16results about How to "Visual assessment" patented technology

The invention relates to the technical field of die steel detection, and particularly discloses a die steel internal defect accurate identification and detection method and system.The method comprises the steps that a plurality of probe path lines of die steel detection faces are obtained, the die steel detection faces comprise the axial detection face and the radial detection face, and the axial detection face and the radial detection face are matched with each other; each probe path line is used for movement detection of an ultrasonic probe; acquiring a plurality of detection point echo signals of each probe on each probe path line, and acquiring echo enrichment area information according to each detection point echo signal; obtaining two-dimensional defect graph information and defect graph depth information corresponding to each detection point echo signal according to the echo enrichment area information; and generating a two-dimensional defect scanning image according to the two-dimensional defect graphic information corresponding to each detection point echo signal. According to the method, the echo signals of the multiple detection points of the probe on each probe path line are obtained and comprehensively analyzed, so that misjudgment can be effectively reduced, and the detection reliability is improved.

The invention discloses a community level quantification and evaluation method based on inter-bacterial interaction and a flora structure, which comprises the following steps: firstly, acquiring microbial community information, constructing a biological association network, and screening out highly related inter-bacterial interaction coefficients through significance analysis; secondly, calculating an average value of highly correlated inter-bacterium interaction coefficients of each species; taking the relative abundance table of the species as a weight, and multiplying the weight with the average inter-bacteria interaction coefficient matrix of the species; and finally, obtaining the total association strength of the community through two-step summation, and defining the total association strength as a new microbial community evaluation index as a community collaboration index. The larger the index is, the higher the total positive correlation strength of the community is, and the better the stability and functionality of the microbial community are. The community level quantification and evaluation method provided by the invention comprehensively covers inter-bacterial interaction and flora structure information of the target community, can realize quantification of multi-dimensional microbial community data to a low-dimensional community level, and can intuitively and accurately evaluate the overall functionality and stability of the microbial community.

The invention provides an application layer capability assessment method, device and equipment of an Internet of Things satellite communication system, and relates to the technical field of Internet of Things satellites, and the method comprises the steps: transmitting an uplink instruction to a ground terminal in the Internet of Things satellite communication system; the uplink instruction is used for instructing the ground terminal to send uplink data to an on-orbit communication satellite when the on-orbit communication satellite in the Internet of Things satellite communication system passes; acquiring downlink broadcast data issued by the on-orbit communication satellite; and determining an application layer capability evaluation result of the Internet of Things satellite communication system based on the downlink broadcast data, the uplink data and the monitoring data corresponding to the ground terminal. The technical scheme of the invention does not depend on X-band earth station receiving data, but evaluates the application layer capability of the Internet of Things satellite communication system based on the uplink data sent by the ground terminal to the in-orbit communication satellite, the downlink broadcast data issued by the in-orbit communication satellite and the monitoring data corresponding to the ground terminal, so that the evaluation process is simplified, and the evaluation efficiency is improved. And the time cost is reduced.

The invention discloses a strength detection device of a blade for a wind driven generator, which relates to the technical field of wind driven generator production and comprises a supporting seat, a detection table welded with the supporting seat through four annularly distributed reinforcing ribs, a rotation detection mechanism, a variable strength detection mechanism, a variable bending detection mechanism and a surface damage detection mechanism, the rotation detection mechanism comprises a driving assembly, an electric telescopic rod, a connecting piece and three blade bodies, wherein the three blade bodies are fixed to the connecting piece through bolts and distributed annularly. According to the invention, rotation stress strength detection, compressive strength detection and bending strength detection can be carried out in order, comprehensive evaluation on the strength of the wind driven generator blade is provided, the safety and reliability of the blade in actual operation are ensured, accident risks caused by insufficient strength of the blade are reduced, and by integrating multiple detection functions, the detection efficiency is improved. The blade transfer procedure is omitted, a plurality of key parameters can be obtained in one-time detection, and the detection efficiency is improved.

The invention discloses a noise analysis method and system for an electric aircraft with a tilt rotor configuration, and belongs to the technical field of aircraft noise, and the method comprises the steps: S1, constructing a tilt rotor configuration model according to parameters of the electric aircraft, and importing the model into Ansys Fluent software; s2, grid division: firstly, performing sub-component grid division on the tilt rotor configuration model according to the grid size or the number of grids; then, the grids are optimized; s3, flow field analysis: firstly, performing steady-state flow field analysis by using an SST k-omega model; then taking an output result of the steady-state flow field analysis as an initial value, and performing transient flow field analysis by utilizing an LES large vortex model; s4, performing acoustic analogy noise analysis on the transient flow field analysis result by using an FW-H model to obtain sound source distribution; and S5, obtaining noise results of different positions around the tilt rotor configuration model by using steady-state broadband noise analysis and transient flow field pneumatic analysis.

The invention discloses a digital twin service equipment management and control method and device, and solves the problems that the service equipment in a traffic scene runs for a long time, so that the service life is shortened, the energy consumption is large, and the cost control is not facilitated. The invention discloses a digital twin service equipment management and control method. The method comprises the following steps: acquiring current sensing information of a target vehicle; displaying a twin picture of the traffic scene; the twinborn picture comprises a twinborn object of the target vehicle and a twinborn object of service equipment; the current sensing information of the target vehicle comprises vehicle position information; obtaining the range of the service area, and controlling the working state of the service equipment in the range; and in the twinborn picture, updating the twinborn object of the service equipment, and displaying the current working state or the current operation effect of the service equipment. On the basis of all views in one picture, service equipment evaluation and adjustment can be carried out visually and conveniently, and the service capability is improved.

The invention discloses a scoring method for bimodal distribution vehicle detection indexes and a terminal. The scoring method comprises the following steps: acquiring bimodal distribution vehicle detection index data and vehicle information data; grouping the vehicle detection index data according to a classification criterion selected from the vehicle information data and acquiring grouped data; clustering the grouped data by using a k-means algorithm, setting the category to be 2, and obtaining clustered category grouped data; performing distribution fitting calculation on grouped data of each clustering category by using t distribution; obtaining a probability density function of the grouped data of each clustering category according to a distribution fitting calculation result, and recording a vehicle detection index data value corresponding to the highest point in the probability density function as a mark value; each type of vehicle detection index data is analyzed, and the vehicle detection index data is converted into a vehicle score by taking a flag value as a full score point in combination with a cumulative or residual distribution function.

The invention provides a land space ecological restoration scheme optimization method based on GIS and multi-objective decision analysis, which belongs to the field of ecological restoration and solves the problem of low ecological restoration efficiency. The method is specifically as follows: step S1: geographic space model and ecological environment data; step S2: determining the vegetation change rate, water flow change rate and sand content change rate in the area to be optimized, and determining the plant restoration scheme in combination with the geographic space model and ecological environment data; step S3: dividing the protection range for organisms based on the geographic space model and ecological environment data, and determining the animal restoration scheme; step S4: summarizing the plant restoration scheme and the animal restoration scheme and feeding them back to a user; the invention obtains, analyzes and processes the geographic information and ecological information of the area to be optimized, determines the planting area and the biological protection area for the area to be optimized, and improves the ecological restoration efficiency.

The invention discloses a method for comprehensively evaluating the reliability of sensing nodes of a mobile crowd sensing network, and belongs to the technical field of mobile crowd sensing networks. Comprising a sensing node sensing task type classification method, a sensing node transmission rate scoring method, a sensing node stability scoring method, a sensing node sensing task completion efficiency scoring method and a sensing node reliability comprehensive scoring method. According to the method, multiple dimensions such as the sensing task type, the transmission rate, the stability, the sensing task completion efficiency and the reliability of the sensing nodes are considered, the sensing nodes in the mobile crowd sensing network are comprehensively, accurately and visually evaluated, and a scientific basis is provided for planning and optimization of the mobile crowd sensing network.

The utility model discloses a natural gas pipeline leakage plugging device which comprises a natural gas assembling pipeline, an upper-layer device shell and a lower-layer device shell, the upper-layer device shell and the lower-layer device shell are connected with each other, and an auxiliary air bag assembly is installed on the natural gas assembling pipeline. The upper-layer device shell and the lower-layer device shell are each provided with an auxiliary plugging and press sealing monitoring structure. The utility model relates to the technical field of natural gas plugging auxiliary equipment, the device ingeniously applies a wrapping air bag through an auxiliary air bag assembly, the leakage position on a natural gas assembly pipeline is accurately wrapped, then an auxiliary plugging pressure sealing monitoring structure pressurizes the wrapping air bag, the leakage point is effectively plugged, and the safety and stability of the natural gas pipeline are ensured; in addition, it is worth mentioning that if the package air bag leaks air due to aging, the state of the package air bag can be visually detected and evaluated through the specially-arranged connection auxiliary monitoring column, the plugging effect is clear at a glance, and the safety and reliability of the device are greatly improved.

The invention discloses a digital twinborn information accompanying reminding method and device, and solves the problem that digital twinborn traffic violation reminding cannot be sent in time in a traffic management process in the prior art. The invention discloses a digital twin information accompanying reminding method. The method comprises the following steps: acquiring current sensing information of a target vehicle; displaying a twin picture of the traffic scene; in response to a preset behavior contained in the vehicle driving state information, obtaining a reminding message corresponding to the preset behavior, and broadcasting the reminding message through a selected reminding device; according to the invention, vehicle running track monitoring and real-time reminding are realized, and vehicle behavior violation is effectively avoided.

The present invention proposes a robustness evaluation method for a deep learning model with hard label output based on ORS, which belongs to the technical field of robustness evaluation. It includes generating adversarial text, using the adversarial text to attack the target model, calculating the robustness score of the target model based on ORS, and evaluating the robustness. The adversarial text is generated based on a word importance framework, and the word importance framework includes a sorting stage and a perturbation stage. In the sorting stage, the importance of each word in the text is scored, and the words are sorted from high to low according to the importance score. In the perturbation stage, perturbations are added to the words in sequence. The importance score is calculated using the confidence on the true value label corresponding to the text. If the importance score is greater than 0, it means that the words in the text have a positive impact on the true value label, that is, the words are important words in the text, otherwise the words are unimportant words in the text; the problem of lack of robustness evaluation of LLM under adversarial attack conditions is solved, and its robustness evaluation criteria are quantified.

The present invention proposes a method for evaluating the robustness of a deep learning model based on ORS for soft-label output, which belongs to the technical field of robustness evaluation. It includes generating adversarial text, using the adversarial text to attack a target model, calculating the robustness score of the target model based on ORS, and evaluating the robustness. The adversarial text is generated based on a word importance framework, and the word importance framework includes a sorting stage and a perturbation stage. The importance score is calculated using the confidence on the true value label corresponding to the text. If the importance score is greater than 0, it means that the words in the text have a positive impact on the true value label, that is, the words are important words in the text, otherwise the words are unimportant words in the text; it provides a feasible solution for the robustness evaluation of the target model with soft labels as output, solves the problem of incomplete evaluation indicators in the current robustness evaluation method, and quantifies the robustness evaluation criteria of the deep learning model with soft labels as output.

The application provides an underwater fixed-distance luring camera device for shrimp culture, and relates to the technical field of aquaculture monitoring equipment. The underwater fixed-distance luring camera device comprises a water control terminal and an underwater collecting unit. The underwater collecting unit comprises a support connecting arm, and the support connecting arm is provided with an underwater camera module, a light supplementing assembly and a luring module. An observation cover plate is arranged on the shooting direction of the underwater camera module. A feeding outlet of the luring module is arranged towards the disc surface of the observation cover plate, and is used for feeding bait on the observation disc. The water control terminal comprises an intelligent main control terminal and an antenna. The application physically locks the shooting area in the best focal length range of the camera by using the observation cover plate, and enhances the picture by combining with an algorithm, so that the technical problem that ordinary cameras are difficult to capture clear images under water due to the fast swimming speed and uncertain position of shrimps is effectively solved.

The invention relates to the technical field of data sharing, in particular to a government-enterprise collaboration-based data sharing system, which comprises a data intercommunication server, a government end and an enterprise end, and is characterized in that the government end and the enterprise end communicate with the data intercommunication server through the Internet; the data intercommunication server comprises a central control processing unit, a data classification unit, a data screening unit, a data storage unit and a data receiving unit, the central control processing unit is used for processing government and enterprise data, and the data classification unit is used for performing classification processing on the enterprise data published by the government. According to the invention, the data classification unit classifies the enterprise data according to the category to extract the index data set, when the enterprise is evaluated, the related index data set can be directly selected, the enterprise is visually evaluated, and after the government department issues the enterprise related audit index data, the index data can be fused into the enterprise data set, so that the enterprise evaluation efficiency is improved. And sharing and updating the enterprise data set.

The utility model relates to the technical field of sand tables, and discloses an urban planning construction management sand table with an adjustable display area, which comprises a supporting mechanism, and the upper part of the supporting mechanism is provided with an adjustable sand table mechanism; the adjustable sand table mechanism comprises a platform, an elastic bag is arranged on the upper portion of the platform, electric telescopic plates are arranged in the two ends of the elastic bag, the electric telescopic plates are sleeved with the elastic bag, and telescopic side plates are fixedly connected to the two ends of each electric telescopic plate respectively. According to the sand table for urban planning and construction management, electric telescopic plates at the two ends stretch out and draw back at the same time, telescopic side plates on the two sides are driven by stretching out and drawing back of the electric telescopic plates to slide, and therefore the width of an elastic bag is adjusted, the electric telescopic plates at the two ends are driven by two electric telescopic rods to move synchronously, the telescopic side plates stretch out and draw back accordingly, and the length of the elastic bag is adjusted; and sand tables with different areas are formed by adjusting the length and the width of the elastic bag.