40results about How to "Sensitive judgment" patented technology

The invention discloses a method for determining fatty aldehyde in drainage oil. The invention uses the specificity of the large amounts of fatty aldehyde contained in the waste oil; the waste oil is subjected to pretreatment and derivatization reaction with 2,4-dinitrophenylhydrazine to generate different 2,4-dinitrophenylhydrazone; and high performance liquid chromatography is used for detection. The method realizes determination of aldehydes in the waste oil (drainage oil) and at the same time can carry out efficient, simple and sensitive judgment on whether a commercial edible oil sample is laced with drainage oil.

The invention relates to L-band RF (Radio Frequency) system output port protection equipment which comprises an L-band RF system output port protection circuit arranged in a metal sealed cavity, wherein the circuit comprises a coupler, a detection comparison circuit and a digital control feedback circuit; the detection comparison circuit comprises a forward detection circuit, a reverse detection circuit, a tuning circuit and a comparator; the data feedback circuit comprises a data processing circuit, a VSWR (Voltage Standing Wave Ratio) indication circuit and a protection judgment circuit; after the equipment is connected with an RF system final amplifier, an L-band incident wave is separated from a reflected wave in proportion by utilizing the coupler, the separated reflection quantity and incidence quantity are compared by the detection comparison circuit, then a logic level is output, and connected with the digital control feedback circuit, and port matching is judged by data processing, so that when a port is mismatched, the protection circuit can timely close a corresponding sending signal, and a protection function is exerted; and the whole equipment has the characteristics that the equipment is small, exquisite, light, and sensitive in indication and judgment.

The invention provides a fault direction detection method and device, a relay and a computer readable storage medium. The fault direction detection method comprises the steps that when relay protection is started, the fault voltage data and the fault current data of a fault line are synchronously acquired; a line mode voltage fault component is determined according to the fault voltage data, and a line mode current fault component is determined according to the fault current data; correlation calculation is performed on the line mode voltage fault component and the line mode current fault component so as to obtain the characteristic correlation coefficient; and the fault direction of the line fault can be determined according to the characteristic correlation coefficient. With application of the technical scheme, the fault direction can be sensitively judged when the fault occurs near the zero crossing point of the voltage, and the motion speed is within a few milliseconds without the influence of the limited frequency band of the capacitive voltage transformer commonly used in the high voltage power transmission line so that the reliability of fault direction detection can be enhanced.

The invention discloses a distribution network overcurrent protection method based on deep reinforcement learning, which includes the steps of: starting the protection, and judging whether the current quick-break protection operates within a cycle: if the current quick-break protection does not operate, it is not necessary to optimize the fixed value; if When the current quick-break protection operates, optimize the setting value; determine the optimal setting value according to the trained MA-DDPG algorithm; judge the relationship between the current effective value and the optimal setting value: if the current constant current effective value is greater than the optimal setting value , then the protection outlet will act; if the current effective value of the current is less than or equal to the optimal setting value, then judge the relationship between the current and the starting value: if the current is less than the starting value, the protection will return; otherwise, it will return to judge whether the current quick-break protection operates within one cycle Steps are cycled. The present invention applies the content of deep reinforcement learning to the field of relay protection for the first time, and combines artificial intelligence technology with traditional relay protection technology to improve the efficiency of protection.

The invention involves the use of serum GP73 concentration for the use of hepatitis tissue inflammatory activity detection. It provides a test kit for hepatitis tissue inflammation activity.Patients with moderate inflammation can be applied to patients with moderate inflammation and normal ALT, as well as patients with antiviral hepatitis.

The invention discloses a video foreground image extraction method and device, relates to the field of computer vision, and is used for solving the problem that image segmentation is difficult to perform by using a Gaussian Mixture Model (GMM) when the image foreground is similar to the background grayscale of the image. The method comprises the steps that foreground pixel points are extracted from the present frame of image according to the GMM so that a first pixel point set is obtained; the background reference image of a video stream is determined, and the image is transformed to an HSV color space from an RGB color space so that a background HSV image is obtained; the present frame of image is transformed to the HSV color space from the RGB color space so that the present frame of HSV image is obtained; the Euclidean distance of the HSV value of the pixel points of the same coordinates in the present frame of HSV image and the background HSV image on an HS plane is calculated, and a set formed by the pixel points locating in the same coordinates in the present frame of image acts as a second pixel point set if the Euclidean distance is greater than a first threshold; and the foreground image is obtained according to the first pixel point set and the second pixel point set. The video foreground image extraction method and device are applied to foreground image extraction.

The invention discloses a human bocavirus type 1 antibody indirect ELISA diagnosis kit. The kit comprises an antigen coated ELISA antibody detection plate and an enzyme-labeled secondary antibody, the antigen coated on the antibody detection plate is the truncated protein (VP2N) of 210 amino acids at the N terminal of a human bocavirus type 1 structure protein VP2, and the enzyme-labeled secondary antibody is a sheep anti-human enzyme-labeled secondary antibody. The amino acid sequence of the truncated protein VP2N is represented by SEQ ID NO.1, and the coding sequence of the truncated protein VP2N is represented by SEQ ID NO.2. The VP2N recombinant protein adopted in the invention is convenient for massive preparation and purification. The kit can be used for detecting a human bocavirus type infected antibody or diagnosing human bocavirus type infection, and has the advantages of simplicity and fastness in operation, short time, low cost, extreme suitableness for detecting a large amount of individual serum samples, and very high practicality.

The invention discloses a single winding device for an automatic soft bobbin winder. The single winding device comprises a winder, a variable-amplitude filament guide device, a fixed length control device, a tension adjusting device and a single-chip microcomputer, wherein the winder comprises a winding frame and a groove drum, the variable-amplitude filament guide device comprises a variable-amplitude guide rail, a tension spring, a movable pull rod and an adjustable rotary rod, the fixed length control device comprises an infrared light-operated filament detector, a thread shear, an alarm indicator lamp and a reset button, and the single-chip microcomputer is used for controlling all the devices. The single winding device is simple in structure, reasonable in design and low in cost and noise, pineapple-shaped forming and fixed length and broken filament automatic stopping functions can be conveniently realized in use of the single winding device, high-quality soft winding can be realized, dyeing quality in subsequent procedure and smoothness in rewinding can be improved, and accordingly operating efficiency and economic efficiency of factories can be improved.

The invention discloses a variance-based zero-sequence over-current inter-turn protection method for graded controllable reactors. The method comprises the steps of (1) calculating a variance delta U0 between the zero-sequence voltage of the current cycle of a reactor head end and the zero-sequence voltage of the previous cycle thereof; (2) calculating the variance delta I0 between the zero-sequence current of the current cycle of a control winding side and the zero-sequence current of the previous cycle thereof; (3) on the condition that the variance delta I0 of the zero-sequence current is larger than a zero-sequence over-current threshold delta Iset and the variance delta U0 of the zero-sequence voltage is smaller than a zero-sequence voltage blocking threshold delta Uset, concluding the occurrence of an in-region grounding fault or an inter-turn fault and realizing the inter-turn protection. According to the technical scheme of the invention, on the basis of the zero-sequence current variance on the same control winding side, the amplitude of the line-side zero-sequence voltage variance is compared to judge the inter-turn fault of a reactor load on the control winding side of the reactor. In this way, during the occurrence of an inter-turn fault on the control winding side of a graded controllable high-voltage shunt reactor, the reactor is prevented from being affected by the influence of the incomplete-phase operation and other operating states based on the zero-sequence over-current protection means. Meanwhile, the method is simple and concise in criterion, sensitive in protection and high in reliability.