CN111911904B - New energy boiler Internet of things data acquisition control system and acquisition method thereof - Google Patents
New energy boiler Internet of things data acquisition control system and acquisition method thereof Download PDFInfo
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- CN111911904B CN111911904B CN202010713760.2A CN202010713760A CN111911904B CN 111911904 B CN111911904 B CN 111911904B CN 202010713760 A CN202010713760 A CN 202010713760A CN 111911904 B CN111911904 B CN 111911904B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F22—STEAM GENERATION
- F22B—METHODS OF STEAM GENERATION; STEAM BOILERS
- F22B35/00—Control systems for steam boilers
- F22B35/18—Applications of computers to steam boiler control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N5/00—Systems for controlling combustion
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Abstract
The invention discloses a new energy boiler Internet of things data acquisition control system and a new energy boiler Internet of things data acquisition control method, wherein the new energy boiler Internet of things data acquisition control system comprises a distributed control module, a fuel usage analysis module, an environmental pollutant monitoring module, an automatic optimization module, a control system automatic optimization service module, a system model base and a man-machine interaction module, the fuel usage analysis module is in communication connection with the distributed control module and used for analyzing the real-time consumption condition of new energy fuel and uploading the analyzed fuel consumption data to the distributed control module, and the environmental pollutant monitoring module is in communication connection with the distributed control module and used for acquiring the environmental pollutant emission data of a boiler in real time and uploading the pollutant emission data to the distributed control module. The invention can improve the combustion heat efficiency of the new energy boiler and the prediction and reduction of pollutant discharge amount, save fuel, realize automatic feeding and discharging, automatically adjust firepower according to indoor temperature and save energy.
Description
Technical Field
The invention belongs to the technical fields of energy, environmental protection, information and the like, and relates to a new energy boiler Internet of things data acquisition control system and an acquisition method thereof.
Background
In the combustion process of the boiler, most of factors influencing the combustion heat efficiency and pollutant discharge amount of the boiler are the same, the combustion efficiency is improved in some boilers, the pollutant discharge is increased, the environmental pollution is increased, and the combustion efficiency is neglected in some boilers which concentrate on reducing the environmental pollution.
Disclosure of Invention
In order to solve the problems, the invention discloses a new energy boiler Internet of things data acquisition control system and an acquisition method thereof, which can improve the combustion heat efficiency of the new energy boiler and predict and reduce the pollutant discharge amount.
In order to solve the problems, the invention adopts the following technical scheme:
the acquisition method of the new energy boiler Internet of things data acquisition control system comprises the following steps:
the first step is as follows: receiving a starting signal;
the second step is that: the method comprises the steps of automatically starting an induced draft fan, a grate governor and an air blower, simultaneously monitoring the running state information of the boiler in real time, and automatically triggering a fault interlocking device to stop the boiler when the running state information accords with preset alarm state information.
Preferably, the monitoring of the operating state information of the boiler is performed by a temperature sensor, a pressure sensor, a weighing sensor, a nitrogen-oxygen sensor and a sulfur dioxide sensor which are arranged on the boiler.
The invention also aims to provide a new energy boiler internet of things data acquisition control system aiming at the problems, which comprises a distributed control module, a fuel use analysis module, an environmental pollutant monitoring module, an automatic optimization module, a control system automatic optimization service module, a system model base and a human-computer interaction module, wherein the fuel use analysis module is in communication connection with the distributed control module and is used for analyzing the real-time consumption condition of new energy fuel and uploading the analyzed fuel consumption data to the distributed control module, the environmental pollutant monitoring module is in communication connection with the distributed control module and is used for acquiring the environmental pollutant emission data of a boiler in real time and uploading the pollutant emission data to the distributed control module, the automatic optimization module is respectively in communication connection with the distributed control module and the system model base, the system model base is used for storing the fuel consumption data and the environmental pollutant emission data of the distributed control module, and storing the data in the system model base; the control system automatic optimization service module is in communication connection with the system model base and the distributed control module, and is used for adjusting control parameters according to a control mode searched in the system model base and outputting the adjusted parameters to the distributed control module; the human-computer interaction module is in communication connection with the distributed control module and is used for inputting parameter configuration of field operators and checking fuel consumption data and environmental pollutant emission data according to information.
Preferably, the fuel usage analysis module is used for analyzing and counting daily material consumption and excess material consumption, so that operation and maintenance management personnel can manage the field material consumption.
Preferably, the system further comprises a cloud management platform, wherein the cloud management platform is in communication connection with the fuel use analysis module, the environmental pollutant monitoring module, the automatic optimization module and the control system automatic optimization service module, and receives corresponding fuel consumption data, environmental pollutant emission data, control data and adjusting parameters through the Internet of things.
Preferably, the fuel usage analysis module comprises a gas analyzer for determining the usage of fuel according to the gas generated by the combustion of the boiler.
Preferably, the environmental pollutant monitoring module comprises a nitrogen oxide sensor and a sulfur dioxide sensor.
Compared with the prior art, the invention has the beneficial effects that:
1. the combustion heat efficiency of the new energy boiler and the prediction and reduction of pollutant discharge amount are improved;
2. the fuel is saved, automatic feeding and discharging are realized, the firepower is automatically adjusted according to the indoor temperature, and the fuel feeding is automatically controlled according to the firepower;
3. the current fuel consumption condition of the boiler is monitored in real time, and the daily fuel consumption condition is automatically counted and analyzed
Energy is saved;
4. all data information is transmitted to the cloud management platform through the Internet of things, remote operation and maintenance management work of the new energy boiler can be achieved, different data information and control information are collected for different managers, energy consumption monitoring and analysis are conducted, and the purposes of energy conservation and consumption reduction are achieved.
5. The system is used for internal operation and control, so that human intervention is reduced, and unattended and automatic operation is realized.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic view of the structure of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
In order to make those skilled in the art better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The acquisition method of the new energy boiler Internet of things data acquisition control system comprises the following steps:
the first step is as follows: receiving a starting signal;
the second step is that: the method comprises the steps of automatically starting an induced draft fan, a grate governor and an air blower, simultaneously monitoring the running state information of the boiler in real time, and automatically triggering a fault interlocking device to stop the boiler when the running state information accords with preset alarm state information.
The running state information of the boiler is monitored by adopting a temperature sensor, a pressure sensor, a weighing sensor, a nitrogen-oxygen sensor and a sulfur dioxide sensor which are arranged on the boiler.
As shown in figure 1, the new energy boiler Internet of things data acquisition control system comprises a distributed control module, a fuel usage analysis module, an environmental pollutant monitoring module, an automatic optimization module, a control system automatic optimization service module, a system model base and a man-machine interaction module, wherein the fuel usage analysis module is in communication connection with the distributed control module and used for analyzing the real-time consumption condition of new energy fuel and uploading the analyzed fuel consumption data to the distributed control module, the environmental pollutant monitoring module is in communication connection with the distributed control module and used for acquiring the environmental pollutant emission data of a boiler in real time and uploading the pollutant emission data to the distributed control module, and the automatic optimization module is in communication connection with the distributed control module and the system model base respectively and used for enabling the fuel consumption data and the environmental pollutant emission data acquired from the distributed control module to be communicated with the distributed control module Comparing and analyzing the data stored in the system model library, and searching an optimal control mode in the system model library; the control system automatic optimization service module is in communication connection with the system model base and the distributed control module, and is used for adjusting control parameters according to a control mode searched in the system model base and outputting the adjusted parameters to the distributed control module; the human-computer interaction module is in communication connection with the distributed control module and is used for inputting parameter configuration of field operators and checking fuel consumption data and environmental pollutant emission data according to information.
The fuel use analysis module is used for analyzing and counting daily material use conditions and excess material conditions, and management of operation and maintenance management personnel on site material use is provided.
The system is characterized by further comprising a cloud management platform, wherein the cloud management platform is in communication connection with the fuel use analysis module, the environmental pollutant monitoring module, the automatic optimization module and the control system automatic optimization service module, and receives corresponding fuel consumption data, environmental pollutant emission data, control data and adjusting parameters through the Internet of things.
The fuel use analysis module comprises a gas analyzer and judges the use condition of the fuel according to the gas generated by the combustion of the boiler.
The environmental pollutant monitoring module comprises a nitrogen oxide sensor and a sulfur dioxide sensor.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement, component separation or combination and the like made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims (2)
1. The acquisition method of the new energy boiler Internet of things data acquisition control system is characterized by comprising the following steps:
the first step is as follows: receiving a starting signal;
the second step: automatically starting an induced draft fan, a grate governor and an air blower, simultaneously monitoring the running state information of the boiler in real time, and automatically triggering a fault interlocking device to stop the boiler when the running state information accords with preset alarm state information;
the operation state information of the boiler is monitored by adopting a temperature sensor, a pressure sensor, a weighing sensor, a nitrogen-oxygen sensor and a sulfur dioxide sensor which are arranged on the boiler;
the combustion heat efficiency of the new energy boiler is improved, and the pollutant discharge amount is predicted and reduced;
automatic feeding and discharging, wherein firepower is automatically adjusted according to indoor temperature, and fuel feeding is automatically controlled according to the firepower;
monitoring the current fuel consumption condition of the boiler in real time, and automatically counting and analyzing the daily fuel consumption condition;
the new energy boiler Internet of things data acquisition control system comprises a distributed control module, a fuel use analysis module, an environmental pollutant monitoring module, an automatic optimization module, a control system automatic optimization service module, a system model library and a human-computer interaction module,
the fuel usage analysis module is in communication connection with the distributed control module and is used for analyzing the real-time consumption condition of the new energy fuel and uploading the analyzed fuel consumption data to the distributed control module,
the environmental pollutant monitoring module is in communication connection with the distributed control module and is used for acquiring environmental pollutant emission data of the boiler in real time and uploading the pollutant emission data to the distributed control module,
the automatic optimization module is respectively in communication connection with the distributed control module and the system model base and is used for comparing and analyzing the fuel consumption data and the environmental pollutant emission data acquired from the distributed control module with the data stored in the system model base and searching an optimal control mode in the system model base;
the control system automatic optimization service module is in communication connection with the system model base and the distributed control module, and is used for adjusting control parameters according to the control mode found in the system model base and outputting the adjusted parameters to the distributed control module;
the human-computer interaction module is in communication connection with the distributed control module and is used for inputting parameter configuration of field operators and checking fuel consumption data and environmental pollutant emission data information; the fuel use analysis module is used for analyzing and counting daily material use conditions and excess material conditions for management of operation and maintenance management personnel on site material use;
the system also comprises a cloud management platform, wherein the cloud management platform is respectively in communication connection with the fuel use analysis module, the environmental pollutant monitoring module, the automatic optimization module and the control system automatic optimization service module, and receives corresponding fuel consumption data, environmental pollutant emission data, control data and adjustment parameters through the Internet of things; the fuel use analysis module comprises a gas analyzer for judging the use condition of the fuel according to gas generated by boiler combustion, and the environmental pollutant monitoring module comprises a nitrogen oxide sensor and a sulfur dioxide sensor.
2. New energy boiler thing networking data acquisition control system, its characterized in that, including distributed control module, fuel use analysis module, environmental pollutant monitoring module, automatic optimization module, control system automatic optimization service module, system model storehouse and human-computer interaction module, fuel use analysis module with distributed control module communication connection for the real-time consumption condition of analysis new energy fuel, and with the fuel consumption data upload that the analysis obtained distributed control module, environmental pollutant monitoring module with distributed control module communication connection for acquire the environmental pollutant emission data of boiler in real time, and with pollutant emission data upload distributed control module, automatic optimization module respectively with distributed control module system model storehouse communication connection, be used for with the fuel consumption data and the environmental pollutant emission data that obtain in the distributed control module with distributed control module Comparing and analyzing the data stored in the system model library, and searching an optimal control mode in the system model library; the control system automatic optimization service module is in communication connection with the system model base and the distributed control module, and is used for adjusting control parameters according to a control mode searched in the system model base and outputting the adjusted parameters to the distributed control module; the human-computer interaction module is in communication connection with the distributed control module and is used for inputting parameter configuration of field operators and checking fuel consumption data and environmental pollutant emission data information; the fuel use analysis module is used for analyzing and counting daily material use conditions and excess material conditions for management of operation and maintenance management personnel on site material use;
the system comprises a fuel usage analysis module, an environmental pollutant monitoring module, an automatic optimization module and a control system automatic optimization service module, and is characterized by further comprising a cloud management platform, wherein the cloud management platform is respectively in communication connection with the fuel usage analysis module, the environmental pollutant monitoring module, the automatic optimization module and the control system automatic optimization service module, and receives corresponding fuel consumption data, environmental pollutant emission data, control data and adjustment parameters through the Internet of things; the fuel use analysis module comprises a gas analyzer for judging the use condition of the fuel according to gas generated by boiler combustion, and the environmental pollutant monitoring module comprises a nitrogen oxide sensor and a sulfur dioxide sensor.
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| EP3402166A1 (en) * | 2017-03-13 | 2018-11-14 | Kiturami Co., Ltd. | CONTROL SYSTEM AND METHOD FOR IoT BOILER |
| CN109386839A (en) * | 2018-09-12 | 2019-02-26 | 福州众联信息科技有限公司 | A kind of online coal-fired monitoring management method and system based on technology of Internet of things |
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| CN201652310U (en) * | 2010-03-02 | 2010-11-24 | 李晓明 | Steam boiler automatic control system |
| CN205261626U (en) * | 2015-12-09 | 2016-05-25 | 深圳粤通新能源环保技术有限公司 | Automatic boiler control system |
| KR101933869B1 (en) * | 2016-11-28 | 2018-12-31 | 주식회사 케이아이씨텍 | System and method for automatic temperature control of a boiler iot technologies |
| CN107894745A (en) * | 2017-11-20 | 2018-04-10 | 广东汇嵘绿色能源股份有限公司 | A kind of boiler energy Internet of Things on-line monitoring system and its monitoring method |
| CN111290357B (en) * | 2020-03-17 | 2023-03-28 | 山东创德软件技术有限公司 | Intelligent fuel management and control system based on Internet of things and big data |
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| EP3402166A1 (en) * | 2017-03-13 | 2018-11-14 | Kiturami Co., Ltd. | CONTROL SYSTEM AND METHOD FOR IoT BOILER |
| CN109386839A (en) * | 2018-09-12 | 2019-02-26 | 福州众联信息科技有限公司 | A kind of online coal-fired monitoring management method and system based on technology of Internet of things |
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