35results about How to "Benefit optimization" patented technology

This invention provides various combinations of enzyme replacement therapy, gene therapy, and small molecule therapy for the treatment of lysosomal storage diseases.

One embodiment of the present invention provides a system for privacy-preserving sharing of data for secure collaboration. During operation, the system obtains a first set of data describing network events associated with one or more network addresses. Next, the system negotiates with a potential partner to determine a metric for deciding whether to share data. The potential partner is associated with a second set of data describing network events. The system then computes a value for the metric in a privacy-preserving way, based on the first set of data and the second set of data. Subsequently, the system determines whether the metric value exceeds a predetermined threshold, and, responsive to determining that the metric value exceeds the predetermined threshold, the system shares the first set of data with the potential partner, while controlling how the data should be shared to optimize benefits and risks of collaboration.

The invention discloses a multi-fragment active clearing online re-planning algorithm which comprises the following steps of (1) building a multi-fragment directed connected path expression and formulating a set of on-orbit emergencies; (2) combining the set of the on-orbit emergencies and formulating an online re-planning model; and (3) solving a simulation model in the step (2) by adopting a very fast simulated annealing algorithm to obtain an optimal route. The online re-planning algorithm can be suitable for task optimization under various on-orbit emergencies based on multi-fragment active clearing of subsatellite and parent satellite; benefit maximization under the rated condition of on-orbit resources is achieved by adopting the maximum priority as a re-planning target; a simulated annealing algorithm is improved, the fast online re-planning method is designed, and the on-orbit corresponding requirements are achieved; basic re-planning is provided for the condition of not changing the task time, and an optimal solution for coping with the emergencies is searched; and supplementary re-planning is provided for the condition of capable of prolonging the task time, and a maximal benefit solution after the emergencies is searched.

The invention discloses a joint optimization method for constant temperature control intelligent load, which comprises the following steps: 1), collecting the required temperature range of the user's electric water heater, the required temperature of the user's air conditioner, time-of-use electricity price data, and the water quality of the user's electric water heater; Water heater working hours; 3) Establish an association model for the demand temperature of electric water heaters and air conditioners; use the association model to obtain the optimal control strategy with the lowest total cost of electricity for electric water heaters and air conditioners. The present invention aims to comprehensively consider the correlation between user (temperature) requirements among different types of constant temperature control intelligent loads, so as to realize the overall optimization of users including power consumption costs and (temperature) requirements.

The invention discloses an intelligent city operation method and system based on a multi-source task line, and the method mainly comprises: splitting any one data analysis and operation demand in theoperation of an intelligent city into a local calculation task line and one or more cloud calculation task lines; according to the principle of optimal utility, determining the data calculation amountand the calculation thread number of the cloud server, and further determining the number of task threads which can be borne by the cloud server and the expected completion time of the task threads;and distributing the split cloud computing task line to a proper cloud server according to a mode of maximizing and paralleling the local computing task line and the cloud computing task line requiredby a data analysis operation. The system mainly comprises a cloud server, a local terminal, a task scheduling controller and a coordinator. Through the system and the method, the calculation task isexecuted by multi-task line calculation, the calculation and transmission efficiency is improved, and the overall benefit is maximized.

The invention discloses a wind farm power control method with constraints and multi-objective optimization, comprising the following steps: step a, obtaining the actual output power P of the wind farm at the current moment real ; Step b, generate multi-objective optimization control command ν; Step c, determine the adjustable power constraint range of each fan; Step d, set the fan control efficiency matrix B; Step e, judge whether the power output command issued by the dispatch is executable, If it is executed, go to step f, otherwise return to step a; step f, establish an objective function J that contains constraints and can optimize multiple objectives at the same time; step g, use the swarm intelligence algorithm to solve the objective function J, and obtain the constraint conditions and optimization objectives at the same time The optimal solution u is used as the power output command of each wind turbine; step h, after the wind turbine unit executes the command action, return to step a. The invention provides a constrained multi-objective optimization wind farm power control method, which can simultaneously set up multiple optimization objectives and obtain an optimal power control scheme, so as to optimize the income obtained by the wind farm.

The present invention relates to a blade defect detection method, comprising the following steps: S100a, acquiring an overall target image of the blade; S200a, detecting the surface of the blade based on an optical detection method and detecting defects under the skin of the blade by an active infrared detection method; S300a, Detected defects are marked on the target image. The beneficial effects of the present invention are: the defects on the surface of the blade and under the skin can be detected through optical and infrared detection, and the defects are marked in the overall image of the blade, which is beneficial to check the status of the blade in the later stage. When the blade is inspected, the marked defects can be focused on. Compared with manual inspection, this method has high detection accuracy and small error, and can detect internal defects that cannot be observed by naked eyes.