381results about How to "Strong precision" patented technology

The invention discloses a Gaussian mixture hidden Markov model and regression analysis remaining life prediction method. The Gaussian mixture hidden Markov model and regression analysis remaining life prediction method comprises the specific steps of 1 performing characteristic vector extraction through wavelet packet algorithm decomposition, 2 establishing Gaussian mixture hidden Markov model libraries of different fault modes; 3 establishing part failure time modes of different fault modes; 4 performing part fault mode recognition and failure state assessment; 5 utilizing regression analysis to predict remaining life. The Gaussian mixture hidden Markov model and regression analysis remaining life prediction method integrates data drive and probability statistics fully utilizes respective advantages that the hidden Markov models predict the remaining life and have randomness and real-timeliness; the par failure process is divided into multiple stages, the probability statistics and the regression analysis are adopted to correct current usage time, and the remaining life prediction accuracy is improved. The Gaussian mixture hidden Markov model and regression analysis remaining life prediction method has the advantages of being high in prediction accuracy, operation speed and real-timeliness, low in cost and the like.

The invention discloses a method for constructing a three-dimensional physical model of a sedimentary stratum system by using drilling data, which is used for processing stratum surface data detected through geological drilling and solving various problems encountered during discontinuous stratum surface data encryption interpolation reconstruction in the sedimentary stratum system and belongs to the technical application field of three-dimensional geological simulation in engineering science and technology. The method comprises the following steps of: defining a modeling field and extracting relevant drilling information; judging modeling field total stratum ordering and integrity; discretizing drilling data; defining a skeleton triangulation network; interpolating and fitting a stratum top and bottom interface; judging the lost stratum category; generating a lost stratum processing sequence; carrying out lost stratum control interface intersected processing and elevation adjustment; carrying out lost stratum and adjacent stratum interface consistency processing; generating a three-dimensional physical model; and carrying out three-dimensional visual analysis. Compared with the traditional method, the method provided by the invention can be used for automatically judging the geologic origin of the lost stratum and defining the lost boundary and has the advantages of high automaticity and strong adaptability. A reasonable modeling result and high model precision are obtained, and the generated stratum lost boundary is natural and reasonable and is quite close to a practical stratum distribution condition.

The invention relates to the technical field of three-dimensional reconstruction. The invention discloses a three-dimensional point cloud reconstruction method based on laser radar. The method comprises the following steps: data acquisition and preprocessing, feature extraction, feature matching, motion estimation, point cloud fusion and the like. The three dimensional environment real-time mapping function is achieved through a two-dimensional laser radar, and compared with the scheme based on a multi-line laser radar, the three-dimensional point cloud reconstruction method has the advantagesof being low in cost, good in motion distortion removing effect, high in real-time performance and high in mapping precision and has high practical significance for popularization and application ofthe three-dimensional environment reconstruction technology.

The invention discloses a cutting method of leather materials, comprising a rack and a work bench which is arranged on the rack. The method comprises the following steps: 1. arranging an adsorption device; 2. arranging a projecting device; 3. arranging a cutting device; 4. arranging a feeding device; and 5. arranging a cutting controlling system, wherein, the cutting controlling system is respectively connected with the adsorption device, the projecting device, the cutting device and the feeding device and controls the working conditions thereof to realize the actions of cutting materials or uncutting materials. The invention also discloses a skiving machine to realize the method. The method provided in the invention can finish the cutting action of the leather materials full-automatically and rapidly with high accuracy; the skiving machine provided in the invention has high degree of automization, novel structure and strong practicability, can finish the cutting of various complex graphs, and can save materials to the greatest extent, thus improving production efficiency greatly, ensuring product quality and strengthening the competitive power of enterprises while reducing labor intensity simultaneously.

The invention relates to a bidirectional self-centering fixture for workpieces, and belongs to the field of machinery manufacturing. A bidirectional self-centering clamping mechanism is fixedly connected with a base. A nut pressing plate is fixedly connected with the base. The nut pressing plate is connected with a locking nut in a pressed mode. A locking screw is connected with the locking nut in a threaded mode. The front end of the locking screw is in a semi-sphere shape and is connected with the bidirectional self-centering clamping mechanism in an abutted mode. A locking handle is fixedly connected with the rear end of the locking screw. A tip assembly is located below a conical face hole in the base. The bidirectional self-centering fixture is high in universality, especially suitable for the workpieces with the sections being quadrilateral or polygonal, high in bidirectional self-centering accuracy and easy to operate.

The invention relates to a device for realizing 3D metal printing by virtue of a supporting structure. The device comprises a translation stage capable of moving along the X-axis, the Y-axis and the Z-axis. Heating resistance wires and a thermocouple are arranged on a base plate of the translation stage. The heating resistance wires are used for preheating the base plate, so as to enable metal droplet layers to be tightly overlapped. The thermocouple is used for realizing the measurement and the feedback control of a temperature. An electromagnetic induction heating copper pipe and a cooling water pipe are arranged outside a graphite crucible, metallic raw materials are enabled to be molten to form molten metal, the bottom of the graphite crucible is connected with a metal printing spray nozzle, a protective gas is inputted from a gas inlet pipe at the top of the graphite crucible, and under the pulse pressure, molten metal forms regular metal droplets to drip to the base plate of the translation stage. The 3D metal droplet printing is realized through the cooperation with the movement of the translation stage. A supporting material spray nozzle is adjacent to the metal printing spray nozzle. A uniform mixture of gypsum and photosensitive resin is extruded stably under the constant pressure inputted by the gas inlet pipe so as to print the supporting part of a part. The switching between metal and the supporting material is automatically recognized and controlled by a control system. The 3D metal printing device is reasonable, high in operability, high in degree of automation, high in production efficiency, and suitable for being widely popularized, and ensures the molding quality.

The invention relates to a method for apperceiving and reconstructing a non-vision structural form of a near space vehicle model. The method comprises the following steps: on the basis of a distributed embedded dispersed bragg fiber grating sensing array, sensing and detecting strain information of each measuring point of a test model, and utilizing a certain curvature conversion algorithm to convert the strain information into curvature information; on the basis of a curvature interpolation, calculating the related coordinate value of each point of wings and frame of the test model according to a three-dimensional space curve fitting algorithm of orthogonal curvature information; utilizing a coordinate fuse algorithm to obtain an absolute coordinate value of each point of the model; and lastly, reconstructing the deformation state and the low-frequency vibrating form of the test model according to a computer graphic processing technology and realizing the three-dimensional visual real-time display for the change in the model form. An experimental system for the method comprises a simulated near space vehicle model, a fiber grating network analyzer with a network service function, a high-performance computer and a display, wherein the fiber grating sensing array is embedded into the surface of the simulated near space vehicle model.

A nano-class antibacterial non-woven fabric as filter material is prepared from polypropylene fibre and antibacterial silver nanoparticles through proportionally mixing, smelting, and melt spraying. Its advantages are high filtering effect and durable strong power to kill bacteria.

A worm wheel type driving pipeline robot system based on a high-strength spring wall press apparatus is characterized by comprising a body mechanical structure and a control system; the body mechanical structure comprises a spiral head, a body and a holding frame; the body is a main body of the robot; the working method is that the robot system is a fully-closed loop servo control system taking wheel linear speed as a feedback quantity through a fuzzy adaptive PID control algorithm. The advantages of the robot system are: (1) the robot system can steadily and flexibly move within a tilted and vertical pipeline with a minimal variable diameter; (2) the robot system exhibits good dynamic responsiveness, robustness and stability; (3) signal transmission is convenient; and (4) the robot system is highly controllable and is high in accuracy.

The invention discloses a method for building a desulfurization exhaust chimney based on three-dimensional (3D) printing and borosilicate glass, belonging to the technical fields of civil engineering and environment protection. The method comprises the following steps: calculating the size of the chimney and generating a digitalized 3D model of the chimney by a computer according to the requirements of an exhaust function of the chimney and the mechanical property of silicon carbide-enhanced borosilicate glass, and then preparing the desulfurization exhaust chimney from silicon carbide fiber-enhanced borosilicate glass as a building material by employing the 3D printing technology as molding means. The silicon carbide fiber-enhanced borosilicate glass used by the method has the characteristics of being good in high-temperature resistance, small in coefficient of thermal expansion, good in resistance to temperature deformation, and strong in resistance to sulfate erosion; meanwhile, the chimney built by using 3D printing is a whole body, so that no joint or gap is generated; no risk of leakage appears; the method has the characteristics of being high in construction efficiency and automatic; the defects caused by labor construction, construction environments and personal operation level are avoided.

The invention discloses a six-degree-of-freedom parallel robot motion analysis modeling and rapid solving method. A six-degree-of-freedom mechanical platform is composed of six supporting rods with linear actuators, an upper platform, a lower platform and steering devices, wherein six steering devices are correspondingly arranged on the upper part and the lower part, the lower platform is fixed onan infrastructural facility, and the upper platform is controlled to move in the space by six degrees of freedom through telescopic motion of the six supporting rods. The mechanical platform has a parallel structure, namely six drivers jointly act on one platform, and the six-degree-of-freedom mechanical platform specifically comprises the following steps of kinematic modeling and solving and motion controlling, wherein the kinematic modeling and solving comprise the following steps of moving coordinate transformation, rotating coordinate transformation and composite posture; and the motion controlling comprises the following steps of establishing a mechanical system model, numerical simulation results are calculated according to the established model, and finally better control of the six-degree-of-freedom parallel robot is achieved. The six-degree-of-freedom parallel robot motion analysis modeling and rapid solving method is used for helping the kinematic modeling of the six-degree-of-freedom parallel robot to be solved quickly and controlled accurately.

The present invention provides an actuarial modeling method based on the car body combination property index of support vector machine, belonging to auto structure optimization design field, including step 1, selecting parts as design object, and determining thickness of parts, material parameter as design variable; step 2, adopting testing design method to generate design matrix according to the design variable determined by step 1; step 3, processing finite element simulation testing design according to the design matrix, extracting structural performance index value to complete the establishment of the training sample; step 4, training sample by supporting vector machine method, establishing combination property index mathematic model; step 5, verifying the established combination property index mathematic model by checking index; step 6, establishing adaptive process after verifying the high precision combination property index mathematic model. The invention is fit for nonlinear response index mathematical modeling having multiple variables, high structural performance, having high precision of the model prediction, high efficiency of modeling, high feasibility of optimum design.

The invention relates to a locomotive car wheel fault detecting device based on a phased array probe. A probe bracket connected with a control mechanism is connected with ultrasonic phased array probes which are positioned on a tread surface of a wheel pair. The lower part of the tread surface of the wheel pair is positioned on a top wheel and a rotating wheel of a top rotating wheel device. The ultrasonic phased array probes are connected with a data processing and control computer. The number of the phased array probes is two, i.e. a left probe and a right probe. The left probe and the rightprobe are equidistantly far away from wheel rims and keep an axial distance of 0-10 mm from a wheel rolling circle. The length of an arc distance from the left probe and the right probe on the wheelrolling circle is 220-400 mm. Torsion angles of axes of the left probe and the right probe with the surface of the wheel rolling circle are same, wherein the torsion angle is 0-30 DEG C. The detectingdevice can automatically detect a wheel spoke fault from the tread surface in an online manner and realizes high detection efficiency and detection result accuracy. In addition, the detecting devicehas a simple structure and is convenient to use and operate.

The invention discloses a heart-type fatty acid binding protein content detection kit and a preparation method thereof. The kit disclosed by the invention is formed by a reagent I and a reagent II which are mutually independent; the reagent I comprises the following components of: a biological buffering agent, a surfactant, a coagulation accelerator, a preservative, a stabilizing agent, a blocking agent, a chelating agent and water; the reagent II comprises the following components of: latex grains covered by a heart-type fatty acid binding protein antibody, a biological buffering agent, a chelating agent, a surfactant, a preservative, a suspending aid, a sealing agent, a stabilizing agent and water; and the grain diameters of the latex grains covered by the heart-type fatty acid binding protein antibody are within 90-200nm. The detection kit disclosed by the invention has a series of advantages of good stability, strong specificity, high sensitivity, strong anti-interference capability on rheumatoid factors, good linear range, simplicity and convenience for detection and operation and the like, and is good for large-scale popularization and application.

The invention discloses an exoskeleton robot which comprises an exoskeleton robot body, a sensing system, a control system and a drive system. The exoskeleton robot body comprises an upper part support structure, a hip rod piece, thigh rod pieces, shank rod pieces, foot components, a hip joint, knee joints and ankle joints; the sensing system comprises a thin film strain gage sensor for detectingthe sole pressure, an encoder for detecting a joint angle, a force sensor for detecting a force / moment of the joint part, an attitude sensor for detecting the kinematic velocity / the accelerated speed,a capacitance-type sensor for detecting the muscle tension, and a connecting buckle fastener; the capacitance-type sensor non-contacting with a human skin is fixed onto the connecting buckle fastenerand comprises at least one electrode patch; and the control system comprises a full-communication network computing module formed based on a CNN machine learning algorithm, is connected with the sensing system and can receive data acquired by the sensing system, and is connected with the drive system capable of driving the exoskeleton robot body to move.

The invention discloses an SOP element positioning and defect detecting method based on vision, and relates to visual positioning and visual defect detecting of an SOP element in a surface mount technology visual system. For solving the problem that the SOP element is insufficient in precision and sensitive to the external environment change when being used for the mounting of a chip mounter, the invention provides a SOP element positioning and defect detecting method based on vision. The method comprises the following steps: checking whether a selected region image meets a luminance requirement; binarizing the selected region image to obtain a binarized image; extracting an outer boundary outline of the binarized image obtained in the second step through the adoption of a canny edge detection extracting method to obtain each outer boundary point set of the binarized image; performing SOP element pin defect detection according to above obtained data. The method is applied to the visual field of the chip mounter.

The invention discloses a system and a method of analyzing energy consumption of an electric vehicle. The system comprises an electric quantity measuring module, a shaft power measurement module, a power acquisition module and a calculation module, wherein the electric quantity measuring module is used for measuring total output electric quantity of a power battery when a test vehicle drives at a preset vehicle speed at a preset ambient temperature; the shaft power measurement module is used for measuring total power absorbed by a driving shaft of a transmission system assembly when the test vehicle drives at the preset vehicle speed at the preset ambient temperature; the power acquisition module is used for acquiring total power absorbed by a chassis dynamometer when the test vehicle drives at the preset vehicle speed at the preset ambient temperature; and the calculation module is respectively connected with the electric quantity measuring module, the shaft power measurement module and the power acquisition module for respectively calculating the transmission system assembly efficiency and the wheel efficiency according to the total output electric quantity of the power battery, the total power absorbed by the driving shaft of the transmission system assembly and the total power absorbed by the chassis dynamometer. Thus, the overall energy consumption and the efficiency of the electric vehicle at the preset ambient temperature and the preset vehicle speed can be effectively analyzed.

The invention discloses a steel pipe cutting machine with an edge grinding function and facilitating heat dissipation. The steel pipe cutting machine comprises a base, a saw blade, a polisher, a workbench and a water tank, wherein universal wheels are all installed at four corners of the bottom end of the base, a control panel is arranged at the middle position of one end of the base, a hinging base is installed at the middle position of one side of the top of the base, and a supporting arm is hinged to the hinging base; and a reset spring is arranged at the hinged joint between the hinging base and the supporting arm, and a middle position of one end, close to the control panel, of the supporting arm is fixedly provided with a saw blade fixing cover. The steel pipe cutting machine with the edge grinding function and facilitating the heat dissipation is provided with the circular workbench and an arc-shaped adjusting groove, the workbench is embedded into the base, a fixing bolt in theadjusting groove is loosened during use, a handheld ball is held by hands to rotate the workbench, after the workbench is adjusted to a suitable angle, the fixing bolt is used for fixing the workbench, then a steel pipe can be fixed at multiple angles, so that multi-angle cutting of the steel pipe is realized, and the applicability is higher.

The invention discloses a robot positioning method and device based on SLAM (Simultaneous Localization And Mapping) of covariance intersection fusion. The method comprises the steps of collecting an image of a surrounding environment through a binocular camera of the robot and correcting the image to obtain the corrected image; processing the image, and further constructing a corresponding map point to obtain a state space model of the robot and an observation model of the robot on a road sign; predicting a predicted value of the robot posture at the current moment according to an optimized estimation value of the robot posture at the previous moment; obtaining an observed quantity at the current moment according to the observation model of the robot on the road sign; performing correctionupdate by use of a CI fusion-based filter method in combination with the observed quantity and the predicted value at the current moment to obtain the optimized estimation value of the robot postureat the current moment. According to the robot positioning method and device based on SLAM of covariance intersection fusion, the covariance intersection fusion algorithm is applied to the SLAM, thereby enhancing the robustness in the linear error, improving the filter precision and improving the accuracy of positioning of the robot in different practical application environments.

The invention provides a user information identification and classification method based on an internet application and a system thereof, and aims at compensating limitation of conventional data collection and identification modes. The user information identification and classification method based on the internet application comprises the steps that S1 use information of an application user is acquired; S2 real-time data analysis is performed; S3 offline storage is performed; S4 offline data analysis is performed; and S5 the analysis results are summarized. The method has extremely high compatibility, can realize real-time data collection and has great stability; storage pressure is low and rate of data analysis is high; and the data are stored by adopting an offline mode so that the data are ensured to be complete and errorless and historical data are ensured not to lose. The user information identification and classification system based on the internet application comprises a data collection module, a log analysis module, a storage module, an offline analysis module and a model database. The system has high precision, flexibility and stability and adopts two-stage analysis modes of real-time analysis and offline analysis so that computation pressure of the system can be reduced.

The invention discloses a thin archive access transportation robot device and a using method thereof, and relates to the technical field of archive robots. The thin archive access transportation robotdevice comprises an AGV, an X-axis moving module, a Y-axis moving module, a Z-axis moving module, archive boxes and an archive box access mechanism. The AGV is arranged over an electromagnetic rail mounted on the ground. A storage battery, a controller and a memory are mounted in the AGV. The archive boxes are vertically placed on an archive shelf at intervals. Mounting grooves are formed in thearchive boxes, and iron strips are arranged in the mounting grooves. Bar code labels are stuck on the archive boxes. A two-dimensional code label is stuck on the archive shelf. The archive box accessmechanism is arranged on a Z-axis sliding plate and comprises an L-shaped supporting plate, a CCD camera, an adjustment motor, an access motor and an electromagnet. The thin archive access transportation robot device is moved to a specific position first through the linkage of the AGV, the X-axis moving module, the Y-axis moving module and the Z-axis moving module, then the CCD camera is used forscanning for judgment, afterwards, the access motor stretches the electromagnet to attract the ion strips on the archive boxes, and thus, access of the archive boxes is achieved.

The invention discloses a device for simulating gastric digestion and a using method of the device. The device comprises a gastric reaction vessel, a stirrer, a water bath control system, a computer monitoring system, a gastric emptying pump and the like. The using method comprises the following steps: gastric juice and a solution / dispersion liquid of a substance to be tested are added to the gastric reaction vessel; the stirrer simulates gastric peristalsis; the water bath control system controls the temperature in the reaction vessel; the computer monitoring system monitors the temperature, pH and digestion time in the gastric reaction vessel; the gastric emptying constant-flow pump simulates gastric emptying; digested products are collected; the activity of pepsin is eliminated; the digestion simulation process is repeated for three times; the digestion condition of the substance to be tested is tested. According to the invention, the detailed gastric digestion process is simulated for the first time; gastric digestion conditions after various active or nutritious substances enter a human body can be observed and explored; the simulated environment is in accordance with the physiological environment of a human body; the fitness between the digestion in the simulated environment and the gastric digestion is high; accuracy of control over the environment simulation is high.

The invention discloses a quick-action bench vice. The quick-action bench vice comprises a fixed vice body, a movable vice body, a screw rod and a quick-action clamping device, wherein the movable vice body and the screw rod are integrally assembled together; and the quick-action clamping device comprises a nut assembly and a handle assembly. A swinging block and the screw rod are released from thread engagement while the handle is shifted to a quick-action position; the movable vice body can be rapidly moved to finish rapid clamping or loosening action while being pushed and pulled at the moment; and after the quick action is finished, the handle returns to a slow-action position. The swinging block and the screw rod are closely engaged with each other by threads under an effect of a small tension spring while the handle is shifted to the slow-action position; the movable vice body can be driven by a rotating screw rod to move at a low speed at the moment so as to finish slow clamping or loosening action; in addition, the movable vice body can be also pushed to rapidly move to the direction of the fixed vice body. The quick-action bench vice disclosed by the invention has the advantages of simple and reasonable structure, convenience and quickness for operation, time and labor conservation, high jaw distance adjusting speed, high working efficiency, low labor, strong clampingforce, high precision, long service life and the like.

The invention discloses a laser-assisted intelligent trailing system for a welding line. The laser-assisted intelligent trailing system for the welding line is used for welding the welding line and comprises a binocular stereoscopic vision orientation module, a welding robot module and a laser assisted feedback module, wherein the binocular stereoscopic vision orientation module is arranged and fixed to be able to shoot the welding line; the welding robot module comprises a DSP control system, a welding gun adjusting device and a welding gun, the welding robot module is in signal communication with the binocular stereoscopic vision orientation module, and the welding robot module acts in response to parameter actions collected by the binocular stereoscopic vision orientation module; the laser-assisted feedback module comprises a laser sensor and a monocular camera, the laser-assisted feedback module is in signal connection with the binocular stereoscopic vision orientation module and the welding robot module respectively, and the laser-assisted feedback module feeds the detected parameters back to the binocular stereoscopic vision orientation module and the welding robot module. The invention also discloses a laser-assisted intelligent trailing method for the welding line.

The invention provides a method for determining cut stem proportion in cut tobacco. The method comprises the steps of: separating cut stems from cut tobacco according to density difference, drying and weighing the cut stems and calculating stem tobacco. The method for determining cut stem proportion in cut tobacco employs density difference to separate cut stems, and has simple and quick operation, high accuracy and strong practical applicability. The method can evaluate and verify whether the cut stem proportion meets the requirement of a blending technology in actual production process and whether the blending mode is reasonable, and can solve technical problem of mixing uniformity difference of cut stems of different specifications. The method for determining cut stem proportion in cut tobacco solves the problems of accuracy and speedability in determination of cut stem mixing proportion in cut tobacco of tobacco enterprise, and provides a feasible method for accurate and rapid detection of cut stem mixing proportion in cut tobacco, and has great significance for control of the production process stability, optimization of blending mode and improvement on stem silk production parameters.

A method for screening and prognosis-estimating lung cancer includes catching lung cancer protein set in external biological sample by utilizing means of using magnetic bead to support substrate, using magnetic separator to separate magnetic bead and sample then using mass spectrography to carry out analysis. The mass spectrum kit used for screening and prognosis-estimating lung cancer is also disclosed.

The invention discloses an inner ring groove grinding and ultra-fine-processing integral machine for a fully automatic bearing ring. The inner ring groove grinding and ultra-fine-processing integral machine comprises a machine tool, wherein a grinding device, a groove grinding detection device and an ultra-fine-processing device are arranged on the machine tool. The problem of low efficiency of the existing inner ring groove forming is solved. The grinding device, the groove grinding detection device and the ultra-fine-processing device are installed together; the inner ring processing efficiency of the bearing ring is improved; meanwhile, the processing precision stability is high. A grinding wheel trimmer is added, so that the service life of the grinding and ultra-fine-processing integral machine is higher, and the precision is higher.

The invention relates to a GPS (global positioning system) vehicle travelling data recorder, in particular to a method and a device for automatically computing a vehicle pulse factor via GPS (global positioning system) speed. The method comprises the following steps: 1. searching for a time period T in conformity with the judging criteria; and 2. storing the speeds and pulse counts per second of the time period T in the time period T searched in the step 1 and computing the vehicle pulse factor R according to the following formula: R=(1000*P) / L, wherein L is the accumulated travelling distance in the time period T, namely the accumulated sum of all the travelling distances per second in the time period T, and L is equal to L1+L2+...Lt; and P is the accumulated pulse count in the time period T, namely the accumulated sum of all the pulse counts per second in the time period T, and P is equal to P1+P2+...Pt. The method has the advantages that the method is used for automatically computing and matching the vehicle pulse factor and correcting errors of the vehicle pulse factor of the GPS vehicle travelling data recorder and the accuracy of the computed vehicle pulse factor is high, thus improving the accuracy of computing the vehicle travelling speed and travelling distance via the vehicle pulse factor.