Electrical equipment intelligent regulation and control method of motor based on editable logic control

Abstract

The invention discloses a motor electrical equipment intelligent regulation and control method based on editable logic control, and relates to the field of motor electrical equipment intelligent regulation and control. The method comprises the steps of motor magnetic conduction influence verification, analysis of operation information of an alternating current motor, preliminary analysis of magnetic field intensity, preliminary state analysis of the magnetic field intensity of the motor on magnetic circuit structure information of the motor, magnetic field intensity evaluation, correction value judgment of the magnetic field intensity of the motor on magnetic circuit disturbance information of the motor, and environmental abnormity analysis. According to the method, motor environment abnormity judgment, state judgment and intelligent regulation and control are carried out on the motor environment information, motor comprehensive value analysis is carried out, and intelligent regulation and control measures of electrical equipment corresponding to motors with different motor comprehensive values are obtained through comparative analysis, so that the influence of iron core material magnetic conduction, structure magnetic conduction and element magnetic conduction of the motors can be comprehensively considered, and a magnetic circuit structure can also be considered; and the magnetic field intensity is corrected, and the environment where the motor is located is analyzed, so that the accuracy and timeliness of intelligent regulation and control of motor operation are ensured.

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 5: Intelligent control of state determination, analyze the motor comprehensive value of the motor magnetic field strength evaluation value and the motor ring abnormal value, and compare and analyze with the set gradient reference interval to obtain the corresponding electrical equipment intelligent control measures for motors with different motor comprehensive values. Furthermore, the magnetic permeability influence factor coefficient of the motor core material specifically includes the following steps:

[0012] 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.

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

[0014] 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.

[0015] Furthermore, the color deviation of the core material specifically includes the following steps:

[0016] 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, and multiply 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, 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, 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, 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 The color deviation value ysp of the core material is obtained, wherein b1, b2, b3, b4, b5, b6, b7, b8 and b9 are set weight factors, and e is a natural constant. Further, the color deviation value of the core material specifically includes the following steps:

[0017] 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 spot value bz of the core material. Further, the preliminary state value of the motor magnetic field strength specifically includes the following steps:

[0018] The pole pairs and coil turns of the AC motor are obtained, and the preliminary state value dcx of the motor magnetic field strength is calculated by the formula based on the reasonable value of the motor magnetic circuit structure and the magnetic conductivity influence factor coefficient of the motor core material.

[0019] Furthermore, the reasonable value of the magnetic circuit structure of the motor specifically includes the following steps:

[0020] 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. According to the formula, the air gap magnetic resistance value of the motor is obtained. 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 analysis of the core material length and the core material magnetic conductivity influence factor coefficient.

[0021] 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.

[0022] Furthermore, the motor magnetic field strength evaluation value specifically includes the following steps:

[0023] 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;

[0024] 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.

[0025] Furthermore, the motor ring abnormal value specifically includes the following steps:

[0026] The corrosion value, oxide layer value and temperature value in the environmental information of the AC motor are obtained, and the motor corrosion value is obtained by formula calculation; the air pressure value and wear value in the environmental information of the AC motor are obtained, and the motor corrosion value is obtained by formula calculation to obtain the motor ring abnormality value dhz.

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

[0028] 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;

[0029] 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;

[0030] 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;

[0031] 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.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[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 figure is a flow chart of the method of the present invention. 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 strength, by collecting the AC motor magnetic circuit structure information, and based on this, performing preliminary state analysis of the motor magnetic field strength, to obtain a preliminary state value of the motor magnetic field strength;

[0040] Step 3: Magnetic field strength assessment, collect the AC motor magnetic circuit disturbance information, determine the motor magnetic field strength correction value based on it, and obtain the motor magnetic field strength assessment value;

[0041] Step 4: Environmental abnormality analysis: by collecting the AC motor environmental information, the motor environment abnormality is judged based on it, and the motor ring abnormality value is obtained;

[0042] Step 5: State determination and intelligent control. By receiving the motor magnetic field strength evaluation value and the motor ring abnormality value, the motor comprehensive value analysis is performed based on this, and compared with the set gradient reference interval, the corresponding electrical equipment intelligent control measures for motors with different motor comprehensive value are obtained.

[0043] The magnetic conductivity influence factor coefficient of the core material specifically includes the following steps:

[0044] Step 101: Use a polarization analyzer with a laser light source and a polarization accessory to measure the polarization state of the light reflected from the core material in the AC motor. Irradiate the 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. 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. The average degree of polarization pz of each region is calculated respectively, and the degree of polarization of each region is obtained, which is marked as pd. i , i is the polarization degree number of each area, i = 1, 2, 3...I, I is the maximum number, according to the formula Get the vibration deviation zd, perform weighted calculation on the first deviation angle sum and the vibration deviation, and multiply 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, 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, 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, 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 The color deviation value ysp of the core material is obtained, 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 a natural constant with a value of 2.718.

[0045] Step 102: photograph the core material in the operation information of the AC motor through a camera, and perform morphological processing on the photo, select a threshold value of a reference pixel value, set the pixel value to white when it is higher than the threshold value, and set it to black when it is lower than the threshold value, convert the processed photo into a binary image, obtain the left, right, top and bottom adjacent pixels of each pixel, and when five pixels have the same white value, they belong to the same connected area, divide the processed image into different connected areas, and assign different marks to each connected area, count the total number of marked spots in the image, calculate the number of pixels in each connected area, and take the maximum pixel value of the connected area, add the pixel values ​​of the connected area, divide it by the total number of marked spots, and obtain the average spot pixel value, perform weighted calculation on the maximum pixel value and the average spot pixel value of the connected area, and multiply it by the corresponding weight factor to obtain the bz of the core material.

[0046] Step 103: 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, and are marked as hd, cd, and kd, respectively. The core material color deviation value ysp and the core material spot value bz are normalized, and the set formula is used. The coefficient of influence factor of the core material's appearance magnetic permeability wg is calculated, where XO1, XO2, XO3, XO4 and XO5 are respectively the preset weight factors of the core material's thickness, length, width, core material color deviation value and core material's mottled value, σ is the preset correction factor, and X1 and X2 are respectively the length reference value and width reference value of the core material.

[0047] Step 104: 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 marking them as ys and jg respectively, and the appearance magnetic permeability influence factor coefficient wg, according to the set formula model dc=a1×wg+a2×ys+a3×jg, the magnetic permeability influence factor coefficient dc of the core material of the motor is obtained, wherein a1, a2 and a3 are set weight factors of the appearance magnetic permeability influence factor coefficient, the elemental magnetic permeability influence factor coefficient and the structural magnetic permeability influence factor coefficient of the core material respectively, and the weight factors are used to improve the accuracy of the calculation, and the specific values ​​are determined by personnel in this professional field.

[0048] It should be noted that the elemental magnetic permeability influence factor coefficient refers to the impurity element content value of the core material determined by atomic absorption spectroscopy, and the specific impurity elements are oxygen, sulfur and phosphorus; the structural magnetic permeability influence factor coefficient refers to the number of crystal defects and grain size of the core material obtained by measuring the core material through a scanning electron microscope, and the number of crystal defects of the core material is divided by the grain size and multiplied by a preset correction factor.

[0049] The preliminary state value of the motor magnetic field strength specifically includes the following steps:

[0050] Step 201: Use a fluxmeter to 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 Get the mean value of magnetic flux density cj, according to the formula The standard deviation of the magnetic flux density cb is obtained, and the coefficient of variation of the magnetic flux density by is obtained according to the formula by=cb / cj×100%. The length of the air gap and the cross-sectional area of ​​the air gap are obtained by the laser displacement sensor and marked as cd respectively. n and qh n , according to the formula The air gap magnetic resistance value cz of the motor is obtained, and u1 is the correction factor coefficient, the specific value is 4π×10 7 The cross-sectional area th of the core material is obtained through the laser displacement sensor, and the core material length hd and the core material magnetic conductivity influence factor coefficient dc are substituted into the set formula model. The motor core magnetic resistance tcz is obtained, and u2 is the correction factor coefficient to ensure the accuracy of the calculation.

[0051] Step 202: Normalize the flux density value variation coefficient by, the air gap magnetic resistance value cz of the motor, and the core magnetic resistance tcz of the motor, and substitute them into the set formula The reasonable value ch l of the magnetic circuit structure of the motor is obtained, z1 is the reference value of the ratio of the air gap magnetic resistance value of the motor to 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 of the AC motor and the number of coil turns of the motor, and mark them as jd and xz respectively, and normalize them with the reasonable value of the magnetic circuit structure of the motor ch l and the magnetic conductivity influence factor coefficient dc of the motor core material, according to the formula The preliminary state value dcx of the motor magnetic field strength is obtained, where f1, f2, f3 and f4 are respectively the setting influence factors of the number of motor pole pairs, the number of motor coil turns, the reasonable value of the motor magnetic circuit structure and the magnetic conductivity influence factor coefficient of the motor core material.

[0053] The motor magnetic field strength evaluation value 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 , get 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, and the distance and output power of each device are obtained with the motor as the center, marked as jl m and gp m , m is the number of the equipment, specifically power transformers, inverters, large cranes and other equipment, m = 1, 2, 3...M, according to the formula model The equipment influence value sy is obtained, u3 is the correction factor coefficient, the harmonic suppression value yz and the equipment influence value sy are normalized, and according to the set formula dxz=TO1×yz / T02×sy, the motor magnetic field strength correction value dxz is obtained, TO1 and T02 are the weight factors of the harmonic suppression value and the equipment influence value, respectively, and the specific values ​​are determined by personnel in this professional field. Step 302: The motor magnetic field strength preliminary state value dcx and the motor magnetic field strength correction value dxz are normalized and weighted, and multiplied by the corresponding weight factor to obtain the motor magnetic field strength evaluation value.

[0055] The motor ring abnormal value specifically includes the following steps:

[0056] Step 401: Obtain the corrosion value, air pressure value and wear 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 motor ring abnormality value dhz, where WO1, WO2 and WO3 are the preset weight coefficients of corrosion value, air pressure value and wear 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 wear value refers to the weighted calculation of the motor noise value and the bearing vibration value within a certain distance range and multiplied by the corresponding weight factor. The certain distance refers to 10m.

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

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

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

[0062] The motor status value specifically includes the following steps:

[0063] The motor magnetic field strength evaluation value is converted into a length according to a certain ratio, and an equilateral triangle is constructed with the length of the motor magnetic field strength evaluation value as the side length of the equilateral triangle; the motor ring anomaly value is converted into a length according to a certain ratio, and a circle is constructed within the equilateral triangle with the length of the motor ring anomaly value as the radius of the circle, wherein the center of the equilateral triangle coincides with the center of the circle; the area where the equilateral triangle and the circle do not overlap is identified and marked as the motor overall condition value.

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

[0065] 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, wherein the interval values ​​of Q1, Q2, and Q3 decrease in a gradient manner;

[0066] 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;

[0067] 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.

[0068] 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. 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. 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; 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 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.

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 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.

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 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.

5. 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.

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 preliminary state value of the motor magnetic field strength specifically includes: The pole pairs and coil turns of the AC motor are obtained, and the preliminary state value dcx of the motor magnetic field strength is calculated by the formula based on the reasonable value of the motor magnetic circuit structure and the magnetic conductivity influence factor coefficient of the motor core material.

7. The method for intelligent control of electrical equipment based on editable logic control of a motor according to claim 6, 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.

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 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.

9. 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.

10. 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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