31results about How to "Rich data base" patented technology

The invention discloses an urban renewal effect evaluation method based on real estate big data, which includes: first constructing an IP proxy pool, a collection channel pool, and traffic load balancing according to corresponding construction principles, and through the IP proxy pool, collection channel pool, and traffic load balancing Cleans, merges, updates and collects the data of the same object from different channels; takes housing surveying and mapping information as the core basic information, uses the name method and address method to process the collected data and conduct data mining to obtain the urban renewal performance evaluation model Metadata used; build a real estate-driven urban renewal performance analysis and evaluation model, use the obtained metadata for statistical analysis to obtain an index system suitable for urban renewal performance evaluation and analysis, and display the indicators on mobile terminals through data visualization data. The invention reflects the gradual evolution and effect of urban form and governance from time and space, and can provide decision-making basis for the long-term sustainable development of the city.

The invention discloses an abnormal data detection and modification method based on a numerical value relevance model. The method includes the following steps that first, abnormal data judgment conditions are defined by a display module and stored into a source indicator database; second, a data access layer traverses service indicator data in the source indicator database, judges whether the service indicator data meet the abnormal data judgment conditions or not and displays the service indicator data meeting the abnormal data judgment conditions in the display module, and meanwhile the third step is executed; third, the service indicator data meeting the abnormal data judgment conditions are modified by a service logic module, and the modified data are stored into the source indicator database according to needs. The abnormal data detection and modification method based on the numerical value relevance model greatly improves accuracy of service data of a power grid and accuracy for calculating statistical data groups, makes the statistical analysis result more reliable and provides favorable data support for enterprises in the respects of investment evaluation, benefit analysis and the like.

The invention belongs to the technical field of plant molecular identification, in particular to a method for identification of strains based on a Dunaliella core gene sequence. The method mainly includes: sample collection, purification and culture; whole genome DNA extraction; construction of DNA sequencing library; acquisition of whole genome sequencing data of the algal strain to be tested and Dunaliella quartolecta; screening and de novo assembly of the core genome sequencing fragment of Dunaliella D. quartolecta , perform gene composition, protein function annotation and genome contig collinearity analysis on the assembled core genome sequence; use single nucleotide polymorphism to construct a phylogenetic tree, when the algal strain to be tested and Dunaliella tetraloba are clustered together, And the data support rate of the branch is between 0.99 and 1.00, and the percentage of genetic similarity is greater than or equal to 99%. The algal strain to be tested is D.quartolecta.

The invention discloses a fault handling method for a distribution network including a distributed power source. The fault handling method is characterized by including the steps of firstly, performing fault location, namely monitoring all remote signal displacement information in the distribution network, selecting fault signals existing in the distribution network according to starting conditions, starting fault analysis if faults are acquired, and performing fault location according to a location analysis method of directional signals; secondly, performing fault isolation, namely performing fault isolation analysis according to the principle of least power loss of load, and providing an isolation strategy; and thirdly, performing fault recovery, integrating the distributed power source into a fault recovery decision under the premise of complying with related rules and standards, and increasing power reliability of the distribution network while fully utilizing the distributed power source. By the fault handling method for the distribution network including the distributed power source, accurate location and quick isolation are provided for faults of the distribution network including the distributed power source, and accordingly fault recovery of the distribution network and adjustment of operation manner after recovery are achieved.