3results about How to "Improve real reliability" patented technology

The invention relates to an image authenticity verification method based on a block chain, and belongs to the technical field of block chains, and the method comprises the steps: 1, obtaining an image through a trusted data carrier; 2, preprocessing the image based on the smart contract; 3, performing authenticity classification on the preprocessed image through a convolutional neural network model; and step 4, associating the image authenticity result output by the convolutional neural network model with the image based on the smart contract, and performing real-time uploading and evidence storage on process data. According to the method, self-certification clearness of the image data serving as evidence is achieved, the model and service are automatically called in the AI image detection process by defining and using the intelligent contract, human intervention is reduced, authenticity verification is automatically carried out on the image data before uplink, it is guaranteed that the result is not tampered, and the authenticity and reliability of the image data under the link are improved.

The application discloses a rice gene expression and function verification integrated detection device, which comprises a box body, a liquid nitrogen freezing assembly for freezing rice is installed in the box body, a gene extraction assembly for extracting rice genes is installed in the box body, and a gene detection assembly for detecting and verifying rice genes is installed at the top of the box body; a plurality of steps such as liquid nitrogen freezing, sample grinding, nucleic acid extraction, purification and qPCR detection are integrated, full-process automatic operation is realized through a control module, manual frequent intervention is not needed, human operation errors are greatly reduced, the accuracy and repeatability of detection results are improved, a high-concentration saline solution is combined, a low-salt elution process design is adopted, automatic magnetic bead adsorption and cleaning processes are combined, interference substances such as proteins and impurities in samples are effectively removed, the nucleic acid purity can reach more than 95%, the recovery rate can reach more than 85%, and the reliability of gene expression and function verification results is ensured.

The invention belongs to the technical field of power systems and automation thereof, and discloses a low-voltage flexible interconnection diversified power distribution area line loss assessment method and related equipment, and the method can be used for a power distribution area under the access of diversified resources such as low-voltage flexible interconnection, distributed power supplies, charging piles, energy storage and the like through obtaining the input variables of a to-be-assessed area, and evaluating the line loss of the to-be-assessed area. Inputting the data into a pre-constructed diversified power distribution area line loss evaluation model, so as to accurately output an alternating current area line loss rate and a direct current micro-grid line loss rate; according to the method, line loss calculation is detailedly divided into the alternating-current transformer area line loss rate and the direct-current micro-network line loss rate, the prominent problems that the transformer area line loss rate is suddenly increased and suddenly decreased and the transformer area line loss is larger along with more photovoltaic and charging piles are connected are effectively solved, the accuracy of line loss evaluation is improved, the working efficiency of statistical analysis personnel is improved, and the working efficiency of the statistical analysis personnel is improved. And the authenticity and reliability of the assessment indexes are ensured, and an accurate and efficient assessment mode is provided for line loss management of the low-voltage flexible interconnection power distribution area.