40results about How to "Addressing the Impact of Detection" patented technology

The present invention relates to a chemical vapor deposition device comprising a Raman spectroscopy in-situ measurement cavity. The device comprises a transmission device, a reaction cavity for performing chemical vapor deposition reaction on a thin film material and a monitoring cavity for performing Raman spectroscopy in-situ monitoring on the thin film material; the reaction cavity communicateswith the monitoring cavity, a reaction base is arranged in the reaction cavity, and a Raman spectroscopy monitoring module is arranged in the monitoring cavity; the reaction base is used as a substrate for film material growth; the transmission device is used for controlling the reaction base to move between the reaction chamber and the monitoring chamber; and the Raman spectroscopy monitoring module is used for performing Raman spectroscopy in-situ monitoring on the thin film material moved into the monitoring cavity. The present invention provides the chemical vapor deposition device comprising the Raman spectroscopy in-situ measurement cavity, which solves the problem of in-situ Raman detection of the thin film under the condition that the growth of the thin film is not affected, and further can adjust the process in real time to reduce defects.

The invention discloses a bullet hole recognition method based on deep learning. The method comprises the following steps of 1, building a model; 2, collecting data; 3, processing and labeling the data; 4, training the model; and 5, recognizing bullet holes. A recognition system used in the method has low requirements on a target surface; the probabilities of false detection, missing detection andduplicate detection are below 1%, the recognition accuracy of the bullet holes is high, and the use requirements are met; the detection delay of the recognition system used in the method is less than40ms, and a detection result is synchronously displayed on a real-time video stream; under the condition of dense bullet holes, the overlapping rate of the bullet holes is smaller than 50%, namely, the bullet holes and the overlapping bullet holes can be distinguished; when target paper shakes relative to a camera, a center point alignment algorithm is used, so that the relative positions of thebullet holes and the center are unchanged, and the influence of the shaking of the target paper on the detection is eliminated; and a fuzzy detection algorithm is used for filtering out fuzzy pictureframes during hit by bullets, thereby effectively solving the problem of false recognition caused by picture fuzziness.

The invention discloses an integrated multi-component fermentation tail gas on-line detection device. It has simple structure, strong practicability, long-term online operation, completely solves the influence of exhaust humidity on detection and the problem of gas Louis blockage, and can complete the online detection of multiple components of exhaust gas at the same time. Its structure is as follows: it includes a chassis, and the chassis is divided into at least two relatively independent spaces, at least one of which is a sampling chamber and a detection chamber; a heating device is installed in the sampling chamber, and a gas detection device is installed in the detection chamber; the sampling chamber There is at least one air hole communicating with the detection chamber.

The invention discloses a fatigue driving early warning intervention system which comprises a self-adaptive data acquisition module, an ECU data processing module, an ECU control module, a power module, a fault self-diagnosis module, an automatic early warning device, a vibration intervention motor and an automatic braking system. According to the system, the influence of individual difference of drivers on fatigue driving detection and recognition can be well eliminated, the precision is high, and the accuracy is good. Besides, according to different fatigue driving degrees, the automatic early warning device and the vibration intervention motor can conduct voice reminding and vibration intervention of different levels respectively, and reminding and intervention are stopped after the fatigue driving state is relieved; when the fatigue driver stays at the same steering angle for a long time, the automatic braking system can be directly started, and therefore potential safety hazards caused by fatigue driving are reduced.

The invention discloses an engineering vehicle fatigue driving intervention system. The system comprises a data acquisition module, an ECU data processing module, an ECU control module, a power supplymodule, an alarm module, an automatic early warning device, a vibration intervention motor and an automatic brake module. According to the method, the influence of individual differences of drivers on fatigue driving detection and recognition can be well eliminated, the precision is high, and the accuracy is good. Besides, according to different fatigue driving degrees, the automatic early warning device and the vibration intervention motor can perform different levels of voice reminding and vibration intervention respectively, and reminding and intervention are stopped after the fatigue driving state is relieved; when a fatigue driver stays for a long time at the same steering angle, the automatic brake module can be directly started, and therefore potential safety hazards caused by fatigue driving are reduced.

The invention discloses a pH detection method. The method comprises the following steps: S1, acquiring RGB data of a red area, a green area and a blue area in a standard environment; S2, acquiring an on-site RBG value after a detection area reacts with a to-be-detected liquid, and acquiring on-site RGB data of the red area, the green area and the blue area; S3, obtaining the deviation percentage of the on-site RGB data and the RGB data in the standard environment; S4, reconstructing an on-site RBG value after the detection area reacts with the to-be-detected liquid according to the deviation percentage to obtain a reconstructed RGB value; and S5, performing color identification according to the reconstructed RGB value, obtaining the pH value of the to-be-detected liquid, and completing pH detection. According to the method, pH detection can be rapidly carried out, the influence of different devices and different environments on detection in the detection process is avoided, the influence of subjective factors of manual color recognition on a detection result is avoided, and the detection accuracy of the pH value can be effectively improved.

The invention relates to a homogeneous immunoassay kit for detecting a target IgM antibody in a sample, its use method and application. The kit includes reagent a, which includes a known antigen, which can specifically bind to the target IgM antibody in the sample to be tested to form a first complex; reagent b, which includes complement C1q, and the complement C1q can specifically binding to the first complex to form a second complex, and the complement C1q cannot bind to free IgM antibodies; wherein, any one of the known antigen and complement C1q is connected to a receptor; The acceptor can react with the received singlet oxygen to generate a detectable chemiluminescent signal; the reagent c includes a donor, and the donor can generate singlet oxygen in an excited state. The method for detecting the target IgM antibody in the sample by using the above-mentioned kit solves the impact of the non-specific IgM antibody on the detection.

The present invention provides an active photovoltaic string arc fault detection method and system, including: active signal injection step: actively generate high-frequency signal, and actively output high-frequency signal on the photovoltaic string side; current signal collection step: in the photovoltaic string Measure and record the current signal on the DC bus on the string side to obtain the current signal information on the DC bus on the PV string side; arc fault judgment steps: perform wavelet transform processing and analyze the wavelet transform processing according to the current signal information on the DC bus on the PV string side After the signal characteristics, the wavelet transform processed signal characteristics are compared with the input high-frequency signal to determine whether an arc fault has occurred in the photovoltaic string, and obtain the active photovoltaic string arc fault detection result information. The invention performs detection on the side of the photovoltaic group string, and fundamentally solves the influence of inverter noise and different operating conditions on the detection.

The invention relates to an event detection oriented multi-strategy media data stream filtering method and a device thereof. The method comprises the following steps: in an offline stage, according tothe collected media user data, a garbage user database and an application source blacklist list are constructed; in the online identification stage, media data are filtered through the trash user database and the application source blacklist list, and non-event media data are filtered through the media content and context characteristics, and the media data are online clustered to identify the event clusters, and the media data in the event clusters are purified. The invention effectively solves the influence of noise data and other non-event data in the micro-blog data stream on the micro-blog event detection. The method can clean up most non-event micro-blogs in micro-blog data stream, effectively improve the performance of micro-blog event detection, real-time, practical, is convenientfor extraction of hot topics and emergencies in time, and has an important guiding significance for new media data stream processing technology.

The invention relates to a method for detecting sulfur isotopes in sulfate for experimental teaching management, and discloses a method for detecting sulfur stable isotopes in a water sample for experimental teaching in an SO+ mode, which comprises the following specific steps: filtering, acidifying, precipitating and evaporating the water sample for experimental teaching to dryness, filling a tin cup with the water sample, and wrapping; and detecting the sample to be detected by adopting an element analyzer stable isotope mass spectrometer. According to the invention, the secondary ionization effect of the ion source high-energy electron flow on SO2+ is utilized to generate SO+ to carry out sulfur isotope detection, so that accurate, efficient and comprehensive management of the water sample for experiment teaching is realized.

The invention discloses a BJ-1 wheat sulfur stable isotope detection method based on a sulfur monoxide mode, which comprises the following specific steps: drying, grinding and filtering a BJ-1 wheat grain sample by a screen, filling into a tin cup, wrapping, and detecting a to-be-detected sample by adopting an element analyzer-stable isotope mass spectrometer. By tuning the voltage of the ion source ion repulsion plate of the isotope mass spectrometer, the high-energy electron flow generates a secondary ionization effect on SO2+ to generate SO+, and the SO+ is effectively analyzed by tuning the voltage of the quadrupole mass analyzer, so that the efficient and accurate detection capability of the BJ-1 wheat delta S34 isotope is remarkably improved, and the result precision, stability and efficiency are high.

The invention discloses a bullet hole identification method based on deep learning. The method comprises the following steps: Step 1, model building; Step 2, data collection; Step 3, data processing and labeling; Step 4, model training; Step 5, Bullet hole identification. The identification system used in this method has very low requirements on the target surface; the probability of false detection, missed detection, and re-inspection is below 1%, and the accuracy of bullet hole identification is high, meeting the requirements for use; the identification system is used in this method to detect The delay is less than 40ms, and the detection results are displayed synchronously on the real-time video stream; in the case of dense bullet holes, the overlap of bullet holes is less than 50%, that is, bullet holes and overlapping bullet holes can be distinguished; when the target paper shakes relative to the camera, the center point alignment algorithm is used , so that the relative position of the bullet hole and the center remains unchanged, which solves the influence of the target paper shaking on the detection; uses the fuzzy detection algorithm to filter out the blurred picture frames when the bullet hits, thus effectively solving the misidentification caused by the blurred picture.

The invention discloses a method for detecting sulfur stable isotopes in a seawater sample in an SO+ mode, which comprises the following specific steps: filtering, acidifying, precipitating and evaporating the seawater sample to dryness, filling a tin cup with the seawater sample, wrapping, and detecting the sample to be detected by using an element analyzer-stable isotope mass spectrometer. By tuning the voltage of the electron bombardment source and the focusing electrode, the high-energy electron flow is utilized to perform secondary ionization on SO2+ so as to generate SO+ for sulfur isotope detection, thereby enhancing the efficiency and accuracy of the sulfur isotope ratio of the seawater sample.

The invention provides a tubular NOx sensor, which includes a heating shell, a base, a diffusion barrier and a sleeve, the base includes a bottom plate and an intake pipe, the heating shell is fixed on the bottom plate and the intake pipe is inserted into the heating shell, and the diffusion barrier is fixed on the upper end of the intake pipe , the sleeve is set on the diffusion barrier, the diffusion barrier is a honeycomb coal cylinder, the base and the sleeve are made of zirconia, the outer wall of the intake pipe is provided with the lower section of the positive electrode of the main pump electrode, the lower section of the negative electrode of the main pump electrode, the lower section of the auxiliary pump electrode and Reference electrode, the sleeve is provided with the upper section of the positive electrode of the main pump electrode, the upper section of the negative electrode of the main pump electrode and the upper section of the auxiliary pump electrode, the upper section and the lower section of the positive electrode of the main pump electrode are connected, the upper section and the lower section of the negative electrode of the main pump electrode are connected, the upper section and the lower section of the auxiliary pump electrode are connected, The inner wall of the heating shell is not in contact with the intake pipe and the sleeve, and the inner wall of the intake pipe is provided with a reference electrode. The beneficial effect of the present invention is to solve the problem that the heater and the sensitive element are integrated in the existing nitrogen oxide sensor, and the leakage of the heater affects the measurement sensitivity.

The present invention relates to a chemical vapor deposition device comprising a Raman spectroscopy in-situ measurement cavity. The device comprises a transmission device, a reaction cavity for performing chemical vapor deposition reaction on a thin film material and a monitoring cavity for performing Raman spectroscopy in-situ monitoring on the thin film material; the reaction cavity communicateswith the monitoring cavity, a reaction base is arranged in the reaction cavity, and a Raman spectroscopy monitoring module is arranged in the monitoring cavity; the reaction base is used as a substrate for film material growth; the transmission device is used for controlling the reaction base to move between the reaction chamber and the monitoring chamber; and the Raman spectroscopy monitoring module is used for performing Raman spectroscopy in-situ monitoring on the thin film material moved into the monitoring cavity. The present invention provides the chemical vapor deposition device comprising the Raman spectroscopy in-situ measurement cavity, which solves the problem of in-situ Raman detection of the thin film under the condition that the growth of the thin film is not affected, and further can adjust the process in real time to reduce defects.