7results about How to "Avoid idle situations" patented technology

The application relates to the technical field of network task allocation, and discloses a heterogeneous computing power network task allocation and path optimization system based on a neural network, which comprises a graph construction module, a node task allocation module and a path optimization module.The graph construction module is used for constructing a traffic dispersion graph, modeling network topology and node data through the traffic dispersion graph, and modeling nodes and edges in combination with graph indexing and graph displacement, and extracting network communication traffic and node features.The node task allocation module is used for inputting graph indexes of all nodes into an improved graph neural network model to intelligently predict and allocate node tasks, and outputting node task allocation prediction results.The path optimization module is used for obtaining path optimization results by minimizing transmission delay and balancing node computing power in combination with node task prediction results.The system optimization module is used for optimizing the overall performance of the system based on the path optimization results and the task allocation prediction results.The application improves the task allocation and path optimization efficiency of the heterogeneous computing power network.

The invention provides a traffic scheduling method and device, equipment and a storage medium, and the method comprises the steps: determining the current health degree of each link according to the historical health degree of each link and each index value in a current time period; therefore, the health degree is determined more accurately, and the link health degree is evaluated more accurately. In addition, a data transmission mode between the first network device and the second network device is determined according to the current health degree of each link, and then a flow scheduling rule in the corresponding data transmission mode is determined. Therefore, the dynamic transfer of each link can be determined, and the situation that the links are idle is avoided, so that the link utilization maximization and experience optimization are realized. The method is suitable for various IP network environments and various network topology structures, can be used for traditional copper cable access and wireless access scenes, and can also be used for optical fiber access scenes including an FTTR (Fiber To The Room) all-optical access network.

The utility model relates to the technical field of feeding and discharging device, disclose a kind of feeding and discharging device for laser processing, including mounting seat, the top of mounting seat is equipped with connecting frame, the top of mounting seat is equipped with fixed seat;The device is provided with first feeding and discharging mechanism, when the position of first object table is adjusted, first servo motor can be started to drive first ball screw to rotate, the position of first object table horizontal direction can be adjusted quickly, the position of first object table can be adjusted according to the requirement of feeding and discharging, it is favorable to the feeding and discharging of laser processing to carry out;By being provided with second feeding and discharging mechanism, user can carry out loading and unloading operation on work station when second object table or first object table is idle, laser processing and loading and unloading are carried out simultaneously, avoid the idle situation due to waiting for feeding and discharging, realize higher equipment utilization, with stronger production flexibility.

The application provides a multi-agent optimal allocation method of a dynamic routing algorithm, relates to the technical field of artificial intelligence, and comprises the following steps: obtaining a task characteristic matrix, constructing a multi-agent capability matrix, constructing a multi-objective optimization function containing a specialty matching degree, a cost and a performance standard degree based on the task characteristic matrix and the multi-agent capability matrix, and solving and obtaining an optimal allocation scheme by using an improved genetic algorithm; supporting user intervention and automatically checking and updating; and monitoring a load in real time and dynamically migrating tasks when overload is detected. The application improves resource allocation efficiency, enhances system robustness, and realizes intelligent load balancing.

This utility model discloses a special deburring device for connecting rod mating surfaces, relating to the field of machining equipment technology. It includes: a base plate; a rotary worktable mounted on the base plate, with multiple sets of tooling fixtures arranged circumferentially on the rotary worktable for simultaneously clamping multiple connecting rods; and multiple sets of deburring devices mounted on the base plate, distributed around the rotary worktable. Each deburring device includes a slide table slidably connected to the base plate, a drive motor mounted on the slide table, and a grinding assembly driven by the drive motor. This special deburring device for connecting rod mating surfaces allows the tooling fixtures to clamp multiple connecting rods at once, and the grinding assemblies of the multiple deburring devices to simultaneously grind multiple connecting rods, avoiding idle time, resulting in high work efficiency and meeting the needs of mass production lines. The multiple deburring devices work together to remove burrs from the connecting rod mating surfaces and the end faces on both sides of the mating surfaces, ensuring effective burr removal.

This application relates to the field of food processing equipment technology, and in particular to a quick-freezing tunnel utilization optimization system and method, comprising: a data acquisition module for real-time acquisition of product core temperature data, tunnel capacity data, tunnel cooling output data, and freezing time data in at least one quick-freezing tunnel; a data analysis module connected to the data acquisition module for constructing and storing a model reflecting the correlation between product core temperature and tunnel capacity, cooling output, and freezing time; and an optimization decision module connected to the data analysis module for inputting the currently acquired real-time tunnel operating parameters into the model, calculating the current tunnel utilization rate, and outputting optimization instructions for adjusting the tunnel operating parameters. This application can increase the feedback between quick-freezing tunnel operating parameters and product core temperature, thereby improving energy efficiency.

The invention discloses a cleaning work order distribution scheduling method, system and device based on an intelligent public toilet, and relates to the technical field of work order distribution. The method comprises the steps that state information of at least two preset cleaning personnel located in a preset area is acquired, an evaluation model acquires the priority of the at least two preset cleaning personnel, and whether the priority is larger than a preset threshold value or not is judged; if yes, sorting the at least two preset cleaning personnel according to the priority from high to low, and distributing the cleaning work order according to a first sorting result; and if not, obtaining a target area associated with the preset area, obtaining the state information of at least one target cleaning person in the target area, obtaining the priority of the target cleaning person, sorting all the preset cleaning persons and the priority of the target cleaning person from high to low, and distributing the cleaning work order according to a second sorting result. The method aims to solve the technical problem that a traditional manual scheduling mode is difficult to meet the requirement for cleaning management of public toilets in modern cities.