762results about How to "Ensure accuracy and" patented technology

The invention discloses an electrical-information-acquisition-system-based theoretical line loss estimation method for a distribution network, and aims to overcome the shortcomings of great errors of the conventional theoretical line loss estimation method for the distribution network, difficulty in accurate analysis on the characteristics of load fluctuation, unbalance, harmonic distortion, parameter variation and the like of the distribution network, and the like. By the method, each loss influencing factor of a medium and low voltage distribution network can be scientifically, perfectly and comprehensively reflected; and compared with a 'root-mean-square current method', an 'average current method', a 'maximum current method', an 'equivalent resistance method' and the like for estimating line loss only according to the single line diagram of the distribution network, typical day 24 hours, asynchronous current recording data and the like in DL686-1999 guide of calculation of grid energy loss, the invention has more accurate algorithms, parameters, load data and the like for the theoretical line loss, and provides a novel concept and a novel method for the loss analysis and energy efficiency evaluation of the distribution network.

The invention discloses a numerically-controlled full-automatic retainer window grinding machine which adopts an integral high-rigidity anti-vibration casting machine body; a linear guide rail and a precision ball screw are mounted on the machine body; lengthwise movement saddles, slide seats and transverse adjustment sliding masses are mounted on the left side and the right side of the machine body respectively; high-speed grinding electric spindles are mounted on the sliding masses; a spindle component is mounted at the middle of the machine body; a clamping device component is mounted on the spindle component; conveying belts are mounted on the two sides of the rear part of the machine body; a mechanical hand is mounted at the rear upper part of the machine body; and a workpiece conveying plate is mounted on the outer edge of the left side of the machine body and used for conveying workpieces to the conveying belts. According to the invention, feeding and discharging are performed full-automatically during workpiece grinding, and the purpose that one person operates multiple machines can be achieved, so that both time and labor are saved, the manufacturing cost is lowered greatly, and the production efficiency is improved.

The invention discloses a virtual test system and test method for ship performance, and belongs to the technical field of ship performance tests. The virtual test system comprises a storing device, a tool device, a testing device and an operating platform, wherein the storing device and the tool device are positioned at the bottom layer, the test device is positioned at a supporting layer, and the operating platform is positioned at an application layer; and the test method comprises the following steps: the operating platform builds the sailing data model of a boat sailing in the waves and the environment data model of the sailing environment of the boat respectively according to the testing result of the test device, and builds the conceptual data model of a boat in actual sailing by combining the two simulation models. The technical scheme provided by the invention is that the building of the navigation performance virtual testing system truly reflects man-machine interaction when a ship sails, the testing level is improved, the testing period is shortened, the testing cost is lowered, the accuracy and instantaneity of the motion simulation are ensured, and the fidelity of the virtual testing is further improved..

The invention provides a robot joint driver with variable rigidity and relates to joint rigidity adjustment by utilizing a flexible rack mechanism. The flexible rack mechanism is connected between the output end of a rigid speed reducer and a joint connecting rod in series. A pair of rigidity adjusting mechanisms is anti-symmetrically arranged along the axial direction of a flexible rack, and accordingly forward and reverse joints are adjustable. Displacement of a gear relative to the flexible rack is solely confirmed through a turn angle of a rigidity adjusting motor by utilizing the flexible rack mechanism, accordingly a joint rigidity value is confirmed solely, and joint rigidity adjustment can be achieved by controlling the turn angle of the rigidity adjusting motor. The robot joint driver adopts the flexible rack mechanism, integrates an elastic link and the rigidity adjusting mechanisms and is short in adjusting time and compact in structure.

An embodiment of the invention discloses a filtering method and a filtering device for point cloud data. The filtering method comprises the steps of: converting the point cloud data into raster data, and acquiring the lowest point in each raster as the initial point; performing morphological opening operation on the raster data to obtain an initial terrain surface; for each initial point, determining the current initial point as a potential ground seed point if a difference value between an elevation value of the current initial point and a value of the target raster which the current initial point falls into; constructing an initial triangulation network model according to the potential ground seed point; and determining a ground point according to the initial triangulation network model based on an irregular triangulation network filtering algorithm. By adopting the filtering method and the filtering device, the ground seed point can be reasonably determined, and the filtering efficiency is improved while guaranteeing the accuracy and precision of the initial triangulation network model, thereby the ground point in the point cloud data can be screened quickly and accurately.

The invention provides a fuel cell vehicle multi-environment comprehensive heat management method. Different control modes can be adopted for different environment temperatures. In a normal-temperature environment mode, namely a first control mode, the accuracy and stability of temperature control can be ensured through a feedforward control and feedback control technology. In a second control mode and a high-temperature environment mode, a power system is adopted for cooperative control, so that the working current of a fuel cell is reduced, the efficiency of the fuel cell is improved, the heat production of the fuel cell system is reduced, and the problem of high heat dissipation pressure of a cooling system in the high-temperature environment is solved. In the second control mode and inthe low-temperature environment mode, the waste heat of the fuel cell system is fully utilized, and the energy consumption of a whole vehicle is reduced while the temperature of the fuel cell systemand the temperature in a compartment are guaranteed. Therefore, the accuracy and the stability of the temperature control of the fuel cell system can be ensured in a complex and changeable environmentall the year round, the energy consumption of the whole vehicle is greatly reduced, the economy of the whole vehicle is improved, and the driving range is increased.

The invention discloses an underground pipeline intelligent detection robot and an underground pipeline intelligent detection method. The underground pipeline intelligent detection robot comprises a mobile robot main body and a plurality of sensors. The underground pipeline intelligent detection method disclosed by the invention comprises the steps of: firstly calibrating relative positions and posture information between the sensors and the sensors and between the sensors and the mobile robot main body; then causing the mobile robot main body to move autonomously in a pipeline space, and obtaining, by the sensors, data in real time; calculating a precise position of the mobile robot main body in a data collection movement process; calculating data spatial positions of the sensors according to the position of the mobile robot main body and the relative positions and posture information of the sensors, and registering and fusing the data of different sensors to obtain fused multi-sourcespace data of the pipeline space; and finally intelligently identifying and extracting a geometrical shape and attribute status information of a pipeline from the fused multi-source sensor data, andmarking spatial positions for these information. The underground pipeline intelligent detection robot disclosed by the invention realizes automatic collection of underground pipeline status detectiondata and intelligent identification and extraction process of pipeline status information.

A magnetometer which is composed of digitization frequency-selecting amplifier circuit, digital control current source, single chip computer, clock circuit, communication circuit and relevant control software applies measuring method of frequency in equal period frequency division to carry on measurement for magnetic field intensity according to prin ciple of proton precession. It can carry out measurement for multitype component conbination of F, Z, H, Fe, FH, FHD and FZD under the condition of manual operation or automatic operation according to the setting and it can carry out some other functions based on above principle.

The invention belongs to a method for processing uniform ultra-sparse array antenna beam pointing fuzziness in the radar technology. The method comprises the steps of; performing initialization processing; performing directional transmission and reception by a first main lobe according to the set reference working frequency and two associated working frequency and pulse number in turn and performing comprehensive processing on the acquired three groups of target information so as to determine the existence of the target and removing pointing fuzziness caused by a grating lobe; when the target exists, inputting the angle and distance, speed and magnitude value of the target into a radar data processor together; and then repeatedly performing the processing on other main lobes so as to finish detection of the target on the pointing position of each main lobe. In the method, the angle range without grating lobe fuzziness is two times wider than that of two pieces of background technology and the array element number is reduced by over 50 percent, so that the method for the suppressing the uniform ultra-sparse array antenna beam pointing fuzziness is characterized in that: adverse impact of the grating lobe on the radar measured angle can be removed to the full extent; the antenna array element number and corresponding channel number of large-aperture uniform array radar are effectively reduced; the system cost is reduced, the application range is enlarged, and the like.

The invention discloses a construction method for pouring and forming an urban viaduct curve type pier stud in a one-off mode. The construction method includes the following steps of 1 positioning pier stud pre-buried main reinforcement, 2 chiseling the combined portion of a pier body and a pile cap, 3 staking out in survey, 4 putting up a scaffold, 5 machining and installing reinforcement, 6 machining and installing a formwork, 7 pouring concrete, 8 disassembling the formwork and curing, and 9 removing the scaffold. According to the construction method for pouring and forming the urban viaduct curve type pier stud in the one-off mode, the pier stud has the advantages of being fast to construct, reasonable in structure, economical, practical and the like and is widely applicable to an urban high-pier bridge, particularly an urban high-pier landscape bridge.

The invention provides an underwater robot used for submarine pipeline magnetic memory detection. The robot is mainly used for solving the problem that a conventional ROV cannot detect the bottom of the submarine pipeline particularly the bottom of the pipeline lying on the sea bed. The robot is characterized by comprising an ROV body, a spraying gun sand removal mechanism, a pipe attaching crawling clamping mechanism, a variable diameter sensor detection mechanism and a sediment leveling mechanism; the ROV body serves as a carrier to provide supporting and power for other devices, the spraying gun sand removal mechanism is used for cleaning sediment on a pipeline and the bottom, the pipe attaching crawling clamping mechanism is used for clamping pipelines with different diameters and achieving secondary cleaning, and it is ensured that universal rollers on a clamping jaw are tightly attached to the pipeline for crawling and cannot slip; the variable diameter sensor detection mechanismis used for achieving locking holding detection of a sensor for the pipelines of the different diameters. The robot can achieve full-cycle comprehensive non-dead-corner detection of submarine pipelines under the complex conditions of the deep water area, the sediment coverage and the like.

The invention discloses a numerical control retainer window grinding machine. According to the numerical control retainer window grinding machine, an integrated high-rigidity shake-proof cast machine body is adopted, a linear guide rail and a precise ball screw are arranged on the machine body, a longitudinal moving saddle, a sliding seat and a horizontal adjustment sliding body are arranged on the upper surface of the machine body, a high-speed grinding motorized spindle is installed on the sliding body, a spindle component is installed in the middle of the machine body, a clamping device component is installed on the spindle component, and then workpiece grinding accuracy and stability are ensured by means of the cooperation between full servo control longitudinal movement and high-frequency rotation of a workpiece spindle. The numerical control retainer window grinding machine has the advantages of being high in stability, saving in time and high in efficiency.

The invention disloses a steaming device for textile printing and dyeing and a steaming method thereof. The steaming device comprises a steaming box, a padder, a cloth guide roll, a cloth winding roll and a motor, wherein the motor controls the cloth winding roll by a transmission mechanism; the steaming box is provided with a cloth inlet and a cloth outlet; the box wall of the steaming box is provided with a hot air inlet and a steam inlet; the hot air inlet is communicated with a hot air pipeline connected with a hot air source; and the steam inlet is communicated with a steam pipe connected with a steam source. The steaming method of the device comprises the following steps of: mixing dry-hot air and saturated steam entering the steam inlet, using the generated high-temperature steam to carry out steaming on textile, and controlling the temperature and the humidity in the steaming box. By adopting the structure and the method, the steaming device and the steaming method have the following advantages that: 1) the extensive-form operating situation of the traditional steaming machine is changed, and online detection and intelligent control of parameters of a steaming process are realized; and 2) decoupling control is adopted for respectively compensating a temperature control loop and a humidity control loop, and automatic control can be carried out on two strong-coupling parameters such as temperature and humidity simultaneously.

The invention discloses a three-dimensional printing method based on DLP (digital light processing) projection photocuring. The method particularly comprises the following steps of: constructing a three-dimensional model of an object in advance, directly obtaining a cross section of each slice to be printed, and performing processing, area division and normal value judgment through corresponding units. The data distortion is reduced; the forming precision of printing data of the method is improved; areas to be printed and printing equipment with different performance are reasonably adapted, sothat the forming dimension precision and fineness of the object are guaranteed; and the forming efficiency is improved. In addition, the invention further discloses printing equipment adapted to thethree-dimensional printing method based on the DLP projection photocuring.

The invention discloses a tool abrasion state identification method based on a convolutional neural network and long-short-time memory neural network combined model. A force measuring instrument and an acceleration sensor are arranged on a workbench clamp of a numerical control machine tool and a workpiece, three-direction force signals and vibration acceleration signals are collected, collected data are subjected to data pre-processing, normalization processing and unified segmentation are conducted on the same row of data, one-dimension data are converted into two-dimension data to serve asinput, the convolutional neural network in the combined model is used for extracting abstraction features, the long-short-time memory neural network in the combined model is used for finding relevancebetween the data, and finally the tool abrasion state is output. An established double-network structure is arranged in a serial manner, the internal relation between the two kinds of signals can beestablished, the more abstract features are extracted through convolution, the timing sequence feature is determined according to the long-short-time memory, accordingly, the purpose of deeper relation of the data and the model is achieved, and applicability is achieved on various machine tools.

The invention discloses a gluing robot and a gluing method of the gluing robot. The gluing robot comprises a robot body, a glue gun, a gluing controller and a robot control device, wherein the robot control device is connected with the gluing controller and the robot body; and the glue gun is connected with the robot body and the gluing controller. Through the gluing robot and thegluing method, the gluing process can be completed automatically, and various modes of vehicles are glued at one station; and before gluing, the robot recognizes the modes of the vehicles to call the correct program initiatively to ensure the correctness and the accuracy of the robot gluing. Compared with the conventional gluing process, the automation of the gluing process is improved effectively, a hardware control system is simplified, the cost of the control system is lowered, and the flexibility of the control system is improved.

The invention relates to a method for measuring the parameter of an omega welding seam defect, in particular to a method for measuring the parameter of an omega welding seam defect, which is applied to a control rod drive mechanism of a nuclear power plant. The method adopts a welding technique estimation test piece of the omega welding seam to manufacture a contrast test block, adopts an automatic detection device containing an ultrasonic detection method and a vortex detection method to measure the parameter of the defect and judges the parameter of the defect integrally. The method can effectively measure the parameter of the omega welding seam defect of the control rod drive mechanism of the nuclear power plant accurately, provides data support for the preventive maintenance of the control rod drive mechanism, provides guarantee for the nuclear safety and is suitable for detecting the parameter of the welding seam defect in nuclear industry system.