25results about How to "Efficient feedback" patented technology

The invention discloses an industrial internet trusted data communication method and system, and relates to the technical field of data communication, and the method comprises the steps: taking an equipment end and an employee end as data collection points, building an initial trust value for each data collection node, and obtaining a dynamically adjusted trust value for each data collection node according to the historical performance and real-time state of the data collection node; classifying and aggregating the collected data according to the data type and the trust value; dynamically allocating bandwidth resources according to the trust value and the data type; after data transmission is completed, a bidirectional confirmation mechanism is started, a sender and a receiver confirm whether the data is successfully sent and received through a feedback mechanism, and if the sender does not receive a confirmation message within a specified time, a timeout mechanism is triggered, and a data packet is sent again until the data packet is confirmed to be received; and calculating an average transmission success rate, and dynamically adjusting strategies of data acquisition, compression and bandwidth allocation.

The invention relates to the technical field of industrial data acquisition and processing, and discloses a different industrial data optimal acquisition scheme analysis system and method based on an SCADA system, and the system comprises an industrial data acquisition information processing module, an industrial data acquisition scheme analysis module, and an industrial data acquisition optimal scheme generation module. According to client target industrial data acquisition scheme type information, in combination with an intelligent identification algorithm and industrial data acquisition scheme equipment composition information, industrial data acquisition scheme equipment composition information efficient retrieval is carried out, and equipment information used by different types of industrial data acquisition schemes is efficiently and scientifically analyzed; the industrial application applicability of the SCADA system is improved; the unit price information of the client target industrial data acquisition scheme composition equipment and the cost information of the client target industrial data acquisition scheme are scientifically and accurately counted, the cost information of different types of industrial data acquisition schemes is autonomously measured on line, and the scientificity of the industrial application of the SCADA system is improved.

The invention discloses a pre-splitting blasting half-wall porosity intelligent identification system and method, and the system comprises a front-end display platform and a rear-end operation system which carry out data interaction through a computer, and the operation result information is displayed and checked through the front-end display platform; the front-end display platform consists of a menu bar, a toolbar, a display window and a command line; the rear-end operation system mainly comprises a half-wall hole image database, an image denoising module, an image segmentation module, a data statistical analysis module, an identification calculation module and the like, half-wall hole photo images are collected on steps on the two sides of the platform through the unmanned aerial vehicle oblique photography technology with or without the RTK function, a three-dimensional image database marked with half-wall hole information is established, and the three-dimensional image database is used for storing the half-wall hole information. An intelligent half-wall porosity recognition algorithm based on computer deep learning is developed, accurate recognition of the half-wall porosity is achieved, the traditional presplitting blasting quality evaluation efficiency can be greatly improved, and the method can be widely applied to slope presplitting blasting effect evaluation in the fields of surface mines, water conservancy and hydropower, transportation and the like.

The invention provides a sales data analysis method based on big data and cloud computing, and the method comprises the steps: cleaning product sales data from multiple channels, and carrying out the partition storage processing according to dimensions; constructing a hypergraph model according to the processed data; designing a hypergraph convolutional network to learn the hypergraph model and optimize the synergistic effect between product nodes; constructing a dynamic strategy generation model according to the synergistic effect score, and outputting an optimal strategy; and applying the optimal strategy to a user front end to collect feedback data, optimizing the prediction capability of the hypergraph model, and designing a time decay regularization mechanism to control the dependence of the hypergraph model on historical data, thereby realizing complete feedback closed-loop optimization. The method not only optimizes the formulation process of the sales strategy, but also can improve the coping ability of an enterprise in an environment where the market changes rapidly, and finally improves the overall market competitiveness.

The invention relates to the technical field of braking energy feedback, in particular to a regenerative braking energy feedback control method based on multi-sensor fusion, and the method comprises the steps: respectively collecting vehicle driving state data and pedal state data in a vehicle driving process, and carrying out the preprocessing of the collected data; performing feature extraction on the preprocessed vehicle driving state data and pedal state data, and constructing a driver intention recognition model with the vehicle driving state data and the pedal state data as input and driver intention as output; and inputting the real-time vehicle driving state data and the real-time pedal state data into the driver intention recognition model to obtain a real-time driver intention, calculating a total braking force demand, and performing distribution control of regenerative braking and mechanical braking. The intervention opportunity and direction of regenerative braking are obtained by recognizing the intention of a driver, and more efficient and more stable energy feedback is achieved.

The invention belongs to the technical field of aircraft air refueling design, and particularly relates to an aircraft soft air refueling and receiving control method which comprises the steps that S1, a refueling formation is added; s2, carrying out oil receiving occupation; s3, carrying out pre-docking; s4, refueling butt joint is carried out; s5, air refueling is carried out; s6, backward separation is carried out; s7, re-formation is carried out; and S8, carrying out formation dissociation.

The invention discloses a brake control method and application thereof in crane working control, according to the scheme, when a hydraulic brake works, hydraulic oil flow in a hydraulic system oil way of the hydraulic brake is monitored, and pressure data in a hydraulic cylinder is monitored, so that the working condition of a hydraulic system of the brake is judged; then, in combination with a pre-constructed braking force estimation model, braking force data and braking state information when the hydraulic brake works are estimated, so that reliable and effective information feedback is provided for working control of the brake; according to the scheme, different braking force estimation logic formulas are called according to the pressure maintaining state or the non-pressure maintaining state pointed by the braking state information, so that the estimation of the braking force is more reliable; according to the scheme, the data value of the collected data is adjusted by regularly correcting the brake and monitoring the working temperature of the hydraulic oil, and more reliable logic support is provided for the brake in different working environments.

The present invention discloses an electrocardiogram signal monitoring system and method for smart underwear, which relates to the technical field of signal monitoring. The data collection process of the smart underwear is tested, and data accuracy is generated by a scene test data set. If the data accuracy is not lower than expected, different working modes are set for the smart underwear, and its working modes are switched according to changes in the use scenarios of the smart underwear; the smart underwear collects data from elderly postoperative patients, encrypts the collected data, and uses a trained abnormal indicator recognition model to identify the data after decryption. If an abnormal electrocardiogram signal exists, the smart underwear sends an alarm instruction to the outside; after feature extraction of the electrocardiogram data of elderly postoperative patients, the knowledge graph of postoperative rehabilitation intervention of the patients is used to match the corresponding intervention plan; when abnormalities occur in the patient's body, timely and targeted processing can be carried out to implement intervention and protection of the patient's rehabilitation process.

The invention provides a real-time processing method and device for industrial processing process data, equipment and a medium. The method comprises the following steps: configuring a filtering condition of a batch processing data pushing system; based on production task pushing of the batch processing data pushing system, operation starting data is pushed when industrial processing operation starts, and operation final state data is pushed when the operation ends; configuring a timed task based on the filtering condition, and collecting real-time data of charging and output according to a preset time interval; when the operation final state data is received, the collected real-time data of feeding and output are summarized, and the feeding amount and the output amount are calculated based on the initial parameter value and the termination parameter value; and the collected real-time data is stored in a historical database, and the real-time data, the feeding amount and the output amount are displayed in real time through a visual interface. According to the invention, feeding and output data can be fed back more efficiently and flexibly in real time, and the data processing efficiency and real-time performance of the industrial processing process are improved.

The invention relates to a water-cooling monitoring system and method for an induction heating power supply, and the system is characterized in that each branch of a water-cooling device is connected to a water inlet and outlet main pipe through a water inlet pipe and a water outlet pipe, the water inlet main pipe is provided with an electric ball valve corresponding to each branch, and each branch of the water-cooling device is provided with a branch temperature detection unit; the water inlet main pipe is connected with a gas tank through a pipeline and a gas tank valve, and a drain valve is arranged at the tail of the water inlet and outlet main pipe. According to the invention, the outlet water temperature of each branch water cooling device of the induction heating power supply is effectively monitored; according to the expected temperature values of the water-cooling device when the water-cooling device operates at different power sections set by the main control unit, the water outlet temperature fed back by the temperature switch is analyzed, and the electric ball valves of the branches are controlled to adjust the flow of the corresponding branches, so that the water-cooling device operates at a proper temperature, the loss of the water-cooling unit and the device is reduced, and the service life is prolonged; and after shutdown, water in each branch can be automatically discharged, so that repeated disassembly is reduced, and the efficiency is improved.

The invention discloses a photovoltaic power station multi-source fusion remote monitoring method and system based on a cloud platform, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: deploying a plurality of data collection units at a target photovoltaic power station, collecting the multi-source operation data of the target photovoltaic power station in real time, uploading the multi-source operation data to a cloud data processing platform, and carrying out the fusion and correlation analysis, power generation performance deviation is identified, an abnormal cause is positioned, and a fault analysis result is generated; and generating a fault processing scheme according to a fault analysis result, and pushing the operation and maintenance work order to an operation and maintenance personnel terminal to execute field processing. The technical problems that the operation and maintenance efficiency is low and the power generation efficiency is limited due to the fact that operation and maintenance of an existing photovoltaic power station depend on manual inspection, the fault diagnosis period is long and the accuracy is poor are solved, multi-source fusion remote monitoring based on the cloud platform is achieved, real-time accurate diagnosis and quick response to faults of the photovoltaic power station are achieved, and the working efficiency of the photovoltaic power station is improved. And the operation and maintenance efficiency and the power generation benefit are improved.

The present invention relates to the technical field of mass spectrometry detection, and in particular to a mass spectrometry detection method and system based on tumors, comprising the following steps: obtaining ambient temperature data of a mass spectrometer during tumor detection, and performing monitoring and analysis based on the ambient temperature data to obtain an early warning coefficient; wherein the ambient temperature data includes real-time ambient temperature; based on the early warning coefficient, judging the detection work of the mass spectrometer to obtain a mass spectrometry detection risk signal, and then performing factor identification based on the mass spectrometry detection risk signal to obtain risk influencing factors; based on the risk influencing factors, generating corresponding feedback working signals; according to the environmental control working signal, obtaining a control coefficient, and controlling the current ambient temperature of the mass spectrometer; wherein the control coefficient includes an ambient temperature control rate; the mass spectrometry detection system of the present invention can perform early intervention processing on the mass spectrometer according to the generated early warning coefficient, so as to effectively ensure the accuracy of mass spectrometry detection.

This utility model discloses a rudder angle feedback device, including a support base. A bearing ring is fixedly embedded in one side of the support base. A rotating shaft is fixedly connected to the inner ring of the bearing ring. A resistor is fixedly installed at one end of the rotating shaft. A brush is disposed above the resistor. A fixing plate is fixedly connected to one side of the brush. A fixing screw is fixedly connected to the upper surface of the support base. The top end of the fixing screw passes through the fixing plate and extends above the fixing plate. A connector is fixedly installed at one end of the rotating shaft. A rudder shaft is disposed on one side of the connector. This invention relates to the field of rudder angle feedback. The fixing plate, through the stable installation of the fixing screw, ensures good contact between the brush and the resistor, avoiding signal fluctuations caused by poor contact. The connector facilitates convenient connection with the rudder shaft, making the device easy to install and maintain, and providing fast and efficient feedback of rudder angle information.

The invention is suitable for the technical field of grammar error correction, and provides a grammar error correction method based on English grammar, an intelligent pen, terminal equipment and a medium, and the method comprises the steps: firstly responding to a writing start instruction, obtaining writing content image information by using a camera, and then according to the writing content image information and an optical character recognition algorithm, obtaining a grammar error correction result; according to the method, writing text information is generated, grammar analysis result information is generated according to the writing text information and a natural language processing algorithm, error correction suggestion information is generated according to the grammar analysis result information after accommodation, and finally the error correction suggestion information is sent to a display screen to be displayed. According to the method, the English grammar errors in the handwritten text can be efficiently recognized, immediate feedback is provided, the use experience of a user is remarkably improved, the writing quality and the writing efficiency are both improved, the efficiency and convenience of English grammar learning and writing are greatly improved, and by combining the high convenience of the intelligent pen, the use experience of the user is improved. And better handwriting experience is created for the user.

The application provides a kind of smart textile with visual sensing and interactive function and its application, comprising: textile display screen formed by interweaving two different fibers, textile sensor and control chip; textile display screen is connected with textile sensor through control chip, information collected by textile sensor is transmitted to control chip, control chip transmits feedback signal to textile display screen by information processing and analysis, so as to display different graphic pattern information.The smart textile of the application has low manufacturing cost, short process and wide application range.

The utility model discloses a shock-proof device which comprises a seat post, the seat post is specifically of a hollow tubular structure, a main spring and an auxiliary spring are arranged in the seat post, and the main spring is arranged at the position, close to the bottom end of the seat post, below the auxiliary spring; the main spring is fixedly connected with the bottom of the seat rod, and an adjusting device is arranged below the main spring. The adjusting device is used for controlling the main spring to contract or stretch. According to the shock-absorbing device, the technical scheme that the main spring and the auxiliary spring with different force values are introduced is adopted, so that the shock-absorbing seat rod can be dynamically adjusted under different road conditions, and the optimal shock-absorbing effect is provided. Meanwhile, by optimizing the design of the seat adjusting device, a user can adjust the angle and the position of the seat cushion more conveniently, the design of a single bolt and a telescopic rod is adopted, the convenience of adjustment is improved, the risk of falling off is reduced, and meanwhile the attractiveness of the appearance is improved.

The invention discloses a novel trailer network control system and method for a centralized power train set. The trailer network control system comprises: a plurality of switch units, a plurality of integrated network node units, a monitoring terminal and a train-level host. The switch unit and the integrated network node unit are respectively arranged in each trailer and a dining and seating combined vehicle. The subsystem network data of the carriage where the carriage is located is received and summarized by the integrated network node unit, and the subsystem network data is hierarchically transmitted to the switch unit according to preset conditions. The monitoring terminal is arranged in the dining and seating combined vehicle, and receives and summarizes the subsystem network data through the switch unit. The train-level host is arranged in the dining and seating combined vehicle, and the train-level host receives the summarized subsystem network data output by the monitoring terminal to complete the train-level communication. The invention improves the transmission rate of data transmission, makes data transmission more scientific and effective, and makes the trailer network realize redundancy when the equipment is not redundant, so that the network control is more reliable and safe.

The invention relates to the technical field of data analysis, and particularly discloses a development data analysis method based on a low-code platform, which comprises the following steps: S1, calculating a development value according to development data, obtaining a first sequence, and obtaining a standard development value based on the first sequence; s2, calculating the number of people to be determined of the sub-demand, and calculating the difference value of the number of people; calculating the theoretical time of the sub-demand, increasing the number of people to be determined of the sub-demand corresponding to the maximum theoretical time according to the number of people difference, and generating a theoretical time set; s3, adjusting the number of people to be determined according to the maximum time and the minimum time, obtaining a new theoretical time set, and repeating the steps until the maximum time of the theoretical time set meets the requirement; and obtaining the number of target personnel of the sub-demand. The development cycle can be effectively shortened, and project delay is avoided.

The present invention discloses an intercom system for a signal-free area. The present invention performs weighted calculation on the interference index, occupancy index and compatibility index of each frequency band to obtain the abnormal performance index of each frequency band at the time point of triggering a spectrum monitoring signal, selects the frequency band with a smaller abnormal performance index as the target frequency band, performs frequency adjustment according to the selected target frequency band, sends a frequency band switching signal to a signal acquisition module and a receiving module, comprehensively considers the interference index, occupancy index and compatibility index to evaluate the pros and cons of each frequency band, can select a frequency band that is more suitable for current communication needs, improves the reliability and efficiency of communication, and solves the problem in the prior art that the frequency band selection is not smart enough and the interference, occupancy and receiving sensitivity factors cannot be comprehensively considered, resulting in a high probability of selecting an unsuitable frequency band during selection, thereby affecting the communication quality.

The embodiment of the present application provides a data storage method and system for a cloud service platform. First, labeled and unlabeled cloud service operation data sequences are extracted, and a candidate error estimation network is generated using the labeled data to estimate the network error on the unlabeled data. Through this error parameter, samples are extracted from the unlabeled data for training label configuration, and the labeled data set is expanded. Then, the candidate network and the crash prediction network are cyclically optimized based on the extended data set to generate a target prediction network. Finally, this network is used to predict the crash of any cloud service data, and the critical path data is stored traceably. This method not only improves the accuracy of cloud service crash prediction, but also provides strong data support for cloud service optimization and troubleshooting through the storage of critical path data, thereby enhancing the stability and reliability of cloud services.

The utility model provides a kind of gas-liquid two-phase self-circulation temperature control system, including booster unit, temperature compensation unit, pressure and temperature monitoring unit, the temperature compensation unit is connected with the export pipeline of space environment medium carrier, the booster unit uses wide temperature range high pressure fan, the rear end pipeline of the booster unit is equipped with medium compensation unit, the parallel pipeline of the medium compensation unit is equipped with electric heater, the output of the medium compensation unit is connected the import pipeline of space environment medium carrier;The front end of the booster unit is equipped with temperature compensation unit, the front end of the temperature compensation unit is equipped with pressure and temperature monitoring unit.It solves the technical problem that the existing temperature control system needs to first rise and fall temperature to the medium before pressure boosting, resulting in energy loss and complex pipeline layout, low space utilization, higher equipment investment cost.The utility model can be widely applied in temperature control system.

The present invention belongs to the field of probe testing technology, and specifically is an operation performance testing system suitable for a high-precision sensor temperature measuring probe, comprising an accuracy testing module, a repeatability testing module, a variable temperature response testing module, a stability testing module, an operation performance comprehensive evaluation module and a display terminal; the present invention accurately determines the temperature measurement accuracy of the temperature measuring probe through the accuracy testing module, analyzes the repeatability performance of the temperature measuring probe at various temperature points through the repeatability testing module when generating a high-precision temperature measurement signal, reasonably feeds back the variable temperature response efficiency of the temperature measuring probe through the variable temperature response testing module when generating a repeatability qualified signal, and tests and analyzes the temperature measurement stability of the temperature measuring probe under long-term operation through the stability testing module when generating a normal variable temperature response signal, and can comprehensively, efficiently and accurately feed back the operation performance of the high-precision sensor temperature measuring probe, with a high level of automation and intelligence.

This invention discloses an immediate reward learning method based on self-supervised reinforcement learning, belonging to the field of artificial intelligence reinforcement learning technology. First, the invention calculates a first prediction error between the agent's predicted state and the actual state. Second, it reconstructs action data using an inverse dynamics model and calculates a second prediction error. Then, it constructs a causal confidence factor based on the second prediction error to generate an effective prediction error. Next, it generates a fast-channel reward and calculates the volatility of the reward signal using an oscillation index. Finally, it generates the final immediate reward. By integrating a multi-layered mechanism of prediction error correction, causal relationship modeling, reward stability assessment, and policy stochastic adjustment, the stability and reliability of the reward signal can be effectively enhanced, noise interference reduced, and training oscillations avoided. Simultaneously, it significantly improves the quality of immediate reward generation in sparse reward environments, accelerates policy convergence, and enhances the efficiency and stability of self-supervised reinforcement learning in complex tasks.

A calcination method and an intermittent kiln belong to the field of inorganic non-metallic material processing. The calcination method includes: obtaining a first reference condition; calcining the processing object, and during the calcination process, continuously collecting and correspondingly obtaining a first working condition; and controlling the calcination condition according to the trigger condition. The scheme can shorten the analysis cycle of the calcination process and improve the analysis quality.

The application provides a steel enterprise product adjustment effect evaluation system, method, equipment and medium, and relates to the technical field of data processing, and comprises the following steps: a data preprocessing module is used for preprocessing original transaction data corresponding to an evaluated object to obtain target transaction data, wherein the original transaction data comprises steel order data and steel gross profit data corresponding to a plurality of steel products sold by the evaluated object; a product adjustment effect evaluation module is used for constructing a product adjustment evaluation matrix corresponding to the evaluated object based on initial index values corresponding to multidimensional index items, so as to determine a product adjustment evaluation index corresponding to the evaluated object, and elements of the product adjustment evaluation matrix are used to describe target index values of the evaluated object relative to the multidimensional index items; and an evaluation visualization module is used for visualizing the product adjustment evaluation index. The application can more comprehensively and objectively quantify the product adjustment effect, thereby providing effective feedback and guidance for product adjustment decision-making.