12results about How to "Implement scheduling" patented technology

The present application relates to the technical field of magnetic element modeling and control, and particularly relates to a multi-factor magnetic core loss prediction method based on machine learning. The method first acquires the magnetic flux density data of the magnetic element, extracts its distribution characteristics and shape characteristics, and realizes excitation waveform recognition by constructing a classification model; secondly, a temperature index correction term is introduced based on the Steinmetz equation to establish a temperature-sensitive loss model; further, the entropy weight method and statistical analysis are used to evaluate the importance of multiple factors; an integrated learning model of random forest and LightGBM is used to construct a magnetic core loss prediction model; and a single-objective optimization model is established by combining differential evolution and simulated annealing algorithm with the objectives of minimum loss and maximum magnetic energy transmission. The method improves the generalization ability and prediction accuracy of the model, can adapt to the modeling needs of magnetic core loss under multiple material, multiple waveform and multiple working condition conditions, and is suitable for application scenarios such as high-frequency magnetic element design and power electronic system optimization.

The invention relates to the technical field of satellite communication, and particularly discloses a beam scheduling method for a multi-satellite communication system, which comprises the following steps of: constructing a system architecture comprising S low-earth orbit satellites and M ground cells, and aiming at maximizing the average system capacity of the ratio of the total data flow to the number of satellites required for scheduling; establishing a complex non-convex optimization problem limited by the passing time of the satellite, the number of beam pairs and business matrix decomposition; an optimization problem is modeled as a Markov decision process, a proximity policy optimization algorithm is adopted as a core solver, and policy learning is performed through an actor-evaluator network structure; meanwhile, a matrix decomposition technology is used as an embedded module, and a high-dimensional service matrix is decomposed into a low-dimensional configuration matrix, so that the dimensionality of an action space and the calculation complexity of an algorithm are remarkably reduced. According to the method, intelligent selection and scheduling of the ground cell in a dynamic network environment are realized, and finally, the average system capacity is remarkably improved while the data transmission continuity is ensured.

The embodiments of the present application provide an I / O offloading method, device, system and storage medium in a cloud environment. In the embodiments of the present application, a queue component is added to the CPU of the host, and it is innovatively proposed to use the queue component in the I / O processing process. Based on this, a virtual I / O device and a device queue corresponding to the virtual I / O device can be provided for the instances on the host through the queue component; within the CPU, the device queue is used to schedule the I / O requests that occur between the instance and the virtual I / O device; and the original I / O offloading card only needs to be responsible for listening to the I / O requests in the device queue and transferring the data related to the I / O requests. In this way, the device queue in the I / O processing process can be moved up to the CPU, so that in the I / O scheduling process, it can联动 with each component in the CPU, obtain the real-time loads of each core in the CPU, and thus more reasonably implement I / O scheduling instead of blindly scheduling, which can effectively improve the I / O processing efficiency. It should be noted that the "联动" in the original text seems to be a misspelling. It might be "联动" which is not a standard English word. I've translated it as "联动" for now. If it has a specific correct English expression, please let me know and I can adjust it.

The application discloses a sintering machine tail state monitoring method based on machine vision. The method comprises the following steps: S1, preprocessing of the input sintering machine tail image; S2, color gamut conversion of the original image to extract the combustion area in the image; S3, image processing after extracting the combustion area and extraction of the machine tail area; S4, feature value calculation of the extracted machine tail area; and S5, sintering state judgment and monitoring according to the feature value. The application constructs a sintering machine tail state monitoring system through machine vision and image processing related technologies, realizes real-time monitoring of the sintering machine, gives a prompt and a warning to the abnormal part, further realizes intelligent production of the sintering process section, improves the production efficiency of the steel enterprise, reduces the labor cost, and further promotes the intelligent manufacturing transformation and upgrading and intelligent development of the steel metallurgy field in China.

The invention belongs to the field of power system optimization control, and particularly relates to a network-group-user optimization scheduling system based on a double-layer game optimization model, and the system builds a double-layer game optimization model of a power distribution network-production and elimination user group and a double-layer game optimization model of production and elimination user group-production and elimination users. The upper layer of the double-layer game optimization model is a master-slave game model of the power distribution network and the production and elimination user group, and the power distribution network makes a power purchase price and upper and lower standby prices by taking the optimal operation efficiency of the power distribution network as a target so as to guide the production and elimination user group to optimize production and elimination user resources; the lower layer of the double-layer game optimization model is a production and disappearance user group and a master-slave game model of the production and disappearance users, and the production and disappearance user group formulates an electricity purchase price and upper and lower standby prices so as to excite each production and disappearance user to adjust a charge and discharge strategy of energy storage of the production and disappearance user and the electric quantity and standby capacity transacted with the production and disappearance user group. By constructing a double-layer game optimization model, the operation efficiency of each main body is maximized, and reasonable allocation and scheduling of flexible standby resources in the power system are realized.

The application provides an information processing method and device of a computing power node, and belongs to the technical field of network security. The information processing method of the computing power node is applied to an access module of the computing power node, and the method comprises the following steps: scanning computing power resource information and security configuration information of the computing power node; and reporting a first scanning result obtained through the scanning to a computing power security authentication service entity. The technical scheme of the application can avoid that a malicious node reports false service capacity.

The present disclosure provides a task information processing method and device, equipment and storage medium, and relates to the technical field of information. The method comprises the following steps: receiving task data to be processed sent by a first business target, wherein the task data to be processed is generated by the first business target according to initial task data and task flow strategy information, and the task data to be processed comprises flow target information; and sending the task data to be processed to a second business target according to the flow target information, wherein the second business target is independent of the first business target. The method realizes the scheduling of tasks between independent systems, and solves the problem of lack of reasonable scheduling of tasks between systems due to independent operation of business systems in related technologies.

The invention discloses an energy storage scheduling method and device, an energy storage system and a micro-grid system, and relates to the technical field of power systems. The stored energy scheduling method comprises the following steps: receiving input data; determining an energy storage scheduling mode according to the input data, and generating a scheduling execution instruction according to an energy storage scheduling strategy matched with the energy storage scheduling mode; and controlling the operation state of the energy storage equipment according to the scheduling execution instruction. The variable scheduling scene mode is dynamically identified according to the input data, and the target scheduling strategy matched with the mode is switched, so that the scheduling and management of the energy storage equipment are realized, and the energy scheduling of the energy storage equipment can adapt to the dynamic change and load demand change of a power system.

The invention discloses a cloud network end collaborative security management and control method, and belongs to the technical field of security monitoring. According to the method, dynamic sensing data and static sensing data are obtained, the dynamic sensing data are data collected by mobile sensing equipment, and the static sensing data are data collected by fixedly installed sensing equipment; and generating a real-time risk feature according to the dynamic perception data, the static perception data and the area data of the target area, generating a risk prompt report according to the real-time risk feature and a preset analysis algorithm, and generating security scheduling data according to the risk prompt report, thereby achieving the beneficial effect of improving the efficiency of monitoring management.

The invention relates to the field of power grid dispatching, in particular to an intelligent dispatching system for a power grid. Comprising an input module, a scheduling module and a decentralized output module, the input module is connected to the scheduling module, and the scheduling module is connected to the decentralized output module. The system further comprises an intelligent monitoring camera module which is arranged above the input module, the scheduling module and the decentralized output module. The system further comprises a computer control module, the computer control module is connected with the intelligent monitoring camera module through the Internet, and the computer control module is connected with the scheduling module through the Internet. The computer control module is composed of a computer, a display screen and a mouse. The intelligent monitoring camera module is a panoramic camera. Different second binding posts on the input module and the decentralized output module can be conducted through the dispatching module, and power grid dispatching is achieved.

The embodiment of the invention provides a radio frequency test method and device, a storage medium and a program product. The method comprises the steps of obtaining test scene data of a to-be-tested device, determining an execution sequence of a plurality of test scenes based on the scene dependency and resource occupation information, generating a control instruction according to the execution sequence, and sending the control instruction to the to-be-tested device, the control instruction is used for controlling the to-be-tested equipment to enter equipment states corresponding to the multiple test scenes in sequence, and controlling the radio frequency test equipment to perform radio frequency test on the to-be-tested equipment in the equipment states to obtain a corresponding radio frequency test result. According to the method provided by the embodiment of the invention, the problems of resource conflict and execution efficiency in multiple test scenes can be effectively solved, the coverage rate and the execution efficiency of radio frequency testing are remarkably improved, and the manual configuration and intervention cost is reduced.