Electric power oil purification monitoring method and device

Abstract

The invention provides an electric power oil purification monitoring method and device, and belongs to the field of electric power oil. The method comprises the following steps: respectively acquiring original color card Lab data acquired by a color sensor for a plurality of different standard color cards; based on the original color card Lab data, the data acquisition deviation of the color sensor is determined; if the data acquisition deviation is greater than a preset deviation value, determining a data correction function corresponding to the color sensor based on the original color card Lab data; original oil product Lab data collected by the color sensor for oil products in the oil purification system are obtained; determining corrected oil product Lab data based on the original oil product Lab data and the data correction function; and when the corrected oil product Lab data reach preset standard data, controlling the oil purification system to finish oil purification work. According to the invention, the purification effect analysis process in electric oil purification can be simplified, and the monitoring precision of the electric oil purification effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power oil, and in particular to a method and device for monitoring electric power oil purification. Background Art

[0002] Power oil refers to the oil used in various power oil-filled equipment and mechanical devices in the power system, mainly including insulating oil (such as transformer oil), fire-resistant oil, turbine oil, cable oil, etc. As the operation time of power oil-filled equipment continues to increase and aging increases, the oxidation products and mechanical impurities in the power oil continue to increase, and the performance deteriorates. In severe cases, it may cause power oil-filled equipment to malfunction and affect the safe operation of the power grid system.

[0003] In the related technologies, most of them use oil purification systems to purify the oil used for power regularly to remove pollutants such as oxidation products and mechanical impurities. Among them, users can sample the oil in the oil purification system and analyze the particle size, moisture, gas content and other indicators in the oil sample to detect the oil purification effect. After it is determined that the oil purification effect meets the standard, the oil purification work is completed.

[0004] However, the process of sampling and analyzing indicators such as particle size, moisture, and gas content is relatively complicated, and the analysis results are easily affected by external factors, resulting in the sampling and analysis results being unable to accurately reflect the purification effect. In summary, the existing power oil purification monitoring methods have the problems of cumbersome analysis process and poor monitoring accuracy. Summary of the invention

[0005] The embodiments of the present invention provide a method and device for monitoring the purification of electric power oil, so as to solve the problems of complicated analysis process and poor monitoring accuracy in the method for monitoring the purification of electric power oil.

[0006] In a first aspect, an embodiment of the present invention provides a method for monitoring power oil purification, which is applied to an oil purification system, wherein a color sensor is provided in the oil purification system; the method comprises:

[0007] Respectively obtaining the original color card Lab data collected by the color sensor for a plurality of different standard color cards;

[0008] Determining the data acquisition deviation of the color sensor based on the original color card Lab data;

[0009] If the data acquisition deviation is greater than the preset deviation value, a data correction function corresponding to the color sensor is determined based on the original color card Lab data; the data correction function is used to characterize the mathematical relationship between the original Lab data collected by the color sensor and the corrected Lab data after the data correction is completed;

[0010] Obtain the original Lab data of the oil collected by the color sensor on the oil in the oil purification system;

[0011] Determining corrected oil product Lab data based on the original oil product Lab data and the data correction function;

[0012] When the Lab data of the calibrated oil product reaches the preset standard data, the oil purification system is controlled to end the oil purification work.

[0013] In a possible implementation, if the data acquisition deviation is greater than a preset deviation value, determining a data correction function corresponding to the color sensor based on the original color card Lab data includes:

[0014] If the data collection deviation is greater than a preset deviation value, obtaining the standard color card Lab data corresponding to the multiple different standard color cards;

[0015] Calculating the correlation coefficient between the original color card Lab data and the standard color card Lab data;

[0016] If the correlation coefficient is greater than or equal to a preset correlation threshold, determining a data correction function corresponding to the color sensor based on the original color card Lab data and the standard color card Lab data;

[0017] If the correlation coefficient is less than the preset correlation threshold, an alarm message is sent to prompt the user that the color sensor has failed. In a possible implementation, the data correction function includes: a data correction formula corresponding to at least one correction; the data correction formula is: N = b + k × M;

[0018] Wherein, N represents the Lab data after data correction, b represents the first parameter, k represents the second parameter, and M represents the Lab data before data correction;

[0019] Determining a data correction function corresponding to the color sensor based on the original color card Lab data and the standard color card Lab data includes:

[0020] Determine the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction based on the standard color card Lab data and the original color card Lab data;

[0021] Determine the corrected color card Lab data after the current correction based on the original color card Lab data and the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction;

[0022] Detecting the correction deviation of the correction color card Lab data;

[0023] When the correction deviation is greater than the set threshold, the corrected color card Lab data after the current correction is determined as the original color card Lab data, and the step of determining the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction based on the standard color card Lab data and the original color card Lab data is jumped to perform the next correction, until the correction deviation is less than or equal to the set threshold, and the values ​​of the first parameter and the second parameter in the data correction formula corresponding to each correction are obtained;

[0024] The data correction function is determined according to the values ​​of the first parameter and the second parameter in the data correction formula corresponding to each correction.

[0025] In a possible implementation, based on the standard color card Lab data and the original color card Lab data, determining the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction includes:

[0026] Determine the standard average value corresponding to the standard color card Lab data and the original average value corresponding to the original color card Lab data respectively;

[0027] Determine a value of the second parameter based on a first difference between the standard color card Lab data and the standard average value, and a second difference between the original color card Lab data and the original average value;

[0028] The value of the first parameter is determined based on the standard average value, the original average value and the value of the second parameter.

[0029] In a possible implementation, determining the value of the second parameter based on a first difference between the standard color card Lab data and the standard average value, and a second difference between the original color card Lab data and the original average value includes:

[0030] according to Determining a value of the second parameter;

[0031] Wherein, k represents the second parameter, represents the second difference, m represents the original color card Lab data, represents the original average value corresponding to the original color card Lab data, represents the first difference, n represents the standard color card Lab data, Indicates the standard average value corresponding to the standard color card Lab data.

[0032] In a possible implementation manner, determining the value of the first parameter based on the standard average value, the original average value, and the value of the second parameter includes:

[0033] Determine the value of the first parameter according to b=nk×m;

[0034] Among them, b represents the first parameter, n represents the standard average value corresponding to the standard color card Lab data, k represents the second parameter, and m represents the original average value corresponding to the original color card Lab data.

[0035] In a possible implementation, each standard color card corresponds to a set of original color card Lab data, and the original color card Lab data is multiple sets;

[0036] Determining the data acquisition deviation of the color sensor based on the original color card Lab data includes:

[0037] according to determining a data collection bias of the color sensor;

[0038] Wherein, Δ represents the data collection deviation, m represents the original color card Lab data, m represents the original average value corresponding to the original color card Lab data, and I represents the number of the original color card Lab data.

[0039] In a possible implementation, the calculating the correlation coefficient between the original color card Lab data and the standard color card Lab data includes:

[0040] according to Calculating the correlation coefficient between the original color card Lab data and the standard color card Lab data;

[0041] Among them, r represents the correlation coefficient, m represents the original color card Lab data, m represents the original average value corresponding to the original color card Lab data, n represents the standard color card Lab data, and n represents the standard average value corresponding to the standard color card Lab data.

[0042] In a possible implementation, the corrected oil product Lab data includes: corrected brightness component data, corrected red to green component color data, and corrected yellow to blue component color data; the standard data includes: standard brightness component data, standard red to green component color data, and standard yellow to blue component color data;

[0043] When the Lab data of the corrected oil product reaches the preset standard data, the oil purification system is controlled to end the oil purification work, including:

[0044] When the corrected brightness component data is equal to the standard brightness component data, the corrected red to green component color data is equal to the standard red to green component color data, and the corrected yellow to blue component color data is equal to the standard yellow to blue component color data, the oil purification system is controlled to end the oil purification work.

[0045] In a second aspect, an embodiment of the present invention provides a power oil purification monitoring device, which is applied to an oil purification system, wherein a color sensor is provided in the oil purification system; the device comprises:

[0046] Correction module for:

[0047] Respectively obtaining the original color card Lab data collected by the color sensor for a plurality of different standard color cards;

[0048] Determining the data acquisition deviation of the color sensor based on the original color card Lab data;

[0049] If the data acquisition deviation is greater than the preset deviation value, a data correction function corresponding to the color sensor is determined based on the original color card Lab data; the data correction function is used to characterize the mathematical relationship between the original Lab data collected by the color sensor and the corrected Lab data after the data correction is completed;

[0050] The monitoring module is used to obtain the original oil product Lab data collected by the color sensor on the oil products in the oil purification system;

[0051] Control module for:

[0052] Determining corrected oil product Lab data based on the original oil product Lab data and the data correction function;

[0053] When the Lab data of the calibrated oil product reaches the preset standard data, the oil purification system is controlled to end the oil purification work.

[0054] The embodiment of the present invention provides a method and device for monitoring the purification of electric oil. By setting a color sensor inside the oil purification system, the original oil product Lab data of the oil inside the oil purification system can be collected, and then the data correction function is used to correct the original oil product Lab data to obtain the corrected oil product Lab data. Subsequently, the oil purification effect is detected by detecting whether the corrected oil product Lab data reaches the standard data, thereby controlling the oil purification system to end the oil purification work in time. Among them, the present application detects the oil purification effect through the color space information of Lab data, which can effectively simplify the sampling and analysis process and is not easily affected by external factors. In addition, the present application also determines the data collection deviation of the color sensor by using the original color card Lab data collected by the standard color card through the color sensor, and when the data collection deviation is greater than the preset deviation value, the data correction function is determined using the original color card data to achieve data correction for the color sensor, thereby further improving the data collection accuracy of the color sensor, and then improving the monitoring accuracy of the oil purification effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 This is a flow chart of an implementation method of a power oil purification monitoring method provided by an embodiment of the present invention;

[0057] Figure 2 is a flow chart of an implementation method of a power oil purification monitoring method provided by another embodiment of the present invention;

[0058] Figure 3 is a flow chart for implementing a data correction function according to an embodiment of the present invention;

[0059] Figure 4 It is a structural schematic diagram of an electric oil purification monitoring device provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0060] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0061] In the related art, when using the oil purification system to purify the oil used for power generation, the oil purification effect is mostly detected by sampling the oil in the oil purification system and analyzing the particle size, moisture, gas content and other indicators in the oil sample. After it is determined that the oil purification effect meets the standard, the oil purification system is controlled to end the oil purification operation. However, the process of sampling and analyzing the particle size, moisture, gas content and other indicators is relatively complicated, and the analysis results are easily affected by external factors, resulting in the sampling and analysis results being unable to accurately reflect the purification effect.

[0062] In order to simplify the analysis process of the oil purification effect and improve the monitoring accuracy of the oil purification effect, in the implementation of the present application, by setting a color sensor inside the oil purification system, the original oil product Lab data of the oil inside the oil purification system can be collected, and the original oil product Lab data can be corrected by using a data correction function, and the oil purification effect can be detected by detecting whether the corrected oil product Lab data reaches the standard data. Among them, the present application detects the oil purification effect through the color space information of Lab data, which can effectively simplify the sampling and analysis process and is not easily affected by external factors. In addition, the present application also determines the data correction function for the original color card Lab data collected by the standard color card through the color sensor to achieve data correction for the color sensor, thereby further improving the data collection accuracy of the color sensor, and then improving the monitoring accuracy of the oil purification effect.

[0063] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0064] Figure 1 The present invention provides a flowchart of a method for monitoring the purification of electric power oil. The method is applied to an oil purification system, and a color sensor is provided in the oil purification system. The method is described in detail as follows:

[0065] Step 101 : respectively obtain the original color card Lab data collected by the color sensor for a plurality of different standard color cards.

[0066] Lab data refers to the Lab color space, which includes: brightness component data L*, color data a* of red to green components, and color data b* of yellow to blue components. The color sensor uses Lab data to characterize the color it collects. The color sensor here can be a colorimeter.

[0067] In the embodiment of the present invention, the original color card Lab data collected by the color sensor for multiple different standard color cards is first used to detect whether the data collection deviation of the color sensor exceeds the preset deviation value. Here, each standard color card corresponds to a set of original color card Lab data.

[0068] Step 102: Determine the data collection deviation of the color sensor based on the original color card Lab data.

[0069] In some embodiments, the Determine data collection bias of color sensors;

[0070] Among them, Δ represents the data collection deviation, m represents the original color card Lab data, It represents the original average value corresponding to the original color card Lab data, and I represents the number of original color card Lab data.

[0071] It should be noted that the original color card Lab data includes three parts of data: brightness component data, color data from red to green components, and color data from yellow to blue components. When calculating the data acquisition deviation, the embodiment of the present invention can calculate the brightness component data acquisition deviation corresponding to the brightness component data, the red to green component color data acquisition deviation corresponding to the red to green component color data, and the yellow to blue component color data acquisition deviation corresponding to the yellow to blue component color data according to the above data acquisition deviation calculation formula.

[0072] The brightness component data in the original color card Lab data and the original average value corresponding to the brightness component data in the original color card Lab data are substituted into the above data acquisition deviation formula to obtain the brightness component data acquisition deviation. The calculation method of the color data acquisition deviation from the red to green component and the color data acquisition deviation from the yellow to blue component is similar, and will not be repeated here.

[0073] Step 103: If the data collection deviation is greater than the preset deviation value, a data correction function corresponding to the color sensor is determined based on the original color card Lab data.

[0074] Here, the data correction function is used to represent the mathematical relationship between the original Lab data collected by the color sensor and the corrected Lab data after the data correction is completed.

[0075] According to the above, the data acquisition deviation includes: brightness component data acquisition deviation, red to green component color data acquisition deviation and yellow to blue component color data acquisition deviation. Correspondingly, the data correction function may include: brightness component data correction function, red to green component color data correction function and yellow to blue component color data correction function.

[0076] Among them, the brightness component data correction function is used to characterize the mathematical relationship between the brightness component data in the original Lab data and the brightness component data in the corrected Lab data after the data correction is completed. The color data correction function of the red to green component is used to characterize the mathematical relationship between the color data of the red to green component in the original Lab data and the color data of the red to green component in the corrected Lab data after the data correction is completed. The color data correction function of the yellow to blue component is used to characterize the mathematical relationship between the color data of the yellow to blue component in the original Lab data and the color data of the yellow to blue component in the corrected Lab data after the data correction is completed.

[0077] On this basis, the above step 103 can be expressed as:

[0078] If the brightness component data acquisition deviation is greater than the preset deviation value, a brightness component data correction function corresponding to the brightness component data is determined based on the brightness component data in the original color card Lab data;

[0079] If the color data collection deviation of the red to green component is greater than the preset deviation value, determining the color data correction function of the red to green component corresponding to the color data of the red to green component based on the color data of the red to green component in the original color card Lab data;

[0080] If the color data collection deviation of the yellow to blue component is greater than the preset deviation value, a color data correction function of the yellow to blue component corresponding to the color data of the yellow to blue component is determined based on the color data of the yellow to blue component in the original color card Lab data.

[0081] In some embodiments, if the brightness component data collection deviation, the red to green component color data collection deviation, and the yellow to blue component color data collection deviation are all less than or equal to the preset deviation value, the color sensor is directly controlled to collect the original oil product Lab data of the oil in the oil purification system, and when the original oil product Lab data reaches the preset standard data, the oil purification system is controlled to end the oil purification work.

[0082] Here, the preset deviation value may be determined according to actual conditions, and the embodiment of the present invention does not specifically limit this.

[0083] Step 104, obtaining the original oil product Lab data collected by the color sensor on the oil products in the oil purification system.

[0084] Step 105: Determine corrected oil product Lab data based on the original oil product Lab data and the data correction function.

[0085] During the operation of the oil purification system, the embodiment of the present invention can obtain the original oil product Lab data collected by the color sensor, and respectively introduce the brightness component data, the color data of the red to green component, and the color data of the yellow to blue component in the original oil product Lab data into the above-mentioned brightness component data correction function, the color data correction function of the red to green component, and the color data correction function of the yellow to blue component to perform data correction, and correspondingly obtain the corrected brightness component data, the corrected red to green component color data, and the corrected yellow to blue component color data after the data correction.

[0086] Step 106, when the calibrated oil product Lab data reaches the preset standard data, the oil purification system is controlled to end the oil purification work.

[0087] The color of power oil is also one of the important features for judging the oil quality, and the relevant industry standards use chromaticity to constrain it. The embodiment of the present invention can convert the chromaticity value corresponding to power oil required by the relevant industry standards into Lab data representation, and use it as standard data for detecting the oil purification effect.

[0088] For example, GB / T 14542-2017 "Guidelines for the Maintenance and Management of Transformer Oil" characterizes the color of transformer oil using 17 different chromaticity values, including: 0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5 and 8.0. And it is required that the chromaticity value of transformer oil in operation is ≤2.0. Accordingly, the embodiment of the present invention can respectively determine the Lab data corresponding to the chromaticity values ​​0, 0.5, 1.0, 1.5 and 2.0, which is used to detect the oil purification effect of transformer oil.

[0089] That is to say, the Lab data corresponding to any chromaticity value ≤2.0 can be used as standard data. When the Lab data of the corrected oil product is equal to the standard data, it is determined that the oil purification effect meets the standard.

[0090] In some embodiments, the corrected oil product Lab data includes: corrected brightness component data, corrected red to green component color data, and corrected yellow to blue component color data. Standard data includes: standard brightness component data, standard red to green component color data, and standard yellow to blue component color data.

[0091] When the corrected brightness component data is equal to the standard brightness component data, the corrected red to green component color data is equal to the standard red to green component color data, and the corrected yellow to blue component color data is equal to the standard yellow to blue component color data, the oil purification system is controlled to end the oil purification work.

[0092] Compared with the prior art, the embodiment of the present invention can collect the original oil product Lab data of the oil product inside the oil purification system by setting a color sensor inside the oil purification system, and then use the data correction function to perform data correction on the original oil product Lab data to obtain the corrected oil product Lab data, and then detect the oil purification effect by detecting whether the corrected oil product Lab data reaches the standard data, thereby controlling the oil purification system to end the oil purification work in time. Among them, the present application uses the color space information of Lab data to detect the oil purification effect, which can effectively simplify the sampling and analysis process and is not easily affected by external factors. In addition, the present application also determines the data collection deviation of the color sensor by using the original color card Lab data collected by the standard color card through the color sensor, and when the data collection deviation is greater than the preset deviation value, uses the original color card data to determine the data correction function to achieve data correction for the color sensor, thereby further improving the data collection accuracy of the color sensor, and then improving the monitoring accuracy of the oil purification effect.

[0093] In addition, the embodiment of the present invention can perform data correction on the raw data collected by the color sensor in real time based on the above-mentioned data correction function to improve its data collection accuracy, thereby realizing self-calibration of the color sensor without the need to regularly send the color sensor to the Metrology Institute for inspection and calibration, thereby effectively reducing the calibration cost of the color sensor, avoiding complicated inspection processes, and truly realizing real-time online monitoring of the oil purification system.

[0094] To avoid the situation where the data correction function cannot be accurately determined due to a color sensor failure. Figure 2 , the method specifically comprises:

[0095] Step 201 : respectively obtain the original color card Lab data collected by the color sensor for a plurality of different standard color cards.

[0096] Step 202: Determine the data collection deviation of the color sensor based on the original color card Lab data.

[0097] Step 201-The specific implementation of step 201 can be found in the above Figure 1 The corresponding embodiments will not be described in detail here.

[0098] Step 203: if the data collection deviation is greater than the preset deviation value, obtain standard color card Lab data corresponding to a plurality of different standard color cards.

[0099] It is understandable that different standard color cards have different colors, and accordingly, different standard color cards correspond to different standard color card Lab data.

[0100] Step 204, calculating the correlation coefficient between the original color card Lab data and the standard color card Lab data.

[0101] In some embodiments, the Calculate the correlation coefficient between the original color card Lab data and the standard color card Lab data;

[0102] Among them, r represents the correlation coefficient, m represents the original color card Lab data, m represents the original average value corresponding to the original color card Lab data, n represents the standard color card Lab data, and n represents the standard average value corresponding to the standard color card Lab data.

[0103] Step 205: if the correlation coefficient is greater than or equal to the preset correlation threshold, a data correction function corresponding to the color sensor is determined based on the original color card Lab data and the standard color card Lab data;

[0104] Step 206: If the correlation coefficient is less than a preset correlation threshold, an alarm message is sent to prompt the user that the color sensor is faulty.

[0105] If the correlation coefficient is greater than or equal to the preset correlation threshold, it can be determined that the color sensor is not faulty. The data correction function corresponding to the color sensor can be determined based on the original color card Lab data and the standard color card Lab data, and then the color sensor can be corrected. The color sensor after data correction can be used to perform color detection on the oil in the oil purification system to determine the effect of the essential oil.

[0106] If the correlation coefficient is less than the preset correlation threshold, it can be determined that the color sensor is faulty and an alarm message is sent to prompt the user to repair it in time.

[0107] Step 207, obtaining the original oil product Lab data collected by the color sensor on the oil product in the oil purification system;

[0108] Step 208, determining corrected oil product Lab data based on the original oil product Lab data and the data correction function;

[0109] Step 209: When the Lab data of the corrected oil product reaches the preset standard data, the oil purification system is controlled to end the oil purification work.

[0110] The specific implementation of steps 207 to 209 can be found in the above Figure 1 The corresponding embodiments will not be described in detail here.

[0111] In order to avoid the situation where the data correction function cannot be accurately determined due to a color sensor failure, when the embodiment of the present invention determines that the data acquisition deviation is greater than a preset deviation value, it first calculates the correlation coefficient between the original color card Lab data and the standard color card Lab data to detect whether the color sensor has a failure, and after determining that the color sensor has not failed, further determines the data correction function to correct the data acquisition deviation of the color sensor.

[0112] The specific method for determining the data correction function is introduced in detail below.

[0113] The data correction function is used to characterize the mathematical relationship between the original Lab data collected by the color sensor and the corrected Lab data after data correction is completed.

[0114] The data correction function includes: a data correction formula corresponding to at least one correction; the data correction formula can be expressed as: N = b + k × M;

[0115] Wherein, N represents the Lab data after data correction, b represents the first parameter, k represents the second parameter, and M represents the Lab data before data correction.

[0116] The embodiment of the present invention can use multiple data correction formulas to cyclically correct the original Lab data collected by the color sensor until the data collection deviation of the Lab data after the last data correction is less than the preset deviation value, completing the data correction and obtaining the data correction formula corresponding to each data correction.

[0117] Here, combined Figure 3 The method for determining the data correction function is introduced in detail. Figure 3 , when determining the data correction function, you can follow the following steps:

[0118] Step 301, based on the standard color card Lab data and the original color card Lab data, determine the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction;

[0119] Here, when determining the value of the second parameter, the standard average value corresponding to the standard color card Lab data and the original average value corresponding to the original color card Lab data can be determined respectively; then, based on the first difference between the standard color card Lab data and the standard average value, and the second difference between the original color card Lab data and the original average value, the value of the second parameter is determined.

[0120] The specific calculation formula can be expressed as:

[0121] Where k represents the second parameter, represents the second difference, m represents the original color card Lab data, and m represents the original average value corresponding to the original color card Lab data. represents the first difference, n represents the standard color card Lab data, Indicates the standard average value corresponding to the standard color card Lab data.

[0122] On the basis of determining the value of the second parameter, the embodiment of the present invention further determines the value of the first parameter based on the standard average value, the original average value and the value of the second parameter.

[0123] The specific calculation formula can be expressed as:

[0124] Where b represents the first parameter, represents the standard average value corresponding to the standard color card Lab data, k represents the second parameter, Indicates the original average value corresponding to the original color card Lab data.

[0125] Step 302, based on the original color card Lab data and the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction, determine the corrected color card Lab data after the current correction;

[0126] Here, the original color card Lab data can be used as the Lab data before correction, combined with the values ​​of the first parameter and the second parameter determined in step 301, and brought into the data correction formula to determine the corrected color card Lab data after the data correction.

[0127] Step 303, detecting the correction deviation of the correction color card Lab data;

[0128] Here, you can bring the corrected calibration color card Lab data into the above The data collection deviation calculation formula determines the data collection deviation corresponding to the calibration color card Lab data, that is, the calibration deviation mentioned above.

[0129] Step 304, when the correction deviation is greater than the set threshold, the corrected color card Lab data after the current correction is determined as the original color card Lab data, and the step of determining the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction based on the standard color card Lab data and the original color card Lab data is jumped to perform the next correction, until the correction deviation is less than or equal to the set threshold, and the values ​​of the first parameter and the second parameter in the data correction formula corresponding to each correction are obtained.

[0130] If the correction deviation is greater than the set threshold, it means that the accuracy of the Lab data after the current data correction still does not meet the preset requirements. At this time, the corrected calibration color card Lab data can be used as the original color card Lab data, and the process can be redirected to the above step of "determining the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction based on the standard color card Lab data and the original color card Lab data" to continue executing a new data correction. This cycle is repeated until the correction deviation corresponding to the calibration color card Lab data after the current correction is less than or equal to the set threshold, and the data correction is completed.

[0131] Here, the threshold value may be set according to actual conditions, and the embodiment of the present invention does not make any specific limitation on this.

[0132] Step 305: determine a data correction function according to the values ​​of the first parameter and the second parameter in the data correction formula corresponding to each correction.

[0133] After completing the data correction, the values ​​of the first parameter and the second parameter in the data correction formula corresponding to each data correction are determined, so that the data correction formula corresponding to each data correction can be determined. The data correction formula corresponding to each data correction constitutes the above data correction function.

[0134] Taking two data corrections as an example, the data correction formulas corresponding to each data correction can be expressed as: N1 = b1 + k1 × M1 and N2 = b2 + k2 × M2. Then the data correction function can be expressed as:

[0135] N2=b2+k2×(b1+k1×M1).

[0136] Among them, N1 represents the Lab data after the first data correction, M1 represents the Lab data before the first data correction, that is, the original oil Lab data collected by the color sensor, N2 represents the Lab data before the second data correction, M2 represents the Lab data after the second data correction, that is, the corrected oil Lab data after the data correction is completed, b1 and b2 represent the first parameters during the first data correction and the second data correction, k1 and k2 represent the second parameters during the first data correction and the second data correction.

[0137] It should be noted that, in the process of determining the data correction function, the above-mentioned original color card Lab data can be brightness component data, color data from red to green component, or color data from yellow to blue component. Accordingly, the obtained data correction function can be a brightness component data correction function, a red to green component color data correction function, and a yellow to blue component color data correction function.

[0138] The embodiments of the present invention perform data correction on the brightness component data, the color data of the red to green component, and the color data of the yellow to blue component in the original oil product Lab data based on the brightness component data correction function, the color data correction function of the red to green component, and the color data correction function of the yellow to blue component, respectively, and correspondingly obtain corrected brightness component data, corrected red to green component color data, and corrected yellow to blue component color data.

[0139] Based on the above-mentioned power oil purification monitoring method, the embodiment of the present invention also provides an operation monitoring method of power oil filling equipment, which specifically includes:

[0140] During the operation of the electric oil filling device, the original Lab data collected by the color sensor on the oil in the electric oil filling device is obtained;

[0141] Determine corrected Lab data based on the original Lab data and the data correction function;

[0142] When the corrected Lab data is lower than the preset operating standard Lab data, an alarm message is sent to remind the user that the oil quality in the electric oil filling equipment is too low.

[0143] Here, the determination method of the data correction function can refer to the above embodiment, which will not be repeated here. The operation monitoring method of the electric oil filling device can monitor the oil quality in the electric oil filling device online, and when the oil quality is lower than the operation standard, timely alarm to remind the user.

[0144] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0145] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0146] Figure 4 The schematic diagram of the structure of the power oil purification monitoring device provided by the embodiment of the present invention is shown. For the convenience of explanation, only the part related to the embodiment of the present invention is shown, which is described in detail as follows:

[0147] like Figure 4 As shown, the power oil purification monitoring device 4 includes: a correction module 41 , a monitoring module 42 and a control module 43 .

[0148] The correction module 41 is used for:

[0149] Respectively obtain the original color card Lab data collected by the color sensor for multiple different standard color cards;

[0150] Based on the original color card Lab data, determine the data collection deviation of the color sensor;

[0151] If the data acquisition deviation is greater than the preset deviation value, the data correction function corresponding to the color sensor is determined based on the original color card Lab data; the data correction function is used to characterize the mathematical relationship between the original Lab data collected by the color sensor and the corrected Lab data after the data correction is completed;

[0152] Monitoring module 42, used to obtain the original oil product Lab data collected by the color sensor on the oil product in the oil purification system;

[0153] The control module 43 is used for:

[0154] Determine corrected oil product Lab data based on original oil product Lab data and data correction function;

[0155] When the Lab data of the corrected oil product reaches the preset standard data, the oil purification system is controlled to end the oil purification work. Optionally, the correction module 41 is specifically used for:

[0156] If the data collection deviation is greater than the preset deviation value, the standard color card Lab data corresponding to multiple different standard color cards are obtained;

[0157] Calculate the correlation coefficient between the original color card Lab data and the standard color card Lab data;

[0158] If the correlation coefficient is greater than or equal to the preset correlation threshold, a data correction function corresponding to the color sensor is determined based on the original color card Lab data and the standard color card Lab data;

[0159] If the correlation coefficient is less than the preset correlation threshold, an alarm message is sent to prompt the user that the color sensor is malfunctioning.

[0160] Optionally, the data correction function includes: a data correction formula corresponding to at least one correction; the data correction formula is: N=b+k×M;

[0161] Wherein, N represents the Lab data after data correction, b represents the first parameter, k represents the second parameter, and M represents the Lab data before data correction;

[0162] The correction module 41 is specifically used for:

[0163] Determine the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction based on the standard color card Lab data and the original color card Lab data;

[0164] Determine the corrected color card Lab data after the current correction based on the original color card Lab data and the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction;

[0165] Detect and calibrate the calibration deviation of the color card Lab data;

[0166] When the correction deviation is greater than the set threshold, the corrected color card Lab data after the current correction is determined as the original color card Lab data, and the step of determining the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction based on the standard color card Lab data and the original color card Lab data is jumped to perform the next correction, until the correction deviation is less than or equal to the set threshold, and the values ​​of the first parameter and the second parameter in the data correction formula corresponding to each correction are obtained;

[0167] The data correction function is determined according to the values ​​of the first parameter and the second parameter in the data correction formula corresponding to each correction.

[0168] Optionally, the correction module 41 is specifically used for:

[0169] Determine the standard average value corresponding to the standard color card Lab data and the original average value corresponding to the original color card Lab data respectively;

[0170] Determine a value of the second parameter based on a first difference between the standard color card Lab data and the standard average value, and a second difference between the original color card Lab data and the original average value;

[0171] The value of the first parameter is determined based on the standard average value, the original average value and the value of the second parameter.

[0172] Optionally, the correction module 41 is specifically used for:

[0173] according to Determine the value of the second parameter;

[0174] Wherein, k represents the second parameter, mm represents the second difference, and m represents the original color card Lab data. Indicates the original average value corresponding to the original color card Lab data. represents the first difference, n represents the standard color card Lab data, Indicates the standard average value corresponding to the standard color card Lab data.

[0175] Optionally, the correction module 41 is specifically used for:

[0176] according to Determine the value of the first parameter;

[0177] Where b represents the first parameter, represents the standard average value corresponding to the standard color card Lab data, k represents the second parameter, Indicates the original average value corresponding to the original color card Lab data.

[0178] Optionally, each standard color card corresponds to a set of original color card Lab data, and the original color card Lab data is multiple sets;

[0179] The correction module 41 is specifically used for:

[0180] according to Determine data collection bias of color sensors;

[0181] Among them, Δ represents the data collection deviation, m represents the original color card Lab data, It represents the original average value corresponding to the original color card Lab data, and I represents the number of original color card Lab data.

[0182] Optionally, the correction module 41 is specifically used for:

[0183] according to Calculate the correlation coefficient between the original color card Lab data and the standard color card Lab data;

[0184] Among them, r represents the correlation coefficient, m represents the original color card Lab data, represents the original average value corresponding to the original color card Lab data, n represents the standard color card Lab data, Indicates the standard average value corresponding to the standard color card Lab data.

[0185] Optionally, the corrected oil product Lab data includes: corrected brightness component data, corrected red to green component color data, and corrected yellow to blue component color data; the standard data includes: standard brightness component data, standard red to green component color data, and standard yellow to blue component color data;

[0186] The control module 43 is specifically used for:

[0187] When the corrected brightness component data is equal to the standard brightness component data, the corrected red to green component color data is equal to the standard red to green component color data, and the corrected yellow to blue component color data is equal to the standard yellow to blue component color data, the oil purification system is controlled to end the oil purification work.

[0188] The device embodiment can be used to execute the above method embodiment. Its technical principle and implementation effect are the same as those of the above method embodiment, and will not be repeated here.

[0189] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0190] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0191] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned embodiments of the oil purification monitoring method can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal and software distribution medium.

[0192] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for monitoring the purification of electric power oil, characterized in that: Applied to an oil purification system, wherein a color sensor is arranged in the oil purification system; the method comprises: Respectively obtaining the original color card Lab data collected by the color sensor for a plurality of different standard color cards; Based on the original color card Lab data, determining the data acquisition deviation of the color sensor; If the data acquisition deviation is greater than the preset deviation value, a data correction function corresponding to the color sensor is determined based on the original color card Lab data; the data correction function is used to characterize the mathematical relationship between the original Lab data collected by the color sensor and the corrected Lab data after the data correction is completed; Obtain the original Lab data of the oil collected by the color sensor on the oil in the oil purification system; Determining corrected oil product Lab data based on the original oil product Lab data and the data correction function; When the Lab data of the calibrated oil product reaches the preset standard data, the oil purification system is controlled to end the oil purification work.

2. The power oil purification monitoring method according to claim 1 is characterized in that: If the data acquisition deviation is greater than a preset deviation value, a data correction function corresponding to the color sensor is determined based on the original color card Lab data, including: If the data collection deviation is greater than a preset deviation value, obtaining the standard color card Lab data corresponding to the multiple different standard color cards; Calculating the correlation coefficient between the original color card Lab data and the standard color card Lab data; If the correlation coefficient is greater than or equal to a preset correlation threshold, determining a data correction function corresponding to the color sensor based on the original color card Lab data and the standard color card Lab data; If the correlation coefficient is less than the preset correlation threshold, an alarm message is sent to prompt the user that the color sensor fails.

3. The power oil purification monitoring method according to claim 2 is characterized in that: The data correction function includes: a data correction formula corresponding to at least one correction; the data correction formula is: N=b+k×M; Wherein, N represents the Lab data after data correction, b represents the first parameter, k represents the second parameter, and M represents the Lab data before data correction; Determining a data correction function corresponding to the color sensor based on the original color card Lab data and the standard color card Lab data includes: Determine the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction based on the standard color card Lab data and the original color card Lab data; Determine the corrected color card Lab data after the current correction based on the original color card Lab data and the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction; Detecting the correction deviation of the correction color card Lab data; When the correction deviation is greater than the set threshold, the corrected color card Lab data after the current correction is determined as the original color card Lab data, and the step of determining the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction based on the standard color card Lab data and the original color card Lab data is jumped to perform the next correction, until the correction deviation is less than or equal to the set threshold, and the values ​​of the first parameter and the second parameter in the data correction formula corresponding to each correction are obtained; The data correction function is determined according to the values ​​of the first parameter and the second parameter in the data correction formula corresponding to each correction.

4. The power oil purification monitoring method according to claim 3 is characterized in that: Determining the values ​​of the first parameter and the second parameter in the data correction formula corresponding to the current correction based on the standard color card Lab data and the original color card Lab data, including: Determine the standard average value corresponding to the standard color card Lab data and the original average value corresponding to the original color card Lab data respectively; Determine a value of the second parameter based on a first difference between the standard color card Lab data and the standard average value, and a second difference between the original color card Lab data and the original average value; The value of the first parameter is determined based on the standard average value, the original average value and the value of the second parameter.

5. The power oil purification monitoring method according to claim 4 is characterized in that: Determining the value of the second parameter based on a first difference between the standard color card Lab data and the standard average value, and a second difference between the original color card Lab data and the original average value, includes: according to Determining a value of the second parameter; Wherein, k represents the second parameter, represents the second difference, m represents the original color card Lab data, represents the original average value corresponding to the original color card Lab data, represents the first difference, n represents the standard color card Lab data, Indicates the standard average value corresponding to the standard color card Lab data.

6. The power oil purification monitoring method according to claim 4 or 5, characterized in that: Determining the value of the first parameter based on the standard average value, the original average value, and the value of the second parameter includes: according to Determining a value of the first parameter; Wherein, b represents the first parameter, represents the standard average value corresponding to the standard color card Lab data, k represents the second parameter, Indicates the original average value corresponding to the original color card Lab data.

7. The power oil purification monitoring method according to any one of claims 1 to 5, characterized in that: Each standard color card corresponds to a set of original color card Lab data, and the original color card Lab data is multiple sets; Determining the data acquisition deviation of the color sensor based on the original color card Lab data includes: according to determining a data collection bias of the color sensor; Wherein, Δ represents the data collection deviation, m represents the original color card Lab data, m represents the original average value corresponding to the original color card Lab data, and I represents the number of the original color card Lab data.

8. The power oil purification monitoring method according to any one of claims 2 to 5, characterized in that: The calculating the correlation coefficient between the original color card Lab data and the standard color card Lab data includes: according to Calculating the correlation coefficient between the original color card Lab data and the standard color card Lab data; Wherein, r represents the correlation coefficient, m represents the original color card Lab data, represents the original average value corresponding to the original color card Lab data, n represents the standard color card Lab data, Indicates the standard average value corresponding to the standard color card Lab data.

9. The power oil purification monitoring method according to any one of claims 1 to 5, characterized in that: The corrected oil product Lab data includes: corrected brightness component data, corrected red to green component color data, and corrected yellow to blue component color data; the standard data includes: standard brightness component data, standard red to green component color data, and standard yellow to blue component color data; When the Lab data of the corrected oil product reaches the preset standard data, the oil purification system is controlled to end the oil purification work, including: When the corrected brightness component data is equal to the standard brightness component data, the corrected red to green component color data is equal to the standard red to green component color data, and the corrected yellow to blue component color data is equal to the standard yellow to blue component color data, the oil purification system is controlled to end the oil purification work.

10. A power oil purification monitoring device, characterized in that: Applied to an oil purification system, a color sensor is arranged in the oil purification system; the device comprises: Correction module for: Respectively obtaining the original color card Lab data collected by the color sensor for a plurality of different standard color cards; Based on the original color card Lab data, determining the data acquisition deviation of the color sensor; If the data acquisition deviation is greater than the preset deviation value, a data correction function corresponding to the color sensor is determined based on the original color card Lab data; the data correction function is used to characterize the mathematical relationship between the original Lab data collected by the color sensor and the corrected Lab data after the data correction is completed; The monitoring module is used to obtain the original oil product Lab data collected by the color sensor on the oil products in the oil purification system; Control module for: Determining corrected oil product Lab data based on the original oil product Lab data and the data correction function; When the Lab data of the calibrated oil product reaches the preset standard data, the oil purification system is controlled to end the oil purification work.

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