8results about How to "Detailed analysis" patented technology

This invention provides a method, apparatus, electronic device, and readable storage medium for processing electricity consumption data. The method includes clustering users based on a first frozen electricity consumption to obtain first cluster centers for electricity consumption patterns; determining a target electricity consumption cycle based on the changing trend of the first frozen electricity consumption; clustering users based on a second frozen electricity consumption to obtain second cluster centers; and comparing the first and second cluster centers to obtain an analysis result of the user's electricity consumption habits. Thus, this invention, without excessively increasing sampling pressure, obtains a more detailed analysis of electricity consumption behavior through a broader dimensional analysis of the first frozen electricity consumption, thereby providing a more scientific and reliable theoretical support for distribution network management and adjustments.

The utility model relates to a new energy commercial vehicle resolver signal detection circuit comprising a filter circuit comprising a first filter unit and a second filter unit, and the output end of the second filter unit outputs the positive differential output and the negative differential output of a resolver signal to a decoding chip; the differential circuit comprises a buffer amplification unit and a third filtering unit, the input end of the buffer amplification unit is connected with the second output end of the first filtering unit, the output end of the buffer amplification unit is connected with the input end of the third filtering unit, and the output end of the third filtering unit outputs a decoding signal; and the micro-control unit is connected with the output end of the third filtering unit, and the micro-control unit is used for judging the fault type of the rotary transformer in combination with the information of the decoding chip. According to the utility model, through combination of multi-stage filtering, differential signal processing and the micro-control unit, the stability of a rotary transformer signal can be effectively improved, and faults can be accurately diagnosed.

This invention belongs to the field of intelligent transportation technology, specifically relating to a traffic situation analysis system based on holographic intersections. It includes edge devices, a data access module, an intersection modeling unit, a data analysis module, a data storage module, and an anomaly backtracking module. The edge devices collect cross-sectional flow, speed, queue length, vehicle trajectory, and traffic signal control data; the data access module receives this information. The intersection modeling unit constructs a detailed 3D digital model including lanes, stop lines, zebra crossings, and other elements. The data analysis module calculates multiple situation indicators such as intersection overflow degree, traffic imbalance index, and congestion degree based on traffic data and the model. The data storage module stores traffic data, the model, and records of anomalies exceeding thresholds. The anomaly backtracking module can trace back to the state before the anomaly occurred based on the anomaly records, supporting the retrieval of monitoring videos, trajectory data, and the situation results at the corresponding time, assisting in the analysis of the causes of the anomalies.

The utility model relates to strength detection technical field, concretely relates to a water conservancy project reinforcing steel strength detection device, include: base, the two sides of base upper end surface length direction symmetry fixedly connected with two slide ways, the two sides of base upper end surface width direction symmetry fixedly connected with two orifice plates, two the two sides of orifice plate opposite surface all fixedly connected with scale rule. Through the telescoping of first electric telescopic rod in vibration subassembly, realize the approach and the far away of roof and first sliding block, further realize the extrusion fixed of chuck and the one end of reinforcing steel placed in resonance recess, reinforcing steel and resonance recess contact through elastic transmission block, make vibration force transmission to resonance recess, realize the purpose of effectively amplifying to vibration force with the synergistic effect of resonance block and resonance rope, thereby promote the strength and the definition of detection signal, further improve the sensitivity and accuracy of reinforcing steel strength detection, slide realize more positioning reinforcing steel local quality problem.

The utility model relates to a kind of hydraulic cylinder sectional pressure test equipment, belong to hydraulic test equipment.The utility model adopts technical scheme: including hydraulic station, drive hydraulic cylinder, rectangular frame and movable baffle, rectangular frame is frame structure, middle is equipped with long-groove hydraulic cylinder installation groove, both sides are equipped with the recessed sliding slot, the movable baffle is in installation hydraulic cylinder installation groove, the movable baffle both sides are equipped with moving block, the partial structure of movable baffle is in sliding slot, screw hole is opened on moving block, fixed bolt is set in screw hole, fixed bolt is arranged in screw hole and is fixed fixed block in sliding slot by toping;The cylinder body end fixed hole of the hydraulic cylinder to be tested is connected with the through hole on connecting lug through pin shaft coaxially, the liquid inlet hole of the hydraulic cylinder is connected with hydraulic station through hydraulic rubber tube, the piston rod end of the hydraulic cylinder is against movable baffle. Different length sectional pressure test can be carried out, the pressure change, deformation condition and the performance of bearing capacity of jack in each stage are analyzed.

The invention discloses an interactive text generation method for children autism risk assessment. The method comprises the following steps: step 1, acquiring autism domain knowledge and initializing a knowledge database; step 2, capturing expressions and voices of a user in real time from a multi-modal sensor, converting the expressions and the voices into text features, and performing feature fusion; and step 3, loading the fused features into a large language model, and in combination with a knowledge base retrieval enhancement technology, completing one or more rounds of interaction through an analysis chain, an interview chain and a question chain to generate an interactive text. The interactive text generation strategy is iterated and optimized according to the dialogue context and the multi-modal features, and according to the dialogue context, a scale score is summarized through a large language model, and a user portrait and an interview result are output. The invention further provides a generation system for implementing the interactive text generation method and related applications, and the interactive text generation method has wide application value.

The invention discloses a down feather recognition method and system based on deep learning, and the method comprises the steps: S1, obtaining an original down feather image, carrying out the preprocessing of the obtained original down feather image, and obtaining a processed down feather feature map; s2, the obtained feature map is input into an improved residual network WT-ResNet model, the WT-ResNet model at least comprises a WT-ResNet layer, and the WT-ResNet layer processes the input feature map and then outputs a final feature map containing deep semantic information; and S3, inputting the output final feature map into a classification activation layer, obtaining a probability value of down feather image classification through activation function processing, and judging whether the down feather image is fresh down feather or recycled down feather based on the probability value.

The present application relates to a kind of highway photovoltaic power generation potential evaluation method and device based on unmanned aerial vehicle, method includes: by unmanned aerial vehicle, obtain highway along high-resolution multispectral image, laser point cloud and meteorological observation data;Data is automatically preprocessed and fused to generate feature dataset containing terrain, ground cover and weather information;Based on the dataset, the key factor that influences photovoltaic power generation is analyzed and quantified, and a standardized factor vector is formed;The factor vector is input into the prediction model constructed by the fusion of analytic hierarchy process and neural network, and the photovoltaic power generation potential of each evaluation unit and the whole road is calculated, and a visual evaluation report is automatically generated.The method effectively overcomes the problems of insufficient accuracy of traditional satellite remote sensing and low efficiency of manual survey, realizes efficient, accurate and comprehensive automatic evaluation of highway photovoltaic resources, and provides a reliable basis for photovoltaic project planning and decision-making.