CN114154814A - Adaptive learning hydropower equipment trend analysis and early warning system and method - Google Patents
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Abstract
The invention belongs to the technical field of hydroelectric equipment. A self-adaptive learning hydropower equipment trend analysis and early warning system and method comprises an information acquisition module, an online monitoring module, a network server, an equipment trend analysis module, an alarm module and an information updating module. Through the information of on-line monitoring module monitoring water and electricity equipment to upload the module through information acquisition module and information and transmit information to network server, can carry out the analysis to water and electricity equipment's information through equipment trend analysis module, can judge whether water and electricity equipment breaks down, thereby transmit to controlling the backstage through water and electricity equipment control module control water and electricity equipment through alarm module simultaneously, guarantee to the on-line control of water and electricity equipment, saved manpower and materials.
Description
Technical Field
The invention belongs to the technical field of hydroelectric equipment, and particularly relates to a trend analysis and early warning system and method for self-adaptive learning of hydroelectric equipment.
Background
Hydropower is a clean renewable energy source, is flexible in operation and scheduling, and is an important component of the energy structure in China. The water and electricity equipment comprises public, civil and other water and electricity utilization equipment, and can provide guarantee for daily life of personnel. When the hydroelectric equipment is used, personnel need to monitor the equipment, thereby ensuring the normal use of the hydroelectric equipment.
In the past, the operation and the use of hydropower equipment are usually manually detected, in order to ensure the normal operation of the hydropower equipment and reduce the maintenance difficulty, most hydropower stations in China are provided with simple online monitoring devices at present, the simple online monitoring devices can collect the hydropower consumption and working condition data of the hydropower equipment such as vibration, swing, temperature, voltage, current and the like in real time and give an alarm for out-of-range state quantity, however, most of the traditional online monitoring devices analyze and monitor the occurred fault behavior through an analysis information acquisition device and are basically the idea of passive defense, and after the fault is detected, corresponding emergency measures are taken, so that the time is late, a corresponding trend analysis system does not monitor and compare the operation data of the equipment, the hydropower equipment cannot be monitored online in real time, and the time and the power consumption of personnel are caused when the equipment is used, meanwhile, the system does not have self-learning and self-adaption functions, and the system cannot learn and adapt according to equipment, so that the analysis effect of the system on hydroelectric equipment is poor, and the system is not beneficial to use of personnel.
Disclosure of Invention
The invention overcomes the defects of the technical problems and provides a self-adaptive learning hydroelectric equipment trend analysis and early warning system and method, which can perform trend analysis and state change prediction on hydroelectric equipment, thereby performing automatic fault diagnosis on the faults of the hydroelectric equipment and ensuring the safe and stable operation of a hydroelectric plant.
In order to solve the technical problems, the invention adopts the following technical scheme:
a hydropower equipment trend analysis and early warning system for adaptive learning comprises an information acquisition module, an online monitoring module, a network server, an equipment trend analysis module, an alarm module and an information updating module;
the information acquisition module comprises distributed sensors, the sensors are used for acquiring various state variable data of the hydroelectric equipment, and the various state variable data of the hydroelectric equipment at least comprise hydroelectric consumption data and equipment operation data;
the online monitoring module receives and records various state variable data acquired by the information acquisition module in an interactive mode and analyzes whether the running state of the hydroelectric equipment is normal or not;
the network server is used for receiving the running state data sent by the online monitoring module;
the equipment trend analysis module receives the analysis state variable of the online monitoring module, extracts the state variable which directly or indirectly affects the prediction variable, and performs data analysis and fault mining on the state variable;
the equipment trend analysis module generates a water and electricity trend rule base and a fault early warning base according to the results of data analysis and fault mining;
the equipment trend analysis module analyzes water and electricity consumption data and equipment operation data information sent back by the matching sensor by using the generated water and electricity quantity trend rule base and the fault early warning base, and reports analysis results of the water and electricity consumption data and the equipment operation data to the alarm module;
the alarm module is used for displaying early warning information according to the analysis result of the equipment trend analysis module and controlling the hydropower equipment control module through the control background;
the information updating module is used for updating various state variables in the water and electricity trend rule base and the fault early warning base, analyzing trend contribution of different historical data of the various state variables and enhancing the influence of the latest data on the trend.
As a further improvement of the present invention, the present invention further comprises an information uploading module, wherein the information uploading module is used for uploading data to the network server;
as a further improvement of the invention, the system also comprises an information collecting module which is used for collecting the information of the related hydroelectric equipment.
As a further improvement of the invention, the system also comprises a local storage module and a data reading module, wherein the local storage module is used for storing the hydropower consumption information and the equipment operation data of the hydropower equipment; the local storage module is also used for transmitting data to the data reading module;
as a further improvement of the invention, the network server also comprises a hydropower usage summarizing module, the network server analyzes the equipment operation data through an equipment trend analysis module, and summarizes hydropower usage information through the hydropower usage summarizing module, and the hydropower usage summarizing module is used for generating a hydropower usage summarizing report.
As a further improvement of the invention, the system also comprises a network information storage module, wherein the hydropower usage summarizing module transmits the generated hydropower usage summarizing report to the network information storage for online storage of the hydropower usage summarizing report; meanwhile, the equipment trend analysis module analyzes the equipment operation data to obtain the operation result of the hydroelectric equipment, and transmits the operation result of the hydroelectric equipment to the network information storage module for online storage;
as a further improvement of the invention, the system also comprises an information feedback module, the network information storage module collects a water and electricity consumption collection report and a water and electricity equipment operation result, and simultaneously feeds back information to the network server through the information feedback module, thereby ensuring the information update of the network server.
A hydropower equipment trend analysis and early warning method for adaptive learning comprises the following steps:
s1, acquiring various state variable data of the hydroelectric equipment by using an information acquisition module, wherein the various state variable data of the hydroelectric equipment at least comprise hydroelectric consumption data and equipment operation data;
s2, receiving and recording various state variable data acquired by the information acquisition module in an interactive mode by using the online monitoring module, and analyzing whether the running state of the hydroelectric equipment is normal or not;
step S3, receiving the running state data sent by the online monitoring module through the network server, receiving the analysis state variable of the online monitoring module by using the equipment trend analysis module, extracting the state variable which directly or indirectly affects the prediction variable, carrying out data analysis and fault mining on the state variable, generating a hydropower trend rule base and a fault early warning base according to the results of the data analysis and the fault mining, analyzing the hydropower data and the equipment running data information sent back by the matching sensor by using the generated hydropower trend rule base and the fault early warning base, and reporting the hydropower data and the equipment running data analysis results to the alarm module;
s4, displaying early warning information on the analysis result of the equipment trend analysis module through an alarm module and controlling a control background connected with the hydropower equipment; meanwhile, the information updating module updates various state variables in the water and electricity trend rule base and the fault early warning base, and carries out trend contribution analysis on different historical data of the various state variables, so that the influence of the latest data on the trend is enhanced.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention can perform trend analysis and state change prediction on the hydroelectric equipment, thereby performing automatic fault diagnosis on the faults of the hydroelectric equipment and ensuring the safe and stable operation of a hydroelectric plant. The information of the hydroelectric equipment is monitored through the online monitoring module, the information is transmitted to the network server through the information acquisition module and the information uploading module, the information of the hydroelectric equipment can be analyzed through the equipment trend analysis module, whether the hydroelectric equipment breaks down or not can be judged, meanwhile, the information is transmitted to the control background through the alarm module, so that the hydroelectric equipment is controlled through the hydroelectric equipment control module, the online monitoring of the hydroelectric equipment is ensured, and manpower and material resources are saved;
2. according to the invention, the information collection module is used for collecting the relevant information of the hydroelectric equipment, and the information updating module is used for updating the information of the network server, so that the system is ensured to have self-learning and self-adaptive functions, the system is ensured to have better analysis effect on the hydroelectric equipment, and the use of personnel is ensured.
Drawings
FIG. 1 is a system block diagram of a adaptive learning hydroelectric equipment trend analysis and early warning system of the present invention;
wherein, labeled in the figures: 1. an information acquisition module; 2. an online monitoring module; 3. a network server; 4. an equipment trend analysis module; 5. an alarm module; 6. an information updating module; 7. an information uploading module; 8. an information collection module; 9. a local storage module; 10. a water and electricity consumption summarizing module; 11. a network information storage module; 12. an information feedback module; 13. a hydroelectric equipment control module; 14. a data reading module; 15. operating a background;
Detailed Description
The invention is further described with reference to the following figures and examples. It should be noted that the specific embodiments of the present invention are only for clearly describing the technical solutions, and should not be taken as a limitation to the scope of the present invention.
In the description of the present invention, unless otherwise expressly specified or limited, the terms "disposed," "mounted," "connected," and "secured" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integral to; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The standard parts used by the invention can be purchased from the market, and the special-shaped parts can be customized according to the description and the description of the attached drawings.
Referring to fig. 1, a self-adaptive learning hydroelectric equipment trend analysis and early warning system comprises an information acquisition module 1, an online monitoring module 2, a network server 3, an equipment trend analysis module 4, an alarm module 5 and an information updating module 6;
the information acquisition module 1 comprises distributed sensors, the sensors are used for acquiring various state variable data of the hydroelectric equipment, and the various state variable data of the hydroelectric equipment at least comprise hydroelectric consumption data and equipment operation data;
the online monitoring module 2 receives and records various state variable data acquired by the information acquisition module 1 in an interactive mode and analyzes whether the running state of the hydroelectric equipment is normal or not; the embodiment mainly monitors the operation data of the hydroelectric equipment, and can monitor the water consumption and the electricity consumption of the hydroelectric equipment;
the network server 3 is configured to receive the operation state data sent by the online monitoring module 2;
the equipment trend analysis module 4 receives the analysis state variables of the online monitoring module 2, extracts the state variables which directly or indirectly influence the prediction variables, and performs data analysis and fault mining on the state variables;
the equipment trend analysis module 4 generates a water and electricity quantity trend rule base and a fault early warning base according to the results of data analysis and fault mining;
the equipment trend analysis module 4 analyzes water and electricity consumption data and equipment operation data information sent back by the matching sensor by using the generated water and electricity quantity trend rule base and the fault early warning base, and reports analysis results of the water and electricity consumption data and the equipment operation data to the alarm module 5; promptly network server 3 carries out the analysis through equipment trend analysis module 4 to equipment operating data, the operating condition of analysis water and electricity equipment, if equipment trend analysis module 4 analysis goes out water and electricity equipment trouble and can be with signal transmission to alarm module 5, alarm module 5 is with signal transmission to controlling the backstage, and personnel's accessible is controlled the backstage and is learnt water and electricity equipment trouble, and the accessible is controlled backstage and is controlled water and electricity equipment control module 13, water and electricity equipment control module 13 can control the water and electricity equipment and close.
The alarm module 5 is used for displaying early warning information according to the analysis result of the equipment trend analysis module 4 and controlling the hydropower equipment control module 13 through the control background;
the information updating module 6 is used for updating various state variables in the water and electricity trend rule base and the fault early warning base, analyzing trend contribution of different historical data of the various state variables and enhancing the influence of the latest data on the trend.
Preferably, the embodiment of the present invention further includes an information uploading module 7, where the information uploading module 7 is configured to upload data to the network server 3;
preferably, the embodiment of the present invention further comprises an information collecting module 8 for collecting information of the relevant hydroelectric equipment. The network server 3 can update information of the network server 3 through the information updating module 6, self-learning and self-adaption of the network server 3 are guaranteed, the information updating module 6 collects information of relevant hydroelectric equipment through the information collecting module 8, and the information updating module 6 is guaranteed to update the network server 3.
As a further improvement of the invention, the system also comprises a local storage module 9 and a data reading module 14, wherein the local storage module 9 is used for storing the hydropower consumption information and the equipment operation data of the hydropower equipment; the local storage module 9 is also used for transmitting data to the data reading module 14; the information acquisition module 1 transmits hydropower consumption information and equipment operation data of hydropower equipment to the local storage module 9 for storage, related data can be searched through the local storage module 9, the local storage module 9 transmits the data to the data reading module 14, and personnel can read the information stored in the local storage module 9 through the data reading module 14
Preferably, the embodiment of the invention further comprises a hydropower usage summarizing module 10, the network server 3 analyzes the equipment operation data through the equipment trend analysis module 4, the hydropower usage information is summarized through the hydropower usage summarizing module 10, and the hydropower usage summarizing module 10 is used for generating a hydropower usage summarizing report.
Preferably, the embodiment of the invention further comprises a network information storage module 11, wherein the hydropower usage summarizing module 10 transmits the generated hydropower usage summarizing report to the network information storage, and is used for storing the hydropower usage summarizing report on line; meanwhile, the equipment trend analysis module 4 analyzes the equipment operation data to obtain the operation result of the hydroelectric equipment, and the equipment trend analysis module 4 transmits the operation result of the hydroelectric equipment to the network information storage module 11 for online storage;
preferably, the embodiment of the present invention further includes an information feedback module 12, wherein the network information storage module 11 summarizes the hydropower usage amount report and the operation result of the hydropower device, and simultaneously feeds back the information to the network server 3 through the information feedback module 12, so as to ensure that the information of the network server 3 is updated.
The embodiment of the invention also provides a hydropower equipment trend analysis and early warning method for self-adaptive learning, which comprises the following steps:
s1, acquiring various state variable data of the hydroelectric equipment by using the information acquisition module 1, wherein the various state variable data of the hydroelectric equipment at least comprise hydroelectric consumption data and equipment operation data;
s2, receiving and recording various state variable data acquired by the information acquisition module 1 in an interactive mode by using the online monitoring module 2, and analyzing whether the running state of the hydroelectric equipment is normal or not;
step S3, receiving the running state data sent by the online monitoring module 2 through the network server 3, receiving the analysis state variable of the online monitoring module 2 by using the equipment trend analysis module 4, extracting the state variable which directly or indirectly affects the prediction variable, carrying out data analysis and fault mining on the state variable, generating a hydropower trend rule base and a fault early warning base according to the results of the data analysis and the fault mining, analyzing the hydropower consumption data and the equipment running data information sent back by the matching sensor by using the generated hydropower trend rule base and the fault early warning base, and reporting the hydropower consumption data and the equipment running data analysis results to the alarm module 5;
step S4, displaying early warning information on the analysis result of the equipment trend analysis module 4 through the alarm module 5, and controlling a control background connected with the hydropower equipment; meanwhile, the information updating module 6 updates various state variables in the water and electricity trend rule base and the fault early warning base, and carries out trend contribution analysis on different historical data of the various state variables, so that the influence of the latest data on the trend is enhanced.
The above description is intended to describe in detail the preferred embodiments of the present invention, but the embodiments are not intended to limit the scope of the claims of the present invention, and all equivalent changes and modifications made within the technical spirit of the present invention should fall within the scope of the claims of the present invention.
Claims (8)
1. The utility model provides a water and electricity equipment trend analysis and early warning system of self-adaptation study which characterized in that: the system comprises an information acquisition module (1), an online monitoring module (2), a network server (3), an equipment trend analysis module (4), an alarm module (5) and an information updating module (6);
the information acquisition module (1) comprises distributed sensors, the sensors are used for acquiring various state variable data of the hydroelectric equipment, and the various state variable data of the hydroelectric equipment at least comprise hydroelectric consumption data and equipment operation data;
the online monitoring module (2) receives and records various state variable data acquired by the information acquisition module (1) in an interactive mode and analyzes whether the running state of the hydroelectric equipment is normal or not;
the network server (3) is used for receiving the running state data sent by the online monitoring module (2);
the equipment trend analysis module (4) receives the analysis state variables of the online monitoring module (2), extracts the state variables which directly or indirectly influence the prediction variables, and performs data analysis and fault mining on the state variables;
the equipment trend analysis module (4) generates a water and electricity quantity trend rule base and a fault early warning base according to data analysis and fault mining results;
the equipment trend analysis module (4) analyzes water and electricity consumption data and equipment operation data information sent back by the matching sensor by using the generated water and electricity quantity trend rule base and the fault early warning base, and reports the analysis results of the water and electricity consumption data and the equipment operation data to the alarm module (5);
the alarm module (5) is used for displaying early warning information according to the analysis result of the equipment trend analysis module (4) and controlling the hydropower equipment control module (13) through the control background;
the information updating module (6) is used for updating various state variables in the water and electricity quantity trend rule base and the fault early warning base, analyzing trend contribution of different historical data of the various state variables and enhancing the influence of the latest data on the trend.
2. The adaptive learning hydroelectric equipment trend analysis and early warning system of claim 1, wherein: the system also comprises an information uploading module (7), wherein the information uploading module (7) is used for uploading data to the network server (3).
3. The adaptive learning hydroelectric equipment trend analysis and early warning system of claim 1, wherein: the system also comprises an information collection module (8) which is used for collecting information of relevant hydroelectric equipment.
4. The adaptive learning hydroelectric equipment trend analysis and early warning system of claim 1, wherein: the system also comprises a local storage module (9) and a data reading module (14), wherein the local storage module (9) is used for storing the hydropower consumption information and the equipment operation data of the hydropower equipment; the local storage module (9) is also used for transmitting data to the data reading module (14).
5. The adaptive learning hydroelectric equipment trend analysis and early warning system of claim 1, wherein: still include water and electricity quantity and summarize module (10), network server (3) carry out the analysis to equipment operation data through equipment trend analysis module (4), pass through water and electricity quantity information water and electricity quantity summarization module (10) are summarized, water and electricity quantity summarization module (10) are used for generating water and electricity quantity and summarize the report.
6. The adaptive learning hydroelectric equipment trend analysis and early warning system of claim 5, wherein: the hydropower consumption summarizing module (10) transmits the generated hydropower consumption summarizing report to the network information storage for online storage of the hydropower consumption summarizing report; meanwhile, the equipment trend analysis module (4) analyzes the equipment operation data to obtain the operation result of the hydroelectric equipment, and the equipment trend analysis module (4) transmits the operation result of the hydroelectric equipment to the network information storage module (11) for on-line storage.
7. The adaptive learning hydroelectric equipment trend analysis and early warning system of claim 5, wherein: still include information feedback module (12), network information storage module (11) summarize report and the water and electricity equipment operation result of gathering with the water and electricity quantity, simultaneously through information feedback module (12) feeds back information to network server (3) to guarantee network server (3)'s information update.
8. A hydropower equipment trend analysis and early warning method for adaptive learning is characterized by comprising the following steps:
s1, acquiring various state variable data of the hydroelectric equipment by using the information acquisition module (1), wherein the various state variable data of the hydroelectric equipment at least comprise hydroelectric consumption data and equipment operation data;
s2, receiving and recording various state variable data acquired by the information acquisition module (1) in an interactive mode by using the online monitoring module (2) and analyzing whether the running state of the hydroelectric equipment is normal or not;
step S3, receiving the running state data sent by the online monitoring module (2) through the network server (3), receiving the analysis state variable of the online monitoring module (2) by using the equipment trend analysis module (4), extracting the state variable which directly or indirectly affects the predictive variable, carrying out data analysis and fault mining on the state variable, generating a water and electricity trend rule base and a fault early warning base according to the results of the data analysis and the fault mining, analyzing the water and electricity consumption data and the equipment running data information sent back by the matching sensor by using the generated water and electricity trend rule base and the fault early warning base, and reporting the water and electricity consumption data and the equipment running data analysis results to the alarm module (5);
s4, displaying early warning information on the analysis result of the equipment trend analysis module (4) through an alarm module (5) and controlling a control background connected with the hydropower equipment; meanwhile, the information updating module (6) updates various state variables in the water and electricity trend rule base and the fault early warning base, and carries out trend contribution analysis on different historical data of the various state variables, so that the influence of the latest data on the trend is enhanced.
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