37 results about "Data drilling" patented technology

The invention relates to a configurable multidimensional dynamic data graph group association method. According to the method provided by the invention, a group of associated dimension graphs simultaneously show multiple dimensions of a data cube; by clicking one dimension graph, other associated dimension graphs can vary correspondingly according to the clicked content; each dimension graph may perform up and down data drilling, and meanwhile, other associated dimension graphs can vary according to the content of up and down drilling. A configuration file used in the method comprises a back-end data cube description file, a front-end associated graph group description file and an instrument panel description file; and a back-end data logic, a front-end multidimensional associated graph group and an instrument panel page layout are decoupled. The method described in the invention may be applied in an OLAP system and a commercial intelligent system.

The invention provides a data drilling device and a data drilling method. The data drilling device comprises a data setting unit, a parameter processing unit and an inquiry processing unit. The data setting unit is used for grouping fields in a report, selecting a main field in each group, setting a page address and a fixed parameter for each field; the parameter processing unit is used for obtaining the value of the main field in the field group with a field selected by a user as a dynamic parameter corresponding to the field selected by the user after the user selects the value of any field in the report and sends a drilling request; and the inquiry processing unit is used for generating inquiring conditions according to the fixed parameter and the dynamic parameter corresponding to the field selected by the user, and inquiring the report with the page address corresponding to the field selected by the user, thereby completing drilling. By adopting the technical scheme, different field data can be drilled, the association with the fields in other reports can be realized through the main field in the field group, and the report drilling can be simplified.

The invention discloses a multidimensional data model modeling method of a power grid regulation and control integration system. An existing relation model of the power grid regulation and control integration system is seamlessly converted into a multidimensional data model for supporting follow-up multidimensional observing, data drilling, complicated multidimensional data set calculating and the like. Relevant standards are formed in the multidimensional data model modeling process, and it is of great significance to promote scientific development of a power grid and increase the management level of the power grid.

The invention, which relates to the technical field of an electric parameter measuring method, discloses a multi-dimensional analysis method for a voltage qualified rate. The method comprises: a corresponding indicator diagram and a data list of voltage detection data are displayed according to a type dimension, a unit dimension, and a measuring point dimension; crossed fine granularity data drilling and displaying are carried on the voltage detection data with different dimensions; and unqualified voltage data after drilling and displaying are placed into an abnormal data stack in a centralized mode and centralized prompting is carried out, the qualified voltage data are compared with the total voltage data to obtain a ratio value, and then a voltage qualified rate is calculated. According to the method provided by the invention, inquiring and statistics of situations of different voltage levels and different regional voltages are realized and warning of lines or courts with qualified voltage rates not meeting standards is carried out, so that voltage situations of all lines and courts can be mastered comprehensively and thus power supply reliability can be guaranteed.

The invention relates to the field of electric power data analysis, in particular to a self-service analysis method and system for power technology supervision data, a storage medium and computer equipment, and the method comprises the steps: determining a data source and a wide table field of the data source; structuring the data of the data source, constructing a technical supervision data standardization database, and forming a standard data wide table with a unified format; performing data atomization analysis matrix processing, and carding the data according to the business meaning to obtain structured data; extracting the data, carrying out atomization splitting on the data table to be analyzed to obtain an atomization matrix table, and carrying out multi-dimensional one-by-one carding on each index of the atomization matrix table to obtain an analysis point matrix table; and carrying out dynamic multi-dimensional self-service analysis based on the analysis point matrix table andthe analysis tool. According to the invention, business personnel can carry out self-service combined analysis, multi-dimensional data drilling and exploration analysis are realized, and the workingefficiency and the data insight capability are improved.

In accordance with the teachings of the present invention, a method of data drilling is presented. A network database is deployed in a network, such as the Internet, for broad-based user access. Network information is stored in the network database and is organized in layers. A graphical user interface with data objects is presented to an end user. Selecting a data object generates a query performed by a server. Each query produces more details on an initially selected data object.

The invention provides a visual dragging online data processing method and system. According to the visualized dragging online data processing method and system, visualized modeling processing and self-service analysis processing can be carried out on the structured data, the semi-structured data and the unstructured data at the same time; and different types of charts are generated according to the different types of data, so the data application operation of at least one of data image selection, data binding, data screening and data drilling can be directly completed in a dragging operationmode, thereby greatly improving the efficiency and accuracy of processing the different types of data.

The invention provides a topic mode based cross-business calculation and analysis system for a power system. The cross-business calculation and analysis system comprises a parameter and element management module used for friendly management of parameters and elements, a topic definition module that defines different topics according to business demands and realizes complicated power system cooperative calculation, a topic scheduling module that realizes all functions and optimization scheduling of the topics through a scheduling algorithm, a data sharing module that realizes data sharing of the modules, a memory database used for storing result data, elements and parameters, and a visual display module that visually displays the result data, performs comparative analysis on similar data and performs correlation analysis and data drilling on concerned data. The cross-business calculation and analysis system is oriented to business topics, realizes cross-specialty and cross-department business fusion, adopts a structure formed by originally fusing a plurality of single applications of the power system together according to business logic, and automatically generates fault information in a guide window manner, thereby greatly lowering the difficulty in fault data writing.

The invention relates to a comprehensive processing method and system for collected data, a storage medium and electronic equipment. The method comprises the following steps: extracting data elementsin a plurality of acquisition databases; presetting a column normal form rule in the fusion database, wherein the extraction of the data elements in each acquisition database is obtained by performingdata mapping based on a column normal form rule in a preset fusion database; fusing the extracted data elements to form merged data of the acquisition object, and constructing a fusion database according to the merged data; processing and analyzing the data in the fusion database, and setting dimensions and hierarchies during data drilling, wherein during data analysis, layer-by-layer deep viewing is performed on the data by changing the dimension strength, so that upward drilling and downward drilling of the data are realized. According to the embodiment of the invention, the user can process the data more conveniently and quickly, the user can understand the data more deeply, and problems can be found more easily, so that a correct decision is made.

The invention discloses a data transmission method based on an SD-WAN system, which can realize a data drilling function while reducing the network bandwidth and controlling the storage space of terminal equipment, and comprises the following steps: acquiring to-be-transmitted data within a first preset time interval; obtaining a plurality of predetermined levels, each two adjacent predetermined levels being in a superior-subordinate relationship; for each predetermined hierarchy in the plurality of predetermined hierarchies, counting first target data belonging to the predetermined hierarchyfrom the to-be-transmitted data to obtain a layering result, the data volume of the layering result being smaller than the data volume of the to-be-transmitted data; determining a transmission tunnelfor realizing interaction between the client terminal equipment and the control terminal equipment in the SD-WAN system; and transmitting the layering result to the control terminal equipment throughthe transmission tunnel. The invention further provides a data processing method based on the SD-WAN system, client terminal equipment, control terminal equipment, the SD-WAN system, computer equipment and a computer readable storage medium.

The invention discloses a data intelligent analysis visualization system and method. The system comprises a data transmission module, a database visualization module, a report design module, an intelligent interaction analysis module, a data structure feedback module and a data visualization display screen module. The system is reasonable in design, sorting can be carried out based on query results, sorting is carried out based on dimensions of the system, sorting is carried out on dimensions based on sizes of summary indexes, sorting is carried out based on formula values, and data results are sent to a data visualization display screen through a multi-dimensional analysis unit and a drilling analysis unit. On the basis of an overall big data architecture, step-by-step data drilling and computational analysis are carried out through a drilling analysis unit to obtain corresponding underlying data, results of various single tables are selected and placed in the same area through a result splicing mode, formula operation and display are carried out according to the results, and multiple complex tables are obtained; report links can be established for combination and association to obtain various associated reports.

The invention relates to a platform Internet of Things information technology. The platform Internet of Things information technology is characterized in that related information is effectively collected, collated, analyzed and collected through a mobile device and other tools, and accurate and effective consumption information is extracted through data drilling and data mining. The platform Internet of Things information technology breaks through the information isolated island formed by isolated vertical shaft type application architecture, standard system architecture is provided for Internet of Things application, a powerful Internet of Things platform application easy to extend serves as a supporting platform, the development cost, the servicing and operating cost and the maintaining cost of the Internet of Things service application are obviously reduced, the platform functions are adjusted and increased through the advanced and mature software and hardware technology complying with international standards, and a firm safety guarantee is provided for the Internet of Things application.

The invention discloses a copper plating additive production process, and relates to the technical field of electroplating production of circuit boards. The copper plating additive production process comprises the following steps: S1, blending a crystal grain refiner, a high-current density area additive and a low-current density area covering power enhancer according to proportions and quantifying the each reagent by using a weighing device, and mixing and stirring the raw materials to obtain initial solution A; S2, removing burrs of raw materials of the circular board by using a deburring machine, and separately drilling a via hole and an HDI blind hole on a point circuit board by using a data drilling machine; and S3, selecting a part of initial solution A to execute a hull cell experiment on the initial solution A; and detecting the large current representation and the addition amount of copper sulfate pentahydrate. According to the production process disclosed by the invention, by using the copper-plating additive, the cell liquid temperature, the hole conditioning capability, the copper plating time, the deep plating capability and the hole filling capability of the additive in electroplating working period can be improved, and the defect of the poor effect of existing copper-plating additives is overcome.

The invention discloses a data drilling method. The data drilling method comprises the steps of obtaining a plurality of nodes, and determining chart description information of each node; establishingat least one drilling path, and determining drilling path information of each node; storing each node with the corresponding chart description information and the corresponding drilling path information as node description information of the node; receiving a query instruction, and establishing a data query structure according to the query instruction; searching a drill-down data query result ofthe current node in a database according to the data query structure; and searching a drill-up data query result of any node in a database according to the data query structure. According to the datadrilling method, the corresponding node description information can be set for each node on the drilling path according to the business requirements, the visualization performance of the drilling result is improved, and a user can check the data drilling result more efficiently and conveniently through a visualization mode.

The invention belongs to the technical field of tunnel monitoring, and particularly relates to a point location selection method and system for tunnel risk monitoring, and the system comprises a terrain collection unit, a simulation unit, an input unit, an analysis unit and a real-time collection unit. The terrain acquisition unit is used for acquiring terrain data inside and outside a tunnel, and the simulation unit is used for performing BIM modeling according to the terrain data to obtain a tunnel basic model; the input unit is used for inputting survey data of a tunnel, and the survey data comprises geological survey data, geophysical prospecting data, drilling data and surveying and mapping data; the simulation unit is also used for combining the survey data with the tunnel basic model to obtain a tunnel simulation model; and the analysis unit is used for performing regional analysis and point location analysis on the tunnel simulation model, obtaining a basic monitoring point location according to the point location analysis, obtaining a special monitoring region according to the regional analysis, and obtaining a special monitoring point location. According to the invention, a proper tunnel monitoring point position can be selected.

The invention discloses a data drilling method. The method comprises the following steps: receiving a json character string sent by a request end by a proxy server; obtaining a name and a keyword starting subscript of an input parameter corresponding to the json character string, and storing the name and the keyword starting subscript as metadata corresponding to the json character string; serializing the json character string to obtain a data packet in a json format; and when a data drilling function is triggered, drilling target data according to the metadata and the data packet. The invention further discloses a proxy server, a service calling system and a computer readable storage medium, and the effect of improving the compatibility of the system data drilling scheme is achieved.

The embodiment of the invention provides a data drilling method and device. The method comprises the following steps of: obtaining a target object, the method comprises the following steps: firstly, obtaining a plurality of to-be-drilled target data, wherein the plurality of pieces of target data have corresponding data dimensions; wherein, a dimension value corresponding to the data dimension is recorded in each piece of target data; the method comprises the steps of obtaining a plurality of pieces of target data, then determining enumerable dimensions in all data dimensions corresponding to the plurality of pieces of target data in a data mining mode, determining a hierarchical relationship among all the enumerable dimensions, and finally drilling the plurality of pieces of target data layer by layer based on the enumerable dimensions and the hierarchical relationship among all the enumerable dimensions.

The invention discloses a vehicle insurance risk control pricing model method based on deep learning, and the method comprises the following steps: 1, a user inputs vehicle information, including vehicle element information such as a license plate number, a brand, a model, a vehicle initial registration date and the like; 2, the system automatically complements the information such as the frame number and the VIN code, and a professional worker checks the correctness of the information such as the frame number and the VIN code; 3, the user inputs the mileage of the vehicle, and checks the mileage of the vehicle by a special worker; 4, in consideration of information security, fields in the middle need to be subjected to desensitization display. According to the invention, data drilling is carried out around four dimensions of "people, vehicles, behaviors and historical compensation", through a big data analysis technology and a machine learning algorithm, the risk of a vehicle accident is accurately predicted in an omnibearing and three-dimensional manner, a "risk score" is generated, and the higher the score is, the higher the compensation risk is, so that vehicle insurance risk control pricing is more reasonable.

The invention discloses a data drilling method and device, a server and a storage medium. The method comprises the following steps: selecting drilling indexes from a determined to-be-drilled text according to a pre-constructed data dictionary, and determining a causal information combination associated with the drilling indexes; determining an arrangement index value of each causal information combination, and sorting each causal information combination according to each arrangement index value; and determining target causal information corresponding to the drilling index according to the sorted causal information combination in combination with a set causal screening strategy. According to the technical scheme, on the basis that the causal information combination of the drilling indexes is obtained based on the data dictionary, the final target causal information is obtained in combination with the causal screening strategy, and compared with the prior art, a set of method capable of automatically analyzing and giving the result reason according to the business data is provided; a powerful reference basis can be provided for a business analyst during business data analysis, so that the accuracy and efficiency of business data analysis can be improved.

The invention provides a data drilling method, a device and a server. The method comprises the following steps: acquiring the data of the current layer when a drilling request for the data of the current layer is detected; Reading a drill-through statement for the current layer data; Wherein the drill-through statement comprises a data source command and a drill-through parameter extraction command; Extracting drilling parameters from the current layer data according to the data source command and the drilling parameter extraction command; Generating a standard SQL statement including the drill-through parameters by using the data source command and the extracted drill-through parameters; And displaying a drill-through result according to the standard SQL statement and the pre-configuration of the current layer data. The data drilling method provided by the invention can perform data drilling more flexibly according to requirements by separately configuring drilling statements for datafrom different data sources and further generating standard SQL statements.

The invention relates to a data query method and system and electronic equipment. The method comprises the following steps: firstly, every preset time period, a plurality of result data tables are generated from the data of the relational database according to different service types, a plurality of result data tables are periodically updated; more data can be stored in a plurality of latest result data tables; when a query request sent by a user through a client is received, target data is queried from a plurality of newly generated result data tables according to the query request, and the queried target data is fed back to the client of the user, so that the data in the relational database at the bottommost layer does not need to be compared one by one, and data drilling is also not needed. Compared with a mode of directly querying from a relational database, the query efficiency of the method and the device provided by the invention is at least improved by 5 times, and the user experience is improved.

The invention discloses a power grid accident grade judgment method and a power grid accident grade judgment system based on multilayer data drilling. The method comprises the steps of inputting geographic region layer data and operation standard layer data, and forming a reference database; acquiring power grid operation information layer data in real time, and screening power grid accident datain an abnormal state; judging the geographic region layer data, the power grid operation information layer data and the operation standard layer data of the power grid accident to be analyzed respectively; outputting an accident level according to a judgment standard in the operation standard layer data. According to the invention, a multilayer data drilling technology is adopted. The number of other data nodes which can be connected with any data node in the multi-layer data organization mode is obviously increased. Any data node under the multi-layer data structure can generate interactive connection with the upper-layer data, the same-layer data and the lower-layer data. Under the multi-layer data structure, the priority of data requests sent by the upper-layer data is high. Therefore,it is guaranteed that the execution efficiency of important data collection and response tasks is obviously improved.

The invention provides an effective complex report parsing engine and a parsing method thereof. One-by-one dynamic parsing can be performed according to a data source, an aggregate function, a grouping function, a calculation expression, an attribute expression, a display expression, a statistical graph expression and the like configured in a report template rule through grouping algorithm parsing, multi-source crossover algorithm parsing and dynamic inter-chip parsing, so that the effective complex report parsing engine of data acquisition, grouping, summary, inter-chip data calculation, statistical graph data drilling and the like of a report is finished. A calculated data report can be finally generated by the engine method. A report required by a user can be rendered by sending the data report to a front-end report display tool and can be exported. The application requirement of manufacturing a complex report without programming is met.

The invention discloses a data drilling method which comprises the following steps of S1, receiving and analyzing a user request, and generating N layers of drill-down lists, N being a positive integer greater than or equal to 1; S2, according to the drill-down lists, obtaining and analyzing the drill-down data of each layer from the first layer in a layer-by-layer manner until the N-th layer is ended; and S3, processing the obtained data, generating the format data meeting the front-end direct display requirement, and returning the format data to a user. The invention further provides a data drilling system. According to the present invention, data are drilled layer by layer by using the layered drill-downs, and the data drilling efficiency is effectively improved.

The invention relates to a platform Internet of Things information technology, which is characterized in that the technology effectively collects, arranges, analyzes and gathers related information through tools such as mobile equipment, and extracts accurate and effective consumption information through data drilling and data mining. The technology breaks through the'information island 'formed byan isolated'shaft type' application architecture; a standard system architecture is provided for the application of the Internet of Things; A powerful and easily-extensible internet of things application is used as a supporting platform, the development cost, the service operation cost and the maintenance cost of the internet of things service application are remarkably reduced, advanced and mature software and hardware technologies conforming to the international standard are adopted to adjust and increase platform functions, and a solid safety guarantee is provided for the internet of things application.

The invention discloses a data drilling method. The method comprises the following steps that receiving request data sent by a request end by a proxy server; converting the data format of the requestdata from an initial format to a target format; and drilling target data based on the request data after data format conversion. The invention further discloses a proxy server, a service calling system and a computer readable storage medium, and the effect of improving the compatibility of the system data drilling scheme is achieved.

The invention, which relates to the technical field of an electric parameter measuring method, discloses a multi-dimensional analysis method for a voltage qualified rate. The method comprises: a corresponding indicator diagram and a data list of voltage detection data are displayed according to a type dimension, a unit dimension, and a measuring point dimension; crossed fine granularity data drilling and displaying are carried on the voltage detection data with different dimensions; and unqualified voltage data after drilling and displaying are placed into an abnormal data stack in a centralized mode and centralized prompting is carried out, the qualified voltage data are compared with the total voltage data to obtain a ratio value, and then a voltage qualified rate is calculated. According to the method provided by the invention, inquiring and statistics of situations of different voltage levels and different regional voltages are realized and warning of lines or courts with qualified voltage rates not meeting standards is carried out, so that voltage situations of all lines and courts can be mastered comprehensively and thus power supply reliability can be guaranteed.

The invention provides a bill metering detail processing method and device, electronic equipment and a storage medium, and the method comprises the steps: determining first bill data in a bill page, the bill page comprises a plurality of pieces of bill data, and the first bill data is any one piece of bill data in the plurality of pieces of bill data; and executing data drilling operation on the first bill data to obtain metering details associated with the first bill data. Through the scheme, the problems of high time cost and low accuracy of bill data checking under the condition that the bill data relates to multiple departments or multiple systems in the prior art are solved.

The invention belongs to the technical field of slope monitoring, and in particular relates to a monitoring point selection method and system for slope risk monitoring. The system includes a terrain acquisition unit, a simulation unit, an input unit, an analysis unit and a real-time acquisition unit; It is used to collect slope terrain data; the simulation unit is used for BIM modeling according to the collected slope terrain data to obtain a slope model; the input unit is used to input the survey data of the slope; the survey data includes geological survey data, geophysical data, drilling data and surveying and mapping data; the simulation unit is also used to combine the entered survey data with the slope model to obtain a simulation model; the analysis unit is used to perform point analysis on the simulation model to obtain monitoring points; the real-time acquisition unit is used to collect monitoring points The real-time data of the slope is obtained; the analysis unit is also used to analyze whether to update the monitoring point position according to the real-time data of the slope and the simulation model. The present application can select suitable slope monitoring points.