7results about How to "Real-time assessment" patented technology

The invention belongs to the technical field of structure health monitoring and safety assessment, and discloses a photovoltaic flexible support structure health assessment method and system. Firstly, acceleration signals, inclination angle data and cable force data of the photovoltaic flexible support are collected; extracting inherent frequencies, vibration modes and modal damping ratios of the first three orders of the structure based on a random subspace recognition method, analyzing inclination angle data to obtain static displacement or dynamic rotation angles of key nodes, obtaining a cable force distribution state by combining cable force data, and integrating to form a dynamic feature vector; inputting the vector into a pre-trained structure health assessment model, and outputting a damage position and degree; and when the damage degree exceeds a preset threshold value, a report containing the position of the damaged component, the damage degree and the disposal suggestion is automatically generated. Through cooperation of multi-source data fusion and an intelligent algorithm, real-time, accurate and automatic evaluation of structural health and accurate damage positioning are realized, a scientific basis is provided for preventive maintenance, safe operation of a photovoltaic power station is effectively guaranteed, and the operation and maintenance cost is reduced.

The application discloses a kind of real pipe section grouting protection methods of gas surface extraction well in mining area, to overcome the passive protection defects in the prior art mining area ground well protection technology, can be changed from passive resistance rock deformation into active regulation rock movement, reduce the deformation energy acting on wellbore from the root, realize the purpose of active control rock movement to protect wellbore;Based on the real-time monitoring and judgment of wellbore body strain, the timely capture and intervention of wellbore risk state can be realized, and the problem of intervention lag of traditional method can be solved;Through target area selection guided by key stratum theory and well layout design based on rock movement law, the grouting energy can be accurately applied to the key rock structure for controlling wellbore deformation, which can greatly improve the pertinence and efficiency of protection measures;Relying on the closed-loop control logic with "wellbore strain feedback" as the core, dynamic optimization and accurate stopping of grouting process can be realized, so that the protection effect can be evaluated in real time, the grouting amount is controllable, and the safety and economy of the project are improved.

The application provides a kind of blade state detection method and device, it is related to wind power generator operation and maintenance field, to real-time, accurately monitor and evaluate the state of blade.The method comprises: obtaining real-time measurement data, a real-time measurement data includes the data of each dimension sampled at each sampling time point in a sampling time range;The real-time measurement data is input into the mapping network to obtain the data representation of the real-time measurement data, wherein the mapping network is trained using health data as training samples, and the health data refers to measurement data collected when the blade is in a healthy state;Obtain the data representation of the health data, which is obtained using the mapping network;According to the similarity between the data representation of the real-time measurement data and the data representation of the health data, determine the state of the blade.

The invention discloses a polarization / hypersensitivity / inertial navigation tight combination modeling and adaptive fusion method, and belongs to the technical field of bionic polarization integrated navigation. According to the method, polarized light intensity measured by a polarization sensor and sun image coordinates measured by a solar sensor are used as measurement and are subjected to tight combination modeling with an inertial measurement unit, and an expansion state equation including incident light intensity and degree of polarization and a nonlinear measurement equation are established. A self-adaptive fusion strategy is designed based on a dual credibility discrimination function of a polarization degree and a distance between a sun image coordinate and a sun-sensitive principal point coordinate, and a measurement mode of a polarization sensor, a sun-sensitive sensor or a combination of the polarization sensor and the sun-sensitive principal point is dynamically selected. And estimating a state quantity in real time through unscented Kalman filtering, and correcting a navigation error. The original light intensity information measured by the polarization sensor and the original sun image coordinate information measured by the solar sensor are directly used for measurement, so that the nonlinear transfer effect is inhibited. According to the invention, the orientation precision and environmental adaptability of the integrated navigation system in a complex environment are improved.

The embodiment of the application provides a kind of based on dynamic knowledge graph and multi-source data fusion's marine pasture intelligent site selection decision system and method, it is related to the technical field of marine information technology and intelligent decision-making technology.Its method includes: obtaining the multi-source heterogeneous data covering candidate sea area, and generating dynamic metadata label for data unit in the multi-source heterogeneous data;Based on the multi-source heterogeneous data and external knowledge source, the knowledge graph of the field of marine pasture site selection is constructed;Based on the knowledge graph, a dynamic association rule base is constructed;According to the site selection constraint condition input by the user, the knowledge graph and the dynamic association rule base, the recommended site selection area of the candidate sea area is generated.Through the application, the problem of low site selection decision accuracy is solved, and the effect of improving site selection decision accuracy is achieved.

The application provides a quantitative detection method and kit for recombinant reassortment of dabie bunyavirus based on multiple digital PCR technology, and belongs to the field of infectious disease monitoring. The method comprises the following steps: providing a to-be-detected sample containing segmented viruses and viral nucleic acids; detecting the nucleic acids by using a multiple digital PCR reaction system containing multiple specific primer pairs and fluorescently labeled probes; amplifying and collecting and analyzing multi-channel fluorescence signals according to a fluorescence coding rule, and calculating absolute copy numbers of each genotype; and analyzing the distribution proportion within the genotype fragments and the combination mode between the fragments based on the copy numbers, and evaluating the characteristics and frequency of the viral recombinant reassortment event. The detection method and kit provided by the application can realize accurate quantification of all main genotypes of dabie bunyavirus.

This invention provides a traffic situation perception method, device, electronic device, and storage medium, belonging to the field of intelligent transportation technology. The method includes: acquiring multi-dimensional heterogeneous data, including human-dimensional data, vehicle-dimensional data, road-dimensional data, and cloud-dimensional data; acquiring the target scene categories corresponding to the multi-dimensional heterogeneous data and determining the scene priorities corresponding to the target scene categories; dynamically configuring perception resources according to the scene priorities to obtain configured perception resources, which are used to characterize sensor sampling frequency, sensor cooperation mode, and redundant device on / off status; and performing traffic situation perception based on the configured perception resources to obtain traffic situation perception results. The above solution can achieve real-time and accurate assessment of traffic situations, providing lane-level refined information for traffic management departments, supporting accurate decision-making, and effectively alleviating road network congestion and accident risks.