40results about How to "Scientific data support" patented technology

The invention provides an urban underground drainage pipe network data supplementing and perfecting method and system, and the method comprises the steps: marking a pipe type, and also comprises the following steps: filling pipe diameter or section shape data according to topology; setting a pipeline reference DEM; filling elevation according to the topological relation; and filling the elevationaccording to the default burial depth. The invention provides an urban underground drainage pipe network data supplementing and perfecting method and system. A scheme for automatically supplementing and perfecting urban pipe network data attributes is provided, and data of an urban underground water pipe network can be automatically and quickly supplemented and perfected by utilizing a method forrealizing data supplementing based on a spatial relationship and a method for filling an elevation value based on pipeline gradient.

The invention provides a method and a device for establishing a geomechanical model of a salt-cavern gas storage group, which are used for providing scientific and effective data support for evaluation of a to-be-established salt-cavern gas storage such as an ultra-deep salt-cavern gas storage group and ensuring reasonable selection of the to-be-established salt-cavern gas storage such as the ultra-deep salt-cavern gas storage group.

The invention discloses a high sulfur content gas reservoir sulfur solubility online test apparatus and a test method thereof. The high sulfur content gas reservoir sulfur solubility online test apparatus comprises a dual injection system, a CS2 absorption elemental sulfur system, a stratum environment high temperature and high pressure simulating reaction system, a fluorescence sulfur determining system, a data acquisition system and a cleaning and tail gas treatment system. The test method comprises sulfur-containing gas sample preparation, vacuumizing preparation, stratum high temperature and high pressure environment simulating, elemental sulfur testing, total sulfur metering testing, total sulfur testing after a sulfur dissolution reaction, data acquisition, cleaning and tail gas treatment, and the like. According to the present invention, the solubility data of the gas elemental sulfur in the high temperature and high pressure high sulfur content gas reservoir can be safely, conveniently, accurately and efficiently determined, the foundation is established for the solving of the widespread sulfur deposition problem in the high sulfur content gas reservoir development, and the scientific data support is provided for the making of the reasonable high sulfur content gas reservoir development program.

The invention relates to the field of quantitative characterization of reservoir petrology in the study of glutenite reservoirs, in particular to a method for counting cuttings content in glutenite reservoirs, comprising the following steps: intercepting imaging well logs according to the research depth; Process the well log to obtain the area percentage of the total content of gravel components; select the core sample to obtain the area content percentage of various gravel-level cuttings in the core section sample; based on the area content percentage and total content of gravel components The final percentage content of each type of gravel-level cuttings is obtained by area percentage; the content of various types of sand-level cuttings is obtained for the core samples corresponding to the research depth; the final percentage content of various gravel-level cuttings and the same type of sand-level cuttings The content is added to obtain the actual content percentage of various cuttings at the research depth; the present invention combines the content of cuttings of sand size and the content of cuttings of gravel size to accurately characterize the content of different types of cuttings in glutenite reservoirs.

The transformer overload prediction technology in the Taiwan area of ​​the present invention is based on the regression model-based transformer overload prediction method, system and storage medium in the Taiwan area, which can effectively predict the overload situation of the transformer in the Taiwan area, and provide powerful data for inspection plans and transformer upgrading and transformation plans support. The method is as follows: according to the filling factor of the transformer load curve, the transformer with the maximum load lasting for more than a preset period is screened as the overload tendency transformer, and the minimum value of the load rate in the overload tendency interval is obtained; The load value is predicted to obtain the load growth coefficient of the adjacent two years; according to the prediction results combined with the minimum load rate of the overload tendency transformer overload tendency interval, and the load growth coefficient of the adjacent two years, the overload tendency occurrence interval of the next year is predicted The minimum value of the load rate, thus obtaining the list of overloaded transformer predictions.

The invention relates to the technical field of electric engineering and more specifically relates to a user electricity consumption structure analyzing method. Based on a data mining technology, steady state electricity information of home appliances of a user is acquired through a smart electricity meter. Load elastic time of the user is identified according to different time scales and different external environments, and more accurate user electricity consumption analyzing result is acquired. The analyzing method provided by the invention combines factors including user family conditions,environment factors and the like. The accuracy of the acquired user electricity consumption structure analyzing result is improved and a more scientific data support is provided for planning and execution of schemes such as power grid performance reconstruction and the like.

The invention provides power transmission and transformation equipment external insulation anti-pollution flashover performance evaluation and early warning methods and systems. With a geographical location as a reference framework, the relationship among power transmission and transformation equipment, a pollution area distribution map and an anti-pollution flashover configuration creepage distance range is built, and the power transmission and transformation equipment external insulation anti-pollution flashover performance evaluation in a current environment is carried out. The power transmission and transformation equipment external insulation anti-pollution flashover performance evaluation method comprises steps: power transmission and transformation equipment anti-pollution parameters are extracted, wherein the anti-pollution parameters comprise power transmission and transformation equipment measurement data and power transmission and transformation equipment attribute data; the corresponding relationship between a pollution area distribution map and an area of the power transmission and transformation equipment is built, and the environmental pollution grade of the area of the power transmission and transformation equipment and the corresponding anti-pollution flashover configuration creepage distance range are acquired; and according to the power transmission and transformation equipment anti-pollution parameter data, the pollution grade of the area of the power transmission and transformation equipment and the corresponding anti-pollution flashover configuration creepage distance range, power transmission and transformation equipment anti-pollution flashover performance evaluation is realized. The methods and the systems of the invention can be used for guiding maintenance and updating of the power transmission and transformation equipment, hidden power utilization dangers in a power grid are eliminated, the manpower cost is saved through an automatic scheme, and the market value is important.