5 results about "Plant automation" patented technology

The utility model relates to the technical field of cleaning robot, and disclose a vacuum cleaning automatic cleaning robot, including cleaning robot, connecting pipe robot, relay robot and central cleaning dust removal system, the input of cleaning robot is provided with hose, the other end of hose is installed in the output of connecting pipe robot, central cleaning dust removal system is provided with a plurality of end pipe orifice, relay robot is set below the middle position of hose, and relay robot is located between cleaning robot and connecting pipe robot, the utility model discloses the combination of automatic floor cleaning robot and central vacuum cleaning system, realizes factory automation ground cleaning function, liberates the labor, and the factory environment is cleaned, and the health of worker is guaranteed, because using central dust removal system, automatic cleaning robot will not need to take dust box, filter and fan, the smaller noise when working, simple structure is easy to maintain, and it is more applicable to the harsh industrial environment.

This application relates to a one-button start-up device and method for a large natural gas boiler, belonging to the field of power plant automation control, to solve the problems of weak coordination among boiler systems and low level of start-up automation in existing technologies. The method includes: the DCS control platform sequentially triggers the steam-water, air-flue gas, combustion, and steam temperature control systems to start according to the process; each control system feeds back signals after completing its operation; finally, the DCS enters a load adjustment mode to automatically match the feedwater, fuel, and air volume. This application achieves fully automated boiler start-up through serial triggering feedback and closed-loop control, improving system coordination and start-up stability, and solving the problems of traditional reliance on manual operation and asynchronous parameter adjustments.

This invention provides an automated logistics collaborative operation system and scheduling method for plant factories. The system includes a three-dimensional cultivation storage area, a horizontal shuttle subsystem, a vertical transfer subsystem, a central processing station subsystem, and an intelligent scheduling and control station, forming a relay-style logistics topology combining multi-level shuttles and stacker cranes. The multi-level shuttles are responsible for horizontal storage and retrieval of overall cultivation units between cultivation rack layers; the stacker cranes are responsible for vertical collection and layer changing at the ends of the aisles. The two systems achieve spatiotemporal coordination through the intelligent scheduling and control station. Lateral flexible clamping mechanisms and anti-drip transport modes ensure the safety and cleanliness of live crops during high-speed transport. Combined with scheduling algorithms, the entire process from sowing, germination, and transplanting to harvesting and cleaning is automated, significantly improving the production efficiency and logistics throughput of plant factories and solving the problem of efficient and stable transport of massive cultivation units in high-density plant factories.

The application provides a kind of coal-fired power plant coal conveying sampling packaging operation and maintenance method and system combined with deep learning in the cross technical field of coal-fired power plant automation and artificial intelligence, the method comprises the following steps: step S10, a large number of historical multi-source heterogeneous data of coal-fired power plant are acquired to construct first, second, third and fourth data sets;Step S20, create a collaborative operation intelligent agent including a sampling strategy generation model, a packaging state detection model, a fault detection model and an intrusion detection model;Step S30, train the collaborative operation intelligent agent by the first, second, third and fourth data sets;Step S40, input the collaborative operation intelligent agent after preprocessing the collected real-time multi-source heterogeneous data, obtain the sampling strategy adjustment suggestion, the packaging state detection result, the fault detection result and the intrusion detection result, and then generate the comprehensive operation instruction.The advantage of the present application lies in: greatly improving the operation efficiency and safety and reliability of the coal conveying system.

The application discloses a software lag detection method and device, electronic equipment and program product, and relates to the technical field of semiconductor system software control. The method comprises the following steps: detecting a current response index, a current action index, a current resource index and a current thread index, and determining an abnormal time window; performing domain mapping on reference response indexes, reference action indexes, reference resource indexes and reference thread indexes corresponding to the abnormal time window; for a single domain, performing software lag detection on the reference response indexes, the reference action indexes, the reference resource indexes and the reference thread indexes to obtain a first abnormal index of the single domain; for a single domain, determining a comprehensive abnormal degree of the single domain according to the first abnormal index, and determining an abnormal domain in a user interface domain, a real-time control domain and a factory automation domain according to the comprehensive abnormal degrees of the user interface domain, the real-time control domain and the factory automation domain. The technical scheme of the embodiment of the application can improve the accuracy of semiconductor software lag detection.