45 results about "Climatology" patented technology

This disclosure provides a method and system that isolate non-seasonal components of network measurements from the seasonal components and compare the non-seasonal components to determine cause and effect relationships between various network nodes, to determine whether an event at a first node is experienced at a second node, and / or to characterize and localize a source of interference.

The present invention provides a ''high cooling low falling'' airing system, belonging to air protection, engineering construction field. The system is based on the abound mountain sources, embedding two or more large diameter pipelines having thermal function which has different positions and functions on the mountain having 4000-6000m height which has ice all years. The pipelines is embedded from mountain to city, the mountain pipeline has cool gas input port, the foot has input port of fresh air. One or more air pumping and pressing stations are set in suburbs of each city, pumping the natural gas having temperature below zero from mountain, then compressing and sending to user, realizing the natrual cooling air instead of the present refrigeration plant containing refrigerant such as air conditioner, icebox and ice cabinet etc; the system realizes energy saving and reduces consumption, inhibit global warming; and realizes supplying natrual fresh air to city.

The invention discloses a small watershed short-term flood forecasting method based on a typical design flood hydrograph. The small watershed short-term flood forecasting method comprises the following steps: S1, obtaining design flood peak flow and the typical design flood hydrograph of a small watershed river channel in different years; s2, judging whether the riverway starts to perform short-term flood forecasting or not according to the actual measurement flow; s3, determining the forecasting time of short-term flood forecasting according to the actually measured flood flow of the riverway; s4, determining a slope Kn according to the typical design flood hydrograph of the corresponding age limit; s5, determining the predicted flood flow q'n + 1 at the moment tn + 1 according to the actually measured flood flow qn and the slope Kn at the moment tn; s6, judging whether short-term flood forecasting can be ended or not according to the actually measured flood flow at the moment tn + 1;s7, correcting the age limit Tn of the design flood hydrograph for calculating the slope Kn according to the actually measured flood flow qn + 1 at the moment tn + 1 and the predicted flood flow q'n+ 1 at the moment tn + 1; and S8, ending the short-term flood forecasting. Compared with an existing flow algorithm and a corresponding water level method, the method has the advantages of being simple, rapid and the like.

The invention provides a water surface rainfall intensity measurement method based on rain sound spectrum and a device thereof, relates to water surface rainfall intensity measurement, and specifically provides a water surface rainfall intensity measurement device which is based on a DSP digital acquisition system and has the advantages of high anti-interference, low self noise, high reliability,high bandwidth and data mass memory as well as a method. The device is provided with a gas-tight silo, a gas-tight silo float, a hydrophone, a hydrophone float and a circuit. In the measurement method, frequency range division and shape of underwater rain sound spectrum are adopted in combination with the least square method and the non-linear method to invert water surface rainfall intensity; according to log-linear change principle of the sound spectrum at the frequency range ranging from 15kHz to 30kHz, rainfall is divided into 3 types: no rain, light rain and heavy rain; an S-type growth model is adopted to study the sound spectrum principle in the process of the light rain and quantize rainfall intensity in the process of light rainfall; a log-linear model is adopted to study the sound spectrum principle in the process of heavy rainfall and the low frequency range of 2-10KHz of the rain sound spectrum and parameter value of the log-log model are adopted to quantize the rainfall intensity in the process of the heavy rainfall.

The invention discloses a multi-feature-constrained network river mainstream identification method, which belongs to the field of map synthesis; mainstream identification is an important operation in the process of river system synthesis, and the accuracy of identification directly affects the quality of river system synthesis. In a river system with a large spatial range, there will be a network of rivers formed by the interweaving of river channels in some areas. The river sections in it are dense, complex in structure and similar in attributes, which greatly increases the difficulty of identifying the mainstream of the river system. The multi-feature-constrained network river mainstream identification method proposed by the present invention, firstly, builds the directed topology structure of river system data, and detects the key nodes that affect the mainstream identification, that is, redundant nodes; secondly, considers the flow direction of the river, and calculates each The effective topological boundary of redundant nodes is determined to determine its "influence domain", and a hierarchical tree is established accordingly; finally, considering the multi-feature constraints such as semantics, geometry, direction, topology, and hierarchical relationships, the optimal connection path between nodes is calculated to realize mainstream recognition.

The invention discloses an intelligent air-conditioning control method based on body surface temperature monitoring, comprising: based on indoor air temperature t a and indoor radiation temperature t r Calculate the theoretical calculation value t of the surface temperature of the human body in the neutral state in summer sn Or the theoretically calculated value of the surface temperature in the neutral state of the human body in winter t wn ;Based on the actual temperature of the user's surface t cl , and the theoretically calculated value of surface temperature t in the neutral state of the human body in summer sn Or the theoretically calculated value of the surface temperature in the neutral state of the human body in winter t wn Calculate summer temperature control value CS s or winter temperature control value CS w ;Call the seasonal information, based on the summer temperature control value CS corresponding to the seasonal information s or winter temperature control value CS w Control the air conditioner. The present invention is based on the physical parameters of the neutral state of the thermal comfort of the human body, and is divided into summer and winter working conditions, and controls the air conditioner based on the body surface temperature and room temperature monitoring data respectively, which improves the control accuracy and efficiency of the indoor air conditioner temperature set point, It can guide the operation and regulation of the air conditioner more effectively.

The invention relates to the technical field of point cloud maps, and provides a point cloud processing method, device and equipment and a storage medium. The method comprises the steps: obtaining a plurality of point cloud tracks which are divided from an original point cloud track and distributed at different heights; based on an initial section point cloud trajectory determined in the multiplesections of point cloud trajectories, obtaining candidate section point cloud trajectories in the multiple sections of point cloud trajectories, wherein the candidate section point cloud trajectoriesand the projections of the initial section point cloud trajectories in the height direction do not have point cloud projection overlapping; determining a splicing section point cloud track communicated with the starting section point cloud track in the candidate section point cloud tracks; and forming a target point cloud trajectory based on the spliced section point cloud trajectory and the initial section point cloud trajectory, thereby ensuring continuity of subsequent semantic annotation processing on the target point cloud trajectory, and ensuring accuracy of semantic annotation on the point cloud trajectory on an annotation plane.

The present invention proposes a rolling robust dispatching method of electrothermal energy for electric heat storage to accommodate wind power, adopting a rolling robust correction strategy to avoid the increase of wind power prediction error caused by the delay of the dispatching period, and reduce the impact of system uncertainty on the dispatching plan Impact. The present invention is divided into two parts, the first stage: day-ahead planning and dispatching. Each wind farm predicts the wind power output of the next day and reports the power prediction interval of the wind farm and other forecast information to the grid dispatching center. The dispatch center calculates the allowable output range of each wind farm and the planned output value P of other units based on the power forecast range and load forecast information of each wind farm. plan . Then, the dispatch center sends dispatch instructions to each power plant for safe and economic dispatch according to the calculation results. Stage 2: Intraday rolling correction. In this dispatching stage, the wind power forecast range and other forecast information reported by each wind farm to the dispatching center are the results of rolling corrections.

The invention relates to an urban agglomeration ground surface heat island intensity evaluation method. The method comprises the steps of acquiring ground surface temperature data of a target urban agglomeration in a target time period, and evaluating the heat island intensity of the target urban agglomeration according to the ground surface temperature data; screening out potential driving factors influencing the urban agglomeration heat islands according to the urban agglomeration data of the target urban agglomeration in the target time period, and creating a cause data set of the urban agglomeration heat islands according to the potential driving factors; based on the evaluation result of the intensity of the urban agglomeration heat islands and the cause data set, constructing a cause determination model of the urban agglomeration heat islands by adopting an enhanced regression tree method; and operating the urban agglomeration heat island cause determination model to obtain a cause diagnosis result of the target urban agglomeration heat island, and determining an urban agglomeration heat island cause mechanism according to the cause diagnosis result. Compared with the prior art, the method has the advantages that the urban agglomeration is regarded as an integral area to evaluate the heat island intensity and analyze the relative importance and marginal effect of the cause of the heat island intensity, and a scientific basis is provided for relieving the regional heat island and constructing the livable urban agglomeration.