7results about How to "Accurate and effective" patented technology

This application relates to the field of intelligent driving, and discloses an information fusion method. The method is applied to intelligent vehicles, and includes: obtaining a plurality of sensing information sets, where each sensing information set includes information about at least one target, and different sensing information sets come from sensing systems of different devices; and when at least two sensing information sets in the plurality of sensing information sets include information about a first target, fuse the information about the first target in the at least two sensing information sets, to obtain fused information about the first target. In the method, information about a same target in a plurality of sources is fused to make the fused information about the target more accurate and effective.

The application belongs to the technical field of network space cognition domain, and discloses a personalized topic text public opinion material generation method and system. The method introduces influential user discovery under a topic into personalized text content generation, adopts a graph neural network method of graph link prediction and node importance to discover important users, automatically discovers high-value and important influential users from a sparse user social relationship network under a topic background, and takes the users as use objects of personalized text content generation. Meanwhile, in combination with a large-scale dialogue language model based on deep learning, the method fuses feature coding representation of social importance of the users and positive and negative sentiment of text, and automatically generates sentiment controllable personalized text based on social characteristics of the users. The application introduces influential user discovery under a certain topic and sentiment positive and negative personalized text generation, and solves the problem that review and dialogue short text generation cannot be accurately based on high-value social user attribute information under a context background.

The invention discloses a thermal runaway detection method and device for an electric automobile storage battery and a medium, and relates to the technical field of electric automobiles, and the method comprises the steps: collecting the temperature time sequence of a plurality of single batteries in the electric automobile storage battery in real time, and synchronously obtaining the cooling operation parameters of a thermal management system, performing temperature reconstruction on the battery monomers based on a distributed cooling effect to generate a plurality of reconstruction temperature time sequences; a thermal runaway monomer is identified by calculating the temperature rise rate and matching the temperature rise rate with the charge-discharge state; and carrying out self-persistence detection and early warning on the thermal runaway monomer after isolation and inhibition. The technical problem that the early thermal runaway is difficult to find and intervene in time due to the fact that the temperature change of the early thermal runaway of the single battery is difficult to accurately detect in the prior art is solved, and accurate identification and timely intervention of the early thermal runaway are realized through temperature reconstruction and multi-parameter matching, so that the early thermal runaway is accurately identified and intervened in time. And the safety of the storage battery of the electric vehicle is improved.

The utility model discloses a water supply network leakage monitoring alarm device, which relates to the technical field of water supply network monitoring and comprises a shell, a control module is arranged in the shell, a mounting cylinder is arranged at the bottom of the shell, and a liquid level sensor body, a pressure gauge and a flow meter are respectively arranged at the bottom of the control module. The liquid level sensor has the advantages that the control module can be used for monitoring and analyzing data such as flow and pressure, leakage can be accurately positioned, evaluated and effectively controlled, the liquid level sensor body can be used for calculating the liquid level distance according to the microwave propagation speed, and the liquid level sensor can be used for detecting the liquid level. The pressure meter and the flow meter are arranged to calculate the water supply flow according to the difference of fluid propagation time in the water supply pipe network, so that whether the water supply pipe network leaks or not can be detected, and the alarm lamp is arranged to give an alarm when the water supply pipe network leaks.

The invention discloses a service dispute risk early warning method and system based on multi-dimensional data features, and relates to the field of risk prevention and control, and the method comprises the steps: obtaining multi-source heterogeneous data in real time through a risk early warning platform; constructing a multi-dimensional feature index matrix based on the multi-source heterogeneous data; analyzing the multi-dimensional characteristic index matrix through a preset machine learning model, and generating a risk score of the patient and a high-risk patient portrait; when the risk score exceeds a preset threshold value, an early warning signal is triggered, and a corresponding intervention strategy is automatically matched according to the grade of the risk score; an intervention task is generated according to the intervention strategy, the execution state of the intervention task is continuously tracked, after the execution state is finished, a feedback result is generated and displayed on the risk early warning platform, and the feedback result is used for updating parameters of the machine learning model. The medical service dispute risk early warning efficiency can be effectively improved, the occurrence rate of service disputes is reduced, and the harmonious development of the medical service quality and the doctor-patient relationship is promoted.

The invention belongs to the technical field of biology, and particularly relates to a honeysuckle SSR molecular marker development method based on honeysuckle genome sequencing and application of the developed SSR molecular marker in honeysuckle germplasm resource identification. The SSR molecular marker developed by the invention has the characteristics of good stability and high effectiveness. Eight pairs of SSR molecular marker primers are obtained by taking honeysuckle as a material through genome sequencing, SSR site analysis and identification, SSR primer design, SSR-PCR reaction system establishment, SSR-PCR amplification and effectiveness detection, and 30 honeysuckle germplasm resources can be effectively identified. The SSR molecular marker obtained by the invention can be used for germplasm resource identification, genetic diversity analysis and molecular-assisted new variety breeding of honeysuckle.

The text recognition method, device, electronic equipment and readable storage medium provided by the application obtain original text recognized by speech recognition and feedback text provided by a user, judge whether the feedback text meets a text condition, directly determine that the feedback text is invalid if the feedback text does not meet the text condition, judge whether the feedback text and the original text meet a score condition if the feedback text meets the text condition, that is, determine scores corresponding to the feedback text and the original text respectively, then determine that the feedback text is valid feedback text if the scores corresponding to the feedback text and the original text respectively meet a preset text score condition, and determine that the feedback text is valid feedback text if the scores corresponding to the feedback text and the original text respectively meet the preset text score condition. The application performs primary judgment on the feedback text through the text condition, performs secondary judgment on the feedback text, and obtains the validity of the feedback text accurately through the text condition and the score condition.