18results about How to "High technology content" patented technology

The invention belongs to the technical field of cable harness manufacturing, and discloses a visual auxiliary manufacturing platform and method for cable assembly, and the platform comprises a station operation platform, a small RFID tool cabinet, a large RFID tool cabinet, a station terminal, a secondary central control terminal, and a code scanner. The station operation platforms are provided with workbenches for cable assembly, the secondary central control terminal is connected with the station terminals of the plurality of station operation platforms, each station terminal comprises a display and a host, and the displays provide input, management and display of tools, tasks and parts for operators; the secondary central control terminal provides a dispatch task for the station terminal, and monitors the use of tools, the progress of the task and the consumption of parts through the station terminal; the ID is used for acquiring information of tools and parts; the large RFID tool cabinet is commonly used by a plurality of station operation platforms. A digital technical means and an intensive production mode are adopted, automatic and informationized technological equipment is fused, the technological content of aviation cable manufacturing is improved, and human influence factors are reduced.

The invention discloses construction and application of a regional scale wheat continuous cloudy and rainy ear germination mildew identification model, and aims to solve the technical problem that a method for accurately monitoring and quickly identifying wheat ear germination mildew conditions is lacked at present. According to the method, meteorological and multi-source satellite remote sensing data are comprehensively applied, model factors are constructed, a ReliefF feature selection method is utilized to screen key factors, and finally, an LDA classifier is adopted to construct a pre-harvest germination mildew recognition model, so that accurate recognition of pre-harvest germination mildew of wheat during continuous rainy days on a regional scale is realized, and the accuracy of wheat pre-harvest germination mildew recognition is improved. And powerful technical support is provided for wheat continuous rain loss reduction and post-disaster evaluation.

The invention discloses a small horizontal twin-cylinder diesel engine, which relates to the technical field of diesel engines. The engine comprises an engine body, wherein two horizontal inline cylinders are arranged in parallel inside the engine body, each of the cylinders has a diameter of 90 mm and a stroke of 75 mm, and each of the cylinders has a compression ratio of 19:1. A crankshaft output end is arranged inside the engine body, and a low-pressure pump is installed on the engine body. The diesel engine of the invention adopts light materials, ensures a good power-to-weight ratio (0.173 KW / Kg), ensures that the whole machine is small in size and light in weight, and effectively meets the needs of the market. The advanced and precise electronic speed control system can easily realize the conversion of multiple application modes, and the superior engine control capability ensures that the speed fluctuation rate of the engine is controlled within 0.3%, realizes 0 speed regulation, ensures the voltage stability of the equipped generator set, can realize the unchanged voltage value under no-load and load conditions, and improves and facilitates the fault maintainability of the speed control system.

This invention relates to the field of drug sorting and screening technology, and discloses a drug storage device and intelligent drug sorting method based on AI deep learning. The device includes a drug storage unit, a data acquisition and display unit, a decision management unit, a storage environment control unit, a drug screening unit, and a drug output and recycling unit. The data acquisition and display unit is used for user input of stored drug information, high-definition photography of the drugs, and the use of AI recognition technology to achieve visual recognition and measurement of the drug's appearance and dimensions. Continuous deep learning improves the accuracy of drug appearance recognition, facilitating the drug screening unit's selection of drug quantities. The drug screening unit automatically sorts and selects the required quantity of drugs for patients at specific times, based on different drug dosage regimens. This invention effectively solves the problem of low patient medication adherence, is highly practical, reliable, has low implementation costs, and targets a large beneficiary group.

The invention discloses a preparation method and a quality detection method of a honey loquat leaf standard decoction, and relates to the technical field of quality research of traditional Chinese medicinal materials. The method comprises the following steps: weighing a proper amount of honey folium eriobotryae decoction pieces, putting the honey folium eriobotryae decoction pieces into a marmite, decocting twice, adding 12 times of water for soaking for 30 minutes for the first time, boiling with strong fire, and then decocting with slow fire for 30 minutes; adding 10 times of water for the second time, boiling with strong fire, then decocting with slow fire for 20 minutes, filtering the liquid medicine with 200 meshes, cooling the filtrate to room temperature in a cold water bath, combining the two filtrates, carrying out vacuum concentration at the temperature of 50 DEG C, carrying out vacuum concentration at the absolute vacuum degree of 30-40mbar until the weight ratio of the medicinal material to the fluid extract is about 1: 1, collecting the concentrated solution, and carrying out freeze drying to obtain a sample. According to the method, key quality indexes such as the main content, the characteristic chromatogram and the extract of the honey loquat leaves after the decoction is prepared are measured, the transfer rate is investigated, the component transfer condition from decoction pieces to the decoction is measured by an objective quality standard, and the quality degree and effectiveness of the decoction are ensured.

The present invention provides a smart helmet management method and related equipment based on the Internet of Things, the method comprising the following steps: obtaining personnel entry information through an entrance radio frequency identification device at the entrance of a construction site, and generating a list of construction personnel; obtaining the first personnel positioning information through the radio frequency identification device, and updating the list of construction personnel; obtaining the second personnel positioning information of the target construction personnel through a positioning communication base station, and continuously updating the list of construction personnel using the second personnel positioning information; real-time monitoring of the latest position update time of all target construction personnel in the list of construction personnel; if any target construction personnel has not updated the position for a long time, sending a position update voice message to the smart helmet worn by the unknown construction personnel, and generating an emergency management strategy for the unknown construction personnel based on the list of construction personnel. The present invention has the effect of realizing efficient management of large-scale construction sites.

The utility model discloses a farming-assisting radish harvester which comprises a main body frame, a conveying belt pulling device is arranged on the main body frame, and a transmission device used for driving the harvester to move is arranged below the main body frame. The conveying belt pulling device comprises a supporting frame, two sets of conveying belts and a motor, the supporting frame is used for fixing the conveying belts to the main body frame, the conveying belts are obliquely arranged, one side of the highest position is connected with the conveying motor, and a cutting device used for cutting radishes is arranged below the tail end of the lowest position; and the collecting frame is positioned at the rear lower part of the main body frame. According to the small radish harvester, the harvesting efficiency is improved, small radishes can be rapidly and accurately harvested by the small radish harvester, the harvesting efficiency is greatly improved, and the manual harvesting time and cost are reduced.

This invention provides a method for preparing germinated oat flakes based on a pretreatment with a medicinal and edible extract, comprising the following steps: S1, treating medicinal and edible components to obtain a medicinal and edible extract; S2, adjusting the pH of the medicinal and edible extract to 4.0-8.5, and adding cellulase to the extract to obtain an enzyme-containing extract; soaking washed oat grains in the enzyme-containing extract to obtain soaked oats; S3, germinating the soaked oats to a predetermined sprout length to obtain germinated oats; S4, steaming the germinated oats using steam generated from the medicinal and edible extract; S5, drying and pressing the steamed oats to obtain germinated oat flakes. The medicinal and edible components include plant materials containing polysaccharides and phenolic compounds.

An automatic riveting device for driven disc assemblies belongs to the technical field of clutch component processing. The purpose of the invention is to provide an automatic riveting device for driven disc assemblies that changes the manual riveting process of the operator to the process of the equipment automatically conveying rivets to automatically rivet the driven disc and the transmission disc assemblies. The invention comprises two major mechanisms, a riveting mechanism and a turntable mechanism, which are installed on a stand and cooperate with each other. The invention improves the first-time qualified rate of products, optimizes the process, improves production efficiency, reduces manufacturing costs, and reduces the labor intensity of operators.

According to the method for controlling the sweeping and mopping robot to work based on the spectrum sensor, intelligent control over work of the sweeping and mopping robot is achieved by accurately recognizing the ground pollution condition, water resources and electric energy are effectively saved, the working time is shortened, noise pollution is reduced, and the cleaning efficiency and the comfort level of the living environment are improved.

This invention relates to a molding process. In particular, this invention relates to an improved two-layer molding process that allows for the selective and localized deposition of an additional cellulose layer only at points detected as critical, with the aim of enhancing its mechanical and aesthetic features.

The invention relates to the technical field of intelligent agriculture, in particular to a flue-cured tobacco prosperity index estimation method and device based on unmanned aerial vehicle canopy spectrum and texture. The method comprises the following steps: S1, measuring an SPAD value and a business index value; s2, unmanned aerial vehicle multispectral and RGB image acquisition; s3, image processing and data extraction; s4, inputting the model for calculation; s5, standardization and feature engineering; s6, estimating a flue-cured tobacco prosperity index; and S7, determining the precision of the model. According to the method, a set of flue-cured tobacco canopy texture indexes are deeply excavated to serve as a feature set based on unmanned aerial vehicle aerial photography and a multispectral image processing technology, a tobacco leaf prosperity index model is constructed by adopting an advanced machine learning method XGBoost, wide-area, rapid, timely and accurate monitoring is carried out on tobacco leaf growth vigor, and a basis is provided for objectively and truly mastering flue-cured tobacco production conditions in a large area. And a scientific basis is provided for timely, efficient and accurate management of tobacco production, early formulation of a tobacco allocation plan and the like.

The invention discloses a failure judgment method for nondestructive inspection of well drilling steel wire ropes. The failure judgment method specifically comprises the following steps: step 1, calculating metal cross sectional area loss rates of steel wire ropes with and without defect rope samples; 2, sequentially measuring magnetic lines of force of the defect-free rope sample and all defect rope samples, and determining a magnetic line center line signal value of the defect-free rope sample and a peak value of the magnetic line of force of each defect rope sample; 3, calculating a difference value between each magnetic line peak value and the magnetic line midline signal value; 4, the difference value obtained in the step 3 corresponds to the calculated metal cross section area loss rate, obtained in the step 1, of the steel wire rope, and a corresponding table is drawn; and step 5, measuring the to-be-measured service steel wire rope, and judging whether to cut the rope or not according to a measurement result. According to the method, the problems of premature rope cutting and large calculation amount of rope cutting index judgment in the prior art are solved.

The utility model belongs to the field of home textiles, and particularly relates to an aerogel flocculus with a high crow value and a high heat preservation rate and a quilt core. The aerogel flocculus comprises a surface layer, a middle layer and a lower layer which are arranged from top to bottom, wherein the surface layer is formed by weaving aerogel fibers and superfine fibers; the middle layer is formed by weaving aerogel fibers and hollow fibers; the lower layer is formed by weaving aerogel fibers and superfine fibers. The aerogel flocculus is light in weight (the gram weight is 70-380 g / m < 2 >), the Crow number reaches 3.2-4.2 clo, the heat preservation rate reaches 65-85%, the aerogel flocculus has the air permeability, the antibacterial function and the ultraviolet-proof function, and the problems that a traditional quilt core is thick, heavy, prone to hardening and the like are solved.

The invention discloses a preparation method and a quality detection method of a vinegar rhizoma corydalis standard decoction, and relates to the technical field of quality research of traditional Chinese medicinal materials. The preparation method comprises the following steps: weighing a proper amount of vinegar-processed rhizoma corydalis decoction pieces, putting into a marmite, decocting twice, adding 9 times of water for soaking for 30 minutes for the first time, boiling with strong fire, and decocting with slow fire for 30 minutes; 7 times of water is added for the second time, the mixture is boiled with strong fire and then decocted with slow fire for 20 min, the liquid medicine is filtered with 200 meshes, the filtrate is cooled to the room temperature in a cold water bath, the two filtrates are combined, vacuum concentration is conducted at the temperature of 50 DEG C, vacuum concentration is conducted at the absolute vacuum degree of 30-40 mbar until the weight ratio of the medicinal materials to the fluid extract is about 1: 1, concentrated liquid is collected, and freeze drying is conducted to obtain a sample. According to the method, key quality indexes such as the main content, the characteristic chromatogram and the extract of the vinegar rhizoma corydalis after the decoction is prepared are measured, the transfer rate is investigated, the component transfer condition from decoction pieces to the decoction is measured through objective quality standards, and the quality degree and effectiveness of the decoction are ensured.

The invention relates to the technical field of tunnel grouting construction, in particular to a grouting method based on a graphene cement-based material in a deep underground space. The preparation method comprises the following steps: S1, preparing graphene dispersion liquid; s2, taking the graphene dispersion liquid prepared in S1 as a raw material, and mixing cement and an additive to prepare a graphene cement-based grouting material; s3, grouting holes are formed in the to-be-grouted area of the tunnel, drilling operation is conducted, and grouting pipes matched with the grouting holes in size are installed; s4, a grouting pipeline is subjected to sealing detection, and the graphene cement-based grouting material prepared in the S2 is injected into a grouting hole through the grouting pipeline; and S5, the grouting process is monitored, the grouting quality is verified through a preset detection method after grouting is completed, and grouting is completed if preset requirements are met. According to the construction method, the graphene nanomaterial is innovatively applied to the field of traditional tunnel grouting, and the grouting process is improved. The method is mainly applied to the aspect of graphene cement-based material tunnel grouting.

The invention discloses a preparation method and a quality detection method of a ligusticum wallichii standard decoction, and relates to the technical field of quality research of traditional Chinese medicinal materials. The method comprises the following steps: weighing a proper amount of ligusticum wallichii decoction pieces, putting the decoction pieces into a marmite, decocting twice, adding 9 times of water for soaking for 30 minutes for the first time, boiling with strong fire, and then decocting with slow fire for 30 minutes; 7 times of water is added for the second time, the mixture is boiled with strong fire and then decocted with slow fire for 20 min, the liquid medicine is filtered with 200 meshes, the filtrate is cooled to the room temperature in a cold water bath, the two filtrates are combined, vacuum concentration is conducted at the temperature of 50 DEG C, vacuum concentration is conducted at the absolute vacuum degree of 30-40 mbar until the weight ratio of the medicinal materials to the fluid extract is about 1: 1, concentrated liquid is collected, and freeze drying is conducted to obtain a sample. According to the method, key quality indexes such as the main content, the characteristic chromatogram and the extract of the ligusticum wallichii after the decoction is prepared are measured, the transfer rate is investigated, the component transfer condition from decoction pieces to the decoction is measured through objective quality standards, and the quality degree and effectiveness of the decoction are ensured.

This invention discloses a method for preparing a standard decoction of Apocynum venetum leaves and its quality testing, belonging to the field of traditional Chinese medicine quality research technology. The invention includes the following steps: Weigh an appropriate amount of Apocynum venetum leaf slices, place them in a clay pot, and decoct twice. For the first decoction, add 12 times the amount of water, soak for 30 minutes, bring to a boil over high heat, then simmer over low heat for 30 minutes. For the second decoction, add 10 times the amount of water, bring to a boil over high heat, then simmer over low heat for 20 minutes. Filter the decoction through a 200-mesh sieve, cool the filtrate to room temperature in a cold water bath, combine the two filtrates, and concentrate under vacuum at 50°C and an absolute vacuum of 30–40 mbar until a fluid extract with a weight ratio of approximately 1:1 is obtained. Collect the concentrate and freeze-dry to obtain the sample. This invention determines the main content, characteristic chromatograms, and extractives of Apocynum venetum leaves after decoction preparation, and investigates the transfer rate. It provides an objective quality standard to measure the component transfer from the slices to the decoction, ensuring the quality and effectiveness of the decoction.