4results about How to "Long-term effectiveness" patented technology

The invention relates to the technical field of medical information systems, in particular to an artificial intelligence-based psychosomatic medical system, which comprises a network layer; a data acquisition module; the data processing module is connected with the data acquisition module and is used for processing the collected data; the intelligent analysis module is connected with the data processing module and used for analyzing the processed data; according to the system architecture design of the invention, the characteristics of psychosomatic medicine are fully considered, and all the modules are in close cooperation to form a complete diagnosis and treatment closed loop. From data acquisition, intelligent analysis and application output, each link reflects the thought of syndrome differentiation and treatment in psychosomatic medicine. Particularly, in the intelligent analysis module, psychosomatic medical knowledge is innovatively combined with a modern machine learning algorithm, a unique knowledge graph is constructed, psychosomatic medical diagnosis and modern medical standards can be considered at the same time, and a more comprehensive and accurate diagnosis result can be given.

The crystallization promoting type self-healing concrete admixture is prepared from the following components in parts by mass: 485 to 520 parts of an ion complexing agent, 2370 to 2380 parts of calcium formate, 4740 to 4760 parts of silica sol and 2370 to 2380 parts of dispersible latex powder. The invention also discloses a crystallization promoting type self-healing cement-based composite material containing the additive. According to the crystallization promoting type self-healing concrete admixture, the self-healing performance of a concrete material is improved by improving the self-healing reaction rate and the concentration of a self-healing reactant, so that the crack width of 0.4 mm or above in the concrete material is completely self-healed, and even if the age of the concrete reaches 600 days or above, the crack width of 0.4 mm or above can be completely self-healed. The problems that a crystallization admixture self-healing material is low in crack healing speed and small in width, and long-term effectiveness is difficult to guarantee are effectively solved.

The invention discloses a flexible prediction method for an industrial enterprise micro-grid energy load model, and particularly relates to the technical field of micro-grid energy load model flexible prediction. Different physical stages of load climbing, inertia release and stable operation are effectively distinguished, the situation that the inertia slow change process is misjudged as prediction model mismatch is avoided, meanwhile, the time decoupling degree between production plan triggering and actual load response is quantified through a load inertia dominant factor, and the prediction model mismatch accuracy is improved. The flexible prediction model does not blindly follow short-term fluctuation in the weight adjustment process, and continuous collaborative updating of load inertia characteristics and prediction model parameters is achieved through an online correction mechanism based on prediction residual errors.

The present application relates to the technical field of waterborne polyurethane materials, and particularly relates to a low VOC waterborne PU foam pad and a preparation method thereof. The foam pad is formed by foaming and curing of a waterborne polyurethane dispersion, and two types of aldehyde-trapping sites are simultaneously introduced into the same porous framework, i.e. an amidoxime group formed by post-conversion of a nitrile group precursor by hydroxylamine, and an aminooxy group obtained by coupling and deprotection of T-BOC-aminooxy-diglycol-amino through a carboxyl anchoring site under an EDC and NHS activation system; and a water-dispersible blocked polyisocyanate crosslinking agent is used to form a crosslinking network by pyrolytic deblocking, so as to achieve rapid capture and durable retention of aldehydes such as formaldehyde and acetaldehyde under water washing and humid heat conditions, and simultaneously help to reduce VOC emission of the material.