33 results about "Drill down" patented technology

The invention discloses a fault positioning method, device and equipment and a computer program product, and relates to the technical field of computer software, and the method comprises the steps: carrying out the anomaly detection of a to-be-detected business system, and obtaining a plurality of pieces of anomaly information; analyzing the multiple pieces of abnormal information to obtain an abnormal association relationship; and identifying the abnormal association relationship, and performing layer-by-layer recursive positioning of a fault cause according to the obtained abnormal topological relationship until analysis of each layer in the abnormal topological relationship is completed. The abnormal information in the service system is detected in real time, and data support is provided for fault positioning. By analyzing the abnormal association relationship between the abnormal information and further identifying the abnormal topological relationship, the service influence range can be identified. And according to the topological relation, recursively drilling down to a downstream service and resource level layer by layer until the root cause of the fault is positioned, so that the fault type and the fault point position are accurately positioned, and guarantee is provided for service continuity.

A system and method are provided for feature engineering. The method may include obtaining data from a plurality of data sources. The method may also include generating, based on the data, features for training machine learning models using a single data pipeline that uses a feature generation logic that is separate from an execution logic. The method may also include generating, based on relations and / or joins in the feature generation logic, metadata for explaining the features, and generating, based on the metadata, lineage information representing a mapping of one or more features to intermediate tables and / or input tables. The method may also include displaying the lineage information representing the mapping, including allowing a user to select and / or drill down different features, intermediate tables and / or input tables. The method may also include storing the features and the metadata for the features to a feature store.

In embodiments of field value search drill down, a search system exposes a search interface that displays one or more events returned as a search result set. A field-value pair can be emphasized in the field-value pairs of an event displayed in the search interface, and a menu is displayed with search options that are selectable to operate on the emphasized field-value pair of the event. The menu includes the search options to add search criteria of the emphasized field-value pair to a search command in a search bar of the search interface, exclude the search criteria of the emphasized field-value pair from a search, or create a new data search based on the emphasized field-value pair. A selection of one of the search options in the menu can be received, and the search command in the search bar is updated based on the search option that is selected.

This invention discloses a hierarchical public data visualization retrieval system and method based on crowdsourcing analysis and data standardization. The system includes: a crowdsourcing analysis platform for receiving and reviewing feature indicators extracted from public data by expert users; a data standardization module for performing unified exchange rate conversion and reporting period standardization on financial data to ensure data comparability; an indicator calculation module for calculating individual development indicators according to specific formulas; an index generation module for generating individual development indices, regional development indices, and global development indices based on benchmark values, and generating macro-trend charts; a multi-level index database for storing multi-level data and external links; an interactive response module for responding to chart click events and drilling down to obtain detailed data; a data display module for generating the next level of charts; and a context-aware navigation module for automatically navigating to preset external information sources based on user-selected function tags and entity clicks in the charts. This invention lowers the barrier to data utilization through crowdsourcing, ensures the comparability of global data through standardization, and achieves seamless and efficient retrieval and navigation from macro trends to micro information.

1. The name of the product of this design: A graphical user interface for displaying details of equipment alarm data on a computer. 2. Purpose of this design product: used to display a graphical user interface. 3. The key design point of this design product lies in the graphical user interface of this design product. 4. The picture or photo that best illustrates the key points of the design: main view. 5. The design focus of this product is on the operation interface, and the rear, left, right, top and bottom views are omitted. 6.Purpose of the graphical user interface: used to display equipment alarm data details. 7. Human-computer interaction mode of the graphical user interface: The main view is the device list page, which displays the statistics and overview of the alarm monitoring status of all the enterprise's devices; hover the mouse cursor over the red square pattern in the third row and fifth column of the main view to enter the interface status change diagram 1; click the red square pattern in the third row and fifth column of the interface status change diagram 1 to enter the interface status change diagram 2; hover the mouse cursor over the third red square pattern from left to right in the interface status change diagram 2 to enter the interface status change diagram 3; click the third red square pattern from left to right in the interface status change diagram 3 to enter the interface status change diagram 4; click the "Next" button in the interface status change diagram 4 to enter the interface status change diagram 5.

1. Name of the product in this design: Graphical User Interface for Credit Customer Fund Flow in Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: Used to display a graphical user interface. 6. Graphical user interface for human-computer interaction: used by bank loan management managers to monitor the flow of funds of credit customers within the bank and their upstream and downstream relationships. The product interface mainly consists of tables, bar charts, and line charts. Users can view the comparison of inflow and outflow of funds for credit customers, the comparison of inflow and outflow customers, the ranking of inflow and outflow business types, and credit customer alerts on the same page. On the one hand, you can enter the year and month, customer number, customer name, and account manager to click and query to obtain relevant information about the credit customer. On the other hand, you can also click on the details of payment changes, customer ranking details, business type ranking, and alarm data to drill down to detailed data.

The invention relates to the field of dangerous goods early warning display, and particularly discloses a map display method and system for risk early warning of a chemical industrial park, a terminal and a medium, and the method comprises the steps: drawing a park region, an enterprise region and a device region on a map through a map mouse drawing library, generating a latitude and longitude set of each region, and storing the latitude and longitude set in a database; storing the longitude and latitude set of each region in a unified format; on the basis of the stored regional latitude and longitude set, page drawing is carried out in combination with a GIS engine, a page comprises a park graph layer, an enterprise graph layer and a device graph layer which are drilled down step by step, and the page is configured to communicate with a rear end in a Websocket mode; receiving risk data accessed by a rear end through a multi-party data source, including receiving field temporary risk data accessed by the rear end through a mobile terminal; and carrying out risk labeling on a map page through the latitude and longitude of the risk position, and displaying different early warning states according to the risk level. The dynamic risk event is responded in real time, the data sharing cost is reduced, and the risk positioning capability is improved.

In embodiments of field value search drill down, a search system exposes a search interface that displays one or more events returned as a search result set. A field-value pair can be emphasized in the field-value pairs of an event displayed in the search interface, and a menu is displayed with search options that are selectable to operate on the emphasized field-value pair of the event. The menu includes the search options to add search criteria of the emphasized field-value pair to a search command in a search bar of the search interface, exclude the search criteria of the emphasized field-value pair from a search, or create a new data search based on the emphasized field-value pair. A selection of one of the search options in the menu can be received, and the search command in the search bar is updated based on the search option that is selected.

The application discloses a big data processing method for biological medicine industry development diagnosis, and specifically comprises the following steps: extracting required biological medicine industry multi-source data according to a biological medicine industry development diagnosis index system; formatting data with different formats into unified standard specification data according to biological medicine industry index standardization specifications; performing diagnosis analysis layer by layer and index by index according to biological medicine industry development diagnosis index system information; presenting biological medicine industry development diagnosis results to users through a man-machine interaction interface, and drilling down to display diagnosis results of specified levels according to user selected item information. The application solves the problems of biological medicine industry data regularization, diagnosis index analysis operation automation, diagnosis result presentation personalization and the like, and provides a feasible solution for intelligent and accurate industry development diagnosis by using multi-source, multi-type and multi-format biological medicine industry data element information.

This application discloses a data processing method, apparatus, computer device, and storage medium. The method includes processing a data visualization request including a business scenario sent by a user; determining an encrypted data table and an encrypted dynamic table corresponding to the business problem based on the business scenario; constructing a dynamic view of encrypted data with N levels based on the encrypted data table and the encrypted dynamic table; drilling down through the N levels using an aggregation algorithm corresponding to the business problem to obtain drilldown results for each of the N levels; and displaying a blockchain data visualization interface based on the encrypted data corresponding to the drilldown results. In this way, when executing the data visualization request, encrypted data authorization is completed without user intervention, enabling the use of encrypted data on the blockchain, thereby ensuring the integrity of the content displayed in the visualization interface.

The invention relates to the technical field of pile foundation construction, and discloses a mixing pile extension rod type drill rod construction data intelligent processing system which comprises a data acquisition module, a macroscopic construction working condition recognition module, a microscopic geological state sensing module and a multi-mode dynamic coupling control module. The macroscopic construction working condition identification module determines macroscopic working conditions such as drilling, rod connecting or stirring lifting modes of construction in real time according to drill rod depth data, slurry pump starting and stopping states and the like. And when the stirring lifting mode is determined, the microscopic geological state sensing module is activated, and the microscopic geological state is determined as an overload trend, a load loss trend or a steady state interval and the like according to comparison between the power head current data and a preset target interval. Through layered sensing and dynamic coupling control, self-adaptive closed-loop adjustment of the construction process is achieved so as to deal with geological uncertainty, and the uniformity of the finally formed pile body in the aspect of physical performance can be improved.

Embodiments disclosed herein describe systems and methods to generate statuses of higher level integrated logical clusters from one or more output files generated by the clusterwares of a plurality of lower level physical clusters. The systems and methods provide an interactive dashboard graphical user interface (GUI) rendering the statuses of the higher level logical clusters. In response to a drill down selection by the system administrator, the systems and methods may render resource level statuses of the plurality of resources forming the higher level logical cluster. Therefore, by using a single dashboard, a system administrator can seamlessly transition between statuses at different level of abstractions for multiple resources distributed across multiple geographically diverse datacenters. Furthermore, the dashboard allows the system administrator to perform failover operations.

The invention discloses an economic data information statistical system based on artificial intelligence. The economic data information statistical system comprises a data acquisition device, an edge computing server, a holographic visualization terminal and a self-adaptive communication network, the commercial district node performs wide-area scanning on a consumption thermograph through an infrared thermal sensing unit, and the industrial district node directionally monitors the state of equipment by using a voiceprint sensor array; the edge server performs parallel processing on multi-source data through a heterogeneous computing module, and constructs a consumption-production dynamic association model; the holographic terminal drives the diffractive optical assembly to project three-dimensional economic indexes through the mechanical arm, and gesture interaction is supported to drill data details; a support table mechanism and a counterweight mechanism of the data acquisition device cooperatively guarantee scanning stability, a quick release interface realizes quick replacement of a sensor module, and a bin gate structure automatically protects core components. Through deep fusion of electromechanical integration design and AI analysis, the cross-domain data space-time alignment problem is solved, and the real-time performance, reliability and decision-making efficiency of economic monitoring are improved.

1. The name of the design product: graphical user interface of tax data drilling view of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface in the electronic device. 4. The picture or photo that best shows the design points: design 1 interface change state diagram 4. 5. The electronic device of design 1-design 2 is the usual design, and other views of design 1-design 2 are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the product interface of design 1-design 2 is the interface for tax data drilling view display and interaction; the interface is used to present the drilling data of the report interface data, help users view the data source; the main view interface of design 1 is the interactive interface of the report data page; in the main view interface of design 1, after clicking the cell (for example: 77,182,174.08), the data details are displayed above, showing design 1 interface change state diagram 1; in design 1 interface change state diagram 1 interface, after clicking the right "traceability" icon, the traceability data panel pops up, showing design 1 interface change state diagram 2; in design 1 interface change state diagram 2 interface, after hovering over the data card, the detailed business information of the data is presented, showing design 1 interface change state diagram 3; in design 1 interface change state diagram 3 interface, after clicking the data, the lower layer data appears, showing design 1 interface change state diagram 4; in design 1 interface change state diagram 4 interface, clicking the right switch of the data to view detailed data, showing design 1 interface change state diagram 5; the main view interface of design 2 is the interactive interface of the report data page; in the main view interface of design 2, after clicking the cell (for example: 77,182,174.08), the data details are displayed above, showing design 2 interface change state diagram 1; in design 2 interface change state diagram 1 interface, after clicking the right "traceability" icon, the traceability data panel pops up, showing design 2 interface change state diagram 2; in design 2 interface change state diagram 2 interface, after hovering over the data card, the detailed business information of the data is presented, showing design 2 interface change state diagram 3; in design 2 interface change state diagram 3 interface, after clicking the "data details" switch, design 2 interface change state diagram 4 is displayed; in design 2 interface change state diagram 4 interface, after clicking the upper right corner "detailed display", all data cards are displayed, showing design 2 interface change state diagram 5.

A system and method are provided for feature engineering. The method may include obtaining data from a plurality of data sources. The method may also include generating, based on the data, features for training machine learning models using a single data pipeline that uses a feature generation logic that is separate from an execution logic. The method may also include generating, based on relations and / or joins in the feature generation logic, metadata for explaining the features, and generating, based on the metadata, lineage information representing a mapping of one or more features to intermediate tables and / or input tables. The method may also include displaying the lineage information representing the mapping, including allowing a user to select and / or drill down different features, intermediate tables and / or input tables. The method may also include storing the features and the metadata for the features to a feature store.

The application discloses a fault positioning method, device, equipment and computer program product, and relates to the technical field of computer software, and the method comprises the following steps: performing abnormality detection on a to-be-detected business system to obtain a plurality of abnormality information; performing analysis on the plurality of abnormality information to obtain abnormality correlation; identifying the abnormality correlation, and recursively positioning a fault cause according to the obtained abnormality topology relationship until the analysis on each layer in the abnormality topology relationship is completed. The application detects abnormality information in a business system in real time, and provides data support for fault positioning. By analyzing abnormality correlation between abnormality information and further identifying abnormality topology relationship, a business influence range can be identified. Then, according to the topology relationship, drilling down to a downstream service and resource layer is recursively performed layer by layer until a root cause of the fault is positioned, so that a fault type and a fault point position can be accurately positioned, and the continuity of the business is guaranteed.

The embodiment of the invention discloses a drill-down analysis method, device and equipment based on a user movement line. The scheme comprises the following steps: for a current service, analyzing a service log of a service execution user, and extracting to obtain a corresponding first user behavior chain; performing service semantic association on the first user behavior chain and the current service through a plurality of preset service dimensions to obtain a second user behavior chain; aiming at the second user behavior chain, extracting a corresponding key parameter, extracting a corresponding business loss logic feature according to the key parameter, and determining a target user with business loss in the business execution users according to the business loss logic feature; and performing drill-down analysis based on the first user behavior chain corresponding to the target user, and extracting to obtain a corresponding path feature.

A computer system and method for financial management and estate planning. The system provides data aggregation for both financial and non-financial assets to create a “virtual vault” from which the owner can view all information about his / her portfolio. In some embodiments, the system provides a tree visualization of the portfolio, which allows a structured organization that provides both a high level view and the ability to drill down to an in-depth analysis. In some cases, the system provides segmented permissions in which restricted access could be granted based on module and / or asset in the tree visualization.

To improve testing, analyses and processing by integration between a software interface and an instrumentation device and equipment associated with a process.SOLUTION: A method of interactively navigating a user through a path of menu choices on a user interface may include displaying a current menu of choices on a first portion of a user interface display. The user interface allows for selecting of a menu item from the current menu of choices and to drill down through levels of menu choices based on selecting a menu item from a prior level of menu choices. A second portion of the user interface display presents past selected and past unselected menu items of the drilled-down levels.SELECTED DRAWING: Figure 2E

A system queries for entity data of a user from a first data source. The system displays a display panel in a user interface (UI), the display panel including measurement metrics for an account entity of the user from the entity data of the first data source. The system determines mode chaining information that specifies a chain of entity relationships between a number of entities in the entity data, where the relationships include one-to-one or one-to-many relationships. The system determines forecast information corresponding to the measurement metrics for the entities of the user. The system displays the forecast information as entity-based forecast values in the UI based on the mode chaining information, where the entity-based forecast values include a drill down of forecast values for the entities of the user.

A cybersecurity system generates user interface (100) including a root panel (102) and a series of adjacent panels (103-105). The root panel (102) represents the starting point of a workflow, for example, the results of a search query entered by an analyst. The root panel (102) provides a selection of interactive elements that can be used by an analyst to launch an investigation. The interactive elements may include hyperlinks to access additional information about an alert or other event or to drill down into particular fields of data. Selection of one of these interactive elements causes the system to generate a panel (103) adjacent to the root panel (102). Additional panels (104 and 105), in the illustrated workflow, are generated in response to selecting interactive elements from the preceding panel. A single user interface thus includes panels structured to reflect and memorialize a workflow of an investigation.

The invention discloses a big data processing method for biological medicine industry development diagnosis. The method specifically comprises the following steps: respectively extracting required biological medicine industry multi-source data according to a biological medicine industry development diagnosis index system; formatting the data with different and same format specifications into unified standard specification data according to the biological medicine industry index standardization specification; carrying out layer-by-layer index-by-index iteration diagnosis analysis according to biological medicine industry development diagnosis index system information; the biological medicine industry development diagnosis result is presented to a user through a human-computer interaction interface, and a diagnosis result of a specified level is displayed according to item information selected by the user. According to the method, the problems of data regularization, diagnosis index analysis operation automation, diagnosis result individuation and the like of the biomedical industry are solved, and a feasible solution is provided for intelligent and precise industrial development diagnosis by utilizing multi-source, multi-type and multi-format biomedical industry data element information.

A cybersecurity system generates user interface (100) including a root panel (102) and a series of adjacent panels (103-105). The root panel (102) represents the starting point of a workflow, for example, the results of a search query entered by an analyst. The root panel (102) provides a selection of interactive elements that can be used by an analyst to launch an investigation. The interactive elements may include hyperlinks to access additional information about an alert or other event or to drill down into particular fields of data. Selection of one of these interactive elements causes the system to generate a panel (103) adjacent to the root panel (102). Additional panels (104 and 105), in the illustrated workflow, are generated in response to selecting interactive elements from the preceding panel. A single user interface thus includes panels structured to reflect and memorialize a workflow of an investigation.

This application relates to the field of port equipment energy consumption analysis technology, and discloses a method and system for analyzing the daily total energy consumption of all equipment in a port. The method includes: acquiring raw energy consumption data streams uploaded by heterogeneous equipment across the port; performing protocol parsing and time alignment on the data to generate standardized energy consumption time-series data; using the time-series data to drive a predefined port equipment energy consumption state machine, automatically dividing the data into operating, idle, and standby state sequences according to preset power characteristic rules for different equipment types; labeling the operating states with specific operational logic tags based on port operation plans and operation logs; constructing an energy flow model with a three-layer mapping of equipment, state, and energy consumption based on the labeled sequences; and finally aggregating and generating a daily total energy consumption data product that can be drilled down and traced by natural day. This invention solves the problems of heterogeneous, unclear, and disconnected port equipment energy consumption data from production operations, and achieves refined and traceable energy consumption analysis.

The application relates to a knowledge base docking method, device, equipment and medium. The method comprises the following steps: constructing a knowledge base comprising multiple industries, wherein the multiple industries comprise a beauty industry and a mobile phone industry; detecting a current application scene, wherein the application scene comprises a search box application scene, a word cloud application scene, a content analysis application scene, an algorithm recommendation application scene and a chart drilling application scene; and docking the knowledge base by using a docking strategy matched with the application scene. The application solves the problem that a user cannot drill down for analysis while quickly and accurately obtaining a query result by docking the knowledge base with a strategy matched with a demand scene under different demand scenes.

The application relates to a spatial range query method based on HQuadTree and belongs to the technical field of spatial database index. The application comprises two parts of spatial index construction and spatial range query. In the index construction, Hilbert curve and QuadTree are combined to create HQuadTree index. In the query execution, a query q is given, a deep-first combined limited-breadth expansion strategy is adopted to moderately drill down the spatial range query, and the number of invalid objects returned can be effectively reduced. In addition, in order to avoid the intersection judgment times in the drilling process, a fast intersection judgment strategy is proposed to reduce the judgment times, so that the query efficiency can be effectively improved.

The application discloses a kind of based on permission semantic analysis and dynamic desensitization backtracking dialog business question method and system.The method receives user multi-round business question sentence;User identity, post, organizational level, authorized data domain, field sensitive level and displayable granularity are parsed into permission semantic vector, and are aligned with question semantic graph to form permission envelope;Based on question semantic graph, generate candidate logic query, and construct segment backtracking key for answer fragment, including field source, aggregation function, filter condition hash value, permission version, desensitization rule version, minimum display granularity and session inheritance mark;When follow-up question, error correction, drill down or permission changes, compare segment backtracking key and calculate permission residual change, drive segment safety state machine to execute effective, pending recalculation, frozen, degraded or refuse to display.The method can improve the security, traceability and interaction continuity of business question result.

A system and method are provided for feature engineering. The method may include obtaining data from a plurality of data sources. The method may also include generating, based on the data, features for training machine learning models using a single data pipeline that uses a feature generation logic that is separate from an execution logic. The method may also include generating, based on relations and / or joins in the feature generation logic, metadata for explaining the features, and generating, based on the metadata, lineage information representing a mapping of one or more features to intermediate tables and / or input tables. The method may also include displaying the lineage information representing the mapping, including allowing a user to select and / or drill down different features, intermediate tables and / or input tables. The method may also include storing the features and the metadata for the features to a feature store.