45results about How to "Promote mutual cooperation" patented technology

The invention relates to the technical field of cosmetic additives. Aiming at the problem of poor anti-aging effect of anti-aging products, an anti-aging composition is provided, which includes the following components in parts by mass: 20-25 parts of maritime pine bark extract; Bletilla striata 10‑15 parts of root extract; 8‑12 parts of Polygonum multiflorum extract; 17‑25 parts of solvent. The invention relates to a preparation method of an anti-aging composition. The components of the anti-aging composition are stirred and mixed uniformly according to the ratio of parts by mass to obtain the anti-aging composition. The application of an anti-aging composition is to add the anti-aging composition to skin care products. The synergistic cooperation of coastal pine bark extract, bletilla striata root extract and Polygonum multiflorum extract is beneficial to better promote the absorption of active ingredients in the anti-aging composition of the human body, and is conducive to better scavenging free radicals, thereby benefiting more The speed of aging of the skin can be effectively delayed, so that the anti-aging effect of the anti-aging composition is more remarkable and the effect is quicker.

The present invention relates to the technical field of soil improvement, and relates to a method for improving soil with garden organic mulch, which includes the following steps: step (1), uniformly mixing landscaping waste, straw, dead branches and leaves, and furfural residue to form Pre-mixture; step (2), adding decomposing treatment liquid to the pre-mixture for composting and decomposing treatment, forming garden organic mulch; step (3), evenly covering the garden landscape soil surface with the treated garden organic mulch; wherein, The corruption treatment solution comprises the following components in parts by mass: 70-80 parts of water; 15-20 parts of Nocardia liquid; 1-3 parts of brown sugar; 1-2 parts of diglyphosate; 0.5-1 part of citral. The present invention has the effect of shortening the decay time of organic coverings.

The present invention relates to a taxi scheduling method and system based on deep reinforcement learning. The system includes: an area building module, a demand forecasting module, a vehicle scheduling module, and a simulator; the method includes: S1: forming an area network; S2: Predict the number of orders that will appear in any area at any time; S3: calculate the total vehicle supply in an area; obtain the demand / supply status of each area; S4: input the status of any free vehicle area and neighboring areas In the trained taxi dispatching model, the dispatching strategy of the vehicle is obtained, and it is determined whether the car will remain in the local area or be dispatched to the neighbor area designated by the system. The invention realizes dispatching of idle taxis, increases the success rate of order matching, reduces the waiting time of passengers, and improves the utilization rate of taxis.

The present invention relates to the field of cosmetic additives. Aiming at the problem of poor efficacy of existing anti-wrinkle products, a wrinkle-removing composition is provided, which comprises the following components in parts by mass: 5-10 parts of Potassium officinalis extract; castor root extract 15-20 parts of turmeric extract; 10-15 parts of turmeric extract; 8-12 parts of solvent. The invention discloses a preparation method of a wrinkle-removing composition. The components of the wrinkle-removing composition are stirred and mixed uniformly according to the ratio of parts by mass to obtain the wrinkle-removing composition. An application of the anti-wrinkle composition, which is added to skin care products. The synergistic cooperation of the extract of white pomegranate, castor root and turmeric is beneficial to promote the human body's absorption of the active ingredients in the wrinkle-removing composition, so that the wrinkle-removing effect is quicker and better.

The invention discloses an adaptive traffic signal control method based on multi-agent reinforcement learning, comprising: for each intersection in a traffic road network, establishing an intelligent agent network corresponding to the intersection; acquiring the traffic road network The real-time traffic features in the real-time traffic features; the real-time traffic features are respectively transmitted to the agent network corresponding to the intersection according to the position of the intersection, and the phase of the intersection output by the agent network is obtained, and according to the intersection The phase of the intersection executes the traffic signal control of the intersection; wherein, the agent network is based on the average value of the sum of the number of vehicles waiting on the entry lanes of the intersection corresponding to the agent network and the intersection adjacent to the intersection Determine the phase of this intersection for the reward. The invention improves the coordination ability between independent intelligent bodies, and provides a solution for the traffic signal control in the complex road network environment.

The present invention relates to the technical field of leather bag processing, and relates to a processing technology of leather bag oil edge, which comprises the following steps: S1, preparing edge oil: stirring each component of edge oil evenly to make edge oil; S2, applying edge oil : adding the rim oil prepared in step S1 to the oil edging equipment, and evenly applying the rim oil to the edge of the leather; S3, drying; the rim oil includes the following components in parts by mass: 15-17 parts of polyurethane; 17 parts of acrylic acid 10‑13 parts; 5‑10 parts of pigment; 80‑95 parts of water; 3‑5 parts of ethanol; 3‑5 parts of thickener; 1‑2 parts of defoamer; Oleamide 0.5-1 part; flurbiprofen 1-1.5 part; hydroxypivalate neopentyl glycol ester 0.1-0.3 part. The invention has the effect of prolonging the service life of the oil side of the leather bag.

The present invention belongs to the technical field of optimal dispatching of reservoirs, and in particular relates to a method for multi-objective optimal dispatching of reservoirs based on the cooperative game method, comprising the following steps: Step 1, using the flow duration curve improved month by month to calculate the environmental water demand of the downstream channel of the reservoir Process; step 2, establish a single-person game model for water resources management subjects, and pursue the maximization of the public interests of power generation and the environment; step 3, establish a multi-objective cooperative game model for water resources management subjects, and pursue the combination of collective interests and personal interests . The present invention proposes a game idea based on cooperation, explores the possibility of cooperation among water users, and constructs a multi-objective scheduling model of the reservoir to provide a certain theoretical basis for the unified management and protection of water resources, and realize the multi-objective of the reservoir in the overall Benefits are optimized on the basis of taking into account individual interests.