120 results about "Natural hazard" patented technology

The invention relates to the technical field of comprehensive emergency management, in particular to a decision-making and command all-in-one machine based on a digital predetermined plane and an operation method of the all-in-one machine. The all-in-one machine comprises a basic platform layer, a predetermining plane layer, a service application layer and a user layer in the aspect of architecture and adopts the design combining an application system and a hardware platform as a whole, can cope with natural hazards, accidents, disasters, public security, social security and various emergencies, and meets core requirements for analysis, judgment, decision making, scheduling, commanding and emergency management of public security emergency management. By means of integral design of the decision-making function and the command function and the all-in-one architecture combining practical auxiliary decision making of seven decision-making support technologies, the application system and the hardware platform, investment is little, implementation is easy, effects are fast, and professionalization is achieved. The all-in-one machine can be used for an intelligent emergency decision making and command scheduling system.

The invention relates to a method for evaluating ice resistance of a tower-wire coupled system of an overhead transmission line, which belongs to the technical field of natural disaster prevention of the overhead transmission line. The method comprises the steps of selecting a micro terrain section which is easy to have ice coating in the overhead circuit by utilizing a computer through a program, establishing a finite element model of the tower-wire coupled system, calculating a weak link and the ice resistance of the tower-wire coupled system under the effect of uniform ice coating and wind load, carrying out non-uniform ice coating load correction for the micro terrain section where the ice coating is easy to occur, and determining the weak link and the ice resistance of the tower-wire coupled system. The method has characteristics that the workload is small, the authenticity is high, the precision is high, reliable evidence can be provided for the ice coating disaster early-warning grade and the early-warning threshold value of the overhead transmission line so as to take de-icing measures in time, the ice coating disaster can be effectively prevented, and the safe and reliable running of the overhead transmission line can be ensured. The method can be widely applied to the evaluation of the ice resistance of the tower-wire coupled system of the overhead transmission line.

Systems, methods, and apparatus are disclosed for providing natural hazard information associated with a piece of property. In one aspect, a method is provided for providing natural hazard data. The method includes receiving geographic location information associated with a property. The method further includes retrieving natural hazard information associated with the geographic location of the property. The method further includes generating data based on the natural hazard information associated with the geographic location of the property for displaying on a computing device. The method further includes transferring the generated data to the computing device. Other aspects, embodiments, and features are also claimed and described.

The invention discloses a cultivation method for imitating wild dendrodium and belongs to the technical field of dendrodium cultivation. The cultivation method comprises the following steps that at first, the wild dendrodium is transplanted to carry out seed cultivation, then cultivated seeds are cultivated into seedlings in a tissue culture chamber, the seedlings are cultivated into seed seedlings in a greenhouse, and finally the seed seedlings are cultivated and harvested again in the field. According to the cultivation method, the growth cycle of imitating the wild dendrodium is prolonged and can reach 10-15 years, the harvesting year is prolonged, and economic benefits are increased. The dendrodium cultivated through the cultivation method is excellent in quality, high in medicinal value, and high in disease and pest injury resistant and natural hazard resistant ability, the ecological environment is protected, and water and soil loss is reduced.

The invention discloses an ecological agricultural management system which has the functions of constant pressure monitoring and control, water level monitoring and control, fertilizer monitoring and control, irrigation monitoring and control, wireless valve control monitoring and control, voice promoting, prepayment monitoring, internet of things communication, water quality monitoring, shading illumination monitoring and control, humidity ventilation monitoring and control, temperature monitoring and control, video capture, soil entropy monitoring, plant disease and insect pest monitoring, product trace management, meteorological monitoring, cloud data management, application program visual management.The system can record the agricultural product variety, growth environment and growth process all the way, improve agricultural production automation degree, and reduce inconsistency caused by human factors in the agricultural production process, the quality of agricultural products is improved, various natural hazards are effectively avoided, a user can know the production process and related data of agricultural products immediately, and the increment space of agricultural products is enlarged.

An apparatus and methods for early warning of natural and man-made disasters. The apparatus is connected through the Internet to a provider of disaster warning information. A user of the apparatus determines the geographic location where the apparatus will be operated and subscribes to one or more alerting channels for that geographic location, e.g., via a cloud-based interface. Depending on the nature of the disaster and the distance from the origin of the disaster, alerts may be generated before the effects are noticed local to the device. The user can set thresholds for alert severity, and, via audible and/or visual alerts.

A method and system for protection against natural temperature-dependent dangerous phenomena connected with huge streams mainly water, mud, locust. The method allows weakening these streams and allows protecting against these dangers at least at of the first two stages of development of said phenomena: forming these masses and their moving, as far as possible. The method allows protecting ecology and increasing CO2 absorption. The system allows also transporting the electrical energy that is received from solar radiation with help of solar cells flying in stratosphere to ground-based reception stations.

The invention discloses a method for cultivating paddy rice in a lodging resistance way, comprising the following steps of (1) selecting a lodging resistance variety; (2) implementing row-expanding transplant and rational sparse planting; (3) rationally irrigating to keep the alternate dry or wet status of a paddy field; (4) rationally applying fertilizer to optimize nitrogen fertilizer management; (5) enhancing control on plant diseases and insect pests, i.e. enhancing control on rice planthopper, banded sclerotial blight, rice joint blast and chilo suppressalis; (6) after the occurrence of lodging, timely adopting remedial measures, i.e. timely ditching for water discharge, implementing the foliage top dressing of foliar fertilizer, and bunching and strengthening after lodging. By the adoption of the method for cultivating the paddy rice in the lodging resistance way, as the resistance against external environmental conditions is enhanced, the lodging resistance capability of the paddy rice can be improved; after suffering natural hazards such as typhoon and rainstorm, the paddy rice grows well; therefore, available spikes are increased by 10.2%, total grains are increased by 10.2%, and filled grains are increased by 10.5%; the maturing rate is increased by 10.3%, the thousand grain weight is increased by 10.1%, the theoretical yield is increased by 10.9% and the actual yield is increased by 10.9%; in addition, the rice grains are excellent in quality, the cooked rice is tasted good, and the economic benefits are obvious.

Disclosed is a coastal area wind prevention security power grid frame construction method based on a graph theory algorithm. The coastal area wind prevention security power grid frame construction method based on the graph theory algorithm includes: using a graph theory path search algorithm to identify power grid frame topology structures of 220KV and above for current and planned power grids, obtaining important degrees of each station and each circuit in topology for normal running and rapid power restoration, and forming a core backbone grid frame of 220V and above in a regional power grid; simultaneously, combing an important user power supply route, selecting a key station and a key circuit which supply power for important users according to a distribution situation and differentiation of the important users, and forming an important user security power supply radiation type fishbone grid frame; then, selecting a contact circuit of a center urban area and an outer area according to grid frame security requirements; finally, organically combining the core backbone grid frame, the radiation type fishbone grid frame and the contact circuit of the center urban area and the outer area so as to construct a coastal area wind prevention security power grid frame. The coastal area wind prevention security power grid frame construction method based on the graph theory algorithm can effectively improve the ability of the regional power grid of withstanding intrusion of natural hazards of typhoons and the like, guaranteeing the important users and supplying power for areas.

The invention discloses a natural disaster early warning system. The natural disaster early warning system comprises an information acquisition unit, an image processing unit, a prediction model establishing unit, a disaster prediction unit and an early warning unit. According to the invention, a machine learning method is adopted to train disaster sample data in a sample data set formed by quantizing scene image information shot by a camera and natural state information detected by a sensor; detection is performed according to the evaluation indexes to obtain an optimal disaster prediction model; disaster prediction can be carried out on a scene transmitted by the information acquisition unit in real time in the disaster prediction model; a distributed data processing system constructed by a plurality of servers and computing hosts is adopted in the prediction model establishing unit to train the sample data, and the distributed system performs parallel training on the sample data, sothat the efficiency is effectively improved.

The invention discloses a reinforced concrete frame beam structure. The reinforced concrete frame beam structure comprises stand columns, reinforcing steel bar assemblies and enhancing structures, wherein the reinforcing steel bar assemblies are arranged between two adjacent stand columns, deformation structures are configured on the reinforcing steel bar assemblies, the deformation structures are located at or near to the minimum bending moment of the reinforced concrete frame beam structure under the vertical load; the enhancing structures are at least arranged at the deformation structures. According to the reinforced concrete frame beam structure, the plastic hinge can be effectively formed while having natural hazard as earthquake due to the fact that the deformation structures and the enhancing structures are adopted, and the energy-consuming mechanism of strong column and weak beam is achieved.

The invention discloses an ecological gabion arrangement method. The ecological gabion arrangement method comprises the following steps that bottom foundation arrangement is carried out; bottom gabion arranging arrangement is carried out; bottom gabion body arrangement is carried out; packing is carried out, wherein after all bottom gabions are arranged, bottom gabion bodies are filled with building stones, multiple times of packing are adopted during packing, the layer height of packing each time is not larger than 30 cm till the bottom gabion bodies are full of the building stones, the top filling building stones are higher than the gabion bodies, then manual or mechanical building and leveling are carried out, and the filling building stones are in lap joint; upper gabion arrangement is carried out; spaced soil filling and scattered riprap filling and throwing are carried out, filled soil is compacted in layers, the thickness of each layer of filled soil is 20 cm, scattered riprap behind a wall must be subjected to throwing and filling in layers, and the thickness of each layer is 30 cm; and 10-15 cm of humus is laid at the top end of a gabion wall in a filling manner. According to the ecological gabion arrangement method, rampway water and soil losses can be effectively avoided, arrangement is convenient, the service life is long, the ecological gabion arrangement method can be suitable for quite extreme regions, and meanwhile damage in natural hazards is not prone to happening.

The invention belongs to the technical field of mine natural disaster information management, and discloses a mine natural disaster hazard source risk prevention mechanism management system and method. The mine natural disaster hazard source risk prevention mechanism management system comprises a physical model dynamic evolution module, a tailing pond dam break quantitative analysis module, a tailing pond dam break fault model building module and a tailing pond hazard source identification and evaluation module. The sharp mountain phosphate rock high and steep slope, the Kunyang phosphate rockdump and the seamouth phosphate rock cavern beach tailing dam are taken as research objects, major accident potentials of the tailing dam are identified and subjected to risk evaluation, and possiblefailure modes, disaster-causing mechanisms and dynamic evolution processes of main geological disasters such as the tailing dam can be revealed; a reasonable and effective disaster treatment measureand a prediction and forecast system are provided, scientific prevention of disasters is achieved, disaster losses are reduced to the minimum, reliable technical guarantee is provided for safe miningof surface mines, and reference is provided for similar mines.

The invention relates to an agricultural drought monitoring method based on soil moisture to meteorological time lag. The method comprises the following steps: preparing data of a research area, calculating evapotranspiration data by using a Penman's formula, carrying out rainfall and evapotranspiration interpolation and vegetation health index resampling, and ensuring that monthly mean value data in the research area have the same spatial resolution; estimating the delay time of the soil moisture to rainfall and evapotranspiration by means of a cross wavelet analysis method; calculating the relative values of rainfall, evapotranspiration and soil moisture relative to the historical overall level in sequence, and calculating the agricultural drought index of the research area in combination with the time lag condition. Correlation analysis is carried out on the drought index obtained by the method and a traditional drought index, and the reliability of the method is proved in the aspects of time, space and crop drought areas. According to the method, the brand new agricultural drought index is constructed, so that more accurate agricultural drought identification, monitoring and disaster loss evaluation are realized, and an important scientific basis can be provided for natural disaster monitoring evaluation and disaster prevention and reduction decision making.

The invention provides an anti-seismic and anti-collapse power switch cabinet, which comprises a base, a supporting plate, a power cabinet, a heat conduction box and anti-seismic plates, wherein the central position of the base is hollow, ejector rods are fixedly connected to the centers of the peripheral wall faces of the hollow position of the base, the ends, away from the wall face, of the ejector rods are fixedly connected with first piston plates, a supporting block is movably connected between the ejector rods, the tops of the supporting blocks are fixedly connected with the supporting plate, the power cabinet is fixedly connected to the top center of the supporting plate, a baffle is hinged to the upper end of one side, away from the power cabinet, of the heat conduction box, telescopic assemblies are fixedly connected in front of and behind the lower end of the side, away from the power cabinet, of the heat conduction box, And one end, away from the heat conduction box, of thetelescopic assembly is movably connected with the lower end of the bottom of the baffle. In the prior art, the existing power switch cabinet generally does not have anti-seismic and anti-collapse effects, and is easy to damage when being extruded by heavy objects or encountering natural disasters, so that electrical elements in the power switch cabinet are damaged and cannot work normally. According to the invention, the anti-seismic and anti-collapse power switch cabinet is provided and solves the problem in the prior art.

The invention discloses a positioning confidence optimization method based on Bayesian multi-sensor error constraint, and belongs to the technical field of navigation positioning and information fusion application. According to the method, a multi-source fusion positioning system composed of a GNSS, an IMU, laser radar, and a visual camera is utilized, and on the basis of a multi-source fusion state updating model, error constraints of all sensors are extracted; a Bayesian decision equation is introduced into a sliding window of a time sequence, and weight balancing is carried out on each information source; and a joint global error constraint equation is established, a self-adaptive fusion positioning framework is optimized, and a multi-source fusion optimal confidence positioning solution is obtained. The method is simple and easy to implement, and a self-adaptive positioning technical means can be provided for an unmanned intelligent platform in unknown shielding environments such as urban canyons and geological natural disasters.

The invention relates to the technical field of natural disaster prediction, in particular to a severe convection weather recognition algorithm based on convolutional neural network learning, which comprises the following steps: firstly, collecting a historical weather flow pattern model, then training and learning through a convolutional neural network, and obtaining a recognition model for the historical weather flow pattern through training and learning; secondly, adopting a real-time rainstorm weather flow pattern model through a radar real-time meteorological chart, and then recognizing the real-time weather flow pattern model through the recognition model obtained through training in the first step; judging whether the real-time weather system of the weather flow pattern model identified in the step 2 is located in a monitored key area or not; if yes, outputting a weather flow pattern conforming to geological disasters; and if not, continuing real-time identification. According to the method, real-time recognition is carried out on radar images of severe convection weather, recognition is carried out through a model obtained through convolutional neural network learning and training, and different weather models and disaster models judged in a monitored area can be effectively obtained.

The invention relates to the technical field of remote monitoring and early warning, and provides a remote intelligent monitoring and early warning system and method based on photovoltaic cell power supply to solve the problem that an existing monitoring and early warning system is limited by power supply and cannot monitor and early warn natural disasters and accidents in time when commercial power is not connected in a remote area. The system comprises a plurality of monitoring devices arranged in a distributed mode and a remote monitoring server connected with the monitoring devices. Each monitoring device comprises an infrared detector, a camera, a temperature sensor, a humidity sensor, a gas detector, a wind power detector, a light intensity sensor and a photovoltaic power storage mechanism; wherein the monitoring devices are in communication connection, and the environment information collected by the monitoring devices can be mutually shared; and the remote monitoring server obtains current environment information, and controls each element to work in sequence according to a preset time sequence according to the weather information and the environment information to collect corresponding environment data, so that early warning can be performed in time when abnormity occurs.