CN208420868U - The hard measurement system of alkali recovery furnace oxygen content of smoke gas based on least square method supporting vector machine - Google Patents
The hard measurement system of alkali recovery furnace oxygen content of smoke gas based on least square method supporting vector machine Download PDFInfo
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- CN208420868U CN208420868U CN201821259510.0U CN201821259510U CN208420868U CN 208420868 U CN208420868 U CN 208420868U CN 201821259510 U CN201821259510 U CN 201821259510U CN 208420868 U CN208420868 U CN 208420868U
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- oxygen content
- alkali recovery
- recovery furnace
- smoke gas
- square method
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Abstract
The hard measurement system of alkali recovery furnace oxygen content of smoke gas based on least square method supporting vector machine, it is characterized in that, including each sensor being arranged on alkali recovery furnace, the information that sensor will test passes to slave computer, executing agency is also connected on the slave computer, slave computer is connected with host computer, and host computer is by carrying out signal transmitting with soft-sensing model；Sensor is for being collected each data on alkali recovery furnace；Host computer is used for Data Management Analysis, and the result of analysis is passed to soft-sensing model；Soft-sensing model, for predicting the data that host computer is analyzed.The utility model obtains oxygen content value by the oxygen content of smoke gas soft-sensing model based on least square method supporting vector machine, can preferably solve the problems, such as that oxygen content of smoke gas is difficult to precise measurement, improve the efficiency of combustion of alkali recovery furnace.
Description
Technical field
The utility model relates to a kind of oxygen content of smoke gas detection technique fields, in particular to are based on least square supporting vector
The hard measurement system of the alkali recovery furnace oxygen content of smoke gas of machine.
Background technique
In black liquid alkali recovery process, oxygen content of smoke gas can reflect alkali recovery furnace efficiency of combustion and heat utilization efficiency.
Oxygen content of smoke gas by real-time high-precision is measured, the combustion case of alkali recovery furnace is can reflect, it is timely to facilitate operator
The ratio for regulating and controlling air quantity and black liquor, makes system high efficiency energy-saving run.If oxygen content value is excessively high, indicate to enter in burner hearth excessive
Air, extra gas discharge will take away amount of heat, so that the alkali recovery furnace thermal efficiency reduces, also result in more sulphur
The polluted gas such as compound are discharged into air, pollute environment.And if oxygen content value is too low, burner hearth is in oxygen debt state, black liquor
It can not be sufficiently burned, combustion thermal efficiency reduces, and causes to aggravate in flue gas containing gases such as carbon monoxide, hydrogen, hydrogen sulfide
Environmental pollution.Therefore it needs strictly to monitor oxygen content of smoke gas, keeps suitable oxygen content value.
Alkali recovery system is mainly by zirconia sensor and Thermomagnetic type sensor measurement oxygen content of smoke gas at present, this
A little devices can directly measure oxygen content of smoke gas, and measurement accuracy is higher, and reaction speed is fast, but with the variation of time, zirconium oxide
Probe can be blocked by flue dust, is easy to aging, so that oxygen amount meter is difficult to obtain higher stability and accuracy, and repair multiple
Miscellaneous, somewhat expensive needs periodic check.In addition, the zirconium head of zirconia sensor is mounted on the node of smoke canal elbow, it is unstable
The change in flow of flue gas will affect the measurement work of zirconium head, and by the metal pipe abrasion of zirconium head, its service life be caused to greatly shorten.
Summary of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the purpose of this utility model is to provide based on least square support to
The hard measurement system of the alkali recovery furnace oxygen content of smoke gas of amount machine, it is soft by the oxygen content of smoke gas based on least square method supporting vector machine
Measurement model obtains oxygen content value, can preferably solve the problems, such as that oxygen content of smoke gas is difficult to precise measurement, improve alkali recovery furnace
Efficiency of combustion.
To achieve the goals above, the technical solution adopted in the utility model is:
The hard measurement system of alkali recovery furnace oxygen content of smoke gas based on least square method supporting vector machine, including setting are returned in alkali
The in-situ transducer on furnace is received, the information that in-situ transducer will test passes to slave computer, is also connected on the slave computer
There is executing agency, slave computer is connected with host computer, and host computer is by carrying out signal transmitting with soft-sensing model；
In-situ transducer, for being collected to each data on alkali recovery furnace；
Host computer is used for Data Management Analysis, the result of analysis is passed to soft-sensing model；
Soft-sensing model, for predicting the data that host computer is analyzed.
The in-situ transducer is temperature sensor, pressure sensor, electromagnetic flowmeter and wind needed for measuring signal
Quantity sensor.
The soft-sensing model is LSSVM.
The executing agency is black liquor flow control valve and volume damper, and effect is by the calculated wind of slave computer
Amount and black liquor ratio, to optimize the efficiency of combustion of alkali recovery furnace.
The slave computer is programming software STEP 7, and effect is obtained by the collection and program processing to on-site signal
The output arrived improves the efficiency of combustion of alkali recovery furnace.
The host computer is picture configuration software WINCC, and effect is to monitor the operating condition of alkali recovery furnace system in real time.
The utility model has the beneficial effects that
The utility model can be in the case where directly not using zirconium oxide oxygen amount sensor, by fire box temperature, furnace
Thorax negative pressure, black liquor flow, air-supply electric current, six auxiliary variables of air inducing electric current and total blast volume actual measured value, with based on most
The small two oxygen content of smoke gas soft-sensing models for multiplying support vector machines obtain oxygen content predicted value, are to solve zirconia sensor easily to grind
Damage and the efficiency of combustion effective measures for improving alkali recovery furnace.
Detailed description of the invention
Fig. 1 is Tthe utility model system structural schematic diagram.
Fig. 2 is oxygen content of smoke gas hard measurement schematic diagram.
Fig. 3 is oxygen content of smoke gas hard measurement value and measured value absolute error figure.
Fig. 4 is the utility model oxygen content of smoke gas soft-sensing model Establishing process figure.
Specific embodiment
The utility model is described in further detail with reference to the accompanying drawing.
As shown in Figure 1, a kind of hard measurement system of the alkali recovery furnace oxygen content of smoke gas based on least square method supporting vector machine,
Zirconium oxide oxygen amount sensor is replaced with the flexible measurement method of particle group optimizing least square method supporting vector machine, is realized to flue gas oxygen
The accurate measurement of content, the sensors such as required temperature sensor, pressure sensor are connected with slave computer, executing agency also with
Slave computer is connected, and slave computer is connected with host computer, and soft-sensing model realizes the communication with host computer by communication modes.
As shown in Fig. 2, the hard measurement system of the alkali recovery furnace oxygen content of smoke gas based on least square method supporting vector machine, step
It is as follows:
1) temperature sensor, pressure sensor, electromagnetic flowmeter and air flow sensor are connected on alkali recovery furnace；
2) temperature sensor, pressure sensor, electromagnetic flowmeter and air flow sensor are connected with slave computer；
3) by the data of temperature sensor, pressure sensor, electromagnetic flowmeter and air flow sensor collect slave computer and
Host computer carries out Data Management Analysis in host computer, by LSSVM soft-sensing model, predicts oxygen content of smoke gas value；
Data Management Analysis step is shown in attached drawing 4, as described below:
A. particle group parameters are initialized: population scale d, maximum number of iterations Gmax, Studying factors c1,c2, nuclear parameter σ and just
The then value range of parameter γ；
B. d particle is randomly generated in determined range, each particle initial position is (σ0,γ0)；
C. LSSVM model is established using the position and training data of each particle, and solves each particle using test data
Fitness value xid, it is ranked up, sets p for each particle history adaptive optimal control angle valuebest, by the smallest particle of fitness value
Position is set as the history adaptive optimal control degree position g of populationbest；
D. the fitness value of solution and more each particle, if the current fitness value of each particle is less than its history adaptive optimal control
Angle value, i.e. xid< pbest, then current pbestIt is set as xid.If similarly current particle adaptive optimal control angle value is less than global optimum's fitness
Value, i.e. xid< gbest, then g is enabledbestEqual to xid；
E. Stochastic inertia weight, the speed of more new particle and position are generated, particle of new generation is generated；
F. judge whether to meet and reach maximum number of iterations or precision of prediction, if satisfied, then LSSVM parameter optimization suspends；
Conversely, return step 4 continues searching LSSVM parameter；
G. the optimal hyper parameter found is input in LSSVM algorithm, oxygen content of smoke gas training sample is learnt, is built
Vertical soft-sensing model carries out oxygen content of smoke gas prediction to test data.
4) the oxygen content of smoke gas value gone out according to hard measurement system prediction, total blast volume in furnace should be passed through in real time by calculating
Value, always works at alkali recovery furnace in high efficiency range.
Attached drawing 3 is oxygen content of smoke gas hard measurement value and measured value absolute error, absolute error wave between 0.01-0.025
Dynamic, the oxygen amount value for illustrating that built oxygen content of smoke gas soft-sensing model obtains can be used as reference, help to correct existing oxygen in time
Meter improves boiler combustion efficiency.
Claims (6)
1. the hard measurement system of the alkali recovery furnace oxygen content of smoke gas based on least square method supporting vector machine, which is characterized in that including
In-situ transducer on alkali recovery furnace is set, and the information that in-situ transducer will test passes to slave computer, the bottom
Executing agency is also connected on machine, slave computer is connected with host computer, and host computer is by carrying out signal transmitting with soft-sensing model；
In-situ transducer, for being collected to each data on alkali recovery furnace；
Host computer is used for Data Management Analysis, the result of analysis is passed to soft-sensing model；
Soft-sensing model, for predicting the data that host computer is analyzed.
2. the hard measurement system of the alkali recovery furnace oxygen content of smoke gas according to claim 1 based on least square method supporting vector machine
System, which is characterized in that the in-situ transducer is temperature sensor, pressure sensor, Electromagnetic Flow needed for measuring signal
Meter and air flow sensor.
3. the hard measurement system of the alkali recovery furnace oxygen content of smoke gas according to claim 1 based on least square method supporting vector machine
System, which is characterized in that the soft-sensing model is LSSVM.
4. the hard measurement system of the alkali recovery furnace oxygen content of smoke gas according to claim 1 based on least square method supporting vector machine
System, which is characterized in that the executing agency is black liquor flow control valve and volume damper.
5. the hard measurement system of the alkali recovery furnace oxygen content of smoke gas according to claim 1 based on least square method supporting vector machine
System, which is characterized in that the slave computer is programming software STEP 7.
6. the hard measurement system of the alkali recovery furnace oxygen content of smoke gas according to claim 1 based on least square method supporting vector machine
System, which is characterized in that the host computer is picture configuration software WINCC.
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| CN201821259510.0U CN208420868U (en) | 2018-08-06 | 2018-08-06 | The hard measurement system of alkali recovery furnace oxygen content of smoke gas based on least square method supporting vector machine |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111735911A (en) * | 2020-06-16 | 2020-10-02 | 中国石油天然气第一建设有限公司 | Method for monitoring trace hydrogen sulfide gas in oil and gas device |
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2018
- 2018-08-06 CN CN201821259510.0U patent/CN208420868U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111735911A (en) * | 2020-06-16 | 2020-10-02 | 中国石油天然气第一建设有限公司 | Method for monitoring trace hydrogen sulfide gas in oil and gas device |
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