677results about How to "Improve detection stability" patented technology

The invention provides a natural gas hydrate water discharge gas production exploitation device and an exploitation method of the natural gas hydrate water discharge gas production exploitation device, and belongs to the technical field of natural gas hydrate exploitation. A feeding cavity (12) communicated with a natural gas hydrate layer (29) is connected with an in-well gas-liquid separator (7), an exhaust cavity (8) of the in-well gas-liquid separator (7) is communicated with a gas production sleeve pipe (17), and a water discharge opening of the in-well gas-liquid separator (7) is communicated with a liquid storage cavity (2) arranged at the lower part. According to the exploitation method adopting the device, the natural gas hydrate layer (29) is firstly heated, the in-well gas-liquid separator (7) is utilized for separating gas-water mixture generated in the natural gas hydrate decomposition process, meanwhile, a liquid level monitoring device is utilized for regulating the water discharge speed of an electric submersible pump (4), and the decomposition speed of the natural gas hydrate is controlled. The device and the method have the advantages that the natural gas hydrate exploitation well liquid accumulation can be effectively prevented, the gas production efficiency is improved, the work is safe and reliable, the environment is protected, the service life is long, and the like.

The invention discloses a tire fetal-membrane surface character defect detection method based on machine vision, which comprises the following steps: scanning tire fetal membranes to be detected and acquiring a set of images, respectively processing the acquired image and then obtaining the external arc-shaped contour of the tire; fitting circle center and radius of the external arc-shaped contour of the tire, conversing the external arc-shaped image to be detected of the tire to a straight type image to be detected through polar coordinates transformation, performing threshold segmentation, positioning a ROI image to be detected; obtaining the straight type image corresponding to a CAD design image of the tire fetal membrane to be detected, intercepting the straight type image to obtain an image block matched with each ROI image to be detected; performing character identification on each ROI image to be detected and the matched image block, and performing defect determination according to the character identification result. The method can automatically detect the character defect of the tire fetal membrane, has the advantages of high detection stability, low detection cost and fast detection speed, and can be widely used in the tire fetal membrane detection field.

The invention provides a method for detecting trace elements in human body whole blood through an inductively coupled plasma mass spectrometry method and belongs to the technical field of biotechnical detection. The method comprises the following steps: (1) pre-treating a whole blood sample; (2) detecting a mixed element standard solution and a to-be-detected sample solution by an inductively coupled plasma mass spectrometer; and (3) performing quantitative analysis on a detection result and calculating the content of to-be-detected elements in the human body whole blood sample. The method provided by the invention can be used for simultaneously detecting the content of trace elements, such as magnesium, manganese, calcium, iron, copper, zinc and lead, in the human body whole blood; the sample dosage is less; the pretreatment is simple; the cost is low; the whole detection process is short in time and high in efficiency; the detection sensitivity and precision andthe detection stability are high.

The invention discloses a system and method for detecting language voice frequency, and belongs to the technical field of language signal processing. The system comprises an acoustic feature extraction module, a phoneme identification module, an acoustic confidence calculation module, a language confidence calculation module, a prosodic feature extraction module and a classification discrimination module. Through comprehensive utilization of acoustic confidence, language confidence and prosodic feature information, the detection performance of the system is obviously improved, the system is suitable for the detection of voice frequencies with different lengths and has good detection stability, various non-target language voice frequencies and noise voice frequencies can be processed, the system has good practicability and can be quickly expanded according to the types of non-target languages by providing the acoustic model and the language model of a new language and then re-training a classifier model, so that the system structure has better flexibility and expandability.

The invention relates to a particle-enhanced turbidimetric immune assay kit for detecting adiponectin and a preparation method thereof, in particular to a detection method of a turbidimetric immune assay. The particle-enhanced turbidimetric immune assay kit for detecting the adiponectin comprises a kit body, an application liquid bottle and a latex suspension bottle coating an antiviral adiponectin monoclonal antibody, wherein the application liquid bottle is filled with application liquid; the application liquid comprises a surfactant, a preservative, a macromolecular accelerator, sodium chloride and a buffering agent; the latex suspension bottle coating the antiviral adiponectin monoclonal antibody is filled with a latex suspension coating the antiviral adiponectin monoclonal antibody; and the latex suspension coating the antiviral adiponectin monoclonal antibody comprises latex coating the antiviral adiponectin monoclonal antibody, the surfactant, a stabilizer and the buffering agent. The preparation method comprises the following steps of: preparing a latex antibody; preparing the latex suspension coating the antiviral adiponectin monoclonal antibody; preparing the applicationliquid; and finally preparing adiponectin series standard products.

The invention relates to a kit for detecting genetic cardiac hypertrophy related gene mutation samples, particularly to a product for detecting genetic cardiac hypertrophy related genes by a massively parallel sequencing platform technology. The method involved in the kit comprises: a) uniquely designing and preparing a capture probe, which is directed at all exon fragments of genes ACTC1, ACTN2, BRAF, CALR3, CASQ2, CSRP3, GLA, HRAS, JPH2, KRAS, LAMP2, LDB3, MAP2K1, MYBPC3, MYH6, MYH7, MYL2, MYL3, MYLK2, MYOZ2, PRKAG2, RAF1, SOS1, TCAP, TNNC1, TNNI3, TNNT2, TPM1, TTN, TTR, and VCL; b) designing unique joints with tag sequences; c) using universal primers to conduct PCR amplification on probe sequences; and d) designing unique operations for capture of mixed target fragments. The massively parallel sequencing platform prepared by the method and the kit has the advantages of high sample throughput, high efficiency, and easy operation, thus greatly reducing the sequencing testing cost.

The invention discloses an automatic assembly line type cellphone online testing method, and the method comprises the following steps: (1), implanting testing software in a plurality of to-be-tested cellphones; (2), preparing an automatic assembly line type cellphone online testing system; (3), enabling the to-be-tested cellphones to be placed on a testing carrier, wherein the to-be-tested cellphones is driven by the upper conveying rail to move to a testing machine bench along with the testing carrier; (4), enabling a PC to transmit an AT instruction to built-in testing software in the to-be-tested cellphones through a testing communication model, enabling a PLC to drive the testing machine bench to carry out one operation for the to-be-tested cellphones according to the content of the AT instruction, and enabling the testing software to test the functions of the to-be-tested cellphones; (6), taking out the to-be-tested cellphones after the detection is finished, enabling the testing carrier to move to the lower end of a feeding bench along with a lower conveying rail, and enabling a front end lifting platform to lift the testing carrier back to the feeding bench. The method is quick and accurate in testing instruction transmission, improves the testing efficiency, is quick and precise in testing, and reduces the testing time.

The invention discloses a method for detecting surface defects of ceramic valve cores based on machine vision. The method comprises the following steps: respectively establishing templates and mask plates for the ceramic valve cores in different sizes; respectively performing template shape matching with the polishing surface templates and non-polishing surface templates in corresponding sizes according to a to-be-detected surface image of a to-be-detected ceramic valve core; confirming the surface, position and direction of the to-be-detected surface image, and then aligning the to-be-detected surface image with a selected template and mask plate; performing Blob detection on the to-be-detected surface image of the to-be-detected ceramic valve core; and performing crack detection on the to-be-detected surface image. According to the method for detecting surface defects of ceramic valve cores based on machine vision provided by the invention, the surface defects of the to-be-detected ceramic valve core can be automatically detected, the detection stability is high, the detection cost is low, the detection speed is high and the detection rate reaches 95%. Besides, the total time for detecting and recognizing various defects is less than 0.3 second. The method can be widely applied to the field of detection for the surface defects of the ceramic valve cores.

The invention provides an on-line detection system and an on-line detection method for pipes or bars ultrasonic phased array. The method comprises the following steps of: arranging a plurality of concave surface phased array energy converter probes on planes which are perpendicular to the center lines of the pipes or bars and at the position which forms a certain included angle with the center lines of the pipes or bars at the peripheries of the pipes or the bars; generating an electronic control sound field focused by the phased arrays by utilizing the concave surface phased array energy converter probes; and switching continuously and quickly by utilizing a high-voltage switch array, a multi-channel phased array transmit-receive system and a control system through a high-voltage switch array circuit, and controlling different array elements of the concave surface phased array energy converter to transmit and receive at different moments, so that phased array focusing acoustic beams rotate in the pipes or bars at high speed to realize dynamic focusing and scanning. By the system and the method, the 360-degree full-coverage scanning of the pipes or bars can be realized under the condition that the concave surface phased array energy converter probes are not moved, longitudinal and traverse defects can be scanned and detected, and the detection speed is improved greatly while the detection accuracy is improved.

The invention belongs to the technical field of food quality and safety detection and particularly relates to a method for rapidly detecting pork, beef, mutton and chicken components in food at the same time through animal genomic DNA (deoxyribonucleic acid) extraction, primer design and UP-M-PCR (universal primers-multiplex-PCR). The four meat components can be distinguished rapidly at the same time according to differential sites of mitochondrial cytochrome b of the animal by using the forward primer sharing and reverse primer specificity strategy and an M-PCR system including five primers. The result shows that the method has the advantages that the detection limit can be up to the pictogram level, the components of the reaction system are free from cross interference and the meat products on market can be detected, verified and distinguished accurately by sampling 80 meat products randomly according to the specificity of the four target meat components. In a word, the invention provides a specific, sensitive and practical multiplex PCR method for rapidly screening four common meat components in food at the same time.

A preparation method of a nanometer composite film ammonia gas sensor comprises the following steps: 1, taking 18-20 parts by weight of aniline monomers, dispersing the aniline monomers into deionized water, adding 0.1-3 parts by weight of graphene, and uniformly stirring; 2, adding 700-1000 parts by weight of 1mol / L hydrochloric acid to the mixed solution obtained in step 1, placing the obtained solution in an ice water bath, continuously stirring for 20-40min, adding a solution containing 456 parts by weight of ammonium persulfate, placing in the ice water bath, and reacting for 14-18h under stirring; 3, filtering, taking the obtained precipitate, respectively washing with the deionized water and alcohol, drying for 24-72h to obtain dry powder, dispersing the powder in an alcohol solution with the concentration of 15-40% (v / v), and carrying out ultrasound for 3-5h to obtain a uniform dispersion; and 4, coating the dispersion on an interdigital electrode, and obtaining the nanometer composite film ammonia gas sensor after the alcohol solution volatilizes. The sensor prepared through the preparation method has the advantages of high detection sensitivity, good stability, no need of a heating part, and realization of working at room temperature.

The invention discloses a method and system for detecting network pornography videos in real time. The method comprises the following steps: according to the length of a network video, establishing a pre-extracted frame number queue KFN of key frames, wherein KFN={n1, n2,..., nN} with the condition of n1<n2<...<nN; according to the pre-extracted frame number queue of key frames, extracting a key frame in order and decoding the key frame; carrying out pornographic content detection on the decoded key frame and judging whether the key frame contains the pornographic content; according to the detection result of the pornographic content of the single key frame together with the detection results, which are obtained previously, of other key frames, carrying out decision fusion judgment; if judging the key frame contains the pornographic content, considering the video contains the pornographic content and completing detection; if judging the key frame does not contain the pornographic content, considering the video does not contain the pornographic content and completing detection; and if whether the key frame contains the pornographic content is uncertain, continuing detecting the single key frame.

The invention which relates to an automatic constant temperature type photoacoustic detection device for SF6 decomposed components and an experiment method thereof belongs to the technical field of SF6 gas insulation device partial discharge online monitoring. The device is characterized in that an automatic constant temperature system is arranged in present infrared photoacoustic spectrum monitoring systems; and according to the method, the device is utilized to detect the SF6 gas partial discharge decomposed components in a GIS (gas insulated substation) simulation element under automatic preset temperature constancy conditions. According to the invention, the influence of external environment can be eliminated, the gas components of SO2, CO2, CF4, SO2F2, SOF2 and the like with the concentrations of low to 0.01muL / L can be effectively detected, the accuracy, the detection precision and the stability are high, and performances of a solid state relay are stable, so the long-term effective working of the automatic constant temperature system can be guaranteed. The device which can be widely applied to the field of the SF6 gas insulation equipment partial discharge online monitoring is especially suitable for detecting the SF6 gas partial discharge decomposed components in the GIS.

An origin position signal detector comprising: a rotary or linear scale (1) which includes an incremental track (3) magnetized at equal intervals and an origin position detection track (4) for detecting an origin position, and a magnetic sensor (5) which detects magnetic fields from the scale. The origin position detection track includes an origin position magnetized portion (11) and side magnetized portions (12) provided on both sides of the origin position magnetized portion (11) and magnetized with magnetization in the same direction at one or more positions as the origin position magnetized portion (11).

The invention discloses a high-throughput detection method for grain form parameters. The high-throughput detection method includes the steps: setting up a grain form detection platform; calibrating a detection environment; acquiring and segmenting an image; extracting a contour and acquiring characteristic parameters; sieving adhered grains and impurities by the aid of a grain form parameter preset threshold; analyzing an image in the contour and realizing high-throughput color and texture characteristic detection; outputting grain form parameter detection results. The detection results are accurate and reliable, and compared with a manual measuring method, the grain form parameter detection method greatly improves detection efficiency and stability. The detection requirement for the grain form parameters in gene research can be met, the method is simple to implement, detection is efficient and accurate, and application requirements are met.

The invention relates to a low-voltage power distribution area identification method, comprising the steps that a transmitting terminal is used for injecting a strong power supply voltage pulse sequence into a power grid; a receiving terminal is used for identifying the power distribution area and the phase of the power grid through detecting the voltage pulse sequence. The invention further provides a low-voltage power distribution area identification instrument, which comprises a transmitting instrument and a receiving instrument, wherein the transmitting instrument is used for injecting the strong power supply voltage pulse sequence into the power grid; the receiving instrument is used for identifying the power distribution area and the phase of the power grid through detecting the voltage pulse sequence.

The invention discloses a novel SERS substrate-based method for quantitatively testing pathogenic bacteria, and belongs to the technical field of biological detection. Silicon dioxide treated by an immunospectral marker is coated with gold nanoparticles for quantitative test of the pathogenic bacteria. Raman spectra signal monitoring data are more stable and reliable and can be greatly repeated. The method is good in test stability, high in sensitivity, high in specificity, the detection process is simple, fast, accurate and quantitative, and a wide detection interval and a low detection limit are obtained. The method is simple in operation, an SERS immune signal probe and a capture probe can be prepared in advance, the capture probe and the signal probe only need to be sequentially added to a to-be-detected sample for reaction during operation and the test is carried out at once through magnetic separation after the reaction is completed: the collection time is 30s, and then the concentration is immediately read from a standard curve, thereby achieving fast quantitatively testing. The method can meet the requirements of food safety and environment monitoring departments, and has wide practicability.

The invention discloses a composition for detecting the instability of a microsatellite and application of the composition. The composition comprises primer pairs respectively used for detecting specific target genes relevant with the instability of the microsatellite in a to-be-detected sample. A kit for detecting the instability of the microsatellite is used for detecting microsatellite distribution conditions of nine loci of Bat 26, Bat 25, NR-21, NR-24, NR-27, Mono-27, D5S346, D2S123 and D17S250 and three loci of Penta C, Penta D and Amel by virtue of a specific multi-fluorescence PCR fragment through an analysis capillary electrophoresis method and detecting whether the microsatellite is in a stable or instable state. By adjusting the proportion of 12 pairs of primers, the use amounts of Taq enzyme and magnesium ions, a PCR system and the like, and the sensitivity and specificity of the whole kit are improved.

The invention relates to a sample preparation kit for detecting neurofibromatosis 1 (NF1)-related gene mutation, and in particular relates to a product for detecting NF1-related gene by the massively parallel sequencing platform technology. The kit is that A, a capture probe is specially designed and prepared for all exon fragments of NF1 gene; B, an unique linker with a tag sequence is designed; C, RCP (Polymerase Chain Reaction) amplification is performed for the probe sequence through a primer; and D, the operation of capturing a targeted fragment after mixing is specially designed. A massively parallel sequencing platform prepared through the method and the kit is high in sample throughput, high in efficiency, and simple and convenient to operate, and the sequencing inspection cost is greatly decreased.

The invention discloses a character defect detecting method of a tire mold. The method comprises the following steps of S1, scanning the tire mold of a tire to be detected, collecting and obtaining a group of images, and obtaining the circular-arc-shaped profile of the outer side of the tire; S2, fitting the circle center and the radius of the circular-arc-shaped profile of the outer side of the tire, and then, positioning an image region of the tire mold of the tire as an ROI (region of interest) image to be tested; S3, classifying the ROI image; S4, selecting different methods for processing according to the classification of the ROI image, and obtaining a CAD (computer aided design) image block matched with each ROI image; S5, performing character recognition, and further performing defect judgment according to the character recognition result; S6, responding to the condition of the character defect existence judging result; returning the operation to execute the fourth step and the fifth step so as to select the judgment result with few character defects as the final result after secondary defect judgment. The character defect detecting method has the advantages that the detection stability is high; the detection cost is low; the detection accuracy is high; the false alarm rate is low; the application range is wide; the character defect detecting method can be widely applied to the field of tire mold detection.

The invention discloses a mobile phone color analysis based cysteine detection method.The method includes: performing sample pretreatment to prepare a cysteine chromogenic sample solution; by means of image acquisition and image analysis, calculating pixel values of each component of the to-be-detected solution in different color spaces such as an RGB (red, green and blue) color space, an HSV (hue, saturation and value) color space and a CMYK (cyan, magenta, yellow and black) color space, and fitting a cysteine detection curve by means of least square fitting to obtain a corresponding relation between a cysteine concentration and the pixel values of each color component; calculating the cysteine concentration.By the mobile phone color analysis based cysteine detection method, quantitative cysteine detection is realized.In addition, the mobile phone color analysis based cysteine detection method has the advantages of simple operation procedures, portability and universality of devices, adaptability to real-time mobile phone monitoring and the like.

The present invention provides a multi-frequency data processing-based airborne D-InSar deformation detection method. According to the method, DEM (Digital Elevation Model) information is obtained through low-frequency echo data interference processing and inversion; the DEM information is adopted as reference rids for high-frequency echo BP imaging, so that a corresponding SAR image can be obtained; interferometric processing is performed on the SAR image, so that an interference phase containing terrain information and an interference phase containing terrain and terrain deformation information are obtained; and differential processing and inversion processing are performed on the two interference phases, so that corresponding terrain deformation variables can be obtained. With the method provided by the invention adopted, error introduced by the approximate calculation of a system can be controlled, and therefore, the detection precision of the system can be improved; contradiction between detection accuracy and data processing complexity of a traditional D-InSAR system can be alleviated; the information of high-frequency data can be obtained effectively; phase unwrapping difficulty can be reduced; the detection accuracy and stability of the system can be improved; de-grounding operation can be omitted; and flat-earth effect removal operation can be omitted; and an interference data processing flow can be simplified.

The invention discloses a surface plasma resonance sensor coupled with a parabolic cylindrical reflection prism, which comprises an optical transmitter module, an optical receiver module, and an optical reflection module used for receiving rays emitted by the optical transmitter module and reflecting the rays to the optical receiver module. The optical transmitter module is orderly provided with a light source, a beam expanding lens, a collimating mirror, a filter, and a rectangular diaphragm in the direction of the rays; the optical reflection module consists of the parabolic cylindrical reflection prism and a metal film positioned at the position of a focal line of the parabolic cylindrical reflection prism; and the optical receiver module consists of a polarization splitting prism used for receiving the rays emitted by the light reflection module, a first CCD array used for receiving s light emitted by the polarization splitting prism, and a second CCD array used for receiving p light emitted by the polarization splitting prism. The surface plasma resonance sensor has simple and compact structure, accurate light beam convergence, and simple and convenient production and debugging, and effectively improves the detection stability of the surface plasma resonance sensors with angular modulation.

The invention discloses a 3D visual inspection system of gluing quality. The system comprises a 3D contour scanner, an image processing unit, an encoder, and a computer. The 3D contour scanner consists of an area array CCD and a straight linear laser generator. The image processing unit transmits an adhesive tape 3D image signal shot by the 3D contour scanner to the computer. The encoder fixed with the 3D contour scanner together generates a pulse and triggers the 3D contour scanner to collect an image. The computer with image processing software arranged inside the computer is able to locatean adhesive tape track, calculate the width and area of the adhesive tape, and compare the width and area of the adhesive tape with respective preset threshold values to determine whether the gluing is qualified. In addition, the invention also discloses a 3D visual inspection method of gluing quality. Compared with the prior art, the 3D visual inspection system and method have the following beneficial effects: the continuity and location of glue can be detected accurately and stably; the detection efficiency is improved; and the detection reliability is enhanced.

The invention belongs to the field of immunology, and particularly relates to a micro-fluidic chip according to a time-resolved fluorescent technique, a preparation method of the micro-fluidic chip and an application of the micro-fluidic chip. The micro-fluidic chip according to the time-resolved fluorescent technique comprises a sample adding area, a filtering area, a time-resolved fluorescent micro-sphere antibody or antibody compound binding area, a micro-mixer, a reaction area and a waste liquid area. According to the micro-fluidic chip, antigens or antibodies marked by time-resolved fluorescent nano-particles, light stability is strong, sensitivity is high, and interference of samples can be effectively avoided. The antigens or antibodies of a plurality of items to be detected can besimultaneously marked on the micro-fluidic chip, a plurality of items of a single sample can be simultaneously detected, efficiency is improved, and sample cost and time cost are saved. The preparation method of the micro-fluidic chip is simple, detection accuracy is high, low difference between batches and high stability are ensured, and full quantitative detection of the samples can be realized.

The invention discloses a method for detecting the friction loss and anchoring loss of a post-tensioned pre-stressing concrete structure. The method can detect two pre-stress loss indexes such as the friction loss and anchoring loss required by the specification, and can also measure the friction loss of a pre-stress tendon in both a one-end tensioning construction process and a two-end tensioning construction process. The method disclosed by the invention is higher in detection precision and stability, and all the defects of stress loss detection of the conventional sensor method can be overcome; and meanwhile, whole pre-stress construction processes can be effectively detected and monitored. The method can be widely applied to high-intensity materials for pre-stressing, such as non-bonded pre-stressed tendons, retard-bonded pre-stressed tendons, steel bars, steel ropes and carbon fiber bars, so as to detect the friction loss and anchoring loss of the post-tensioned pre-stressing concrete structure of each pre-stressed tendon during pre-stress tensioning construction.

The invention discloses a virtual running parameter detecting method of an air conditioner system. A parameter operational model of an air conditioner is established according to the incidence relation between the temperature of the preset position of the air conditioner and to-be-detected running parameters; when the air conditioner runs, the temperature of the preset position of the air conditioner is collected; and the to-be-detected running parameters are output according to the temperature of the preset position of the air conditioner and the parameter operational model. The invention further discloses a virtual running parameter detecting device of the air conditioner system. The to-be-detected value during running of the air conditioner can be obtained without using multiple metering tools so as to detect the state of the air conditioner, the detecting cost of the air conditioner is reduced, and the detecting stability and precision of the air conditioner are improved.

The invention provides a bulk acoustic wave sensor with high stability, which comprises a piezoelectric substrate, an upper surface electrode and a lower surface electrode deposited on the upper surface and the lower surface of the piezoelectric substrate and a sensitive membrane covered on the upper surface electrode, and the bulk acoustic wave sensor is characterized in that the sensitive membrane adopts a semiconductor type sensitive material. Wherein, the sensor adopts the bulk wave mode, the sensitive membrane adopts the semiconductor type sensitive material, and acoustic waves are transferred from one surface of a piezoelectric crystal to the other surface and spread in the crystal. When a loaded object to be tested reacts with the sensitive membrane, the features of the acoustic waves are changed, and a conclusion of the features of the object to be tested is obtained by detecting the changes. The bulk acoustic wave sensor utilizes the mature design technology of the bulk wave sensor and the research results of the semiconductor type sensitive material and fully combines the sensitivity of the bulk wave sensor with the stability of the semiconductor type sensitive material,thereby realizing the practical bulk wave sensor with high stability; and compared with the existing surface acoustic wave sensor, the processing technology is simpler.

A multi-scale presswork defect detecting method based on a random forest comprises the steps that a certain number of aligned and qualified presswork images are input to form training samples; after setting of a detection area, generating of defect detection points and multi-scale expressing of the images of the training samples are conducted, the cross channel binary feature of each defect detection point under each scale is collected, then the random forest is trained, and a random forest defect detecting model for all defect detecting points under multiple scales is generated; after the model is available, a test image is given, firstly, multi-scale expression is generated, whether defects exist at the defect detecting points or not is judged through the trained random forest defect detecting model under all scales, multi-scale screening and composition are conducted on the defect detecting points, and finally a detecting result is formed. By means of the method, the detecting speed is increased, and the detecting precision is improved; under the premise that the calculation complexity is not obviously increased, the detecting effect is superior to the detecting effect of other presswork defect detecting algorithms at present.

The invention discloses a device and a method for automatically detecting defects of a glass medicine bottle. The detection device comprises a rack provided with a table board, and a medicine bottle feeding mechanism, a detection station, a discharging mechanism, a broken bottle removal mechanism, a bottle-lifting rotating mechanism and a visual inspection mechanism, which are arranged on the rack, wherein medicine bottles are conveyed to the detection station through the feeding mechanism; then the medicine bottles are lifted and rotated for a circle under drive of the bottle-lifting rotating mechanism, so that repeated photographing is finished; photos are directly transmitted to the visual inspection mechanism for judging the defects; if the visual inspection judges that the bottles are defective products, the bottles are removed through the broken bottle removal mechanism, and the medicine bottles which pass the detection enter the discharging mechanism. By employing automatic feeding, detecting and discharging, compared with manual detection, the detection device has the advantages that non-contact non-stop detection can be realized through visual inspection, so that the detection quality is improved, the detection speed is increased, the economic benefits of customers are improved from three aspects such as the product quality, the production rate and the manual cost, and the enterprise cost is reduced.