123results about How to "Save time and labor costs" patented technology

The invention relates to an intelligent regulating system for grain harvesters and a control method thereof; an AI (artificial intelligence) control unit calculates grain impurity rate and breakage rate according to image information acquired by a grain bin camera and an elevator camera; when the impurity rate and the breakage rate exceed a set threshold, required matching values, including opening of a screen, gaps of a concave plate, rotating speed of a roller, rotating speed of a fan, rotating speed of a reel and operating speed are judged, and the required matching values are sent to a vehicle control unit; the vehicle control unit correspondingly adjusts the opening of the screen, the gaps of the concave plate, the rotating speed of the roller, the rotating speed of the fan, the rotating speed of the reel and the operating speed to arrive at the required matching values. The intelligent regulating system for grain harvesters is simple in structure and convenient to operate, and the operation quality and efficiency of the harvesters are effectively guaranteed.

The invention discloses an integrated excavation, banding and transportation device. The device comprises a vehicle body, an excavation unit and a banding unit, the excavation unit is used for diggingout spheres which are formed by tree roots and soil, the spheres are quickly banded on the banding unit, integrated work of tree excavation and banding can be quickly completed, and a large amount oflabor and time are saved.

The invention provides a text similarity analysis method for copyright authentication, including: obtaining an original first text content and a second text content of an alleged infringement; performing feature extraction on the first text content to generate a text feature vector; using a pre-trained vector matching model to match the first text content with a sample in a sample library according to the text feature vector to obtain a target sample, wherein the sample comprises a sample editing text and a sample original text corresponding to the sample editing text; determining a model by using a pre-trained editing rule mode according to the consistency of the text features between the sample original text of the target sample and the corresponding sample editing text, and determiningan editing rule mode; judging whether the second text content conforms to the editing rule mode according to the editing rule mode, and judging that the text is similar if the second text content conforms to the editing rule mode. The invention judges whether the litigated infringement text content belongs to the original text content obtained by certain editing process, so as to solve the technical problems of low efficiency, poor accuracy and large subjective arbitrariness existing in the prior art through manual comparison.

The present invention discloses a production recommendation evaluation method, device and system. The method comprises the following steps: the S1: establishing a human face identification model library; S2: obtaining human face identification information and product browsing time, wherein the face identification information comprises the current feature vector of a human face; and S3: obtaining user recommendation data according to the face identification information and the product browsing time. A camera is employed to obtain a user video image in the process of product contact, the image identification technology is employed to analyze user face emotion changing state and combine the user product browsing time to correspondingly form the recommendation data of the product so as to effectively perform product recommendation investigation, save time and labor cost and improve the investigation data accuracy, and the system provided by the invention can be utilized in the product sale and recommendation links to perform accurate marketing of target users.

The invention discloses a hepatocellular carcinoma diagnosis marker combination composed of serum microRNA and a kit comprising the marker combination. The hepatocellular carcinoma diagnosis marker combination comprises following microRNA: has-miR-145, hsa-miR-29a, hsa-miR-29c, hsa-miR-133a, hsa-miR-192 and hsa-miR-505. The hepatocellular carcinoma diagnosis marker combination and the kit can be used for liver cancer diagnosis.