578results about How to "Avoid detection errors" patented technology

The invention relates to an infrared photoacoustic spectroscopy detection device and method for decomposed components of sulfur hexafluoride under partial discharge, belonging to the technical field of partial discharge on-line monitoring of SF6 gas insulating electrical equipment. The device of the invention mainly comprises an induction voltage regulator, a corona free experimental transformer, a partial discharge free protective resistor, a standard capacitive voltage divider, a non-inductive resistor, a GIS analog element, a wide-frequency high-speed ultrahigh-capacity digital storage oscillograph and an infrared photoacoustic spectroscopy system. In the method of the invention, infrared photoacoustic spectroscopy detection is carried out on the decomposed gas of SF6 under partial discharge in the GIS analog element by the device of the invention. The invention has high sensitivity, little gas consumption, multiple detection components and strong anti-jamming capability, can effectively detect SF6, CF4, SO2F2, SOF2, SO2, HF and the like as low as 0.01 muL / L, and is suitable for on-line detection. The invention can be widely used for detection of partial discharge decomposed gas of SF6 in the SF6 gas insulating electrical equipment, especially the GIS equipment.

The invention relates to a smoke gas on-line monitoring system and a smoke gas on-line monitoring method, and aims at providing the smoke gas monitoring system and the monitoring method which have the advantages of being simple in structure, high in automation degree and accurate in monitoring. The system comprises a pitot pitometer, a smoke gas sampler, a particulate matter monitor, sampling pipelines and demarcating pipelines, wherein the pitot pitometer, the smoke gas sampler and the particulate matter monitor are all provided with anti-purging devices, signal receiving terminals of all the anti-purging devices are respectively connected with a central controller, and all the anti-purging devices are controlled by the central controller to regularly purge. Smoke gas collected by the smoke gas sampler successively passes through a first refrigerator, a gas filter, a second refrigerator and a membrane type filter, the collected smoke gas is cooled and filtered by the first refrigerator, the gas filter, the second refrigerator and the membrane type filter, and the rest smoke gas finally obtained is fed into a multicomponent gas analysis instrument to be analyzed and detected. For the system, whole calibrated pipelines and partial calibrated pipelines are also arranged, so that the analysis instrument in a line can be wholly calibrated and partially calibrated.

Lens position calculating means (13) is provided for determining the phase of a drive signal of driving means (9) as a reference position of the taking lens when the output value of a position detection sensor (8) reaches a threshold. The lens position calculating means (13) determines the position by addition / subtraction to / from the reference position read out of reference position storage means (14) as a judgment position, detects the output value of the position detection sensor (8) at the judgment position at the timing synchronous with the drive signal, judges the output value of the position detection sensor (8) at the judgment position, and again determines the reference position.

The embodiment of the invention discloses a method and system for detecting lithium metal separation of a lithium ion battery. The method comprises: charging testing is carried out on a lithium ion battery and voltage and capacity data of the lithium ion battery during the charging testing are collected; differential processing is carried out on the voltage and capacity data to obtain a dV / dQ curve; and according to the dV / dQ curve, the lithium metal separation state inside the lithium ion battery is determined. According to the invention, the data are processed and analyzed and thus the negative lithium metal separation of the lithium ion battery is detected accurately, so that a detection error caused by the human subjectivity is avoided and the influence on safety of the battery by thenegative lithium metal separation is eliminated and thus the service life and the safety of the lithium ion battery are improved. Moreover, the method and system are operated simply, conveniently, andefficiently; and the detection precision is high.

The invention discloses a pointer instrument positioning and identifying method based on machine vision. The position of an instrument panel in an instrument cabinet image is accurately positioned andan instrument reading is automatically recognized. The method comprises the steps of (1) acquiring the instrument cabinet image; (2) carrying out segmentation processing on the instrument cabinet image to obtain an instrument panel image; (3) preprocessing the instrument panel image; (4) acquiring all edge contours in the instrument panel image by using a Canny edge detection method; (5) findingall linear contours in the obtained edge contours by using Hough transform; (6) screening out the linear contours where a pointer in the instrument panel is located through length characteristics of the linear contours; (7) calculating an average value theta of an inclination angle between the two linear contours where the pointer is located; and (8) calculating out a pointer reading according toa linear relation between the linear inclination angle and an instrument scale. By the adoption of a positioning and detecting technology, the method has the characteristics of accurate positioning and reading, good anti-noise performance and efficient and rapid image processing.

The invention relates to an on-line quality detection system of motion belt material, comprising a parallel image sensor group constituted by at least two high-resolution linear CCD, a set of image transmission and process systems composed of a push-in local area network constituted by at least two DSP and a lighting system suitable for motion belt material. A high-speed CCD signal digital multiple circuit, an automatic control circuit of CCD sampling frequency based on the motion belt material speed, a data communication interface circuit between the CCD and DSP are built, then the real-time acquisition of the motion belt material image is realized without an image acquisition card and at the same time the strong image processing function of TMS320C6416 is applied on the image processing for the quality detection the motion belt material thus the collected image does not deform. The system is especially suitable for on-line quality detection of the motion belt material such as plastic film, textile fabric, paper or the like.

The invention discloses an LncRNA combination for detecting a prognosis condition of stomach cancer and a kit containing the combination. According to the invention, a fluorescent quantitation PCR or digital PCR technique is adopted to identify the difference change of a set of specific LncRNA expression quantity in a stomach cancer patient sample (tissue, plasma, serum, gastric juice, and the like) and a corresponding paracancerous sample or normal sample and to early and accurately evaluate the risk of stomach cancer relapse or transfer. The kit disclosed by the invention provides a biomarker LncRNA combination for detecting the prognosis condition of stomach cancer, a primer for detecting the LncRNA contained in the combination and a related reagent, so that the kit is capable of effectively increasing the detection efficiency and accuracy for the stomach cancer prognosis relapse or transfer. The invention adopts a set of prognosis transfer related LncRNA combination for avoiding the defect of great increasing of the fault diagnosis rate and missed diagnosis rate of the stomach cancer diagnosis caused by lower sensitivity and specificity resulted from a detection index LncRNA served as a tumor marker kit.

The invention discloses a correction method of a magnetic resonance system. The magnetic resonance system comprises an RF transmitting module, a gradient module and an RF receiving module. The correction method comprises the steps of executing a first pulse sequence, acquiring a first set of echo signals and acquiring a frequency domain phase of the first set of echo signals, wherein the first pulse sequence is a spin echo sequence; executing a second pulse sequence, acquiring a second set of echo signals and acquiring the frequency domain phase of the second set of the echo signals, wherein the second pulse sequence is a non-selective layer spin echo sequence; acquiring a system relative time delay according to the frequency domain phases of the first set of echo signals and the second set of echo signals, wherein the system relative time delay comprises a relative time delay between the RF transmitting module and the gradient module and a relative time delay between the RF receiving module and the gradient module; and performing compensation on the magnetic resonance system according to the system relative time delay. According to the correction method and the correction device, the relative time delay of the magnetic resonance system can be accurately acquired through phase operation on the echo signal. Furthermore the invention provides a correction device of the magnetic resonance system.

The invention discloses a turbidity sensor and a water body turbidity on-line detection method. The turbidity sensor is of a special structure; the phenomena that the turbidity detection accuracy is influenced by attaching pollutants in a water body on a transmitting lens is possibly avoided; the condensation water mist on the transmitting lens is prevented by virtue of heating so as to eliminate the influence of the mist of the transmitting lens on detection; scattered light of the water body is acquired by an annular photovoltaic conversion device in 360 degrees, so that the effective received quantity of the scattered light is increased to the maximum extent; and the signal of an operation amplifying device is not needed to be amplified to guarantee the stability and reliability of the turbidity sensor. By utilizing the water body turbidity on-line detection method of the turbidity sensor, output voltage values, acquired for many times of a photovoltaic conversion device, are used and a processing mode that the average value is taken is adopted; modes of heating and light control are combined during the detection process every time, so that the detection error caused by the mist of the transmitting lens and the unstable light sources is eliminated, and the turbidity detection accuracy is further guaranteed.

The invention provides an infrared weak small target detection method based on background suppression and multi-scale local entropy. Firstly, the infrared image is normalized. Secondly, the infrared image is filtered by steering filter, and the background suppressed image is obtained after the difference. Then, by calculating the multi-scale local entropy weight map, the maximum of the local entropy salience map of different scales is obtained for the same pixel position, and the final local entropy weight map is obtained. Then, the background suppressed image is multiplied with the local entropy saliency map to obtain the saliency map of the infrared small target. Finally, the salient image is filtered by Susan filter, and the isolated bright spots are removed. The non-zero region of theprocessed image is the small target region. The invention can be used for detecting weak and small targets in infrared images, and can effectively improve the detection accuracy of small targets in infrared images.

The invention discloses a dynamic motor truck scale and a method for testing truck weight, specially fitted for testing the truck weight under the dynamic condition. The inaccurate testing exists in the prior art. The dynamic motor truck scale of the invention comprises a grating sensor, a wheel axle identifier and an image collector which are arranged by matching with a weighting platform, wherein a transmitter and a receiver of the grating sensor are respectively arranged on two sides of a weighting channel in front of the weighting platform; the wheel axle identifier is arranged on the weighting channel in front of the weighting platform; the grating sensor, the wheel axle identifier and the image collector are all connected with a data collecting device. The data collecting device sums the weight data of each sensed wheel axle, analyzes and calculates the running speed and the acceleration of the truck according to the collected images, and verifies the weighting data so as to acquire the gross truck weight. The testing is accurate, the testing error which occurs due to the speed change in the testing points is prevented and the cheating phenomenon is avoided.

The invention discloses a detection system for a beam control circuit of a phased array radar antenna, and an implementation method for the detection system, and mainly solves problems in the prior art that the testing is tedious, the detection cost is increased and the detection efficiency is low. The system comprises an upper computer, an FPGA chip connected with the upper computer, an interfacecontrol module which is disposed in the upper computer, a test control module which is connected with the interface control module, a command analysis module which is connected with the test controlmodule, a command generation module which is connected with the command analysis module, and a serial port communication module connected with the FPGA chip. The test control module comprises a DA read-write module, a channel amplitude and phase control module, a system self-check module, a beam control algorithm verification module, a power pulse control module, a beam control circuit flash memory control module, and an attenuation amplitude control module, wherein the DA read-write module, the channel amplitude and phase control module, the system self-check module, the beam control algorithm verification module, the power pulse control module, the beam control circuit flash memory control module and the attenuation amplitude control module are connected with the command analysis module,and the serial port communication module is connected with the FPGA chip. The system is simple and convenient to operate, is good in compatibility, is complete in test items, and is high in test efficiency.

The invention discloses a structured light-based surface defect high-speed detection system, which comprises a high-speed camera, a structured light source, a light shield plate and an image processor, wherein the optical axis of the high-speed camera and a surface to be detected form a depression angle; the optical plane of the structured light source and the optical axis of the high-speed camera form an included angle of greater than or equal to 90 degrees; and the surface defect is mainly detected by using the detection system in the way that difference is made through pixel points to judge the existence of the defect, pixel points corresponding to the positions without defect are fitted and then deviation is calculated to further calculate the size of the defect and finally a light strip is partially integrated into an image. The detection system has the beneficial effects that the device is rational in structural design, the problem of influence brought by vibration of a vehicle body is solved, the image processing method is concise, the speed of a detection vehicle provided with the detection system can reach 300 km / h, on-line detection of the defects of surfaces of high speed train rails, road pavements and surfaces of runways can be realized, meanwhile, detection of defects of less than 1 mm can be realized, the detection result is displayed in one image to facilitate observation.

The invention relates to a preparation method and application of a sandwich type immunosensor for detecting a stomach cancer tumor marker, and belongs to the field of novel nano functional materials,immunoassay and biological sensors. Three-dimensional porous molybdenum disulfide loading gold nano particle h-MoS2 / Au NPs is prepared to serve as a substrate material to modify a bare glassy carbon electrode, the solid supporting amount of the tumor marker to capture antibody is improved, and the electron transferring rate of electrode surface is effectively accelerated; an octahedral cuprous oxide / titanium dioxide core-shell structure loading mesoporous platinoid nano particle Cu2O@TiO2 / PtCu composite nano material is prepared to immobilize and detect the antibody, and the simple, rapid andsensitive sandwich type electrochemical immunosensor is prepared by utilizing the excellent electrochemical catalytic property of the composite nano material to hydrogen peroxide H2O2, and the immunosensor is used for detecting related tumor markers of stomach cancer.

The invention provides a kit, primers, probe sequences and a method for detecting fetus chromosome aneuploid. The kit comprises the multiple pairs of specific primers and a plurality of specific Taqman probes all of which are designed according to 13#, 18# and 21# chromogene sequences of the human, and further comprises a reaction system used for digital PCR, wherein the nucleotide sequence of the specific primers and the specific Taqman probes is SEQ ID NO: 1-90. The detection method comprises the steps that firstly, the specific primers and the specific Taqman probes are designed according to the 13#, 18# and 21# chromogene sequences of the human; secondly, peripheral blood of a (12-23)-week pregnant woman is collected for plasma DNA extracting; thirdly, the reaction system of the digital PCR amplification gene sequence is prepared; fourthly, the numbers of 13#, 18# and 21# chromosomes of a fetus are calculated through digital PCR detection for the number of the chromosomes, digital PCR is used for detecting FAM and VIC fluorescence of all reaction units of a chip, and the copy number of the 13# chromosome, the copy number of the 18# chromosome and the copy number of the 21# chromosome are calculated respectively. By means of the kit and the method, the number of the 13# chromosome, the number of the 18# chromosome and the number of the 21# chromosome of the fetus can be efficiently, quickly and accurately detected without invasion, and the kit and the method are beneficial to clinic application and popularization.

The invention relates to a system and a method used for online detecting the defect of a fluoroplastic film, comprising a parallel image sensor device which consists of a plurality of high-resolution line array CCDs so as to obtain line array images, a control device used for the image sensor array, a control device of the line array CCD image sensor arrays is formed by a plurality of industrial control computers and touch screens and can achieve the synchronous control on a plurality of line array CCD cameras, an image transmission and processing device which is connected with the parallel image sensor device, consists of an industrial control local area network consisting of a plurality of industrial control computers and can achieve the parallel data transmission and data processing of a plurality of line array CCD sensors, and an illumination device which is suitable for the characteristics of the movable belt-shaped enwinding materials. The system and the method firstly apply the secondary differential of the pixel point match for the online detection of the fluoroplastic film, and avoid the measurement error caused by film motion. The system and the method can be widely applied to the industries such as avigation, electronics and electrics, chemical engineering, machines, building, textile, food, medical treatment and the like.

The invention relates to a method and instrument for detecting an oil gas recovery system of a gas station, in particular to an oil gas recovery detecting method and an intelligent detecting instrument, wherein the detecting method comprises the step of detecting the tightness, the liquid resistance and the gas liquid ratio of the oil gas recovery system of the gas station according to the programmed sequence by adopting a flow and pressure matching mode, and the detection data is automatically saved and can be printed on the spot or transmitted to a computer; and the intelligent detecting instrument comprises an anti-explosion circuit system and a closed gas path system, wherein the anti-explosion circuit system comprises a power supply source, a Roots flow sensor, a digital pressure sensor, a display screen, an input keyboard, a single chip microcomputer processing module, a data memory, a printer interface, a data transmission interface and the like, the closed gas path system comprises a flow sensor, a pressure sensor, a pipe fitting, a flexible pipe and a quick joint, and the circuit system and the gas path system are matched with a panel to be integrally installed in a box body. The detecting method of the invention is distinct, flexible, simple and convenient; and the detecting instrument of the invention has compact structure and perfect functions and can be carried, used, maintained and repaired simply and easily.

The invention discloses a bamboo forest pest recognition method based on a convolutional neural network model, and belongs to the technical field of agricultural and forestry pest recognition and classification. The method comprises the steps of collecting the bamboo forest pest sample image data; processing the pest sample image data of the bamboo forest to obtain a processed pest sample image data set of the bamboo forest; adopting a VGG convolutional neural network model, and optimizing the VGG convolutional neural network model; carrying out target pest identification and classification byutilizing the optimized VGG convolutional neural network model; developing a set of pest identifying and classifying method suitable for bamboo forests based on a VGGNet network structure, so that rapid identification and classification of common bamboo forest pests can be achieved, the automatic identification and classification can be achieved, and the identification accuracy is high.

The invention discloses a light-adjustable high-power LED driving power supply, comprising an alternating current input end filter unit, a rectification filter unit, a flyback conversion unit, an auxiliary power supply unit, a single-cycle control unit, a linear optically coupled isolation unit, a constant-current source output end, a constant-current control unit and a PWM (Pulse-Width Modulation) output light adjusting unit. The power supply disclosed by the invention has the advantages as follows: the flyback conversion unit of a main circuit is controlled by the single-cycle control unit;the single-cycle control unit outputs control signal according to output voltage, input current and reference voltage so as to control on and off of a switching tube in the constant-current source output end; therefore, the average value of the output voltage during a switching period is equal to a reference value; the constant-current control unit is provided with an Anti-windup controller whichis capable of effectively preventing integral saturation phenomenon in the control process, so as to keep linear continuity of the controller, keep the output current constant and improve control precision; and the output current is subjected to PWM adjustment so as to continuously adjust light and improve electric energy utilization ratio.

The invention relates to an online total nitrogen analyzer and a detection method thereof. The online total nitrogen analyzer comprises a peristaltic pump for providing sampling power, a metering module, a multiport valve, high-temperature and high-pressure valves, a detection module, and a high-temperature decomposition module, which are connected through a pipeline. The peristaltic pump is communicated with the metering module through the pipeline; the upper end of the metering module is communicated with the peristaltic pump, and the lower end is communicated with the multi-way valve; the multiport valve is communicated with a common pipeline of the metering module, the high-temperature decomposition module, the detection module, and a water sample, a measuring scale, a zero scale, liquid waste and at least one reagent pipeline in a reagent bin through different pipelines; the high-temperature and high-pressure valves are arranged at the upper and lower ends of the high-temperature decomposition module respectively, the lower end is communicated with the multiport valve, and the upper end is communicated with air. The online total nitrogen analyzer is small and compact in overall size, and simple in structure; the optical path design can eliminate interference of organic matters, the usage of the water sample and reagents is small, the treatment cost of the liquid waste is low, the expiration date of the reagents is long, the measurement is accurate, and the detection environment is stable.

The invention relates to a method for detecting the geometric shape of the back of a tailor-welding weld and an implementing device thereof. The method comprises the following steps that: a linear laser is used for projecting laser on the back of a tailor-welding weld so as to generate a plurality of laser streaks on the surface of the tailor-welding weld; a sensing unit acquires and obtains a weld surface gray level image including the laser streaks and transmits the acquired image to an image processing unit; the image processing unit processes the acquired weld image to obtain all shape parameters; and the weld quality is judged and thus the detection on the geometric shape of the back of the weld is finished. The implementing device of the method comprises a sensing unit, an image processing unit and a parameter setting and control unit, wherein the sensing unit is used for acquiring the image of a tailor-welding weld and transmitting the image to the image processing unit, the image processing unit is used for processing the acquired weld image, the parameter setting and control unit is used for setting all parameters and is respectively in communication with the sensing unit, the image processing unit and an upper computer. According to the invention, detection error caused by interference factors such as dust on the back of the weld, welding splatter, board scratch and the like in the welding process can be avoided, and the detection accuracy is improved greatly.

The invention provides an intelligent cup capable of recording user habits. The intelligent cup capable of recording the user habits aims at obtaining the accurate drinking amount of a user on the premise of the factors such as different geographical positions and altitudes, overcoming the errors, caused by cup tilting and gravitational acceleration, of drinking amount calculation and improving the user experience of the user during habit reminding setting. The intelligent cup capable of recording the user habits aims comprises a positioning and timing unit, a water amount determining unit, a temperature determining unit, a storing unit, a comparing unit, a lip interacting unit, a drinking amount unit and a reminding unit. According to the intelligent cup capable of recording the user habits, the detection accuracy of the drinking amount of the user of the intelligent cup is improved, the detection errors, generated when the cup is obliquely placed, of the drinking amount are reduced, and the user experience of the user during drinking amount setting is improved.

The invention relates to the technical field of image processing and mechanical part detection, in particular to a gear surface defect detection method and system based on image processing. The method comprises the following steps: extracting a single-tooth image from an initial gear image; classifying the pixel points in the single-tooth image according to the pixel values and the corresponding number of the pixel points to obtain boundary pixel points and surface pixel points; fitting the boundary pixel points to obtain a boundary curve; obtaining a boundary reference straight line according to the boundary pixel points on the boundary curve; determining whether the gear has a defect according to the similarity of the boundary reference straight line and the boundary curve; if the defect exists, performing up-down search by taking the boundary curve as a center to obtain boundary area edge points; determining a defect evaluation area through the boundary area edge points; and obtaining the gear wear degree according to the defect evaluation area. According to the method, the gear wear degree is evaluated by obtaining the boundary information, and the defect detection accuracy is ensured.

The invention discloses a flatness detection method comprising the following steps: first, selecting a plurality of measurement points from a plane to be detected, and detecting the 3D coordinates of the selected measurement points through a probe; fitting out a plane and a surface about the heights of the measurement points based on the 3D coordinates of the measurement points; gridding the surface obtained by fitting, and getting the intersections of the surface and a grid and the coordinates thereof; and calculating the Z-direction distance between each intersection and the obtained plane, and taking the maximum value as the flatness value of the plane to be detected. According to the method, the 3D coordinates of the measurement points are detected, the obtained 3D coordinates of the measurement points are fitted by use of a least square method to obtain a plane, a surface is fitted using matlab and is gridded, the Z-direction distance from the intersection of the surface and the grid to the plane is calculated, and finally, the flatness of the plane to be detected is obtained. Detection error caused by a limited number of measurement points is avoided, and the accuracy of measurement is improved.

The invention discloses an optical detection system applicable to absorbed light detection and fluorescence detection, which comprises a cold light source, a first entrance slit, a second entrance slit, a third entrance slit, a first converging lens, a second converging lens, an optical filter converter, a photoelectric detector, a halogen lamp and a first optical filter. The cold light source, the first entrance slit, the second entrance slit, the first converging lens, the third entrance slit and the photoelectric detector are arranged on the X-axis coaxially sequentially, a detection tube holding to-be-detected substance is arranged between the first entrance slit and the second entrance slit, the optical filter converter provided with a second optical filter and a third optical filter is arranged between the first converging lens and the third entrance slit, and the halogen lamp, the first optical filter and the second converging lens are sequentially arranged on the Y-axis coaxially. The optical detection system can be used for absorbed light detection and fluorescence detection simultaneously, the detection tube is fixed during the absorbed light detection and fluorescence detection, and accordingly detection results of the optical detection system are high in accuracy.

The invention relates to a preparation method and application of a pancreatic cancer immunosensor based on gold electrodeposition and Au@Ag / CuO-GS as markers, and particularly relates to preparation of a sandwich-type electrochemical immunosensor for detecting pancreatic cancer tumor markers by adopting Au@Ag / CuO-GS as a detection antibody marker. By using excellent biocompatibility and high catalytic performance of the Au@Ag / CuO-GS, the prepared sensor has relatively high sensitivity and relatively wide detection range; and the detection limit can reach 1.5fg / mL.

In order to overcome the technical defects that in an existing vehicle-mounted detection system, the detection data volume is limited, a detection signal has poor synchronism, and the whole state detection and the whole performance evaluation of a vehicle system cannot be realized, the invention provides a small vehicle-mounted vehicle safety comprehensive detection system. The system takes an FPGA (Field Programmable Gate Array) as a core processor, and is combined with an external vehicle sensor and an A / D (Analog-Digital) conversion chip to comprehensively detect a driving state and a driving environment of a vehicle, collected GPS (Global Position System) time data is utilized to send out a synchronization pulse to control a vehicle-mounted sensor to sample data, the time synchronization of a detection signal of each vehicle-mounted sensor is ensured, the system does not need a computer or other core processing units such as a DSP (Digital Signal Processor) and an ARM (Advance RISC Machine), and the technical problems that in the existing vehicle-mounted detection system, the detection data volume is limited, the detection signal has poor synchronism, and the whole state detection and the whole performance evaluation of the vehicle system cannot be realized are solved.

The invention belongs to the technical field of lithium ion batteries. The invention particularly relates to a lithium ion battery charging lithium precipitation real-time detection method and system.The method comprises the following steps of: carrying out intermittent charging test on a lithium ion battery; when the electric quantity is increased by 1%, an SOC is switched off for 3s, the intermittent period voltage change (dV) and current change (dI) are collected, a resistance value (ZTR) is calculated through the ohm law (dU / dI), a distribution curve of the ZTR along with the charging capacity is drawn, and the lithium precipitation state in the lithium ion battery is judged according to the distribution curve of the ZTR along with the charging capacity. The system comprises a test acquisition module, a data processing module and a lithium precipitation judgment module. The negative electrode lithium precipitation of the lithium ion battery can be accurately detected at a low temperature (10 DEG C), detection errors caused by artificial subjectivity are avoided, the service life of the lithium ion battery is prolonged, the safety performance of the lithium ion battery is improved, operation is easy, convenient and efficient, and the detection precision is high.