15results about How to "Solving automation problems" patented technology

The invention provides a textile defect classification detection method, which comprises the following steps: adjusting the radiation intensity of an X-ray source according to a textile yarn movement speed parameter and the receiving sensitivity of a detector, and obtaining a high-resolution and high-signal-to-noise-ratio yarn perspective image sequence through a high-speed image acquisition system; inputting the multi-dimensional defect feature vector into a pre-trained support vector machine classifier, performing preliminary judgment on the yarn defect type, and if the classification confidence is higher than a preset threshold, determining the defect type; if the defect category is a fiber fracture defect, calculating the position of a fracture point and the fracture severity through a fracture degree quantification method, if the defect category is a fiber entanglement defect, analyzing the size and density distribution of an entanglement area, and if the defect category is an impurity defect, estimating the size of impurity particles.

Along with promotion of industry 4.0 and rising of intelligent manufacturing, an industrial decision support system plays a more and more important role in improving enterprise operation efficiency and market competitiveness. The invention provides an industrial decision support system based on big data and artificial intelligence technology, and aims to provide accurate decision support for enterprises through deep analysis and real-time processing of massive industrial data. According to the system, by integrating an advanced data acquisition technology, monitoring and data capturing of the whole process of industrial production, including but not limited to production equipment states, process parameters, quality control, supply chain information and the like, are realized. By using artificial intelligence algorithms such as machine learning and deep learning, the system can identify a mode and predict a trend from complex data and construct a corresponding decision model. In addition, a built-in operation optimization engine of the system can provide an optimal solution for production planning, inventory management and resource configuration based on a data analysis result. Through an intuitive user interaction interface, a decision maker can easily obtain key business insights and intelligent decision suggestions so as to make a quick response in a continuously changing market environment. The industrial decision support system not only can improve the production efficiency and the product quality, but also can help an enterprise to reduce the operation cost, avoid potential risks, and promote the enterprise to transform to intelligence and digitization.

The invention provides an unloading operation exception handling method, which is applied to an unloading operation control system, and comprises the following steps: respectively sending a first moving instruction and a second moving instruction to a first robot and a second robot through a remote control center so as to enable the second robot to move to an unloading initial position in an operation space; information, fed back by the second robot, whether the interior of the working space is abnormal or not is received, and if not, a telescopic conveyor or a telescopic roller conveying line is started; and if abnormity exists, after corresponding processing is carried out according to the abnormity type, an unloading task is sent to the second robot, and a stacking task is sent to the first robot. Therefore, abnormity occurring in the unloading process can be handled in time, it is guaranteed that unloading operation is carried out smoothly, the flexibility is high, the limitation of the arm extension length of the robot and the operation range of a mechanical arm is broken through, unstacking and stacking of goods in a narrow space are achieved, manual labor is replaced, automation is completely achieved, and the loading efficiency is effectively improved.

The invention relates to the technical field of fruit tree branch pruning, and in particular to a mobile double-arm fruit tree pruning robot, comprising a crawler drive device, a supporting platform, a base, a machine body, a column, a pruning system, a control system and a visual recognition system, wherein the crawler drive device plays a supporting role, drives the robot to move, reduces the movement turning radius of the robot, has a strong obstacle-crossing ability, and solves the problems that a wheeled chassis is easy to slip on soft or muddy roads, has a large turning radius, and occupies a large walking space; the arrangement of the machine body and the column can prevent electronic components from being wetted by rain, and the use is safer; the control system identifies branches to be pruned, thereby controlling the pruning system to perform automatic pruning, thereby realizing automatic and intelligent pruning of fruit tree branches, improving the efficiency of pruning, and reducing the labor intensity of pruning, and the robot is suitable for popularization and use.

The invention relates to the technical field of bearing grinding, and discloses grinding equipment for bearing manufacturing and machining, which comprises a first bottom plate, a second bottom plate and a connecting ring, and limiting rotating parts are arranged on the two sides of the upper surface of the second bottom plate; and the limiting rotating part comprises a first electric sliding rail, a sliding bearing plate, a T-shaped connecting plate, a first gear, a first servo motor, a second gear, a connecting shaft, a cross plate, a bearing moving plate, a connecting inclined plate, a bearing block, an abutting block, a connecting rectangular block and an anti-skid abutting pad, and the bottom of the first electric sliding rail is fixedly connected with the upper surface of the second bottom plate. According to the grinding equipment for bearing manufacturing and machining, through arrangement and use of a first electric sliding rail, a sliding bearing plate and a T-shaped connecting plate, the position of a connecting ring can be driven to move, so that the effect of limiting bearings of different sizes can be achieved, and the problem of how to conduct limiting and abutting connection on the interiors of the bearings of different sizes is solved; and the effect of high stability during bearing grinding can be achieved.

The invention provides a five-day biochemical oxygen demand sampling bottle, and belongs to the technical field of full-automatic analysis, the five-day biochemical oxygen demand sampling bottle specifically comprises a bottle body and a bottle cap, the bottle body is a dissolved oxygen bottle, a rotor is placed in the bottle body, the rotor is matched with a magnetic stirring device for use, a gas pipeline is nested on the bottle cap, and the upper end of the gas pipeline extends to the outer side of the bottle cap; the lower end of the gas pipeline extends to the bottle bottom, a self-locking pneumatic connector is arranged at the upper end of the gas pipeline, and the tripping end of the self-locking pneumatic connector is an aeration pipeline insertion opening. A honeycomb-shaped gas outlet head is arranged at the lower end of the gas pipeline, a first one-way valve is arranged in the middle of the gas pipeline and points to the inside of the bottle body, a through vent hole is formed in the bottle cap, and a second one-way valve is arranged in the vent hole and points to the outer side of the bottle body. According to the processing scheme, the labor cost is remarkably reduced, the personal error is reduced, and a solid foundation is laid for the accuracy and reliability of the BOD5 analysis result.

The invention discloses a rotary washing device for high-strength composite fiber production and a rotary washing method thereof, and relates to the technical field of high-strength composite fiber production.The rotary washing device comprises a shell, a mode switching assembly and a rotary washing assembly.The top of the inner wall of the shell is provided with a water inlet and a water outlet, and the bottom end of the inner wall of the shell is provided with a fixing support; a rotary washing assembly is fixed to the center of the fixing support, a motor and a mode switching assembly are connected to the outer side of the bottom end of the rotary washing assembly, and the mode switching assembly is used for controlling the composite fibers to conduct processing mode switching between the drying assembly and the rotary washing assembly. By installing the mode switching assembly, free movement of raw materials in the rotary washing assembly and the drying assembly is achieved, and the problem that due to the fact that rotary washing and drying cannot be integrated, the raw materials are consumed, and side effects are caused is solved.

The application discloses an agent prompt word derivation method and system and a storage medium, and belongs to the technical field of language processing. The method comprises the following steps: performing intention analysis on user input information through a main model to obtain an initial task abstract; determining whether the logic of the initial task abstract is complete through an auxiliary model; if not, revising the initial task abstract through the main model to obtain a target task abstract; converting the target task abstract into a structured prompt word through the auxiliary model; evaluating and optimizing the structured prompt word based on a domain knowledge database to obtain an optimized prompt word; performing compliance filtering on the optimized prompt word to obtain a compliant prompt word; evaluating the complexity of the compliant prompt word through a lightweight evaluation model to obtain an evaluation result; if the evaluation result is simple, calling an expert model to generate text content according to the compliant prompt word; and if the evaluation result is complex, calling a large language model to generate text content according to the compliant prompt word.

The invention relates to an unmanned ship prediction tracking control method and system based on a GRU disturbance observer, and belongs to the field of ocean intelligent equipment control. The method comprises the following steps: constructing an unmanned ship kinematics model and an unmanned ship dynamics model; transmitting sensor data to the unmanned ship kinematics model and the unmanned ship dynamics model, and calculating an actual disturbance value; and obtaining an unmanned ship linearization model according to the constructed GRU disturbance observer model, and obtaining a target control quantity for the unmanned ship linearization model through a model prediction control strategy. The method solves the problems that the accuracy of tracking the expected path by the unmanned ship is reduced and the course error is increased due to low prediction precision of model prediction control.

The utility model discloses a motor rear cover feeding mechanism, include: frame, index turntable mechanism, motor body rest, lift translation mechanism, transverse floating adjusting mechanism and adsorption mechanism, index turntable mechanism rotatory installation in the frame, index turntable mechanism includes a plurality of rear cover containing frock that equal interval distribution is along the circumference, the rear cover containing frock is suitable for carrying the motor rear cover of stacked arrangement, index turntable mechanism is equipped with work station, motor body rest sets up in the frame, lift translation mechanism installs in the frame, lift translation mechanism is equipped with moving platform, transverse floating adjusting mechanism installs in the moving platform of lift translation mechanism. The utility model can complete the material taking and assembly of motor rear cover, reduces the position error in the assembly process, improves assembly accuracy and production efficiency, and has the characteristics of convenient maintenance simultaneously.

The present invention discloses a smart campus security management and control platform based on big data technology. Based on the protection objects of the smart campus construction system, it follows the principles of safety and reliability, dynamic compatibility, integrated innovation, convenient management, coexistence of advanced and standard, and multiple protections. With data security as the core, it builds a cloud + terminal + boundary interconnected network security ecosystem, which has risk identification ability, security defense ability, security detection ability, security response ability and security recovery ability, and ultimately achieves the security goals of risk visibility, active defense, and automated operation, ensures the safety of school business, promotes the in-depth construction of smart campuses, and enhances the application of smart campuses.

The invention provides a loading operation control method, which is applied to a loading operation control system, and comprises the following steps of: respectively sending a first moving instruction and a second moving instruction to a first robot and a second robot through a remote control center, so that the second robot is positioned in a specified operation space when executing loading operation; a telescopic conveyor or a telescopic roller conveying line is started, and an unstacking task is sent to the first robot; the first robot executes an unstacking task after receiving a placement signal fed back by the telescopic conveyor or the telescopic roller conveyor line; and a loading task is sent to a second robot, and the second robot executes the loading task after receiving a grabbing signal fed back by the telescopic conveyor or the telescopic roller conveying line. Therefore, the limitation of the arm extension length of the robot and the operation range of a mechanical arm can be broken through, the problem of unstacking and stacking of goods in a narrow space is solved, manual labor is replaced, automation is completely achieved, and the loading efficiency is effectively improved.

The present invention relates to the field of wafer production technology, specifically to an automatic wafer conveyor, comprising an equipment box and two groups of cassettes, one group of cassettes is filled with wafers, and the other group of cassettes is an empty cassette, two groups of cassette positioning structures are arranged on the top of the equipment box; a detection mechanism is arranged on the top of the equipment box, and the detection mechanism is used to detect the orientation of wafers in the cassettes filled with wafers; a pushing mechanism is arranged on the top of the equipment box, and the pushing mechanism is used to transfer the wafers in the cassettes filled with wafers to the other group of empty cassettes. When the wafers are transferred, the present invention can accurately position the cassette through the cassette positioning structure, and then detect the position of the wafers in the cassette through the detection mechanism to avoid wafer misalignment, and finally realize the transfer of the cassette through the pushing mechanism. The whole transfer process is simple and easy to operate, and automatic wafer transfer is realized, and the wafers can be detected to avoid wafer misalignment and damage to the transferred wafers.

The utility model provides an automatic laser marking press for a hub dust cover, which comprises a rack, a mounting plate arranged on the rack to form a marking station, a marking head shield arranged at the top of the rack, and a laser marking head positioned above the marking station in the marking head shield, a conveying assembly used for continuously conveying workpieces to the position below the marking station is arranged above the mounting plate. A lifting assembly used for jacking a workpiece to a marking station and a blocking assembly used for limiting the workpiece are arranged in a mounting hole of the mounting plate. A guide rod assembly used for limiting a workpiece, a plug pin assembly used for positioning the workpiece located on the lifting assembly to the marking station and an inductor used for identifying the type of the workpiece are arranged on the portion, located at the marking station, of the rack. According to the utility model, the hub dust covers of different models can be accurately positioned, so that the automation problem of laser engraving of the dust covers of different models is solved, and the working efficiency is improved.

This invention provides a wood cutting machine, including a negative pressure conveying device and a cutting device. The cutting device includes a support, a crossbeam, a first drive mechanism, a working arm, a second drive mechanism, and a cutting mechanism. The crossbeam is vertically and vertically mounted on the support; the working arm is horizontally and horizontally mounted on the crossbeam; and the cutting mechanism is mounted on the working arm via an angle adjustment structure. In use, the first drive mechanism drives the crossbeam to move vertically, the second drive mechanism drives the working arm to move horizontally, and the angle adjustment structure drives the cutting mechanism to swing within a preset angle range. This invention, through the coordinated operation of the first drive mechanism, the second drive mechanism, and the angle adjustment structure, achieves motion control of the cutting mechanism in three dimensions: vertical, horizontal, and angular. It can adapt to complex cutting needs, avoids dimensional deviations and roughness problems caused by manual cutting, reduces reliance on operator experience and skills, avoids extensive manual intervention, and reduces labor intensity.