7results about How to "Realize information interaction" patented technology

The present application relates to production equipment, and provides a production system, which comprises an industrial robot, an AGV body loaded with a workpiece, an AGV scheduling module and a control module, the AGV scheduling module is configured to obtain a deviation signal of the AGV body relative to a work station, so as to control the AGV body to perform pose transformation relative to the work station; the control module is in communication connection with the industrial robot, the AGV body and the AGV scheduling module, and the control module is configured to control the AGV body to perform pose transformation relative to the work station according to the distribution of work points on the workpiece in the work area of the industrial robot, so as to transform the work points in the non-workable domain of the industrial robot to the workable domain of the industrial robot. The present application further provides an AGV pose transformation method and an automated production line. The AGV pose transformation station of the present application ensures the work accessibility of the industrial robot and improves the work precision.

The invention belongs to the technical field of electro-hydraulic control of underground coal mine tunneling equipment, and particularly relates to an intelligent control system of a tunneling and anchoring integrated electro-hydraulic system. Comprising a power supply module, a control driver and an intelligent valve control box, the power supply module is used for supplying power to the control driver and the intelligent valve control box; the control driver is used for outputting a PWM control signal; and the intelligent valve control box is connected with the control driver and is used for receiving the PWM control signal and controlling an electro-hydraulic control valve group connected to the output of the intelligent valve control box based on the signal so as to drive a hydraulic execution element to work. Intelligent management and information interaction of equipment operation are achieved, and high reliability of the system in a severe underground environment is ensured through the firm anti-explosion design of the system.

The application discloses a crane operating area overrunning early warning method and system based on a three-dimensional fence, belongs to the technical field of crane safety monitoring, captures full attitude data of the crane through a distributed monitoring mechanism, and constructs a three-dimensional scene model to set an initial fence, which covers a dangerous area and an operating range, reduces a monitoring blind area, dynamically updates the fence according to engineering progress and environmental data, avoids the defect that a fixed boundary is disconnected from construction advancement and environmental changes, ensures that a safety threshold always matches actual risks under different working conditions, predicts a future trajectory of the crane, judges risks in combination with the dynamic fence, compared with a traditional trigger type alarm, the early warning speed is faster, sufficient time is reserved for risk disposal, so that the probability of equipment collision and crane motion overrun accidents is greatly reduced, and the safety of crane operation is improved.

The invention provides a regenerated consumable box, a regenerated consumable box group and a processing method of the regenerated consumable box group, the regenerated consumable box comprises a box body and a chip assembly, the box body comprises a shell main body and a surface cover covering the shell main body, a hollow hole and a mounting position are arranged in the surface cover, and the chip assembly is arranged in the shell main body. The mounting position is positioned at one end, close to the shell main body, of the hollow hole; the chip assembly is detachably arranged at the mounting position, at least one part of the chip assembly is exposed outwards from the hollow hole, and a removal part is formed between the chip assembly and at least one part of the inner wall of the mounting position, so that the chip assembly can be detached from the mounting position along a first direction. The method is used for reducing the difficulty of regeneration treatment of the recycled consumable box, reducing the rejection rate and saving the production cost and the use cost of a user.

The utility model discloses AI fishing glasses, and belongs to the field of glasses. The pair of glasses comprises a pair of fishing glasses and a float which are electrically connected, and an electron emitter is arranged in the float. The fishing glasses comprise a glasses frame, lenses, a PCBA assembly, a motor unit and a sound assembly, the lenses are installed on the glasses frame of the glasses frame, the PCBA assembly, the motor unit and the voice assembly are arranged at the positions of glasses legs, and the voice assembly is used for receiving and transmitting voice. In addition, a camera with recording and camera shooting functions is arranged on the glasses frame, the lenses are liquid crystal electrical lenses capable of automatically adjusting light, the PCBA assembly comprises a main board, a charging hole and an operation touch key, the circuit board is provided with a 2.4 g network chip, the voice assembly comprises a loudspeaker, a communication hole and a sounding hole, a charging indicator lamp is arranged below the communication hole, and an anti-skid pad is installed at each glasses leg. According to the AI fishing glasses, the functions of intelligent bite reminding, multifunctional shooting, automatic dimming, convenient operation, communication and the like are achieved, and the fishing experience is improved.

The invention discloses a method for realizing spectral image blind fusion through degradation perception multi-order feature fusion Transformer, and the method comprises the steps: firstly, respectively designing a spatial degradation perception network SpaDNet and a spectral degradation perception network SpeDNet; in the SpaDNet, a two-way architecture is provided, the degeneration process of a smooth area and a structural area is decoupled, the unit direct current gain characteristic of space degeneration is ensured through mean value removal operation, and in the SpeDNet, the spectrum smooth attribute in the spectrum degeneration process is effectively adjusted by using a one-dimensional convolutional layer. Secondly, providing a loss function based on a subspace, and decoupling interference of spatial information when spectrum degradation information is explored; and finally, designing a feature fusion network to model space-spectrum cross similarity between a target image and an input image, gradually guiding HR-HSI reconstruction by using multi-order features of HR-MSI, and realizing information interaction between layered features between a space domain and a spectrum domain. According to the method, under the self-supervised closed-loop normal form, the HR-HSI high-precision reconstruction can be realized on the premise that the degradation information is not preset.