CN109508056A - A kind of choosing method of centrifugal oil separator fuel Heating temperature - Google Patents
A kind of choosing method of centrifugal oil separator fuel Heating temperature Download PDFInfo
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- CN109508056A CN109508056A CN201811517121.8A CN201811517121A CN109508056A CN 109508056 A CN109508056 A CN 109508056A CN 201811517121 A CN201811517121 A CN 201811517121A CN 109508056 A CN109508056 A CN 109508056A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/30—Automatic controllers with an auxiliary heating device affecting the sensing element, e.g. for anticipating change of temperature
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Abstract
The present invention provides a kind of choosing methods of centrifugal oil separator fuel Heating temperature, specifically includes the following steps: obtaining history fuel data, the history fuel data includes history fuel density, history fuel-viscosity variation and history fuel Heating temperature, and the history fuel Heating temperature is associated with the history fuel density and the history fuel-viscosity variation；Current fuel data are measured, the current fuel data include current fuel density and current fuel viscosity；Current fuel heating temperature is determined based on the current fuel data and the history fuel data.Subjectivity caused by experience when a kind of choosing method of centrifugal oil separator fuel Heating temperature provided by the invention avoids the setting of centrifugal oil separator fuel Heating temperature simply by virtue of operator is strong, arbitrariness is also big, the defects of consistency is poor, to significantly improve the oily effect of centrifugal oil separator point.
Description
Technical field
The present invention relates to heavy oil separation technology fields；Particularly, it is related to the selecting technology of centrifugal oil separator fuel Heating temperature.
Background technique
Cheap heavy oil is widely used in the equipment such as medium and low speed marine diesel engine and oil burning boiler, and contains in heavy oil excessive
Moisture and impurity it is very unfavorable to the efficiency and service life of boat diesel engine, one side impurity excessively will lead to marine diesel
The rainbow set of machine is easily worn, and on the other hand, excess moisture can also reduce the efficiency of combustion of diesel engine, and generate to rainbow set certain
Corrosiveness.Therefore, inferior heavy oil must isolate impurity therein and moisture before being burnt into diesel engine
Come.The main function of centrifugal oil separator be exactly for isolating impurity and moisture in fuel oil, ship normal work in it is essential,
The quality of its operation conditions will directly influence quality of the fuel oil into machine.
With the raising of fuel oil temperature, the viscosity of fuel oil is to reduce.Therefore, it in order to reduce the dynamic viscosity of fuel oil, obtains
Better precipitation and purification effect is obtained, needs to heat the fuel oil in settling tank.When dividing oil, the selection of fuel Heating temperature
Very crucial, the too low viscosity that can make fuel oil of the temperature of selection increases, and separating effect is made to be deteriorated.The temperature of selection is excessively high to make water
Water shutoff vaporization influences a point oily effect.The selection of fuel oil temperature is mainly according to the suggestion of centrifugal oil separator operation manual when dividing oil at present
What range and the experience of operator carried out.But the suggested range of centrifugal oil separator operation manual is than broad；And according to operator
Subjectivity is very strong being arranged for the experience of member, and temperature selected by operator not abundant for experience often greatly deviates from most
Good set temperature is deteriorated so as to cause a point oily effect for centrifugal oil separator, is unable to reach desired effect.
Summary of the invention
The present invention is directed to solve the technical problem in above-mentioned technology at least to a certain extent.For this purpose,
It, not only can be to avoid a point oil it is an object of the invention to propose a kind of choosing method of centrifugal oil separator fuel Heating temperature
Subjectivity caused by experience when machine fuel Heating temperature is set simply by virtue of operator is strong, and arbitrariness is also big, consistency difference etc.
Defect, to significantly improve the oily effect of centrifugal oil separator point；And history fuel oil is made by dynamic more new historical fuel data
Sample size is constantly expanded, so that it is guaranteed that the science and accuracy of the current fuel heating temperature calculated automatically.
In order to achieve the above objectives, the embodiment of the present invention proposes a kind of choosing method of centrifugal oil separator fuel Heating temperature, the party
Method includes: to obtain history fuel data, and the history fuel data includes history fuel density, history fuel-viscosity variation and history combustion
Oily heating temperature, the history fuel Heating temperature are associated with the history fuel density and the history fuel-viscosity variation；It surveys
Current fuel data are measured, the current fuel data include current fuel density and current fuel viscosity；Based on the current combustion
Oily data and the history fuel data determine current fuel heating temperature.
Preferably, the current fuel data and the history fuel data determine whether to update the history fuel oil number
According to.
Preferably, described to determine whether to update the history fuel data, comprising: when the current fuel data with it is described
When history fuel data difference, the current fuel data and the current fuel heating temperature sample new as one are remembered
Record is appended in the history fuel data；When the current fuel data are identical as the history fuel data, do not update
The history fuel data.
Preferably, the history fuel data accesses cloud server by network controller or third party's network equipment obtains
It takes, the network controller makees protocol adaptation to the history fuel data.
Preferably, the current fuel data and/or the current fuel heating temperature of determination pass through man-machine interface quilt
Automatic monitoring in real time.
Preferably, the man-machine interface includes but is not limited to touch screen, display screen, operator control panel, display interface, monitoring circle
The interactive devices such as face, touch interface.
Preferably, the current fuel data can be monitored in real-time, and the current fuel data are shown described
Man-machine interface, or the current fuel heating temperature for being computed prediction is shown in the man-machine interface.
Preferably, the man-machine interface support outputs and inputs operation, and the input receives the instruction or movement of operator
Input, the output include the visual patterns such as figure, text.
Preferably, the determining current fuel heating temperature includes: based on the history fuel density, the history fuel oil
Viscosity and current fuel data determine fitting weight；It is determined based on the fitting weight and the history fuel data and returns system
Number；Current fuel heating temperature is determined based on the regression coefficient and the current fuel data.
Preferably, the fitting weight is determined according to the following formula:
Wherein, 1≤i≤m, m are the sample number of the history fuel data, and W (i, i) is the fitting weight of i-th of sample,
Xi=(Xi2,Xi1, 1), Xi2For square of the history fuel density of i-th of sample, Xi1For the history of i-th of sample
Fuel-viscosity variation, X are the matrix of the current fuel data, and k is fitting parameter.
Preferably, the value range of the fitting parameter k is 0.03≤k≤0.07, so that is determined is described current
Fuel Heating temperature is more nearly the empirical value of the history fuel data.
Preferably, the fitting parameter k value is 0.05, so that the current fuel heating temperature determined is optimal
Close to the empirical value of the history fuel data.
Preferably, the regression coefficient is determined according to the following formula:
θ=(XTWX)-1XTWy,
Wherein, θ=(θ2,θ1,θ0), the θ is the matrix of the regression coefficient, and W is the matrix of the fitting weight, and X is
The matrix of the current fuel data, y are the matrix of the history fuel Heating temperature.
Preferably, current fuel heating temperature is determined according to the following formula:
Y=θTX,
Wherein, Y is the current fuel heating temperature, and X is the matrix of the current fuel data, and θ is recurrence system
Several matrixes.
Additional aspect and advantage of the invention will be set forth in part in the description, and will partially become from the following description
It obtains obviously, or by recognizing practice of the invention.
Detailed description of the invention
Fig. 1 is the flow diagram chosen according to the centrifugal oil separator fuel Heating temperature of the embodiment of the present invention；
Fig. 2 is the schematic network structure chosen according to the centrifugal oil separator fuel Heating temperature of the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
With reference to the accompanying drawing come describe the embodiment of the present invention centrifugal oil separator fuel Heating temperature choosing method.
Referring to Fig. 1, being the choosing method of centrifugal oil separator fuel Heating temperature provided in an embodiment of the present invention, including following step
It is rapid:
S1, obtains history fuel data, and the history fuel data includes history fuel density, history fuel-viscosity variation and goes through
History fuel Heating temperature, the history fuel Heating temperature are related to the history fuel density and the history fuel-viscosity variation
Connection.
The history fuel data of the embodiment of the present invention, including history fuel density, history fuel-viscosity variation and history fuel oil add
Hot temperature.The history fuel Heating temperature is associated with the history fuel density and the history fuel-viscosity variation.Namely
It says, the history fuel Heating temperature and the history fuel density and the history fuel-viscosity variation constitute a kind of mapping relations,
The specific history fuel density and the corresponding specific history fuel Heating temperature of the history fuel-viscosity variation.That is,
The history fuel density and the history fuel-viscosity variation are given, there must be the history fuel Heating temperature in contrast
It answers.
The history fuel density, the history fuel-viscosity variation and the history fuel Heating temperature constitute history fuel oil
History fuel data record in data sample, all history fuel data records constitute history fuel data sample
This.Sample size is bigger, shows that history fuel data is abundant, the current combustion determined according to the history fuel data sample
The science and accuracy of oily heating temperature are higher.
Referring to Fig. 2, the schematic network structure chosen for centrifugal oil separator fuel Heating temperature.The oil separator control system
Structure be mainly made of equipment such as microprocessor, network controller and Cloud Servers, the microprocessor be arm processor or
Other general processors of person, it is main to complete the monitoring of fuel oil all data and the automatic heating operation control function of fuel oil temperature, hard
(SuSE) Linux OS, drive software needed for transplanting network controller and sensor etc. are transplanted on part platform.The network-control
Device is connected by Internet with Cloud Server or third party's network server, and it is suitable mainly to make agreement to the history fuel data
Match.The Cloud Server or third party's network server are accessed by the microprocessor by network controller, are mainly stored
The history fuel data sample, and the dynamic of the history fuel data is supported to update and add.That is, by several
The history fuel data sample that the history fuel data is constituted is stored on Cloud Server or third party's network server,
Also, the history fuel data sample dynamically can be updated and be added, and for the current fuel data for calculating, predicting and be worked as
Preceding fuel Heating temperature can be sent to Cloud Server or third party's network server, to make the current fuel predicted
Data and current fuel heating temperature are as a history fuel data record addition newly to the history fuel data
In sample, the section of the current fuel heating temperature calculated automatically is made by way of making the history fuel data sample dilatation
The property learned and accuracy.
The microprocessor obtains the history fuel oil number for being originated from and storing on Cloud Server or third party's network server
It should include the history fuel density, the history fuel-viscosity variation according to, the history fuel data got and described go through
History fuel Heating temperature, the history fuel Heating temperature are related to the history fuel density and the history fuel-viscosity variation
Connection.
S2 measures current fuel data, and the current fuel data include current fuel density and current fuel viscosity.
Before centrifugal oil separator start-up operation, current fuel data, the current fuel data packet are measured by measuring device
Include current fuel density and current fuel viscosity.
Specifically, the current fuel data and/or the current fuel heating temperature of determination pass through man-machine interface quilt
Automatic monitoring in real time.That is, the microprocessor is real-time by man-machine interface, monitors the current fuel data automatically
And/or the current fuel heating temperature determined.
Specifically, the man-machine interface includes but is not limited to touch screen, display screen, operator control panel, display interface, monitoring circle
The interactive devices such as face, touch interface.The microprocessor can monitor the current fuel data in real time, and by the current combustion
Oily data are shown in the man-machine interface, the current fuel heating temperature for being computed prediction can also be shown in the people
Machine interface can also automatically control the centrifugal oil separator and be heated according to the current fuel heating temperature.
Specifically, the man-machine interface support outputs and inputs operation, and the input receives the instruction or movement of operator
Input, the output include the visual patterns such as figure, text.
S3 determines current fuel heating temperature based on the current fuel data and the history fuel data.
Current fuel heating temperature is determined based on the current fuel data and the history fuel data.
Specifically, the determining current fuel heating temperature include: S301, based on the history fuel density, described go through
History fuel-viscosity variation and current fuel data determine fitting weight；S302, the fitting weight and the history fuel data are based on
Determine regression coefficient；S303, current fuel heating temperature is determined based on the regression coefficient and the current fuel data.
S301, fitting weight is determined based on the history fuel density, the history fuel-viscosity variation and current fuel data.
Fitting weight is determined based on the history fuel density, the history fuel-viscosity variation and current fuel data.
Specifically, the fitting weight is determined according to the following formula:
Wherein, 1≤i≤m, m are the sample number of the history fuel data, and W (i, i) is the fitting weight of i-th of sample,
Xi=(Xi2,Xi1, 1), Xi2For square of the history fuel density of i-th of sample, Xi1For the history of i-th of sample
Fuel-viscosity variation, X are the matrix of the current fuel data, and k is fitting parameter.K value is smaller, then improves and current fuel parameter
The closer historical data sample of numerical value weight shared in seeking regression coefficient, makes the regression coefficient acquired be more suitable for history
Fuel data empirical value.K value is too small, then the noise point in data also can generate more interference to regression coefficient.
Specifically, the value range of the fitting parameter k is 0.03≤k≤0.07, so that is determined is described current
Fuel Heating temperature is more nearly the empirical value of the history fuel data, and effect is preferable.
Specifically, the fitting parameter k value is 0.05, so that the current fuel heating temperature determined is optimal
Close to the empirical value of the history fuel data, effect is best.
Test verify data is as follows, and wherein predicted temperature is the current combustion of prediction determination when taking different value of K
Oily heating temperature, empirical temperature are the history fuel Heating temperature in the history fuel data.One shares 3 groups of data,
1st group of predicted temperature is predicted temperature 1, and empirical temperature is empirical temperature 1, and so on.
| K=0.03 | K=0.04 | K=0.05 | K=0.06 | K=0.07 | |
| Predicted temperature 1 | 63.2 | 68.9 | 69.5 | 70.9 | 99.7 |
| Empirical temperature 1 | 65 | 70 | 70 | 70 | 65 |
| Predicted temperature 2 | 76.4 | 80.9 | 80.2 | 79.1 | 76.2 |
| Empirical temperature 3 | 75 | 80 | 80 | 80 | 75 |
| Predicted temperature 3 | 84.1 | 90.8 | 85.8 | 88.8 | 83.6 |
| Empirical temperature 3 | 85 | 90 | 85 | 90 | 85 |
S302, regression coefficient is determined based on the fitting weight and the history fuel data.
Regression coefficient is determined based on the fitting weight and the history fuel data.
Specifically, the regression coefficient is determined according to the following formula:
θ=(XTWX)-1XTWy,
Wherein, θ=(θ2,θ1,θ0), the θ is the matrix of the regression coefficient, and W is the matrix of the fitting weight, and X is
The matrix of the current fuel data, y are the matrix of the history fuel Heating temperature.
S303, current fuel heating temperature is determined based on the regression coefficient and the current fuel data.
Current fuel heating temperature is determined based on the regression coefficient and the current fuel data.
Specifically, current fuel heating temperature is determined according to the following formula:
Y=θTX,
Wherein, Y is the current fuel heating temperature, and X is the matrix of the current fuel data, and θ is recurrence system
Several matrixes.
Specifically, determine whether to update the history fuel oil based on the current fuel data and the history fuel data
Data.In order to promote the history fuel data being stored on the Cloud Server or the network third-party server more
New efficiency presets the rule for updating the history fuel data, if meeting rule, the history fuel oil number
According to will be updated；If being unsatisfactory for rule, do not update.
Specifically, when the current fuel data and the history fuel data difference, by the current fuel data
The sample record new as one is appended in the history fuel data with the current fuel heating temperature；When described current
When fuel data is identical as the history fuel data, the history fuel data is not updated.
It should be appreciated that showing the current fuel when the current fuel data and the history fuel data difference
Corresponding be recorded in the history fuel data sample of data is not present, in order to enable sample size expands as far as possible to really
The science and accuracy of prediction are protected, the current fuel data and the current fuel heating temperature are sent to the cloud clothes
Device or third party's network server, the current fuel data and the current fuel heating temperature of being engaged in are new as one
Sample record is appended in the history fuel data, constitutes the updated history fuel data sample.
When the current fuel data are identical as the history fuel data, show the corresponding record of current fuel data
It is had existed in the history fuel data sample.Assuming that the rule of the history fuel data is with the Cloud Server or institute
Subject to the data for stating the sample in third party's network server, then just not updating the history fuel data.Or it is false
If the rule of the history fuel data is subject to the current fuel data predicted, then current fuel data and described working as
Preceding fuel Heating temperature is sent to the Cloud Server or third party's network server, the current fuel data and institute
It states the current fuel heating temperature sample record new as one to be appended in the history fuel data, constitute updated
The history fuel data sample.
The technical solution of the present embodiment, by obtaining history fuel data, the history fuel data includes history fuel oil
Density, history fuel-viscosity variation and history fuel Heating temperature, the history fuel Heating temperature and the history fuel density and
The history fuel-viscosity variation is associated；Current fuel data are measured, the current fuel data include current fuel density and work as
Preceding fuel-viscosity variation；Based on the method that the current fuel data and the history fuel data determine current fuel heating temperature,
Not only can be strong to avoid subjectivity caused by the experience when setting of centrifugal oil separator fuel Heating temperature simply by virtue of operator, arbitrarily
Property big, the defects of consistency is poor, to significantly improve the oily effect of centrifugal oil separator point；And pass through dynamic more new historical fuel oil number
According to history fuel oil sample size is expanded constantly, so that it is guaranteed that the science of the current fuel heating temperature calculated automatically
And accuracy.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of the various embodiments described above can pass through journey
Sequence instructs relevant hardware to complete.Program above-mentioned can be stored in a computer readable storage medium.The program exists
When execution, execution includes the steps that above-mentioned each method embodiment；And storage medium above-mentioned includes: ROM, RAM, magnetic disk or light
The various media that can store program code such as disk.
Finally, it should be noted that the above various embodiments is only used to illustrate the technical scheme of the present invention, rather than it is limited
System；Preferred embodiment in embodiment, is not intended to limit it, to those skilled in the art, the present invention can be with
There are various modifications and changes.All any modification, equivalent replacement, improvement and so within the spirit and principles of the present invention,
It should be included within protection scope of the present invention.
Claims (10)
1. a kind of choosing method of centrifugal oil separator fuel Heating temperature, which is characterized in that the described method includes:
History fuel data is obtained, the history fuel data includes history fuel density, history fuel-viscosity variation and history fuel oil
Heating temperature, the history fuel Heating temperature are associated with the history fuel density and the history fuel-viscosity variation；
Current fuel data are measured, the current fuel data include current fuel density and current fuel viscosity；
Current fuel heating temperature is determined based on the current fuel data and the history fuel data.
2. the method as described in claim 1, which is characterized in that be based on the current fuel data and the history fuel data
Determine whether to update the history fuel data.
3. method according to claim 2, which is characterized in that described to determine whether to update the history fuel data, comprising:
When the current fuel data and the history fuel data difference, by the current fuel data and the current combustion
The oily heating temperature sample record new as one is appended in the history fuel data；
When the current fuel data are identical as the history fuel data, the history fuel data is not updated.
4. the method as described in claim 1, which is characterized in that the history fuel data accesses cloud by network controller
Server or third party's network server obtain, and the network controller makees protocol adaptation to the history fuel data.
5. the method as described in claim 1, which is characterized in that the determining current fuel heating temperature includes:
Fitting weight is determined based on the history fuel density, the history fuel-viscosity variation and current fuel data；
Regression coefficient is determined based on the fitting weight and the history fuel data；
Current fuel heating temperature is determined based on the regression coefficient and the current fuel data.
6. method as claimed in claim 5, which is characterized in that determine the fitting weight according to the following formula:
Wherein, 1≤i≤m, m are the sample number of the history fuel data, and W (i, i) is the fitting weight of i-th of sample, Xi=
(Xi2,Xi1, 1), Xi2For square of the history fuel density of i-th of sample, Xi1For the history fuel oil of i-th of sample
Viscosity, X are the matrix of the current fuel data, and k is fitting parameter.
7. method as claimed in claim 6, which is characterized in that the value range of the fitting parameter k be 0.03≤k≤
0.07, so that the current fuel heating temperature determined is more nearly the empirical value of the history fuel data.
8. the method for claim 7, which is characterized in that the fitting parameter k value is 0.05, so that determine
The optimal empirical value close to the history fuel data of the current fuel heating temperature.
9. method as claimed in claim 5, which is characterized in that determine the regression coefficient according to the following formula:
θ=(XTWX)-1XTWy,
Wherein, θ=(θ2,θ1,θ0), the θ is the matrix of the regression coefficient, and W is the matrix of the fitting weight, and X is described
The matrix of current fuel data, y are the matrix of the history fuel Heating temperature.
10. method as claimed in claim 5, which is characterized in that determine current fuel heating temperature according to the following formula:
Y=θTX,
Wherein, Y is the current fuel heating temperature, and X is the matrix of the current fuel data, and θ is the regression coefficient
Matrix.
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| US6068758A (en) * | 1996-08-16 | 2000-05-30 | Strausz; Otto P. | Process for hydrocracking heavy oil |
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