9results about How to "Way accurate" patented technology

The embodiment of the invention discloses a household appliance fault diagnosis method, terminal equipment and a server. The terminal equipment execution method comprises the following steps: acquiring fault description data input by a user; sending a first query instruction to a server, wherein the first query instruction is used for instructing the server to query target knowledge from a knowledge base according to the fault description data; the knowledge base is generated according to a fault tree structured file, the fault tree structured file comprises at least one fault tree associated with the target household appliance, the fault tree comprises a plurality of nodes, and the nodes are configured with a fault representation image, a fault log, a repair mode and a fault phenomenon corresponding to one fault type; generating prompt word information according to the fault description data and the target knowledge and sending the prompt word information to a server; displaying corresponding response content on the man-machine conversation page according to response information sent by the server; the response information comprises the fault type and the recommended repair mode of the target household appliance. Therefore, the fault diagnosis accuracy and the fault repair efficiency of the household appliance can be improved.

The invention discloses a closed-loop training device and a closed-loop training method for an in-vitro neural chip to control obstacle avoidance of a trolley, and belongs to the field of neurobiology and in-vitro brain-computer interfaces, and the closed-loop training device shapes a biological neural network structure and regulates and controls a discharge mode in a closed-loop training mode, so that the device makes a correct decision in different obstacle situations to control obstacle avoidance of the trolley. According to the device, by means of sensory electrical stimulation coding, the neuron culture can'sense 'the obstacle condition faced by the trolley in the environment, and then motion control over the external trolley is achieved by collecting and decoding the discharge signals of the neuron. According to the method, training electrical stimulation is adopted to provide feedback for a neural network, a system applies reward or punishment electrical stimulation to the neural network according to whether a trolley successfully avoids an obstacle or not, a synaptic structure and a discharge mode of the neural network are adaptively shaped and optimized, and the safety of the trolley is improved. And a network structure capable of autonomously controlling the trolley to avoid obstacles in different obstacle environments is gradually formed.

The invention relates to the field of paperboard processing, in particular to an intelligent paperboard stacking machine for logistics transportation, which comprises a conveying assembly, a first support frame, a second support frame, a fixing rod, a first connecting rod and the like, a first supporting frame is installed on the conveying assembly used for conveying a long paperboard. A second supporting frame is mounted on the conveying assembly; two fixing rods are fixedly connected to the first supporting frame; each fixing rod is connected with a first connecting rod; the first connecting rod is connected with the first supporting frame. When the long paperboards are put down for stacking, the left ends of the long paperboards firstly make contact with the surface of the second conveying belt and then are completely placed on the second conveying belt from left to right, the placing stability of the long paperboards is guaranteed, the long paperboards are directly put down horizontally compared with the long paperboards, the area of the long paperboards is large, and the stacking efficiency is improved. And when the long paperboards are put down, the air resistance on the bottom surfaces of the long paperboards easily enables the long paperboards to deflect and misplace, so that the mode of stacking and placing the long paperboards is more accurate, and the stability is better.

The invention belongs to the technical field of intelligent network models, and particularly relates to a twin network-based bamboo strip conjugation method, which comprises the following steps of S1, constructing a twin network-based CGF-Siam network model; the CGF-Siam network model comprises a curve gradient fusion CGF module, a trunk feature extraction network and a similarity scoring SS module; the SS module is used for evaluating the similarity between the edge contour curves of the bamboo slag ports on the two input images based on the output of the trunk feature network; s2, based on the conjugated edge profile curve of the bamboo strips containing the upper profile curve and the lower profile curve, constructing a data set of conjugation of the bamboo strips; s3, training a CGF-Siam network model by using the bamboo strip conjugate data set; and S4, the trained CGF-Siam network model is used for carrying out actual conjugation on the bamboo strip slag openings. According to the method, the bamboo strips can be efficiently and accurately conjugated, and the conjugation difficulty is effectively reduced.

System (1) for supplying hydraulic pressure to a bolt elongation tool (2, 41), comprising the bolt elongation tool (2, 41) with at least one pressure chamber (3) and a tool piston (12), a hydraulic medium supply system (7) and a hydraulic actuator with an actuator cylinder (5) housing an actuator piston (6). The actuator cylinder (5) is attached to the at least one pressure chamber (3), wherein the hydraulic actuator is an electro-hydraulic actuator (4) comprising an electric motor (13) built to generate the power of the electro-hydraulic actuator (4), and wherein the actuator piston (6) is built to supply, with one stroke of an actuator stroke height (39) of the actuator piston (6), at least the amount of hydraulic pressure that is needed to move the tool piston (12) for the amount of one tool stroke height (38) of the tool piston (12).

The utility model discloses a detection device based on 3D line laser camera, wherein, a kind of detection device based on 3D line laser camera, including workbench, support frame, transmission gear plate and top wheel assembly, workbench is used to support the plate piece of detection, the workbench is rotatably connected in support frame, transmission gear plate is slidably connected on the lower side of workbench, transmission gear plate is hinged with transmission plate between support frame, the support frame is hinged with adjusting electric cylinder between transmission plate, top wheel assembly is used to cooperate workbench overturn and work, the top wheel assembly is set in the lower side of workbench.The utility model technical scheme, to optimize work flow, also greatly reduce the work burden of worker.

The invention relates to a large-scale frost heave test system for coarse-grained soil. Currently, most of the research on frost heave test devices focuses on fine-grained soil, while there is little research on frost heave of coarse-grained soil. A large-scale frost heave test system for coarse-grained soil comprises: a base constant temperature water supply system, a temperature monitoring system, a top freezing system and a frost heave deformation monitoring system; in terms of freezing mode, a unidirectional freezing test under more accurate water supply conditions is achieved by freezing a refrigeration top plate (9), a hollow test cylinder (5), a bottom constant temperature device (4), a first and a second water bath refrigerator (15) (20) and a bottom water system; in terms of frost heave deformation monitoring, a digital display dial gauge (16) is used to accurately and automatically monitor the frost heave deformation of the soil, thereby improving the automation and accuracy of the test; the invention is applied to the field of frost heave test of coarse-grained soil, and provides certain support for frost heave problems in projects such as roads, buildings, and water conservancy.

The present invention relates to the field of radio frequency technology, and discloses a coaxial connection device, a detection method and a control system for high-frequency current detection. The coaxial connection device body has a coaxial connection structure and a shielding layer jacket; a detection shunt resistor, which is embedded in series on the shielding layer jacket and is used to detect the radio frequency current flowing through the coaxial connection device; a resistance shielding layer, which is arranged in the concentric inner and outer circles of the detection shunt resistor, is used to shield the high-frequency radiation from the core conductor of the coaxial connector and the external interference radiation, wherein one end of the resistance shielding layer is connected to one end of the detection shunt resistor, and the other end is suspended; an impedance matching element, which is connected to an output end of the detection shunt resistor, is used to match the input impedance of the subsequent circuit or detection instrument equipment; and a signal output end is used to output the detected current signal through a small coaxial connector or lead. The problems of accuracy, power consumption, temperature drift and impedance matching in high-frequency current detection are solved, and high-precision detection of high-frequency current is achieved.

The utility model discloses a graphics card support, which relates to the technical field of supports, and comprises a support piece and an electronic level meter, the support piece is positioned below a graphics card and can support and support the graphics card, the electronic level meter is movably arranged on the support piece, when the support piece supports the graphics card, the electronic level meter is placed on the graphics card, and the electronic level meter is arranged on the support piece. Whether the display card is in a horizontal state can be known. According to the display card support, in the process that the display card is supported and adjusted by the display card support, a user can be accurately helped to judge whether the display card is in a horizontal state or not through the electronic level meter, and compared with an existing mode of completely depending on subjective judgment of the user in vision, the mode of using the electronic level meter is more accurate; and the display card support effectiveness of the display card support is ensured.