Intelligent Regulation Method for Electrical Equipment of Motors Based on Programmable Logic Control

Abstract

The present invention discloses an intelligent control method for electrical equipment of a motor based on editable logic control, and relates to the field of intelligent control of electrical equipment of a motor. The present invention includes verification of the influence of motor magnetic conductivity, analysis of the operation information of the AC motor, preliminary analysis of the magnetic field strength, preliminary state analysis of the motor magnetic field strength of the motor magnetic circuit structure information, magnetic field strength evaluation, determination of the motor magnetic field strength correction value of the motor magnetic circuit disturbance information, environmental anomaly analysis, determination of motor environmental anomaly of the motor environmental information, intelligent control of state determination, analysis of the motor comprehensive value, and comparison and analysis to obtain the corresponding intelligent control measures of electrical equipment of the motor with different motor comprehensive values. The present invention can comprehensively consider the influence of the magnetic conductivity of the core material, the structural magnetic conductivity and the element magnetic conductivity of the motor, and can also consider the magnetic circuit structure, and correct the magnetic field strength, and then analyze the environment in which the motor is located, so as to ensure the accuracy and timeliness of the intelligent control of the motor operation.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control of electrical equipment of motors, and in particular to an intelligent control method of electrical equipment of motors based on editable logic control. Background Art

[0002] With the continuous development of industrial production, the demand for electrical equipment is increasing. At the same time, the reliability and performance of AC motors, as the core equipment of industrial electrical equipment, are directly related to the stability and efficiency of the entire electrical work. Traditional AC motor control methods usually rely on simple digital circuits or analog circuits, which cannot achieve precise control and require manual intervention, increasing the difficulty of operation and the cost of maintenance. Intelligent control of electrical equipment based on editable logic control motors has emerged.

[0003] When traditional electrical equipment is operated with intelligent control, the parameters collected are too limited, and the electrical equipment status of the AC motor cannot be evaluated in time. The speed of the AC motor cannot be intelligently controlled, which increases the operating cost and the accident rate. Therefore, multi-layer judgment and analysis of motor operating parameters and intelligent control of the speed of motors in different states are technical problems that technical personnel in this field need to solve.

[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. The embodiment of the present invention provides an intelligent control method of an electrical device based on a motor controlled by editable logic.

[0006] The purpose of the present invention can be achieved by the following technical solution: an intelligent control method for electrical equipment of a motor based on editable logic control, comprising the following steps:

[0007] Step 1: Verify the influence of motor magnetic conductivity. Collect and analyze the operation information of the AC motor to obtain the magnetic conductivity influence factor coefficient of the motor's core material.

[0008] Step 2: preliminary analysis of magnetic field strength: preliminary state analysis of the motor magnetic field strength is performed on the AC motor magnetic circuit structure information to obtain a preliminary state value of the motor magnetic field strength;

[0009] Step 3: Magnetic field strength evaluation: determine the motor magnetic field strength correction value based on the AC motor magnetic circuit disturbance information to obtain the motor magnetic field strength evaluation value;

[0010] Step 4: Environmental abnormality analysis: determine the abnormality of the AC motor environment information and obtain the motor ring abnormality value;

[0011] Step Five: Intelligent regulation based on status determination. Analyze the comprehensive motor value by evaluating the magnetic field strength value of the motor and the abnormal value of the motor ring, and compare and analyze it with the set gradient reference interval to obtain the intelligent regulation measures for the electrical equipment corresponding to the motors with different comprehensive motor values. Further, the magnetic permeability influence factor coefficient of the iron core material of the motor specifically includes the following steps:

[0012] By obtaining the element magnetic permeability influence factor coefficient and the structural magnetic permeability influence factor coefficient of the iron core material in the operating information of the AC motor, and the appearance magnetic permeability influence factor coefficient, and calculating according to the formula, the magnetic permeability influence factor coefficient dc of the iron core material of the motor is obtained.

[0013] Further, the appearance magnetic permeability influence factor coefficient specifically includes the following steps:

[0014] Obtain the thickness of the iron core material through an ultrasonic thickness gauge, and obtain the length and width of the iron core material through a laser rangefinder. Combine them with the color deviation value of the iron core material and the patch value of the iron core material, and calculate by formula to obtain the appearance magnetic permeability influence factor coefficient wg of the iron core material.

[0015] Further, the color deviation value of the iron core material specifically includes the following steps:

[0016] Through a laser light source and a polarization accessory, use a polarization analyzer to measure the polarization state of the reflected light of the iron core material in the AC motor. Irradiate the iron core material from different angles. The polarization analyzer records the included angle and polarization degree between the polarization direction of the reflected light and the polarization direction of the incident light, and divides the iron core material into several regions. Sort the polarization included angles of each region according to the monitored time. Subtract the subsequent sorted polarization included angles from the polarization included angle ranked first in each region in turn and take the absolute value, and sum to obtain the sum of the first deviation angles. Calculate the average polarization degree pz of each region respectively, obtain the polarization degrees of each region, and mark them as pd i , where i is the polarization degree number of each region, i = 1, 2, 3...I, and according to the formula Obtain the polarization deviation value zd. Perform weighted calculation on the sum of the first deviation angles and the polarization deviation value, and multiply by the corresponding proportional factor to obtain the angular deviation value of the iron core material of each region. Compare the angular deviation value of the iron core material of each region with the set reference threshold of the angular deviation of the iron core material. When the angular deviation value of the iron core material of the region is greater than the set reference threshold, the region corresponds to a severely uneven region. When the angular deviation value of the iron core material of the region is equal to the set reference threshold, the region corresponds to a moderately uneven region. When the angular deviation value of the iron core material of the region is less than the set reference threshold, the region corresponds to a slightly uneven region. Count the numbers of the severely uneven regions, moderately uneven regions and slightly uneven regions, and perform ratio processing with the total number of regions to obtain the occupancy ratios of the severely uneven regions, moderately uneven regions and slightly uneven regions, which are marked as yj, zj and qj respectively, and according to the set formula Obtain the color deviation value ysp of the iron core material, where b1, b2, b3, b4, b5, b6, b7, b8, and b9 are set weight factors, and e is the natural constant. Further, the specific steps for the mottle value of the iron core material are as follows:

[0017] Take pictures of the iron core material in the operation information of the AC motor through a camera, perform morphological processing on the photos, select a threshold for the reference pixel value, set the pixel value to white when it is higher than the threshold and black when it is lower than the threshold, convert the processed photos into binary images, obtain the left, right, upper, and lower adjacent pixels of each pixel. When the five pixels have the same white value, they belong to the same connected region. Divide the processed image into different connected regions, assign different labels to each connected region, count the total number of marked spots in the image, calculate the pixel number of each connected region, and take the maximum pixel value of the connected region. Add up the pixel values of the connected regions and divide by the total number of marked spots to obtain the average spot pixel value. Perform weighted calculation on the maximum pixel value and the average spot pixel value of the connected region and multiply by the corresponding weight factor to obtain the mottle value bz of the iron core material. Further, the specific steps for the preliminary state value of the motor magnetic field intensity are as follows:

[0018] Obtain the number of pole pairs and the number of turns of the coils of the AC motor, and calculate the preliminary state value dcx of the motor magnetic field intensity through formula calculation with the reasonable value of the motor magnetic circuit structure and the magnetic permeability influence factor coefficient of the motor iron core material.

[0019] Further, the specific steps for the reasonable value of the motor magnetic circuit structure are as follows:

[0020] Measure the magnetic flux density value at each air gap position of the magnetic circuit of the AC motor using a fluxmeter, calculate the average magnetic flux density value through formula calculation, calculate the standard deviation value of the magnetic flux density value through formula calculation, calculate the coefficient of variation of the magnetic flux density value through formula calculation. Obtain the length and cross-sectional area of the air gap through a laser displacement sensor, and calculate the air gap magnetic resistance value of the motor according to the formula. Obtain the cross-sectional area of the iron core material through a laser displacement sensor, and analyze the iron core magnetic resistance of the motor in combination with the length of the iron core material and the magnetic permeability influence factor coefficient of the iron core material;

[0021] Analyze the coefficient of variation of the magnetic flux density value, the air gap magnetic resistance value of the motor, and the iron core magnetic resistance of the motor through formula to obtain the reasonable value of the motor magnetic circuit structure.

[0022] Further, the specific steps for the evaluation value of the motor magnetic field intensity are as follows:

[0023] Obtain the number of slots of the AC motor, analyze to obtain the harmonic suppression value yz. Take the motor as the center, obtain the distances and output powers of each device, and analyze through formula to obtain the device influence value. Calculate the harmonic suppression value and the device influence value through formula to obtain the correction value of the motor magnetic field intensity;

[0024] The preliminary state value of the motor magnetic field intensity and the corrected value of the motor magnetic field intensity are subjected to normalized processing and weighted calculation, and multiplied by the corresponding weight factor to obtain the motor magnetic field intensity evaluation value.

[0025] Further, the specific steps of the abnormal value of the motor ring are as follows:

[0026] Obtain the corrosion gas value, oxide layer value, and temperature value in the environmental information of the AC motor, and calculate through a formula to obtain the motor chemical corrosion value; obtain the air pressure value and wear value in the environmental information of the AC motor, and calculate with the motor chemical corrosion value through a formula to obtain the abnormal value dhz of the motor ring.

[0027] Further, the intelligent control measures for electrical equipment corresponding to motors with different comprehensive motor values specifically include the following steps:

[0028] Process the motor magnetic field intensity evaluation value and the abnormal value of the motor ring according to graphic construction to obtain the comprehensive motor value;

[0029] Set the gradient reference intervals Q1, Q2, and Q3 for the comprehensive motor value, and substitute each comprehensive motor value into the preset gradient reference intervals Q1, Q2, and Q3 for comparative analysis;

[0030] When the comprehensive motor value is within the preset gradient reference interval Q1, the corresponding motor is classified into the first-level speed motor set Z1; when the comprehensive motor value is within the preset gradient reference interval Q2, the corresponding motor is classified into the second-level speed motor set Z2; when the comprehensive motor value is within the preset gradient reference interval Q3, the corresponding motor is classified into the third-level speed motor set Z3;

[0031] If the motor is in the first-level speed motor set Z1, the speed of the corresponding motor is adjusted to x1 through the frequency converter electrical equipment; if the motor is in the second-level speed motor set Z2, the speed of the corresponding motor is adjusted to x2 through the frequency converter electrical equipment; if the motor is in the third-level speed motor set Z3, the speed of the corresponding motor is adjusted to x3 through the frequency converter electrical equipment, where x1 > x2 > x3.

[0032] Compared with the prior art, the beneficial effects of the present invention are:

[0033] 1. The present invention collects and analyzes the operation information of the AC motor to obtain the appearance magnetic conductivity influence factor coefficient of the motor core material and the magnetic conductivity influence factor coefficient of the motor core material, performs preliminary state analysis of the motor magnetic field strength on the AC motor magnetic circuit structure information to obtain the preliminary state value of the motor magnetic field strength, determines the motor magnetic field strength correction value on the AC motor magnetic circuit disturbance information to obtain the motor magnetic field strength evaluation value, and can comprehensively consider the color distribution state, spot distribution and appearance size of the core material, and can consider the elemental magnetic conductivity influence and structural magnetic conductivity influence of the core material, can consider the motor magnetic circuit structure information such as flux density variation, air gap magnetic resistance and core magnetic resistance, and can consider harmonic suppression and equipment influence, and can perform judgment and analysis on the motor operation parameters at multiple levels, so that the intelligent control of the motor electrical equipment is more accurate.

[0034] 2. The present invention analyzes environmental anomalies, determines motor environmental anomalies on AC motor environmental information, obtains motor ring anomaly values, and performs intelligent control on state determination. It analyzes motor comprehensive state values ​​on motor magnetic field strength assessment values ​​and motor ring anomaly values, and compares and analyzes with set gradient reference intervals to obtain intelligent control measures for electrical equipment corresponding to motors with different motor comprehensive state values. The collected environmental parameters make the intelligent control of the motor's electrical equipment more accurate, can timely evaluate the motor's electrical equipment state, and can intelligently control the motor's speed, reducing operating costs and accident rates. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] 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. Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0036] 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.

[0037] like Figure 1 As shown, the present invention provides a technical solution: an intelligent control method for electrical equipment of a motor based on editable logic control, comprising the following steps:

[0038] Step 1: Verify the influence of motor magnetic conductivity. By collecting and analyzing the operation information of the AC motor, the magnetic conductivity influence factor coefficient of the motor's core material is obtained.

[0039] Step 2: Preliminary analysis of magnetic field intensity. Collect information on the magnetic circuit structure of the AC motor, and based on this, conduct a preliminary analysis of the state of the motor's magnetic field intensity to obtain the preliminary state value of the motor's magnetic field intensity;

[0040] Step 3: Evaluation of magnetic field intensity. Collect information on the magnetic circuit disturbance of the AC motor, and based on this, determine the correction value of the motor's magnetic field intensity to obtain the evaluation value of the motor's magnetic field intensity;

[0041] Step 4: Analysis of environmental anomalies. Collect information on the environment of the AC motor, and based on this, determine the anomalies in the motor environment to obtain the value of the motor's environmental anomalies;

[0042] Step 5: Intelligent control of state determination. By receiving the evaluation value of the motor's magnetic field intensity and the value of the motor's environmental anomalies, conduct an analysis of the comprehensive state value of the motor based on this, and compare and analyze it with the set gradient reference interval to obtain the intelligent control measures for the electrical equipment corresponding to the motors with different comprehensive state values of the motor.

[0043] Among them, the specific steps of the magnetic permeability influence factor coefficient of the iron core material include the following:

[0044] Step 101: Use a polarization analyzer to measure the polarization state of the reflected light of the iron core material in the AC motor through a laser light source and a polarization accessory. Irradiate the iron core material from different angles. The polarization analyzer records the angle and degree of polarization between the polarization direction of the reflected light and the polarization direction of the incident light, and divides the iron core material into several regions. Sort the polarization angles of each region according to the monitored time. Subtract the subsequent sorted polarization angles from the polarization angle ranked first in each region in turn and take the absolute value, and sum to obtain the sum value of the first deflection angle. Calculate the average polarization degree pz of each region respectively, obtain the polarization degrees of each region, and mark them as pd i , where i is the polarization degree number of each region, i = 1, 2, 3...I, and I is the maximum value of the number. According to the formula obtain the polarization degree deviation value zd. Perform a weighted calculation on the sum value of the first deflection angle and the polarization degree deviation value, and multiply by the corresponding proportional factor to obtain the angular deviation value of the iron core material of each region. Compare the angular deviation value of the iron core material of each region with the set reference threshold of the angular deviation of the iron core material. When the angular deviation value of the iron core material of the region is greater than the set reference threshold, the region corresponds to a severely uneven region. When the angular deviation value of the iron core material of the region is equal to the set reference threshold, the region corresponds to a moderately uneven region. When the angular deviation value of the iron core material of the region is less than the set reference threshold, the region corresponds to a slightly uneven region. Count the numbers of severely uneven regions, moderately uneven regions, and slightly uneven regions, and perform a ratio process with the total number of regions to obtain the occupancy ratios of severely uneven regions, moderately uneven regions, and slightly uneven regions, which are marked as yj, zj, and qj respectively. According to the set formula Obtain the color deviation value ysp of the iron core material, where b1, b2, b3, b4, b5, b6, b7, b8, and b9 are set weight factors. Specifically, b1 > b4 > b7, b2 > b5 > b8, b3 > b6 > b9, and e is the natural constant with a value of 2.718.

[0045] Step 102: Take a photo of the iron core material in the operating information of the AC motor through a camera, perform morphological processing on the photo, select a threshold for the reference pixel value, set the pixel value to white when it is higher than the threshold and to black when it is lower than the threshold, convert the processed photo into a binary image, obtain the left, right, upper, and lower adjacent pixels of each pixel. When five pixels have the same white value, they belong to the same connected region. Divide the processed image into different connected regions, assign different labels to each connected region, count the total number of labeled spots in the image, calculate the number of pixels in each connected region, and take the maximum pixel value of the connected region. Add up the pixel values of the connected regions and divide by the total number of labeled spots to obtain the average spot pixel value. Perform a weighted calculation on the maximum pixel value and the average spot pixel value of the connected region and multiply by the corresponding weight factor to obtain the spot distribution value bz of the iron core material.

[0046] Step 103: Obtain the thickness of the iron core material through an ultrasonic thickness gauge, and obtain the length and width of the iron core material through a laser rangefinder, and label them as hd, cd, and kd respectively. Normalize them together with the color deviation value ysp of the iron core material and the spot distribution value bz of the iron core material, and calculate according to the set formula to obtain the appearance magnetic permeability influence factor coefficient wg of the iron core material, where XO1, XO2, XO3, XO4, and XO5 are the preset weight factors of the thickness, length, width, color deviation value of the iron core material, and spot distribution value of the iron core material respectively, σ is the preset correction factor, and X1 and X2 are the length reference value and width reference value of the iron core material respectively.

[0047] Step 104: Obtain the element magnetic permeability influence factor coefficient and the structure magnetic permeability influence factor coefficient of the iron core material in the operating information of the AC motor, and label them as ys and jg respectively. Combine them with the appearance magnetic permeability influence factor coefficient wg, and according to the set formula model dc = a1×wg + a2×ys + a3×jg, obtain the magnetic permeability influence factor coefficient dc of the iron core material of the motor, where a1, a2, and a3 are the set weight factors of the appearance magnetic permeability influence factor coefficient, element magnetic permeability influence factor coefficient, and structure magnetic permeability influence factor coefficient of the iron core material respectively. The weight factors are used to promote the accuracy of the calculation, and the specific values are determined by professionals in this field.

[0048] It should be noted that the magnetic permeability influence factor coefficient of the element refers to the content value of the impurity elements in the iron core material measured by atomic absorption spectrometry, and the specific impurity elements are oxygen, sulfur and phosphorus elements; the magnetic permeability influence factor coefficient of the structure refers to the number of crystal defects and grain size of the iron core material obtained by measuring the iron core material with a scanning electron microscope, dividing the number of crystal defects of the iron core material by the grain size and multiplying by a preset correction factor.

[0049] Among them, the preliminary state value of the motor magnetic field intensity specifically includes the following steps:

[0050] Step 201: Measure the magnetic flux density value cm at each air gap position of the magnetic circuit of the AC motor. n , n represents the number of the air gap position, n = 1, 2, 3... N. According to the formula the average magnetic flux density cj is obtained. According to the formula the standard deviation value cb of the magnetic flux density value is obtained. According to the formula by = cb / cj × 100%, the coefficient of variation by of the magnetic flux density value is obtained. The length and cross-sectional area of the air gap are obtained through a laser displacement sensor and are respectively marked as cd n and qh n . According to the formula the air gap magnetic resistance cz of the motor is obtained. u1 is the correction factor coefficient, and the specific value is 4π×10 7 . The cross-sectional area th of the iron core material is obtained through a laser displacement sensor, and together with the length hd of the iron core material and the magnetic permeability influence factor coefficient dc of the iron core material, they are substituted into the set formula model to obtain the iron core magnetic resistance tcz of the motor. u2 is the correction factor coefficient to ensure the accuracy of the calculation.

[0051] Step 202: Normalize the coefficient of variation by of the magnetic flux density value, the air gap magnetic resistance cz of the motor, and the iron core magnetic resistance tcz of the motor, and substitute them into the set formula to obtain the reasonable value ch l of the magnetic circuit structure of the motor. z1 is the reference value of the ratio of the air gap magnetic resistance and the iron core magnetic resistance of the motor, specifically 0.3. c1, c2, c3, c4, c5 and c6 are the set weight factors, specifically c4 > c1, c5 > c2, c6 > c3.

[0052] Step 203: Obtain the number of pole pairs and the number of turns of the coil of the AC motor, and mark them as jd and xz respectively. Then, normalize them together with the reasonable value ch l of the magnetic circuit structure of the motor and the magnetic permeability influence factor coefficient dc of the iron core material of the motor. According to the formula the preliminary state value dcx of the motor magnetic field intensity is obtained, where f1, f2, f3 and f4 are the set influence factors of the number of pole pairs of the motor, the number of turns of the coil of the motor, the reasonable value of the magnetic circuit structure of the motor, and the magnetic permeability influence factor coefficient of the iron core material of the motor respectively.

[0053] Among them, the evaluation value of the motor magnetic field intensity specifically includes the following steps:

[0054] Step 301: Obtain the number of slots cs of the AC motor. According to the set formula yz = c7 / (cs - 2×jd - A1 - A2) 2 , obtain the harmonic suppression value yz, where A1 is the winding pitch revision value, A2 is the set optimal winding pitch value, c7 is the set correction factor coefficient. Taking the motor as the center, obtain the distances and output powers of each device, and mark them as jl m and gp m , m is the device number, specifically devices such as power transformers, inverters, large cranes, etc., m = 1, 2, 3...M. According to the formula model obtain the device influence value sy, u3 is the correction factor coefficient. Normalize the harmonic suppression value yz and the device influence value sy. According to the set formula dxz = TO1×yz / T02×sy, obtain the motor magnetic field intensity correction value dxz. TO1 and T02 are the weight factors of the harmonic suppression value and the device influence value respectively, and the specific values are determined by professionals in this field. Step 302: Perform normalization processing and weighted calculation on the preliminary state value dcx of the motor magnetic field intensity and the motor magnetic field intensity correction value dxz, and multiply by the corresponding weight factors to obtain the evaluation value of the motor magnetic field intensity.

[0055] Among them, the abnormal value of the motor ring specifically includes the following steps:

[0056] Step 401: Obtain the corrosion value, air pressure value, and abrasion value in the environmental information of the AC motor, and mark them as hsz, kqy, and mzz respectively. According to the set formula model

[0057] to obtain the abnormal value dhz of the motor ring. In the formula, WO1, WO2, and WO3 are the preset weight coefficients of the corrosion value, air pressure value, and abrasion value respectively, and their values are 2.123, 1.785, and 3.236 respectively, and W1 is the set air pressure reference value.

[0058] It should be noted that the motor abrasion value is obtained by weighted calculation of the noise value and the bearing vibration value within a certain distance range of the motor and multiplying by the corresponding weight factor. The certain distance refers to 10m.

[0059] It should be pointed out that the solution process of the motor corrosion value is as follows:

[0060] Step 402: Obtain the corrosion gas value, oxide layer value, and temperature value in the environmental information of the AC motor, mark them as fqz, yhz, and dwz, perform normalization processing, and according to the set formula hsz = [AO1 × fqz + AO3 × (dwz - W2) 2 / AO2 × yhz, obtain the motor chemical corrosion value hsz, where AO1, AO2, and AO3 are the set weight factor coefficients of the corrosion gas value, oxide layer value, and temperature value respectively, and W2 is the set motor environmental temperature value.

[0061] It should be noted that the motor corrosion gas value refers to the sum of the values of chlorine, hydrogen sulfide, and salt spray in the motor environment obtained by an air quality detection instrument; the motor oxide layer value refers to the average oxide layer thickness of each monitoring point on the external surface of the motor measured by a surface analyzer, and is obtained by dividing the average oxide layer thickness by the standard deviation of the oxide layer.

[0062] Among them, the specific steps of the motor comprehensive value include the following:

[0063] Convert the motor magnetic field strength evaluation value into a length according to a certain ratio, construct an equilateral triangle with the length of the motor magnetic field strength evaluation value as the side length of the equilateral triangle, convert the motor ring abnormal value into a length according to a certain ratio, and construct a circle inside the equilateral triangle with the length of the motor ring abnormal value as the radius of the circle. The center of the equilateral triangle coincides with the center of the circle, and identify the area where the equilateral triangle and the circle do not coincide, and mark it as the motor comprehensive value.

[0064] Among them, the specific electrical equipment intelligent control measures for motors with different motor comprehensive values include the following steps:

[0065] Set the gradient reference intervals Q1, Q2, and Q3 of the motor comprehensive value, and substitute each motor comprehensive value into the preset gradient reference intervals Q1, Q2, and Q3 for comparative analysis. Among them, the interval values of Q1, Q2, and Q3 decrease in gradient;

[0066] When the motor comprehensive value is within the preset gradient reference interval Q1, then classify the corresponding motor into the first-level speed motor set Z1. When the motor comprehensive value is within the preset gradient reference interval Q2, then classify the corresponding motor into the second-level speed motor set Z2. When the motor comprehensive value is within the preset gradient reference interval Q3, then classify the corresponding motor into the third-level speed motor set Z3;

[0067] If the motor is in the first-level speed motor set Z1, then adjust the speed of the corresponding motor to x1 through the frequency converter electrical equipment. If the motor is in the second-level speed motor set Z2, then adjust the speed of the corresponding motor to x2 through the frequency converter electrical equipment. If the motor is in the third-level speed motor set Z3, then adjust the speed of the corresponding motor to x3 through the frequency converter electrical equipment, where x1 > x2 > x3.

[0068] The foregoing is a description of the invention and should not be construed as limiting thereof. Although several exemplary embodiments of the invention have been described, those skilled in the art will readily appreciate that many modifications can be made to the exemplary embodiments without departing from the novel teachings and advantages of the invention. Accordingly, all such modifications are intended to be included within the scope of the invention as defined by the claims. It should be understood that the foregoing is a description of the invention and should not be considered limited to the particular embodiments disclosed, and modifications to the disclosed embodiments as well as other embodiments are intended to be included within the scope of the appended claims. The invention is defined by the claims and their equivalents.

Claims

1. An intelligent control method for electrical equipment of a motor based on editable logic control, characterized in that: The following steps are involved: Step 1: Verify the influence of motor magnetic conductivity. Collect and analyze the operation information of the AC motor to obtain the magnetic conductivity influence factor coefficient of the motor's core material. The magnetic conductivity influence factor coefficient of the core material of the motor specifically includes the following steps: By obtaining the elemental magnetic permeability influence factor coefficient and the structural magnetic permeability influence factor coefficient of the core material in the operation information of the AC motor, and the appearance magnetic permeability influence factor coefficient, the magnetic permeability influence factor coefficient dc of the core material of the motor is calculated according to the formula; Step 2: preliminary analysis of magnetic field strength: preliminary state analysis of the motor magnetic field strength is performed on the AC motor magnetic circuit structure information to obtain a preliminary state value of the motor magnetic field strength; The preliminary state value of the motor magnetic field strength specifically includes: Obtain the number of pole pairs of the AC motor, the number of coil turns of the motor, and the reasonable value of the magnetic circuit structure of the motor and the magnetic conductivity influence factor coefficient of the motor core material, and calculate the preliminary state value dcx of the motor magnetic field strength by formula; Step 3: Magnetic field strength evaluation: determine the motor magnetic field strength correction value based on the AC motor magnetic circuit disturbance information to obtain the motor magnetic field strength evaluation value; Step 4: Environmental abnormality analysis: determine the abnormality of the AC motor environment information and obtain the motor ring abnormality value; Step 5: State determination and intelligent control. Perform motor comprehensive value analysis on the motor magnetic field strength assessment value and the motor ring abnormality value, and compare and analyze them with the set gradient reference interval to obtain intelligent control measures for electrical equipment corresponding to motors with different motor comprehensive values.

2. The method for intelligent control of electrical equipment based on editable logic control of a motor according to claim 1, characterized in that: The appearance magnetic permeability influence factor coefficient specifically includes: The thickness of the core material is obtained by an ultrasonic thickness gauge, and the length and width of the core material are obtained by a laser rangefinder. The coefficient wg of the core material's appearance magnetic conductivity influence factor is calculated by the formula based on the coefficients and the color deviation value and the distribution value of the core material.

3. The method for intelligent control of electrical equipment based on editable logic control of a motor according to claim 2, characterized in that: The core material color deviation value specifically includes: The polarization state of the light reflected from the core material in the AC motor is measured using a polarization analyzer through a laser light source and a polarization accessory. The core material is irradiated from different angles. The polarization analyzer records the angle and degree of polarization between the polarization direction of the reflected light and the polarization direction of the incident light, and the core material is divided into several regions. The polarization angles of each region are sorted according to the monitoring time. The polarization angles ranked first in each region are subtracted from the polarization angles ranked subsequently and the absolute values ​​are taken. The sum of the first polarization angles is obtained, and the average degree of polarization pz of each region is calculated respectively to obtain the degree of polarization of each region, which is marked as pd. i , i is the polarization degree number of each area, i=1, 2, 3...I, according to the formula , get the vibration deviation zd, perform weighted calculation on the first deviation angle sum and the vibration deviation value, and multiply them by the corresponding proportional factor to get the core material angle offset value of each area, compare the core material angle offset value of each area with the set core material angle offset reference threshold, when the core material angle offset value of the area is greater than the set reference threshold, then the area corresponds to a severe uneven area, when the core material angle offset value of the area is equal to the set reference threshold, then the area corresponds to a moderate uneven area, when the core material angle offset value of the area is less than the set reference threshold, then the area corresponds to a slightly uneven area, count the number of severe uneven areas, moderate uneven areas and slightly uneven areas, and perform ratio processing with the total number of areas to get the proportion of severe uneven areas, moderate uneven areas and slightly uneven areas, marked as yj, zj and qj respectively, according to the set formula , and obtain the color deviation value ysp of the core material, where b1, b2, b3, b4, b5, b6, b7, b8 and b9 are the set weight factors, and e is a natural constant.

4. The method for intelligent control of electrical equipment based on editable logic control of a motor according to claim 3, characterized in that: The speckle value of the core material specifically includes: The operation information of the AC motor is photographed by a camera, and the photos are morphologically processed. A threshold of a reference pixel value is selected. When the pixel value is higher than the threshold, it is set to white, and when it is lower than the threshold, it is set to black. The processed photos are converted into binary images, and the left, right, upper and lower adjacent pixels of each pixel are obtained. When five pixels have the same white value, they belong to the same connected area. The processed image is divided into different connected areas, and different marks are assigned to each connected area. The total number of marked spots in the image is counted, the number of pixels in each connected area is calculated, and the maximum pixel value of the connected area is taken. The pixel values ​​of the connected areas are added and divided by the total number of marked spots to obtain the average spot pixel value. The maximum pixel value and the average spot pixel value of the connected area are weighted and multiplied by the corresponding weight factor to obtain the spotted value bz of the core material.

5. The method for intelligent control of electrical equipment based on editable logic control of a motor according to claim 1, characterized in that: The reasonable values ​​of the magnetic circuit structure of the motor specifically include: The flux meter is used to measure the magnetic flux density value at each air gap position of the magnetic circuit of the AC motor, and the formula is used to calculate the mean value of the magnetic flux density. The formula is used to calculate the standard deviation value of the magnetic flux density value. The formula is used to calculate the coefficient of variation of the magnetic flux density value. The length of the air gap and the cross-sectional area of ​​the air gap are obtained by a laser displacement sensor. The formula is used to calculate the air gap magnetic resistance value of the motor. The cross-sectional area of ​​the core material is obtained by a laser displacement sensor, and the core magnetic resistance of the motor is obtained by analyzing the cross-sectional area of ​​the core material and the core material length and the core material magnetic conductivity influence factor coefficient. The coefficient of variation of the magnetic flux density, the air gap magnetic resistance value of the motor and the magnetic core magnetic resistance formula of the motor are analyzed to obtain the reasonable value of the magnetic circuit structure of the motor.

6. The method for intelligent control of electrical equipment based on editable logic control of a motor according to claim 1, characterized in that: The motor magnetic field strength evaluation value specifically includes: Get the number of slots of the AC motor, analyze and get the harmonic suppression value yz, take the motor as the center, get the distance and output power of each device, analyze the formula to get the device impact value, calculate the harmonic suppression value and device impact value formula to get the motor magnetic field strength correction value; The preliminary state value of the motor magnetic field strength and the correction value of the motor magnetic field strength are normalized and weighted, and multiplied by the corresponding weight factor to obtain the motor magnetic field strength evaluation value.

7. The method for intelligent control of electrical equipment based on editable logic control of a motor according to claim 1, characterized in that: The motor ring abnormality value specifically includes: Obtain the corrosion value, oxidation layer value, and temperature value from the environmental information of the AC motor, calculate the motor corrosion value by formula; The air pressure value and wear value in the environmental information of the AC motor are obtained, and the motor corrosion value is calculated by formula to obtain the motor ring abnormality value dhz.

8. The method for intelligent control of electrical equipment based on editable logic control of a motor according to claim 1, characterized in that: The intelligent control measures for electrical equipment corresponding to motors with different motor status values ​​specifically include: The motor magnetic field strength evaluation value and the motor ring abnormality value are processed according to the graph construction to obtain the motor comprehensive value; Set the gradient reference intervals Q1, Q2, and Q3 of the motor state value, and substitute each motor state value into the preset gradient reference intervals Q1, Q2, and Q3 for comparative analysis; When the motor comprehensive state value is within the preset gradient reference interval Q1, the corresponding motor is classified into the first-level speed motor set Z1; when the motor comprehensive state value is within the preset gradient reference interval Q2, the corresponding motor is classified into the second-level speed motor set Z2; when the motor comprehensive state value is within the preset gradient reference interval Q3, the corresponding motor is classified into the third-level speed motor set Z3; If the motor is in the first-level speed motor set Z1, the corresponding motor speed is adjusted to x1 through the inverter electrical equipment. If the motor is in the second-level speed motor set Z2, the corresponding motor speed is adjusted to x2 through the inverter electrical equipment. If the motor is in the third-level speed motor set Z3, the corresponding motor speed is adjusted to x3 through the inverter electrical equipment, where x1>x2>x3.

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