34results about How to "Balance interests" patented technology

A lightweight structure for space application is deployable from a compact bundle of interconnected struts into a plurality of tiled substantially rectangular bays. Each bay preferably comprises four or six hinged strut members having substantially rectangular cross sections, such that a solar or other suitable blanket may be compactly nested within the bundled struts. In one aspect of the invention, the blanket is attached to two opposed strut members of a six-member strut bundle, such that the blanket is unfolded during deployment of the strut bundle into a substantially rectangular bay. In another aspect of the invention, the blanket is attached to, and held against, a single strut in a strut bundle. After the strut bundle is deployed into a substantially rectangular bay, the blanket is spread across the bay via a cable mechanism or other deployment mechanism.

The invention discloses a method for selecting an access network in a heterogeneous network. The method includes the following steps: building of a non-cooperative game model between a user and a network according to a game theory method; model solution which determines an optimizing strategy for balancing mutual interest of the network and the user; and experiment simulation and numerical analysis. A non-monotone network service quality quantization model is built by combining a gray level relevance idea and a sigmoid function in a robot study mechanism. Simulation shows that the model fits an actual heterogeneous fusion network scene, according to the non-cooperative game model between the user and the network, the strategy of balancing the mutual interest of the user and the network is adopted, and a network optimization pricing strategy is determined by solving the non-cooperative game model. In addition, the method helps the user to select the most suitable access network, accordance is provided for formulating a QoS standard of the heterogeneous network fusion system, and service requirements of different levels of the user under different scenes are met.

The embodiment of the invention relates to the technical field of communication, and discloses an order distribution method, which comprises the following steps that: the order information of a distributed cross-distribution area order is stored in a pre-established cache pool, and the order information at least comprises the position information of a distribution destination and the distributiontransport capacity information; Obtaining a to-be-allocated order, and determining a target delivery transport capacity matched with the to-be-allocated order according to the order information of theto-be-allocated order and the cross-delivery area order; And allocating the to-be-allocated order to the target delivery transport capacity. By establishing the cache pool, the cross-distribution-area orders are shared among all the distribution areas, the information of the distribution transport capacity corresponding to the cross-distribution-area orders is conveniently obtained, flexible scheduling of the distribution transport capacity of different distribution areas is achieved, and the unloaded rate of the distribution transport capacity is reduced. And when an order explosion condition occurs in a certain delivery area, the delivery pressure of the delivery area can be relieved.

The invention discloses a method and a system for nursing shift scheduling. The method is realized through a computer and includes S1, determining preset department workload, and determining whether demands of nursing personnel are agreed or not; step 2, performing automatic shift scheduling according to preset shift scheduling rules and the workload and the nursing personnel demands determined in the S1. By the method and the system, benefit balance among nursing quality, manpower cost and nursing personnel needs can be realized, requirements of any party are met under existing conditions as much as possible, and benefit maximization is realized.

The invention discloses a public electric bicycle leasing point address-selecting method based on a trip chain. The method comprises steps of: 1) acquiring the planning basic information of a public electric bicycle system to be established; 2) establishing the generalized trip cost function; 3) establishing an upper model and a lower model by considering the planner and the users of the public electric bicycle system respectively so as to construct a double-layer planning model to describe the public electric bicycle leasing point address-selecting problem; and 4) solving the double-layer planning model formed by the upper planning model and the lower planning model to obtain a public electric bicycle leasing point address-selecting scheme. The public electric bicycle leasing point address-selecting method may enhance the accuracy and reliability of the public electric bicycle leasing points, gives an impetus to the construction of associated city public electric bicycle system, and has real popularization value.

The invention discloses an automobile renting system. The system comprises an information interaction platform, a background server, a vehicle database and a tenant database. The information interaction platform is connected with the background server. The vehicle database stores vehicle model information and current location information. The background server is connected with the vehicle database. The tenant database stores history renting records of tenants. The background server is connected with the tenant database. When a tenant sends an automobile renting request to the information interaction platform, the background server reads record information in the tenant database and preferentially delimits a vehicle screening range in the vehicle database. When the tenant finishes one-time automobile renting transaction, the background server writes the renting record of this time into the tenant database. According to the system, a vehicle screening process is optimized for the preference of the tenant, the two-way selection efficiency of the tenant and a vehicle owner is improved, and the benefits of both the tenant and the vehicle owner are taken into consideration.

The invention belongs to the field of network technology, a method and system for self-adaptive schedule of virtual network resources of a multi-tenant contain cloud platform are disclosed. Based on the data center selection strategy of availability and user preference, a container pair is used to describe the communication path between containers, and each tenant is assigned to the nearest data center from the set of alternative data centers available to cloud service providers to determine the best subset of data centers for multi-tenant data placement. The server selection strategy based onapplication performance and the adaptive scheduling mechanism of network resources under the multi-tenant container cloud data center are implemented. The invention provides a cloud service environment of multi-tenant and multi-data center, in which various network resources in the container cloud platform are self-adaptively scheduled in a cooperative manner, the network resource management problem under the cloud computing environment is considered globally, and under the premise of guaranteeing the service level agreement, the benefit balance between the supply and demand sides of the cloud service is realized.

A system for generating simultaneous awareness of two separate sensor stimulation patterns (1,5,15,16, 23L,23R,24L,24R) and implementing interest measurement (20,22,7) and attention factors modification (4,10,17,18) in different left and right stimulation patterns in order to suppress stereo vision and binocular rivalry and instead facilitate simultaneous observance of both mental images (9). The user will be able to use the balance point between left and right image rivalry to maintain awareness of a simultaneous dual vision, audio, and tactile experience. Such a doubling experience can be used to:extract information and make decisions on two simultaneously observed world views.maintain two simultaneous views of different computer screens to increase performance and reduce fatigue.encourage the fusion of two different simultaneous experiences into an abstract information synthesis instead of the conventional three dimensional world view.perform measurements on interest an operator has on a left right scene content.

The invention provides a shared electric vehicle subsidy and pricing method of a two-stage master-slave game. The method comprises steps of constructing utility functions of users, governments and shared electric vehicle operators in the shared electric vehicle market, constructing a shared motorcade scale expression, and constructing constraint conditions of a game model; constructing a two-stagemaster-slave game model framework of the shared electric vehicle based on a transmission relationship among three subjects, namely the government, the shared electric vehicle operator and the user; and based on the improved particle swarm optimization algorithm, solving the Nash equilibrium point, and solving the two-stage master-slave game model to obtain a government subsidy and operator pricing result. According to the method, the influence of policy subsidy can be introduced in the process of constructing the mathematical model, and suggestions and guidance can be better provided for development of the shared electric vehicle for the domestic current situation; the Nash equilibrium solution is found by constructing the game model, benefits of all participants can be coordinated from the overall perspective, and benefit demands of all parties in the development process of the emerging industry are well balanced.

The invention provides a mobile terminal and a method with an automated replying function. The mobile terminal comprises: an automated replying trigger unit for generating the responding order according to the different selection of the users or the pre-set; a mediation module for identifying the current calling terminal type as the identifying result; an automated replying module for generating the instruction for the transmission according to the identifying result and the responding order; a digital baseband chip for receiving the replying information an encoding the information, and generating the replying information flow; a simulative baseband chip for converting the replying information code flow into the simulative signal, and modulating and transmitting the simulative signal; a radio frequency module for transmitting the modulated simulative signal. By technology of the invention, the user rather than the mobile terminal decides whether to receive or reply the information, which can combine the feeling and benefit of the user, caller, and people around, and the implementing cost is low and the practicability is strong.

The embodiment of the invention relates to a symbol sending method, a symbol sending device and a symbol sending system in cooperative multiple input multiple output (MIMO) communication in the field of communication. The method comprises the following steps that: a first group of antennae send a first group of symbols to a cell edge user; and a second group of antennae send a second group of symbols to a cell center user and the cell edge user, wherein the second group of symbols comprise symbols sent to the cell center user and symbols sent to the cell edge user by another base station. User interference is reduced effectively, the benefits of the cell center user and the cell edge user are ensured and the waste of a radio resource is avoided effectively.

The invention discloses a power system comprehensive decision-making method based on double-layer fuzzy optimization, belonging to the field of power system management. The invention provides a hierarchical decision-making method for electric power production and environmental management in electric power system planning, considers the fuzzy uncertainty of economic parameters in the system and uses a double-layer fuzzy programming method to solve the problem. In the process of solving, the decision makers at different levels control different decision variables and optimize their own objectives. Decision-makers at the upper level make decisions first, and the lower level reacts according to the decision-making results at the upper level. Therefore, the optimization method disclosed by theinvention obtains the optimal power system planning scheme by balancing the benefits of the two layers, and the optimization result disclosed by the invention can provide technical support for studying the regional power system planning, the comprehensive utilization of resources and the environmental protection.

The invention discloses a community integrated energy system double-layer optimization method considering heat supply demands of residential users, which comprises the steps of integrating a community integrated energy system double-layer optimization model of the residential users and solving a double-layer optimization scheduling problem. A community integrated energy system double-layer optimization model integrating residential users is constructed on two layers of a supply side and a demand side. Wherein the upper layer comprises an ICES operator model, a central heating network model and a power distribution network model which are coupled with a superior energy system and energy equipment such as a combined heat and power (CHP) unit, a heat pump and the like; and the lower layer comprises a thermal load model considering the heat storage characteristics of the residential building users. According to the method, the heat storage characteristic of the residential building is effectively combined, the personalized heating characteristic of the user is considered, the heat demand response adjustment of the residential building user is stimulated in the centralized heating mode, and the more economical utilization effect of heat energy is achieved.

The invention belongs to the electric power spot market electricity price prediction field, and discloses an electric power spot market marginal electricity price prediction method, system and device, and a storage medium, and the method comprises the steps: obtaining a load influence parameter of an electric power spot market prediction day, and obtaining an electric power load prediction curve of the prediction day according to the load influence parameter; obtaining quotation influence parameters of the prediction day of the power spot market, and obtaining a simulated quotation curve of each power generation enterprise of the prediction day according to the quotation influence parameters; and obtaining a prediction result of the marginal electricity price of each time node of the prediction day according to the power load prediction curve of the prediction day and the simulation quotation curve of each power generation enterprise of the prediction day. Through the power load prediction curve and the simulation quotation curve, the prediction result of the marginal electricity price of each time node of the prediction day is obtained, the accuracy of the prediction result is effectively improved, and the deviation between the prediction result and the actual result is reduced.

The invention provides an express cabinet storage resource optimization-oriented reward and penalty strategy method, and aims to solve the problem of express cabinet storage resource and express cabinet enterprise profit optimization in an express cabinet storage process. An existing express item overtime fee collection strategy of an express cabinet causes dissatisfaction of numerous users, and the users puts forward doubts on express cabinet charging behaviors. The development of the express cabinet cannot be supported by the user, and only by pushing out a charging standard which can be accepted by the user, the problems occurring in the operation process of the express cabinet can be further solved. According to the invention, reward and punishment strategies are combined, the user is motivated to pick up the parcel from the forward and reverse directions, the enthusiasm of the user to pick up the parcel is improved, and the queuing system is utilized to simulate the process that the courier puts the parcel into the express cabinet and then takes out the parcel by the user, so that the turnover rate of the express cabinet and the enterprise profit of the express cabinet are improved while the interests of the user are guaranteed.

The invention provides a method and a device for formulating a power retail package. The method comprises the following steps: acquiring various power retail package schemes of a power selling company; for any power retail package scheme, determining a risk level of the power retail package scheme, and determining a target user matched with the risk level of the power retail package scheme from the power user group; obtaining package parameters of the power retail package scheme, and setting parameter values of multiple sets of package parameters of the power retail package scheme; and determining an optimal parameter value of the target user under the package parameters of the power retail package scheme based on the historical power consumption data of the target user and the parameter values of the multiple sets of package parameters. According to the method and the device, the power retail package conforming to the target user can be formulated according to the risk level of the power package and by fully considering the risk and income conditions of the power user, so that the benefit relationship between a power selling company and the power user is balanced.

The invention relates to construction diversion scheme decision-making technologies of hydraulic and hydroelectric engineering, and provides a decision-making method for a construction diversion scheme considering flow discharge control of an upstream hydropower station for tackling defects that effects of companies in the basin in overall management decision making are not considered in traditional technologies. The method comprises the following steps of a, selecting decision-making indexes of the construction diversion scheme considering flow discharge control of the upstream hydropower station and carrying out calculation and analysis; b, recommending construction diversion schemes by upstream and downstream hydropower stations; c, giving weight vectors to the indexes according to respective preferences and establishing respective scheme evaluation functions by the upstream and downstream hydropower stations; d, based on negotiation countermeasures and optimization theories, adopting a two-stage planning method for obtaining optimal solutions in the perfect condition; e, carrying out normalization of the decision-making index matrixes and the optimal solutions in the perfect condition of the upstream and downstream hydropower stations; and f, giving weight vectors to objects considering overall benefits of the basin according to experts in related fields, and adopting a mode recognition theory method to solve the optimal construction diversion scheme.

The invention discloses an inter-domain routing system mimicry protection method based on an AS security alliance. On the basis of analyzing the basic principle and characteristics of a BGP-LDoS attack, for meeting the precondition that precise target path selection and planning are needed before the BGP-LDoS attack is implemented, the security alliance is established by AS nodes in an inter-domain routing system by using the mimicry security defense thought as reference, an AC is internally recommended as a control node after the alliance is established, the alliance nodes report to the AC and share the connection relation and the forwarding capacity of the nodes and links and resources such as the link bandwidths, and the AC acquires k optimal paths that nodes out of the alliance pass through the alliance through a genetic algorithm; and then actual communication path random changing is conducted in the alliance according to security threats, path adjusting and shunting are conducted according to the system implementation conditions and the in-alliance resource constraints, and due to the fact that the alliance internally displays that the actual path changes and externally displays that the path keeps invariable, dynamic defense to the BGP-LDoS attack is achieved.

The invention discloses a multi-integrated energy community energy scheduling system and method based on a source-load matching degree. The system comprises a management center and a plurality of integrated energy communities, and electric energy interaction and information interaction are carried out between the integrated energy communities, and between the integrated energy communities and the management center. The management center enables the comprehensive energy communities to carry out power interaction system supply and demand balance according to a source-load matching strategy; when the electric energy interaction among the integrated energy communities still cannot meet the load demand, the management center purchases electricity from the power grid; the management center establishes a matching index to realize quick docking between vacant communities and surplus communities in the same time period, so that communities with high transmission loss ratio due to less interaction energy are eliminated, and information circulation is reduced; with the purpose of minimizing the scheduling cost of a single integrated energy community and the interaction cost of multiple integrated energy communities, the solved optimal scheduling result can effectively reduce the total operation cost of the integrated energy communities, and benefit balance among the subjects is considered while the subjects pursue the maximum benefit.

The invention discloses a voltage sag insurance mechanism confirming method for a sensitive power user, and the method comprises the following steps: constructing a multi-attribute decision matrix ofa decision making subject for a decision theme on the basis of the decision scheme and decision attributes of the decision making subject, and converting the multi-attribute decision matrix into a standard matrix, wherein the decision attributes comprise insurance premium, net income, payment amount, and risk taking degree; calculating decision attribute weights; calculating decision values of alldecision makers on the decision scheme; sorting the decision values to determine the most feasible decision theme. The two-stage multi-target decision making method is employed, and the method integrates multiple types of attribute information. The preference degree of the scheme is optimized, and the attribute weights are obtained, thereby solving a problem that the subjectivity of the weights is high. The method achieves the evaluation of the preference degree of each subject for different mechanisms, and achieves the concluding and unifying of the scattered evaluation information of all subjects. The clear and high-feasible voltage sag insurance mechanism improves the insurability, improves the recognition degree of each side for the insurance mechanism, reduces the loss of each side,and improves the feasibility.

The invention discloses an electric power system economic emission scheduling method based on collaborative normalization, which comprises the following steps of A, generating M candidate solutions, and calculating the fuel oil cost, the waste gas emission amount and the constraint violation amount of the candidate solutions; B, carrying out collaborative normalization processing on the candidatesolutions; C, selecting the candidate solution with the minimum penalty function value as the optimal solution; D, if the constraint violation quantity of the optimal solution is 0, determining that the optimal solution is the optimal power system economic emission scheduling scheme meeting all constraint conditions, and otherwise, repeating the steps A to C. According to the method, the physicalquantity line, the magnitude order and the improvement potential difference between the fuel oil cost and the waste gas emission are eliminated through a collaborative normalization method, the problem that cost saving and pollution reduction are difficult to achieve at the same time in the power generation process is effectively solved, the electric energy utilization rate is increased, and the power supply and demand balance is guaranteed.

The invention belongs to the field of network technology, and discloses a multi-tenant container cloud platform virtual network resource self-adaptive scheduling method and system, based on availability and user preference data center selection strategy, using container pairs to describe communication paths between containers, from cloud services Starting from the set of alternative data centers available to the provider, assign each tenant to the nearest data center, determine the best subset of data centers for multi-tenant data placement; implement server selection strategies based on application performance and multi-tenant container cloud data An adaptive scheduling mechanism for network resources under the center. The present invention proposes a multi-tenant and multi-data center cloud service environment, in which various network resources in the container cloud platform are adaptively scheduled in a cooperative manner, and overall consideration is given to network resource management issues in the cloud computing environment, while ensuring service levels Under the premise of the agreement, the balance of interests between the supply and demand sides of cloud services is realized.

The invention discloses a state-controllable article renting method and system and a storage medium, and the method comprises the steps: receiving an operation instruction, sent by a user, for borrowing a rented article, remotely controlling the rented article to enter an available state, and accumulating a first rent according to a first unit rent; receiving an operation instruction sent by the user for pausing the leased item, remotely controlling the leased item to enter a locking state, and accumulating a second rent according to a second unit rent which is smaller than the first unit rent; and receiving an operation instruction of returning the leased item sent by the user, and calculating a final rent according to the first rent and the second rent. According to the method provided by the invention, by remotely controlling the state of the rented item and setting the rent of the first unit and the rent of the second unit, the benefit relationship between a product owner and a renter is balanced, and the effect of a benefit balance principle is basically realized through technical improvement.

The present invention provides a method, device, equipment and medium for detecting outliers of multi-dimensional data. The method includes: S1, extracting multi-dimensional data of different dimensions that the detection target needs to participate in calculation; S2, checking whether each dimension data obeys a normal distribution, If not, perform data transformation to make the transformed data of each dimension obey the normal distribution; S3. Calculate the initial Mahalanobis distance of the multi-dimensional data that has obeyed the normal distribution based on the average value of the data in each dimension; S4. Pass The adjustment coefficient is used to adjust and calculate the initial Mahalanobis distance to obtain the adjusted Mahalanobis distance; S5, determine the outlier value of the adjusted Mahalanobis distance according to a predetermined rule. The invention can consider multi-dimensional data at the same time, avoid differences caused by single one-dimensional data, so that the detection of outliers is more comprehensive, scientific, accurate and systematic, and high and low outliers can be distinguished according to the results.

The invention relates to a regional integrated energy system optimization scheduling method for fuel characteristics of a plug-in hybrid electric vehicle, which is characterized in that a main power system and a slave power system of a power system of the plug-in hybrid electric vehicle are considered at the same time, in the main power system, a battery pack stores electric energy under the action of a charging device, and in the slave power system, the main power system stores the electric energy; electric energy is transmitted to a motor to be utilized, and in the slave power system, an engine utilizes chemical energy of gasoline in an oil tank; the power consumption characteristics and the fuel oil characteristics of the two sets of power systems cooperate with each other, so that the driving rule of the vehicle is more flexibly changed, and the charging load of the vehicle is dispatched; fuel oil characteristics of the plug-in hybrid electric vehicle are considered in a regional integrated energy system, benefits and requirements of the integrated energy system and a new energy vehicle user are considered, the utilization rate of integrated energy and the consumption rate of renewable energy are improved, load fluctuation is reduced, and the power supply reliability of the system is enhanced.

The invention discloses an intelligent logistics transmission system based on a block chain, which comprises a block chain storage module, a value evaluation module, a loss control module and a process confirmation module, and is characterized in that the block chain storage module is used for storing fresh flower information, and the value evaluation module is used for evaluating the actual value information of fresh flowers; the loss control module is used for evaluating the normal loss value of fresh flowers in express transportation, the process confirmation module is used for verifying the order process of online fresh flower purchase, and the value evaluation module, the loss control module and the process confirmation module are all in network connection with the block chain storage module. The block chain storage module comprises a value input module, a category input module, a transportation condition input module and an order input module, the value input module is used for the merchant to input and store the value of the fresh flowers, the category input module is used for the merchant to input and store different fresh flower categories, and the system has the advantages of being low in transportation loss and balanced in benefit.

The invention discloses a comprehensive decision-making method for a power system based on double-layer fuzzy optimization, which belongs to the field of power system management. The invention proposes that in power system planning, power production and environmental management are layered for decision-making, and the fuzzy uncertainty of economic parameters in the system is considered, and a double-layer fuzzy programming method is used to solve the problem. In the process of solving, decision makers at different levels control different decision variables and optimize their respective goals; the decision makers at the upper level make decisions first, and the lower levels react according to the decision results of the upper level. Therefore, the optimization method disclosed in the present invention obtains the optimal power system planning scheme by balancing the interests of the two layers, and the optimization results disclosed in the present invention can provide technical support for power system planning, comprehensive utilization of resources and environmental protection in the research area.

The invention discloses a mobile edge computing task unloading and resource scheduling method based on game theory. The method aims at jointly minimizing the energy consumption of the mobile edge computing server and user delay, and models the user task unloading and resource scheduling problems as For a specific optimization problem, construct a computing system based on multi-user task offloading with different task offloading priorities, and build a migration model by offloading multi-user tasks to an edge base station. In a specific optimization problem, the game theory is used to solve the transmission rate and cost coefficient as constraints, and the task offloading method is designed with the ultimate goal of minimizing server energy consumption. This method can effectively balance the interests of users and the system, and provide a guarantee for the implementation of task offloading in mobile edge computing systems.

The invention discloses a frequency stability load shedding strategy optimization method and device based on a game model, and belongs to the technical field of power systems and automation thereof. The method comprises: on the basis of obtaining active power vacancy and cuttable load information, providing a load shedding priority and load loss cost calculation model; establishing a non-cooperative game model for representing a behavior of pursuing load loss cost minimization by each load user; converting the non-cooperative game of the multi-load users into a load shedding multi-objective optimization problem under a load shedding quantity accuracy constraint condition, and establishing a load shedding control optimization model based on the multi-load user game; and finally, solving anoverall optimal solution of the load shedding control multi-objective optimization model by adopting an NSGA-II algorithm. According to the method, the load shedding strategy which meets the requirement of the control quantity, is small in user loss and is flexible to control can be optimized and analyzed, and the purposes of benefit balance and accurate load shedding quantity among load users areachieved under the condition that normal operation of important loads is guaranteed.