40 results about "Strategy development" patented technology

Disclosed is a health maintenance system for comprehensive health assessment, abnormality detection, health monitoring, health pattern and trend detection, health strategy development, and health history archiving. The health maintenance system comprises a subscriber segment and a system segment, communicatively coupled. The subscriber segment acquires subscriber personal and health data from at least one subscriber, analyzing the data; identifies specific health abnormalities; prescribes at least one customized subscriber health product, instructs the subscriber on the implementation of the prescribed health product, compiles and preserves the subscriber's health history data—including abnormalities and prescribed health products, and performs monitoring of subscriber health conditions. The subscriber segment acquires subscriber data from the subscriber segment, stores and maintains the data, facilitates retrieval of data by the subscriber and emergency medical personnel analyzes subscriber patterns and trends, develops new health products and modifies existing health products, and monitors the effectiveness of health products.

The present invention provides systems and methods for advertising campaign strategy development and optimization. Methods, systems, and apparatuses are provided for computerized optimization of advertising campaigns. Computerized methods and systems are provided that facilitate or automate optimization of advertising campaigns, including advertising campaigns or campaign components that use sponsored search result listings. Information relating to advertising campaigns and advertising campaign performance is collected from disparate sources, integrated, and utilized to facilitate determination of optimal ad campaign strategies as well as to facilitate management of ad campaigns and implementation of ad campaign strategies.

The invention provides an overall architecture for optimal strategy design using both historical data and human expertise. The presently preferred architecture supports the tasks of strategy design and strategy analysis, and provides extensions to influence diagrams, translation of an influence diagram as a nonlinear optimization problem, and use of induction after optimization to derive decision rules.

A computer-implemented simulator models the entire analytic value chain so that data generation, model fitting and strategy optimization are an integral part of the simulation. Data collection efforts, data mining algorithms, predictive modeling technologies and strategy development methodologies define the analytic value chain of a business operation: data→models→strategies→profit. Inputs to the simulator include consumer data and potential actions to be taken regarding a consumer or account. The invention maps what is known about a consumer or an account and the potential actions that the business can take on that consumer or account to potential future financial performance. After iteratively performing simulations using varying inputs, modeling the effect of the innovation on a profit model, the simulator outputs a prediction of the commercial value of an analytic innovation.

Certain examples provide systems, methods, and apparatus for patient care and care transition support. The example system includes a strategy development and simulation tool to analyze a patient care plan and transitions of care within the care plan to develop and analyze a strategy for the transitions of care within the care plan. The example system includes a discharge planning tool including predictive analytics to provide scenario-based planning and visualization to develop the care plan for patient discharge. The example system includes visual analytics to track and display progress of the patient against the care plan for the patient. The example system includes an outcome tracker to measure care plan efficacy to provide feedback for the patient care plan and future care plans.

A method, system and computer program product for strategy development and resource management for achieving a goal. The goal is divided into a plurality of first-generation sub-goals to form a goal hierarchy. At least one parameter is defined for the first-generation of sub-goals. The sub-goals are further divided into subsequent generations of sub-goals if the number of generations of sub-goals is less than a threshold value. A multi-level concentric representation of the goal hierarchy is created, based on the at least one parameter. The multi-level concentric representation is used for developing a strategy for achieving the goal.

The invention provides a hardware-in-the-loop simulation platform for energy management strategies of a plug-in hybrid electric vehicle. The hardware-in-the-loop simulation platform comprises a PC upper computer, a vehicle control unit, a line concentrator, a VT system real-time simulation system, CANoe software, MotoTune software, a brake pedal, an accelerator pedal and a key switch. According to the platform, the PC upper computer constructs a plug-in hybrid electric vehicle model through MATLAB / Simulink, and a real-time simulation core is generated; the real-time simulation core is downloaded to VTSystem by the CANoe software; a vehicle energy management strategy is established by MotoHawk software and is downloaded to the vehicle control unit by the MotoTune software. The PC upper computer monitors and evaluates the bus environment by the aid of the CANoe software. Compared with an existing hardware-in-the-loop simulation platform, the hardware-in-the-loop simulation platform has the advantages that the energy management strategy development efficiency of the plug-in hybrid electric vehicle is improved and the like.

The invention provides an overall architecture for optimal strategy design using both historical data and human expertise. The presently preferred architecture supports the tasks of strategy design and strategy analysis, and provides extensions to influence diagrams, translation of an influence diagram as a nonlinear optimization problem, and use of induction after optimization to derive decision rules.

The invention discloses a DG-included distribution network multi-fault multi-target combined optimization repair recovery strategy obtaining method, relating to the field of a power system. The distributed generation included distribution network multi-fault rapid repair and power supply recovery is a strategy with high properties of stage, hierarchy, and sequence. At present, most of researches of the distribution network fault repair recovery are carried out in a separate manner of single fault, single stage, and signal level, and fewer researches are carried on the multi-fault, staged, layered, and multi-target combined repair recovery optimization strategy development. The feed line in the DG included distribution network is equivalent to virtual DG, the controllable load alliance is carried out, and a network topology structure is updated; the multi-fault repair and recovery is subjected to staged and layered optimization model construction; and at the end, the combined optimization model is solved to obtain the optimal rapid repair recovery strategy. The strategy obtaining method has high practical value, shortens the power off time, reduces the power off loss, and improves the electric energy quality.

The invention discloses a quantitative investment strategy generating method and apparatus which relate to the financial investment technology field. The main purpose of the invention aims to solve the problem that in the prior art, users without coding ability or with limited strategy development acknowledge could not utilize an existing quantitative investment strategy platform. The main technical schemes of the invention are as follows: obtaining a plurality of information set data; according to the plurality of information set data, determining the reference models of a plurality of quantitative investment strategies corresponding to the plurality of information set data and a plurality of evaluation results corresponding to the reference models of the plurality of quantitative investment strategies; determining whether the plurality of information set data, the reference models of the plurality of quantitative investment strategies, the plurality of evaluation results and the quantitative investment strategies generated from a preset optimization algorithm are the quantitative investment strategies that meet the users' requirements or not; and if the answer is yes, then, outputting the quantitative investment strategies that meet the users' requirements to the users. The invention is used mainly for the generation of quantitative investment strategies.

The invention provides a financial commodity real-time trading system and a financial commodity real-time trading method based on a network, the trading system can simultaneously faces investors, suppliers, trading intermediaries and strategy developers, trading steps are simplified, trading barriers are lowered, the trading safety is guaranteed, the market management efficiency is increased, and the online trading order is improved. The financial commodity real-time trading system based on the network comprises a development module, a supply module, a mediation module and an investment module, wherein the development module comprises a strategy development unit and a trading signal unit which are connected; the supply module comprises a strategy service center website and a strategy service center background which are connected; the mediation module comprises a trading strategy consultant website and a trading strategy consultant management website which are connected; the investment module comprises an investment unit and an intelligent trading unit.

The invention discloses a method for preparing a coal flotation agent by using animal and plant grease and waste oil, and belongs to the field of the utilization of renewable energy sources-solar energy and waste grease, the preparation of the coal flotation agent and the application thereof. The method is characterized by using the environment-friendly solar energy to realize the decarboxylation or cracking reaction of the animal and plant grease or the waste oil as the raw material under the photocatalysis action of the sunlight, UV-light or visible light through controlling the types of photocatalytic materials, so as to achieve the purpose of preparing the coal flotation agent with different ratios among hydrocarbon, fatty acid and ester materials. The method uses the clean renewable energy sources-solar energy, and recovers the waste oil, so that the high cost problem caused by using petroleum base diesel or kerosene as the flotation agent is solved under the condition of petroleum energy-lacked, energy-saved and consumption-reduced economic strategy development; the method has the advantages of no poison, no harm, low cost, economy, environmental friendliness and feasibility, reduces the coal flotation cost, overcomes the defects in the prior art, and can be widely applied to the field of the energy sustainable development.

The invention discloses a space dividing method facing a city zoning plan. The method comprises the following steps of: drawing an evaluation base map which only comprises main urban area data information according to city plan topographic data, confirming elements and dividing modes which can influence the city space dividing, and zoning and secondarily zoning a city; and adjusting according to changeable elements. According to the space dividing method, the completely-quantized surveying, counting and computing methods are adopted, so that the space dividing method has the characteristics of being objective, rigorous and sole. After public service facilities are distributed by using the space dividing method, the balanced coverage of a public service resource can be promoted, the bases for the city zoning plan, the city strategy development project, the city commercial network plan and the related building can be provided, the implementation effect of the city planning and building can be improved, and the valuable city building resource can be effectively and reasonably used.

The invention belongs to the technical field of diesel engine electronic control strategy development and particularly provides a cylinder deactivation gas circuit control method of a diesel engine. The cylinder deactivation gas circuit control method of the diesel engine comprises the steps that the current work condition state information of an engine is collected; according to the current work condition state information of the engine, whether the engine is in partial load operation state at present or not is judged; if the engine is in the partial load operation state at present, a cylinder deactivation permission instruction is sent; according to the current work condition state information of the engine, the number of cylinders needing deactivation is calculated, and a cylinder deactivation execution instruction is sent; according to the received cylinder deactivation permission instruction, the cylinder deactivation execution instruction and the number of the cylinders needing deactivation, a corresponding number of air cylinders are sequentially closed. The cylinder deactivation gas circuit control method of the diesel engine can save oil for the whole vehicle and guarantees that the torque is kept balanced before and after cylinder deactivation.

The invention provides a service data security processing method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a data query request sent by a service system, with the query request comprising an identifier of the service system; acquiring a security policy corresponding to the service system according to the identifier of the service system; according to the security policy corresponding to the service system and the function of each preset security component, determining each target security component corresponding to the service system anda calling rule of each target security component; according to the calling rule of each target security component, calling each target security component in sequence to process the data inquired by the service system; and returning the processed data to the service system. According to the method, security components and the calling sequence required by data processing are determined according tothe security strategies corresponding to different service systems, corresponding security processing can be carried out on the data inquired by the different service systems, the security strategy development process is short, and the labor cost is low.

The invention discloses a predicting method of a flexible machining surface error of large disc mining cutter plane cutting, and relates to the field of prediction of the machining surface error. Thepredicting method comprises the following steps of building a single-step analysis standard finite element model, extracting an analysis file, building a main circulation analysis step to obtain a node position and an initial value of a flexible main circulation cutting force set, initializing a flexible main circulation finite element analysis model file to determine instantaneous cutting force of a subsidiary circulation cutting position, updating a subsidiary circulation finite element analysis model file, conducting finite element analysis, conducting flexible machining error calculation,judging whether subsidiary circulation of the flexible machining error calculation is converged or not, judging whether the cutting process is finished or not and conducting surface machining error point cloud processing to obtain a surface machining error cloud graph. By means of the method, after a large disc milling cutter is machined, the whole surface flexible machining error form can be simulated, the plane milling machining error forming mechanism of the large disc milling cutter is studied more comprehensively, and a prerequisite is provided for design of the machining process and control strategy development of the machining process.

The invention provides a modular quantization system and an execution method thereof, and electronic equipment, the quantization system comprises: a functional strategy module used for obtaining strategy components, wherein the functional strategy module comprises a dynamic strategy module and a visualization flow module, and the strategy components comprise a preset dynamic strategy component anda visualization flow component; a risk monitoring module which is used for acquiring preset risk monitoring elements; a back test module which is used for communicating the strategy components to form a strategy model according to the preset risk monitoring elements, and executing the strategy model to carry out back test, wherein the strategy model can feed back a back test result related to therisk monitoring element. By implementing visual modularization on conventional operation logic and implementing autonomous development on non-conventional operation logic, zero-coding or low-coding of strategy development by strategy developers or / and users is realized by a modular tool, and a strategy model construction program is simplified, so that simplification, visualization and popularization of strategy model construction are realized.

The invention provides MATLAB simulation platform architecture based on automatic gearbox control strategy development. The MATLAB simulation platform architecture comprises an initialization module, a control module, an execution mechanism module, a vehicle module, a road identification module and a data output module. The architecture can faithfully reflect automatic speed changing situations of a vehicle, and the development requirements of the whole vehicle and a control system are met.

A computer-implemented simulator models the entire analytic value chain so that data generation, model fitting and strategy optimization are an integral part of the simulation. Data collection efforts, data mining algorithms, predictive modeling technologies and strategy development methodologies define the analytic value chain of a business operation: data→models→strategies→profit. Inputs to the simulator include consumer data and potential actions to be taken regarding a consumer or account. The invention maps what is known about a consumer or an account and the potential actions that the business can take on that consumer or account to potential future financial performance. After iteratively performing simulations using varying inputs, modeling the effect of the innovation on a profit model, the simulator outputs a prediction of the commercial value of an analytic innovation.

The invention provides an energy control terminal strategy file security reinforcement method and system. The method comprises the following steps: reading a CPU identification code of an energy control terminal for installing a strategy file and a pre-generated strategy file registration code; decrypting the strategy file registration code by using the CPU identification code to obtain a strategy authentication ID; and determining whether the energy control terminal is authorized to operate the strategy file or not by verifying the strategy authentication ID and a strategy file authentication ID which is pre-generated and stored on the terminal, wherein the strategy file registration code is generated based on the identity authentication ID corresponding to the strategy file and the CPU identification code of the strategy terminal. The copy operation problem of the strategy file in the energy control terminal equipment under the condition that the strategy file is not authorized is solved, the demand for strategy safety management and strategy development maximization decoupling is met, the risk of security authentication information leakage is reduced, and the probability that an authorization program stops service due to incapability of real-time online or authentication communication failure is reduced.

The invention discloses a local power generation and power supply experiment system comprising an electric vehicle. The system comprises a wind power generation unit, a photovoltaic generating grid-connected unit energy storage unit, an electric vehicle charge and discharge unit, a tertiary load, a load control apparatus, an artificial load, a PV simulator, a frequency converter, an AC grid-connected cabinet, an access cabinet, a central controller, interconnection switches, a cable and a bus. According to the invention, through the state of each interconnection switch, different operation modes and configuration modes of multiple local power generation and power supply experiment systems can be realized, correlation networking experiments can be carried out through the different operation modes, and the operation modes of the multiple local power generation and power supply experiment systems mainly comprise the following types: a local power generation and power supply experiment system single grid-connected mode, a grid-connected and island switching transient mode, a local power generation and power supply experiment system all grid-connected mode and a local power generation and power supply experiment system island mode. Important improvements are made from such aspects as diversity of types of distributed power sources and energy storage devices, flexibility of operation modes and networking modes, comprehensiveness of control strategy development, comprehensiveness of scientific experiment research and the like.

A method, system and computer program product for strategy development and resource management for achieving a goal. The goal is divided into a plurality of first-generation sub-goals to form a goal hierarchy. At least one parameter is defined for the first-generation of sub-goals. The sub-goals are further divided into subsequent generations of sub-goals if the number of generations of sub-goals is less than a threshold value. A multi-level concentric representation of the goal hierarchy is created, based on the at least one parameter. The multi-level concentric representation is used for developing a strategy for achieving the goal.

The invention discloses a steel strip slip simulation method and device for continuously variable transmissions. When the maximum torque which is currently and actually transmitted by a driving wheelis less than actually transmitted torque, relations between the linear velocity of a steel strip and the angular velocity and radius of the driving wheel need to be judged, so that whether the steel strip slips at the driving wheel can be determined; and processes to judge whether the steel strip slips at a driven wheel are similar. When the slip state of the current steel strip is judged, erroneous judgement of the slip states can be reduced by adding the analysis on the relations between the steel strip linear velocity and driving and driven wheels, so that situations of slip rate jump can be decreased, and the quality and efficiency of strategy simulation in control strategy development can be enhanced.

The invention belongs to the technical field of financial science and technology, and discloses a multi-agent collaborative document-driven quantitative research and transaction self-evolution system and method. The system adopts a layered architecture, comprises a data and factor service layer, an execution engine layer, an agent layer, an interface service layer and a front-end control layer, and aims to solve the core problems that research and engineering implementation are separated in quantitative strategy research and development, code generation lacks interface constraints and strategies lack self-evolution ability. According to the system, through cooperative work of a research agent, a factor agent and a coding agent, a strategy idea described by a natural language is automatically converted into a standardized document, configuration and executable code; through a closed loop formed by self-monitoring, self-diagnosis and self-improvement intelligent agents, automatic diagnosis and optimization of problems of strategy overfitting, factor attenuation and the like are realized, continuous self-evolution of the strategy is driven, and full-life-cycle automatic management from strategy conception, factor design, automatic coding and real disk back-testing to feedback autonomous optimization is realized.

The invention discloses a performance management system of electric transmission and transformation devices. The performance management system comprises a device management center, a data collecting module, a strategy development module, a strategy management module, a strategy assessment module and a performance analysis module. The device management center, the data collecting module, the strategy development module, the strategy management module, the strategy assessment module and the performance analysis module are connected. Meanwhile, the performance analysis module is connected with the strategy development module and the device management center. According to the performance management system, power grid production persons, scientific research persons and management persons can conveniently carry out online performance management on the electric transmission and transformation devices according to conditions of the electric transmission and transformation devices, in this way, accurate maintenance strategies can be easily developed for the electric transmission and transformation devices, decision making supports can be easily provided, and required performance management results of the electric transmission and transformation devices can be inquired according to inquiring conditions.

The invention discloses an intelligent investment advising system and relates to the field of financial systems. A strategy production engine of the intelligent investment advising system can converts multi-dimensional gene input to low-dimension genes so as to make output strategies as simple as possible. Therefore, a rule that the greatest truths are the simplest is followed in strategy development and risks of overfitting of generated strategies are reduced. In this way, unavoidable problems in volume production of intelligent investment advising strategies by utilizing black box algorithms such as depth learning and neural network are solved.

The invention discloses a quantitative transaction strategy generation method and device. The generation method comprises the following steps: receiving a demand input by a user and preprocessing the demand; utilizing a multi-task language model to extract the entity and intention of the preprocessed demand; generating a structured semantic object according to the entity and the intention; reasoning the structured semantic object to generate abstract strategy description; compiling the abstract strategy description by utilizing a framework code generator to generate an executable strategy file; according to the scheme, intelligent and automatic management of the whole process from strategy conception to deployment is realized, and efficiency, accuracy and market adaptability are remarkably improved; according to the method, the professional threshold of quantitative transactions can be greatly reduced, more financial professionals with non-programming backgrounds can also participate in strategy development, and professional investors can be helped to keep competitive advantages in the market which changes instantaneously through continuous optimization so as to realize better return on investment.

The invention belongs to the design technology of operating rules of nuclear power plants, and provides a task analysis method for operating strategy development. The method includes functional requirement analysis and operation task analysis. The functional requirement analysis proceeds from the overall operation goal of the nuclear power plant and decomposes layer by layer to obtain all operating functions of the nuclear power plant and all systems, sub-functions, equipment and support systems; the operational task analysis is based on the analysis of functional requirements, starting from the operational tasks of the nuclear power plant, analyzing and decomposing the operational tasks, and finally forming an operational strategy framework for completing the operational tasks of the nuclear power plant, Provide a reference for the development of operational strategies. The invention ensures the completeness of the operation means selected in the operation strategy, and can provide a feasible, reasonable and effective operation strategy formulation method for a new reactor type without operation experience reference.

The invention discloses a source network load storage semi-physical simulation teaching system based on a hierarchical decoupling architecture, and relates to the technical field of simulation teaching, and the system comprises a function construction module, a strategy design module, a strategy development module, an environment deployment module and a simulation interaction module. According to the technical scheme, on the basis of a global mathematical model and a central control operation strategy, various energy management strategies are developed, compiled and deployed to a real-time simulator to form a control layer, and physical equipment in a distributed unit is connected to the real-time simulator to form an equipment layer. The control layer and the equipment layer jointly form a semi-physical simulation environment, the dynamic operation process of the source network load storage system is simulated based on an energy management strategy selected by a user in the semi-physical simulation environment, efficient integration and flexible deployment of hardware and a digital model can be achieved, the expandability and adaptability of simulation teaching are improved, and the simulation teaching efficiency is improved. Therefore, a safe and reliable simulation teaching environment is provided for the user.

The invention discloses a quantitative strategy development platform, which includes a client, a gateway layer, a basic service layer and a core service layer. When the client enters the platform, the platform first performs the first security check through the gateway layer, and then enters the The basic service layer, the core service layer includes the golang layer for processing, extracting, and pre-aggregating data, and the big data layer for reading, writing, and organizing data. In the environment of big data quantitative trading behavior samples, the present invention generates various trading strategies through preset trading rules for analyzing the past and predicting the future. Order trading signals copy orders or filter orders for the current situation, and support additional A variety of conditions are generated, which is more conducive to improving the user's income, and can be applied to brokers or individual users in the financial foreign exchange market.