6results about How to "Reduce no-load" patented technology

The invention provides an intelligent drinking water distribution path optimization method based on a mobile terminal, and the method comprises the steps: calculating an order regularity coefficient and a recovery rate, classifying users into four types, and determining the order basic priority according to the four types; and calculating a time urgency degree weight in combination with the expected order delivery time so as to determine a comprehensive priority value of the order. According to the method, real-time road conditions and deliveryman position information of a delivery area are collected, an order density thermodynamic diagram is generated, distribution area grids are adaptively divided based on the thermodynamic diagram, and a high-density area is covered with a smaller grid size. And a multi-objective optimization model is established by combining the vehicle-mounted capacity state of the deliveryman, and optimization objectives comprise weighted delivery time minimization, vehicle-mounted capacity utilization rate maximization, container recovery efficiency maximization and workload balancing. And solving the optimization model by using an ant colony algorithm, adjusting a distribution path in real time, and dynamically updating path planning according to vehicle-mounted capacity change data so as to realize efficient and flexible intelligent distribution management.

The invention provides an intelligent vehicle type identification and dynamic regulation and control loading system, and compared with the prior art, the intelligent vehicle type identification and dynamic regulation and control loading system comprises an arrangement module, an identification module, a loading control module, a dynamic regulation and control module and a real-time monitoring platform. The arrangement module intelligently dispatches and matches vehicles according to transportation requirements; the identification module accurately identifies vehicle information through an image identification algorithm; the loading control module controls the loading device to automatically complete material loading through a PLC. The dynamic regulation and control module adjusts the loading speed according to the real-time loading state, and overload or too slow loading is avoided; and the real-time monitoring platform provides transportation task progress monitoring and abnormity alarming, so that the loading process is ensured to be carried out smoothly. According to the system, the utilization efficiency of transportation resources can be effectively improved, the transportation cost is reduced, and the automation and intelligence level of loading operation is improved. Through intelligent scheduling and dynamic regulation and control, it is ensured that the material loading process is more efficient and accurate.

The invention discloses a feeding device for constructional engineering and an operation method of the feeding device, and relates to the technical field of feeding devices for constructional engineering, the feeding device comprises a feeding assembly, the feeding assembly comprises a supporting frame, a transmission belt is arranged on the inner side of the supporting frame, and a six-edge shaft is fixedly connected to the outer wall of one end of the transmission belt; the upper end, close to the driven gear, of the supporting frame is fixedly connected with an upper sliding groove. Wherein a feeding frame is arranged on one side of the six-edge shaft, a positioning groove is formed in one side of the feeding frame, and a lifting frame is arranged on one side of the positioning groove; wherein a wedging groove is formed in the middle of the lower end of the stable frame, a guide roller is arranged on one side of the wedging groove, the wedging groove is clamped with the six-edge shaft conveniently, a positioning groove is clamped with a movable rolling wheel, the stability of the feeding frame and the storage trolley during feeding is improved, and when the feeding frame moves to the highest position and the lowest position of a transmission belt, the conveying belt can be driven by the guide roller to rotate. And the storage trolley can be conveniently and rapidly taken out of and placed in the feeding frame, and the purpose of improving the concrete feeding efficiency is achieved.

This invention provides a hybrid solid-state transformer and its power distribution method for normal power optimization, belonging to the field of power electronic transformer technology. It includes a power frequency transformer, a three-stage dual-parallel converter, a power sampling circuit, a hysteresis comparator circuit, and a combined controller. One end of the power frequency transformer is connected to the high-voltage grid, and the other end is connected to the AC load. The three-stage dual-parallel converter is connected in parallel with the power frequency transformer. The power sampling circuit acquires the voltage and current of the AC load and outputs an analog voltage signal. The hysteresis comparator circuit evaluates the operating conditions of the analog voltage signal and outputs a binary status signal. The combined controller acquires the binary status signal and the fault signal of the three-stage dual-parallel converter, and controls the operating state of the power frequency transformer and the three-stage dual-parallel converter. This invention solves the problems of low operating efficiency and uneven power distribution of existing transformers under light load, heavy load, and fault conditions.

The application provides a direct memory access control system and method for adaptive prefetch arbitration. The system collects data channel running states through a data channel state monitoring module, estimates descriptor cutoff and payload data starvation risks through a descriptor cutoff risk estimation module and a payload data starvation risk estimation module respectively, and generates and adjusts the priority of the linked list item read request according to the two types of risks through an adaptive prefetch strategy controller. The descriptor prefetch timing and read priority are dynamically adjusted according to the load, the timely preparation of the next descriptor and the continuous supply of the payload data are considered, the data block switching air bubbles and the source buffer idle are reduced, the payload data read continuity is guaranteed, the effective bandwidth utilization of the shared storage channel is improved, and the stability of the transport delay is improved.

The invention relates to the technical field of automatic guided vehicle scheduling, in particular to an AGV scheduling optimization method and system based on task priority and energy consumption. The method comprises the following steps: obtaining a basic priority comprehensive score in combination with a time urgency index and a scheduling waiting time index; dynamically optimizing the basic priority comprehensive score by using a penalty factor to obtain a dynamic priority score; the task clusters are divided according to dynamic priority scores, and the AGVs are pre-allocated according to the division result; and constructing a multi-target scheduling optimization model, and finishing AGV scheduling in combination with the multi-target scheduling optimization model and the pre-allocation result. According to the method, the task priority and the energy consumption model are combined, efficient cooperative scheduling of the multiple AGVs on the spinning vehicle discontinuous yarn piecing task is achieved, the scheduling process and the path planning process are simplified, the workshop automation level and the operation efficiency are effectively improved, and the method has the remarkable advantages of being energy-saving, efficient, intelligent in control and the like.