341results about How to "Overcome error" patented technology

The invention discloses a line polling management system, which comprises an acquisition module (301), a polling locus analysis module (303) and a polling evaluation analysis module (304), wherein the acquisition module (301) is sued for acquiring polling information in a polled line, and the polling information at least comprises longitude and latitude information; the polling locus analysis module (303) is used for dividing a pre-generated line map into a plurality of grids, generating a polling locus according to the polling information acquired by the acquisition module (301), matching the polling locus and the grids and determining a candidate line to be analyzed; and the polling evaluation analysis module (304) is sued for calculating the distance between the polling locus point and the evaluation point of the candidate line and determining that the polling locus point covers the evaluation point if the distance is smaller than the preset threshold value. The invention also discloses a line polling management method. According to the scheme, the system and the method can greatly simplify the operation of polling personnel, can adapt to various environment conditions, have low cost, and are easy to popularize.

The invention discloses an aircraft-mounted multi-navigation-source comprehensive navigation simulation system. In the system, each navigation simulation sub system really simulates functions, performances and interfaces which are same as those of a model according to a self-navigation principle. A scheduling system responds a display control command, a load command and load data information sent by a mission system, and drives the navigation simulation sub systems to perform simulation calculation with combination of environment simulation data. A combined navigation system, with an INS simulation sub system as a main navigation source, performs integrated navigation based on and fault detection federated Kalman filter with GNSS, TACAN and IFDL as auxiliary navigation sources. Information fusion is achieved through a generalized federated Kalman filter in a two-stage structure constructed through a federated filter algorithm, wherein a main filter performs total information fusion and performs information distribution and information reset to each sub filter. Optimal estimation is carried out to a result of each sub filter through a dynamic information distribution coefficient. Meanwhile, the INS simulation sub system is subjected to closed-loop negative feedback correction through an estimated error by the system.

An accurate calibration method of micro inertia measuring unit by decoupling erection error angle (EEA)with scale factor includes setting up MIMU integral error model and separating couple between EEA of accelerometer and gyroscope and scale factor ,using position error canceling method to calculate out and to separate out scale factor and EEA of accelerometer as well as using least square method and iteration method to calculate out EEA of gyroscope and its relative error items in 10 position static calibration test and in 3 direction positive and negative rate test ,then using interpolation method to calculate out scale factor of gyroscope .

The invention discloses a method and system for estimating SOC (State-of-Charge) of a power battery based on dynamic parameters. The method comprises the following steps: carrying out a discharge-standing experiment on the battery, obtaining OCV (Open Circuit Voltage)-SOC characteristic curves of the battery at different temperatures, and fitting out an OCV-SOC relational expression; carrying out a constant current pulse discharge-standing experiment on the battery, recording voltage response during the experiment, and identifying the initial value of the parameter of a battery second-order RC equivalent circuit model by an offline method; carrying out dynamic parameter identification on the second-order RC equivalent circuit model by using a forgetting factor-containing recursive least squares method RRFLS; carrying out online estimation on the SOC of the battery by using an EKF (Extended Kalman Filter) algorithm. The estimation method overcomes the defects of inaccuracy and cumulative error of the initial value of SOC in an ampere-hour integral method, and adapts to the dynamic change of battery characteristics, the battery model is high in precision and convergence speed, and is stable and reliable, and the precision of SOC online estimation is improved. The method and system can be widely used in fields of electric vehicles and energy storage battery management systems.

The present invention discloses an SOC (state of charge) estimation method. According to the method, a battery OCV-SOC relationship module, a parameter acquisition module, an offline identification parameter value, a parameter discrete state space model, a battery parameter online identification module, a battery dynamic parameter update module and a battery SOC estimation module. The method includes the following specific steps that: 1, a discharge-standing experiment is performed, an OCV-SOC relationship expression is obtained through fitting, parameter values in an equivalent circuit model are identified; 2, a battery second-order RC system discrete state space model is established, and the battery model parameters are identified online and dynamically updated; and 3, the SOC of a battery is estimated online. With the method of the invention adopted, the defects of inaccuracy and accumulative error of the initial value of the SOC of a battery of in an ampere-hour integration method can be eliminated. The method is applicable to the dynamic change of the characteristics of the battery, can improve the accuracy of SOC online estimation and can be widely applied to the electric vehicles and storage battery management system field. The method has the advantages of high battery model precision, fast convergence, high stability and high reliability.

The invention provides a full-screen color correction method for an LED display and an implementation system thereof, wherein the system comprises a correcting computer, a camera, an optical tester, an integrating sphere, a display control computer, an LED controller and a scanning control panel, wherein the camera and the optical tester respectively carry out parameter sampling on the partitions and full screen of the LED display, and after correction of brightness and chromaticity on the pixel level and the module level of the partitions and the full screen on the correcting computer, the corrected data are transmitted to the scanning control panel of the LED display and stored. The full-screen color correction method and the implementation system thereof of the invention realize full-screen color correction of the LED display, and overcome the defect that after LED modules are corrected one by one by a conventional discrete correction method, when the time, environment and operation are inconsistent, individual LED modules have brightness or chromatic aberration observable by naked eyes, thereby improving the correction quality and correction efficiency.

The invention relates to an installing method for a main pipeline of a coolant system of a nuclear power station, which is characterized in that the main pipeline of the coolant system of a reactor of the pressurized water reactor nuclear power station comprises a cool section (41) and a hot section (42), and a steam generator is directly connected with a main pump. According to the invention, the problem that the main pipeline is installed and welded by only a pressure container or steam generator in place by adopting the installing method of the main pipeline without a transition section issolved, and technical limit that the main pipeline is installed after the pressure container is in place and the steam generator or main pump is in place in the traditional main pipeline constructiontechnology is eliminated. A main pipeline groove is processed by adopting a site numerical control machining technology, the main pipeline and equipment connected with the main pipeline are subjectedto measurement, modeling and process monitoring by adopting a laser tracking measuring and 3D modeling technology, the main pipeline is regulated to meet the assembly welding requirement and is installed by using a narrow TIG (argon tungsten-arc welding) automatic welding technology, thus a feasible method is provided for shortening the construction period of the nuclear power station.

The invention relates to a washing machine and a method for weighing clothes of the washing machine. The method comprises the following steps: controlling the running state of a direct current motor by using a main control panel of the washing machine; calculating the average output power P of the direct current motor according to the armature current which is detected and filtered by a current detection circuit and the actual motor rotating speed which is detected and filtered by a rotating speed detection circuit; and calculating to obtain the weight of clothes, calculating the washing time, the washing dynamics, the using amount of washing water and the water inlet time according to the obtained clothes weight, and washing according to the calculated parameters. The corresponding relationship between the washing machine and the clothes weight is established by calculating the average output power P of the direct current motor, so that the clothes can be weighed more accurately. The invention can realize the function of accurately weighing the clothes and improves the performance of the washing machine.

The invention discloses a method based on generalized GPS data for determining passenger-waiting station alternative addresses of taxis. The method includes firstly, obtaining the pickup position GPS data and call service data of the taxis by collecting and preprocessing the generalized GPS data of the taxis; secondly, clustering the pickup position GPS data of the taxis according to different traffic service regions, taking cluster centers as initial alternative station addresses and achieving the visualization of the initial alternative station addresses; thirdly, determining frequently-used call service positions according to the call service data and achieving the visualization of the frequently-used call service positions; and lastly, selecting the focuses of all the call service positions within the service ranges of the initial alternative station addresses as the passenger-waiting station alternative addresses of the taxis. Compared with an existing method for determining the passenger-waiting station alternative addresses of the taxis, the method based on the generalized GPS data for determining the passenger-waiting station alternative addresses of the taxis has the advantages of manpower and material resource saving, good persistency and good combination with the development tendency of the industry.

The invention relates to a method for judging the failure properties of shielding failure and counterattack of a transmission line. In the method, a computer is adopted to collect and process data; and for a certain lightning tripping failure of the transmission line, a lightning protection simulation analysis program is adopted and the collected and processed data is applied by the analysis of the computer to perform simulation reduction and comparison analysis on a circuit-failing tower with the lightning tripping to obtain a judgment result based on the data of the transmission line provided by a running unit, circuit tripping failure data and the lightning activity information of a line corridor obtained by the query of a lightning positioning system. The method comprises the following basic steps of: (1) performing collection and clearing-up on the data of the transmission line and the circuit tripping failure data by adopting the computer; (2) querying the lightning activity information in the corridor of the failing tower by utilizing the lightning positioning system; (3) analyzing the lightning protection performance of the failing tower by the computer by utilizing the lightning protection simulation analysis program; and (4) checking the lightning protection performance and judging the failure property. The method is simple, convenient and easy to operate and convenient to popularize and apply, and ensures low cost.

The invention provides an alternating tidal current computing method and device for a light high-voltage direct current transmission system; the alternating tidal current computing method comprises the following steps of: dividing the whole system into two parts of an alternating current subsystem and a direct current subsystem by using a busbar of an alternating current system as a dividing line, wherein the alternating current system is connected with a converter station; treating the converter station of the alternating current subsystem as an equivalent PQ or PV node on an alternating current node when the variable quantity of the operational state of the alternating current subsystem is solved; and modeling an alternating system as a constant voltage applied on the bus of the converter when an equation set of a direct current system is solved. The alternating tidal current computing device for the light high-voltage direct current transmission system comprises a data acquisition unit, a data transmitting unit and a data processing unit. The invention has the advantages of being simple and easy in implementation, being good in procedure generality, overcoming the disadvantages of bad timeliness, high error rate and the like and increasing the computation speed and correctness. The device adopts a double-port RAM (Random Access Memory) circuit so as to solve the problem of low data transmission speed; and a set of spare double-port RAM (Random Access Memory) is added for ensuring the correctness and reliability of the system operation.

The invention relates to the battery electrical testing technology, especially relates to a battery charge state estimation method based on AEKF and an estimation system. Battery SOC can be estimated by adopting the self-adaption expansion Kalman filtering algorithm, and the parameter self-adaption adjusting way of the Kalman filtering algorithm can be changed by additionally providing the weighting coefficient based on the forgetting factor, and then the influence of the parameter initial value setting on the whole algorithm is small, and the phenomena of the inaccurate battery SOC initial value calculated by adopting the original ampere-hour integral method and the accumulated error can be overcome, and in addition, the battery SOC can be estimated accurately and reliable. The battery charge state estimation method and the estimation system are advantageous in that the convergence performance is good, the convergence speed is fast, the algorithm transplantability is good, and the use stable and reliable; the estimation method and the estimation system can be used for the electric vehicle battery management field, and can be used for the SOC estimation of the electric vehicle storage battery, and therefore the endurance mileage of the electric vehicle can be calculated accurately, the control of the driver over the vehicle can be facilitated; the estimation method and the estimation system are more suitable for the electric vehicle environment having the strong current fluctuation.

The invention discloses a signal source positioning method based on a BFGS quasi-Newton method and mainly aims to solve the problems that median error is introduced in an existing positioning method, positioning results are fuzzy, practicality is not strong, calculation amount is large, positioning results are not stable and the like. The signal source positioning method based on the BFGS quasi-Newton method comprises the following steps of obtaining a measured value reaching time difference and a measured value reaching gain ratio; setting joint positioning error equations through the relationship that the measured valve minus measured error is a real value; obtaining solution of the positioning error equations through the BFGS quasi-Newton method; and obtaining position coordinate values of a target source through the fact that the solution of the positioning error equations plus position coordinate values of a reference monitor node. According to the signal source positioning method based on the BFGS quasi-Newton method, stable and high precision positioning is achieved. The signal source positioning method based on the BFGS quasi-Newton method is suitable for the environment with low signal-noise rate and strong in practicability.

The invention discloses a dynamic measuring method of guide rail straightness, belongs to the methods that are related to the technical field of photoelectric measurement, aims at solving the technical problem of providing a method that dynamically measures guide rail straightness, and adopts the following technical proposal: (1) an optical measuring table is prepared; (2) a component to be measured is placed on the left half part of the table, and a linear motion actuator component drives a plane mirror that is arranged on a mirror shelf to move along a guide rail synchronously with a slide block; (3) an autocollimator is placed on the right side of the component to be measured and is butt-jointed with the component to be measured, the plane mirror reflects parallel light that is emitted from the autocollimator into the view field of a light tube ocular glass; (4) a signal receiving and data processing system is placed on the right side of the autocollimator, and the focal plane of the light tube ocular glass is led to be coincided with the receiving plane of a CCD receiver; (5) the linear motion actuator component drives the slide block and the plane mirror to move in a measuring range along the guide rail, and a microprocessor is used for determining the change of the relative displacement of a reticle that is reflected by the plane mirror, thus realizing the measurement of guide rail straightness.

A fault diagnosis method of a vehicle lithium battery based on a multi-class support vector machine algorithm belongs to the field of vehicle lithium battery fault diagnosis. In order to solve the problem that the existing vehicle lithium battery fault diagnosis technology requires high amount of training data, which leads to the difficulty of realizing real-time on-line fault detection, the method of the invention comprises the following steps of: grouping battery samples into experiments, and sorting the collected data to form a training set and a test set; specifying battery failure criteria; using cross-validation and network search methods to optimize the parameters; constructing a kernel function support vector machine; constructing as biased binary tree five-class support vector machine to get the fault diagnosis model of vehicle lithium battery which can identify different states of lithium battery. The method can quickly and accurately complete the fault diagnosis of a lithiumbattery for a vehicle.

The invention discloses a wall painting information extraction method based on hyperspectral imaging. The method comprises the following steps of: 1, acquiring original hyperspectral image information of a wall painting in a preset region; and 2, extracting draft information of the wall painting, pigment information of the wall painting and disease information of the wall painting according to the original hyperspectral image information. According to the wall painting information extraction method based on the hyperspectral imaging, the wall painting information is extracted and analyzed according to the advantages of a hyperspectral technology, so that the shortcomings of large working amount, large error, multiple manmade factors and the like of the conventional wall painting information investigation and analysis method are overcome; the wall painting information extraction method has the characteristics of quickness and effectiveness; the shortcoming of insufficient spectral information in dispersion wave band in a multi-spectrum technology is overcome; and the wall painting information extraction method has the advantages of spectrum continuity and rich data and is favorable for quick, effective and scientific analysis of wall painting information, so that instruction and basis are supplied to deep research and protective repair on the wall painting information.

The invention discloses a self-adaption strong tracking unscented kalman filter (UKF) positioning filter algorithm based on fuzzy logic. The self-adaption strong tracking UKF positioning filter algorithm comprises the steps that: (1) a positioning filter model is built; (2) initial parameters of a filter are set; (3) the state quantity is subjected to filtering by adopting the UKF filter algorithm; (4) a fuzzy logic system is used for solving softening factors in the self-adaption tracking algorithm; (5) the self-adaption factors in the strong tracking self-adaption algorithm are solved; and (6) the epoch moment is increased by 1, the next moment observation is read, and the operation returns to the step (4) until the operation is completed. The strong tracking self-adaption algorithm in introduced on the basis of the UKF filter algorithm, in addition, a novel recursive algorithm is adopted in the strong tracking self-adaption algorithm for estimating the information covariance matrix, and the softening factors in the strong tracking algorithm are solved through a fuzzy logic reasoning system and are estimated in real time according to the work state of an epoch moment filter. The estimation is carried out in satellite navigation user receiver position estimation, and the positioning performance and the capability of carriers adapting to the dynamics can be greatly improved.

The invention relates to a longitudinal on-line locus designing and tracking method for a reentry initial segment analytic expression. Defects of an existing LQR tracking technology are overcome, and according to kinematics and kinetics characteristics of a high-speed reentry vehicle flying in rarefied flows, an analytic expression on-line locus which is high in adaptive ability for initial shift deviation is obtained on the basis of the hypothesis that speed changes have little influence on kinematics in the rarefied flows by appropriately simplifying and deducing a motion equation of the reentry vehicle. Moreover, on the basis of the optimal control theory, the analytic expression on-line locus is subjected to tracking law design, environmental errors and modeling errors are overcome, and terminal guidance accuracy is improved.

The invention discloses a space positioning system comprising at least three beacons and at least one positioning terminal. The beacons are distributed in to-be-localized space and are used for generating low-frequency electromagnetic fields. Each positioning terminal receives low-frequency electromagnetic fields generated by the multiple beacons and calculates a spatial position of the positioning terminal according to the received low-frequency electromagnetic fields generated by the at least three beacons. Meanwhile, the invention also discloses a space positioning method. Therefore, defects of high implementation complexity, high deployment cost, large positioning error, and delayed positioning information updating of the existing positioning scheme can be overcome effectively. On the basis of the low-cost scheme, the indoor large-range precise real-time tracking can be realized; the environment requirement is loose and no metal and magnetic interference exists; and applicability of the space positioning scheme in different environment scenes can be improved obviously.

The invention provides an interferometer array integrated correction method. The method includes the steps of firstly, parameterizing a target signal initial incidence direction, a processing and installing comprehensive error and a feeder line passageway comprehensive error; secondly, obtaining a measuring equation set according to a known track rotation antenna array, and obtaining error parameters and incidence signal directions through parameter estimation; thirdly, modifying the error parameters into an interference angle measurement formula to obtain a precisely-corrected angle through the iteration technology. By means of the method, the incidence signal directions do not need to be accurately calibrated, the basic known quantities of the method are the rotation angle and the phase difference measurement value, the interferometer array processing and installing comprehensive error and the feeder line passageway comprehensive error can be obtained at the same time through parameter estimation, the problem that the direction error and the pitching error are coupled can be solved through the iteration technology when the angle measurement error correction is executed, and finally the precisely-corrected angle is obtained. The interferometer array integrated correction method is accurate in error model, simple in execution process, high in correction precision and capable of improving the correction efficiency and the angle measurement accuracy of an interferometer.

The invention discloses a multi-harmonic-source harmonic contribution quantitative analysis method based on a total-least square method. The multi-harmonic-source harmonic contribution quantitative analysis method includes: selecting harmonic voltage as the index for evaluating harmonic contribution, and determining the joint action of the harmonic source of each node; sectioning measured data according to time, and calculating the harmonic contribution in each time section according to the projection of the harmonic voltage of one harmonic source at one node on the total harmonic voltage at the node; using the total-least square method to solve harmonic impedance and the harmonic voltage, namely background harmonic voltage, of other harmonic sources at the node, and using a singular value decomposition method to obtain the solution of the total-least square method to obtain the quantitative data of each harmonic source at each node at each harmonic time. The multi-harmonic-source harmonic contribution quantitative analysis method has the advantages that the total-least square method is applied to the harmonic quantitative analysis field, the defect that a traditional method only considers variable harmonic voltage measuring errors and does not consider the independent variable harmonic current measuring errors is overcome, and obtained results are accurate.

Disclosed in the invention is a high-precision three-dimensional chemical shift imaging method. A water image and a fat image that are separated from each other and in-phase graphs and anti-phase graphs of the water image and the fat image can be obtained by scanning once by using a three-dimensional single excited long echo string collection way, a radio frequency refocusing pulse string or frequency coding gradient technology, a pre scanning scheme having an echo amplitude and phase error precision correction feature, and a data post processing method. The method has the low requirements on magnetic field uniformity and gradient system performances; and the image quality and the diagnosis value can be improved obviously.

The invention relates to a cascade long-period pohotonic crystal fiber grating temperature sensor. A photonic crystal fiber is provided with a cladding consisting of periodically arrayed air holes; the cladding and a fiber core of the fiber are made of SiO2; a long-period grating with a certain period is written onto the fiber; the air holes of the cladding are filled with thermosensitive substances sensitive to temperature; the refractive indexes of the thermosensitive substances are less than the refractive index of the fiber core; and the total internal reflection photonic crystal fiber is formed. The effective refractive index of a coupled mode of the grating can be changed by controlling the temperatures of the thermosensitive substances, so that the resonant wavelength of a transmission spectrum of the grating is changed, the temperature variation is shown as spectral shift, and the wavelength-tunable temperature sensor is realized. As the bandwidth of the transmission spectrum of the single long-period grating is greater, the temperature sensitivity and the measurement precision of the transmission spectrum of the long-period grating are limited, and the sensor is transformed into a cascade long-period grating structure. The sensor achieves the tunable wavelength, the sensitivity is improved, and the sensor has a very large application prospect in the transduction field.

The invention discloses a transfer learning-based hyperspectral image super-resolution method, which mainly solves the problem that a deep neural network cannot be trained due to excessively less training data of an original hyperspectral image, improves spatial identification of the hyperspectral image, and solves the problem of spatial resolution limitation of the hyperspectral image. The method mainly comprises the steps of (1) training a convolutional neural network in a natural image database, and learning a mapping relationship between a low-resolution image to a high-resolution image; (2) on a tested hyperspectral image, generating the corresponding high-resolution image waveband by waveband according to the learnt deep neural network; (3) establishing co-matrix decomposition and performing same ground object restriction on the low-high-resolution images; and (4) reconstructing a super-resolution hyperspectral image. According to the method, spectral information of the super-resolution image is kept to the maximum extent; and the method can be used in the fields of remote sensing ground object observation, military reconnaissance, assistance in criminal investigation and the like.

The invention relates to a method and device which achieves skin moisture measurement with the help of bioelectrical impedance spectroscopy, in particular to a method and device for the skin moisture measurement. According to the method and device for the skin moisture measurement, electrical impedance values of the skin on multiple frequency points are measured through electrodes contacted with the skin of the human body, measurement results are converted into a complex impedance spectroscopy curve graph, and the complex impedance spectroscopy curve graph is displayed on a display screen of an instrument. According to the smooth condition of an impedance spectroscopy curve, kernel parameters are given out, and corresponding skin moisture content is calculated according to the kernel parameters. The method can simultaneously provide the electrical impedance spectroscopy curve and the skin moisture content obtained through calculation for users. According to the method and device for the skin moisture measurement, the measurement range of the skin moisture content is made to be expanded to the condition that the skin is quite dry, and given results are more visual and more dependable.

The invention relates to a rice field-upland field rotation rice soil gas in-situ acquisition system and an acquisition method thereof, which belongs to the field of the gas acquisition technology and is specially used for the in-situ acquisition of the soil gas in the rice soil section plane under the condition of the rice field-upland field rotation. The invention comprises that: PVC pipes with the 40 mm inside diameter are chosen; total eight pores are uniformly distributed on the exchange interface of the pipe wall at the bottom of every gas cavity; all gas cavities are separated with PVC sheets which are perforated and allow a nylon tube gathering gas to pass through. A nylon slim tube passes through the upper part of the PVC sheets and is connected to a triple valve with a silicone tube. The acquisition method comprises detection of air tightness, installation, pre-equilibration and the system keeps airtight state; when in observation, a syringe directly gathers the needed voluminal gas. The invention can be used for gathering soil gas in the inundation state or in the drainage state, can gather in-situ gas with different section plane depth on the same locus, has easy operation and easily available materials, can be wildly applied to the rice field and wetland soil gas acquisition, and overcomes various kinds of defects in the prior art.

The invention discloses an underwater positioning method based on ranging and a neural network algorithm. The method comprises the steps that K anchor nodes and N to-be-positioned nodes are arranged in positioning water; the distance between each to-be-positioned node and K anchor nodes is measured; and positioning is carried out for two stages of offline training and online positioning. The stage of offline training comprises the steps that the distance between the n-th to-be-positioned node and all anchor nodes is measured to form a distance vector, and the distance vector is input into a three-layer nerve network which comprises a neural network input layer, a neural network hidden layer and a neural network output layer; prediction model parameters are updated through algorithm iteration; and neural network model parameters are output. The stage of online positioning comprises the steps that the current distance between the n-th to-be-positioned node and all anchor nodes is measured to form a distance vector; the distance vector is input to the neural network model parameters acquired in the stage of offline training; and the position coordinates of the to-be-positioned nodes are output to reduce ranging errors.

The invention provides a hybrid variation bioelectrical impedance imaging method, relating to the measurement on the conductivity of the pleural cavity of the body. According to the method, the potential spatial distribution condition is simulated by adopting a finite element method, a numerical model of the bioelectrical impedance imaging technology is established, a numerical model with large size is dispersed into small units, certain boundary conditions are applied and boundary voltage is calculated, a two-dimensional thoracic cavity numerical model and a three-dimensional thoracic cavity numerical model are respectively established, after the objective function of the hybrid variation algorithm is determined, the inverse problem solving is carried out by adopting the steepest descent method, the electrical impedance image reconstruction of the thoracic cavity is carried out, so that the resolution ratio of the reconstructed image is improved, therefore, the problems in the existing bioelectrical impedance imaging technology, the influences of noises and errors exist during the process of reestablishing the image with high resolution ratio, consequently, the excessive smooth and staircase effect are caused, and the accurate electrical impedance reconstructed image of the lung can not be obtained are solved.

The invention provides a mine dust concentration measuring device which comprises a sensitive element, a control circuit module and an upper computer. The sensitive element comprises inductive type metal electrodes, the control circuit module comprises a measuring circuit, a signal conditioning circuit, an A / D switching circuit and a microprocessor, the sensitive element generates micro electric charge signals on the metal electrodes, the micro electric charge signals are processed through the measuring circuit, the signal conditioning circuit, the A / D switching circuit and the microprocessor in real time and then are transmitted to the upper computer, and the upper computer carries out information preprocessing and feature extraction, sets up a soft measurement model, and then outputs dust concentration measuring signals. The invention further provides a dust concentration measuring method. The mine dust concentration measuring device and the measuring method thereof have the advantages that the defects that measuring errors are large, influences of humidity are obvious, the service life is short and maintenance is inconvenient in an existing mine dust concentration measuring method are overcome effectively, accurate measurement data for coal mine improvement are provided, the borehole operation environment is improved, and the physical health of workers and the safety production of coal mines are protected.

The invention disclose a mechanical processing positioning device, which comprises a base (1), an adjusting support assembly and an adjustable clamping mechanism, wherein the adjusting support assembly comprises a cylindrical taper pin (5), a compression spring A (6) and a screw plug (7), the cylindrical taper pin (5) is arranged in an inner cavity (2), the adjustable clamping mechanism comprises an adjusting screw rod (10), a press plate (11) and a compression spring B (12), the press plate (11) and the compression spring B (12) are sheathed outside the adjusting screw rod (10), and the adjusting screw rod (10) penetrates through a through hole (3) arranged on the base (1) and is fixed by a locking screw bolt (16). The mechanical processing positioning device has the beneficial effects that the diameter of the large end of a cone front part (8) is greater than the diameter of a blank hole, the wider positioning range is realized, the cylindrical taper pin (5) is tightly matched with the blank hole by the adjusting support assembly via the extension and retraction of the compression spring A (6), the influence of size and roundness errors of the blank hole can be overcome, the matching clearance is eliminated, and the positioning error is greatly reduced.