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35results about How to "Benefit optimization" patented technology

Coal gas, tar, semi-coke and steam poly-generation method based on fluidized bed pyrolysis technology

The invention relates to a coal gas, tar, semi-coke and steam poly-generation method based on a fluidized bed pyrolysis technology. The method comprises the following steps of: mixing coal and high-temperature semi-coke serving as a heat carrier in a fluidized bed pyrolysis furnace, heating, precipitating volatiles, and cooling and separating the volatiles to obtain tar and pyrolysis coal gas; discharging one part of semi-coke to obtain a semi-coke product, feeding the other part of semi-coke into a fluidized bed semi-coke heating furnace, performing combustion reaction with a small amount of fed air, heating all the fed semi-coke by using heat released after a small amount of semi-coke is combusted, feeding the heated semi-coke into a cyclone separator along with flue gas, and feeding the separated high-temperature semi-coke serving as the heat carrier into the fluidized bed pyrolysis furnace; and feeding the flue gas subjected to gas-solid separation into a complementary combustion waste heat boiler, completely combusting a small number of combustible components in the flue gas, producing steam, feeding into an air preheater to heat air required by combustion, removing dust by using a dust remover, and emptying. The method has the advantages of realizing the fractional conversion of the coal and improving the utilization efficiency and benefit of the coal.
Owner:ZHEJIANG UNIV

Integrated ecological desilting design method for large and medium-sized reservoirs

The invention relates to the field of ecological desilting, in particular to an integrated ecological desilting design method for large and medium-sized reservoirs. The integrated ecological desilting design method for the large and medium-sized reservoirs organically combines a series of construction methods of measurement, exploration, detection, desilting, dehydration drying and resource utilization and enables to the work benefit to achieve the optimum state. At present, no deep water desilting project for the large and medium-sized reservoirs exists in China, accordingly, the integrated ecological desilting design method has groundbreaking significance, and the design method has reference significance and has a guidance function for the future deep water desilting project of the large and medium-sized reservoirs. It is necessary for all links in the desilting process to exert respective advantages, the links seeming irrelevant are organically combined, thus, the working efficiency of the whole integrated ecological desilting construction technology is improved, the benefit of the whole technology system is optimized, and the unique feature of the method for treating deep water desilting operation aspects of the medium-sized reservoirs is reflected.
Owner:浙江广川工程咨询有限公司

Multi-fragment active clearing online re-planning algorithm

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.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Method for realizing self-adaptive routing protocol of mobile sparse underwater acoustic sensor network

ActiveCN111278078AAvoiding the "hole" problemSustainability assuranceNetwork topologiesData packNode deployment
The invention discloses a method for realizing a self-adaptive routing protocol of a mobile sparse underwater acoustic sensor network. The method comprises the following steps: selecting a candidate set and an optimal relay node: determining the candidate relay set with qualification for forwarding data based on depth and sustainability, evaluating node quality by using a multi-metric decision theory, and dynamically determining the optimal relay point of each node in a distributed manner; dynamic updating: updating routing information in real time by combining factors such as paths, node degrees and residual energy so as to estimate uncertainty of delivery of the mobile sparse underwater acoustic sensor network; performing data forwarding: forwarding the data by the node with the highestpriority, monitoring and waiting by other nodes, and determining a strategy of whether to forward the data or not when the time expires until the data packet reaches a sea surface receiving point; theproblems of communication holes and low delivery rate caused by sparse node deployment and random movement and hotspots caused by excessive use of part of nodes in an underwater acoustic sensor network are solved, and the data packet delivery rate, link continuity and energy load balance are improved.
Owner:GUILIN UNIV OF ELECTRONIC TECH

Labor-saving manual pineapple harvesting machine

ActiveCN107980341AProtect the budsAvoid stab woundsHarvestersPineapple PlantBud
The invention relates to a labor-saving manual pineapple harvesting machine. The machine comprises a rectangular main body frame, a handle is fixedly arranged at one end of the main body frame, a brake cable tractor is arranged on the handle, a stop lever is movably connected to the middle of the main body frame, a tool is arranged in the middle of the stop lever, a push plate is movably connectedto the interior of the other end of the main body frame, the push plate and the stop lever are located on the two sides of a pineapple fruit respectively, the push plate is connected with the brake cable tractor through a brake cable, and the push plate is connected with the stop lever through a linkage mechanism; the brake cable tractor drives the push plate to move through the brake cable, thepush plate drives the linkage mechanism to drive the stop lever to move to the push plate, and then the push plate and the stop lever act on the side and the root of the pineapple fruit respectively to make the pineapple fruit separated from a pineapple plant. The machine is simple in structure and low in cost, a manual mode is adopted, positioning is accurate, the phenomenon that pineapple buds are destroyed can be avoided, and then production reduction in the next year is avoided, and in the use process, the phenomenon that fruit eyes of the pineapple fruit stab an operator can be avoided.
Owner:HENAN UNIV OF SCI & TECH

Active power distribution network economic operation method for distributed energy interaction consumption

The invention discloses an active power distribution network economic operation method for distributed energy interaction consumption. The method comprises when the total power generation amount and the total electricity consumption amount are not balanced, and the actual value of the electricity consumption of the current time period of a distributed energy resource deviates from the day-ahead planning amount, calculating the cost of the distributed energy resource for asking other distributed energy sources in the active power distribution network to consume the power deviation value deviating from the day-ahead planning amount; receiving the consumption response price fed back by the distributed energy resource for consuming the power deviation value, and generating an interactive operation scheme by adopting the consumption response price less than the cost; calculating the actual economic benefit generated by the interactive operation scheme by means of a constructed active powerdistribution network interactive operation economy model; performing safety verification on the interactive operation scheme with the optimal actual economic benefit by adopting the operation parameters of the active power distribution network; and when the interactive operation scheme of the optimal actual economic benefit meets the safety verification, controlling the active power distribution network to operate by adopting the interactive operation scheme.
Owner:SICHUAN UNIV

Pavement maintenance intelligent decision-making system and method based on big data

ActiveCN111652520AImprove matchThe overall benefit optimization of maintenance costsResourcesGenetic algorithmsRoad surfaceIndustrial engineering
The invention provides a pavement maintenance intelligent decision-making system and method based on big data. The system comprises a pavement information import module, a pavement condition evaluation module, a pavement maintenance expert scheme database, a pavement maintenance scheme generation module and a pavement maintenance cost calculation module. The pavement information import module is used for importing data and defining a basic unit road section; the pavement condition evaluation module is used for calculating a pavement condition grade; wherein a plurality of existing pavement maintenance expert schemes are stored in the pavement maintenance expert scheme database; the pavement maintenance scheme generation module is used for automatically generating a plurality of pavement maintenance schemes by using a decision tree algorithm; the pavement maintenance cost measuring and calculating module is used for calculating a maintenance total cost range value, selecting an optimalpavement maintenance scheme by using a genetic algorithm and distributing pavement maintenance funds of the basic unit road section; the technical problem that the maintenance decision accuracy is affected due to the fact that a maintenance scheme and maintenance cost formulated in the prior art are not reasonable enough can be solved.
Owner:CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST

Multiple-cropping method of early-mature potato, celery and leafy vegetables in arched shed

The invention relates to a multiple-cropping method of early-mature potato, celery and leafy vegetables. The multiple-cropping method comprises the following steps: step 1, establishing the arched shed at an appropriate time; step 2, sprouting and seeding potatoes; step 3, applying base fertilizer to the potatoes; step 4, regulating temperature and humidity in the arched shed, and applying the fertilizer; step 5, nursing the celery; step 6, preventing early and late diseases of the potatoes; step 7, harvesting the potatoes and carrying out the land preparation and fertilization; step 8, planting the celery; step 9, carrying out the fertilizer and water management for the celery; step 10, applying the fertilizer to the celery, and carrying out the intertillage weeding; step 11, harvesting the celery; step 12, seeding the leafy vegetable; step 13, carrying out the field management for the leafy vegetable; step 14, harvesting the leafy vegetable. By utilizing the facility arched shed, the early-mature potatoes, celery and other leafy vegetables are produced according to respective production seasons, so that the multiple-cropping index of the land can reach 250 percent, the utilization rate of the land and light energy is increased, and the yield of the crops per unit area on the limited land area can be increased.
Owner:XIJI COUNTY POTATO IND SERVICE CENT

Constrained multi-objective optimization wind power plant power control method

The invention discloses a constrained multi-objective optimization wind power plant power control method. The method comprises the following steps: a, acquiring the actual output power Preal of a windpower plant at the current moment; b, generating a multi-objective optimization control instruction v; c, determining an adjustable power constraint range of each fan; d, setting a fan control efficiency matrix B; e, judging whether the dispatched and issued power output instruction is executable or not, if yes, executing the step f, and otherwise, returning to the step a; f, establishing an objective function J which contains constraint conditions and can optimize a plurality of objectives at the same time; g, solving the target function J by using a swarm intelligence algorithm to obtain anoptimal solution u which meets constraint conditions and an optimization target at the same time to serve as a power output instruction of each fan; and h, after the wind turbine generator executes the instruction action, returning to the step a. According to the constrained multi-objective optimization wind power plant power control method provided by the invention, a plurality of optimization objectives can be set at the same time, and an optimal power control scheme is obtained, so that the income obtained by the wind power plant is optimized.
Owner:NARI NANJING CONTROL SYST +1

Coal gas, tar, semi-coke and steam poly-generation method based on fluidized bed pyrolysis technology

The invention relates to a coal gas, tar, semi-coke and steam poly-generation method based on a fluidized bed pyrolysis technology. The method comprises the following steps of: mixing coal and high-temperature semi-coke serving as a heat carrier in a fluidized bed pyrolysis furnace, heating, precipitating volatiles, and cooling and separating the volatiles to obtain tar and pyrolysis coal gas; discharging one part of semi-coke to obtain a semi-coke product, feeding the other part of semi-coke into a fluidized bed semi-coke heating furnace, performing combustion reaction with a small amount of fed air, heating all the fed semi-coke by using heat released after a small amount of semi-coke is combusted, feeding the heated semi-coke into a cyclone separator along with flue gas, and feeding the separated high-temperature semi-coke serving as the heat carrier into the fluidized bed pyrolysis furnace; and feeding the flue gas subjected to gas-solid separation into a complementary combustion waste heat boiler, completely combusting a small number of combustible components in the flue gas, producing steam, feeding into an air preheater to heat air required by combustion, removing dust by using a dust remover, and emptying. The method has the advantages of realizing the fractional conversion of the coal and improving the utilization efficiency and benefit of the coal.
Owner:ZHEJIANG UNIV

A Multi-Shard Active Cleanup Online Replanning Method

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.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Integrated ecological dredging design method for large and medium-sized reservoirs

The invention relates to the field of ecological desilting, in particular to an integrated ecological desilting design method for large and medium-sized reservoirs. The integrated ecological desilting design method for the large and medium-sized reservoirs organically combines a series of construction methods of measurement, exploration, detection, desilting, dehydration drying and resource utilization and enables to the work benefit to achieve the optimum state. At present, no deep water desilting project for the large and medium-sized reservoirs exists in China, accordingly, the integrated ecological desilting design method has groundbreaking significance, and the design method has reference significance and has a guidance function for the future deep water desilting project of the large and medium-sized reservoirs. It is necessary for all links in the desilting process to exert respective advantages, the links seeming irrelevant are organically combined, thus, the working efficiency of the whole integrated ecological desilting construction technology is improved, the benefit of the whole technology system is optimized, and the unique feature of the method for treating deep water desilting operation aspects of the medium-sized reservoirs is reflected.
Owner:浙江广川工程咨询有限公司

A wind farm power control method with constraints and multi-objective optimization

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.
Owner:NARI NANJING CONTROL SYST +1

Organization sharing system and method based on main production place supply chain enterprise

The invention provides an organization sharing system and method based on a main production place supply chain enterprise, and belongs to the technical field of information sharing. The sharing system comprises an organization sharing cloud platform, and a plurality of production enterprise user sides, a plurality of middleman user sides and a plurality of downstream provider user sides which are respectively and independently butted with the organization sharing cloud platform, wherein the organization sharing cloud platform further comprises a revenue optimization algorithm module; each of the production enterprise user sides, the middleman user sides and the downstream provider user sides is provided with a registration module, an income sharing contract signing module, a sharing information input module and an income comparison module; the main production place supply chain enterprises comprise production enterprises, middlemen and downstream providers. According to the method, a main production place supply chain enterprise sharing cloud platform is established, the organization boundary of an enterprise management system is broken through, upstream and downstream enterprises are linked, scientific calculation is carried out through an income optimization algorithm module, and thus the income of all parties and the overall economic benefit are improved.
Owner:南宁师范大学
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