62 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.

The invention embodiment relates to methods and systems for analysing and evaluating the usage of means of transport. The disclosure describes creating a digital ticket for a user. The digital ticket comprises a unique signature, which is assigned to a provider which issues the digital ticket. The digital ticket is transferred to a mobile device of the user. A sensor, which is, for example, arranged in or on a means of transport, receives a signal from the mobile device when it is in the vicinity. The signal comprises the unique signature of the ticket. The sensor is assigned to a means of transport of the provider or of another provider and comprises a unique sensor identifier. After the sensor has received the signal, it transfers the unique signature of the sensor and the sensor identifier to a backend server, where said data on means-of-transport usage are analysed and evaluated.

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 present invention discloses a human posture analysis system and method for sports equipment based on big data, which belongs to the field of data processing. The present invention imports the acquired usage data of sports equipment into a normal usage model of sports equipment to perform sports equipment usage analysis, imports the acquired human posture data information of exercise into a human posture analysis strategy to perform human posture analysis, obtains sports equipment usage analysis results and human posture analysis results and imports them into a motion matching analysis model to perform motion matching analysis, performs early warning of the exercise process of exercisers based on the motion matching analysis results, analyzes the matching degree between exercisers and sports equipment, improves the safety of exercisers during exercise, and avoids the occurrence of dangerous accidents during exercise.

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 invention discloses a data management method and system for power grid business hall terminals based on cloud computing, which relates to the field of data management technology, including: establishing digital communication with power grid business hall terminals, configuring communication link sets, and establishing a link history database; building a link feature analysis model; obtaining real-time usage data of power grid business hall terminals, making usage predictions based on time series networks, establishing prediction data, performing usage analysis of communication link sets, and establishing link feedback; obtaining real-time processor resource usage data, performing dynamic resource reallocation, and establishing an adjustable window for dynamic allocation results of links; performing feature adaptation analysis under link feedback, and establishing fine-tuning coefficients; performing fine-tuning processing of dynamic allocation results of links, and completing data management of power grid business hall terminals based on the fine-tuning processing results. The present invention solves the technical problem that the prior art cannot meet the requirements of efficient data processing and real-time response, and achieves the technical effect of improving data processing speed.

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 invention relates to the technical field of software development, in particular to a basic development platform for rapid software development. The demand acquisition module is used for acquiring functional demands and business logics of departments from administrators of the departments; a low-code development tool is preset in the low-code development module, and the low-code development module is used for providing a low-code development template and components according to functional requirements and business logic of each department, obtaining component design edited by an administrator of each department and a connection relationship among the components, and according to the connection relationship among the components, establishing a low-code development module; using the components as nodes to generate functional modules; the function issuing module is used for marking the function module as a trial function module and issuing the trial function module to a system of a corresponding department after the test operation of the function module is passed; and the use analysis module is used for acquiring the use condition of the trial function module by each department, and analyzing whether the trial function module meets the use requirement of the user according to the use condition.

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

Systems and methods for data corroboration and forecasting in which a sever generates structured customer feedback data from unstructured customer verbatim data and uses unsupervised machine learning modeling techniques to identify similar word clusters within the structured customer feedback data, classifies the identified word clusters into multiple categories of customer issues, and detects one or more trending customer issues within the multiple categories. The server may also retrieve web / mobile application usage analytics data and system logs data and use unsupervised machine learning modeling techniques to corroborate customer web / mobile navigation and service issues associated with the structured customer feedback data.

The present disclosure provides a system (108) and a method (400) for bandwidth optimization in a wireless network. The system (108) may collect call data records (CDRs) and bandwidth usage data for a particular time period using a data collection engine (212). The system (108) normalizes and pre-processes the collected data for feature extraction and further analysis using a computation engine (214). The system (108) may extract and compute relevant features from the normalized and pre-processed data to capture call patterns and user characteristics using the computation engine (214). The system (108) trains a machine learning (ML) model using the pre-processed data and the computed features to learn the call characteristics and the bandwidth usage patterns of the network using an analyzing engine (216). The trained model predicts future bandwidth utilization, generates proactive recommendations, and notifies the network operations team for optimized bandwidth allocation and network resource planning.

The invention discloses a client-oriented database synchronous upgrading method and system and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: obtaining a plurality of historical application records of a plurality of databases to be upgraded; performing dependency relationship analysis on the plurality of databases to be upgraded, and dividing the databases into K groups of associated databases; performing use analysis to obtain a plurality of idle windows; performing synchronous upgrading fitness analysis to obtain K synchronous upgrading windows; k upgrading tasks are obtained through interaction, and K upgrading consumed time is obtained by conducting upgrading simulation on the K upgrading tasks; according to the K synchronous upgrading windows and the K upgrading consumed time, parallel upgrading sorting is carried out, and an upgrading scheduling sequence is obtained; and extracting a plurality of upgrade notifications from the upgrade scheduling sequence, and returning the plurality of upgrade notifications to the plurality of clients. The technical problem that the database upgrading efficiency is low in the prior art is solved, and the technical effect of improving the database upgrading efficiency is achieved by optimizing database synchronous upgrading.

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.

1. The name of the design product: ventilator data analysis management graphical user interface for electronic devices. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for AI-assisted ventilator usage analysis and to provide opinions. 6. The human-computer interaction mode of the graphical user interface: the front view is the standby interface of the ventilator linked to the network AI, which obtains network AI knowledge for assistance and provides relevant suggestions to the user; the top area of the interface is the status bar; the left side of the interface is the toolbar, which can be set for its functions; the bottom is the control parameter area, which can adjust and set the currently displayed parameters; the main area is the patient setting area and the function area. This interface mainly introduces the AI on-machine function. After the user has completed the patient information setting, click the AI on-machine button to enter the interface change state diagram 1. This interface is an AI on-machine pop-up interface based on the front view. According to the set patient parameters, analyze the information and make answers. The bottom of the interface is the Anbao PI, which is a dynamic view indicating that it is loading. When the information reading is completed and the conclusion is pushed out, it presents the interface change state diagram 2. This interface presents AI analysis data and an application button. Click the one-key application button to confirm the parameters. In this interface state, click Start Ventilation to enter the interface change state diagram 3. Click the AI button to present the interface change state diagram 4. Click the on-machine evaluation to present the interface change state diagram 5.

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 present application describes a device for generating predicted consumable status data for a point-of-care medical analyzer, comprising an input unit and a processing unit. The input unit is configured to receive initial consumable status data for the point-of-care medical analyzer, the initial consumable status data defining an initial amount of point-of-care medical analyzer consumables present in the point-of-care medical analyzer, and receive an analyzer identifier at a first time index. The input unit is configured to receive a second time index. The processing unit is configured to generate predicted consumable status data using a predicted consumable consumption model selected using at least the analyzer identifier and the initial consumable status data, the predicted consumable status data defining an amount of point-of-care medical analyzer consumables predicted to be present in the point-of-care medical analyzer at a second time index. The predicted consumable consumption model includes (i) a consumable model for the point-of-care medical analyzer and (ii) a point-of-care medical analyzer usage model.

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 invention embodiment relates to methods and systems for analysing and evaluating access authorisations, location information and means of transport usage. The disclosure describes providing a unique signature in a data memory of a portable device. The unique signature is linked with a ticket identification. The data memory is functionally connected to at least one antenna. According to exemplary embodiments, the portable device can be an electronic ticket in the form of a chip card, which is provided with corresponding receiving and transmitting means. The electronic device can receive a first radio-based trigger signal by means of the antenna, said signal being transmitted from a radio base station at a first defined time. Based on the first trigger signal, the electronic ticket sends the unique signature, stored in the portable data memory, via the antenna. In embodiments, the signature can be transmitted at regular intervals even without a prior trigger signal. The radio base station then receives the unique signature and links it with radio base station information and time information of the first defined time. This information is transmitted to a backend server for further evaluation.