36 results about "Usage analysis" patented technology

The invention provides a data acquisition method based on the Internet of Things, and relates to the technical field of the Internet of Things, and the method comprises the steps: collecting the data of the Internet of Things; based on the Internet of Things data identification large model, performing first processing on the Internet of Things data to obtain a first processing result; wherein the first processing at least comprises data standardization and intelligent labeling; storing the first processing result; performing second processing on the first processing result based on an Internet of Things data identification large model to obtain a second processing result; wherein the second processing at least comprises data intelligent desensitization, reinforcement and recognizable processing; and performing data use analysis and exchange on the second processing result. According to the method, the data is automatically processed by using the Internet of Things data identification large model, the meaning and state of the data are effectively identified, the efficiency and accuracy of data acquisition, labeling, analysis and processing are improved, manual intervention is reduced, the labor cost is reduced, labeling errors and omission are reduced, and the automation and intelligence level of data processing is improved.

The invention relates to the technical field of artificial intelligence decision support, in particular to an AI artificial intelligence-based professional planning auxiliary analysis method and system. The method comprises the following steps: collecting user feature data and position feature data, and carrying out standardization processing; constructing a multi-level decision-making structure by using an analytic hierarchy process method, performing quantitative analysis on the users and the occupations by using a pairwise comparison matrix, and performing calculation to obtain feature weights and feature values of the users and the occupations; fusing the user characteristic value and the occupational characteristic value into a decision tree model, calculating the matching similarity between the user and the occupational, and dynamically generating an occupational planning path; and defining a feedback error value based on the user and occupational matching similarity and the user score value, and dynamically adjusting the occupational feature weight. According to the AI artificial intelligence-based occupational planning auxiliary analysis method and system, a dynamic and personalized occupational planning scheme is provided for a user by combining an analytic hierarchy process method and a decision tree model and defining a feedback error value.

In a general aspect, risks associated with cryptography usage in network communication between computing nodes are identified. In some aspects, a network packet capture agent obtains cryptography usage data by examining network traffic communicated by computing nodes in the computing environment. A cryptography usage analysis agent identifies cryptography usage risks based on the cryptography usage data. A cryptographic risk identification agent identifies one or more applications associated with the cryptography usage risks.

The invention discloses an industrial data analysis method and system based on a dynamic form, and relates to the technical field of data analysis, when a plurality of systems share data, the systems calculate the similarity Xsd of data items through a repeatability analysis module, and screen out repeated data sets based on the similarity, so that the systems can effectively identify and eliminate redundant data, and the data processing efficiency is improved. And unnecessary repeated acquisition and storage are avoided, so that data storage is optimized, storage resources are saved, and the burden of redundant data is reduced. Through a data usage analysis module, the system can identify features of each data item in different contexts within a duplicated data set. Through data context vectorization and analysis of the use difference degree Cyd in different contexts, the system can further judge which data items have different meanings in different systems or service scenes, so that non-redundant data which should not be regarded as redundancy is screened out, and the analysis ensures that the system performs judgment not only based on the data similarity.

The application discloses a kind of operating room consumable use analysis method and system, it is related to medical instrument management technical field, method includes: obtaining operation video and force data in surgical instrument operation process;According to the force data, generate operation reference;According to the force data and the operation reference, identify key mechanical event and target timestamp;According to the target timestamp, extract the video frame corresponding to the key mechanical event from the operation video;Determine the two-dimensional position of surgical instrument tip on the video frame;According to the two-dimensional position of surgical instrument tip, generate target anatomical position in three-dimensional medical image model;According to the target timestamp, the force data and the target anatomical position, generate event evidence chain.The application realizes consumable use analysis, and improves accuracy.

The application relates to an industry chain early warning method and an energy service SaaS operation and maintenance management platform. The method comprises the following steps: acquiring basic power consumption data groups of all terminals of an enterprise, each terminal corresponding to a basic power consumption data group; cleaning the basic power consumption data groups to obtain analysis power consumption data groups; constructing power consumption analysis curves by using the analysis power consumption data groups; acquiring behavior data of the terminals and segmenting the power consumption analysis curves according to the behavior data to obtain multiple sub-power consumption analysis curves; correlating and analyzing the sub-power consumption analysis curves and a comparison reference curve according to the behavior data to obtain analysis results; and giving a judgment result according to the analysis results, wherein the judgment result comprises normal power consumption behavior and abnormal power consumption behavior. The industry chain early warning method and the energy service SaaS operation and maintenance management platform disclosed by the application can discover the relationship between equipment operation behavior and power consumption by analyzing collected data, thereby providing data support for subsequent equipment maintenance and power consumption optimization.

One objective of the embodiments of the present invention is to accurately calculate the actual usage of applications, including cloud infrastructure, by users and enable reasonable pricing. To achieve this, a method for presenting application usage data according to one embodiment of the present invention is a method for analyzing and presenting application usage data, comprising the steps of: receiving usage analysis data relating to the usage of an application to be analyzed running on a user device from each of a plurality of user devices belonging to an organization, wherein the usage analysis data is collected by a usage analysis application running on each of the plurality of user devices based on the display state of the graphical user interface (GUI) corresponding to the application running on the user device; generating statistical data relating to the usage of the application to be analyzed based on the usage analysis data collected from each of the plurality of user devices; and presenting the statistical data to a designated device.

The application discloses a distributed database index recommendation monitoring system and method, belongs to the field of distributed databases, and aims to solve the technical problem of how to perform real-time feedback on analysis recommendation functions, establish a closed loop index, and guarantee the health and efficiency of database indexes. The technical scheme adopted is as follows: the structure comprises an index analysis recommendation module, an index suggestion modification application module, an index usage monitoring module, an index usage analysis module, an index report generation module, and a self-adaptive index suggestion optimization module; the index analysis recommendation module is used to start from unhealthy statements, check related tables, access patterns, predicate categories and related fields, and propose candidate indexes based on each SQL statement according to a candidate index generation algorithm; after the generation of the candidate indexes that need to be created, the effectiveness of the candidate indexes is verified through two steps; the two steps specifically refer to verifying the benefits of the indexes on a single SQL statement and verifying the benefits of the indexes on all affected statements under the overall application load.

One objective of the embodiments of this disclosure is to enable reasonable pricing based on the actual usage of each account for applications, including cloud infrastructure. To this end, a method for assigning an account tier based on application usage according to one embodiment of this disclosure includes the steps of: calculating the application usage of the account in a first period by receiving usage analysis data for a first period from each of one or more user devices associated with the account for one or more pre-specified monitored applications; and determining whether to assign the account to a paid account or a free account in a second period following the first period, based on the application usage of the account in the first period.

The present disclosure envisages a device (100) for energy usage analytics, The device (100) comprises a control unit (40) configured to generate at least one control signal based on a user input(s), a switching unit (50) configured to receive the control signal(s) and switch ON / OFF the electrical load(s) (20) by controlling a supply of power from the power source (10) to the electrical load(s) (20), a power metering unit (60) electrically coupled to the switching unit (50) and is configured to compute a value(s) corresponding to an real time active power drawn by the electrical load(s) (20), and a communication unit (70) configured to cooperate with the control unit (40) and the power metering unit (60) and to transmit the computed real time active energy value(s) to a user device (80) and display energy usage analytics after performing analytical computation of energy data in remote analytical server (90). The present disclosure envisages a system (200) for energy usage analytics.

To provide a system for detecting a user of a bathroom.SOLUTION: A system comprises at least one sensor 100 coupled to a bathroom use analysis device. The sensor generates data that can be used for detecting and / or identifying the user. Also provided is a method of detecting a user of a bathroom. The method comprises a step of analyzing data generated by the sensor in the above system to detect and / or identify the user.SELECTED DRAWING: Figure 1

To provide an electronic musical instrument a control method of the electronic musical instrument and a program which can appropriately suppress consumption of power.SOLUTION: A control method of an electronic musical instrument comprises the steps of: determining an analysis object of a use state by using residual amount data of a battery acquired in a step S301 and priority data acquired in a step S302 (step S303); comparing use states of respective members indicated by use state analysis data acquired in a step S305 with power saving conditions indicated by power saving condition data acquired in a step S304 to determine whether or not the power saving condition is established for each of the plurality of members in accordance with a function being the analysis object of the use state (step S306); identifying each whose power saving condition is established, of the members (step S307); and performing power saving control on the identified members (step S308).SELECTED DRAWING: Figure 8

The present invention discloses a user-side database synchronization upgrade method, system and storage medium, and relates to the field of data processing technology. The method includes: obtaining multiple historical application records of multiple databases to be upgraded; performing dependency analysis on multiple databases to be upgraded, and dividing them into K groups of related databases; performing usage analysis to obtain multiple idle windows; performing synchronization upgrade fitness analysis to obtain K synchronization upgrade windows; interactively obtaining K upgrade tasks, and obtaining K upgrade times by performing upgrade simulation on the K upgrade tasks; performing parallel upgrade sorting according to the K synchronization upgrade windows and the K upgrade times to obtain an upgrade scheduling sequence; extracting multiple upgrade notifications from the upgrade scheduling sequence, and transmitting the multiple upgrade notifications back to multiple user terminals. The technical problem of low database upgrade efficiency in the prior art is solved, and the technical effect of improving database upgrade efficiency is achieved by optimizing database synchronization upgrade.

An object of a system according to an embodiment is to select an appropriate analysis technique based on data provided by a user and provide an analysis result in an easy-to-understand report format.SOLUTION: A system according to an embodiment includes a data providing unit, an analysis technique selection unit, an analysis result generation unit, and a report providing unit. The data provider receives data from a user. The analysis technique selection unit selects an appropriate analysis technique based on the data received by the data provision unit. The analysis result generation unit analyzes the data using the analysis technique selected by the analysis technique selection unit and generates an analysis result. The report providing unit provides the analysis result generated by the analysis result generation unit in a report format.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of furniture, and provides an integrated power supply and control electric lifting table system, which comprises a central power supply and control module, a historical use analysis unit, a clustering algorithm based on historical use data of an electric lifting table, a common height which is not preset is extracted and marked as a hidden preference height, and the central power supply and control module is connected with the central power supply and control module; marking the remaining common heights as dominant preference heights; the use pattern analysis unit is used for carrying out use activity analysis and preference migration analysis on the dominant preference height; usage activity analysis is used to assess usage effectiveness and identify high frequency active height and low frequency idle height. Through an intelligent closed-loop system composed of a historical use analysis unit, a use mode analysis unit, an evaluation decision module and a dynamic optimization execution unit, the memory function has perception-cognition-decision-optimization capabilities.

The invention relates to a range hood analysis report generation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring use data transmitted by a range hood; based on a preset non-compliance condition, performing non-compliance statistical processing on the use data to obtain non-compliance record information; based on a preset compliance condition, processing the non-compliance record information to obtain health prompt information; according to the non-compliance record information and the health prompt information, a use analysis report of the smoke exhaust ventilator is obtained, so that the use analysis report of the smoke exhaust ventilator is accurately generated, a user can conveniently check the use condition of the smoke exhaust ventilator in real time, personalized health suggestions are given to the user, the user is helped to know the life style of the user, and the user experience is improved. And through reasonable reminding and suggestion, the user is helped to develop healthier diet and living habits, and the negative influence of night snacks on the body is reduced, so that the reliability of analysis of non-compliant use conditions and health prompts is improved, and the accuracy of report generation is improved.

The invention relates to a configuration metadata use analysis method and device, electronic equipment and a storage medium, and relates to the technical field of computers. According to the method and the device, the read-write request detail data, the subscription detail data and the configuration metadata involved in system operation are uniformly acquired and analyzed, so that the use state of the configuration metadata can be dynamically monitored from multiple dimensions. Different types of feature tags are correspondingly output and associated to specific configuration items by identifying read-write anomalies, magnitude load features and cross-source access features, so that accurate positioning of potential abnormal configuration, performance bottlenecks and cross-source risks is realized, the use visualization degree of configuration metadata and problem positioning efficiency are improved, and the problem positioning efficiency is improved. And a structured decision basis is provided for subsequent system optimization and configuration adjustment, so that the stability of system operation and the resource use efficiency are remarkably improved.

The invention discloses a BIOS firmware intelligent update recommendation system. The system comprises hardware configuration detection, user condition analysis, version matching and recommendation and intelligent update recommendation system website establishment. Through comprehensive hardware configuration detection and user use condition analysis, high-individuation BIOS updating recommendation can be provided according to the specific system environment and requirements of each user, the individuation recommendation mechanism greatly improves the recommendation accuracy, it is ensured that the updated version received by the user is most matched with the system of the user, and the user experience is improved. And the risk of incompatible or invalid updating is reduced.

One purpose of the embodiment of the invention is to accurately calculate the actual user usage amount of the application programs including the cloud infrastructure, thereby realizing reasonable fee charging. To this end, according to one embodiment of the present invention, a method for presenting application usage data includes the steps of: presenting application usage data; the method includes: receiving, from each of a plurality of user devices belonging to an institution, usage amount analysis data of an application to be analyzed running on the user device, the usage amount analysis data being collected on the basis of a user device graphical user interface (GUI) of a usage amount analysis application running on each of the plurality of user devices; and generating usage amount statistical data of the analyzed application program according to usage amount analysis data respectively collected from the plurality of user devices, and presenting a user interface based on the statistical data on a specified device.

The embodiment of the invention provides a monitoring method and device, equipment, a readable storage medium and a program product, and the method comprises the steps that first terminal equipment displays a first service interface, the first service interface comprises a first icon component, the first icon component is bound with an operation monitoring component, and the first icon component is monitored through the operation monitoring component; the method comprises the steps that target operation data involved when operation is conducted on a first icon component is monitored, the target operation data is sent to a server, and the server determines use analysis data of the first icon component according to the target operation data and generates display adjustment information of the first icon component according to the use analysis data. Through the method provided by the embodiment of the invention, monitoring and automatic data reporting of the icon component can be realized, the display adjustment information of the icon component can be determined, the optimization efficiency is effectively improved, and accurate optimization of the icon component is realized.

The invention relates to the field of data analysis, in particular to a parking lot data analysis system based on the Internet of Things, which comprises an initial recommendation module used for carrying out initial evaluation on use recommendation indexes of recommendation analysis areas and determining whether recommendation evaluation analysis is carried out on the recommendation analysis areas or not; the evaluation analysis module is used for carrying out recommendation evaluation analysis and determining whether regional load analysis and regional use analysis are carried out or not according to the regional charging load parameters; the load analysis module is used for determining whether to adjust the use recommendation index or not according to the charging demand difference parameter; the use analysis module is used for determining whether existing use analysis or confluence use analysis is carried out according to the key reference user proportion index and determining whether adjustment is carried out according to the use recommendation index; and the recommendation execution module is used for determining a recommendation execution area of each target recommendation user based on the recommendation priority coefficient. According to the invention, the data analysis efficiency and analysis quality of the parking space recommendation process are improved.

The present application belongs to the technical field of furniture, and provides an electric lifting table system integrated with power supply and control, comprising a central power supply and control module: a historical use analysis unit, based on historical use data of the electric lifting table, performing analysis through a clustering algorithm, extracting a commonly used height not preset and marking it as an implicit preference height, and marking the remaining commonly used heights as explicit preference heights; a use mode analysis unit, performing use activity analysis and preference migration analysis on the explicit preference heights; use activity analysis is used for evaluating use effectiveness and identifying high-frequency active heights and low-frequency idle heights. Through an intelligent closed-loop system composed of a historical use analysis unit, a use mode analysis unit, an evaluation decision module and a dynamic optimization execution unit, the memory function has the ability of perception-cognition-decision-optimization.

The present invention discloses an industrial data analysis method and system based on dynamic forms, which relates to the technical field of data analysis. When multiple systems share data, the system calculates the similarity Xsd of data items through a repetitive analysis module, and filters out duplicate data groups based on this similarity. This enables the system to effectively identify and eliminate redundant data, avoiding unnecessary repeated collection and storage, thereby optimizing data storage, saving storage resources, and reducing the burden of redundant data. Through the data usage analysis module, the system can identify the characteristics of each data item in the duplicate data group in different contexts. By vectorizing the data context and analyzing the usage difference degree Cyd in different contexts, the system can further determine which data items have different meanings in different systems or business scenarios, so as to filter out non-redundant data that should not be regarded as redundant. This kind of analysis ensures that the system does not make judgments solely based on data similarity.

To provide a system.SOLUTION: A system includes means for linking mobile information query data with a navigation system, means for utilizing generative AI in usage analysis, proposal drafting, and proposal document creation processes, means for efficiently and objectively identifying target customers and lines for approach, and means for executing proposal activities effective for improving customer productivity and generating innovation.SELECTED DRAWING: Figure 1

A system for recommending an energy simulation component, according to one embodiment of the present invention, comprises: a type recommendation unit for storing simulation type information and transmitting same to a researcher terminal, and receiving, from the researcher terminal, selected simulation type information according to a selection of the simulation type information; a resource recommendation unit for storing distributed resource information and grid model information and transmitting same to the researcher terminal, and receiving, from the researcher terminal, selective distributed resource information according to a selection of the distributed resource information and selected grid model information according to a selection of the grid model information; a data function recommendation unit for storing data set information and function module information and transmitting same to the researcher terminal, and receiving, from the researcher terminal, selection data set information according to a selection of the data set information and selected function module information according to a selection of the function module information; a virtual environment unit for generating a virtual environment; and a usage analysis unit for receiving, from the researcher terminal, a usage log by the researcher terminal and storing same, generating analysis information according to the usage log, and generating recommendation information according to the simulation type information on the basis of the analysis information.

An object of a system according to an embodiment is to propose an optimal fee plan based on a usage status and a budget of a user.SOLUTION: A system includes a use state analysis part, a budget analysis part, and a proposal part. The usage situation analysis unit analyzes a usage situation of a user. The budget analysis unit analyzes a budget of a user. The proposal unit proposes an optimal fee plan based on the results analyzed by the use status analysis unit and the budget analysis unit.SELECTED DRAWING: Figure 1

To provide a railroad use situation analysis device, a railroad use situation analysis method, and a railroad use situation analysis program, capable of acquiring and utilizing movement information of a passenger using a plurality of railroad companies.SOLUTION: The railway use status analysis device 10 includes a data acquisition unit 11 and a data linking unit 13. A data-acquiring part 11 acquires data-including two latch transfer data-passing through a second ticket gate after going out of a first ticket gate as ticket gate passing data-passing through ticket gates 20a, 20b and 20c of a railroad station for each passenger. The data-linking unit 13 links the ticket-gate pass-data 14a acquired by the data-acquiring unit 11 and information 14b to 14f relating to railway stations.SELECTED DRAWING: Figure 1

Systems, methods, and computer-readable storage mediums for performing specialized data logging on a client device are disclosed. Observability data pertaining to an API on a client device is captured. The observability includes, for each of one or more functions of the API, a number of times the function is used and a number of times each parameter of the function is used. The observability data pertaining to the API is communicated to a target based on a type of the observability data.

To facilitate the analysis of meeting area usage. [Solution] The usage status analysis system 1 comprises a first acquisition unit 11, a second acquisition unit 12, a third acquisition unit 13, and a data generation unit 14. The first acquisition unit 11 acquires reservation information regarding the reservation status of the meeting area from the reservation system 30. The second acquisition unit 12 acquires user number information, including the detection result and detection time of the number of people present in the meeting area, from the sensor system 40. The third acquisition unit 13 acquires meeting area information, including at least the user capacity of the meeting area. Based on the reservation information and user number information for the target period, the data generation unit 14 determines whether or not a meeting area is reserved at the time when people were present in the meeting area. The data generation unit 14 generates usage status information, which includes at least the user number information for the target period, meeting area information, and the determination result of whether or not a meeting area is reserved.

The invention discloses an operating room consumable usage analysis method and system, and relates to the technical field of medical instrument management, and the method comprises the steps: obtaining an operation video and acting force data in the operation process of an operation instrument; generating an operation reference according to the acting force data; identifying a key mechanical event and a target timestamp according to the acting force data and the operation reference; according to the target timestamp, extracting a video frame corresponding to the key mechanical event from the operation video; determining the two-dimensional position of the tip of the surgical instrument on the video frame; generating a target anatomical position in a three-dimensional medical image model according to the two-dimensional position of the tip of the surgical instrument; and generating an event evidence chain according to the target timestamp, the acting force data and the target anatomical position. The consumable use analysis is realized, and the accuracy is improved.