JP6766248B2 - Moisture contamination detection device, moisture contamination detection program, moisture contamination detection method, and moisture contamination detection system - Google Patents

Description

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.

Generally, in machine oil such as lubricating oil, when the amount of water dissolved in the oil increases, the function as the machine oil deteriorates. In particular, it is known that when the amount of water dissolved in machine oil exceeds the saturated amount of water and appears in the oil as free water, there is a high possibility that the machine will break down or be damaged. For example, in an internal combustion engine such as a diesel engine or an external combustion engine such as a steam turbine, when free water is generated in the lubricating oil, seizure due to running out of the oil film is likely to occur, and as a result, damage accidents such as bearing damage occur. The possibility becomes high.

Therefore, in order to prevent damage accidents caused by an increase in the amount of water in the machine oil, the amount of water dissolved in the machine oil is monitored and managed. Since the saturated water content of machine oil varies depending on factors such as the type of machine oil, the period of use, and the temperature during use, the absolute water content dissolved in the oil (for example, ppm) is used when monitoring and managing the water content. ) Is considered to be more appropriate to use the water activity value (Water Activity, Aw), which is a relative water content.

As a device for monitoring and managing the amount of water in the lubricating oil using the water activity value, for example, in Patent Document 1, the water activity value is calculated from the capacitance and the oil temperature in the lubricating oil, and the calculated water content is calculated. An apparatus is described for diagnosing an abnormal state of lubricating oil when the activity value exceeds a threshold value determined based on the result of a rolling slip fatigue life test.

Japanese Unexamined Patent Publication 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 apparatus described in Patent Document 1, for example, a lubricating oil system in which water is mixed into the lubricating oil from an oil purifier. Even if the water activity value rises due to a problem in the above and shows a value higher than normally expected under the environmental conditions, it will be diagnosed as normal unless the water activity value reaches the threshold value. .. As described above, in the apparatus as described in Patent Document 1, when the water activity value is equal to or less than the threshold value, there is a problem that it cannot be determined whether or not the water activity value is really normal under the environmental conditions. It was.

The present invention has been made in view of the above problems. That is, an object of the present invention is to provide a water content detection device capable of determining whether or not the water content in oil is really normal under the environmental conditions.

The present inventors use a predicted value (a value as expected in a normal case) regarding the water content in oil instead of a predetermined threshold value as a comparison target of the measured value regarding the water content in oil. , I thought that the above problem could be solved. In addition, the present inventors provide information indicating that a predetermined condition is satisfied when the relationship between the two satisfies a predetermined condition, such as the difference between the measured value and the predicted value is outside the predetermined allowable range (for example,). If it is configured to output an alarm, etc.), for example, it is considered that an unexpected or abnormal increase in water content can be detected even in a range determined to be normal by the conventional method.

Then, as a result of diligent research, the present inventors have obtained the water content in the oil and the environmental data of the oil (for example, oil temperature) and the data on the ambient environment of the oil (for example, the ambient temperature and humidity). Has a correlation, and found that the water content in oil can be predicted by measuring the environmental data of oil and the data on the surrounding environment of oil, and completed the present invention.

The gist of the present invention is as follows.

[1] A moisture contamination detection device for detecting moisture contamination in oil, based on the correlation between the environmental data of the oil and / or the data on the ambient environment of the oil and the data on the amount of water in the oil. Prediction data calculation means for calculating the prediction data for the water content in the oil from the measured environmental data of the oil and / or the data for the surrounding environment of the oil, and the measurement data acquisition means for acquiring the actual measurement data for the water content in the oil. , The relationship between the measured data and the predicted data, the condition determining means for comparing the acquired measured data with the calculated predicted data, and determining whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition. A moisture contamination detection device including an information output means for outputting information indicating that a predetermined condition is satisfied when it is determined that the condition is satisfied.

[2] The moisture contamination detection device according to the above [1], wherein the data on the ambient environment of the oil is at least one data of a group consisting of temperature, humidity and atmospheric pressure at a predetermined position around the oil.

[3] The water content detection device according to the above [1] or [2], wherein the data on the amount of water in the oil is the water activity value of the oil.

[4] The correlation between the environmental data of oil and / or the data on the surrounding environment of oil and the data on the amount of water in the oil is the measured environmental data of oil and / or the data on the surrounding environment of oil and the measured. The water content detection device according to any one of [1] to [3] above, which is obtained by multiple regression analysis based on data on the amount of water in oil.

[5] Under the predetermined conditions, the difference between the predicted data and the actually measured data is equal to or more than the predetermined allowable range, or the amount of change in the difference between the predicted data and the actually measured data per unit time is equal to or more than the predetermined allowable range. The water contamination detection device according to any one of the above [1] to [4].

[6] Specifying the allowable range for specifying the allowable range based on the history of the difference between the predicted data and the actually measured data regarding the water content in the oil or the history of the amount of change in the difference between the predicted data and the actually measured data per unit time. The water contamination detection device according to the above [5], which comprises means.

[7] The moisture contamination detecting device according to any one of [1] to [6] above, 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 detect water contamination in oil, and the computer device is used for data on the environment of the oil and / or data on the surrounding environment of the oil and the amount of water in the oil. Predictive data calculation means for calculating predicted data on water content in oil from measured environmental data of oil and / or data on surrounding environment of oil based on correlation with data, measured data on water content in oil Actual measurement data acquisition means for acquiring, a condition determination means for comparing the acquired actual measurement data with the calculated prediction data, and determining whether or not the relationship between the actual measurement data and the prediction data satisfies a predetermined condition, actual measurement data. A moisture contamination detection program that functions as an information output means that outputs information indicating that a predetermined condition is satisfied when it is determined that the relationship between the data and the prediction data satisfies a predetermined condition.

[9] A moisture contamination detection method executed in a moisture contamination detection device for detecting moisture contamination in oil, which comprises data on the environment of the oil and / or data on the ambient environment of the oil and data on the amount of water in the oil. Based on the correlation, the predicted data on the water content in the oil is calculated from the measured environmental data of the oil and / or the data on the surrounding environment of the oil, and the measured data on the water content in the oil is acquired and the acquired actual measurement is obtained. By comparing the data with the calculated predicted data, it is determined whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition, and it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition. A moisture contamination detection method that outputs information indicating that a predetermined condition is satisfied when the data is satisfied.

[10] A moisture mixing detection device for detecting moisture contamination in the lubricating oil used in the internal combustion engine or the external combustion engine of a ship, and a moisture content measuring device capable of measuring actual measurement data on the moisture content in the lubricating oil. It is a moisture contamination detection system that the moisture contamination detection device has, and was actually measured based on the 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 amount of water in the lubricating oil. Concerning the water content in the lubricating oil measured by the predictive data calculating means for calculating the predicted data on the water content in the lubricating oil from the environmental data of the lubricating oil and / or the data on the surrounding environment of the lubricating oil, and the water content measuring device. A condition determining means for determining whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition by comparing the actually measured data acquiring means for acquiring the measured data with the acquired measured data and the calculated predicted data. A moisture contamination detection system comprising the above, and an information output means for outputting information indicating that the 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 or not the water content in the oil is really normal under the environmental conditions.

This is an example of a block diagram showing a configuration of a moisture contamination detection system according to an embodiment of the present invention. This is an example of a graph showing actual measurement data of the amount of water in oil and measurement data regarding the surrounding environment of oil according to the embodiment of the present invention. This is an example of a flowchart of a water contamination detection process according to an embodiment of the present invention. This is an example of a graph showing the relationship between the water activity value and the temperature at each humidity according to the embodiment of the present invention. It is a graph which shows an example of the alarm range which concerns on embodiment of this invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. The description of the effect in the following embodiments is one aspect of the effect of the present invention and is not limited to that described herein. In addition, the order of each process constituting the flowchart described below is random as long as there is no contradiction or inconsistency in the process contents.

In addition, in this specification, "oil" means machine oil such as lubricating oil, cooling oil, hydraulic oil, for example. Further, in the present specification, the "water content in oil" means, for example, the amount of water dissolved in oil, which is indicated by using 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 water content detection system 5 includes a water content detection device 1, a communication network 2, an environmental data measurement device 3, and a water content measurement device 4.

The environmental data measuring device 3 is a device that measures environmental data of oil and / or data related to the surrounding environment of oil (hereinafter, also referred to as “environmental data or the like”), and includes at least environmental data measuring means 31. As the environmental data measuring device 3, a conventionally known device can be appropriately adopted depending on the measurement target. Further, there may be a plurality of environmental data measuring devices 3 depending on the number of measurement targets.

The environmental data of the oil to be measured and the data related to the surrounding environment of the oil are particularly limited as long as they have a correlation with the water content in the oil and can calculate the prediction data of the water content in the oil. Will not be done. Specific examples of environmental data of oil include oil temperature and oil pressure. Further, specific examples of data on the ambient environment of oil include temperature, humidity, atmospheric pressure, and the like at a predetermined position around the oil. The measurement target may be one type or a combination of two or more types. From the viewpoint of easy measurement and high accuracy of 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 can measure environmental data or the like that correlates with the amount of water in the oil. For example, the inside of a machine in which oil is used. It may be appropriately determined according to the type and installation mode of the machine, such as the position in the vicinity of the machine or in the closed space or the semi-closed space in which the machine is installed. As a preferable specific example, any position in the engine room, the engine room, or the like can be mentioned. The "closed space" refers to, for example, a region in which air can be maintained in a state in which inflow and outflow are unlikely to occur. Further, the "semi-enclosed space" refers to a region in which, for example, a state in which inflow and outflow of air can only partially occur can be maintained.

The water content measuring device 4 is a device for measuring actual measurement data regarding the water content in oil, and includes at least the water content measuring means 41. As the water content measuring device 4, a conventionally known device can be appropriately adopted depending on the scale to be used. The scale used when measuring the water content is not particularly limited, and may be, for example, an absolute water content (for example, ppm) or a relative water content such as a water activity value. It is preferable to use the water activity value from the viewpoint that the risk of free water generation 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 water content measuring device 4 are connected to the water mixing detecting device 1 via the communication network 2. The environmental data measuring device 3 and the water content measuring device 4 do not have to be always connected to the water mixing detection device 1, and may be connected as needed. Further, 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 regarding the amount of water in the oil are transmitted to the water mixing detection device 1 via the communication network 2.

The moisture contamination detection system 5 does not have to include the communication network 2. In such a configuration, the data measured by the environmental data measuring device 3 and the water content measuring device 4 may be directly input to the water mixing detecting device 1 by the user, for example.

The moisture mixing detection device 1 includes an environmental data acquisition means 11, a prediction data calculation means 12, an actual measurement data acquisition means 13, a condition determination means 14, an information output means 15, and an allowable range specifying means 16.

Although not shown, the moisture mixing detection device 1 is a computer device including at least a control unit (central processing unit: Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and a storage unit. is there. The ROM or storage unit of the moisture contamination detection device 1 stores a program for executing each process by the moisture contamination detection device 1 in the moisture contamination detection system according to the embodiment of the present invention. Each process by the water mixing detection device 1 is a process realized by each means described in detail below and a process described later using the flowchart of FIG.

The environmental data acquisition means 11 has a function of acquiring environmental data or the like measured by the environmental data measuring device 3. The environmental data acquisition means 11 receives environmental data and the like from the environmental data measuring device 3 via, for example, the communication network 2. It is preferable that the received environmental data and the like are stored in the storage unit.

The prediction data calculation means 12 measures the environmental data based on the correlation between the environmental data of the oil and / or the data on the surrounding environment of the oil and the data on the water content in the oil (hereinafter, also simply referred to as “correlation”). It has a function of calculating prediction data regarding the amount of water in oil from environmental data and the like measured by the device 3.

The correlation is normal, for example, it is estimated that there is no unexpected increase in water content in the oil, or that the water content in the oil is at the value normally expected under the environmental conditions. In the state, it can be obtained by actually measuring the water content in oil, environmental data, etc. over a predetermined period of time, and processing each of the obtained data by a predetermined statistical method. That is, it can be said that the correlation is a function in which the amount of water in the oil is the objective variable and the environmental data or the like is the explanatory variable.

The statistical method is not particularly limited, but from the viewpoint of simplicity and high accuracy of prediction data, for example, simple regression analysis with the water content in oil as the objective variable and one kind of environmental data as the explanatory variable. Is preferable, and multiple regression analysis using two or more kinds of environmental data as explanatory variables is more preferable. The predetermined period is not particularly limited and may be appropriately determined according to the type of machine in which oil is used, but from the viewpoint of improving the accuracy of prediction data, for example, 2 weeks and 1 month. It is preferable that the period is long to some extent, such as a period of two months or a period of four months or more.

It is preferable that the correlation and the data measured in the past are stored in, for example, the ROM or the storage unit of the water mixing detection device 1. For example, the prediction data calculation means 12 substitutes the value of the environmental data or the like acquired by the environmental data acquisition means 11 into the function stored as the correlation, and calculates the prediction data regarding the water content in the oil.

Further, the correlation is configured to be sequentially updated based on the environmental data acquired by the prediction data calculation means 12 and the actual measurement data regarding the water content in the oil acquired by the actual measurement data acquisition means 13 described later. You may. That is, newly acquired environmental data and the actual measurement data regarding the water content are added to the previously measured environmental data and the actual measurement data regarding the water content at a predetermined timing, and the data including the additional amount is newly statistically processed. By doing so, the correlation may be updated. With such a configuration, it is possible to further improve the accuracy of the prediction data.

From the viewpoint of improving the accuracy of the prediction data, for example, the position where the environmental data or the like used for calculating the correlation is measured and the position where the environmental data or the like acquired by the environmental data acquisition means 11 is measured are , It is preferable that the positions are substantially the same. The correlation differs depending on the type and usage environment of the machine in which the oil is used, the type and years of use of the oil, and the measurement position of environmental data and the like. For example, taking the lubricating oil used for the internal combustion engine of a ship as an example, the correlation differs from ship to ship.

The actual measurement data acquisition means 13 has a function of acquiring actual measurement data regarding the amount of water in the oil measured by the water content measuring device 4. The actual measurement data acquisition means 13 receives, for example, the actual measurement data regarding the water content in the oil from the water content measuring device 4 via the communication network 2. It is preferable that the actually measured data regarding the received water content is stored in the storage unit.

The condition determination means 14 compares the actual measurement data acquired by the actual measurement data acquisition means 13 with the prediction data calculated by the prediction data calculation means 12, and whether the relationship between the actual measurement data and the prediction data satisfies a predetermined condition. It has a function to determine whether or not. The predetermined condition is, for example, a condition for determining whether or not the water content in the oil is normal under the environmental conditions, and it can be said that the predicted data and the actually measured data are abnormally different from each other. It is a condition. As a predetermined condition, for example, the difference between the predicted data and the actually measured data is equal to or more than the predetermined allowable range, or the amount of change in the difference between the predicted data and the actually measured data per unit time is equal to or more than the predetermined allowable range. , Is preferable. The predetermined allowable range may be set in advance by the user, or may use a value specified by the allowable range specifying means 16 described later.

The information output means 15 has a function of outputting information indicating that the condition determination means satisfies the predetermined condition when the condition determination means 14 determines that the relationship between the measured data and the prediction data satisfies the predetermined condition. It is preferable that the information output means 15 outputs information for displaying on a predetermined display device that a predetermined condition is satisfied, or for outputting audio by a predetermined audio output device, for example. That is, the information output means 15 outputs a visual or auditory alarm (hereinafter, also referred to as “alarm”) when it is determined that the water content in the oil is abnormal under the environmental conditions. It is preferable to have.

The permissible range specifying means 16 has a function of specifying a permissible range used when determining whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition. The permissible range specifying means 16 preferably specifies the permissible range based on, for example, the history of the difference between the predicted data and the actually measured data, or the history of the amount of change in the difference between the predicted data and the actually measured data per unit time. By providing the permissible range specifying means 16, for example, an abnormality such as an unexpected or abnormal increase in water content in oil can be detected more accurately. The permissible 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 in the normal range. The permissible range specifying means 16 may, for example, specify an allowable upper limit as a difference between the predicted data and the actually measured data.

Next, the moisture contamination detection process according to the embodiment of the present invention will be described. In the following, as an example of the water mixing detection process, when detecting water mixing such as an unexpected or abnormal increase in water content in the lubricating oil used for the internal combustion engine of a ship (hereinafter, also referred to as "main engine"). To give an explanation. The purpose of the oil and the machine in which the oil is used are not limited to the above examples, and for example, machine oil such as cooling oil and hydraulic oil, an external combustion engine in which the machine oil is used, and other machines. It can be widely applied to factory machinery.

Further, in the following example, the water content in the oil is a water activity value (unit: aw) measured using a commercially available water activity value measuring sensor. Further, as environmental data and the like, the temperature and humidity measured in the engine room where the 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 water content in oil and the environmental data of oil. FIG. 2 is an example of a graph showing actual measurement data of the amount of water in oil and measurement data regarding the ambient environment of oil according to the embodiment of the present invention, and supports the above findings of the present inventors. Specifically, FIG. 2 shows the main engine load, the temperature and humidity (relative humidity) in the engine room, and the period from 0:00 on July 9, 2017 to 0:00 on July 24, 2017. The water activity value in the lubricating oil was measured every hour, and the obtained value was plotted. In FIG. 2, “ME Load” indicates the main engine load, “ER Temp” indicates the temperature in the engine room, “ER Humid” indicates the humidity in the engine room, and “WIO” indicates the water activity value in the lubricating oil.

From FIG. 2, it can be seen that there is a correlation between the water activity value in the lubricating oil and the temperature and humidity in the engine chamber. In the following example, using the data measured in advance as shown in FIG. 2, multiple regression analysis is performed with the water activity value in the lubricating oil as the objective variable and the temperature and humidity in the engine room as the explanatory variables. The correlation is obtained, and the obtained correlation (for example, a multiple regression equation) is stored in the storage unit of the water content detection device 1.

In the example of FIG. 2, in the section where the main engine load greatly increases or decreases, such as immediately after the start of operation of the main engine and after the operation is stopped, the water activity value in the lubricating oil and the temperature and humidity in the engine room are higher than those in the other sections. The correlation with is weakened. Therefore, from the viewpoint of improving the accuracy of the prediction data, it is preferable not to use the data of such an interval when calculating the function showing the correlation by performing statistical processing.

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 engine room (step A1). Next, the environmental data measuring device 3 transmits the measured temperature and humidity data to the moisture mixing detecting device 1 (step A2). The data transmitted in step A2 preferably includes information about the time when those data were measured. The environmental data measuring device 3 repeats the processes of steps A1 to 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 regarding the measured water activity value to the water mixing detection device 1 (step B2). The data transmitted in step B2 preferably includes information about the time when the data was measured. The water content measuring device 4 repeats the processes of steps B1 to B2 continuously or at predetermined intervals.

The water content detection device 1 receives the data regarding the temperature and humidity transmitted in step A2, and also receives the data regarding the water activity value transmitted in step B2 (step S1). Each received data is preferably stored in a storage unit in association with data relating to the measured time.

Next, the water content 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 value is calculated by substituting temperature and humidity into the multiple regression equation (two-variable linear function) calculated as the correlation. The correlation may be updated using each of the newly received data, triggered by the reception of each of the newly measured data in step S1.

Further, in step S2, the predicted value may be calculated using the formula as shown in FIG. FIG. 4 is an example of a graph showing the relationship between the water activity value and the temperature at each humidity according to the embodiment of the present invention. In the example of FIG. 4, when the humidity in the engine room is 100%, the predicted value of the water activity value can be calculated by substituting the measured temperature into the equation of the top straight line shown by the solid line. .. Similarly, when the humidity is different, the predicted value can be calculated by substituting the temperature value into the linear equation corresponding to each humidity.

Next, in the water mixing detection device 1, whether or not the data regarding the water activity value received in step S1, that is, the relationship between the measured value of the water activity value and the predicted value calculated in step S2 satisfies a predetermined condition. (Step S3). It is preferable that the actually measured value and the predicted value to be compared are values based on data measured at substantially the same time. Note that step S3 will be described in more detail in a later paragraph.

When it is determined in step S3 that the predetermined condition is satisfied (Yes in step S3), that is, when water contamination is detected, the moisture contamination detection device 1 outputs information indicating that the predetermined condition is satisfied. (Step S4), the process ends. In step S4, for example, a message indicating that moisture contamination has been detected on a predetermined display device is displayed, a voice indicating that moisture contamination has been detected is output from the predetermined voice output device, and these are combined. By doing so, a visual and / or auditory 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 water content detection device 1 receives data on temperature and humidity from the environmental data measurement device 3, and each time it receives data on the water activity value from the water content measurement device 4, the processes of steps S1 to S4 described above are performed. repeat.

Hereinafter, the process of step S3 will be described in detail. In step S3, for example, it is a predetermined condition that the difference between the predicted value and the measured value is equal to or more than a preset allowable range. The permissible range can be appropriately set based on, for example, the data used when calculating the function showing the correlation, the residual analysis of the data, and the like. For example, when the permissible range is set to 0.15aw and the predicted value is 0.25aw, if the measured value is 0.40aw or more, it is determined that a predetermined condition is satisfied, and water contamination is detected. An alarm indicating that is output.

FIG. 5 is a graph showing an example of the alarm range according to the embodiment of the present invention. The straight line L shown in FIG. 5 is a simple regression equation with the water activity value as the objective variable and the temperature in the engine room as the explanatory variable for easy understanding.

In the example of FIG. 5, the region having a threshold value T1 (water activity value 0.5 aw) or more is defined as a “High Allarm” region, and the region having a threshold value T2 (water activity value 0.9 ow) or more is defined as a “High-High Alarm” region. .. Since these areas have a high risk of free water generation, they are in the range where an alarm has been issued in the past, and if the measured values are included in these areas, the free water is irrespective of the predicted value. An alarm is output indicating that the risk of occurrence is high. The values of the threshold values T1 and T2 may be changed as appropriate.

A region excluding the "High Allarm" region and the "High-High Allarm" region, which is separated from the straight line L indicating the simple regression equation by a predetermined allowable range P or more, is "added" to the conventional alarm range. "Alarm range".

As in the past, when the alarm range is only the "High Alarm" region and the "High-High Alarm" region, that is, when the alarm range is only within the range above a uniformly set threshold value, water contamination occurs in the lubricating oil. Even if it does, the alarm will not be issued unless it exceeds a uniformly set threshold value, so it is not possible to detect water contamination at an early stage. Further, if the threshold value for indicating the "High Alarm" region is set to a lower value, the saturated water content changes due to the fluctuation of the temperature of the lubricating oil, or it is usually assumed under the environmental conditions. Even if the water activity value increases within the range that can be considered normal due to an increase in the amount of water, an alarm will be issued.

Therefore, in the example of FIG. 5, the region where the difference between the predicted value and the measured value is equal to or greater than the predetermined allowable range P is defined as the “added alarm range”, and a new alarm range that has not existed in the past is added. It enables early detection of water contamination and prevents an alarm from being issued even in a normal state. The "added alarm range" is a range that deviates from the predicted value by a predetermined allowable range P or more, that is, a range that greatly deviates from the value that should be in a normal state. Therefore, if the measured value is in the range, It can be judged that the lubricating oil is not in a normal state and water is mixed.

Further, the predetermined allowable range P may be configured to be updated based on the history of the difference between the predicted value and the measured value or the history of the amount of change in the difference between the predicted value and the measured value per unit time. good. With such a configuration, the accuracy of detecting water contamination can be further improved.

In the example of FIG. 5, an alarm is issued when the measured value is larger than the predicted value by a predetermined allowable range P or more, but further, an alarm is issued when the measured value is smaller than the predetermined allowable range P or more. You may try to issue. When the measured value is smaller than the above-mentioned predetermined allowable range P, it is unlikely that water contamination has occurred, but there is a possibility that some other problem has occurred. The permissible range when the measured value deviates upward from the predicted value and the permissible range when the measured value deviates downward from the predicted value may be different.

Further, in step S3, a predetermined condition may be set so that the amount of change in the difference between the predicted data and the measured data per unit time is equal to or greater than a predetermined allowable range, or other conditions may be set. The present invention relates to whether or not the water content in oil is really normal under the environmental conditions by comparing the value that should be in a normal state with the value actually measured. Is to judge. Therefore, the predetermined condition is not particularly limited as long as it can be determined that the state is not normal. In addition, a plurality of predetermined conditions can be set, and for example, it is preferable that an alarm is issued when any one of the conditions is satisfied.

1 Moisture contamination detection device 2 Communication network 3 Environmental data measurement device 4 Moisture content measurement device 5 Moisture contamination detection system

Claims (10)

It is a water mixing detection device for detecting water mixing in oil.
Measured oil environmental data and / or oil ambient environment data based on the correlation between oil environmental data and / or oil ambient environment data and data on absolute water content or moisture activity value in oil Prediction data calculation means for calculating prediction data regarding absolute water content or water activity value in oil from
An actual measurement data acquisition means for acquiring actual measurement data on the absolute water content or water activity value in oil, and
A condition determining means for comparing the acquired measured data with the calculated predicted data to determine whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition.
A moisture contamination detection device including an information output means for outputting information indicating that a predetermined condition is satisfied when it is determined that the relationship between the measured data and the predicted data satisfies a predetermined condition. The moisture contamination detection device according to claim 1, wherein the data regarding the ambient environment of the oil is at least one data of a group consisting of temperature, humidity and atmospheric pressure at a predetermined position around the oil. The water content detection device according to claim 1 or 2, wherein the data regarding the absolute water content or water activity value in the oil is the water activity value of the oil. The correlation between the environmental data of oil and / or the data on the ambient environment of oil and the data on the absolute water content or water activity value in the oil is the measured environmental data of oil and / or the data on the ambient environment of oil, and The water content detection device according to any one of claims 1 to 3, which is obtained by multiple regression analysis based on the measured data on the absolute water content or the water activity value in the oil . The predetermined condition is that the difference between the predicted data and the actually measured data is equal to or more than the predetermined allowable range, or the amount of change in the difference between the predicted data and the actually measured data per unit time is equal to or more than the predetermined allowable range. , The moisture contamination detection device according to any one of claims 1 to 4. Allowance to specify the allowable range based on the history of the difference between the predicted data and the measured data regarding the absolute water content or the water activity value in the oil , or the history of the amount of change in the difference between the predicted data and the measured data per unit time. The water content detection device according to claim 5, further comprising a range specifying means. The moisture contamination detection device according to any one of claims 1 to 6, wherein the information indicating that the predetermined condition is satisfied is an alarm. A moisture contamination detection program that allows a computer device to detect moisture contamination in oil.
Computer equipment,
Measured oil environmental data and / or oil ambient environment data based on the correlation between oil environmental data and / or oil ambient data and absolute water content or moisture activity data in the oil. Prediction data calculation means for calculating prediction data regarding absolute water content or water activity value in oil from
Measured data acquisition means for acquiring measured data on absolute water content or water activity value in oil ,
A condition determining means for comparing the acquired measured data with the calculated predicted data to determine whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition.
A moisture contamination detection program that functions as an information output means 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 a predetermined condition. It is a water contamination detection method executed in a moisture contamination detection device that detects moisture contamination in oil.
Measured oil environmental data and / or oil ambient environment data based on the correlation between oil environmental data and / or oil ambient environment data and data on absolute water content or moisture activity value in oil Calculate the predicted data on the absolute water content or water activity value in the oil from
Obtain actual measurement data on absolute water content or water activity value in oil ,
By comparing the acquired measured data with the calculated predicted data, it is determined whether or not 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 a predetermined condition, information indicating that the predetermined condition is satisfied is output.
Moisture contamination detection method. A water content detection device for detecting water content in the lubricating oil used in the internal combustion engine or external combustion engine of a ship, and a water content measurement device that can measure actual measurement data on the absolute water content or water activity value in the lubricating oil. It is a moisture contamination detection system that has
Moisture contamination detector
Based on the 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 absolute water content or the water activity value in the lubricating oil, the environmental data of the lubricating oil and / or the lubricating oil actually measured Prediction data calculation means for calculating prediction data on absolute water content or water activity value in lubricating oil from data on the surrounding environment of
An actual measurement data acquisition means for acquiring actual measurement data on an absolute water content or a water activity value in a lubricating oil measured by a water content measuring device.
A condition determining means for comparing the acquired measured data with the calculated predicted data to determine whether or not the relationship between the measured data and the predicted data satisfies a predetermined condition.
It is provided with an information output means for outputting information indicating that the predetermined condition is satisfied when it is determined that the relationship between the measured data and the predicted data satisfies the predetermined condition.
Moisture contamination detection system.

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