DK181350B1 - WATER MIXTURE DETECTION DEVICE, WATER MIXTURE DETECTION PROGRAM, WATER MIXTURE DETECTION METHOD AND WATER MIXTURE DETECTION SYSTEM - Google Patents
WATER MIXTURE DETECTION DEVICE, WATER MIXTURE DETECTION PROGRAM, WATER MIXTURE DETECTION METHOD AND WATER MIXTURE DETECTION SYSTEM Download PDFInfo
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- DK181350B1 DK181350B1 DKPA202070680A DKPA202070680A DK181350B1 DK 181350 B1 DK181350 B1 DK 181350B1 DK PA202070680 A DKPA202070680 A DK PA202070680A DK PA202070680 A DKPA202070680 A DK PA202070680A DK 181350 B1 DK181350 B1 DK 181350B1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/26—Oils; viscous liquids; paints; inks
- G01N33/28—Oils, i.e. hydrocarbon liquids
- G01N33/30—Oils, i.e. hydrocarbon liquids for lubricating properties
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/26—Oils; viscous liquids; paints; inks
- G01N33/28—Oils, i.e. hydrocarbon liquids
- G01N33/2835—Oils, i.e. hydrocarbon liquids specific substances contained in the oil or fuel
- G01N33/2847—Water in oil
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/26—Oils; viscous liquids; paints; inks
- G01N33/28—Oils, i.e. hydrocarbon liquids
- G01N33/2888—Lubricating oil characteristics, e.g. deterioration
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
Abstract
It is an object of the present invention to provide a water mixing detection device capable of determining whether or not the water content in the oil is actually normal under the environmental condition. The above object is solved by a water mixing detection device for detecting water mixed into oil, the water mixing detection device including: a predictive data calculator that calculates, based on a correlation between environmental data of oil and/or data regarding a surrounding environment of the oil and data regarding a water content in the oil, predictive data regarding the water content in the oil from actually measured environmental data of the oil and/or data regarding the surrounding environment of the oil; a measured data acquirer that acquires measured data regarding the water content in the oil; a condition determiner that determines whether or not a relation between the measured data and the predictive data satisfies a prescribed condition by comparing the acquired measured data and the calculated predictive data; and an information out-putter that outputs information indicating that the prescribed condition is satisfied, when it is determined that the relation between the measured data and the predictive data satisfies the prescribed condition.
Description
DK 181350 B1 1
WATER MIXING DETECTION DEVICE, WATER MIXING DETECTION
PROGRAM, WATER MIXING DETECTION METHOD, AND WATER
MIXING DETECTION SYSTEM
[0001]
The present invention relates to a water mixing detection device, a water mixing detection program, a water mixing detection method, and a water mixing detection system.
[0002]
In general, in machine oil such as lubricating oil, when a water content dissolved in the oil is increased, its function as the machine oil is deteriorated. In particular, when the water content dissolved in the machine oil exceeds a saturated water content and turns out as free water in the oil, it is known to increase the possibility of causing failure and damage to the machine. For example, in an internal combustion engine such as a diesel engine and an external combustion engine such as a steam turbine, when free water is generated in the lubricating oil, seizure and the like tends to occur due to shortage of oil film, thereby
DK 181350 B1 2 increasing the possibility of having breakage accidents such as damage to a bearing.
US 3037374 A discloses a system for continuously monitoring the water content of a liquid comprising a contact chamber nor-mally closed to the atmosphere and having liquid inlet means and liquid outlet means, said inlet means and outlet means being arranged to partially fill said chamber with said liquid thereby trapping air above the level of the liquid in said chamber, means for forcing said air through said liquid in intimate contact therewith, said means for forcing said air comprising a circuit including an air outlet tube connected to said chamber above the surface of said liquid, an air pump, and an air return tube extending a substantial distance below the surface of said liquid, and hygrometer means connected in said circuit for determining the percent saturation of said air whereby the water content of said air may be calculated.
[0003]
Thus, in order to prevent in advance the breakage accidents caused by the increase in the water content of the machine oil, the water content dissolved in the machine oil is monitored and managed. Since the saturated water content of the machine oil varies depending on the factors such as the kind and use period of the machine oil, and temperature at the time of use, it is considered more appropriate to use a water activity value (Water Activity: Aw) that is a relative water content than to use an absolute water content (for example, ppm) dissolved in the oil, so as to monitor and manage the water content.
[0004]
DK 181350 B1 3
As a device for monitoring and managing the water content in the lubricating oil by using the water activity value, disclosed in Patent
Literature 1, for example, is a device that calculates the water activity value from an electrostatic capacitance in the lubricating oil and an oil temperature and, when the calculated water activity value exceeds a threshold value decided based on a result of rolling and sliding contact fatigue life test, diagnoses the lubricating oil as being in an abnormal state.
Patent Literature
[0005]
Patent Literature 1: Japanese Patent Laid-Open No. 2012-180921
[0006]
However, with a method that compares a measured value of the water activity value and a prescribed threshold value as in the case of the device disclosed in Patent Literature 1, even in a case where the water activity value increases because of a failure generated in a lubricating oil system such as having water mixed into the lubricating oil from an oil cleaner and exhibits a higher value than a value normally expected under such environmental condition, for example, it is diagnosed as being normal unless the water activity value exceeds the
DK 181350 B1 4 threshold value. As described, with the device disclosed in Patent
Literature 1, when the water activity value is equal to or less than the threshold value, it is not possible to determine whether or not the water activity value is actually normal under the environmental condition.
[0007]
The present invention is designed in view of the foregoing problem.
That is, it is an object of the present invention to provide a water mixing detection device capable of determining whether or not the water content in the oil is actually normal under the environmental condition.
[0008]
The inventors of the present invention have assumed that the foregoing problem can be overcome by using a predictive value (a value expected in a normal case) regarding the water content in the oil instead of the prescribed threshold value as a comparison target of the measured value regarding the water content of the oil. Further, the inventors of the present invention have assumed that it is possible to detect an unexpected or abnormal increase in the water content even in a range thatis determined as normal with the conventional method, for example, by outputting information (for example, a warning or the like) indicating that a prescribed condition is satisfied, when a relation between the measured value and the predictive value satisfies the prescribed condition, such as when a difference between both values is outside a prescribed acceptable range.
DK 181350 B1
[0009]
Further, as a result of intensive studies, the inventors of the present invention have come to complete the present invention by finding that there is a correlation between the water content in the oil 5 and environmental data of the oil (for example, oil temperature and the like) as well as data regarding the surrounding environment of the oil (for example, temperature, humidity, and the like of the surrounding) and that the water content in the oil can be predicted by measuring the environmental data of the oil and the data regarding the surrounding environment of the oil. [00 10]
The gist of the present invention is as follows.
[0011]
[1] A water mixing detection device for detecting water mixed into oil, the water mixing detection device comprising: a predictive data calculator that calculates, based on a correlation between environmental data of oil and/or data regarding a surrounding environment of the oil and data regarding a water content in the oil, predictive data regarding the water content in the oil from actually measured environmental data of the oil and/or data regarding the surrounding environment of the oil; a measured data acquirer that acquires measured data regarding the water content in the oil; a condition determiner that determines whether or not a relation between the measured data and the predictive data satisfies a prescribed
DK 181350 B1 6 condition by comparing the acquired measured data and the calculated predictive data; an information out-putter that outputs information indicating that the prescribed condition is satisfied, when it is determined that the relation between the measured data and the predictive data satisfies the prescribed condition; wherein the predictive data calculator updates the correlation by adding, at a prescribed timing, the environmental data and the measured data regarding the water content in the oil acquired anew to the environmental data and the measured data regarding the water content in the oil measured in the past, and by performing statistical processing anew on the data including the added data, the prescribed condition is defined such that a difference between the predictive data and the measured data is equal to or larger than a prescribed acceptable range or such that a change amount in the difference between the predictive data and the measured data per unit time is equal to or larger than the prescribed acceptable range; and an acceptable range identificator that identifies the acceptable range based on a history of the difference between the predictive data and the measured data regarding the water content in the oil or a history of the change amount in the difference between the predictive data and the measured data per unit time.
[0012]
DK 181350 B1 7
[2] The water mixing detection device according to above [1], wherein the information indicating that the prescribed condition is satisfied is a warning.
[0013]
[3] A water mixing detection program causing a computer device to execute detection of water mixed into oil, the water mixing detection program causing the computer device to function as: a predictive data calculator that calculates, based on a correlation between environmental data of oil and/or data regarding a surrounding environment of the oil and data regarding a water content in the oil, predictive data regarding the water content in the oil from actually measured environmental data of the oil and/or data regarding the surrounding environment of the oil; a measured data acquirer that acquires measured data regarding the water content in the oil; a condition determiner that determines whether or not a relation between the measured data and the predictive data satisfies a prescribed condition by comparing the acquired measured data and the calculated predictive data; an information out-putter that outputs information indicating that the prescribed condition is satisfied, when it is determined that the relation between the measured data and the predictive data satisfies the prescribed condition; wherein the predictive data calculator updates the correlation by adding, at a prescribed timing, the environmental data and the measured data
DK 181350 B1 8 regarding the water content in the oil acquired anew to the environmental data and the measured data regarding the water content in the oil measured in the past, and by performing statistical processing anew on the data including the added data, the prescribed condition is defined such that a difference between the predictive data and the measured data is equal to or larger than a prescribed acceptable range or such that a change amount in the difference between the predictive data and the measured data per unit time is equal to or larger than the prescribed acceptable range; and an acceptable range identificator that identifies the acceptable range based on a history of the difference between the predictive data and the measured data regarding the water content in the oil or a history of the change amount in the difference between the predictive data and the measured data per unit time.
[0014]
[4] A water mixing detection method executed in a water mixing detection device that detects water mixed into oil, the water mixing detection method comprising; calculating, based on a correlation between environmental data of oil and/or data regarding a surrounding environment of the oil and data regarding a water content in the oil, predictive data regarding the water content in the oil from actually measured environmental data of the oil and/or data regarding the surrounding environment of the oil; acquiring measured data regarding the water content in the oil;
DK 181350 B1 9 determining whether or not a relation between the measured data and the predictive data satisfies a prescribed condition by comparing the acquired measured data and the calculated predictive data; outputting information indicating that the prescribed condition is satisfied, when it is determined that the relation between the measured data and the predictive data satisfies the prescribed condition; updating the correlation by adding, at a prescribed timing, the environmental data and the measured data regarding the water content in the oil acquired anew to the environmental data and the measured dataregarding the water content in the oil measured in the past, and by performing statistical processing anew on the data including the added data; the prescribed condition is defined such that a difference between the predictive data and the measured data is equal to or larger than a prescribed acceptable range or such that a change amount in the difference between the predictive data and the measured data per unit time is equal to or larger than the prescribed acceptable range; and identifying the acceptable range based on a history of the difference between the predictive data and the measured data regarding the water content in the oil or a history of the change amount in the difference between the predictive data and the measured data per unit time.
[0015]
[5] A water mixing detection system comprising a water mixing detection device for detecting water mixed into lubricating oil used in an
DK 181350 B1 10 internal combustion engine or an external combustion engine of a vessel and a water content measurement device capable of measuring measured data regarding a water content in the lubricating oil, wherein the water mixing detection device comprises:
a predictive data calculator that calculates, based on a correlation between environmental data of the lubricating oil and/or data regarding a surrounding environment of the lubricating oil and data regarding a water content in the lubricating oil, predictive data regarding the water content in the lubricating oil from actually measured environmental data of the lubricating oil and/or data regarding the surrounding environment of the lubricating oil;
a measured data acquirer that acquires measured data regarding the water content in the lubricating oil measured by the water content measurement device;
a condition determiner that determines whether or not a relation between the measured data and the predictive data satisfies a prescribed condition by comparing the acquired measured data and the calculated predictive data;
an information out-putter that outputs information indicating that the prescribed condition is satisfied, when it is determined that the relation between the measured data and the predictive data satisfies the prescribed condition; wherein the predictive data calculator updates the correlation by adding, at a prescribed timing, the environmental data and the measured data regarding the water content in the oil acquired anew to the
DK 181350 B1 11 environmental data and the measured data regarding the water content in the oil measured in the past, and by performing statistical processing anew on the data including the added data, the prescribed condition is defined such that a difference between the predictive data and the measured data is equal to or larger than a prescribed acceptable range or such that a change amount in the difference between the predictive data and the measured data per unit time is equal to or larger than the prescribed acceptable range; and an acceptable range identificator that identifies the acceptable range based on a history of the difference between the predictive data and the measured data regarding the water content in the oil or a history of the change amount in the difference between the predictive data and the measured data per unit time.
[0021]
According to the present invention, it is possible to determine whether or not the water content in the oil is actually normal under the environmental condition.
[0022]
Fig. 1 is an example of a block diagram illustrating the configuration of the water mixing detection system according to the embodiment of the present invention.
DK 181350 B1 12
Fig. 2 is an example of a graph presenting measured data of the water content in the oil and the measured data regarding the surrounding environment of the oil according to the embodiment of the present invention.
Fig. 3 is an example of a flowchart of water mixing detection processing according to the embodiment of the present invention.
Fig. 4 is an example of a graph presenting the relations between the water activity values and the temperatures at each humidity according to the embodiment of the present invention.
Fig. 5 is a graph presenting an example of an alarm range according to the embodiment of the present invention.
[0023]
Hereinafter, embodiments of the invention will be described with reference to the accompanying drawings. Hereinafter, description relating to effects shows an aspect of the effects of the embodiments of the invention, and does not limit the effects. Further, the order of respective processes that form a flowchart described below may be changed in a range without contradicting or creating discord with the processing contents thereof.
[0024]
In the Description, "oil" means machine oil such as lubricating oil, cooling oil, hydraulic oil, or the like, for example. Further, in the
DK 181350 B1 13
Description, "water content in oil" means the amount of water dissolved in the oil, which is expressed by using a prescribed scale, for example.
[0025]
First, a configuration of a water mixing detection system according to an embodiment of the present invention will be described. Fig. 1 is an example of a block diagram illustrating the configuration of the water mixing detection system according to the embodiment of the present invention. As illustrated, a water mixing detection system 5 includes a water mixing detection device 1, a communication network 2, an environmental data measurement device 3, and a water content measurement device 4.
[0026]
The environmental data measurement device 3 is a device for measuring environmental data of oil and/or data regarding a surrounding environment of the oil (hereinafter, also referred to as "environmental data and the like"), and includes at least an environmental data measurer 31. As the environmental data measurement device 3, it is possible to employ a conventional known device as appropriate depending on the measurement target. Further, there may be a plurality of environmental data measurement devices 3 depending on the number of measurement targets.
[0027]
There is no specific limit set for the environmental data of the oil and the data regarding the surrounding environment of the oil to be the measurement targets as long as it has a correlation with the water
DK 181350 B1 14 content in the oil and the predictive data of the water content in the oil can be calculated based thereupon, for example. Specific examples of the environmental data of the oil may be the oil temperature and the oil pressure. Further, specific examples of the data regarding the surrounding environment of the oil may be the temperature, humidity, or atmospheric pressure at a prescribed position in the surrounding of the oil. There may be one kind of measurement target, or two or more kinds of those may be combined. It is preferable to use the temperature and humidity at a prescribed position in the surrounding of the oil as the measurement targets in respect that those are easy to measure and capable of increasing the accuracy of predictive data.
[0028]
Note that "prescribed position in the surrounding of oil" is not specifically limited as long as it is a position at which the environmental data and the like correlated with the water content in the oil can be measured, and may be determined as appropriate from a position inside a machine where the oil is used, in the vicinity of the machine, or an enclosed space or a semi-enclosed space where the machine is installed, for example, depending on the type of the machine, installed mode thereof, and the like. Specific preferable examples may be any positions in a machinery room, an engine room, and the like. Note that "enclosed space" means an area capable of maintaining a state where inflow and outflow of air hardly occur, for example. Further, "semi-enclosed space" means an area capable of maintaining a state where inflow and outflow of air occur only partially, for example.
DK 181350 B1 15
[0029]
The water content measurement device 4 is a device for measuring measured data regarding the water content in the oil, and includes at least a water content measurer 41. As the water content measurement device 4, it is possible to employ a conventional known device as appropriate depending on the scale to be used. There is no specific limit set for the scale to be used when measuring the water content and, for example, an absolute water content (for example, ppm) or a relative water content such as a water activity value may be used. It is preferable to use the water activity value in respect that it is possible to evaluate the risk of having free water directly and easily regardless of the kind of oil, use period, temperature at the time of use, and the like.
[0030]
The environmental data measurement device 3 and the water content measurement device 4 are connected to the water mixing detection device 1 via the communication network 2. The environmental data measurement device 3 and the water content measurement device 4 may not be connected to the water mixing detection device 1 at all times as long as it is possible to be connected when necessary. Further, connection therebetween may be wireless or wired connection.
[0031]
The environmental data and the like measured by the environmental data measurement device 3 and the measured data
DK 181350 B1 16 regarding the water content in the oil are transmitted to the water mixing detection device 1 via the communication network 2.
[0032]
Note that the water mixing detection system 5 may not include the communication network 2. In a case of such configuration, the data measured by the environmental data measurement device 3 and the water content measurement device 4 may be inputted directly to the water mixing detection device 1 by a user, for example.
[0033]
The water mixing detection device 1 includes an environmental data acquirer 11, a predictive data calculator 12, a measured data acquirer 13, a condition determiner 14, an information out-putter 15, and an acceptable range identificator 16.
[0034]
Although not illustrated, the water mixing 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. In the ROM or the storage unit of the water mixing detection device 1, a program for executing each processing by the water mixing detection device 1 of the water mixing detection system according to the embodiment of the present invention is stored. Each processing executed by the water mixing detection device 1 includes processing achieved by each means described in detail hereinafter and processing to be described later by using a flowchart of Fig. 3.
[0035]
DK 181350 B1 17
The environmental data acquirer 11 has a function of acquiring the environmental data and the like measured by the environmental data measurement device 3. The environmental data acquirer 11 receives the environmental data and the like from the environmental data measurement device 3 via the communication network 2, for example. It is preferable for the received environmental data and the like to be stored in the storage unit.
[0036]
The predictive data calculator 12 has a function of calculating the predictive data regarding the water content in the oil from the environmental data and the like measured by the environmental data measurement device 3 based on a correlation between the environmental data of the oil and/or the data regarding the surrounding environment of the oil and the data regarding the water content in the oil (hereinafter, also simply referred to as "correlation").
[0037]
The correlation can be acquired by actually measuring the water content in the oil, the environmental data, and the like over a prescribed period under a normal state where it is assumed that there is no unexpected increase and the like in the water content in the oil or it is assumed that the water content in the oil is in a normally expected value under the environmental condition, and by processing each of the acquired data by a prescribed statistical method, for example. That is, the correlation is considered a function having the water content in the
DK 181350 B1 18 oil as an objective variable and the environmental data and the like as an explanatory variable.
[0038]
There is no specific limit set for the statistical method. However, in terms of its easiness and accuracy of the predictive data acquired thereby, a simple regression analysis having the water content in the oil as an objective variable and one kind of environmental data and the like as an explanatory variable is preferable, for example, and a multiple regression analysis having two kinds or more of environmental data and the like as the explanatory variables is more preferable. Further, the prescribed period is not specifically limited, and may be determined as appropriate depending on the type and the like of the machine where the oil is used. However, in terms of increasing the accuracy of the predictive data, it is preferable to be a long period to some extent, such as a period of two weeks, one month, two months, or four months or more, for example.
[0039]
It is preferable for the correlation and the data measured in the past to be stored in the ROM, the storage unit, or the like of the water mixing detection device 1, for example. The predictive data calculator 12 calculates the predictive data regarding the water content in the oil by substituting the values of the environmental data and the like acquired by the environmental data acquirer 11 into the function stored as the correlation, for example.
[0040]
DK 181350 B1 19
Further, the correlation may be updated successively based on the environmental data and the like acquired by the predictive data calculator 12 and the measured data regarding the water content in the oil acquired by the measured data acquirer 13 to be described later.
Thatis, the correlation may be updated by adding, at a prescribed timing, the environmental data and the like and the measured data regarding the water content acquired anew to the environmental data and the like and the measured data regarding the water content measured in the past, and by performing statistical processing anew on the data including the added data. With such configuration, it becomes possible to increase the accuracy of the predictive data further.
[0041]
In terms of increasing the accuracy of the predictive data, it is preferable for the position at which the environmental data and the like used for calculating the correlation are measured and the position at which the environmental data and the like are acquired by the environmental data acquirer 11, for example, to be substantially the same position. Note that the correlation varies depending on the type as well as the use environment of the machine where the oil is used, the kind as well as the use period of the oil, the measurement position and the like of the environmental data and the like. For example, referring to cases of the lubricating oil used in internal combustion engines in vessels, the correlation varies for each vessel.
[0042]
DK 181350 B1 20
The measured data acquirer 13 has a function of acquiring the measured data regarding the water content in the oil measured by the water content measurement device 4. The measured data acquirer 13 receives the measured data regarding the water content in the oil from the water content measurement device 4 via the communication network 2, for example. It is preferable for the received measurement data regarding the water content to be stored in the storage unit.
[0043]
The condition determiner 14 has a function of comparing the measured data acquired by the measured data acquirer 13 with the predictive data calculated by the predictive data calculator 12 to determine whether or not the relation between the measured data and the predictive data satisfies a prescribed condition. The prescribed condition is a condition for determining whether or not the water content in the oil is proper under the environmental condition, for example, and it is a condition where the predictive data is extremely deviated from the measured data. The prescribed condition is preferable to be defined such that the difference between the predictive data and the measured data is equal to or larger than a prescribed acceptable range or that a change amount of the difference between the predictive data and the measured data per unit time is equal to or larger than a prescribed acceptable range, for example. Note that the prescribed acceptable ranges may be set in advance by the user, or values specified by the acceptable range identificator 16 to be described later may be used, for example.
DK 181350 B1 21
[0044]
The information out-putter 15 has a function of, when the condition determiner 14 determines that the relation between the measured data and the predictive data satisfies the prescribed condition, outputting information indicating that the prescribed condition is satisfied. The information out-putter 15 is preferable to display on a prescribed display device that the prescribed condition is satisfied or to output information for outputting a sound by a prescribed audio output device, for example. That is, the information out-putter 15 is preferable to be configured to output a visual or audible warning (hereinafter, also referred to as "alarm") when it is determined that the water content in the oil is abnormal under the environmental condition.
[0045]
The acceptable range identificator 16 has a function of identifying the acceptable range used for determining whether or not the relation between the measured data and the predictive data satisfies the prescribed condition. The acceptable range identificator 16 is preferable to identify the acceptable range based on a history of the difference between the predictive data and the measured data or a history of the change amount in the difference between the predictive data and the measured data per unit time, for example. By providing the acceptable range identificator 16, it becomes possible to detect, for example, abnormality such as an unexpected or extreme increase in the water content in the oil more accurately. Note that the acceptable range is a range where the difference between the predictive data and the
DK 181350 B1 22 measured data is not extremely deviated, that is, a range where the measured data is within a normal range, for example. The acceptable range identificator 16 may also be configured to identify the upper limit that is acceptable as the difference between the predictive data and the measured data, for example.
[0046]
Next, water mixing detection processing according to the embodiment of the present invention will be described. Hereinafter, as an example of the water mixing detection processing, there is described a case of detecting water mixing, such as an unexpected or abnormal increase or the like in the water content in lubricating oil used in an internal combustion engine (hereinafter, also referred to as "main engine") of a vessel. The usage of the oil and the machine where the oil is used are not limited to those described above, but it is possible to be widely applied to machine oil such as cooling oil or hydraulic oil or to external combustion engines and other factory machines or the like where such machine oil is used, for example.
[0047]
Further, in the following example, the water content in the oil is the water activity value (unit: aw) measured by using a water activity value measurement sensor on the market. Further, as the environmental data and the like, used are the temperature and humidity measured in the machinery room where the internal combustion engine is placed.
[0048]
DK 181350 B1 23
As described above, the present invention is based on such findings of the inventors of the present invention that there is a correlation between the water content in the oil and the environmental data and the like of the oil. Fig. 2 is an example of a graph presenting measured data of the water content in the oil and the measured data regarding the surrounding environment of the oil according to the embodiment of the present invention, which supports the findings of the inventors of the present invention. In Fig. 2, there are plotted values acquired by measuring load of the main engine, temperature and humidity (relative humidity) within the machinery room, and water activity value in lubricating oil by every hour in a period from 0:00 on
July 9, 2017 to 0:00 on July 24, 2017. In Fig. 2, "ME Load" indicates the load of the main engine, "ER Temp" indicates the temperature inside the machinery room, "ER Humid" indicates the humidity inside the machinery room, and "WIO" indicates the water activity value in the lubricating oil.
[0049]
From Fig. 2, it can be seen that there is a correlation between the water activity value in the lubricating oil and the temperature as well as the humidity inside the machinery room. In the following example, correlations are acquired by performing a multiple regression analysis having the water activity value in the lubricating oil as the objective variable and having the temperature and the humidity inside the machinery room each as the explanatory variable by using the data measured in advance as in Fig. 2, and the acquired correlations (for
DK 181350 B1 24 example, multiple regression equations) are stored in the storage unit of the water mixing detection device 1.
[0050]
In the example of Fig. 2, in the sections where the load of the main engine is greatly increased or decreased, such as the sections immediately after starting operation of the main engine and after stopping the operation, the correlations between the water activity value in the lubricating oil and the temperature as well as the humidity inside the machinery room is weaker than in other sections. Thus, in terms of improving the accuracy of the predictive data, it is preferable not to use the data of such sections when calculating the functions expressing the correlations by performing the statistical processing.
[0051]
Fig. 3 is an example of a flowchart of water mixing detection processing according to the embodiment of the present invention. The environmental data measurement device 3 measures the temperature and the humidity inside the machinery room (step Al). Then, the environmental data measurement device 3 transmits the data regarding the measured temperature and the humidity to the water mixing detection device 1 (step A2). The data transmitted in step A2 is preferable to include information regarding the time at which the data is measured. The environmental data measurement device 3 performs the processing of step Al to step A2 continuously or repeatedly by every prescribed interval.
[0052]
DK 181350 B1 25
The water content measurement device 4 measures the water activity value in the lubricating oil (step B1). Then, the water content measurement 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 is preferable to include information regarding the time at which the data is measured. The water content measurement device 4 performs the processing of step Bl to step B2 continuously or repeatedly by every prescribed interval.
[0053]
The water mixing detection device 1 receives the data regarding the temperature and the humidity transmitted in step A2, and also receives the data regarding the water activity value transmitted in step B2 (step
S1). Each of the received data is preferable to be associated with the data regarding the time at which the data is measured and to be stored in the storage unit.
[0054]
Then, the water mixing detection device 1 calculates a predictive value of the water activity value in the lubricating oil based on the correlations stored in the storage unit and the data regarding the temperature and the humidity received in step S1 (step S2). In step S2, the predictive value is calculated by substituting the temperature and the humidity, respectively, to a multiple regression equation (bivariate linear function) calculated as the correlation, for example. Note that the correlation may be updated by using each data received anew upon receiving each data measured anew in step S1.
DK 181350 B1 26
[0055]
Further, in step S2, the predictive value may be calculated by using equations as drawn in Fig. 4. Fig. 4 is an example of a graph presenting the relations between the water activity values and the temperatures at each humidity according to the embodiment of the present invention. In the example of Fig. 4, when the humidity inside the machinery room is 100%, it is possible to calculate the predictive value of the water activity value by substituting the measured temperature in a linear equation at the top expressed with a solid line.
Similarly, with the cases of different humidity, it is possible to calculate the predictive value of the water activity value by substituting the value of the temperature in a linear equation corresponding to the respective humidity.
[0056]
Then, the water mixing detection device 1 determines whether or not the relation between the data regarding the water activity value received in step S1, that is, the measured value of the water activity value, and the predictive value calculated in step S2 satisfies a prescribed condition (step S3). The measured value and the predictive value to be compared are preferable to be the values that are based on the respective data measured at substantially the same time. Note that step S3 will be described in more detail in latter paragraphs.
[0057]
When it is determined in step S3 that the prescribed condition is satisfied (Yes in step S3), that is, when water mixing is detected, the
DK 181350 B1 27 water mixing detection device 1 outputs information indicating that the prescribed condition is satisfied (step S4) and terminates the processing.
In step S4, a visual and/or audible warning is outputted by displaying a message indicating that water mixing is detected on a prescribed display device, by outputting a sound indicating that water mixing is detected from a prescribed audio output device, or by combining those, for example.
[0058]
Meanwhile, when it is determined in step S3 that the prescribed condition is not satisfied (No in step S3), the processing is terminated.
Note that the water mixing detection device 1 repeats the processing of step S1 to step S4 described above every time the data regarding the temperature and the humidity is received from the environmental data measurement device 3 and the data regarding the water activity value is received from the water content measurement device 4.
[0059]
Hereinafter, the processing of step S3 will be described in detail.
In step S3, the fact that the difference between the predictive value and the measured value is equal to or larger than a prescribed acceptable range set in advance is set as the prescribed condition. The acceptable range can be set as appropriate based on the data used for calculating the function expressing the correlation, a residual analysis of the data, and the like, for example. For example, in a case where the acceptable range is set as 0.15 aw and the predictive value is 0.25 aw, if the measured value is 0.40 aw or more, it is determined to satisfy the
DK 181350 B1 28 prescribed condition and an alarm indicating that water mixing is detected is outputted.
[0060]
Fig. 5 is a graph presenting an example of an alarm range according to the embodiment of the present invention. In order to facilitate easy understanding, a straight line L in Fig. 5 represents a simple regression equation having the water activity value as the objective variable and the temperature inside the machinery room as the explanatory variable.
[0061]
In the example of Fig. 5, an area equal to or higher than a threshold value T1 (water activity value: 0.5 aw) is defined as "High Alarm" area and an area equal to or higher than a threshold value T2 (water activity value: 0.9 aw) is defined as "High-High Alarm" area. Those areas are the areas where a risk of having free water is high, so that an alarm is outputted conventionally in those areas. Thus, when the measured value is in those areas, an alarm indicating that there is a high risk of having free water is outputted regardless of the predictive value. Note that the values of the threshold values T1 and T2 may be changed as appropriate.
[0062]
The area excluding the "High Alarm" area as well as the "High-High
Alarm" area and deviated from the straight line L representing the simple regression equation toward the upper side by a prescribed acceptable
DK 181350 B1 29 range P or more is "alarm range to be added" to the conventional alarm range.
[0063]
As in conventional cases where the alarm range is only the "High
Alarm" area and the "High-High Alarm" area, that is, in the cases with only a range equal to or larger than a uniformly defined threshold value, even if water is mixed in the lubricating oil, no alarm is outputted unless the value thereof does not exceed the uniformly defined threshold value.
Therefore, water mixing cannot be found at an early stage. Further, if the threshold value for indicating the "High Alarm" area is set to a still lower value, an alarm is outputted even in a case where there is an increase in the water activity value within a range considered to be normal caused due to a change in the saturated water content because of variation in the temperature of the lubricating oil or due to an increase in the water content normally expected under the environmental condition, for example.
[0064]
Thus, in the example of Fig. 5, the area where the difference between the predictive value and the measured value is equal to or larger than the prescribed acceptable range P is defined as the "alarm range to be added" and added to as a new alarm range that does not exist conventionally so as to make it possible to find water mixing at an early stage and to prevent an alarm from being outputted under a normal state. The "alarm range to be added" is the range deviated from the predictive value by the prescribed acceptable range P or more, that is,
DK 181350 B1 30 the range greatly deviated from the value supposed to be in a normal state so that, when the measured value is within that range, it can be determined that the lubricating oil is not in a normal state and water is being mixed.
[0065]
Further, the prescribed acceptable range P may be updated based on the history of the difference between the predictive value and the measured value or the history in the change amount of the difference between the predictive value and the measured value per unit time.
With such configuration, the detection accuracy of water mixing can be improved further.
[0066]
While an alarm is outputted in the example of Fig. 5 when the measured value is larger than the predictive value by the prescribed acceptable range P or more, an alarm may be outputted also when the measured value is smaller by the prescribed acceptable range P or more.
In a case where the measured value is smaller by the prescribed acceptable range P or more, there is a low possibility of having water mixing but there is a possibility of having some other failures. Note that the acceptable range for the case where the measured value is deviated from the predictive value toward the upper side and the acceptable range for the case where the measured value is deviated from the predictive value toward the lower side may be different.
[0067]
DK 181350 B1 31
Further, in step S3, the fact that the change amount in the difference between the predictive data and the measured data per unit time equals to or larger than the prescribed acceptable range may be set as the prescribed condition, or other conditions may be set. The present invention is designed to determine whether or not the water content in the oil is actually normal under the environmental condition by comparing the supposed value of the water content in the oil under a normal state and the actually measured value. Therefore, the prescribed condition is not specifically limited as long as it is the condition capable of determining as not being in the normal state.
Further, it is possible to set a plurality of prescribed conditions and, for example, it is preferable to output an alarm when one of the conditions is satisfied.
Reference Signs List
[0068] 1: WATER MIXING DETECTION DEVICE 2: COMMUNICATION NETWORK 3: ENVIRONMENTAL DATA MEASUREMENT DEVICE 4: WATER CONTENT MEASUREMENT DEVICE 5: WATER MIXING DETECTION SYSTEM
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JPH07142259A (en) * | 1993-11-18 | 1995-06-02 | Mitsubishi Electric Corp | Method and apparatus for diagnosis of abnormality of oil-filled electric apparatus |
JPH0996398A (en) * | 1995-09-29 | 1997-04-08 | Shimadzu Corp | Lubricating oil managing system |
US5656767A (en) * | 1996-03-08 | 1997-08-12 | Computational Systems, Inc. | Automatic determination of moisture content and lubricant type |
FI114339B (en) * | 2001-05-16 | 2004-09-30 | Vaisala Oyj | Method and apparatus for determining the water content of a liquid |
CN2847279Y (en) * | 2005-11-10 | 2006-12-13 | 上海港复兴船务公司 | Water content detector for lubricating oil |
CN101328917A (en) * | 2008-06-13 | 2008-12-24 | 宁波保税区天扬机械电子科技有限公司 | System and method for on-line monitoring hydraulic oil and lubricant oil conditions |
JP5461114B2 (en) * | 2009-08-28 | 2014-04-02 | 三菱重工業株式会社 | Moisture detection device in oil and moisture detection method in oil |
JP2012132686A (en) * | 2010-12-18 | 2012-07-12 | Mitsubishi Heavy Ind Ltd | Device and method for diagnosing deterioration of lubricating oil for mechanical device |
JP5661512B2 (en) * | 2011-03-03 | 2015-01-28 | Ntn株式会社 | Oil lubrication type rolling device and threshold setting method for monitoring abnormalities of moisture concentration in the lubricating oil |
JP2012181169A (en) * | 2011-03-03 | 2012-09-20 | Ntn Corp | Apparatus and method for monitoring state of rolling component |
US9354221B2 (en) * | 2013-04-29 | 2016-05-31 | General Electric Company | Turbomachine lubricating oil analyzer system, computer program product and related methods |
US10895211B2 (en) * | 2014-12-26 | 2021-01-19 | Nippon Yusen Kabushiki Kaisha | Device, program, recording medium, and method for determining device normality and abnormality involving loads |
CN106289365B (en) * | 2016-08-30 | 2019-02-15 | 施易满 | The calibration method of relative humidity measurement sensor and water activity measurement sensor |
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