Magnetic resonance fault detection and diagnosis system

Abstract

The invention discloses a magnetic resonance fault detection and diagnosis system, which relates to the field of magnetic resonance fault detection and diagnosis and comprises a server, and the server is connected with a data acquisition module, a hardware analysis module, an image software module, an early warning diagnosis module and a system platform. When the magnet information, the welding point information and the coil information of each magnetic resonance are received, the hardware state of the magnetic resonance is judged, analyzed and processed so as to obtain a magnetic resonance hardware estimation value, and when the image information and the software information of each magnetic resonance are received, the image and software running state is judged, analyzed and processed so as to obtain a magnetic resonance hardware estimation value; the method comprises the following steps: obtaining a magnetic resonance image state value and a magnetic resonance software state value, carrying out magnetic resonance overall operation state judgment analysis processing, obtaining a magnetic resonance comprehensive value, and carrying out comparative analysis on the magnetic resonance comprehensive value and a set reference threshold value to obtain different display early warnings corresponding to magnetic resonance in different operation states, so that a magnetic resonance fault state can be evaluated in time; and the fault checking cost and the fault occurrence rate are reduced.

Description

Technical Field

[0001] The invention relates to the field of magnetic resonance fault detection and diagnosis, and in particular to a magnetic resonance fault detection and diagnosis system. Background Art

[0002] With the continuous development of economy and technology, people are paying more and more attention to their health, and the demand for magnetic resonance is also increasing. At the same time, the fault detection and fault diagnosis of magnetic resonance systems are important issues that need to be solved. Traditional fault detection and fault diagnosis are too dependent on manual experience and professional knowledge, and cannot guarantee the accuracy of fault detection and diagnosis. Inspection magnetic resonance fault detection and diagnosis systems came into being.

[0003] When the existing magnetic resonance fault detection and diagnosis system is in operation, the magnetic resonance operation parameters collected are too limited, and the magnetic resonance fault status cannot be evaluated in time, nor can the fault diagnosis be performed when the magnetic resonance fault occurs, which increases the fault inspection cost and the fault occurrence rate. Therefore, it is a technical problem that technical personnel in this field need to solve to conduct comprehensive judgment and analysis of the magnetic resonance fault status and to correctly diagnose the fault when the magnetic resonance fault occurs.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] In order to solve the technical problems raised by the above background technology, the present invention is proposed. An embodiment of the present invention provides a magnetic resonance fault detection and diagnosis system.

[0006] The purpose of the present invention can be achieved through the following technical solutions: checking the magnetic resonance fault detection and diagnosis system, including a server, the server is connected with a data acquisition module, a hardware analysis module, an image software module, an early warning diagnosis module and a system platform.

[0007] The data acquisition unit is used to collect magnet information, welding point information, coil information, image information and software information, and send it to the hardware analysis module and the image software module;

[0008] The hardware analysis module performs hardware status determination and analysis processing on the magnet information, welding point information and coil information of each magnetic resonance to obtain a hardware status estimation value of the magnetic resonance;

[0009] The image software module performs image and software operation status determination and analysis processing on the image information and software information of each magnetic resonance image to obtain a magnetic resonance image status value and a magnetic resonance software status value;

[0010] The early warning diagnosis module performs an analysis and processing of the overall operation status of the magnetic resonance on the magnetic resonance hardware evaluation value, the magnetic resonance image status value and the magnetic resonance software status value to obtain a comprehensive magnetic resonance status value, and compares and analyzes it with a set reference threshold value to obtain different display warnings corresponding to magnetic resonance under different operation states.

[0011] Furthermore, the magnetic resonance hardware status estimation specifically includes the following steps:

[0012] The magnet's isotropic magnetic stability value, the magnet's anti-interference ability value, the coil's current status evaluation value and the magnetic resonance welding point crack anomaly value are processed according to the graphical construction to obtain the magnetic resonance hardware evaluation value.

[0013] Furthermore, the magnet's isotropic magnetic stability value and the magnet's anti-interference ability value specifically include the following steps:

[0014] A permanent magnet is used to apply increasing magnetic field strength in the x-axis, y-axis and z-axis directions of the magnet in magnetic resonance, and a superconducting quantum interference device is used to measure the change in magnetization intensity. The three directions are perpendicular to each other, and the magnetic field intensity is used as the horizontal axis and the magnetization intensity is used as the vertical axis. The magnetization intensity change curves in the x-axis, y-axis and z-axis directions are plotted respectively and marked as cq1. i 、cq2 i and cq3 i , i represents the number of magnetic field strength, i = 1, 2, 3...I, I is the maximum value of magnetic field strength, according to the formula Calculate and get the magnet's deformation correlation coefficient bs, and take the closed area formed by the x-axis curve and the y-axis curve to get the first area, take the closed area formed by the x-axis curve and the z-axis curve to get the second area, weight the first area and the second area and multiply them by the corresponding weight factor coefficient to get the magnet surface variation value, and mark it as qb, process the tangent of the magnetization intensity change curve in the x-axis, y-axis and z-axis directions respectively, and take the slope of the tangent and mark it as xx respectively i ,yx i and zx i , and compare the slope of each point with the set reference saturation slope. When the slopes in the x-axis, y-axis and z-axis directions are less than or equal to the set reference saturation slope, the magnetization intensity of the point is taken as the saturation magnetization intensity in the x-axis, y-axis and z-axis directions. The saturation magnetization intensity in the x-axis, y-axis and z-axis directions is averaged to obtain the anti-interference ability value of the magnet. The saturation change value of the magnet is calculated by the formula. The correlation coefficient, the magnet surface change value and the saturation change value of the magnet are analyzed and calculated to obtain the magnetic stability value of the magnet in all directions.

[0015] Furthermore, the current status evaluation of the coil and the abnormal value of the crack of the magnetic resonance welding point specifically include the following steps:

[0016] To obtain the information of each welding point of magnetic resonance, ultrasonic waves are emitted to the magnetic resonance welding point at different emission points and the reflected waves are received. The position of the emission point and the receiving point are the same. The propagation speed of ultrasonic waves is calculated as v n The propagation time is t n , and calculate the distance from each emission point to the detected crack as r n =v n ×t n / 2, n represents the number of each emission point, and a circle is drawn with the position of different emission points as the center and the measured distance as the radius, and the intersection of the circles is the position where the crack exists. The crack coordinate point of the magnetic resonance welding point is analyzed and the ratio is made with the area of ​​the magnetic resonance welding point to obtain the magnetic resonance welding point crack distribution value. The average peak value, average frequency, average propagation time and average intensity reduction value of the reflected wave are measured by an oscilloscope, and the estimated width of the welding point crack is calculated by formula; the magnetic resonance welding point crack distribution value and the welding point crack width estimate are converted into length according to a certain ratio, and a parallelogram is constructed with the length of the magnetic resonance welding point crack distribution value and the length of the welding point crack width as the side length and height of the parallelogram respectively, and the perimeter of the parallelogram is identified and marked as the magnetic resonance welding point crack outlier;

[0017] The metal material properties of the magnetic resonance coil are obtained, specifically silver, copper, iron bronze alloy, gold, other metals and other alloys, and the corresponding conductivity levels are primary conductive metal, secondary conductive metal, tertiary conductive metal, quaternary conductive metal, fifth conductive metal and sixth conductive metal. The wire diameter xj of the laser diameter gauge coil is used to measure the magnetic field intensity of each area of ​​the coil by a Gauss meter, and the measured magnetic field intensity is converted according to a certain ratio to obtain the sensitivity value of each area. The sensitivity of each area is compared with the set reference sensitivity threshold. When the sensitivity of the area is greater than the set reference sensitivity threshold, the area is an effective detection area. The area of ​​the effective detection area and the total detection area of ​​the coil are obtained, and the ratio is made to obtain the filling factor of the coil. The color abnormality value of the coil, the property value of the coil, the wire diameter of the coil and the filling factor of the coil are calculated according to the formula to obtain the current status evaluation of the coil.

[0018] Furthermore, the color difference value of the coil and the property value of the coil specifically include the following steps:

[0019] Monitor the brightness and chromaticity of the magnetic resonance coil by a colorimeter, calculate by formula, obtain the color difference between adjacent monitoring times, compare and analyze the color difference between adjacent monitoring times with the set reference color difference threshold, when the color difference between adjacent monitoring times is greater than the set reference color difference threshold, the corresponding monitoring time point is an abnormal time point, when the color difference between adjacent monitoring times is equal to or less than the set reference color difference threshold, the corresponding monitoring time point is a normal time point, obtain the abnormal time percentage of the total time period, obtain the interval time of each normal time point, and sum them up to obtain the total duration of the normal interval, weight the abnormal time percentage and the total duration of the normal interval and multiply them by the corresponding weight factor coefficient to obtain the color abnormality value of the coil;

[0020] The inductance of the coil is measured by an inductance measuring instrument, the resistance of the coil is measured by a resistance measuring instrument, the angular frequency of the coil is measured by an oscilloscope, and the quality factor of the coil is calculated by the formula. The coil is connected to a spectrum analyzer, and the frequency of the input signal is gradually changed. When the impedance of the coil reaches its maximum value, the frequency at this time is the self-resonance frequency. The property value xz of the coil is calculated by the formula.

[0021] Furthermore, the magnetic resonance image status value and the magnetic resonance software status value specifically include the following steps:

[0022] The signal-to-noise ratio, artifact value and contrast-to-noise ratio in the magnetic resonance image information are obtained, and the magnetic resonance image state value is calculated with the magnetic resonance image gray value formula;

[0023] The data transmission rate, average response time and number of algorithm database samples in the magnetic resonance diagnostic system software information are obtained, and the magnetic resonance software status value is obtained by calculation according to the formula.

[0024] Furthermore, the gray value of the magnetic resonance image specifically includes the following steps:

[0025] The magnetic resonance image is acquired and converted into grayscale values. The grayscale histogram is used to count the frequency of occurrence of different grayscale values. The frequency height of each grayscale value is counted to obtain the frequency of occurrence of each grayscale value and sort them from high to low. The grayscale frequency of the first value is subtracted from the grayscale frequency of the last value to obtain the total height difference value. The range value of the grayscale distribution in the histogram is obtained and marked as the width of the histogram. The specific grayscale value of the peak value in the histogram is obtained and the formula is used to calculate the gray value hzz of the magnetic resonance image.

[0026] Furthermore, the magnetic resonance image quality evaluation specifically includes the following steps:

[0027] The magnetic resonance hardware status value, the magnetic resonance image status value and the magnetic resonance software status value are calculated to obtain the magnetic resonance comprehensive status value.

[0028] Furthermore, the magnetic resonance under different operating states corresponds to different display warnings, which specifically includes the following steps:

[0029] Setting gradient reference thresholds Yu1 and Yu2 of the magnetic resonance condition value, and comparing and analyzing the magnetic resonance condition value with the preset gradient reference thresholds Yu1 and Yu2, wherein the gradient reference thresholds Yu1 and Yu2 increase in a gradient manner;

[0030] When the magnetic resonance overall value is greater than the preset gradient reference threshold value Yu2, a magnetic resonance good operation signal is generated and sent to the magnetic resonance system platform in the form of a label-text description for display;

[0031] When the MRI status value is between the preset gradient reference thresholds Yu1 and Yu2, the MRI operates as a general signal and is sent to the MRI system platform in the form of a description of the label 2 text words for display;

[0032] When the magnetic resonance overall status value is less than the preset gradient reference threshold value Yu1, it is a poor magnetic resonance operation signal. The magnetic resonance hardware estimated status value and the magnetic resonance software status value are calculated by a formula to obtain a magnetic resonance fault warning value; the magnetic resonance fault warning value is compared with the set fault warning value threshold. When the magnetic resonance fault warning value is greater than or equal to the set fault warning value threshold, it is sent to the magnetic resonance system platform for display in the form of a description of the text words in label three. When the magnetic resonance fault warning value is less than the set fault warning value threshold, it is sent to the magnetic resonance system platform for display in the form of a description of the text words in label four.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. The present invention obtains the saturation change value of the magnet by analyzing the change of the magnetization intensity of the magnet in the magnetic resonance hardware with the magnetic field intensity, obtains the estimation of the crack width of the welding point and the current status evaluation of the coil by analyzing the welding point information and the magnetic resonance coil information, further analyzes to obtain the estimated status value of the magnetic resonance hardware, and performs image and software operation status determination and analysis processing based on the image information and software information to obtain the magnetic resonance image status value and the magnetic resonance software status value, which can determine and analyze the magnetic resonance fault status from multiple perspectives, increase the accuracy of magnetic resonance fault detection, and reduce the fault occurrence rate.

[0035] 2. The present invention determines and analyzes the overall operation status of magnetic resonance by processing the magnetic resonance hardware status value, the magnetic resonance image status value and the magnetic resonance software status value, obtains the magnetic resonance comprehensive status value, and compares and analyzes it with the set reference threshold value, obtains different display warnings corresponding to the magnetic resonance under different operation status, can timely identify the magnetic resonance fault status, and can also correctly diagnose the fault when the magnetic resonance fails, greatly reducing the fault inspection cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled according to the actual sizes, and the focus is on illustrating the main purpose of the present invention.

[0037] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0038] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0039] like Figure 1 As shown, the magnetic resonance fault detection and diagnosis system includes a server, and the server is connected to a data acquisition module, a hardware analysis module, an image software module, an early warning diagnosis module and a system platform.

[0040] The data acquisition unit is used to collect magnet information, welding point information, coil information, image information and software information, and send it to the hardware analysis module and the image software module.

[0041] When the hardware analysis module receives the magnet information, welding point information and coil information of each magnetic resonance, it performs hardware status determination and analysis processing of the magnetic resonance based on the information to obtain the estimated status value of the magnetic resonance hardware. The specific operation process is as follows:

[0042] A permanent magnet is used to apply increasing magnetic field strength in the x-axis, y-axis and z-axis directions of the magnet in magnetic resonance, and a superconducting quantum interference device is used to measure the change in magnetization intensity. The three directions are perpendicular to each other, and the magnetic field intensity is used as the horizontal axis and the magnetization intensity is used as the vertical axis. The magnetization intensity change curves in the x-axis, y-axis and z-axis directions are plotted respectively and marked as cq1. i 、cq2 i and cq3 i , i represents the number of magnetic field strength, i = 1, 2, 3...I, I is the maximum value of magnetic field strength, according to the formula The magnet's deformation correlation coefficient bs is calculated, and the closed area formed by the x-axis curve and the y-axis curve is taken to obtain the first area, and the closed area formed by the x-axis curve and the z-axis curve is taken to obtain the second area. The first area and the second area are weighted and multiplied by the corresponding weight factor coefficient to obtain the magnet surface variation value, which is marked as qb. The tangent of the magnetization intensity change curve in the x-axis, y-axis and z-axis directions is processed respectively, and the slope of the tangent is taken and marked as xx respectively. i ,yx i and zx i , and compare the slope of each point with the set reference saturation slope. When the slopes in the x-axis, y-axis and z-axis directions are less than or equal to the set reference saturation slope, the magnetization intensity of the point is taken as the saturation magnetization intensity in the x-axis, y-axis and z-axis directions, marked as bhx, bhy and bhz, and the saturation magnetization intensity in the x-axis, y-axis and z-axis directions is averaged to obtain the anti-interference ability value kg of the magnet. According to the set formula model

[0043] Obtain the saturation change value bbz of the magnet, where TO1, TO2 and TO3 are all set weight factor coefficients. Substitute the change correlation coefficient bs, the magnet surface change value qb and the saturation change value bbz of the magnet into the set formula

[0044] In the model gw=a1×bs+a2 / qb+a3 / bbz, the magnet's isotropic magnetic stability value gw is obtained, where a1, a2 and a3 are the setting weight factor coefficients of the deformation correlation coefficient, the magnet surface variation value and the magnet's saturation variation value respectively, and the specific values ​​are determined by people in this field.

[0045] To obtain the information of each welding point of magnetic resonance, ultrasonic waves are emitted to the magnetic resonance welding point at different emission points and the reflected waves are received. The position of the emission point and the receiving point are the same. The propagation speed of ultrasonic waves is calculated as v n The propagation time is t n , and calculate the distance from each emission point to the detected crack as r n =v n ×t n / 2, n represents the number of each emission point. A circle is drawn with the position of different emission points as the center and the measured distance as the radius. The intersection of the circles is the location of the crack. The position coordinates of the emission points are set to (x1, y1, z1), (x2, y2, z2), (x3, y3, z3), and the measured distances r1, r2 and r3 are calculated according to the set formula Solve the equations to get the coordinates of the crack (x, y, z), solve them multiple times, get the coordinates of the cracks at the magnetic resonance welding point, and make a ratio with the area of ​​the magnetic resonance welding point to get the distribution of the cracks at the magnetic resonance welding point. Use an oscilloscope to measure the average peak value, average frequency, average propagation time and average intensity reduction of the reflected wave, mark them as fz, pl, ct and qj, and normalize them according to the set formula The estimated kd of the crack width of the welding point is obtained, and a1, a2, a3 and a4 are respectively the set weight factors of the average peak value, the average frequency, the average propagation time and the average intensity reduction value, which are used to improve the accuracy of the calculation. The specific values ​​are determined by personnel in this professional field. A1 is the set propagation time, and e is a natural constant with a value of 2.718; the magnetic resonance welding point crack distribution value and the estimated width of the welding point crack are converted into length according to a certain ratio, and a parallelogram is constructed with the length of the magnetic resonance welding point crack distribution value and the length of the welding point crack width as the side length and height of the parallelogram, and the perimeter of the parallelogram is identified and marked as the magnetic resonance welding point crack outlier;

[0046] The brightness and chromaticity of the magnetic resonance coil are monitored by a colorimeter and marked as md m and sd m , and according to the formula Get the color difference sc between m adjacent monitoring times m , m is the number of the monitoring time, TU1 and TU2 are the set weight factors of brightness and chromaticity respectively, compare and analyze the color difference between adjacent monitoring times with the set reference color difference threshold, when the color difference between adjacent monitoring times is greater than the set reference color difference threshold, the corresponding monitoring time point is an abnormal time point, when the color difference between adjacent monitoring times is equal to or less than the set reference color difference threshold, the corresponding monitoring time point is a normal time point, obtain the abnormal time ratio of the total time period and mark it as yc, obtain the interval time of each normal time point, and sum it up to get the total normal interval duration zg, weight the abnormal time ratio yc and the total normal interval duration zg and multiply them by the corresponding weight factor coefficient to get the color abnormality value sy of the coil;

[0047] The inductance value dg of the coil is measured by an inductance measuring instrument, the resistance dz of the coil is measured by a resistance measuring instrument, and the angular frequency jp of the coil is measured by an oscilloscope. According to the set formula pz=dz×jp / dg, the quality factor pz of the coil is obtained. By connecting the coil to the spectrum analyzer and gradually changing the frequency of the input signal, when the impedance of the coil reaches the maximum value, the frequency at this time is the self-resonance frequency zx. According to the set formula The property value xz of the coil is obtained, b1, b2, b3, b4 and b5 are the set weight factor coefficients, where b3>b1>b4, b2>b5, c is a natural constant, the specific value is 101.5, A2 is the reference maximum value of the self-resonance frequency set for the coil, and A3 is the reference minimum value of the self-resonance frequency set for the coil;

[0048] The metal material properties of the magnetic resonance coil are obtained, specifically silver, copper, iron bronze alloy, gold, other metals and other alloys, and the corresponding conductivity levels are primary conductive metal, secondary conductive metal, tertiary conductive metal, quaternary conductive metal, fifth conductive metal and sixth conductive metal. The wire diameter xj of the laser diameter measuring instrument coil is used to measure the magnetic field strength of each area of ​​the coil by a Gauss meter, and the measured magnetic field strength is converted according to a certain ratio to obtain the sensitivity value of each area. The sensitivity of each area is compared with the set reference sensitivity threshold. When the sensitivity of the area is greater than the set reference sensitivity threshold, the area is the effective detection area. The area of ​​the effective detection area and the total detection area of ​​the coil are obtained, and the ratio is made to obtain the filling factor tc of the coil. The color anomaly value sy of the coil, the property value xz of the coil, the wire diameter xj of the coil and the filling factor tc of the coil are normalized. According to the set formula The current status evaluation value xp of the coil is obtained, where T01, T02, T03, T04, T05, T06, T07, T08, T09, T010, T011 and T012 are the set weight factors, T01 <T05<T09,T02> T06>T010, T03>T07>T011, T04>T08>T012, the specific values ​​are determined by professionals in this field.

[0049] The magnet's isotropic magnetic stability value gw, the magnet's anti-interference ability value kg and the coil's current status evaluation value xp are converted into lengths according to a certain ratio, and a trapezoid is constructed with the magnet's isotropic magnetic stability value gw, the magnet's anti-interference ability value kg and the coil's current status evaluation value xp as the lower base, upper side length and height of the trapezoid. The magnetic resonance welding point crack difference value is converted into lengths according to a certain ratio, and a circle is constructed within the trapezoid with the length of the magnetic resonance welding point crack difference value as the radius of the circle, wherein the center of the trapezoid coincides with the center of the circle, and the non-overlapping area formed by the trapezoid and the circle is identified and marked as the magnetic resonance hardware evaluation value yjz;

[0050] When the image software module receives the image information and software information of each magnetic resonance, it performs image and software operation status determination and analysis processing accordingly to obtain the magnetic resonance image status value and the magnetic resonance software status value. The specific operation process is as follows:

[0051] Obtain the magnetic resonance image and convert it into grayscale values. Use the grayscale histogram to count the frequency of occurrence of different grayscale values. Count the frequency height of each grayscale value, get the frequency of occurrence of each grayscale value from high to low, subtract the grayscale frequency of the grayscale value in the front order from the grayscale frequency of the back order, and get the total height difference value zgx. Get the range value of the grayscale distribution in the histogram, marked as the width of the histogram zkd, get the specific grayscale value fhd of the peak in the histogram, according to the set formula model The gray value hzz of the magnetic resonance image is obtained by calculation, wherein UO1, UO2 and UO3 are all preset weight factors, σ is a preset correction factor, and A4 is a reference gray value at which the peak value is set;

[0052] The signal-to-noise ratio, artifact value and contrast-to-noise ratio in the magnetic resonance image information are obtained, and they are marked as xzb, wyz and dbz respectively, and normalized with the gray value of the magnetic resonance image, and substituted into the set formula ctz=(h1×xzb+h3×dbz+h4×hzz) / (h2×wyz) to obtain the magnetic resonance image state value ctz, where h1, h2, h3 and h4 are the set weight factor coefficients of the signal-to-noise ratio, artifact value, contrast-to-noise ratio and gray value of the magnetic resonance image respectively;

[0053] It should be noted that the artifact value refers to the square of the difference between the pixel value of each point in the magnetic resonance image and the set pixel value, which is summed and then multiplied by a preset correction factor;

[0054] The data transmission rate, average response time and number of algorithm database samples in the software information of the magnetic resonance diagnosis system are obtained, and they are marked as scs, xys and ssk respectively. According to the set formula model cgr=(f1×scs+f3×ssk) / (f2×xys), the magnetic resonance software status value cgr is obtained, where f1, f2 and f3 are the set influencing factor coefficients of the data transmission rate, the average response time and the number of algorithm database samples respectively;

[0055] When the early warning diagnosis module receives the MRI hardware status value, MRI image status value and MRI software status value, it performs the overall MRI operation status determination and analysis based on the value to obtain the MRI comprehensive status value, and compares and analyzes it with the set reference threshold value to obtain different display warnings corresponding to the MRI under different operation states. The specific operation process is as follows:

[0056] The MRI hardware status value yjz, MRI image status value ctz and MRI software status value cgr are normalized and substituted into the formula Calculate and obtain the magnetic resonance comprehensive state value CGZ, where LP1, LP2 and LP3 are respectively the preset weight factors of the magnetic resonance hardware estimated state value, the magnetic resonance image state value and the magnetic resonance software state value, and ρ is the preset correction factor;

[0057] Setting gradient reference thresholds Yu1 and Yu2 of the magnetic resonance condition value, and comparing and analyzing the magnetic resonance condition value with the preset gradient reference thresholds Yu1 and Yu2, wherein the gradient reference thresholds Yu1 and Yu2 increase in a gradient manner;

[0058] When the magnetic resonance comprehensive value is greater than the preset gradient reference threshold value Yu2, a magnetic resonance good operation signal is generated and sent to the magnetic resonance system platform for display in the form of a description of the text words "the magnetic resonance operation is in a good state";

[0059] When the MRI comprehensive status value is between the preset gradient reference thresholds Yu1 and Yu2, the MRI operation is a normal signal, and a description of the text "the MRI operation is in a normal state, strengthen hardware and software monitoring" is sent to the MRI system platform for display;

[0060] When the magnetic resonance overall status value is less than the preset gradient reference threshold value Yu1, it is a signal that the magnetic resonance operation is poor. The magnetic resonance hardware estimated status value yjz and the magnetic resonance software status value cgr are calculated by the set formula DZ=d1×yjz / (d2×cgr) to obtain the magnetic resonance fault warning value DZ; wherein d1 and d2 are set weight coefficients respectively, and the magnetic resonance fault warning value DZ is compared with the set fault warning value threshold. When the magnetic resonance fault warning value is greater than or equal to the set fault warning value threshold, it is sent to the magnetic resonance system platform for display in the form of a description of the text "the magnetic resonance operation is in a poor state, and the hardware fails". When the magnetic resonance fault warning value is less than the set fault warning value threshold, it is sent to the magnetic resonance system platform for display in the form of a description of the text "the magnetic resonance operation is in a poor state, and the software fails".

[0061] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. Check the magnetic resonance fault detection and diagnosis system, including a server, characterized in that, The server is connected to the system platform, as well as: A data acquisition unit, used to collect magnet information, welding point information, coil information, image information and software information, and send it to the hardware analysis module and the image software module; The hardware analysis module performs hardware status determination and analysis on the magnet information, welding point information and coil information of each magnetic resonance to obtain the hardware status estimation value of the magnetic resonance; The image software module performs image and software operation status determination and analysis processing on the image information and software information of each magnetic resonance image to obtain the magnetic resonance image status value and the magnetic resonance software status value; The early warning diagnosis module determines and analyzes the overall operating status of the magnetic resonance based on the magnetic resonance hardware status value, magnetic resonance image status value and magnetic resonance software status value to obtain the magnetic resonance comprehensive status value, and compares and analyzes it with the set reference threshold value to obtain different display warnings corresponding to the magnetic resonance under different operating states.

2. The inspection magnetic resonance fault detection and diagnosis system according to claim 1, characterized in that: The magnetic resonance hardware status estimation specifically comprises the following steps: The magnet's isotropic magnetic stability value, the magnet's anti-interference ability value, the coil's current status evaluation value and the magnetic resonance welding point crack anomaly value are processed according to the graphical construction to obtain the magnetic resonance hardware evaluation value.

3. The inspection magnetic resonance fault detection and diagnosis system according to claim 2, characterized in that: The magnet isotropic magnetic stability value and the magnet anti-interference ability value specifically include the following steps: A permanent magnet is used to apply increasing magnetic field strength in the x-axis, y-axis and z-axis directions of the magnet in magnetic resonance, and a superconducting quantum interference device is used to measure the change in magnetization intensity. The three directions are perpendicular to each other, and the magnetic field intensity is used as the horizontal axis and the magnetization intensity is used as the vertical axis. The magnetization intensity change curves in the x-axis, y-axis and z-axis directions are plotted respectively and marked as cq1. i 、cq2 i and cq3 i , i represents the number of magnetic field strength, i = 1, 2, 3...I, I is the maximum value of the magnetic field strength number, according to the formula The magnet's deformation correlation coefficient bs is calculated, and the closed area formed by the x-axis curve and the y-axis curve is taken to obtain the first area, and the closed area formed by the x-axis curve and the z-axis curve is taken to obtain the second area. The first area and the second area are weighted and multiplied by the corresponding weight factor coefficient to obtain the magnet surface variation value, which is marked as qb. The tangent of the magnetization intensity change curve in the x-axis, y-axis and z-axis directions is processed respectively, and the slope of the tangent is taken and marked as xx respectively. i ,yx i and zx i , and compare the slope of each point with the set reference saturation slope. When the slopes in the x-axis, y-axis and z-axis directions are less than or equal to the set reference saturation slope, the magnetization intensity of the point is taken as the saturation magnetization intensity in the x-axis, y-axis and z-axis directions. The saturation magnetization intensity in the x-axis, y-axis and z-axis directions is averaged to obtain the anti-interference ability value of the magnet. The saturation change value of the magnet is calculated by the formula. The correlation coefficient, the magnet surface change value and the saturation change value of the magnet are analyzed and calculated to obtain the magnetic stability value of the magnet in all directions.

4. The inspection magnetic resonance fault detection and diagnosis system according to claim 2, characterized in that: The current status evaluation of the coil and the abnormal value of the crack of the magnetic resonance welding point specifically include the following steps: The information of each welding point of magnetic resonance is obtained. Ultrasonic waves are transmitted to the welding point of magnetic resonance at different transmitting points and the reflected waves are received. The position of the transmitting point and the receiving point are the same. The propagation speed of ultrasonic waves is calculated as v n The propagation time is t n , and calculate the distance from each emission point to the detected crack as r n =v n ×t n / 2, n represents the number of each emission point, and a circle is drawn with the position of different emission points as the center and the measured distance as the radius, and the intersection of the circles is the position where the crack exists. The crack coordinate point of the magnetic resonance welding point is analyzed and the ratio is made with the area of ​​the magnetic resonance welding point to obtain the magnetic resonance welding point crack distribution value. The average peak value, average frequency, average propagation time and average intensity reduction value of the reflected wave are measured by an oscilloscope, and the estimated width of the welding point crack is calculated by formula; the magnetic resonance welding point crack distribution value and the welding point crack width estimate are converted into length according to a certain ratio, and a parallelogram is constructed with the length of the magnetic resonance welding point crack distribution value and the length of the welding point crack width as the side length and height of the parallelogram respectively, and the perimeter of the parallelogram is identified and marked as the magnetic resonance welding point crack outlier; The metal material properties of the magnetic resonance coil are obtained, specifically silver, copper, iron bronze alloy, gold, other metals and other alloys, and the corresponding conductivity levels are primary conductive metal, secondary conductive metal, tertiary conductive metal, quaternary conductive metal, fifth conductive metal and sixth conductive metal, respectively. The wire diameter xj of the laser diameter gauge coil is used to measure the magnetic field intensity of each area of ​​the coil by a Gauss meter, and the measured magnetic field intensity is converted according to a certain ratio to obtain the sensitivity value of each area. The sensitivity of each area is compared with the set reference sensitivity threshold. When the sensitivity of the area is greater than the set reference sensitivity threshold, the area is an effective detection area. The area of ​​the effective detection area and the total detection area of ​​the coil are obtained, and the ratio is made to obtain the filling factor of the coil. The color abnormality value of the coil, the property value of the coil, the wire diameter of the coil and the filling factor of the coil are calculated according to the formula to obtain the current status evaluation of the coil.

5. The inspection magnetic resonance fault detection and diagnosis system according to claim 4, characterized in that: The color difference value of the coil and the property value of the coil specifically include the following steps: Monitor the brightness and chromaticity of the magnetic resonance coil by a colorimeter, calculate the color difference between adjacent monitoring times, compare and analyze the color difference between adjacent monitoring times with the set reference color difference threshold, when the color difference between adjacent monitoring times is greater than the set reference color difference threshold, the corresponding monitoring time point is an abnormal time point, when the color difference between adjacent monitoring times is equal to or less than the set reference color difference threshold, the corresponding monitoring time point is a normal time point, obtain the abnormal time percentage of the total time period, obtain the interval time of each normal time point, and sum them up to obtain the total duration of the normal interval, weight the abnormal time percentage and the total duration of the normal interval and multiply them by the corresponding weight factor coefficient to obtain the color abnormality value of the coil; The inductance of the coil is measured by an inductance measuring instrument, the resistance of the coil is measured by a resistance measuring instrument, the angular frequency of the coil is measured by an oscilloscope, and the quality factor of the coil is calculated. The coil is connected to a spectrum analyzer, and the frequency of the input signal is gradually changed. When the impedance of the coil reaches its maximum value, the frequency at this time is the self-resonance frequency, and the property value of the coil is calculated.

6. The inspection magnetic resonance fault detection and diagnosis system according to claim 1, characterized in that: The magnetic resonance image status value and the magnetic resonance software status value specifically include the following steps: The signal-to-noise ratio, artifact value and contrast-to-noise ratio in the magnetic resonance image information are obtained, and the magnetic resonance image state value is calculated with the magnetic resonance image gray value formula; The data transmission rate, average response time and number of algorithm database samples in the magnetic resonance diagnostic system software information are obtained, and the magnetic resonance software status value is calculated.

7. The inspection magnetic resonance fault detection and diagnosis system according to claim 6, characterized in that: The magnetic resonance image gray value specifically comprises the following steps: The magnetic resonance image is acquired and converted into grayscale values. The grayscale histogram is used to count the frequency of occurrence of different grayscale values. The frequency height of each grayscale value is counted to obtain the frequency of occurrence of each grayscale value and sort them from high to low. The grayscale frequency of the first sorted value minus the grayscale frequency of the last sorted value is subtracted to obtain the total height difference value. The range value of the grayscale distribution in the histogram is obtained and marked as the width of the histogram. The specific grayscale value of the peak value in the histogram is obtained and the gray value of the magnetic resonance image is calculated.

8. The inspection magnetic resonance fault detection and diagnosis system according to claim 1, characterized in that: The magnetic resonance image quality evaluation specifically comprises the following steps: The magnetic resonance hardware status value, the magnetic resonance image status value and the magnetic resonance software status value are calculated to obtain the magnetic resonance comprehensive status value.

9. The inspection magnetic resonance fault detection and diagnosis system according to claim 1, characterized in that: The magnetic resonance under different operating states corresponds to different display warnings, which specifically includes the following steps: Setting gradient reference thresholds Yu1 and Yu2 of the magnetic resonance condition value, and comparing and analyzing the magnetic resonance condition value with the preset gradient reference thresholds Yu1 and Yu2, wherein the gradient reference thresholds Yu1 and Yu2 increase in a gradient manner; When the magnetic resonance overall value is greater than the preset gradient reference threshold value Yu2, a magnetic resonance good operation signal is generated and sent to the magnetic resonance system platform in the form of a label-text description for display; When the MRI status value is between the preset gradient reference thresholds Yu1 and Yu2, the MRI operates as a general signal and is sent to the MRI system platform in the form of a description of the label 2 text words for display; When the magnetic resonance overall status value is less than the preset gradient reference threshold value Yu1, it is a poor magnetic resonance operation signal. The magnetic resonance hardware estimated status value and the magnetic resonance software status value are calculated by a formula to obtain a magnetic resonance fault warning value; the magnetic resonance fault warning value is compared with the set fault warning value threshold. When the magnetic resonance fault warning value is greater than or equal to the set fault warning value threshold, it is sent to the magnetic resonance system platform for display in the form of a description of the text words in label three. When the magnetic resonance fault warning value is less than the set fault warning value threshold, it is sent to the magnetic resonance system platform for display in the form of a description of the text words in label four.

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