15results about How to "Avoid rigidity" patented technology

The utility model relates to the technical field of brake pad treatment, and discloses a passenger car brake pad steel backing surface treatment device which comprises a shell, a partition plate is connected between the inner walls of the shell, a feeding air cylinder is connected to the bottom end of the partition plate, and the output end of the feeding air cylinder penetrates through the partition plate and is connected with a push plate. A loading platform is rotatably arranged at the top end of the push plate, a placing frame is connected to the top end of the loading platform, and a downward pressing air cylinder is connected to the top end of the shell. Through the arrangement of the placing frame, the back faces of a plurality of brake pads can be polished at the same time, the working efficiency is improved, meanwhile, impurities generated during polishing are recycled through the recycling mechanism, the hardness to the environment is effectively avoided, driving is conducted through the principle of an electronic stator and a rotor, the driving effect of overall rotation is kept, and the service life of the brake pads is prolonged. And meanwhile, a good heat dissipation effect is achieved, and feeding and discharging are convenient through rotation of the loading platform.

This invention discloses an energy-saving method and system based on data sensing, belonging to the field of energy-saving optimization technology. The method includes: using a sensor array to collect raw multi-source sensor data, performing data preprocessing and feature extraction to generate room occupancy status and a state vector; based on the room occupancy status, inputting the state vector into a macroscopic decision-making agent constructed based on a reinforcement learning algorithm to generate an optimal dynamic weight coefficient vector; based on the optimal dynamic weight coefficient vector, using an improved Hippo optimization algorithm to solve a multi-objective optimization function to generate an optimal equipment control parameter vector; executing the optimal equipment control parameter vector, returning to the sensor data acquisition step, calculating the immediate reward value after the decision, and updating the macroscopic decision-making agent using the corresponding state transition data. This invention solves the problems of poor flexibility, low optimization accuracy, and difficulty in balancing multiple objectives in existing energy-saving control strategies.

The invention relates to the technical field of bird repelling equipment and image recognition, and particularly discloses an active positioning bird repelling system based on vision and radar fusion. The system comprises a multi-sensor fusion sensing module, a target cooperative processing and positioning module, a dynamic strategy generation module and a multi-mode bird repelling execution module. Through fusion processing of millimeter-wave radar and double-spectrum vision, accurate identification and three-dimensional positioning of a bird target are realized, an optimal bird repelling strategy is dynamically generated based on threat assessment and environmental perception, and directional sound waves and laser are controlled to execute accurate repelling, so that the bird repelling efficiency is improved, and environmental interference is reduced.

The application discloses a kind of pure natural royal jelly freeze-dried powder detection methods, it is related to quality detection technical field, the method includes the following steps: collecting the multi-dimensional original data of royal jelly freeze-dried powder, data is handled to generate data matrix, from data matrix extraction key feature index set, to index set is analyzed and evaluated to generate authenticity score, generate digital detection report and quality spectrum, based on detection result is continuously optimized.The application, by fusing near-infrared spectrum, microscopic image, physicochemical activity and block chain traceability and other multi-source heterogeneous data, intelligent evaluation is carried out using knowledge graph and lightweight multi-modal network, realizes the multi-dimensional, high-precision analysis of the pure nature, naturalness and adulteration of royal jelly freeze-dried powder.

This application discloses a question-answering method, apparatus, device, medium, and product, relating to the field of computer technology. The question-answering method includes: matching a user's question with standard question text in a target question-answering knowledge base to obtain a semantic matching degree corresponding to the matched result question text; determining an answer strategy for the user's question based on the semantic matching degree of the result question text; and generating an answer statement corresponding to the user's question based on the answer strategy. Based on this application embodiment, the accuracy and reasonableness of answers to telecommunications service questions can be improved.

The invention discloses a multi-channel fusion network communication simulation deduction method and system based on digital twinborn driving. The method comprises the following steps: constructing a communication environment digital twinborn body; the method comprises the following steps: acquiring data in real physical network operation through a sensor and a network probe, mapping the data to a virtual space by using a virtual-real mapping technology, and establishing a digital twin communication environment model corresponding to a physical communication network in real time; based on the digital twin communication environment model, heterogeneous channel characteristics are analyzed, a dynamic multi-channel parameter set is constructed, each channel is calibrated and classified, and a multi-channel converged communication resource library is established; and constructing a data transmission channel between the physical communication domain and the virtual communication domain. According to the method, real-time simulation deduction of a large-scale multi-channel network is achieved while high-precision prediction is guaranteed, and the technical problem that real-time performance and accuracy cannot be achieved at the same time in a complex network environment is solved.

The invention discloses a carbon emission transaction method based on an intelligent contract, and belongs to the technical field of information. Through a block chain technology and an intelligent contract, in combination with a zero-knowledge proof technology, the privacy of an enterprise in a transaction process is ensured, and through an adaptive pricing engine and an automatic clearing mechanism, the flexibility and compliance of market transactions are improved. Specifically, an enterprise submits an order commitment in a transaction process, verifies the validity of an order through zero-knowledge proof, matches the order through a privacy protection algorithm, and generates a transaction scheme. And after the transaction is finished, atomic exchange is carried out on the transaction through the Hash time lock contract, so that the security and fairness of the transaction are ensured. Meanwhile, the price depreciation ratio is dynamically adjusted based on market fluctuation, the historical fulfillment rate and enterprise emission data, and fulfillment check is automatically triggered in a clearing period, so that the enterprise is ensured to fulfill the carbon emission responsibility. Through the method, the enterprise can carry out flexible and automatic carbon emission permit transaction on the premise of privacy protection, and the efficiency and transparency of the market are improved.

The invention relates to the field of data processing, in particular to a data processing method of a multifunctional edge computing gateway and related equipment. The method comprises the following steps: acquiring a standard data stream of an access gateway; performing dynamic priority evaluation on the standard data flow to obtain a priority sequence; identifying operation state parameters of the plurality of edge computing gateways, and performing load capacity evaluation to obtain load evaluation values of the plurality of gateways; carrying out transmission demand matching on the load evaluation value according to the priority sequence, and generating a priority task queue of a plurality of gateways; and performing sequential transmission processing on the priority task queue, and outputting a transmission job report. According to the invention, the operation stability and the overall data processing efficiency of the edge computing gateway are improved.

The invention belongs to the technical field of precast concrete processing, and relates to vibrating production equipment for precast concrete processing. The device comprises a vibrating system, a gas detection system and a gas injection system. The gas detection system comprises a gas extraction assembly which is arranged near the vibrating rod and is used for extracting gas exhausted during vibrating, and a gas concentration detector which is connected to the gas outlet end of the gas extraction assembly and is used for detecting the concentration of inert marking gas in the gas. And the gas injection system comprises a gas injection assembly for injecting inert marking gas into the stirring tank. Helium is mixed in the concrete preparation process, so that bubbles in concrete contain helium with a certain concentration, in the vibrating process, mixed gas of the concrete is discharged and collected into a pipeline, and the concentration of the helium is detected by a gas concentration detector. The content of the gas in the concrete is judged by detecting the concentration of the helium, so that the bubble discharge degree in the concrete is judged, and under-vibration or over-vibration is effectively prevented.

The application discloses a kind of based on multi-source information intelligent agent's electric load feature extraction system, it is related to load sampling technical field.The system includes multiple information processing intelligent agents and at least one comprehensive intelligent agent.For receiving original electric power related data and extracting the basic feature vector of this source domain.Task perception interface is used to obtain the feature requirement information of target analysis model.Dynamic collaborative scheduler dynamically selects the intelligent agent set participating in collaboration according to feature requirement information, and allocates real-time computing resources and data sampling strategy for each selected intelligent agent.Feature collaborative recombination engine receives the basic feature vector output by selected intelligent agent, and carries out cross-domain collaborative fusion, generates the electric load feature tensor adapted to target analysis model.Effectively solve the problem of insufficient multi-source information fusion depth and low feature recombination accuracy, significantly improve the flexibility of feature extraction and the adaptation ability to complex analysis model.

The invention relates to the technical field of optical-storage direct-flexible system control, and provides an optical-storage direct-flexible control method and system based on multi-modal data fusion and dynamic mapping, and the method comprises the steps: obtaining natural language instruction information and system operation state data inputted by a user in a control period, carrying out the analysis of a natural language instruction to extract a control demand parameter, and carrying out the analysis of the control demand parameter; state coding is carried out on the operation state data to generate system state parameters; generating a unified control parameter set based on the control demand parameters and the system state parameters, and determining target function weight parameters and operation constraint parameters required by model prediction control according to the unified control parameter set; performing rolling optimization calculation on the photovoltaic power generation unit, the energy storage unit and the flexible load under the constraint of the target function weight parameter and the operation constraint parameter to generate an energy scheduling control quantity, and performing safety verification to form a control instruction to be issued and executed; and updating the control parameter corresponding relation according to an execution result of the control instruction. And the operation safety of the optical storage direct-flexible system is improved.

The present application relates to the field of ecological revetment in the field of hydraulic engineering, and particularly relates to a riprapping ecological revetment system suitable for water level drawdown. The system comprises an ecological soil base layer, a filter layer, a riprapping revetment, a simulated wood pile scour protection belt and a planting groove; the ecological soil base layer has a compaction degree of greater than or equal to 93%, providing a dense support; the filter layer ensures smooth seepage and prevents soil loss; the riprapping revetment is formed by stacking large-diameter block stones according to gradation, forming a rigid skeleton resistant to scour; the planting groove is fixed in the riprapping structure, providing space for vegetation and anchoring the surface riprapping. The present application forms a closed-loop protection system through the cooperation of the five, effectively solving the problems of traditional riprapping revetment, such as easy scouring and instability during water level drawdown, and high maintenance cost, and has the advantages of scour resistance, ecology and universality, and is suitable for water level rapid rise and fall scenes such as regulating and storing lakes, reservoir drawdown zones, tidal river shorelines and the like.

The application relates to the field of big data analysis, and discloses a user portrait construction method and system based on multi-source heterogeneous data fusion. The method comprises the following steps: obtaining original log streams from a multi-source heterogeneous environment, extracting feature representation vectors, analyzing weights, performing weighted processing, obtaining a weighted feature sequence, calculating mutual information values of the weighted feature sequence, performing feature fusion, performing matching degree checking, sorting and user binding according to a historical benchmark portrait, obtaining a binding behavior label set, analyzing the binding behavior label set, inputting the binding behavior label set into a pre-trained incremental learning model, obtaining core label values after variance checking, performing mapping processing to generate an optimized recommendation sequence, executing the optimized recommendation sequence, collecting interaction behavior logs, and realizing dynamic evolution of a user portrait. The application can realize efficient integration of multi-source data and dynamic updating of portrait labels, and further improve the accuracy and timeliness of a user portrait.

The application discloses a mountain torrent disaster dangerous area dynamic delimitation method based on multi-source data coupling, comprising the following steps: acquiring meteorological radar rainfall prediction data, ground surface deformation monitoring data and high-precision DEM terrain data in real time, and performing data preprocessing to generate a fused multi-source data set; a distributed hydrological model is constructed to calculate sub-basin runoff and inflow; a Seq2Seq-LSTM model is trained based on rainfall-water level-rising speed time series data to predict dangerous areas in a future set time period, and a SOM-CLARA clustering algorithm is used to dynamically divide high / medium / low risk areas by taking rainfall intensity, ground surface deformation rate and slope as characteristic vectors; and the warning levels of the risk areas are determined in combination with a critical rainfall threshold and a spatial heterogeneity index. Through multi-source data dynamic coupling and an adaptive delimitation algorithm, the application dynamically adjusts the range of the dangerous area, and significantly improves the accuracy and timeliness of mountain torrent disaster risk prevention and control.

The invention provides an intelligent driving scene data annotation auditing method and system and storage equipment, and the method comprises the steps: reading a tag file according to a data storage path; analyzing the label file, enabling the labeling data to correspond to the image data one by one, and generating an image label data sequence based on a time sequence; according to the image label data sequence and an auditing demand, constructing a first enhanced cue word, and generating a data auditing plan by using the large model; generating a directed acyclic graph of a calling tool chain based on the data auditing plan; and based on the directed acyclic graph, dynamically calling each tool to audit the annotation data and the image data, generating a data auditing report and outputting the data auditing report. According to the intelligent driving scene data annotation auditing method, automation is achieved in the whole process of data reading, analysis, planning, auditing execution and report output, manual operation links are greatly reduced, the data auditing efficiency is improved, and the data quality and reliability are improved.