CN114277602B - Pressure control optimization method, device and medium for pulp processing press part - Google Patents
Pressure control optimization method, device and medium for pulp processing press part Download PDFInfo
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- CN114277602B CN114277602B CN202111532199.9A CN202111532199A CN114277602B CN 114277602 B CN114277602 B CN 114277602B CN 202111532199 A CN202111532199 A CN 202111532199A CN 114277602 B CN114277602 B CN 114277602B
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Abstract
The invention is suitable for the technical field of optimization of parameters of papermaking equipment, and provides a pressure control optimization method, a pressure control optimization device and a pressure control optimization medium for a pulp processing press part, wherein the optimization method comprises the following steps: synchronously collecting paper quality data based on the pressing form and the requirement; checking the integrity and synchronism of the paper quality data, and packaging and uploading qualified quality data passing the checking to a database; checking the correctness and the variability of the qualified quality data, and storing the qualified quality data passing the check in a database; determining an optimal pressing line pressure parameter based on a matching data model, and transmitting the optimal pressing line pressure parameter to an upper computer; the upper computer sends the adjusted optimal pressing line pressure parameter to the DCS controller, and the DCS controller dynamically adjusts the action of the pressing part. According to the invention, intelligent closed-loop control is performed according to the data model, so that the interference of artificial factors is avoided, the pressure parameter is dynamically adjusted in time, the running efficiency of the paper machine can be remarkably improved, the energy efficiency ratio is improved, and the production cost is reduced.
Description
Technical Field
The invention belongs to the technical field of optimization of parameters of papermaking equipment, and particularly relates to a method, a device and a medium for optimizing pressure control of a pulp processing press part.
Background
By means of mechanical pressing, most of the water of the pulp can be removed in the press section, and therefore how reasonably fast the press section related parameters can be adjusted will directly determine the running cost and speed of the paper machine.
Firstly, the moisture content of the paper web of the press part is detected, then the press indentation is judged through experience, and related parameters are manually adjusted to improve the working condition of the press part and the quality of the paper sheet so as to improve the operation efficiency of the equipment. The press line pressure is one of the important parameters of the press part of the paper machine, and directly affects the dewatering performance of the press part, and because the pulp dewatering treatment needs synchronous coordination of the net part, the press part and the drying part, the press line pressure is manually controlled by production operators according to experience, and the paper machine reaches a proper production state through continuous manual adjustment and manual detection. The process has longer period, higher requirement on experience of operators, uncontrollable interference of human factors, and incapability of judging the optimal running condition and energy efficiency relation of the paper machine, so that the automatic control level of the paper mill is low in the current state because the paper mill is realized by directly and manually adjusting the press carrier rollers through experience of a producer.
Disclosure of Invention
The embodiment of the invention aims to provide a method, a device and a medium for optimizing pressure control of a pulp processing press part, and aims to solve the problems that the dewatering of the press part is realized by directly and manually adjusting a press carrier roller through experience of a producer at present and the automation control level is low.
In order to achieve the above problems, the present invention provides the following technical solutions.
In a first aspect, the invention provides in one embodiment a method of optimizing pulp processing press section pressure control, the method comprising:
synchronously collecting paper quality data based on the pressing form and the requirement;
checking the integrity and synchronism of the paper quality data, and packaging and uploading qualified quality data passing the checking to a database;
checking the correctness and the variability of the qualified quality data, and storing the qualified quality data passing the check in a database;
determining an optimal pressing line pressure parameter based on a matching data model, and transmitting the optimal pressing line pressure parameter to an upper computer;
the upper computer sends the adjusted optimal pressing line pressure parameter to the DCS controller, and the DCS controller dynamically adjusts the action of the pressing part.
In some embodiments of the present invention, the step of synchronously collecting paper quality data includes: the high-speed camera collects image data of the press part, and indentation depth data is obtained through an indentation recognition algorithm.
In some embodiments of the present invention, the step of deriving the indentation depth data by an indentation recognition algorithm comprises:
collecting an indentation image by a high-speed camera, extracting a gray level image of the indentation image, and performing image filtering treatment to obtain an intermediate image;
and (3) extracting and suppressing edges of the intermediate image by adopting a cluster positioning algorithm, fitting edge contours, and outputting indentation depth data of the indentation contour image.
In some embodiments provided herein, the step of verifying the integrity and synchronicity of the paper quality data comprises:
verifying the integrity of the paper quality data according to the classification of the press data in the press form and the demand;
and checking the synchronism of the data by checking whether the acquisition time is consistent.
In some embodiments of the present invention, the step of verifying the correctness and variability of the qualified quality data includes:
packaging the attached CRC check code along with the qualified quality data into frames and uploading the frames to a database;
checking the correctness of the data received by the database by a CRC (cyclic redundancy check) method;
the variability of the data received by the database is checked by comparing whether there is variability with the existing data of the database.
In some embodiments of the present invention, the step of determining the optimal press line pressure parameters based on the matched data model comprises: and adopting a least square fitting method to update a data model among the paper forming quality, the pressing line pressure and the paper machine speed under the same pressing form and the same requirement, and solving the optimal pressing line pressure parameter according to the data model while meeting the paper forming quality and the paper machine speed.
In some embodiments provided by the present invention, the DCS controller dynamically adjusts press section actions specifically including:
the DCS controller dynamically adjusts the pressing part to perform decompression; or (b)
The DCS controller dynamically adjusts the press part to perform pressurizing operation.
In a second aspect, in another embodiment provided by the present invention, a pulp processing press section pressure control optimizing apparatus, the optimizing apparatus comprising:
the paper quality data acquisition part module is used for synchronously acquiring paper quality data based on a pressing form and requirements;
the upper computer module is used for checking the integrity and the synchronism of the paper quality data and packing and uploading the qualified quality data passing the checking to the database; the upper computer sends the adjusted optimal pressing line pressure parameter to the DCS controller;
the DCS controller is used for dynamically adjusting the action of the pressing part;
the database module is used for checking the correctness and the variability of the qualified quality data and storing the qualified quality data passing the check in the database; and determining an optimal press line pressure parameter based on the matched data model, and transmitting the optimal press line pressure parameter to an upper computer.
In some embodiments provided by the present invention, the paper quality data acquisition module includes:
a high speed camera for acquiring in and out press section image data;
and the indentation recognition module is used for obtaining indentation depth data through an indentation recognition algorithm.
In a third aspect, in a further embodiment the invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the pulp processing press section pressure control optimization method as provided in the first aspect.
Compared with the prior art, the invention has the beneficial effects that:
the invention optimizes the line pressure of the press part, has simple operation, a producer only needs to monitor the machine through the upper computer, the database combines the acquired data, the intelligent closed-loop control is carried out according to the data model, the interference of human factors is avoided, the pressure parameters can be dynamically adjusted in time, the data model is more accurate along with the increase of the acquired data of the database, the energy efficiency analysis is carried out, the running efficiency of the paper machine is obviously improved, the energy efficiency ratio is improved, and the production cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
FIG. 1 is a flow chart illustrating an implementation of a method for optimizing pressure control in a pulp processing press section according to an embodiment of the present invention;
FIG. 2 is a sub-flowchart of a method for optimizing pressure control in a pulp processing press section according to an embodiment of the present invention;
FIG. 3 is a logic flow diagram of a method for optimizing pressure control in a pulp processing press section according to an embodiment of the present invention;
FIG. 4 is a schematic block diagram of a pulp processing press section pressure control optimization system provided in accordance with an embodiment of the present invention;
FIG. 5 is an ER diagram of a database module provided by an embodiment of the present invention;
fig. 6 is a schematic diagram of a data model according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. The invention aims to improve the automation control degree of the line pressure of the press part through optimizing the line pressure of the press part, reduce the interference of human factors, improve the running efficiency of a paper machine, improve the energy efficiency ratio and reduce the production cost.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
In one embodiment provided by the present invention, as shown in fig. 1, a pulp processing press section pressure control optimization method comprises:
step S10: synchronously collecting paper quality data based on the pressing form and the requirement;
step S20: checking the integrity and synchronism of the paper quality data, and packaging and uploading qualified quality data passing the checking to a database;
step S30: checking the correctness and the variability of the qualified quality data, and storing the qualified quality data passing the check in a database;
step S40: determining an optimal pressing line pressure parameter based on a matching data model, and transmitting the optimal pressing line pressure parameter to an upper computer;
step S50: the upper computer sends the adjusted optimal pressing line pressure parameter to the DCS controller, and the DCS controller dynamically adjusts the action of the pressing part.
In some embodiments of the present invention, the step of synchronously collecting paper quality data includes: the high-speed camera collects image data of the press part, and indentation depth data is obtained through an indentation recognition algorithm.
As shown in fig. 2, in the embodiment of the present invention, the step of obtaining the indentation depth data through the indentation recognition algorithm includes:
step S11: collecting indentation images through a high-speed camera;
step S12: extracting a gray scale image of the indentation image;
step S13: performing image filtering processing to obtain an intermediate image;
step S14: adopting a cluster positioning algorithm to extract and inhibit edges of the intermediate image;
step S15: and (5) fitting the edge profile, and outputting indentation depth data of the indentation profile image.
In some embodiments provided herein, the step of verifying the integrity and synchronicity of the paper quality data comprises:
verifying the integrity of the paper quality data according to the classification of the press data in the press form and the demand;
and checking the synchronism of the data by checking whether the acquisition time is consistent.
In some embodiments of the present invention, the step of verifying the correctness and variability of the qualified quality data includes: packaging the attached CRC check code along with the qualified quality data into frames and uploading the frames to a database; checking the correctness of the data received by the database by a CRC (cyclic redundancy check) method; the variability of the data received by the database is checked by comparing whether there is variability with the existing data of the database.
In some embodiments of the present invention, the step of determining the optimal press line pressure parameters based on the matched data model comprises: and adopting a least square fitting method to update a data model among the paper forming quality, the pressing line pressure and the paper machine speed under the same pressing form and the same requirement, and solving the optimal pressing line pressure parameter according to the data model while meeting the paper forming quality and the paper machine speed.
In some embodiments provided by the present invention, the DCS controller dynamically adjusts press section actions specifically including:
the DCS controller dynamically adjusts the pressing part to perform decompression; or (b)
The DCS controller dynamically adjusts the press part to perform pressurizing operation.
As shown in fig. 3, in the embodiment of the present invention, after the system is powered on, system initialization is first performed, including various sensor initialization, pressing mode and production requirement initialization, and initialization of other system parameters.
After system initialization, the producer can select the press form of the press, the size of the pressed web, the type of pulp and the production requirements per gram weight etc. on the upper computer for the finishing classification of the data afterwards. After the press form and the requirements are selected, the high-speed camera collects images of the press part in and out, the indentation profile is obtained through an algorithm, and the algorithm flow is shown in figure 2.
Further, the pulp hardness is converted according to the line pressure of the press part, and the upper computer synchronously collects the data such as pulp hardness, paper machine speed, press line pressure, moisture content and the like. And (3) checking whether the acquisition time is consistent or not so as to check the synchronism of the data, and packing and framing the CRC attached check code to upload the CRC attached check code to a database after various data meet the synchronism and are free of defects.
In order to avoid interference to a system caused by missing data in a data transmission process, a receiving end checks the correctness of the data through a CRC check method, checks the difference of the data through a method of comparing whether the data is different with the existing data of a database, and only the data which passes through the correctness and the difference check are stored in the database.
Further, according to the data difference, the system adopts least square fitting to update a data model between the paper forming quality, the press line pressure and the paper machine speed under the same press form and the same requirements, and a model diagram is shown in fig. 5.
When the paper machine is at a constant speed, the water content of the pulp decreases with the increase of the pressure of the press line, but when the pressure of the press line is too high, the press efficiency decreases. And the system returns the optimal squeezing line pressure parameters to the upper computer under the current condition by combining the data received by the database and the existing model.
The upper computer sends the pressure parameters of the squeezing line to the DCS controller, and the controller adjusts the pressurizing device or the depressurizing device of the squeezing part.
The method comprises the steps of completing a group of complete processes, starting from the acquisition of paper quality data, performing the next group of processes, and completing dynamic closed-loop control of line pressure.
In another embodiment provided by the present invention, as shown in fig. 4, a pulp processing press section pressure control optimizing apparatus, the optimizing apparatus comprising:
a press section 100;
a paper quality data acquisition part module 300 for synchronously acquiring paper quality data based on a pressing form and a demand;
in the paper quality data acquisition part module 300 provided in the embodiment of the present invention, the pressing form and the demand include information such as the pressing form of the press, the size of the pressed paper web, the type of pulp, the unit grammage, etc., the high-speed camera acquires image data of the paper pulp passing in and out of the press part, the hardness of the pressed paper pulp is obtained by an algorithm, the moisture content of the paper web is detected by the moisture detection sensor, and in addition, the energy efficiency analysis data include the speed of the paper machine, the pressure of the pressing line, and the moisture content of the paper web.
The upper computer module 400 is used for checking the integrity and the synchronism of the paper quality data and packing and uploading the qualified quality data passing the checking to the database; the upper computer sends the adjusted optimal pressing line pressure parameter to the DCS controller;
a DCS controller module 200 for dynamically adjusting the motion of the press section 100;
the database module 500 is used for checking the correctness and the variability of the qualified quality data and storing the qualified quality data passing the check in the database; and determining an optimal press line pressure parameter based on the matched data model, and transmitting the optimal press line pressure parameter to an upper computer.
In the embodiment of the present invention, the upper computer module 400 can package and upload the paper quality data to the database module 500, and the upper computer module 400 can receive the data from the database module 500 and can control the DCS controller module 200.
As shown in fig. 5, an ER diagram for database module 500;
in the embodiment of the invention, the database module 500 can combine the sampling data, match the existing model of the database and update the data model among the paper quality, the pressing line pressure and the speed of the paper machine through an intelligent algorithm, as shown in fig. 6, calculate the pressing line pressure parameter with the most obvious effect while meeting the paper quality and the speed of the paper machine, and return the pressing line pressure parameter to the upper computer module 400; the upper computer module 400 transmits the adjusted pressure parameters of the press line to the DCS controller module 200, and the DCS controller module 200 dynamically adjusts the press section 100 to perform pressurization or depressurization, so that the press effect is maintained to be optimal.
In some embodiments provided by the present invention, the paper quality data acquisition module includes:
a high speed camera for acquiring in and out press section image data;
and the indentation recognition module is used for obtaining indentation depth data through an indentation recognition algorithm.
In summary, the invention optimizes the line pressure of the press part, has simple operation, a producer only needs to monitor the machine through the upper computer, the database is combined with the collected data, the intelligent closed-loop control is carried out according to the data model, the interference of human factors is avoided, the pressure parameter can be dynamically adjusted in time, the data model is more accurate along with the increase of the collected data of the database, the energy efficiency analysis is carried out, the running efficiency of the paper machine is obviously improved, the energy efficiency ratio is improved, and the production cost is reduced.
In a third aspect, in yet another embodiment the invention provides a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of a pulp processing press section pressure control optimization method as provided above.
Specifically, the method for optimizing the pressure control of the pulp processing press part comprises the following steps: synchronously collecting paper quality data based on the pressing form and the requirement; checking the integrity and synchronism of the paper quality data, and packaging and uploading qualified quality data passing the checking to a database; checking the correctness and the variability of the qualified quality data, and storing the qualified quality data passing the check in a database; determining an optimal pressing line pressure parameter based on a matching data model, and transmitting the optimal pressing line pressure parameter to an upper computer; the upper computer sends the adjusted optimal pressing line pressure parameter to the DCS controller, and the DCS controller dynamically adjusts the action of the pressing part.
In one typical configuration of an embodiment of the present invention, a terminal, a device serving a network, and a computing device include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
Although embodiments of the invention have been disclosed above, they are not limited to the use listed in the specification and embodiments. It can be applied to various fields suitable for the present invention. Additional modifications will readily occur to those skilled in the art. Therefore, the invention is not to be limited to the specific details and illustrations shown and described herein, without departing from the general concepts defined in the claims and their equivalents.
Claims (4)
1. A method of optimizing pulp processing press section pressure control, said optimizing method comprising:
based on the pressing form and the requirement, synchronously collecting integrated paper quality data, wherein the step of synchronously collecting the integrated paper quality data comprises the following steps: the method comprises the steps of collecting image data of a press part entering and exiting from the high-speed camera, obtaining indentation depth data through an indentation recognition algorithm, wherein the step of obtaining the indentation depth data through the indentation recognition algorithm comprises the following steps: collecting an indentation image through a high-speed camera, extracting a gray level image of the indentation image, performing image filtering treatment to obtain an intermediate image, performing edge extraction and suppression on the intermediate image by adopting a cluster positioning algorithm, performing edge contour fitting, and outputting indentation depth data of the indentation contour image;
checking the integrity and the synchronism of the paper quality data, packaging and uploading qualified quality data passing the checking to a database, wherein the step of checking the integrity and the synchronism of the paper quality data comprises the following steps of: according to the classification of the pressing data in the pressing form and the demand, checking the integrity of the paper quality data, and checking the synchronism of the data by checking whether the acquisition time is consistent;
checking the correctness and the variability of the qualified quality data, and storing the qualified quality data passing the check in a database, wherein the step of checking the correctness and the variability of the qualified quality data comprises the following steps: packaging the attached CRC check code along with the qualified quality data into frames and uploading the frames to a database, checking the correctness of the data received by the database through a CRC check method, and checking the variability of the data received by the database through a method of comparing whether the data is different with the existing data of the database;
determining an optimal press line pressure parameter based on the matching data model, and sending the optimal press line pressure parameter to a host computer, wherein the step of determining the optimal press line pressure parameter based on the matching data model comprises the following steps: adopting a least square method to fit and update a data model among paper forming quality, pressing line pressure and paper machine speed under the same pressing form and requirement, and solving an optimal pressing line pressure parameter according to the data model while meeting the paper forming quality and the paper machine speed;
the upper computer sends the adjusted optimal pressing line pressure parameter to the DCS controller, the DCS controller dynamically adjusts the pressing part action, and the DCS controller dynamically adjusts the pressing part action specifically comprises the following steps: the DCS controller dynamically adjusts the pressing part to perform decompression; or (b)
The DCS controller dynamically adjusts the press part to perform pressurizing operation.
2. A pulp processing press section pressure control optimizing device for implementing the method according to claim 1, characterized in that the optimizing device comprises: the paper quality data acquisition part module is used for synchronously acquiring paper quality data based on a pressing form and requirements;
the upper computer module is used for checking the integrity and the synchronism of the paper quality data and packing and uploading the qualified quality data passing the checking to the database; the upper computer sends the adjusted optimal pressing line pressure parameter to the DCS controller;
the DCS controller is used for dynamically adjusting the action of the pressing part;
the database module is used for checking the correctness and the variability of the qualified quality data and storing the qualified quality data passing the check in the database; and determining an optimal press line pressure parameter based on the matched data model, and transmitting the optimal press line pressure parameter to an upper computer.
3. The pulp processing press section pressure control optimization device of claim 2, wherein the paper quality data acquisition section module comprises: a high speed camera for acquiring in and out press section image data;
and the indentation recognition module is used for obtaining indentation depth data through an indentation recognition algorithm.
4. A computer-readable storage medium, characterized in that a computer program is stored, which, when being executed by a processor, causes the processor to carry out the steps of the pulp processing press section pressure control optimization method according to claim 1.
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