Methods, devices, and systems for diagnosing abnormal gypsum density in absorber towers of wet desulfurization systems

Abstract

This application discloses a method, apparatus, system, and storage medium for diagnosing abnormal gypsum density in the absorber of a wet desulfurization system, used for automatic detection of system faults. The method includes: obtaining the parameter value of a first preset parameter characterizing the density of the absorber slurry; determining whether the absorber slurry density exceeds a preset threshold based on the parameter value of the first preset parameter; when the absorber slurry density exceeds the preset threshold, traversing a pre-constructed fault tree for abnormal absorber slurry density in the desulfurization system to obtain the parameter type of a second preset parameter recorded in the second-level child nodes of the fault tree; obtaining the parameter value of the second preset parameter at the current moment based on the parameter type of the second preset parameter; and determining the absorber fault type causing the abnormal absorber slurry density based on the parameter value of the second preset parameter at the current moment. This method can improve the efficiency and accuracy of system fault diagnosis.

Description

Technical Field

[0001] This application relates to the field of fault detection technology, and in particular to a method, device, system and storage medium for diagnosing abnormal gypsum density in the absorption tower of a wet desulfurization system. Background Technology

[0002] Against the backdrop of "Internet+" driving the intelligent development of coal-fired power plants, integrating advanced technologies with power energy systems has become a new goal. Current fault diagnosis and analysis mainly rely on the inspection and judgment of personnel. On the one hand, this reliance on personnel judgment is prone to misjudgment due to human fatigue and lack of experience; on the other hand, the increasing variety of equipment and the resulting malfunctions make timely handling difficult.

[0003] Therefore, how to provide a diagnostic method for abnormal gypsum density in the absorber tower of a wet desulfurization system to improve the diagnostic efficiency and accuracy of system faults has become an urgent technical problem to be solved. Summary of the Invention

[0004] This application provides a method, apparatus, system, and storage medium for diagnosing abnormal gypsum density in the absorber tower of a wet desulfurization system, in order to improve the efficiency and accuracy of system fault diagnosis.

[0005] This application provides a method for diagnosing abnormal gypsum density in the absorber tower of a wet desulfurization system, including:

[0006] Obtain the parameter value of the first preset parameter used to characterize the density of the gypsum slurry in the absorption tower;

[0007] Determine whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter;

[0008] When the density of the gypsum slurry in the absorption tower is higher than a preset threshold, the pre-constructed fault tree of abnormal gypsum slurry density in the absorption tower of the desulfurization system is traversed to obtain the parameter type of the second preset parameter recorded by the second-level sub-node of the fault tree. The second-level sub-node is used to record the parameter type and parameter value range corresponding to various fault types that cause abnormal absorption tower density.

[0009] Based on the parameter type of the second preset parameter, obtain the parameter value of the second preset parameter of the absorption tower at the current moment;

[0010] The type of absorption tower failure that causes abnormal density of gypsum slurry in the absorption tower of the desulfurization system is determined based on the parameter value of the second preset parameter of the absorption tower at the current moment.

[0011] The beneficial effects of this application are as follows: obtaining the parameter value of a first preset parameter used to characterize the density of gypsum slurry in the absorption tower; determining whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter; when the density of the gypsum slurry in the absorption tower is higher than the preset threshold, traversing a pre-constructed fault tree for abnormal gypsum slurry density in the absorption tower of the desulfurization system, to obtain the parameter type of the second preset parameter recorded by the secondary child node of the fault tree, wherein the secondary child node is used to record the parameter type and parameter value range corresponding to various fault types that cause abnormal absorption tower density; obtaining the parameter value of the second preset parameter at the current moment of the absorption tower based on the parameter type of the second preset parameter; determining the absorption tower fault type that causes abnormal gypsum slurry density in the absorption tower of the desulfurization system based on the parameter value of the second preset parameter at the current moment of the absorption tower. Since when the density of the gypsum slurry in the absorber tower is higher than the preset threshold, this application can analyze the parameter value of the second preset parameter based on the pre-constructed fault tree of the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system, and automatically determine the fault type of the absorber tower based on the parameter value of the second preset parameter, without relying on the inspection and judgment of the staff, thus improving the diagnostic efficiency and accuracy of the system fault.

[0012] In one embodiment, determining whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter includes:

[0013] When the density of the gypsum slurry in the absorption tower is greater than a first preset concentration value, and / or when the current of the slurry circulation pump in the absorption tower is greater than a preset current threshold, it is determined that the density of the gypsum slurry in the absorption tower is higher than the preset threshold.

[0014] In one embodiment, the method for constructing a fault tree for abnormal gypsum slurry density in the desulfurization system absorber tower is as follows:

[0015] The normal range of gypsum slurry density in the absorption tower is used as the main node, the fault type that causes abnormal gypsum slurry density in the absorption tower is used as the first-level sub-node, and the parameter type and normal value range of the second preset parameter corresponding to the fault type are used as the second-level sub-node to construct the fault tree of abnormal gypsum slurry density in the absorption tower of the desulfurization system.

[0016] In one embodiment, the method further includes:

[0017] Once the type of absorption tower failure that causes the abnormal density of gypsum slurry in the absorption tower of the desulfurization system is determined, a fault repair plan is determined based on the second preset parameter value that causes the fault type.

[0018] Issue a fault alarm and display the fault type of the absorption tower and the corresponding repair plan.

[0019] In one embodiment, determining the absorber tower fault type causing abnormal gypsum slurry density in the desulfurization system absorber tower based on the parameter value of a second preset parameter at the current moment includes:

[0020] Determine whether the value of the second preset parameter of the absorption tower at the current moment exceeds the value range of the second preset parameter recorded by the secondary sub-node;

[0021] When the value of the second preset parameter of the absorber tower at the current moment exceeds the value range of the second preset parameter recorded by the second-level sub-node, the first-level sub-node connected to the second-level sub-node is traced to determine the absorber tower fault type that causes the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system. The fault type corresponding to the value of the second preset parameter that exceeds the value range of the second preset parameter recorded by the second-level sub-node is recorded in the first-level sub-node connected to the second-level sub-node.

[0022] In one embodiment, the second preset parameter includes the density of desulfurization flushing water. Determining whether the value of the second preset parameter at the current moment exceeds the value range of the second preset parameter recorded by the secondary sub-node includes:

[0023] Obtain the range of values ​​for the desulfurization flushing water density recorded in the second-level child nodes of the fault tree;

[0024] The density of the desulfurization flushing water at the current moment in the absorption tower is compared with the range of values ​​for the desulfurization flushing water density to determine whether the density of the desulfurization flushing water at the current moment in the absorption tower exceeds the range of values ​​for the desulfurization flushing water density.

[0025] When the value of the second preset parameter of the absorber tower at the current moment exceeds the value range of the second preset parameter recorded by the secondary sub-node, the primary sub-node connected to the secondary sub-node is traced to determine the absorber tower fault type that causes the abnormal density of the gypsum slurry in the desulfurization system absorber tower, including:

[0026] When the density of the desulfurization flushing water in the absorption tower at the current moment exceeds the range of the desulfurization flushing water density, the primary sub-node connected to the secondary sub-node is traced. When the second preset parameter is the desulfurization flushing water density, the fault type recorded by the primary sub-node connected to the secondary sub-node that records the second preset parameter is density meter inaccuracy.

[0027] Based on the source tracing results, the fault type of the absorber tower that caused the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system was determined to be density meter inaccuracy.

[0028] In one embodiment, the step of including limestone slurry supply in the second preset parameter, and determining the absorber fault type causing abnormal gypsum slurry density in the desulfurization system absorber based on the parameter value of the second preset parameter at the current moment, includes:

[0029] Obtain the limestone slurry supply and preset original clean flue gas parameters;

[0030] Calculate the theoretical limestone slurry supply based on the original net flue gas parameters;

[0031] When the difference between the limestone slurry supply and the theoretical limestone slurry supply exceeds the preset ratio of the theoretical slurry supply, the abnormal density of the gypsum slurry in the desulfurization system absorption tower is determined to be due to excessive limestone slurry supply.

[0032] This application also provides a diagnostic device for abnormal gypsum density in the absorber tower of a wet desulfurization system, comprising:

[0033] The first acquisition module is used to acquire the parameter value of a first preset parameter used to characterize the density of the gypsum slurry in the absorption tower;

[0034] The judgment module is used to determine whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter.

[0035] The traversal module is used to traverse the pre-constructed fault tree of abnormal gypsum slurry density in the desulfurization system absorber tower when the density of the gypsum slurry in the absorber tower is higher than a preset threshold, so as to obtain the parameter type of the second preset parameter recorded by the second-level sub-node of the fault tree. The second-level sub-node is used to record the parameter type and parameter value range corresponding to various fault types that cause abnormal absorber tower density.

[0036] The second acquisition module is used to acquire the parameter value of the second preset parameter of the absorption tower at the current moment according to the parameter type of the second preset parameter;

[0037] The first determining module is used to determine the type of absorption tower failure that causes abnormal density of gypsum slurry in the absorption tower of the desulfurization system based on the parameter value of the second preset parameter at the current moment of the absorption tower.

[0038] In one embodiment, the determining module is further configured to:

[0039] When the density of the gypsum slurry in the absorption tower is greater than a first preset concentration value, and / or when the current of the slurry circulation pump in the absorption tower is greater than a preset current threshold, it is determined that the density of the gypsum slurry in the absorption tower is higher than the preset threshold.

[0040] In one embodiment, the method for constructing a fault tree for abnormal gypsum slurry density in the desulfurization system absorber tower is as follows:

[0041] The normal range of gypsum slurry density in the absorption tower is used as the main node, the fault type that causes abnormal gypsum slurry density in the absorption tower is used as the first-level sub-node, and the parameter type and normal value range of the second preset parameter corresponding to the fault type are used as the second-level sub-node to construct the fault tree of abnormal gypsum slurry density in the absorption tower of the desulfurization system.

[0042] In one embodiment, the apparatus further includes:

[0043] The second determining module is used to determine a fault repair plan based on a second preset parameter value that causes the abnormal density of the gypsum slurry in the desulfurization system absorption tower after determining the type of absorption tower fault that causes the fault type.

[0044] The alarm module is used to issue fault alarms and display the fault type of the absorption tower and the corresponding repair plan.

[0045] In one embodiment, the first determining module includes:

[0046] The judgment submodule is used to determine whether the value of the second preset parameter of the absorption tower at the current moment exceeds the value range of the second preset parameter recorded by the secondary sub-node;

[0047] The tracing submodule is used to trace the source of the first-level sub-node connected to the second-level sub-node when the value of the second preset parameter of the current absorption tower exceeds the value range of the second preset parameter recorded by the second-level sub-node, so as to determine the absorption tower fault type that causes the abnormal density of gypsum slurry in the absorption tower of the desulfurization system. The fault type corresponding to the value of the second preset parameter that exceeds the value range of the second preset parameter recorded by the second-level sub-node is recorded in the first-level sub-node connected to the second-level sub-node.

[0048] In one embodiment, the second preset parameter includes the density of desulfurization flushing water, and the determination submodule is further configured to:

[0049] Obtain the range of values ​​for the desulfurization flushing water density recorded in the second-level child nodes of the fault tree;

[0050] The density of the desulfurization flushing water at the current moment in the absorption tower is compared with the range of values ​​for the desulfurization flushing water density to determine whether the density of the desulfurization flushing water at the current moment in the absorption tower exceeds the range of values ​​for the desulfurization flushing water density.

[0051] The source tracing submodule is also used for:

[0052] When the density of the desulfurization flushing water in the absorption tower at the current moment exceeds the range of the desulfurization flushing water density, the opening and closing status of the density meter inlet valve and the flushing valve are obtained.

[0053] When the density meter inlet valve is closed and the flushing valve is open, the fault type of the absorption tower that causes the abnormal density of the gypsum slurry in the desulfurization system absorption tower is determined to be density meter inaccuracy.

[0054] In one embodiment, the second preset parameter includes the limestone slurry supply amount, and the first determining module includes:

[0055] The acquisition submodule is used to acquire the limestone slurry supply and preset original net flue gas parameters;

[0056] The calculation submodule is used to calculate the theoretical limestone slurry supply based on the original net flue gas parameters;

[0057] The determination submodule is used to determine that the abnormal density of the gypsum slurry in the desulfurization system absorption tower is due to excessive limestone supply when the difference between the limestone slurry supply and the theoretical limestone slurry supply is greater than a preset ratio of the theoretical slurry supply.

[0058] This application also provides a diagnostic system for abnormal gypsum density in the absorber tower of a wet desulfurization system, comprising:

[0059] At least one processor; and,

[0060] A memory communicatively connected to the at least one processor; wherein,

[0061] The memory stores instructions that can be executed by the at least one processor to implement the method for diagnosing abnormal gypsum density in the absorber tower of a wet desulfurization system as described in any of the above embodiments.

[0062] This application also provides a computer-readable storage medium, which, when the instructions in the storage medium are executed by the processor corresponding to the wet desulfurization system absorber tower gypsum density anomaly diagnosis system, enables the wet desulfurization system absorber tower gypsum density anomaly diagnosis system to implement the wet desulfurization system absorber tower gypsum density anomaly diagnosis method described in any of the above embodiments.

[0063] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0064] The technical solution of this application will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0065] The accompanying drawings are provided to further illustrate the present application and form part of the specification. They are used together with the embodiments of the present application to explain the application and do not constitute a limitation thereof. In the drawings:

[0066] Figure 1 This is a flowchart of a method for diagnosing abnormal gypsum density in the absorber tower of a wet desulfurization system according to an embodiment of this application;

[0067] Figure 2 This is a schematic diagram of a gypsum density anomaly diagnostic device for a wet desulfurization system absorber tower according to an embodiment of this application;

[0068] Figure 3 This is a schematic diagram of the hardware structure of a wet desulfurization system absorption tower gypsum density anomaly diagnosis system according to an embodiment of this application. Detailed Implementation

[0069] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application.

[0070] Figure 1 This is a flowchart of a method for diagnosing abnormal gypsum density in the absorber tower of a wet desulfurization system according to an embodiment of this application, such as... Figure 1 As shown, the method can be implemented as follows: S101-S105:

[0071] In step S101, the parameter value of the first preset parameter used to characterize the density of the gypsum slurry in the absorption tower is obtained;

[0072] In step S102, it is determined whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter.

[0073] In step S103, when the density of the gypsum slurry in the absorption tower is higher than a preset threshold, the fault tree of abnormal density of gypsum slurry in the absorption tower of the desulfurization system is traversed to obtain the parameter type of the second preset parameter recorded by the second-level sub-node of the fault tree. The second-level sub-node is used to record the parameter type and parameter value range corresponding to various fault types that cause abnormal density in the absorption tower.

[0074] In step S104, the parameter value of the second preset parameter at the current moment is obtained according to the parameter type of the second preset parameter;

[0075] In step S105, the type of absorption tower failure that causes the abnormal density of gypsum slurry in the absorption tower of the desulfurization system is determined based on the parameter value of the second preset parameter of the absorption tower at the current moment.

[0076] In this application, a parameter value for a first preset parameter used to characterize the density of the gypsum slurry in the absorption tower is obtained; based on the parameter value of the first preset parameter, it is determined whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold. To determine under what conditions the gypsum slurry density is considered high, the actual density value at the measuring point can be directly used to determine the operating limit of the density, combined with on-site requirements. When the density of the gypsum slurry in the absorption tower is greater than the first preset concentration value, it is determined that the density of the gypsum slurry in the absorption tower is higher than the preset threshold. If there are no measuring points on-site, it is necessary to deduce whether the density is within the normal operating range through other equipment parameters, such as the current of the absorption tower slurry circulation pump. Therefore, it is necessary to set a signal measuring point that can represent the start of the circulation pump as a shielding condition, so that the change in the circulation pump current matches the actual situation. For example, the change in circulating pump current can be directly compared with a preset current threshold. When the circulating pump current of the absorber slurry is greater than the preset current threshold, it is determined that the density of the absorber slurry is higher than the preset threshold. In another embodiment of this application, the density of the gypsum slurry is determined by the following formula, and then the density of the gypsum slurry is compared with a first preset concentration value. When the density of the absorber slurry is greater than the first preset concentration value, it is determined that the density of the absorber slurry is higher than the preset threshold.

[0077]

[0078] Where, ρ 浆液 ρ is the actual value of the density of the gypsum slurry. 基准 I is the reference value for the density of gypsum slurry. 实际 For the actual current monitored, I 基准 For ρ 基准 The average current of the circulating pump under operating conditions, where α is a correction factor.

[0079] Wherein, α can be determined experimentally using the following formula:

[0080]

[0081] Where Δρ is the density change and ΔI is the corresponding current change.

[0082] When the density of the gypsum slurry in the absorption tower is higher than a preset threshold, the pre-constructed fault tree of abnormal gypsum slurry density in the desulfurization system absorption tower is traversed to obtain the parameter type of the second preset parameter recorded by the second-level sub-node of the fault tree. The second-level sub-node is used to record the parameter type and parameter value range corresponding to various fault types that cause abnormal absorption tower density.

[0083] In this application, a fault tree is pre-constructed, with the normal range of the absorber tower gypsum slurry density as the main node; the fault types causing abnormal absorber tower gypsum slurry density as first-level sub-nodes, such as densitometer inaccuracy, insufficient dewatering capacity, and excessive limestone slurry supply; and the parameter type and normal value range of the second preset parameter corresponding to the fault type as second-level sub-nodes. For example, densitometer inaccuracy can be determined based on the density of desulfurization flushing water or the fluctuation frequency of absorber tower gypsum slurry density. Therefore, the second-level sub-nodes corresponding to densitometer inaccuracy are the desulfurization flushing water density and the fluctuation frequency of absorber tower gypsum slurry density, thus constructing a fault tree for abnormal absorber tower gypsum slurry density in the desulfurization system. When the fault type or the parameter corresponding to the fault type changes, it can be achieved simply by adding or deleting from the existing fault tree, improving the practicality of this application. The normal value range of the second preset parameter can be a fixed value or a dynamic value determined according to the operating conditions.

[0084] Based on the parameter type of the second preset parameter, the parameter value of the second preset parameter at the current moment of the absorber is obtained; based on the parameter value of the second preset parameter at the current moment of the absorber, the type of absorber fault causing the abnormal density of gypsum slurry in the absorber of the desulfurization system is determined. Specifically, it is determined whether the parameter value of the second preset parameter at the current moment of the absorber exceeds the value range of the second preset parameter recorded by the secondary sub-node; when the parameter value of the second preset parameter at the current moment of the absorber exceeds the value range of the second preset parameter recorded by the secondary sub-node, the primary sub-node connected to the secondary sub-node is traced to determine the type of absorber fault causing the abnormal density of gypsum slurry in the absorber of the desulfurization system, wherein the fault type corresponding to the second preset parameter value exceeding the value range of the second preset parameter recorded by the secondary sub-node is recorded in the primary sub-node connected to the secondary sub-node.

[0085] For example, when the second preset parameter includes the density of desulfurization flushing water, the range of values ​​for the desulfurization flushing water density recorded by the secondary sub-nodes in the fault tree is obtained; the current desulfurization flushing water density of the absorber is compared with the range of values ​​for the desulfurization flushing water density to determine whether the current desulfurization flushing water density of the absorber exceeds the range of values ​​for the desulfurization flushing water density; when the current desulfurization flushing water density of the absorber exceeds the range of values ​​for the desulfurization flushing water density, the primary sub-nodes connected to the secondary sub-nodes are traced, wherein, when the second preset parameter is the density of desulfurization flushing water, the fault type recorded by the primary sub-node connected to the secondary sub-node recording the second preset parameter is density meter inaccuracy; based on the traceability results, the absorber fault type causing the abnormal density of the gypsum slurry in the absorber of the desulfurization system is determined to be density meter inaccuracy. It is understandable that determining the density meter malfunction requires the density meter to be in use. Therefore, in one embodiment of this application, when tracing the source of the first-level sub-node, the opening and closing status of the density meter inlet valve and the flushing valve are also obtained. When the density meter inlet valve is closed and the flushing valve is open, the cause of the abnormal density of the gypsum slurry in the desulfurization system absorption tower is determined to be the density meter malfunction.

[0086] When the second preset parameter is the density fluctuation frequency of the gypsum slurry in the absorber tower, the range of values ​​for the density fluctuation frequency of the gypsum slurry in the absorber tower recorded in the secondary sub-nodes of the fault tree is obtained; the density fluctuation frequency of the gypsum slurry in the absorber tower at the current moment is compared with the range of values ​​for the density fluctuation frequency of the gypsum slurry in the absorber tower at the current moment to determine whether the density fluctuation frequency of the gypsum slurry in the absorber tower at the current moment exceeds the range of values ​​for the density fluctuation frequency of the gypsum slurry in the absorber tower; when the density fluctuation frequency of the gypsum slurry in the absorber tower at the current moment exceeds the range of values ​​for the density fluctuation frequency of the gypsum slurry in the absorber tower, the primary sub-nodes connected to the secondary sub-nodes are traced, wherein, when the second preset parameter is the density fluctuation frequency of the gypsum slurry in the absorber tower, the fault type recorded by the primary sub-node connected to the secondary sub-node of the second preset parameter is density meter inaccuracy; based on the traceability results, the absorber tower fault type causing the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system is determined to be density meter inaccuracy. Similarly, determining that the densitometer is inaccurate needs to be done when the densitometer is in use. Therefore, in one embodiment of this application, when tracing the source of the first-level sub-node, the opening and closing status of the densitometer inlet valve and the flushing valve are also obtained. When the densitometer inlet valve is in the open state and the flushing valve is in the closed state, it is determined that the abnormal density of the gypsum slurry in the desulfurization system absorption tower is due to the densitometer being inaccurate.

[0087] When the second preset parameters include the number of hydrocyclones engaged and the hydrocyclone pressure, the operating status of the dewatering system is obtained. When the dewatering system is in the start-up state, the number of hydrocyclones engaged and the hydrocyclone pressure are obtained. Based on the number of hydrocyclones engaged, the hydrocyclone pressure range recorded by the secondary sub-nodes in the fault tree is obtained. When the hydrocyclone pressure exceeds the range of the hydrocyclone pressure, the primary sub-nodes connected to the secondary sub-nodes are traced. Specifically, when the second preset parameter is the hydrocyclone pressure, the fault type recorded by the primary sub-node connected to the secondary sub-node recording the second preset parameter is insufficient dewatering capacity. Based on the tracing results, the fault type of the absorber tower causing the abnormal density of the gypsum slurry in the desulfurization system's absorber tower is determined to be insufficient dewatering capacity. Of course, when the dewatering system is in the non-start-up state, the cause of the abnormal density of the gypsum slurry in the desulfurization system's absorber tower is determined to be insufficient dewatering capacity.

[0088] When the second preset parameter is the inlet SO2 concentration, the range of inlet SO2 concentration recorded in the secondary sub-nodes of the fault tree is obtained; the inlet SO2 concentration is compared with the range of inlet SO2 concentration to determine whether the inlet SO2 concentration exceeds the range of inlet SO2 concentration; when the inlet SO2 concentration exceeds the range of inlet SO2 concentration, the primary sub-nodes connected to the secondary sub-nodes are traced, wherein, when the second preset parameter is the inlet SO2 concentration, the fault type recorded by the primary sub-node connected to the secondary sub-node that records the second preset parameter is insufficient dehydration capacity; based on the traceability results, the fault type of the absorber tower that causes the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system is determined to be insufficient dehydration capacity.

[0089] When the second preset parameter is the pH value of the absorber tower, the range of pH values ​​of the absorber tower recorded in the secondary sub-nodes of the fault tree is obtained; the pH value of the absorber tower is compared with the range of pH values ​​of the absorber tower to determine whether the pH value of the absorber tower exceeds the range of pH values ​​of the absorber tower; when the pH value of the absorber tower exceeds the range of pH values ​​of the absorber tower, the primary sub-nodes connected to the secondary sub-nodes are traced, wherein, when the second preset parameter is the pH value of the absorber tower, the fault type recorded by the primary sub-node connected to the secondary sub-node recording the second preset parameter is limestone slurry overload; based on the traceability results, the fault type of the absorber tower that causes the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system is determined to be limestone slurry overload. It should be noted that after tracing the source of the first-level sub-node, it is also necessary to obtain the duration for which the pH value of the absorption tower exceeds the pH value range of the absorption tower; when the pH value of the absorption tower exceeds the pH value range for a certain duration, the opening and closing status of the pH meter inlet valve and the pH meter flushing valve should be obtained; when the pH meter inlet valve is in the open state and the pH meter flushing valve is in the closed state, it is determined that the abnormal density of the gypsum slurry in the absorption tower of the desulfurization system is due to excessive limestone slurry supply.

[0090] In one embodiment, to determine the cause of the abnormal density of the gypsum slurry in the absorber of the desulfurization system based on the parameter value of the second preset parameter, the limestone slurry supply and the original clean flue gas parameters are also obtained, wherein the original clean flue gas parameters include the original flue gas volumetric flow rate V. 原 SO2 concentration in raw flue gas C SO2 Desulfurization efficiency η 脱硫 Calcium-sulfur molar ratio R Ca / S Safety factor K 安全 Limestone slurry density ρ 浆液 Limestone purity P CaCO3 For K 安全 Typically, a value of 1.1 to 1.3 is used to compensate for fluctuations in fuel sulfur content and deviations in limestone purity. Then, the theoretical limestone slurry supply is calculated based on the original net flue gas parameters. Specifically, the theoretical limestone slurry supply is calculated using the following formula:

[0091]

[0092] By setting a proportional coefficient, when the difference between the limestone slurry supply and the theoretical limestone slurry supply is greater than the preset proportion of the theoretical slurry supply, it is determined that the abnormal density of the gypsum slurry in the desulfurization system absorption tower is due to excessive limestone slurry supply.

[0093] The beneficial effects of this application are as follows: obtaining the parameter value of a first preset parameter used to characterize the density of gypsum slurry in the absorption tower; determining whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter; when the density of the gypsum slurry in the absorption tower is higher than the preset threshold, traversing a pre-constructed fault tree for abnormal gypsum slurry density in the absorption tower of the desulfurization system, to obtain the parameter type of the second preset parameter recorded by the secondary child node of the fault tree, wherein the secondary child node is used to record the parameter type and parameter value range corresponding to various fault types that cause abnormal absorption tower density; obtaining the parameter value of the second preset parameter at the current moment of the absorption tower based on the parameter type of the second preset parameter; determining the absorption tower fault type that causes abnormal gypsum slurry density in the absorption tower of the desulfurization system based on the parameter value of the second preset parameter at the current moment of the absorption tower. Since when the density of the gypsum slurry in the absorber tower is higher than the preset threshold, this application can analyze the parameter value of the second preset parameter based on the pre-constructed fault tree of the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system, and automatically determine the fault type of the absorber tower based on the parameter value of the second preset parameter, without relying on the inspection and judgment of the staff, thus improving the diagnostic efficiency and accuracy of the system fault.

[0094] In one embodiment, step S102 can be implemented as follows:

[0095] When the density of the gypsum slurry in the absorption tower is greater than a first preset concentration value, and / or when the current of the slurry circulation pump in the absorption tower is greater than a preset current threshold, it is determined that the density of the gypsum slurry in the absorption tower is higher than the preset threshold.

[0096] In one embodiment, the method for constructing a fault tree for abnormal gypsum slurry density in the desulfurization system absorber tower can be implemented by the following steps:

[0097] The normal range of gypsum slurry density in the absorption tower is used as the main node, the fault type that causes abnormal gypsum slurry density in the absorption tower is used as the first-level sub-node, and the parameter type and normal value range of the second preset parameter corresponding to the fault type are used as the second-level sub-node to construct the fault tree of abnormal gypsum slurry density in the absorption tower of the desulfurization system.

[0098] In one embodiment, the method may also be implemented as the following steps A1-A2:

[0099] In step A1, after determining the type of absorption tower failure that causes the abnormal density of gypsum slurry in the absorption tower of the desulfurization system, a failure repair plan is determined based on the second preset parameter value that causes the failure type.

[0100] In step A2, a fault alarm is issued, and the fault type of the absorption tower and the corresponding repair plan are displayed.

[0101] In one embodiment, step S105 above can be implemented as steps B1-B2 as follows:

[0102] In step B1, it is determined whether the value of the second preset parameter of the absorption tower at the current moment exceeds the value range of the second preset parameter recorded by the secondary sub-node;

[0103] In step B2, when the value of the second preset parameter of the absorber tower at the current moment exceeds the value range of the second preset parameter recorded by the secondary sub-node, the primary sub-node connected to the secondary sub-node is traced to determine the absorber tower fault type that causes the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system. The fault type corresponding to the value of the second preset parameter that exceeds the value range of the second preset parameter recorded by the secondary sub-node is recorded in the primary sub-node connected to the secondary sub-node.

[0104] In one embodiment, the second preset parameter includes the density of desulfurization flushing water, and step B1 can be implemented as follows: steps B11-B12:

[0105] In step B11, the range of values ​​for the desulfurization flushing water density recorded in the secondary child nodes of the fault tree is obtained;

[0106] In step B12, the current density of the desulfurization flushing water in the absorption tower is compared with the range of values ​​for the desulfurization flushing water density to determine whether the current density of the desulfurization flushing water in the absorption tower exceeds the range of values ​​for the desulfurization flushing water density.

[0107] Step B2 above can be implemented as follows: steps B21-B22:

[0108] In step B21, when the density of the desulfurization flushing water at the current moment of the absorption tower exceeds the range of the desulfurization flushing water density, the primary sub-node connected to the secondary sub-node is traced. When the second preset parameter is the desulfurization flushing water density, the fault type recorded by the primary sub-node connected to the secondary sub-node that records the second preset parameter is density meter inaccuracy.

[0109] In step B22, based on the source tracing results, the fault type of the absorber tower that caused the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system is determined to be density meter inaccuracy.

[0110] In one embodiment, the step S105, which includes the limestone slurry supply amount as the second preset parameter, can be implemented as follows: steps C1-C3:

[0111] In step C1, the limestone slurry supply and preset original clean flue gas parameters are obtained;

[0112] In step C2, the theoretical limestone slurry supply is calculated based on the original net flue gas parameters;

[0113] In step C3, when the difference between the limestone slurry supply and the theoretical limestone slurry supply is greater than the preset ratio of the theoretical slurry supply, it is determined that the abnormal density of the gypsum slurry in the desulfurization system absorption tower is due to excessive limestone slurry supply.

[0114] Figure 2 This is a schematic diagram of a gypsum density anomaly diagnostic device for a wet desulfurization system absorber tower, as described in one embodiment of this application, comprising:

[0115] The first acquisition module 201 is used to acquire the parameter value of a first preset parameter used to characterize the density of the gypsum slurry in the absorption tower;

[0116] The judgment module 202 is used to determine whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter.

[0117] The traversal module 203 is used to traverse the pre-constructed fault tree of abnormal gypsum slurry density in the desulfurization system absorption tower when the density of the gypsum slurry in the absorption tower is higher than a preset threshold, so as to obtain the parameter type of the second preset parameter recorded by the second-level sub-node of the fault tree. The second-level sub-node is used to record the parameter type and parameter value range corresponding to various fault types that cause abnormal density in the absorption tower.

[0118] The second acquisition module 204 is used to acquire the parameter value of the second preset parameter of the absorption tower at the current moment according to the parameter type of the second preset parameter;

[0119] The first determining module 205 is used to determine the type of absorption tower failure that causes abnormal density of gypsum slurry in the absorption tower of the desulfurization system based on the parameter value of the second preset parameter at the current moment of the absorption tower.

[0120] In one embodiment, the determining module is further configured to:

[0121] When the density of the gypsum slurry in the absorption tower is greater than a first preset concentration value, and / or when the current of the slurry circulation pump in the absorption tower is greater than a preset current threshold, it is determined that the density of the gypsum slurry in the absorption tower is higher than the preset threshold.

[0122] In one embodiment, the method for constructing a fault tree for abnormal gypsum slurry density in the desulfurization system absorber tower is as follows:

[0123] The normal range of gypsum slurry density in the absorption tower is used as the main node, the fault type that causes abnormal gypsum slurry density in the absorption tower is used as the first-level sub-node, and the parameter type and normal value range of the second preset parameter corresponding to the fault type are used as the second-level sub-node to construct the fault tree of abnormal gypsum slurry density in the absorption tower of the desulfurization system.

[0124] In one embodiment, the apparatus further includes:

[0125] The second determining module is used to determine a fault repair plan based on a second preset parameter value that causes the abnormal density of the gypsum slurry in the desulfurization system absorption tower after determining the type of absorption tower fault that causes the fault type.

[0126] The alarm module is used to issue fault alarms and display the fault type of the absorption tower and the corresponding repair plan.

[0127] In one embodiment, the first determining module includes:

[0128] The judgment submodule is used to determine whether the value of the second preset parameter of the absorption tower at the current moment exceeds the value range of the second preset parameter recorded by the secondary sub-node;

[0129] The tracing submodule is used to trace the source of the first-level sub-node connected to the second-level sub-node when the value of the second preset parameter of the current absorption tower exceeds the value range of the second preset parameter recorded by the second-level sub-node, so as to determine the absorption tower fault type that causes the abnormal density of gypsum slurry in the absorption tower of the desulfurization system. The fault type corresponding to the value of the second preset parameter that exceeds the value range of the second preset parameter recorded by the second-level sub-node is recorded in the first-level sub-node connected to the second-level sub-node.

[0130] In one embodiment, the second preset parameter includes the density of desulfurization flushing water, and the determination submodule is further configured to:

[0131] Obtain the range of values ​​for the desulfurization flushing water density recorded in the second-level child nodes of the fault tree;

[0132] The density of the desulfurization flushing water at the current moment in the absorption tower is compared with the range of values ​​for the desulfurization flushing water density to determine whether the density of the desulfurization flushing water at the current moment in the absorption tower exceeds the range of values ​​for the desulfurization flushing water density.

[0133] The source tracing submodule is also used for:

[0134] When the density of the desulfurization flushing water in the absorption tower at the current moment exceeds the range of the desulfurization flushing water density, the opening and closing status of the density meter inlet valve and the flushing valve are obtained.

[0135] When the density meter inlet valve is closed and the flushing valve is open, the fault type of the absorption tower that causes the abnormal density of the gypsum slurry in the desulfurization system absorption tower is determined to be density meter inaccuracy.

[0136] In one embodiment, the second preset parameter includes the limestone slurry supply amount, and the first determining module includes:

[0137] The acquisition submodule is used to acquire the limestone slurry supply and preset original net flue gas parameters;

[0138] The calculation submodule is used to calculate the theoretical limestone slurry supply based on the original net flue gas parameters;

[0139] The determination submodule is used to determine that the abnormal density of the gypsum slurry in the desulfurization system absorption tower is due to excessive limestone supply when the difference between the limestone slurry supply and the theoretical limestone slurry supply is greater than a preset ratio of the theoretical slurry supply.

[0140] Figure 3 This is a schematic diagram of the hardware structure of a wet desulfurization system absorber tower gypsum density anomaly diagnosis system according to one embodiment of this application, as shown below. Figure 3 As shown, the wet desulfurization system absorber tower gypsum density anomaly diagnosis system includes:

[0141] At least one processor 320; and,

[0142] Memory 304 communicatively connected to the at least one processor 320; wherein,

[0143] The memory 304 stores instructions that can be executed by the at least one processor 320 to implement the method for diagnosing abnormal gypsum density in the absorber tower of a wet desulfurization system as described in any of the above embodiments.

[0144] Reference Figure 3 The wet desulfurization system absorber gypsum density anomaly diagnosis system 300 may include one or more of the following components: processing component 302, memory 304, power supply component 306, multimedia component 308, audio component 310, input / output (I / O) interface 312, sensor component 314, and communication component 316.

[0145] Processing component 302 typically controls the overall operation of the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300. Processing component 302 may include one or more processors 320 to execute instructions to complete all or part of the steps of the method described above. Furthermore, processing component 302 may include one or more modules to facilitate interaction between processing component 302 and other components. For example, processing component 302 may include a multimedia module to facilitate interaction between multimedia component 308 and processing component 302.

[0146] Memory 304 is configured to store various types of data to support the operation of the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300. Examples of this data include instructions for any application or method operating on the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300, such as text, images, videos, etc. Memory 304 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0147] Power supply component 306 provides power to various components of the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300. Power supply component 306 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power to the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300.

[0148] The multimedia component 308 includes a screen that provides an output interface between the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of touch or swipe actions but also the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 308 may also include a front-facing camera and / or a rear-facing camera. When the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0149] Audio component 310 is configured to output and / or input audio signals. For example, audio component 310 includes a microphone (MIC) configured to receive external audio signals when the wet desulfurization system absorber gypsum density anomaly diagnostic system 300 is in an operating mode, such as alarm mode, recording mode, voice recognition mode, and voice output mode. The received audio signals may be further stored in memory 304 or transmitted via communication component 316. In some embodiments, audio component 310 also includes a speaker for outputting audio signals.

[0150] I / O interface 312 provides an interface between processing component 302 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0151] Sensor assembly 314 includes one or more sensors for providing status assessments of various aspects of the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300. For example, sensor assembly 314 may include a sound sensor. Additionally, sensor assembly 314 can detect the on / off state of the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300, the relative positioning of components (e.g., the display and keypad of the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300), and the operating status of the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300 or one of its components. Sensor assembly 314 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 314 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 314 may also include a magnetic sensor, a pressure sensor, a material buildup thickness sensor, or a temperature sensor.

[0152] Communication component 316 is configured to enable the wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300 to provide wired or wireless communication capabilities with other devices and cloud platforms. The wet desulfurization system absorber tower gypsum density anomaly diagnostic system 300 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 316 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 316 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0153] In an exemplary embodiment, the wet desulfurization system absorber tower gypsum density anomaly diagnosis system 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the wet desulfurization system absorber tower gypsum density anomaly diagnosis method described in any of the above embodiments.

[0154] This application also provides a computer-readable storage medium, which, when the instructions in the storage medium are executed by the processor corresponding to the wet desulfurization system absorber tower gypsum density anomaly diagnosis system, enables the wet desulfurization system absorber tower gypsum density anomaly diagnosis system to implement the wet desulfurization system absorber tower gypsum density anomaly diagnosis method described in any of the above embodiments.

[0155] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0156] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0157] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0158] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0159] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for diagnosing abnormal gypsum density in the absorber tower of a wet desulfurization system, characterized in that, include: Obtain the parameter value of the first preset parameter used to characterize the density of the gypsum slurry in the absorption tower; Determine whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter; When the density of the gypsum slurry in the absorption tower is higher than a preset threshold, the pre-constructed fault tree of abnormal gypsum slurry density in the absorption tower of the desulfurization system is traversed to obtain the parameter type of the second preset parameter recorded by the second-level sub-node of the fault tree. The second-level sub-node is used to record the parameter type and parameter value range corresponding to various fault types that cause abnormal absorption tower density. Based on the parameter type of the second preset parameter, obtain the parameter value of the second preset parameter of the absorption tower at the current moment; Determining the type of absorption tower fault causing abnormal gypsum slurry density in the desulfurization system absorption tower based on the parameter value of the second preset parameter at the current moment of the absorption tower includes: determining whether the parameter value of the second preset parameter at the current moment of the absorption tower exceeds the value range of the second preset parameter recorded by the secondary sub-node; when the parameter value of the second preset parameter at the current moment of the absorption tower exceeds the value range of the second preset parameter recorded by the secondary sub-node, tracing the primary sub-node connected to the secondary sub-node to determine the type of absorption tower fault causing abnormal gypsum slurry density in the desulfurization system absorption tower, wherein the fault type corresponding to the second preset parameter value exceeding the value range of the second preset parameter recorded by the secondary sub-node is recorded in the primary sub-node connected to the secondary sub-node; The second preset parameter includes the density of the desulfurization flushing water. The step of determining whether the value of the second preset parameter at the current moment exceeds the value range of the second preset parameter recorded by the secondary sub-node includes: Obtain the range of values ​​for the desulfurization flushing water density recorded in the second-level child nodes of the fault tree; The density of the desulfurization flushing water at the current moment in the absorption tower is compared with the range of values ​​for the desulfurization flushing water density to determine whether the density of the desulfurization flushing water at the current moment in the absorption tower exceeds the range of values ​​for the desulfurization flushing water density. When the value of the second preset parameter of the absorber tower at the current moment exceeds the value range of the second preset parameter recorded by the secondary sub-node, the primary sub-node connected to the secondary sub-node is traced to determine the absorber tower fault type that causes the abnormal density of the gypsum slurry in the desulfurization system absorber tower, including: When the density of the desulfurization flushing water in the absorption tower at the current moment exceeds the range of the desulfurization flushing water density, the primary sub-node connected to the secondary sub-node is traced. When the second preset parameter is the desulfurization flushing water density, the fault type recorded by the primary sub-node connected to the secondary sub-node that records the second preset parameter is density meter inaccuracy. Based on the source tracing results, the fault type of the absorber tower that caused the abnormal density of the gypsum slurry in the absorber tower of the desulfurization system was determined to be density meter inaccuracy.

2. The method as described in claim 1, characterized in that, The step of determining whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter includes: When the density of the gypsum slurry in the absorption tower is greater than a first preset concentration value, and / or when the current of the slurry circulation pump in the absorption tower is greater than a preset current threshold, it is determined that the density of the gypsum slurry in the absorption tower is higher than the preset threshold.

3. The method as described in claim 1, characterized in that, The method for constructing the fault tree for the abnormal density of gypsum slurry in the absorber of the desulfurization system is as follows: The normal range of gypsum slurry density in the absorption tower is used as the main node, the fault type that causes abnormal gypsum slurry density in the absorption tower is used as the first-level sub-node, and the parameter type and normal value range of the second preset parameter corresponding to the fault type are used as the second-level sub-node to construct the fault tree of abnormal gypsum slurry density in the absorption tower of the desulfurization system.

4. The method as described in claim 1, characterized in that, The method further includes: Once the type of absorption tower failure that causes the abnormal density of gypsum slurry in the absorption tower of the desulfurization system is determined, a fault repair plan is determined based on the second preset parameter value that causes the fault type. Issue a fault alarm and display the fault type of the absorption tower and the corresponding repair plan.

5. The method as described in claim 1, characterized in that, The second preset parameter includes the limestone slurry supply rate. The determination of the absorber tower fault type causing abnormal gypsum slurry density in the desulfurization system absorber tower based on the parameter value of the second preset parameter at the current moment includes: Obtain the limestone slurry supply and preset original clean flue gas parameters; Calculate the theoretical limestone slurry supply based on the original net flue gas parameters; When the difference between the limestone slurry supply and the theoretical limestone slurry supply exceeds the preset ratio of the theoretical slurry supply, the abnormal density of the gypsum slurry in the desulfurization system absorption tower is determined to be due to excessive limestone slurry supply.

6. A diagnostic device for abnormal gypsum density in the absorber tower of a wet desulfurization system, used in the method for diagnosing abnormal gypsum density in the absorber tower of a wet desulfurization system as described in any one of claims 1-5, characterized in that, include: The first acquisition module is used to acquire the parameter value of a first preset parameter used to characterize the density of the gypsum slurry in the absorption tower; The judgment module is used to determine whether the density of the gypsum slurry in the absorption tower is higher than a preset threshold based on the parameter value of the first preset parameter. The traversal module is used to traverse the pre-constructed fault tree of abnormal gypsum slurry density in the desulfurization system absorber tower when the density of the gypsum slurry in the absorber tower is higher than a preset threshold, so as to obtain the parameter type of the second preset parameter recorded by the second-level sub-node of the fault tree. The second-level sub-node is used to record the parameter type and parameter value range corresponding to various fault types that cause abnormal absorber tower density. The second acquisition module is used to acquire the parameter value of the second preset parameter of the absorption tower at the current moment according to the parameter type of the second preset parameter; The first determining module is used to determine the type of absorption tower failure that causes abnormal density of gypsum slurry in the absorption tower of the desulfurization system based on the parameter value of the second preset parameter at the current moment of the absorption tower.

7. A diagnostic system for abnormal gypsum density in the absorber tower of a wet desulfurization system, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to implement the method for diagnosing abnormal gypsum density in the absorber tower of a wet desulfurization system as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor corresponding to the wet desulfurization system absorber tower gypsum density anomaly diagnosis system, the wet desulfurization system absorber tower gypsum density anomaly diagnosis system is able to implement the wet desulfurization system absorber tower gypsum density anomaly diagnosis method as described in any one of claims 1-5.

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