9results about How to "Avoid no load" patented technology

The invention provides a photovoltaic array optimization generation method and device, electronic equipment and a storage medium, and the method comprises the steps: calculating a target inclination angle of a photovoltaic module unit in a target photovoltaic power station based on meteorological data and factory site geographic data of the target photovoltaic power station; obtaining an inverter type of a target photovoltaic power station, and determining a target number of photovoltaic module units connected with each inverter according to the inverter type; according to the factory site geographic data, calculating a target distance between the photovoltaic module units; and inputting the target inclination angle, the target number and the target spacing into an array optimization model for array optimization, and generating an optimized array of the target photovoltaic power station. Compared with the prior art, according to the embodiment of the invention, illumination absorption is maximized through the target inclination angle obtained through calculation, so that the power generation efficiency is improved; and the target inclination angle, the assembly number and the spacing are input into the array optimization model, so that a scientific basis can be brought to the design of the photovoltaic power station, and the overall performance and economic benefits of the system are further improved.

The application discloses a kind of based on thing networking's wisdom building energy consumption management and equipment monitoring system, belong to building intelligent management technical field.System uses layered distributed architecture, is composed of perception layer, network transmission layer, edge computing layer, platform application layer, terminal control layer;Perception layer realizes energy consumption, equipment, environmental global data acquisition, network transmission layer uses wired wireless dual-mode communication to guarantee data transmission, edge computing layer realizes local instant processing and emergency control, platform application layer realizes cloud big data analysis, visual management, intelligent strategy generation, terminal control layer realizes equipment automation regulation and control.The application overcomes the defects of traditional building management energy consumption waste, operation inefficiency, data isolation, insufficient intelligence, can realize building energy consumption accurate measurement, dynamic analysis, intelligent regulation and control, equipment full period monitoring, fault early warning, automation operation, effectively reduce building energy consumption, reduce operation cost, improve operation safety, applicable to various office buildings, shopping malls, communities, parks and other buildings, with excellent novelty, creativity and practicality, meet the development needs of green low-carbon building.

The invention discloses a path optimization and comprehensive scheduling method, system and device for classified transportation of urban garbage and a storage medium, and relates to the technical field of urban garbage treatment and intelligent scheduling, and the method comprises the steps: collecting basic geography and operation parameters, and vehicle and facility attributes to construct a comprehensive data table; generating an optimal traversal path covering collection points for each garbage type, and dividing the optimal traversal path into sub-paths according to vehicle load; the sub-paths are bound with the special vehicle, and the total transportation cost is calculated; a transfer station site selection decision is introduced, a secondary transportation network is planned, and cost and energy efficiency are optimized in combination with a time window and carbon emission constraint; an optimization result is converted into an instruction and a chart to be delivered to an operator, and transportation path optimization and scheduling are completed; according to the invention, the operation cost and carbon emission of garbage collection and transportation can be obviously reduced, the transportation efficiency and the service timeliness are improved by optimizing the vehicle collaborative scheduling and transfer station layout, and the double improvement of economic and environmental protection benefits is realized.

The invention discloses an offshore wind power and methanol synthesis system meeting a peak load, and relates to the technical field of offshore wind power. Comprising an offshore wind generating set which generates electricity by utilizing offshore wind energy and transmits the generated electric energy to an electrical control system for scheduling; the transport ship transports the carbon dioxide captured from the land to the offshore platform, the carbon dioxide is transported to the methanol synthesis module through a transport pipeline to serve as a production raw material, and methanol is prepared through carbon dioxide hydrogenation; the electrical control system is used for receiving electric energy from the offshore wind generating set or the methanol generator, grid-connected to supply power to a power grid when the power grid load is peak, and supplying the electric energy to the seawater desalination module, the water electrolysis hydrogen production module and the like at other moments; the seawater desalination module uses a reverse osmosis membrane method, and seawater enters a reverse osmosis membrane through pressurization of a high-pressure pump so as to realize seawater desalination. According to the invention, the energy consumption process of offshore wind power generation and methanol synthesis is combined, so that high-efficiency conversion and utilization of wind energy with volatility and intermittency are realized.

The present invention relates to the field of warehousing technology, and in particular to an intelligent receiving and shipping system for warehousing, comprising a mobile client, an information external network service end, a database and an information intranet operation management end, wherein the mobile client is connected to the information external network service end through a secure interactive platform; the system in the present invention uses the mobile client, the information external network service end, the database and the information intranet operation management end as information connection media, thereby breaking through time and space limitations in the process of receiving and shipping, expanding the warehousing operation space of grassroots users, and largely avoiding the occurrence of situations such as untimely information entry, ensuring the consistency of logistics and information flow, and changing the concept and method of material warehousing management work, and by constructing a Kalman filtering algorithm and a point cloud matching algorithm, realizing the intelligent scheduling of logistics robots, optimizing the routes of robots, and avoiding the occurrence of situations such as empty loads or mutual obstructions.

This invention relates to the field of intelligent scheduling and control technology, specifically to an intelligent scheduling system for parallel batch processing machine job shop scheduling. The system first acquires the arrival time, preparation time, maximum in-process time limit, and oxidation rate constant of each batch, and sets multiple tentative start-up times. Then, for each start-up time, it filters processable and scrapped batches, and performs virtual loading sorting based on the maximum in-process time limit and batch capacity. Next, it linearly calculates the yield impact ratio of each loaded batch by combining waiting time and oxidation rate constant, and constructs a net output evaluation value for each start-up time by comprehensively considering loading volume, scrap volume, and yield loss, and calculates the delay gain index relative to the initial time. Finally, the scheduling module selects the optimal start-up time based on the delay gain index. This system effectively balances the conflict between "waiting for full load" and "avoiding overdue scrapping" under unsteady material conditions, improving the efficiency of equipment output and scheduling decisions.

The application belongs to the technical field of solid waste recycling and processing, and particularly relates to a solid waste treatment device, which comprises a bottom plate, a ring mold, a roller pressing assembly and a cutting mechanism installed outside the ring mold. The cutting mechanism comprises a ring-shaped cutter reciprocating along the axial direction of the ring mold. A receiving disc is rotationally arranged outside the ring mold and below the discharge port. The receiving disc is drivingly connected with the main shaft, and a clutch mechanism is arranged between the receiving disc and the main shaft to enable intermittent rotation of the receiving disc. The cutting structure of the application can actively cut the material and ensure the consistency of the length of the material. The cutting structure can cooperate with the receiving disc. Before the receiving disc starts to rotate each time, the cutting mechanism performs a cutting action to make the material sufficiently fall off, and then the receiving disc concentrates to discharge the material, thereby avoiding empty load of the receiving disc, improving the conveying efficiency during operation of the receiving disc and reducing the overall energy consumption of the equipment.

The invention provides a simulation software solving method which comprises the following steps: calling a central processing unit to preprocess a simulation matrix to obtain a coordinate format submatrix; the coordinate format sub-matrix is represented by a row index array, a column index array and a non-zero element value array; calling the central processing unit to re-determine the storage format of the coordinate format sub-matrix according to the distribution characteristics of the coordinate format sub-matrix to obtain transmission data of the compressed sub-matrix; the compressed sub-matrix at least comprises one of a coordinate format sub-matrix, a sparse row format sub-matrix and a sparse column format sub-matrix; and calling a graphics processor to complete simulation solution on the compressed sub-matrix. The simulation solving efficiency is improved through CPU-GPU cooperative work, specifically, a sub-thread is constructed on a CPU through a thread pool, the storage format of a matrix is dynamically judged, and the storage format is transmitted to the GPU in a corresponding mode; and GPU parallel processing is utilized to improve the processing efficiency.

The utility model provides an identification system based on a biological sample in vacuum, comprising: a sample shuttle, the sample shuttle having a plurality of placement points, a biological sample ring being stored in each placement point, and the sample shuttle and the biological sample ring having chromatic aberration; the sensor is used for collecting a reflective signal when the sample shuttle is located at a detection point; and the control system is in communication connection with the sensor and is used for receiving the light reflecting signal, judging whether the biological sample ring is stored in each placement point or not and controlling the sensor to execute a collection action when the sample shuttle is located at a detection point. Through the identification system provided by the invention, the problem that storage resources and operation cost are wasted due to the fact that the sample shuttle misses the placement of the biological sample is solved.