Boiler flue gas emission pollution analysis and early warning system based on online monitoring

Abstract

The invention discloses a boiler flue gas emission pollution analysis and early warning system based on online monitoring, relates to the field of flue gas emission pollution analysis and detection, and aims to solve the problems that in the prior art, the monitoring dimension is single, only the tail end emission result is concerned, and the influence of the transient working condition on the flue gas treatment efficiency in the boiler operation process is ignored. According to the method, multi-dimensional, preposed and precise improvement of boiler flue gas emission pollution monitoring and early warning is realized through a full-process design of platform overall planning, transient identification, pollution pre-judgment, operation early warning and precise management and control; transient and continuous operation conditions are accurately identified, an accurate condition basis is provided for pollution risk assessment, a condition and pollution risk correlation model is established, pre-judgment of the pollution risk is realized, linkage of operation early warning and pollution control is realized, and the pertinence and effectiveness of treatment measures are improved.

Description

Technical Field

[0001] This invention relates to the field of flue gas emission pollution analysis and detection, specifically to a boiler flue gas emission pollution analysis and early warning system based on online monitoring. Background Technology

[0002] As core equipment for energy consumption and flue gas emission, industrial boilers are a key component of air pollution prevention and control. With increasingly stringent environmental regulations (such as the continuous implementation and upgrading of the "Emission Standard of Air Pollutants for Boilers" GB13271-2014), industrial enterprises have an increasingly urgent need for online monitoring, precise control, and early warning of boiler flue gas emissions.

[0003] Currently, boiler flue gas emission monitoring technology mainly focuses on end-of-pipe pollutant concentration monitoring, that is, real-time detection of SO2 and NO by installing flue gas analyzers. X The emission concentration of pollutants such as particulate matter is used to determine whether standards are met, but this technology has obvious limitations:

[0004] On the one hand, the monitoring dimensions are too narrow, focusing only on the end-of-pipe emission results and ignoring the impact of transient operating conditions (such as ignition, main fuel tripping, fan start-up and shutdown) on flue gas treatment efficiency during boiler operation. Transient operating conditions are often the high-incidence stage of pollutant emissions exceeding standards.

[0005] On the other hand, the early warning mechanism is lagging behind, and alarms are often triggered only after pollutant concentrations exceed the standard. It lacks the ability to predict potential pollution risks during operation, and it is difficult to accurately locate the source of risk (whether it is abnormal operating conditions or equipment failure) after the alarm is triggered.

[0006] Furthermore, the disconnect between operational status and emission control makes it impossible to adjust flue gas treatment strategies in advance based on dynamic changes in boiler operating status, resulting in passive and inefficient pollution control.

[0007] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0008] The purpose of this invention is to solve the problems mentioned above by proposing a boiler flue gas emission pollution analysis and early warning system based on online monitoring.

[0009] The objective of this invention can be achieved through the following technical solution: a boiler flue gas emission pollution analysis and early warning system based on online monitoring, including an analysis and early warning platform, which is communicatively connected to a transient identification unit, an emission pollution detection unit, and an operation early warning unit;

[0010] The transient identification unit performs real-time analysis of the boiler's operating status and classifies the status based on the analysis results; pollution detection is performed according to different status types, i.e., the emission pollution detection unit detects emission pollution during the real-time operation of the boiler.

[0011] The operation early warning unit analyzes and issues early warnings during the boiler operation process.

[0012] Furthermore, the process of the transient recognition unit is as follows:

[0013] Collect event trigger signals and process variable signals, and record the time points when the signals are generated;

[0014] The interval between the triggering of the signal in the adjacent execution process after the event triggering signal is generated is obtained. At the same time, the duration during which the corresponding data value of the process variable signal is not generated after the process variable signal is generated is obtained. The interval between the triggering of the signal in the adjacent execution process after the event triggering signal is generated and the duration during which the corresponding data value of the process variable signal is not generated after the process variable signal is generated are compared with the interval duration threshold and the duration threshold, respectively.

[0015] Furthermore, if the interval between the triggering of the signal corresponding to the adjacent execution process after the event triggering signal exceeds the interval duration threshold, or if the duration during which the data value corresponding to the process variable signal is not generated after the process variable signal is generated exceeds the duration threshold, it is inferred that the boiler is currently in a momentary pause state, and the current stage is marked as a transient static state.

[0016] If the interval between the triggering of the corresponding signal of the adjacent execution process after the event triggering signal does not exceed the interval duration threshold, and the duration during which the corresponding data value of the process variable signal is not generated after the event triggering signal does not exceed the duration threshold, then it is inferred that the boiler is currently in a continuous operating state, and the current stage is marked as a continuous operating state.

[0017] Furthermore, the process of the emission pollution detection unit is as follows:

[0018] The non-overlapping duration of the cumulative stage duration of the transient static state and the duration of the flue gas emission treatment stage is obtained. At the same time, the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state is obtained. The non-overlapping duration of the cumulative stage duration of the transient static state and the duration of the flue gas emission treatment stage, and the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state are compared with the non-overlapping duration threshold and the maximum fluctuation range threshold, respectively.

[0019] Furthermore, if the non-overlapping duration of the cumulative stage of the transient static state and the stage of flue gas emission treatment exceeds the non-overlapping duration threshold, or if the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state exceeds the maximum fluctuation range threshold, it is inferred that there is a risk of flue gas emission pollution in the current operation of the boiler, an emission pollution signal is generated, and the emission pollution signal and the corresponding stage are sent to the analysis and early warning platform. After receiving the signal, the analysis and early warning platform will control the emission of flue gas in the boiler operation.

[0020] If the non-overlapping duration of the cumulative stage of the transient static state and the duration of the flue gas emission treatment stage does not exceed the non-overlapping duration threshold, and the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state does not exceed the maximum fluctuation range threshold, it is inferred that there is no risk of flue gas emission pollution in the current operation of the boiler, an emission safety signal is generated, and the emission safety signal and the corresponding stage are sent to the analysis and early warning platform together.

[0021] Furthermore, the process of operating the early warning unit is as follows:

[0022] Obtain the time deviation between the time of event trigger signal generation and the time of execution of the corresponding event procedure during the cumulative operation period of the boiler; at the same time, obtain the frequency of occurrence of statistical error of process variable data corresponding to process variable signals during the cumulative operation period of the boiler.

[0023] The time deviation between the event trigger signal generation time and the corresponding event process execution time during the boiler's cumulative operation phase, and the frequency of statistical errors in the process variable signals corresponding to the variable data during the boiler's cumulative operation phase, are compared with the time deviation threshold and the error frequency threshold, respectively.

[0024] Furthermore, if the time deviation between the event trigger signal generation time and the corresponding event process execution time exceeds the time deviation threshold during the boiler's cumulative operation phase, or if the frequency of statistical errors in the process variable signals and corresponding variable data exceeds the error frequency threshold during the boiler's cumulative operation phase, it is inferred that there is an abnormality in the boiler's operating status during the cumulative operation phase. An operation warning signal is generated and sent to the analysis and warning platform. After receiving the operation warning signal, the analysis and warning platform continuously monitors the boiler's operating status and performs control and analysis on flue gas emissions, and makes targeted adjustments to the emission flue gas treatment based on the flue gas treatment speed.

[0025] If the time deviation between the event trigger signal generation time and the corresponding event procedure execution time during the boiler's cumulative operation phase does not exceed the time deviation threshold, and the frequency of statistical errors in the process variable signals corresponding to the variable data during the boiler's cumulative operation phase does not exceed the error frequency threshold, then it is inferred that the boiler's operating status is normal during the boiler's cumulative operation phase, and a stable operation signal is generated and sent to the analysis and early warning platform.

[0026] Compared with the prior art, the beneficial effects of the present invention are:

[0027] 1. By comparing the interval duration of adjacent event trigger signals with the interval duration threshold, and the duration of missing process variable signal data with the duration threshold, the system can accurately distinguish between transient static states and continuous operating states. This step compensates for the inability to accurately identify transient boiler operating conditions, and can accurately capture the transient static phase when pollutant exceedances are frequent. This provides an accurate operating condition basis for subsequent targeted pollution risk assessments and reduces the probability of missed pollution risk assessments due to misjudgments of operating conditions.

[0028] 2. Innovatively, the non-overlapping duration of the cumulative duration of transient static state and the duration of flue gas emission treatment stage, as well as the maximum fluctuation range of flue gas emission treatment efficiency under continuous operation, are used as indicators for judging pollution risk. This breaks the limitation of relying solely on the concentration of pollutants at the end of the process, and establishes a correlation analysis model of "operating condition - treatment efficiency - pollution risk" to achieve advance prediction of pollution risk.

[0029] By comparing with the corresponding threshold to determine the pollution risk, it is possible to identify potential pollution risks in advance when the pollutant concentration has not exceeded the standard. This is due to the mismatch between transient operating conditions and treatment stages (non-overlapping duration exceeding the standard) or excessive fluctuations in treatment efficiency (fluctuation range exceeding the standard), giving enterprises time to take control measures in advance and effectively reducing the probability of pollutant emissions exceeding the standard.

[0030] The system generates corresponding signals for different risk outcomes and feeds them back to the platform. The platform then implements targeted control measures based on these signals, achieving a linkage between "risk prediction and precise control." This avoids the drawbacks of blind control after a pollution alarm, improves the targeting and effectiveness of pollution control, and reduces environmental governance costs.

[0031] 3. The time deviation between the event trigger signal generation time and the corresponding process execution time, and the frequency of statistical errors in process variable signal data are selected as early warning indicators. The boiler operation stability is evaluated from two dimensions: "time sequence coordination" and "data reliability". This makes up for the shortcomings of only focusing on the numerical value of operating parameters and ignoring the timing matching of parameters and data quality. It can more comprehensively and accurately identify potential operational anomalies. When the indicators exceed the standard, the platform starts continuous monitoring and adjusts the flue gas treatment strategy accordingly to achieve closed-loop management of "early warning-monitoring-control".

[0032] This step addresses the disconnect between operational early warning and pollution control, enabling timely intervention upon detection of operational anomalies to prevent the continued deterioration of abnormal operating conditions and resulting in excessive pollution emissions. It also enhances the adaptive adjustment capabilities of the flue gas treatment system, ensuring the coordinated stability of boiler operation and pollution control. By generating stable signals for normal operating conditions, it provides clear evidence for enterprises to understand boiler operating status, facilitating routine operation and maintenance management and improving equipment operating efficiency and the precision of environmental governance. Attached Figure Description

[0033] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0034] Figure 1 This is a system principle block diagram of the present invention. Detailed Implementation

[0035] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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.

[0036] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0037] Please see Figure 1 As shown, the boiler flue gas emission pollution analysis and early warning system based on online monitoring includes an analysis and early warning platform, which is connected to a transient identification unit, an emission pollution detection unit, and an operation early warning unit.

[0038] The analysis and early warning platform generates transient identification signals and sends them to the transient identification unit;

[0039] After receiving the transient identification signal, the transient identification unit performs real-time analysis of the boiler's operating status and classifies the status based on the analysis results.

[0040] Through standard industrial interfaces such as OPC and Modbus, it communicates in real time with the boiler distributed control system (DCS) or safety instrumented system (SIS) to collect event trigger signals and process variable signals, and records the time points when the signals are generated;

[0041] Event trigger signals are represented as: igniter action, main fuel trip (MFT), blower start / stop, coal mill start / stop, coal feeder start / stop, denitrification ammonia injection shut-off valve status, bypass damper switch and other digital / switching signals.

[0042] The process variable signals are represented as analog signals such as main steam flow (representing load), total air volume, coal feed rate, furnace negative pressure, secondary air damper opening, and denitrification inlet temperature;

[0043] The interval between the triggering of the event-triggered signal and the corresponding signal triggering of the adjacent execution process is obtained. Simultaneously, the duration during which the corresponding data value of the process variable signal is not generated after its generation is also obtained. The interval between the triggering of the event-triggered signal and the corresponding signal triggering of the adjacent execution process, and the duration during which the corresponding data value of the process variable signal is not generated, are compared with the interval duration threshold and the duration threshold, respectively.

[0044] If the interval between the triggering of the signal of the adjacent execution process after the event triggering signal exceeds the interval duration threshold, or if the duration during which the data value corresponding to the process variable signal is not generated after the event triggering signal exceeds the duration threshold, it is inferred that the boiler is currently in a momentary pause state and the current stage is marked as a transient static state.

[0045] If the interval between the triggering of the signal of the adjacent execution process after the event triggering signal does not exceed the interval duration threshold, and the duration during which the corresponding data value of the process variable signal is not generated after the event triggering signal does not exceed the duration threshold, then it is inferred that the boiler is currently in a continuous operating state, and the current stage is marked as a continuous operating state.

[0046] Simultaneously, the early warning platform generates emission pollution detection signals and sends them to the emission pollution detection unit;

[0047] After receiving the emission pollution detection signal, the emission pollution detection unit performs real-time emission pollution detection on the boiler.

[0048] The non-overlapping duration of the cumulative duration of the transient static state and the duration of the flue gas emission treatment stage is obtained. Simultaneously, the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state is obtained. The non-overlapping duration of the cumulative duration of the transient static state and the duration of the flue gas emission treatment stage, and the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state, are compared with the non-overlapping duration threshold and the maximum fluctuation range threshold, respectively.

[0049] If the non-overlapping duration of the cumulative stage of transient static state and the duration of flue gas emission treatment stage exceeds the non-overlapping duration threshold, or if the maximum fluctuation range of flue gas emission treatment efficiency in the corresponding stage of continuous operation exceeds the maximum fluctuation range threshold, it is inferred that there is a risk of flue gas emission pollution in the current operation of the boiler, an emission pollution signal is generated, and the emission pollution signal and the corresponding stage are sent to the analysis and early warning platform. After receiving the signal, the analysis and early warning platform will control the emission of flue gas in the boiler operation.

[0050] If the non-overlapping duration of the cumulative stage of the transient static state and the duration of the flue gas emission treatment stage does not exceed the non-overlapping duration threshold, and the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state does not exceed the maximum fluctuation range threshold, it is inferred that there is no risk of flue gas emission pollution in the current operation of the boiler, an emission safety signal is generated, and the emission safety signal and the corresponding stage are sent to the analysis and early warning platform together.

[0051] The analysis and early warning platform generates operational early warning signals and sends them to the operational early warning unit;

[0052] After receiving the operation warning signal, the operation warning unit analyzes and issues warnings about the boiler operation process;

[0053] Obtain the time deviation between the time of event trigger signal generation and the time of execution of the corresponding event procedure during the cumulative operation period of the boiler; at the same time, obtain the frequency of occurrence of statistical error of process variable data corresponding to process variable signals during the cumulative operation period of the boiler.

[0054] The time deviation between the event trigger signal generation time and the corresponding event process execution time during the boiler's cumulative operation period, and the frequency of statistical errors in the process variable signals during the boiler's cumulative operation period, were compared with the time deviation threshold and the error frequency threshold, respectively.

[0055] If the time deviation between the event trigger signal generation time and the corresponding event process execution time exceeds the time deviation threshold during the boiler's cumulative operation phase, or if the frequency of statistical errors in the process variable signals and corresponding variable data exceeds the error frequency threshold during the boiler's cumulative operation phase, it is inferred that there is an abnormality in the boiler's operating status during the cumulative operation phase. An operation warning signal is generated and sent to the analysis and warning platform. After receiving the operation warning signal, the analysis and warning platform continuously monitors the boiler's operating status and performs control and analysis on flue gas emissions. Based on the flue gas treatment speed, targeted adjustments are made to the emission flue gas treatment.

[0056] If the time deviation between the event trigger signal generation time and the corresponding event procedure execution time during the boiler's cumulative operation phase does not exceed the time deviation threshold, and the frequency of statistical errors in the process variable signals corresponding to the variable data during the boiler's cumulative operation phase does not exceed the error frequency threshold, then it is inferred that the boiler's operating status is normal during the boiler's cumulative operation phase, and a stable operation signal is generated and sent to the analysis and early warning platform.

[0057] Thresholds, preset values, preset ranges, etc. are set for result comparison and analysis to determine whether they are good or bad. The value of these thresholds is determined by a combination of large-scale model analysis of sample data and human experience. They can also be adjusted appropriately based on seasonal or common-sense influences.

[0058] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A boiler flue gas emission pollution analysis and early warning system based on online monitoring, characterized in that, This includes an analysis and early warning platform, which is connected to a transient identification unit, an emission pollution detection unit, and an operational early warning unit. The transient identification unit performs real-time analysis of the boiler's operating status and classifies the status based on the analysis results; pollution detection is performed according to different status types, namely, the emission pollution detection unit performs real-time emission pollution detection on the boiler's operation, and the operation early warning unit analyzes and issues early warnings on the boiler's operation process.

2. The boiler flue gas emission pollution analysis and early warning system based on online monitoring according to claim 1, characterized in that, The process of the transient recognition unit is as follows: Collect event trigger signals and process variable signals, and record the time points when the signals are generated; The interval between the triggering of the signal in the adjacent execution process after the event triggering signal is generated is obtained. At the same time, the duration during which the corresponding data value of the process variable signal is not generated after the process variable signal is generated is obtained. The interval between the triggering of the signal in the adjacent execution process after the event triggering signal is generated and the duration during which the corresponding data value of the process variable signal is not generated after the process variable signal is generated are compared with the interval duration threshold and the duration threshold, respectively.

3. The boiler flue gas emission pollution analysis and early warning system based on online monitoring according to claim 2, characterized in that, If the interval between the triggering of the signal of the adjacent execution process after the event triggering signal exceeds the interval duration threshold, or if the duration during which the data value corresponding to the process variable signal is not generated after the event triggering signal exceeds the duration threshold, it is inferred that the boiler is currently in a momentary pause state and the current stage is marked as a transient static state. If the interval between the triggering of the corresponding signal of the adjacent execution process after the event triggering signal does not exceed the interval duration threshold, and the duration during which the corresponding data value of the process variable signal is not generated after the event triggering signal does not exceed the duration threshold, then it is inferred that the boiler is currently in a continuous operating state, and the current stage is marked as a continuous operating state.

4. The boiler flue gas emission pollution analysis and early warning system based on online monitoring according to claim 3, characterized in that, The process of the emission pollution detection unit is as follows: The non-overlapping duration of the cumulative stage duration of the transient static state and the duration of the flue gas emission treatment stage is obtained. At the same time, the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state is obtained. The non-overlapping duration of the cumulative stage duration of the transient static state and the duration of the flue gas emission treatment stage, and the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state are compared with the non-overlapping duration threshold and the maximum fluctuation range threshold, respectively.

5. The boiler flue gas emission pollution analysis and early warning system based on online monitoring according to claim 4, characterized in that, If the non-overlapping duration of the cumulative stage of transient static state and the duration of flue gas emission treatment stage exceeds the non-overlapping duration threshold, or if the maximum fluctuation range of flue gas emission treatment efficiency in the corresponding stage of continuous operation exceeds the maximum fluctuation range threshold, it is inferred that there is a risk of flue gas emission pollution in the current operation of the boiler, an emission pollution signal is generated, and the emission pollution signal and the corresponding stage are sent to the analysis and early warning platform. After receiving the signal, the analysis and early warning platform will control the emission of flue gas in the boiler operation. If the non-overlapping duration of the cumulative stage of the transient static state and the duration of the flue gas emission treatment stage does not exceed the non-overlapping duration threshold, and the maximum fluctuation range of the flue gas emission treatment efficiency within the corresponding stage of the continuous operation state does not exceed the maximum fluctuation range threshold, it is inferred that there is no risk of flue gas emission pollution in the current operation of the boiler, an emission safety signal is generated, and the emission safety signal and the corresponding stage are sent to the analysis and early warning platform together.

6. The boiler flue gas emission pollution analysis and early warning system based on online monitoring according to claim 1, characterized in that, The process of running the early warning unit is as follows: Obtain the time deviation between the time of event trigger signal generation and the time of execution of the corresponding event procedure during the cumulative operation period of the boiler; at the same time, obtain the frequency of occurrence of statistical error of process variable data corresponding to process variable signals during the cumulative operation period of the boiler. The time deviation between the event trigger signal generation time and the corresponding event process execution time during the boiler's cumulative operation phase, and the frequency of statistical errors in the process variable signals corresponding to the variable data during the boiler's cumulative operation phase, are compared with the time deviation threshold and the error frequency threshold, respectively.

7. The boiler flue gas emission pollution analysis and early warning system based on online monitoring according to claim 6, characterized in that, If the time deviation between the event trigger signal generation time and the corresponding event process execution time exceeds the time deviation threshold during the boiler's cumulative operation phase, or if the frequency of statistical errors in the process variable signals and corresponding variable data exceeds the error frequency threshold during the boiler's cumulative operation phase, it is inferred that there is an abnormality in the boiler's operating status during the cumulative operation phase. An operation warning signal is generated and sent to the analysis and warning platform. After receiving the operation warning signal, the analysis and warning platform continuously monitors the boiler's operating status and performs control and analysis on flue gas emissions. Based on the flue gas treatment speed, targeted adjustments are made to the emission flue gas treatment. If the time deviation between the event trigger signal generation time and the corresponding event procedure execution time during the boiler's cumulative operation phase does not exceed the time deviation threshold, and the frequency of statistical errors in the process variable signals corresponding to the variable data during the boiler's cumulative operation phase does not exceed the error frequency threshold, then it is inferred that the boiler's operating status is normal during the boiler's cumulative operation phase, and a stable operation signal is generated and sent to the analysis and early warning platform.

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