144results about How to "Avoid judgment" patented technology

The invention provides a method for tracking a highly dynamic star with a star sensor. Firstly, according to ideal star image coordinate information predicted by a former frame of the star sensor, the corresponding star image coordinates are picked up from the present frame star chart, and by utilizing the star image coordinates picked up from the present frame star chart and celestial coordinates corresponding to the star images, the posture information of the present frame of the star sensor is worked out. The invention provides a method only adopting the autonomous posture of the star sensor to work out the actual output posture of the star sensor according to the predicted posture so as to meet the control requirements of high precision and non-spinning top when an aircraft maneuvers at big angular speed. With a star tracking algorithm provided by the method, before picking up the star image coordinates, the ideal star image centers are predicted according to the former frame, and the actual star image positions are picked up by referring to the ideal star image centers; the ideal star image coordinates of the next frame of the known star in the visual field are predicted and used as a basis for picking up the star image coordinates from the next frame star chart, so the requirements on real time and reliability when the aircraft maneuvering at the big angular speed only adopts the star sensor to navigate are met.

The invention discloses an automatic chip power-on reliability detection device and a detection method and aims to solve technical problems in the prior art that hand-operated operation easily causes errors, measurement is inaccurate, and long-time and large-intensity power-on detection is not suitable. The device comprises a PC used for operating display and control software and a test board for chip tests, wherein the PC is equipped with the display and control software, and the test board comprises a serial port chip, an FPGA, a main control chip, a numerical control power supply module, an A/D conversion chip, a slot of a test chip and a card in matching with the slot of the test chip. The automatic chip power-on detection method comprises steps that, the PC receives test information, the display and control software assembles the test information into data frames and sends the data frames to the serial port chip, a tested chip is tested through the test board, and the data frames transferred from the FPGA are parsed by the automatic power-on reliability detection software of the main control chip. According to the device and the method, test result accuracy is improved, the test process is simple, and operation is simple and convenient.

The invention relates to the technical field of trend analysis and fault diagnosis of industrial equipment, and aims to provide an equipment state trend analysis and fault diagnosis method which comprises the following steps: acquiring historical operation parameters of equipment to be diagnosed; preprocessing the historical operation parameters to obtain an analysis data set; establishing a trend algorithm model according to the analysis data set; obtaining current operation parameters of the equipment to be diagnosed, inputting the current operation parameters into the current trend algorithm model, and comparing the current operation parameters with preset normal state parameters to obtain the degradation degree of the equipment to be diagnosed; and obtaining a prediction trend curve according to the current trend algorithm model, and obtaining a predictive maintenance time window according to the prediction trend curve, the current operation parameters and a preset standard limit value. The equipment state can be monitored in real time, an equipment user can master the accurate operation condition of the equipment conveniently, and meanwhile, an enough time window is provided for follow-up maintenance of the equipment.

The inventive uncleanness detecting method uses a subject region extracting unit to automatically extract a subject to be compared object in the image from an image picking-up device that is fixed at a definite point and has no movable system and to further extract an image region from the inside of the subject. A plurality of the latest extracted image regions extracted the image region from the inside of the subject is held in an extracted region image memory unit. Furthermore, a comparison of the extracted region images held by an uncleanness calculating unit is carried out. In the uncleanness calculating unit, each of the extracted region images is compared and, when the uncleanness calculating unit shows a high possibility situation of attached uncleanness, the degree of cleanness for its corresponding pixels stored in an uncleanness memory unit is increased, and vise versa. Every time an image is picked up, a subject region extraction from the image and calculation of the uncleanness thereof are carried out, so that information stored at uncleanness memory unit is updated. An uncleanness judging unit outputs a judgment result as to whether uncleanness is attached or not, or how the degree thereof is, in light of uncleanness information stored the uncleanness memory unit.

The invention discloses an image definition detection method. The image definition detection method comprises the following steps: acquiring image data, wherein the image data are output by a camera module according to a preset exposure gain parameter; acquiring gray values of the image data according to image data formats of the image data; calculating a mean value and a mean square error of the acquired gray values, and acquiring a maximum gray mean value and a minimum gray mean value according to the mean value and the mean square error; and calculating image definition according to the maximum gray mean value and the minimum gray mean value in order to perform image definition detection by comparing the image definition with a preset threshold value. The invention also discloses an image definition detection device which is matched with the image definition detection method, and test equipment. Through adoption of the image definition detection method and device and the test equipment, the discreteness of the image definition can be reduced, and the consistency of the camera module is improved.

The invention discloses a digital signal processing (DSP) device single particle turning effect testing method. According to the method, testing cases are designed by modules and are reduced on the premise that all the modules do not interfere with one another, the single-particle turning of all the modules in a DSP device are tested more comprehensively while the single-particle turning testing and interruption testing confusion of all the modules are reduced, so that the single-particle turning testing time is reduced, and resources are saved; a fixed vector testing method is adopted, a testing program works outside the DSP device, an internal program random-access memory (RAM), an internal data RAM and a register are set to be fixed vectors, transmission faults caused by program designing are reduced, the output of each interface penetrates through 0 and 1 alternating waveforms, and the judgment of interface faults is prevented.

Disclosed is a surface element projection based triangular cross-sectional ray tube electromagnetic ray tracing algorithm. The surface element projection based triangular cross-sectional ray tube electromagnetic ray tracing algorithm comprises the steps of, firstly, dividing a target surface into triangular surface elements for approximation; secondly, determining the orientation of the surface elements, and defining the surface elements facing towards the normal direction as light surface elements and those facing towards the back direction as dark surface elements; thirdly, performing shadowing judgment on the light surface elements to eliminate shadowed light surface elements; fourthly, setting a plane, which passes through an original point and is perpendicular to an incident direction, as a projection surface; fifthly, projecting the light surface elements onto the projection surface, and taking projected triangles as the cross section to form a ray tube in the incident direction of electromagnetic rays; sixthly, determining the intersection situations between the ray tube and the surface elements of the target surface to compute reflecting rays ad further to compute the RCS (radar cross section) formed during every reflection, wherein a first reflecting surface is the light surface element forming the ray tube; seventhly, superpositioning the RCSs formed by reflection of the reflecting tube to obtain a total RCS. By correlating the ray tube with the target surface elements, the surface element projection based triangular cross-sectional ray tube electromagnetic ray tracing algorithm eliminates errors generated by interaction between traditional rectangular ray tubes and triangular surface elements.

The invention relates to an intelligent radar based on target motion matching. The intelligent radar based on target motion matching is characterized by comprising a transmitter subsystem, a random waveform producing subsystem, a model matching control subsystem, a frequency source subsystem, an antenna feeder subsystem, a digital receiving and high-speed acquisition subsystem, an integrated information processing subsystem, an antenna pedestal and angle servo subsystem and a tracking control subsystem. The intelligent radar has the advantages of being high in intelligence, digital and high in accuracy, having openness and the like.

The invention relates to the field of cultivated land identification, and specifically relates to a method and a device for identifying effective cultivated land. According to the method and the device, Landsat TM remote sensing data of a long time sequence are used as a data source; Slope SLOPE data are used as auxiliary data. A normalized difference vegetation index NDVI is adopted as a classification feature. The phenological difference of crops on the agricultural cultivated land is taken as a basis; difference between crop interspecific planting periods is obtained; Characteristic differences such as spectral differences are reflected on a distribution change rule of time sequence NDVI data. An object-oriented decision classification rule combining a normalized difference vegetation index NDVI with other classification characteristics is designed. Spatial distribution information of part of crops on the agricultural cultivated land, especially the agricultural cultivated land in the western region, can be extracted. According to the method, the cultivation condition can be known, the influence of different crops in the complex planting period does not need to be considered, data sources needed by the method are easy to obtain, the data size needed to be processed is small, the classification rule is simple, the working efficiency is high, and the method is also suitable for regions with crushed cultivated land distribution.

The invention discloses a multisource traffic information fusion method for expressways. By fusion of traffic information of roads with detectors, more complete and accurate traffic information can be acquired; by fusion of the data of the roads with the detectors and the historical data, the traffic information of the roads without detectors can be predicted, and the traffic information of the integral roads can be obtained. The multisource traffic information fusion method includes steps of partitioning expressway road units, preprocessing traffic information data, and fusing inside-unit multisource traffic information and inter-unit traffic information. By fusing the traffic information acquired by various methods effectively, information types can be increased, data acquisition range is broadened, cost performance, accuracy and reliability of information acquisition can be effectively improved, and judgement and policy making error caused by failure of single information source is avoided.

The invention discloses a CPU (Central Processing Unit) startup fault positioning system and a positioning method of the CPU startup fault positioning system. The positioning system comprises a CPU, and a flash memory, an RAM (Random Access Memory) and a monitoring unit which are connected with the CPU, wherein a flash memory signal monitoring end of the monitoring unit is respectively connected with the input end of the flash memory and a flash memory chip selection signal output end of the CPU; an RAM signal monitoring end of the monitoring unit is respectively connected with an RAM input end and an RAM chip selection signal output end of the CPU; the monitoring unit further comprises a first state output indication end and a second state output indication end which are used for respectively displaying a fault condition of the fault positioning system. In a CPU startup process, a FLASH chip selection signal is captured in the CPU startup process and an RAM chip selection signal is captured; the monitoring unit is used for judging whether the CPU can be normally started up or not and the reason of a CPU startup fault according to the captured FLASH chip selection signal and RAM chip selection signal. The positioning system can be used for rapidly and accurately positioning a hardware fault in the CPU startup process and avoids signal measurement and judgment by using various instruments and meters; the positioning system is applicable to startup fault positioning of electronic equipment in large-batch production.

The invention discloses an intelligent reinforcing steel bar sleeve grouting defect detecting method based on voiceprint features. The method specifically includes: building the finite element models and actual models of reinforcing steel bar sleeve connecting structures of different grouting defect proportions, and simulating and testing the response features of optimal fixed-frequency sound waves at the structures to obtain the voiceprint features of grouting defects; using the voiceprint features of the grouting defects as the judgement standards of actual detection, and integrating the voiceprint features into a reinforcing steel bar sleeve grouting defect detecting system; during actual detection, using a rare-earth giant magnetostrictive transducer to trigger the optimal fixed-frequency sound waves, using a sound wave receiving sensor to collect the response signals of the reinforcing steel bar sleeve structures, using fractional-order Fourier transformation signal analysis and processing to obtain the actual-structure defect voiceprint features with surface interference being removed, and automatically comparing the actual-structure defect voiceprint features with a reinforcing steel bar sleeve defect voiceprint feature database so as to determine actual reinforcing steel bar sleeve grouting defects. The method has the advantages that influence of human factors is avoided, detection precision is increased, detection and analysis time is reduced, and detection efficiency is increased.

The invention discloses a fault indicator state identification method which comprises the steps of obtaining an original picture of the fault indicator and converting the original picture to a gray scale image; preliminarily determining the state of the fault indicator according to a relationship between a characteristic color value of a gray scale image pixel point and a lower limit threshold value; converting the gray scale image to a binary image; combining pixel points and dividing into blocks on the binary image, thereby obtaining characteristic color areas; and determining the draw state of the fault indicator according to each characteristic color area. The invention further discloses a fault indicator state identification device in which the fault indicator state identification method is used. The fault indicator state identification device comprises a miniature network camera, a network switch and a computer. The miniature network camera, the network switch and the computer are connected through netting wires. According to the fault indicator state identification method, the state picture of the fault indicator is compressed, processed and identified by means of image processing technology, and therefore the draw state of the fault indicator can be automatically identified, thereby preventing manual recording and determination and reducing operation difficulty, operation difficulty and workload of personnel.

The invention discloses a detection method and system of a black smoke vehicle. The detection method of a black smoke vehicle includes the steps: through the image information acquired by a crossing monitoring device, based on the improved black smoke detection algorithm of the maximum stable extremum region, performing color enhancement transformation on the black smoke region to highlight the black smoke region in the acquired image after transformation; and detecting the maximum stable extremum region on the image which is obtained through transformation, segmenting the black smoke region,thus avoiding the defect that a traditional method based on color information cannot accurately segment black smoke, accelerating the speed of detecting the black smoke vehicle, and greatly reducing the complexity of detecting the black smoke vehicle. The detection system of a black smoke vehicle is convenient to operate, and has bigger market application space.

The invention relates to a quick detection method for sulfur dioxide in food. The quick detection method comprises the steps of firstly, preprocessing a sample to be tested, carrying out ultrasonic extraction by adopting an aqueous alkali; then adding water and an acid solution into a distilling flask, connecting the distilling flask with a condensing device, placing an outlet of a condensing pipe into a starch solution added with a small quantity of titrating solution, and finally heating the distilling flask, wherein because sulfur dioxide contained in the sample to be tested can be released from the distilling flask in a heating process and the starch solution added with a small quantity of titrating solution flows through the condensing pipe, the light blue starch solution fades; continuing to dropwise adding a titrating solution until the light blue of the starch solution does not fade, thus judging a titration end point, so as to calculate the content of the sulfur dioxide in the sample to be tested through calculating the consumption quantity of the titrating solution when the titration end point is reached. The quick detection method is simple, is capable of performing qualitative and quantitative detection on the content of the sulfur dioxide in the sample to be tested, accurate in detection result and free of harmful effects to the environment and the detection personnel; the end point is easily judged.

This invention discloses a count encoding and decoding method achieved by form detecting. This method is an effective method to compress and uncompress the data of unequal probability. The process needs constant segmentation of lines. Because in the condition of limited precision, so the unlimited segmentation is not realistic and it reduces the amplifying and moving of the line, which is the updating. The updated information is the output encoding code. Update Value at the decoding end. This invention judges the positions of the two ends of the front line to get index information of 'data form', the updating line and finish other operations. It greatly saves the calculation amount of encoding. Although this invention increase the storage space to store 'data form', it greatly speeds up the calculation and improve the hardware efficiency.

The invention discloses a full-automatic oil injection system of a high-pressure compressor, comprising an oil storage tank, an oil injector, an automatic control system and oil injection points distributed on a compressor air cylinder, wherein the automatic control system comprises a pressure sensor, an oil injector liquid level sensor, a solenoid valve, an oil injector speed regulating motor and a central processing unit; and the central processing unit is used for receiving digital signals of the pressure sensor and the oil injector liquid level sensor and sending a control command to a control circuit of the solenoid valve and a control circuit of the oil injector speed regulating motor. According to the full-automatic oil injection system of the high-pressure compressor provided in the invention, final outlet pressure data of the compressor are collected by the pressure sensor and a rotating speed of the oil injector speed regulating motor is controlled through the central processing unit, so that an oil injection amount is controlled, the abnormal injection of lubricating oil in an air cylinder can be reduced and avoided, the service life of a friction part is prolonged and the cost is reduced; and meanwhile, a phenomenon that the lubricating oil overflows when the oil storage tank coveys the oil into the oil injector to lubricate can be avoided and the lubricating oil is prevented from being wasted.

The invention relates to a kit and a method for rapidly detecting sulfur dioxide in foods. The detection kit comprises the following components: a sulfur dioxide standard stock solution, pararosaniline hydrochloride, formaldehyde buffer absorption liquid, zinc lactate, a formaldehyde solution, an acid solution, an alkali solution, eluant and water. The method for detecting sulfur dioxide in foods by adopting the detection kit comprises the following specific steps: grinding a sample and adding the sample into a distilling flask; adding water and the alkali solution in sequence, soaking and filtering; adding the acid solution, distilling, washing by adopting the eluant, and finally adding the formaldehyde buffer absorption liquid, pararosaniline hydrochloride and zinc lactate, and carrying out a color development reaction; preparing a sulfur dioxide standard solution serving as a positive control group; observing the color change of a to-be-detected sample solution and the sulfur dioxide standard solution, thereby judging whether sulfur dioxide exists in the sample or not. The detection method disclosed by the invention is simple and can qualitatively detect sulfur dioxide in foods, and adverse effects on the environment and detection personnel are avoided.

The invention relates to a water replenishing judging method of a water heater. The water replenishing judging method of the water heater comprises the following steps: when the water heater is electrified and works, setting a temperature rising value delta T; detecting actual required time t corresponding to a process of increasing the temperature of water in the water heater by the temperature rising value delta T; calculating theoretical required time t corresponding to the process of increasing the temperature of the water in the water heater by the temperature rising value delta T; comparing the actual required time t to the theoretical required time t; if the actual required time t is smaller than the theoretical required time t, determining that the water heater needs water replenishing; and reminding a user. By the method, whether the inside of the water heater is in a dry burning state and whether the water heater needs water replenishing can be quickly and accurately judged, the user is reminded of replenishing water, and the water heater is prevented from working in the dry burning state and is protected effectively, so that the service life of the water heater is prolonged.

The invention provides a method for positioning a low-frequency oscillation source based on a graph theory. The method comprises the steps of building a power grid weighted adjacent matrix, determining a line Lmax where a maximum oscillation energy flow is located, solving front K shortest paths of the line Lmax by using multiple labeling methods so as to acquire a path line set Lines, traversing in the path line set Lines to determine a maximum oscillation energy flow cut set, determining whether a K-value is corrected or not, and determining a region where the oscillation source is located according to the maximum oscillation energy cut set. According to the technical scheme provided by the invention, the region where the oscillation source is located is positioned by using the maximum oscillation energy cut set, the number of applied electrical variables is small, and only real-time information of the lines is acquired in application, so that a problem of information loss of a unit is solved, and increase in time cost caused by using state estimation is avoided. Meanwhile, the method is also applicable to a circumstance that the oscillation source is not a unit, so that the applicability in disturbance source positioning is improved.

The invention discloses an electronic paper detection method and an electronic paper detection device. The electronic paper detection method comprises the steps of: controlling electronic paper to sequentially lighten a display picture according to a pre-written display image set; acquiring a picture display quality parameter of the electronic paper under the current display picture; if all picture display quality parameters do not exceed a corresponding picture display quality parameter range, determining that the electronic paper under the current display picture is qualified; and if the atleast one picture display quality parameter exceeds the corresponding picture display quality parameter range, determining that the electronic paper under the current display picture is unqualified. According to the electronic paper detection method, objective detection of whether the parameter value meets the requireme111385604Ant or not replaces subjective observation of the picture to judge thedisplay quality of the electronic paper, therefore, the probability of misjudgment is reduced, the accuracy and reliability of an electronic paper detection result are improved, the steps of observing the picture by detection personnel are reduced, the time consumed for detecting the electronic paper is shortened, and the production efficiency of the electronic paper is improved.

The invention relates to a signal receiving device and a frequency determining circuit. The signal receiving device is suitable for receiving a multi-bit signal to be determined that supports a first type of base frequency or a second type of base frequency, and outputting a type indicator for indicating the signal to be determined to support the first type of base frequency or the second type ofbase frequency; the signal receiving device comprises a counter and a frequency determining circuit; the counter comprises an accumulating unit for counting cycles of an operating clock so as to obtain a bit count; the frequency determining circuit compares the bit count with a first set value or compares the bit count with a second set value according to the value of the previous type indicator,and determines whether to update the value of the type indicator based on the comparison result. In addition, the invention also discloses a frequency determining circuit.