A boiler water shortage protection system and method based on steam temperature

Abstract

The invention discloses a boiler water shortage protection system and method based on steam temperature, comprising: a data acquisition module, used for acquiring steam temperature data, water level electrode data and float water level data of the boiler, and transmitting the data to a data preprocessing module; the data preprocessing module, used for preprocessing the acquired steam temperature data, water level electrode data and float water level data, including noise removal and smoothing; a data synchronization module, used for synchronizing the steam temperature data, water level electrode data and float water level data; a data comparison module, used for comparing the steam temperature data, water level electrode data and float water level data, and judging whether the boiler water level is normal; the boiler water shortage protection system based on steam temperature adopts multiple data sources to perform boiler water shortage protection, and performs comprehensive judgment after synchronizing, comparing and processing the three data sources, thereby improving the accuracy of water shortage protection and reducing missed detection and false detection rates.

Description

Technical Field

[0001] The invention relates to a boiler water shortage protection system and method based on steam temperature. Background Art

[0002] Boiler water shortage protection refers to a protective measure that automatically takes measures to shut down or alarm when the water level is lower than the specified safe water level or the steam temperature is abnormal during boiler operation, and prevents the boiler from exploding, impacting and other accidents due to water shortage.

[0003] Boiler water shortage means that the amount of water inside the boiler is insufficient, which causes the heating surface of the boiler to overheat, which may cause dangers such as pipe explosion and equipment damage. When the boiler is in a water shortage state, the pressure inside the boiler will rise rapidly, which may cause serious accidents such as boiler explosion and pipe rupture. Therefore, in order to ensure the safety of the boiler and personnel, it is necessary to set up boiler water shortage protection.

[0004] Most existing solutions use a single data source to perform boiler water shortage protection. Once the data source fails to detect or misdetects, the water shortage protection will fail. Summary of the invention

[0005] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a boiler water shortage protection system and method based on steam temperature, which adopts multiple data sources for boiler water shortage protection, synchronizes, compares and processes the three data sources for comprehensive judgment, thereby improving the accuracy of water shortage protection and reducing the missed detection and false detection rates.

[0006] The technical solution adopted by the present invention to solve its technical problem is:

[0007] A boiler water shortage protection system based on steam temperature, comprising:

[0008] The data acquisition module is used to collect the steam temperature data, water level electrode data and float water level data of the boiler, and transmit the data to the data preprocessing module;

[0009] Data preprocessing module, used to preprocess the collected steam temperature data, water level electrode data and float water level data, including noise removal and smoothing;

[0010] Data synchronization module, used to synchronize steam temperature data, water level electrode data and float water level data to ensure the time consistency of the three data;

[0011] The data comparison module is used to compare the steam temperature data, the water level electrode data and the float water level data to determine whether the boiler water level is normal;

[0012] Water shortage protection module, when the steam temperature data, water level electrode data and float water level data are consistent, water shortage protection is directly performed based on the water level data; when the water level electrode data and the float water level data are inconsistent, abnormality detection processing is performed, and water shortage protection is performed based on water level data without abnormalities.

[0013] Preferably, the data acquisition module includes a temperature sensor for detecting steam temperature, an electrode device for measuring boiler water level, a float water level gauge for measuring boiler water level, and a water level calculator for processing electrical signals transmitted by the temperature sensor, water level electrode and float water level gauge, converting the electrical signals into digital signals and transmitting them to the data preprocessing module.

[0014] Preferably, the data preprocessing module includes a filter for removing high-frequency noise in the electrical signals transmitted by the temperature sensor, water level electrode and float water level gauge, a smoother for smoothing the denoised data, and a data verification module for verifying and correcting the preprocessed data.

[0015] Preferably, the data synchronization module includes a time synchronization module for ensuring the temporal consistency of data collected by the temperature sensor, water level electrode and float water level meter, and a data alignment module for aligning the data collected by the temperature sensor, water level electrode and float water level meter.

[0016] Preferably, the data comparison module includes a data reading module for reading data collected by the temperature sensor, water level electrode and float water level gauge from the data storage module, and a water level comparison module for comparing the water levels of the data collected by the temperature sensor, water level electrode and float water level gauge.

[0017] Another technical problem to be solved by the present invention is to provide a boiler water shortage protection method based on steam temperature, comprising the following steps:

[0018] Collect boiler steam temperature data, water level electrode data and float water level data;

[0019] Preprocess the steam temperature data, water level electrode data and float water level data, including noise removal and smoothing;

[0020] Synchronize steam temperature data, water level electrode data and float water level data to ensure the time consistency of the three data;

[0021] Compare the steam temperature data, water level electrode data and float water level data to determine whether the boiler water level is normal;

[0022] When the steam temperature data, water level electrode data and float water level data are consistent, water shortage protection is performed directly based on the water level data;

[0023] When the steam temperature data, water level electrode data and float water level data are inconsistent, abnormal detection processing is performed to determine whether the steam temperature data, water level electrode data or float water level data is abnormal, and water shortage protection is performed based on the water level data without abnormalities.

[0024] Preferably, the method for synchronizing the water level data of the water level electrode and the float ball is:

[0025] Use interpolation to time-align steam temperature data, water level electrode data, and float water level data;

[0026] Determine the relationship between the water level positions represented by the steam temperature data, the water level electrode data, and the float water level data;

[0027] Perform data calibration to ensure that the measurement results of the water level electrode and the float water level sensor are consistent under the same water level conditions.

[0028] As a preferred method, the method for judging whether the steam temperature data, the water level electrode data or the float water level data is abnormal is:

[0029] Set a normal water level range. If the water level obtained by the steam temperature data, water level electrode data or float water level data exceeds the normal range, it is judged that the steam temperature data, water level electrode data or float water level data is abnormal; if the water level is within the normal range, further observe the data change trend.

[0030] As a preferred method, the method of observing the data change trend to determine whether the steam temperature data, water level electrode data or float water level data is abnormal is:

[0031] Analyze whether the steam temperature data, water level electrode data or float water level data are consistent with expectations. If the steam temperature data, water level electrode data or float water level data are not consistent with expectations, determine that the steam temperature data, water level electrode data or float water level data is abnormal; if the water level is consistent with expectations, further compare multiple data.

[0032] As a preferred method, the method of comparing multiple data to determine whether the steam temperature data, water level electrode data or float water level data is abnormal is:

[0033] Collect steam temperature data, water level electrode data and float water level data for multiple times, and compare and analyze them. If there is a data difference, it is judged that the steam temperature data, water level electrode data or float water level data is abnormal. If the data are consistent, manual maintenance is directly used to judge the abnormality.

[0034] The beneficial effects of the present invention are:

[0035] The system makes comprehensive use of multiple data sources such as steam temperature, water level electrode and float water level to judge water shortage protection, which improves the comprehensiveness and reliability of the system. By comparing and comprehensively analyzing multiple data, it can reduce the errors that may exist in a single monitoring method and improve the accuracy of judging the boiler water level status; the data preprocessing module in the system can denoise and smooth the collected data, which helps to improve the data quality and stability, thereby further improving the accuracy and reliability of the water shortage protection system; the system takes into account the abnormal situation when the water level electrode data and the float water level data are inconsistent, and can perform abnormal detection and processing, and perform water shortage protection based on water level data without abnormalities, which helps to avoid the interference of abnormal data on water shortage protection and improves the stability and safety of the system. DETAILED DESCRIPTION

[0036] The present invention is further described below in conjunction with specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0037] Example

[0038] A boiler water shortage protection system based on steam temperature, comprising:

[0039] The data acquisition module is used to collect the steam temperature data, water level electrode data and float water level data of the boiler, and transmit the data to the data preprocessing module;

[0040] Data preprocessing module, used to preprocess the collected steam temperature data, water level electrode data and float water level data, including noise removal and smoothing;

[0041] Data synchronization module, used to synchronize steam temperature data, water level electrode data and float water level data to ensure the time consistency of the three data;

[0042] The data comparison module is used to compare the steam temperature data, the water level electrode data and the float water level data to determine whether the boiler water level is normal;

[0043] Water shortage protection module, when the steam temperature data, water level electrode data and float water level data are consistent, water shortage protection is directly performed based on the water level data; when the water level electrode data and the float water level data are inconsistent, abnormality detection processing is performed, and water shortage protection is performed based on water level data without abnormalities.

[0044] The system makes comprehensive use of multiple data sources to make water shortage protection judgments, and pre-processes and compares the collected data, so as to more accurately judge the water level status of the boiler; when the water level electrode data and the float water level data are inconsistent, the system performs abnormal detection processing and performs water shortage protection based on the water level data without abnormalities, avoiding the interference of abnormal data on water shortage protection and improving the safety of the system; the data synchronization module in the system can ensure the temporal consistency of the three data, thereby reducing errors and improving the stability of the system.

[0045] The data acquisition module includes a temperature sensor for detecting steam temperature, an electrode device for measuring boiler water level, a float water level gauge for measuring boiler water level, and a water level calculator for processing electrical signals transmitted by the temperature sensor, water level electrode and float water level gauge, converting the electrical signals into digital signals and transmitting them to the data preprocessing module.

[0046] The solution uses a variety of sensors for data collection, including temperature sensors, water level electrodes and float water level gauges, which can accurately obtain the steam temperature and water level information of the boiler; the solution uses a special water level calculator to process and convert the data collected by different sensors, which can ensure the accuracy and stability of the data; the sensors and calculators used in the solution are common equipment on the market, easy to obtain and implement. At the same time, the use of digital signal transmission can reduce transmission errors and interference and improve data quality.

[0047] According to the actual situation of the boiler, select appropriate temperature sensors, water level electrodes and float water level gauges and install them in the boiler; transmit the electrical signals collected by different sensors to the water level calculator for processing and conversion, and transmit the processed digital signals to the data preprocessing module.

[0048] In the data preprocessing module, the collected data is denoised and smoothed to improve data quality and stability; in the data synchronization module, the time consistency of the steam temperature, water level electrode and float water level data is ensured to avoid errors.

[0049] In the data comparison module, the steam temperature data, water level electrode data and float water level data are compared to determine whether the boiler water level is normal; in the water shortage protection module, when the steam temperature data, water level electrode data and float water level data are consistent, water shortage protection is performed directly based on the water level data; when the water level electrode data and the float water level data are inconsistent, abnormality detection processing is performed, and water shortage protection is performed based on normal water level data. The system is tested and debugged to ensure its normal operation and the safety and stability of the boiler.

[0050] The data preprocessing module includes a filter for removing high-frequency noise in the electrical signals transmitted by the temperature sensor, the water level electrode and the float water level gauge, a smoother for smoothing the denoised data, and a data verification module for verifying and correcting the preprocessed data.

[0051] The use of filters can effectively remove high-frequency noise in the electrical signals transmitted by temperature sensors, water level electrodes and float water level gauges, thereby improving the accuracy and stability of data; the smoother can smooth the denoised data to make data changes more stable and reduce the interference of sudden changes on the system; the data verification module can verify and correct the pre-processed data to ensure the reliability and accuracy of the data.

[0052] According to the characteristics of the electrical signals transmitted by the temperature sensor, water level electrode and float water level gauge, select the appropriate filter for installation and debugging to remove high-frequency noise; connect a smoother after the filter to smooth the denoised data to make the data change more stable; introduce a data verification module to verify and correct the pre-processed data to ensure the reliability and accuracy of the data.

[0053] The entire preprocessing module is tested and debugged to verify its data processing effect and stability; in the data synchronization module, the preprocessed data is synchronized with other data sources to ensure data consistency and accuracy; finally, the processed data is transmitted to the data comparison module and the water shortage protection module to determine whether the boiler water level is normal and perform water shortage protection.

[0054] The data synchronization module includes a time synchronization module for ensuring the temporal consistency of data collected by the temperature sensor, water level electrode and float water level meter, and a data alignment module for aligning the data collected by the temperature sensor, water level electrode and float water level meter.

[0055] The use of the time synchronization module can ensure the temporal consistency of the data collected by the temperature sensor, water level electrode and float water level meter, avoiding errors caused by time differences; the use of the data alignment module can align the data collected by the temperature sensor, water level electrode and float water level meter, eliminate data collection errors, and improve data accuracy and stability.

[0056] According to the characteristics of the data collected by the temperature sensor, water level electrode and float water level meter, select the appropriate time synchronization module for installation and debugging to ensure the temporal consistency of the data collected by each sensor; connect the data alignment module behind the time synchronization module to align the collected data and eliminate data collection errors.

[0057] The entire data synchronization module is tested and debugged to verify its data processing effect and stability; the pre-processed data is introduced into the data comparison module for comparison to determine whether the boiler water level is normal; in the water shortage protection module, when the steam temperature data, water level electrode data and float water level data are consistent, water shortage protection is performed directly based on the water level data; when the water level electrode data and the float water level data are inconsistent, anomaly detection processing is performed, and water shortage protection is performed based on water level data without abnormalities.

[0058] The data comparison module includes a data reading module for reading data collected by the temperature sensor, water level electrode and float water level gauge from the data storage module, and a water level comparison module for comparing the water levels of the data collected by the temperature sensor, water level electrode and float water level gauge.

[0059] Through the data reading module, the data collected by the temperature sensor, water level electrode and float water level gauge can be read from the data storage module in real time for real-time monitoring; the water level comparison module can compare the water level data collected by the temperature sensor, water level electrode and float water level gauge to ensure the consistency of the water level data collected by each sensor in the system, thereby improving the safety and stability of the system.

[0060] Design and implement the data reading module, which is responsible for reading the data collected by the temperature sensor, water level electrode and float water level gauge from the data storage module and passing it to the water level comparison module; design and implement the water level comparison module, which receives the data from the data reading module and performs water level comparison to ensure the consistency of the water level data collected by each sensor. If the data is inconsistent, the corresponding alarm or processing mechanism can be triggered; test and debug the entire data comparison module to verify its data processing effect and stability; transmit the data verified by the water level comparison module to the water shortage protection module to determine whether the boiler water level is normal and perform water shortage protection operations.

[0061] A boiler water shortage protection method based on steam temperature comprises the following steps:

[0062] Collect boiler steam temperature data, water level electrode data and float water level data;

[0063] Preprocess the steam temperature data, water level electrode data and float water level data, including noise removal and smoothing;

[0064] Synchronize steam temperature data, water level electrode data and float water level data to ensure the time consistency of the three data;

[0065] Compare the steam temperature data, water level electrode data and float water level data to determine whether the boiler water level is normal;

[0066] When the steam temperature data, water level electrode data and float water level data are consistent, water shortage protection is performed directly based on the water level data;

[0067] When the steam temperature data, water level electrode data and float water level data are inconsistent, abnormal detection processing is performed to determine whether the steam temperature data, water level electrode data or float water level data is abnormal, and water shortage protection is performed based on the water level data without abnormalities.

[0068] By collecting the boiler's steam temperature data, water level electrode data and float water level data, and performing preprocessing and synchronization, the monitoring precision and accuracy of the boiler water level can be ensured; by comparing the steam temperature data, water level electrode data and float water level data, it can be determined whether the boiler water level is normal, thereby achieving water shortage protection; through abnormal detection and processing, abnormal situations of steam temperature data, water level electrode data or float water level data can be discovered and processed in time to ensure safe and stable boiler operation.

[0069] Design and implement the acquisition module, which is responsible for collecting the boiler's steam temperature data, water level electrode data and float water level data, and preprocessing and synchronizing them to ensure the consistency of the three types of data in time; design and implement the comparison module, which receives data from the acquisition module and compares it to determine whether the boiler water level is normal. If the boiler water level is found to be abnormal, the corresponding water shortage protection measures are triggered, such as shutdown or alarm; design and implement the abnormality detection module, which performs abnormality detection and processing on the steam temperature data, water level electrode data or float water level data. If an abnormality is found, corresponding processing is required, such as ignoring abnormal data, repairing abnormal data or alarm processing; test and debug the entire boiler water shortage protection method based on steam temperature to verify its monitoring accuracy and accuracy of the boiler water level, as well as the effect and stability of water shortage protection.

[0070] The method to synchronize the water level data of the water level electrode and the float is:

[0071] Use interpolation to time-align steam temperature data, water level electrode data, and float water level data;

[0072] Determine the relationship between the water level positions represented by the steam temperature data, the water level electrode data, and the float water level data;

[0073] Perform data calibration to ensure that the measurement results of the water level electrode and the float water level sensor are consistent under the same water level conditions.

[0074] By performing time alignment through interpolation, the water level electrode data, float water level data and steam temperature data can be synchronized to ensure their temporal consistency, thereby improving the accuracy and reliability of the data; determining the relationship between the water level positions represented by the water level electrode data and the float water level data helps to establish a corresponding relationship between them, further improving the accuracy of the judgment of the boiler water level status; through data calibration, it can ensure that the measurement results of the water level electrode and the float water level sensor are consistent under the same water level conditions, thereby eliminating errors caused by sensor differences and improving the accuracy of water level detection.

[0075] Use interpolation algorithm to time align steam temperature data, water level electrode data and float water level data to ensure that they have corresponding data at the same time point; determine the relationship between the water level positions represented by the water level electrode data and the float water level data, and obtain the functional relationship or empirical relationship between them through actual measurement and comparative analysis for subsequent data calibration.

[0076] Perform data calibration. According to the determined water level position relationship, calibrate the measurement results of the water level electrode and the float water level sensor to make their measurement results consistent under the same water level conditions; verify and debug the synchronized and calibrated data to ensure the accuracy and stability of the water level electrode and float water level data, and provide reliable data support for subsequent water shortage protection.

[0077] The method to determine whether the steam temperature data, water level electrode data or float water level data is abnormal is:

[0078] Set a normal water level range. If the water level obtained by the steam temperature data, water level electrode data or float water level data exceeds the normal range, it is judged that the steam temperature data, water level electrode data or float water level data is abnormal; if the water level is within the normal range, further observe the data change trend.

[0079] By setting the normal water level range, it is possible to simply and intuitively determine whether the steam temperature data, water level electrode data or float water level data is abnormal, so as to promptly discover possible problems; further observing the changing trend of the data will help determine whether the abnormal data continues to appear, as well as the degree and trend of the abnormality, providing more information and basis for subsequent processing.

[0080] To set a normal water level range, a reasonable water level range can be determined based on actual experience and technical requirements, such as the minimum safe water level and the maximum allowable water level; monitor the steam temperature data, water level electrode data or float water level data. If the water level obtained from any of the data exceeds the normal range, it is judged that the water level electrode data or the float water level data is abnormal and needs further processing.

[0081] When the water level is within the normal range, further observe the trend of data changes. You can use statistical analysis or sliding window methods to monitor data changes and determine whether there is an abnormal trend in the data. If abnormal data is observed to continue to appear or show an abnormal trend, you need to take corresponding measures, such as triggering an alarm, shutting down for protection, or performing manual intervention to ensure the safe and stable operation of the boiler.

[0082] The method of observing the data change trend to determine whether the steam temperature data, water level electrode data or float water level data is abnormal is:

[0083] Analyze whether the steam temperature data, water level electrode data or float water level data are consistent with expectations. If the steam temperature data, water level electrode data or float water level data are not consistent with expectations, determine that the steam temperature data, water level electrode data or float water level data is abnormal; if the water level is consistent with expectations, further compare multiple data.

[0084] By analyzing the degree of conformity between the data and the expected values, it is possible to more carefully determine whether the steam temperature data, water level electrode data or float water level data are abnormal, thereby eliminating unexpected situations; further comparison of multiple data will help confirm whether the abnormal data is accidental and ensure the accuracy and reliability of the judgment.

[0085] Set the expected numerical range, and determine the expected numerical range of the steam temperature, water level electrode and float water level according to the boiler operating status and technical requirements, such as the allowable temperature range and the normal water level range; analyze the actual steam temperature data, water level electrode data or float water level data, and compare them with the expected values. If any discrepancy with the expectations is found, it can be preliminarily determined that the water level electrode data or the float water level data is abnormal and requires further processing.

[0086] When the water level is consistent with expectations, the data can be compared multiple times to observe the trend of data changes, such as using a sliding window or statistical analysis method, to confirm whether the data changes are normal and whether there are abnormal trends; if the data continues to be inconsistent with expectations or an abnormal trend appears, appropriate measures need to be taken in a timely manner, such as triggering an alarm, shutting down for protection or manual intervention, to ensure the safe and stable operation of the boiler.

[0087] The method for comparing multiple data to determine whether the steam temperature data, water level electrode data or float water level data is abnormal is as follows:

[0088] Collect steam temperature data, water level electrode data and float water level data for multiple times, and compare and analyze them. If there is a data difference, it is judged that the steam temperature data, water level electrode data or float water level data is abnormal. If the data are consistent, manual maintenance is directly used to judge the abnormality.

[0089] By comparing data multiple times, it is possible to more accurately determine whether the steam temperature data, water level electrode data or float water level data are abnormal, and eliminate the impact of accidental factors on the data; different analysis methods can be used for different data sets, such as mean, variance, median, etc., to improve the accuracy and reliability of judgment.

[0090] Collect steam temperature data, water level electrode data, and float water level data multiple times. It is recommended to collect at least five consecutive data for subsequent comparison. Compare and analyze the collected data. Different analysis methods can be used according to different data sets, such as calculating the mean, variance, median, etc., to find differences and patterns between the data.

[0091] If differences or abnormal patterns are found between the data, it can be preliminarily determined that the steam temperature data, water level electrode data or float water level data are abnormal and require further processing; if the data are consistent for multiple times, manual maintenance can be used to determine the abnormality, such as manually observing the boiler operating status and equipment condition to determine whether there are any abnormal conditions; if an abnormal condition is found, appropriate measures need to be taken in a timely manner, such as triggering an alarm, shutting down for protection or manual intervention, to ensure the safe and stable operation of the boiler.

[0092] The above embodiments of the present invention are not intended to limit the protection scope of the present invention, and the implementation modes of the present invention are not limited thereto. All other modifications, replacements or changes made to the above structures of the present invention based on the above contents of the present invention, in accordance with common technical knowledge and customary means in the art, without departing from the above basic technical ideas of the present invention, should fall within the protection scope of the present invention.

Claims

1. A boiler water shortage protection method based on steam temperature, characterized in that: The following steps are involved: Collect the steam temperature data, water level electrode data and float water level data of the boiler; pre-process the steam temperature data, water level electrode data and float water level data, including noise removal and smoothing; The steam temperature data, water level electrode data and float water level data are synchronized to ensure the time consistency of the three data: the steam temperature data, water level electrode data and float water level data are time aligned by interpolation; the relationship between the water level positions represented by the steam temperature data, water level electrode data and float water level data is determined; data calibration is performed to ensure that the measurement results of the steam temperature data, water level electrode and float water level sensor are consistent under the same water level conditions; Compare the steam temperature data, water level electrode data and float water level data to determine whether the boiler water level is normal; when the steam temperature data, water level electrode data and float water level data are consistent, perform water shortage protection directly based on the water level data; when the steam temperature data, water level electrode data and float water level data are inconsistent, perform abnormality detection processing to determine whether the steam temperature data, water level electrode data or float water level data is abnormal, and perform water shortage protection based on the water level data without abnormality; The method for judging whether the steam temperature data, water level electrode data or float water level data is abnormal is as follows: set a normal water level range; if the water level obtained by the steam temperature data, water level electrode data or float water level data exceeds the normal range, then the steam temperature data, water level electrode data or float water level data is judged to be abnormal; if the water level is within the normal range, then further observe the data change trend: analyze whether the steam temperature data, water level electrode data or float water level data is consistent with expectations; if the steam temperature data, water level electrode data or float water level data is inconsistent with expectations, then the steam temperature data, water level electrode data or float water level data is judged to be abnormal; if the water level is consistent with expectations, then further compare multiple data: collect multiple steam temperature data, water level electrode data and float water level data, and compare and analyze them; if there is a data difference, then the steam temperature data, water level electrode data or float water level data is judged to be abnormal; if the multiple data are consistent, then manual maintenance is directly used to judge the abnormality.