Drilling machine equipment in-use lubricating oil informatization monitoring system and method

Abstract

The invention discloses a drilling machine equipment in-use lubricating oil informatization monitoring system and method, and relates to the technical field of petroleum drilling and production equipment informatization monitoring. The system comprises a lubricating oil performance monitoring subsystem and an equipment lubricating oil information management subsystem, and the equipment lubricating oil information management subsystem obtains performance test parameters of lubricating oil from the lubricating oil performance monitoring subsystem and evaluates the quality of the in-use lubricating oil according to the performance test parameters of the lubricating oil. And evaluating whether the replacement standard is reached, and if the replacement standard is not reached, estimating the residual life. And after the estimated residual life is obtained, the sampling frequency of lubricating oil of the equipment can be reduced in subsequent maintenance, the labor input is reduced, and the oil change work on a drilling site according to quality is guided. Fine management work of drilling machine equipment is promoted, power consumption is reduced, the service life of the equipment is prolonged, safe, stable, efficient and economical operation of the equipment is achieved, and the economic benefits of drilling operation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of information monitoring of oil drilling equipment, in particular to the technical field of information monitoring of lubricating oil used in oil drilling equipment, and more specifically to an information monitoring system and method for lubricating oil used in drilling equipment. Background Art

[0002] There are a large number of drilling equipment in the field drilling base, such as generators, engines, mud pumps, gearboxes, winches, hydraulic stations and torque converters. The replacement of lubricating oil of the above-mentioned drilling equipment is one of the important contents of daily maintenance of drilling equipment. For a long time, the replacement cycle of lubricating oil of drilling equipment has been implemented according to the set usage time given by the lubricating oil manufacturer. However, after a period of monitoring of lubricating oil of in-service drilling equipment, it was found that many major performance indicators of lubricating oils that have reached the replacement cycle are still good, which is far from the oil change reference value given by relevant standards. So is the set usage time given by the lubricating oil manufacturer reasonable? If it is not replaced according to the set usage time given by the lubricating oil manufacturer, how many hours should be adjusted to replace it? This has become a real problem facing the management of drilling equipment.

[0003] Published in October 2022 in Lubricating Oil, Vol. 37, No. 5, article number: 1002-3119(2022)05-0028-06, titled "Research on Reasonable Oil Change Cycle of Diesel Engine Oil in Drilling Service Based on Oil Monitoring", the authors are Cai Qingyou, Zeng Wenqiang, Peng Yuanchun, He Jia, Yu Hongjie, Ma Shengping and Yang Lin. Aiming at the problem of short oil change cycle given by the current drilling base power generation diesel engine equipment manufacturers, this paper selected three representative power generation oil production machines to conduct a reasonable oil change cycle test. Through the monitoring and analysis of the key performance indicators of the diesel engine oil in service, combined with the oil change reference values ​​given by the relevant standards, the reasonable oil change cycle of the diesel engine oil in service is found. The test results show that within the 1000h test period, none of the indicators of the service oil of the three test diesel engines exceeded the reference value for oil change, and most of the indicators still had relevant technical margins until the end of the test, indicating that it is basically feasible to increase the oil change cycle of drilling power generation and oil production machines from the original 500h to 1000h.

[0004] Since there are many related drilling rigs used in the drilling base, how to monitor and uniformly manage the lubricating oil of all drilling rigs on the drilling base is an urgent problem to be solved. At the same time, the above-mentioned prior art only studies the oil service cycle of the generator diesel engine, which increases the oil replacement cycle of the generator diesel engine from the original 500h to 1000h. The operating conditions of other drilling rigs are different from those of the generator diesel engine, and cannot all be executed according to the mechanism replacement cycle of the generator diesel engine. If all other drilling rigs are studied according to the above-mentioned existing research methods, it will take a lot of research time. However, the operating conditions of drilling rig equipment are changeable. Even if the lubricant replacement cycle can be extended, the instability of equipment operation will be greatly increased during the extended period of time. Therefore, it is necessary to conduct actual analysis based on the actual operating conditions of the on-site equipment. Therefore, the above-mentioned prior art can only provide a feasibility study on extending the lubricant replacement cycle of drilling rig equipment. According to the different operating conditions of different drilling rig equipment, the specific extension time of the lubricant replacement cycle also varies according to the actual operating conditions. This is also the current problem of monitoring the lubricant of drilling rig equipment. Summary of the invention

[0005] In order to overcome the defects and deficiencies in the above-mentioned prior art, the present invention provides an information monitoring system and method for lubricating oil in use for drilling equipment. The purpose of the present invention is to provide an information monitoring system and method for lubricating oil in use for drilling equipment. According to the information monitoring of lubricating oil in use for drilling equipment, the original replacement of lubricating oil according to a set time period is gradually converted to "oil replacement according to quality", so as to achieve fine management and precise management of drilling equipment, and achieve the purpose of improving quality and efficiency, reducing costs and increasing efficiency. The information monitoring system for lubricating oil in use for drilling equipment of the present invention includes a lubricating oil performance monitoring subsystem and an equipment lubricating oil information management subsystem, wherein the equipment lubricating oil information management subsystem obtains the performance test parameters of the lubricating oil from the lubricating oil performance monitoring subsystem, and evaluates the quality of the lubricating oil in use according to the performance test parameters of the lubricating oil, evaluates whether it meets the replacement standard, and estimates its remaining life if it does not meet the replacement standard. After obtaining its estimated remaining life, the sampling frequency of the equipment lubricating oil can be reduced in subsequent maintenance, reducing labor input, and guiding the oil replacement work according to quality at the drilling site. The information monitoring system and method for lubricating oil in use of drilling rig equipment of the present invention promotes the refinement of the management of drilling rig equipment, reduces power consumption, prolongs the service life of equipment, realizes safe, stable, efficient and economical operation of equipment, and improves the economic benefits of drilling operations.

[0006] In order to solve the above problems existing in the prior art, the present invention is implemented through the following technical solutions.

[0007] A first aspect of the present invention provides an information monitoring system for lubricating oil in use of drilling equipment, the monitoring system comprising: a lubricating oil performance monitoring subsystem, an equipment lubricating oil information management subsystem and a database, the lubricating oil performance monitoring subsystem and the equipment lubricating oil information management subsystem are evenly connected to the database, and the equipment lubricating oil information management subsystem and the lubricating oil performance monitoring subsystem exchange data through the database;

[0008] The lubricant performance monitoring subsystem includes a sample management module, which is used to add, store, retrieve, track and display sample information; a task management module, which is used to issue lubricant sample testing tasks and lubricant test report review tasks, and monitor the execution and results of sample testing tasks and lubricant test reports; an equipment management module, which is used to record the equipment operation records corresponding to the testing personnel, equipment used and test samples by scanning the equipment electronic tags; a data filling module: used to fill in the lubricant sample test experimental data; a report generation module, which is used to generate a lubricant test report based on the filled lubricant sample test experimental data and a fixed report template; a report submission module, which is used to select the lubricant test report generated by the report generation module, and submit it for review; a report management module, which is used to record and view all report information about the lubricant monitoring project, and to view and download electronic reports and circulation cards in real time;

[0009] The equipment lubricant information management subsystem includes an equipment lubricant information management module, a detection and early warning module and a display board; wherein the equipment lubricant information management module is used to obtain the lubricant detection report generated by the lubricant performance monitoring subsystem, match the lubricant detection report with the corresponding equipment, and record the lubricant detection data of the equipment; the detection and early warning module is used to synthesize a one-dimensional comprehensive health index based on the lubricant detection data obtained by the equipment lubricant information management module, and judge whether the comprehensive health index of the equipment lubricant is in the failure interval. If it is in the failure interval, it is determined that the lubricant cannot be used any more and a replacement is prompted; otherwise, the service time and comprehensive health index of the lubricant are compared with the degradation trajectory library to find the closest degraded trajectory, and the reference weight of the degradation trajectory is determined by combining the results of four similarity measurements, namely, the overlap of time, the overlap of comprehensive health index, the overlap of equipment service years and the overlap of equipment working conditions, to comprehensively calculate the remaining life of the oil product; the display board is used to display the lubricant information in the equipment lubricant information management module and the relevant early warning information generated by the detection and early warning module.

[0010] Further preferably, the degradation trajectory library records the degradation trajectory of the degraded lubricant and the remaining life of the degraded lubricant after each sampling point, the ordinate of the degradation trajectory is the comprehensive health index, and the abscissa is the service time of the lubricant.

[0011] More preferably, in the detection and early warning module, a comparison is made with a degradation trajectory library based on the service time and comprehensive health index of the lubricant. Specifically, a comparison is made with the degradation trajectory of degraded lubricants in a degradation collection library based on the service time and comprehensive health index of the detected lubricant sample to find the closest degradation trajectory of the degraded lubricant.

[0012] Further preferably, the detection and early warning module sets a similarity time range according to the service time, block, equipment service life and working condition of the detected lubricant sample; searches the degradation trajectory library for degradation trajectories whose service time of the lubricant is within the similarity time range according to the similarity time range, and then selects the closest groups of degradation trajectories as reference samples through comparison of the comprehensive health index.

[0013] More preferably, the similarity time range is set to 100 hours before and after the service time of the lubricating oil.

[0014] Further preferably, the detection and early warning module performs similarity measurement calculation on the service time, comprehensive health index, equipment service life and equipment operating condition of the detected lubricant sample with the service time, comprehensive health index, equipment service life and equipment operating condition of the reference sample according to the similarity measurement function, and determines the reference weight of the reference sample according to the calculated overlap of time, overlap of comprehensive health index, overlap of equipment service life and overlap of equipment operating condition, and then uses the reference weights of multiple groups of reference samples and the remaining life of their sampling points to perform weighted summation to calculate the remaining life of the detected lubricant sample.

[0015] More preferably, the similarity measurement function is:

[0016] In the formula, represents the degradation index of the mth diesel engine oil in service at the ith monitoring time point; Indicates the degradation index of the nth failed diesel engine oil that changes continuously.

[0017] Further preferred weight w n The calculation of (k) is based on the similarity Based on this, and to predict the remaining life of the diesel engine oil in service, define z n (k) is:

[0018] The weight function formula of the reference sample n at time t is: Where w n (k) represents the reference weight of the k-th sampling.

[0019] More preferably, the calculation formula for the remaining life of the detected lubricating oil sample is:

[0020] In the formula, i represents the number of reference samples, w i (k) represents the reference weight of the reference sample, Represents the remaining life of the reference sample after the kth sampling; RUL m (k) represents the remaining life of the lubricating oil sample after the kth sampling.

[0021] Further preferably, in the detection and early warning module, a one-dimensional comprehensive health index is synthesized according to the lubricating oil detection data, specifically referring to:

[0022] The relative deterioration calculation is performed on each detection index in the detection data of the detected lubricating oil sample respectively; then the interval hierarchy analysis method is used to determine the weight value of each detection index, and the comprehensive health index is calculated according to the weight value and relative deterioration value of each detection index. The value range of the comprehensive health index is [0,1]. The closer the comprehensive health index is to 0, the better the health status of the detected lubricating oil sample is. Conversely, the closer the comprehensive health index is to 1, the worse the health status of the detected lubricating oil sample is.

[0023] The failure interval is [0.75, 1].

[0024] More preferably, the relative inferiority calculation is to perform comparative analysis and normalization processing on the detection indicators to eliminate the difference effects caused by different physical meanings and dimensional units;

[0025] Specifically, for the detection index whose value is larger, the better, the relative deterioration calculation formula is:

[0026]

[0027] For the detection index with smaller value, the better value, the relative deterioration calculation formula is:

[0028]

[0029] For the detection index with intermediate value, the relative deterioration calculation formula is:

[0030]

[0031] In the formula, θ represents the relative degradation value of each detection index, θ max Represents the upper limit of the detection index; θ min Represents the lower limit of the detection index; θ x Represents the initial value of the detection indicator.

[0032] More preferably, the interval analytic hierarchy process is used to determine the weight value of each detection index, specifically, an interval judgment matrix is ​​established, and the reciprocity 1-9 scaling rule is used to compare the indicators at the same level in pairs, and an interval number is used. Represents the results of pairwise comparisons, where: and According to the number of intervals, the interval judgment matrix A can be constructed as follows: ij ) m×m ;

[0033] The calculation formula for the weight value of each detection indicator is:

[0034] In the formula, λ- represents A - The maximum eigenvalue and the corresponding normalized eigenvector of A; λ+ represents + The maximum eigenvalue and the corresponding normalized eigenvector of ; w represents the weight value of the detection index, m represents the number of relative degradations, i represents the number of rows of the corresponding matrix, j represents the number of columns of the corresponding matrix, and w - Indicates A - The corresponding weights of each indicator, w + Indicates A + The corresponding weights of each indicator.

[0035] More preferably, the calculation formula of the comprehensive health index is: Where HI represents the comprehensive health index, n represents the total number of detection index categories, i represents the detection index category, θ i represents the degradation value of the i-th type of detection index, w i Represents the weight value of the i-th category detection indicator.

[0036] Further preferably, the lubricating oil test data includes but is not limited to any one or more combinations of kinematic viscosity change rate, acid value increase, base value decrease rate, moisture, closed cup flash point, fuel dilution, oxidation value, nitration value, soot, Fe content, Cu content, Al content and Si content.

[0037] Further preferably, the lubricant performance monitoring subsystem includes a PC end and a WEB end, wherein a sample management module, a task management module, an equipment management module, a data reporting module and a report generation module are all integrated in the PC end, and the lubricant test report generated by the PC end is uploaded through the WEB end for review, and the report management module is integrated in the WEB end, and the WEB end is used for project information display, report information display and standard information display.

[0038] Further preferably, the equipment lubricant information management subsystem also includes an equipment lubricant dynamic management module, an equipment lubricant file management module, a drilling rig equipment distribution management module, a lubricant usage statistics module and a lubricant usage time statistics module; the equipment lubricant dynamic management module establishes the dynamic change of lubricant according to the time series based on the detection data of lubricant collected at different sampling points, and displays its dynamic change in the form of a chart on the display panel; the equipment lubricant file management module is used to manage the lubricant file of each drilling rig equipment; the drilling rig equipment distribution management module is used to manage the distribution area of ​​the drilling rig equipment, establish a drilling rig equipment distribution map, and display it on the display panel; the lubricant usage statistics module is used to count the lubricant usage of each drilling rig equipment, and the lubricant usage time statistics module is used to count the lubricant usage of each drilling rig equipment.

[0039] A second aspect of the present invention provides an information-based monitoring method for lubricating oil in use in drilling equipment, the monitoring method comprising:

[0040] S1. Sampling the lubricating oil in use on the drilling equipment, and recording the sample information and the operating status of the sampled drilling equipment; the sample information includes the service time and oil type of the lubricating oil;

[0041] S2. Performing a quality test on the collected lubricating oil sample to obtain test data of the lubricating oil sample;

[0042] S3. Synthesize a one-dimensional comprehensive health index based on the test data of the lubricant sample to determine whether the comprehensive health index of the lubricant is in the failure range. If it is in the failure range, the lubricant is judged to be unusable and a reminder to replace the lubricant is issued. Otherwise, the service time and comprehensive health index of the lubricant are compared with the degradation trajectory library to find a similar degradation trajectory. Combine the results of the four similarity measurements of time overlap, comprehensive health index overlap, equipment service years overlap and equipment operating condition overlap to determine the reference weight of the degradation trajectory and comprehensively calculate the remaining life of the lubricant. Record the calculated comprehensive health index, remaining life and sampling time of the lubricant in the degradation trajectory library.

[0043] Further preferably, the degradation trajectory library records the degradation trajectory of the degraded lubricant and the remaining life of the degraded lubricant after each sampling point, the ordinate of the degradation trajectory is the comprehensive health index, and the abscissa is the service time of the lubricant.

[0044] More preferably, a comparison is performed between the service time and comprehensive health index of the lubricant and a degradation trajectory library. Specifically, a comparison is performed between the service time and comprehensive health index of the tested lubricant sample and the degradation trajectory of degraded lubricants in a degradation collection library to find a similar degradation trajectory of the degraded lubricant.

[0045] More preferably, a similarity time range is set according to the service time, block, equipment service life and working condition of the lubricant sample, and degradation trajectories whose service time of the lubricant in the degradation trajectory library is within the similarity time range are searched in the degradation trajectory library according to the similarity time range, and then the closest groups of degradation trajectories are selected as reference samples through comparison of the comprehensive health index.

[0046] More preferably, the similarity time range is set to 100 hours before and after the service time of the lubricating oil.

[0047] More preferably, according to the similarity measurement function, the service time, comprehensive health index, equipment service life and equipment operating condition of the lubricant sample are respectively subjected to similarity measurement calculation with the service time, comprehensive health index, equipment service life and equipment operating condition of the reference sample, and the reference weight of the reference sample is determined according to the calculated overlap of time, overlap of comprehensive health index, overlap of equipment service life and overlap of equipment operating condition, and then the remaining life of the tested lubricant sample is calculated by weighted summing up the reference weights of multiple groups of reference samples and the remaining life of their sampling points.

[0048] More preferably, the similarity measurement function is:

[0049] In the formula, represents the degradation index of the mth diesel engine oil in service at the ith monitoring time point; Indicates the degradation index of the nth failed diesel engine oil that changes continuously.

[0050] Further preferred weight w n The calculation of (k) is based on the similarity Based on this, and to predict the remaining life of the diesel engine oil in service, define z n (k) is:

[0051] The weight function formula of the reference sample n at time t is: Where w n (k) represents the reference weight of the k-th sampling.

[0052] More preferably, the calculation formula for the remaining life of the detected lubricating oil sample is:

[0053] In the formula, i represents the number of reference samples, w i (k) represents the reference weight of the reference sample, Represents the remaining life of the reference sample after the kth sampling; RUL m (k) represents the remaining life of the lubricating oil sample after the kth sampling.

[0054] Further preferably, a one-dimensional comprehensive health index is synthesized based on the lubricating oil test data, specifically referring to:

[0055] The relative deterioration calculation is performed on each detection index in the detection data of the detected lubricating oil sample respectively; then the interval hierarchy analysis method is used to determine the weight value of each detection index, and the comprehensive health index is calculated according to the weight value and relative deterioration value of each detection index. The value range of the comprehensive health index is [0,1]. The closer the comprehensive health index is to 0, the better the health status of the detected lubricating oil sample is. Conversely, the closer the comprehensive health index is to 1, the worse the health status of the detected lubricating oil sample is.

[0056] More preferably, the failure interval is [0.75, 1].

[0057] More preferably, the relative inferiority calculation is to perform comparative analysis and normalization processing on the detection indicators to eliminate the difference effects caused by different physical meanings and dimensional units;

[0058] Specifically, for the detection index whose value is larger, the better, the relative deterioration calculation formula is:

[0059]

[0060] For the detection index with smaller value, the better value, the relative deterioration calculation formula is:

[0061]

[0062] For the detection index with intermediate value, the relative deterioration calculation formula is:

[0063]

[0064] In the formula, θ represents the relative degradation value of each detection index, θ max Represents the upper limit of the detection index; θ min Represents the lower limit of the detection index; θ x Represents the initial value of the detection indicator.

[0065] More preferably, the interval analytic hierarchy process is used to determine the weight value of each detection index, specifically, an interval judgment matrix is ​​established, and the reciprocity 1-9 scaling rule is used to compare the indicators at the same level in pairs, and an interval number is used. Represents the results of pairwise comparisons, where: and According to the number of intervals, the interval judgment matrix A can be constructed as follows: ij ) m×m ;

[0066] The calculation formula for the weight value of each detection indicator is:

[0067] In the formula, λ- represents A - The maximum eigenvalue and the corresponding normalized eigenvector of A; λ+ represents + The maximum eigenvalue and the corresponding normalized eigenvector of ; w represents the weight value of the detection index, m represents the number of relative degradations, i represents the number of rows of the corresponding matrix, j represents the number of columns of the corresponding matrix, and w - Indicates A - The corresponding weights of each indicator, w + Indicates A + The corresponding weights of each indicator.

[0068] More preferably, the calculation formula of the comprehensive health index is: Where HI represents the comprehensive health index, n represents the total number of detection index categories, i represents the detection index category, θ i represents the degradation value of the i-th type of detection index, w i Represents the weight value of the i-th category detection indicator.

[0069] Further preferably, the lubricating oil test data includes but is not limited to any one or more combinations of kinematic viscosity change rate, acid value increase, base value decrease rate, moisture, closed cup flash point, fuel dilution, oxidation value, nitration value, soot, Fe content, Cu content, Al content and Si content.

[0070] Compared with the prior art, the beneficial technical effects brought by the present invention are as follows:

[0071] 1. The information monitoring system for lubricating oil in use of drilling equipment of the present invention includes a lubricating oil performance monitoring subsystem and an equipment lubricating oil information management subsystem, wherein the equipment lubricating oil information management subsystem obtains the performance test parameters of the lubricating oil from the lubricating oil performance monitoring subsystem, and evaluates the quality of the lubricating oil in use according to the performance test parameters of the lubricating oil, and evaluates whether it meets the replacement standard. If it does not meet the replacement standard, its remaining life is estimated. After obtaining its estimated remaining life, the sampling frequency of the equipment lubricating oil can be reduced in the maintenance, the labor input can be reduced, and the oil replacement work according to the quality can be guided at the drilling site. The information monitoring system and method for lubricating oil in use of drilling equipment of the present invention promotes the refinement of the management of drilling equipment, reduces power consumption, prolongs the service life of equipment, realizes safe, stable, efficient and economical operation of equipment, and improves the economic benefits of drilling operations.

[0072] 2. The lubricant performance monitoring subsystem of the present invention has established a laboratory monitoring standardization management function with sampling-collecting-testing-sample management-equipment management-report issuance-report review and approval as the main functions, standardizing the lubricant monitoring laboratory management process and facilitating the advancement of the entire project. The equipment lubricant information management subsystem has established the statistical, analysis, query and display functions of equipment lubrication information, equipment lubrication files and equipment lubrication dynamics based on monitoring data statistics.

[0073] 3. The informatization monitoring system and monitoring method of the lubricating oil in use of drilling rig equipment of the present invention are adopted to convert the original "oil change on time" into "oil change according to quality". The average oil use time of diesel engine oil in Sichuan and Chongqing is extended by 46.25% compared with the recommended time of "oil change on time". Among them, Mobil CI-4 is extended from the original 1000h to 1450h on average, an extension of 45%; Kunlun CF-4 is extended from the original 500h to 600h on average, an extension of 20%; Carter special oil and Volvo special oil are extended from the original 500h to 800h on average, an extension of 60%. Since the comprehensive implementation of the oil change according to quality work in July 2021, certain economic benefits have been achieved by extending the lubricating oil replacement cycle. According to the actual consumption statistics of the material management departments and grassroots teams of each unit from July to November, a total of 1,461 diesel engine units of various series have carried out extended oil change work, saving about 2.245 million yuan.

[0074] 4. The present invention integrates the remaining life prediction of the lubricating oil in use into the monitoring system and the monitoring method, further reducing the sampling monitoring frequency and reducing the manual input. By analyzing the current monitoring data, the next monitoring time is predicted, which not only meets the monitoring needs of oil replacement according to quality, but also further promotes the work of improving quality and increasing efficiency, and can further improve the efficiency of oil replacement according to quality.

[0075] 5. The monitoring system and method of the present invention introduces "relative degradation value" and "comprehensive health index" to evaluate and calculate the status of the lubricating oil in use, and conducts a comprehensive evaluation of the lubricating oil in use based on the test results of multiple indicators, rather than judging the performance of the lubricating oil in use based on a certain indicator. The evaluation system is more scientific and the evaluation results are more accurate.

[0076] 6. The monitoring system and method of the present invention proposes a prediction of the remaining life of the in-use lubricant based on the similarity of degradation trajectories. Considering the impact of relevant influencing factors on the prediction, the degradation trajectories can be considered similar in theory. Therefore, it is believed that the life of the diesel engine oil in service can be calculated by the weighted average of the remaining life of the similar diesel engine oil that has failed at a certain moment, and the similarity can be further determined by similarity matching of the degradation trend or status monitoring data between the in-service diesel engine oil and the failed diesel engine oil. Its prediction results are more referenceable and more accurate.

[0077] 7. With the monitoring system and method of the present invention, as the amount of monitoring data increases, the data in the degradation trajectory library will become more and more optimized and richer, and the matching degree of the degradation trajectory of the lubricating oil sample detection data will become higher and higher, the accuracy of judging the lubricating oil state will be higher, and the calculated value of the remaining life of the lubricating oil will also be more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 is a system structure diagram of the monitoring system of the present invention;

[0079] Figure 2 It is a data interaction structure diagram of the lubricating oil performance monitoring subsystem and the equipment lubricating oil information management subsystem in the monitoring system of the present invention;

[0080] Figure 3 It is a data interaction diagram between the PC end and the WBE end of the lubricating oil performance monitoring subsystem in the monitoring system of the present invention;

[0081] Figure 4 This is a system structure diagram of the equipment lubricating oil information management subsystem of the present invention;

[0082] Figure 5 It is the CI-class diesel engine lubricant oil degradation trajectory library;

[0083] Figure 6 It is the degradation trajectory library of CF-class diesel engine lubricating oil;

[0084] Figure 7 It is a database of lubricating oil degradation trajectories for Carter diesel engines;

[0085] Figure 8 It is a Volvo diesel engine lubricant degradation trajectory library. DETAILED DESCRIPTION

[0086] The following will be combined with the drawings of the present invention specification to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0087] Example 1

[0088] As a preferred embodiment of the present invention, refer to the attached specification Figure 1 As shown, this embodiment discloses an information monitoring system for lubricating oil in use of drilling equipment, which includes: a lubricating oil performance monitoring subsystem, an equipment lubricating oil information management subsystem and a database. Figure 2 As shown, the lubricant performance monitoring subsystem and the equipment lubricant information management subsystem establish data connection with the database, and the equipment lubricant information management subsystem and the lubricant performance monitoring subsystem exchange data through the database.

[0089] Further, as the instruction manual Figure 1 As shown, the lubricant performance monitoring subsystem includes a sample management module, which is used to add, store, retrieve, track sample trajectories and display sample information; a task management module, which is used to issue lubricant sample testing tasks and lubricant testing report review tasks, and monitor the execution and results of sample testing tasks and lubricant testing reports; an equipment management module, which is used to record the equipment operation records corresponding to the testing personnel, the equipment used and the tested samples by scanning the equipment electronic tags; a data filling module: used to fill in the lubricant sample testing experimental data; a report generation module, which is used to generate a lubricant testing report based on the filled lubricant sample testing experimental data and a fixed report template; a report submission module, which is used to select the lubricant testing report generated by the report generation module, and submit it for review; a report management module, which is used to record and view all report information about the lubricant monitoring project, and to view and download electronic reports and circulation cards in real time.

[0090] As the instruction manual Figure 4As shown, the equipment lubricant information management subsystem includes an equipment lubricant information management module, a detection and early warning module and a display board; wherein the equipment lubricant information management module is used to obtain the lubricant detection report generated by the lubricant performance monitoring subsystem, correspond the lubricant detection report with the corresponding equipment, and record the lubricant detection data of the equipment; the detection and early warning module is used to synthesize a one-dimensional comprehensive health index based on the lubricant detection data obtained by the equipment lubricant information management module, and judge whether the comprehensive health index of the equipment lubricant is in the failure interval. If it is in the failure interval, it is determined that the lubricant cannot be used any more and a replacement is prompted; otherwise, the service time and comprehensive health index of the lubricant are compared with the degradation trajectory library to find the closest degraded trajectory, and the reference weight of the degradation trajectory is determined by combining the results of the four similarity measurements of time overlap, comprehensive health index overlap, equipment service life overlap and equipment operating condition overlap, and the remaining life of the oil is comprehensively calculated; the display board is used to display the lubricant information in the equipment lubricant information management module and the relevant early warning information generated by the detection and early warning module.

[0091] In this embodiment, the lubricant performance monitoring subsystem can be loaded in the laboratory to manage the lubricant performance test data and lubricant samples, so as to facilitate the experimenters to operate and record the test data. The equipment lubricant information management subsystem can be deployed in the cloud or in an internal LAN for use at the drilling site.

[0092] In this embodiment, the equipment lubricant information management subsystem obtains the performance test parameters of the lubricant from the lubricant performance monitoring subsystem, and evaluates the quality of the lubricant in use based on the performance test parameters of the lubricant to evaluate whether it meets the replacement standard. If it does not meet the replacement standard, its remaining life is estimated. After obtaining its estimated remaining life, the sampling frequency of the equipment lubricant can be reduced in the maintenance, reducing labor input and guiding the oil replacement work according to quality at the drilling site.

[0093] Example 2

[0094] As another preferred embodiment of the present invention, this embodiment is a further detailed supplement and elaboration of the technical solution of the present invention on the basis of the above-mentioned embodiment 1.

[0095] As an implementation of this embodiment, the degradation trajectory library records the degradation trajectory of the degraded lubricant and the remaining life of the degraded lubricant after each sampling point, the ordinate of the degradation trajectory is the comprehensive health index, and the abscissa is the service time of the lubricant.

[0096] In this embodiment, the applicant analyzes the monitoring data of 384 types of diesel engine lubricants, combines the existing monitoring data to predict the future data change trend, and performs trend analysis based on the ARMA time series prediction model. This method is a common time series prediction analysis model and a typical method for studying stationary random processes. The applicant uses monitoring data and operating time to establish a degradation trajectory library for 4 types of oil products and 79 degradation trajectory models within the complete life cycle, as shown in the attached manual. Figure 5 , Attachment Figure 6 , Attachment Figure 7 and attached Figure 8 As shown, Figure 5 It is a CI-class diesel engine lubricant degradation trajectory library. Figure 6 It is the degradation trajectory library of CF-class diesel engine lubricating oil. Figure 7 It is a Carter-specific diesel engine lubricant degradation trajectory library. Figure 8 It is a Volvo diesel engine lubricant degradation trajectory library.

[0097] In this embodiment, a corresponding degradation trajectory library is selected according to the equipment model of the lubricating oil sample, and then a degradation trajectory in the corresponding degradation trajectory library is selected according to the equipment usage condition of the lubricating oil sample. Then, when the lubricating oil sample is sampled, the service time and the comprehensive health index of the lubricating oil are compared with the degradation trajectory. Specifically, the degradation trajectory of the degraded lubricating oil in the degradation collection library is compared with the service time and the comprehensive health index of the detected lubricating oil sample to find the closest degradation trajectory of the degraded lubricating oil.

[0098] The specific comparison process is as follows: the detection and warning module sets a similarity time range according to the service life of the detected lubricant sample, and searches the degradation trajectory library for degradation trajectories whose service life of the degraded lubricant is within the similarity time range, and then selects the closest groups of degradation trajectories as reference samples through comparison of the comprehensive health index.

[0099] As an example, the similarity time range is set to 100 hours before and after the service time of the lubricant.

[0100] Further preferably, the detection and early warning module performs similarity measurement calculation on the service time, comprehensive health index, equipment service life and equipment operating condition of the detected lubricant sample with the service time, comprehensive health index, equipment service life and equipment operating condition of the reference sample according to the similarity measurement function, and determines the reference weight of the reference sample according to the calculated overlap of time, overlap of comprehensive health index, overlap of equipment service life and overlap of equipment operating condition, and then uses the reference weights of multiple groups of reference samples and the remaining life of their sampling points to perform weighted summation to calculate the remaining life of the detected lubricant sample.

[0101] Example 3

[0102] As another preferred embodiment of the present invention, this embodiment is an actual prediction case proposed on the basis of the above embodiment 2. This case is a case of predicting the remaining life of a CI-class diesel engine lubricant. There is a set of relevant detection indicators and service time information of the service diesel engine lubricant as shown in Table 1. Through the system content described in the above embodiment 2, the detection data is synthesized into a one-dimensional comprehensive health index, and then the service time and the obtained one-dimensional comprehensive health index are brought into the following table: Figure 5 The CI-level diesel engine lubricant degradation trajectory library shown in the figure is used to find similar degradation trajectory curves and then calculate their remaining life values.

[0103] Table 1 shows the test data of CI grade diesel engine lubricating oil in the case

[0104]

[0105] The similarity time range is set to 100 hours before and after, that is, the test data in the time range of [197h, 397h] are used as the comparison range. In the existing CI-level diesel engine lubricant degradation trajectory library, there are 3 test data in this time range, namely 278h, 327h and 373h.

[0106] The similarity measurement with existing samples is carried out from four aspects: the first is the overlap of time, the second is the overlap of test data, the third is the overlap of equipment service life, and the fourth is the similarity of equipment working conditions (blocks). The reference weight of each sample is determined based on the results of the similarity measurement. The relevant calculations are shown in Table 2 below.

[0107] Table 2 is the similarity and weight calculation table

[0108]

[0109] The matching degree of the test data in Table 2 above is determined by the comprehensive health index HI value of each reference sample and lubricant sample; the matching degree of service life is accurate to the year, and the matching degree differs by 1% for a difference of 1 year; the matching degree of operating conditions mainly considers the block where the diesel engine is located, the matching degree of the same drilling team is 100%, the matching degree of different drilling teams in the same area is 95%, and the matching degree of different areas is 90%.

[0110] Remaining life calculation: The remaining life calculation formula of the target lubricant sample is RUL=S 1 *W 1 +S 2 *W 2 +S 3 *W 3 , where S 1 , S 2 , S 3Respectively represent the remaining life of the reference sample at their respective time points, W 1 , W 2 , W 3 Represent the weight of each sample. Figure 5 The existing CI-class diesel engine lubricant degradation trajectory library is shown in Figure 1. 1 , S 2 , S 3 Substitute the values ​​into the calculation and we get: RUL=1090*0.33+1124*0.34+1270*0.33=1161h.

[0111] Example 4

[0112] As another preferred embodiment of the present invention, this embodiment is a further detailed explanation and supplement to the technical solution of the present invention on the basis of the above-mentioned embodiment 1, embodiment 2 or embodiment 3.

[0113] In this embodiment, the similarity measurement function is:

[0114] In the formula, It represents the degradation index of the mth diesel engine oil in service at the i-th monitoring time point. Indicates the degradation index of the nth failed diesel engine oil that changes continuously.

[0115] Further preferred weight w n The calculation of (k) is based on the similarity Based on this, and to predict the remaining life of the diesel engine oil in service, define z n (k) is:

[0116] The weight function formula of the reference sample n at time t is: Where w n (k) represents the reference weight of the k-th sampling.

[0117] The calculation formula for the remaining life of the lubricating oil sample is:

[0118] In the formula, i represents the number of reference samples, w i (k) represents the reference weight of the reference sample, Represents the remaining life of the reference sample after the kth sampling; RUL m (k) represents the remaining life of the lubricating oil sample after the kth sampling.

[0119] As the amount of detection data increases, the system will gradually optimize the degradation trajectory library and enrich the data in the degradation trajectory library. The higher the matching degree, the more accurate the system will be in judging the oil status, and the calculated value of the remaining life of the lubricant will also be more accurate.

[0120] Example 5

[0121] As another preferred embodiment of the present invention, this embodiment further elaborates and supplements the technical solution of the present invention on the basis of the above-mentioned embodiment 1, embodiment 2, embodiment 3 or embodiment 4.

[0122] In the detection and early warning module of this embodiment, a one-dimensional comprehensive health index is synthesized based on the lubricating oil detection data, specifically referring to:

[0123] The relative deterioration calculation is performed on each test index in the test data of the lubricating oil sample. Then, the interval analytic hierarchy process is used to determine the weight value of each test index. The comprehensive health index is calculated according to the weight value and relative deterioration value of each test index. The value range of the comprehensive health index is [0,1]. The closer the comprehensive health index is to 0, the better the health status of the lubricating oil sample is. On the contrary, the closer the comprehensive health index is to 1, the worse the health status of the lubricating oil sample is. For specific evaluation registration, please refer to Table 3.

[0124] Table 3 is the comprehensive health index evaluation level table

[0125]

[0126]

[0127] The relative inferiority calculation is to compare and analyze the test indicators and normalize them to eliminate the difference caused by different physical meanings and dimensional units;

[0128] Specifically, for the detection index whose value is larger, the better, the relative deterioration calculation formula is:

[0129]

[0130] For the detection index with smaller value, the better value, the relative deterioration calculation formula is:

[0131]

[0132] For the detection index with intermediate value, the relative deterioration calculation formula is:

[0133]

[0134] In the formula, θ represents the relative degradation value of each detection index, θmax represents the upper limit value of the detection index; θmin represents the lower limit value of the detection index; θx represents the initial value of the detection index.

[0135] The interval analytic hierarchy process is used to determine the weight value of each detection index. Specifically, an interval judgment matrix is ​​established, as shown in Table 4 below, and the reciprocity 1-9 scaling rule is used to compare the indicators at the same level pairwise.

[0136] Table 4 shows the reciprocity 1-9 scaling rules

[0137]

[0138]

[0139] Use an interval number Represents the results of pairwise comparisons, where: and According to the number of intervals, the interval judgment matrix A can be constructed as follows: ij ) m×m ;

[0140] The calculation formula for the weight value of each detection indicator is:

[0141] In the formula, λ- represents A - The maximum eigenvalue and the corresponding normalized eigenvector of A; λ+ represents + The maximum eigenvalue and the corresponding normalized eigenvector of ; w represents the weight value of the detection index, m represents the number of relative degradations, i represents the number of rows of the corresponding matrix, j represents the number of columns of the corresponding matrix, and w - Indicates A - The corresponding weights of each indicator, w + Indicates A + The corresponding weights of each indicator.

[0142] The calculation formula of comprehensive health index is: Where HI represents the comprehensive health index, n represents the total number of detection index categories, i represents the detection index category, θ i represents the degradation value of the i-th type of detection index, w i Represents the weight value of the i-th category detection indicator.

[0143] As an example, the lubricating oil test data includes but is not limited to any one or more combinations of kinematic viscosity change rate, acid value increase value, base value decrease rate, moisture, closed cup flash point, fuel dilution, oxidation value, nitration value, soot, Fe content, Cu content, Al content and Si content.

[0144] Example 6

[0145] As another preferred embodiment of the present invention, this embodiment further elaborates and supplements the technical solution of the present invention on the basis of the above-mentioned embodiment 1, embodiment 2, embodiment 3, embodiment 4 or embodiment 5.

[0146] In this embodiment, refer to the attached manual Figure 1 and attached Figure 2 As shown, the lubricant performance monitoring subsystem includes a PC terminal and a WEB terminal, wherein the sample management module, task management module, equipment management module, data reporting module and report generation module are all integrated in the PC terminal, and the lubricant test report generated by the PC terminal is uploaded through the WEB terminal for review, and the report management module is integrated in the WEB terminal, and the WEB terminal is used for project information display, report information display and standard information display. This embodiment divides the lubricant performance monitoring subsystem into a PC terminal and a WEB terminal, which is convenient for experimental personnel to operate, and also convenient for data interaction and upload.

[0147] As the instruction manual Figure 3 As shown, the lubricant performance monitoring subsystem inputs lubricant monitoring data through the PC, exports the data and uploads it to the WEB for review, thereby realizing the monitoring of lubricant performance.

[0148] As the instruction manual Figure 1 And the instruction manual Figure 4 As shown, the equipment lubricant information management subsystem also includes an equipment lubricant dynamic management module, an equipment lubricant file management module, a drilling rig equipment distribution management module, a lubricant usage statistics module and a lubricant usage time statistics module; the equipment lubricant dynamic management module establishes the dynamic change of lubricant according to the time series based on the detection data of lubricant collected at different sampling points, and displays its dynamic change in the form of a chart on the display panel; the equipment lubricant file management module is used to manage the lubricant files of each drilling rig equipment; the drilling rig equipment distribution management module is used to manage the distribution area of ​​the drilling rig equipment, establish a drilling rig equipment distribution map, and display it on the display panel; the lubricant usage statistics module is used to count the lubricant usage of each drilling rig equipment, and the lubricant usage time statistics module is used to count the lubricant usage time of each drilling rig equipment.

[0149] In this embodiment, the equipment lubricant information management subsystem includes lubricant usage and monitoring data storage. The experimental data is uploaded to the system, and equipment lubrication dynamics and archive display, detection and early warning analysis, lubricant usage statistics display, lubricant usage time statistics display, etc. are realized through lubricant performance monitoring and information management.

[0150] Example 7

[0151] As another preferred embodiment of the present invention, this embodiment discloses an information-based monitoring method for lubricating oil in use of drilling equipment, the monitoring method comprising:

[0152] S1. Sampling the lubricating oil in use on the drilling equipment, and recording the sample information and the operating status of the sampled drilling equipment; the sample information includes the service time and oil type of the lubricating oil;

[0153] S2. Performing a quality test on the collected lubricating oil sample to obtain test data of the lubricating oil sample;

[0154] S3. Synthesize a one-dimensional comprehensive health index based on the test data of the lubricant sample to determine whether the comprehensive health index of the lubricant is in the failure range. If it is in the failure range, the lubricant is judged to be unusable and a reminder to replace the lubricant is issued. Otherwise, the service time and comprehensive health index of the lubricant are compared with the degradation trajectory library to find a similar degradation trajectory. Combine the results of the four similarity measurements of time overlap, comprehensive health index overlap, equipment service years overlap and equipment operating condition overlap to determine the reference weight of the degradation trajectory and comprehensively calculate the remaining life of the lubricant. Record the calculated comprehensive health index, remaining life and sampling time of the lubricant in the degradation trajectory library.

[0155] In this embodiment, the degradation trajectory library records the degradation trajectory of the degraded lubricant and the remaining life of the degraded lubricant after each sampling point. The ordinate of the degradation trajectory is the comprehensive health index, and the abscissa is the service time of the lubricant.

[0156] In this embodiment, the applicant analyzes the monitoring data of 384 types of diesel engine lubricants, combines the existing monitoring data to predict the future data change trend, and performs trend analysis based on the ARMA time series prediction model. This method is a common time series prediction analysis model and a typical method for studying stationary random processes. The applicant uses monitoring data and operating time to establish a degradation trajectory library for 4 types of oil products and 79 degradation trajectory models within the complete life cycle, as shown in the attached manual. Figure 5 , Attachment Figure 6 , Attachment Figure 7 and attached Figure 8 As shown, Figure 5 It is a CI-class diesel engine lubricant degradation trajectory library. Figure 6 It is the degradation trajectory library of CF-class diesel engine lubricating oil. Figure 7 It is a Carter-specific diesel engine lubricant degradation trajectory library. Figure 8It is a degradation trajectory library for Volvo diesel engine lubricant. As the amount of test data increases, the degradation trajectory library will be gradually optimized and enriched. The higher the matching degree, the more accurate the system will be in judging the oil status, and the calculated value of the remaining life of the lubricant will be more accurate.

[0157] In this embodiment, when sampling, ensure that the equipment is in working condition or within 5 minutes of shutdown. According to the characteristics of various equipment at the drilling site, samples are taken at the scale ports of the diesel engine and generator, winch, torque converter, and hydraulic coupler through detection data verification, the transmission box, mud pump, and tool hydraulic station are sampled at the oil drain port, and the disc brake hydraulic station is sampled at the refueling port.

[0158] Write the name of the sampling equipment and detailed information of the oil product on the label and stick it on the sampling bottle. Select a sampling tube of suitable length, install it on the head of the vacuum sampler, and then install it on the plastic bottle. Insert the sampling tube from the oil tank cap (or the scale port, or the oil drain port) to the appropriate depth (10cm from the bottom is best), extract 70%-75% of the bottle volume and cover the lid immediately, clean up the on-site pollution caused by sampling, and discard the sampling tube and other waste into the corresponding trash can.

[0159] Example 8

[0160] As another preferred embodiment of the present invention, this embodiment is a further detailed supplement and elaboration of the technical solution of the present invention based on the above-mentioned embodiment 7. In this embodiment, the service time and comprehensive health index of the lubricant are compared with the degradation trajectory library, specifically, the service time and comprehensive health index of the detected lubricant sample are compared with the degradation trajectory of the degraded lubricant in the degradation collection library to find the degradation trajectory of the degraded lubricant that is close to it.

[0161] Specifically, a similarity time range is set according to the service life of the lubricant sample, and degradation trajectories whose service life of the degraded lubricant in the degradation trajectory library is within the similarity time range are searched in the degradation trajectory library according to the similarity time range. Then, the closest groups of degradation trajectories are selected as reference samples through comparison of the comprehensive health index.

[0162] As an example, the similarity time range is set to 100 hours before and after the service time of the lubricant.

[0163] According to the similarity measurement function, the service time, comprehensive health index, equipment service life and equipment operating condition of the lubricant sample are respectively measured and calculated with the service time, comprehensive health index, equipment service life and equipment operating condition of the reference sample. The reference weight of the reference sample is determined according to the calculated overlap of time, overlap of comprehensive health index, overlap of equipment service life and overlap of equipment operating condition. Then, the remaining life of the tested lubricant sample is calculated by weighted summing up the reference weights of multiple groups of reference samples and the remaining life of their sampling points.

[0164] Among them, the similarity measurement function is the similarity measurement function is In the formula, It represents the degradation index of the mth diesel engine oil in service at the i-th monitoring time point. Indicates the degradation index of the nth failed diesel engine oil that changes continuously.

[0165] Further preferred weight w n The calculation of (k) is based on the similarity Based on this, and to predict the remaining life of the diesel engine oil in service, define z n (k) is:

[0166] The weight function formula of the reference sample n at time t is: Where w n (k) represents the reference weight of the k-th sampling.

[0167] The calculation formula for the remaining life of the lubricating oil sample is:

[0168] In the formula, i represents the number of reference samples, w i (k) represents the reference weight of the reference sample, Represents the remaining life of the reference sample after the kth sampling; RUL m (k) represents the remaining life of the lubricating oil sample after the kth sampling.

[0169] Example 9

[0170] As another preferred embodiment of the present invention, this embodiment is a specific actual prediction case proposed on the basis of the above-mentioned embodiment 7 or embodiment 8. This case is a case of predicting the remaining life of a CI-grade diesel engine lubricant. There is a set of service diesel engine lubricant related detection indicators and service time information as shown in Table 5. Through the method described in the above embodiment 8, the detection data is synthesized into a one-dimensional comprehensive health index, and then the service time and the obtained one-dimensional comprehensive health index are brought into the following table: Figure 5The CI-level diesel engine lubricant degradation trajectory library shown in the figure is used to find similar degradation trajectory curves and then calculate their remaining life values.

[0171] Table 5 shows the test data of CI-grade diesel engine lubricating oil in the case

[0172]

[0173] The similarity time range is set to 100 hours before and after, that is, the test data in the time range of [197h, 397h] are used as the comparison range. In the existing CI-level diesel engine lubricant degradation trajectory library, there are 3 test data in this time range, namely 278h, 327h and 373h.

[0174] The similarity measurement with existing samples is carried out from four aspects: the first is the overlap of time, the second is the overlap of test data, the third is the overlap of equipment service life, and the fourth is the similarity of equipment working conditions (blocks). The reference weight of each sample is determined based on the results of the similarity measurement. The relevant calculations are shown in Table 6 below.

[0175] Table 6 is the similarity and weight calculation table

[0176]

[0177]

[0178] The matching degree of the test data in the above Table 6 is determined by the comprehensive health index HI value of each reference sample and lubricant sample; the matching degree of service life is accurate to the year, and the matching degree differs by 1% for a difference of 1 year; the matching degree of operating conditions mainly considers the block where the diesel engine is located, the matching degree of the same drilling team is 100%, the matching degree of different drilling teams in the same area is 95%, and the matching degree of different areas is 90%.

[0179] Remaining life calculation: The remaining life calculation formula of the target lubricant sample is RUL=S 1 *W 1 +S 2 *W 2 +S 3 *W 3 , where S 1 , S 2 , S 3 Respectively represent the remaining life of the reference sample at their respective time points, W 1 , W 2 , W 3 Represent the weight of each sample. Figure 5 The existing CI-class diesel engine lubricant degradation trajectory library is shown in Figure 1. 1 , S 2 , S 3Substitute the values ​​into the calculation and we get: RUL=1090*0.33+1124*0.34+1270*0.33=1161h.

[0180] Example 10

[0181] As another preferred embodiment of the present invention, this embodiment is a further detailed supplement and elaboration of the technical solution of the present invention on the basis of the above-mentioned embodiment 7, embodiment 8 or embodiment 9.

[0182] In this embodiment, a one-dimensional comprehensive health index is synthesized based on the lubricating oil test data, specifically referring to:

[0183] The relative deterioration of each test index in the test data of the lubricating oil sample is calculated respectively; then the interval hierarchical analysis method is used to determine the weight value of each test index, and the comprehensive health index is calculated according to the weight value and relative deterioration value of each test index. The value range of the comprehensive health index is [0,1]. The closer the comprehensive health index is to 0, the better the health status of the lubricating oil sample is. Conversely, the closer the comprehensive health index is to 1, the worse the health status of the lubricating oil sample is. For specific evaluation registration, please refer to Table 7.

[0184] Table 7 is the comprehensive health index evaluation level table

[0185]

[0186] The relative inferiority calculation is to compare and analyze the test indicators and normalize them to eliminate the difference caused by different physical meanings and dimensional units;

[0187] Specifically, for the detection index whose value is larger, the better, the relative deterioration calculation formula is:

[0188]

[0189] For the detection index with smaller value, the better value, the relative deterioration calculation formula is:

[0190]

[0191] For the detection index with intermediate value, the relative deterioration calculation formula is:

[0192]

[0193] In the formula, θ represents the relative degradation value of each detection index, θ max Represents the upper limit of the detection index; θ min Represents the lower limit of the detection index; θ x Represents the initial value of the detection indicator.

[0194] The interval analytic hierarchy process is used to determine the weight value of each detection index. Specifically, an interval judgment matrix is ​​established, as shown in Table 8 below, and the reciprocity 1-9 scaling rule is used to compare the indicators at the same level pairwise.

[0195] Table 8 shows the reciprocity 1-9 scaling rules

[0196]

[0197] Use an interval number Represents the results of pairwise comparisons, where: and According to the number of intervals, the interval judgment matrix A can be constructed as follows: ij ) m×m ;

[0198] The calculation formula for the weight value of each detection indicator is:

[0199] In the formula, λ- represents A - The maximum eigenvalue and the corresponding normalized eigenvector of A; λ+ represents + The maximum eigenvalue and the corresponding normalized eigenvector of ; w represents the weight value of the detection index, m represents the number of relative degradations, i represents the number of rows of the corresponding matrix, j represents the number of columns of the corresponding matrix, and w - Indicates A - The corresponding weights of each indicator, w + Indicates A + The corresponding weights of each indicator.

[0200] The calculation formula of comprehensive health index is: Where HI represents the comprehensive health index, n represents the total number of detection index categories, i represents the detection index category, θ i represents the degradation value of the i-th type of detection index, w i Represents the weight value of the i-th category detection indicator.

[0201] As an example, the lubricating oil test data includes but is not limited to any one or more combinations of kinematic viscosity change rate, acid value increase value, base value decrease rate, moisture, closed cup flash point, fuel dilution, oxidation value, nitration value, soot, Fe content, Cu content, Al content and Si content.

Claims

1. The information monitoring system for lubricating oil in use of drilling equipment is characterized by: The monitoring system includes a lubricant performance monitoring subsystem, an equipment lubricant information management subsystem and a database. The lubricant performance monitoring subsystem and the equipment lubricant information management subsystem are evenly connected to the database, and the equipment lubricant information management subsystem and the lubricant performance monitoring subsystem exchange data through the database. The lubricant performance monitoring subsystem includes a sample management module, which is used to add, store, retrieve, track sample trajectories, and display samples; The task management module is used to issue lubricant sample testing tasks and lubricant test report review tasks, and monitor the execution and results of sample testing tasks and lubricant test reports; The equipment management module is used to record the equipment operation records corresponding to the testing personnel, the equipment used and the test samples by scanning the equipment electronic tags; Data filling module: used to fill in the lubricating oil sample test data; A report generation module is used to generate a lubricant test report based on the filled lubricant sample test experimental data and a fixed report template; The report submission module is used to select the lubricant test report generated by the report generation module and submit it for review; Report management module, used to record and view all report information about lubricant monitoring projects, and to view and download electronic reports and circulation cards in real time; The equipment lubricating oil information management subsystem includes an equipment lubricating oil information management module, a detection and early warning module, and a display board; wherein the equipment lubricating oil information management module is used to obtain the lubricating oil detection report generated by the lubricating oil performance monitoring subsystem, match the lubricating oil detection report with the corresponding equipment, and record the lubricating oil detection data of the equipment; The detection and early warning module is used to synthesize a one-dimensional comprehensive health index based on the lubricating oil detection data obtained by the equipment lubrication information management module, and judge whether the comprehensive health index of the equipment lubricating oil is in the failure interval. If it is in the failure interval, it is determined that the lubricating oil cannot be used any more, and a replacement reminder is given; Otherwise, the service time and comprehensive health index of the lubricant are compared with the degradation trajectory library to find the closest degraded trajectory. The reference weight of the degradation trajectory is determined by combining the results of four similarity measurements: time overlap, comprehensive health index overlap, equipment service years overlap, and equipment operating condition overlap, and the remaining life of the oil is calculated comprehensively. The display board is used to display the lubricating oil information in the equipment lubrication information management module and the related warning information generated by the detection and warning module.

2. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 1, characterized in that: The degradation trajectory library records the degradation trajectory of the degraded lubricant and the remaining life of the degraded lubricant after each sampling point. The ordinate of the degradation trajectory is the comprehensive health index, and the abscissa is the service time of the lubricant.

3. The information monitoring system for lubricating oil in use of drilling equipment according to claim 1 or 2, characterized in that: In the detection and early warning module, a comparison is performed with the degradation trajectory library based on the service time and comprehensive health index of the lubricant oil. Specifically, a comparison is performed with the degradation trajectory of degraded lubricants in the degradation collection library based on the service time and comprehensive health index of the detected lubricant oil sample to find the closest degradation trajectory of the degraded lubricant oil.

4. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 3, characterized in that: The detection and early warning module sets a similarity time range according to the service time, block, equipment service life and working conditions of the detected lubricant sample, and searches the degradation trajectory library for degradation trajectories whose service time of the lubricant is within the similarity time range. Then, the closest groups of degradation trajectories are selected as reference samples through comparison of the comprehensive health index.

5. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 4, characterized in that: The similarity time range is set to 100 hours before and after the service time of the lubricating oil.

6. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 1 or 2, characterized in that: The detection and early warning module calculates the similarity measurement of the service time, comprehensive health index, equipment service life and equipment operating condition of the detected lubricant sample with the service time, comprehensive health index, equipment service life and equipment operating condition of the reference sample according to the similarity measurement function, and determines the reference weight of the reference sample according to the calculated overlap of time, overlap of comprehensive health index, overlap of equipment service life and overlap of equipment operating condition, and then uses the reference weights of multiple groups of reference samples and the remaining life of their sampling points to perform weighted summation to calculate the remaining life of the detected lubricant sample.

7. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 6, characterized in that: More preferably, the similarity measurement function is In the formula, represents the degradation index of the mth diesel engine oil in service at the ith monitoring time point; Indicates the degradation index of the nth failed diesel engine oil that changes continuously.

8. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 6, characterized in that: The calculation formula of the reference weight is: Where w n (k) represents the reference weight of the k-th sampling of reference sample n, Indicates similarity.

9. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 6, characterized in that: The calculation formula for the remaining life of the lubricating oil sample is: In the formula, i represents the number of reference samples, w i (k) represents the reference weight of the reference sample, Represents the remaining life of the reference sample after the kth sampling; RUL m (k) represents the remaining life of the lubricating oil sample after the kth sampling.

10. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 1 or 2, characterized in that: In the detection and early warning module, a one-dimensional comprehensive health index is synthesized based on the lubricating oil detection data, specifically: The relative deterioration calculation is performed on each detection index in the detection data of the detected lubricating oil sample respectively; then the interval hierarchy analysis method is used to determine the weight value of each detection index, and the comprehensive health index is calculated according to the weight value and relative deterioration value of each detection index. The value range of the comprehensive health index is [0,1]. The closer the comprehensive health index is to 0, the better the health status of the detected lubricating oil sample is. Conversely, the closer the comprehensive health index is to 1, the worse the health status of the detected lubricating oil sample is.

11. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 10, characterized in that: The failure interval is [0.75, 1].

12. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 10, characterized in that: The relative inferiority calculation is to compare and analyze the test indicators and normalize them to eliminate the difference caused by different physical meanings and dimensional units; Specifically, for the detection index whose value is larger, the better, the relative deterioration calculation formula is: For the detection index with smaller value, the better value, the relative deterioration calculation formula is: For the detection index with intermediate value, the relative deterioration calculation formula is: In the formula, θ represents the relative degradation value of each detection index, θ max Represents the upper limit of the detection index; θ min Represents the lower limit value of the detection index; θx represents the initial value of the detection index.

13. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 10, characterized in that: The interval analytic hierarchy process is used to determine the weight value of each detection index. Specifically, an interval judgment matrix is ​​established, and the reciprocity 1-9 scaling rule is used to compare the indicators at the same level. Represents the results of pairwise comparisons, where: and According to the number of intervals, the interval judgment matrix A can be constructed as follows: ij ) m×m ; The calculation formula for the weight value of each detection indicator is: In the formula, λ- represents the maximum eigenvalue of A- and the corresponding normalized eigenvector; λ+ represents A + The maximum eigenvalue and the corresponding normalized eigenvector of ; w represents the weight value of the detection index, m represents the number of relative degradations, i represents the number of rows of the corresponding matrix, j represents the number of columns of the corresponding matrix, and w - Indicates A - The corresponding weights of each indicator, w + Indicates A + The corresponding weights of each indicator.

14. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 10, characterized in that: The calculation formula of comprehensive health index is: Where HI represents the comprehensive health index, n represents the total number of detection index categories, i represents the detection index category, θ i represents the degradation value of the i-th type of detection index, w i Represents the weight value of the i-th category detection indicator.

15. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 1 or 2, characterized in that: The lubricating oil test data includes but is not limited to any one or more combinations of kinematic viscosity change rate, acid value increase, base value decrease rate, moisture, closed cup flash point, fuel dilution, oxidation value, nitration value, soot, Fe content, Cu content, Al content and Si content.

16. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 1, characterized in that: The lubricant performance monitoring subsystem includes a PC and a WEB, wherein a sample management module, a task management module, an equipment management module, a data reporting module and a report generation module are all integrated in the PC. The lubricant test report generated by the PC is uploaded through the WEB for review. The report management module is integrated in the WEB, and the WEB is used for project information display, report information display and standard information display.

17. The informatization monitoring system for lubricating oil in use of drilling equipment according to claim 1, characterized in that: The equipment lubricant information management subsystem also includes an equipment lubricant dynamic management module, an equipment lubricant archive management module, a drilling equipment distribution management module, a lubricant usage statistics module, and a lubricant usage time statistics module; The equipment lubricant dynamic management module establishes the dynamic change of lubricant according to the time series based on the detection data of lubricant collected at different sampling points, and displays its dynamic change in the form of a chart on the display panel; the equipment lubricant file management module is used to manage the lubricant files of each drilling rig equipment; the drilling rig equipment distribution management module is used to manage the distribution area of ​​the drilling rig equipment, establish a drilling rig equipment distribution map, and display it on the display panel; the lubricant usage statistics module is used to count the lubricant usage of each drilling rig equipment, and the lubricant usage time statistics module is used to count the lubricant usage time of each drilling rig equipment.

18. The information monitoring method for lubricating oil in use of drilling equipment is characterized by: The monitoring method includes: S1. Sampling the lubricating oil in use on the drilling equipment, and recording the sample information and the operating status of the sampled drilling equipment; the sample information includes the service time and oil type of the lubricating oil; S2. Performing a quality test on the collected lubricating oil sample to obtain test data of the lubricating oil sample; S3. Synthesize a one-dimensional comprehensive health index based on the test data of the lubricant sample to determine whether the comprehensive health index of the lubricant is in the failure range. If it is in the failure range, the lubricant is judged to be unusable and a reminder to replace the lubricant is issued. Otherwise, the service time and comprehensive health index of the lubricant are compared with the degradation trajectory library to find a similar degradation trajectory. Combine the results of the four similarity measurements of time overlap, comprehensive health index overlap, equipment service years overlap and equipment operating condition overlap to determine the reference weight of the degradation trajectory and comprehensively calculate the remaining life of the lubricant. Record the calculated comprehensive health index, remaining life and sampling time of the lubricant in the degradation trajectory library.

19. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 18, characterized in that: The degradation trajectory library records the degradation trajectory of the degraded lubricant and the remaining life of the degraded lubricant after each sampling point. The ordinate of the degradation trajectory is the comprehensive health index, and the abscissa is the service time of the lubricant.

20. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 18 or 19, characterized in that: The service time and comprehensive health index of the lubricant are compared with the degradation trajectory library. Specifically, the service time and comprehensive health index of the tested lubricant sample are compared with the degradation trajectory of the degraded lubricant in the degradation collection library to find the degradation trajectory of the similar degraded lubricant.

21. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 20, characterized in that: A similarity time range is set according to the service time, block, equipment service life and working conditions of the lubricant sample. The degradation trajectory whose service time of the lubricant in the degradation trajectory library is within the similarity time range is searched in the degradation trajectory library. Then, the closest groups of degradation trajectories are selected as reference samples through comparison of the comprehensive health index.

22. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 21, characterized in that: The similarity time range is set to 100 hours before and after the service time of the lubricating oil.

23. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 18 or 19, characterized in that: According to the similarity measurement function, the service time, comprehensive health index, equipment service life and equipment operating condition of the lubricant sample are respectively measured and calculated with the service time, comprehensive health index, equipment service life and equipment operating condition of the reference sample. The reference weight of the reference sample is determined according to the calculated overlap of time, overlap of comprehensive health index, overlap of equipment service life and overlap of equipment operating condition. Then, the remaining life of the tested lubricant sample is calculated by weighted summing up the reference weights of multiple groups of reference samples and the remaining life of their sampling points.

24. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 23, characterized in that: The similarity measure function is In the formula, represents the degradation index of the mth diesel engine oil in service at the ith monitoring time point; Indicates the degradation index of the nth failed diesel engine oil that changes continuously.

25. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 23, characterized in that: The calculation formula of the reference weight is: Where w n (k) represents the reference weight of the kth sampling of reference sample n, Indicates similarity.

26. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 23, characterized in that: The calculation formula for the remaining life of the lubricating oil sample is: In the formula, i represents the number of reference samples, w i (k) represents the reference weight of the reference sample, Represents the remaining life of the reference sample after the kth sampling; RUL m (k) represents the remaining life of the lubricating oil sample after the kth sampling.

27. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 18, characterized in that: The one-dimensional comprehensive health index is synthesized based on the lubricating oil test data, specifically: The relative deterioration calculation is performed on each detection index in the detection data of the detected lubricating oil sample respectively; then the interval hierarchy analysis method is used to determine the weight value of each detection index, and the comprehensive health index is calculated according to the weight value and relative deterioration value of each detection index. The value range of the comprehensive health index is [0,1]. The closer the comprehensive health index is to 0, the better the health status of the detected lubricating oil sample is. Conversely, the closer the comprehensive health index is to 1, the worse the health status of the detected lubricating oil sample is.

28. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 18, 19 or 27, characterized in that: The failure interval is [0.75, 1].

29. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 27, characterized in that: The relative inferiority calculation is to compare and analyze the test indicators and normalize them to eliminate the difference caused by different physical meanings and dimensional units; Specifically, for the detection index whose value is larger, the better, the relative deterioration calculation formula is: For the detection index with smaller value, the better value, the relative deterioration calculation formula is: For the detection index with intermediate value, the relative deterioration calculation formula is: In the formula, θ represents the relative degradation value of each detection index, θ max Represents the upper limit of the detection index; θ min Represents the lower limit of the detection index; θ x Represents the initial value of the detection indicator.

30. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 27, characterized in that: The interval analytic hierarchy process is used to determine the weight value of each detection index. Specifically, an interval judgment matrix is ​​established, and the reciprocity 1-9 scaling rule is used to compare the indicators at the same level. Represents the results of pairwise comparisons, where: and According to the number of intervals, the interval judgment matrix A can be constructed as follows: ij ) m×m ; The calculation formula for the weight value of each detection indicator is: In the formula, λ- represents A - The maximum eigenvalue and the corresponding normalized eigenvector of A; λ+ represents + The maximum eigenvalue and the corresponding normalized eigenvector of ; w represents the weight value of the detection index, m represents the number of relative degradations, i represents the number of rows of the corresponding matrix, j represents the number of columns of the corresponding matrix, and w - Indicates A - The corresponding weights of each indicator, w + Indicates A + The corresponding weights of each indicator.

31. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 27, characterized in that: The calculation formula of comprehensive health index is: Where HI represents the comprehensive health index, n represents the total number of detection index categories, i represents the detection index category, θ i represents the degradation value of the i-th type of detection index, w i Represents the weight value of the i-th category detection indicator.

32. The method for informatization monitoring of lubricating oil in use of drilling equipment according to claim 18, 19 or 27, characterized in that: The lubricating oil test data includes but is not limited to any one or more combinations of kinematic viscosity change rate, acid value increase, base value decrease rate, moisture, closed cup flash point, fuel dilution, oxidation value, nitration value, soot, Fe content, Cu content, Al content and Si content.

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