582results about How to "Strong anti-interference" patented technology

The invention provides an intelligent household electric appliance system based on ZigBee and page generation and an implementation method thereof, wherein the system comprises a computer, an embedded Web gateway and a plurality of terminal devices. The embedded Web gateway comprises an ARM (Advanced RISC Machine) microprocessor, a Flash SDRAM (synchronous dynamic random access memory), a time circuit, a power circuit, a network card interface and a ZigBee coordinator module, wherein the automatic generation of the household electric appliance control page is achieved based on the embedded Web server. The ZigBee coordinator module is wirelessly connected with the terminal devices via a ZigBee protocol for transmitting operation instructions and uploading the date of the terminal devices. The terminal devices receive the gateway instructions, execute the control instructions and unload the operation state of the devices and the environment parameter data. The computer remotely accesses the embedded Web gateway via the internet so as to obtain the household electric appliance control page, to manage the names of the terminal devices and to check and control the operation state of the devices and the environment parameter.

The invention discloses a method and a device for personal location based on motion measurement information. The invention calculates motion distance and direction and finally determines the current location of an operational staff by measuring the motion state of the operational staff and according to motion types and motion models; and at the same time, the invention combines the motion models with a GPS so as to use the GPS to revise location errors and model parameter errors. The invention overcomes the defect that the traditional navigation locator can not realize location when the GPS signals are deficient and has higher location accuracy. The device of the invention has the technical characteristics of being light and portable and having strong anti-interference performance, higher reliability and higher accuracy.

The invention discloses a lane line predicating and early warning method suitable for a city road. According to the method, firstly, down sampling is performed on a collected road image, a detection region of interest is set and grayed, filtering enhancement is performed on the region of interest, edge detection is performed through a Canny operator, binarization is performed on the image after edge detection, then the image is mapped on a Hough plane, and lane lines are extracted through improved Hough conversion; then, parameters of the lane line are predicated by the adoption of a classical Kalman filtering algorithm, a region of interest is established, and the lane lines in the region of interest are fitted through a least square method to obtain the optimal predication value; finally, road surface information and current position information of automobiles are combined to establish a lane line departure warning model based on transverse distance, and therefore departure warning is achieved. The recognition method for the lane lines is good in real-time performance and robustness, according to the lane line departure warning model, calculation is easy, and warning is accurate.

The invention discloses a laser vision guided automatic welding track tracking system which comprises an embedded type industrial personal computer with an image processing device, a laser vision sensor, a welding robot, matched welding equipment and a workpiece clamping workbench; the laser vision sensor is installed on a welding gun in an advanced parallel manner in the welding direction through a laser sensor fixing element; the welding gun is installed on a tail end flange disc of the welding robot through a welding gun fixing element; and the embedded type industrial personal computer is connected with the laser vision sensor through a circuit. The invention also discloses a laser vision guided automatic welding track tracking method. With adoption of the laser vision guided automatic welding track tracking system and method, without the process of teaching in advance, the welding production efficiency and the adaptive ability are improved through real-time detection and tracking; and meanwhile, the problem of tracking lag caused by advanced detection is prevented, and the problem that when a sensor is too near the welding gun, large noise of coupling feature images is caused by factors including strong arc light irradiation, high temperature and smoke dusts, thus the real time and the tracking accuracy of the system are restricted is solved.

The invention discloses an urban road traffic obstacle tracking and detecting method in which image preprocessing, foreground image extraction, road area detection, multi-target tracking, initial obstacle detection, road traffic safety threat analysis and other parts are related. According to the image preprocessing part, the reliability of image subsequent processing is improved by reducing noise in images and enhancing image contrasts; the foreground image extraction part is used for target detection; the road area detection part is used for judging the positions where obstacles are located, and obtaining road areas by using an eight-neighborhood seed gray filling algorithm; the multi-target tracking is carried out by combining a mean value offset algorithm and a nearest neighbor searching algorithm; the obstacles are judged by detecting the changes of the positions of targets; whether threats to traffic safety are caused by the obstacles or not and whether alarm is carried out or not are judged by analyzing upstream vehicle states. According to the urban road traffic obstacle tracking and detecting method, traffic accidents can be prevented from happening by automatically detecting the urban road traffic obstacles through fixed image sensors.

The invention relates to an automobile anti-collision alarm system based on pulse laser ranging, which belongs to the technical field of electronics, which is provided with a control circuit, a laser transmitting circuit, a laser receiving amplifier circuit and relevant circuits. A single chip microcomputer STC12C5A60S2 is the core of the control circuit, after laser pulse signals are in spectral processing by a spectroscope with the support of corresponding programs, one channel of the laser pulse signals is reflected by a reflector to be directly received by a PIN receiving circuit, another channel of the pulse laser signals is reflected by an automobile ahead, and then is received by the APD (avalanche photo diode) laser receiving circuit, after receiving time of each of the channels of the laser pulse signals is accurately corrected by a discriminator circuit, the channels of the laser pulse signals are transmitted to the single chip microcomputer master control circuit to be processed, the distance from an automobile with the automobile anti-collision alarm system and the automobile ahead is monitored in real time, and the system can give a sound and light alarm when the automobile is in danger, simultaneously reminds a driver of controlling automobile speed in a voice manner and keeping the distance from the automobile to the automobile ahead. In addition, when necessary, the system outputs brake signals to control the automobile to brake. Besides, the automobile anti-collision alarm system is large in measurement range, high in directivity, interference resistance, precision and practicality, fast in response time and simple in structure, and has high economic benefit and social benefit.

The invention discloses a forest fire positioning and alarming system based on a wireless sensor network, which relates to the field of wireless transmission and fire monitoring. The forest fire positioning and alarming system consists of a terminal node and a convergence node, wherein the terminal node consists of a coordinator node, a router node and an acquisition node. The invention further discloses a forest fire monitoring, finding, positioning and alarming method based on the wireless sensor network and a terminal node arrangement method. A sensor of the terminal node is used for monitoring a forest environment and a fire extinguishing point. The system has the advantages that: the wireless sensor network is applied to forest fire prevention, an origin of fire is positioned according to the characteristic of any terminal node in the wireless sensor network, and all nodes in the entire network have monitoring and positioning functions. According to the advantages of zigbee and embedding, a fire positioning and alarming system with low cost, low power consumption and high interference resitance is established.

The invention discloses a method for compensating finite interference time of a remote operation system based on a terminal slide model. The method comprises the steps of respectively selecting a master robot and a slave robot so as to form a remote operation system, respectively measuring system parameters of the master robot and the slave robot, measuring power-off position information of the master robot and the slave robot online, obtaining joint speed information of the master robot and the slave robot by virtue of a robust precise differentiator, designing a finite time interference observer based on a terminal slide model, feeding back to the controller design of the master robot and the slave robot, and acquiring a parameter value range of the interference observer by virtue of a Lyapunov equation. By virtue of the method, the problems of low observation speed and limited capacity of an existing observer are solved, the influences caused by parameter indeterminacy and unknown interferences to the remote operation system are overcome, and the anti-jamming performance of the system is improved; and the controller design is simplified, and the application in engineering practice is benefited.

Provided is an assisted enhancement navigation method and device. The method includes receiving a GNSS satellite signal and locating itself according to the GNSS satellite signal to obtain the original PVT data of the low-orbit satellite itself, wherein the GNSS satellite signal includes a GNSS satellite navigation message, and the original PVT data includes the original location, the original speed and the original time; making precision of the original PVT data by means of a track precision algorithm to obtain the precision PVT data; processing the precision PVT data and the GNSS satellite navigation message to generate a navigation assisted enhancement message signal; and broadcasting a low-orbit satellite signal containing the navigation assisted enhancement message signal for the navigation of a ground terminal. The assisted enhancement navigation method and device provided by the invention improve the precision of navigation.

The invention discloses a three-dimensional high-resolution resistivity prospecting and direct imaging method, the main content is to use a unipolar-dipole device for forming a mutually crossed orthogonal observation system in a total test area; the application of the three-dimensional high-resolution resistivity prospecting and direct imaging method can overcome the problems that the existing two-dimensional high-resolution resistivity prospecting method has inaccurate tunnel positioning and undetermined tunnel shape caused by the side effects. Compared with the general three-dimensional high-density resistivity prospecting method, the three-dimensional high-resolution resistivity prospecting and direct imaging method has high sensitivity to underground tunnels, thereby truly realizing the multiple coverage measurements of underground analysis and distinguishing units, having stronger anti-interference and static offset removing capabilities and easily realizing the rolling measurement and the seamless connection of the test area. The three-dimensional direct imaging method is fast and effective, and has no problem of difficult convergence. The method can obtain more precise information of the positions, the sizes and the shapes of the underground tunnels, thereby having great significance for the study of the shallow fine geological structure.

The invention discloses a vision-based navigation and positioning control method for a transformer substation inspection robot. The method includes the steps of setting a navigation path and stop position markers in advance, the inspection robot automatically identifying the inspection path and the stop positions through machine visual sense, laying a navigation marker line on a transformer substation road, setting identification points with different shapes on the navigation marker line to mark the current inspection position of the robot and key inspection equipment, and conducting real-time video capture and real-time control on the robot. The vision-based navigation and positioning control method has the advantages of high anti-interference performance, capability of running on a complex road, high stability and high accuracy.

The invention discloses an ultrasonic wave and wireless-based jointed location method, relating to a location method. One datum point and a plurality of points to be located are included, wherein the datum point comprises an ultrasonic wave transmitting module, a wireless ratio transmitting module and a timing module; and each point to be located comprises an ultrasonic wave receiving module, a wireless radio receiving module and a main processing module for processing an ultrasonic wave and a wireless radio signal. The datum point periodically simultaneously transmits an ultrasonic wave signal and a wireless radio signal, the points to be located continuously receive the wireless radio signal; when the wireless radio signal is received, a corresponding timer is started and stops timing until the ultrasonic wave signal is received, and the main processing module processes the distance from each probe to the datum point, and figures a position of each point to be located, thus location is realized. The ultrasonic wave and wireless-based jointed location method has the advantages of simple structure, convenience for installation, low cost, multi-target location, strong interference and the like, and is very suitable for fields of intelligent location of families and enterprises.

The invention relates to a similarity based wireless sensor network mobile node positioning method. The method includes the steps: after anchor node deployment is finished, each anchor node uploads a data package including self node ID (identity) and position to a sink node, and the sink node collects the data packages of the anchor nodes to establish a digital link list; according to anchor distribution information in the digital link list, the sink node performs virtual grid division for a greenhouse and returns to a coordinate of grid vertexes except for those outside a zone boundary; the sink node collects a group of RSSI (radio signal strength indication) values of communication of mobile nodes with the anchor nodes and coverts the values into distance vector by the aid of a simplified lognormal shadow model; similarity among the distance values corresponding to the mobile nodes and the grid vertexes except for those outside the zone boundary is computed through a similarity function; and a centroid of a zone enclosed by a grid vertex set with the highest similarity serves as an estimated coordinate of the mobile nodes. The method is accurate in estimation of mobile node coordinates, low in computation complexity, perfect, and excellent in positioning performance.

The invention discloses an intelligent transformer terminal and a monitoring method thereof. The intelligent transformer terminal consists of a hardware part and a software part, wherein the hardware part comprises a host, a lead, a sensor assembly, an information processing module, a protection function module, a control output function module, an exception warning function module, a display module and a communication module; and the software part comprises an application service platform, a database, an after-sales service platform, a product management platform and a mobile equipment client APP on the host. According to the intelligent transformer terminal and the monitoring method thereof, running parameters of the transformer are measured in a way of transmitting a physical parameter change and / or acquiring a power signal and displayed rapidly, and remote monitoring, operations and information feedback are realized by the mobile equipment client APP or a webpage through network transmission. When danger or important prompt information is detected, the information is pushed to the mobile equipment client APP or the webpage and after-sales service platform, so that a reliable and safe operating environment can be provided for an electric power system by the transformer.

The invention provides an audio processing device and system for far-field pickup and mobile charging, and the device comprises a Bluetooth module, a central processor, a waking-up module, a voice input module, a power module, a cellphone, an APP application, and a display screen. The power module is used for supplying power to the device, and the waking-up module wakes up the voice input module. The voice input module collects the external sound information, and the central processor carries out the noise reduction, reverberation removal, echo removal and voice enhancement of the sound information. The Bluetooth module enables the processed audio information to be transmitted to the cellphone, and the cellphone APP carries out the voice recognition of the audio information, and transmits a waking-up instruction to the waking-up module. The display screen displays the recognized text information in real time. The device provided by the invention achieves a purpose that a person with hearing impairment can clearly know the speaking content of a speaker through the text information displayed by the display screen, brings convenience to the person with the hearing impairment for conversation.

The invention discloses a composite type rotary encoder and a measurement method of the composite type rotary encoder. The composite type rotary encoder comprises an optical system, a circular coding ring, a rotating shaft, a data collecting module and a data processing unit. The optical system comprises a plurality of light source modules evenly distributed on the surface of the rotating shaft, the circular coding ring and the rotating shaft are coaxially installed, and a plurality of relative code ways and a plurality of absolute code way sets are sequentially arranged on the circular ring inner side face of the circular coding ring. The distances between photoelectric sensors of the relative code ways are equal, the distances between photoelectric sensors of a plurality of absolute code ways of each absolute code way set are equal, and the distances between the photoelectric sensors of the absolute code way sets are gradually increased according to position relations. The relative code ways and each absolute code way are independently connected with the data collecting module, and the data collecting module is connected with the data processing unit. The composite type rotary encoder and the measurement method of the composite type rotary encoder are capable of avoiding measurement errors caused by radial jumps, high in measurement precision, high in anti-interference capability and anti-pollution capability, high in reliability and capable of being widely applied to the field of measurement of rotating angles.

The invention discloses a multi-sensor multi-feature fusion recognition method for three-dimensional dynamic target recognition. The method includes the following steps that firstly, two-dimensional planarization is conducted on a recognition target, and a two-dimensional projected image library is established; secondly, images are grayed and binarized, Hu moment features and Zernike moment features are extracted, and an image feature moment information database is established; thirdly, two BP neural networks are respectively trained according to two kinds of image feature moment information; fourthly, target image sequences to be recognized acquired through different sensors are preprocessed, Hu moment features and Zernike moment features are extracted, and the two kinds of feature moment information is input to the two trained BP neural networks respectively, an elementary probability distribution function is acquired through calculation, time domain fusion and space domain fusion are conducted on acquired elementary probability assigned values based on a D-S evidence theory so that recognition result information can be acquired, decision making is conducted on the recognition result information according to a judgment rule, and finally target recognition result information is acquired. According to the multi-sensor multi-feature fusion recognition method, the target recognition correctness probability can be increased.

The invention provides a digital amplitude-integrated cerebral function monitor (CFM). The CFM comprises a signal acquisition system, a signal amplification system and a signal processing system, and signals are acquired by the signal acquisition system, amplified by the signal amplification system and further processed by the signal processing system, thereby obtaining an amplitude-integrated electroencephalogram (aEEG), wherein, the signal acquisition system is a single-lead or double-lead system; the signal amplification system comprises an isolation amplifier and a main amplifier; and the signal processing system comprises a CFM filter module, an amplitude-squeezing module and a peak detecting and smoothing module. The digital amplitude-integrated CFM provided by the invention has the advantages of low environmental requirements and high anti-interference and anti-drifting performance, and can achieve the continuous bedside detection on a real-time basis for a long time and reflect the changes in the cerebral function of patients on a timely basis.

The invention discloses a three-electrode integrated electrochemical sensor based on a microelectrode array. The sensor comprises the bismuth film modified microelectrode array (gold working electrode), a silver / silver chloride electrode (reference electrode) and a platinum electrode (counter electrode). The three electrodes are prepared through a standard MEMS technology, and multiple discs at equal intervals are evenly distributed on the gold electrode to serve as the microelectrode array. In the electrochemical detection process, heavy metal gathering and dissolving-out reacting occur on the microelectrode array, and the surface of the microelectrode array is modified with a bismuth film in order to increase the detection type of heavy metal and expand the detection range of the heavy metal. The surface of the silver electrode is electroplated with silver chloride to form the Ag / AgCl reference electrode. The platinum electrode serves as the counter electrode and forms an access with the working electrode. Difference pulse stripping voltammetry is utilized for determining the concentration of the heavy metal, and a result shows that the sensor is high in detection sensitivity, low in detection limit and high in signal-to-noise ratio; the sensor is easy and convenient to operate, needs a small quantity of samples, can be used for rapidly detection heavy metal on site and is capable of efficiently monitoring environmental pollution in real time.

The invention belongs to the technical field of high-resolution imaging in radar confrontation, and discloses a moving object ISAR imaging method based on random frequency modulation stepping waveform designing. The method comprises steps of firstly, designing an ISAR emission waveform based on random frequency modulation and pulse recurrence interval pre-designing; then, using matching filtering, dechirping or a compression sensing method to carry out sub-pulse compression processing so as to acquire a coarse resolution distance image sequence; constructing an equivalent measurement matrix and using the compression sensing method to carry out interpulse compression processing so as to obtain a high resolution distance image of the target; and after obtaining high resolution distance image sequences in different observation angles, carrying out azimuth processing through the compression sensing method so as to obtain a two-dimensional ISAR image of the target. According to the invention, effects on interpulse compression and synthesis of high resolution distance images imposed by moving of the target are effectively avoided; and the method is free from prior information of target moving parameters and is insensitive to the size of target speed, so when the data quantity required for imaging is reduced, the imaging quality is also improved.

A copper ion fluorescent probe and a preparation method and the use thereof relate to a fluorescence molecule probe, in particular to a copper ion fluorescence molecule probe and the preparation method and the application of the probe in the identification and detection of heavy metal. A copper ion fluorescence molecule probe with better effect which can test the heavy metallic copper ions in aqueous solution and the preparation method and the application are provided. Polyethyleneimine is allocated to be polyethyleneimine solution; the polyethyleneimine solution is taken out, filtered and poured into the lining of polytetrafluoroethylene which is sealed by a stainless steel cover; a solvent is distilled after reactions and the yellow viscous liquid-like copper ion fluorescent probe is gained. The copper ion fluorescent probe can be applied to the detection of the heavy metallic copper ions, in particular to the detection of the copper ions in biological tissues and environmental wastewater.

The invention discloses a hybrid dual-module network method based on wired and wireless. The method is applied to a dual-mode communication network in a wired network mode and a wireless network mode,the dual-mode communication network is of a tree-shaped network structure, the dual-mode communication network is of a tree-shaped network structure and comprises a plurality of nodes, the nodes comprise a master node and a plurality of access slave nodes, and the communication of the slave nodes and the master node supports the wired communication mode and the wireless communication mode. The wired and wireless hybrid dual-module network method provided by the invention has the characteristics of strong anti-interference and anti-noise capabilities, reliable and stable communication and thelike; the wired and wireless hybrid dual-module network method does not need additional wiring, is not blocked by buildings such as walls, is not influenced by shielding of the metal shell, and bettersolves the problems that the wireless network has coverage dead angles and communication blind spots cannot be covered by the wired network.

The invention relates to the field of radar signal processing, in particular to a digital signal processor and a digital signal processing method for a ship-navigation radar. By an 'FPGA (field programmable gate array) +DSP (digital signal processor)' structural style, high logic control capability of an FPGA and the high-speed signal processing capability of a DSP are adopted sufficiently. Compared with the traditional ship-navigation radar digital signal processor, the digital signal processor is high in processing capability, high in storage capability and high in expandability, and has a flexible interface; an Ethernet communication function is fulfilled, the radar digital signal processor can move to an upper unit of a ship radar by an Ethernet communication mode, after processing is finished, radar echo data are transmitted to a display terminal of a lower unit of the radar through an Ethernet, and the problems of signal attenuation and signal interferences when the traditional ship radar signal processor receives video signals in a long distance are solved effectively; and the existing ship navigation radar digital signal processing method is improved, the anti-interference capability and the clutter suppression capability are high, and a signal processing effect is high.

The invention discloses a parking space inducible system of an energy efficient parking lot, which can control the switching time of the parking space illuminators intelligently and effectively save the electric energy for illumination in the parking lot by about 50%. When no vehicles park at the parking space, the parking space illuminators switch off, and once vehicles enter the parking space, the illuminators can switch on automatically, thereby achieving the function of saving the energy and reducing the energy consumption. The parking space inducible system of the energy efficient parking lot is mainly used for the effective induction and management of the vehicles in the parking lot. The system can be convenient parkers to park the vehicles fast, and monitor the parking spaces, thereby leading the management of the parking spaces of the parking lot to be more standard and ordered, and enhancing the using ratio of the parking spaces. The ultrasonic detection technology is adopted for the detection of the parking spaces in the parking lot, which can detect the occupation or the idle of the parking spaces in the parking lot reliably. A management system collects all the detection information into the system in real time, and the system feeds the inducible information back to the display screen of each inducible parking space in real time through a parking space inducible controller. Meanwhile, a probe controller controls on / off of the illuminators according to the state information of the parking space, thereby achieving the function of energy saving.

The invention discloses an escaped prisoner recognition method based on a Kinect sensor. Human body skeleton information and facial feature information of prisoners are acquired through the Kinect sensor, and a prisoner feature information database is established; when existence of a human body within the monitoring range is detected, skeleton tracking is automatically performed, the human body skeleton information of the detected person is calculated by extracting human body joint information, based on which matching with the human body skeleton information in the prisoner feature information database is performed, and face recognition is performed if matching is successful; and prompting alarm is emitted if the face recognition result indicates that matching is successful. The escaped prisoner recognition method is different from the conventional escaped prisoner recognition systems, human body three-dimensional data are acquired by adopting the Kinect sensor, and escaped prisoner recognition is performed through integration of the skeleton information and the three-dimensional facial features so that precision and applicability of the conventional escaped prisoner recognition systems based on two-dimensional images can be enhanced.

The invention relates to a composite contactor which belongs to the field of electric switches, in particular to a contactor suitable for powering on and off a power capacitor. In the invention, an input power supply is subjected to current limit by a capacitor voltage drop circuit and rectification by a rectifying circuit and used for supplying power to a control coil of the contactor; the capacitor voltage drop circuit is connected with a starting electronic switch in parallel, the control end of the starting electronic switch is connected to a control circuit, and the control circuit is connected with a working power supply; a voltage zero passage detection circuit and a controllable silicon circuit are connected to two ends of a mechanical contact of the contactor in parallel; and the output end of the voltage zero passage detection circuit and one on control end of the controllable silicon circuit are connected to the control circuit, while the other on control end of the controllable silicon circuit is connected to a contact bridge of the contactor. The control coil of the composite contactor adopts a capacitor voltage drop direct current working manner, and the controllable silicon circuit adopts a design with multiple control ends, so that the composite contactor has the advantages of environmental protection, energy saving, strong anti-jamming, power on work, power on with voltage zero passage, power off with current zero passage, short controllable silicon on time, high reliability and long operation service life.

The invention provides a safe high-speed differential serial interface which comprises a transmitting end and a receiving end, wherein the transmitting end comprises a packing module, a chaos algorithm encryption module, a coding module, a parallel-serial conversion module and a differential signal output circuit; and the receiving end comprises an unpacking module, a chaos algorithm decryption module, a decoding module, a serial-parallel conversion module, a data and clock recovery module and a differential signal receiving circuit. In the invention, chaos algorithm is adopted to encrypt thetransmitted data, thus effectively ensuring the safety of the data in the transmitting process; extra clock signals do not need to be transmitted so as to lead the connecting wires in the chip and thechip-interlinking and system-in-package to be reduced, thus simplifying the connection; and the differential serial structure is adopted, thus improving the capabilities of resisting the interferenceand noise, effectively reducing EMI electromagnetic interference, and having the advantage of low power consumption.

The invention relates to an electricity power steady-state signal tracking measuring method based on a self-adapting filter. A group of self-adapting filters are designed according to a gradient descent method to produce a sample signal which can be automatically adjusted to fit the measured signals until the fitted difference is lower than the enacted scope, then the output of the self-adapting filters can accurately describe measured signals, thus the high-precision measurement and analysis of the electricity power steady-state signal can be achieved. The measuring method uses a closed loop calculating method which can analyze non-periodical sine wave sampling data caused by non-synchronous sampling and non-complete harmonic wave, etc., can judge and correct the distortion of the samples, and accurately and reliably realize the measurement of the steady state of the electricity power system. The measuring method is characterized by steady astringency, rapid convergence, precise testing, steady performance, good property of real time, strong anti-interference and robustness, and can be applied in different modes, such as the sampling way in a routine factory and gathered sampling in fixed frequency in a digital transformer substation.

The invention discloses a high-precision rotating encoder and a measuring method of the high-precision rotating encoder. The rotating encoder comprises an optical system, a round coding ring, a rotating shaft, a data collecting module and a DSP (digital signal processing) data processing unit, wherein the optical system comprises a plurality of light source modules uniformly distributed on the surface of the rotating shaft, the round coding ring and the rotating shaft are in coaxial arrangement, the round coding ring is provided with a plurality of opposite code ways on the inner side surface of the circular ring parallel to the axial line of the round coding ring, the gaps of photoelectric sensors of the opposite code ways are respectively identical, the round coding ring is also provided with a fixed zero position code way beside the opposite code ways, the fixed zero position code way consists of a photoelectric sensor, the fixed zero position code way and each opposite code way are respectively and independently connected with a data collecting module, and the data collecting module is connected with the DSP data processing unit. The high-precision rotating encoder and the measuring method of the high-precision rotating encoder have the advantages that measuring errors due to radial jumping can be avoided, the measuring precision is high, in addition, the anti-jamming and pollution-resistant capability is high, and higher reliability is realized. The high-precision rotating encoder and the measuring method can be widely applied to the field of rotating angle measurement.

The present invention relates to a fuzzy clustering analysis-based power distribution network fault line selection method. According to the method, the ratio of the variation quantity of the active component of the zero-sequence current of each outgoing line of a power distribution network to the total variation quantity of the active component of the zero-sequence current of the outgoing lines of the power distribution network is calculated; the simulation model of the actual operation of the power distribution network is constructed; and a fault line is determined through using a clustering analysis method. When a single-phase grounding fault occurs on the arc suppression coil grounding system of a neutral point, fault characteristics are not obvious; the grounding mode of the neutral point in the power distribution network is changed, fault signals are amplified, and therefore, line selection accuracy can be improved; a bus-bar potential transformer PT and a current transformer CT are adopted to measure the zero-sequence voltage of a bus-bar and the zero-sequence current of the outgoing lines before and after a resistor is switched; the variation quantity of the active component of the zero-sequence current of each outgoing line of lines is monitored; errors brought by measurement devices such as the current transformer CT of the line can be offset; and high anti-interference performance can be realized.