Sound wave monitoring system and method for auxiliary monitoring of thermal power plant

Abstract

The invention relates to the field of thermal power plants, and discloses a sound wave monitoring system and method for auxiliary monitoring of a thermal power plant, and the system comprises an intelligent terminal which is a sound wave collection device which is fixedly deployed in situ, is used for collecting the sound wave size and the frequency size, and is provided with an alarm lamp and a sound alarm; the central server and the knowledge base are in communication connection with the data acquisition gateway and are used for receiving and storing the data packets; the central server and knowledge base comprises a database; a rule engine; a trend analysis module; the automatic report generation module is used for automatically generating a standardized operation report according to a preset template; and the user interface is a Web side or a PC client side and is used for visually displaying the real-time data, the trend chart and the statistical analysis report. According to the system, multiple advanced technologies are integrated, the operation safety and efficiency of the thermal power plant are remarkably improved, data collected by the intelligent terminal are efficiently transmitted to the central server, and the real-time performance and accuracy of information are ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of thermal power plants, in particular to a sound wave monitoring system and method for auxiliary monitoring of thermal power plants. BACKGROUND

[0002] Now the normal noise of the on-site equipment of the thermal power plant is miscellaneous and there is no effective method of monitoring, comparison and analysis to determine whether the noise of the abnormal equipment in the area exists.

[0003] Defects of the prior art:

[0004] 1. Discrimination: The abnormal noise of the equipment depends on the experience of the person to distinguish, and there is a lot of basic noise on site. It is difficult to determine whether the equipment is in a normal operating state through abnormal changes in sound from various normal operating sounds.

[0005] 2. Hysteresis: At present, the large-scale site is highly automated, and there is no long-term on-site staff. The sound emitted by the abnormal equipment in the gap between two inspections cannot be immediately discovered by the operating personnel and given correct disposal, which will lead to further expansion of the abnormality to failure or even accident.

[0006] 3. Accuracy: After hearing the abnormal sound, the operating personnel cannot accurately find the source of the abnormal sound in the complex environment on site.

[0007] The existing various inspection methods for the production site often cannot deeply meet the needs of the thermal power plant site to determine by noise, and cannot fundamentally solve the above problems. SUMMARY

[0008] The purpose of the present application is to solve the problems of the prior art, and provide a sound wave monitoring system and method for auxiliary monitoring of thermal power plants.

[0009] The present application is realized by the following technical solutions:

[0010] A sound wave monitoring system and method for auxiliary monitoring of thermal power plants, comprising an intelligent terminal, a sound wave collector, a central server and a knowledge base.

[0011] The intelligent terminal is a fixed on-site sound wave size and frequency size collection device with an alarm lamp and sound, and includes a terminal position ID for distinguishing the position of the terminal.

[0012] The data collection gateway is deployed in the control room and is built-in with multiple communication protocols (such as RS232, USB, etc.), which is used to automatically connect the on-site intelligent terminal, actively capture the test result data generated by the terminal, and bind the corresponding place ID. The complete data packet with address ID is uploaded to the central server.

[0013] The central server and knowledge base are the "brain" of the system, including a database: storing all acoustic wave information, raw data, operation log.

[0014] The rule engine has threshold rules of national standards, industry standards and internal procedures of power plants.

[0015] The trend analysis module is based on historical data to analyze key parameters (such as the size of the acoustic wave, the size of the acoustic wave frequency) and process the values that exceed the standard, issue an alarm and give the noise change area.

[0016] The automatic report generation module automatically generates standardized daily, weekly and monthly reports according to the preset template.

[0017] The user interface is a web or PC client that can visually display real-time data, trend charts and statistical analysis reports.

[0018] Compared with the prior art, the beneficial effects of the present application are:

[0019] 1. Full-process digitization, eliminating human errors: from field collection to report, data is entered once and shared throughout the process, avoiding errors that may be caused by multiple transcriptions and ensuring data integrity and traceability.

[0020] 2. Revolutionary improvement in work efficiency: acoustic wave automatic collection is arranged in a three-dimensional grid, which quickly gives the accurate area of noise change by comparing with raw data (5-minute and same working condition data can be used), automatically generates an alarm, and the operator can compare the raw data with the real-time sound on site to quickly make a preliminary abnormality judgment.

[0021] 3. Realize predictive warning: through acoustic wave analysis, a "yellow" warning can be issued before personnel reach the area, prompting attention to the acoustic wave change trend in the area, gaining valuable time for safety and ensuring personal safety from the source.

[0022] The system exhibits high intelligence and integration characteristics in practical application. The design of the intelligent terminal fully considers the use requirements in the complex environment of thermal power plants. The acoustic wave collection device has high sensitivity and anti-interference ability, can accurately capture the acoustic wave signals generated during equipment operation, and can perform preliminary processing on the data through the built-in algorithm to ensure the quality of the uploaded data. The data collection gateway, as the key node connecting the intelligent terminal and the central server, not only supports multiple communication protocols to adapt to the access requirements of different devices, but also has data caching function, which can temporarily store data in case of network exception, and automatically supplement the data after the network is restored, thereby ensuring the continuity of data transmission. The central server and knowledge base further improve the intelligence level of the system. The rule engine can dynamically adjust the threshold setting according to the real-time updated standard, so that the system always maintains the best monitoring state. Attached Figure Description

[0023] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Please see Figure 1 The present invention provides a technical solution:

[0026] A sound wave monitoring system and method for auxiliary monitoring of thermal power plants includes: an intelligent terminal, which is a locally fixed sound wave acquisition device for acquiring sound wave magnitude and frequency, and is equipped with an alarm light and a sound alarm.

[0027] The smart terminal has a built-in unique terminal location ID, which is used to identify its installation location;

[0028] The data acquisition gateway, deployed in the central control room of the thermal power plant, has multiple built-in communication protocols for automatically connecting to the intelligent terminal, actively capturing the test result data generated by it, binding the data with the corresponding terminal location ID, assembling it into a complete data packet for uploading;

[0029] A central server and knowledge base are communicatively connected to the data acquisition gateway and are used to receive and store the data packets.

[0030] The central server and knowledge base include: a database for storing acoustic wave information, raw data, and system operation logs;

[0031] The rules engine has built-in sound wave threshold rules based on national standards, industry standards and power plant internal regulations, which are used for data comparison and limit judgment.

[0032] The trend analysis module is used to perform trend analysis on the magnitude and frequency of sound waves based on historical data, issue alarms for data exceeding the standard, and identify areas of noise change.

[0033] The automatic report generation module is used to automatically generate standardized operation reports based on preset templates; the user interface is a web client or PC client used to visually display real-time data, trend charts and statistical analysis reports.

[0034] The data acquisition gateway supports communication protocols including RS232 and USB.

[0035] The rule engine also supports the custom setting and updating of threshold rules.

[0036] The report types generated by the automatic report generation module include daily reports, weekly reports, and monthly reports.

[0037] Operation steps:

[0038] Acquire sound wave data during the operation of power plant equipment through intelligent terminals;

[0039] Through the data acquisition gateway, acquire the data collected by the intelligent terminal, bind the terminal location ID, and upload to the central server;

[0040] Through the rule engine in the central server, compare the sound wave data with the threshold value, and determine whether it is out of limit;

[0041] Through the trend analysis module, analyze the historical sound wave data, identify abnormal changes, and issue an alarm;

[0042] Through the automatic report generation module, generate standardized monitoring reports regularly;

[0043] Through the user interface, real-time display of sound wave data, alarm information, and analysis reports.

[0044] After issuing an alarm, the system can alarm and prompt on site through the alarm light and sound alarm of the intelligent terminal, ensuring that the on-site staff can timely detect abnormal conditions. At the same time, the trend analysis module further identifies the trend and abnormal area of noise change through time series analysis of the historical data of sound wave size and frequency size, providing accurate data support for subsequent processing. In addition, the user interface of the system supports multi-dimensional data display, including real-time sound wave data, historical trend charts, and statistical analysis reports, making it convenient for operation personnel to fully grasp the equipment operation status. Through such comprehensive monitoring and analysis means, not only the efficiency of power plant equipment anomaly detection is improved, but also the prediction ability of potential risks is significantly enhanced, thereby effectively avoiding the expansion of faults or accidents.

[0045] The system has high practical value in actual application. The data collected by the intelligent terminal is transmitted to the central server through the data acquisition gateway, the whole process is efficient and stable, and the real-time and accuracy of information transmission are ensured. The rule engine compares and analyzes the data according to the preset threshold rule, can quickly judge whether there is an abnormal situation, if the data is found to be excessive, the trend analysis module will further dig into the historical data, identify the specific area of noise change, and trigger the alarm mechanism. At the same time, the automatic report generation module regularly outputs standardized reports according to the preset template, providing comprehensive data support for managers. The design of the user interface focuses on operation convenience. Through intuitive charts and clear data display, the running personnel can quickly master the equipment running state and potential risks, so as to take targeted measures. This multi-level and multi-dimensional monitoring and analysis method not only greatly improves the efficiency of abnormal detection of power plant equipment, but also provides a strong guarantee for safety production.

[0046] The specific embodiments are only an explanation of the present application, not a limitation of the present application. Those skilled in the art can make modifications to the embodiments without creative contribution after reading the specification, as long as the modifications are within the scope of the claims of the present application.

Claims

1. A sound wave monitoring system and method for auxiliary monitoring of a thermal power plant, characterized by, Comprise: Intelligent terminal, for on-site fixed deployment of sound wave acquisition device, for collecting sound wave size and frequency size, and provided with alarm lamp and sound alarm; The intelligent terminal is built-in unique terminal position ID, for identifying its installation position; Data acquisition gateway, deployed in the central control room of thermal power plant, built-in multiple communication protocols, for automatically connecting the intelligent terminal, actively grabbing the test result data generated by it, and binding the data with the corresponding terminal position ID, assembling into complete data package for uploading; Central server and knowledge base, in communication connection with the data acquisition gateway, for receiving and storing the data package; The central server and knowledge base comprise: database, for storing sound wave information, raw data and system operation log; Rule engine, built-in sound wave threshold rules set based on national standards, industry standards and internal regulations of power plant, for data comparison and out-of-limit judgment; Trend analysis module, for trend analysis of sound wave size and frequency size based on historical data, issuing alarm for over-standard data and identifying noise change area; Automatic report generation module, for automatically generating standardized operation report according to preset template; 2. The acoustic monitoring system and method for auxiliary monitoring of a fossil power plant according to claim 1, characterized in that User interface, for visual display of real-time data, trend chart and statistical analysis report.

3. The acoustic monitoring system and method for auxiliary monitoring of a fossil power plant of claim 1, wherein, The communication protocols supported by the data acquisition gateway include RS232 and USB.

4. The acoustic monitoring system and method for auxiliary monitoring of a fossil power plant of claim 1, wherein, The rule engine also supports custom setting and updating of threshold rules.

5. A sound wave monitoring system and method for auxiliary monitoring of a thermal power plant, implemented based on the system of any one of claims 1-4, characterized by, The report types generated by the automatic report generation module include daily report, weekly report and monthly report. Comprise the following steps: Collect sound wave data in the operation process of thermal power plant equipment through intelligent terminal; Through the data acquisition gateway, the data collected by the intelligent terminal is obtained, and the terminal position ID is bound and uploaded to the central server; Through the rule engine in the central server, threshold comparison of sound wave data is carried out to judge whether it is out of limit; Through the trend analysis module, trend analysis is carried out on historical sound wave data to identify abnormal changes and issue alarm; Through the automatic report generation module, standardized monitoring report is generated regularly; 6. The acoustic monitoring system and method for auxiliary monitoring of a fossil power plant of claim 5, wherein, Through the user interface, sound wave data, alarm information and analysis report are displayed in real time.

7. The acoustic monitoring system and method for auxiliary monitoring of a fossil power plant of claim 5, wherein, After issuing the alarm, the system carries out on-site alarm prompt through the alarm lamp and sound alarm of the intelligent terminal. The trend analysis module identifies noise change trend and abnormal area by time series analysis on historical data of sound wave size and frequency size.

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