53results about How to "Realize dynamic analysis" patented technology

The invention discloses a realizing method of engine system of political examination and approval working flow, which comprises the following steps: transmitting complex working flow into control model and data flow model of engine system; extracting flow information through engine system to analyze and operate; transplanting the complex examination and approval business into the system; allocating different resources according to different examination and approval businesses; proceeding individual allocation for the resource on the flow model; defining the data limit and individualization of resource difference of the system; butting the business among departments seamlessly under combined examination and approval condition; realizing uniform dispatching and information sharing.

The invention discloses a 3D visualized smart water affairs operation system. The system comprises a sewage plant automatic control module, a sewage plant optimization module, a pumping station automatic control module, a water quality monitoring module, a plant area display module, a video monitoring module, an equipment management module, an energy consumption management module, an intelligent tour inspection module, a pipe network management module, a data analysis module and a mobile end module connected with a central database via a central scheduling module; the video monitoring module is connected with the data analysis module; and the data analysis module is connected with the central database and the central scheduling module. According to the system, a 3D virtual reality technology is used, a complete remote monitoring, early warning, scheduling, disposal and control system is established, an intelligent integrated command platform and mobile tour inspection equipment are constructed in an integrated manner, the capability of coping with change is improved, operation management is made digital, informational, modern, automatic and intelligent, remote data monitoring and control are realized, and the management efficiency and precision are improved greatly.

The invention provides an oil field geographic information and exploration development collaboration work platform system. The system comprises an exploration development part and a geographic information part. The exploration development part comprises a data layer, an application service layer and a service research layer. The data layer quotes from external data, sets up various databases, and provides the support for the application service layer and the service research layer. According to the geographic information part, integrated platform database building, GIS service function development, data service function development, system service function development and ground geographic information and underground exploration development combination are involved. Ground and underground information system deep fusion is achieved, the oil reservoir geology and an oil reservoir are dynamically unified, ground engineering and underground geology are unified, exploration information and development information are unified, oil field digitalization construction is promoted, and a powerful guarantee is provided for production capacity constructing and potential tapping of an oil field.

The invention provides a vehicle driving behavior processing method and an apparatus, and relates to the field of internet of things. The vehicle driving behavior processing method comprises the steps of acquiring the position information of a vehicle; determining the road information at the position of the vehicle according to the position information of the vehicle; according to the road information, determining a driving behavior judgment standard; acquiring the driving data of the vehicle and judging whether the driving behavior is abnormal or normal according to the driving data of the vehicle based on the driving behavior judgment standard. The driving data of the vehicle comprises the vehicle speed data, the steering data, the braking data and/or the acceleration data. Based on the above method, the position of the vehicle can be positioned and the road section condition of the vehicle can be acquired. Meanwhile, different driving behavior judgment standards are set for the different road conditions, so that the dynamic analysis on the driving behavior can be realized more accurately. Therefore, the analysis accuracy of the driving behavior is improved, and the driving behavior is standardized. The occurrence of road congestion and traffic accidents is reduced.

The application relates to a river and lake environment information management system including a river chief mobile terminal and a server; the river chief mobile terminal includes a task acquisitionmodule, a river patrol recording module and a task progress recording module; the task acquisition module is used to obtain a river patrol task and/or an environmental management task issued the server; the river patrol recording module is configured to acquire patrol record data of a patrol person and send the patrol record data to a patrol statistics module of the server; the task progress recording module is used to obtain check record data of a check person and send the check record data to a check statistics module of the server; the patrol record data includes current image data, currentlocation data and time data of a patrol object, so that the river and lake environment information management system can ensure that the patrol person can effectively implement and complete the patrol task, and data fraud during the river patrol task can be effectively avoided.

The invention provides a traffic accident prediction method based on an unbiased non-homogeneous grey model and a Markov model. The method includes obtaining the unbiased parameter estimation form ofthe unbiased non-homogeneous grey model by establishing the initial data of the traffic accident number and utilizing a unbiased non-homogeneous albinism differential equation, and calculating a parameter estimation value; and then taking the relative value of the fitting value and the initial value of the unbiased non-homogeneous grey model as a basis of state division, and dividing the prediction value into three states; establishing a prediction model based on the unbiased non-homogeneous grey model and the Markov model; simulating the number of the traffic accidents by utilizing the established prediction model, and predicting the future accident data values. According to the invention, the non-homogeneous exponential function is fitted through the unbiased non-homogeneous grey model,and the prediction result is corrected through the combination with the Markov chain, the improved three-step state transition probability matrix is utilized to further improve the prediction precision, and the dynamic analysis of the data is realized.

The invention relates to a prediction method for a yield change trend of a high-water-content tight gas reservoir gas well. The prediction method comprises the steps that 1, production data of a production well are obtained and preprocessed; 2, a gas-water two-phase density diffusion equation taking density as a main variable is established; 3, the gas-water two-phase density diffusion equation with the density as the main variable is solved, and a flow state equation of the whole seepage process based on density diffusion is obtained; 4, a flow state is judged, a flow state model is selected,reservoir reconstruction parameters and reservoir physical property parameters are solved in combination with the preprocessed production data, and the yield change rule of the gas well under different working systems is predicted. According to the method, the dimensionless viscosity-compression coefficient ratio lambda changing along with time and the time average value beta approximate linearization density-diffusion coefficient are introduced, the real-time dynamic water-gas ratio is introduced, joint analysis of water-gas two-phase flow is achieved, physical characteristics of a functionare reserved, the method is convenient and rapid, and parameter calculation and dynamic analysis can be achieved.

The application provides a network security processing method and device. The network security processing method comprises the following steps: extracting the download path information from the mirrortraffic between a first client and a target cloud host; downloading a target file from the target cloud host according to the download path information; performing security detection on the target file, so as to confirm whether target file belongs to a non-secure target file or not; and marking the download path information as a non-secure object if the target file is a non-secure target file. The network security processing method can effectively prevent the client from being damaged by non-secure data.

The invention provides an application coding and decoding method and device for intelligent equipment, and an application system. The application coding method comprises the following steps: acquiringa user instruction model, and combining with a protocol rule configuration file, coding the protocol rule configuration file into a protocol message; or, receiving the protocol rule configuration file from a cloud server, and coding the protocol rule configuration file into a protocol message; the application decoding method comprises the following steps: receiving a protocol message sent by theintelligent equipment, according to the protocol rule configuration file, decoding the message into a data model which can be displayed by the view, refreshing the page of the current state accordingto the data model, thereby, the dynamic analysis of the intelligent equipment protocol can be realized, and the access efficiency of the intelligent equipment is improved.

The invention relates to an intelligent substation sequence control double confirmation realization method. The method comprises the steps of firstly configuring a double confirmation condition set ofa primary equipment sequence control operation step and a self-defined logic relation and associating the sequence control task operation step with each other to construct a sequence control servicedata relation; 2 obtaining a sequential operation step of that device, traversing the double confirmation condition set associate with the current step after the pre-operation condition check passes,and recording the real-time state of each confirmation condition; after the step is successfully remotely controlled, obtaining the logic relation of the double confirmation condition bound by the step, extracting and analyzing the dynamic change of each confirmation condition, and judging the overall logic relation to be tenable. The invention adopts the dynamic analysis algorithm to realize thedouble confirmation function of the intelligent substation sequence control, and improves the reliability of the software. The visual user-defined mode is used to configure double confirmation condition set and logic relation, which can flexibly adapt to different requirements of site and users, and improve the universality and ease of use of intelligent substation sequence control software.

The invention relates to a method for analyzing multi-line multifunctional domain names of a network and provides the method for analyzing the multi-line multifunctional domain names and comprises broadband terminal software installed in a broadband terminal which is accessed in the network by a TCP/IP protocol. The method comprises the following steps: (a) arranging a server at the center end for users to use a multi-line multifunctional domain name analyzing platform; (b) mounting the broadband terminal software on the broadband terminal; (c) applying user names and passwords on the server of the center platform; (d) setting related parameters of the broadband terminal software; and (e) enabling the server of the center platform to receive data submitted by the broadband terminal software and analyzing the multi-line multifunctional domain names of the related parameters according to the data submitted by the broadband terminal software.

An embodiment of the invention discloses a method for obtaining graph structural description information. The method includes that a structure of a graph is extracted in a given graph; the structure of the graph is converted into an information flow graph, the information flow graph is used for representation of an information flow space defined by the structure of the graph, and each node in the structure of the graph carries out information flow according to information flow rules in the information flow graph; the initial information amount of each node in the information flow graph is determined in the structure of the graph; according to the initial information amount of each node, according to the information flow rules, the information amount of each node at a preset time point is calculated; and according to a time sequence of information distribution formed by information amounts of all the preset time points, the structural description information of the graph is determined. The method for obtaining the graph structural description information achieves dynamic analysis for the structure of the graph, dynamic description information of the structure of the graph is obtained, the information amount of the structural description information of the graph is increased, and the structure of the graph can be effectively described.

The invention provides an ultrasonic imaging broadband signal transmitting and processing method and a corresponding system thereof. The method comprises the following steps: configuring primitives and transmitting channels on probes to form one-to-one corresponding mapping relations, and ignoring primitives and/or transmitting channels which do not form the mapping relation; and configuring different transmitting center frequencies for the mapping relations according to the distance between the primitives or the transmitting channels with the mapping relations and the transmitting aperture center, wherein the closer the distance between the primitives or the transmitting channels is, the higher the correspondingly-configured transmitting center frequency is. The method configures different emission center frequencies for the mapping relations according to the distance between the primitives or the transmitting channels with the mapping relations and the transmitting aperture center, and can realize broadband signal transmitting; and effectively improves the transverse resolution and penetration power of far-field images, and improves the consistency of the near-field, middle-fieldand far-field images.

The invention relates to an underground engineering rock mass structure information intelligent interpretation and cloud remote surrounding rock grading method. Research and development are performedbased on a platform C + +; the image characteristics of the fractured rock mass are fully considered; the tunnel face rock mass image is subjected to gray scale transformation, edge sharpening, secondary filtering and other operations, feature extraction of a rock mass structure is achieved based on a morphological algorithm, multi-parameter representation of the rock mass structure is conducted through the fracture rate, the fractal dimension, the surface density, the joint interval, the joint trace length, the joint middle point number and the like, and corresponding data recording and summarizing are conducted in time. The method is based on the engineering rock mass grading standard; a system reliability analysis theory is introduced for analyzing rock mass strength and rock mass integrity coefficient probability distribution rules, the performance functions of different surrounding rock grades are constructed, the reliability probability that the surrounding rock belongs to each evaluation grade is calculated through a Monte Carlo method, a corresponding rock mass structure cloud information data integration platform is constructed accordingly, and reliable data support is provided for tunnel construction and follow-up analysis.

The invention discloses a suspension and plate spring motion analysis method and system, and the method comprises the following steps: carrying out the segmented simulation of a plate spring, and obtaining a plate spring equivalent model; calculating data parameters of the plate spring equivalent model; obtaining a dynamic simulation hard point skeleton-level model of the suspension; and inputtingthe data parameters of the plate spring equivalent model and preset suspension dynamic parameters into the dynamic simulation hard point skeleton-level model to obtain kinematic characteristic data corresponding to the suspension and the plate spring. According to the method and system, the plate spring can be simplified into the plate spring equivalent model, so that the plate spring is combinedwith the whole suspension mechanism, dynamic simulation of a whole suspension system is achieved, high-similarity plate spring motion simulation is achieved, dynamic analysis of suspension inclination bounce can be achieved, and a guiding effect on design of peripheral parts of the front portion is achieved.

The invention discloses an oil and gas field dynamic analysis method. By an empirical analysis method in a block, the develop scheme including the following steps is firstly obtained; then, the scheme is subjected to simulation analysis by combining a theoretical analysis and mathematical model; if the analysis result of the mathematical model is identical or similar to the result deduced by theory, the scheme is adopted for regulation; otherwise, a block with the identical or similar property is found by an analogy analysis method; the analogy analysis is performed; a final regulation scheme is obtained. The oil and gas field dynamic analysis method has the advantages that various dynamic analysis methods are adopted for mutual compensation and mutual verification; the problem of single mode of oil and gas field dynamic analysis in the prior art is solved; the goal of oil and gas field dynamic analysis through mutual verification by various methods is realized.

The invention discloses an oil and gas field dynamic analysis method. A next step development scheme is obtained firstly through block internal experience analysis, then the scheme is subjected to simulation analysis in combination with theoretical analysis and a mathematic model, and if an analysis result of the mathematic model is as same as or similar to a theoretically derived result, the scheme is adopted to perform adjustment; or otherwise, an analogy analysis method is adopted, blocks with same or similar properties are found out, and analogy analysis is performed to obtain a final adjustment scheme. Multiple dynamic analysis methods are adopted for mutual complementation and mutual verification, so that the problem of single oil and gas field dynamic analysis mode in the prior artis solved and the purpose of performing oil and gas field dynamic analysis in a mutual verification manner through multiple methods is achieved.

The invention relates to the technical field of aircraft testing, in particular to an aircraft test airflow organization design method. The purpose of designing a high-uniformity temperature field in an extreme climate environment in an ultra-large space is achieved through a method comprising the steps of defining a design boundary of an air flow structure, preliminarily designing and analyzing the steady-state air flow structure, checking the air flow structure under transient maximum heating/cooling and checking the air flow structure under real maximum thermal load. Technical support is provided for design of related air treatment systems and laboratory layout; according to the design method provided by the invention, the design of the airflow structure with high uniformity and low wind speed field is completed by stages, and the comprehensive analysis and design of the airflow structure can be completed in a short time; in addition, ground convective heat transfer coefficients under factors such as different air supply flows and air supply temperature differences are considered and serve as input parameters of ground temperature response analysis, and airflow organization can be analyzed and checked more accurately.

The embodiment of the invention discloses a program monitoring system, a method and a readable storage medium. The program monitoring system comprises at least one program behavior detection module and at least one program behavior analysis module which operate in a cluster distribution mode, and at least one detection code corresponding to a program test requirement is injected into a corresponding operation program. The method comprises the steps of obtaining program running behavior data of the running program, determining an analysis result by analyzing the program running behavior data, and determining a corresponding program optimization method according to the analysis result. Therefore, dynamic analysis and optimization of the running program are realized, the program code optimization efficiency is improved, and the time and cost required by program optimization are saved.

The invention discloses an air thermochemical oil-gas in-situ hydrogen production and modification simulation system. The system comprises an oxygen supply module, a raw material injection module, a reactor module, an oil-gas-water separation sampling module and a sample analysis module, an inlet of the reactor module is connected with the oxygen supply module and the raw material injection module through pipelines, an outlet of the reactor module is connected with the oil-gas-water separation sampling module through a pipeline, and an X-ray diffractometer and a nuclear magnetic resonance miniature sensor are further arranged in the reactor module and used for measuring the temperature and material distribution in the reactor; according to the invention, the temperature and product distribution in the simulated stratum can be clearly and intuitively detected, so that the experiment can more truly simulate the in-situ hydrogen production and modification reaction process of the stratum, and the method has important significance for understanding the production mechanism and field application of in-situ hydrogen production of oil and gas reservoirs.