33results about How to "Reasonably formulated" patented technology

The invention discloses a method for implementing oil-gas exploration and oil-gas reservoir characterization by using living bacteria exception and total bacteria exception of methylosinus trichosporium as indexes. The method comprises the following steps of: acquiring a sample above an oil-gas exploration and oil-gas reservoir characterization area according to the specific grid degree, sampling depth and sampling quantity, and packing and storing the sample according to the specific conditions; simultaneously acquiring the living bacteria number and the total bacteria number of the methylosinus trichosporium in the sample by adopting a conventional microbe counting method, and drawing an equal living bacteria line and an equal total bacteria line on a map, a topographic map, a geologic map or a topographic-geologic map to obtain the living bacteria exception and the total bacteria exception; comprehensively comparing the living bacteria exception with the total bacteria exception; making a judgment and a prediction or providing an oil-gas reservoir exploitation scheme for the underground oil-gas resource condition of the oil-gas exploration and oil-gas reservoir characterization area according to the characteristics, similarities and differences of the living bacteria exception and the total bacteria exception by combining the results of geologic exploration, geochemical exploration and geophysical exploration.

The invention discloses a power load forecasting method, which includes: step 1: using historical data, each annual load characteristic index and a plurality of influencing factors are used for trial calculation, and a quantitative relational expression between each annual load characteristic index and a plurality of influencing factors is established ; The historical data includes each year's load characteristic index data and each influence factor data for many years in the past; Step 2: Utilize the quantitative relational expression obtained in step 1 to predict each year's load characteristic index of the year to be predicted, and according to the predicted Each annual load characteristic index predicts the annual power generation in the year to be predicted; Step 3: distribute the predicted annual power generation to each month. The method of the invention performs annual power generation forecast and monthly power generation forecast, multiple influencing factors are considered comprehensively, and the prediction accuracy is high, which provides a reliable basis for the formulation of power consumption plan. The improved gray prediction method is used for calculation, and the efficiency is high.

The present application provides a logistics information query method and device. Wherein, the method includes: receiving a logistics user's first-level query request for specific logistics information; according to the query conditions provided by the first-level query request, querying information related to the specific logistics information in a designated logistics information storage database ; According to the query conditions and / or the information related to the specific logistics information obtained from the query, initiate a secondary query request to the corresponding logistics system; according to the received real-time logistics information and the specified logistics information For the information related to the specific logistics information found in the information storage database, update the corresponding data in the designated logistics information storage database; form a corresponding The query result of the first-level query request is generated, and a query result display page is generated and sent to the logistics user.

The invention provides a control method for a web center crack of a special-shaped blank and belongs to the technical field of steel making near-net-shape continuous casting. The control method for the web center crack of the special-shaped blank comprises the steps that the distance between an outlet of a casting blank supporting system a special-shaped blank continuous casting machine and a crystallizer meniscus is obtained to be 4-6 m; through pretreatment, model building, calculation process and post-treatment, the real-time thermal state information existing when the casting blank is located at different positions in the continuous casting machine is analyzed; the web centre liquid core length Lfb is controlled, and m is within the range of Dsg-1.0<=Lfb<=Dsg; the components of the steel type are optimized and adjusted, and according to the shrinkage amounts of the thicknesses, at a flange and a web, of the casting blank, the roll gap shrinkage taper of each sector section in the casting blank supporting system is set. The control method for the web center crack of the special-shaped blank has the advantages that the method is simple, economical and efficient, the occurrence rate of the web center crack defect is effectively reduced or the web center rack defect is effectively eliminated, and the competitiveness of the product is improved.

The invention discloses a numerical processing method for internal deformation of a pipeline, belongs to the engineering field of pipeline deformation detection, and solves the problems of analyzing pipeline deformation according to detection data and reconstructing a three-dimensional model of the pipeline. According to the three-dimensional detection data of the deformation in the pipeline, a series of discrete data points in multiple sections perpendicular to the axis of the pipeline is established; an additional point is added at the end of the series of discrete data points, so that the series of discrete data points after the above processing can form a closed Curve; According to the discrete data point column of each section after processing, the cubic spline function of each section is obtained, and the cubic spline function is solved to obtain the one-dimensional closed curve fitting of the pipeline section and the ellipticity of the pipeline section; each section The set of discrete data point columns constitutes the 3D point cloud data set of the pipeline, and establishes the 3D model of the pipeline. The numerical processing method described above can be used to establish a three-dimensional model of the pipeline.