59results about How to "Accurate correction" patented technology

The invention discloses a wide-working-condition steam turbine system operation data correction method based on digital twinning, and relates to the technical field of steam turbine equipment digitalization, and the method comprises the steps: collecting operation data of a wide-working-condition steam turbine system in real time; constructing a digital twinborn model of the steam turbine system; performing prior covariance estimation on the operation data according to the statistical distribution condition and the design parameters; generating a Sigma point by adopting an unscented Kalman filtering algorithm, iteratively updating a state vector and a covariance in combination with a state transition equation and an observation equation, and outputting an updated known variable; performing smoothing processing on the updated known variable in a plurality of time point regions by adopting an RLOESS algorithm to obtain corrected operation data; according to the method, the real dynamic characteristics of the wide-working-condition steam turbine are approached by building the digital twinborn model, the calculation complexity of dynamic data fusion of a steam turbine system can be remarkably reduced, and the problems that the convergence speed is low and calculation is complex due to strong nonlinearity of a traditional method are solved.

The invention discloses a multi-source collaborative dynamic time sequence TCP prediction method and system, a medium and a program product, and the method comprises the steps: collecting multi-source heterogeneous data, including DVH data, CT data, CPP data and longitudinal follow-up data of a plurality of time nodes, of a patient in a whole radiotherapy period; performing hierarchical preprocessing and data format unification on the multi-source heterogeneous data; constructing a dynamic time sequence feature fusion matrix containing a time dependency relationship; constructing a deep learning model integrating a time sequence processing unit and a cross-modal fusion unit, wherein the model supports an incremental learning iteration updating mechanism; using the model to output TCP prediction results of a new patient at different time nodes; and if the new patient is a special case, calling the clinical rule adaptation model, and correcting the TCP prediction result by adopting a mixed correction strategy combining rule matching and doctor experience weight. According to the method, multi-source heterogeneous data can be deeply fused, time dynamic association is captured, modal feature contribution degree is quantified, continuous iterative updating is supported, and individual differences are adapted.

The invention discloses an operator position monitoring method, device and equipment and a medium, and the method comprises the steps: binding pre-obtained target operator information with corresponding business data, and generating a safety constraint of a target operator according to the business data; acquiring multi-source positioning data of the target operator in real time through a positioning terminal worn by the target operator, and inputting the multi-source positioning data into a preset neural network, so that the neural network performs data fusion on the multi-source positioning data to generate a correction position of the target operator; and through a preset reinforcement learning algorithm, according to the correction position and the security constraint, generating an optimal security path, and according to the optimal security path, carrying out monitoring and risk assessment on the current correction position of the target operator. According to the invention, the real-time performance and accuracy of the position monitoring of the operating personnel can be improved.

The application provides an elevator health degree evaluation system, relates to the technical field of elevator health degree evaluation, and can reflect the complex interaction between elevators in the actual running environment by constructing the vibration data of key nodes and the mapping relationship between the vibration data and the working condition data of each elevator in the elevator group; the health conditions of each key component of the elevator are accurately reflected by combining the corrected data with multi-index weighted scoring, and the comprehensive health evaluation of the whole elevator group is further realized by designing the redundancy principle. By combining the vibration data collected by the load test and the machine learning technology, the application quantifies and eliminates the interference of the adjacent elevator on the vibration of the elevator to be evaluated, corrects the vibration signal, effectively avoids the misjudgment caused by the interference of the adjacent elevator, improves the accuracy and stability of the elevator health degree evaluation, supports the dynamic monitoring and early warning of the elevator group under different running states, and improves the running safety guarantee capability and maintenance management efficiency of the elevator group.

The invention relates to the technical field of electronic information, and discloses a reference following anti-interference bidirectional current sampling method and system, and the method comprises the steps: carrying out the driving characteristic enhancement processing of a reference voltage signal, and obtaining an enhanced reference voltage signal; performing common-mode interference suppression processing on the original differential voltage signal to obtain a net differential voltage signal; performing linear amplitude adjustment on the net differential voltage signal to obtain an amplified voltage signal; mapping the amplified voltage signal into a unipolar voltage range by taking the strengthened reference voltage signal as a reference zero point to obtain a unipolar voltage signal; performing correlation coupling on the long-term characteristics and the short-term characteristics to obtain correction parameters, and performing signal reconstruction on the unipolar voltage signals based on the correction parameters to obtain optimized unipolar voltage signals; performing synchronous decoding on the optimized unipolar voltage signal based on the enhanced reference voltage signal to obtain an instantaneous current value and a flowing direction; according to the invention, the precision of bidirectional current sampling can be improved.

This invention discloses an installation and construction method for a lattice-type frame structure of a 750kV substation, belonging to the field of substation civil construction technology. The method includes: assembling the frame columns on the ground with the ladder-like structure as the bottom surface to prevent misalignment; using a dual-crane system to flip the entire frame so that the ladder-like surface faces upwards; lifting using a main and auxiliary crane lifting method, with the main crane supporting multiple lifting points via a specially designed spreader beam for load-bearing distribution; after vertical lifting, the main crane guides the frame into the foundation socket, and fine-tunes the positioning using mechanical jacking tools and a three-dimensional orthogonal measurement and control system; finally, multi-stage grouting and anchoring are performed. This invention significantly reduces the risk of deformation during the lifting of ultra-large frames, eliminates the safety hazards of installing ladder bolts at heights, improves the accuracy of positioning and correction, and enhances construction efficiency. It is suitable for the safe and efficient assembly of various heavy-duty lattice frames.

The invention provides a multi-agent reward function automatic generation and optimization method and system, and relates to the technical field of artificial intelligence and reinforcement learning. According to the method, state description information of an environment is extracted through an environment context construction module, and then a plurality of reward function candidates are evaluated at the same time through a parallelized reward function evaluation module by utilizing a reward function code generated by a large language model; afterwards, statistical information in the training process is converted into structured natural language feedback through a reflection report generation module, so that the large language model can understand the training dynamics and improve the reward function in a targeted manner, and then context-based directional rewriting of the reward function is realized; and finally, through an iterative optimization process, generating a reward function which not only conforms to a task target but also has good training characteristics. According to the method, the code generation capability of the large language model is combined with the reinforcement learning training process, so that automatic generation and iterative optimization of the reward function are realized.

The application discloses a carbon emission data monitoring method and device and a computer program product, relates to the technical field of data monitoring, and comprises the following steps: collecting metering data through a pre-deployed carbon monitoring terminal, and acquiring artificial supplementary data uploaded by a user through a structured input interface; calculating theoretical carbon emission based on the metering data and the artificial supplementary data; cross-checking the theoretical carbon emission and pre-acquired actual carbon emission to identify carbon data anomalies; labeling abnormal equipment corresponding to the carbon data anomalies in a pre-constructed three-dimensional digital twin power plant model, and correcting data of the abnormal equipment. Through cross-checking, data correction is realized by relying on the three-dimensional digital twin power plant model, thereby realizing accurate monitoring and correction of carbon emission data.

This invention discloses a design method for composite material shells of deep-sea pressure-resistant devices and its application. The design method selects four key parameters: initial out-of-roundness amplitude, wall thickness deviation coefficient, hybrid fiber ratio, and difference in elastic modulus between inner and outer fibers. Combining nonlinear finite element analysis and response surface regression techniques, a quantitative prediction model of nonlinear buckling load with respect to the above parameters is established. Based on this, the buckling resistance advantages and performance-cost marginal benefit relationship of hybrid ply configuration are systematically explained from the two dimensions of structural mechanics mechanism and engineering economy.

The invention belongs to the technical field of medical equipment, and provides a quality control method for an image shot by radiation imaging equipment and computer equipment, which can obtain position data of a shot part of a shot object in two dimensions, and obtain quantitative motion information of the shot part in the two dimensions according to the position data in the two dimensions. And the motion state of the shooting part of the shooting object is displayed to the user through the display interface, whether the shooting part of the shooting object moves is prompted to the user, and the user (an operation technician) is helped to accurately correct the shooting position of the shooting object, so that convenience is brought to the shooting work of the operation technician, and the shooting efficiency is improved.

The utility model discloses a side wall firer trolley for a ship, which comprises a firer work module, a main body plate, a tool integral lifting and rotating module and a trolley traveling mechanism module, the firer work module is connected with the main body plate in a sliding manner, and the main body plate is arranged on the tool integral lifting and rotating module. The tool overall lifting and rotating module is arranged on the trolley walking mechanism module. According to the utility model, the firework coverage range is more comprehensive, the firework efficiency is improved, the quality and the stability of the correction effect are improved, operation can be carried out in a narrow space in a cabin, large-range continuous operation is realized, the requirements on skills and experiences of operators are reduced, the labor cost is reduced, the time for directly contacting flames by workers is shortened, and the working efficiency is improved. And the labor intensity and the safety risk are effectively reduced.

The invention discloses a voltage influence error suppression method, an electric energy meter and a storage medium. The method is applied to the electric energy meter and comprises the following steps: respectively adjusting the structure and parameters of a transformer, the structure and parameters of a manganese-copper diverter and the parameters of a metering chip; and the error variation of the electric energy meter is compensated and calibrated through the control module. From the aspect of hardware, the structure and parameters of the transformer are adjusted for an interference source, and the influence on other devices is reduced; aiming at an interfered device, the structure and parameters of the manganese-copper shunt are adjusted, so that the influence on the interfered device is reduced; parameters of the metering chip are adjusted, and relative interference is reduced. From the perspective of software, the actual error of the electric energy meter is compensated, and the voltage influence is further suppressed. By means of the method, the influence on the voltage is restrained from multiple aspects, the error change amount is stably controlled within 1% from the original standard limit value, the national standard is greatly exceeded, and the higher internal control index of an enterprise is met.

The application relates to the technical field of new energy automobile air conditioners, and discloses a new energy automobile air conditioner compressor variable frequency speed regulation and energy efficiency optimization integrated system, which comprises a data sensing module, a strategy generation module, a parameter regulation module, an energy efficiency evaluation module and a system correction module. The data sensing module is used for determining the stability of a compressor operation state based on a speed fluctuation amount; the strategy generation module is used for determining a speed regulation control strategy and determining the correlation between speed and power based on the stability; the parameter regulation module is used for determining an energy efficiency optimization value judgment mode according to a power consumption rate based on the speed regulation strategy, and determining the compliance according to a response delay amount; the energy efficiency evaluation module is used for determining the compliance of speed and power according to an energy efficiency conversion ratio based on the speed regulation strategy; and the system correction module is used for correcting when the energy efficiency optimization value or the speed and power are not compliant. The system realizes the optimization of compressor variable frequency speed regulation and energy efficiency, improves the operation stability, the refrigeration demand matching degree and the energy efficiency level, reduces energy consumption, and plays an important role in prolonging the cruising range of new energy automobiles.

This invention relates to the field of aluminum-based composite copper foil production technology, specifically to a tension control method for producing aluminum-based composite copper foil, comprising: a tension unwinding roller, a tension winding roller, and a high-vacuum winding coating equipment body, wherein both the tension unwinding roller and the tension winding roller are internally rotatably connected to the high-vacuum winding coating equipment body. This invention, by setting up components such as a tension control mechanism, and through torque adjustment between the drive source and the reducer, as well as signal feedback connection between the tension sensor and the controller, enables the tension sensor to detect the running tension of the tension unwinding roller and the tension winding roller in real time, and the controller to control the output state of the drive source. This achieves the ability of the device to automatically match closed-loop or open-loop tension control modes according to material specifications, realizing compatible control of precise adjustment at low tension and stable output at high tension, significantly improving the adaptability and efficiency of aluminum-based composite copper foil production.

The application discloses an intelligent diagnosis auxiliary system based on a medical knowledge graph and belongs to the medical diagnosis field. In order to solve the problem that a traditional medical diagnosis system is difficult to integrate information, a large amount of medical information is wasted, effective auxiliary diagnosis cannot be performed, the diagnosis efficiency is low, effective intelligent triage prediction cannot be performed, the patients are easily caused to have a burden of diagnosis, the hospital is easily caused to have a burden of operation, the work efficiency is low, corresponding diagnosis results cannot be given in time and quickly, and the diagnosis accuracy is influenced. The existing medical data island problem is overcome, the intelligent auxiliary diagnosis of common diseases is realized, the diagnosis efficiency is improved, the doctors are provided with high-credibility auxiliary diagnosis, the intelligent triage prediction is realized, the probability of wrong triage is reduced, the patients are provided with efficient and convenient pre-diagnosis consultation, the burden of the patients and the operation load of the hospital are reduced, the diagnosis accuracy of the diagnosis auxiliary system for comprehensive data analysis of patient information is gradually improved through human error correction.

The invention discloses a correction method and system of a rock gas permeability tester, and relates to the technical field of tester error correction and intelligent calculation, and the correction method comprises the following steps: obtaining measurement data of a rock sample, preprocessing, executing division and splicing operation, generating a measurement vector, and performing population initialization; quantization and binding operations are executed, and a fitness function is defined; a fitness function value is calculated, a sorting list is generated, Levy flight is used for position iteration-updating, a search space boundary is set, constraint adjustment of the position is executed in combination with the iteration-updating position, and a detection position is obtained; on the basis of the detection position, the corresponding data is intercepted to correct the measurement data, the obtained corrected data is stored, the rock gas permeability measurement data can be efficiently and accurately corrected, and the accuracy and stability of the measurement result are greatly improved.

The present application relates to the technical field of geophysical ground stress correction, in particular to a shale reservoir plastic method ground stress correction method based on anisotropy. The present application firstly acquires modal components of fast shear wave signals and slow shear wave signals; further, in each signal, according to the shape similarity between different wave crests in the frequency domain of each modal component, and combining the frequency domain difference between different modal components, an interference factor is acquired; further, the modal components are weighted and reconstructed based on the interference factor and band-pass filtered; further, the cross-correlation method is used to accurately extract the arrival time of fast and slow shear waves to calculate anisotropy parameters; finally, based on lithology data and anisotropy parameters, a ground stress calculation model is corrected, and the corrected minimum horizontal principal stress value is obtained, effectively solving the stress calculation deviation problem caused by anisotropy in complex strata, and providing a reliable basis for accurate drilling trajectory design, optimized fracturing parameters and efficient reservoir development.

The purpose of the present invention is to more accurately correct blur in a radiographic image even if there is no actual measurement of blur for each imaging system. An image processing method includes: an acquisition step (S01) for acquiring a radiation image obtained by imaging by an imaging system that performs imaging by radiation, and information for reasoning; the information for reasoning is at least any kind of information related to the position of the photographed object in the photographing direction, information related to a radiation source included in the photographing system, and information related to a radiation detector included in the photographing system; and a correction step (S02) in which information based on the acquired radiation image and the information for reasoning is inputted to a reasoning model generated by training of machine learning, and blur of the radiation image is corrected.

The invention provides a power industry seven-level address standard library construction method and system, and the method comprises the steps: integrating the first five levels of address data based on a priority comparison model; preliminary construction of the first seven levels of standard address libraries is carried out; and the multi-source mutual identification type standard seven-level address base is perfect. According to the method, the technical problems of data source limitation, level missing and relatively poor data quality of the address data in the power industry are solved.

This invention discloses a method, apparatus, and electronic device for permeability correction of sandstone and conglomerate. The method includes: obtaining the target porosity and target logging value of the target sandstone and conglomerate; determining the target flow element index and target clay content of the target sandstone and conglomerate based on the target logging value; determining the initial permeability of the target sandstone and conglomerate based on the target porosity and target flow element index; and correcting the initial permeability based on the target porosity and target clay content to obtain the target permeability of the target sandstone and conglomerate. This invention solves the technical problem in related technologies where the accuracy of the permeability obtained when determining the permeability of sandstone and conglomerate is low, and the permeability differs significantly from the actual permeability.

The application relates to the technical field of unmanned aerial vehicle electromagnetic detection, and discloses an electromagnetic map data fusion method for unmanned aerial vehicle low-altitude spectrum mapping, which comprises the following steps: correcting channel loss of low-altitude electromagnetic spectrum map data based on a low-altitude channel model to obtain corrected low-altitude electromagnetic spectrum map data; performing vectorization processing on the corrected low-altitude electromagnetic spectrum map data to obtain corrected low-altitude electromagnetic spectrum map vector data; and constructing a spectrum energy distribution fusion model according to fusion spectrum map data and the corrected low-altitude electromagnetic spectrum map vector data; wherein the fusion spectrum map data is obtained based on the corrected low-altitude electromagnetic spectrum map data; and inputting the fusion spectrum map data into the spectrum energy distribution fusion model for model training to obtain target fusion spectrum map data. The method can improve the accuracy and reliability of the fusion spectrum map data. The application further discloses an electromagnetic map data fusion device for unmanned aerial vehicle low-altitude spectrum mapping and a detection equipment.

This invention relates to the field of fleet driving management technology, specifically to a remote operation and maintenance management platform for safe driving of intelligent fleets. The platform includes: a line graph construction unit for collecting driving data and GPS data for each vehicle, and obtaining driving line graphs and GPS line graphs respectively; a target vehicle acquisition unit for obtaining a first feature value sequence and a second feature value sequence based on the driving line graph and GPS line graph of a vehicle, and obtaining a difference feature value sequence to determine whether the vehicle is a target vehicle; a target time determination unit for obtaining the time to be corrected for the target vehicle, and determining whether the time to be corrected is the target time; and a correction unit for classifying the target time according to the distribution characteristics of the target time of a vehicle, and correcting the GPS data of the target time according to the classification results. This application can correct GPS data during the driving process of fleet vehicles.

The application relates to a fine path loss prediction method of a bimodal network correction, and belongs to the technical field of wireless communication.The method is used for solving the problem that an existing method cannot balance the complexity and accuracy of path loss prediction, the method gives a statistical prediction value by using a path loss empirical model, completes common characterization of path loss, then a bimodal network is used to learn specific propagation characteristics of a communication environment from two modes of vision and features, a correction value of the path loss empirical model is obtained, and specific description of path loss at different positions is completed.The application is applied to the field of wireless communication, combines artificial intelligence and statistical methods, and can realize fine modeling of path loss.

This invention discloses a collaborative sensing method for multimodal data in the Internet of Things (IoT) based on edge computing, relating to the field of IoT sensing technology. The method includes: collecting raw multimodal data packets and performing preprocessing on edge computing nodes to generate standardized multimodal data sequences; constructing session packets processed by the edge computing nodes using a session management protocol; parsing semantic fields from the session packets to establish a semantic feature set; initializing a multimodal semantic session state machine based on the semantic feature set to generate an initial session control strategy; and statistically analyzing modal conflict events and session quality changes based on the semantic feature set and the initial session control strategy, driving the multimodal semantic session state machine to self-evolve and adjust, and generating an updated session control strategy. This invention introduces a counterfactual scenario consistency verification mechanism in the edge computing environment, transforming the handling of multimodal semantic conflicts from static adjudication into a verifiable semantic reasoning process.

This invention discloses a method and apparatus for attenuation correction of dynamically acquired PET cardiac images, relating to the field of biomedical signal processing. The method includes: simultaneously acquiring cardiac and respiratory signals and PET data; preprocessing the data to divide a joint phase interval; segmenting the heart, lung, and chest wall regions; constructing a dynamic attenuation baseline sequence; and optimizing the attenuation coefficient map by incorporating tracer metabolic kinetics characteristics; achieving attenuation compensation through phase matching and projection correction; reconstructing PET images of each phase and fusing them to generate a dynamic sequence; and judging the quality of the results through evaluation indicators, iteratively adjusting model parameters if the results do not meet the standards. The advantages of this invention are: avoiding artifacts by dividing the joint phase interval through simultaneous acquisition of motion signals; optimizing attenuation correction by incorporating tracer metabolic characteristics; and combining this with an evaluation iteration mechanism, thus efficiently improving the accuracy and quality of PET cardiac image correction.

The invention relates to the technical field of data processing, and discloses a highway ETC portal abnormal data identification and error correction method and system, and the method comprises the steps: formatting an arranged data stream, and obtaining a standardized data sequence of an ETC portal; analyzing a historical traffic flow mode of the ETC door frame, and identifying an abnormal record of the standardized data sequence; screening coherent passing records of the abnormal records, and performing dimension alignment on the abnormal records and the coherent passing records to obtain a time-space association data set of the ETC portal; calculating compensation values of missing and error timestamps in the abnormal record, and mapping the compensation values to the abnormal record to obtain a corrected passing record of the ETC portal; performing collaborative reconstruction on the corrected passing records and passing records which are not identified as abnormal in the ETC portal frame to obtain final error correction data of the ETC portal frame; target abnormal data in the ETC portal frame can be identified and corrected; according to the invention, the efficiency of abnormal data identification and error correction of the highway ETC door frame can be improved.

The application relates to the technical field of integrated circuits, in particular to a duty cycle adjustment circuit capable of keeping the rising edge fixed delay. The duty cycle adjustment circuit comprises a first delay line module, a second delay line module, a logic operation unit, a first or logic operation unit and a multiplexer. The first input end and the second input end of the first delay line module are connected with a first delay control signal and an external input clock signal respectively, and the output of the first delay line module is a first delay clock signal. The first input end and the second input end of the second delay line module are connected with a second delay control signal and the external input clock signal respectively, and the output of the second delay line module is a second delay clock signal. The first input end and the second input end of the logic operation unit are connected with the first delay clock signal and the second delay clock signal respectively, and the output end of the logic operation unit is a clock and signal. The first input end and the second input end of the first or logic operation unit are connected with the first delay clock signal and the second delay clock signal respectively, and the output end of the first or logic operation unit is a clock or signal. The first input end and the second input end of the multiplexer are connected with the clock and signal and the clock or signal respectively, and the multiplexer is used for controlling the output of the clock and signal or the clock or signal according to a symbol bit signal. The application can accurately correct the duty cycle.

The application discloses a kind of power plant boiler operation oxygen amount online correction method and device, multiple existing oxygen sensors are arranged and arranged on rotating frame structure and end is equipped with oxygen sensor mounting seat, rotating frame structure is driven to rotate by servo motor, to complete the radial switching action of multiple oxygen sensors, the axial disengagement action of oxygen sensor and the main flange interface of flue outer wall is by the telescopic movement of electric push rod in axial direction, driving switching rod pulls oxygen sensor mounting seat to complete.The application aims at the abnormal alarm condition of oxygen sensor at single position in power plant boiler operation oxygen amount online monitoring system, and power plant operation center remote control power plant boiler operation oxygen amount online correction device can realize the axial plug and radial switching action of oxygen sensor, improve the detection quality of power plant boiler operation oxygen amount online monitoring system, and it is beneficial to power plant operation center to complete accurate correction of operation oxygen amount in time.

The present application provides a slope calculation method, device, storage medium and electronic equipment, which can collect static data of a vehicle in a static working condition, and calculate a mounting posture rotation matrix, a first rotation angle and a second rotation angle of a vehicle control unit; collect dynamic data of the vehicle in a dynamic driving working condition, and calculate a third rotation angle; and correct real-time acceleration data and real-time angular velocity data collected by a six-axis gyroscope according to the first rotation angle, the second rotation angle and the third rotation angle, and calculate a corresponding slope value. The present application can correct the gyroscope data based on coordinate changes, and can correct the gyroscope data based on static data and dynamic data, so that even if the mounting position of the vehicle control unit is not completely determined or the mounting position of the vehicle control unit changes after vehicle maintenance, the gyroscope data can still be accurately corrected, and the accuracy and applicability of slope calculation are ensured.

The utility model relates to a power tower foundation structure, concretely relates to a power tower foundation correction stable structure, including power tower foot, base and concrete pouring body, power tower foot is fixed on the base, and the concrete pouring body is located above the base and is located at the outer periphery of power tower foot, and the power tower foot includes structure pad iron, support seat, mounting bracket and fixed frame, and the structure pad iron is located between support seat and base, and the mounting bracket and fixed frame are integrally formed with support seat, and the power tower bottom is equipped with the support rod, and the lower extreme of support rod is fixed on the mounting bracket through a plurality of bolts, and a plurality of mounting holes are equipped on the support seat, and the mounting hole is equipped with the nut, the wire and the threaded column, the power tower foundation correction stable structure of the utility model can realize the accurate adjustment and correction to the power tower foot, and the stability of the power tower foundation is improved.