9results about How to "Ease volatility" patented technology

The invention discloses a cross-provincial flexible scheduling method and system for a pumped storage power station, and the method comprises the steps: monitoring the operation state of each unit of the pumped storage power station in a region, and displaying the basic data and operation conditions of each unit on a front-end web page, and formulating a pumped storage calling method according to the capacity demand of each small region in the whole large region for the pumped storage power station and the available capacity of the inter-provincial tie line, and finally realizing rear-end data transmission and development and display of a front-end data simulation platform by using a Django framework. The method has the advantages that the current situation that pumped storage is ignored under the background of vigorous development of new energy is solved, meanwhile, the blank that pumped storage participates in trans-provincial calling is filled up, the energy calling process is visually displayed through the computer technology, and the pumped storage calling frequency and efficiency are improved.

The invention discloses a laser-arc hybrid welding system and method for dissimilar materials, and belongs to the technical field of welding. The hybrid welding system comprises a material pretreatment module (1), a laser module (2), a double-arc module (3), a blowing module (4), a weld joint monitoring module (5) and a postweld treatment module (7). The welding method comprises the steps of conducting welding pretreatment on the dissimilar material to be machined, adjusting the laser output head and the electric arc welding gun on the material to be welded, setting welding parameters, conducting welding, blowing, cooling and the like. The laser-arc hybrid welding system and method for the dissimilar materials, provided by the invention, integrates pre-welding treatment, the welding process and post-welding treatment into a whole set of complete system, is easy to implement, high in automation degree and high in operability, and greatly improves the welding efficiency and the welding quality.

The invention discloses a day-ahead-day two-stage optimization scheduling method and system for an RSOC integrated energy system. The method comprises the steps that the RSOC integrated energy system is established based on running characteristics of the RSOC; respectively establishing an RSOC variable working condition operation model, a combined heat and power generation model and a multi-element load demand response model based on the RSOC comprehensive energy system; based on the RSOC variable working condition operation model, the combined heat and power generation model and the multi-element load demand response model, jointly establishing a day-ahead-intra-day two-stage optimization scheduling model; optimizing the day-ahead-intra-day two-stage optimization scheduling model based on a day-ahead plan scheduling target and a day-ahead constraint condition to obtain optimal operation state data of system equipment; and based on the optimal operation state data, the intra-day rolling optimization target and the intra-day constraint condition, performing rolling adjustment on the day-ahead-intra-day two-stage optimization scheduling model to obtain an optimal scheduling operation scheme. Under the condition of ensuring stable and reliable operation of the comprehensive energy system, the operation cost of the system is reduced, and the optimization control precision of the system is improved.

The invention discloses an underwater high-density stable hydraulic energy storage and release system and a control method thereof. The system comprises an object bearing system, a high-pressure liquid storage tank, a liquid level monitoring system and a bidirectional load energy conversion system. The object bearing system is connected with the high-pressure liquid storage tank, and the liquid level monitoring system is arranged in the high-pressure liquid storage tank; the high-pressure liquid storage tank is communicated with an atmosphere balance pipe and a water charging and discharging pipe, and the other end of the atmosphere balance pipe extends out of the horizontal plane; the two-way load energy conversion system comprises a two-way load generator and a pump turbine, and a second electric valve and an anti-wave damping valve are arranged in the water filling and draining pipe; during energy storage, the water pump turbine discharges water in the high-pressure liquid storage tank, and during energy release, the water enters the high-pressure liquid storage tank through the second electric valve and the anti-wave damping valve to push the water pump turbine to drive the two-way load generator to generate electricity. Stable and high-energy-density energy storage and release are achieved by controlling water drainage and water filling of the high-pressure liquid storage tank.

The present invention discloses an underwater high-density stable hydraulic energy storage and release system and a control method thereof, the system comprises a supporting system, a high-pressure liquid storage tank, a liquid level monitoring system and a bidirectional load energy conversion system; the supporting system is connected to the high-pressure liquid storage tank, and the liquid level monitoring system is arranged in the high-pressure liquid storage tank; the high-pressure liquid storage tank is connected to an atmospheric balance pipe and a filling and drainage pipe, the other end of the atmospheric balance pipe extends outside the horizontal plane, and the other end of the filling and drainage pipe is arranged below the horizontal plane; the bidirectional load energy conversion system comprises a bidirectional load generator and a water pump turbine, and a second electric valve and an anti-wave damping valve are arranged in the filling and drainage pipe; when storing energy, the water pump turbine discharges the water in the high-pressure liquid storage tank, and when releasing energy, the water enters the high-pressure liquid storage tank through the second electric valve and the anti-wave damping valve, pushes the water pump turbine, and drives the bidirectional load generator to generate electricity. The present invention realizes stable and high-energy-density energy storage and release by controlling the drainage and filling of the high-pressure liquid storage tank.

This invention discloses an adsorption refrigeration temperature control system, comprising: an adsorption bed, wherein an adsorption chamber of the adsorption bed is provided with an adsorbent; a cryogenic fluid supply port for supplying cryogenic fluid to a cooling object to absorb heat from the cooling object; a cold storage device, which is connected to the cryogenic fluid supply port to supply cryogenic fluid to the cold storage device; and an evaporator, wherein the evaporation chamber of the evaporator is used to supply gaseous adsorbent to the adsorption chamber, and is further provided with a cryogenic fluid channel capable of exchanging heat with the liquid adsorbent in the evaporation chamber, the cryogenic fluid channel being connected to the cold storage device to supply cryogenic fluid to the cold storage device. The above-described adsorption refrigeration temperature control system can effectively solve the problem of poor temperature control performance in adsorption refrigeration systems. This invention also discloses a liquid cooling system including the above-described adsorption refrigeration device and an adsorption refrigeration temperature control method.

The application discloses an autism auxiliary diagnosis method and system based on gene pathway atlas information, and belongs to the cross field of bioinformatics and machine learning. The application firstly reads original sequencing data and pre-processes to obtain a standardized differential expression gene matrix; introduces pathway function and topological information, constructs a pathway topological adjacency matrix, and dimensionally reduces a pathway feature matrix, transmits a graph signal, and encodes features to obtain gene pathway features; then, the initial training of a multi-modal fusion network is carried out on the foregoing two matrices; Top K key genes are screened according to a gene importance score, and secondary training is carried out in combination with the gene pathway features; finally, the gene expression of a to-be-detected object is input, and an autism auxiliary diagnosis classification result is output. The application introduces the gene pathway atlas as prior knowledge, constructs a multi-modal fusion network with biological interpretability and high robustness, and can improve the autism diagnosis accuracy based on a small number of key features.

This invention discloses an autism-assisted diagnostic method and system based on gene pathway mapping information, belonging to the interdisciplinary field of bioinformatics and machine learning. The invention first reads and preprocesses raw sequencing data to obtain a standardized differentially expressed gene matrix; then, it introduces pathway function and topological information to construct a pathway topological adjacency matrix, and obtains gene pathway features by dimensionality reduction, graph signal propagation, and feature encoding of the pathway feature matrix; subsequently, it performs initial training of a multimodal fusion network on the aforementioned two matrices; then, it selects Top K key genes based on gene importance scores and performs secondary training in conjunction with gene pathway features; finally, it inputs the gene expression levels of the subject to be tested and outputs the autism-assisted diagnostic classification results. By introducing gene pathway mapping as prior knowledge, this invention constructs a multimodal fusion network that combines biological interpretability and high robustness, which can improve the accuracy of autism diagnosis based on a small number of key features.

The invention discloses a flexibility resource adjustment characteristic modeling and aggregation method, which comprises the following steps of: collecting a virtual battery model coefficient matrix reported by each flexibility resource individual by a similar resource aggregation platform, then calculating an element polyhedron coefficient and sending the element polyhedron coefficient to each individual; calculating parameters by each individual, calculating a final equivalent aggregate by the similar resource aggregation platform according to the parameters, and sending the final equivalent aggregate to a scheduling center for decision making; and finally, deaggregating the decision result, and issuing the decision result to each individual for execution. According to the method, the consistency of group behaviors is ensured, and each individual can be controlled to meet the constraint as long as the final equivalent polymer is controlled to be charged and discharged asynchronously. Therefore, the actual behavior of the energy storage system is reflected more accurately, the overall utilization efficiency of flexible resources is improved, and the coping capacity of a power system for the fluctuation and uncertainty of renewable energy sources is enhanced.