106 results about "Consequence analysis" patented technology

Analyzing employees based on results of an education business simulation. A network is utilized to present a training simulation to a user for achieving a training goal. Information is integrated into the training simulated utilizing the network that helps motivate achievement of the goal by the user. Progress of the user towards achieving the goal is measured utilizing the network. For further motivating achievement of the goal, feedback is also provided to the user utilizing the network. There are three levels of feedback, where each is progressively more detailed and is selected based on the number of mistakes made by the user, the user's progress towards the goal is subsequently reported to the employer of the user utilizing the network.

The present invention provides a novel distributed factory system framework including a novel factory automation lifecycle (200) having lifecycle activities for SW developing and integrating (210), installing and administrating (220), factory modeling (230), manufacturing planning (240), manufacturing controlling, monitoring and tracking (250) and analyzing of manufacturing results (260). The factory lifecycle comprises framework components. The distributed factory system framework also includes application components and software building blocks. The framework components are adapted for managing the application components, while the application components are utilized to provide instructions for managing a process such as a wafer fab. The building blocks are adapted for forming or modifying framework and application components. The distributed factory system framework provides computer implemented methods for integrating processing systems and facilitates process and equipment changes.

A comprehensive assessment method for running of an intelligent power distribution network includes the steps of firstly, building a comprehensive assessment index system according to the running characteristic of the intelligent power distribution network; secondly, defining application range of the assessment method in terms of preference information, quantity of plans and relation between the quantity of plans and the quantity of attributes on the basis of investigation of the conventional comprehensive assessment method for the power distribution network, selecting the analytic hierarchy process, the fuzzy comprehensive evaluation method and the Delphi method as theoretical supports for comprehensive assessment according to real condition of assessment of running of the intelligent power distribution network, and on the basis of the three methods, providing comprehensive assessment methods and processes which include important links such as weight setting, scoring standard setting and assessment result analyzing. The comprehensive assessment index system relates to five indexes of safety, reliability, economy, high quality and intellectuality. The comprehensive assessment method has high practicability, feasibility and promotion and application value, and can provide important basis for scheduling and planning of the power distribution network and for management staff to make decision.

The present invention achieves maintenance of service quality and efficient operation of a system by dynamically and optimally relocating contents in each of an archive server, edge servers, and terminal storage devices. To achieve the object, the present invention provides a contents delivery system in which a CDN (contents delivery network) having plural edge servers intervenes between a center device managing an archive server storing contents and user terminals having large-capacity storage devices, wherein the center device includes: a viewing results collection part; a viewing results analysis part; a contents allocation part for relocating contents to each of the archive server, relay servers, and user terminals, based on an analyzed viewing tendency; a portal creation part for automatically creating a portal after the relocation; and a price decision part for automatically deciding contents prices after the relocation.

The invention discloses a CRFs (conditional random fields) and SVM (support vector machine) based method for extracting fine-granularity sentiment elements in product reviews. The method comprises the steps as follows: a, a CRFs model is adopted, review language characteristics are taken as sequences, then position labelling is performed on review languages according to the sequences, corresponding rules are adopted to perform stratified filtering on error labels, and extraction for sentiment subjects and sentiment words is finished; and b, an SVM model is adopted to perform sentiment orientation analysis on word pairs according to the extracted sentiment subjects and sentiment words as well as introduced sentence structure features. According to the invention, the sentiment subjects and the sentiment words in review sentences are extracted together, further, sentiment classification accuracy in the sentiment orientation analysis is improved, so that the sentiment element extraction and sentiment judgment are improved, and F value is up to 76.3%; due to introduction of word meaning codes, the generalization ability and the robustness of a system are improved by virtue of the word meaning codes, and the accurate rate and recall rate of review result analysis are greatly improved.

The invention enables a system user to create a scenario that includes an analysis resolution, portfolio component data and analysis environment data. Once the scenarios are established, the system user can conduct processing/modeling/analysis in order to optimize the portfolio allocation data—effectively maximizing the return on the component investments, while minimizing the risk exposure for the portfolio. In achieving the optimization, the system can process stored user or system defined scenarios based on a series of modeling/analysis system modules. Further, it is possible for a system user to model, analyze and compare multiple scenarios historically or prospectively. The system may provide wealth outcome analysis which allows a user to determine likely long term outcomes of a particular investment plan, while accounting for the tax consequences of the chosen plan. In an implementation, the system is configured to store the modeling/analysis results and generate a scenario report. Further, the system can be configured to generate the report in a standardized format and automatically distribute the report to designated recipients.

The invention provides a distribution network reliability estimation method considering prearranged stoppage. The method comprises the following steps: inputting the distribution network data to a computer system and calculating a power flow in a normal operation condition by a computer; then carrying out enumeration calculation on the stoppage event of each component in the distribution network by adopting a state enumeration method; calculating the impact on the reliability index of the distribution network from the prearranged stoppage based on a feeder; and finally calculating the reliability index of the distribution network and outputting the reliability index. The method provided by the invention creatively brings forwards two ways for prearranged stoppage of the distribution network, namely, component-based prearranged stoppage and feeder-based prearranged stoppage; and meanwhile, the method respectively gives the definitions of the reliability indexes and the calculation methods, the reliability indexes of the distribution network which only considers fault stoppage can be calculated, and the reliability indexes of the complex distribution network which considers the impact of the prearranged stoppage can also be calculated, so the deficiencies in the existing fault mode and consequence analysis method, the blocking method and the like can be overcome, and besides, the model has good generality and is convenient for popularization and application. The method provided by the invention can be widely applied to the reliability estimation of complex medium-voltage distribution networks, especially for the reliability estimation of 6-10KV distribution network.

The invention relates to a system maintenance time distribution method based on operation decomposition, which comprises the following steps: 1. analyzing tasks, the step of analyzing the tasks comprises distribution request analysis, distribution object analysis, maintenance activity and influence factor analysis, wherein the distribution object analysis is mainly used for determining distributive system levels, functions and structural levels of all components of a device, and a product decomposed into the needed level by the system, namely, a replaceable unit, and mapping systemic functions and structural level diagrams; and the number of the levels is determined by complexity level of the device; 2. obtaining data, obtaining existing data of a distribution object required to be analyzed, namely, data of a similar product, fault frequency data, reachability data, testability data and the like; 3. selecting a distribution method, selecting high-level distribution or low-level distribution according to the stage of product design and the product level; 4. distributing indexes, distributing maintainability indexes of the given product to product units at all levels according to the selected method; 5. analyzing a result, judging whether a distribution result is in line with requirements and is feasible.

A system and method designed as a technical tool to accurately analyze the real time market trend dynamically in a simple effective way and also provide a simplified analysis that is easy to understand. A system and method that provides a user with more intuitive control of interface interactions and graphical interface visualization. The system and method of the present invention includes a trend stick chart, a power volume line, a 10 and 20 moving average line, and a price trend line. A trend trading method includes the steps of collecting price data of a tradable object in a given period in a market; generating the trend stick chart, the power volume line, the 10 and 20 moving average line, and the price trend line; combining and displaying the trend stick chart, the power volume line, the 10 and 20 moving average line, and the price trend line to form a resulted analysis for analyzing the tradable object in the market.

The invention discloses a network equivalent method based power distribution network reliability analysis method and system. The method includes the following steps: establishing a power distribution network reliability model; acquiring reliability parameters of each component, each feeder and each load point in a power distribution network; performing simplified equivalence on complicated units in the power distribution network by the aid of the network equivalent method; establishing a failure mode and a consequence analysis sheet of each load point, subjected to simplified equivalence, of the power distribution system by means of FMEA (failure mode and effects analysis); acquiring reliability parameters of the load points, and computing and comparing reliability indexes of the entire power distribution network before and after the power distribution network is combined with a grid and connected into a distributed photovoltaic power supply. The system comprises a reliability model establishing unit, a reliability parameter acquisition unit, a simplified equivalence unit, a failure mode and consequence analysis unit and an analysis comparison module. The network equivalent method based power distribution network reliability analysis method and system is clear in principle, simple in model, relative small in calculated amount, high in adaptability and easy to apply to practical engineering.

The invention discloses a method for establishing a predicated response system based on a wind turbine generator load database. The method comprises the following steps: (1) establishing a load database; (2) exploring a processing scheme of the load database, wherein the processing scheme comprises a first choice scheme and a secondary choice scheme, and the first choice scheme is a regression analysis method; and (3) analyzing and comparing a processing result of the first choice scheme and the processing result of the secondary choice scheme to establish a proper load prediction response system. The advantages and the disadvantages of the prior art are combined to quickly establish the proper prediction response system, the established prediction response system can solve a problem that a load adaptability analysis or anticipation method is low in response speed on model selection requirements, the quick response of the model selection and the micro-location selection of the wind turbine generator is realized through a quick "wind resource-load-strength-adaptability judgment" response mode of the predicated response system, the load situation of each point location can be quickly predicted to be obtained so as to basically realize the "refinement" of the load adaptability analysis.

A method for quantifying uncertainties related to continuous and discrete (qualitative) parameters descriptive of a medium such as an underground zone and/or for managing the selection of a scenario from a series of possible scenarios relative to this medium, by construction of experiment designs and results analysis suited to the experiment designs constructed.

The invention relates to a rainfall runoff measurement method, in particular to a hillside point rainfall runoff measurement method which belongs to the field of hydrologic forecast measurement in hydraulic engineering. The invention comprises measurement method steps, equipment, equipment mounting steps and the combination of measurement result analysis and calculation methods. The invention has the advantages that the hillside point rainfall runoff measurement method is provided to ensure that researchers can carry out precipitation quantity division through a physical method; the time sequence process of various runoff constituents can be measured; and the runoff yield space variation of the hillside can be obtained through reasonable arrangement.

The invention discloses a fault diagnosis system and a fault diagnosis method based on sequence and consequence analysis of an event tree. The system comprises a data input module, an event tree resolution module, a fault tree preprocessing module, a fault tree analysis module and a diagram display module, wherein the data input module is used for acquiring reliability data and structure data of a given system, and storing the data in modes of a fault tree model and an event tree model; the event tree resolution module is used for processing the given event tree model and the fault tree model, processing a successful branch of the event tree with a respective substitution method, and constructing a traditional sequence fault tree model and a consequence fault tree model; the fault tree preprocessing module is used for preprocessing the given fault tree model; the fault tree analysis module is used for performing fault mode analysis, probability computation, importance computation, sensitivity computation and uncertainty analysis on the given fault tree model; and the diagram display module is used for displaying a fault analysis result of the given system in a diagram form. The system and the method can accurately construct sequence and consequence fault trees, and perform various approximate computation and accurate computation on the successful branch of each function event of the event tree, so that the reliability is improved.

A method and systems of safety analysis of engineering processes for safety analysis of nuclear power stations are disclosed. A distribution of risk factors is analysed on different stages of the engineering process, and safety intervals are determined where safety conditions remain invariable. The method further includes analysis of failure transitions from one safety interval into another by means of cause-effect analysis. Based on the results of this analysis, deterministic safety models are created for possible scenarios of transition of failures from one safety interval into another. The method and systems provide quantitative safety analysis and evaluation for engineering processes in variable safety conditions and enable creating valid safety requirements to perform optimization of an engineering processes control system.

The evidence-based outcomes system is a multifunction web-based process to optimize performance of industry-specific programs. The system is applicable to virtually all industries which require optimized performance. However, the system is particularly applicable to the health care industry, which, of course, requires optimized performance. The system is further particularly applicable to bloodless medicine and surgery versus homologous medicine and surgery, which is an application with performance which is particularly sensitive to changes in input to the system. The system is typically implemented with an industry team of experts, a program team which collects and enters relevant data, a technology team which manages the relational database and a business team which uses evidence-based analysis of outcomes to develop and recommend policies that will enhance program financial performance.

Provided is a method for identifying the early failure root causes of products based on dimensionality reduction and a support vector machine (SVM). The method comprises steps of: 1, constructing a relevance tree conceptual model oriented to a fault feature; 2, constructing a failure root cause node big data model; 3, collecting product life cycle quality and reliability data; 4, constructing a principal component analysis technical model; 5, constructing a relevance tree based on the score of the principal components; 6, constructing a SVM technical classification model; 7, ranking the priorities of the nodes based on the SVM technical classification model; and 8, analyzing results. The method breaks through the redundant problem of high-dimensional big data from the point of view of product reliability formation big data, and fundamentally makes up for the imprecision and misjudgment of early failure mechanism cognition caused by ignorance of high-dimensional data characteristic space in a traditional sense, improves the recognition efficiency and accuracy of early failure root cause in big data environment, and provides manufacturers with clear objectives and objects to implement active early failure control strategy in engineering application.

One aspect provides a method of generating an infrastructure analysis report, including: accessing infrastructure data stored in a database relating to one or more fluid conveyance infrastructure assets, wherein the infrastructure data is one or more of sensed data, contextual data and institutional knowledge data; and generating an analysis report based on a failure risk and consequence analysis of the one or more fluid conveyance infrastructure assets. Other aspects are described and claimed.

The invention discloses a method for treating and alleviating cadmium adverse environmental stress damage to corn seedlings by the aid of exogenous brassinolide. The method mainly includes treating seeds and then planting the seeds; selecting 120 corn seedlings with excellent and consistent growth vigor and carrying out cadmium stress experiments on the corn seedlings; setting serial Cd<2+> stress concentration gradient, treating the corn seedlings by the aid of Hoagland nutrient solution, cultivating the corn seedlings for 10 d and then screening the optimal Cd<2+> stress concentration according to relative growth rates of the seedlings; setting 6 types of treatment solution by the aid of the brassinolide for Cd<2+> toxicity alleviating effect experiments and irrigating the corresponding 6 types of treatment solution to the planted corn seedlings; measuring various indexes of the corn seedlings after the corn seedlings are treated for 7 d; analyzing results and screening the most appropriate EBR (brassinolide) concentration. The method has the advantages that growth of the corn seedlings under stress of heavy metal cadmium can be effectively promoted by the exogenous brassinolide, accumulation of biomass of the corn seedlings can be increased, the activity of antioxidant enzymes in corn leaves under the stress of the heavy metal cadmium can be improved, the content of in-vivo active oxygen can be increased, electrolyte leakage under the stress can be reduced, and accordingly damage to plants under the stress of the heavy metal cadmium can be relieved.

The invention relates to a multi-sensing fusion-based juvenile basic athletic ability training system. The system comprises a somatosensory game device, an array-type flexible pressure sensor, a PC, adisplay and a cloud service platform; the somatosensory game device is provided with a Kinect camera and collects the limb movement information of players during a game playing process; the array-type flexible pressure sensor collects the foot pressure information of the players during the game playing process in real time; the PC compares the features of received information with features in a standard database, uploads the identity information of the players and training results to the cloud service platform in time, and intelligently executes training prescriptions; and the cloud service platform performs model calculation and result analysis on the received basic information of the players and the training results and evaluates the athletic ability of the players so as to generate personalized training prescriptions. The invention also discloses a training method for the multi-sensor fusion-based juvenile basic athletic ability training system. With the multi-sensing fusion-basedjuvenile basic athletic ability training system and the method of the present invention adopted, a closed-loop interactive training mode is formed, the interestingness of exercise can be enhanced, andthe improvement of the physical functions and basic motor skills of juveniles can be benefitted.

The invention provides an informationalized management design method for an information biology high-performance computing platform. Various experiment procedures, namely a plurality of links such as deoxyribonucleic acid (DNA) library construction, genomic sequencing, data processing, result analyzing, result producing and data sharing are generally involved in information biology, different skilled persons take part in all the links, and therefore the problems such as information loss and low efficiency in passing-on or taking-over of all the links can occur. An integrated set of method for systematically linking the whole links together does not exist so far, and a specialized tool for managing the biological information platform does not exist either. The management method aims at information of a high-performance computing laboratory of the information biology, and the purposes are standardizing procedure management in the stages of experimentation and computing in the information biology and improving work efficiency.

The invention provides an equipment efficiency evaluation result rapid analysis method based on a meta-model. theThe meta-model technology is introduced into the weapon equipment combat effectivenessevaluation modeling and evaluation result analysis process; T; the method depends on an attack-defense confrontation simulation deduction system. Analyzing and assessing task requirements, constructing an efficiency assessment index system, designing a simulation experiment according to input and output indexes of the assessment index system, obtaining a training and testing sample data set of theefficiency assessment meta-model, and fitting sample data by adopting a BP neural network model improved by a particle swarm algorithm to obtain a simplified meta-model of the efficiency assessment problem meeting the precision requirement; A; and an extended fast Fourier transform global sensitivity analysis algorithm is used to evaluate the analysis efficiency problems and sort the analysis efficiency problems from large to small. The method is suitable for digital modeling of the efficiency evaluation problem, rapid analysis of the sensitivity of the efficiency evaluation index and miningof the key battle technical index influencing the battle efficiency of the equipment.

The invention provides a self-adaptive disturbing signal processing recognition device of a wide-domain all-fibre disturbance sensor network system, which is mainly used for the pipeline monitoring of safety detection and monitoring, etc. of pipelines delivering various risky or high-value chemical products. Based on an all-fibre reflection interference distribution type sensor circuit system, a method which adopts wavelet denoising and ICA signal separation and characteristic extraction is provided, with the realization process of two contents: on the one hand, in a data signal register, mixed signals carried with various noises and disturbance information are read out, the signal pre-processing and separation thereof are carried out, the characteristic value is then extracted, a KNN recognition module is entered finally, and the type and property of the input signal are recognized; on the other hand, when the signals to be recognized are processed and recognized, the signals are input into a recognized signal register, after the recognized result analysis of the signals to be input is completed, a main controller decides whether to carry out the manpower interception to the input signals so as to determine the type and property of the input signals further.

A system and method for automated grain inspection and analysis of results, that inspects grains using a plurality of light spectra, analyzes the results, and produces detailed reports from the analysis.