CN212989917U - Online prediction device for fly ash carbon content of coal-fired unit - Google Patents
Online prediction device for fly ash carbon content of coal-fired unit Download PDFInfo
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- CN212989917U CN212989917U CN202022038204.8U CN202022038204U CN212989917U CN 212989917 U CN212989917 U CN 212989917U CN 202022038204 U CN202022038204 U CN 202022038204U CN 212989917 U CN212989917 U CN 212989917U
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Abstract
The utility model provides an online prediction device for coal-fired unit flying dust carbon content, the device includes: the system comprises a flying ash carbon-containing prediction CPU, a power module, a communication module and an upper computer, wherein the upper computer is connected with the flying ash carbon-containing prediction CPU, the flying ash carbon-containing prediction CPU is connected with the communication module, the communication module is connected with a DCS (distributed control System) of a thermal power unit, and the power module is connected with the flying ash carbon-containing prediction CPU and the communication module. The utility model provides an online prediction device for coal-fired unit flying dust carbon content adopts soft measuring method, has reduced the risk of damaging the flue, and measurement cycle is short, and no maintenance load, measurement accuracy is high, and the error is low, has realized intelligent flying dust carbon content prediction, through surveying the accurate boiler combustion of instructing of data, reduces flying dust carbon content, improves combustion efficiency, reduces the influence of boiler flying dust carbon-containing granule to atmospheric.
Description
Technical Field
The utility model relates to a flying dust carbon content detects technical field, especially relates to an online prediction device that is used for coal-fired unit flying dust carbon content.
Background
With the improvement of social environmental awareness and the establishment of related national environmental laws, the problem of emission of carbon-containing particles in smoke dust of coal-fired units of thermal power plants draws more and more attention. The fly ash carbon-containing particles generated by combustion of the thermal power generating unit are one of main components of suspended particles in the atmosphere, and the carbon content of the boiler fly ash is an important index for reflecting the combustion efficiency of a coal-fired boiler of the thermal power generating unit, so that the fly ash carbon-containing monitoring with higher accuracy and real-time performance is favorable for reflecting the combustion control level of the boiler, the running economy of the unit is improved, and the influence of the boiler fly ash carbon-containing particles on the atmospheric environment is improved.
However, due to the limitation of the measuring instrument, the traditional instrument for measuring the fly ash carbon content of the boiler cannot accurately realize data measurement, at present, the online measuring technology of the fly ash carbon content instrument mainly comprises a weightless burning method and a microwave resonance method, the two methods need to frequently extract fly ash samples from a flue, so that the problems of abrasion, blockage and the like of a sampling pipeline are caused, the operation maintenance amount of a measuring device is overlarge, and the utilization rate of equipment is low. The measured carbon content of the fly ash can not be effectively applied to the accurate control of the combustion process of the boiler, and is not beneficial to reducing the carbon content of the fly ash and improving the combustion efficiency.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing an online prediction device for coal-fired unit flying dust carbon content adopts soft measuring method, has reduced the risk of damaging the flue, and measurement cycle is short, and no maintenance volume, measurement accuracy is high, and the error is low, has realized the prediction of intelligent flying dust carbon content, through surveying the accurate boiler combustion of guiding of data, reduces flying dust carbon content, improves combustion efficiency, reduces the influence of boiler flying dust carbon-containing granule to atmospheric.
In order to achieve the above object, the utility model provides a following scheme:
an on-line prediction device for the fly ash carbon content of a coal-fired unit comprises: the system comprises a fly ash carbon-containing prediction CPU, a power module, a communication module and an upper computer, wherein the upper computer is connected with the fly ash carbon-containing prediction CPU, the fly ash carbon-containing prediction CPU is connected with the communication module, the communication module is connected with a DCS (distributed control system) of a thermal power unit, and the power module is connected with the fly ash carbon-containing prediction CPU and the communication module;
the communication module is used for realizing data transmission between the fly ash carbon-containing prediction CPU and the DCS of the thermal power generating unit;
the fly ash carbon content prediction CPU is used for receiving the data transmitted by the communication module and outputting a predicted fly ash carbon content value;
the upper computer is used for monitoring, recording and displaying data output by the CPU for predicting carbon content in the fly ash;
and the power supply module is used for supplying power to the fly ash carbon-containing prediction CPU and the communication module.
Optionally, the fly ash carbon-containing prediction CPU is provided with two TCP/IP protocol interfaces, which are respectively in communication connection with the upper computer and the communication module.
Optionally, the communication module is also provided with two TCP/IP protocol interfaces, one of which is connected with the TCP/IP protocol interface of the fly ash carbon-containing prediction CPU, and the other is reserved for standby; the communication module is further provided with an RS232 interface and an RS485 interface, and the RS485 interface is connected with the DCS of the thermal power generating unit through a copper core twisted pair.
Optionally, a TCP/IP protocol interface of the fly ash carbon-containing prediction CPU is connected to the upper computer through a communication cable conforming to a TCP/IP protocol.
Optionally, the fly ash carbon content prediction CPU is siemens S7-300PLC, the power module is siemens PS307, and the communication module is PN-G-MODBUS.
According to the utility model provides a concrete embodiment, the utility model discloses a following technological effect: the utility model provides an online prediction device for coal-fired unit flying dust carbon content adopts soft measurement method, and measurement cycle is short, and no maintenance load, measurement accuracy can satisfy the current requirement, has realized the carbonaceous prediction of intelligent flying dust; the upper computer is adopted for real-time monitoring and recording, so that manual operation and calculation errors are reduced; the Siemens S7-300PLC is used as a control core, the operation mode of the unit is combined, the communication module is connected with the DCS of the thermal power unit, and transmitted data are processed through the Siemens S7-300PLC, so that remote monitoring is realized, and the problems that the existing measuring instrument needs to sample for many times, the measuring precision is low and the maintenance process is complicated are solved; the communication module is adopted to carry out hard wiring with the set DCS through the copper core twisted pair, and relevant influence factors from the site are transmitted, so that the online prediction of the carbon content of the fly ash is facilitated; the device guides boiler combustion through data obtained through prediction, reduces the carbon content of the fly ash, improves the combustion efficiency, and reduces the influence of carbon-containing particles of the fly ash of the boiler on the atmosphere.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic view of a connection relationship of an on-line prediction device for the carbon content in fly ash of a coal-fired unit according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an on-line prediction device for carbon content in fly ash of a coal-fired unit according to an embodiment of the present invention;
fig. 3 is a schematic view of a trend window of fly ash carbon content of an online prediction device for fly ash carbon content of a coal-fired unit according to an embodiment of the present invention.
Reference numerals: 1. a DCS system of a thermal power generating unit; 2. a communication module; 3. fly ash carbon content prediction CPU; 4. an upper computer; 5. and a power supply module.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
The utility model aims at providing an online prediction device for coal-fired unit flying dust carbon content adopts soft measuring method, has reduced the risk of damaging the flue, and measurement cycle is short, and no maintenance volume, measurement accuracy is high, and the error is low, has realized the prediction of intelligent flying dust carbon content, through surveying the accurate boiler combustion of guiding of data, reduces flying dust carbon content, improves combustion efficiency, reduces the influence of boiler flying dust carbon-containing granule to atmospheric.
In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description.
As shown in fig. 1-2, the embodiment of the present invention provides an online prediction device for fly ash carbon content of a coal-fired unit, including: the system comprises a fly ash carbon-containing prediction CPU 3, a power supply module 5, a communication module 2 and an upper computer 4, wherein the upper computer 4 is connected with the fly ash carbon-containing prediction CPU 3, the fly ash carbon-containing prediction CPU 3 is connected with the communication module 2, the communication module 2 is connected with a DCS (distributed control system) 1 of a thermal power generating unit, and the power supply module 5 is connected with the fly ash carbon-containing prediction CPU 3 and the communication module 2;
the communication module 2 is used for realizing data transmission between the fly ash carbon-containing prediction CPU 3 and the DCS system 1 of the thermal power generating unit;
the fly ash carbon content prediction CPU 3 is used for receiving the data transmitted by the communication module 2 and outputting a predicted fly ash carbon content value;
the upper computer 4 is used for monitoring, recording and displaying data output by the fly ash carbon-containing prediction CPU 3;
and the power supply module 5 is connected with a 220V power supply to output 5V voltage and is used for supplying power to the fly ash carbon-containing prediction CPU 3 and the communication module 2.
The fly ash carbon-containing prediction CPU 3 is provided with two TCP/IP protocol interfaces P1 and P2 which are respectively in communication connection with the upper computer 4 and the communication module 2.
The communication module 2 is also provided with two TCP/IP protocol interfaces PORT1 and PORT2, the TCP/IP protocol interface PORT2 of the communication module 2 is connected with the TCP/IP protocol interface P2 of the fly ash carbon-containing prediction CPU 3, and the TCP/IP protocol interface PORT1 of the communication module 2 is reserved for standby; the communication module 2 is further provided with an RS232 interface and an RS485 interface, and the RS485 interface is connected with the thermal power generating unit DCS system 1 through a copper core twisted pair.
And a TCP/IP protocol interface P1 of the fly ash carbon-containing prediction CPU 3 is connected with the upper computer 4 through a communication cable conforming to a TCP/IP protocol.
The fly ash carbon content prediction CPU 3 is Siemens S7-300PLC, the power module 5 is Siemens PS307, and the communication module 2 is PN-G-MODBUS.
The device comprises a communication module 2, a thermal power unit DCS system 1 and a Modbus protocol, wherein the communication module 2 is connected with the thermal power unit DCS system 1 through the Modbus protocol, the communication module 2 can be configured into a master station or a slave station through hardware, the communication module 2 is configured into a Modbus protocol slave station, and a communication card of the thermal power unit DCS system 1 is configured into a Modbus protocol master station.
WinCC monitoring software is installed on the upper computer 4, and can monitor, record and archive input influence factors and output curves predicted by the models in real time.
The working principle of the on-line prediction device for the fly ash carbon content of the coal-fired unit is as follows: when the method is used, the main factors influencing the carbon content of the fly ash are found by performing mechanism analysis on a boiler combustion system, the variables with larger mutual information values are selected by a mutual information method, and 10 related variables are selected and are respectively: secondary air temperature B, secondary air temperature A, total steam flow, B side oxygen quantity, A side primary air quantity, total coal quantity, oxygen quantity, load and B side primary air quantity; secondly, an accurate fly ash carbon-containing model is established, so that the carbon content of fly ash discharged by the boiler can be accurately estimated. And finally, the Siemens S7-300PLC is used as a control core, the communication module is connected with a thermal power unit control system DCS through the communication module in combination with the operation mode of the unit, the transmitted data are processed through the Siemens S7-300PLC and the established fly ash carbon-containing model is programmed to realize the remote monitoring of the fly ash carbon-containing system, and finally the remote monitoring is realized by combining with the WinCC of an upper computer.
Wherein host computer control flow is as follows: the running state of the device can be remotely monitored after a program is downloaded through a TCP/IP protocol, the fly ash carbon content measuring device and an upper computer are communicated, WinCC is used as configuration software, and WinCC can display the trend of related variables and generate Excel tables for filing and storage. FIG. 3 is a trend window of carbon content in fly ash, which can realize real-time on-line monitoring of carbon content in fly ash, and data of different auxiliary variables and carbon content in fly ash can be read below the trend window; meanwhile, by clicking the filing button, historical data can be filed and stored as a data file, wherein the time for filing the data can be selected.
The utility model provides an online prediction device for coal-fired unit flying dust carbon content adopts soft measurement method, and measurement cycle is short, and no maintenance load, measurement accuracy can satisfy the current requirement, has realized the carbonaceous prediction of intelligent flying dust; the upper computer is adopted for real-time monitoring and recording, so that manual operation and calculation errors are reduced; the Siemens S7-300PLC is used as a control core, the operation mode of the unit is combined, the communication module is connected with the DCS of the thermal power unit, and transmitted data are processed through the Siemens S7-300PLC, so that remote monitoring is realized, and the problems that the existing measuring instrument needs to sample for many times, the measuring precision is low and the maintenance process is complicated are solved; the communication module is adopted to carry out hard wiring with the set DCS through the copper core twisted pair, and relevant influence factors from the site are transmitted, so that the online prediction of the carbon content of the fly ash is facilitated; the device guides boiler combustion through data obtained through prediction, reduces the carbon content of the fly ash, improves the combustion efficiency, and reduces the influence of carbon-containing particles of the fly ash of the boiler on the atmosphere.
The principle and the implementation of the present invention are explained herein by using specific examples, and the above description of the embodiments is only used to help understand the method and the core idea of the present invention; meanwhile, for the general technical personnel in the field, according to the idea of the present invention, there are changes in the concrete implementation and the application scope. In summary, the content of the present specification should not be construed as a limitation of the present invention.
Claims (3)
1. An on-line prediction device for the fly ash carbon content of a coal-fired unit is characterized by comprising: the system comprises a fly ash carbon-containing prediction CPU, a power module, a communication module and an upper computer, wherein the upper computer is connected with the fly ash carbon-containing prediction CPU, the fly ash carbon-containing prediction CPU is connected with the communication module, the communication module is connected with a DCS (distributed control system) of a thermal power unit, and the power module is connected with the fly ash carbon-containing prediction CPU and the communication module;
the communication module is used for realizing data transmission between the fly ash carbon-containing prediction CPU and the DCS of the thermal power generating unit;
the fly ash carbon content prediction CPU is used for receiving the data transmitted by the communication module and outputting a predicted fly ash carbon content value;
the upper computer is used for monitoring, recording and displaying data output by the CPU for predicting carbon content in the fly ash;
the power supply module is used for supplying power to the fly ash carbon-containing prediction CPU and the communication module;
the fly ash carbon-containing prediction CPU is provided with two TCP/IP protocol interfaces which are respectively in communication connection with the upper computer and the communication module;
the communication module is also provided with two TCP/IP protocol interfaces, wherein one TCP/IP protocol interface is connected with the fly ash carbon-containing prediction CPU, and the other TCP/IP protocol interface is reserved for standby; the communication module is further provided with an RS232 interface and an RS485 interface, and the RS485 interface is connected with the DCS of the thermal power generating unit through a copper core twisted pair.
2. The on-line prediction device for the carbon content in the fly ash of the coal-fired unit according to claim 1, wherein a TCP/IP protocol interface of the fly ash carbon content prediction CPU is connected with the upper computer through a communication cable conforming to a TCP/IP protocol.
3. The on-line prediction device for the carbon content of the fly ash of the coal-fired unit as claimed in claim 1, wherein the prediction CPU for carbon content of fly ash is Siemens S7-300PLC, the power module is Siemens PS307, and the communication module is PN-G-MODBUS.
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| CN202022038204.8U CN212989917U (en) | 2020-09-17 | 2020-09-17 | Online prediction device for fly ash carbon content of coal-fired unit |
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