27results about How to "Anti-interference" patented technology

The invention discloses an MPSK demodulation and Doppler tracking combined processing method for an underwater sound direct spread system, and belongs to the field of underwater wireless communication and signal processing thereof. The method specifically comprises the following steps: firstly, receiving underwater direct sequence spread spectrum communication signals at the same time by a multi-channel array element of any array, and preprocessing; then, signal synchronization and Doppler coarse estimation are carried out on each array element; carrying out carrier removal on the received signal of each array element to obtain a baseband signal; then, despreading the passband signal of each channel to obtain a despread related signal, and extracting signal peak information; furthermore, after fine Doppler estimation and compensation are carried out on each channel, multi-channel soft value information combination is carried out. And finally, decoding the merged signal by applying BICM-ID to obtain soft value information of each symbol under high-order modulation, and obtaining information bits carried by each symbol through decoding, the underwater communication and measurement joint integrated technology is realized, and the method has certain anti-noise performance.

The invention relates to the technical field of audio noise reduction, in particular to an audio noise reduction method and system based on deep learning. The method comprises the following steps: acquiring original audio and sound production equipment operation data associated with the original audio; invalid audio elimination is carried out on the original audio, so that effective audio is generated; carrying out audio time alignment on the effective audio so as to generate a preprocessed standard audio; performing audio output mode detection on the preprocessed standard audio and the sound production equipment associated with the original audio to generate single-equipment output audio and multi-equipment output audio; audio period regular segmentation is carried out on single-device output audio, and single-device short-period output spectrum data and single-device long-period output spectrum data are generated. According to the invention, through invalid audio elimination, time alignment, layered noise extraction and abnormal noise identification, the accuracy and real-time performance of the noise reduction effect are improved.

The invention provides a pole piece burr detection method and system. The method comprises the following steps: acquiring a pole piece image and selecting an ROI; calculating row coordinates of an actual foil material center point of each column in the ROI column by column to extract a foil material center line in the ROI; based on the gray value of each region in the ROI, determining the pixel points of the coating region column by column, taking the maximum value of the row coordinates corresponding to the pixel points of any column of coating region as the lower boundary of the coating, and taking the minimum value as the upper boundary of the coating; and calculating the difference between the row coordinate of the foil center line of any column and the coating upper boundary of the current column and the difference between the row coordinate of the foil center line of any column and the coating lower boundary of the current column, and judging the burr type of the current column. According to the method disclosed by the invention, the foil center line extraction and the boundary determination of the coating area are realized at the same time according to the gray value distribution characteristics of the pole piece image, so that the difference value between the line coordinate of the foil center line and the boundary of the coating area is used as the judgment basis of the burr type, the calculation method is simple and rapid, noise interference is effectively resisted, and the method is suitable for popularization and application. The detection result is high in accuracy.

The application discloses a small shield machine pose detection device and method in curved pipe curtain construction, a one-dimensional workbench is initially at the highest point of a guide rail through the gravity of a heavy hammer, the guide rail is vertically installed on a jacking mechanism rack, and a long grating displacement sensor measures the vertical displacement coordinates of the one-dimensional workbench in real time. In the construction process, a cross joint measurement module passes through a pipe joint, a convex flange one end is connected with a concave flange at the tail of the shield machine, the concave flange one end is connected with a convex flange at the bottom of the one-dimensional workbench, two circular grating angle sensors and a circular grating reading head are arranged on the cross joint, the rotation angle measurement of two mutually perpendicular axes of the cross joint is realized, a Bluetooth wireless transmission module reads the rotation angles of each joint at the same time, and the rotation angles are transmitted to a computer, the computer collects each data every moment, the position coordinates of the top end of the shield machine relative to a reference coordinate system are obtained through calculation, and the pose of the shield machine is detected in real time.

The invention discloses an ultra-wideband weak signal detection method and system based on all-optical oscillation and phase-amplitude conversion. The method comprises the steps that spontaneous radiation light generated by an erbium-doped optical fiber amplifier is used as an optical carrier; modulating a weak radio frequency signal to be measured received by an antenna to the optical carrier through an optical modulator to form a modulated optical signal; the modulated optical signal is injected into an all-optical oscillation circuit composed of double loops, the all-optical oscillation circuit generates multimode optical oscillation by adjusting an optical attenuator, and the all-optical oscillation circuit comprises a double-loop interference structure; performing phase-amplitude conversion by adjusting the delay difference of the two light paths in the double loops to form an equivalent microwave photon filter so as to select and amplify the modulated light signal corresponding to the radio frequency signal of the set frequency band; and converting the selected and amplified modulated optical signal into an electric signal, and performing spectral analysis to detect the weak radio frequency signal to be detected.

The application discloses a kind of multi-functional gas component concentration monitoring sensors in tunnel and use method, belong to road construction technical field.The application includes white laser emitter, 90° prism, beam splitter, dust cleaner, dispersion prism, 180° prism, dispersion light intensity detector, phase interference range finding device, data processing and sending device and guide rail.The application solves the problem that the function of the existing monitoring sensor in tunnel is single, and the cost is higher and the monitoring efficiency is lower by relying on multiple single-function sensors for monitoring;The application significantly improves the monitoring accuracy of the concentration of various gas components by full-spectrum coverage and double-data comparison to average, breaks through the limitations of traditional single-function sensors, without multiple sensor devices in parallel, significantly reduces the overall operating cost, improves monitoring efficiency.

The utility model discloses a dressing plant dedusting chimney heightening auxiliary device, which belongs to the technical field of dressing plant chimney heightening assistance and comprises a chimney base, a chimney connecting pipe and a chimney dedusting pipe, the chimney dedusting pipe is mounted on the chimney base, and the chimney base is communicated with dressing plant equipment through the chimney connecting pipe. The height of the chimney can be adjusted according to actual requirements by designing unique heightening auxiliary assemblies such as the first heightening cylinder and the second heightening cylinder and flange connection between the first heightening cylinder and the second heightening cylinder. The adjustability not only meets the requirements of different working scenes, but also enhances the adaptability and flexibility of the chimney; a plurality of spiral stabilizing pieces are fixed on the side wall of the heightening auxiliary assembly, and the stability of the whole heightening assembly is remarkably enhanced through the stabilizing pieces. When the chimney works, the stabilizing pieces can effectively resist interference of external factors (such as wind power), and stable operation of the chimney is guaranteed. The design of the heightening auxiliary assembly considers the convenience of installation and maintenance.

The invention discloses a graded absorption and purity improvement coupling system for ester exchange reaction ethylene glycol extraction liquid, and relates to the technical field of separation and purification of biological medicine chemical raw materials. Comprising an extraction liquid pretreatment module, a countercurrent grading absorption module, a purity improvement coupling module, a solvent recycling module and an environment-friendly terminal treatment module which are sequentially connected along the material flow direction, and an intelligent cooperative control module for monitoring and optimizing the whole system. In the invention, in the aspect of separation and purification, the system adopts a light-to-heavy gradient absorption strategy and a rectification-membrane separation coupling process, so that the thermodynamic limitation of a traditional single separation means is broken through, and high-precision purification of a carboxylic ester product and efficient selective recovery of ethylene glycol can be synchronously realized; therefore, the final purity of the target product is greatly improved, the target product can meet the harsh standard in the high-end application field, and the volatilization loss of light components and the entrainment of ethylene glycol are remarkably reduced by optimizing the mass transfer process.

The BTB connector fixing structure of the intelligent pen comprises a pen point support, the upper surface of the pen point support is fixedly connected with a battery, the right side surface of the pen point support is fixedly connected with a fixing support, the outer side surface of the fixing support is provided with an aluminum pipe, and the aluminum pipe is fixedly connected with the battery. The upper end of the fixing support is fixedly connected to the surface of the inner side of the aluminum pipe, the lower end of the fixing support is fixedly connected with a BTB connecting device, the lower end of the BTB connecting device is fixedly connected to the surface of the inner side of the aluminum pipe, limiting blocks are fixedly connected to the positions, close to the front side and the rear side, of the lower end of the fixing support, and a hole is formed in the pen point support. By means of the structure, original bayonet fixing of parts is optimized, and product reliability and stability are improved. A metal pressing sheet and a screw are not needed for fixation, and a plastic structure is added through a close-fitting mode with the aluminum pipe. The operation is simple and convenient.

The utility model discloses a kind of brine-cooked devices for brined peanut processing, including processing cylinder, heating device is arranged in processing cylinder, control device is connected with the outside of processing cylinder, control device includes input pipe, connecting pipe, screw rod, connecting rod, screw sleeve, control block, control frame, control sleeve and control groove, screw rod is connected in control frame one end, input pipe is connected with screw sleeve by multiple connecting rods, multiple control blocks are arranged in the inside of connecting pipe, control frame is slidably connected with control block by control groove, control sleeve both ends are rotatably connected with input pipe and connecting pipe, input pipe outside is provided with reinforcing mechanism, reinforcing mechanism includes clamping rail, clamping block, clamping sleeve, adaptive block, clamping spring and clamping groove, clamping rail is arranged in control sleeve side, clamping block is arranged in clamping rail outside by clamping groove, adaptive block is installed in input pipe outside, clamping spring is connected with clamping block, the utility model solves the problem of uneven temperature distribution, heat medium conveying flow rate is not adjustable and structural stability is insufficient.

The invention discloses a road and bridge construction surveying and mapping device, and belongs to the technical field of engineering surveying and mapping equipment, the road and bridge construction surveying and mapping device comprises a support assembly, an automatic leveling assembly and an intelligent surveying and mapping assembly which are sequentially arranged from bottom to top, and precise vertical lifting and anti-vibration locking of a leveling disc are achieved through the double-gear anti-backlash transmission design of a triangular leveling execution mechanism; the problems that a traditional leveling device is prone to vibration interference on a construction site, transmission return difference is large, and interference is caused by wind loads and unbalance loads are solved, a reliable space reference is provided for the surveying and mapping unit, meanwhile, the multi-sensor integrated measurement unit integrates a GNSS positioning module, a laser scanning distance measurement module, a vision measurement module and an inertia measurement module, and the measurement precision is improved. Multi-source data space-time alignment is achieved through hardware-level time synchronization, static target points and dynamic target objects are intelligently recognized based on a construction design model, static multi-point observation and dynamic target continuous tracking are executed respectively, and the method is suitable for complex measurement scenes in road and bridge construction.

The invention discloses a hexacarboxyl binuclear metal iron phthalocyanine catalyst and a preparation method and application thereof.The specific preparation process includes the steps that trimellitic anhydride, pyromellitic dianhydride, urea, ferrous chloride and a catalyst ammonium molybdate tetrahydrate are ground and mixed to be uniform, then the mixed material is heated to 140-150 DEG C and subjected to a constant-temperature reaction for 20-40 min, the temperature continues to be increased to 200-210 DEG C and subjected to a constant-temperature reaction for 3-5 h, and the hexacarboxyl binuclear metal iron phthalocyanine catalyst is obtained. After the reaction is finished, cooling to room temperature, and porphyrizing a product to obtain hexaformylamino binuclear iron phthalocyanine; the preparation method comprises the following steps: adding a NaOH solution into hexacarboxyl binuclear iron phthalocyanine, stirring for reflux reaction, adding ultrapure water for dilution after the reaction is finished, performing centrifugal separation, taking supernate, adjusting the pH value to 1-2 by using concentrated hydrochloric acid to generate iron phthalocyanine flocs, and standing to precipitate iron phthalocyanine to obtain hexacarboxyl binuclear iron phthalocyanine. The hexacarboxyl binuclear metal iron phthalocyanine catalyst prepared by the invention can be used for activating peroxymonosulfate to degrade levofloxacin pollutants in a water environment.

The utility model discloses an intelligent oven data line which comprises an electric wire, a first shielding layer, a fireproof layer, a high-temperature-resistant layer, a moisture-proof layer, a protective sleeve, a first connector, a second connector, a third connector and acetic acid cloth. The high-temperature-resistant layer and the fireproof layer are arranged, and a plurality of heat dissipation grooves are formed in the outer surface of the fireproof layer in a concave mode, so that the high-temperature-resistant performance, the heat dissipation performance and the fireproof performance of the product can be effectively improved, the product is not prone to heating and firing even if used for a long time, and the safety performance of the product is greatly improved; the protective sleeve is wrapped by the acetic acid cloth, the rear end of the first connector, the rear end of the second connector and the rear end of the third connector are wrapped by the acetic acid cloth, the insulation performance of a product can be effectively enhanced, short circuit and fire cannot be caused, the quality of the data line is improved, and the service life of the data line is prolonged; by arranging the first shielding layer and the second shielding layer, the shielding performance of the data line is effectively enhanced, the interference of the external environment can be resisted, the signal transmission quality is improved, and the existing requirements are met.

The invention discloses a dual-axis adjustable acceleration sensor based on modal localization, comprising: a mass block for sensing gravity acceleration, four groups of identical drive detection units arranged around the mass block, the left and right drive detection units of the mass block are used to detect acceleration in the x direction, wherein the up and down drive detection units of the mass block are used to detect acceleration in the y direction; the drive detection unit comprises a first resonator and a second resonator; a first tuning fork beam and a second tuning fork beam are coupled electrostatically, a coupling power supply outputs a coupling voltage loaded on the first fixed end connected to the second tuning fork beam, and the coupling power supply is used to adjust the electrostatic coupling strength between the first tuning fork beam and the second tuning fork beam; the first tuning fork beam adjusts the driving force through a first drive electrode; the second tuning fork beam adjusts the driving force through a second drive electrode; the invention realizes online adjustment of sensor sensitivity, resolution and detection range, and has the advantages of high sensitivity, strong robustness and the like.

The application relates to an image recognition network training method and device resisting label noise, equipment and a medium. When iteratively training an image recognition network, the image recognition network of the last iteration is taken as a teacher network, and the image recognition network of the current iteration is taken as a student network. Cross-entropy loss is calculated according to the prediction result output by the student network and the corresponding label. Self-non-true distillation loss is calculated according to the prediction results output by the student network and the teacher network. A total loss function is obtained according to the cross-entropy loss and the self-non-true distillation loss. Finally, the learnable parameters in the image recognition network are adjusted by using the total loss function until convergence, and a trained image recognition network is obtained. The method can effectively resist the interference of noise labels on network training.

This application discloses a dynamic adjustment auxiliary decision-making method for personnel allocation based on big data comparative analysis, applicable to the field of personnel adjustment and allocation. The method includes: acquiring organizational attributes and personnel allocation to generate a multidimensional wide data table; using a reference sample screening method to select multiple samples with the highest feature distance values ​​from samples in the same region across the entire domain, forming an adaptive reference sample set; performing adaptive pruning on each feature dimension within the adaptive reference sample set to construct a multidimensional benchmark interval set; using the indicator distribution quantile of the adaptive reference sample set as a trigger condition to identify abnormal samples and calculate sample correction weights; comparing the personnel allocation indicators of the region to be analyzed with the multidimensional benchmark interval set dimension by dimension, calculating the deviation value of each dimension, and generating a dynamic adjustment auxiliary scheme for personnel allocation. This application eliminates subjective judgment and achieves standardization in organizational structure and staffing analysis.

The invention provides a butterfly species intelligent identification method and system. The method comprises the following steps: constructing a form and life cycle association feature library; collecting butterfly dynamic behavior video data based on the database, analyzing behavior rules, and generating behavior feature vectors; constructing an ecological-species association dynamic model, mining a response relationship, and generating an ecological feature vector; a butterfly flight wing vibration infrasonic wave signal is collected, and an acoustic feature vector is extracted. And carrying out fusion by using a multi-modal Transform architecture, and carrying out contrast learning alignment to generate a fusion feature vector. And based on this, a recognition model is constructed, and a final model output recognition result is generated. According to the method, illumination interference is resisted through three-dimensional point cloud data, the problem of image missing is solved through an LSTM-GNN network rule, the problem of correcting single ecological data through ecological feature vectors is solved, environmental noise influences are filtered out through acoustic features, complementary fusion feature vectors are formed through four-modal feature fusion, and the model keeps high accuracy in a complex scene.

The invention discloses an ultra-precise three-axis air floating platform, which adopts the collaborative design of a vacuum preloading air floating guide rail and a porous throttling air floating bearing, and combines the nanoscale feedback of a high-precision linear grating ruler and the adjustment of a closed-loop control system to realize the nanoscale position repetition precision of an XY plane and the lifting precision within + / -1nm of a Z axis; the full-air-floating non-contact structure eliminates mechanical friction, the elastic buffering and self-adaptive adjusting capacity of an air film compensate machining and assembling errors, and the multi-frequency-band vibration isolation of the air-floating vibration isolation device is matched, so that vibration transmission and motion resistance are effectively reduced, the operation stability of equipment is improved, the service life of the equipment is prolonged, and the maintenance cost is reduced; the combination of gravity balancing of a friction-free air cylinder and driving of a linear motor is adopted, and guiding of a U-shaped guide rail is matched, so that friction-free lifting and sub-nanoscale position control are achieved; x / Y-axis dual-motor linkage is cooperated with the air bearing, so that the track smoothness and the dynamic response speed are improved, and the dynamic requirements of complex linkage processing or measurement are met.

The application discloses a SLAM method and system based on a robust adaptive unscented Kalman filter multi-sensor information fusion, which comprises the following steps: generating symmetric distribution sampling points according to system parameters and calculating corresponding weights, substituting the sampling points into a nonlinear function to complete one-step prediction, obtaining one-step prediction values of states and covariance through weighted summation, generating new sampling points based on the prediction results to perform observation prediction, and synchronously calculating an observation correlation covariance matrix; meanwhile, multi-step sub-processes are performed, including sampling point processing, weight application, operation monitoring and other operations, a dynamic noise estimation and adaptive sensor weight distribution mechanism is designed, a robust adaptive filter framework is combined, multi-source sensor complementary information is fully integrated, and abnormal data interference is effectively resisted, so that the positioning accuracy and robustness of the SLAM system in a complex environment are improved, and the application is suitable for real-time positioning and map construction scenes of autonomous mobile devices.

The application relates to the technical field of intelligent wearable devices and energy management, and discloses a low-power consumption control method and system for intelligent glasses based on an SD NAND storage chip, which comprises the following steps: synchronously aligning power supply voltage data and instruction frequency data to obtain a matching degree value; if the matching degree value is lower than a preset matching threshold value, using a pre-trained time sequence prediction model to predict a state switching duration and an instruction peak value interval to obtain a load change sequence; combining power supply noise and rhythm stability data to obtain a power supply configuration scheme through weighted calculation; performing sliding window processing on an instantaneous current sequence to obtain an efficiency change sequence; combining a preset efficiency reference sequence to calculate a correlation degree value and performing tolerance operation to obtain a dynamic switching threshold value; and combining a preset scene feature library to distribute weights to obtain a logic execution sequence and adjust the working state of the storage chip. The application realizes fine consumption reduction of the storage chip.

The application discloses a pollution-aware adaptive background subtraction method and system for dense fluorescent cluster array gene sequencing. The method comprises the following steps: determining a background candidate pixel in a local image block centered on a target cluster; performing pollution detection based on the statistical characteristics of the background candidate pixel and the spatial geometric relationship between the target cluster and the neighbor cluster; when it is determined that there is no pollution, traditional local plane fitting is retained to obtain an accurate background estimation; when it is determined that there is pollution, a pre-defined fallback strategy is automatically switched to obtain a background estimation; finally, the image block is subtracted from the background estimation, and the intensity extraction value of the target cluster fluorescent signal is obtained by weighted summation according to a preset kernel function. Through pollution awareness and adaptive strategy switching, the application effectively avoids the signal over-subtraction phenomenon in the dense cluster scene, significantly improves the recall rate and base recognition accuracy of the sequencing data, and does not need to rely on training data, and is easy to integrate with the sequencing signal processing pipeline.

The utility model discloses a curing environment regulation and control device for side window glass of a motor train unit, and aims to overcome the defect that the curing environment is unstable after the side window glass of the motor train unit is replaced due to the change of an external environment. Comprising a folding cover, a folding cover support, a heating layer, a temperature control device, a temperature sensor, a humidifier, a humidity control device and a humidity sensor. The folding cover covers the glass and the peripheral area, and the support guarantees the stability of the folding cover so as to block external interference. The heating layer and the related device regulate and control the internal temperature, and the humidifier and the corresponding device regulate the humidity. All the components cooperate to maintain the curing environment stable, and the curing quality after side window glass replacement is guaranteed.

The invention discloses an outdoor high-voltage alternating-current intelligent vacuum circuit breaker, and relates to the technical field of outdoor circuit breakers, the outdoor high-voltage alternating-current intelligent vacuum circuit breaker comprises a shell, three groups of insulators are arranged on the shell, vacuum arc extinguish chambers are arranged in the insulators, and double-state shielding mechanisms are arranged at the top ends of the insulators and the vacuum arc extinguish chambers. A top protection mechanism is arranged at the top end of the double-state shielding mechanism, a driving assembly and a clutch assembly of the double-state shielding mechanism enable a rotating assembly to drive a rotating assembly to rotate, the rotating assembly drives a shielding assembly and a heat dissipation assembly to rotate and deform, and a rain and snow shielding state or a high-temperature dispersing state is formed. One form improves the protection attribute of the circuit breaker under the condition of guaranteeing heat dissipation, and the other form reduces the maintenance difficulty under the premise of efficient heat dissipation, thereby facilitating the flexible switching of the working state according to the actual environment, improving the adaptability of the equipment to the complex environment, widening the application range, and promoting the intelligent development of a power grid. And the intelligent level and management efficiency of the power grid are improved.

The invention discloses an industrial roller shutter door position detection and display method and system. The method comprises the following steps of: maintaining crossing counts which can be dynamically increased and decreased, wherein the crossing counts are used for constructing an extended absolute position exceeding a single-circle cycle together with encoder readings; recognizing the movement of the door sheet crossing the numerical value circulation point of the encoder based on the periodic readings, and updating the crossing count according to the movement; and adaptively calculating and outputting the real-time position proportion of the door sheet according to the extended absolute position and preset upper and lower limit values. The method also includes the steps of reading fault tolerance, display normalization, and automatic calibration of stride count according to a preset rule when the location proportion is abnormal. According to the invention, the sensing problem of the'ferrule 'of the single-loop absolute value encoder is solved through a pure software algorithm, continuous and reliable position sensing and visual and adaptive proportion display are realized on the premise that the hardware cost is not changed, the anti-interference and self-recovery capabilities are realized, and the reliability and user experience of an industrial door control system are remarkably improved.

The invention relates to a food material cooking degree identification method and device and electronic equipment, and belongs to the technical field of intelligent cooking, and the method comprises the steps: obtaining a food material image sequence, a humidity sequence, equipment heating power and cooking duration, according to the food material image sequence, the humidity sequence, the equipment heating power and the cooking duration, utilizing the trained corresponding model to obtain a target multi-dimensional vector, and determining the food material cooking degree of the food material according to the target multi-dimensional vector; according to the technical scheme, the target multi-dimensional vector is obtained by combining the image, the humidity, the heating power and the cooking duration, the cooking degree of the food materials is obtained according to the target multi-dimensional vector, and due to the fact that the cooking degree is judged by fusing multiple modes, interference of part of factors can be effectively resisted, and the cooking degree recognition accuracy is improved.

The utility model relates to the technical field of part measurement, and provides a part end face profile measuring device which comprises a measuring device body. The measuring device body comprises a machine base, a C-axis unit, a workbench, a two-axis moving unit and a measuring head unit. The machine base comprises a mounting platform; a C-axis unit and a two-axis moving unit are respectively arranged on the mounting platform; the C-axis unit comprises an air floating rotary table and an adjusting platform arranged on the air floating rotary table; a workbench is arranged on the adjusting platform; and a measuring head unit is arranged on the two-axis moving unit and is positioned above the working table. The device is simple in operation, and improves the efficiency and detection precision of the end face contour of the annular part.

The invention relates to the technical field of compressed air energy storage, and discloses a multi-parameter coupling adaptive regulation and control method and system for a heat storage and exchange system, and the method comprises the steps: collecting the multi-source original operation data of the heat storage and exchange system of a compressed air energy storage power station through a sensor network, and forming a multi-source information set; inputting the multi-source information set into a preset control prediction model to obtain a prediction output value, comparing the prediction output value with an actual measurement value to obtain a self-adaptive control model, predicting a future key controlled variable change track by combining with the current state of the heat storage and exchange system, and solving through multi-target constraint optimization to obtain an optimal operation sequence. The first control action of the optimal operation sequence is sent to an execution mechanism; and performing multi-parameter coupling and decoupling processing on the optimal operation sequence under the MPC optimization framework to form cooperative control instruction execution. According to the invention, multi-parameter efficient cooperation and decoupling control are realized through the MPC framework, and the stability of the CAES power station is effectively enhanced by means of the feedforward-feedback combination with the look-ahead decision and anti-interference capability.