17results about How to "Overcome error" patented technology

This specification provides an integrated circuit power supply analytical redundancy self-healing control method and apparatus. The integrated circuit power supply analytical redundancy self-healing control method includes: acquiring the current operating data and historical operating data at multiple historical moments collected by various sensors in an aging bench monitoring system; extracting fusion features from the historical operating data and the current operating data; processing the highly discrete data in the operating data and the prediction results of the operating data from the previous moment to obtain the prediction results of the operating data at the current moment; performing multi-task state evaluation based on the operating data, fusion features, and the prediction results of the operating data at the current moment to generate evaluation results of the output voltage, ripple voltage, and health status of the secondary power supply; updating the parameters of the PID controller based on the evaluation results; calculating and outputting control signals through the updated PID controller to perform self-healing control of the output power of the secondary power supply.

The application discloses a kind of multi-agent system output compensation control methods under non-periodic DoS attack, first construct follower fuzzy approximation system model and non-periodic DoS attack model;When attack activation causes output loss, trigger attack compensation mechanism to keep last output to provide continuous compensation signal;Switch fuzzy state observer is constructed to estimate agent state, and adaptive law in attack activation and dormancy stage is designed using Lyapunov function;Global preset performance function is constructed to establish dynamic performance boundary, and consistency tracking error and normalized conversion error are calculated to construct barrier function;Distributed adaptive security control law is obtained by combining backstepping method.The application overcomes the defect that observation performance decreases due to output loss in attack stage and traditional performance function depends on error initial value, guarantees global preset performance and high-precision state estimation, solves the cooperative control problem under non-periodic DoS attack.

This invention relates to the field of heating, and more particularly to a method for regulating an intelligent district heating system. First, based on the acquired outdoor temperature data, a preliminary target value for the water supply temperature is calculated. Based on this target value, the actual water supply temperature is obtained through constraint verification and correction. Then, based on the acquired outdoor temperature, indoor temperature, and user-set temperature data, a fine-tuning algorithm for household flow rate is introduced to update the dynamic heat demand intensity coefficient. Based on the dynamic heat demand intensity coefficient, the target thermal power is obtained. Based on the target thermal power and the actual water supply temperature, the ideal circulation flow rate is calculated. Based on the ideal circulation flow rate, the target flow rate value is obtained. Finally, based on the target flow rate value, a valve opening percentage command is obtained and sent to the actuator. This method solves the technical problems of fixed water supply temperature operation not matching actual climate changes, lack of safety and operational boundary considerations in water supply temperature control, and the inability of centralized control to respond to users' differentiated heating characteristics.

This invention provides a multi-contact force sensing device and method for a continuum robot based on fiber optic gratings (FBGs). The device includes multiple sequentially connected unit bodies, each comprising a rigid segment and a flexible segment. A positioning block is mounted on the rigid segment of each unit body. A central cavity is formed in the center of the positioning block, and driving cavities are formed around the periphery of the positioning block. Multiple driving cavities are spaced apart circumferentially along the positioning block. A multi-core optical fiber with multiple FBG sensors is disposed within the central cavity, and a single-core optical fiber etched with multiple FBG sensors is disposed within each driving cavity. By reconstructing the tension along the entire driving filament using FBG sensors, explicit modeling of the friction between the driving filament and the driving channel is eliminated, overcoming the errors and excessive computational resource consumption caused by modeling. This method can simultaneously estimate the magnitude of multiple contact points and contact forces on the continuum robot body, providing significant assurance for the safe intervention of surgical robots.

A kind of optical fiber gyro inertial platform gyro installation error angle test and compensation method, for testing optical fiber gyro platform optical fiber gyro is installed in platform body after the installation error angle relative to hexahedral coordinate system, using based on instrument installation and instrument error model, error coefficient calibration when gyro installation error is coupled with ground speed in gyroscope output, so as to influence the true value of the calibration result of instrument error coefficient, calibration is carried out in different azimuth, and the ground speed coupled with gyro installation error is different, so the calibration results of four orthogonal azimuths are combined, to realize the gyro installation error angle solution in analytical way.The gyro installation error angle obtained is compensated to error model, to solve the test problem of high-precision optical fiber gyro platform gyro precision.

The invention provides a machining tool and method for a cabin door locking component on flight equipment. The machining tool comprises a base, a first positioning piece, a second positioning piece, a third positioning piece, an electric driving mechanism and a control unit. Through the synergistic effect of the movable first positioning piece, the fixed second positioning piece and the fixed third positioning piece, the positioning and clamping system special for the cabin door locking component is constructed. The second positioning piece and the third positioning piece can stably limit the cabin door locking component simultaneously from two vertical directions due to the unique positioning part design, and the first positioning piece applies pressure from the other side to complete clamping. The structural design is ingenious, one-time rapid and accurate clamping of a cabin door locking component with a complex space structure is achieved, and a solid foundation is laid for subsequent continuous machining of a plurality of to-be-machined parts such as a hook-shaped bent part, a plurality of holes and an extension shaft; the problems of low efficiency and repeated positioning errors caused by sequential clamping machining are fundamentally solved.

This invention relates to the field of environmental monitoring and early warning technology, specifically disclosing an environmental risk early warning service system based on multi-source data fusion. The system simultaneously collects real-time environmental monitoring data sequences and dynamic trajectory simulation data sets of pollutant release in the target area; after anomaly identification and correction of the monitoring data, it extracts diffusion characteristics representing the intensity and direction of pollutant migration; based on the simulation data and real-time meteorological parameters, it performs inverse probability inference to generate diffusion path characteristics representing the spatial probability of potential pollution sources; after normalizing and aligning the two types of features, it performs multi-level confidence calibration and nonlinear fusion to generate a quantitative assessment value of the regional risk situation; based on the interval of the assessment value, it initiates an early warning level and automatically generates structured early warning instructions. This invention solves the technical problem of abnormal observation error propagation in multi-source heterogeneous data fusion through dynamic adaptive error processing and robust fusion mechanisms, improving the accuracy, reliability, and timeliness of early warning.

The present application relates to the technical field of management system, specifically relates to a kind of bus duct multi-dimensional monitoring index driven fault identification diagnosis system, including model construction unit, constructs connection model, the internal space of box in connection model is marked as monitoring space, current connection surface is marked in monitoring space, opening contour line is marked in monitoring space;Multi-dimensional monitoring unit, temperature monitoring point position is determined based on the position distribution of current connection surface and temperature sensor is set in temperature monitoring point, humidity sensor is set on the inner wall of plug-in box away from opening contour line, vibration sensor is set on the inner wall of plug-in box close to current connection surface;Fault monitoring unit, multiple fault feature sets are preset, based on the monitoring data of temperature sensor, humidity sensor and vibration sensor, compare and analyze in combination with fault feature set, determine the fault type currently occurred.

The non-integer linear array DOA estimation method based on accelerated iterative hard threshold value comprises the following steps: constructing a model comprising a non-integer linear array and received signals thereof; generating an estimated value of an ideal covariance matrix of the received signal model; constructing a difference co-array and a sparse optimization model of the non-integer linear array according to the received signal model; solving the sparse optimization model by using an iterative hard threshold algorithm combined with an Armijo type step length criterion to automatically adjust the step length and a support set, and obtaining an initial angle estimation; and generating an accurate angle estimation by performing a first-order Taylor expansion on the initial angle estimation. The application expands the array degrees of freedom by constructing a difference co-array, takes a single fast sample covariance vector as a sparse representation input, adaptively accelerates the convergence by combining the iterative hard threshold algorithm and the Armijo step length criterion, and compensates for the off-grid error caused by grid division by using a Taylor expansion total least square method, so that high-precision DOA estimation is realized under a small number of fast shots.

The application belongs to the technical field of biological detection, and aims at solving the single color change mode and poor sensitivity of the current ELISA kit, and provides CMO nano-oxidase, a CMO-OVA-MC-LR probe, a kit, a preparation method and application thereof.The CMO nano-oxidase is a raspberry-shaped Co-doped Mn3O4 oxidase, the nano-oxidase is a two-heterojunction CMO of Co3O4 and Mn3O4 synthesized by one-pot hydrothermal method, and the particle size is 110-140 nm.The detection limit of the enzyme-linked immunosorbent kit constructed by the application for microcystin LR (MC-LR) is 0.505 ng / mL, and the quantitative range is 0.195-100 ng / mL.Benefiting from the strong catalytic activity and good biocompatibility of the nano-enzyme, the label and signal response mode open up a new way for the sensitivity improvement of the immunosensor determination, and are conducive to further expanding the application of the immunosensor.

This invention provides a plug-type temperature sensor, including a plug body with an internal assembly cavity; a metal part assembled within the assembly cavity, comprising an abutment ring and a threaded sleeve, used for abutting and fixing the cable joint, respectively; a metal cover and the metal part forming a capacitor to power the sensor; a circuit board positioned between the metal cover and the metal part; a first temperature sensor electrically connected to the circuit board, with its first temperature measuring head abutting the abutment ring; and a second temperature sensor electrically connected to the circuit board, with its second temperature measuring head abutting the threaded sleeve. This invention, by setting two temperature sensors at different locations on the metal part, can detect the temperature at different positions of the cable joint. The detection data are cross-referenced and verified, effectively improving detection accuracy and overcoming the problem of single-point detection error. It can more accurately reflect the actual temperature at the electrical connection point of the T-type cable joint, providing reliable temperature monitoring data for the safe operation of the power grid. Furthermore, the optimized structure achieves multiple functions within a limited space.

The invention relates to the technical field of mining methane monitoring, and discloses a methane concentration monitoring device which comprises a methane monitor and a protective shell, the protective shell wraps the methane monitor, the methane monitor is fixedly installed in the protective shell, heat dissipation assemblies are symmetrically arranged on the two sides of the protective shell, an anti-condensation assembly is arranged in the protective shell, and the anti-condensation assembly is arranged in the protective shell. The heat dissipation assembly comprises a plurality of heat dissipation ribs and flow guide plates, the side walls of the heat dissipation ribs are fixedly connected to the outer wall of the protective shell, the multiple flow guide plates are fixedly connected to the bottom sides of the heat dissipation ribs, and the anti-condensation assembly comprises a plurality of temperature sensors and a heating cavity. According to the methane concentration monitoring device, the technical means that the protective shell is matched with the heat dissipation assembly and the anti-condensation assembly is adopted, and the defects that an existing methane concentration monitoring device is prone to being out of alignment due to overheating in a high-temperature environment, prone to being damaged due to condensation in a humid environment or large in detection error are overcome; therefore, the technical effects of high-temperature heat dissipation and moisture condensation prevention are achieved, stable work of the methane monitor is protected, the monitoring precision is improved, and the service life of equipment is prolonged.

The invention discloses a method and system for realizing noise reduction of a dry gas seal emission signal, and the method comprises the steps: adding a collected original dry gas seal emission signal into adaptive Gaussian white noise, and obtaining a noise-containing signal; carrying out CEEMDAN decomposition on the noise-containing signal to obtain a plurality of IMF intrinsic mode component signals; obtaining a first threshold correlation index of each IMF intrinsic mode component signal by calculating an autocorrelation coefficient, and carrying out wavelet threshold noise reduction processing on the intrinsic mode component signal of which the first threshold correlation index is smaller than a second threshold; and reconstructing each intrinsic mode component signal to obtain an original dry gas seal emission signal after noise reduction. The background noise in the signal is effectively eliminated, and meanwhile effective information in the signal is reserved.

This utility model discloses a threaded steel sleeve tightening device, including a clamping pipe wrench and a driving assembly. The fixed end of the clamping pipe wrench is connected to the driving assembly, and the clamping end is connected to the threaded steel to be tightened. The driving assembly drives the clamping pipe wrench to rotate, thereby tightening the threaded steel to be tightened onto the sleeve. The clamping pipe wrench includes a pipe wrench and a first connecting rod. One end of the first connecting rod is connected to the pipe wrench, and the pipe wrench clamps the threaded steel to be tightened; the other end is connected to the driving assembly. The driving assembly includes a motor, a gearbox, and a second connecting rod. The output end of the motor is connected to the gearbox, the output end of the gearbox is connected to the second connecting rod, and the second connecting rod is connected to the first connecting rod. The purpose of this utility model is to overcome the shortcomings of existing threaded steel sleeve tightening devices, overcoming the problems of slow speed and large error in manual sleeve installation.

This invention relates to the field of metal environment imaging, and more particularly to an environmental imaging method and apparatus based on millimeter-wave radar. The method includes the following steps: transmitting multi-frequency signals to the metal environment to be detected using a millimeter-wave radar array, and extracting multipath signal sequences; performing interferometric phase analysis based on the multipath signal sequences to obtain the three-dimensional coordinates of the metal and the actual target reflection point; performing iterative forward calculation based on the three-dimensional coordinates of the metal and the actual target reflection point to obtain a first metal environment image; and performing iterative residual convergence on the first metal environment image to output a second metal environment image. This invention achieves high-precision and reliable three-dimensional imaging of complex metal environments.

The invention relates to the technical field of intraocular lens growth, and discloses an intelligent regulation and control system for large-scale production forming of a cubic zirconia material. Comprising a central cooperative control module, a partition cooling data monitoring module, a contact thermal resistance liquid level analysis module, a vertical temperature gradient construction module and an induction energy dynamic matching module, and the partition cooling data monitoring module, the contact thermal resistance liquid level analysis module, the vertical temperature gradient construction module and the induction energy dynamic matching module are connected through a bus. The vertical temperature gradient construction module constructs a vertical heat flow channel by adjusting the flow velocity difference of cooling water on the side wall and the bottom. The induction energy dynamic matching module dynamically adjusts the radio frequency output power according to the liquid level height; the central cooperative control module overall plans the whole process of raw material melting, crystal growth and annealing shutdown according to thermodynamic characteristics. The technical problems that the liquid level of the high-temperature melt is difficult to monitor and the thermal field is difficult to control are solved, automatic closed-loop control over crystal growth is achieved, and the structural uniformity and the yield of large-size single crystals are remarkably improved.

The invention discloses a method for improving electric energy metering precision, and the method comprises the following steps: S1, data collection: employing an enterprise total power supply entrance and a key power consumption module, synchronously collecting original waveform data modules of three-phase voltage and three-phase current in real time at the enterprise total power supply entrance and at least one key power consumption module, s2, a parameter analysis and identification step: a separation calculation module is included, and the separation calculation module comprises a fundamental wave component module, a sub-harmonic component module and a dynamic power factor module; according to the method for improving the electric energy metering precision, through combination of synchronous high-precision data acquisition and a dynamic compensation model, the electric energy metering precision in a complex industrial scene is remarkably improved; by introducing a historical database and model self-learning step, the metering system is endowed with self-evolution and long-term stable high-precision capability; through visualization and alarm steps, function extension from metering to energy efficiency management is realized, and energy conservation and consumption reduction are driven.