Method, system and computer readable medium for adjusting pH value of desulfurization slurry supply system based on big data
Technical Field
The invention relates to the technical field of energy conservation and environmental protection of power plants, in particular to a method and a system for regulating the pH value of a desulfurization slurry supply system based on big data and a computer readable medium.
Background
At present, the promotion of deep fusion of Internet, big data, artificial intelligence and entity economy is proposed, and new growing points are cultivated and new kinetic energy is formed in the fields of innovation introduction, green low carbon, shared economy and the like; advanced technologies such as Internet, big data, artificial intelligence and the like are deeply fused with production, manufacture, operation and maintenance management of traditional environmental protection equipment, and company transformation is promoted; an environmental protection equipment expert decision system is established, and through artificial intelligent learning of production real-time data and historical data, the equipment fine operation optimization guidance is realized by means of real-time theoretical calculation and historical optimization, and environmental protection optimization and economic maximization are ensured.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art.
Disclosure of Invention
The invention aims to provide a method, a system and a computer readable medium for regulating the pH value of a desulfurization slurry supply system based on big data, thereby overcoming the defects in the prior art.
The invention provides a method for regulating the pH value of a desulfurization slurry supply system based on big data, which comprises the following steps:
performing operation monitoring and optimization monitoring on slurry supply equipment of all units in the power plant to acquire operation data of the slurry supply equipment, wherein the operation data of the slurry supply equipment comprise; the number of slurry supply pumps, the number of limestone slurry pumps, the number of AFT rotational flow pumps, the recommended interval minutes, the pH value of gypsum slurry, the running condition of limestone slurry pumps and the running condition of AFT rotational flow pumps;
analyzing the logic relation among the data based on the operation data of the slurry supply equipment collected in real time and combining the historical operation data of the slurry supply equipment, and giving out the optimal operation and start-stop scheme of the limestone slurry pump through analysis and calculation of big data means, wherein the historical operation data of the slurry supply equipment comprises the historical data of the number of slurry pumps, the historical data of the number of the limestone slurry pumps, the historical data of the number of AFT rotational flow pumps, the historical data of the suggested interval minutes, the historical data of the pH value of gypsum slurry, the historical data of the operation condition of the limestone slurry pump and the historical data of the operation condition of the AFT rotational flow pump;
wherein, lime stone slurry pump optimal operation and start-stop scheme include:
when the pH value of the gypsum slurry is smaller than the pH value of the limestone slurry pump, the slurry supply pump is recommended to be started;
when the pH value of the gypsum slurry is larger than the pH value of the limestone slurry stopping pump, the slurry supplying pump is recommended to be stopped;
when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry supply pump.
Preferably, in the above technical solution, the method includes the following steps: when the AFT tower circulation pump is on and the AFT tower slurry pump is not on, and when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry pump.
Preferably, in the above technical solution, the method includes the following steps: when the AFT tower circulation pump is on and the AFT tower slurry pump is on, and when the AFT tower slurry pH is higher than the pH at which the limestone slurry pump is stopped, stopping the AFT slurry pump is recommended.
The invention also provides a system for regulating the pH value of the desulfurization slurry supply system based on big data, which comprises:
the system comprises a unit for performing operation monitoring and optimization monitoring on slurry supply equipment of all units in a power plant to acquire operation data of the slurry supply equipment, wherein the operation data of the slurry supply equipment comprise; the number of slurry supply pumps, the number of limestone slurry pumps, the number of AFT rotational flow pumps, the recommended interval minutes, the pH value of gypsum slurry, the running condition of limestone slurry pumps and the running condition of AFT rotational flow pumps;
the system comprises a unit for analyzing the logic relation among all the data based on the operation data of the slurry supply equipment collected in real time and combining the historical operation data of the slurry supply equipment, and giving out the optimal operation and start-stop scheme of the limestone slurry pump through analysis and calculation of big data means, wherein the historical operation data of the slurry supply equipment comprises the historical data of the number of slurry supply pumps, the historical data of the number of limestone slurry pumps, the historical data of the number of AFT rotational flow pumps, the historical data of suggested interval minutes, the historical data of the pH value of gypsum slurry, the historical data of the operation condition of the limestone slurry pumps and the historical data of the operation condition of the AFT rotational flow pumps;
wherein, lime stone slurry pump optimal operation and start-stop scheme include:
when the pH value of the gypsum slurry is smaller than the pH value of the limestone slurry pump, the slurry supply pump is recommended to be started;
when the pH value of the gypsum slurry is larger than the pH value of the limestone slurry stopping pump, the slurry supplying pump is recommended to be stopped;
when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry supply pump.
Preferably, in the above technical solution, when the pH value of the gypsum slurry is smaller than the pH value of the starting limestone slurry pump, it is recommended to start the slurry pump specifically as follows: when the AFT tower circulation pump is on and the AFT tower slurry pump is not on, and when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry pump.
Preferably, in the above technical solution, when the pH value of the gypsum slurry is greater than the pH value of the lime slurry pump stopped, stopping the slurry pump is recommended to be specifically: when the AFT tower circulation pump is on and the AFT tower slurry pump is on, and when the AFT tower slurry pH is higher than the pH at which the limestone slurry pump is stopped, stopping the AFT slurry pump is recommended.
The present invention provides a computer readable storage medium storing instructions for a big data based desulfurization slurry system pH adjustment system, the instructions when executed by a processor being capable of:
performing operation monitoring and optimization monitoring on slurry supply equipment of all units in the power plant to acquire operation data of the slurry supply equipment, wherein the operation data of the slurry supply equipment comprise; the number of slurry supply pumps, the number of limestone slurry pumps, the number of AFT rotational flow pumps, the recommended interval minutes, the pH value of gypsum slurry, the running condition of limestone slurry pumps and the running condition of AFT rotational flow pumps;
analyzing the logic relation among the data based on the operation data of the slurry supply equipment collected in real time and combining the historical operation data of the slurry supply equipment, and giving out the optimal operation and start-stop scheme of the limestone slurry pump through analysis and calculation of big data means, wherein the historical operation data of the slurry supply equipment comprises the historical data of the number of slurry pumps, the historical data of the number of the limestone slurry pumps, the historical data of the number of AFT rotational flow pumps, the historical data of the suggested interval minutes, the historical data of the pH value of gypsum slurry, the historical data of the operation condition of the limestone slurry pump and the historical data of the operation condition of the AFT rotational flow pump;
wherein, lime stone slurry pump optimal operation and start-stop scheme include:
when the pH value of the gypsum slurry is smaller than the pH value of the limestone slurry pump, the slurry supply pump is recommended to be started;
when the pH value of the gypsum slurry is larger than the pH value of the limestone slurry stopping pump, the slurry supplying pump is recommended to be stopped;
when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry supply pump.
Preferably, in the above technical solution, the method includes the following steps: when the pH value of the gypsum slurry is smaller than the pH value of the limestone slurry pump, the proposal of starting the slurry supply pump is specifically as follows: when the AFT tower circulation pump is on and the AFT tower slurry pump is not on, and when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry pump.
Preferably, in the above technical solution, the method includes the following steps: when the pH value of the gypsum slurry is larger than the pH value of the limestone slurry pump, the proposal of stopping the slurry pump is specifically as follows: when the AFT tower circulation pump is on and the AFT tower slurry pump is on, and when the AFT tower slurry pH is higher than the pH at which the limestone slurry pump is stopped, stopping the AFT slurry pump is recommended.
Compared with the prior art, the invention has the following beneficial effects: based on big data technologies such as machine learning, cluster analysis, track tracking and the like, the on-line operation engineers under various working conditions perform machine autonomous learning and real-time monitoring on the real-time operation record of the equipment and the running state of the equipment, so that the normal running rule of the equipment is generalized, and the on-line operation engineers are provided with the running optimization guidance suggestion of the refined equipment of the environmental protection island equipment by combining history optimization with theoretical optimal calculation; and realizing machine learning auxiliary decision. And according to the measuring points such as the pH of gypsum slurry in the desulfurization slurry supply system, the current of a limestone slurry pump and the like and the real-time visual function of the running state of each operation device, the whole supervision is carried out on the running condition of the device, and judgment support is provided for operators. According to the optimization direction of the pH value, a slurry supply pump guiding suggestion is given; giving a slurry supply regulating valve opening instruction suggestion according to the pH value; on the premise of ensuring the environmental protection requirement, the energy saving and consumption reduction effects and the maximization of the operation economy are achieved. The emission of environmental protection indexes is intelligently monitored, so that national emission requirements are met, and social responsibility values are realized; through optimizing operation, energy conservation and consumption reduction are realized, and reasonable development and utilization of social resources are promoted. The environment-friendly data operation optimization guidance platform realizes the fine operation by optimizing the operation capacity of equipment, and achieves the national environment-friendly requirements and the enterprise operation energy conservation and consumption reduction.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a method flow diagram of a method for pH adjustment of a big data based desulfurization slurry supply system in accordance with an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
FIG. 1 is a method flow diagram of a method for pH adjustment of a big data based desulfurization slurry supply system in accordance with an embodiment of the present invention. As shown, the method of the present invention comprises:
step 101: performing operation monitoring and optimization monitoring on slurry supply equipment of all units in the power plant to acquire operation data of the slurry supply equipment, wherein the operation data of the slurry supply equipment comprise; the number of slurry supply pumps, the number of limestone slurry pumps, the number of AFT rotational flow pumps, the recommended interval minutes, the pH value of gypsum slurry, the running condition of limestone slurry pumps and the running condition of AFT rotational flow pumps;
step 102: analyzing the logic relation among the data based on the operation data of the slurry supply equipment collected in real time and combining the historical operation data of the slurry supply equipment, and giving out the optimal operation and start-stop scheme of the limestone slurry pump through analysis and calculation of big data means, wherein the historical operation data of the slurry supply equipment comprises the historical data of the number of slurry pumps, the historical data of the number of the limestone slurry pumps, the historical data of the number of AFT rotational flow pumps, the historical data of the suggested interval minutes, the historical data of the pH value of gypsum slurry, the historical data of the operation condition of the limestone slurry pump and the historical data of the operation condition of the AFT rotational flow pump;
wherein, lime stone slurry pump optimal operation and start-stop scheme include:
when the pH value of the gypsum slurry is smaller than the pH value of the limestone slurry pump, the slurry supply pump is recommended to be started;
when the pH value of the gypsum slurry is larger than the pH value of the limestone slurry stopping pump, the slurry supplying pump is recommended to be stopped;
when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry supply pump.
Preferably, in the above technical solution, the method includes the following steps: when the AFT tower circulation pump is on and the AFT tower slurry pump is not on, and when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry pump.
Preferably, in the above technical solution, the method includes the following steps: when the AFT tower circulation pump is on and the AFT tower slurry pump is on, and when the AFT tower slurry pH is higher than the pH at which the limestone slurry pump is stopped, stopping the AFT slurry pump is recommended.
The invention also provides a system for regulating the pH value of the desulfurization slurry supply system based on big data, which comprises:
the system comprises a unit for performing operation monitoring and optimization monitoring on slurry supply equipment of all units in a power plant to acquire operation data of the slurry supply equipment, wherein the operation data of the slurry supply equipment comprise; the number of slurry supply pumps, the number of limestone slurry pumps, the number of AFT rotational flow pumps, the recommended interval minutes, the pH value of gypsum slurry, the running condition of limestone slurry pumps and the running condition of AFT rotational flow pumps;
the system comprises a unit for analyzing the logic relation among all the data based on the operation data of the slurry supply equipment collected in real time and combining the historical operation data of the slurry supply equipment, and giving out the optimal operation and start-stop scheme of the limestone slurry pump through analysis and calculation of big data means, wherein the historical operation data of the slurry supply equipment comprises the historical data of the number of slurry supply pumps, the historical data of the number of limestone slurry pumps, the historical data of the number of AFT rotational flow pumps, the historical data of suggested interval minutes, the historical data of the pH value of gypsum slurry, the historical data of the operation condition of the limestone slurry pumps and the historical data of the operation condition of the AFT rotational flow pumps;
wherein, lime stone slurry pump optimal operation and start-stop scheme include:
when the pH value of the gypsum slurry is smaller than the pH value of the limestone slurry pump, the slurry supply pump is recommended to be started;
when the pH value of the gypsum slurry is larger than the pH value of the limestone slurry stopping pump, the slurry supplying pump is recommended to be stopped;
when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry supply pump. The plateau curve shows the fluctuation of the key measurement points or data before the current 2 hours. And according to the parameters of the background configuration, the algorithm model is operated to obtain the highest 5 groups of suggested tuning schemes.
Preferably, in the above technical solution, when the pH value of the gypsum slurry is smaller than the pH value of the starting limestone slurry pump, it is recommended to start the slurry pump specifically as follows: when the AFT tower circulation pump is on and the AFT tower slurry pump is not on, and when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry pump.
Preferably, in the above technical solution, when the pH value of the gypsum slurry is greater than the pH value of the lime slurry pump stopped, stopping the slurry pump is recommended to be specifically: when the AFT tower circulation pump is on and the AFT tower slurry pump is on, and when the AFT tower slurry pH is higher than the pH at which the limestone slurry pump is stopped, stopping the AFT slurry pump is recommended.
The present invention provides a computer readable storage medium storing instructions for a big data based desulfurization slurry system pH adjustment system, the instructions when executed by a processor being capable of:
performing operation monitoring and optimization monitoring on slurry supply equipment of all units in the power plant to acquire operation data of the slurry supply equipment, wherein the operation data of the slurry supply equipment comprise; the number of slurry supply pumps, the number of limestone slurry pumps, the number of AFT rotational flow pumps, the recommended interval minutes, the pH value of gypsum slurry, the running condition of limestone slurry pumps and the running condition of AFT rotational flow pumps;
analyzing the logic relation among the data based on the operation data of the slurry supply equipment collected in real time and combining the historical operation data of the slurry supply equipment, and giving out the optimal operation and start-stop scheme of the limestone slurry pump through analysis and calculation of big data means, wherein the historical operation data of the slurry supply equipment comprises the historical data of the number of slurry pumps, the historical data of the number of the limestone slurry pumps, the historical data of the number of AFT rotational flow pumps, the historical data of the suggested interval minutes, the historical data of the pH value of gypsum slurry, the historical data of the operation condition of the limestone slurry pump and the historical data of the operation condition of the AFT rotational flow pump;
wherein, lime stone slurry pump optimal operation and start-stop scheme include:
when the pH value of the gypsum slurry is smaller than the pH value of the limestone slurry pump, the slurry supply pump is recommended to be started;
when the pH value of the gypsum slurry is larger than the pH value of the limestone slurry stopping pump, the slurry supplying pump is recommended to be stopped;
when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry supply pump.
Preferably, in the above technical solution, the method includes the following steps: when the pH value of the gypsum slurry is smaller than the pH value of the limestone slurry pump, the proposal of starting the slurry supply pump is specifically as follows: when the AFT tower circulation pump is on and the AFT tower slurry pump is not on, and when the AFT tower slurry pH is less than the pH at which the limestone slurry pump is started, it is recommended to start the AFT slurry pump.
Preferably, in the above technical solution, the method includes the following steps: when the pH value of the gypsum slurry is larger than the pH value of the limestone slurry pump, the proposal of stopping the slurry pump is specifically as follows: when the AFT tower circulation pump is on and the AFT tower slurry pump is on, and when the AFT tower slurry pH is higher than the pH at which the limestone slurry pump is stopped, stopping the AFT slurry pump is recommended.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.