35results about How to "Avoid high dependency" patented technology

The invention discloses a SLAM closed loop detection method based on a particle swarm optimization algorithm, and mainly solves the problems that a Bag-of-Word method in the existing closed loop detection technology is complex in an offline training process; the detection method comprises the following steps: 1, determining whether an obtained current frame image is the key frame image or not; 2,calculating descriptors of the current key frame image; 3, determining whether the current key frame image is the first frame key frame image or not; 4, creating a frame image description sub-library;5, expanding the frame image description sub-library; 6, determining whether the key frame image number in the frame image description sub-library equals to 50 or not; 7, obtaining the optimal frameimage; 8, matching the current key frame image with the optimal frame image; 9, determining whether the violence matching pair number equals to 25 or not; 10, outputting the optimal frame image satisfying closed loop conditions.

The invention relates to a buoyancy type mounting method for an offshore boosting station, which aims to be safe and high-efficiency, save expense and have low requirements on ship machines and equipment. The technical scheme includes that the buoyancy type mounting method for the offshore boosting station is characterized by comprising steps of a, building the offshore boosting station on the land; b, sliding the offshore boosting station on a barge, conveying the offshore boosting station to a specified mounting position, judging whether the bottom of a support of the offshore boosting station is higher than the top end of a foundation or not, executing a step d if the bottom of the support of the offshore boosting station is higher than the top end of the foundation, and executing a step c if the bottom of the support of the offshore boosting station is not higher than the top end of the foundation; c, controlling the barge to ascend; d, leading the barge to move into a gap of the middle of the foundation and positioning the barge; e, controlling the barge to descend, placing the support of the offshore boosting station on the foundation, simultaneously, leading the barge to continue descending until the barge is separated from the offshore boosting station, and then dragging the barge out from the bottom of the offshore boosting station; and f, welding the support with the foundation. The buoyancy type mounting method is applicable to the field of offshore wind power generation.

The present application relates to a contact vibration photon sensor utilizing the Doppler effect and a manufacturing method thereof. A contact vibration photon sensor utilizing the Doppler effect, comprising an outer encapsulation layer (9), and the outer encapsulation layer (9) also includes: a silicon-based material (1) and a mirror body (2); the silicon-based material (1) A cavity (11) formed by surrounding the side wall (10) including a side wall (10) and a top opening; the mirror body (2) is arranged in the cavity (11), and the mirror body ( 2) The top has a mirror layer (21), and the side of the mirror body (2) is connected to the side wall (10) through a cantilever beam (22), and the cantilever beam (22) is spring-shaped. The contact vibration photon sensor of the present application utilizes the Doppler effect to provide accurate precision, uses a spring-shaped cantilever beam, can increase the amplitude of the mirror body (2), and improves the sensitivity of the sensor when sensing vibration.

The invention provides a knowledge base question and answer method in the electric power field, including: performing part-of-speech tagging and syntactic analysis on the questions obtained in the electric power field to obtain the question sentence representation of the electric power field question; based on a pre-built key phrase recognition model Identify the question expression of the question in the electric power field, and obtain the key entities and key attribute phrases of the question in the electric power field; based on the key entities and key attribute phrases, search in the knowledge base of the electric power field to obtain the question. The key phrase recognition model includes: training the open domain question to obtain key entities and key attribute phrases corresponding to the open domain question, and the present invention avoids the high dependence on terms in the power domain model training in the prior art , the knowledge base question answering in the electric power field can be realized only by using the readily available open-domain resources.

The invention discloses a full-color video display correction processing method and system. The correction processing method comprises the steps that a video signal source respectively outputs a standard full-red measuring signal, a standard full-green measuring signal and a standard full-blue measuring signal to display equipment; a chrominance gauge collects the color coordinate and the brightness value of each pixel point in a specific display area; color space conversion is conducted on the color coordinate and the brightness value of each pixel point so as to generate tri-stimulus values; the average tri-stimulus value is calculated; the average tri-stimulus value is expressed by the adoption of the visual mode of a CIE1931 color space chromaticity diagram; a mouse dragging signal of a user is received so as to obtain set color coordinates and set brightness values; color space conversion is conducted on the set color coordinates and the set brightness values so as to generate set tri-stimulus value; a conversion matrix is calculated; after the video signals are received, the video signals are multiplied with the conversion matrix, and the processed video signals are sent into the display equipment to be displayed. By the implementation of the technical scheme, the picture colors displayed by the different display equipment are uniform.

The invention discloses a pressurized self-balancing grinding machine with ultra-large rolls. The pressurized self-balancing grinding machine comprises a seat and a grinding ring arranged on the seat, wherein a grinding roll component is arranged in the grinding ring; the grinding roll component is driven to work through a central rotor arranged at the central position of the seat; the grinding roll component is composed of an inner grinding roll and an outer grinding roll in a sleeving manner; a rotary bearing is arranged between the combined surfaces of the inner grinding roll and the outer grinding roll; a shaft hole is horizontally formed in a central rotor located in a central hole of the inner grinding roll; the two ends of a rotary shaft arranged in the shaft hole in a penetrating manner extend to the sidewall of the inner grinding roll; and inner grinding roll thrust devices are arranged in blind holes which are symmetrically formed in central rotors located at an upper position and a lower position of the rotary shaft in a staggered manner respectively. The pressurized self-balancing grinding machine disclosed by the invention is ingenious and reasonable in structure, and gets rid of the design limit that the size of the grinding roll component of the grinding machine cannot be greater than 1 / 2 of the diameter of the grinding ring; the diameter of the grinding roll component theoretically can be close to the dimension of the inner diameter of the grinding ring; and compared with the traditional structure, the grinding roll component with an ultra-large structure is capable of achieving much engaging-in of materials, high in efficiency, and high in yield.

The invention discloses a travelling safe guarantee dispatching method and system for an electric power tunnel routing inspection robot. The method comprises the steps that a dispatching center collects robot position information through a position collecting device mounted on the robot and monitors the position of the robot in real time; when it is found that the robot moves to the position awayfrom a firefighting door by a first set range, the dispatching center collects the open-close state of the current firefighting door through a monitoring terminal; the dispatching center determines the open-close state of the firefighting door for the first time; according to the open-close state of the firefighting door, the dispatching center sends an open-close instruction to the firefighting door through the monitoring terminal, and meanwhile the dispatching center sends an instruction of advancing continuing or stopping to the robot; if the robot continues advancing, when the position collecting device of the robot collects the information that the robot enters into a second set range of the firefighting door, the robot communicates with a controller of the current firefighting door,and the robot determines the open-close state of the firefighting door for the second time; and according to the open-close state of the firefighting door, the robot sends the instruction of advancingcontinuing or stopping to the robot.

The invention provides a method for obtaining RCS precision of a radar corner reflector. Aiming at the limitation of a conventional radar corner reflector RCS precision measuring method, the method comprises the steps of: utilizing a three-dimensional measuring instrument to obtain a precise three-dimensional model of the radar corner reflector to be detected; then utilizing an RCS emulator to calculates a RCS of the three-dimensional model of the radar corner reflector to be detected; and finally comparing the RCS with an RCS theoretical value, and measuring the deviation degree of the practical RCS of the radar corner reflector to the RCS theoretical value. According to the invention, the method is better than a radar direct measuring method and a geometric calculation method in flexibility and precision, the cost is not increased too much, and the popularization and application value is relatively good.