287 results about "Effect analysis" patented technology

The invention relates to a centralized heating whole-network heat balance control method, in particular to a control system which is charged on area, which can eliminate the heat imbalance of the whole network and balance the heating effect. The control method adopts different control strategies for a heat source and two links of a primary side in the heating system so as to meet the requirement of users. For the heat source, the online prediction of the heat load is realized according to external temperature variation, and a running instruction is supplied for the heat source; a uniform control strategy is adopted for a primary network, automatic adjustment of a primary valve of a heat exchanging station of the heat network can be realized, a weighted value can be manually given to a special heat exchanging station, and the heat imbalance degree is used for analyzing and evaluating a whole-network heat balance control effect; and the control method can effectively solve the problems of the heating system such as imbalance heat and energy waste, a great amount of manpower and material resource can be saved in the adjustment process of the heat network, and the balance and consistency of the heat supply effect can be guaranteed.

The invention discloses a software FMEA (failure mode and effects analysis) method based on level dependency modeling. The method includes 1, understanding an object to be analyzed completely and deeply as required, and determining an analyzing target; 2, establishing a system-grade level dependency model by utilizing outline design as a reference; 3, selecting a module to be analyzed and determine a failure mode thereof, analyzing a failure influence propagation path and a failure reason tracing path to determine a failure reason and the failure influence and provide improvements according to system-grade level dependency model reachability node analysis; 4, selecting a detailed-grade FMEA analyzing object according to a system-grade FMEA result; 5 establishing a detailed-grade level dependency model on the basis of detailed design or a pseudo-code of the selected object to be analyzed; 6, selecting key variables to be analyzed according to the detailed-grade level dependency model; 7, determining a specific failure mode of the key variables to be analyzed, and analyzing producing reasons and failure influences of the variables and providing improvements according to detailed-grade level dependency model reachability node analysis.

The invention discloses a method for performing fault diagnosis by using model conversion. According to the method, processed related information of a fault mode effect analysis model is converted into a corresponding Bayesian network model by using a self-defined data structure while ensuring complete data, an elementary event, a logic gate and an intermediate event of a fault tree in a fault tree analysis model are converted into nodes in a Bayesian network respectively, and a corresponding conditional probability table in the Bayesian network is set. The fault diagnosis is performed through the converted Bayesian network model. The method of the invention expands the use of the Bayesian network model in the fault diagnosis, improves the diagnosis accuracy of a fault diagnosis model in practical application, ensures the universality of model conversion, and can realize cross-tool conversion among different fault mode effect analysis, fault tree analysis result and the generated Bayesian network.

The invention discloses a remote Chinese teaching system based on speech emotion recognition, which comprises six modules of Chinese pronunciation practice, speech emotion processing, speech emotion analysis, user management, learning effect analysis and evaluation and curriculum management. Relevant theory of speech signal processing and statistical signal processing is used for analyzing the speech that users input in the speech emotion processing module to recognize different emotion states of the users, the corresponding mental states are analyzed in the speech emotion analysis module and the purpose of individual study according to the emotions of the users is realized through the dynamic interaction of the learning effect analysis and evaluation module, the curriculum management module and the user management module. The designed proposal carries out complete revolution of traditional teaching with an 'extreme equalitarianism, even distribution' type and really realizes a teaching type according to different people, time and things. Teaching proposals are designed according to the emotions of the users, and can effectively promote learning efficiency and integrate teaching and happiness.

The invention relates to a teaching effect immediate feedback evaluation system. The teaching effect immediate feedback evaluation system comprises a campus network server, a class interaction feedback system, an analysis result inquiry system, a learning effect analysis system and a database. The class interaction feedback system collects answer information that students answer topics which a teach assigns in class in the database and transmits the answer information to the campus network server through a campus network. The learning effect analysis system compares the answer information with answers in the database, conducts statistic on answer results and analyzes the mastery degree of knowledge points. Parents, teachers or a principal can log into the campus network to inquire the answer results and the mastery degree of the knowledge points through the inquiry system. The evaluation system can automatically check homework and test paper of the students in real time, synchronously judge the mastery degree of the students on the learned knowledge points according to the conditions of the finished homework and test paper of the students, make conclusions, show the teaching effect of the teachers in a data form and provide reference for evaluating the teaching levels of the teachers and adjusting the teaching methods.

A computer-implemented method and a carrier medium adapted to generate a set of process parameter values for a lithography process based upon both critical dimension and overlay effect analyses of process parameter value variations is provided. In some cases, the computer-implemented method and a carrier medium may be configured to select a set of process parameter values to collectively minimize the number critical dimension and overlay variation errors produced within an image fabricated from the lithography process.

The invention provides a method for analyzing and designing a green building. In the method, a series of preliminary design conditions are provided for the design of the green building by computer-assisted design and multi-physical model analysis, and the optimal design conditions of the green building are obtained by weight calculation and analysis; based on the exterior environment of the building, weather conditions and various local renewable energy source conditions, the sorts and rules of available renewable resources can be obtained by establishing a sunlight analysis model, a wind field mathematic model, a noise physical model, a thermal conductivity effect analysis model, an interior daylight physical analysis model, a resource analysis model and the like, and inputting the basic data of rainfall, solar radiation intensity, wind speed, wind direction, geological exploration and the like; the feasibility of the utilization of geothermal resources and the renewable resources is obtained according to the calculation results of the resource analysis model; and on the basis of the feasibility, the final design of the shape of the green building is performed so as to provide boundary condition guide for the design of the green building.

The faults are described using a fault description which comprises data which have been determined using failure modes and effects analysis. The fault description is extended by information regarding the dependency of possible faults and the frequency of occurrence of said faults. The extended fault description is used to ascertain, for a prescribed fault event, the fault tree and the frequency of occurrence of the fault event.

The invention provides a layered water injection effect analysis method. The layered water injection effect analysis method includes the steps that data of a production well, an injection well and an oil deposit are obtained, and dynamic parameters and static parameters of the wells and the oil deposit are determined; the shooting oil layer longitudinal mobilization degree and the water injection strength of the water injection well are generated according to water absorption profile testing data in the dynamic parameters; a Lorentz curve model for describing the relationship between the accumulated shooting sandstone thickness and the accumulated water absorption amount is built according to the water absorption profile testing data and the water injection strength; the oil layer water absorption balance degree is calculated according to the Lorentz curve model so as to achieve layered water injection effect analysis. By means of the layered water injection effect analysis method, the proportion of the longitudinal mobilization sandstone thickness of the water injection well to the total shooting sandstone thickness and the water absorption balance condition of the shooting small-layer whole can be evaluated in a quantified mode; factors having influences on layered water injection are found in cooperation with the over-the-year actual measurement water injection profile, the stratum physical property, the sedimentary phase, the layered water injection tubular column structure and injection allocation data.

An operating strategy for effectively operating a system, such as a boiler system, is provided by quantifying operation of the system based on failure characteristics modeled in a computer processor performing failure mode and effects analysis (FMEA) to forecast damage mechanisms from operational parameters. One method includes determining operational consequences from inherent damage impact of fixed operational parameters, enabling instruments for operation with the processor for monitoring and diagnosing potential damage mechanisms, forming a graphic component map sufficient for user review of preselected system locations, and developing macroscopic in-service and out-of-service condition monitoring plans for the system. Detailed condition monitoring plans are then created from the macroscopic plans by the processor classifying each damage mechanism as one of active, incipient, incidental and passive, and processing each classified damage mechanism based on industry and local historical data for providing yield indices and propensities as reference for the FMEA.

A method to facilitate a failure modes and effects analysis (FMEA) project associated with one or more components or process during a product development cycle is provided. The method includes displaying on the user interface one or more information pages associated with sequential order of elements to be completed by one or more FMEA analysts. The method further involves receiving with an aid of the user interface textual inputs from the one or more FMEA analysts for the one or more information pages associated with the sequential orders of elements. The method further includes developing a risk chart for tracking a risk mitigation progress for the FMEA project associated with the one or more components or process during the product development cycle. The risk charts include a Criticality Matrix Risk Chart (CMRC) and a Pro-active Reliability Risk Chart (PRRC).

The invention discloses a building energy management and energy consumption data evaluation system and a method thereof. The system includes energy consumption intelligent instruments, namely energy measuring units, is provided with a concentrator, a communication server, a database server and a back-stage analysis/display module. The method includes the steps as, firstly, communication with the energy consumption intelligent instruments; secondly, real-time acquisition for data collected by the intelligent instruments; thirdly, data classification and measure unit unification of data of the same kind; fourthly, statistics analysis for energy data of the same type and at the same region; fifthly energy effect analysis chart display, and overproof warning based on the prejudgement; and sixthly, anticipated effect evaluation. Through the adoption of system and the method, the energy consumption data is synchronous, timely, complete, real and clear, combined with the actual energy consumption, the anticipated energy consumption can be analyzed and contrasted, the advanced wireless technology and related equipment for communication are adopted, so that difficulty of wiring is greatly reduced, and problems brought by wiring are eliminated, synchronizing management and detailed analysis are realized, and the management report and effect analysis report can be generated directly.

The present invention discloses an electronic information board advertisement putting effect analysis method based on face identification. The method comprises the following steps: S1, performing image collection; S2, performing sex determination and age determination of the face image; and S3, determining many related face images are the same person or not after determining the sex and the age of the person who waits for a train in the step S2 and performing passenger flow data statistics. Through the face statistics by employing the face monitoring camera and through the face identification algorithm analysis, the electronic information board advertisement putting effect analysis method based on face identification can easily determine the age and the sex, generate related report at a PC, transmit the statistics data on time and combine the advertisement play time to perform accurate statistics of the followers' age group, the sexes and the following time for each advertisement so as to provide powerful and accurate data support for the advertisement putting effect analysis and provide data basis for the advertisement operators' advertisement strategy determination.

The invention relates to a programming-language-course-oriented personalized learning effect analysis system and method. The system comprises a student cognitive ability assessment module, a practical ability assessment module and a feedback module. The method, based on programming-language-course-oriented general homework and program homework answering behaviors of students, assesses cognitive ability and practical ability of the students by utilizing a mathematical model training learning method, processes the cognitive ability and practical ability data through a data statistical method and feeds learning effect information to the students to realize personalized display. The system and method can judge cognition and practice two-way learning effects of the students, not only can give fair scores to the students more accurately, but also can instruct teachers to find knowledge weak parts of the students and to feed back the knowledge weak parts to the students in a personalized manner in time, thereby realizing a programming-language-course-oriented knowledge point granularity microscopic learning effect and learning trajectory establishment.

A method for performing failure mode and effects analysis of an intended process includes gathering data related to failures and deficiencies occurring in a similar process. Then, potential failures and deficiences are identified in the intended process by a first entity based on the gathered data. Finally, a failure mode and effects analysis is performed on the intended process by a second entity based on the potential failures identified by the first entity.

A method for predicting user loss of an insurance e-commerce platform comprises the following steps: step 1, collecting original data of a website client, and storing the original data in a data warehouse according to a user rule; Step 2, performing cleaning, integration and protocol preprocessing on the original data, and further extracting variables for measuring the user value from the integrated data set for user subdivision; Step 3, selecting a reasonable observation variable and a proper user subdivision algorithm to carry out user classification; 4, selecting corresponding variables influencing user loss for different user groups, and performing user loss probability prediction respectively; 5, different prediction algorithms are selected for different types of users respectively, the model effect is evaluated through indexes such as the accuracy rate and the recall rate, and when the model effect is optimal, the final loss probability of the different types of users is output;And step 6, performing classified management on different types of lost user groups, performing group feature description respectively, and providing data reference for revocation strategy design so as to realize refined marketing and perform subsequent marketing effect analysis later.

The invention relates to a method for monitoring the current-carrying capacity of a power cable, which comprises the following steps that: 1, a sensor sends acquired data to a processor; 2, according to the data, the processor combines cable engineering basic data to establish a heat balance finite element model; 3, a comparison module of the processor compares data of the heat balance finite element model and data of a cable temperature field model, if the data difference is greater than a threshold value, the step 4 is executed, and if the data difference is less than the threshold value, the step 5 is executed; 4, after the heat balance finite element model is corrected by a model correction module of the processor, the step 3 is executed again; and 5, the comparison module outputs the data of the heat balance finite element model and sends the data to a mode identification module to carry out dynamic mode identification and simultaneously, the current-carrying capacity analysis, the trend analysis, the surge summation effect analysis, the early warning and warning identification and the optimization of a power transmission and distribution scheme are carried out. Compared with the prior art, the method has the advantages of high measurement accuracy, more measurement data and the like.

The invention discloses a grid assist-based network flow branching method comprising the following steps of: collecting the grid data, drawing the grid effect according to the grid data, analyzing the reason of flow difference according to the grid data and the grid effect, and dealing with the flow difference. In the method provided by the invention, web users using a TD (Time Division) terminal and a WLAN (Wireless Local Area Network) terminal in a 2G (The 2nd Generation Telecommunication) network are accurately positioned, and the behaviors of the web users are analyzed for judging the needs of the web users for network bandwidth, in combination with the accurate position information and the user behaviors, and the web users are guided to use the TD network and the WLAN network as far as possible to surf the Internet by market-based means and technological means, thus, the utilization rate of the 2G network is reduced. The floor-based information, such as the hot spot region, the users and the user group, is found out by the grid-based G/T (GSM/TD) dual-network flow branching method, and provided for a market department to carry out flow branching; and short boards of network construction and network optimization are found out by the grid-based G/T dual-network flow branching method.

A method and system to facilitate failure modes and effects analysis (FMEA) of one or more components of a system. The FMEA is indicated with the generation of an FMEA form. A graphical user interface provides a sequential order of completion for a number of steps. The steps are followed to generate graphical representations which are to be completed by an FMEA analyst and received by the graphical user interface to facilitate generating the FMEA form.

The invention provides a heavy oil thermal recovery microscopic displacement experiment system. The heavy oil thermal recovery microscopic displacement experiment system comprises an injection system, a model system, an output system, and an image acquisition and analysis system. The injection system is provided with a power source to provide displacement thermal fluid. The model system receives the displacement thermal fluid provided by the injection system, and uses an inert gas to apply and control circling pressure on the periphery of a micro model, so as to carry out a displacement experiment on heavy oil by the thermal fluid. The output system receives output liquid after the displacement experiment, and maintains certain return pressure. The image acquisition and analysis system performs dynamic observation and shooting on a microscopic displacement process, and researches microscopic percolation characteristics and displacement mechanism. Through improving heating heat-retaining property and sealing property of the experiment system and return pressure control design, the heavy oil thermal recovery microscopic displacement experiment system makes an experiment process and an experiment method more reliable. The system can carry out heavy oil thermal recovery microscopic displacement experiments, and researches displacement effect analysis and displacement mechanism.

The invention provides a rock burst control method for a coal mining tunnel. The control method comprises the following steps: firstly, arranging detection devices in an upper tunneling tunnel and a lower tunneling tunnel, and carrying out analysis and judgment to find the key control area of a rock burst; tunneling a first guiding pressure relieving lane towards the center of the key control area along the upper tunneling tunnel; tunneling a second guiding pressure relieving lane along the lower tunneling tunnel, drilling explosion pressure relieving holes in the first and second guiding pressure relieving lanes towards top plate surrounding rock and bottom plate surrounding rock, mounting explosive into the holes, sealing the holes with yellow mud, and exploding the key control area for pressure relief and danger relief; conducting analysis and examination on the pressure relieving effect, and repeating the steps till the analysis and examination result meets the standard. The control method has the advantages that as the two guiding pressure relieving lanes are arranged in the center of the key control area, and deep hole pressure relieving explosion is carried out in the guiding pressure relieving lanes, centralized stress is transferred to a deep part, energy of the surrounding rock can be relieved sufficiently in advance, hazard of the rock burst can be reduced, rock burst is avoided, and the safe production of a mine is guaranteed.