84results about How to "Disaster loss reduction" patented technology

The invention discloses a comprehensive monitoring and early warning system based on meteorology and a power grid GIS and a method thereof. The system comprises a data layer and an application layer. The data layer consists of a meteorological database, a power grid GIS database, and a production and operation database. The application layer includes a meteorological monitoring module, a meteorological early warning module, a power grid weather module, an information display module, and an auxiliary decision-making module. The meteorological database, the power grid GIS database, and the production and operation database carry out communication mutually; and the meteorological monitoring module, the meteorological early warning module, the power grid weather module, the information display module, and the auxiliary decision-making module carry out communication with the meteorological database, the power grid GIS database, and the production and operation database respectively. According to the invention, meteorological monitoring information like the temperature, wind direction, and wind speed and the like of important power equipment like a transformer substation, a transmission and transformation line, and a tower can be gotten in real time; and visual meteorological real-time data can be provided for the power grid. Meanwhile, prediction and disaster early warning information of the typhoon and thunder and the like can be provided every 12 hours in the next seven days.

The invention provides a transmission line mountain fire spread warning method with the combination of public network weather. The method comprises a step of obtaining a fire point coordinate, a step of calculating the spread speed of a fire point spread direction based on the fire point coordinate, a step of calculating the linear position of the fire point in the spread direction after a spread time according to the spread speed, and obtaining a spread coordinate, a step of calculating the spread area of the fire point according to the spread coordinate, a step of carrying out warning level definition on the transmission line in the spread area according to the spread time and issuing warning. According to the method, an effective information support is provided for the judgment of a grid mountain fire disaster by a power department, the mountain fire spread speed from the fire point to the transmission line can be calculated, the warning level of the transmission line is judged through time according to the mountain fire spread speed, and the method has high accuracy and practicability and plays an important role in maintaining security and stability of a grid and reducing a disaster loss.

The invention discloses a multi-network refined emergency rescue command system based on cloud computing, and the system comprises an emergency rescue command system and application networks. The emergency rescue command system comprises a rear commanding center, a front commanding center, and an onsite rescue team. The application networks comprise an air and space emergency transmission network,an onsite emergency communication network, a self-organizing wireless transmission network and an early warning information issuing network. The system completes the conventional emergency command architecture and working mode, expands the sky-ground integrated wide coverage to the deep coverage, achieves the refined command communication of different architecture layers: the rear commanding center, the front commanding center and the onsite rescue team, can guarantee that the problems of communication interruption and paralysis caused by the great decreasing of the communication capability caused by the damages to a base station are solved in the maximum range after a major disaster, guarantees the refined command in the onsite rescue process, and greatly improves the emergency communication guarantee capability.

The invention discloses a method for monitoring and processing the reservoir bank slope deformation based on InSAR image data. The method is characterized in that on the basis of acquiring the InSAR data of a reservoir bank slope of a drainage basin, the deformation information of a monitoring area is extracted by means of the SqueeSAR technology and differential interference processing, abnormalvalue identification is performed for the acquired deformation time sequence to define unstable regions appearing within the monitoring range; secondly, two factors of a reservoir water level and therainfall are considered, in combination with relevant geological conditions, through the correlation analysis method, causes of deformation abnormality of the slope are determined and explained; and lastly, the monitoring data and related analysis are reflected in a monitoring report through graphs, tables and the like. Compared with the prior art, the method is advantaged in that continuous and semi-automatic monitoring of the large-scale and high-precision reservoir bank slope of the drainage basin can be realized, and deformation abnormality of the slope can be more reasonably predicted.

The invention discloses a wind vibration simulation method of a 220kV power transmission line tower line coupled system. The wind vibration simulation method comprises the following steps: 1: establishing a finite element model of the power transmission line tower line coupled system; 2: carrying out formfinding on the power transmission line tower line coupled system; 3: carrying out wind load calculation on the power transmission line tower line coupled system; 4: carrying out damping calculation on the power transmission line tower line coupled system; and 5: carrying out wind vibration response calculation and data extraction analysis. The wind vibration simulation method establishes a fine and accurate finite element model of the power transmission line tower line coupled system, and considers the influence of structural damping during wind vibration simulation calculation. The wind vibration simulation method is suitable for carrying out wind vibration analysis on a power transmission line of an area where wind damage frequently happens. On the basis, the power transmission line is subjected to local reinforcement and wind damage early warning to minimize the disaster loss.

The invention discloses a warning and analyzing method for power facility damage based on meteorological data, comprising the following steps: collecting meteorological, geological and hydrological information of an area where grid equipment is located in real time; matching the monitored meteorological, geological and hydrological data information with grid lines or the grid equipment and storing the monitored meteorological, geological and hydrological data information; extracting meteorological data, power facility data and facility damage historical data; setting a warning threshold, and carrying out warning for and evaluating and displaying major meteorological disasters in the area where the grid equipment is located; integrating the extracted data, and analyzing the probability of facility damage based on the data after integration; comparing the result of analysis with the warning threshold, and issuing a warning instruction if the result of power facility analysis exceeds the threshold; and allocating, deploying and commanding emergency personnel, emergency vehicles and emergency supplies online according to the warning content, the level of warning and the level of emergencies.

The invention discloses a multi-emergency vehicle signal priority control device at a single-point signalized crossing, relates to a single-point traffic signal control device at a crossing for controlling traffic signals and aims to solve the problem that the conventional signal priority control system is in chaos under the condition that emergency vehicles from different entrance directions need to pass through the crossing at the same time interval. The device comprises a plurality of phase intelligent agents, multiple groups of signal lamps and a plurality of vehicle detectors, wherein each phase intelligent agent corresponds to a group of signal lamps to control phase sequence and duration of alternative change of turn-on and turn-off of each signal lamp; each vehicle detector is used for detecting an emergency priority signal and transmitting the signal to the phase intelligent agent of a corresponding traffic flow access road; the device also comprises a management intelligent agent which interacts information with each phase intelligent agent; and when different vehicle detectors simultaneously detect the vehicles with the emergency priority, an optimal phase sequence among the phase intelligent agents is made and the sequence result is transmitted to each phase intelligent agent.

The invention discloses a slope slide calamity forecast method based on a RBF nerve network; the method comprises the following steps: building a slope slide calamity online monitoring forecast system, carrying out real time monitoring so as to obtain calamity forming factor data, using a MIV algorithm to screen the data, and using the calamity forming factor data obtained by monitoring as input variables; building a slope slide forecast model based on the RBF nerve network; inputting the calamity forming factor data into the slope slide forecast model, using the forecast model to process the inputted calamity forming factor data, thus finishing slope slide calamity forming probability prediction and forecast. The slope slide calamity forecast method based on the RBF nerve network can eliminate the influences caused by the factors irrelevant to a learning task in the inputted data on the learning performance in a data expression mode, and can keep the useful information in the learning task; the method can be applied to the slope slide calamity forecast, thus more accurately determining the slope slide calamity forming probability.

The invention relates to a flue-cured tobacco cultivation method resisting spring drought. The method comprises the steps that variety distribution is reasonably planned; ditching and ridging are carried out, and a two-row concave ridge which is 200-240cm in width and 20-25cm in height is implemented; for transplantation, seedlings are transplanted early in good time, transplantation is generally finished during the period from the end of March to the middle ten days of April, the method of a well cellar with the diameter of 8-9cm and the depth of 16-20cm is adopted, and a shovel is utilized for marking out a concave furrow which is 8-10cm in width and 2-3cm in depth on the ridge, so that the well cellar is dug easily, and water is prevented from being wasted; fertilizer is applied according to the equal nitrogen principle, and 30-50% of organic nitrogenous fertilizer is additionally applied to soil for the second time; film mulching is carried out, a film is uniformly compacted through soil in a line-shaped mode, and a gap between the surface of the soil and the film is 0.5-1cm. The method simple and easy to implement is adopted for carrying out flue-cured tobacco cultivation, harm to growth and development of flue-cured tobaccos due to the drought can be reduced, an effective yield increase way is provided for tobacco-growing areas suffering from the drought, the output value is increased, and the economic benefit is increased.

The invention provides an electric transmission line forest fire forecasting method, which includes the following steps: (1), collecting meteorological data; (2.1), analyzing fire using conditions in industry and agriculture; (2.2), analyzing precipitation conditions; (2.3) analyzing rainless days conditions; (2.4), analyzing temperature conditions; (2.5), analyzing humidity conditions; (3), drawing forecasting conclusion; (4), issuing forecasting conclusion. The electric transmission line forest fire forecasting method has the following advantages that:(1),the method can perform electric transmission line forest fire forecasting for power grid forest fire area of next two days; (2), the electric transmission line forest fire forecasting method is high in practical application and convenient to operate; (3), the accuracy rate of forecasting electric transmission line forest fire is high; (4), the method has a guiding significance for electric transmission line operating staffs to draw up a forest fire prevention and control measurement, and has an important effect on maintaining the safety and stability of the power grid and reducing disaster loss.

The invention discloses a landslide hazard monitoring system and method. The system comprises a data monitoring equipment module. The data monitoring equipment module is connected with a data transmission module; the data transmission module is connected with a data reception module; and the data transmission module and the data monitoring equipment module are connected with a power supply module for supplying power therefor. The data monitoring equipment module comprises a rainfall monitor for monitoring rainfall, a volumetric water content monitor for monitoring landslide soil body volumetric water content, and a GPS device for monitoring landslide surface displacement. The landslide hazard monitoring system and method can judge possible spatial form and development tendency of a side slope, capture feature information of slope disaster in time and predict slope instability damage time and range in time by monitoring the landslide surface displacement, the rainfall intensity and the soil body volumetric water content in real time, and summarizing response of the soil body volumetric water content to the rainfall and deformation features of the side slope.

The invention relates to a multi-source sensor-based landslide monitoring and early-warning device. The device comprises a data acquisition module, a data transmission module, a data processing module and a landslide early-warning module. The data acquisition module adopts a multi-source sensor to collect real-time data. The data transmission module comprises a broadband transmission unit and a narrowband transmission unit, wherein the broadband transmission unit and the narrowband transmission unit are respectively used for transmitting image data and non-image data. The data processing module is used for judging the working quality of the sensor and extracting a landslide monitoring factor through processing data collected by the sensor, and obtaining a digital elevation model through processing image data. The landslide early-warning module is used for checking whether the landslide monitoring factor exceeds a preset threshold range or not so as to figure out the occurrence risk of a landslide and send out an alarm. Compared with the prior art, the multi-source sensor is adopted for combined measurement, so that the landslide monitoring accuracy and the early-warning confidence are improved. Meanwhile, multiple data communication apparatuses different in characteristics are adopted according to the amount of the collected data of the sensor, so that the transmission cost is reduced.

The present invention discloses a high speed railway vehicle-mounted earthquake emergency handling device information prompt method and terminal, the method is as follows: earthquake emergency handling information and state information of an earthquake emergency handling device are received, wherein the earthquake emergency handling information in the earthquake emergency handling device is received in advance by the earthquake emergency handling device; the earthquake emergency handling information and the state information of the earthquake emergency handling device are processed and conversed; and according to the grade of the processed and conversed earthquake emergency handling information and the state information of the earthquake emergency handling device, a prompt is performed. Through of conversion of the received earthquake emergency handling information and the state information of the earthquake emergency handling device for performing the prompt, a train driver can bake a train according to the prompt, the timeliness of acquiring of the earthquake emergency handling information is improved, and when an earthquake happens, safety of high-speed railway equipment and passengers can be ensured, and secondary disaster losses from the earthquake can be effectively reduced.

An ice coating simulation method for a 220kV transmission line tower-coupling system is provided. The method comprises the following steps: (1) performing finite element modeling of an ice-covered transmission line tower-coupling system, including: modeling a tower by using a unit mirror command, modeling of an insulator and a split conductor spacer, and modeling of split sub-conductors and groundlines; (2) performing form-finding on the transmission line tower-coupling system; (3) calculating the ice-covered loads of the transmission line tower-coupling system; (4) calculating the ice-covered-wind loads of the transmission line tower-coupling system; and (5) performing response calculation and data extraction analysis under the ice coating. According to the method provided by the presentinvention, finite element modeling of the refined tower line is performed by using the unit mirror command, the modeling period is short, and the calculation efficiency is high; according to the actual arrangement manner of the split conductor, the coupling effect between the split sub-conductors is considered, and the model is more refined; and the analytical method and the finite element methodare combined to simulate the conductor, and the technical problems of finite element modeling and form-finding of the overhead line are solved.

The invention provides an organic red date planting method. The method comprises land management, pruning and trimming, fertilization management, disease and pest control management, and water regulation management. With the method, a date orchard soil-fertilizer-water management technology is innovated. According to the invention, a biological bacterial fertilizer and farmyard manure are added, such that date orchard soil fertility is improved. Rainwater is intercepted, water is stored, soil moisture is maintained, soil is loosened, and fertilizer is maintained, such that red date yield and fruit quality are improved, and fruit crack, disease and pest are reduced. The date orchard pruning technology is innovated, and pruning standards of branch-suppression spring pruning and vigour-rejuvenation summer pruning are established. With the method, traditional habits of emphasizing spring pruning rather than summer pruning, and pruning without trimming are changed. Conflicts among appropriate tree shape cultivation, red date nutrition regulation and fruit setting are solved, and high quality and high yield of the organic red dates are ensured. A disease and pest control technology with physical pest prevention and biological trapping is innovatively established. The measures are scientific; investment is low; no pollution is caused; and the effect is significant. With the method, organic red date high-quality high-efficiency production is realized, and AAA-level green and organic red date standards are reached.

The invention belongs to an environmental disaster monitoring and forecasting system which comprises a data acquisition and transmission system and a computer data forecasting and processing system, wherein the data acquisition and transmission system is connected with the computer data forecasting and processing system and is used for providing the aging data of a monitored object for the computer data forecasting and processing system; and the computer data forecasting and processing system is used for processing the aging data of the monitored object provided by the data acquisition and transmission system by using a creeping aging forecasting method, and outputting the processed result. The invention can accurately predict and forecast the occurrence time, scale and developing trend of landslides and earthquakes with sufficient accuracy, thereby basically achieving the purposes of prevention and reduction of disasters.

The invention provides a method for early warning power grid transmission line mountain fire intelligently in a graded mode. The method comprises the following steps of 1, making early-warning standards for power grid transmission line mountain fire, 2, judging early-warning grades of historical power transmission line mountain fire, 3, deciding all grades of early-warning weather thresholds, 4, deciding a weather early-warning grade of a forecasting day, 5, judging the mountain fire early-warning grade of the day before the forecasting day, 6, deciding the power transmission line mountain fire early-warning grade of a delegated zone in the forecasting day, and 7, outputting early-warning results. The method can finally decide the power transmission line mountain fire early-warning grades by judging early-warning grades of all weather elements and current situations of satellite monitoring fire points. The method can meet actual situations well, is easy to achieve, is high in forecasting accuracy, can optimize resource distribution, improves prevention and cure efficiency, reduces casualty loss and maintains safety of power grids.

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 discloses an embedded type system and method for geological disaster video monitoring early warning. The system is formed by an embedded type front end video monitoring device, a wireless relay device and a wireless network access device. The embedded type front end video monitoring device is installed on a monitoring site to collect video signals; the wireless relay device is installed on a peak to be used for transmitting and relaying; and the wireless network access device is installed in a town where the internet can be surfed and transmits signals to the internet. A front end controller collects data of every sensor, performs analytical calculation, preliminarily judges disaster conditions, turns on or turns off a monitoring camera and a power supply of an infrared flash lamp according to the need, judges disasters and outputs signals. The system and the method have active and passive infrared night vision capabilities and are not subject to limitation of day and night, and disaster losses can be reduced to be minimum. A wind-solar complementary power supply and energy-saving power-saving working mode is adopted to enable the system to work normally. A relay communication mode is applied so that the system and the method can be effectively used in areas undeveloped in communication. The system and the method are high in early warning forecast accuracy, simple and practical.

The invention discloses a method for intelligently predicting power transmission line forest fires in a large scale. The method comprises the following steps of (1) determining high-occurrence months of forest fires in a prediction province; (2) determining a specific humidity threshold value; (3) judging prediction conditions; (4) giving a prediction conclusion; (5) drawing susceptible areas of forest fires; (6) drawing a forest fire early-warning map, and giving forest fire warnings. According to the method, (1) a method for intelligently dividing the high-occurrence seasons of forest fires in each province is provided, and large-area power transmission line forest fire breakout conditions in each province of China within the next 7 days can be automatically and rapidly predicted; (2) the method is novel in thinking, clear in flow and high in accuracy; (3) time for the advanced deployment of power transmission line forest fire prevention measures is gained, technical guidance is provided for key power grid forest fire prevention and control areas, loss is reduced, accidents are avoided, and the safety running of large power grids comprising ultrahigh-voltage lines can be ensured.

The invention discloses a winter wheat meteorological disaster comprehensive risk dynamic evaluation method and device. In order to reduce the meteorological disaster risk of winter wheat is reduced,the whole growth stage of the winter wheat and meteorological disasters influencing the development and growth of the winter wheat are integrated, dynamic data are observed in combination with a regional automatic meteorological station, a comprehensive risk evaluation model is used as a basis, and the comprehensive risk dynamic evaluation of the main meteorological disasters of the winter wheat is realized; the accuracy and the dynamic property of risk evaluation are improved; disaster occurrence of winter wheat can be accurately early warned in advance. the transition from coping with a single disaster to comprehensive disaster reduction and the transition from the single disaster type to the comprehensive disaster reduction are realized; the disaster loss is reduced and the disaster risk is reduced; for induced factors, comprehensive risk assessment, hazard influence benefits and comprehensive integrated quantitative comparison of multi-disaster combinations at different time periods, dynamic quantitative risk assessment based on a crop growth mechanism and a disaster formation mechanism is realized, and an assessment result can meet the actual needs of meteorological disaster early warning and disaster prevention and reduction work.

The invention provides an inclination rectification reinforcing method for a disaster damage diseased deep pile foundation building. The inclination rectification reinforcing method comprises the following steps of selecting all piles or part of piles within a scope of a foundation of a building to be sunken to reversely incline; sequentially cutting the piles in different lengths based on the design requirements; connecting through a hydraulic jack and / or a steel plate pumping regulating device; gradually reversely inclining the building by regulating the device; or forcibly inclining the building to sink and reversely incline stably and slowly as the loading stress of the pile is increased by transferring bearing force of the cut broken pile on a retaining pile. The invention also provides an inclination rectification reinforcing method for a disaster damage diseased deep pile foundation building. With the adoption of the method, the bearing capacity of the pile is reduced by reducing the supporting friction resistance of the soil of the side foundation of some pile of the building so as to reversely incline the building to the side. The method can be applied to carrying out disaster resisting, disaster relieving and treating diseases to the deep pile foundation multi-rise or high-rise building based on common pile types.

The invention discloses a multi-sensor fusion life detection positioning system and positioning method. The system comprises a radar detection unit for providing real-time detection data for the computation of a three-dimensional positioning coordinate of a life entity under the ruins, and sending the real-time detection data to a data transmission unit; a micro-vibration detection unit for detecting a vibration signal; an audio-video detection unit for providing image and acoustic wave real-time detection data for the life entity under the ruins, checking the actual environment, the life entity location and physical sign information under the ruins, and providing more accurate rescue information through real-time conservation; the data transmission unit for receiving the detection data sent out by the radar detection unit, the micro-vibration detection unit and the audio-video detection unit and forwarding the same; and a detection display terminal for dynamically displaying the detection process and the detection result in real time. The method is implemented based on the above system. The system disclosed by the invention has the advantage of being simple in operation, wide in applicable range, and capable of greatly improving the life detection positioning precision.

The invention discloses a method for using an alarming system to achieve three-party communication. The method comprises the steps that an alarm giver dials an alarming call, a public security three-in-one platform pushes the alarming call to a one-key alarming platform, a wiz platform pushes position information of the alarm giver to the one-key alarming platform, the one-key alarming platform starts interphones around the alarm giver, the public security three-in-one platform pushes alarming voice to the one-key alarming platform, the one-key alarming platform plays communication voice of the alarm giver and an alarm receiver in real time to the started interphones, a policeman presses an interphone PTT talkback button for voice communication among started interphone groups, the one-keyalarming platform pushes the voice flow generated by the interphones to the public security three-in-one platform, and thus three-party communication of the alarm giver, the alarm receiver and the policeman is achieved. By means of the method, the communication voice flow of the alarm giver and the alarm receiver is transmitted to the interphones in real time to be received by the policeman in real time, the policeman in the groups is timely informed to receive alarm and allocate policemen to handle the case, the efficiency of allocating the policemen is improved, and the loss caused by disasters is reduced.

The invention discloses a power transmission line icing multi-source monitoring and early warning method and system. According to the method, by combining various data sources from power grid icing automatic monitoring, manual reporting and meteorological satellite inversion and the like, coupling correlation analysis of power grid icing multi-source monitoring data is carried out, a power grid icing multi-source monitoring and early warning model integrating icing hidden danger, icing real-time monitoring, icing growth trend and emergency ice melting is established, comprehensive sensing andearly warning of power grid large-range regional icing are achieved, and power grid icing disaster prevention and control are facilitated. The method is high in practicability and convenient to operate, has guiding significance for power transmission line operation personnel in making icing emergency decisions, and plays an important role in maintaining safety and stability of a power grid and reducing disaster losses.

The invention discloses an industrial control system information security attack risk assessment method and system. The method comprises the steps that control object state data including the liquid level of a water tank, the opening degree of an overflow valve, the opening degree of a communication valve and the speed of a water suction pump are acquired, wherein the control object state data include the proportion parameter, the integral parameter, the differential parameter and the control algorithm parameter of a proportional electromagnetic valve, and the control algorithm parameter includes the data that a main controller cannot acquire the data of a liquid level sensor, the data that the main controller modifies the control parameter to enable the liquid level to be abnormal and theattack type data of the data that the liquid level cannot be normally displayed, wherein the attack type data include the control environment state data of time, date, temperature, humidity and atmospheric pressure; whether a risk signal is generated is judged; and if the judgment result is yes, the risk value of the corresponding type is calculated according to each type of data, the informationsecurity attack risk value is calculated and the risk level is determined. Complete and effective risk assessment can be realized so that the accuracy of risk assessment can be enhanced.

The invention belongs to the technical field of resource environments, and discloses a big data intelligent measuring system and method for resource environment bearing capacity. The method includes: establishing a big system data acquisition, analysis and integration system in a resource environment-social and economic binary mode; building a multi-level big data framework structure, wherein the big system data acquisition adopts a multi-feature fusion acquisition algorithm; for massive resource environment and social economic data, adopting a local linear embedding algorithm to carry out big data preprocessing, and establishing a big database of a multi-dimensional and multi-scale resource environment complex system; through data statistical analysis, a distributed mining technology and an intelligent deep learning method, establishing an internal strong association relationship between internal multi-level indexes of the complex and large system of the resource environment; adopting a J2EE or. NET technical framework to carry out visual display of intelligent evaluation. A prevention and control system is effectively applied, the timeliness and accuracy of analysis and processing are improved, and disaster loss is reduced to the maximum extent.

The invention relates to a method for planting double-high bean, wherein it comprises that selecting field, furnishing field, selecting seed, seeding, managing, and harvesting. Said corn is compact high-density kind and loose large-germ kind; the bean is resistant to loose plant; and it plants four or six rows of corn, while two side rows are planted with loose large-germ corn, and the middle is planted with compact one, and the nearby area is planted with bean at four or six rows, and the grooves at the middle of six rows of bean are planted with loose large-germ corn. The invention has low cost and high yield.

The invention discloses a power transmission line fire monitoring method based on video analysis. The method includes the following steps: 1) a video image acquisition device obtains image informationand sends the information a fire information acquisition module; 2) the fire information acquisition module judges fire disaster situation information and sends the information to a fire early warning processing module; 3) the fire early warning processing module divides fire information into different grades and sends the grades to a fire grade alarm module; and 4) the fire grade alarm module sends out a fire warning to a user. The power transmission line fire monitoring method provided by the invention solves the problem that due to a satellite monitoring blind area, fire cannot be discovered timely and accurately, improves the efficiency of disaster early warning, and provides a technical guarantee for further disaster emergency treatment.

The invention belongs to the technical field of time sequence model processing and geotechnical engineering disaster prediction in artificial intelligence, and particularly relates to a foundation pit disaster prediction and early warning method based on LSTM and a deep residual neural network, and the method comprises the following steps: S1, arranging a measurement point position at a key position of a measured foundation pit, the measurement point position is used for measuring data of underground water level, support axial force, diaphragm wall stress and deep horizontal displacement of a point location; and S2, collecting the data, and preprocessing the data; the method has the beneficial effects that the influence of different characteristics of the prediction data on the prediction precision is comprehensively considered, and the acquired data are predicted by using different neural network models, so that the prediction precision is improved; the foundation pit disaster prediction is carried out by combining the LSTM and the residual network model, compared with a single model, the prediction precision is greatly improved, the foundation pit monitoring data prediction is improved, and the occurrence of the foundation pit disaster is prevented and avoided to a certain extent.