6results about How to "Solve the traceability problem" patented technology

The invention discloses a power grid panoramic waveform fault identification and traceability method and system of a space-time spectrum S network. The method comprises the following steps: calculating a plurality of characteristic values according to panoramic waveform data, and splicing the characteristic values to obtain a fusion characteristic value; the time domain signal with the fused feature value is input into a trained space-time spectrum S network to obtain a fault type and a fault position, the space-time spectrum S network comprises a multi-stage feature extraction module, a full connection layer and a multi-task learning assembly, and the feature extraction module comprises a time-frequency spectrum module, a convolution layer and a pooling layer which are connected in sequence; the time-frequency spectrum module comprises a convolutional layer, a global feature extraction branch, a local time-frequency feature extraction branch and a feature fusion module, and features extracted by the feature extraction module are sent to the multi-task learning component through a full connection layer to obtain the fault type and the fault position of the power grid. The invention aims to improve the accuracy and positioning capability of fault monitoring of the novel power system and solve the problem that novel faults of a power grid in the novel power system are difficult to identify and trace.

The invention discloses a hydrological sequence missing data complementation and trend prediction system and method, and belongs to the technical field of water conservancy information. The system comprises a data acquisition and preprocessing module, a spatial-temporal feature fusion module, a physical constraint completion module, an uncertainty prediction module, a credible evidence storage and verification module and a visual tracing module which are connected in sequence. The method comprises the following steps: collecting and preprocessing multi-source hydrological data; combining the spatial-temporal features through a dual-channel network to generate joint representation; generating and checking a completion sequence based on joint representation and coupling physical constraints such as a unit line method and a Manning formula; performing uncertainty trend prediction by using an integrated predictor; the key data of the whole process are linked and stored, and are automatically verified through an intelligent contract; and full-life-cycle visual tracing is provided. According to the method, the complementation robustness and accuracy in a high-missing-rate scene are effectively improved, the physical consistency of a complementation result is ensured, and credible evidence storage and transparent decision of the whole process are realized.

The invention relates to an intelligent dish matching device for an automatic frying pan, and aims to improve the cooking efficiency and food safety management in the catering industry. The device comprises a vegetable cleaning cabinet, a mechanical arm, a mechanical clamping jaw, a guide rail system, a frying pan and a control system. The clean vegetable cabinet realizes automatic supplement of food materials through a landslide system, supports classified storage of the food materials and shortens the vegetable preparation time; a mechanical arm is combined with a guide rail system, the grabbing range is expanded through a six-degree-of-freedom rotating joint and motor driving, and efficient operation between a food cabinet and a frying pan is achieved; the frying pan has a rotating function, and the angle can be adjusted according to cooking requirements so as to be matched with feeding of food materials and pouring of finished products. And the food material identifier, the wok identifier and the finished dish identifier are tracked in real time through an industrial internet identifier analysis technology, the food quality and safety are ensured, and intelligent scheduling of tasks is realized in combination with a multi-objective optimization algorithm. The device supports parallel operation of multiple pots, the meal delivery speed is effectively increased, and the requirements of the catering industry for efficient and intelligent production are met.

The application relates to the technical field of data processing, and discloses a rain and sewage mixed connection tracing and spatial positioning method for a drainage pipe network of a micro monitoring station network, which comprises the following steps: according to the flow connection relationship of the drainage pipe network and the layout nodes of the micro monitoring station, the upstream confluence pipe network range of each micro monitoring station is defined, and a unique mapping relationship database between each pipe section and the corresponding multi-level monitoring topological sequence thereof is established; water quality and water level data of the monitoring station are acquired, and an analysis time period is intercepted; based on the space-time propagation correlation attribute of the data between the stations, a target monitoring topological sequence currently producing a response is identified in the mapping relationship database; a homomorphic mapping candidate pipe section set corresponding to the sequence is locked, and a pollutant source discharge inversion model of each candidate pipe section is constructed according to the fluid transport and diffusion mechanism of the pipe network; the model is used to calculate the fitting deviation degree of each candidate pipe section source hypothesis to the monitoring data, and the pipe section with the minimum deviation degree is selected as the positioning result.

The method for extracting evolution law of complex system under multiple fault coupling conditions comprises the following steps: S1, constructing historical state information dataset and collecting incremental data in real time; S2, preprocessing the dataset and the incremental data to obtain multiple sets of normalized data; S3, performing clustering analysis on the multiple sets of normalized data to obtain clustering results, and determining the number N of categories and the centers of the categories; S4, performing fault backtracking on the data in S3 by using the number N of categories and the centers of the categories to obtain multiple evolution clustering results; S5, extracting law from each clustering result to obtain multiple optimized evolution clustering results; S6, performing fault positioning and prediction according to the optimized evolution clustering results; and S7, performing cause analysis according to the correlation between the prediction results and the measured data in S6. The evolution law extraction method solves the problems of fault prediction and tracing under the condition of coupled faults.

The application discloses a torque tracing method for customized production of commercial vehicles, and relates to the technical field of automobile production, and comprises the following steps: a management platform formulates a work order task package according to order information of a target vehicle; a work station platform selects a to-be-executed task from the work order task package; the management platform sends torque fixing process parameters to torque fixing equipment of the corresponding work station platform to execute tightening work; and the management platform stores result data of the torque fixing equipment in association with a vehicle identification code of the target vehicle. Through the method, the tracing granularity is refined from the whole vehicle level to the material unit level, and the active selection of the work station is used to replace the binding relationship between the system preset work station and the task, so that the torque tracing problem caused by the uncertain vehicle type state and the multi-station operation of the same material unit in the customized production scene of the commercial vehicle is solved, and the accurate tracing closed loop of the tightening data to the specific vehicle and the specific material unit is realized.