing the satellite remote sensing images and identifying flame images in the satellite remote sensing images. The fire alarm system is connected with the ground processing station and used for realizing forest fire alarms at different levels according to the areas of the flame images. Through the forest fire detection platform based on the satellite remote sensing images, the remote sensing images of all positions of a forest can be obtained in a satellite remote sensing mode, the flame images are identified by analyzing the obtained remote sensing images, and the hierarchical forest fire alarms are given according to the areas of the flame images.

The invention relates to the technical field of utilization of remote sensing, specifically to a method for utilizing satellite remote sensing to monitor a forest fire. The method is characterized by utilizing satellite remote sensing to acquire forest monitoring earth surface information, acquiring forest abnormal information according to the acquired satellite monitoring earth surface information, and performing fire monitoring according to the forest abnormal information. The method has the beneficial effects that forest environment abnormal information, thermal abnormity and fire detection information are acquired by using satellite visible light, thermal infrared rays and microwave images, and information fusion and comprehensive analysis are performed, so that low cost and efficient forest fire monitoring work are realized.

The invention relates to a system error calibration method of an ultrashort baseline positioning system. In order to effectively reduce influences of water refraction and measurement gross errors on positional accuracy of the ultrashort baseline positioning system, environment parameter data and ultrashort baseline measurement data are measured so that an intrinsic sound ray between a transponder and an ultrashort baseline array and the included angle between the intrinsic sound ray and a coordinate plane can be calculated, an ultrashort baseline installation angle error angle measurement transformation calibration model is constructed by means of included angle vectors between the intrinsic sound ray and the array and between the intrinsic sound ray and an earth plane, and a gross error resistance least square is adopted to estimate an ultrashort baseline installation angle error according to an observation residual error design gross error resistance weight matrix in the least square solution model equation process. Ultrashort baseline installation angle error solution deviation caused by environment parameter gradient changes in water can be effectively compensated, influences of the gross errors on calibration solution are reduced through gross error resistance weights, and calibration accuracy and consistency of installation angle errors are improved.

The invention discloses a satellite positioning data transmission method, which comprises the following steps that a mobile terminal acquires the longitude value and the dimension value of the mobile terminal through a satellite positioning module of the mobile terminal, the mobile terminal performs data compression on the longitude value and the dimension value respectively, and sends the compressed data to a monitoring terminal, and the monitoring terminal acquires the longitude value and the dimension value of the monitoring terminal through a satellite positioning module of the monitoring terminal, performs uncompressing on the received longitude value compressed data according to the longitude value of the monitoring terminal, and performs uncompressing on the received dimension value compressed data according to the dimension value of the monitoring terminal, so that the longitude value and the dimension value of the mobile terminal are obtained. The data length of satellite positioning data transmitted by the mobile terminal each time can be shortened, so that the data transmission time is reduced.

The invention discloses a hypsometrical measurement method by using total station. Take total station to measure angle and PDA to real-timely save and manage data. Take allocating total station twice on the same vertical face and total station front converging method to realize real-time measuring of tree height without setting total station on horizontal distance of trunk center, which can overcome influence of forest terrain complexity. It makes good use of precious angular function of total station and strong data managing and saving function of PDA. All field observed data is saved by PDA and to calculate and save tree height by PDA programming, which improves monitoring precision greatly, reduces workload and improves working efficiency.

The invention discloses a remote sensing time sequence analysis-based abandoned land information extraction method. The method comprises the following steps of obtaining remote sensing image information; constructing an NDVI time sequence data set according to the acquired remote sensing image information, and constructing an NDVI continuous time sequence growth change curve of vegetation in the cultivated land range; according to the NDVI continuous time sequence growth change curve of the vegetation in the cultivated land range, extracting the parameter CV of the fluctuation intensity of theintra-year change curve of the NDVI; and extracting spatial distribution information of the abandoned land from the cultivated land range according to the CV value. According to the method, the phenological characteristic difference analysis of the abandoned land and the cultivated land can be carried out by utilizing remote sensing intra-year and inter-year continuous time sequence images, and the growth characteristics of the abandoned land are represented by normalizing the CV of the intra-year change curve fluctuation intensity of the difference vegetation index NDVI, so that the distribution information of the abandoned land in the year is obtained; and aggregating the multi-year image time sequence set to extract multi-year abandoned land spatial distribution information, thereby obtaining multi-year abandoned land evolution information.

The invention discloses a method for rapidly and accurately determining the shape and area of a forest gap, which comprises the following steps: (1) determining coordinates of a forest zone to be determined; (2) controlling, by a ground processing system, according to the coordinates, an unmanned plane remote sensing system to fly to a position 200 m above the ground of the forest zone to be determined, allowing the unmanned plane remote sensing system to hover; (3) performing aerial photographing of the forest zone to be determined by the unmanned plane remote sensing system, wherein the unmanned plane remote sensing system comprises a control module (210) for receiving instructions from the ground processing system, and controlling a power module, a global positioning system module, and a shooting module based on the received data, and a shooting module for receiving instructions from the control module and performing aerial photographing based on the received instructions; (4) processing the aerial photographs, that is, processing the aerial photographs by an ERDAS software; (5) calculating the shape and area of the forest gap. The method has the advantages of rapidness, accuracy, sensitive reaction, simple structure, labor saving and time saving, and the like, and is suitable for popularization and application.

The invention discloses a coal field fire area determining method and device. The coal field fire area determining method includes the steps of obtaining thermal infrared image data of a target area, obtaining land surface temperature information of the target area according to the thermal infrared image data of the target area, determining the position of the burning center of coal fire of the target area according to the land surface temperature information of the target area, and determining the burning area of a current coal field fire area in the target area according to the position of the burning center of the coal fire of the target area. By means of the coal field fire area determining method and device, the effect of improving monitoring accuracy of the coal field fire area is achieved.

Waveform data of a satellite-borne laser radar GLAS can be decomposed into two mixed generalized Gaussian waveforms representing a forest canopy part and a ground part of a laser spot respectively. The position of the ground is determined precisely according to crest positions of the waveform of the ground part, the position of the top of a forest canopy can be determined according to the waveform starting position of the GLAS, and finally the forest canopy height is obtained. The forest canopy height is affected by the shape and size of the spot, the gradient and the slope aspect, so that a novel tree height geometrical and physical correction model is provided. According to the model, the influences of the factors on tree height are fully considered, the influences of transmission pulse width on the tree height are also considered, and eventually the forest canopy height is extracted precisely. The GLAS data is utilized for precise extraction of the forest canopy height, the defects in forest vegetation height research through a former remote sensing method are overcome, the estimation precision of the forest canopy height is improved, and a new path is opened up for global carbon cycle and global climate change research.

The invention discloses a continuous tracking and positioning method in the case of signal absence of a GPS receiver, and relates to the global satellite positioning and navigation field, such as GPS. In the method , certain data used for tracking and positioning are recorded in a normal tracking and positioning state, when the signal is temporarily absent, the continuous satellite tracking and continuous positioning are realized by the data and a pseudo tracking loop, and the normal tracking and positioning method is performed after the signal is recovered. The pseudo tracking and positioning method in the signal absence condition is applicable to the baseband processing chip of any types of GPS receivers, can greatly enhance robustness and starting and positioning speeds of the receiver, and has the advantages of simple structure, low chip area overhead, low cost and convenient transplantation.

The invention discloses a method for processing ground synthetic electric field data measured practically. The method comprises: according to a missing value writing-in rule of ground synthetic electric field data measured practically, a missing value is determined and rejected; on the basis of a Pauta criterion, determination and rejection are carried out on abnormal value segmentation of ground synthetic electric field data measured practically; the rejected missing value and abnormal value in the ground synthetic electric field data measured practically are made up by using a linear regression method, thereby obtaining ground synthetic electric field data after making up; if the ground synthetic electric field data after making up do not meet expectation, a segmentation way is adjusted and the abnormal value is made up again by using the linear regression method; and if the ground synthetic electric field data after making up meets expectation, a random interference value in the ground synthetic electric field data after making up is filtered by singular value decomposition. Therefore, the impact on the ground synthetic electric field data by measurement equipment abnormality or external environment interference can be reduced; and thus a mechanism analysis of a ground synthetic electric field can be promoted.

The invention provides a processing method of microwave landing airborne equipment angle and ranging data. On the basis of azimuth angle, elevation angle and distance information measured by airborne equipment, a recursion and interpolation method is used to respectively calculate the air craft distance value and elevation angle value at an azimuth function moment and the air craft azimuth value and distance value at an elevation angle function moment, coordinate transformation is performed by the position information, air craft navigation errors caused by the asynchronization of the azimuth angle, elevation angle and distance information measured by the airborne equipment are avoided, and landing precision is increased.

The invention provides a forest ecological system respiration carbon flux determination method, which comprises the following steps of obtaining the concentration of atmosphere CO2 at different heights in a target forest layer in the preset time period and the delta 13C isotope value in the atmosphere CO2; obtaining the forest ecological system respiration delta 13C isotope value according to the concentration of atmosphere CO2 and the delta 13C isotope value; obtaining the delta 13C isotope value in the CO2 generated by respiration of tree branches to be tested in the target forest in the preset time period and the delta 13C isotope value in the CO2 generated by respiration of soil; determining the proportion relationship of each respiration ingredient in the forest ecological system according to the obtained delta 13C isotope value in the CO2 generated by respiration of tree branches to be tested and the delta 13C isotope value in the CO2 generated by respiration of soil; obtaining the carbon flux of the soil to be tested; substituting the obtained carbon flux of the soil to be tested into the proportion relationship of each respiration in the forest ecological system; obtaining the forest ecological system respiration carbon flux. The carbon flux change of the atmosphere and the plants can be precisely measured in the forest ecological system under the complicated terrain conditions.

The invention discloses an underground positioning method based on signal relative field strength. The method provided by the invention can realize accurate positioning of underground work staff and moving targets using a specific positioning device through a positioning server and positioning reference point equipment, and has the advantages of simple and efficient positioning process, high electromagnetic interference resistance and high robustness. A positioning system using the positioning method has the characteristics of high positioning accuracy, low cost, simple structure of system equipment, easiness in implementation, and the like, is convenient for dispatching management of safety production management personnel, and can provide accurate staff position information for rescuers when a mine disaster occurs, thereby improving the rescuing efficiency and rescue probability of trapped workers.

The invention discloses a vehicle-mounted non-blind-area positioning navigation and travel posture measuring device and a measuring method. The measuring device comprises a satellite positioning module, a magnetic resistance sensor, a tilt angle sensor, a CAN bus interface, a micro controller and an external input / output interface; the outputs of the satellite positioning module, the magnetic resistance sensor and the tilt sensor are connected with the input of the micro controller; the micro controller is in two-way connection with a whole-vehicle CAN bus through the CAN bus interface; the micro controller is in two-way connection with an external device through the external input / output interface. The measuring device has the benefits of no positioning blind area, low development and design cost and low maintenance cost.

The invention provides a greenhouse winter jujube disease prediction model based on the agricultural Internet of Things and a depth belief network. Winter jujube growth environment information is collected and preprocessed. Winter jujube disease video color images are collected, and the features are extracted to form a winter jujube disease joint eigenvector. According to the greenhouse winter jujube disease occurrence regularity, the historical data of winter jujube diseases are combined to establish a greenhouse winter jujube disease joint eigenvector database. The winter jujube disease prediction model based on the depth belief network (DBN) is constructed. The prediction model consists of an input layer, three restricted Boltzmann machines (RBM) and a BP network. An unsupervised greedy layer-by-layer method and the joint eigenvector in the database are used to pre-train the prediction model to acquire the best parameter value of the prediction model. The prediction model is tested to repeatedly train the prediction model. Winter jujube disease prediction is carried out to improve the accuracy of greenhouse winter jujube disease prediction.

The invention discloses a mountain fire monitoring and positioning method based on a small-sized radar. According to the mountain fire monitoring and positioning method based on the small-sized radar, the Doppler radar is used for performing stereoscopic scanning within an appointed region, a suspected fire point meeting the mountain fire echo feature can be found by analyzing the basic reflectivity and the radial speed; the fire point is confirmed according to a result of an infrared sensor, so that mountain fire monitoring and positioning for a power transmission line are realized. The mountain fire monitoring and positioning method based on the small-sized radar well solves the problem that the Doppler radar cannot effectively distinguish fire echo and precipitation echo with low intensity during fire condition monitoring and the problem that the infrared sensor is relatively low in space resolution by combining a Doppler radar stereoscopic scanning result and an infrared sensor result.

The invention discloses an underground personnel positioning method based field intensity and step-mounting distance measurement. The positioning method is characterized by precisely positioning the underground personnel using a specialized positioning device by a system server and a little amount of wireless access devices, the positioning process is simple and effective, the resistance against electromagnetic interference is powerful, and the robustness is rather strong; a positioning system adopted by the positioning method is high in positioning precision, low in cost, simple in system device structure and easy to come into effect. And the positioning method is convenient for dispatching management of safety production management personnel, and provides rather precise personnel position information for rescue workers when a mine disaster occurs, so that the rescue efficiency and the rescued probability of trapped workers are improved.

The invention provides an underground coal mine accurate positioning method without clock synchronization. An underground mine tunnel serves as a one-dimensional channel for analysis; a system structure of positioning substations+ positioning cards is adopted; by utilizing known distance between substations, adjacent substations carry out ranging communication with each positioning card respectively, and the positioning initiating substation finishes ranging and positioning calculation without any timing and data operation of the positioning cards; and distance between each personnel positioning card and the substations can be accurately obtained by utilizing the known distance between substations, and thus accurate positioning is realized. When the accurate positioning method is implemented, clock synchronization is not needed between the substations and between the substations and the positioning cards, and clock and crystal oscillator offset errors of a positioning device can be eliminated. The accurate positioning method is simple in realization process, fast in positioning speed and high in real-time performance, and has a wide popularization value.

The invention provides a mountain fire monitoring system and method based on infrared guidance and radar detection. In the mountain fire monitoring system and method, an infrared sensor and a radar detection device are fixed and integrated on the same rotating platform driven by a servo motor, the infrared sensor is used for finding an ignition point, the distance of the ignition point is measuredby the radar detection device, the ignition point is positioned, the radar detection device is used for monitoring the topography and vegetation coverage condition in the area near the ignition point, and combined with the wind speed and direction at the time, the fire risk classification and warning of transmission lines are realized. The functions of automatic finding, automatic positioning andautomatic alarm are realized, the line tripping accident rate caused by a mountain fire is reduced, and the capability of electric transmission lines to resist mountain fires disasters is improved.

The invention discloses a positioning system of a fire point of a forest fire and a using method thereof. An electronic compass is used to measure angles; a GPS is used to collect positioning data; a PDA is used to carry out data storage; a GPRS is used to transmit the data to a server; and a model is used to carry out calculation to realize positioning of a fire point of a forest fire. According to the invention, unavoidable problems existing in a current forest fire point positioning process can be solved; positioning efficiency and precision can be improved; and real-time transmission of a fire point position can be realized.

The invention discloses a remote sensing monitoring method of the light use efficiency and the gross primary production of a phyllostachys pubescens forest ecological system. The method comprises the following steps of: firstly, obtaining the gross primary production through a carbon flux tower observation technology, and calculating the light use efficiency by dividing the gross primary production by photosynthetically active radiation; secondly, by utilizing the relationship among the light use efficiency of the phyllostachys pubescens forest, the reflectance of a remote sensing image and the vegetation index, on the basis of eliminating an abnormal value of the remote sensing image, in combination with a partial least square method and a bootstrap method, screening an optimal variable combination, establishing a light use efficiency inversion model, and obtaining the light use efficiency of the phyllostachys pubescens forest by inversion; and finally, calculating the light use efficiency of the phyllostachys pubescens forest by utilizing a light use efficiency inversion model, multiplying the calculated light use efficiency by the photosynthetically active radiation, obtaining the gross primary production of the phyllostachys pubescens forest, and realizing dynamic monitoring of the light use efficiency and the gross primary production of the phyllostachys pubescens forest ecological system based on a remote sensing technology. By means of the method, the remote sensing monitoring precision of the gross primary production of the phyllostachys pubescens forest can be increased.

The invention discloses a fire monitoring and decision-making system and a fire monitoring and decision-making method based on an X-band dual-polarization weather radar network. The fire monitoring and decision-making system adopts one or more X-band dual-polarization weather radars to perform high temporal-spatial resolution fire monitoring on a region of interest of a user, can switch to a tracking mode when monitoring that a fire breaks out, and starts to perform tracking observation with higher temporal resolution; fire information monitored by all radars is transmitted to an information center through a communication link, and the fire information is displayed in a centralized manner and early warning is carried out on an information center comprehensive platform, the development trend of the fire is evaluated in real time, and a basis is provided for discovering and extinguishing the fire in time. The fire monitoring and decision-making system can acquire detection data includinginformation such as a fire outbreak time, a fire outbreak site, a fire development trend, smoke and dust diffusion influence and fire control time, provides a scientific detection basis for fire fighting and commanding, and can become a data support for historical case investigation of fire through reverse checking and analyzing historical data.

The invention provides a structure construction multi-point synchronous high-precision positioning method based on a Beidou GNSS & BIM. Multiple key nodes of a measured structure are synchronously measured through a 360-degree electronically-controlled rotating electro-optical distance measurement device, the geodetic coordinates of the measured nodes are automatically calculated according to coordinates provided by the Beidou GNSS, the relative distance and the relative elevation angle and direction angle between the distance measurement device and the high-precision positioning device and the relative distance and the relative elevation angle and direction angle between the distance measurement device and the measured key nodes, and the coordinates of corresponding nodes in the BIM are directly replaced through coordinate transformation and a mapping relationship. The structure construction multi-point synchronous high-precision positioning method based on the Beidou GNSS & BIM can realize synchronous measurement of the coordinates of multiple key nodes of the structure and keep the BIM synchronous with the structure construction.

The invention belongs to the field of forestry planting, and particularly discloses a water-retention planting fast-growing method for forestry. Water-retention particles are buried into the peripheries of plants by 30-50 cm, and comprise water retention agents and wrapping layers wrapping the water retention agents, the water retention agents are high-water-absorption resin, and the wrapping layers comprise straw and organic fertilizer which are mixed together. By the adoption of the method, the problem that transplanted plants are difficult to survive is solved.

The invention provides a method for monitoring and tracking forest fire echoes by using a CINRAD / SA weather radar. Echo blocks are identified by a four neighborhood method, forest fire echo blocks are identified according to data parameters, 'low, small and weak' forest fire is identified according to data parameters of the echo blocks, and continuous identification discrimination is carried out according to 'in situ and spread' characteristics of the forest fire. Echo blocks with significant movement and too fast change of intensity and area are eliminated, so the accuracy of forest fire identification is further improved. Non-forest-fire black and white list identification comparison is set, so false alarm is reduced so as to find forest fire rekindle in time. Sequence diagrams and change curves of the forest fire echo blocks in line with early warning are saved. The method of the invention makes it possible to automatically monitor, accurately identify and continuously track forest fire, and provides a scientific basis for forest fire prevention and extinguishing command, safety protection of field power equipment and so on.

The invention provides a forest fire monitoring method and platform based on a sunflower weather satellite. Fixed point monitoring based on the sunflower weather satellite is used, and data is uploaded per 10 minutes, so that instantaneity of fire monitoring is greatly improved, and early warning of fire is timelier and more accurate.

The present application discloses a method and apparatus for identifying forest hotspots based on multi-source satellite monitoring. The method includes the following steps: forest hot spot monitoringdata collected via a first satellite is received, and the forest hot spot monitoring data includes position information of at least one monitored forest hotspot; according to a pre-established globalgeographical distribution grid, grid coordinates corresponding to the monitored forest hotspot are determined; based on the grid coordinates of the forest hotspot, whether the forest hotspot is a newhotspot is determined. Via use of te global geographical distribution grid, whether the monitored forest hotspot is a new hotspot or a continued hotspot, forest hotspot identification accuracy is improved, the monitored forest hotspot can be effectively numbered, forest hotspot distinguishing efficiency can be improved, and valuable time guarantee can be provided for dealing with subsequent forest fires.