50 results about "Needs analysis" patented technology

Disclosed herein are example embodiments of an improved narrative generation system where an analysis service that executes data analysis logic that supports story generation can include configuration-driven analytics, such as at least one of a configuration-driven peaks analytic, a configuration-driven jumps analytic, a configuration-driven runs analytic, and/or a configuration-driven streaks analytic. In an example embodiment, the analysis service can be segregated from an authoring service that executes authoring logic for story generation through an interface. Accordingly, when the authoring service needs analysis from the analysis service, it can invoke the analysis service through the interface. By exposing the analysis service to the authoring service through the shared interface, the details of the logic underlying the analysis service are shielded from the authoring service (and vice versa where the details of the authoring service are shielded from the analysis service). Through parameterization of operating variables, the analysis service can thus be designed as a generalized data analysis service that can operate in a number of different content verticals with respect to a variety of different story types.

The invention belongs to the field of gas turbine blades, and particularly relates to a turbine blade infiltrated layer mechanical property test evaluation method. The method comprises the following steps: 1, demand analysis: determining a concerned part of a turbine blade according to a service condition; and determining a performance analysis index of the turbine blade; 2, test design: designing a test piece design according to the concerned part of the turbine blade, the test piece comprising a standard test piece and a structural feature piece; determining test items and loading conditions of each standard test piece and each structural feature piece according to the performance analysis index of the turbine blade; and respectively testing each standard test piece and the structural feature piece, and acquiring test data; and 3, quantitatively evaluating the single performance and comprehensive performance based on test data. According to the turbine blade infiltrated layer mechanical property test evaluation method, quantitative evaluation of the infiltrated layer mechanical property of the actual use requirement of the turbine blade can be comprehensively reflected.

A method for filtered, real-time referral searches includes receiving, by an analysis engine, during a patient interaction between a patient and an operator, an identification of a clinical need. The analysis engine analyzes the identification of the clinical need and data associated with the patient to determine at least one patient requirement. The analysis engine identifies a plurality of medical providers as potential referrals for the patient. The analysis engine generates a question to ask the patient and modifies a user interface displayed to the operator, during the patient interaction, to include the generated question. The analysis engine receives input responsive to the generated question. The analysis engine accesses at least one state machine to filter the plurality of medical providers. The analysis engine modifies, during the patient interaction, the user interface, resulting in a display of an identification of each medical provider in the filtered set of medical providers.

The invention discloses a nuclear power plant fire response and drill ability evaluation system and method. The evaluation system comprises an analog simulation model, a fire response demand analysis model, a response and drill model, a recording unit, an evaluation unit and a dynamic alarm model, wherein the analog simulation model is used for obtaining fire characteristic parameters and personnel evacuation characteristic parameters; the fire response demand analysis model determines demand data of the evaluation area for responding to the fire response; the response and drill model is used for simulating and comparing implementation conditions of rescue behaviors in the fire drill process; the recording unit is used for recording various data information in the fire response and drill process; the evaluation unit is used for evaluating fire response and drill ability and outputting an evaluation result; and the dynamic alarm model is used for dynamically evaluating each index of the evaluation result and performing real-time early warning. According to the nuclear power plant fire response and drill ability evaluation system and method provided by the invention, the emergency processing ability when a fire occurs is effectively evaluated, so that deployment in advance is facilitated.

The invention relates to an intelligent material taking method and system of a bucket wheel machine. The method comprises the steps that after an automatic material taking command is received, a blending combustion plan is analyzed according to the boiler combustion requirement, data meeting the optimal coal blending scheme is obtained, the data are transmitted to an upper scheduling and monitoring system module, and the upper scheduling and monitoring system module judges whether the raw coal storage coal quantity meets the requirement or not and adopts an optimal selection algorithm, the optimal material piling and taking scheme and area are obtained and pushed to an operator; full-automatic material taking is started, and the bucket wheel machine automatically moves to a material piling and taking area to conduct material piling and taking operation; the lower execution and acquisition system module returns single-time material taking data in real time and records a material taking track; the upper scheduling and monitoring system module calculates material volume change parameters of single rotation, establishes a new three-dimensional model of the coal yard and updates the data of the coal yard. The problems that a traditional bucket wheel machine needs human intervention in material taking, the automation degree is low, and the intelligence level is low are solved, the energy consumption of the system is reduced, and the coal blending efficiency and the boiler combustion stability are improved.

The invention relates to an automatic driving scene self-recognition method and a storage medium. The method comprises the steps of data acquisition and storage, data cleaning, events, scene recognition and point burying, data cutting, classification and label labeling, format conversion and data use. According to the invention, automatic identification and extraction, format conversion and labeled classified storage management are carried out on all collected whole vehicle network signals and sensor original signal data; a scene library established according to layering and classification of real vehicle data covers a natural traffic flow scene, an automatic driving failure working condition, driver takeover data, whole vehicle driving data, a working condition outside an operation area range, a traffic accident, traffic participant interaction data and man-machine interaction data. Big data support can be provided for automatic automobile product definition, function planning, demand analysis, software and hardware development, system integration, simulation and real automobile verification, function and performance rapid iteration updating, automatic driving standard regulation making and the like, and the utilization efficiency and the repeated utilization rate of data are improved.

The invention provides a virtual test architecture for an aero-engine high-altitude simulation test, and belongs to the technical field of aero-engine tests, and the virtual test architecture comprises a demand analysis layer which is used for carrying out the demand analysis of a high-altitude platform virtual test for the aero-engine high-altitude simulation test, and determining the needed key technology and research range; the technical support layer is used for carrying out modeling and simulation in sequence according to an analysis result of the demand analysis layer, and determining a virtual test platform technology and a virtual test prototype technology; the engineering verification layer is used for building a virtual prototype and performing function rehearsal and verification of the high-altitude platform under the condition that the physical system is connected to the virtual test prototype; and the application layer is used for performing test capability and testable range evaluation, test scheme pre-optimization, test layout and test layout optimization and test data validity evaluation after function rehearsal and verification. By means of the processing scheme, the test simulation degree is improved, the test period is shortened, and high-altitude platform test technology progress is promoted.

The invention provides a construction method of an overwater emergency rescue equipment system, and belongs to the field of system construction. The construction method of the overwater emergency rescue equipment system comprises the following steps: a problem proposing and range defining link, an equipment system design principle determination link, a demand analysis link, an equipment system draft forming link, and an equipment system evaluation link. According to the method, equipment requirements are taken as guidance, and, on the premise of defining the range of the equipment system and defining the design principle of the equipment system, an equipment system construction iteration process of problem proposing and range defining-the design principle of the equipment system-requirement analysis-the draft of the equipment system-the evaluation of the equipment system is strictly followed; and an equipment system demand fusion analysis method taking mission as traction and equipment demand as guidance is adopted, so that the pertinence, systematicness, practicability and scientificity of the constructed overwater emergency rescue equipment system are guaranteed.

The invention relates to a project supervision method, which comprises the following steps: S1, establishing a quality control mechanism, an investment control mechanism, a progress control mechanism and a change control mechanism before project construction; s2, performing supervision work in two aspects of a feasibility research stage and a demand analysis stage, and building reports of safety management, contract management and information management in the engineering construction process; s3, during engineering construction, using an OA system and an ERP system for tracking the implementation process of the project and the dialing of the progress in real time, and ensuring that the progress of the project corresponds to the dialing of the progress and is open and transparent; s4, when the supervisor carries out organization coordination, coordinating all parties participating in system engineering construction; and S5, after engineering construction, enabling the supervision unit to carry out part-by-part acceptance check on the work starting project according to the engineering inspection report. The construction quality of constructional engineering can be improved, and the expected target of engineering construction is achieved.

The invention belongs to the technical field of data processing, and relates to an APP information pushing system and method for an all-purpose card, and a medium, the APP information pushing system comprises a data acquisition module, a database, an ETL module, a model module and a pushing module, and the data acquisition module is used for acquiring data and behaviors of a user; the database is used for storing and evaluating data and behaviors of the user; the ETL module is used for processing the data and behaviors of the user according to the data processing model; the model module is used for substituting the user data and behaviors processed by the ETL module into the data processing model for clustering calculation, and dividing the data and behaviors into a plurality of categories; and the pushing module is used for pushing information according to the data and the behavior category of the current user. Behavior analysis data generated in the APP is analyzed, the accuracy of random demand analysis is improved, and therefore the use experience of a user for the APP is improved.