CN102662373A - Intelligent control system of annular mould granulator based on expert system - Google Patents
Intelligent control system of annular mould granulator based on expert system Download PDFInfo
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- CN102662373A CN102662373A CN2012101433580A CN201210143358A CN102662373A CN 102662373 A CN102662373 A CN 102662373A CN 2012101433580 A CN2012101433580 A CN 2012101433580A CN 201210143358 A CN201210143358 A CN 201210143358A CN 102662373 A CN102662373 A CN 102662373A
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Abstract
The invention discloses an intelligent control system of an annular mould granulator based on an expert system, comprising the annular mould granulator, a temperature sensor arranged at an outlet of a conditioner, a current sensor and an expert control system, wherein the current sensor and the expert control system are arranged on a main machine of the granulator; the expert control system is an intelligent control system formed by a computer and the work principle is that: a main motor current signal of the annular mould granulator and an outlet temperature signal of the conditioner are collected; and information treatment, an inference engine and a corresponding control rule are identified according to the characteristics of the expert control system to obtain corresponding control signals so as to control steam amount and feeding amount of the annular mould granulator. The intelligent control system disclosed by the invention has the advantages that: the intelligent control system is not influenced by materials at an inlet of the conditioner; meanwhile, the reasonable steam amount adjustment and feed amount adjustment can be carried out; and the quality of granulation is guaranteed and a motor of the granulator is at a full-power operation state, so that the best production benefit of the granulator is realized, the energy is saved and the blocking phenomenon of the granulator is effectively avoided.
Description
Technical field
The invention belongs to the automatic control technology field, be specifically related to a kind of ring die pelleter intelligence control system based on expert system.
Background technology
Ring die pelleter is a Feed Manufacturing machinery commonly used at present, and more than the common 100KW of installed capacity, therefore, in the Feed Manufacturing process, guarantee how to enhance productivity under the prerequisite of granulate quality (reduce and consume) is the problem that must consider.Present domestic ring die pelleter adopts manual control mostly, is difficult to solve simultaneously this two problems.In addition, ring die pelleter working site environment is poor, labor intensity of operating personnel is big, also is to impel to adopt the reason of control automatically.But ring die pelleter belongs to complicated production, promptly contains processes such as non-linear, time variation, multivariate coupling, large time delay, even some ring die pelleters have been equipped with automatic control system, also is difficult to normally put into operation.
Summary of the invention
Goal of the invention: the objective of the invention is in order to solve the deficiency of prior art, a kind of ring die pelleter intelligence control system based on expert system that improves productivity effect is provided.
Technical scheme: a kind of ring die pelleter intelligence control system of the present invention based on expert system; Comprise ring die pelleter, be located at ring die pelleter quality-adjusting device outlet temperature sensor, be located at current sensor and expert control system on the ring die pelleter master motor; Said expert control system is connected with ring die pelleter, and the input end of said expert control system is connected with said current sensor with said temperature sensor respectively.
The intelligence control system that said expert control system is made up of computing machine; Said expert control system control procedure is: with the main motor current signal and the quality-adjusting device outlet temperature signal of the ring die pelleter that collects; Pass through feature identification information processing, inference machine and control law storehouse successively; Said inference machine and control law storehouse are based on knowledge base and set up, and export control signal at last and give ring die pelleter.
Said knowledge base comprises image parameter knowledge base, material knowledge base, granular mass knowledge base, start-up course knowledge base, operational process knowledge base, warning knowledge base, control law knowledge base, feature identification knowledge base, information processing knowledge base, inference machine knowledge base and operating experience knowledge base.
Said image parameter knowledge base comprises feeding machine parameter, quality-adjusting device parameter and the ring die pelleter parameter of electric machine.
Said granular mass knowledge base comprises that steam adds parameter and material protein content parameter.
As optimization, in order to improve measuring accuracy, said temperature sensor surface also is connected with regularly cleaning plant of sensor.
As optimization, in order to improve the rapidity of measurement, what said current sensor adopted is the high speed current metering sensor.
Beneficial effect: the invention has the advantages that the influence that does not receive quality-adjusting device inlet material; Can carry out simultaneously rational quantity of steam adjusting and forage volume regulates; When guaranteeing the quality of granulating, make the granulator motor be in the full power running status again; Realize the best productivity effect of granulator, not only energy savings but also can effectively avoid granulator to block up the machine phenomenon.
Description of drawings
Fig. 1 is a structured flowchart synoptic diagram of the present invention.
Fig. 2 is a knowledge base structure synoptic diagram of the present invention.
Fig. 3 is start-up course rate of feeding control synoptic diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing the present invention is described further:
A kind of ring die pelleter intelligence control system as shown in Figure 1 based on expert system; Comprise ring die pelleter; Be located at the temperature sensor of ring die pelleter quality-adjusting device outlet; Be located at current sensor and expert control system on the ring die pelleter master motor, expert control system is connected with ring die pelleter, and the input end of expert control system is connected with current sensor with temperature sensor respectively.
The intelligence control system that expert control system is made up of computing machine; The expert control system control procedure is: with the main motor current signal and the quality-adjusting device outlet temperature signal of the ring die pelleter that collects; Pass through feature identification information processing, inference machine and control law storehouse successively; Wherein inference machine and control law storehouse are based on knowledge base and set up, and export control signal at last and give ring die pelleter, thereby adjust corresponding rate of feeding and quantity of steam.
As shown in Figure 2, knowledge base comprises image parameter knowledge base, material knowledge base, granular mass knowledge base, start-up course knowledge base, operational process knowledge base, warning knowledge base, control law knowledge base, feature identification knowledge base, information processing knowledge base, inference machine knowledge base and operating experience knowledge base; Wherein the image parameter knowledge base comprises feeding machine parameter (the speed recruitment [%] of feeding increment [%], feeder), quality-adjusting device parameter (modified time [S]) and the ring die pelleter parameter of electric machine (current rating [A], no-load current value [A], start-up time [S]), and the granular mass knowledge base comprises that steam adds parameter (the conventional increment [%] of steam, steam control cycle [S]) and material protein content parameter.
Single factors such as the quality of particle and refining temperature, tempering water, rate of feeding, material protein content are closely related.Therefore; When changing rate of feeding; According to data such as material protein contents in the knowledge base, find corresponding moisture value and quantity of steam, correspondingly control the interpolation value of moisture and quantity of steam according to the mode of ratio control; Thereby the outlet temperature that realizes quality-adjusting device does not produce big deviation when rate of feeding changes, to protect the quality of positive particle.
Ring die pelleter control procedure of the present invention comprises start-up course control and normal course of operation control.Granulator electric motor starting at first, when finished start-up time, the granulator current of electric must drop to below the no-load current, and motor speed reaches required value; After time-delay a period of time, quality-adjusting device starts, and this moment is if feed bin has material, and road, back transport tape runs well, and then can connect feeder, and the start-up course key of whole ring die pelletizing system is the control to rate of feeding, can carry out according to the mode of Fig. 3:
First section (t0.0-t0.3): the rotating speed of feeder rises to n0.3 with the slope in time t0 .3, and the steam control loop is started working; In case feeder reaches minimum speed (5%), the steam adding set is connected, and liquid control begins to connect after time-delay a period of time.At this moment, through the ratio control mode, be master variable with the feeding capacity, the addition of corresponding adjustment steam, moisture is monitored the outlet temperature of quality-adjusting device simultaneously;
Second section (beginning): after feeder reaches desired speed value n0.3, then change over to the mode of increment and progressively approach rated speed from t0.3; In each controls clock (definite based on the modified time), rate of feeding changes an increment, and monitoring is simultaneously granulated, and electromechanics flows and the outlet temperature of quality-adjusting device, reaches setting value until the feeder rotating speed, and granulator also is in full load condition.
Normal course of operation control: at first will guarantee the quality of particle, and on this basis, make the granulation motor be in the state of operating at full capacity.
Can find out; After adopting expert control system; Can carry out rational quantity of steam adjusting and forage volume regulates; When guaranteeing the needed reasonable temperature of granulation, let granulator master motor in the full load scope, work (seeking best relatively working point), so that granulator keeps higher work efficiency as far as possible.In working control, install the position of quality-adjusting device outlet temperature survey sensor (Pt100), with the rapidity of the current metering sensor of granulator master motor, bigger to the control influential effect.In order to prevent that temperature sensor from being wrapped by material, and can not accurately measure temperature, can regularly cleaning mechanism be installed at sensor surface, effect is apparent in view, and the current measurement of granulator master motor can be adopted the high speed current metering sensor.
Through adopting expert control system to carry out the control loop die pelleter, have the dirigibility of the dexterity and the control strategy of online treatment, and realize effective control complex process through real-time reasoning and decision-making; Outlet temperature with quality-adjusting device is a controlled variable; Realize temperature control through control steam amount of filling; Realization is to the control of the quality of granulation, and the electric current with the granulator main frame is a controlled variable simultaneously, makes the granulator motor be in the full power running status through regulating feeding capacity; Thereby realize the best productivity effect of granulation, effectively avoid granulator to block up the machine phenomenon again.
Claims (7)
1. ring die pelleter intelligence control system based on expert system; Comprise ring die pelleter; It is characterized in that: also comprise the temperature sensor that is located at the outlet of ring die pelleter quality-adjusting device; The expert control system that is located at the current sensor on the ring die pelleter master motor and is connected with said ring die pelleter, the input end of said expert control system are connected with said current sensor with said temperature sensor respectively.
2. a kind of ring die pelleter intelligence control system according to claim 1 based on expert system; It is characterized in that: the intelligence control system that said expert control system is made up of computing machine; The control procedure of said expert control system is: with the main motor current signal and the quality-adjusting device outlet temperature signal of the ring die pelleter that collects; Pass through feature identification information processing, inference machine and control law storehouse successively; Said inference machine and control law storehouse are based on knowledge base and set up, and export control signal at last and give ring die pelleter.
3. a kind of ring die pelleter intelligence control system based on expert system according to claim 1 is characterized in that: said temperature sensor surface also is connected with regularly cleaning plant of sensor.
4. a kind of ring die pelleter intelligence control system based on expert system according to claim 1 is characterized in that: what said current sensor adopted is the high speed current metering sensor.
5. a kind of ring die pelleter intelligence control system based on expert system according to claim 2, it is characterized in that: said knowledge base comprises image parameter knowledge base, material knowledge base, granular mass knowledge base, start-up course knowledge base, operational process knowledge base, warning knowledge base, control law knowledge base, feature identification knowledge base, information processing knowledge base, inference machine knowledge base and operating experience knowledge base.
6. a kind of ring die pelleter intelligence control system based on expert system according to claim 5, it is characterized in that: said image parameter knowledge base comprises feeding machine parameter, quality-adjusting device parameter and the ring die pelleter parameter of electric machine.
7. a kind of ring die pelleter intelligence control system based on expert system according to claim 5 is characterized in that: said granular mass knowledge base comprises that steam adds parameter and material protein content parameter.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104000297A (en) * | 2014-06-19 | 2014-08-27 | 武汉新科谷技术发展有限公司 | Pelletizing control system |
| CN112742301A (en) * | 2021-01-07 | 2021-05-04 | 浙江迦南科技股份有限公司 | Dry method granulator control system |
| CN112844194A (en) * | 2021-01-22 | 2021-05-28 | 高升平 | Preparation method of livestock feed |
| CN116393037A (en) * | 2023-02-09 | 2023-07-07 | 东北大学秦皇岛分校 | Medicine quality control method, system, electronic equipment and medium |
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| JP2004206570A (en) * | 2002-12-26 | 2004-07-22 | Toppan Forms Co Ltd | Production control system |
| CN101109950A (en) * | 2007-07-23 | 2008-01-23 | 鞍钢股份有限公司 | Blast furnace production process control information intelligence system |
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| JP2004206570A (en) * | 2002-12-26 | 2004-07-22 | Toppan Forms Co Ltd | Production control system |
| CN101109950A (en) * | 2007-07-23 | 2008-01-23 | 鞍钢股份有限公司 | Blast furnace production process control information intelligence system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104000297A (en) * | 2014-06-19 | 2014-08-27 | 武汉新科谷技术发展有限公司 | Pelletizing control system |
| CN112742301A (en) * | 2021-01-07 | 2021-05-04 | 浙江迦南科技股份有限公司 | Dry method granulator control system |
| CN112844194A (en) * | 2021-01-22 | 2021-05-28 | 高升平 | Preparation method of livestock feed |
| CN112844194B (en) * | 2021-01-22 | 2022-09-09 | 济宁瑞丰饲料有限公司 | Preparation method of livestock feed |
| CN116393037A (en) * | 2023-02-09 | 2023-07-07 | 东北大学秦皇岛分校 | Medicine quality control method, system, electronic equipment and medium |
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| CN102662373B (en) | 2014-10-08 |
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Application publication date: 20120912 Assignee: Wuhan Vital Pharmaceutical Co., Ltd. Assignor: Nantong University Contract record no.: 2015420000144 Denomination of invention: Intelligent control system of annular mould granulator based on expert system Granted publication date: 20141008 License type: Exclusive License Record date: 20150723 |
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Effective date of registration: 20210628 Address after: 226019 No.205, building 6, Nantong University, No.9, Siyuan Road, Nantong City, Jiangsu Province Patentee after: Center for technology transfer, Nantong University Address before: 226019 Jiangsu Province, Nantong City Chongchuan District sik Road No. 9 Patentee before: NANTONG University |
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