53results about How to "Easy to compare horizontally" patented technology

The invention relates to the technical field of Internet of vehicles, and specifically discloses a HIL(hardware-in-the-loop)-based V2X scene test method, which comprises: acquiring Internet of vehicles function application test scene design data, and outputting Internet of vehicles function application test scene simulation data; receiving vehicle motion data and navigation satellite ephemeris data, and generating a navigation satellite signal according to a scene setting parameter; receiving the vehicle motion data and a vehicle dynamics model parameter, and generating a vehicle CAN bus signal according to scene setting parameter; establishing a communication connection with a tested V2X device, and performing a scene test to the tested V2X device under the driving of the scene setting parameter, the navigation satellite signal, and the vehicle CAN bus signal; and detecting and recording the scene test result of the tested V2X device. The invention also discloses a HIL-based V2X scenetest system. The HIL-based V2X scene test method provided by the present invention can satisfy the scene reproducibility of the test.

The invention discloses a flame recognition method based on video quality evaluation. The method comprises the following steps: obtaining an image of a video; calculating the ambiguity and the color cast degree of the image; segmenting a suspected flame area from the image; according to the ambiguity and the color cast degree, screening out image features with the accuracy higher than a screening threshold value as flame discrimination features by comparing with a feature accuracy reference table; extracting the discrimination characteristics of the suspected flame area, judging whether the discrimination characteristics are flame characteristics or not, and if the discrimination characteristics are flame characteristics, marking the discrimination characteristics as flame recognition characteristics; according to the ambiguity and the color cast degree, determining the weight of the flame recognition feature by comparing with a feature weight reference table; summing the weights of the flame recognition characteristics to obtain a comprehensive recognition value, and judging whether the suspected flame region is a flame region or not according to the size of the comprehensive recognition value. According to the invention, the flame discrimination speed and accuracy are improved.

The invention discloses a non-invasive electrical load monitoring and load decomposing device which comprises a load monitoring unit, a data processing unit and a terminal display unit, wherein the load monitoring unit is used for acquiring first electric load parameters on a first electric power circuit; the data processing unit is used for generating first load information on the first electric power circuit according to N electrical load parameters acquired from N electric power circuits except the first electric power circuit and the first electrical load parameters; N is an integer larger than or equal to 1; the first load information at least comprises comparison information between the first electrical load parameters and at least one of the N electrical load parameters; the terminal display unit is used for displaying the first load information. The non-invasive electrical load monitoring and load decomposing device solves the technical problem that in the prior art, load information only aims at monitored electric power circuits, so that content is relatively single, enables a user to know information of other electric power circuits horizontally while knowing the first load information of the first electric power circuit, and is convenient for the user to compare.

The invention discloses an evaluation method and device for recommendation effects. The method includes the steps of in the process of recommending content to multiple users on the basis of one recommendation policy, obtaining behavior data of each user, which is generated according to the recommended content, wherein the behavior data includes the values of multiple behavioral indicators during a waiting time quantum before evaluation; for each behavioral indicator, determining the ranking of one user in a to-be-estimated user group according to the value of each user in the behavioral indicator; according to the ranking and the weight of each behavioral indicator, figuring out the first health degree of each user in the to-be-estimated user group; according to the first heath degrees, figuring out a recommendation effect index corresponding to the recommendation policy. According to the evaluation method and device for the recommendation effects, one single recommendation effect index can be provided for evaluation of different recommendation policies, and therefore the resource utilization rate of a server can be improved.

The invention discloses a power failure risk computing method for an electric power system containing double-fed wind power plant. The power failure risk computing method comprises the steps of pre-establishing multiple models, wherein a simulation process comprises the steps of determining the initial working condition of a system, and setting an initial fault; determining whether a short circuit fault or line broken fault occurs or not, if the short circuit fault occurs, processing according to an off-network model of a wind turbine generator, and then performing island-division searching; determining a frequency fall-off and recovery condition of an electrical island according to a frequency stabilization model, and enabling the electrical island to restore to a power balancing state; carrying out alternating current power flow calculation on the system and determining whether the system is converged or not, if not, solving a power flow convergence boundary, and analyzing voltage weak points; switching loads for the voltage weak points; next, determining whether the system is restored to be stable or not, if not, determining that the current wind power plant system is subjected to global voltage collapse, cutting all loads; and if the system is restored to be stable, determining whether a tangent line exists or not, if so, returning to perform the island-division searching step, and or otherwise, finishing the simulation process. By adoption of the power failure risk computing method, the load reducing amount required by the system for system recovery can be reduced to the minimum, and cascading failure analysis error is lowered.

The invention discloses an electromagnetism compatibility classification method of frequency equipment for ship platform based on analytic hierarchy process. The method comprises the following steps:1) classifying the ship platform according to equipment function and use requirement; 2) according to the factors influencing the electromagnetic compatibility performance, determining the electromagnetic compatibility classification elements, and defining the grades and grade scores of each classification element; 3) determining that relative weight of each grading element accord to the grading element and the grading thereof; 4) according to the relative weights of each classification element, determining the electromagnetic compatibility performance score of the shipboard electronic equipment; 5) determininThe classification result of the electromagnetic compatibility of the frequency equipment according to the scores of the electromagnetic compatibility of the shipboard electronic equipment. The invention introduces classification factors such as electromagnetic compatibility problem attribute of equipment, technical state of equipment, importance degree, electromagnetic sensitivity degree of frequency-using equipment, whether the equipment needs to carry out platform electromagnetic compatibility management and control, and the like, so that the classification basis is comprehensive and reasonable.

An intelligent generation method and system of planning scheme based on machine learning are disclosed. A generation model shown in the description is obtained by machine learning training the parameters of the model through the marked planning design scheme. Then, the data z' of the area to be planned is inputted into the generation model shown in the description, and the planning scheme of the area to be planned is obtained by operation. The planning scheme of the area to be planned comprises a design element M of the area and attribute information corresponding to the design element M, which can be rendered and edited by a graphics processing software. The invention can further realize intelligent planning and design on the basis of existing CAD graphics processing software through machine learning. Moreover, combined with the comprehensive evaluation of the planning and design scheme, the invention can further optimize the model obtained by training in the use process, and furtherimprove the quality of the 'batch' fully automatic planning and design scheme. The invention retains a data interface for a designer to operate, and the designer can directly modify the planning and design scheme through the interface, so that the efficiency is higher.

The embodiment of the invention discloses a data processing method, a computer storage medium and related equipment, and belongs to the technical field of education informatization. The method comprises the following steps: acquiring first problem solving data of a first object and second problem solving data of a plurality of second objects in a target area; processing the first problem solving data by using a Bayesian knowledge tracking algorithm to generate a first map of the first object, wherein the first map is used for representing an association relationship among a plurality of knowledge points corresponding to the first problem solving data, and a mastery degree and statistical data of each knowledge point; generating a second map corresponding to the target area based on the second problem solving data of the plurality of second objects; and generating a target map of the first object based on the first map and the second map. Therefore, according to the embodiment of the invention, students or teachers can find out a type of knowledge points with poor mastery of the students, the level of the students in the whole target area can be understood more easily, and further transverse comparison and key point enhancement are facilitated.

The invention provides a SSR primer pairs, which contain three pairs of SSR primers, namely HVM68, Bmag0007 and EBmac755. The invention also provides a method for high-throughput malt purity identification by the utilization of the SSR primer pairs. The method comprises the following steps: extracting DNA of test samples, carrying out multiplex PCR amplification by the use of SSR labeled with different fluorescent dyes, and carrying out capillary electrophoresis fluorescence detection and data analysis. By SSR band analysis after PCR amplification of the three pairs of SSR primers, a malt variety fingerprinting database can be established. The capillary electrophoresis and SSR marker combined high-throughput malt purity identification method is established. By the method, results are stable and reliable, detection efficiency is raised, lots of samples can be rapidly determined within a short period of time, and the results can be used as judgment basis of commercial arbitration. Therefore, adulteration and selling fakes of malt are eliminated, and product quality of beer brewing enterprises is guaranteed from the source.

The invention discloses a uranium mine project feasibility evaluation method and system. The method of a development management system is adopted, and a technical and economic parameter database is established so that a feasibility evaluation model library for each stage of the uranium mine project can be formed for performing feasibility evaluation for the uranium mine project. The system comprises a project model setting module, a project evaluation management module, a uranium resource database management module, a project integrated inquiring module, a project data management module, an auxiliary data management module and a system platform management module. Feasibility evaluation is performed on the uranium mine project, the corresponding computing model and the parameter database are called according to the stage of the project and the process method adopted for the project, and the computer can automatically obtain the technical and economic indicators for project evaluation by artificially inputting the parameter. According to the technical scheme, feasibility evaluation of each phase of the project is automatically completed so that the labor cost can be greatly reduced, the method and the system are rapid and efficient and the uranium mine management and decision level can be enhanced.

The invention discloses a visual inspection method and system for an intelligent substation. The method comprises the following steps: firstly, acquiring related information of equipment in a processlayer and a spacer layer in the intelligent substation, then managing and analyzing the state of the equipment in the intelligent substation according to the acquired information to generate a visualinspection report, and finally, sending the visual inspection report to a mobile terminal through a communication module. The system comprises an information acquisition module, an information management and analysis module, a communication module and a mobile terminal. According to the invention, asset management, sampling management, constant value management and inspection management of the secondary device can be realized, and finally a visual report is formed. The inspection efficiency of the intelligent substation equipment and the accuracy of the inspection result are improved.

The invention discloses a petrochemical equipment process safety risk analysis and management system. The system comprises a basic data maintenance module for maintaining basic data related to petrochemical equipment process safety; a knowledge base module used for storing a preset protection layer model comprising various protection layer data; a risk analysis module used for carrying out dangerous event risk prediction on to-be-analyzed object equipment. And when the risk prediction condition of the dangerous event is met, based on the basic data of the object equipment and the protection layer data contained in the dangerous event, one or more deviations including reasons, consequences, protection layers and implementation measures are analyzed according to the type of the data input inthe analysis mode to obtain a final risk result. According to the invention, dynamic risk display and rectification tracking are realized, risk hidden troubles are reduced, the integrity of petrochemical equipment process safety risk analysis and the working efficiency of an analysis object are improved, and establishment of a risk database of process management and equipment integrity is facilitated.

The invention discloses a health insurance insuring method and device based on a block chain, and a medium. The method comprises the steps of acquiring insurance application information sent by an insurance applicant terminal, and according to identity information of an insured person, acquiring health data and/or diagnosis and treatment data of the insured person stored in a third-party main bodyon a health insurance block chain; depending on the type of insurance to be purchased, collecting candidate insurance product information of corresponding insurance types on an insurance network sales platform on the health insurance block chain; based on the health data and/or the diagnosis and treatment data of the insured person and the candidate insurance product information, processing by adopting an association analysis model to obtain recommended insurance product information, and sending the recommended insurance product information to an insurer end; and obtaining an insurance instruction sent by the insurance applicant side, and uploading insurance product information and insurance premium to the digital signature of the insurance applicant side to the health insurance block chain according to the health insurance intelligent contract. And information of an insured person and comparison of insurance products can be obtained truly and accurately.

The invention discloses a big data-based online sales commodity emotional tendency analysis method. In the method, an emotion score of a certain kind of commodities is calculated by the following steps of B1) acquiring online sales commodity links belonging to the same kind of commodities on a network platform and data information including brand data and comment data corresponding to the online sales commodity links; B2) through an emotion tendency analysis method based on a comment analysis dictionary, carrying out emotion analysis on each collected comment of each online sales commodity link, and carrying out calculation to obtain an emotion score of each comment under each online sales commodity link; B3) calculating a commodity emotion score of each online sales commodity link based on the emotion score of each comment under each online sales commodity link; and B4) calculating the emotion score of each brand under the same kind of commodities in combination with the obtained commodity emotion score and brand data of each online sales commodity link. Qualitative comments of the user are converted into emotion scores representing the quality of the commodities, and the emotionscores can be used as references for customer selection, and are more distinguishable.

The invention provides an epoch network state monitoring method, and the method comprises the steps of obtaining a data package transmitted by a receiver in a period of time, and the data package comprises epoch time; marking the serial number of the received data packet according to the epoch time; counting the number of intervals between the serial numbers of the adjacent data packets and the occurrence frequency of each interval number, and calculating the total packet loss number according to each interval number and the occurrence frequency thereof; calculating the concentration ratio of the interval number according to the interval number and the total packet loss number; and judging the epoch network state according to the concentration degree.

The invention provides an evaluation method and device for the boiler shutdown protection anti-corrosion effect of a thermal power generating unit. Operation is easy, implementation is easy, the anti-corrosion condition in a huge coal-fired boiler water vapor system pipeline in the boiler shutdown protection state can be effectively mastered, and whether the currently-adopted coal-fired boiler shutdown protection method is reliable and effective or not is judged. The evaluation method for the boiler shutdown protection anti-corrosion effect of the thermal power generating unit comprises the steps that the accumulated flow of a condensate pump outlet in the unit starting stage is measured; the mass content of iron in the water vapor related to the boiler heating surface in the unit starting stage is measured, and calculation is performed to obtain the average value of the iron content in the water vapor related to the boiler heating surface; according to the accumulated flow and the iron content average value, the total iron content of the unit in the starting stage is calculated through a preset total iron amount fitting formula; and the total iron content is used as an evaluation index to evaluate the blowing-out protection anti-corrosion effect of the unit before the unit is started at the time.

The invention relates to the field of evaluation of energy consumption of rotary drilling rig, and particularly to an fuel consumption testing device of a rotary drilling rig and an fuel consumption testing method. The fuel consumption testing method includes full filling medium sands in a tested well, drilling in the tested well by a drill of a rotary drilling rig, and recording the test time t, the drilled depth h and the fuel consumption f; calculating the fuel consumption in unit time of the rotary drilling rig according to a function (G=kf/t) in the condition that the drilled depth h is a certain valve, wherein k is a correction coefficient and k is determined by a function (k=6/h). The fuel consumption in unit time can be taken as a main index for evaluating the energy efficiency of the rotary drilling rig. In the fuel consumption testing method, the medium sands is used as the only drilling medium, the fuel consumption in unit time of a rotary drilling rig is calculated after the rotary drilling rig drills a certain depth. The fuel consumption testing device of the rotary drilling rig and the fuel consumption testing method provides consistent standard and mode of measurement of fuel consumption, different rotary drilling rigs can be conveniently compared horizontally.