44results about How to "Lower standards" patented technology

An integrated multi-trophic aquaculture system (multico) for a primary species, preferably a carnivorous marine species with high market value, secondary, preferably an omnivorous species of medium market value and tertiary species, preferably a detrivorous species with high market value, combined with an unfolding system for the primary species to an open semi-intensive or extensive system, the multico system for the primary species is an intensive closed or semi-closed system. The secondary species is stocked in an intensive closed or semi-closed system, while the tertiary species is stocked in a semi-intensive or closed extensive or semi-closed system. The multico system of the primary species is in communication with the system of the secondary species, while the system of the secondary species is in communication with the system of the tertiary species.

The invention discloses a method for applying pre-ozonation and aerated biological activated carbon processes to feedwater treatment. The method combines ozone pre-oxidation, an aerated biological activated carbon filter tank and a coagulation-sedimentation-sand filtering-disinfection conventional feedwater treatment process to produce drinking water, is a feedwater treatment process for improving water quality of feed water aiming at micro-polluted drinking water sources, and integrates the characteristics of an aerated biofilter biological pre-treatment process and an ozone biological activated carbon advanced water-purifying process. Raw water enters a pre-ozonation contact tank, a coagulation sedimentation tank and the aerated biological activated carbon filter tank orderly, is disinfected, enters a sand filtering tank, and finally flows into a clear water tank. Because the pre-ozonation contact tank and the aerated biological activated carbon filter tank are arranged in the conventional feedwater treatment process, the effect of removing organic matters, ammonia nitrogen, pathogenic microorganism, odor, chroma and the like is greatly improved, and the water quality safety of the method is obviously superior to that of the biological pre-treatment process and the ozone biological activated carbon advanced water-purifying process.

An identification arrangement identifies animals, and only when a milk permission criteria is fulfilled is that animal provided with access to the milking machine. The milking machine extracts milk from the animal. In connection with the milking, a cell counter unit determines a quality parameter reflecting a somatic cell count for the milk extracted from the animal. The cell counter unit includes a sampling unit for taking samples from the extracted milk and a counter unit, which determines the quality parameter by registering a true number of somatic cells per unit volume in said samples. A control unit receives the quality parameter and in response thereto assigns a milk permission interval determining an earliest point after a completed milking at which point the set of milk permission criteria for the animal are again enabled to be fulfilled.

The invention discloses a processing method for a multilayer composite sized down feather flocculus, and the method comprises the following steps of: mixing cotton, namely mixing 10-70wt% of down feather fiber with 90-30wt% of low-melting-point fiber by virtue of a mixer so as to respectively obtain a high-down-feather-content mixture and a low-down-feather-content mixture; and opening, carding, lapping, carrying out acupuncture reinforcing, and carrying out hot melting, bonding and reinforcing. An acupuncture reinforcing manner is adopted, so that the bulking intensity of a fiber mesh is effectively controlled, and entanglement between fibers is enhanced, thus the down feather is effectively controlled, and play of flying feather and the down feather is reduced; and multi-consolidation is carried out by adopting a method that acupuncture is firstly carried out and then hot melting is carried out, so that control over the down feather is effectively improved, and the stability of the down feather flocculus is improved.

The invention discloses a shock-absorbing floating raft device for a small stack suitable for land-based full-buried arrangement, which comprises a sealed cabin (2) for sealing the containment vessel (1) of a modular small stack inside the sealed cabin (2). In the fixed foundation (3) of the nuclear island, the modular small reactor containment vessel (1) is rigidly connected to the surroundings of the sealed cabin (2), and there is a A vibration isolation device A for shock absorption, a vibration isolation device B is provided between the side wall of the airtight cabin (2) and the side wall of the nuclear island fixed foundation (3). The beneficial effects of the present invention are: using the vibration isolation principle of mechanical equipment, the vibration isolation device is used to effectively absorb a large amount of kinetic energy generated during an earthquake, and the energy generated by the earthquake is converted into frictional heat through mechanical motion and consumed, which is a better solution Seismic waves have an impact on the vibration of the reactor, and can also reduce the impact of the reactor's own vibration during normal operation; reduce equipment cost.

The invention discloses a standardization system for multilingual medical terminology based on deep adversarial learning, including a standard medical terminology database, a file preprocessing module, a candidate term set generation module, and a candidate term set rearrangement module; the file preprocessing module is used to unify The format of the medical term string in the real world, and the long string is divided into individual Chinese and English word tokens; the candidate term set generation module is used to filter out the first n medical terms that are consistent with the real world medical term from the standard medical term set The most similar candidate standard term; the candidate term set rearrangement module: used to form a term pair between the real-world medical term and the screened candidate term, and mark it as a positive example and a negative example according to the degree of matching, as the input of the deep learning model, The model is iteratively optimized to generate an automatic term matching model.