8results about How to "Improve allocation accuracy" patented technology

The invention discloses a cache processing method of heterogeneous equipment, a heterogeneous system, a product, a device and a medium, and relates to the technical field of data storage. And according to the target virtual address access times corresponding to each device in the heterogeneous system, realizing a global data caching mechanism. And determining a file page corresponding to the target heterogeneous device based on the target virtual address access frequency, so that the file system layer has the capability of managing the memory cache of the heterogeneous device. And the predicted file page of the target heterogeneous device is verified, and the file page is moved under the condition that the verification is passed, so that the distribution accuracy of the target heterogeneous device is improved. The file page of the target heterogeneous device is mapped and moved to the memory of the host side, the target heterogeneous device does not need to be accessed, the file page stored in the memory of the processor is directly accessed, the increased access rate of the processor accessing the target heterogeneous device is avoided, the delay of accessing the memory of the target heterogeneous device is reduced, and the access efficiency is improved. And the data transmission rate and the system efficiency of the heterogeneous system are improved.

The invention relates to the technical field of electric vehicles, and discloses an electric vehicle charging power distribution optimization method and device, equipment and a storage medium, and the method comprises the steps: converting a charging power optimization problem of an electric vehicle cluster into a Markov decision process; and a reward function of a Markov decision process is constructed by taking profit maximization of a charging station operator as an optimization target, a reference power scheduling strategy of the charging station is obtained by solving the Markov decision process, and the charging station operator performs power scheduling on the charging station according to the reference power scheduling strategy of the charging station. The method comprises the following steps: establishing an optimal power flow model of a power distribution network operator by taking the operation cost minimization of the power distribution network operator as an optimization target, performing optimization solution to obtain a power dispatching instruction of a charging station, and sequentially distributing charging power to each electric vehicle in an electric vehicle cluster according to the priority through the power dispatching instruction of the charging station. Therefore, the electric vehicle charging power distribution accuracy is improved, and power grid dispatching stability is ensured.

The present application discloses an edge cloud resource allocation method and system. The method comprises: receiving an edge cloud resource allocation request sent by a target object; determining an allocation value based on demand information contained in the allocation request, wherein the demand information includes the number of cloud resources required by the target object; and determining a target cloud resource pool that matches the target object from multiple types of cloud resource pools at least according to a comparison result between the allocation value and a preset threshold. The present application solves the technical problem of low allocation accuracy of multimodal edge cloud resources.

The invention relates to the technical field of data analysis, and discloses a computing power demand classification method and device, and the method comprises the steps: obtaining first business information; analyzing first computing power demand information of the first service information according to the first service information; according to the first computing power demand information, calculating a first matching degree value of the first business information and each computing power resource expected to be covered corresponding to the first computing power demand information; according to all the first matching degree values, the first service information is allocated to at least one classification set, and computing power resources and computing power scheduling priorities corresponding to different classification sets are different. It can be seen that the computing power resources can be scientifically applied by improving the classification accuracy of the computing power requirements, the distribution accuracy of the computing power resources and the matching accuracy between different computing power resources and different computing power requirements can be improved, the application scientificity and application sustainability of the computing power resources are improved, and the computing power resources can be applied more accurately. And the application accuracy of the regional computing power resources can be improved.

The application relates to an energy coordination control method, device, equipment and medium for a hybrid energy storage system. The method comprises the following steps: acquiring total power instruction data of the hybrid energy storage system, state of charge parameters of energy storage units of the hybrid energy storage system, and real-time delay observation data between the energy storage units; selecting other energy storage units as neighborhood energy storage units of the energy storage unit; obtaining a neighborhood charge state prediction value set of the energy storage unit based on the state of charge parameters, the real-time delay observation data and a preset state prediction model; quantifying delay effects of each neighborhood energy storage unit of the energy storage unit based on the real-time delay observation data to obtain a delay adaptive weight set; and distributing the total power instruction data to each energy storage unit based on the state of charge parameters, a preset rated power capacity set, the neighborhood charge state prediction value set and the delay adaptive weight set to obtain power control instructions of each energy storage unit. The method can improve the timeliness and accuracy of energy control.

The invention discloses a power grid database security protection method and device, equipment and a medium, and relates to the technical field of data security access, the method comprises the following steps: identifying a plurality of groups of historical access logs of a power grid database to obtain a plurality of historical access behaviors, and analyzing and extracting to obtain corresponding access behavior characteristics; performing density-based clustering analysis on all the access behavior characteristics to obtain a plurality of behavior modes; predicting a risk coefficient of each behavior pattern based on a long short-term memory network model, and classifying the plurality of behavior patterns into a plurality of risk levels; matching a first behavior mode corresponding to the plurality of behavior modes according to the current access behavior, determining a protection strategy according to a first risk level determined by the first behavior mode in combination with the behavior intention of the current access behavior, and performing security protection; wherein the behavior intention is obtained based on analysis of the current access behavior. According to the method, the access behavior can be accurately identified, so that the power grid database is reasonably and safely protected.

The present invention discloses an automatic distribution control method, device and system based on the Internet of Things, the method comprising: obtaining first order information including a first product, second order information including a second product and third order information including both the first product and the second product within a historical predetermined time period; determining the viscosity coefficients of the first product and the second product according to the first order information, the second order information and the third order information in combination with predetermined rules; both the first product and the second product have RFID tags; determining the storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product, and controlling access to the corresponding storage location based on scanning the RFID tag. It can be seen that the implementation of the present invention can automatically allocate the corresponding storage location according to the product information configuration, thereby improving the distribution efficiency of the products and the control efficiency and control accuracy after the storage location is allocated.

The invention discloses a resource pool allocation method and device, and the method comprises the steps: carrying out the analysis of a resource allocation request when the resource allocation request is received, and obtaining an operation system, a system level, at least one node type, and the number of devices corresponding to each node type; screening a model list corresponding to the operating system from a database resource pool; screening out a CDP corresponding to the type list, the node type and the system level from all CDPs in the database resource pool, and identifying the CDP as a target CDP; if the number of devices in the target CDP meets the number of devices corresponding to each node type, setting the priority of each type; and distributing equipment in the target CDP according to the priority and the node type of each type. The resource allocation request is split into a plurality of conditions, and the CDP is matched according to the conditions, so that the change of the resource pool can be flexibly coped with. When the equipment changes, the allocation strategy can be quickly adjusted, and accurate allocation of resources is ensured, so that the allocation accuracy is improved.