39results about How to "Eliminate positioning effects" patented technology

The invention discloses a supporting structure for electric reactor embedded parts. The supporting structure comprises an electric reactor foundation formwork of a cylindrical structure. Hanging bracket supporting frames are uniformly distributed on the outer side of the electric reactor foundation formwork and are higher than the electric reactor foundation formwork. Embedded part hanging brackets are supported on the hanging bracket supporting frames. Hanging bracket connecting plates are arranged at the ends of the embedded part hanging brackets and detachably connected with the electric reactor embedded parts. A plurality of anchors are arranged at the bottoms of the electric reactor embedded parts which are located within the spatial scope of the electric reactor foundation formwork. The hanging bracket and supporting frame mode is adopted for fixing and positioning the plain concrete foundation embedded parts, positioning is accurate, displacement is not prone to occurring, the supporting frames and the foundation concrete formwork are not connected at all, and influences of concrete pouring on the positions of the embedded parts can be effectively controlled.

The invention relates to the technical field of positioning a magnetic field. An improved SAGD (steam assisted gravity drainage) algorithm based on Kalman filtering comprises the following steps of: 1, selecting a plurality of target points as reference points relative to navigation positioning, wherein the interval space of the target points is four times of a predetermined double well distance Delta1; 2, placing a magnetic sensor at the target point of which the footage is z2, the drill footage z1 is changed to the position of z2+2Delta1 from z2-2Delta1, recording field data of the whole operating distance by the magnetic sensor, and inputting a magnetic field model; 3, calculating according to the known double well footage z1 and z2 to obtain a plurality of r values; 4, resolving a plurality of vertical bias angles Theta of two opposite wells according to the magnetic field model; 5, inputting the r and Theta values of a plurality of measuring points into a Kalman filter, and performing next precasting according to a certain state transition rule; and 6, performing filtering updating on r and Theta to obtain filtering evaluate, and repeating steps 5 to 6 until all the measuring points are input, and the filtering evaluate is the final positioning result. By the method, the continuity and anti-noise and anti-interfere performance in drilling process can be guaranteed.

The invention discloses a fingerprint positioning method and server, which divides the positioning coverage area into several sub-areas in advance according to the building pattern, and establishes a fingerprint database according to the fingerprint information of the known position reference points of each sub-area under various traffic conditions. . In the actual positioning process, first determine the matching fingerprint database, then compare the current fingerprint information with the fingerprint information in the determined fingerprint database, select several reference points with the most similar fingerprint information, and perform weighted average on the positions of the selected reference points , as the current location of the terminal to complete the positioning. Since a rich fingerprint library is established according to the architectural pattern and human flow, and the matching fingerprint library is selected for comparison, the influence of building and human flow density on positioning is eliminated, the accuracy of fingerprint positioning is improved, and the environmental protection is improved. applicability.

The invention relates to a cracking method machining technology of an engine connecting rod. A large-end hole machined in a connecting rod blank is a round hole; the connecting rod blank where the large-end hole is machined is separated into a connecting rod body and a connecting rod cover in a cracking manner; the joint faces of the connecting rod body and the connecting rod cover are cracking faces which are not subjected to cutting machining; and connecting and locating between the connecting rod body and the connecting rod cover are achieved through engagement of the joint faces of the connecting rod body and the connecting rod cover. A connecting rod cracking device for connecting rod cracking comprises a vertical rack and a workbench mounted on the vertical rack, and further comprises an upper machine head and a lower machine head. The upper machine head is provided with an upper wedge part and an upper cracking pushing force mechanism used for driving the corresponding wedge part to move up and down, and the lower machine head is provided with a lower wedge part and a lower cracking pushing force mechanism used for driving the corresponding wedge part to move up and down. Extrusion force formed by opposite movement of the upper edge part and the lower wedge part is used for achieving connecting rod cracking. By means of the method of the technology, the cracking difficulty is reduced, the quality of the connecting rod obtained after cracking is guaranteed, production procedures and manufacturing cost are reduced, and good economical benefits are achieved.

The invention discloses a knife gate state recognition method based on improved deep learning, comprising the following steps: obtaining a training model; predicting an input image through the training model to obtain the probability of a prediction frame; using a sliding window strategy to select a candidate area and obtain a label; The candidate area is deleted to obtain the candidate rectangular frame; the candidate rectangular frame is fitted with a straight line to obtain an accurate rectangular frame; the state of the knife switch and insulator in the precise rectangular frame is judged to complete the identification of the knife switch state. The present invention adopts the convolutional neural network improved by the pooling strategy based on space weighting to obtain the training model on the image set; then the potential position of the insulator and the switch is detected through the training model, and a variety of switches are identified according to the connectivity with the insulator The closed or disconnected state of the switch can accurately locate the position of the insulator and the switch, and significantly improve the accuracy of the status recognition of the switch.

The invention discloses a single-particle filtering navigation device and method based on an MEMS (Micro-electromechanical System) sensor and VLC (Visible Light Communication) positioning fusion. The single-particle filtering navigation device comprises the MEMS sensor, an INS (Inertial Navigation System) module, a VLC positioning module, a PDR (Pedestrian Dead Reckoning) positioning module and an attitude determination positioning single-particle filtering module; in the single-particle filtering navigation device, an error equation based on INS inertial navigation mechanization is used as a system equation of a fusion filter and is used for updating particles of a particle swarm. An observation equation comprises updating of VLC positioning information, updating of PDR positioning information and updating of observation quantity of a magnetometer and is used for calculating the weight of each particle. Attitude information is output to the VLC positioning module and the PDR positioning module. According to the single-particle filtering navigation device and method, disclosed by the invention, the attitude information of a VLC receiver is accurately estimated for the first time in the field of VLC positioning by utilizing fusion attitude determination, so that the problem that the VLC positioning is easily influenced by the attitude of the receiver and the positioning is not continuous under the condition that a light signal is shielded is solved and influences, caused by the attitudes, on the VLC positioning are eliminated.