Flue gas desulfurization control system for thermal power generating unit

Abstract

The invention relates to the technical field of thermotechnical automatic control, and discloses a flue gas desulfurization control system for a thermal power generating unit, which comprises a thermal power generating unit data monitoring module, a thermal power generating unit data collection module, a thermal power generating unit data analysis module, a thermal power generating unit data processing module and a thermal power generating unit data management module, the thermal power generating unit data monitoring module is responsible for monitoring smoke components, pipeline temperature, pipeline pressure, pollution content and fault states in real time during operation of the thermal power generating unit, the thermal power generating unit data collection module is responsible for classifying, summarizing and preprocessing monitored data, and the thermal power generating unit data analysis module is used for deeply analyzing the collected data. The thermal power generating unit data processing module generates a control instruction according to a data analysis result, the thermal power generating unit data management module has the functions of user interface design, system configuration and safety management, and the system configuration function allows an administrator to optimize system parameters according to actual requirements of the thermal power generating unit data processing module.

Description

Technical Field

[0001] The invention relates to the technical field of thermal automatic control, in particular to a flue gas desulfurization control system for a thermal power unit. Background Art

[0002] During the operation of thermal power units, the flue gas desulfurization control system plays a vital role. However, in the prior art, the system has many defects, which seriously affect its normal operation and desulfurization efficiency. Blockage problems are prone to occur in parts such as demisters, GGH (flue gas heat exchangers) and pipelines, mainly due to unreasonable design, improper control of operating parameters and incomplete purging. These blockages will cause the system pressure to increase, affect the desulfurization efficiency, and even force the system to shut down. In addition, when the chloride ion or sulfite content in the slurry exceeds the standard, it will cause scaling on the inner wall of the desulfurization equipment container or pipeline, which will affect the normal operation of the equipment in severe cases. The interruption of process water will also prevent the desulfurization system from operating normally. For example, problems such as water pump tripping and water pipe rupture need to be solved quickly to avoid causing greater damage to the desulfurization system. The existence of these problems not only reduces the operating efficiency of the desulfurization system, but also may cause serious environmental pollution. Therefore, it is of great significance to study and optimize the flue gas desulfurization control system of thermal power units and solve problems such as blockage, scaling and process water interruption to improve the desulfurization efficiency and ensure the stable operation of the system. Summary of the invention

[0003] 1. Technical issues to be solved

[0004] In view of the shortcomings of the prior art, the present invention provides a flue gas desulfurization control system for thermal power units, which has the advantages of unobstructed and clean pipelines and equipment, and continuous supply of process water, and solves the problems of pipeline and equipment blockage, scaling, and process water interruption.

[0005] (II) Technical solution

[0006] To achieve the above object, the present invention provides the following technical solutions: a flue gas desulfurization control system for a thermal power unit, comprising a thermal power unit data monitoring module, a thermal power unit data collection module, a thermal power unit data analysis module, a thermal power unit data processing module and a thermal power unit data management module;

[0007] The thermal power unit data monitoring module is responsible for real-time monitoring of the flue gas composition, pipeline temperature, pipeline pressure, pollution content and fault status of the thermal power unit during operation, and collects data through monitoring equipment, sensors and intelligent online detectors;

[0008] The thermal power unit data collection module is responsible for classifying, summarizing and preprocessing the monitored data, and numbering the data after storage;

[0009] The thermal power unit data analysis module conducts in-depth analysis on the collected data to identify potential problems in the desulfurization process and also the room for optimization;

[0010] The thermal power unit data processing module generates control instructions based on the results of data analysis to adjust the desulfurization system in real time;

[0011] The thermal power unit data management module includes functions of user interface design, system configuration and security management. The system configuration function allows the administrator to optimize system parameters according to the actual needs of the thermal power unit data processing module.

[0012] Preferably, the blockage monitoring data collection unit, the scaling monitoring data collection unit and the process water supply monitoring data collection unit, the blockage monitoring data collection unit obtains the blockage monitoring data through the Internet, the scaling monitoring data collection unit obtains the scaling monitoring data through the Internet, and the process water supply monitoring data collection unit obtains the process water supply monitoring data through the Internet.

[0013] Preferably, the blockage monitoring data collection unit numbers the actual flow rate, the design flow rate, the actual flow direction, the design flow direction, the number of dead ends, the sediment mass at all detected nodes and the corresponding areas represented by all detected nodes according to the blockage monitoring data characteristics, and the actual flow rate, the design flow rate, the actual flow direction, the design flow direction and the number of dead ends are numbered v1, v2, g1, g2, n respectively, and the sediment mass at all detected nodes is numbered w1, w2, w3, ... w m The areas represented by all detected nodes are numbered s1, s2, s3, ...s m .

[0014] Preferably, the scaling monitoring data collection unit numbers the chloride ion content, sulfite content and scaling layer thickness according to the scaling monitoring data characteristics, and the chloride ion content, sulfite content and scaling layer thickness are numbered C1, C2, and h, respectively.

[0015] Preferably, the process water supply monitoring data collection unit numbers the actual pressure and flow according to the process water supply monitoring data characteristics, and numbers the rated pressure and flow, the actual pressure and flow are numbered q1 and d1 respectively, and the rated pressure and flow are numbered q2 and d2 respectively.

[0016] Preferably, the thermal power unit data analysis module includes a blockage risk assessment unit, a scaling risk assessment unit and a process water interruption risk assessment unit.

[0017] Preferably, the congestion risk assessment unit calculates the congestion risk index Fx according to the congestion monitoring data, and the calculation formula is:

[0018]

[0019] In the formula, Fx represents the blockage risk index, v1 and v2 represent the actual flow rate and the design flow rate respectively. It indicates the flow rate control deviation, g1 and g2 respectively indicate the actual flow direction and the designed flow direction. represents the flow control deviation, n represents the number of dead angles, w1, w2, w3, ... w m represents the sediment mass at all detected nodes, s1, s2, s3, …s m Indicates the area represented by all detected nodes, w i 、s i They represent the sediment mass at the detected i-th node and the area represented by the detected i-th node, respectively. m represents the number of nodes. represents the amount of sediment accumulation, α represents the streamline design coefficient of the system, and θ represents the self-cleaning ability coefficient set by the system.

[0020] Preferably, the scaling risk assessment unit calculates the scaling risk index Fj according to the scaling monitoring data, and the calculation formula is:

[0021]

[0022] In the formula, Fj represents the scaling risk index, C1 represents the chloride ion content, C2 represents the sulfite content, h represents the scaling layer thickness, p1 represents the softening water treatment efficiency set by the system, p2 represents the anti-corrosion coating effect set by the system, and p3 represents the cleaning frequency set by the system.

[0023] Preferably, the process water interruption risk assessment unit calculates the water supply interruption risk index Fz based on the process water supply monitoring data, and the calculation formula is:

[0024]

[0025] In the formula, Fz represents the water supply interruption risk index, q1 and d1 represent the actual pressure and flow, respectively, and q2 and d2 represent the rated pressure and flow, respectively.

[0026] Preferably, the thermal power unit data processing module sets a threshold value according to the blockage risk index Fx. When the blockage risk index exceeds the preset threshold value, the system will automatically start the instructions to increase the flow rate and flow direction control. The threshold value is set according to the scaling risk index Fj. When the scaling risk index exceeds the preset threshold value, the system will automatically adjust the water quality management and anti-corrosion measures. The threshold value is set according to the water supply interruption risk index Fz. When the water supply interruption risk index exceeds the preset threshold value, the system will automatically start the emergency plan.

[0027] Compared with the prior art, the present invention provides a flue gas desulfurization control system for thermal power units, which has the following beneficial effects:

[0028] 1. The present invention collects the deviations between the actual flow rate and the designed flow rate, and between the actual flow direction and the designed flow direction. The system can adjust the flow rate and flow direction control in real time according to the statistical data to reduce dead corners and sediment accumulation, and calculate the blockage risk index Fx by using the streamline design coefficient and the self-cleaning ability coefficient, so that the system can quantify the effect of the streamline design on reducing fluid resistance and the strength of the system's self-cleaning ability, so as to perform more accurate design optimization. The system can automatically start the instructions to increase the flow rate and flow direction control according to the blockage risk index to achieve automatic control, reduce manual intervention, and improve blockage removal efficiency.

[0029] 2. The present invention monitors and calculates the scaling risk index Fj in real time. The system can detect potential scaling problems in time, so as to take measures in advance to avoid serious impact of scaling on equipment. The scaling removal capacity of pipelines is comprehensively improved through the automated system response mechanism, and the service life of pipelines and equipment is increased. When the scaling risk index Fj exceeds the preset threshold, the system will automatically adjust the water quality management and anti-corrosion measures to reduce manual intervention, improve management efficiency, and contribute to the stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See also Figure 1 , a flue gas desulfurization control system for a thermal power unit, comprising a thermal power unit data monitoring module, a thermal power unit data collection module, a thermal power unit data analysis module, a thermal power unit data processing module and a thermal power unit data management module;

[0033] The thermal power unit data monitoring module is responsible for real-time monitoring of the flue gas composition, pipeline temperature, pipeline pressure, pollution content and fault status of the thermal power unit during operation. It collects data through monitoring equipment, sensors and intelligent online detectors to provide a classification basis for subsequent data collection;

[0034] The thermal power unit data collection module is responsible for classifying, summarizing and preprocessing the monitored data, and numbering the data after storage, which can ensure the integrity and accuracy of the data and provide a reliable data source for data analysis;

[0035] The thermal power unit data analysis module conducts in-depth analysis of the collected data to identify potential problems in the desulfurization process and the space for optimization. Through data analysis, it can predict equipment failures and optimize operating parameters to improve desulfurization efficiency.

[0036] The data processing module of the thermal power unit generates control instructions based on the results of data analysis and makes real-time adjustments to the desulfurization system. It ensures the stable operation of the desulfurization system through precise control algorithms, keeps pipelines and equipment unobstructed and clean, and ensures a continuous supply of process water, while meeting environmental protection requirements.

[0037] The data management module of the thermal power unit includes the functions of user interface design, system configuration and security management. The system configuration function allows the administrator to optimize the system parameters according to the actual needs of the data processing module of the thermal power unit to adapt to different operating conditions and environments. The security management function ensures the security and integrity of the system data through user authentication, permission control and log recording, and prevents unauthorized access and operation.

[0038] The blockage monitoring data collection unit, the scaling monitoring data collection unit and the process water supply monitoring data collection unit. The blockage monitoring data collection unit obtains the blockage monitoring data of the pressure and flow changes of the demister, GGH (flue gas heat exchanger) and pipeline through the Internet. The scaling monitoring data collection unit obtains the scaling monitoring data of the chloride ion and sulfite content in the slurry and the temperature change of the inner wall of the equipment through the Internet. The process water supply monitoring data collection unit obtains the supply of process water through the Internet, including the process water supply monitoring data of the water pump status, water pipe pressure and flow.

[0039] The blockage monitoring data collection unit numbers the actual flow velocity, design flow velocity, actual flow direction, design flow direction, number of dead ends, sediment mass at all detected nodes, and the corresponding area represented by all detected nodes according to the blockage monitoring data characteristics. The actual flow velocity, design flow velocity, actual flow direction, design flow direction, and number of dead ends are numbered v1, v2, g1, g2, n, respectively, and the sediment mass at all detected nodes is numbered w1, w2, w3, ... w m , the areas represented by all detected nodes are numbered s1, s2, s3, ...s m .

[0040] The scaling monitoring data collection unit numbers the chloride ion content, sulfite content and scaling layer thickness according to the scaling monitoring data characteristics. The chloride ion content, sulfite content and scaling layer thickness are numbered C1, C2 and h respectively.

[0041] The process water supply monitoring data collection unit numbers the actual pressure and flow rate according to the process water supply monitoring data characteristics, and numbers the rated pressure and flow rate. The actual pressure and flow rate are numbered q1 and d1 respectively, and the rated pressure and flow rate are numbered q2 and d2 respectively.

[0042] The data analysis module of the thermal power unit includes a blockage risk assessment unit, a scaling risk assessment unit and a process water interruption risk assessment unit.

[0043] The congestion risk assessment unit calculates the congestion risk index Fx based on the congestion monitoring data, and the calculation formula is:

[0044]

[0045] In the formula, Fx represents the blockage risk index, v1 and v2 represent the actual flow rate and the design flow rate respectively. It represents the flow rate control deviation, that is, the deviation between the actual flow rate and the designed flow rate. g1 and g2 represent the actual flow direction and the designed flow direction respectively. represents the flow direction control deviation, that is, the deviation between the actual flow direction and the designed flow direction, n represents the number of dead ends, that is, the number of dead ends in the system pipeline, w1, w2, w3, ... w m represents the sediment mass at all detected nodes, s1, s2, s3, …s m Indicates the area represented by all detected nodes, w i 、s i They represent the sediment mass at the detected i-th node and the area represented by the detected i-th node, respectively. m represents the number of nodes. It represents the amount of sediment accumulation, that is, the total amount of sediment in the system; α represents the streamlined design coefficient of the system, that is, the degree of reduction of fluid resistance is scored according to the streamlined design; θ represents the self-cleaning ability coefficient set by the system, that is, the system is scored according to the strength of its self-cleaning ability.

[0046] By calculating the blockage risk index Fx, the data processing module of the thermal power unit sets a threshold value according to the blockage risk index Fx. When the blockage risk index exceeds the preset threshold value, the system will automatically start the instructions to increase the flow rate and flow direction control to reduce dead corners and sediment accumulation, and adjust the desulfurization system to increase the flow rate, streamlined design optimization and regular purging (increase the flow rate: by adjusting the pumping capacity of the desulfurization system to improve the self-cleaning ability of the system; streamlined design optimization: optimize the design of pipelines and equipment, and use streamlined design to reduce fluid resistance and improve cleaning efficiency; regular purging: formulate a detailed maintenance plan, regularly clean and purge equipment and pipelines, and use high-efficiency purging equipment).

[0047] The advantages are: by collecting the deviations between the actual flow rate and the designed flow rate, and the actual flow direction and the designed flow direction, the system can adjust the flow rate and flow direction control in real time according to the statistical data to reduce dead corners and sediment accumulation, and use the streamlined design coefficient and the self-cleaning ability coefficient to calculate the blockage risk index Fx, so that the system can quantify the effect of the streamlined design on reducing fluid resistance, as well as the strength of the system's self-cleaning ability, so as to perform more accurate design optimization. The system can automatically start the instructions to increase the flow rate and flow direction control according to the blockage risk index to achieve automatic control, reduce manual intervention, and improve blockage removal efficiency.

[0048] The scaling risk assessment unit calculates the scaling risk index Fj based on the scaling monitoring data. The calculation formula is:

[0049]

[0050] In the formula, Fj represents the scaling risk index, C1 represents the chloride ion content, that is, the actual content of chloride ions in the slurry, C2 represents the sulfite content, that is, the actual content of sulfite in the slurry, h represents the scaling layer thickness, that is, the average thickness of the scaling layer on the inner wall, p1 represents the softening water treatment efficiency set by the system, that is, the efficiency of the softening water treatment technology in removing calcium and magnesium ions, p2 represents the anti-corrosion coating effect set by the system, that is, the effect of the anti-corrosion coating on the protection of the metal surface, and p3 represents the cleaning frequency preset by the system, that is, the frequency of regular cleaning.

[0051] By calculating the scaling risk index Fj, the data processing module of the thermal power unit sets a threshold value according to the scaling risk index Fj. When the scaling risk index exceeds the preset threshold value, the system will automatically adjust the water quality management and anti-corrosion measures, and adjust the water quality management, anti-corrosion coating and regular cleaning of the desulfurization system (water quality management: strictly control the chloride ion and sulfite content in the slurry, and use softening water treatment technology to remove calcium and magnesium ions in the water; anti-corrosion coating: apply anti-corrosion coating on the inner wall of the desulfurization equipment container and pipeline to prevent chloride ions and other corrosive substances from corroding the metal surface; regular cleaning: formulate a regular cleaning plan, use efficient cleaning agents and tools to thoroughly remove scaling on the inner wall).

[0052] The advantages are: through real-time monitoring and calculation of the scaling risk index Fj, the system can promptly detect potential scaling problems, so as to take measures in advance to avoid serious impact of scaling on the equipment. Through the automated system response mechanism, the scaling removal capacity of the pipeline is comprehensively improved, and the service life of the pipeline and equipment is increased. When the scaling risk index Fj exceeds the preset threshold, the system will automatically adjust the water quality management and anti-corrosion measures to reduce manual intervention, improve management efficiency, and contribute to the stable operation of the system.

[0053] The process water interruption risk assessment unit calculates the water supply interruption risk index Fz based on the process water supply monitoring data. The calculation formula is:

[0054]

[0055] In the formula, Fz represents the water supply interruption risk index, q1 and d1 represent the actual pressure and flow, respectively, and q2 and d2 represent the rated pressure and flow, respectively.

[0056] By calculating the water supply interruption risk index Fz, the data processing module of the thermal power unit sets a threshold value according to the water supply interruption risk index Fz. When the water supply interruption risk index exceeds the preset threshold value, the system will automatically start the emergency plan to ensure the continuous supply of process water, and conduct redundant design of the desulfurization system, real-time monitoring parameters, alarm system, and emergency plan adjustments (redundant design: introduce redundant design, such as dual power supply, backup water pump, etc., to ensure that the system can still operate normally even if a component fails; real-time monitoring and alarm system: install real-time monitoring equipment to monitor the supply of process water, and immediately issue an alarm signal once an abnormality is found; emergency plan: formulate a detailed emergency plan, including emergency water supply plan, equipment repair process, etc. Conduct emergency drills regularly to improve the emergency handling capabilities of staff).

[0057] The advantages are: through real-time monitoring and water supply interruption risk index Fz, the system can promptly detect potential water supply interruption problems, so as to take measures in advance to avoid serious impact of water supply interruption on equipment. Using precise calculation formula, the system can accurately evaluate the water supply interruption risk level according to the water supply interruption risk index Fz and the threshold range, providing a reliable basis for subsequent adjustments. When the water supply interruption risk index exceeds the risk level of a certain stage, the system will automatically activate the emergency plan to reduce manual intervention and improve management efficiency.

[0058] Comprehensiveness: This unit not only takes into account the actual pressure and flow, but also comprehensively considers multiple factors such as rated pressure and flow, making the evaluation results more comprehensive and accurate.

[0059] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A flue gas desulfurization control system for a thermal power unit, characterized in that: It includes a thermal power unit data monitoring module, a thermal power unit data collection module, a thermal power unit data analysis module, a thermal power unit data processing module and a thermal power unit data management module; The thermal power unit data monitoring module is responsible for real-time monitoring of the flue gas composition, pipeline temperature, pipeline pressure, pollution content and fault status of the thermal power unit during operation, and collects data through monitoring equipment, sensors and intelligent online detectors; The thermal power unit data collection module is responsible for classifying, summarizing and preprocessing the monitored data, and numbering the data after storage; The thermal power unit data analysis module conducts in-depth analysis on the collected data to identify potential problems in the desulfurization process and also the room for optimization; The thermal power unit data processing module generates control instructions based on the results of data analysis to adjust the desulfurization system in real time; The thermal power unit data management module includes functions of user interface design, system configuration and security management. The system configuration function allows the administrator to optimize system parameters according to the actual needs of the thermal power unit data processing module.

2. A flue gas desulfurization control system for a thermal power unit according to claim 1, characterized in that: The blockage monitoring data collection unit, the scaling monitoring data collection unit and the process water supply monitoring data collection unit, the blockage monitoring data collection unit obtains blockage monitoring data via the Internet, the scaling monitoring data collection unit obtains scaling monitoring data via the Internet, and the process water supply monitoring data collection unit obtains process water supply monitoring data via the Internet.

3. A flue gas desulfurization control system for a thermal power unit according to claim 2, characterized in that: The blockage monitoring data collection unit performs data numbering on the actual flow rate, the design flow rate, the actual flow direction, the design flow direction, the number of dead ends, the sediment mass at all detected nodes and the corresponding areas represented by all detected nodes according to the blockage monitoring data characteristics. The actual flow rate, the design flow rate, the actual flow direction, the design flow direction and the number of dead ends are numbered v1, v2, g1, g2, n respectively, and the sediment mass at all detected nodes is numbered w1, w2, w3, ... w m The areas represented by all detected nodes are numbered as s1, s2, s3, ...s m .

4. A flue gas desulfurization control system for a thermal power unit according to claim 2, characterized in that: The scaling monitoring data collection unit numbers the chloride ion content, the sulfite content and the scaling layer thickness according to the scaling monitoring data characteristics, and the chloride ion content, the sulfite content and the scaling layer thickness are numbered C1, C2 and h respectively.

5. A flue gas desulfurization control system for a thermal power unit according to claim 2, characterized in that: The process water supply monitoring data collection unit performs data numbering on the actual pressure and flow rate according to the process water supply monitoring data characteristics, and performs data numbering on the rated pressure and flow rate, the actual pressure and flow rate are numbered q1 and d1 respectively, and the rated pressure and flow rate are numbered q2 and d2 respectively.

6. A flue gas desulfurization control system for a thermal power unit according to claim 1, characterized in that: The thermal power unit data analysis module includes a blockage risk assessment unit, a scaling risk assessment unit and a process water interruption risk assessment unit.

7. A flue gas desulfurization control system for a thermal power unit according to claim 6, characterized in that: The congestion risk assessment unit calculates the congestion risk index Fx according to the congestion monitoring data, and the calculation formula is: In the formula, Fx represents the blockage risk index, v1 and v2 represent the actual flow rate and the design flow rate respectively. It indicates the flow rate control deviation, g1 and g2 respectively indicate the actual flow direction and the designed flow direction. represents the flow control deviation, n represents the number of dead angles, w1, w2, w3, ... w m represents the sediment mass at all detected nodes, s1, s2, s3, …s m Indicates the area represented by all detected nodes, w i 、s i They represent the sediment mass at the detected i-th node and the area represented by the detected i-th node, respectively. m represents the number of nodes. represents the amount of sediment accumulation, α represents the streamline design coefficient of the system, Indicates the self-cleaning ability coefficient set by the system.

8. A flue gas desulfurization control system for a thermal power unit according to claim 6, characterized in that: The scaling risk assessment unit calculates the scaling risk index Fj according to the scaling monitoring data, and the calculation formula is: In the formula, Fj represents the scaling risk index, C1 represents the chloride ion content, C2 represents the sulfite content, h represents the scaling layer thickness, p1 represents the softening water treatment efficiency set by the system, p2 represents the anti-corrosion coating effect set by the system, and p3 represents the cleaning frequency set by the system.

9. A flue gas desulfurization control system for a thermal power unit according to claim 6, characterized in that: The process water interruption risk assessment unit calculates the water supply interruption risk index Fz according to the process water supply monitoring data, and its calculation formula is: In the formula, Fz represents the water supply interruption risk index, q1 and d1 represent the actual pressure and flow, respectively, and q2 and d2 represent the rated pressure and flow, respectively.

10. A flue gas desulfurization control system for a thermal power unit according to claim 9, characterized in that: The thermal power unit data processing module sets a threshold value according to the blockage risk index Fx. When the blockage risk index exceeds the preset threshold value, the system will automatically start the instructions to increase the flow rate and flow direction control. The threshold value is set according to the scaling risk index Fj. When the scaling risk index exceeds the preset threshold value, the system will automatically adjust the water quality management and anti-corrosion measures. The threshold value is set according to the water supply interruption risk index Fz. When the water supply interruption risk index exceeds the preset threshold value, the system will automatically start the emergency plan.

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