CN117270472A - Intelligent control system for metallurgical powder preparation and process equipment thereof - Google Patents
Intelligent control system for metallurgical powder preparation and process equipment thereof Download PDFInfo
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- CN117270472A CN117270472A CN202311298375.6A CN202311298375A CN117270472A CN 117270472 A CN117270472 A CN 117270472A CN 202311298375 A CN202311298375 A CN 202311298375A CN 117270472 A CN117270472 A CN 117270472A
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- control system
- making equipment
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- 239000000843 powder Substances 0.000 title claims abstract description 99
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000002360 preparation method Methods 0.000 title abstract description 14
- 238000013499 data model Methods 0.000 claims abstract description 14
- 238000003801 milling Methods 0.000 claims description 26
- 238000004519 manufacturing process Methods 0.000 claims description 16
- 230000002159 abnormal effect Effects 0.000 claims description 8
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 3
- 239000003546 flue gas Substances 0.000 claims description 3
- 239000002994 raw material Substances 0.000 claims description 3
- 238000005265 energy consumption Methods 0.000 abstract description 9
- 238000010298 pulverizing process Methods 0.000 description 9
- 230000001276 controlling effect Effects 0.000 description 7
- 239000003245 coal Substances 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 239000002817 coal dust Substances 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- 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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent control system for metallurgical powder preparation and process equipment thereof, wherein the system comprises: the system comprises a data acquisition unit, a server and a control unit. The data acquisition unit is used for acquiring operation parameters of the powder making equipment, the server is connected with the data acquisition unit, the server is used for acquiring and storing the operation parameters acquired by the data acquisition unit and determining control parameters according to a preset process data model, the control unit is connected with the server, and the control unit is used for receiving the control parameters output by the server and controlling the operation of the powder making equipment according to the control parameters so as to reduce the energy consumption of the powder making equipment and improve the utilization rate of the powder making equipment.
Description
Technical Field
The invention relates to the technical field of metallurgical powder preparation, in particular to an intelligent control system for metallurgical powder preparation and process equipment thereof.
Background
In blast furnace ironmaking, requirements are made on the granularity of coal dust and the manufacturing process of the coal dust, in the prior art, each powder making device is manually operated, and because the control of the powder making device is higher in dependence on personnel due to self experience when workers operate, the quality of products fluctuates along with the flowing of the personnel. Meanwhile, because of manual operation, when the powder making equipment waits, the idle time is more, so that the powder making equipment generates larger useless power consumption, and the powder making cost is increased. In the aspect of operation safety, manual inspection and monitoring are basically relied on, so that the safety and the efficiency are low, and accidents are easy to cause.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention aims to provide an intelligent control system for metallurgical powder preparation and process equipment thereof.
The invention provides an intelligent control system for metallurgical powder preparation, which comprises the following components: the system comprises a data acquisition unit, a server and a control unit; the data acquisition unit is used for acquiring operation parameters of the powder making equipment; the server is connected with the data acquisition unit, and is used for acquiring and storing the operation parameters acquired by the data acquisition unit and determining control parameters according to a preset process data model; the control unit is connected with the server, and is used for receiving the control parameters output by the server and controlling the operation of the powder making equipment according to the control parameters.
In addition, the metallurgical powder process intelligent control system according to the embodiment of the invention can also have the following additional technical characteristics:
further, this metallurgical powder process intelligent control system still includes: the client is connected with the server and used for sending a control instruction to the server so as to forward the control instruction to the control unit through the server and control the powder making equipment.
Further, the client is further configured to: and sending a data checking request to the server so as to check the running state of the powder making equipment.
Further, the data acquisition unit communicates with the server through an OPC protocol.
Further, the control parameters include: and the opening of the valve is closed and opened by the powder making equipment.
Further, the pulverizing apparatus includes: at least one of a flue gas system, a raw material system, a mill system, a collection system, and an exhaust fan.
Further, the server is further configured to: calculating and storing the powder output per hour and the operation time length of the powder manufacturing equipment.
Further, the server is further configured to: and when the operation parameters of the powder making equipment are judged to be abnormal, alarming is carried out.
Further, the process data model is obtained through training according to a machine self-learning algorithm.
According to the embodiment of the invention, the intelligent control system for metallurgical powder preparation comprises: intelligent control system of metallurgical powder process, its characterized in that includes: the system comprises a data acquisition unit, a server and a control unit. The data acquisition unit is used for acquiring the operation parameters of the powder making equipment; the server is connected with the data acquisition unit, and is used for acquiring and storing the operation parameters acquired by the data acquisition unit and determining the control parameters according to a preset process data model; the control unit is connected with the server and is used for receiving control parameters output by the server and controlling the operation of the powder making equipment according to the control parameters so as to reduce the energy consumption of the powder making equipment and improve the utilization rate of the powder making equipment. Furthermore, the control parameters are automatically adjusted according to the process model, so that the uniformity and standardization of the product quality can be ensured. Further, when the operation parameters of the powder making equipment are judged to be abnormal, an alarm is given, so that the safety of workers is ensured.
In order to solve the above problems, the present invention further provides a process apparatus, including: the intelligent control system for metallurgical milling according to any one of the above embodiments.
According to an embodiment of the invention, a process apparatus comprises: the intelligent control system for metallurgical milling according to any one of the embodiments above, so as to reduce energy consumption of the milling equipment and improve the utilization rate of the milling equipment. Furthermore, the control parameters are automatically adjusted according to the process model, so that the uniformity and standardization of the product quality can be ensured. Further, when the operation parameters of the powder making equipment are judged to be abnormal, an alarm is given, so that the safety of workers is ensured.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic diagram of a metallurgical milling intelligent control system according to one embodiment of the invention;
FIG. 2 is a schematic view showing the relationship between a powder manufacturing apparatus and operating parameters according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another metallurgical milling intelligent control system according to one embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in detail below, by way of example with reference to the accompanying drawings.
An intelligent control system and process equipment for metallurgical milling according to an embodiment of the invention are described below with reference to fig. 1-3.
FIG. 1 is a schematic diagram of a metallurgical milling intelligent control system according to one embodiment of the invention. As shown in fig. 1, the metallurgical milling intelligent control system 10 includes: a data acquisition unit 11, a server 12 and a control unit 13. The data acquisition unit 11 is used for acquiring operation parameters of the powder making equipment; the server 12 is connected with the data acquisition unit 11, and the server 12 is used for acquiring and storing the operation parameters acquired by the data acquisition unit 11 and determining control parameters according to a preset process data model; the control unit 13 is connected with the server 12, and the control unit 13 is used for receiving control parameters output by the server 12 and controlling the operation of the powder making equipment according to the control parameters.
Specifically, the pulverizing apparatus includes, but is not limited to: the system comprises a flue gas system, a raw material system, a mill system, a collecting system and an exhaust fan, wherein the powder making equipment can generate certain operation parameters in the powder making process, and the operation parameters need to be monitored and regulated in real time so as to reduce the energy consumption of the powder making equipment and improve the utilization rate of the powder making equipment. Specifically, as shown in FIG. 2, the operating parameters include, but are not limited to: temperature, pressure, flow, oxygen content, and bin space. The intelligent control system for metallurgical powder preparation in the embodiment of the invention collects the operation parameters of each powder preparation device through the data collection unit 11, and uploads the operation parameters to the server 12, the server 12 obtains and stores the operation parameters, and determines the control parameters according to a preset process data model, so that the control unit 13 controls the operation of the powder preparation device according to the control parameters. Specifically, the process data model may output control parameters through logic operation with the operation parameters of the powder manufacturing apparatus as input parameters. For example, the process data model may obtain control parameters such as start-stop and valve opening of the powder manufacturing device through logic operation according to the currently input data such as temperature, pressure, flow, etc., and the server 12 outputs the control parameters to the control unit 13, so that the control unit 13 controls the operation of the powder manufacturing device according to the control parameters. It can be appreciated that the process data model can be trained by a machine self-learning algorithm according to process experience of the pulverizing industry for many years.
In a specific embodiment, the data acquisition unit 11 includes sensors such as a temperature sensor and a pressure sensor, and a PLC (Programmable Logic Controller ) data acquisition unit, where data such as temperature and pressure acquired by the sensors are transmitted to the PLC data acquisition unit, and the PLC data acquisition unit communicates with the server 12 through an OPC protocol, so that the server 12 uploads operating parameters such as temperature and pressure of the powder manufacturing equipment to the server 12, so that the server 12 calculates the operating parameters of each powder manufacturing equipment through a preset process data model according to the acquired operating parameters, determines control parameters of the powder manufacturing equipment, and sends the control parameters to the control unit 13, and the control unit 13 controls the powder manufacturing equipment according to the control parameters, thereby reducing energy consumption of each powder manufacturing equipment, improving the standardization degree of operation of the powder manufacturing equipment, thereby improving consistency of products, and being beneficial to product iteration. It is understood that the control unit 13 includes, but is not limited to, a PLC controller.
In one embodiment of the invention, the metallurgical milling intelligent control system further comprises: the client is connected with the server and used for sending a control instruction to the server so as to forward the control instruction to the control unit through the server and control the powder making equipment.
Specifically, as shown in fig. 3, the client 14 is connected to the server 12, and when the client 14 issues the latest control instruction, the control instruction is sent to the control unit 13 through the server 12, and the control unit 13 controls the powder manufacturing apparatus according to the received control instruction, that is, the user can directly control the powder manufacturing apparatus through the client 14. In a specific embodiment, the client 14 includes, but is not limited to, a mobile terminal such as a mobile phone, a tablet, etc., and the control unit 13 includes, but is not limited to, a PLC controller, i.e. during the metallurgical milling, the PLC controller can precisely control the milling apparatus according to the latest control command issued by the client 14.
In one embodiment of the present invention, the client is further configured to: and sending a data checking request to the server to check the running state of the powder making equipment.
Specifically, since the data acquisition unit may store the operation parameters of the powder mill to the server in real time, the client may send a data viewing request to the server to view the historical operation data of the powder mill. Specifically, when the client sends a data viewing request to the server, the server returns the historical operating data stored in the database to the client. In order to make the client more convenient and visual to check the running state of the powder making equipment, the embodiment of the invention uses an NGINX (Engine-X) server, and a worker can check the running state of the powder making equipment through a browser page of the client.
In one embodiment of the invention, the data acquisition unit communicates with the server via an OPC protocol.
Specifically, when the data acquisition unit uploads the operating parameters such as temperature and pressure of the powder making equipment to the server, connection is established with the server through an OPC protocol, the connection and reconnection mode is checked in a circulating mode, the state of normal connection with the server is ensured, and if disconnection is detected, reconnection operation is performed, so that after connection with the server is established, new operating parameter data are updated and added, and the new operating parameter data are sent to the server to upload the operating parameters of the powder making equipment to the server. In a specific embodiment, after receiving the data such as temperature and pressure acquired by the sensor, the PLC data acquisition unit uses PLC programming software and configuration software to communicate with the server through an OPC protocol.
In one embodiment of the invention, the control parameters include: the opening of the valve is closed and opened by the powder making equipment.
Specifically, when the metallurgy is used for pulverizing, the starting and stopping of the pulverizing equipment are controlled, so that the pulverizing equipment is started when the operation is needed and stopped when the operation is not needed, and the energy consumption of the pulverizing equipment is reduced; the opening of the valve directly influences the feeding amount and uniformity of the pulverized coal, and the flow, the transmission and the feeding speed of the pulverized coal can be regulated by controlling the opening of the valve, so that the dependence on personnel is reduced, and the uniformity and the standardization of the product quality are ensured.
In one embodiment of the invention, the server is further configured to: calculating and storing the powder output per hour and the operation time of the powder making equipment.
Specifically, the production efficiency of the powder making equipment can be monitored in real time by calculating and storing the powder output per hour and the operation time length of the powder making equipment, and the operation condition of the powder making equipment can be known in time so as to optimize the powder making process in time, thereby further reducing the energy consumption of the powder making equipment and improving the productivity of the powder making equipment.
In one embodiment of the invention, the server is further configured to: and when the operation parameters of the powder making equipment are judged to be abnormal, alarming is carried out.
Specifically, when metallurgical powder making is performed, after the server receives the operation parameters of the powder making equipment, judging whether the operation parameters of the powder making equipment are abnormal, if the operation parameters are judged to be beyond the normal range, dangerous situations are considered to occur, alarming and prompting are performed, and the control parameters are determined to be shutdown parameters, so that the control unit controls the automatic operation shutdown flow of the powder making equipment, and the safety of workers is ensured.
In a specific embodiment, during pulverizing, the components of the raw coal need to be detected to prevent accidents caused by foreign matters in the raw coal, and specifically, whether the foreign matters exist in the raw coal is determined by vibration data detected by a vibration detection device loaded on a pulverizing device. After the vibration data detected by the vibration detection device is uploaded to the server, the server judges whether the vibration data is in a normal range, if so, the safety of the working environment is confirmed, otherwise, the danger of the working environment is confirmed, and an alarm prompt is given, for example: "dangerous, please get away from the work area quickly. And controlling the shutdown of the powder making equipment through the control unit in time.
According to the embodiment of the invention, the intelligent control system for metallurgical powder preparation comprises: the system comprises a data acquisition unit, a server and a control unit. The data acquisition unit is used for acquiring the operation parameters of the powder making equipment; the server is connected with the data acquisition unit, and is used for acquiring and storing the operation parameters acquired by the data acquisition unit and determining the control parameters according to a preset process data model; the control unit is connected with the server and is used for receiving control parameters output by the server and controlling the operation of the powder making equipment according to the control parameters so as to reduce the energy consumption of the powder making equipment and improve the utilization rate of the powder making equipment. Furthermore, the control parameters are automatically adjusted according to the process model, so that the uniformity and standardization of the product quality can be ensured. Further, when the operation parameters of the powder making equipment are judged to be abnormal, an alarm is given, so that the safety of workers is ensured.
Further embodiments of the present invention also disclose a process apparatus comprising: the intelligent control system for metallurgical milling according to any one of the above embodiments.
It should be noted that, when the process equipment of the embodiment of the present invention performs metallurgical powder preparation control, its specific implementation manner is similar to that of the metallurgical powder preparation intelligent control system of the embodiment of the present invention, and specific please refer to the description of the system section, so that redundancy is reduced and no further description is provided herein.
According to an embodiment of the invention, a process apparatus comprises: the intelligent control system for metallurgical milling according to any one of the above embodiments, wherein the data acquisition unit is configured to acquire operation parameters of the milling device; the server is connected with the data acquisition unit, and is used for acquiring and storing the operation parameters acquired by the data acquisition unit and determining the control parameters according to a preset process data model; the control unit is connected with the server and is used for receiving control parameters output by the server and controlling the operation of the powder making equipment according to the control parameters so as to reduce the energy consumption of the powder making equipment and improve the utilization rate of the powder making equipment. Furthermore, the control parameters are automatically adjusted according to the process model, so that the uniformity and standardization of the product quality can be ensured. Further, when the operation parameters of the powder making equipment are judged to be abnormal, an alarm is given, so that the safety of workers is ensured.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. An intelligent control system for metallurgical milling, comprising: the system comprises a data acquisition unit, a server and a control unit; wherein,
the data acquisition unit is used for acquiring the operation parameters of the powder making equipment;
the server is connected with the data acquisition unit, and is used for acquiring and storing the operation parameters acquired by the data acquisition unit and determining control parameters according to a preset process data model;
the control unit is connected with the server, and is used for receiving the control parameters output by the server and controlling the operation of the powder making equipment according to the control parameters.
2. The metallurgical milling intelligent control system of claim 1, further comprising:
the client is connected with the server and used for sending a control instruction to the server so as to forward the control instruction to the control unit through the server and control the powder making equipment.
3. The metallurgical milling intelligent control system of claim 2, wherein the client is further configured to:
and sending a data checking request to the server so as to check the running state of the powder making equipment.
4. The intelligent control system for metallurgical milling according to claim 1, wherein,
the data acquisition unit communicates with the server through an OPC protocol.
5. The metallurgical milling intelligent control system of claim 1, wherein the control parameters comprise: and the opening of the valve is closed and opened by the powder making equipment.
6. The metallurgical milling intelligent control system of claim 1, wherein the milling apparatus comprises: at least one of a flue gas system, a raw material system, a mill system, a collection system, and an exhaust fan.
7. The metallurgical milling intelligent control system of claim 1, wherein the server is further configured to:
calculating and storing the powder output per hour and the operation time length of the powder manufacturing equipment.
8. The metallurgical milling intelligent control system of claim 1, wherein the server is further configured to:
and when the operation parameters of the powder making equipment are judged to be abnormal, alarming is carried out.
9. The intelligent metallurgical milling control system of claim 1, wherein the process data model is trained in accordance with a machine self-learning algorithm.
10. A process apparatus, comprising: an intelligent metallurgical milling control system according to any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311298375.6A CN117270472A (en) | 2023-10-07 | 2023-10-07 | Intelligent control system for metallurgical powder preparation and process equipment thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311298375.6A CN117270472A (en) | 2023-10-07 | 2023-10-07 | Intelligent control system for metallurgical powder preparation and process equipment thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117270472A true CN117270472A (en) | 2023-12-22 |
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ID=89210226
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311298375.6A Pending CN117270472A (en) | 2023-10-07 | 2023-10-07 | Intelligent control system for metallurgical powder preparation and process equipment thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117270472A (en) |
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2023
- 2023-10-07 CN CN202311298375.6A patent/CN117270472A/en active Pending
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