11results about How to "High process requirements" patented technology

The invention belongs to the technical field of industrial automation and intelligent manufacturing, and particularly relates to a robot ultrasonic polishing method, device and system.The robot ultrasonic polishing method comprises the steps that a robot ultrasonic polishing tool is calibrated, a polishing workpiece is positioned, and the position of the polishing workpiece under robot base coordinates is determined; based on the model information of the to-be-polished workpiece, a polished workpiece model is constructed and analyzed; based on the to-be-polished workpiece model analysis information, a polishing area is divided, and an ultrasonic polishing path of the robot is planned; interference analysis of the path points is carried out on the planned polishing path, and robot ultrasonic polishing of the workpiece is carried out according to the interference analysis result of the path points; and the polishing effect of robot ultrasonic polishing is evaluated, closed-loop feedback of robot ultrasonic polishing is conducted in combination with the polishing effect evaluation result, and robot ultrasonic polishing technological parameters are adjusted in real time according to the feedback result.

The present invention belongs to the field of deicing of fan blades, and specifically relates to a fan blade deicing system and method, including a fan, a heater, a three-way pipe I and a three-way pipe II, wherein pipe Ia of the three-way pipe I is connected to an air inlet of the fan, pipes Ib and Ic are respectively connected to the inside of the fan blade and the outside of a manhole baffle, pipe IIa of the three-way pipe II is connected to an air outlet of the fan, pipes IIb and IIc are respectively connected to the heater and the outside of the manhole baffle, the air outlet of the heater is located inside the fan blade, and valves are arranged on pipes Ib, Ic, IIb and IIc. The present invention can firstly deform the fan blade surface by inflation-exhaust cycle, remove most of the ice in a short time, and then perform gas-heat deicing for a relatively short time, remove the ice remaining from the deformed deicing and difficult to remove, and well combine the blade surface deformation deicing with gas-heat deicing, and has a simple and reliable structure, high efficiency, and can effectively save deicing time.

The utility model discloses a partially perforated film which comprises a middle functional layer and base material layers tightly attached to the upper surface and the lower surface of the functional layer, the functional layer is provided with perforated holes corresponding to a front camera and an optical controller of equipment, the perforated holes are filled with transparent adhesive tape, and the transparent adhesive tape is filled with transparent adhesive tape. And the transparent adhesive tape is extruded into a light-transmitting layer by the base material layers on the upper and lower surfaces. According to the technical scheme of the utility model, the normal function of the front-facing camera is realized by filling the transparent adhesive tape in the through hole on the peep-proof, blue-light-proof and other functional layers to form the transparent layer.

The invention relates to a series-fed four-arm spiral circularly polarized omnidirectional antenna based on a carbon material, and belongs to the technical field of microwave antennas. According to the antenna, a four-arm helical antenna is made of a carbon material, and omnidirectional circularly polarized radiation is realized through a feed network. Compared with a traditional metal antenna, the carbon material is adopted to replace metal, the weight and cost of the antenna are effectively reduced, and meanwhile good antenna performance is kept. The feed network adopts the microstrip line design, the structure is simple, special devices and materials are not needed, and the cost is further reduced. The antenna has the advantages of being simple in structure, easy to process and manufacture, good in omnidirectional circular polarization radiation characteristic and the like, and has wide application prospects in the fields of satellite communication, mobile communication, radar systems and the like.

The present invention relates to the fields of heat storage and thermally conductive materials, and discloses a highly thermally conductive heat storage material, a preparation method therefor, and the application thereof, and a composition for preparing a highly thermally conductive heat storage material and the application thereof. The highly thermally conductive heat storage material comprises 11-41wt% of a carbonaceous part and 59-89wt% of a graphitic part; for the carbonaceous part, Lc>18 nm, La>35 nm, d002<0.3388 nm, and the degree of graphitization is 60% to 95%; for the graphitic part, Lc>50nm; La>80nm; d002<0.3358nm, and the degree of graphitization is 95% to 100%. The highly thermally conductive heat storage material comprises a carbonaceous part with a specific structure and a graphitic part with a specific structure, and the heat storage material obtained thereby possesses high thermal conductivity and high compressive strength. Meanwhile, the preparation process of the highly thermally conductive heat storage material is simple and cost-effective.

The present application discloses a data governance method and system based on big data, the method comprising constructing a plurality of corresponding business management nodes according to the existing business system of an enterprise; obtaining initial data to be governed and performing standardized preprocessing to obtain preprocessed data to be governed; performing type and feature extraction on the preprocessed data to be governed to obtain type feature information; performing sensitive attribute verification on the preprocessed data to be governed to obtain corresponding data sensitive attribute identification, associating and matching the business management nodes of a data management network organization, and determining to obtain an initial data governance plan; matching corresponding data governance standards according to the type feature information and the data sensitive attribute identification, and optimizing and adjusting the initial data governance plan to obtain a target data governance plan; performing data governance on the preprocessed data to be governed according to the target data governance plan; the present application has the effect of standardized data governance process and high data quality, and meets the data governance needs of modern enterprises.

The invention discloses a transparent pixel display screen structure and a using method, the transparent pixel display screen structure comprises a supporting frame, the bottom of the supporting frame is fixedly connected with a bearing seat, and a limiting frame is movably connected between the top of the outer surface of the supporting frame and the middle end of the bearing seat; a transparent display screen body is movably connected between an inner cavity of the limiting frame and the middle end of the supporting frame and comprises a transparent substrate, and a transparent side plate is fixedly installed on the front surface of the transparent substrate. The mode that the full-color chips are overlapped with the LED light sources is used for replacing the limitation that a traditional LED screen needs three light-emitting areas, the utilization rate of the light-emitting areas and the overall light transmittance are improved, the space occupied by pixels is effectively saved through use of the full-color chips, and the light transmittance of the whole LED screen is improved. Therefore, the same imaging effect can be realized by only needing pixel points with half size, and the resolution ratio can reach about two times of that of an LED screen.

The utility model provides a mixed conveying line body and a conveying system. The mixed conveying line body comprises a first conveying line body, a second conveying line body, a supporting module and a rotor. The first conveying line body is a magnetic drive conveying line body; the second conveying line body and the first conveying line body are both used for conveying rotors. The second conveying line body is located on at least one of the front side, the rear side, the left side and the right side of the first conveying line body in the conveying direction of the rotor. The second conveying line body is at least one of a plate chain line body, a conveying belt line body and a roller line body; the supporting module is located on at least one side of the front side, the rear side, the left side and the right side of the first conveying line body and / or the second conveying line body in the rotor conveying direction. The supporting module comprises a supporting piece arranged in the rotor conveying direction. The rotor is supported by the supporting piece, in the rotor conveying process, friction between the rotor and the supporting piece is rolling friction, the friction coefficient of the rolling friction is mu, and mu is larger than or equal to 0.05 and smaller than or equal to 0.12; or the friction between the rotor and the supporting piece is static friction.

The application discloses a clothing sales prediction system based on big data analysis and relates to the technical field of data processing, solves the technical problems that it is difficult to process the data in the clothing production and sales process after collection and integration, distributed processing is carried out by using Apache Spark, clustering analysis is difficult to be carried out by using a clustering algorithm on Spark, the correlation between clothing picture data and sales data is difficult to be mined, an association relationship is difficult to be mined by using an Apriori algorithm, and a mixed prediction model is difficult to be constructed to carry out clothing sales prediction and real-time monitoring. The application can efficiently process various clothing data by using a distributed computing processing module and deeply mine and analyze by using a data mining model, and finally, precise sales prediction can be carried out by constructing a mixed prediction model and updating model parameters in real time.

The invention discloses a current sampling circuit for RDS temperature compensation. The current sampling circuit comprises a resistor R1, an operational amplifier EA1, a power MOS tube M2 and a resistor R3, one end of the resistor R1 is used for being connected with the drain electrode of the power MOS tube M1, and the other end of the resistor R1 is connected with the reverse end of the operational amplifier EA1 and the source electrode of the power MOS tube M2; the positive end of the operational amplifier EA1 is used for being connected with the source electrode of the power MOS tube M1, the output end of the operational amplifier EA1 is connected with the grid electrode of the power MOS tube M2, the drain electrode of the power MOS tube M2 is connected with one end of the resistor R3 and then serves as the output end of the current sampling circuit to output voltage VSENSE, and the other end of the resistor R3 is grounded; the temperature coefficients of the power MOS tube M1, the resistor R1 and the resistor R3 meet the condition that K1-K2 + K3 = an expected value, K1, K2 and K3 are the temperature coefficients of the power MOS tube M1, the resistor R1 and the resistor R3 respectively, and the expected value is (0 + / -set deviation value). According to the invention, the information of the current flowing through the power tube can be accurately sampled, the temperature influence is small, and the overall temperature coefficient can be flexibly configured during design.

The invention discloses an intelligent artificial limb control and posture detection method and device based on HighHRNet, and relates to the field of computer vision, and the method comprises the steps: S1, obtaining a data set comprising a two-dimensional artificial limb user body image; s2, constructing an intelligent artificial limb control and posture detection high-resolution network based on a HighHRNet; and S3, processing the two-dimensional artificial limb user body image in the data set by using an intelligent artificial limb control and posture detection high-resolution network to obtain a final key point heat map. According to the lightweight intelligent artificial limb control and posture detection high-resolution network disclosed by the invention, the self-distillation module, the channel correlation distillation module, the DSNT module and the deconvolution module are introduced, so that distillation network learning and accurate positioning of key points in human body posture detection are realized; the method has very good recognition accuracy for single-person posture recognition and multi-person posture recognition, and has relatively low calculation parameters and operation times while improving the human body posture recognition accuracy.