42results about How to "Achieve initial screening" patented technology

The invention discloses a medlar picking machine, and belongs to the technical field of medlar picking. The medlar picking machine comprises a support frame assembly, a collecting assembly and a vibration assembly, and has the following connection relationship that a support frame B of the collecting assembly is movably connected with a support frame A of the support frame assembly through a lifting oil cylinder, and the movable connection of the collecting assembly and the support frame assembly is formed; in addition, the support frame B is positioned inside a cavity formed by the support frame A, and the strip-shaped gap of a bottom plate of the support frame B is placed along the X-axis direction; a vibration frame plate of the vibration assembly is glidingly connected with the support frame B of the collecting assembly through a double-rolling-wheel structure, and the movable connection of the vibration assembly and the collecting assembly is formed; in addition, the vibration frame plate can slide on the support frame B along the X-axis direction. The medlar picking machine has the advantages that through a multi-point uniform distribution vibration swinging type fully automatic picking mechanism, the picking efficiency is improved, the thorough picking rate of fresh medlar fruits is high, in addition, only ripe fruits are harvested in the operation process, and unripe fruits cannot be damaged.

The invention relates to a method for detecting an infrared sample target based on a cyclic consistent confrontation network, comprising the following steps: 1) enhancing the details of the infrared image of the original data set; modifying the image generation network; training the image generation network, using the data set enhanced by the infrared image details The adjusted image generation network is trained, the training data includes visible light images and infrared images processed by image detail enhancement; the final image generation network model is obtained; applied to the target detection network, the visible light image obtained through the image generation network model is input The object detection model performs object detection.

The present invention relates to the field of big data technology, and discloses a high-quality sowing equipment based on big data information, including a mounting base and a sowing device fixedly installed inside the mounting base. The top right side of the sowing device is fixedly connected with a feeding hopper. The right side of the top of the sowing device is provided with a feeding trough connected to the bottom of the feeding hopper; the inner left side of the sowing device is provided with a cavity, and the inner left side of the cavity is fixedly installed with a drive mechanism for power. The right side of the pull plate is slidingly connected with a pull plate for transmission, and the left end of the pull plate is linked with the output end of the drive mechanism; the top of the right side of the pull plate is fixedly connected with a screen extending to the inside of the trough. The high-quality seeding equipment based on big data information realizes the functions of seed screening, sowing and watering with a set of power devices, which not only simplifies the structure of the equipment, reduces the weight of the equipment, but also reduces energy consumption, and realizes the advantages of agricultural big data equipment. Energy conservation.

The embodiment of the invention provides a mining script detection method, a mining script detection server, a mining script detection client and a mining script identification system. the method comprises the steps of detecting whether a current network environment has network resources accordant with a first preset mining rule on a client side; if the network resources accordant with the first preset mining rule is detected, determining that the network resources carry a suspicious mining script; blocking the execution of the network resources; and sending the network resources carrying thesuspicious mining script to the server, and confirming the mining script by the server. According to the method, the server, the client and the system provided by the embodiment of the invention, thetimeliness of identification of the mining script is enhanced.

The invention provides a satellite scheduling method based on task invitation, and relates to the field of aerospace. It includes the following steps: acquiring historical missions of satellites; acquiring historical mission demand vectors based on historical missions; acquiring mission demand vectors to be observed based on tasks to be observed; acquiring similarity between historical missions and missions to be observed based on two demand vectors; acquiring based on similarity target satellite; invite the target satellite; accept the invitation when the target satellite meets the three constraints at the same time, and get the invited satellite; obtain the factor scale value based on the preset evaluation factors; obtain the weight vector based on the factor scale value; obtain the same evaluation factor The satellite capability scale value of the invited satellite is obtained; the total satellite capability vector is obtained based on the satellite capability scale value; the value score of the invited satellite is obtained based on the weight vector and the total satellite capability vector. The present invention has high efficiency in screening satellites.

A melon seed separation unit comprises a support, and a material collection portion, an air separation portion, a seed collection container, a peel collector and a base which are fixed along the support sequentially from top to bottom. The material collection portion is integrally in the shape of a circular arc, and a seed passage is arranged in the bottom of the material collection portion. An air source pipe is fixed to the top end of the support, penetrates through the material collection portion and penetrates out from the bottom of the seed passage. The air separation portion comprises a circular arc air separation chamber and a collection chamber which are communicated through a first air separation passage and a second air separation passage, the first air separation passage is arranged axially along the air separation portion and opposite to the air source pipe, and the second air separation passage is annually arranged around the first air separation passage. The melon seed separation unit is simple to operate, quick and effective and good in separation effect, the material collection portion, the air source pipe and the air separation portion are integrated, physiological property of the seeds is unaffected as soaking is omitted, no mechanical damage is caused to the seeds, germination vitality of the seeds is unaffected, and storage and utilization of seeds are facilitated.

The invention discloses a screening device for gingkoes. The device includes a rack body (1) and at least one layer of transmission device arranged on the rack body (1). Each transmission device comprises a spiral shaft (2) and an optical shaft (3) arranged in parallel to each other. The spiral shafts (2) are rotatably connected to the rack body (1), and the optical shafts (3) are fixedly connected with the rack body (1). The optical shafts are provided with first grooves (31) in the radial directions of the optical shafts, and the first grooves (31) are opposite to the spiral shafts (2). Through the screening device for gingkoes, gingkoes can be screened and classified into different sizes and various specifications, and the shell removal rate of the shell removal process is thus improved.

The invention relates to a method for detecting obstructive sleep apnea syndrome. The method includes the following steps: using a photoelectric plethysmography (PPG) sensor for oxygen saturation information collection, using a snore sensor for snore information collection, and using a respiration signal sensor for respiration information collection; processing collected respiration information to acquire an average respiration rate and average respiration strength; processing collected snore information to acquire average snore strength within a time period before current moment; performing high-pass filtering on collected PPG signals; according to an artificial intelligent decision-making theory, building a fuzzy element set by the respiration information, the snore information and the oxygen saturation information after being processes, establishing a subordinate function, creating a fuzzy grade list and a fuzzy function set, building a multi-factor evaluation matrix and judging whether a person has the obstructive sleep apnea syndrome or not according to a maximum subordinate principe. The invention further relates to a system for detecting the obstructive sleep apnea syndrome.