75results about How to "Accurate scheduling" patented technology

The invention belongs to the technical field of island integrated energy systems, and particularly discloses a short-time scale low-carbon optimal scheduling method and system for an island integrated energy system, and the method comprises the steps: constructing an electricity-hydrogen-heat multi-energy coupled island integrated energy system model; constructing a real-time stepped carbon transaction model based on the interval to which the carbon emission quota participating in the carbon emission transaction belongs by using an island integrated energy system model; on the basis of a real-time stepped carbon transaction model, deviation penalty of new energy prediction is considered, one day is divided into n scheduling cycles, n is an integer larger than 1, a target function is constructed with the highest total income of a system as an optimization target, the optimization target is solved, and an optimized scheduling result is obtained. According to the invention, wind energy, solar energy, wave energy, stored energy, a photo-thermal power station and other energy sources are co-scheduled with electricity, hydrogen and water loads to form a dynamically balanced energy system; and high consumption and low carbon emission are kept as far as possible.

The invention discloses an integrated energy system optimization method based on hierarchical uncertainty, and the method comprises the following steps: taking an error between historical power generation data and historical prediction power generation data of an integrated energy system as a historical prediction error, and constructing a prediction error fuzzy set according to the historical prediction error, constructing a distribution robust optimization model based on the prediction error fuzzy set; obtaining the day-ahead one-hour power prediction data of the integrated energy system, and inputting the day-ahead one-hour power prediction data into the distributed robust optimization model to obtain a day-ahead scheduling scheme of the integrated energy system; the method comprises the following steps: constructing an intra-day random scene set, constructing a random optimization model based on the intra-day random scene set, acquiring intra-day power prediction data based on a day-ahead scheduling scheme by taking 15 minutes as a period, inputting the intra-day power prediction data into the random optimization model to obtain an intra-day scheduling scheme, and repeating the steps until optimization scheduling of all periods in the day is completed. And obtaining a final scheduling scheme of the integrated energy system.

The invention relates to the technical field of power grid demand response, and discloses a power grid dispatching demand response system and method.The system comprises a state vector generation module, a state sequence generation module, a demand factor extraction module, a factor correlation analysis module, a weighted feature generation module and a resource dispatching module; the method comprises the following steps: generating a state estimation value of a power grid, carrying out vector coding to obtain a state vector, carrying out splicing and dimension reduction to obtain a state sequence, extracting demand factors from demand data, calculating a relationship among the demand factors through correlation analysis, weighting the demand factors according to factor correlation to obtain demand weighting characteristics, and finally, obtaining a state estimation result. And a load management strategy is generated based on the characteristics and the state sequence, so that resource scheduling is performed on the power grid according to the load management strategy, and the accuracy of power grid scheduling demand response is improved.

The invention provides a service flow processing method and device, network equipment, a medium and a program product, and relates to the technical field of communication. The service flow processing method comprises the following steps: acquiring first information; wherein the first information is used for identifying or detecting a plurality of service flows, and the plurality of service flows belong to the same end-to-end transmission connection; determining mapping information of the plurality of service flows and a quality of service (QoS) flow according to the first information; and sending the first information and the mapping information to a second network function. According to the scheme, the problem that multiple service flows cannot be identified or detected is solved.

The invention relates to the technical field of intelligent monitoring, in particular to an intelligent remote control hydropower station multi-station cooperative monitoring system and method. The system comprises an acquisition and transmission unit which is used for acquiring data of a hydropower station in real time; the monitoring management unit is used for receiving and processing the data, transmitted by the acquisition and transmission unit, of each hydropower station; the optimal scheduling unit establishes a power generation scheduling optimization model, a reservoir scheduling optimization model and an environmental influence minimization model, generates an optimal scheduling scheme according to solutions of the models, converts the optimal scheduling scheme into a control instruction and sends the instruction to the remote control unit; and the remote control unit is used for sending the received control instruction to each hydropower station. According to the intelligent remote control hydropower station multi-station cooperative monitoring system and method, the power generation capacity under different air temperature conditions can be predicted more accurately, a more reasonable power generation plan can be made, the water level change of a reservoir can be predicted more accurately, and it is ensured that the water level is within a safe range.

The invention discloses a thread management method and device, equipment and a storage medium. A target task is determined from a task queue, a target thread is determined from idle threads, and the target thread is scheduled to execute the target task. The execution state of the target task is monitored, and when it is monitored that the execution state is cancelled, execution of the target task is stopped, and a new target task is determined again from the task queue. Thus, by directly packaging the target function into the target task and scheduling the thread to execute the corresponding target task, the process of matching the operation language with the thread pool can be omitted, the thread pool is accurately scheduled, the situation that more memory needs to be occupied when the execution state of the target task is cancelled by adopting a lock mechanism is avoided, and the user experience is improved. And the service execution efficiency is ensured.

The invention discloses a three-dimensional map collecting and updating method and device and electronic equipment, and belongs to the field of map updating. Only the data collected by the unmanned aerial vehicle can update the base map of the current three-dimensional map, so that when the position of the to-be-collected area is not the existing position on the current three-dimensional map, at least the data collected by the unmanned aerial vehicle is needed, and when the position of the to-be-collected area is the existing position on the current three-dimensional map, the base map does not need to be updated. Therefore, the unmanned aerial vehicle and the collection vehicle can be used as execution equipment. According to the scheme, after the position of the to-be-collected area is obtained, the execution equipment is automatically determined according to the area data of the to-be-collected area, the collection task is generated, the three-dimensional map is automatically updated based on the collected data, manual participation is not needed, cost is low, efficiency is high, rapid changes of the terrain and texture of a working site can be reflected in time, and working efficiency is improved. Reasonable planning and accurate scheduling of operators are effectively supported.

The invention relates to the technical field of traffic safety management, in particular to an expressway emergency response blocking device, system and method, which are arranged on a preset road section, and comprises the following steps: a road detection system monitors data of key indexes of vehicles and road conditions in real time; the remote control system receives the data, transmitted by the data transmission system, of the road detection system, judges the road condition according to the data, activates corresponding emergency measures automatically or through manual instructions according to the road condition, and dispatches and guides starting and stopping of the warning system and the physical interception system; the guiding and warning system is used for guiding and warning; when the physical interception system is activated, an entity or virtual barrier is formed to block a road; the road section information feedback system carries out information transmission with an external user system and information transmission between the expressway emergency response blocking devices of different road sections. According to the scheme, the safety and the emergency response efficiency of the expressway are greatly improved, the accident rate is reduced, and secondary accidents are minimized.

The invention relates to the field of traffic transportation, and discloses a traffic transportation scheduling method based on visual identification, comprising the following steps: installing camera devices at a plurality of traffic nodes for collecting traffic flow image data in real time; preprocessing the image data, wherein the preprocessing comprises image denoising, resolution adjustment and lane area division; vehicle detection and classification are carried out on the image data through a deep learning model, and the position, the speed, the driving direction and the vehicle type of the vehicle are identified; performing cross-frame tracking on the detected vehicles by using a multi-target tracking algorithm to generate a real-time trajectory of each vehicle; and predicting the future traffic flow based on the long and short-term memory network model, and generating a flow change trend in a future period of time. Through visual identification and real-time flow prediction, the system can identify traffic jam points in advance and make an intelligent scheduling decision, thereby effectively reducing traffic jam and improving vehicle passing efficiency.

The invention provides a second-level resource regulation and control method, device and equipment for a virtual power plant and a storage medium. Key information features are extracted from operation data of various adjustable resources of edge nodes and uploaded to a cloud. The cloud end predicts an optimal regulation and control strategy, and then the strategy is fed back to the edge node through a low-delay communication technology. Before local execution, if no same strategy exists in the cache, the received strategy is decomposed into sub-strategies and stored. And during execution, performing resource regulation and control according to the sub-strategy queues in the cache. In addition, sub-strategies suitable for the current condition can be retrieved from a local storage to be applied. In the whole process, a cloud edge cooperation mechanism is optimized, the time cost of data transmission and processing is reduced, the powerful computing power of the cloud end can be fully utilized for data analysis and intelligent decision making, the edge end focuses on quick response and instruction execution, and efficient and accurate management and scheduling of virtual power plant resources are jointly achieved.

The invention relates to the technical field of copper foil production, and provides an intelligent scheduling method and device for copper foil production, computer equipment and a storage medium. An initial intelligent scheduling strategy is simulated and generated based on production data of each piece of copper foil production equipment on a copper foil production line, and primary simulation optimization is performed by using a pre-constructed optimization model; calculating production data and product images before and after optimization to obtain an optimization stopping factor value; when the optimization stopping factor value is greater than a threshold value, performing simulation optimization again by using a pre-constructed optimization model; when the optimization stopping factor value is smaller than a threshold value, iteration simulation optimization is stopped, and a target intelligent scheduling strategy is obtained; and generating an intelligent scheduling instruction based on the target intelligent scheduling strategy and sending the intelligent scheduling instruction to the corresponding copper foil production equipment in real time so as to realize intelligent scheduling of copper foil production. According to the invention, the operation sequence and the operation time of each production device can be automatically adjusted, and intelligent and automatic scheduling of copper foil production is realized.

The invention discloses a spacecraft task scheduling method and system, electronic equipment and a storage medium, and relates to the technical field of spacecraft task scheduling, and the method comprises the steps: calculating and obtaining a total score of a preset to-be-scheduled spacecraft task according to a criterion layer weight vector and a factor layer score vector corresponding to the preset to-be-scheduled spacecraft task, and performing priority ranking on all the to-be-scheduled spacecraft tasks according to the size of the total score of each to-be-scheduled spacecraft task, and scheduling and executing all the to-be-scheduled spacecraft tasks according to a priority ranking sequence. Based on the fuzzy hierarchical comprehensive analysis, the accuracy and interpretability of the priority evaluation of the spacecraft tasks can be improved, the priority ranking sequence is more accurate and reliable, and accurate scheduling and execution of the spacecraft tasks can be realized.

The invention relates to the technical field of network communication management, and discloses a system and a method for establishing a VPN (Virtual Private Network) data flow acceleration model, and the method comprises the following steps: distributing an IP (Internet Protocol) address for access equipment through a DHCP (Dynamic Host Configuration Protocol), and obtaining the IP address of a message queue telemetry transport protocol (MQTT) server; and the access device registers identity information through the MQTT and stores the identity information. And performing batch management on the access equipment according to the subscription mechanism of the MQTT server, wherein the management content comprises equipment configuration, operation state, terminal access and batch upgrading. Meanwhile, VPN data features and historical data features of the access device are obtained and stored, a VPN data flow classification model is established based on the features, and the VPN features of the device are substituted into the model to obtain a classification result. And finally, obtaining real-time performance data of a network link, determining an effective link according to a demand relationship between the real-time data and a classification result, and selecting an optimal path transmission mechanism based on the effective link so as to optimize the transmission performance of the VPN data stream.

The invention provides a multi-link automatic switching method based on VPP, and belongs to the technical field of information communication. The technical problem that multi-link automatic switching is not timely is solved. According to the technical scheme, the method comprises the following steps: S01, directly taking over N physical network cards on routing equipment by using a DPDK plug-in in a VPP; s02, accessing M different communication links (Mlt); n; s03, allocating independent path labels to all the virtual network tunnels; and S04, monitoring link quality information of all virtual network tunnels in real time. The method has the advantages that automatic and rapid switching of multiple links is achieved, network congestion and delay are reduced, the flexibility and manageability of the whole network are improved, and the diversified requirements of modern network communication are met.

The present invention provides a virtual-reality combined simulation system and method supporting large-scale unmanned aerial vehicle cluster flight tests, belonging to the field of unmanned aerial vehicle cluster simulation. To solve the problems of low fidelity of large-scale unmanned aerial vehicle clusters and multiple limitations of virtual-reality combined simulation in existing software simulation systems. Combining virtual unmanned aerial vehicle clusters with real real-time unmanned aerial vehicle clusters, simulation support for the underlying environment is provided, covering cluster scheduling algorithms, task allocation algorithms, formation control algorithms, dynamic control algorithms, and three-dimensional visualization frameworks, to achieve task requirement data analysis, task allocation and optimization scheduling, cluster command and control formation flight, cluster measurement and control and status monitoring, and intelligent collaboration of human-machine terminals. The present invention realizes effective verification of large-scale unmanned aerial vehicle clusters in performing tasks through a parallel simulation method that combines virtual unmanned aerial vehicle flight nodes with real unmanned aerial vehicle flight nodes, which has important theoretical significance and application value for promoting the verification of key technologies of unmanned aerial vehicle clusters and the practical application of unmanned aerial vehicle clusters.

The invention provides an intelligent building method for a parameterized three-dimensional power grid frame, and relates to the technical field of electric power, and the method comprises the steps of first collection, second collection, third collection, model construction, demand prediction, power grid division, first setting, architecture construction and the like. The charging demand fluctuation condition of the electric vehicle can be dynamically monitored, the power grid is divided by adopting the clustering algorithm according to the charging demands and regional characteristics of different regions, the load center is set based on the power grid division result, and the power grid architecture is constructed. The constructed power grid architecture can better cope with the conditions of power load fluctuation and power load regional difference caused by popularization of electric vehicles, the dynamic response capability of the power grid is enhanced, and the stability of the power grid is improved.

The present invention discloses an intelligent medical service integrated management system and method, which relates to the field of integrated management technology, including: the intelligent medical service integrated management system and method, by implementing the generation of a drug dispatching plan for drugs to be called with sufficient inventory, can achieve mixed treatment of multiple drugs for one disease under the premise of ensuring the side effects of drugs, can reduce the loss of a single type of drugs while ensuring the therapeutic effect of drugs, and avoid a sudden reduction in the number of drugs due to frequent use of the same drug. At the same time, by implementing the generation of a drug dispatching plan for drugs to be called with insufficient inventory, can achieve treatment of multiple diseases with one drug under the premise of ensuring the side effects of drugs, can avoid the situation where there is no medicine to treat in an emergency situation while ensuring the therapeutic effect of drugs, and can ensure the normal medication treatment of patients in an emergency situation.

The invention discloses a wireless resource management method and device and a computer readable storage medium, the method is applied to a communication terminal, and the method comprises the following steps: sending wireless resource analysis information to a network device; and receiving a wireless resource management instruction sent by the network equipment based on the wireless resource analysis information. The application at least solves the technical problem that the communication quality of the communication terminal is damaged due to the inaccurate wireless resource management indication issued by the network device.

The invention relates to the technical field of insurance data processing, and provides a rule publishing method and system based on a multi-stage time wheel. The method comprises the following steps: acquiring a first insurance case record; constructing an insurance database according to the first mapping relation in the record; extracting a target case, and obtaining target case features and target case delimits; adding the target case to a predetermined multi-stage time wheel according to the target case limit, and activating a processing instruction of the target case; according to the processing instruction, traversing the target case characteristics in an insurance database, and issuing a target case rule; and performing case regularization processing on the target case according to the target case rule. According to the method and the device, the technical problems of lagging in starting of a traditional insurance case rule, high system load and low case processing efficiency are solved, and the effects of efficiently starting and stopping the case rule in real time, reducing the system load and improving the case processing accuracy and circulation efficiency through a rule release mechanism based on a multi-stage time wheel are realized.

The invention relates to the technical field of computers, and discloses a personnel scheduling information generation method and device, equipment, a medium and a program product, and the personnel scheduling information generation method comprises the steps: receiving first target region description information, first population description information and second target region description information; generating target region area information and first proportion information by using the first target region description information and the first population description information; generating second proportion information by using the second target area description information; generating first personnel placement information according to the second target region description information and the target region area information; processing the first proportion information and the second proportion information to obtain a personnel placement coefficient; judging whether the personnel placement coefficient is greater than a preset value; and if yes, updating the first personnel placement information as personnel scheduling information through a personnel placement coefficient. According to the method, the area proportion of the garden plot collected by the target area is considered, and the obtained personnel scheduling information is more accurate.

The invention provides a turbidity initial field setting method and system for a water turbidity forecasting model, and the method comprises the following steps: S1, collecting multi-source data, and carrying out the preprocessing of the data; s2, feature extraction and feature selection; s3, training a machine learning model; s4, using the trained machine learning model to obtain a turbidity initial field forecast result; s5, performing spatial interpolation by using actually measured turbidity data of the monitoring points to obtain a turbidity initial field interpolation result; s6, fusing the turbidity initial field forecast result and the turbidity initial field interpolation result to obtain a fused turbidity initial field; s7, performing physical constraint and smoothing processing on the fusion turbidity initial field; s8, quantitatively analyzing the total uncertainty of the fusion turbidity initial field; and S9, correcting and fusing the turbidity initial field, and finally obtaining a reasonable turbidity initial field setting scheme of the water turbidity forecasting model. According to the method, the turbidity initial field setting precision of the water turbidity forecasting model is improved.

This invention discloses a method and system for verifying the functionality of a vector processor. The method unifies matrix, vector, and scalar data formats into a matrix type using a reference model. Multi-input interface data is stored in corresponding data queues in the form of address plus data. The required computational data is extracted according to the current instruction, and unused data is stored back to the original queue. Expected output data at the clock cycle level is generated and compared with the actual output data of the vector processor to determine functional correctness. The system includes an instruction generator module, a controller module, a data generation module, a reference model module, a data collection module, and a data comparator module. This invention can improve the accuracy of vector processor fault location, simplify verification logic, and improve overall verification efficiency.

The present application provides a method and device for optimizing a CPU energy efficiency model, the method comprising: recalculating the static power consumption of each CPU frequency point at the current temperature after the CPU temperature changes; and updating the energy efficiency model according to the static power consumption. The present application scheme can accurately predict the CPU power consumption and ensure the accuracy of the energy efficiency model.

The application discloses to the elevator dispatching technical field, specifically is based on edge computing building elevator group intelligent dispatching control system, including edge computing gateway module, group control collaborative scheduling module, local real-time decision module, elevator direct connection interaction module, cloud closed loop iteration module, multi-source perception fusion module, stop optimization scheduling module, network outage autonomous operation module, the application has the beneficial effect: according to total floor and elevator quantity average stop floor is calculated, and minimum mobile journey priority algorithm is adopted adaptive scheduling, completely solve the traditional elevator random stop or only return to the first floor, the distance is too far when calling elevator, the problem of long waiting time, significantly shorten the waiting time, improve user experience, effectively avoid repeated response, bunch up and stop and idle running, improve the overall transport efficiency of elevator group, reduce equipment wear and tear and operating energy consumption.

The invention belongs to the technical field of cloud computing, and particularly relates to a server equipment load real-time prediction method. The method comprises the following steps: collecting an equipment parameter sequence of a server in a past period of time, and dividing the equipment parameter sequence into a sample sequence and a label sequence; the sample sequence and the tag sequence are preprocessed; for the preprocessed sample sequence, clustering each coverage according to the service information, so that the similar coverage is clustered into one class, and introducing a timestamp to obtain a final sample sequence; establishing a random forest regression prediction model by adopting a random forest regression algorithm; inputting the final sample sequence and the tag sequence into the random forest regression prediction model for training to obtain a trained real-time prediction model; and inputting the equipment parameter sequence of the server in the current time period into the trained real-time prediction model to obtain the current load parameter of the server. According to the method, the load prediction accuracy is effectively improved.

The invention discloses a multi-layer automatic seedbed system which comprises a rack main body and is characterized in that a motor assembly seat is fixedly mounted on the lower side of the rack main body, a servo motor is fixedly mounted on the motor assembly seat, a driving gear is arranged at the driving end of the servo motor, and the driving gear is in meshed connection with a first transmission chain; the invention relates to the technical field of automatic seedbeds, and has the beneficial effects that a multi-layer metal frame forms a framework of a system, provides stable support and realizes intensive utilization of a vertical space, and a chain and chain wheel conveying system is a key for realizing automation. The system can drive the seedling raising plates to horizontally move or vertically ascend and descend among all the layers, the space efficiency is extremely high, the most prominent advantage is that through three-dimensional stacking, the production capacity of the unit occupied area is multiplied, and the system is very suitable for intensive production in environments such as greenhouses and plants with high space cost.

The invention relates to power dispatching, in particular to a power dispatching method, which comprises the following steps of: constructing a power system historical dispatching knowledge graph containing historical dispatching data and historical dispatching knowledge data; matching the scheduling data of the scheduling day with historical scheduling data to obtain a first similarity data set of the scheduling data; matching the scheduling text data of the scheduling day with historical scheduling knowledge data to obtain a second similarity data set of the scheduling text data; fusing the first similarity data set and the second similarity data set by taking a preset time length as a unit to obtain a fused similarity data set; matching data in the fusion similarity data set with historical scheduling knowledge data, fitting to obtain a power generation curve of a scheduling day, and regulating and controlling the power system according to the power generation curve; acquiring a voltage signal and a current signal of the transformer substation in real time, and calculating to obtain a power factor; according to the technical scheme provided by the invention, the defect that the power system is difficult to accurately and timely dispatch can be effectively overcome.

The present invention provides a rescheduling method, system and device based on digital twins, wherein the method includes obtaining and comparing the sampling model at time T-1 and the deductive model at time T-1 to obtain a first deviation value; the deductive model at time T-1 is obtained based on the sampling model at time T; the digital twin model is corrected according to the first deviation value; the rescheduling threshold is corrected based on the corrected digital twin model; the rescheduling threshold is pre-stored; the sampling model at time T+1 and the deductive model at time T+1 are obtained to obtain a second deviation value; if the second deviation value does not meet the corrected rescheduling threshold, rescheduling is performed according to a preset rule. The embodiment of the present invention applies the digital twin model to the rescheduling judgment of the dynamic scheduling of the production line, so that it can better reflect the characteristics of the man-machine-material-method loop and achieve more accurate scheduling.

The application relates to the technical field of intelligent communication evaluation, and discloses a Chinese traditional culture intelligent communication effect evaluation method and system. The method comprises the following steps: analyzing original culture communication content, extracting element features such as cultural connotation, emotional color and historical background; collecting direct interaction records and indirect behavior tracks of audiences; performing grid-by-grid matching and superposition of the element features and audience feedback in a preset space-time grid; quantitatively scoring the superposition data according to preset weights and rules; introducing initial scores into a simulator based on a culture communication law model to perform dynamic evolution calculation; performing multi-round iteration optimization on the evolution result by using incremental feedback data to generate an evaluation value; and mapping the evaluation value into a correction instruction for content form, communication channel and presentation rhythm. The method realizes fine evaluation and dynamic trend prediction of communication effect in the space-time dimension, and supports accurate optimization and adaptive adjustment of a communication strategy.

The application relates to a data processing method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining a multi-dimensional feature of a data unit in to-be-processed data; obtaining a feature weight of the multi-dimensional feature according to a preset business target; obtaining a priority of each data unit according to the feature weight and the multi-dimensional feature; generating a non-uniform splitting scheme for splitting the to-be-processed data into multiple data unit combinations according to the priority of the data unit and real-time state information of each business processing node in a distributed cluster; splitting and performing parallel computing operation on the allocated data unit combinations based on each business processing node to generate a lightweight intermediate result; aggregating the intermediate results generated by each business processing node to obtain an initial result; and performing consistency checking on the initial result based on a hash function, and taking the initial result as a data processing result if the consistency checking is passed. The method can improve resource utilization.