237results about How to "Reduce bias" patented technology

The application relates to a windshield and a vehicle, the windshield comprising: an optical sensor mounted in the interior of the vehicle; a laminated glass having an optical window in the field of view of the optical sensor, the laminated glass comprising an outer layer glass, a bonding layer and an inner layer glass arranged in a stack, the inner layer glass being provided with a first through hole; wherein the optical window is located in the first through hole, and the MTF value of the optical window is greater than or equal to 0.3. The windshield can make the MTF value of the optical window of the laminated glass greater than or equal to 0.3, make the optical sensor obtain clearer environmental image data, reduce the probability of causing deviation to the algorithm of the ADAS system of the vehicle, and meet the demand of L3 or above level automatic driving.

The application discloses a coal mine goaf surface deformation information sensing system and a whole-process monitoring method, and aims to solve the technical problem that the existing coal mine goaf deformation monitoring cannot accurately evaluate and early warn future subsidence. The application obtains missing subsidence data in the medium-term empty window stage through inversion, and obtains corrected subsidence which can reflect the real stratum subsidence condition through subsidence coefficient correction, key layer correction, process correction and mining depth correction on the basic subsidence, so as to provide a reliable data basis for the calculation of future subsidence, and effectively reduce the deviation between the calculated future subsidence and the actual subsidence. And the total subsidence is corrected based on the deviation between the predicted future subsidence and the actual subsidence, so that the reliability of the total subsidence can be further adjusted, the future subsidence deviation caused by the total subsidence deviation is reduced, and the practicability of the predicted future subsidence is improved.

A mechanical high-strain guide hammering system comprises a vertical guide frame and a heavy hammer, the vertical guide frame is of a rectangular frame structure with an opening in the lower end, a hydraulic winch is fixedly mounted at the upper end of the vertical guide frame, a lifting seat is slidably mounted in the vertical guide frame, and the hydraulic winch is connected with the lifting seat through a steel cable; the lower surface of the lifting seat is connected with a hydraulic unhooking hook; a lifting point is arranged on the upper surface of the heavy hammer, the heavy hammer is connected with the hydraulic unhooking hook through the lifting point, the hydraulic unhooking hook achieves releasing and locking of the heavy hammer through a control oil way, and the heavy hammer moves up and down along an inner cavity of the vertical guide frame. A hinge seat is arranged on the side face of the vertical guide frame body, and the vertical guide frame body is connected with a mechanical arm of the excavator through the hinge seat. According to the utility model, the defects in the prior art are overcome, the accurate positioning of the heavy hammer in the hammering process can be effectively ensured, the heavy hammer is suitable for different detection environments, the risk of manual intervention is greatly reduced, and the working efficiency and the safety are improved.

The invention provides an integrated temperature control fiber-optic gyroscope chip, method and system. The fiber-optic gyroscope chip integrated with temperature control comprises a signal transceiving unit, a gyroscope modulation unit, an optical signal processing unit, an optical fiber coil interface unit and an on-chip temperature-sensitive micro-ring resonant cavity, and the signal transceiving unit is used for forming an optical signal according to a light source; the on-chip temperature-sensitive micro-ring resonant cavity is used for forming a first transmission spectrum according to the optical signal; the gyro modulation unit is used for generating a modulation electric field in response to the modulation driving signal so as to perform phase modulation on the optical signal; the optical signal processing unit is used for performing polarization and beam splitting on the modulated optical signal to form a first path of optical signal and a second path of optical signal; and the optical fiber coil interface unit is used for transmitting the first path of optical signal and the second path of optical signal to a polarization maintaining optical fiber coil to form a gyroscope interference optical signal and outputting the gyroscope interference optical signal, so that a gyroscope detector obtains a compensated gyroscope output result according to the gyroscope interference optical signal.

This invention relates to the field of primary heating network technology, specifically disclosing a centralized heating primary heating network energy supply balance operation regulation monitoring and control system. The system includes a user area estimated heat demand analysis module, a user area comprehensive heat demand analysis module, an energy station heat distribution module, an energy station heat transmission detection module, an energy station transmission quality assessment module, a display terminal, a protection terminal, and a cloud database. This invention ensures the accuracy and precision of the actual heat supply analysis for user areas, thereby improving the heating efficiency and effect of energy stations. It safeguards the revenue of energy stations on one hand and ensures normal use on the user side on the other. This invention alleviates the pressure on energy stations while meeting the heating needs of users, thereby improving the relative balance of energy stations, reducing the deviation between heat supply and heat demand to a certain extent, and improving the efficiency of centralized energy supply.

This invention relates to the field of photovoltaic energy storage collaborative control technology, specifically to a photovoltaic energy storage collaborative optimization charge-discharge control system. It includes: a multi-source data acquisition unit; a power prediction unit; a collaborative optimization scheduling unit that generates a global operating benchmark for the energy storage system based on the power prediction sequence and system operating constraints, and obtains real-time execution deviation characteristics of the energy storage system; and a charge-discharge execution control unit. This invention relies on a real-time deviation perception module to extract multiple types of operating parameters to construct a comprehensive execution deviation coefficient. A dynamic optimization correction module uses the global operating benchmark as a constraint, combines the comprehensive execution deviation coefficient to tailor the optimization action space, and dynamically corrects the power solution, reducing the deviation between scheduling commands and equipment operating boundaries. The system adopts a joint optimization objective of maximizing photovoltaic absorption rate and minimizing the total life-cycle cost of energy storage. Simultaneously, a penalty term based on the comprehensive execution deviation coefficient is added to the objective function to simultaneously balance photovoltaic absorption benefits and energy storage losses.

This application belongs to the field of semiconductor processing technology, specifically relating to a backlight reflective layer printing device and its application. This application effectively controls the vibration generated during the printing process by optimizing the mechanical structure and position design of the frame, support plate device, and multi-axis spindle, reducing the deviation between the actual operating path and the planned path of the piezoelectric jet valve. This significantly improves the stability of the piezoelectric jet valve operation and the printing accuracy. Furthermore, this application, by setting up a micro-adjustment device, a positioning system, an inkjet calibration system, and a needle alignment device, and utilizing their coordinated relationship, can precisely correct printing parameters such as the jetting position or jetting volume of the piezoelectric jet valve. Therefore, based on the aforementioned stable printer body structure, the coating quality of the backlight reflective layer obtained by piezoelectric jet printing will be further improved. Thus, the backlight reflective layer prepared using this invention has better thickness uniformity and a better reflective effect.

The utility model discloses a feeding device for sensor assembly. The feeding device comprises a bottom frame, a vertical plate and a movable base. A mounting cylinder is arranged at the top of the bottom frame, an O-shaped ring vibration disc is arranged in the mounting cylinder, a material supplementing frame is arranged on one side of the O-shaped ring vibration disc, and a channel is formed between the material supplementing frame and the O-shaped ring vibration disc; the feeding mechanism is driven to quickly move in the horizontal direction and the vertical direction through cooperative work of a plurality of air cylinders, so that O-shaped rings are quickly grabbed and transferred by the negative pressure suction device, and the feeding time is greatly shortened; o-shaped rings are automatically and orderly arranged through the O-shaped ring vibration disc, the O-shaped rings are supplemented in time in cooperation with the material supplementing frame, and continuous supply of the O-shaped rings is guaranteed; the feeding precision is improved through positioning formed by a positioning seat, a positioning block, a telescopic rod and a spring; the feeding process is monitored in real time through the scanner, problems are found and fed back and adjusted in time, and the operation reliability of the whole feeding device is further improved.

This utility model provides a multi-angle adjustable metal drilling machine clamping device, belonging to the field of drilling machine technology. It includes a support assembly comprising a bracket, a support plate fixedly connected to the end of the bracket, a support seat fixedly connected to the end of the support plate, and a turntable rotatably mounted on the side wall of the support seat. The clamping assembly includes a base fixedly connected to the side wall of the turntable, a crossbeam slidably connected to the inner wall of the base, a positioning seat fixedly connected to the end of the crossbeam, a baffle hinged to the side wall of the positioning seat, and a positioning plate fixedly connected to the top of the positioning seat. The beneficial effects of this utility model are: through a precisely designed guiding structure, it can provide a stable and accurate guiding channel for the drill bit, reducing deviations during the drilling process, improving drilling accuracy, adapting to metal workpieces of different sizes and shapes, expanding the applicability of the clamping device, meeting various complex drilling processing needs, and improving the versatility and practicality of the clamping device.

The utility model discloses a kind of visual calibration device of astigmatism eye focal line, comprising: axial position scale board, board face is printed with E-type visual target for distant visual detection;Cross visual target disc, coaxially rotatably embedded in through-hole;Several groups of pinholes, each group is arranged along visual target line two sides straight line, pinhole center connecting line is parallel with corresponding visual target line;Fixed shaft is through cross visual target disc center, and is mechanically connected with transmission device;LED light source, set in axial position scale board back surface.The utility model has beneficial effect: the utility model can provide clear and visible and invariable measured astigmatism eye objective existence astigmatism focal line of the person being examined, and can accurately determine the clear criterion that cross visual target line coincides with the focal line, so as to maximumly improve the accuracy of astigmatism eye astigmatism axial calibration, reduce the deviation of calibration astigmatism axial direction and actual astigmatism axial direction, improve determination accuracy and determination work efficiency.

This utility model relates to the field of spunlace fabric production technology and discloses a spunlace fabric production line, which includes a sizing screen and a spunlace screen. Corresponding web-forming screens and a first web-forming vacuum suction device are arranged on both sides of the sizing screen. After the fiber web is formed on the sizing screen, the mutual compression between the web-forming screen and the sizing screen smooths the rough surface of the fiber web. The first web-forming vacuum suction device then removes moisture from the fiber web, reducing its moisture content. This reduces the deviation in distance between the fiber web and the hydroentanglement during the first hydroentanglement process, ensuring that the hydroentanglement energy is fully and evenly received by the fiber web, promoting uniform fiber entanglement. Compared to roller compression, this method is gentler. While the web-forming screen is compressing the sizing screen, the moisture is absorbed by the vacuum suction device below, and the negative pressure adsorbs the fiber web, preventing damage to its integrity. This utility model features a simple structure, strong practicality, and good performance.

The present application relates to the technical field of sensor data calibration, and specifically relates to a multi-sensor data calibration processing method, system and medium, the method comprising: obtaining at least two sensor data and standard second harmonic signal data; obtaining the second harmonic signal data corresponding to the laser intensity signal from the sensor data; determining the harmonic abnormal feature, the first difference rate and the second difference rate according to the second harmonic signal data and the standard second harmonic signal data; determining the calibration error parameter according to the harmonic abnormal feature, the first difference rate and the second difference rate; based on the calibration error parameter, the initial detected target gas concentration is calibrated to obtain the calibrated target gas concentration. The present application can correct the initial detected target gas concentration according to the calibration error parameter, improve the calibration accuracy, and further reduce the deviation between the sensor detected gas concentration and the real gas concentration.

The application discloses a FinFET device temperature-dose coupling modeling method, and belongs to the field of advanced semiconductor technology. The application solves the problem that a traditional irradiation model cannot give the degradation rule of a FinFET device under different temperature-dose. The application constructs a multi-physical field coupling nonlinear irradiation model, overcomes the limitation that a traditional total dose model only depends on the electric field intensity, effectively breaks through the limitation that a hole yield in the traditional model is only affected by the electric field and cannot reflect the degradation rule under different temperature-dose, and guarantees the accuracy of simulation results. Based on experimental data feedback, the application realizes dynamic correction of coupling factors, and improves the precision of the temperature-dose coupling model. By extracting the electrical characteristic parameter drift, the application constructs an analytical function of the evolution of the coupling factors with temperature and dose, and realizes accurate parameterization characterization of the radiation-induced trap charge accumulation process under different temperature-dose. The application can be applied to temperature-dose coupling modeling of a FinFET device.

The application discloses an intelligent bid evaluation auxiliary decision-making system based on an AI large model, relates to the technical field of intelligent bid evaluation, and comprises a data acquisition module, an information extraction module, a graph construction module, a factor matching module and an intelligent scoring module; the data acquisition module acquires original data of bid invitation and bid documents; the information extraction module performs multi-modal information extraction on the original data to generate a structured factor set; the graph construction module analyzes the structured bid invitation factor set and constructs a bid invitation demand knowledge graph; the factor matching module aligns and maps the structured bid factor set with the knowledge graph to generate a matching relationship network; and the intelligent scoring module utilizes an AI large model, combines historical bid evaluation cases and real-time market quotations, and outputs a multi-dimensional preliminary quantitative scoring vector of bidders; the system can improve the completeness of bid evaluation information extraction and the objectivity of bid evaluation results, and assists efficient development of bid evaluation work.

This invention provides a gyroscope-based Ackerman chassis correction method, system, and storage medium. First, the motor steering angle is controlled to make the chassis perform circular motion. Based on the chassis's linear velocity and angular velocity obtained from the gyroscope, the turning radius is calculated using the relationship of the Ackerman chassis structure's turning model. Then, the motor steering angle is adjusted to obtain the turning radii corresponding to multiple motor steering angles. Finally, curve fitting is performed on the motor steering angle and the corresponding turning radius to calculate the relationship between the motor steering angle and the chassis turning radius. The Ackerman chassis correction method provided by this invention obtains a relationship between the motor steering angle and the chassis turning radius that reflects the chassis's actual operation, reducing deviations caused by structural factors and improving the control accuracy of the chassis during operation.

A kind of power equipment image processing method based on optical fiber bundle imaging, storage medium and system, method is: signal output by infrared fiber bundle is collected by infrared camera pixel matrix, unit in matrix is divided into effective unit and invalid unit, and generate unit division binary matrix data file;Again processing obtains temperature correction matrix data file, temperature segmented point corresponding response value matrix data file, and establish the correction value of response value matrix under different radiation scene;Through numerical fitting and interpolation compensation method, the video stream of optical fiber bundle transmission image is carried out real-time restoration and optimization, completes the inversion from thermal map to temperature field distribution;The present application also includes the storage medium and system of storing the power equipment image processing method based on optical fiber bundle imaging of running this, the present application carries out real-time restoration and optimization to the video stream of optical fiber bundle transmission image by numerical fitting and interpolation compensation method, completes the inversion from thermal map to temperature field distribution.

The application discloses a wheel-bucket excavator experimental platform suitable for an alpine environment and relates to the technical field of mine mechanical test equipment, comprising a simulated rock wall, a wheel-bucket test device and a strain gauge; the wheel-bucket test device comprises a wheel-bucket assembly and a plurality of buckets uniformly arranged along the circumference of the wheel-bucket assembly, and a plurality of bucket teeth are arranged on the outer side of the bucket and directly contact the simulated rock wall; the strain gauge is inlaid in the connection between the bucket tooth and the bucket and is used for collecting the horizontal and vertical torsional stress changes of the bucket tooth; the simulated rock wall is arranged to simulate the physical properties of rock-soil bodies in the alpine environment, the bucket teeth directly contact the simulated rock wall to realize accurate simulation of the digging working condition, and the technical problem that the existing experimental platform cannot be adapted to the alpine environment is solved, thereby providing an experimental basis in line with actual working conditions for performance verification of the wheel-bucket excavator used in the alpine environment.

This invention discloses a method and system for identifying urban decline spaces, belonging to the field of urban planning technology. The method includes: S1. Acquiring population grid data and building area grid data of a target area for multiple consecutive years within a time interval; S2. Performing spatial alignment and standardization processing on the population grid data and building area grid data to form a standardized annual spatial database; S3. Removing grid units in the annual spatial database that do not possess effective urban activity characteristics to obtain a set of effective urban spatial grids; S4. Performing time series analysis on the effective urban spatial grid set to determine urban decline space grids; S5. Using a spatial clustering algorithm to cluster the determined urban decline space grids, dividing the urban decline space into continuous urban decline space and scattered urban decline space. This invention achieves automatic identification and classification of continuous and scattered urban decline spaces by analyzing the population and building area change trends over multiple consecutive years.

This invention relates to a method and system for multiple planning and force adjustment of welding allowance in robotic machining. The invention includes real-time monitoring of weld allowance changes to obtain real-time actual weld allowance data; establishing a material removal rate model based on historical grinding data and material properties; wherein the historical grinding data includes the material removal amount of materials with different properties under different grinding parameters; the material removal rate model is used to predict the material removal amount based on the actual grinding force and material properties; the grinding parameters include grinding speed, grinding path, magnitude and direction of grinding force and / or the tilt angle of the grinding tool; when there is a deviation between the actual weld allowance data and the target allowance, the grinding parameters are dynamically adjusted based on the material removal rate model; future grinding needs are predicted based on the current grinding state, and the grinding parameters are adjusted in advance. This invention improves the consistency of welding allowance processing and grinding accuracy, and enhances grinding quality and efficiency.

The future state operation mode generation method, device, storage medium and computer equipment provided by the application first generate a plurality of active scenarios in the to-be-analyzed scene when generating an operation mode; then, N-1 DC power flow calculation is performed on each scenario to record each scenario as a qualified mode or an unqualified mode according to the calculation result, and generate a steady-state file of the active scenario of each qualified mode; subsequently, a reactive power configuration strategy combining an AI algorithm and a configuration rule is used to perform reactive power configuration and power flow calculation on each steady-state file, so that the calculation efficiency can be improved while the deviation is reduced; in the calculation result, the active scenario that does not converge is recorded as a reactive power non-convergent mode, and the active scenario that converges is subjected to voltage qualified rate improvement, and is recorded as a convergent but voltage unqualified mode or a usable mode according to the improvement result, and through the generation mode of the active scenario, the application can quickly analyze and obtain the operation condition of the system under different scenarios.

The utility model provides a kind of glue head mounting plate for 3D curved surface glass pad printing, it is related to glue head mounting plate technical field, comprising: mounting plate body, the top of mounting plate body is provided with glue head slot, the surface of mounting plate body and close to four corners are all provided with mounting hole, the bottom inner wall of glue head slot is symmetrically provided with round hole;Glue head slot is according to the "customized design cooperation size" of glue head outer diameter, both avoid glue head loosening displacement, prevent excessive extrusion deformation again, the structure of two end arc, four corners fillet, the special-shaped glue head demand of adaptation 3D curved surface glass, can play the effect of reducing pad printing pattern deviation, to improve yield ratio, mounting hole inlay fixed cylinder, can be adapted to the fastener of different pad printing machine, realize "one machine multiuse", the arc of glue head slot, fillet design, compatible circular, special-shaped glue head, without replacing mounting plate can switch pad printing process, can play the effect of improving change type time.

The invention belongs to the technical field of petroleum geophysical exploration, and relates to an overlapped meshless undulating surface seismic wave field numerical simulation method and system. The method comprises the following steps: establishing an undulating surface seismic wave speed model and an absorption attenuation Q model based on geological parameters of an exploration area; based on the undulating surface seismic wave speed model and the absorption attenuation Q model, adopting an overlapping meshless node subdivision method to obtain a node data set of an overlapping region; taking the node data set as input, expanding a radial basis function based on a Chebyshev polynomial and forming a difference matrix, and solving to obtain a node difference coefficient set; and taking the node data set and the node difference coefficient set as input, performing finite difference discretization on a Kelvin-Voigt model-based viscous-acoustic wave equation based on a radial basis function, implementing forward continuation of the wave field, and completing the seismic wave field numerical simulation of the overlapped meshless undulating surface. According to the method, the constant Q model is accurately described, amplitude-phase decoupling is realized, and the absorption attenuation effect of the medium can be effectively described.

The application discloses a kind of based on iTransformer's heat load prediction method, belong to heat supply system heat load prediction technical field, including: collection historical meteorological data and corresponding heat load data, constructs heat load dataset;Construct network model based on iTransformer, and utilize heat load dataset to carry out learnable confrontation attack training, obtain heat load prediction model;Meteorological data of prediction area is input to heat load prediction model, and the corresponding heat load prediction result is output;The method of the application realizes heat load prediction by constructing network model based on iTransformer, eliminates the prediction error caused by label correlation, and improves the robustness of the proposed model by learnable confrontation attack training method.

The utility model discloses a valve mechanism of micro -fluidic chip, including the upper valve disc of installing in the inside of micro -fluidic chip, the integral molding of a plurality of connecting columns of upper valve disc bottom end and the integral molding of a plurality of connecting column bottom end lower valve seat, the inside of lower valve seat is provided with a plurality of both ends all through to the arc drainage cavity of lower valve seat outside. Upper valve disc, lower valve seat in the utility model are driven by outside micro -motor and rotate in micro -fluidic chip, and the arc drainage cavity in lower valve seat is communicated with the corresponding flow passage in micro -fluidic chip, and the elastic retreat -stopping structure, the anti -slip groove maintain the rotation angle of upper valve disc, lower valve seat.

The present application relates to a tire rubber performance detection method, and particularly relates to a method and system for measuring a low-temperature network dissipation index for characterizing the low-temperature rolling energy consumption tendency of rubber tire tread rubber. The present application performs a strain amplitude scanning under constant frequency at T0+ / -DeltaT three temperature points by RPA / DMA, calculates the area type Payne value A(T) of the logarithmic strain coordinate and the temperature derivative thereof at T0, and outputs an index; the mixed area can be normalized or G'' is introduced. Through regression calibration k of the whole tire rolling resistance according to ISO 28580 and a threshold value, fast, comparable and quantifiable prediction of low-temperature energy consumption of the material grade is realized, and the present application is suitable for formula development, incoming material release and process control.

The utility model relates to the field of chemical fabric processing, in particular to a thermal cutting device for chemical fabric. The thermal cutting device for the chemical fabric can automatically cut the chemical fabric, does not need to be manually held by hands, is simple to operate, saves manpower and time, improves cutting efficiency, and improves use convenience. A thermal cutting device for chemical fabric comprises bases, a lead screw and the like, the left base and the right base are arranged, and the lead screw is rotationally connected to the upper side of the middle of the base on the left portion. The supporting frame moves to drive the pressing plate and the electric heating wire to move, chemical fabric is pressed tightly through the pressing plate, then the supporting frame continues to move, the electric heating wire moves to make contact with the chemical fabric, the electric heating wire heats to conduct thermal cutting on the chemical fabric, and therefore the chemical fabric can be automatically cut, manual hand holding is not needed, operation is easy, and efficiency is high. And manpower and time are saved, the cutting efficiency is improved, and the use convenience is improved.

The utility model relates to the field of medical apparatus and instruments, especially a whole body irradiation fixing device, including fixed plate, neck chest fixing part, abdominal and pelvic fixing part and tractor, the length direction of fixed plate installs neck chest fixing part, abdominal and pelvic fixing part and tractor in proper order, still including wrist placing part and leg fixing part, two wrist placing parts are arranged, two wrist placing parts are separately arranged on the both sides of fixed plate width direction, and two wrist placing parts all slide and connect fixed plate, and the sliding direction is the length direction of fixed plate, first locking part is provided on wrist placing part, leg fixing part is installed on fixed plate, and is located between tractor and abdominal and pelvic fixing part, this device can better fix the leg of patient, and can support the wrist of patient, further reduces the error that causes when the hand or leg deviates during the position.

The application provides a fault prediction method and related device of an oil-immersed transformer, and belongs to the technical field of transformer fault prediction. According to the fault stage division result of the oil-immersed transformer, the fault stage in which the current oil-immersed transformer is located is determined; the first data is retained to evolve the law, the second data is extracted to reflect the sensitivity feature of the oil-immersed transformer fault, the third data is extracted to reflect the physical essence feature of the oil-immersed transformer fault, and the first feature vector, the second feature vector and the third feature vector are obtained correspondingly; according to the fault stage in which the current oil-immersed transformer is located, the first feature vector, the second feature vector and the third feature vector are fused to obtain a fused channel feature vector; and the fused channel feature vector is input into an improved DCCNN model with determined parameters to obtain a fault prediction result of the oil-immersed transformer. The application solves the problem that the accuracy of the fault prediction of the oil-immersed transformer is not high.

The application discloses a kind of flight ground support data interpolation method and system, method includes: initial flight ground support data is preprocessed, and the adjacent matrix of each node of flight ground support network is obtained;Dimension expansion is carried out to ground flight support data using fully connected neural network to obtain characteristic tensor matrix, first feature extraction and dimension reduction are carried out to characteristic tensor matrix using interpolation recursive neural network, and first characteristic vector is obtained;Second feature extraction is carried out to first characteristic vector using recursive neural network, and the characteristic vector in hidden layer is obtained;The feature vector in hidden layer is down-sampled by transposed convolution neural network, and the original dimension is restored;Depth neural network parameters are trained using loss function, and the interpolation of data is realized using trained depth neural network, and complete flight ground support data is output.The quality of flight support data is improved, the interpolation accuracy of data is more accurate, and the integrity of flight ground support data is guaranteed.