4results about How to "Lower conditions" patented technology

This invention provides a method for preparing transparent polycrystalline diamond nanoparticles at low temperatures, comprising the following steps: S1: Mixing: Using hydrogen-modified carbon nanospheres as raw materials, the raw materials are mixed after removing moisture and impurities; S2: Pressing: The mixed raw materials are pressed into cylindrical shapes according to the size of the synthesis chamber using a hydraulic press; S3: Assembly: The cylindrical raw materials are placed into a heating container and then assembled in the synthesis chamber; S4: Synthesis: The pressure is controlled at 9.0-15 GPa, the temperature at 1250-2300℃, and the holding time is 1-15 min, to synthesize the raw materials assembled in step S3 to obtain the product; S5: Cooling and depressurization: After the product synthesized in step S4 is cooled and depressurized, transparent polycrystalline diamond nanoparticles are obtained. This invention provides a low-cost and relatively simple method for preparing transparent polycrystalline diamond nanoparticles at low temperatures, which has high commercial and promotional value.

The application provides a polyethylene gas pipeline risk analysis and early warning method and system based on a knowledge graph, and relates to the technical field of urban gas safety risk assessment.The existing technology has the problems of dispersed representation of the evaluation method of the gas pipeline risk, difficulty in uniformly organizing accident cases, operation data, specification requirements and management experience, unclear expression of the cause-effect relationship between indexes, difficulty in describing the risk propagation path, high dependence on expert subjective valuation, difficulty in realizing consistent dynamic updating of the evaluation results, and inaccurate prediction results.The mapping mechanism from the knowledge graph to the fuzzy Bayesian network automatically maps the entity hierarchy and the relationship type defined in the knowledge graph into the Bayesian network nodes and the directed edges, so that the network structure construction no longer completely depends on manual analysis, the influence of subjective experience on the model structure is reduced, the modeling efficiency is greatly improved, and the social and economic safety is protected.

The application discloses a prompt sound statistical method, device, equipment and readable storage medium. The prompt sound statistical method comprises the following steps: obtaining square wave data corresponding to an envelope line of collected audio data; determining a time period corresponding to an a-th wave band in the square wave data; obtaining audio corresponding to the time period from the audio data to obtain a target audio segment; calculating the similarity between the target audio segment and each collected segment in the audio data; determining a first target peak point and a target threshold in a cross-correlation function; determining at least one second target peak point in the plurality of similarities; and determining the playing information of the prompt sound in the audio data according to the total number of the first target peak point and the second target peak point and the time interval between the first target peak point and the second target peak point. According to the embodiment of the application, the accuracy of determining the playing number or frequency of the prompt sound can be effectively improved, and the reliability of the test result of the device outputting the prompt sound is improved.

The application belongs to the technical field of natural product extraction and nanometer material preparation, and specifically discloses an enzyme-assisted green extraction and nanometer modification method of active polysaccharide of traditional Chinese medicinal materials. In the extraction stage, a three-stage biomimetic gradient layering degradation strategy is adopted to target the wall breaking, and subcritical water extraction is coupled to realize efficient release of polysaccharide, so that the extraction rate reaches 18-25%, and the purity is 85-95%. In the nanometer stage, the polysaccharide, chitosan, sodium alginate and tea polyphenol are constructed into core-shell type nanoparticles (50-200 nm) through ultrasonic driving layer-by-layer self-assembly, the water solubility of the polysaccharide is increased by 3-5 times, the thermal stability is increased by 30-45 DEG C, and the oral absorption rate is increased by more than 2 times.