16results about How to "Same characteristics" patented technology

The invention discloses a distributed photovoltaic power generation power prediction method and system based on online modeling. The method comprises the steps of 1, collecting distributed photovoltaic historical data to construct a historical data set; 2, establishing a rolling sampling model, starting from the previous day, carrying out rollback calculation by day, carrying out quality judgment on a data set of each day, and if an effective sample is lower than a threshold value, skipping the day to continue rollback until the number of days of the effective sample is greater than a set number of days N1; step 3, calculating a daily curve characteristic index based on the circularly sampled data, and determining a weather trajectory type of the to-be-predicted day; 4, judging whether the weather track type is matched with the weather type of the to-be-predicted day or not, and if yes, storing the data of the current day to an effective data set; and 5, judging whether the number of valid days of the data set meets a set condition N2 or not, and if so, carrying out photoelectric conversion modeling on the data set. According to the method, online updating of the photoelectric conversion model can be realized, and the distributed photovoltaic power prediction precision is improved.

The utility model provides a volume holographic optical waveguide display device with high uniformity. The volume holographic optical waveguide display device comprises an optical-mechanical system, a waveguide system and a control system, the waveguide system comprises a waveguide substrate and a grating structure arranged in the waveguide substrate, and specifically, the grating structure is a switchable Bragg grating array formed by holographic polymer dispersed liquid crystals. According to the utility model, the on-off state of the sub-grating is controlled by applying an electric field through the control electrode, and the sub-grating is controlled to be in a state with the maximum diffraction efficiency when being opened, so that the grating can couple most light energy in one-time diffraction, and the brightness and the uniformity of single-time light emission are improved; meanwhile, different coupling areas are switched in the grating structure through the control system, and the output view field freely moves in different grating areas, so that the same view field effect of opening all grating view fields is constructed, the basically uniform brightness of the whole coupling area is obtained, and the overall light effect utilization rate and the overall light brightness are improved.

The invention provides an AI model building method and system for a private cloud of a computing power network, and belongs to the technical field of artificial intelligence, and the method specifically comprises the steps: determining an available training model of an AI model through the matching conditions of different AI models in a public cloud and demand feature items, according to the method, on the basis of idle computing power resources in different working spaces in an existing computing power network, historical training problem data of the different working spaces under similar training conditions are determined in combination with the training data volume of a user and an available training model, and a secondary screening model in the available training model is determined based on the historical training problem data; the recommendation processing sequence of the secondary training model is determined according to the training prediction duration of the secondary training model in different working spaces and historical training problem data and matching coefficients under similar training conditions, and the AI model of the private cloud of the user is established by using the selection result of the user. And the efficiency and the matching degree of AI model building processing are improved.

The present invention discloses a microfluidic terahertz photonic crystal fiber based on an equidistant layered structure, the basic structure of which consists of a fiber core, a cladding, two left and right water inlets, and a microfluidic channel. The cladding is an equidistant layered structure, which consists of alternating photosensitive resin and air layers centered on the fiber core. The microfluidic channel is an annular channel connected to the inlet and outlet water in the first air layer of the photonic crystal fiber cladding. The present invention can realize non-contact measurement to monitor the refractive index change of the flowing liquid, and therefore has great development potential in biological and chemical detection and sensing applications.

Embodiments of the invention provide an audio processing method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining first music data and a processing instruction in a text form associated with the first music data; extracting a first chord proceeding feature and an audio feature of the first music data and a text feature of the processing instruction through a music processing model; processing the audio features through the music processing model according to the first chord proceeding features and the text features to generate second music data; a similarity between a first chord progression feature of the first music data and a second chord progression feature of the second music data is greater than a similarity threshold.

An MIMO array sparse rapid design method of a fuzzy function generator based on deep learning comprises the following steps: firstly, directly learning a fuzzy function mapping relation corresponding to virtual array configuration and an incident angle by using a deep learning model so as to replace a traditional analysis fuzzy function calculation process depending on a manifold matrix; and then performing efficient performance evaluation on the candidate sparse array based on the fuzzy function generator, and obtaining a sparse array structure meeting the requirements of high resolution and low sidelobe in combination with an optimization strategy. By means of the technology, acceleration of more than 35 times can be achieved on the premise of not explicitly calculating the fuzzy function, the fuzzy function prediction root mean square error (RMSE) lower than 0.1 is kept, and therefore the sparse array design time is greatly shortened. Experiments on a 2T4R K-band MIMO radar prove that the designed array achieves 10 dB sidelobe level in a 100-degree field of view, the angular resolution is improved by about 32.8%, and the effectiveness and engineering application value of the method in high-resolution MIMO sparse array design are proved.

The invention provides a tool suitable for packaging a coaxial resonant cavity and a packaging method, and the cavity comprises an outer cylinder; the inner cylinder body is formed by extending upwards from the center of the bottom of the outer cylinder body and is provided with a first through hole extending in the axial direction; wherein a first outer step part is formed on the outer wall of the upper part of the inner cylinder, a second outer step part is formed on the first outer step part, an inner step part is formed on the inner wall of the upper part of the outer cylinder, and a center hole of the cavity cover penetrates through the first outer step part, so that the outer edge of the cavity cover is supported on the inner step part; the tool comprises a metal ring which is arranged on the second outer step part and located between the inner cylinder and the center hole of the cavity cover, and at least part of the metal ring extends out of the cavity cover; the clamp is suitable for clamping the bottom of the outer barrel and the cavity cover and pressing the metal ring to deform, so that the metal ring is in contact with the inner barrel and the cavity cover on the second outer step part, and the cavity cover is used for packaging the containing cavity between the outer barrel and the inner barrel.

The invention relates to the technical field of millimeter wave power measurement, and provides an integrated calorimetric load based on a thin film technology and a power measurement method. The integrated calorimetric load comprises a waveguide tube and a chip absorber arranged outside the waveguide tube, the chip absorber comprises a silicon-based thin film layer and a functional thin film layer located on the silicon-based thin film layer, and the functional thin film layer comprises a first resistive thin film layer used as a direct-current heating source and a second resistive thin film layer used for measuring temperature. According to the technical scheme, the technical problem that an absorber with good matching characteristics and high replacement efficiency is difficult to design according to a traditional design thought when the signal frequency rises to a millimeter wave frequency band and even a terahertz frequency band in the prior art is solved.

The utility model provides a coaxial cylindrical wave horn which comprises an intermediate frequency driver, an intermediate frequency phase plug, an intermediate frequency cylindrical wave converter, a high frequency driver, a high frequency phase plug and a high frequency cylindrical wave converter which share the same axis, the intermediate frequency phase plug is embedded in the intermediate frequency driver, and the high frequency driver is embedded in the intermediate frequency phase plug. According to the utility model, the intermediate-frequency sound axis and the high-frequency sound axis of the horn coincide to form a coaxial structure, so that the coupling characteristics of the intermediate-frequency cylindrical wave converter and the high-frequency cylindrical wave converter are optimized, and coaxial coupling of double cylindrical waves is realized.

The application relates to the technical field of performance evaluation of a biological aerosol sampler, and provides a biological aerosol sampler performance evaluation method, which comprises the following steps: environment construction: adjusting and maintaining the temperature, humidity, air pressure and air cleanliness in a calibration cabin to a preset target range; aerosol generation and homogenization: generating standard aerosols containing a target tracer in the calibration cabin, and mixing the air in the cabin to form a test aerosol environment with uniform spatial concentration distribution in a sampling area; dynamic sampling: making the detected sampler and a comparative sampler sample at multiple different spatial points in the calibration cabin; data comparison and analysis: performing performance calibration on the detected sampler according to the sampling data of the detected sampler and the comparative sampler. The environment conditions highly close to actual application scenarios are constructed, and the comprehensive performance of the biological aerosol sampler can be scientifically, systematically and quantitatively evaluated and calibrated.

This invention belongs to the technical field of bearing fault diagnosis. To address the inaccuracy of existing bearing fault diagnosis methods, this invention proposes a fault diagnosis method and system for press bearings based on conditional generative adversarial networks (GANs). A generator is trained using operating condition vectors and Gaussian noise. A discriminator is trained using the health state features generated by the generator and the actual health state features. The generator and discriminator are then subjected to adversarial training to prevent the discriminator from distinguishing between the health state features generated by the generator and the actual health state features, as well as from distinguishing the matching between the health state features generated by the generator and the corresponding operating condition vectors. This results in a well-trained health state model. The health state model is then used to generate a dynamic health baseline for the press shaft to be diagnosed, thereby obtaining the fault diagnosis result for the press shaft and achieving high-precision fault diagnosis and early warning.

The utility model relates to the technical field of electronic device potting, and discloses a volume resistivity detection device of organic silica gel for electronic device potting, a storage box is arranged on the front side of the top of a fixing table, a clamping mechanism is arranged at the bottom of the fixing table, a rotation detection mechanism is arranged at the back end of the top of the fixing table, and the rotation detection mechanism is connected with the storage box. A detector is arranged on the front face of the rotation detection mechanism, the rotation detection mechanism comprises a rotation assembly and a detection assembly, the rotation assembly is arranged at the back end of the top of the fixed table, the detection assembly is arranged on the right side of the bottom of the rotation assembly, the rotation assembly comprises a supporting frame, and the supporting frame is fixedly connected to the back end of the bottom of the fixed table. According to the utility model, an organic silicon gel sample can be stirred before detection, so that the problems that the components of the organic silicon gel are possibly non-uniform and bubbles appear in the organic gel are effectively solved, the consistency of the characteristics of the sample is ensured when the volume resistivity is measured, and the accuracy of a measurement result is improved.

The invention discloses a patient-derived gastrointestinal stromal tumor organoid culture medium based on an SCF functional nucleic acid simulant and application of the patient-derived gastrointestinal stromal tumor organoid culture medium, and belongs to the technical field of tumor organoid culture. The patient-derived gastrointestinal stromal tumor organ culture medium based on the SCF functional nucleic acid simulant can effectively improve the nutrient composition proportion of the gastrointestinal stromal tumor organ culture medium, supports rapid growth and self-assembly of gastrointestinal stromal tumor organs, promotes tissue fibroblasts to be converted into tumor-related fibroblasts, and improves the survival rate of the tumor-related fibroblasts. The tumor microenvironment can be highly simulated, the gastrointestinal stromal tumor organ with the diameter of more than 300 microns and vigorous growth vigor can be obtained within 8-12 days, and long-term subculture can be carried out; cultured gastrointestinal stromal tumor organs are highly consistent with tumor tissue pathological phenotypes and histochemical characteristics of patients from the organs, and the method can be used for clinical drug sensitivity assessment and basic scientific research of gastrointestinal stromal tumors; and the culture medium is better in stability and lower in cost.

The present invention relates to the technical field of postoperative management, and in particular to an intelligent postoperative rehabilitation management system for critically ill children. The system includes a postoperative rehabilitation EEG signal monitoring module, a postoperative rehabilitation consciousness and cognitive state analysis module, a consciousness and cognitive state rehabilitation intelligent strategy analysis module, and a child postoperative rehabilitation intelligent management module. The system can perform signal preprocessing and equipment abnormal EEG distribution calibration processing on the EEG signal feedback from the rehabilitation perception operation performed on the critically ill children after surgery through a preset rehabilitation perception signal, and generate an EEG signal distribution calibration spectrum during postoperative rehabilitation; perform consciousness and cognitive score quantitative calculation and consciousness and cognitive state division on the EEG signal distribution calibration spectrum during postoperative rehabilitation, and perform rehabilitation goal setting and rehabilitation activity project intelligent strategy analysis, and perform postoperative rehabilitation intelligent management at the same time, and obtain the intelligent management results of postoperative rehabilitation for critically ill children. The present invention can achieve the intelligent management effect of the postoperative rehabilitation process of children.

The invention relates to the technical field of verification code identification, in particular to a multi-mode AIGC image-text matching question and answer verification code identification method, which comprises the following steps of: acquiring an image and a text; object extraction; determining a scene matching degree; determining training set images; adjusting the preset generation duration; and feature extraction and result output. According to the method, through a multi-level judgment and screening mechanism, the matching precision of the image and the text is improved, it is ensured that the generated training set is higher in quality and higher in adaptability, the model has higher robustness and accuracy when the verification code is processed through introduced comprehensive analysis of multiple image quality indexes and text features, and the method is suitable for popularization and application. Through an innovative multi-modal training strategy, the verification code recognition efficiency is improved, the false recognition rate can be effectively reduced in practical application, guarantee is provided for safety and user experience, and the problems of insufficient adaptability and low recognition accuracy caused by recognition dependence on specific types of verification codes are effectively solved.

The invention provides a feature extraction and fusion reconstruction method, an electronic device, a medium and a product, the feature extraction and fusion reconstruction method comprises the following steps: obtaining channel time sequence data, and carrying out dimension standardization and time sequence arrangement on the channel time sequence data to obtain preprocessed data; pCA dimension reduction processing is carried out on the preprocessed data, and static features are extracted; sampling the preprocessed data by adopting a sliding window, and constructing a time sequence sample; extracting dynamic characteristics of the time sequence samples; performing full-connection mapping on the static features; performing feature splicing and regression output on the static features and the dynamic features; and training, testing, evaluating and visualizing the output result. According to the feature extraction and fusion reconstruction method, the static space feature and the dynamic time-varying feature of the channel can be precisely restored, high-precision channel modeling and reconstruction of a millimeter wave communication system in a dynamic environment are achieved, robustness, stability and channel estimation performance are good, delay is short, and generalization ability is high.