Intelligent lubrication monitoring control method for coal mine

Abstract

The invention relates to the technical field of lubrication monitoring, in particular to an intelligent lubrication monitoring control method for a coal mine, and the method comprises the following steps: analyzing the deviation between a current environment parameter and a standard environment parameter, and analyzing the deviation between a current equipment operation parameter and a standard operation parameter based on a coal mine environment, and obtaining real-time deviation data; according to the invention, real-time environment data and equipment operation parameters are collected, real-time deviation analysis is carried out, and lubricating oil supply is adjusted according to the deviation analysis, so that the adaptability and preventive maintenance of equipment operation are enhanced, the actual working conditions of equipment are accurately corresponding, the use efficiency of lubricating oil is optimized, and the risks of excessive wear and potential faults are reduced; through continuous evaluation of the state of the lubricating oil, the attenuation rate of the lubricating oil can be analyzed, the maintenance period can be adjusted in time, the service life of equipment is prolonged, the reliability and energy efficiency of the equipment are improved, and continuous, safe and efficient operation of the coal mine production environment is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of lubrication monitoring, and in particular to an intelligent lubrication monitoring and control method for coal mines. Background Art

[0002] The field of lubrication monitoring technology focuses on real-time tracking and evaluation of the state and performance of lubricants in lubrication systems to ensure optimal operating efficiency and life of mechanical equipment. This technology covers everything from basic oil physical and chemical property detection to complex online automatic monitoring systems. The core of lubrication monitoring is to prevent mechanical failures by analyzing the viscosity, temperature, contaminant content and other wear indicators of the lubricant, thereby reducing unplanned downtime and improving equipment reliability and efficiency. This technology is widely used in heavy industry, transportation, mining and other industries, and uses sensor technology and data analysis tools to achieve continuous monitoring of lubricant quality.

[0003] Among them, the intelligent lubrication monitoring and control method for coal mines is a technical solution designed for the lubrication system of coal mine machinery and equipment, aiming to improve the operating efficiency and safety of coal mine equipment through intelligent control and monitoring. The solution uses sensors to collect data about lubricants and optimizes the supply of lubricants by analyzing the data. It can automatically adjust lubrication parameters to adapt to the actual conditions of equipment operation, prevent excessive wear and failure, thereby extending the service life of equipment and reducing maintenance costs. The main uses include improving equipment operating efficiency, reducing energy consumption, ensuring the safety of the coal mine production environment and the efficient operation of equipment.

[0004] Traditional control methods mainly focus on periodic detection or monitoring of fixed parameters. They lack sufficient flexibility to cope with the rapid changes in extreme working environments such as coal mines. They rely on standardized lubrication procedures and fail to take into account the real-time changes in environmental factors and equipment operating status in actual working conditions, resulting in insufficient or excessive lubricant supply, which in turn affects equipment efficiency and life. Traditional methods do not support real-time decision-making in data processing and analysis. When the equipment encounters sudden changes in operating conditions, the response is often delayed and the lubrication strategy cannot be adjusted in time to adapt to the changes, which limits its ability to prevent equipment failures and optimize operating efficiency, affecting overall production efficiency and safety. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent lubrication monitoring and control method for coal mines.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: an intelligent lubrication monitoring and control method for coal mines, comprising the following steps:

[0007] S1: Based on the coal mine environment, collect real-time environmental data of the coal mine equipment operation area, analyze the deviation between the current environmental parameters and the standard environmental parameters, extract the current coal mine equipment operation parameters, analyze the deviation between the current equipment operation parameters and the standard operation parameters, and obtain real-time deviation data;

[0008] S2: Based on the real-time deviation data, according to the environmental deviation index and the operation deviation index, the frequency of lubricating oil supply is adjusted, and in combination with the service life of the equipment, the amount of lubricating oil supplied each time is adjusted to obtain a deviation adjustment parameter;

[0009] S3: Based on the deviation adjustment parameter, collecting state parameters of the lubricating oil in the equipment, including the viscosity, temperature and pollutant content of the lubricating oil, evaluating the lubricating state of the lubricating oil, and obtaining a lubricating oil state evaluation result;

[0010] S4: Based on the lubricating oil status evaluation result, by analyzing the lubrication status over a period of time, evaluating the attenuation rate of the lubricating oil status, adjusting the maintenance and replacement cycle of the lubricating oil of the coal mine equipment according to the attenuation rate, and obtaining the lubricating oil maintenance adjustment information.

[0011] The present invention is improved in that the method for analyzing the deviation between the current environmental parameters and the standard environmental parameters is:

[0012] S111: Based on the coal mine environment, real-time environmental data of the coal mine equipment operation area is collected, including temperature, humidity and dust level, and standard working environment parameters corresponding to the lubricating oil are extracted to obtain environmental deviation correlation data;

[0013] S112: Based on the environmental deviation associated data, by formula:

[0014]

[0015] Calculate the environmental deviation index and obtain the environmental deviation analysis results, where G is the environmental deviation index, ω T ,ω H and ω D is the weight coefficient, T G , H G and D G are the temperature, humidity and dust level in the current coal mine environment, T std , H std and D std It is the temperature, humidity and dust level of the standard working environment of lubricating oil.

[0016] The present invention is improved in that the step of acquiring the real-time deviation data is:

[0017] S121: Based on the coal mine environment, collect the operating parameters of the current coal mine equipment, including operating power, operating intensity and operating duration, and obtain the standard operating parameters corresponding to the lubricating oil to obtain the operating deviation correlation data;

[0018] S122: Based on the operation deviation associated data, by formula:

[0019]

[0020] Calculate the running deviation index, where α Y , β Y and γ Y is the weight coefficient, Y is the operation deviation index, P Y is the operating power of the current device, P std is the standard power of the device, I Y is the current operating intensity, I std is the standard operating intensity of the equipment, C Y is the current running time, C std It is the standard operating time of the equipment;

[0021] S123: Based on the operation deviation index, the environmental deviation analysis result is integrated to obtain real-time deviation data.

[0022] The present invention is improved in that the method for adjusting the supply frequency of lubricating oil is:

[0023] S211: extracting an environmental deviation index and an operation deviation index based on the real-time deviation data;

[0024] S212: Based on the environmental deviation index and the operation deviation index, the formula:

[0025] F=F0+F0·(ln(G+1)·k1+Y·k2)

[0026] The adjusted lubricating oil supply frequency is calculated to obtain the supply frequency adjustment result, wherein F is the adjusted lubricating oil supply frequency, F0 is the basic supply frequency, k1 and k2 are adjustment coefficients, G is the environmental deviation index, and Y is the operation deviation index.

[0027] The present invention is improved in that the step of obtaining the deviation adjustment parameter is:

[0028] S221: extracting an environmental deviation index and an operation deviation index based on the real-time deviation data, and collecting the service life of coal mine equipment to obtain supply quantity related data;

[0029] S222: Based on the supply quantity related data, by formula:

[0030] Q=Q0+Q0·(aQ ln(G+1)+b Q ·Y+c Q ·ln(L Q +1))

[0031] Calculate the adjusted lubricant supply, where Q represents the adjusted lubricant supply, Q0 is the basic supply, and a Q , b Q and c Q is the adjustment factor, G is the environmental deviation index, Y is the operation deviation index, L Q The service life of the equipment;

[0032] S223: Based on the adjusted lubricating oil supply amount, the supply frequency adjustment result is integrated to obtain a deviation adjustment parameter.

[0033] The present invention is improved in that the steps of obtaining the lubricating oil status evaluation result are:

[0034] S311: Based on the deviation adjustment parameter, collecting lubricating oil state parameters in the coal mine equipment, where the lubricating oil state parameters include viscosity, temperature and pollutant content of the lubricating oil;

[0035] S312: Based on the lubricating oil state parameter, by formula:

[0036]

[0037] Calculate the lubrication status score of the lubricant to obtain the lubricant status evaluation result, where S represents the lubrication status score of the lubricant, S0 is the initial lubrication status score, and d S , k S and m S is the adjustment factor, V S is the currently measured viscosity of the lubricating oil, V0 is the initial viscosity of the lubricating oil, W S is the currently measured lubricating oil temperature, W0 is the reference temperature, P S is the currently measured lubricating oil contaminant content, and e is the base of the natural logarithm.

[0038] The present invention is improved in that the method for evaluating the decay rate of the lubricating oil state is:

[0039] S411: Based on the lubricating oil state evaluation result, in a target observation period, a lubrication state score at the beginning of the observation period and a lubrication state score at the end of the observation period are collected to obtain attenuation correlation data;

[0040] S412: Based on the attenuation correlation data, by formula:

[0041]

[0042] Calculate the decay rate of the lubricating oil state and obtain the lubricating oil decay state evaluation result, where M is the decay rate of the lubricating oil state, S initial is the lubrication status score at the beginning of the observation period, S final is the lubrication status score at the end of the observation period, t is the time interval, p is the power exponent of the time effect, and ∈ is the stability constant.

[0043] The present invention is improved in that the step of obtaining the lubricating oil maintenance adjustment information is:

[0044] S421: extracting the basic maintenance and replacement cycle of the lubricating oil of the coal mine equipment based on the lubricating oil attenuation state assessment result, and obtaining maintenance cycle related information;

[0045] S422: Based on the maintenance cycle association information, by formula:

[0046]

[0047] Calculate the lubricant oil maintenance replacement cycle after adjustment to obtain lubricant oil maintenance adjustment information, where Z is the adjusted maintenance replacement cycle, c Z is the adjustment coefficient, and M is the decay rate of the lubricating oil state.

[0048] Compared with the prior art, the advantages and positive effects of the present invention are:

[0049] In the present invention, by collecting real-time environmental data and equipment operating parameters, real-time deviation analysis is performed, and the lubricating oil supply is adjusted accordingly, thereby enhancing the adaptability and preventive maintenance of equipment operation, accurately corresponding to the actual working conditions of the equipment, optimizing the use efficiency of the lubricating oil, and reducing the risk of excessive wear and potential failures. Through continuous evaluation of the lubricating oil state, the attenuation rate of the lubricating oil can be analyzed, and the maintenance cycle can be adjusted in time, thereby extending the service life of the equipment and reducing the downtime caused by unplanned maintenance. Through real-time monitoring and intelligent control of the lubrication effect, the reliability and energy efficiency of the equipment are improved, ensuring the continuous safety and efficient operation of the coal mine production environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a flow chart of the method of the present invention;

[0051] Figure 2 A flow chart for analyzing the deviation between the current environmental parameters and the standard environmental parameters of the present invention;

[0052] Figure 3 A flow chart for obtaining real-time deviation data of the present invention;

[0053] Figure 4A flow chart for adjusting the supply frequency of lubricating oil according to the present invention;

[0054] Figure 5 A flow chart for obtaining deviation adjustment parameters of the present invention;

[0055] Figure 6 A flow chart for obtaining lubricating oil status evaluation results according to the present invention;

[0056] Figure 7 A flow chart for evaluating the decay rate of lubricating oil condition for the present invention;

[0057] Figure 8 The present invention is a flow chart for obtaining lubricating oil maintenance adjustment information. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0059] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0060] See also Figure 1 The present invention provides a technical solution: an intelligent lubrication monitoring and control method for coal mines, comprising the following steps:

[0061] S1: Based on the coal mine environment, collect real-time environmental data of the coal mine equipment operation area, including temperature, humidity and dust level, analyze the deviation between the current environmental parameters and the standard environmental parameters, and extract the current coal mine equipment operation parameters, including operation power, operation intensity and operation duration, analyze the deviation between the current equipment operation parameters and the standard operation parameters, and obtain real-time deviation data;

[0062] S2: Based on the real-time deviation data, according to the environmental deviation index and the operation deviation index, the frequency of lubricating oil supply is adjusted, and the amount of lubricating oil supplied each time is adjusted in combination with the service life of the equipment to obtain the deviation adjustment parameter;

[0063] S3: Based on the deviation adjustment parameter, the state parameters of the lubricating oil in the equipment are collected, including the viscosity, temperature and pollutant content of the lubricating oil, the lubricating state of the lubricating oil is evaluated, and the lubricating oil state evaluation result is obtained;

[0064] S4: Based on the lubricant status assessment result, by analyzing the lubrication status over a period of time, the attenuation rate of the lubricant status is evaluated, and according to the attenuation rate, the maintenance and replacement cycle of the lubricant of the coal mine equipment is adjusted to obtain the lubricant maintenance adjustment information.

[0065] Real-time deviation data includes environmental deviation index and operation deviation index. Deviation adjustment parameters include adjusted lubricant supply interval and amount of lubricant supplied each time. Lubricant status assessment results include lubricant viscosity rating, temperature range and pollutant content information. Lubricant maintenance adjustment information includes adjusted lubricant change cycle and corresponding change time.

[0066] See also Figure 2 ,The method for analyzing the deviation between the current environmental parameters and the standard environmental parameters is:

[0067] S111: Based on the coal mine environment, real-time environmental data of the coal mine equipment operation area is collected, including temperature, humidity and dust level, and standard working environment parameters corresponding to the lubricating oil are extracted to obtain environmental deviation correlation data;

[0068] S112: Based on the environmental deviation correlation data, through the formula:

[0069]

[0070] Calculate the environmental deviation index and obtain the environmental deviation analysis results, where G is the environmental deviation index, ω T ,ω H and ω D is the weight coefficient, T G , H G and D G are the temperature, humidity and dust level in the current coal mine environment, T std , H std and D std It is the temperature, humidity and dust level of the standard working environment of lubricating oil.

[0071] formula:

[0072]

[0073] The meaning and acquisition method of parameters:

[0074] T G , H G and D G: The temperature, humidity and dust level in the current coal mine environment, parameters are collected in real time through sensor equipment installed in the coal mine.

[0075] T std , H std and D std :The temperature, humidity and dust level of the standard working environment of lubricating oil. The standard values ​​are derived from the standard specifications for the use of lubricating oil.

[0076] ω T ,ω H and ω D : The weights represent the relative importance of temperature, humidity and dust level in the environmental deviation index. The weights are set according to the impact of each parameter on lubricant consumption and are usually obtained through expert evaluation or historical data analysis.

[0077] Calculation example:

[0078] Set the following parameters: T G =45℃(measured temperature), T std =40℃(standard temperature), H G =80% (measured humidity), H std =70% (standard humidity), D G =3.5mg / m3 (actual dust level), D std =2.5mg / m3 (standard dust level), ω T =0.4,ω H =0.3,ω D =0.3(weight).

[0079] Calculate the temperature deviation value:

[0080] ΔH=max(0,T G -T std )=max(0,45-40)=5℃

[0081]

[0082] Calculate the humidity deviation value:

[0083] ΔH=max(0,H G -H std )=max(0,80-70)=10%

[0084]

[0085] Calculate the dust level deviation:

[0086] △D=max(0,D G -D std)=max(0,3.5-2.5)=1.0mg / m3

[0087]

[0088] Calculate the environmental deviation index G:

[0089] G=0.4×0.125+0.3×0.143+0.3×0.4

[0090] =0.05+0.0429+0.12

[0091] =0.2129

[0092] The calculation result G=0.2129 shows that the current coal mine environmental parameters have a small deviation compared with the standard parameters, which is mainly caused by the excessive dust level.

[0093] See also Figure 3 , the steps for obtaining real-time deviation data are:

[0094] S121: Based on the coal mine environment, collect the operating parameters of the current coal mine equipment, including operating power, operating intensity and operating duration, and obtain the standard operating parameters corresponding to the lubricating oil to obtain the operating deviation correlation data;

[0095] S122: Based on the operation deviation correlation data, the formula:

[0096]

[0097] Calculate the running deviation index, where α Y , β Y and γ Y is the weight coefficient, Y is the operation deviation index, P Y is the operating power of the current device, P std is the standard power of the device, I Y is the current operating intensity, I std is the standard operating intensity of the equipment, C Y is the current running time, C std It is the standard operating time of the equipment;

[0098] S123: Based on the operation deviation index, the environmental deviation analysis results are integrated to obtain real-time deviation data.

[0099] formula:

[0100]

[0101] The meaning and acquisition method of parameters:

[0102] P Y:The current operating power of the device is obtained in real time through the device's power sensor.

[0103] p std : The standard power of the equipment, that is, the operating power of the equipment under the standard usage scenario of the lubricating oil, can be preset according to needs.

[0104] I Y :The current operating intensity is usually expressed as the ratio of equipment load to maximum load capacity, and is obtained in real time through the equipment monitoring system.

[0105] I std :The standard operating intensity of the equipment, that is, the equipment operating intensity of the lubricant under the standard usage scenario, can be preset according to needs.

[0106] C Y : Current running time, the cumulative running time from the device startup to the current time, recorded in real time by the device's built-in clock or timing system.

[0107] C std :The standard operating time preset for the equipment, that is, the duration of equipment operation under the standard usage scenario of the lubricating oil, can be preset according to needs.

[0108] α Y , β Y and γ Y : Weight coefficients, corresponding to the importance of operating power, operating intensity and operating time, respectively. The weights are preset according to the impact of different operating parameters on the lubricating oil.

[0109] Calculation example:

[0110] Set the following parameters: Y =120kW (current operating power), P std =100kW (standard operating power), I Y =75% (current operating intensity), I std =80% (standard operating intensity), C Y = 10 hours (current running time), C std =8 hours (standard operating time), α Y =0.5,β Y =0.3,γ Y =0.2 (weight coefficient).

[0111] Power Deviation Ratio:

[0112]

[0113] Strength Deviation Ratio:

[0114]

[0115] Time deviation ratio:

[0116]

[0117] Running deviation index y:

[0118] Y=0.5×0.20+0.3×(-0.0625)+0.2×0.25

[0119] =0.10-0.01875+0.05

[0120] =0.13125

[0121] The calculation result Y=0.13125 indicates that the current equipment has a slight overall deviation from the standard operating parameters.

[0122] See also Figure 4 , the method to adjust the supply frequency of lubricating oil is:

[0123] S211: extracting an environmental deviation index and an operation deviation index based on the real-time deviation data;

[0124] S212: Based on the environmental deviation index and the operating deviation index, the formula:

[0125] F=F0+F0·(ln(G+1)·k1+Y·k2)

[0126] The adjusted lubricating oil supply frequency is calculated to obtain the supply frequency adjustment result, wherein F is the adjusted lubricating oil supply frequency, F0 is the basic supply frequency, k1 and k2 are adjustment coefficients, G is the environmental deviation index, and Y is the operation deviation index.

[0127] formula:

[0128] F=F0+F0·(ln(G+1)·k1+Y·k2)

[0129] The meaning and acquisition method of parameters:

[0130] F0: Basic supply frequency, usually set according to the equipment's standard operating manual or manufacturer's recommendations. It is the base frequency of lubricating oil supply to the equipment under standard operating conditions and operating parameters.

[0131] G: Environmental deviation index, calculated by the previous method.

[0132] Y: Running deviation index, calculated by the previous method.

[0133] k1 and k2: adjustment coefficients, determined based on the equipment's sensitivity to environmental and operating deviations and historical data analysis, which determine how environmental and operating deviations affect changes in lubricant supply frequency.

[0134] Calculation example:

[0135] The following parameter values ​​are set for calculation example: F0 = 10 times / day (basic supply frequency), G = 3.0 (environmental deviation index), Y = 1.5 (operation deviation index), k1 = 0.4, k2 = 0.6 (adjustment coefficient).

[0136] Compute the value of the logarithmic part:

[0137] ln(G+1)=ln(3.0+1)=ln(4.0)≈1.386

[0138] Calculate the value of the overall adjustment factor:

[0139] (lm(4.0)·0.4+1.5·0.6)=(1.386·0.4+1.5·0.6)

[0140] ≈0.5544+0.9

[0141] =1.4544

[0142] Calculate the adjusted lubrication oil supply frequency:

[0143] F=10+10·1.4544=10+14.544=24.544

[0144] The calculated lubricating oil supply frequency F = 24.544 times / day shows that due to the large environmental and operating deviations, the lubricating oil supply frequency is significantly higher than the basic frequency, which means that the equipment needs more frequent lubrication under the current operating and environmental conditions to maintain normal operation, reduce wear and extend equipment life.

[0145] See also Figure 5 , the steps to obtain the deviation adjustment parameters are:

[0146] S221: extracting the environmental deviation index and the operation deviation index based on the real-time deviation data, and collecting the service life of the coal mine equipment to obtain the supply quantity related data;

[0147] S222: Based on the supply quantity related data, through the formula:

[0148] Q=Q0+Q0·(a Q ln(G+1)+b Q ·Y+c Q ·ln(L Q +1))

[0149] Calculate the adjusted lubricant supply, where Q represents the adjusted lubricant supply, Q0 is the basic supply, and a Q , b Q and c Q is the adjustment factor, G is the environmental deviation index, Y is the operation deviation index, L Q The service life of the equipment;

[0150] S223: Based on the adjusted lubricating oil supply amount, the supply frequency adjustment result is integrated to obtain a deviation adjustment parameter.

[0151] formula:

[0152] Q=Q0+Q0·(a Q ln(G+1)+b Q ·Y+c Q ·ln(L Q +1))

[0153] The meaning and acquisition method of parameters:

[0154] Q0: Basic supply quantity, usually preset by the equipment manufacturer, is the single lubricating oil supply quantity of the equipment under standard operating environment and operating parameters.

[0155] G: Environmental deviation index, calculated by the previous method.

[0156] Y: Running deviation index, calculated by the previous method.

[0157] L Q : Equipment service life, the number of years from the beginning of use of the equipment to the present.

[0158] a Q , b Q and c Q : Adjustment factor. The coefficient is set according to the sensitivity of the equipment to different types of deviations. It is determined through historical data analysis or experiments to measure the impact of environmental deviations, operating deviations and years of use on the lubricant supply.

[0159] Calculation example:

[0160] Set the following parameters: Q0 = 50 ml (basic supply), G = 2.5 (environmental deviation index), Y = 1.2 (operation deviation index), L Q = 5 years (equipment service life), a Q =0.3, b Q =0.5, c Q =0.2 (adjustment coefficient).

[0161] Calculation process

[0162] Compute the logarithm:

[0163] ln(G+1)=LN(2.5+1)=ln(3.5)≈1.2528

[0164] ln(L Q +1)=ln(5+1)=ln(6)≈1.7918

[0165] Calculate the combined impact of the adjustment factors:

[0166] a Q ·ln(G+1)=0.3·1.2528≈0.3758

[0167] b Q ·Y=0.5·1.2=0.6

[0168] C Q ·ln(L Q +1)=0.2·1.7918≈0.3584

[0169] 0.37588+0.6+0.3584=1.3342

[0170] Calculate the lubricating oil supply:

[0171] Q=50+50·1.3342=50+66.71≈116.71ml

[0172] The calculated lubricant supply Q = 116.71 ml means that under the current environment and operating conditions, the equipment requires about 117 ml of lubricant each time, which is a significant increase compared to the basic supply. This indicates a large deviation in the environment and operating parameters, and more lubricant is needed to maintain good mechanical properties and extend the life of the equipment.

[0173] See also Figure 6 , the steps to obtain the lubricating oil condition assessment results are:

[0174] S311: Based on the deviation adjustment parameter, collect the lubricating oil state parameters in the coal mine equipment, the lubricating oil state parameters including the viscosity, temperature and pollutant content of the lubricating oil;

[0175] S312: Based on the lubricating oil state parameters, by formula:

[0176]

[0177] Calculate the lubrication status score of the lubricant to obtain the lubricant status evaluation result, where S represents the lubrication status score of the lubricant, S0 is the initial lubrication status score, and d S , k S and m S is the adjustment factor, VS is the currently measured viscosity of the lubricating oil, V0 is the initial viscosity of the lubricating oil, W S is the currently measured lubricating oil temperature, W0 is the reference temperature, P S is the currently measured lubricating oil contaminant content, and e is the base of the natural logarithm.

[0178] formula:

[0179]

[0180] The meaning and acquisition method of parameters:

[0181] S0: Initial lubrication condition score, which indicates the performance score of a new lubricant under ideal conditions, usually obtained according to the lubricant manufacturer's specifications or through standardized tests.

[0182] V S :The current viscosity of the lubricating oil is measured in real time by the built-in viscosity sensor of the equipment.

[0183] V0: The initial viscosity of the lubricant, usually refers to the viscosity value of the new oil, which can be obtained from the technical specification document of the lubricant.

[0184] W S :The current lubricating oil temperature is measured in real time by the built-in temperature sensor of the equipment.

[0185] W0: Reference temperature, usually set to room temperature (20°C), used as the base point for calculating temperature effects.

[0186] P S : The contaminant content in lubricating oil, obtained by mass analyzer or chemical testing method.

[0187] d S , k S and m S : Adjustment factor, adjusted based on experimental data or experience to reflect the effects of viscosity changes, temperature changes and contaminant content on the condition of the lubricant.

[0188] Calculation example:

[0189] Set the following parameters: S0 = 100 points (initial lubrication state score), V S =95cSt (current measured viscosity), V0 =100cSt (initial viscosity), W S =30℃(current temperature), W0=20℃(reference temperature), P S =0.02 (pollutant content, expressed as a ratio), d S =0.1, k S =0.05, m S=0.2 (adjustment coefficient).

[0190] Calculation of viscosity difference:

[0191]

[0192] Calculation of viscosity effect:

[0193]

[0194] Calculation of temperature effect:

[0195]

[0196] Calculation of pollutant impact:

[0197] 1-m S ·P S =1-0.2·0.02=0.996

[0198] Calculation of lubrication status assessment value:

[0199] S=100.0995·0.6065·0.996≈59.69

[0200] The lubrication status evaluation value S=59.69 indicates that the performance of the current lubricant has declined compared to the initial state. The result suggests that the lubricant may need to be replaced or measures may need to be taken to restore its performance to ensure the effective and safe operation of the equipment.

[0201] See also Figure 7 , the method for evaluating the decay rate of lubricating oil condition is:

[0202] S411: Based on the lubricating oil state evaluation result, in the target observation period, the lubrication state score at the beginning of the observation period and the lubrication state score at the end of the observation period are collected to obtain attenuation correlation data;

[0203] S412: Based on the attenuation correlation data, the formula:

[0204]

[0205] Calculate the decay rate of the lubricating oil state and obtain the lubricating oil decay state evaluation result, where M is the decay rate of the lubricating oil state, S initial is the lubrication status score at the beginning of the observation period, S final is the lubrication status score at the end of the observation period, t is the time interval, p is the power exponent of the time effect, and ∈ is the stability constant.

[0206] formula:

[0207]

[0208] The meaning and acquisition method of parameters:

[0209] S initial : The lubrication status score at the beginning of the observation period is calculated using the previous method based on the initial test data of the lubricating oil.

[0210] S final : The lubrication status score at the end of the observation period is calculated using the same type of test data at the end of the period using the previous method.

[0211] t: The time interval between two measurements is the actual number of days from the first status detection to the second status detection.

[0212] p: The power exponent of the time effect, determined based on historical data on the sensitivity of the lubricant decay rate to time. This parameter adjusts the effect of the time factor on the decay rate to make the model closer to the actual situation.

[0213] ∈: Stability constant, which ensures that the formula can run stably even in extremely short time intervals and avoids mathematical errors.

[0214] Calculation example:

[0215] Set the following parameters for calculation example: S initial =95 points (lubricant condition score at the beginning of the cycle), S final =90 points (lubricant condition score at the end of the cycle), t=30 days (time interval), p=0.5 (time power exponent), ∈=0.01 (a small constant to prevent the denominator from being zero).

[0216] Calculate the change in lubrication condition score:

[0217] ΔS=S initial -S final =95-90=5

[0218] Evaluate the expression in the denominator:

[0219]

[0220] Calculate the decay rate M of the lubricating oil state:

[0221]

[0222] The calculated lubricant state decay rate M≈0.911, indicating that the lubricant has a certain rate of performance decay.

[0223] See also Figure 8 , the steps to obtain lubricating oil maintenance adjustment information are:

[0224] S421: extracting the basic maintenance and replacement cycle of the lubricating oil of the coal mine equipment based on the lubricating oil attenuation state assessment result, and obtaining maintenance cycle related information;

[0225] S422: Based on the maintenance cycle association information, the formula:

[0226]

[0227] Calculate the lubricant oil maintenance replacement cycle after adjustment to obtain lubricant oil maintenance adjustment information, where Z is the adjusted maintenance replacement cycle, c Z is the adjustment coefficient, M is the decay rate of the lubricating oil state, c Z is the adjustment factor.

[0228] formula:

[0229]

[0230] The meaning and acquisition method of parameters:

[0231] Z0: Basic maintenance replacement cycle, which is the standard replacement interval recommended by the equipment manufacturer, based on the equipment type and typical operating conditions. This cycle is usually derived from the equipment's operating manual or based on past maintenance history.

[0232] M: The decay rate of the lubricating oil state, calculated by the previous method.

[0233] c Z : The influence coefficient of the attenuation rate is an empirical coefficient used to adjust the length of the replacement cycle according to the attenuation rate. It reflects the sensitivity of the equipment to the degradation of lubricant performance.

[0234] Calculation example:

[0235] The following parameters are set for the calculation process: Z0 = 180 days (basic maintenance replacement cycle), M = 0.01 (daily decay rate of lubricant state), c Z =5 (attenuation rate influence coefficient).

[0236] Calculate the adjustment factor:

[0237] 1+c Z ·M=1+5·0.01=1+0.05=1.05

[0238] Calculate the adjusted maintenance replacement cycle Z:

[0239]

[0240] The calculation result Z≈171.43 days shows that considering the current lubricant attenuation rate, the lubricant replacement cycle of coal mine equipment should be adjusted from the original 180 days to about 171 days. The adjustment reflects the actual impact of lubricant performance attenuation on equipment maintenance cycles, helping to ensure that equipment operates under optimal conditions and avoid potential mechanical failures due to lubricant performance degradation.

[0241] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An intelligent lubrication monitoring and control method for coal mines, characterized in that: The following steps are involved: Based on the coal mine environment, collect real-time environmental data of the coal mine equipment operation area, analyze the deviation between the current environmental parameters and the standard environmental parameters, extract the current coal mine equipment operation parameters, analyze the deviation between the current equipment operation parameters and the standard operation parameters, and obtain real-time deviation data; Based on the real-time deviation data, according to the environmental deviation index and the operation deviation index, the supply frequency of the lubricating oil is adjusted, and in combination with the service life of the equipment, the supply amount of the lubricating oil each time is adjusted to obtain the deviation adjustment parameter; Based on the deviation adjustment parameter, the state parameters of the lubricating oil in the equipment, including the viscosity, temperature and contaminant content of the lubricating oil, are collected, the lubricating state of the lubricating oil is evaluated, and a lubricating oil state evaluation result is obtained; Based on the lubricating oil status evaluation result, the lubrication status over a period of time is analyzed to evaluate the attenuation rate of the lubricating oil status. According to the attenuation rate, the maintenance and replacement cycle of the lubricating oil of the coal mine equipment is adjusted to obtain the lubricating oil maintenance adjustment information.

2. The intelligent lubrication monitoring and control method for coal mines according to claim 1 is characterized in that: The method for analyzing the deviation between the current environmental parameters and the standard environmental parameters is: Based on the coal mine environment, real-time environmental data of the coal mine equipment operation area is collected, including temperature, humidity and dust level, and standard working environment parameters corresponding to the lubricating oil are extracted to obtain environmental deviation correlation data; Based on the environmental deviation correlation data, through the formula: Calculate the environmental deviation index and obtain the environmental deviation analysis results, where G is the environmental deviation index, ω T ,ω H and ω D is the weight coefficient, T G , H G and D G are the temperature, humidity and dust level in the current coal mine environment, T std , H std and D std It is the temperature, humidity and dust level of the standard working environment of lubricating oil.

3. The intelligent lubrication monitoring and control method for coal mines according to claim 2 is characterized in that: The steps for obtaining the real-time deviation data are as follows: Based on the coal mine environment, the operating parameters of the current coal mine equipment are collected, including operating power, operating intensity and operating duration, and the standard operating parameters corresponding to the lubricating oil are obtained to obtain the operating deviation correlation data; Based on the operation deviation correlation data, through the formula: Calculate the running deviation index, where α Y , β Y and γ Y is the weight coefficient, Y is the operation deviation index, P Y is the operating power of the current device, P std is the standard power of the device, I Y is the current operating intensity, I std is the standard operating intensity of the equipment, C Y is the current running time, C std It is the standard operating time of the equipment; Based on the operation deviation index, the environmental deviation analysis result is integrated to obtain real-time deviation data.

4. The intelligent lubrication monitoring and control method for coal mines according to claim 1, characterized in that: The method for adjusting the supply frequency of lubricating oil is: Based on the real-time deviation data, extracting an environmental deviation index and an operation deviation index; Based on the environmental deviation index and the operation deviation index, the formula: F=F0+F0·(ln(G+1)·k1+Y·k2) The adjusted lubricating oil supply frequency is calculated to obtain the supply frequency adjustment result, wherein F is the adjusted lubricating oil supply frequency, F0 is the basic supply frequency, k1 and k2 are adjustment coefficients, G is the environmental deviation index, and Y is the operation deviation index.

5. The intelligent lubrication monitoring and control method for coal mines according to claim 4 is characterized in that: The steps for obtaining the deviation adjustment parameter are: Based on the real-time deviation data, extract the environmental deviation index and the operation deviation index, and collect the service life of the coal mine equipment to obtain the supply quantity related data; Based on the supply quantity related data, through the formula: Q=Q0+Q0·(a Q ·ln(G+1)+b Q ·Y+c Q ·ln(L Q +1)) Calculate the adjusted lubricant supply, where Q represents the adjusted lubricant supply, Q0 is the basic supply, and a Q , b Q and c Q is the adjustment factor, G is the environmental deviation index, Y is the operation deviation index, L Q The service life of the equipment; Based on the adjusted lubricating oil supply amount, the supply frequency adjustment result is integrated to obtain a deviation adjustment parameter.

6. The intelligent lubrication monitoring and control method for coal mines according to claim 1, characterized in that: The steps for obtaining the lubricating oil status evaluation result are as follows: Based on the deviation adjustment parameter, collecting lubricating oil state parameters in the coal mine equipment, the lubricating oil state parameters including the viscosity, temperature and pollutant content of the lubricating oil; Based on the lubricating oil state parameters, the formula: Calculate the lubrication status score of the lubricant to obtain the lubricant status evaluation result, where S represents the lubrication status score of the lubricant, S0 is the initial lubrication status score, and d S , k S and m S is the adjustment factor, V S is the currently measured viscosity of the lubricating oil, V0 is the initial viscosity of the lubricating oil, W S is the currently measured lubricating oil temperature, W0 is the reference temperature, P S is the currently measured lubricating oil contaminant content, and e is the base of the natural logarithm.

7. The intelligent lubrication monitoring and control method for coal mines according to claim 1, characterized in that: The method for evaluating the decay rate of the lubricating oil condition is: Based on the lubricating oil state evaluation result, during a target observation period, a lubrication state score at the beginning of the observation period and a lubrication state score at the end of the observation period are collected to obtain attenuation correlation data; Based on the attenuation correlation data, by the formula: Calculate the decay rate of the lubricating oil state and obtain the lubricating oil decay state evaluation result, where M is the decay rate of the lubricating oil state, S initial is the lubrication status score at the beginning of the observation period, S final is the lubrication status score at the end of the observation period, t is the time interval, p is the power exponent of the time effect, and ∈ is the stability constant.

8. The intelligent lubrication monitoring and control method for coal mines according to claim 7, characterized in that: The steps for obtaining the lubricating oil maintenance adjustment information are as follows: Based on the lubricant attenuation state assessment result, extract the basic maintenance and replacement cycle of the lubricant for coal mining equipment to obtain maintenance cycle related information; Based on the maintenance cycle association information, through the formula: Calculate the lubricant oil maintenance replacement cycle after adjustment to obtain lubricant oil maintenance adjustment information, where Z is the adjusted maintenance replacement cycle, c Z is the adjustment coefficient, and M is the decay rate of the lubricating oil state.

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