36results about How to "Intuitive description" patented technology

The invention discloses a visualized detection method for online abnormal movements of a power distribution automation graph and model, comprising steps of using a topology model of a power distribution network red database in a power distribution automation master station to establish a memory topology of a primary device of the power distribution network, recording topology relations before the abnormal movement and after the abnormal movement, performing interaction with a GPMS system by the power distribution automation master station system to obtain an abnormal movement file, analyzing an SVG graph file to display on a man-machine interface, binding with corresponding topology model information by a primitive, performing verification on consistency of the graph and the model and using a color mark on the primitive according to the verification result, timely, fast and directly displaying the graph and model abnormal movement conditions to automation staff before a process of performing automation debugging, performing verification on consistency of the model topology, the graph and the model, and synchronizing an abnormal movement single condition to the GPMS system. The visualized detection method disclosed by the invention improves accuracy and timeliness of abnormal movements and greatly improves working efficiency of scheduling staff and automation staff.

The invention relates to a three-axis linkage contour error compensation control method for cylinder cam machining. The method carries out contour error calculation and compensation during an interpolation machining process according to the linkage of axis A, axis X and axis Y, and is characterized in that the method comprises the steps of in each sampling cycle detecting the actual location of the worktable of axis A, axis X and axis Y in a machine tool coordinate system; converting into a space rectangular coordinate system and approximating the distance between the actual cutter location point and the line connecting with the two closest interpolation points on the tool path of the cylindrical cam contour at contour errors; converting into the machine tool coordinate system to obtain the corresponding contour errors of axis A, axis X and axis Y; and introducing a scaling factor, acquiring the contour error compensation quantities through proportional control, separately stacking the contour error compensation quantities with the location control quantities of shaft A, shaft X and shaft Y to follow errors, and outputting to a servo actuator. The method provided by the invention has the advantages that during axis A, axis X and axis Y linkage machining contour error description is intuitive, calculation precision is high, and contour error compensation method is simple and effective.

The invention discloses an unmanned plane independent robust decision-making method based on scenario building. The unmanned plane independent robust decision-making method based on scenario building is characterized by comprising the following steps that first, the decision variable of a Red unmanned plane and the decision variable of a Blue position in a battle field are defined; second, a scenario is built; third, an influence diagram is established by using an influence diagram modeling method; fourth, the expected utility value of each scenario centralized in scenario of each decision candidate action plan in decision candidate action plans of the Red unmanned plane is calculated; fifth, the Red unmanned plane makes robust decisions according to the expected utility value. The unmanned plane independent robust decision-making method based on scenario building can effectively solve the problem of weak independent decision making capacity in a complex battle field environment, the unmanned plane is made to be capable of making independent decision in various scenarios, accordingly, the independent decision making efficiency and the decision making effect of the unmanned plane are improved, optimal action scheme choosing is achieved, and the feasibility, the effectiveness and the safety of the decision-making scheme are guaranteed.

The invention discloses a method for joint inversion of longitudinal wave impedance and transverse wave impedance by using the prestack data of PP and PS waves. The method comprises the following steps of: acquiring time windows, trace windows and line windows, on a PP-wave section plane and a PS-wave section plane which are actually measured, of a reservoir to obtain PP-wave seismic records and PS-wave seismic records of all common depth point (CDP) ranges and all offset distances of the reservoir; processing each sampling time in the time windows [tpp1, tpp2] and [tps1, tps2] of a common middle point (CMP) gather or a common reflection point (CRP) gather of a PP-wave and a common conversion point (CCP) gather of a PS-wave of the CDP; obtaining a PP-wave seismic record of an approximate zero offset distance and an SS-wave seismic record of a zero offset distance in the time window at the CDP; and performing inversion on the PP-wave seismic record of the approximate zero offset distance and the SS-wave seismic record of the zero offset distance to obtain the longitudinal wave impedance Ip and the transverse wave impedance Is. By the method, the longitudinal wave impedance and the transverse wave impedance of the reservoir are inverted conveniently and rapidly; elastic parameters of the reservoir per se can be acquired stably; and the accuracy of the lithological and physical descriptions of the reservoir is improved.

The present invention discloses a constructing method for the graphic contour descriptor. The method includes the following steps: A. the graphic contour point is detected by point to get contour vector; B. according to the contour vector, the directional distance vector is drawn off; C. according to the directional distance vector, the contour descriptor is constructed. The present invention has the following advantages: firstly, the description of the graphic contour is very intuitionistic, which is similar to the sense of human; secondly, rotation, parallel moving, shrinkage and enlargement can not change the contour, and the contour has good anti-interference ability for shape changing; thirdly, the data structure is very clear, searches can be performed under different resolutions; fourthly, for non-convex shapes, good description ability is also possessed. The contour descriptor constructed by the present invention is effective and has good robustness.

The invention relates to a novel vehicle fault scoring method. The method comprises the steps that first, an entire vehicle is divided into a plurality of subsystems, and each subsystem is further divided into a plurality of measurable test items; then data resources, weight parameters and score correcting values are defined according to all the test items, the scores of all the test items are obtained according to an algorithm, and then the overall score of a vehicle is obtained through accumulation. According to the novel vehicle fault scoring method, description is visual, the performance is reliable, operability is high, and a vehicle owner can visually learn the serious condition of current vehicle faults through a simple score no matter whether the vehicle owner has vehicle professional knowledge or not.

This invention provides one dirty monitoring device in engineer heat physical and energy utilization field, which comprises temperature sensor, pressure sensor and concentration sensor, data collector and display meter, wherein, the temperature sensor is to detect inside wall temperature of tube with 8 to 12 spots measured; the pressure sensor is to measure the pressure loss of the tube section; the concentration sensor is to measure dirty suspension or salt main concentration. The data through A / D conversion are combined with relative data for computing and correcting.

The invention relates to an image content retrieval method based on a hierarchical color distribution descriptor, which comprises the following steps that: 1, a user inputs an image to be queried and a retrieval requirement into a retrieval system; 2, the retrieval system constructs the hierarchical color distribution descriptor of the image to be queried; 3, the retrieval system performs hierarchical filtering on a characteristic database by using the hierarchical color distribution descriptor of the image to be queried until the retrieval requirement is met to obtain a final characteristic database; 4, the retrieval system searches a corresponding image from an image database according to the final characteristic database and feeds the searched image back to the user; and 5, the user performs further searching according to a feedback result. By the image content retrieval method based on the hierarchical color distribution descriptor, the hierarchical color distribution descriptor is constructed to accurately describe the image, so that image content retrieval efficiency can be greatly improved.

The invention discloses an internet-of-things credibility evaluation method based on extended activity sequence diagram model tests, and belongs to the technical field of the internet of things. According to the method, a probability time activity sequence diagram is adopted to intuitively and quantitatively describe operations of the internet of things, the activity sequence diagram is adopted to limit operating scenes of the internet of things, the method of model detection is adopted, and internet-of-things credibility evaluation is implemented. The method is high in automation level, requirements on calculating space are low, the process is clear, and operability and reusability are high. By the aid of the method, theoretical awareness level and actual detecting technology level in the design and operation of the internet of things are raised in the industry, and the method plays an important promoting role in increasing the speed of healthy and sustainable development of the internet of things of the domestic industry.

The invention discloses a reliability distribution method and apparatus based on immune genetic optimization, and relates to the field of reliability distribution. The method comprises the following steps: eliminating devices with selected models and devices with determined reliability indexes, and then according to operation working conditions of residual devices, carrying out system reliability modeling; constructing full-life cost function and obtaining a function taking the system full-life cost as an object; and randomly generating initial population, screening antibodies in the population, operating adaptive intersection and variation operation of a genetic algorithm, next, operating an immunization algorithm, extracting a vaccine, vaccinating the antibodies, then classifying the antibodies with higher fitness into new-generation population, determining whether the new-generation population is convergent, if so, outputting a distribution result, and otherwise, returning the antibody screening step. According to the invention, minimization of full-life cost is taken as a distribution object, the immunization algorithm and the genetic algorithm are combined together in a distribution process, and the method and apparatus provided by the invention are applied to task reliability distribution of a complex system.

The present invention relates to a method for analyzing convection heat dissipation performance of both sides of a rectangular heat dissipation plate with an eccentric heat source. The method comprises: dividing a heat source region into uniform grids and combining a heat loss matrix and a non-uniform thermal power matrix of the heat source region, to iteratively calculate surplus temperature iteration values of all nodes in the heat source region; after determining that iteration results are convergent by using a difference between an average value of the surplus temperature iteration results and an average value of last iteration results, collecting statistics on a local greatest value of the surplus temperatures in the heat source region; dividing upper and lower surfaces in a region without any heat source into grids, and calculating an average value of node surplus temperatures to obtain total convection heat dissipation power of the upper and lower surfaces in the region without any heat source; according to the local highest value of the surplus temperatures in the heat source region, the average value and the total convection heat dissipation power of the the upper and lower surfaces in the region without any heat source, and two-dimensional heat source uniform heating power, obtaining maximum diffusion thermal resistance corresponding to heat dissipation from a heat source to the upper and lower surfaces of the heat dissipation plate, and maximum total heat resistance from the heat source to the environment. According to the method of the present invention, the heat dissipation problem is described visually, and obtained data is more comprehensive.

The embodiment of the invention provides an RTL code generation method and device of a gate-level circuit and electronic equipment, and belongs to the technical field of integrated circuits, and the method comprises the steps: obtaining the RTL codes of all logic elements of a first gate-level circuit; respectively compiling the RTL code of each logic element to obtain a target view of each logic element; and generating an RTL code of the first gate-level circuit according to the connection relationship between the logic elements and the target view of each logic element. According to the RTL code generation method and device of the gate-level circuit and the electronic equipment, the generated RTL code of the gate-level circuit can describe the function of the circuit more visually, and therefore the function of the gate-level circuit can be understood conveniently.

The invention discloses a teaching instrument for an alternating-current variable-frequency multi-unit air conditioner integrated control system. The teaching instrument comprises an air conditioner host, an electrical control system and a teaching instrument board, wherein the electrical control system comprises an electrical control component, a sensor, an outdoor unit integrated circuit board,an indoor unit integrated circuit board and an executing mechanism which is driven by the outdoor unit integrated circuit board and the indoor unit integrated circuit board; the electrical control system also comprises a lightning protection module and a frequency conversion module; the teaching instrument board comprises a circuit principle board and an electrical control mechanism board; a schematic circuit diagram of the air conditioner host is printed on the circuit principle board; an electrical control system wiring diagram is printed and the electrical control component, the lightning protection module, the frequency conversion module, the outdoor unit integrated circuit board and the indoor integrated circuit board are arranged on the front surface of the electrical control mechanism board; and a wire is connected on the back face of the electrical control mechanism board according to the electrical control system wiring diagram, so that the outdoor unit integrated circuit board and the indoor integrated circuit board on the electrical control mechanism board are electrically connected with the executing mechanism. An experimental method provided by the invention has an intuitive principle and rich content, and is particularly suitable for experimental teaching of the alternating-current variable-frequency multi-unit air conditioner integrated control system for professional students of refrigeration, electricity, household appliances and the like.

The invention belongs to the field of casting numerical simulation, and discloses a casting hot crack growth prediction method based on numerical simulation, which comprises the following steps of S1,carrying out numerical simulation on the solidification process of a to-be-tested casting to obtain the thermal stress field data of the to-be-tested casting, and determining a hot crack initiation position according to the thermal stress field data and a hot crack criterion; S2, establishing a sub-model containing a hot crack initiation position, determining an initial position of the hot crackgrowth in the sub-model and a corresponding growth sub-step, and inserting an initial hot crack at the initial position of hot crack growth to obtain an initial hot crack form; and S3, predicting thehot crack growth according to the sub-model. The method can accurately predict the hot crack initiation and growth process in the casting process, and provides a basis for optimizing the casting process and improving the hot crack defect.

The invention discloses a facial aesthetics evaluation method based on visual facial form judgment and a storage medium. The facial aesthetics evaluation method comprises the steps of S1, performing mark point positioning on a facial image; s2, performing interpolation modeling on the facial contour mark points through a B spline function; s3, calculating facial contour curvature features according to the interpolation curve; s4, extracting geometric features according to a facial expression research theory; s5, extracting texture features through a Gabor filter; s6, extracting features such as skin color and hair through a convolutional neural network VGG; and S7, fusing the four features, and evaluating facial aesthetics by using a support vector machine (SVR). According to the method, mixed features are extracted in combination with B splines, Gabor filtering and a deep learning algorithm to describe facial aesthetics. And the final features cover the whole face information.

The invention provides a requirement document automatic generation method based on a document component. The requirement document automatic generation method based on the document component comprisesthe following steps that the document outline component used for describing document outline content is added; The document outline component is loaded to be in an editable state, and the document outline component in the editable state comprises function requirement editing, data requirement editing and external interface environment editing; A document outline member is edited, a use case memberis added for function requirement editing so as to limit and plan the product defining range and the service function, a data member is added for data requirement editing so as to perform standard description on data, and an external interface and an environment member are added for external interface editing so as to formulate an external application interface needing to be used; And the editeddocument outline component is packaged into a required document. According to the method, the accuracy and integrity of the demand document are improved, and the problem caused by fuzzy demand of demand developers is solved.

The invention belongs to the technical field of real-time detection of human health, in particular relates to an intelligent terminal with interface color changing with human health conditions and a control method thereof. The human health parameters are constantly monitored by an intelligent detection device. The screen interface automatically adjusts the color according to the changes of human health parameters when the human health parameters change, so as to adjust a human's mood and relieve human body pressure through visual feeling. The intelligent detection device detecting human healthparameters not only provides a health report to the user, but also more intuitively describes the health condition to the user.

The present invention discloses an urban morphology analysis and controlling method based on three elements of the plane pattern and fractal calculation. The method comprises: obtaining city map research data, dividing a plurality of typical research areas, decomposing the three elements of the plane pattern to carry out fractal calculation respectively so as to obtain the fractal dimension and obtain the histogram of the fractal dimension of the three elements of the plane pattern in different research sub-areas; summarizing fractal dimension features of the three elements of the plane pattern in the research area; putting forward optimization suggestions; and carrying out reasonable control on the urban plane pattern in the urban planning design and management. According to the method disclosed by the present invention, the three-element framework of the plane pattern is combined with the fractal calculation method, and reasonable control is carried out on the urban plane pattern by using the quantized data of the fractal dimension; and at the same time, by combining the traditional urban morphology research method with the new technical means such as the GIS, the operation process is simplified, the workload is reduced, the research efficiency is improved, and the calculation results are efficient and accurate.

The invention discloses a reliability distribution method and apparatus based on immune genetic optimization, and relates to the field of reliability distribution. The method comprises the following steps: eliminating devices with selected models and devices with determined reliability indexes, and then according to operation working conditions of residual devices, carrying out system reliability modeling; constructing full-life cost function and obtaining a function taking the system full-life cost as an object; and randomly generating initial population, screening antibodies in the population, operating adaptive intersection and variation operation of a genetic algorithm, next, operating an immunization algorithm, extracting a vaccine, vaccinating the antibodies, then classifying the antibodies with higher fitness into new-generation population, determining whether the new-generation population is convergent, if so, outputting a distribution result, and otherwise, returning the antibody screening step. According to the invention, minimization of full-life cost is taken as a distribution object, the immunization algorithm and the genetic algorithm are combined together in a distribution process, and the method and apparatus provided by the invention are applied to task reliability distribution of a complex system.

The invention discloses a triggering method based on oscilloscope measurement parameters. The method comprises the following steps of: acquiring ADC acquisition data, comparing the ADC acquisition data with preset high and low level values, determining a rising edge and a falling edge of an input analog signal, and selecting one triggering mode from alternative triggering modes, wherein the alternative triggering modes comprise a time parameter triggering mode, an amplitude parameter triggering mode and a combined parameter triggering mode, different triggering modes adopt different triggeringjudgment methods, measurement parameters of an oscilloscope are directly used as triggering conditions in each triggering mode, and a triggering signal is generated when the triggering conditions aremet; and controlling storage and reading operation of ADC sampling data so as to complete the parameter triggering function of the oscilloscope. According to the invention, the measurement parametersof the oscilloscope are directly used as trigger conditions, so that the characteristics of the target waveform are described more visually and accurately, a user can find out the target waveform part more conveniently and quickly, and the user can understand the target waveform part conveniently.

The invention discloses an unmanned plane independent robust decision-making method based on scenario building. The unmanned plane independent robust decision-making method based on scenario building is characterized by comprising the following steps that first, the decision variable of a Red unmanned plane and the decision variable of a Blue position in a battle field are defined; second, a scenario is built; third, an influence diagram is established by using an influence diagram modeling method; fourth, the expected utility value of each scenario centralized in scenario of each decision candidate action plan in decision candidate action plans of the Red unmanned plane is calculated; fifth, the Red unmanned plane makes robust decisions according to the expected utility value. The unmanned plane independent robust decision-making method based on scenario building can effectively solve the problem of weak independent decision making capacity in a complex battle field environment, the unmanned plane is made to be capable of making independent decision in various scenarios, accordingly, the independent decision making efficiency and the decision making effect of the unmanned plane are improved, optimal action scheme choosing is achieved, and the feasibility, the effectiveness and the safety of the decision-making scheme are guaranteed.

The invention provides a power grid main equipment working condition analysis method and system. The method comprises the steps that S1, the actual operation condition and maintenance data of power grid main equipment are acquired; S2, according to the physical connection mode of the power grid main equipment in the topology, the actual operation condition of the power grid main equipment and themaintenance data, the operation conditions of the power grid main equipment in different time states are analyzed, wherein the different time states comprise at least one of the following states: a real-time state, a future state and a historical state. Compared with the traditional method for describing the running state of the equipment as available or unavailable, the method has the advantage that the running working conditions of the equipment in a future state, a real-time state and a historical state can be more accurately and visually described. The description can enrich the power flowcalculation selection based on the state of the power grid equipment, so that the power flow calculation is closer to the actual operation condition.

A method for evaluating the damage degree of earthquake disasters based on aerial photography of UAVs. UAVs are used to hover over the earthquake-stricken areas and collect images. According to the manual interactive method, the area of ​​interest in the disaster area image is circled, and the gray-scale co-occurrence matrix texture feature, Tamura texture feature, Gabor wavelet texture feature, line and circle feature of the selected area are selectively calculated, and finally the support The vector machine classifier is used to evaluate the damage degree of earthquake disasters. This method is more suitable for early information collection and evaluation in the earthquake and secondary disaster areas caused by earthquakes.

The invention discloses a teaching instrument for an alternating-current variable-frequency multi-unit air conditioner integrated control system. The teaching instrument comprises an air conditioner host, an electrical control system and a teaching instrument board, wherein the electrical control system comprises an electrical control component, a sensor, an outdoor unit integrated circuit board, an indoor unit integrated circuit board and an executing mechanism which is driven by the outdoor unit integrated circuit board and the indoor unit integrated circuit board; the electrical control system also comprises a lightning protection module and a frequency conversion module; the teaching instrument board comprises a circuit principle board and an electrical control mechanism board; a schematic circuit diagram of the air conditioner host is printed on the circuit principle board; an electrical control system wiring diagram is printed and the electrical control component, the lightning protection module, the frequency conversion module, the outdoor unit integrated circuit board and the indoor integrated circuit board are arranged on the front surface of the electrical control mechanism board; and a wire is connected on the back face of the electrical control mechanism board according to the electrical control system wiring diagram, so that the outdoor unit integrated circuit board and the indoor integrated circuit board on the electrical control mechanism board are electrically connected with the executing mechanism. An experimental method provided by the invention has an intuitive principle and rich content, and is particularly suitable for experimental teaching of the alternating-current variable-frequency multi-unit air conditioner integrated control system for professional students of refrigeration, electricity, household appliances and the like.

The present invention relates to an analytical method for the double convective heat dissipation performance of a rectangular heat sink with an eccentric heat source. By dividing the heat source area into a uniform grid, combined with the heat loss matrix and the non-uniform heat power matrix in the heat source area, iteratively calculates the excess temperature of all nodes in the heat source area. Iteration value, use the difference between the average value of the excess temperature iteration result and the average value of the previous iteration result to judge the convergence of the iteration result, count the local maximum value of the excess temperature in the heat source area, divide the grid on the upper and lower surfaces of the area without the heat source, and calculate the nodes Excess temperature and average value, to obtain the total power of convection heat dissipation on the upper and lower surfaces of the heat source area, according to the local maximum value of excess temperature in the heat source area, the average value of excess temperature on the upper and lower surfaces of the heat source area and the total power of convection heat dissipation, two-dimensional heat source The uniform heating power is used to obtain the maximum diffusion thermal resistance corresponding to the heat dissipation from the heat source to the upper and lower surfaces of the heat sink, and the maximum total thermal resistance between the heat source and the environment. The present invention can intuitively describe the heat dissipation problem and obtain more comprehensive data.

The invention relates to a petri network-based clothing production line behavior model establishment method. The method comprises the following steps: 1, determining process elements of a model; wherein the process elements in the Petri network comprise place elements and transition elements; mapping the garment production line into a Petri net-based behavior model, and determining the process elements of the model; 2, determining a logic relation of the model; and after the process elements of the model are determined, the library elements and the transition elements are connected according to the actual process flow, and the logic relation of the model is determined. The invention provides the Petri network-based clothing production line behavior model establishment method and the clothing production line behavior model system. The clothing production line behavior model can be described and modeled through the Petri network, and correctness verification is performed on the behavior model established by using the Petri network by using an incidence matrix analysis method.

The invention provides a human body sound signal processing and analysis method, comprising: step 1, collecting human body sound signals with fixed content and processing to obtain power spectrum data; step 2, dividing the frequency range of the five-tone series, and calculating the frequency range of each sound series Power spectrum data accounts for the proportion of power spectrum data in the frequency range of the five-tone series; Step 3, according to the ratio of each fixed content in the fixed content, assign weights and carry out weighting statistics; Step 4, each fixed content of the fixed content The weighting statistical results of the corresponding sounds are added to obtain the total weight range; step 5, divide the total weight range into weight stages, and summarize the characteristics of the human body according to the characteristics of the sounds in different weight stages. The present invention can describe human voice features more intuitively, comprehensively and accurately.