30results about How to "Effective forecast" patented technology

The invention discloses railway slope landslide information collection and early warning systems based on distributed fiber sensing. The collection system comprises a linear continuous monitoring sequence and a control cabinet; the linear continuous monitoring sequence is composed of fiber sensor buried in the slope structure at one side of a railway in an M shape, and the slope condition can be comprehensively and effectively monitored without omission; and the control cabinet comprises an optical path module which can generate pumping laser pulses, a circuit module which controls the optical path, and a communication module which transmits data to a monitoring room. The system monitors deformation of the railway slope via the fiber sensors which are buried in the distributed manner, and transmits collected information to the control cabinet in real time via the wireless communication module; the system can effectively forecast slope landslide, and predict possible slope landslide according to trends of data; and the systems are characterized by high stability, high anti-interference capability and long signal transmission distance.

The invention provides a method for forecasting the fishing situation of Symplectoteuthis australis in the South China Sea, which comprises the following steps: different points are selected in the sea area where the fishery situation prediction of Symplectoteuthis australis needs to be carried out, and environmental factors affecting the habitat quality of Symplectoteuthis australis at corresponding positions are obtained; the environment factors affecting the habitat quality of Symplectoteuthis australis are analyzed; according to the model of different seasons and different environmental factors and adaptability index, the adaptability index of the selected point position is obtained; according to the model of habitat adaptability index and seasonal adaptability index, the habitat adaptability index of selected sites is obtained; the habitat adaptability index distribution map of Symplectoteuthis ulna is obtained by image processing of habitat adaptability index corresponding to theselected points in the fishery forecasting sea area, and the range of Symplectoteuthis ulna fishery could be predicted. The method of the invention can make short-term prediction of the fishery situation of the South China Sea kite squid and reflect the habitat change of the cephalopod resources in a short time, and the accuracy rates of forecasting the fishery situation of the South China Sea kite squid in different seasons are 83%, 86%, 88% and 90%, respectively.

The invention discloses a wearable real-time monitoring device for human body induced electricity under a high-voltage transmission line. The wearable real-time monitoring device comprises a metal conductor, an insulating stick, ankle bands and insulating boots capable of being worn on feet. The ankle bands are connected with a ground lead. The other end of the ground lead is connected with a ground rod. A current probe is arranged on the ground lead and connected with a monitor. The monitor is further connected with a voltage probe. A static electricity leakage resistor is arranged on the ground lead in a serial connection mode. The wearable real-time monitoring device serves as the erecting reference of a high-voltage circuit and the safety reference of the work under the transmission line, and is simple in structure and convenient to operate and use.

The invention discloses a comprehensive tunnel harmful gas advanced prediction method based on TSP. The method comprises the following steps: S1, detecting a rock mass in a tunnel, and recording the integrity of the rock mass in the tunnel; S2, performing geological sketch according to the obtained integrity of the rock mass in the tunnel; S3, carrying out data acquisition of tunnel seismic wave method geological forecast, and acquiring acquired data;S4, detecting harmful gas in the rock mass to obtain a harmful gas detection result; S5, forecasting the harmful gas according to the data acquired in the S3 and the harmful gas detection result in the S4 to obtain a forecasting result; and S6, performing harmful gas protection according to the forecast result in the S5. Through the intervention of the TSP technology, the accuracy of predicting the harmful gas of the non-coal-series tunnel is effectively enhanced, and the prediction of the harmful gas can be more effectively completed.

The invention relates to a pulsar timing noise estimation and forecasting method which comprises the steps as follows: timing observation is performed on a pulsar to obtain pulsar timing observation data; pulsar timing observation data are analyzed, self-correlation matrixes of measurement noise and timing noise are obtained; a maximum likelihood estimation equation is solved based on the pulsar timing observation data and the self-correlation matrixes of measurement noise and timing noise, and a timing noise estimation and forecasting value is obtained; and the maximum likelihood estimation equation is as follows:, wherein s represents the timing noise estimation and forecasting value, Cs represents the self-correlation matrix of timing noise, Cs<-1> represents an inverse matrix of the self-correlation matrix of timing noise, n represents the measurement noise, Cn represents the self-correlation matrix of measurement noise, Cn<-1> represents an inverse matrix of the self-correlation matrix of measurement noise, and the equation that o is equal to the sum of s and n represents pulsar timing observation data.

The invention discloses a weather forecast system for power production. The weather forecast system comprises a data layer, a logic layer and an application layer; meteorological monitoring data is processed by using a business service module and an analysis model module, conventional meteorological forecast information is firstly obtained, and then electric power professional downscaling numerical meteorological forecast information is obtained by using a power transmission line power downscaling method; wind damage forecast information and galloping forecast information are obtained by combining power grid GIS data, power grid PMS data and power transmission and transformation line monitoring data on the basis of power professional downscaling numerical weather forecast information; electric power professional meteorological disasters are accurately focused, local surface features and near-surface meteorological factor data are accurately obtained, and forecasting and early warning of the electric power meteorological disasters are effectively achieved; related forecasting and early warning are based on conventional meteorological products and electric power professional conventional meteorological products, and an effective correlation model between meteorological related power grid disasters or faults and meteorological factors is established, so that meteorological disaster effective early warning oriented to power grid risks is realized.

The invention relates to a reagent card for rapidly detecting IgG subtypes and a preparation method thereof. The reagent card comprises a vertical fixing plate (1), wherein a horizontal supporting plate (2) is arranged at the top of the vertical fixing plate (1); eight microcolumn-type gel tubes (3) are arranged on the horizontal supporting plate (2); each microcolumn-type gel tube (3) comprises a reaction chamber (3.1) and a gel separating column (3.2); a circle of flange (3.3) is arranged at the top of the reaction chamber (3.1); multiple layers of separating screens (3.4) are arranged inside the gel separating column (3.2) from top to bottom; supporting frames (4) are arranged below the horizontal supporting plate (2); the microcolumn-type gel tubes (3) are inserted into the supporting frames (4); protective films (5) are arranged above the horizontal supporting plate (2); the protective films (5) cover the flanges (3.3) of the eight microcolumn-type gel tubes (3). According to the reagent card for rapidly detecting the IgG subtypes and the preparation method thereof, the reagent card is high in sensitivity, good in specificity and high in stability, the preparation method is easy and fast to operate, and a result is easy to judge and read.

The invention discloses a transverse prestress reinforcement method of a railway simply-supported T beam. The transverse prestress reinforcement method comprises the following steps: S1, the steel barposition of a main beam web of the railway simply-supported T beam is detected; S2, hole position drilling of a transverse prestress steel beam is conducted; S3, common steel bars are anchored; S4, the steel bars are pre-tightened; S5, the transverse prestress steel beam is mounted; S6, a formwork is mounted; S7, the transverse prestress steel beam is primarily pulled; S8, the transverse prestress steel beam is finally pulled, specifically, the transverse prestress steel beam is pulled after the concrete strength reaches 75-85%, pulling is conducted in two steps, and pulling force each time is 190-200 kN; and S9, anchor sealing is conducted, specifically, anchor sealing is conducted through C50 reinforced concrete. According to the transverse prestress reinforcement method, through a finite element analysis method of the transverse reinforcement effect of the railway simply-supported T beam, the self-vibration frequency after reinforcement can be accurately estimated, and increasing of the bridge transverse stiffness is promoted through the transverse prestress reinforcement method.

The invention discloses an earthquake alarm, which is mainly characterized in that a hollow magnetic rod is hung in the air by a thin wire; the interior of the magnetic rod is provided with a laser transmitter; when the spot of laser hits on a CCD photoelectric sensor, the sensor senses the movement of the spot and is connected with a computer to record data on the computer; in normal condition, the magnet does not rotate, and the laser spot also does not move; the geomagnetic field changes severely a few minutes or hours before the earthquake to cause the magnetic rod to rotate slightly, thereby causing the position of the laser spot to offset, the offset is recorded in the computer by the CCD photoelectric sensor, if the offset is larger than a certain range, the computer alarms, and the range can be regulated by computer software. As the technical scheme in the invention is adopted, compared with the prior art, the earthquake alarm has the advantages of sensitive instrument, high precision, pure mechanical type, reliable work, and good ability of not being interfered by cell phone signals or thunder and lightening.

The invention relates to a method for judging gas abnormality by utilizing gas desorption quantity characteristics, which belongs to the technical field of coal mine safety and comprises the followingsteps of: acquiring gas monitoring minute mean value data of a jth shift; calculating the mean value of the jth shift gas monitoring number; calculating a k-minute moving mean value of the gas monitoring data in the ith minute; calculating an m-minute moving mean value of the gas monitoring data in the ith minute; calculating the maximum value of the k-minute moving mean value in the jth shift; calculating the maximum value of the moving mean value of m minutes in the jth shift; calculating the maximum gas desorption amount of k minutes in the jth shift; calculating the maximum gas desorptionamount in m minutes in the jth shift; calculating the ratio of the gas desorption amount of k minutes or m minutes in the jth shift to the total gas emission amount of the jth shift; calculating theratio of the gas desorption amount of k minutes to the gas desorption amount of m minutes in the jth shift; calculating the ratio of the maximum value of the k-minute moving mean value to the maximumvalue of the m-minute moving mean value in the jth shift; final recognition.

The invention relates to a method for calculating the heat conduction flux of a riverbed and a water body in a data-free area. The method comprises the steps of fitting annual temperature changes, calculating a dimensionless temperature value and a dimensionless water temperature value, calculating the heat content of the riverbed, calculating the heat content difference at different times, calculating the heat conduction flux of the riverbed and establishing a relation curve of the temperature and the heat conduction flux of the riverbed. According to the method, the riverbed heat conductionflux of a data-free area can be evaluated according to the air temperature process without measuring or calculating the temperature of soil bodies of different depths of the riverbed, and calculationis accurate and efficient; meanwhile, the invention provides a relation curve of the water temperature and the air temperature and a relation curve of the riverbed heat conduction flux and the air temperature, and the change process of the water temperature or the riverbed heat conduction flux at different periods of time can be effectively estimated.

The invention relates to an energy load hybrid prediction method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: constructing an independent load prediction model corresponding to each energy type; inputting the actual load data corresponding to each energy type of the N historical days into an independent load prediction model corresponding to each energy type to obtain a predicted load coupling result corresponding to each energy type of the to-be-predicted day; determining model variable information corresponding to each energy type; for each energy type, constructing a hybrid load prediction model corresponding to the energy type according to the model endogenous variable and the model exogenous variable; and inputting the actual load data corresponding to each energy type of the N historical days into the mixed load prediction model corresponding to each energy type to obtain mixed prediction load data corresponding to each energy type of the to-be-predicted day. By adopting the method, effective estimation of medium-and-long-term load conditions is realized, and reasonable configuration of energy storage links in an energy supply system can be facilitated.