10results about How to "High suppression efficiency" patented technology

This utility model discloses a liquid baffle with foam suppression function for electrolytic cells, including a liquid baffle body. Vertical plates are fixedly connected to the top four sides of the liquid baffle body. A drive motor is bolted to the outer side of each vertical plate. A threaded rod is fixedly connected to the output end of the drive motor, and a movable plate is threadedly connected to the surface of the threaded rod. This utility model utilizes the synergistic action of a stirring motor, a rotating disc, a crushing rod, a vibrating motor, a vibrating rod, crushing blocks, and spikes to treat foam from multiple aspects, including stirring, crushing, and vibrating. Compared to traditional liquid baffles, it improves foam suppression efficiency, effectively maintains stable liquid levels in the electrolytic cell, and reduces the adverse effects of foam overflow. The lifting structure composed of the drive motor, threaded rod, and movable plate can flexibly adjust the position of the crushing components according to the height and distribution of foam in the electrolytic cell, ensuring good foam suppression effects under different operating conditions.

The invention discloses a working face dust removal, spraying and fresh air system for a coal mine, and belongs to the technical field of coal mine underground environment governance and occupational health safety. The system comprises a track hoisting and moving device, a wet-type vortex dust removal fan, a spraying and dust falling device, a fresh air device and an automatic control system. The structural frame is hung on the moving trolley through the hanging chain and is driven by the driving main machine to move dynamically along the track. The dust removal fan adopts the combination of a radial mixing type impeller and a dewatering vortex wheel, so that powerful dust collection and dry and comfortable exhaust are realized; the spraying device realizes intelligent avoiding and spraying stopping through a personnel proximity sensor; the fresh air device is of a double-channel structure, and positive-pressure clean fresh air is provided for the breathing area through four-stage deep purification. The problems that traditional equipment is installed and fixed, functions are split, people are prone to getting wet, and breathing guarantee is lacked are solved, integrated cooperation of full-working-face dynamic cruise control, precise dust suppression and medical-grade fresh air supply is achieved, and the safety and comfort of underground operation are remarkably improved.

This invention relates to the technical field of waste aluminum recycling equipment, specifically disclosing a hydraulic feeding and processing device for waste aluminum recycling. The device includes a processing chassis with a rotating pressing mold inside. A rotary servo motor for driving the rotating pressing mold is fixedly installed in the center of the top of the chassis. The ejector structure utilizes the downward power of the main pressing component, which is converted into the upward power of the ejector component through gear and toothed plate meshing. This eliminates the need for a separate drive device and corresponding control unit for the ejection process, effectively simplifying the overall power layout and reducing manufacturing costs. The pressing and ejecting actions are executed synchronously, with highly matched process cycles. Combined with an ejector component featuring automatic reset, the flatness of the cavity bottom surface can be maintained even without ejector operation, ensuring the quality of the formed end face of the waste aluminum block.

This invention discloses a deep learning-based intelligent interference management system for wireless communication networks, belonging to the field of communication network management technology. By processing and fusing multipath, mobility, and environmental factors, it can solve the problem of inaccurate channel state information caused by traditional models ignoring non-stationary interference. The constructed sequence simultaneously captures temporal trends and spatial cooperation, providing high-quality input for subsequent adaptive models. Through meta-learning pre-training to obtain cross-scenario general parameters, online fine-tuning achieves millisecond-level adaptation to dynamic channels, and finally outputs accurate interference prediction, which can significantly improve the model's adaptability to complex channels and the real-time performance of interference estimation, providing key support for the anti-disturbance capability of trajectory control. Through the synergistic cooperation of the above steps, the pre-training stage lays the foundation for cross-scenario generalization, the online fine-tuning stage quickly adapts to new scenarios, and the interference prediction stage outputs key compensation information, forming a closed-loop logic of pre-training, fine-tuning, and prediction.

This utility model relates to the field of Caragana korshinskii pellet feed production technology, specifically a Caragana korshinskii pellet feed press that is easy to clean. It includes a base, with support legs installed around the bottom of the base, a pressing component installed at the center of the bottom of the base, and a device body installed on the top of the base. Quick-release components are installed around the outer perimeter of the device body. The improved feed press allows for easy disassembly and assembly of the feed hopper, eliminating the need for cumbersome steps and facilitating cleaning. Furthermore, both the grinding disc and the pressure rollers are detachable, enabling workers to easily disassemble and clean them, effectively reducing clogging and preventing material deterioration due to prolonged accumulation. This increases pressing efficiency while ensuring the quality of the pressed material.

The present application relates to the field of molecular biology, in particular to the use of LMO7 inhibitor in the preparation of glioma treatment products, the present application adopts the siRNA obtained by RNAi method or the nucleic acid construct containing the siRNA sequence, the lentivirus, the expression of human LMO7 gene is down-regulated, and the proliferation and migration of glioma cells can be effectively inhibited, therefore the LMO7 inhibitor of the present application can be used in the preparation of the drug for treating brain glioma, thereby treating brain glioma, and opening up a new direction for brain glioma treatment.

The invention belongs to the technical field of biological medicine, and particularly relates to the field of gene therapy and pain therapy. The invention provides an sgRNA and AAV-CRISPRi virus system for targeted inhibition of TRPV1 gene, the AAV-CRISPRi virus system is a CRISPRi system based on AAV delivery, and the core functional structure sequence of the AAV-CRISPRi virus system is a 5 '-ITR inverted repeat sequence, an EF1 alpha core promoter, a ZIM3 transcription inhibition structural domain, a linker, a sadCas9-NLS nuclear localization signal-SV40 poly (A) termination signal-U6 promoter, and an sgRNA-3'-ITR inverted repeat sequence, according to the core functional structure, the miniaturization of a CRISPRi system is realized, and the infection success rate and the target gene inhibition efficiency are improved while the plasmid construction and AAV packaging costs are reduced. The AAV-CRISPRi virus system for targeted inhibition of the TRPV1 gene is used for preparing drugs for chronic pain, and has the characteristics of high efficiency, strong specificity and few side effects.

The invention belongs to the technical field of biology, and particularly relates to a dsRNA synergist, and application and a method of the dsRNA synergist in improving the RNAi efficiency of lepidoptera pests. By analyzing factors influencing the RNAi efficiency of the ostrinia furnacalis, a gene which can be induced to be up-regulated by dsRNA and is named as REX4 gene is found, REX4 protein coded by the gene is found to be capable of directly degrading the dsRNA under in-vitro conditions, the degradation efficiency is relatively high, aspartic acid at a first catalytic site is mutated into glycine, and the gene can be used for degrading the dsRNA at a second catalytic site. And the nucleic acid degradation capability of the REX4 protein is obviously reduced. Insect RNAi efficiency can be improved by inhibiting expression of the REX4 gene, and the gene generally exists in lepidoptera insects. The REX4 protein provided by the invention can be used as a core target for improving the RNAi efficiency of the lepidoptera pests, the problem of low RNAi efficiency of the lepidoptera pests is solved, and the application of the RNAi technology in agricultural pest control is promoted.

The invention provides an electromagnetic interference suppression method based on a generative adversarial network and a power control circuit, and belongs to the technical field of electromagnetic interference suppression, and the method comprises the steps: collecting voltage and current signals and electromagnetic interference signals of a power semiconductor device, and inputting the voltage and current signals and the electromagnetic interference signals into a pre-trained electromagnetic interference suppression model, the model is constructed based on a generative adversarial network architecture, the generator is used for outputting control parameters for driving the power semiconductor device, and the discriminator is used for evaluating the difference between an electromagnetic interference value corresponding to the control parameters output by the generator and a target interference value; and converting the model output control parameter to generate a driving signal. The method has the beneficial effects that the generator parameters are adaptively adjusted according to the actual working condition and interference condition of the power semiconductor device control circuit, and the adaptability is high; eMI is quickly and accurately identified and suppressed by using deep learning, and the suppression efficiency and the overall efficiency of the system are improved; eMI radiated outwards by the circuit can be suppressed, and the problem of internal interference of the circuit can be solved.