76results about How to "Flexible analysis" patented technology

Information of failure events from various network devices and service objects is written into original event list. Correlation analysis is carried out for events read by analyzing and controlling engine from the original event list according to levels of original event and selection of classes. The dynamic analytical algorithm synthetically handles information in each area such as scene of historical fault analysis, dynamic performance parameters of network, dynamic topology information and time character of event etc. comparing with prior art, the invention overcomes disadvantages of overlooking information of dynamic network state, dependent on preset rule and lack of auto study ability etc. The invented method provides effective correlation analysis, fault reason analysis and location in real time when storm of network fault happens.

The invention discloses an energy consumption monitoring method and an energy consumption monitoring system. The energy consumption monitoring method comprises the following steps: acquiring energy consumption data of energy consumption equipment; carrying out multidimensional analysis processing on the energy consumption data to generate a multidimensional data set cube; performing energy consumption analysis on the energy consumption equipment based on the energy consumption data in the multidimensional data set cube. The technical scheme of the invention provides the efficient energy consumption monitoring method and the efficient energy consumption monitoring system, which perform the multidimensional analysis processing on the energy consumption data, and provide a reasonable reference base for energy conservation and emission reduction.

The invention discloses a dynamically extensible cloud auditing method based on multi-Agent. The method includes steps that every host loads and operates an Agent event collection subsystem and an Agent event analysis subsystem; the collection subsystem and the analysis subsystem serve as background processes to collect and analyze auditing information in a monitored cloud auditing system, and transmit data to a central administrator server; a GUI (Graphical User Interface)client-side is used for checking status of every host; the central administrator server and a data base are used for receiving data and reports from the hosts, controlling communication information of the whole cloud auditing system, and analyzing and store received safe auditing events; a Windows Agent subsystem bottom calls application programming interface of the system to access to contents of Windows events, then the contents are normalized to system log events to be sent to the Agent event analysis subsystem; and an Linux Agent system bottom uses an event collection module to collect data.

The invention provides a memory computing-based customizable multimode big data processing system. The system comprises a data storage layer module, a memory-based data sharing and management layer module, a memory computing-based universal execution framework layer module and an access interface layer module, wherein a distributed memory abstraction mechanism, a position-sensing scheduling mechanism and a distributed hybrid column storage mechanism of data are adopted. According to the system, massive data storage is constructed; a cluster concurrent computing-oriented memory data management and sharing framework is provided, and an efficient and customized big data multimode universal processing framework is provided; batch processing and real-time data stream computing are supported; and the support is provided for flexible analysis and deep utilization of the data.

The invention discloses an internet of things (IOT)-based visualization system for working conditions of electric forklifts. The system comprises a data obtaining module, a data preprocessing module,a data storing module, a chart drawing module and an interacting and displaying module. According to the system disclosed by the invention, the speed and the positions of the forklifts and the weightof transported goods are displayed in real time in a background dispatching center according to IOT data of operation states of the forklifts, which are transmitted to a server by a gateway; visual charts such as maps, columns, broken lines and the like of the use efficiency of the forklifts, the remaining amount of batteries, the speed change curves of the forklifts, the total traveling distancerecords and the like of every day, every week and every month are generated and displayed in real time by using the processed data; managers can master the working conditions of the forklifts in realtime and switch among different views according to the needs to comprehensively judge the working efficiency of the forklifts, predict and analyze the service life states of the forklifts and reasonably select allocating and scheduling schemes of tasks according to the workshop operation requirements; and therefore, finally, the service efficiency of the forklifts and the warehouse work efficiencyare improved and the service life of the forklifts is prolonged.

The invention relates to a signal separation method based on fractional wavelet transform. The signal separation method solves the problem that the traditional wavelet transform method has poor effects on non-stationary signal analysis and treatment. The signal separation method comprises the following steps: determining the order and the layer number of the fractional wavelet transform accordingto parameters of input signals, calculating a transform coefficient of the detailed part of each layer by fractional wavelet transform, calculating signal energy which corresponds to the detailed partof each layer according to the transform coefficient, comparing the signal energy with a set threshold value, retaining the transform coefficient which corresponds to the detailed part of the layer and recording and storing the retained detailed part if the signal energy is larger than the set threshold, and abandoning the transform coefficient which corresponds to the detailed part of the layerif the signal energy is smaller than the set threshold. The signal separation method is applicable to the treatment and analysis occasions of non-stationary signals.

The invention discloses a debugger, comprising an interface conversion chip, a power supply module, a USB interface module and a communication interface module. The interface conversion chip is connected with the power supply module, the USB interface module and the communication interface module. The USB interface module is connected with an upper computer. The interface conversion chip comprises a first channel interface and a second channel interface. Both the first channel interface and the second channel interface carry out transparent data transmission with the USB interface module. The communication interface module comprises a plurality of communication interfaces. The first channel interface and the second channel interface are respectively connected with one communication interface of the communication interface module. The first channel interface and the second channel interface work at the same time. According to the debugger, two-channel and multi-communication protocol interconnection can be realized, and the development efficiency of a developer is improved.

The invention discloses an A/B testing method and device aiming at a recommendation strategy. A global sole identification number is allocated for each recommendation request, recommendation strategyinformation which includes each recommendation strategy name and the global sole identification number corresponding to each recommendation request and is called in response to each recommendation request is recorded, and pingback information returned by a client side is collected and comprises the global sole identification number of the recommendation request corresponding to the pingback information, according to the global sole identification number, corresponding relations of the recommendation strategy names and the pingback information are determined, and based on data of the multiple determined corresponding relations, recommendation effect analysis is conducted. According to the A/B testing method and device aiming at the recommendation strategy, the global sole identification number is adopted to mark the data generated in one request process and is utilized to associate relevant data, the effect analysis is conducted based on the associated data, collection of the strategy names in the whole path is avoided, and any service strategy in a multi-layer service structure can be subjected to independent effect analysis.

The invention relates to the field of electric power system simulation, in particular to a visual modeling method for the simulation data of a power distribution network cyber-physical system. The method comprises the following steps that: (1) determining an analysis target; (2) selecting an analysis angle; (3) constructing a data analysis and calculation model; (4) configuring an analysis resultdatabase; (5) constructing and configuring an analysis topic diagram; and (6) carrying out the visual displaying of analysis result data. By use of the method, the analysis modeling problem of a greatquantity of historical simulation data of the power distribution network cyber-physical system and the visual displaying problem of the analysis result are solved, the simulation data analysis of complex research contents, including the state evolution properties of the power distribution network cyber-physical system, the dynamic interaction influence of an information system and a physical power grid and the like under the function of multiple correlation events and the information system under a situation that the cascading failure of the power distribution network cyber-physical system isin the presence is realized, and therefore, complex and diversified simulation data analysis requirements under a power distribution network cyber-physical system environment can be met.

The invention relates to a classroom teaching analysis and quality evaluation system and method based on behavior and expression intelligent identification. The classroom teaching analysis and qualityevaluation system comprises an image data acquisition module, a data intelligent identification module, a classroom teaching index analysis module, a teaching comprehensive analysis and quality evaluation module and a teaching analysis report output module which are connected in sequence. Classrooms are used as carriers, based on a classroom camera monitoring system, data acquisition, classification and identification, quantitative analysis and teaching depth fusion of behaviors and expressions are focused, visual analysis results are output by analyzing various index data of behaviors and expressions of students and teachers in a classroom, and finally scientific and comprehensive teaching comprehensive analysis and quality evaluation are realized in combination with teaching expectation. According to the classroom teaching analysis and quality evaluation system, the full view of classroom teaching is comprehensively presented through visual data analysis, the problems that studentsare not specific in class and the teaching effect is not high in a current efficient classroom are solved, and the classroom teaching analysis and quality evaluation system has great practical value for teaching evaluation institutions and teaching improvement of teachers.

The invention particularly relates to a water quality mathematical model optimization method based on big data and parallel computation. The water quality mathematical model optimization method includes carrying out packet processing on massive data needed for the model operation, optimizing the calibration and operation process of a traditional water quality mathematical model by a parallel calculation method, and carrying out dynamic integration and evaluation on data of the calculation results, thus improving the quality of the water quality mathematical model, the computing efficiency andthe precision of computing results. The water quality mathematical model optimization method based on big data and parallel computation solves the problems of model calibration and calibration causedby insufficient measured data and the long processing time of super big file water quality data, can carry out grouping and high-efficiency processing on enough hydrological data, also realizes calibration and correction of the water quality mathematical model, solves the difficulty of super-big file processing and low efficiency, and improves the calculation efficiency of water quality mathematical model.

The invention discloses an aero-engine compressor unsteady flow visualization method which comprises the following steps: taking a single-channel grid as an input/output full-ring grid, and marking acompressor blade row where each grid block is located; Distributing all the grid blocks to different processes, independently outputting the flow field on the distributed grid blocks by each process when the flow field is stored, and establishing a folder for each leaf row; sequentially reading the flow field data of each blade row, and calculating flow field parameters; and outputting a flow field visualization file according to the interface standard of the visualization software Tecplot. The system has the capability of visualizing unsteady mass flow field data of the multi-stage compressoron a single machine; the multi-stage compressor has the capability of extracting and independently processing any blade row in the multi-stage compressor; the method has the capability of automatically extracting the two-dimensional tangent plane and the capability of reducing the size of the flow field file by about one order of magnitude.

The invention discloses an advertisement budget obtaining method and device, a storage medium and a processor, and the method comprises the steps: obtaining advertisement putting historical data, andobtaining a channel factor, a business index constraint condition, an advertisement budget constraint condition, and a target business index which needs to have an optimal value and is used for measuring an advertisement putting effect; Constructing an optimization target model based on channel factors, constraint conditions of business indexes and constraint conditions of advertisement budget byusing historical advertisement putting data, and constructing a constraint relation model based on the constraint conditions of the business indexes and the constraint conditions of the advertisementbudget; And determining the value corresponding to the advertisement budget when the value of the target business index is determined to be optimal through the optimization target model and the constraint relation model. Due to the fact that the optimization target model and the constraint relation model are constructed on the basis of the currently obtained information, analysis on channel factors and business indexes is flexible, and the method can be applied to various business scenes and is good in universality.

A built-in redundancy analyzer and a redundancy analysis method thereof for a chip having a plurality of repairable memories are provided. The method includes the following steps. First, the identification code of a repairable memory containing a fault (“fault memory” for short) is identified and a parameter is provided according to the identification code. The parameter includes the length of row address, the length of column address, the length of word, the number of redundancy rows, and the number of redundancy columns of the fault memory. Since the parameter of every individual repairable memory is different, the fault location is converted into a general format according to the parameter for easier processing. A redundancy analysis is then performed according to the parameter and the converted fault location, and the analysis result is converted from the general format to the format of the fault memory and output to the fault memory.

The invention discloses a 3D chip signal coupling analysis system and method based on machine learning, and the method comprises the steps of obtaining S parameters of TSV through holes under different radius and height of the TSV through holes and distance parameters between the through holes through a TSV through hole 3D model, and respectively storing the S parameters into an S2P file; buildinga TSV through hole RLGC equivalent circuit model, and obtaining circuit parameters of the RLGC equivalent circuit under the corresponding size according to the S2P file; using the radius and the height of the TSV through holes and the distance parameters between the through holes as the input of the BP neural network; and taking the circuit parameters of the RLGC equivalent circuit as the outputof the BP neural network, training the BP neural network, and performing S parameter simulation analysis according to the output of the trained network to obtain an analysis result which is the transmission characteristics of the TSV 3D model under the corresponding size. According to the neural network, actual model simulation and optimization results are adopted as a training set, analysis of circuit performance under different conditions is more flexible, and higher accuracy is achieved.

The invention provides a visual data processing method of a distributed hydraulic system. The visual data processing method comprises the following steps of step 1, controlling a plurality of parallel experiment tables through a central server, wherein multiple ways of data signals are generated by each experiment table, caching the data signals, the generation time of the data signals and the equipment type in a local database in a real-time manner, and then uploading the content stored in the local database to the database of the central server through a master/slave mode; step 2, constructing a user interface on a visual interface, managing and searching the data signals in the central server by utilizing the user interface according to the authority, wherein the time is accurate to the second; step 3, constructing a data analysis interface on the visual interface, putting a data analysis process in the second consumer cycle in two producer/consumer cycles so as to take waveform data constructed in the second consumer cycle as an input, carrying out multifunctional data analysis while searching data, and uploading an analysis result to the central server.

The invention provides an automatic simulation method, a device, equipment and a storage medium. The method comprises the steps: obtaining a target sample containing at least two pixel-level sample sets from a database, carrying out the automatic traversal simulation of the target sample through a script, and storing a simulation result in a list file. In this way, under the condition that a plurality of pixel-level samples exist, the problem that in the prior art, sample files of different pixel levels need to be compiled and simulated in the mode of manually modifying related configuration files can be solved, simulation efficiency is improved, and the simulation result of the target sample can be flexibly checked and analyzed.

The invention provides an express cabinet storage resource optimization-oriented reward and penalty strategy method, and aims to solve the problem of express cabinet storage resource and express cabinet enterprise profit optimization in an express cabinet storage process. An existing express item overtime fee collection strategy of an express cabinet causes dissatisfaction of numerous users, and the users puts forward doubts on express cabinet charging behaviors. The development of the express cabinet cannot be supported by the user, and only by pushing out a charging standard which can be accepted by the user, the problems occurring in the operation process of the express cabinet can be further solved. According to the invention, reward and punishment strategies are combined, the user is motivated to pick up the parcel from the forward and reverse directions, the enthusiasm of the user to pick up the parcel is improved, and the queuing system is utilized to simulate the process that the courier puts the parcel into the express cabinet and then takes out the parcel by the user, so that the turnover rate of the express cabinet and the enterprise profit of the express cabinet are improved while the interests of the user are guaranteed.