11results about How to "Overcome ambiguity" patented technology

The invention provides an urban underground space high-precision detection method, system and device and a storage medium, and relates to the technical field of geological exploration. The method comprises the following steps: acquiring reflection seismic data, high-resolution electromagnetic response data, environmental noise data, well-side seismic data and logging data of a target area, and performing refined processing on the reflection seismic data, the high-resolution electromagnetic response data, the environmental noise data, the well-side seismic data and the logging data to obtain multi-source multi-scale detection data; performing constraint condition extraction based on the multi-source multi-scale detection data to obtain a multi-source constraint condition, and constructing an urban underground space three-dimensional information model based on the multi-source constraint condition and the multi-source multi-scale detection data; and performing data mining based on the urban underground space three-dimensional information model to obtain three-dimensional geological data. According to the scheme, the accuracy of urban underground space detection can be improved.

The invention discloses a data center liquid cooling method and system, a storage medium and a program product, and the method comprises the steps: judging whether a computer needs to change the operation state or not according to a to-be-completed task list; if yes, determining computer operation parameters corresponding to the tasks, and obtaining an operation parameter list; determining a cooling liquid parameter list corresponding to the operation parameter list in a preset table; determining a plurality of conveying pipeline lines; respectively determining weights of cooling liquid influence factors in the plurality of conveying pipeline lines; calculating an influence score according to the weight; calculating a conveying pipeline score list according to the cooling liquid parameters and the influence scores; respectively determining an optimal conveying pipeline score with the highest score in each conveying pipeline score list to obtain an optimal conveying pipeline score list; and generating an optimal conveying pipeline list according to the optimal conveying pipeline score list, and sending the optimal conveying pipeline list to the liquid cooling equipment. According to the computer cooling device, the computer is cooled in real time, and the instability of the computer is reduced.

The embodiment of the invention provides a tomato maturity prediction method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring a color image, one-dimensional near infrared spectrum data and one-dimensional ultrasonic spectrum data of a tomato; performing feature extraction on the color image to obtain a visual feature vector; converting the one-dimensional near infrared spectrum data into two-dimensional near infrared spectrum data, and performing feature extraction on the two-dimensional near infrared spectrum data to obtain a near infrared spectrum feature vector; performing feature extraction on the one-dimensional ultrasonic spectrum data to obtain an ultrasonic feature vector; based on an attention mechanism, performing feature fusion on the visual feature vector, the near infrared spectrum feature vector and the ultrasonic feature vector to obtain a target fusion feature vector; and predicting the target fusion feature vector to obtain the maturity. According to the invention, the accuracy of tomato maturity prediction is improved.

The invention relates to the technical field of medical care informatics, and discloses a hysteroscope image auxiliary diagnosis and treatment evaluation system fusing traditional Chinese and western medicine multi-mode characterization, which comprises an optical field data acquisition module, a spectral texture orthogonal decoupling module, a heterogeneous flow field dynamic characterization module and a rheological state inversion mapping module, by decoupling specular reflection and diffuse reflection signals, a Qi-blood body fluid operation retardation quantitative index of a fluid drift model relative to an endometrial basement motion model is calculated, a light tissue relative slip vector is generated, a rheological characteristic index is inversed and is mapped to an orthogonal evaluation space in combination with chromaticity characteristics, and the evaluation accuracy is improved. According to the method, a microstate quantification mechanism based on fluid dynamics is constructed, the technical problem that the traditional Chinese medicine body fluid metabolism syndrome lacks objective physical characterization indexes is effectively solved, and the evaluation precision and diagnosis specificity of the pathological and physiological state of the uterine cavity microenvironment are improved.

The invention discloses a multi-virtual-person simulated teaching method and a related device, and relates to the field of virtual teaching, multi-modal interaction data of a target object in a virtual classroom is acquired, a target dimension influenced by the multi-modal interaction data is determined, a state value of a virtual student under the target dimension is updated according to the multi-modal interaction data, and the state value of the virtual student under the target dimension is updated according to the updated state value. And the virtual students are driven to make related behavior feedback based on the updated state values, the multi-modal interaction data are obtained again until the teaching is finished, and teaching evaluation data are generated according to the multi-modal interaction data and the behavior feedback obtained in the teaching process. According to the method, state value updating is only carried out on the influenced target dimension, the lesson listening state jumping efficiency is improved, the training scene is more consistent with the real teaching situation, and teaching in the virtual training scene is safer and more controllable; and evaluation is carried out based on objective data of the teaching process, so that objectivity and credibility of teaching evaluation data are improved.

The present application relates to the field of petrochemical industry and environmental protection technology, and particularly relates to a multi-core pipe parallel type main and auxiliary cavity cyclone oil-gas-water separation system and a separation method. The method comprises obtaining the time of flight of reflected sound waves and the Doppler power spectral density diagram of the cyclone separation main cavity; determining the axial coordinate sequence and the radial coordinate sequence based on the time of flight; determining whether the cyclone intensity of the cyclone separation main cavity is qualified based on the height difference of the cyclone liquid column; in response to the unqualified cyclone intensity, determining the adjustment direction of the gas phase outlet back pressure based on the cyclone gas core ratio; based on the qualified cyclone intensity, determining whether the cyclone load of the cyclone separation auxiliary cavity is up to standard based on the frequency spectrum width value, and in response to the unqualified cyclone load, prolonging the liquid phase separation time of the cyclone separation main cavity; based on the qualified cyclone load, determining whether there is a downward trend of the oil-gas-water separation efficiency, and enabling sound early warning when the oil-gas-water separation efficiency has a downward trend. The present application solves the problem of lag in sensing the state fluctuation of the oil-gas-water mixed liquid flow field.

This invention relates to the field of metal environment imaging, and more particularly to an environmental imaging method and apparatus based on millimeter-wave radar. The method includes the following steps: transmitting multi-frequency signals to the metal environment to be detected using a millimeter-wave radar array, and extracting multipath signal sequences; performing interferometric phase analysis based on the multipath signal sequences to obtain the three-dimensional coordinates of the metal and the actual target reflection point; performing iterative forward calculation based on the three-dimensional coordinates of the metal and the actual target reflection point to obtain a first metal environment image; and performing iterative residual convergence on the first metal environment image to output a second metal environment image. This invention achieves high-precision and reliable three-dimensional imaging of complex metal environments.

The present application relates to a kind of detection method and device of traffic signal light state under vibration condition, solve the technical problem that signal light state identification is unreliable under vibration condition.Method includes: the image preprocessing of signal light video under vibration condition is carried out to overcome input interference and form the image sequence of detection;Through target detection model, signal light in input image is carried out target detection to obtain positioning area and detection confidence, and the statistical characteristic analysis of RGB channel is carried out to signal light by positioning area;According to detection confidence and statistical characteristic, the fusion probability determination of signal light state is carried out;According to the state time sequence of signal light, signal light interframe state is smoothed, and state conversion constraint is established to verify signal light state and output.Multiple-source information probability fusion can improve detection robustness, and modal feature fusion of cross-appearance information and structure information can effectively suppress noise, and improve the sensing performance in complex scene.

The invention discloses a virtual power plant aggregation user optimization system and method considering multiple types of users. Carrying out clustering analysis on the load curves of the residential users through a clustering algorithm, determining power utilization habits of different residential users, and constructing a multi-type user optimization index system; a cloud model is adopted to generate the membership degree of each index in the reference cloud; introducing an uncertain focal element and converting the uncertain focal element into basic probability distribution in an evidence theory; aiming at the problem that strong conflict evidence fusion may generate paradox in the traditional evidence theory, conflict evidences are identified according to a combined weight, conflict correction and fusion are carried out, and the closeness between basic probability distribution of each user and positive and negative ideal clouds is compared to determine the aggregation priority of the user; according to the method, a user optimization index system adapting to the characteristics of the virtual power plant is constructed, comprehensive evaluation is carried out through the cloud model and the improved evidence theory, and the randomness, fuzziness and uncertainty existing in virtual power plant user optimization can be effectively solved at the same time.

The present application provides a method, system, equipment and storage medium for high-precision detection of urban underground space, which relates to the field of geological exploration technology. The method includes: obtaining reflection seismic data, high-resolution electromagnetic response data, environmental noise data, wellside seismic data and well logging data in the target area, and performing fine processing on the reflection seismic data, high-resolution electromagnetic response data, environmental noise data, wellside seismic data and well logging data to obtain multi-source multi-scale detection data; extracting constraints based on the multi-source multi-scale detection data to obtain multi-source constraints, and constructing a three-dimensional information model of the urban underground space based on the multi-source constraints and the multi-source multi-scale detection data; performing data mining based on the three-dimensional information model of the urban underground space to obtain three-dimensional geological data. The above scheme can improve the accuracy of urban underground space detection.

The present application belongs to the technical field of lithium ion batteries, and particularly relates to a method for predicting the diving tendency of the cycle life of a lithium ion battery, comprising the following steps: step one: performing short-term cycle testing on the lithium ion battery to be tested, and recording the cycle number and capacity retention rate; step two: disassembling the battery after cycling, and respectively detecting the content of transition metal elements in the negative plate and the content of vinylene carbonate in the electrolyte; step three: establishing a fitting relationship between the capacity retention rate and the content of transition metal elements; step four: establishing a fitting relationship between the cycle number and the content of transition metal elements; step five: comparing X2 and X1, and judging whether the lithium ion battery has the diving tendency of the cycle life according to the comparison result. The present application can early, quickly and at low cost predict the diving tendency of the battery before the capacity diving of the battery, and the test cycle can be shortened by more than 80% compared with the traditional cycle life test.