CN111722611A - Intelligent ash removal adjusting system and method based on big data of unit parameters - Google Patents
Intelligent ash removal adjusting system and method based on big data of unit parameters Download PDFInfo
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- CN111722611A CN111722611A CN202010411406.4A CN202010411406A CN111722611A CN 111722611 A CN111722611 A CN 111722611A CN 202010411406 A CN202010411406 A CN 202010411406A CN 111722611 A CN111722611 A CN 111722611A
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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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23J—REMOVAL OR TREATMENT OF COMBUSTION PRODUCTS OR COMBUSTION RESIDUES; FLUES
- F23J1/00—Removing ash, clinker, or slag from combustion chambers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23J—REMOVAL OR TREATMENT OF COMBUSTION PRODUCTS OR COMBUSTION RESIDUES; FLUES
- F23J3/00—Removing solid residues from passages or chambers beyond the fire, e.g. from flues by soot blowers
Abstract
The invention discloses an intelligent ash removal adjusting system based on big data of unit parameters, which comprises a server and a human-computer operation interface, wherein the server comprises a data acquisition module, a data cleaning module, a data analysis processing module, an expert system and a historical data storage system; the server collects the unit parameters, analyzes the relationship between the unit parameters and the ash amount, transmits the analysis result to the ash removal system, counts the operation parameters of the ash removal system equipment, adjusts the self operation state of the ash removal system in real time according to the processed data signals, compares the counted historical data by combining an expert system, evaluates the equipment, predicts the service life of the equipment, reduces the equipment failure rate, and clearly displays the operation state and the failure information through a human-computer operation interface.
Description
Technical Field
The invention relates to the field of boiler ash removal systems, in particular to an ash removal adjusting system based on unit parameter big data.
Background
The ash removal system of the domestic thermal power plant unit is often in an inefficient operation state, the design output of the ash removal system is generally a margin of 20% on the basis of the maximum ash amount, and the control mode of the ash removal system is 'time control material level priority', so that the ash removal system does not work at full output frequently. In addition, the power generation load of the thermal power generating unit is fluctuated, and when the unit is in low load, the coal burning quantity is reduced, and the ash quantity is reduced. The variation in the amount of coal burned not only causes variation in the amount of fly ash, but also affects the physical properties of the fly ash. The load of the peak shaving unit is changed between 50% and 80%. Meanwhile, the coal quality of coal fired in domestic thermal power plants is difficult to guarantee, and the ash amount of the unit can be influenced by the difference of the coal quality. To reduce the energy consumption of the ash removal system, the real-time adjustment is needed according to the ash amount of the unit. The ash removal system is usually not concerned as an auxiliary system of the unit, and the maintenance can be carried out only when the unit is in fault or damaged, at the moment, the unit needs to be stopped, the power generation system cannot normally and orderly run, and even the fault of the ash removal system can pollute the environment.
Therefore, a new technical solution is needed to solve the above problems.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the defects, the invention provides an intelligent ash removal adjusting system based on big data of unit parameters, which can adjust the operation parameters of the ash removal system in time according to the change of the unit parameters, evaluate the service life of ash removal and auxiliary equipment thereof, and achieve the purposes of real-time regulation and control, energy conservation, environmental protection and equipment service life extension.
Meanwhile, the invention also provides an intelligent ash removal adjusting method based on the big data of the unit parameters, and the aims of real-time regulation and control, energy conservation, environmental protection and equipment service life prolonging can be achieved.
The technical scheme is as follows: in order to solve the problems, the invention adopts the following technical scheme:
an intelligent ash removal adjusting system based on big data of unit parameters comprises a server and a human-computer operation interface, wherein the server comprises a data acquisition module, a data cleaning module, a data analysis processing module, an expert system and a historical data storage system;
the data acquisition module is used for collecting data, including unit parameters, fault information, ash removal and auxiliary system operation parameters; the unit parameters comprise unit load, coal quality and coal quantity; the data are uploaded to a data cleaning module, and fault information is displayed on a human-computer operation interface;
the data cleaning module is used for eliminating invalid information in the information uploaded by the data acquisition module and uploading the data to the data analysis processing module;
the data analysis processing module is used for processing the unit parameters into system ash production amount according to the relation between the unit parameters and the ash amount, and transmitting data signals to the ash removal system; the system is also used for counting the operation parameters of ash removal and auxiliary equipment thereof and storing the operation parameters in a historical data storage system;
the relation between the unit parameters and the ash amount is that the unit load is closely related to the ash amount in direct proportion. Under the condition that the unit load is known, the coal quality and the coal quantity of the coal are related to the ash production quantity as follows:
G＝η*W
wherein eta is the ash content ratio determined according to the coal quality of the coal, W is the coal quantity of W t/h, and G is the ash production quantity of G t/h;
the expert system is used for carrying out service life evaluation on the ash removal and auxiliary equipment thereof and displaying an evaluation result on a human-computer operation interface;
and the human-computer operation interface is used for displaying the running state and fault information of the system ash removal system and maintenance prompts.
The data acquisition module, the data cleaning module, the data analysis processing module and the expert system can be connected to a local area network.
And the expert system is used for evaluating the service life of the equipment by combining the comparison of the running states of the ash removal and auxiliary equipment thereof with the statistical result stored in historical data.
Has the advantages that: according to the data of the unit collected by the data collection server, the ash removal system can adjust the operation parameters and the state of the ash removal system in real time according to the data, so that the ash removal system operates in the optimal state, unattended operation of the ash removal system is realized, fault monitoring is realized according to the evaluation of an expert system on the state of the equipment, and the fault occurrence rate of the equipment is reduced.
The invention provides an intelligent ash removal adjustment based on unit parameter big data, which comprises the following steps:
the data acquisition module acquires data, the data are analyzed and processed, then the processed data signals are transmitted to the ash removal system, the ash removal system adjusts operation parameters according to the data signals, the expert system evaluates the state of the equipment by combining the data, and a human-computer operation interface displays system information.
Further, the data acquisition module acquires unit load, coal quality and coal quantity of the unit, the data analysis and processing obtains the ash production amount of the unit at the moment according to the unit load, the coal quality and the relationship between the coal quantity and the ash production amount, then data signals of the ash production amount are transmitted to the ash removal system, the ash removal system automatically adjusts self operation parameters including ash conveying flow, conveying frequency, ash loading time and conveying pressure, and then a human-computer operation interface displays the state at the moment.
Furthermore, the data acquisition module acquires the operation parameters of the ash removal system and the auxiliary equipment thereof, the data analysis processing module performs statistics on the operation parameters, then the expert system predicts the service life of the relevant equipment according to the comparison and analysis of the operation parameters and the statistical operation parameters at the moment, and performs evaluation display and maintenance prompt on the evaluation result in a man-machine operation interface.
Drawings
FIG. 1 is a flow chart of the regulation of the ash removal regulation system of the present invention.
Detailed Description
Please refer to fig. 1, which illustrates an intelligent ash removal adjusting system and an adjusting method based on big data of unit parameters, wherein the ash removal adjusting system comprises a server and a human-computer operation interface, and the server comprises a data acquisition module, a data cleaning module, a data analysis processing module, an expert system and a historical data storage system; the data acquisition module, the data cleaning module, the data analysis processing module and the expert system can be connected to a local area network. The data acquisition module is used for collecting data, including unit parameters, fault information, ash removal and auxiliary system operation parameters, and the fault information is displayed on a human-computer operation interface; the data cleaning module eliminates invalid information in the collected information, and then the data analysis processing module obtains the ash production amount according to the relation between the unit parameters and the ash production amount of the ash removal system; under the condition that the load of the re-machine set is known, the relation between the ash production amount and the coal quality and the coal quantity of the fire coal is G eta W, wherein eta is the ash content ratio determined according to the coal quality of the fire coal, W is the coal quantity W t/h, and G is the ash production amount G t/h; then, processing the load and the ash production amount of the machine set according to big data to obtain a direct proportional relation, obtaining the ash production amount of the system by knowing the parameters of the machine set at the moment, transmitting the obtained ash production amount data signals to the ash removal system, automatically adjusting the running parameters of the ash removal system, including ash conveying flow, conveying frequency, ash loading time and conveying pressure, realizing automatic and real-time adjustment of the ash removal system, and then displaying the state at the moment by a human-computer operation interface; the running parameters of the ash removal and auxiliary system of the data acquisition module are analyzed, processed, counted and stored through data, the running parameters at the moment are compared with the data counted in the early stage by the expert system, the service life of the relevant equipment at the moment is predicted, the evaluation result is evaluated and displayed and the maintenance prompt is carried out on the man-machine operation interface, and the equipment failure occurrence rate is reduced;
the invention is capable of many methods and of being practiced and carried out in various ways, and the foregoing is only a preferred embodiment of the invention. It should be noted that, for those skilled in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be construed as the protection scope of the present invention.
Claims (6)
1. An intelligent ash removal adjusting system based on big data of unit parameters is characterized by comprising a server and a human-computer operation interface, wherein the server comprises a data acquisition module, a data cleaning module, a data analysis processing module, an expert system and a historical data storage system;
the data acquisition module is used for collecting data, including unit parameters, fault information, ash removal and auxiliary system operation parameters; the unit parameters comprise unit load, coal quality and coal quantity; the data are uploaded to a data cleaning module, and fault information is displayed on a human-computer operation interface;
the data cleaning module is used for eliminating invalid information in the information uploaded by the data acquisition module and uploading the data to the data analysis processing module;
the data analysis processing module is used for processing the unit parameters into system ash production amount according to the relation between the unit parameters and the ash amount, and transmitting data signals to the ash removal system; the system is also used for counting the operation parameters of ash removal and auxiliary equipment thereof and storing the operation parameters in a historical data storage system;
the unit parameter and ash amount relationship is that the unit load and the ash amount are in a direct proportional relationship; under the condition that the unit load is known, the coal quality and the coal quantity of the coal are related to the ash production quantity as follows:
G＝η*W
wherein eta is the ash content ratio determined according to the coal quality of the coal, W is the coal quantity of W t/h, and G is the ash production quantity of G t/h;
the expert system is used for carrying out service life evaluation on the ash removal and auxiliary equipment thereof and displaying an evaluation result on a human-computer operation interface;
and the human-computer operation interface is used for displaying the running state and fault information of the system ash removal system and maintenance prompts.
2. The intelligent ash handling system based on big data of unit parameters according to claim 1, wherein the data acquisition module, the data cleaning module, the data analysis processing module and the expert system are connected to a local area network.
3. The intelligent ash handling system based on big data of unit parameters as claimed in claim 1, wherein the expert system evaluates the life of the equipment in combination with the comparison of the running status of ash handling and its auxiliary equipment with the statistical results stored in historical data.
4. An intelligent ash removal adjusting method based on unit parameter big data is characterized by comprising the following steps:
(1) collecting data including unit parameters, fault information, ash removal and auxiliary system operation parameters; the unit parameters comprise unit load, coal quality and coal quantity; the data are uploaded to a data cleaning module, and fault information is displayed on a human-computer operation interface;
(2) the data processing method comprises the steps of obtaining data, wherein the data are obtained by a data acquisition module;
(3) analyzing and processing the data after being eliminated in the step (2) to obtain processed data,
the data acquisition module acquires data, the data are analyzed and processed, then the processed data signals are transmitted to the ash removal system, the ash removal system adjusts operation parameters according to the data signals, the expert system evaluates the state of the equipment by combining the data, and a human-computer operation interface displays system information.
5. The intelligent ash removal adjusting method according to claim 4, wherein the data acquisition module acquires unit load, coal quality and coal quantity of the unit, the data analysis and processing obtains the ash production quantity of the unit at the moment according to the unit load, the coal quality and the relationship between the coal quantity and the ash production quantity, then data signals of the ash production quantity are transmitted to the ash removal system, the ash removal system automatically adjusts the operation parameters of the ash removal system, including ash conveying flow, conveying frequency, ash loading time and conveying pressure, and then the man-machine operation interface displays the state at the moment.
6. The intelligent ash removal adjusting method according to claim 4, wherein the data acquisition module acquires operation parameters of the ash removal system and auxiliary equipment thereof, the data analysis processing module performs statistics on the operation parameters, then the expert system predicts the service life of relevant equipment according to comparison and analysis of the operation parameters and the statistical operation parameters, and performs evaluation display and maintenance prompt on an evaluation result in a man-machine operation interface.
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| CN112607429A (en) * | 2020-12-02 | 2021-04-06 | 华能南京金陵发电有限公司 | Pneumatic ash conveying energy-saving control method for coal-fired power plant |
| CN113042213A (en) * | 2021-03-09 | 2021-06-29 | 浙江菲达环保科技股份有限公司 | Collaborative control method and system for electric dust removal system and ash conveying system |
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