CN111971556A - Moisture contamination detection device, moisture contamination detection program, moisture contamination detection method, and moisture contamination detection system - Google Patents
Moisture contamination detection device, moisture contamination detection program, moisture contamination detection method, and moisture contamination detection system Download PDFInfo
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- 238000011109 contamination Methods 0.000 title claims abstract description 80
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Abstract
The invention provides a water content mixing detection device capable of judging whether the water content in oil is normal under the environmental condition. The above problems are solved by the following moisture contamination detecting device: a moisture contamination detection device for detecting contamination of moisture in oil, comprising: a prediction data calculation unit that calculates prediction data on the moisture amount in the oil based on the actually measured environmental data of the oil and/or the data on the surrounding environment of the oil, based on a correlation between the environmental data of the oil and/or the data on the surrounding environment of the oil and the data on the moisture amount in the oil; an actual measurement data acquisition unit that acquires actual measurement data regarding the amount of water in the oil; a condition determination unit that compares the acquired measured data with the calculated predicted data and determines whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition; and an information output unit that outputs information indicating that a predetermined condition is satisfied when it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition.
Description
Technical Field
The present invention relates to a moisture contamination detection device, a moisture contamination detection program, a moisture contamination detection method, and a moisture contamination detection system.
Background
Generally, in an engine oil such as a lubricating oil, if the amount of water dissolved in the oil increases, the function as the engine oil decreases. In particular, it is known that if the amount of water dissolved in the engine oil exceeds the saturated water amount and appears in the oil as free water, the possibility of mechanical failure or damage increases. For example, in an internal combustion engine such as a diesel engine or an external combustion engine such as a steam turbine, if free water is generated in a lubricating oil, seizure or the like due to oil film fracture is likely to occur, and as a result, the possibility of occurrence of a damage accident such as bearing damage or the like is increased.
Therefore, in order to prevent the occurrence of a damage accident due to an increase in the water content in the oil, the water content dissolved in the oil is monitored and managed. Since the saturated Water content of the oil varies depending on the type of the oil, the period of use, the temperature during use, and the like, it is considered that it is more appropriate to use the Water Activity value (Water Activity, Aw) as a relative Water content than to use the absolute Water content (for example, ppm) dissolved in the oil when monitoring and managing the Water content.
As a device for monitoring and managing the amount of water in lubricating oil using a water activity value, for example, patent document 1 describes the following device: a water activity value is calculated based on the electrostatic capacity and the oil temperature in the lubricating oil, and when the calculated water activity value exceeds a threshold value determined based on the result of the rolling sliding fatigue life test, it is diagnosed that the lubricating oil is in an abnormal state.
Documents of the prior art
Patent document
Patent document 1: japanese patent laid-open No. 2012-180921
However, in the method of comparing the measured value of the water activity value with a predetermined threshold value as in the device described in patent document 1, for example, even if a trouble occurs in the lubricating oil system such as mixing of water into the lubricating oil from the oil purifier, the water activity value is increased, and a value higher than a value that is normally assumed is displayed under the environmental condition, the water activity value is diagnosed as normal as long as the water activity value does not reach the threshold value. As described above, in the device disclosed in patent document 1, when the water activity value is equal to or less than the threshold value, there is a problem that it is impossible to determine whether or not the water activity value is truly normal under the environmental conditions.
The present invention has been made in view of the above problems. That is, an object of the present invention is to provide a moisture contamination detection device capable of determining whether or not the moisture amount in oil is actually normal under the environmental conditions.
Disclosure of Invention
The inventors believe that: the above problem can be solved by using a predicted value (a value assumed in a normal case) of the water content in the oil instead of a predetermined threshold value as a comparison target of the measured value of the water content in the oil. Further, the present inventors considered that: if the configuration is such that information (for example, an alarm or the like) indicating that a predetermined condition is satisfied is output when a relationship between the actual measurement value and the predicted value is outside a predetermined allowable range or the like, an unexpected or abnormal increase in the moisture amount can be detected even within a range determined to be normal by the conventional method, for example.
Further, the present inventors have conducted intensive studies and, as a result, have found that: the present invention has been accomplished in view of the above-described circumstances, and an object of the present invention is to provide a method for predicting the amount of water in oil by measuring environmental data of oil (for example, oil temperature, etc.) or data on the environment around oil (for example, ambient temperature or humidity, etc.) in which the amount of water in oil is correlated with the amount of water in oil.
The gist of the present invention is as follows.
[1] A water contamination detection device for detecting contamination of water in oil, comprising: a prediction data calculation unit that calculates prediction data on the moisture amount in the oil based on the actually measured environmental data of the oil and/or the data on the surrounding environment of the oil, based on a correlation between the environmental data of the oil and/or the data on the surrounding environment of the oil and the data on the moisture amount in the oil; an actual measurement data acquisition unit that acquires actual measurement data regarding the amount of water in the oil; a condition determination unit that compares the acquired measured data with the calculated predicted data and determines whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition; and an information output unit that outputs information indicating that a predetermined condition is satisfied when it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition.
[2] The moisture contamination detection device according to item [1] above, wherein the data on the environment around the oil is at least one data from the group consisting of a temperature, a humidity, and an air pressure at a predetermined position around the oil.
[3] The water contamination detecting device according to the above [1] or [2], wherein the data on the water content in the oil is a water activity value of the oil.
[4] According to the moisture contamination detecting device described in any one of the above [1] to [3], the correlation between the oil environment data and/or the data on the oil environment and the data on the moisture amount in the oil is obtained by multiple regression analysis based on the actually measured oil environment data and/or the data on the oil environment and the data on the actually measured moisture amount in the oil.
[5] The moisture contamination detection device according to any one of the above [1] to [4], wherein the predetermined condition is that a difference between the predicted data and the actually measured data is within a predetermined allowable range or more, or that a change amount per unit time of the difference between the predicted data and the actually measured data is within a predetermined allowable range or more.
[6] The moisture contamination detection device according to [5] above, comprising: and an allowable range determination means for determining the allowable range based on a history of a difference between the predicted data and the measured data or a history of an amount of change per unit time of the difference between the predicted data and the measured data with respect to the water content in the oil.
[7] The moisture contamination detection device according to any one of the above [1] to [6], wherein the information indicating that the predetermined condition is satisfied is an alarm.
[8] A water contamination detection program for causing a computer device to execute detection of contamination of water in oil, and causing the computer device to function as: a prediction data calculation unit that calculates prediction data on the moisture amount in the oil based on the actually measured environmental data of the oil and/or the data on the surrounding environment of the oil, based on a correlation between the environmental data of the oil and/or the data on the surrounding environment of the oil and the data on the moisture amount in the oil; an actual measurement data acquisition unit that acquires actual measurement data regarding the amount of water in the oil; a condition determination unit that compares the acquired measured data with the calculated predicted data and determines whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition; and an information output unit that outputs information indicating that a predetermined condition is satisfied when it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition.
[9] A method for detecting contamination of water in oil is executed in a contamination-of-water detection device that detects contamination of water in oil, and includes calculating predicted data regarding the amount of water in oil based on actually detected environmental data of oil and/or data regarding the surrounding environment of oil based on a correlation between the environmental data of oil and/or the data regarding the surrounding environment of oil, acquiring actually measured data regarding the amount of water in oil, comparing the acquired actually measured data with the calculated predicted data, determining whether a relationship between the actually measured data and the predicted data satisfies a predetermined condition, and outputting information indicating that the predetermined condition is satisfied when the relationship between the actually measured data and the predicted data is determined to satisfy the predetermined condition.
[10] A moisture contamination detection system includes: a water contamination detection device for detecting contamination of water in lubricating oil used in an internal combustion engine or an external combustion engine of a ship; and a water content measurement device capable of measuring actual measurement data on the water content in the lubricating oil, the water contamination detection device including: a prediction data calculation unit that calculates prediction data on the moisture amount in the lubricating oil based on the actually measured environmental data of the lubricating oil and/or the data on the ambient environment of the lubricating oil, based on a correlation between the environmental data of the lubricating oil and/or the data on the ambient environment of the lubricating oil and the data on the moisture amount in the lubricating oil; an actual measurement data acquisition unit that acquires actual measurement data regarding the moisture amount in the lubricating oil measured by the moisture amount measurement device; a condition determination unit that compares the acquired measured data with the calculated predicted data and determines whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition; and an information output unit that outputs information indicating that a predetermined condition is satisfied when it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition.
According to the present invention, it is possible to determine whether the water content in the oil is truly normal under the environmental conditions.
Drawings
Fig. 1 is an example of a block diagram showing a configuration of a moisture contamination detection system according to an embodiment of the present invention.
Fig. 2 is an example of a graph showing measured data of the water content in oil and measured data of the environment around the oil according to the embodiment of the present invention.
Fig. 3 is an example of a flowchart of the moisture contamination detection process according to the embodiment of the present invention.
Fig. 4 is an example of a graph showing a relationship between a water activity value and a temperature at each humidity according to the embodiment of the present invention.
Fig. 5 is a graph showing an example of the alarm range according to the embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described with reference to the drawings. The following description of the effects of the embodiments is one aspect of the effects of the present invention, and is not limited to the description herein. The order of the processes constituting the flowcharts described below may be different to the extent that the process contents do not contradict each other or do not cause inconsistency.
In the present specification, "oil" refers to, for example, lubricating oil, cooling oil, and engine oil such as hydraulic oil. In the present specification, the "amount of water in oil" refers to, for example, the amount of water dissolved in oil expressed by a predetermined scale.
First, the configuration of the moisture contamination detection system according to the embodiment of the present invention will be described. Fig. 1 is an example of a block diagram showing a configuration of a moisture contamination detection system according to an embodiment of the present invention. As shown in the figure, the contamination with water detection system 5 is composed of a contamination with water detection device 1, a communication network 2, an environmental data measurement device 3, and a moisture amount measurement device 4.
The environmental data measuring device 3 is a device that measures environmental data of oil and/or data regarding the surrounding environment of oil (hereinafter also referred to as "environmental data or the like"), and includes at least an environmental data measuring unit 31. As the environmental data measuring device 3, a conventionally known device can be suitably used depending on the measurement object. Further, depending on the number of measurement objects, there may be a plurality of environment data measurement devices 3.
The environmental data of the oil to be measured and the data on the environment around the oil are not particularly limited as long as the data is related to the water content in the oil and can be prediction data for calculating the water content in the oil. Specific examples of the oil environment data include oil temperature and oil pressure. Specific examples of the data on the environment around the oil include temperature, humidity, and air pressure at a predetermined position around the oil. One type of object to be measured may be used, or two or more types may be combined. In view of the simplicity of measurement and the ability to improve the accuracy of the prediction data, it is preferable to measure the temperature and humidity at a predetermined position around the oil.
The "predetermined position around the oil" is not particularly limited as long as it is a position at which environmental data or the like relating to the amount of water in the oil can be measured, and may be determined appropriately according to the type, installation manner, or the like of the machine, for example, the inside of the machine in which the oil is used, the vicinity of the machine, or an arbitrary position in a sealed space or semi-sealed space in which the machine is installed. As a preferred specific example, any position in the machine room, the engine room, or the like can be cited. The "closed space" refers to a region in which, for example, a state in which inflow and outflow of air is difficult to occur can be maintained. The "semi-closed space" refers to a region that can maintain a state in which only a part of air flows in and out, for example.
The water content measuring device 4 is a device that measures actual measurement data regarding the water content in oil, and includes at least a water content measuring unit 41. As the water content measuring device 4, a conventionally known device can be appropriately used according to the scale used. The scale used for measuring the moisture content is not particularly limited, and may be, for example, an absolute moisture content (for example, ppm) or a relative moisture content such as a water activity value. The water activity value is preferably used from the viewpoint that the risk of generating free water can be directly and easily evaluated regardless of the type of oil, the period of use, the temperature at the time of use, and the like.
The environmental data measuring device 3 and the moisture content measuring device 4 are connected to the moisture contamination detecting device 1 via the communication network 2. The environmental data measuring device 3 and the moisture content measuring device 4 may not always be connected to the moisture contamination detecting device 1, but may be connected as needed. The connection may be a wireless connection or a wired connection.
The environmental data and the like measured by the environmental data measuring device 3 and the measured data on the water content in the oil are transmitted to the moisture contamination detecting device 1 via the communication network 2.
The moisture contamination detection system 5 may not include the communication network 2. In the case of such a configuration, the data measured by the environmental data measuring device 3 and the water content measuring device 4 can be directly input to the moisture contamination detecting device 1 by the user, for example.
The moisture contamination detection device 1 includes an environmental data acquisition unit 11, a prediction data calculation unit 12, an actual measurement data acquisition unit 13, a condition determination unit 14, an information output unit 15, and an allowable range determination unit 16.
Although not shown, the moisture contamination detection device 1 is a computer device including at least a control Unit (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and a storage Unit. The ROM or the storage unit of the contamination with water detection device 1 stores a program for executing each process performed by the contamination with water detection device 1 in the contamination with water detection system according to the embodiment of the present invention. Each process performed by the moisture contamination detection device 1 is a process realized by each unit described in detail below, and is a process described below using the flowchart of fig. 3.
The environmental data acquisition unit 11 has the following functions: the environmental data measured by the environmental data measuring device 3 and the like are acquired. The environment data acquisition unit 11 receives environment data and the like from the environment data measurement device 3 via the communication network 2, for example. The received environment data and the like are preferably stored in the storage unit.
The prediction data calculation unit 12 has the following functions: the predicted data on the water content in the oil is calculated based on the environmental data measured by the environmental data measuring device 3 and the like, based on the correlation between the environmental data of the oil and/or the data on the environment around the oil and the data on the water content in the oil (hereinafter, also simply referred to as "correlation").
The correlation can be obtained, for example, as follows: in a normal state where it is estimated that the water content in the oil is not unexpectedly increased or the like, or it is estimated that the water content in the oil is a value which is normally assumed under the environmental condition, the water content in the oil, the environmental data and the like are actually measured for a predetermined period of time, and then the obtained data are processed by a predetermined statistical method. That is, the correlation can be said to be a function having the water content in the oil as a target variable and the environmental data or the like as an explanatory variable.
The statistical method is not particularly limited, and from the viewpoint of simplicity and high accuracy of the prediction data, for example, a single regression analysis using the water content in the oil as a target variable and one kind of environmental data or the like as an explanatory variable is preferable, and a multiple regression analysis using two or more kinds of environmental data or the like as an explanatory variable is more preferable. The predetermined period is not particularly limited, and may be appropriately determined depending on the type of the machine using oil, and a somewhat longer period such as, for example, a period of two weeks, one month, two months, or four or more months is preferable from the viewpoint of improving the accuracy of the prediction data.
Preferably, the correlation and the data measured in the past are stored in, for example, a ROM, a storage unit, or the like of the moisture contamination detection device 1. For example, the predicted data calculation unit 12 calculates predicted data regarding the moisture amount in the oil by substituting the value of the environmental data or the like acquired by the environmental data acquisition unit 11 into a function stored as a correlation.
In addition, the correlation may be configured as: the updating is performed in sequence based on the environmental data and the like acquired by the predicted data calculating means 12 and the measured data on the water content in the oil acquired by the measured data acquiring means 13 described later. That is, the following configuration may be adopted: the newly acquired environmental data and the like and the actually measured data on the moisture content are added to the environmental data and the like and the actually measured data on the moisture content measured in the past at predetermined time points, and the data including the added portion is subjected to statistical processing again to update the correlation. With this configuration, the accuracy of the prediction data can be further improved.
From the viewpoint of improving the accuracy of the prediction data, for example, it is preferable that the position at which the environment data or the like for calculating the correlation is measured is substantially the same position as the position at which the environment data or the like is acquired by the measurement environment data acquiring unit 11. The correlation varies depending on the type of machine or the environment in which the oil is used, the type or the age of the oil, and the measurement location of environmental data and the like. For example, taking lubricating oil used in an internal combustion engine of a ship as an example, the correlation differs for each ship.
The measured data acquisition unit 13 has the following functions: measured data on the moisture content in the oil measured by the moisture content measuring device 4 is acquired. The measured data acquisition unit 13 receives measured data on the moisture amount in the oil from the moisture amount measurement device 4 via the communication network 2, for example. The received measured data on the moisture amount is preferably stored in the storage unit.
The condition determination unit 14 has the following functions: the actual measurement data acquired by the actual measurement data acquisition means 13 is compared with the prediction data calculated by the prediction data calculation means 12, and it is determined whether or not the relationship between the actual measurement data and the prediction data satisfies a predetermined condition. The predetermined condition is, for example, a condition for determining whether or not the water content in the oil is normal under the environmental condition, and is a condition in which the predicted data and the actual measurement data are abnormally deviated. The predetermined condition is preferably, for example, that the difference between the predicted data and the measured data is within a predetermined allowable range or more, or that the amount of change per unit time in the difference between the predicted data and the measured data is within a predetermined allowable range or more. The predetermined allowable range may be set in advance by a user, for example, or may be a value determined by the allowable range determining means 16 described later.
The information output unit 15 has the following functions: when condition determining section 14 determines that the relationship between the measured data and the predicted data satisfies a predetermined condition, it outputs information indicating that the predetermined condition is satisfied. Preferably, the information output unit 15 outputs information indicating that a predetermined condition is satisfied, for example, by displaying the information on a predetermined display device or outputting the information by a predetermined sound output device. That is, it is preferable that the information output means 15 output a visual or audible alarm (hereinafter also referred to as "alarm") when the water content in the oil is determined to be abnormal under the environmental condition.
The allowable range determining unit 16 has the following functions: an allowable range used when determining whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition is determined. Preferably, the allowable range determination unit 16 determines the allowable range based on, for example, a history of a difference between the predicted data and the actually measured data or a history of an amount of change per unit time of a difference between the predicted data and the actually measured data. By providing the allowable range determining means 16, it is possible to detect an abnormality such as an unexpected or abnormal increase in the water content in the oil with higher accuracy. The allowable range is, for example, a range in which the difference between the predicted data and the measured data does not deviate abnormally, that is, the measured data is within the normal range. The allowable range determination unit 16 may also determine, for example, an allowable upper limit of the difference between the predicted data and the measured data.
Next, the moisture contamination detection process according to the embodiment of the present invention will be described. Hereinafter, a case will be described in which a water contamination condition such as an unexpected or abnormal increase in the amount of water in lubricating oil used in an internal combustion engine (hereinafter also referred to as "main engine") of a ship is detected as an example of the water contamination detection process. The application of oil and the machine using oil are not limited to the above examples, and for example, the present invention can be widely applied to an engine oil such as cooling oil or working oil, or an external combustion engine or other plant machine using the engine oil.
In the following examples, the water content in the oil is a water activity value (unit: aw) measured by using a commercially available water activity value measuring sensor. In addition, as environmental data and the like, temperature and humidity measured in a machine room in which an internal combustion engine is installed are used.
As described above, the present invention is based on the findings of the present inventors that there is a correlation between the amount of water in oil and environmental data of oil or the like. Fig. 2 is an example of a graph showing measured data of the water content in oil and measured data of the environment around the oil according to the embodiment of the present invention, and is a diagram for proving the above-described findings of the present inventors and the like. In fig. 2, specifically, the load of the main engine, the temperature and humidity (relative humidity) in the engine room, and the water activity value in the lubricating oil were measured every 1 hour from 0 min at day 0 at 7/9 in 2017 to 0 min at day 0 at 24/7 in 2017, and the obtained values were plotted. In fig. 2, "ME Load" represents a main unit Load, "ER Temp" represents a temperature in the machine room, "ER Humid" represents a humidity in the machine room, and "WIO" represents a water activity value in the lubricating oil.
As can be seen from fig. 2, there is a correlation between the water activity value in the lubricating oil and the temperature and humidity in the machine room. In the following example, a multiple regression analysis is performed using the data measured in advance shown in fig. 2, in which the water activity value in the lubricating oil is set as a target variable and the temperature and humidity in the machine room are set as explanatory variables, and a correlation is obtained, and the obtained correlation (for example, a multiple regression equation) is stored in the storage unit of the moisture contamination detecting device 1.
In the example of fig. 2, in a section where the load on the main machine is greatly increased or decreased, such as immediately after the start of operation of the main machine and after the stop of operation, the correlation between the water activity value in the lubricating oil and the temperature and humidity in the machine room is weaker than in other sections. Therefore, from the viewpoint of improving the accuracy of the prediction data, it is preferable not to use data in such a section when performing statistical processing to calculate a function indicating a correlation.
Fig. 3 is an example of a flowchart of the moisture contamination detection process according to the embodiment of the present invention. The environmental data measuring device 3 measures the temperature and humidity in the machine room (step a 1). Next, the environmental data measuring device 3 transmits the measured data on the temperature and humidity to the moisture mixture detecting device 1 (step a 2). The data transmitted in step a2 preferably includes information about the time at which the data was measured. The environment data measurement device 3 repeats the processing of step a1 to step a2 continuously or at predetermined intervals.
The water content measuring device 4 measures the water activity value in the lubricating oil (step B1). Next, the water content measuring device 4 transmits the data on the water activity value measured to the moisture contamination detecting device 1 (step B2). The data transmitted in step B2 preferably includes information on the time at which the data was measured. The water content measuring apparatus 4 repeats the processing of steps B1 to B2 continuously or at predetermined intervals.
The moisture contamination detecting device 1 receives the data on the temperature and the humidity transmitted in step a2, and receives the data on the water activity value transmitted in step B2 (step S1). Each piece of received data is preferably stored in the storage unit in association with data relating to the measurement time.
Next, the moisture contamination detection device 1 calculates a predicted value of the water activity value in the lubricating oil based on the correlation stored in the storage unit and the data on the temperature and humidity received in step S1 (step S2). In step S2, for example, the predicted values are calculated by substituting the temperature and humidity into a multiple regression equation (binary linear function) calculated as the correlation. The correlation may be updated using the received new pieces of data when the pieces of data newly measured in step S1 are received.
In step S2, the predicted value may be calculated using the expression shown in fig. 4. Fig. 4 is an example of a graph showing a relationship between a water activity value and a temperature at each humidity according to the embodiment of the present invention. In the example of fig. 4, when the humidity in the room is 100%, the predicted value of the water activity value can be calculated by substituting the measured temperature into the equation of the uppermost straight line indicated by the solid line. Similarly, when the humidity is different, the predicted value can be calculated by substituting the value of the temperature into the equation of the straight line corresponding to each humidity.
Next, the moisture contamination detecting device 1 determines whether or not the relationship between the actually measured value of the water activity value, which is the data on the water activity value received in step S1, and the predicted value calculated in step S2 satisfies a predetermined condition (step S3). Preferably, the actual measurement value and the predicted value to be compared are values based on data measured at substantially the same time. Step S3 is described in further detail in the following paragraphs.
If it is determined in step S3 that the predetermined condition is satisfied (YES in step S3), that is, if it is detected that moisture is mixed in, the moisture mixture detection device 1 outputs information indicating that the predetermined condition is satisfied (step S4), and the process ends. In step S4, for example, a message indicating that the mixing of water is detected is displayed on a predetermined display device, a sound indicating that the mixing of water is detected is output from a predetermined sound output device, or both of them are displayed, and a visual and/or audible alarm is output.
If it is determined in step S3 that the predetermined condition is not satisfied (No in step S3), the process ends. The moisture contamination detecting device 1 receives the data on the temperature and the humidity from the environmental data measuring device 3, and repeats the processing of step S1 to step S4 each time the data on the water activity value is received from the moisture content measuring device 4.
The processing of step S3 will be described in detail below. In step S3, for example, the difference between the predicted value and the actual measurement value is set to be equal to or larger than a predetermined allowable range set in advance as a predetermined condition. The allowable range may be appropriately set based on, for example, data used in calculating the function representing the correlation, residual analysis of the data, or the like. For example, when the allowable range is set to 0.15aw and the predicted value is 0.25aw, if the actual measurement value is 0.40aw or more, it is determined that the predetermined condition is satisfied, and an alarm indicating that water contamination is detected is output.
Fig. 5 is a graph showing an example of the alarm range according to the embodiment of the present invention. For ease of understanding, the straight line L shown in fig. 5 is a simple regression equation in which the water activity value is set as a target variable and the temperature in the machine room is set as an explanatory variable.
In the example of fig. 5, a region equal to or higher than the threshold value T1 (water activity value 0.5aw) is referred to as a "High Alarm" region, and a region equal to or higher than the threshold value T2 (water activity value 0.9aw) is referred to as a "High-High Alarm" region. Since these regions are regions where the risk of generating free water is high, in the range where an alarm was issued conventionally, when an actual measurement value is included in these regions, an alarm indicating that the risk of generating free water is high is output regardless of the predicted value. The values of the thresholds T1 and T2 may be changed as appropriate.
The "additional Alarm range" added to the conventional Alarm range is an area other than the "High Alarm" area and the "High-High Alarm" area, and in which a straight line L indicating the unary regression equation is not less than the predetermined allowable range P from above.
As in the conventional art, when the Alarm ranges are only the "High Alarm" region and the "High-High Alarm" region, that is, when the Alarm ranges are only the ranges of the uniformly determined threshold values or more, even if the contamination of the lubricating oil with water occurs, the Alarm is not issued unless the predetermined threshold values are exceeded, and therefore the contamination of water cannot be detected early. Further, if the threshold value indicating the "High Alarm" region is set to a lower value, an Alarm is issued even when the water activity value increases within a range considered to be normal due to a change in the saturated water content caused by a change in the temperature of the lubricating oil or an increase in the water content that is normally assumed under the environmental conditions.
Therefore, in the example of fig. 5, by setting the region in which the difference between the predicted value and the actual measurement value is equal to or larger than the predetermined allowable range P as the "additional alarm range" and adding a new alarm range that is not present in the past, it is possible to detect the water contamination early and prevent the alarm from being generated even in a normal state. The "additional alarm range" is a range that is not less than the predetermined allowable range P from the predicted value, that is, a range that is far from the value that should be present in the normal state, and therefore, when the actually measured value is in this range, it can be determined that the lubricating oil is not in the normal state and the water contamination has occurred.
The predetermined allowable range P may be configured as follows: the updating is performed based on the history of the difference between the predicted value and the measured value or the history of the amount of change per unit time of the difference between the predicted value and the measured value. With this configuration, the accuracy of detecting the water contamination can be further improved.
In the example of fig. 5, the alarm is issued when the actual measured value distance predicted value is greater than or equal to the predetermined allowable range P, but the alarm may be issued when the actual measured value distance predicted value is less than or equal to the predetermined allowable range P. When the actual measured value distance predicted value is less than or equal to the predetermined allowable range P, although the possibility of water mixing is low, some other problems may occur. The allowable range when the actual measurement value distance predicted value is deviated upward may be different from the allowable range when the actual measurement value distance predicted value is deviated downward.
In step S3, the amount of change per unit time of the difference between the predicted data and the measured data may be equal to or larger than a predetermined allowable range as a predetermined condition, or another condition may be set. The present invention relates to a water content in oil, and determines whether or not the water content in oil is truly normal under the environmental conditions by comparing a value that should be obtained in the normal state with an actually measured value. Therefore, the predetermined condition is not particularly limited as long as it can be determined that the state is not normal. Further, a plurality of predetermined conditions may be set, and for example, it is preferable to issue an alarm when any one of the conditions is satisfied.
Description of the symbols
1 … moisture mixing detection device; 2 … communication network; 3 … environmental data measuring device; 4 … moisture content measuring device; 5 … moisture is mixed into the detection system.
Claims (10)
1. A moisture contamination detection device for detecting contamination of moisture in oil, the moisture contamination detection device comprising:
a prediction data calculation unit that calculates prediction data on the moisture amount in the oil based on the actually measured environmental data of the oil and/or the data on the surrounding environment of the oil, based on a correlation between the environmental data of the oil and/or the data on the surrounding environment of the oil and the data on the moisture amount in the oil;
an actual measurement data acquisition unit that acquires actual measurement data regarding the amount of water in the oil;
a condition determination unit that compares the acquired measured data with the calculated predicted data and determines whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition; and
and an information output unit that outputs information indicating that a predetermined condition is satisfied when it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition.
2. The moisture mixing-in detection device according to claim 1,
the data on the environment around the oil is at least one data of a group consisting of a temperature, a humidity, and an air pressure at a prescribed position around the oil.
3. The moisture contamination detection device according to claim 1 or 2,
the data on the amount of water in the oil is the water activity value of the oil.
4. The moisture contamination detection device according to any one of claims 1 to 3,
the correlation between the environmental data of the oil and/or the data on the environment around the oil and the data on the moisture amount in the oil is obtained by a multiple regression analysis based on the actually measured environmental data of the oil and/or the data on the environment around the oil and the data on the actually measured moisture amount in the oil.
5. The moisture mixing-in detection device according to any one of claims 1 to 4,
the predetermined condition is that the difference between the predicted data and the measured data is within a predetermined allowable range or more, or that the amount of change per unit time of the difference between the predicted data and the measured data is within a predetermined allowable range or more.
6. The moisture contamination detection device according to claim 5, comprising:
and an allowable range determination means for determining the allowable range based on a history of a difference between the predicted data and the measured data or a history of an amount of change per unit time of the difference between the predicted data and the measured data with respect to the water content in the oil.
7. The moisture mixing-in detection device according to any one of claims 1 to 6,
the information indicating that the prescribed condition is satisfied is an alarm.
8. A water contamination detection program for causing a computer device to execute detection of contamination of water in oil, and causing the computer device to function as:
a prediction data calculation unit that calculates prediction data on the moisture amount in the oil based on the actually measured environmental data of the oil and/or the data on the surrounding environment of the oil, based on a correlation between the environmental data of the oil and/or the data on the surrounding environment of the oil and the data on the moisture amount in the oil;
an actual measurement data acquisition unit that acquires actual measurement data regarding the amount of water in the oil;
a condition determination unit that compares the acquired measured data with the calculated predicted data and determines whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition; and
and an information output unit that outputs information indicating that a predetermined condition is satisfied when it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition.
9. A method for detecting contamination of water, which is executed in a contamination-of-water detection device that detects contamination of water in oil,
calculating prediction data on the moisture amount in the oil based on the measured environmental data of the oil and/or the data on the surrounding environment of the oil according to a correlation of the environmental data of the oil and/or the data on the surrounding environment of the oil and the data on the moisture amount in the oil,
measured data regarding the amount of moisture in the oil is obtained,
comparing the obtained measured data with the calculated predicted data to determine whether the relationship between the measured data and the predicted data satisfies a predetermined condition,
when it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition, information indicating that the predetermined condition is satisfied is output.
10. A moisture contamination detection system includes:
a water contamination detection device for detecting contamination of water in lubricating oil used in an internal combustion engine or an external combustion engine of a ship; and
a water content measuring device capable of measuring measured data on the water content in the lubricating oil,
the moisture contamination detection device includes:
a prediction data calculation unit that calculates prediction data on the moisture amount in the lubricating oil based on the actually measured environmental data of the lubricating oil and/or the data on the ambient environment of the lubricating oil, based on a correlation between the environmental data of the lubricating oil and/or the data on the ambient environment of the lubricating oil and the data on the moisture amount in the lubricating oil;
an actual measurement data acquisition unit that acquires actual measurement data regarding the moisture amount in the lubricating oil measured by the moisture amount measurement device;
a condition determination unit that compares the acquired measured data with the calculated predicted data and determines whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition; and
and an information output unit that outputs information indicating that a predetermined condition is satisfied when it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2018/013878 WO2019187106A1 (en) | 2018-03-30 | 2018-03-30 | Moisture mixing detection device, moisture mixing detection program, moisture mixing detection method, and moisture mixing detection system |
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| CN111971556A true CN111971556A (en) | 2020-11-20 |
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| CN201880091647.6A Pending CN111971556A (en) | 2018-03-30 | 2018-03-30 | Moisture contamination detection device, moisture contamination detection program, moisture contamination detection method, and moisture contamination detection system |
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| Country | Link |
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| JP (1) | JP6766248B2 (en) |
| KR (1) | KR102533572B1 (en) |
| CN (1) | CN111971556A (en) |
| DK (1) | DK181350B1 (en) |
| WO (1) | WO2019187106A1 (en) |
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| CN111999339B (en) * | 2020-07-30 | 2023-05-30 | 智新科技股份有限公司 | Method for online monitoring change of water content of gearbox oil |
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- 2018-03-30 CN CN201880091647.6A patent/CN111971556A/en active Pending
- 2018-03-30 WO PCT/JP2018/013878 patent/WO2019187106A1/en active Application Filing
- 2018-03-30 KR KR1020207030904A patent/KR102533572B1/en active IP Right Grant
- 2018-03-30 JP JP2019503578A patent/JP6766248B2/en active Active
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| US5656767A (en) * | 1996-03-08 | 1997-08-12 | Computational Systems, Inc. | Automatic determination of moisture content and lubricant type |
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| Publication number | Publication date |
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| JP6766248B2 (en) | 2020-10-07 |
| DK202070680A1 (en) | 2020-10-12 |
| JPWO2019187106A1 (en) | 2020-04-30 |
| WO2019187106A1 (en) | 2019-10-03 |
| DK181350B1 (en) | 2023-08-23 |
| KR20200136971A (en) | 2020-12-08 |
| KR102533572B1 (en) | 2023-05-18 |
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