53 results about "Static optimization" patented technology

The invention provides a method for distributed control of centralized clustering formation of an unmanned-plane cluster. The method includes the following steps: 1. determining unmanned-plane-cluster task nature of each task in a task chain and determining a feasible unmanned-plane formation form according to a flying environment; 2. establishing a formation optimization priority set for the unmanned-plane cluster from the feasible formation form and modeling, and determining static or dynamic optimization priority sets of different tasks according to different task targets; 3. according to optimization indexes of the tasks, selecting an optimal task formation or a suboptimum task formation, which complies with performance indexes, from a formation method of the static optimization set or the dynamic optimization set. The method for the distributed control of the centralized clustering formation of the unmanned-plane cluster is capable of efficiently, intelligently and flexibly changing and selecting a coordinative formation of an unmanned-plane cluster and has the advantages of being safe, stable and reliable.

The invention discloses a hard real-time fault diagnosis method and a hard real-time fault diagnosis system and relates to the field of real-time engineering system fault diagnosis. The calculation efficiency for diagnosing the rule is improved by fully using information of a test process. The method disclosed by the invention mainly comprises the steps of performing static optimization on a fault rule in a knowledge base file to generate an optimized knowledge base file; resolving the optimized knowledge base file to generate a dynamic knowledge base; searching the dynamic knowledge base according to acquired fault diagnosis sign data; judging whether the fault diagnosis time is larger than a soft time threshold value during testing and training, if the fault diagnosis time is larger than the soft time threshold value, generating a new rule base file through a fault diagnosis result serving as a second component and a first fault diagnosis component, and storing the new rule base file into the knowledge base file; during arrangement and use, judging whether the fault diagnosis time is larger than a hard time threshold value, if the fault diagnosis time is larger than the hard time threshold value, ending the current fault diagnosis. The embodiment of the invention is mainly used in a hard real-time fault diagnosis process.

The invention discloses a multi-time scale optimization operation method for a combined cooling heating and power system, and the method comprises the steps: building an electric energy static optimization model of the combined cooling heating and power system with the comprehensive optimization of the operation cost, the energy utilization rate and the emission of the combined cooling heating andpower system as an optimization target; taking t as an electric energy optimization period to predict renewable energy power generation output and an electric load; solving the electric energy staticoptimization model of the combined cooling heating and power system by adopting a particle swarm algorithm, and determining the output of each device in the combined cooling heating and power system;establishing a heat / cold energy dynamic optimization model based on heat storage by taking the comprehensive optimization of the operation cost, the energy utilization rate and the emission of the combined cooling heating and power system as an optimization target and considering the inertia of heat / cold energy flow; and using k as a heat / cold energy flow optimization period, asopting a dynamic planning method to solve the dynamic optimization model, and determining the output heat power and the heat storage power of the generator set.

The invention relates to a dynamic binary translation method combined with static optimization. The method comprises: inserting a detection instruction into a translated code during the first execution of a source program; collecting abundant subdivision information and realizing persistence of the subdivision information and translated object codes at the end of program execution; carrying out various optimizations of the translated object codes in a static state by means of stored subdivision information; and directly loading the optimized object codes during executions after that of the program. The novel translation mode provided by the invention can eliminate profiling generated during the operation of a dynamic binary translator, optimize overhead and reduce translation overhead; through execution of optimization in a static state, the dynamic binary translation method can make use of comprehensive subdivision information without taking optimization overhead into consideration and improves the quality of optimized codes, thereby obviously improving program performance during second and subsequent executions.

The invention discloses a method for evaluating spatial information service quality and optimizing a service chain. The method comprises the following steps: establishing a spatial information service element evaluation system at first, obtaining various element values through a service agent, and publishing finally quantified result data to a directory service centre. On the basis of directory service quality data, a spatial information service chain ensures that the whole QoS of the service chain is optimal through static optimization in a construction process and dynamic optimization in an operation process; the static optimization is as follows: an optimal service combination is searched by utilizing an optimization selection algorithm when local and global QoS constraint conditions are satisfied; and a specific server is bound to an abstract model; and the dynamic optimization is as follows: the service chain is dynamically monitored in the service chain operation process; the found QoS abnormal change condition is re-planed; and thus, smooth execution of the service chain is ensured. The method disclosed by the invention can assist users to find and select high-quality spatial information services from similar services so as to complete complex geographical processing tasks.

The invention relates to a micro-grid energy optimization and evaluation method based on a full energy flow model. The method includes following steps: (1) building the full energy flow model: including energy and energy flow analysis; energy conversion link analysis, energy distribution link analysis, energy storage link analysis, and energy utilization link and energy management link analysis; (2) building a full energy flow network model; (3) performing energy optimization management based on the full energy flow network model including energy static optimization management and energy dynamic optimization management; (4) establishing an index system of the full energy flow model; and (5) performing comprehensive evaluation of the full energy flow model. According to the method, processes of generation, conversion, transmission, storage, and utilization of different types of energies in a micro-grid are described via the manner of digital abstract representation, the index system is established, the micro-grid energy optimization method is proposed, unified quantification of different types of energies is realized via digital representation of energy flow, and comprehensive analysis and evaluation of energy efficiency utilization of overall and partial links are performed.

The invention relates to a method for panning a wavelength routing optical-fiber network of dynamic state service, belonging to the technical field of network communication. Parameters needed by the plan of the optical-fiber network are set and input, the number of transceivers of each optical cross connect node and multiplexing wavelength value of each optical fiber in an optimal optical-fiber network in a static state are obtained by using a static optimization method and taken as the input of dynamic service analogy, and then the blocking rate of the network is obtained. The strength of service randomized jitter is regulated according to the blocking rate of the network, and the plan of the optical-fiber network can be completed by using the static optimization method for a plurality of times. The method has the advantages that based on the static optimization method, the method can ensure the overall optimization character of the panning results, meanwhile, the wavelength routing optical-fiber network which is obtained by the plan can adapt to service dynamic performance through the verification of the blocking rate, thus ensuring the blocking rate of lower network of the dynamic service to be lower than the upper limit of the blocking rate.

The invention provides a system and method for controlling the operation of a flotation industrial process under a dual-network environment. The system comprises a PLC system, an operation optimization control computer and a DSC monitoring computer. The method comprises the steps that mineral earnings, mineral consumption, target economic indicators, concentrate grade target values and tailing grade target values are set; mud height, mud quality, foam quality, feeding pulp flow and tailing flow are obtained in real time and are transmitted through an industrial Ethernet; static optimization and dynamic optimization are carried out on the concentrate grade target values and the tailing grade target values; the operation of the flotation industrial process is controlled according to the optimization value of the concentrate grade target values and the optimization value of the tailing grade target values. The preset economic indicators can be tracked, and the effect that economic benefits are controllable is achieved. The operating layer of the whole system is stable within a certain packet loss probability range and a certain noise amplitude value, and the residual error is small or is avoided in the stable state.

The invention discloses a dynamic-static optimization method of the milling stability of a numerical control machine tool. According to the method, static and dynamic optimization of a milling processNC code can be realized based on a machine tool state self-decision expert system and a stability lobe diagram. The method includes following specific steps: operation parameters of the machine toolare acquired in real time by employing a distributed wireless sensing system, and the obtained parameters are input into a database; the machine tool state self-decision expert system learns and fusesreal-time data information, updates state parameters of the machine tool, and establishes the stability lobe diagram for the NC code; and static and dynamic optimization of the milling process of themachine tool can be developed on the basis. According to the method, the milling process of the NC code is optimized, the method is more rapid and convenient compared with the conventional optimization method, the machining efficiency can be effectively guaranteed, and good universality is achieved for multi-axis linkage numerical control machine tools of various different control systems.

The invention relates to a ship navigation data high-efficiency visual analysis method in a cloud environment. The method includes the following steps: 1, designing an HBase-oriented cloud storage mode; 2, establishing a ship transportation visual analysis body, and designing an HBase-based OWL body storage mode; 3, designing a cloud service description model for ship navigation visual analysis features; 4, describing user visual analysis function requirements and QoS requirements; 5, selecting visual analysis cloud services according with the user function requirements and the QoS requirements, designing mapping functions within the cloud services and among the cloud services, and dynamically constructing a visual analysis cloud service optimized combination model; 6, establishing a ship navigation visual analysis global process model and a local process model to realize static optimized division of processes; and 7, constructing a multi-target optimizing model, completing dynamic adjustments of local processes, and realizing visual analysis of ship navigation data. The visual analysis process implementation efficiency for ship navigation data is improved effectively.

The invention discloses a method for separating and purifying erythritol from a yeast fermentation broth. The preparation method provided by the invention comprises the following steps of: pretreatment of a fermentation broth, treatment of a liquid supernatant, desalting, column liquid concentration, crystallizing and re-crystallizing. According to the method provided by the invention, the erythritol yield is taken as an index, a static optimization method combining a single factor experiment and an orthogonal experiment is adopted, so that a purifying process is optimized; and the method hasrational process conditions and good effect stability. The method for separating and purifying the erythritol from the yeast fermentation broth can solve the problems as follows: the traditional manufacturing process of the product is complicated, a lot of soluble proteins and macromolecular organic matters in the fermentation broth cannot be separated, the yield is low and the like; and the method has the advantages of moderate conditions, short production period, white color and luster of the product, high purity, easiness of industrial production and the like.

The invention provides a static optimization method of power gathering and output electric capacity of a wind power station group, aiming at the problem that the power output electric capacity is not enough and wind power cannot be used for generating electricity by networking of most wind power stations in China. The integral fluctuation characteristic of the output power of a wind power station group is presented by a cumulative annual power output curve of the wind power station, an optimized power transmission capacity objective function optimizing the overall benefit of a power transmission project is established by comprehensively considering factors of power transmission benefit, power transmission construction cost, wind abandoning loss caused by blockage, and the like, and an optimal wind power gathering and output power transmission capability is determined according to the function. The invention provides an effective static evaluation method for the selection of the power output and power transmission capability of kW level wind power bases and can ensure that the comprehensive income of a wind power output and power transmission project reaches the maximization.

The invention provides a method for setting and online optimizing technological parameters of the production process of a continuous annealing unit and belongs to the technical field of automatic control over continuous annealing units of iron and steel enterprises. The method includes the following steps that the main task of the static optimization stage of the production technological parameters of the continuous annealing unit is to determine the optimal values of the technological parameters of the continuous annealing unit before strip steel production, and the main task of the online dynamic optimization stage of the production technological parameters of the continuous annealing unit is to monitor the production operation state and rapidly obtain the new optimal set values of the technological parameters when the state changes. According to the method, the four evaluation indexes of product quality, energy consumption, unit production efficiency and the annealing technological procedure execution level are taken into consideration at the same time, it can be guaranteed that the continuous annealing unit operates under the optimal technological parameters of the continuous annealing unit all the time in the dynamic production process, and therefore human experience deficiencies are made up for, and the method assists the continuous annealing unit in improving the product quality, reducing energy consumption and improving the production efficiency of the unit.

The invention relates to a dynamic environment-based fleet air defense resource scheduling optimization control method and system. By performing assessment on disturbance types and intensity in a taskexecution process, fleet air defense resource scheduling optimization control is realized in a global static optimization and local dynamic adjustment combination mode according to the disturbance types and intensity. Local adjustment or global optimization can be flexibly selected according to the disturbance intensity, so that frequent global optimization is avoided, a task plan can be timely adjusted, and the fleet air defense resource scheduling optimization control is realized.

The invention discloses a high-speed pantograph structure parameter optimization method which comprises the following steps of 1, determining the pantograph working performance influence factors, and respectively constructing a kinematics optimization model, a statics optimization model, a dynamics optimization model and a control science optimization model of a pantograph; 2, establishing an integrated optimization model according to the model obtained in the step 1; 3, solving the integrated optimization model obtained in the step 2 to obtain an optimization result of an independent variable; and 4, establishing a three-dimensional model of the pantograph according to the optimization value of the variable, and carrying out finite element analysis to complete the optimization of the pantograph. According to the present invention, on the basis of a complete theoretical model, the interaction of various factors is fully considered, and compared with the serial design, the design result better meets the requirements of the practical engineering.

The invention discloses an intelligent optimization dispatching system for special vehicles for oil production plant production based on things of internet. The system comprises an auxiliary decision module, a mobile phone communication module and an intelligent handheld terminal; the auxiliary decision module comprises static and dynamic special vehicle optimization dispatching subsystems; the static special vehicle optimization dispatching subsystem generates static dispatching schemes by adopting artificial experience and a dispatching method based on an intelligent static optimization algorithm respectively and automatically comparing various index parameters of different static dispatching schemes to obtain an optimal static dispatching scheme; the dynamic special vehicle optimization dispatching subsystem generates dynamic dispatching schemes by adopting artificial experience and a dispatching method based on an intelligent dynamic optimization algorithm respectively and automatically comparing various index parameters of different dynamic dispatching schemes to obtain an optimal dynamic dispatching scheme; and the mobile phone communication module receives vehicle and task state updating information reported by the intelligent handheld terminal and sends the optimal static dispatching scheme and the optimal dynamic dispatching scheme to the intelligent handheld terminal. The system can improve the dispatching effect of special vehicles and ensure the timeliness of production.

The invention discloses a method for fermenting and producing 2,3-butanediol. Inoculate the Serratia marcescens seed liquid into the culture medium, introduce air, stir, and control the RQ between 0.9 and 1.2; then add the product promotion factor, add sucrose aqueous solution and amino acid aqueous solution, and control the RQ between 1.5 and 1.8 Between; finally added sucrose aqueous solution to control the RQ between 1.9 and 2.2, and fermented and cultured to obtain the fermentation culture liquid containing 2,3-butanediol. The method of the present invention adopts the static optimization method combining single factor experiment, orthogonal experiment and response surface experiment, optimizes the culture medium, and uses RQ to regulate and produce the production of 2,3-butanediol, and through stage-by-stage regulation, makes The output of 2,3-butanediol has been greatly increased, the output of 2,3-butanediol has reached more than 107g / L, the conversion rate has reached more than 0.45g / g suc, and the production capacity has reached more than 2.91g / L·h, which has industrialization promotion Applied prospects.

The invention relates to a photovoltaic power station group output power transmission capacity static optimization method based on stored energy. In order to solve the problems that current photovoltaic power station group output power capacity is not reasonable in distribution and the using rate is low, the photovoltaic power station group output power transmission capacity static optimization method is based on photovoltaic power station active power output characteristics and load characteristics, factors such as power transmission earnings, power transmission line building cost, energy storage system cost, reduction of reserve capacity and environmental influences are comprehensively considered, an optimization function with maximization of the comprehensive investment revenue of a power transmission system as a target is built, and the photovoltaic power station output power transmission capacity is accordingly optimized. The photovoltaic power station group output power transmission capacity static optimization method has the advantages of being scientific, reasonable, high in applicability, maximized in comprehensive revenue and the like.

The invention discloses a power distribution network optimal dispatching control method for enabling a distributed power supply to be consumed to the maximum degree. In order to achieve the target of maximum consumption of the distributed power supply, basic distributed power supply consumption regions are divided step by step through the method according to the installed capacity and peripheral loads of the distributed power supply. During power distribution network optimal dispatching analysis, the boundaries of the distributed power supply consumption regions are dynamically adjusted according to power generation prediction of the distributed power supply. Meanwhile, aiming at the distributed power supply consumption regions, a complex power distribution network topology is simplified based on the graph theory, the load curve characteristics in the consumption regions are analyzed, optimal dispatching time slicing is determined, through the time decoupling technology of dynamic space partitions and multiple time periods in the space dimension and the time dimension, a multi-dimension dynamic optimization problem is equivalent to a time section static optimization problem aiming at fixed space partitions, the problem is solved through an optimization algorithm, and a power distribution network operation optimization strategy is determined through a dynamic programming method.

The invention relates to a quick multivariable predication control method for an ethylene cracking furnace. The method has an offline link and an online link. In the offline link, a dynamic mathematic model and a static mathematic model of a production process of the ethylene cracking furnace are obtained through an analysis or recognition method and control parameters are set. In the online link, a prediction value is calculated and output according to a measurement value of an ethylene cracking furnace control system (DCS), a predication error is calculated based on the difference between the predication value and the measurement value and accordingly a static output predication value is corrected; and then a static control input predication value is calculated through static optimization or a direct inversion method; and finally a control input value of a current moment is calculated according to a given control parameter, the dynamic performance of the control input value is corrected through a lead-lag link and the corrected value is then transmitted to the DCS. According to the invention, the calculation complexity for multivariable prediction control is simplified and the control period of multivariable prediction control is reduced distinctively, and control problems in quick reaction processes of the ethylene cracking furnace and the like can be solved effectively.

The invention belongs to the technical field of mobile communication dynamic networking, and particularly relates to a D2D communication dynamic relay selection method based on social relations. The invention relates to theoretical frameworks such as D2D relay, Lyapunov Optimization, energy efficiency and the like. Based on the social relation, the present invention proposes an energy efficiency benefit function that comprehensively considers the effects of the physical layer and the social layer in an orthogonal frequency division multiple access (OFDM) uplink scenario, and increases the timeaverage minimum rate constraint, using the Lyponov Optimization optimization framework, so as to analyze a dynamic optimization problem under this long-term nonlinear constraint. Compared with a traditional static optimization target relay selection scheme, the method achieves better balance between the physical performance and the social relation of the system, and is more stable and efficient in long-term performance optimization.

The invention discloses a gimbal ring structure lightweight design method suitable for an additive manufacturing forming technology. Structural characteristics, boundary conditions and stress workingconditions of a gimbal ring product are analyzed; an initial model suitable for gimbal topological optimization is established, and an optimization design area is determined; a gimbal optimal force transmission path and a material distribution initial model are obtained in combination with static optimization analysis, a design criterion considering a gimbal optimal topological structure and a good forming quality balance condition is provided, and a brand-new lightweight design model structure based on additive manufacturing is obtained.

A production process parameter setting and online optimization method of a continuous annealing unit belongs to the technical field of automatic control of continuous annealing units in iron and steel enterprises, including the main task of the static optimization stage of the production process parameters of the continuous annealing unit is to determine the continuous annealing process before strip production. The optimal value of the process parameters of the unit; the main task of the online dynamic optimization stage of the production process parameters of the continuous annealing unit is to monitor the production and operation status, and quickly obtain the optimal setting value of the new process parameters when the status changes. The present invention simultaneously considers the four evaluation indexes of product quality, energy consumption, production efficiency of the unit, and execution degree of annealing process regulations, and can ensure that the continuous annealing unit always operates under the optimal process parameters of the continuous annealing unit during the dynamic production process, thereby Make up for the lack of manual experience, help continuous annealing units to improve product quality, reduce energy consumption, and improve unit production efficiency.

The invention discloses a layered progressive design optimization method for a power system of an electric vertical take-off and landing aircraft. The method comprises the following steps: extracting task profile power and energy consumption requirements based on the electric vertical take-off and landing aircraft (eVTOL); designing parameters of the electric power system based on static optimization; and optimizing parameters of the electric power system based on power matching. According to the method, based on hierarchical progressive design of energy conversion and power matching, the defects of a traditional model selection and design method in the aspects of model precision and electrodynamic force performance improvement are broken through, the power system design optimization problem of eVTOLs of different configurations under the condition of a given flight task is solved, the output performance of a power system is improved, the total mass of the eVTOLs is reduced, and the cruising ability of the eVTOL is improved, and the application scene is expanded.

The invention relates to a static state optimization method for a DC power grid line transmission power. The method comprises steps that 1, a DC power grid rack model is established; 2, a network equalization optimization principle for the DC power grid line transmission power is determined; 3, a static state optimization mathematics model for the DC power grid transmission power is established; and 4, an optimization mathematics model is solved. Through the method, power transmission requirements between each power source and a load can be distributed to each transmission line and a converter station, the transmission power can realize optimal distribution along DC lines, power static state distribution optimization in the whole DC power grid scope is realized, various power source, power grid and user requirements can be satisfied, and DC power grid advantages can be realized.

The invention discloses an intelligent optimization dispatching system for special vehicles for oil production plant production based on things of internet. The system comprises an auxiliary decision module, a mobile phone communication module and an intelligent handheld terminal; the auxiliary decision module comprises static and dynamic special vehicle optimization dispatching subsystems; the static special vehicle optimization dispatching subsystem generates static dispatching schemes by adopting artificial experience and a dispatching method based on an intelligent static optimization algorithm respectively and automatically comparing various index parameters of different static dispatching schemes to obtain an optimal static dispatching scheme; the dynamic special vehicle optimization dispatching subsystem generates dynamic dispatching schemes by adopting artificial experience and a dispatching method based on an intelligent dynamic optimization algorithm respectively and automatically comparing various index parameters of different dynamic dispatching schemes to obtain an optimal dynamic dispatching scheme; and the mobile phone communication module receives vehicle and task state updating information reported by the intelligent handheld terminal and sends the optimal static dispatching scheme and the optimal dynamic dispatching scheme to the intelligent handheld terminal. The system can improve the dispatching effect of special vehicles and ensure the timeliness of production.

The invention provides a method for distributed control of centralized clustering formation of an unmanned-plane cluster. The method includes the following steps: 1. determining unmanned-plane-cluster task nature of each task in a task chain and determining a feasible unmanned-plane formation form according to a flying environment; 2. establishing a formation optimization priority set for the unmanned-plane cluster from the feasible formation form and modeling, and determining static or dynamic optimization priority sets of different tasks according to different task targets; 3. according to optimization indexes of the tasks, selecting an optimal task formation or a suboptimum task formation, which complies with performance indexes, from a formation method of the static optimization set or the dynamic optimization set. The method for the distributed control of the centralized clustering formation of the unmanned-plane cluster is capable of efficiently, intelligently and flexibly changing and selecting a coordinative formation of an unmanned-plane cluster and has the advantages of being safe, stable and reliable.

The invention discloses a website intelligent optimization promotion system in the technical field of website promotion. The system comprises a data server, a data acquisition module, a matching module, a classification module, a regulation and control module, a statistical analysis module. The regulation and control module comprises an optimization module; a generation module, an adjusting module; the promotion website optimization module comprises a keyword optimization module, a picture optimization module, a page optimization module, a link optimization module and a static optimization module; the system further comprises a customer service assembly, different optimization objectives of different promotion channels are determined, fine regulation and control are achieved, promotion websites are optimized, the promotion websites are made to meet the requirement for ranking collection of a search engine, keyword ranking is improved in the search engine, and therefore accurate users are attracted to enter the websites.

The invention provides a parameter adjusting method during load rise of a solid oxide fuel cell. The method comprises the step of: when the external load power of the solid oxide fuel cell is increased, searching an optimal operation point of initial power P0 and final power P1 under a static condition through adopting a static optimization algorithm on the basis of fixed fuel transmission delay time of the solid oxide fuel cell. According to the parameter adjusting method, the optimal operation point under different power conditions can be determined, current switching tracks of a stack under the condition that power switching is not passed are obtained, and reference is provided for management of a hybrid power system of an SOFC system and other energy systems.