37results about How to "Easy to analyze and identify" patented technology

The invention relates to a rolling bearing fault diagnosis method and system based on particle swarm optimization, and a medium. The method comprises: obtaining an initial vibration signal of a rolling bearing in the operation process, and obtaining an initialization parameter of the initial vibration signal by adopting a particle swarm optimization method; performing variation mode decompositionon the initial vibration signal according to the initialization parameters to obtain a plurality of intrinsic mode components; selecting one inherent mode component containing most fault characteristic information from the plurality of inherent mode components as a most sensitive mode component, and carrying out band-pass filtering processing on the most sensitive mode component to obtain a faultcharacteristic vibration signal; and analyzing the fault characteristic vibration signal, extracting the fault characteristic information, and identifying the fault according to the fault characteristic information. The fault diagnosis accuracy and the fault identification precision of the rolling bearing can be effectively improved, the method can be widely applied to the technical field of signal fault diagnosis, and normal operation of mechanical equipment is guaranteed.

The invention discloses a preparation method of steamed rhizoma polygonati. The preparation method of the steamed rhizoma polygonati comprises the following steps: removing impurities and fibrous roots from fresh rhizoma polygonati, completely washing and airing for 12 to 36 hours, putting into a drying oven with the temperature of 30 to 50 DEG C, and drying for 12 to 36 hours to enable the watercontent to reach 25 to 40 percent; taking outing and cutting into thick sheets of 5 to 10 mm, and drying in a drying oven with the temperature of 40 DEG C for 12 to 36 hours to enable the water content to reach 15 to 24 percent; putting the dried rhizoma polygonati sheets into a steaming container, steaming for 4 to 8 hours and taking out; drying by hot air with the temperature of 55 to 80 DEG C for 10 to 20 hours to enable the water content to reach 12 to 15 percent to obtain one-steamed and one-dried rhizoma polygonati; repeating the above operation for four times to obtain five-steamed five-dried rhizoma polygonati; putting the five-steamed five-dried rhizoma polygonati into the steaming container, steaming for 4 to 8 hours and taking out; and drying by hot air with the temperature of 70 to 80 DEG C to enable the water content to reach 7 percent to obtain six-steamed six-dried rhizoma polygonati, wherein the 5-HMF content of the product is more than or equal to 0.6 mg/g. According to the preparation method provided by the invention, the steaming process is optimally designed and stage-by-stage processing treatment is adopted, so that the rhizoma polygonati product has more excellent quality, has taste and natural component content which are more excellent than those of the prior art, and has remarkable health application advantage.

The invention discloses a preparation method for a procambarus clarkii ovarian tissue total protein sample suitable for dimensional electrophoresis. The method comprises the following steps: fully grinding ovarian tissue by using the liquid nitrogen method; precipitating proteins by using the trichloroacetic acid-acetone method, that is, precipitating the proteins by using a precooled acetone solution containing dithiothreitol and trichloroacetic acid and rinsing precipitate with a precooled acetone solution containing dithiothreitol a plurality of times; adding a sample lysate to prepare the high quality procambarus clarkii ovarian tissue total protein sample suitable for dimensional electrophoresis. The preparation method for the sample suitable for dimensional electrophoresis is rapid, reliable, simple and practicable, enables a dimensional electrophoresis pattern with high quality and good experimental repeatability to be obtained and subsequent biological mass spectrometric analysis and identification of the proteins to be convenient, and has a great practical application value.

The invention discloses a charge coupled device (CCD) detection device for an automatic burling machine. The CCD detection device comprises a CCD camera, cloth guiding rollers and light sources. Cloth is horizontally arranged between the two cloth guiding rollers. The light sources comprise a main light source and a standby light source. The standby light source is arranged on one side of the cloth. The CCD camera is arranged on the other side of the cloth, and is arranged opposite to the standby light source. A detection area is formed at a joint between the cloth and a main optical axis of the CCD camera. The main light source is arranged between the cloth and the CCD camera. A connecting line from the main light source and the detection area forms an included angle of 20 to 70 degrees with the plane of the cloth. A distance between the main light source and the cloth is shorter than that between the CCD camera and the cloth. The CCD detection device effectively improves the detection efficiency and increases a flaw detection rate. By the technical scheme, the detection speed of higher than 150 meters per minute can be achieved, the flaw detection rate can be over 96 percent, a fallout ratio can be lower than 1 percent, and false detection can be almost avoided.

The invention relates to a network communication sales method and a system based on robot voice interaction. The method comprises receiving voice demand information from a user by a robot, and recognizes the speech requirement information, Analyze according to the recognition result, determining whether the user's demand information content matches the service content on the e-commerce service platform, If yes, the robot generates an operation instruction according to the demand information content, and selects the service content corresponding to the demand information content on the e-commerce service platform according to the operation instruction, and the e-commerce service platform sends the service content to the supplier to guide the supplier to provide the service corresponding tothe service content and complete the network sales; If not, the robot synthesizes the speech guidance information according to the demand information content, and feeds the speech guidance informationback to the user until the demand information content matches the service content. Through the robot voice interaction to achieve network sales, it solves the problems of consumers who cannot use electronic equipment, and greatly facilitates people 's lives.

The invention provides a knee osteoarthritis diagnosis system based on inherent time scale decomposition, phase space reconstruction and neural network. The system comprises a gait data acquisition module, a gait characteristic extraction module, a modeling module based on an RBF neural network, a training bait mode database, a dynamic estimator module and a diagnosis module. Based on the extracted bait dynamics data of knee joint angle and displacement, through inherent time scale decomposition, an effective rotation component signal is extracted. Phase space reconstruction is performed on the effective rotation component signal. An Euclidean distance is calculated. An effective gait characteristic variable is acquired. Neural network modeling and identification are dynamically performedon the gait system of a healthy normal person and a training person who suffers from the knee osteoarthritis. A normal value neural network is used for constructing a dynamic estimator, thereby realizing auxiliary diagnosis to the knee osteoarthritis. Compared with diagnosis facilities such as magnetic resonance imaging and arthroscope operation, the system has advantages of noninvasive operation,time saving, cost saving, etc.

The invention discloses a behavior action recognition algorithm based on child behavior characteristics. The method comprises the following steps: step 1, an image collection terminal acquires a childactivity image and performs modeling processing on the child activity image, and the specific process of the image modeling processing is as follows: extracting the child activity image, extracting aclear child whole-body picture from the child activity image, extracting the clear child whole-body picture from a background, and marking the child whole-body picture as a reference model; step 2, feature point determination processing is performed on the processed child image model, so that a plurality of feature points can be determined; 3, an recognition reference surface is determined, the corresponding feature points are subjected to line connection processing, a judgment feature line is obtained, and the reference surface is the ground in the child activity image; and step 4, analyzingand processing the reference surface and the judgment line to judge the behavior and action of the child. According to the invention, action recognition can be carried out more accurately and quickly, the method is more suitable for children, and user requirements are met.

The invention provides a method for rapidly determining polysaccharide peptide in a lucid ganoderma product. The method takes a high performance liquid chromatography-evaporative light-scattering detector (HPLC-ELSD) as a detection means and takes lucid ganoderma polysaccharide peptide as a comparison product to rapidly detect the content of the polysaccharide peptide in the lucid ganoderma product. The pre-treatment of a sample only needs simple extraction operation and is convenient and rapid; finally, after the sample is subjected to chromatography high-performance separation, the evaporative light-scattering detector is used for carrying out quantitative analysis on the polysaccharide peptide in the product; a determination result is high in accuracy and good in stability; the method is better than a current common spectrophotometric method, so as to provide a very effective analyzing method for quality identification and quality control of the lucid ganoderma product.

An Asiatic corn borer larva plasma protein sample preparation method suitable for dimensional electrophoresis belongs to the technical field of preventing and controlling injurious insects in farmlands. The Asiatic corn borer larva plasma protein sample preparation method comprises the steps that the body surface of Asiatic corn borer larva is sterilized to collect hemolymph, 10mg fo N-phenylthiourea is added into per 200ul of hemolymph, the hemolymph is centrifuged to take supernatant to be separated and packed, 80ul of 50% polyethylene glycol (PEG) is added into each tube, the final concentration is 40%, the hemolymph is shocked and evenly mixed to be in ice bath for 1 hour, the hemolymph is centrifuged to remove supernatant, four times of volume of cold acetone suspension is added into sediment to be shocked and evenly mixed to be in ice bath for 30 minutes, and crude extract of Asiatic core borer larva plasma proteins are dissolved into hydration/crack buffer fluid to be centrifuged to take supernatant to obtain Asiatic corn borer larva plasma protein dimensional electrophoresis sample fluid. The preparation method can prepare Asiatic core borer larva plasma protein samples quickly and easily, can obtain high-quality dimensional electrophoresis patterns with good repeatability and facilitates follow-up researches on biomass spectrometry analysis and identification proteins. The preparation method can be widely applied to researches on the Asiatic core bore larva plasma proteins and has high practical value.

The invention relates to a method for preparing an aphid protein sample applicable to dielectrophoresis, belonging to the field of agricultural pest prevention and control technologies. The method comprises the following steps of: adding aphids into liquid nitrogen, grinding the aphids and the liquid nitrogen together into powder, adding 1.5 ml of cold acetone, evenly mixing, shaking, and centrifuging to collect a precipitate; putting the dried precipitate into liquid nitrogen and quartz sand, then grinding again, and then, adding a saturated phenol solution and an SDS (Sodium Dodecyl Sulfate) buffer solution of the same volume; adding a methanol-dissolved 0.1M ammonium acetate solution of a 5 times volume that of a phenol phase sucked after centrifuging into the phenol phase, putting the mixture into a refrigerator of -20 DEG C for precipitating for 2 hours, washing the precipitate by using the methanol-dissolved 0.1M ammonium acetate solution firstly, and then washing the precipitate by using 80% cold acetone so as to obtain an aphid protein crude extract; and dissolving the aphid protein crude extract into a hydration/pyrolysis buffer solution, then centrifuging, and collecting an supernatant, thereby obtaining an aphid protein dielectrophoresis sample. The method has the advantages that the preparation of the aphid protein sample is simple and fast, the dielectrophoretogram with high quality and good repeatability can be obtained, and the analysis and identification of proteins through a biological mass spectrometry are facilitated. The method is widely applied to aphid proteomics research.

The invention discloses a simulation method for mountain city land utilization evolution, which comprises the following specific steps: S1, data preprocessing: acquiring mountain city remote sensing image data, and preprocessing, S2, driving factor determination and contribution analysis: selecting city driving factor data, and performing factor contribution analysis on different land utilization types, s3, model simulation: simulating the land utilization condition by determining parameters such as a conversion rule and a neighborhood weight, and S4, precision evaluation: comparing a simulation result with real land utilization data, and verifying the precision through a Kappa coefficient and a FoM index. Simulation is carried out on the basis of an improved CA model-PLUS model, a new conversion rule data mining framework in the model can be used for identifying a rule of land utilization change, the advantages of a conversion analysis strategy and a pattern analysis strategy are combined, and the conversion analysis strategy and the pattern analysis strategy are combined by increasing special driving factors of a mountain city and distinguishing the contribution degree of each factor, so that the accuracy of the conversion analysis strategy is improved. The land utilization simulation precision of the mountainous city is improved, so that the driving factors of land utilization evolution of the mountainous city are accurately analyzed, and the land utilization change is accurately simulated.

The invention discloses a fruit tree supporting device for fruit tree cultivation. The device comprises a first mounting seat and a second mounting seat which are matched with each other, a horizontal clamping screw rod and a second transmission rod are assembled on the first mounting seat in a spaced mode, a sliding seat is assembled between the clamping screw rod and the second transmission rod, and a base is connected to the upper end of the sliding seat. A connecting base is assembled on one side of the base through a plurality of evenly-distributed assembling bolts, and circular-arc-shaped limiting plates are installed on the connecting base. According to the fruit tree supporting device for fruit tree cultivation, the base, the connecting base and the limiting plates are assembled through the assembling bolts, the suitable connecting base and the limiting plates can be selected conveniently for fruit trees of different varieties and different growth periods, and the fruit tree supporting effect is improved. The first mounting base and the second mounting base are easy to disassemble and assemble and can be conveniently placed and spliced around the fruit trees. Through cooperation of a pressure sensor and a limiting spring, the clamping force of the two limiting plates on the fruit tree support is conveniently controlled, and orderly growth of the fruit trees is ensured.

The invention relates to the technical field of video processing, in particular to a video patrol processing method based on AI analysis. The method comprises the following steps: acquiring a training video data set, preprocessing the training video data set, and establishing a video detection abnormity model; and acquiring video data through monitoring equipment, and transmitting, by the monitoring equipment, the video data to a video processing platform through a network bus. The video patrol processing method based on AI analysis provided by the invention has the advantages that video image data can be conveniently analyzed and identified; expired data can be timely cleared; abnormal data in an image and a video can be conveniently detected; and the video patrol processing efficiency can be effectively improved. According to the method, the existing problem that safety accidents are caused due to the fact that dangers are not timely processed and early warned due to the fact that video monitoring cannot be processed at the first time when the abnormity occurs is solved, and security and protection workers can be timely notified to eliminate potential safety hazards when the abnormity occurs.

The invention provides a coaxial fluid liquid path structure which comprises a fluid input mechanism and a fluid output mechanism fixedly connected to the lower portion of the fluid input mechanism, a main fluid enters a main fluid flow channel from a main fluid input end, a coating fluid enters a coating fluid flow channel from a coating fluid input end, and the coating fluid forms spiral laminar flow through vortex edges. In this way, the main fluid can linearly run in the coating fluid of the spiral laminar flow, the coaxial co-flow effect of two kinds of incompatible fluid is achieved, and material particles in the main fluid can be conveniently analyzed and recognized.

The invention relates to the technical field of target identification and tracking, and discloses a target positioning method and system based on multi-source data fusion and a storage medium, and the method comprises the steps: S1, inputting the scene information of a monitoring area; s2, identifying whether a target enters a monitoring area or not; s3, collecting image information of a target in the monitoring area, and judging the position of the target in combination with scene information of the monitoring area to obtain first positioning of the target; s4, sound information in the target direction in the monitoring area is collected, sound content is recognized, the position of the target is judged in combination with scene information of the monitoring area, and second positioning of the target is obtained; and S5, correcting the first positioning according to the information of the second positioning to obtain accurate positioning. On the basis that the camera collects images to recognize target positioning, target positioning is further corrected and optimized through the collected sound information in the target direction, more accurate positioning is obtained, and the positioning effect is better compared with traditional image recognition positioning.