Early warning level determination method and device, storage medium and computer program product
By acquiring multiple regional parameters of the air preheater and using an anomaly warning model to determine the warning level, the problem of inaccurate anomaly judgment in the air preheater was solved, and the reliability and operational stability of the equipment were improved.
Patent Information
- Application Number
- CN202511092463.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-05
- Publication Date
- 2025-11-21
AI Technical Summary
Existing technologies are inaccurate in judging abnormalities in air preheaters, making it difficult to detect minor rubbing phenomena, as well as issues such as flue gas oxygen content, fan power consumption, and uneven thermal expansion and contraction of the air preheater in a timely manner, which affects equipment reliability and leads to operational failures.
By acquiring parameters such as sound intensity, oxygen content, air volume, air pressure, and pressure difference between flue gas inlet and outlet in multiple areas of the air preheater, and inputting them into the anomaly early warning model, the early warning level of the air preheater is determined, including yellow and red warnings, to guide adjustments or shutdown to prevent malfunctions.
It enables accurate judgment of abnormal conditions in the air preheater, improves the timeliness and accuracy of early warning, and reduces the occurrence of equipment failures.
Smart Images
Figure CN120998000A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of electric power engineering, in particular to a method and device for determining a warning level, a storage medium and a computer program product. BACKGROUND
[0002] In the related art, the abnormal state of the air preheater is mainly determined by artificial experience and part of online monitoring means, which has many inaccuracies. For example, the traditional monitoring method is difficult to accurately capture the tiny rubbing phenomenon between the internal heat transfer element and the axial and radial fan-shaped sealing plate fixed on the shell, and such a phenomenon often has a subtle impact on the reliability of the equipment in the early stage, but it is difficult to be discovered in time until it develops into a serious operation failure. In addition, due to the lack of real-time and comprehensive monitoring means, the warning of the oxygen content on the flue gas side, the power consumption of the fan, and the uneven thermal expansion and contraction of the air preheater shell and the heat transfer element is not timely and accurate enough.
[0003] In view of the problem of inaccurate abnormality judgment of the air preheater in the related art, no effective solution has been proposed so far.
[0004] Therefore, it is necessary to improve the related art to overcome the defects in the related art. SUMMARY
[0005] The embodiments of the present application provide a method and device for determining a warning level, a storage medium and a computer program product to at least solve the problem of inaccurate abnormality judgment of the air preheater in the related art.
[0006] According to an aspect of an embodiment of the present application, a method for determining a warning level is provided, comprising: obtaining a plurality of groups of first parameters of a plurality of regions in an air preheater, wherein the first parameters include: sound intensity, oxygen content, air volume, air pressure, pressure difference between a first pressure of a flue inlet and a second pressure of a flue outlet in the air preheater, and the plurality of regions correspond to the plurality of groups of first parameters one by one; inputting the plurality of groups of first parameters into an abnormality warning model to obtain a first abnormality result of the air preheater, wherein the abnormality warning model is used to determine whether the air preheater has an abnormality; determining a warning level of the air preheater according to the first abnormality result, wherein the warning level is used to indicate the abnormality degree of the air preheater under abnormal conditions.
[0007] In one example embodiment, determining the warning level of the air preheater according to the first abnormal result comprises: obtaining a second abnormal result about the sound intensity in the first abnormal result; determining the warning level as yellow warning in a case that the second abnormal result exceeds a first threshold corresponding to the sound intensity, a first difference between the second abnormal result and the first threshold is greater than or equal to a first preset value, and a current fluctuation of a motor exceeds a first preset range, wherein the motor is arranged in the air preheater; determining the warning level as red warning in a case that the second abnormal result exceeds the first threshold, the first difference is greater than or equal to a second preset value, and the current fluctuation of the motor exceeds a second preset range, wherein the second preset value is greater than the first preset value, and the first preset range is a subset of the second preset range.
[0008] In one example embodiment, determining the warning level of the air preheater according to the first abnormal result comprises: obtaining a third abnormal result about the oxygen content in the first abnormal result; determining the warning level as yellow warning in a case that a first deviation exists between the third abnormal result and a second threshold corresponding to the oxygen content, and the first deviation is greater than or equal to a third preset value; determining the warning level as red warning in a case that the first deviation is greater than or equal to a fourth preset value, wherein the fourth preset value is greater than the third preset value.
[0009] In one example embodiment, determining the warning level of the air preheater according to the first abnormal result comprises: obtaining a fourth abnormal result about the pressure difference in the first abnormal result; determining the warning level as yellow warning in a case that a second deviation exists between the fourth abnormal result and a third threshold corresponding to the pressure difference, and the second deviation is greater than or equal to a fifth preset value; determining the warning level as red warning in a case that the second deviation is greater than or equal to a sixth preset value, wherein the sixth preset value is greater than the fifth preset value.
[0010] In an example embodiment, after determining the pre-warning level of the air preheater according to the first abnormal result, the method further comprises: in the case that the pre-warning level is the yellow pre-warning, adjusting the gap of the sector sealing plate in the air preheater for a first region corresponding to a second abnormal result about the sound intensity in the first abnormal result and / or a second region corresponding to a third abnormal result about the oxygen content in the first abnormal result, and / or cleaning impurities in a third region corresponding to a fourth abnormal result about the pressure difference in the first abnormal result, wherein the multiple regions at least include one of the first region, the second region, and the third region; in the case that the pre-warning level is the red pre-warning, stopping running the air preheater, and sending the first abnormal result to a target object to instruct the target object to overhaul the air preheater.
[0011] In an example embodiment, before inputting the multiple sets of first parameters into the abnormal pre-warning model to obtain the abnormal result of the air preheater, the method further comprises: obtaining multiple sets of second parameters of the multiple regions in a first time period, wherein the first time period is a period of time before the current time, the second parameters are of the same parameter category as the first parameters, and the multiple regions correspond to the multiple sets of second parameters one by one; and constructing the abnormal pre-warning model according to the multiple sets of second parameters.
[0012] According to another aspect of the embodiments of the present application, a pre-warning level determination apparatus is further provided, which comprises: an obtaining module configured to obtain multiple sets of first parameters of multiple regions in an air preheater, wherein the first parameters comprise: sound intensity, oxygen content, air volume, air pressure, pressure difference between a first pressure of a flue inlet and a second pressure of a flue outlet in the air preheater, and the multiple regions correspond to the multiple sets of first parameters one by one; an input module configured to input the multiple sets of first parameters into an abnormal pre-warning model to obtain a first abnormal result of the air preheater, wherein the abnormal pre-warning model is configured to determine whether the air preheater is abnormal; and a determination module configured to determine a pre-warning level of the air preheater according to the first abnormal result, wherein the pre-warning level is configured to indicate an abnormal degree of the air preheater in an abnormal condition.
[0013] According to still another aspect of the embodiments of the present application, a computer readable storage medium is further provided, which stores a computer program, wherein the computer program is configured to execute the above-mentioned pre-warning level determination method when running.
[0014] According to still another aspect of the embodiments of the present application, an electronic device is further provided, which comprises a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned pre-warning level determination method through the computer program.
[0015] According to a further aspect of the embodiments of the present application, a computer program product is also provided, which comprises a computer program, wherein the computer program is executed by a processor to implement the steps of the method described in various embodiments of the present application.
[0016] According to the present application, a plurality of groups of first parameters of a plurality of regions in the air preheater are obtained, wherein the first parameters include sound intensity, oxygen content, air volume, air pressure, a pressure difference between a first pressure at the flue inlet and a second pressure at the flue outlet in the air preheater, and the plurality of regions correspond to the plurality of groups of first parameters one by one; the plurality of groups of first parameters are input into an abnormality early warning model to obtain a first abnormality result of the air preheater, wherein the abnormality early warning model is used to determine whether the air preheater is abnormal; and the early warning level of the air preheater is determined according to the first abnormality result, wherein the early warning level is used to indicate the abnormality degree of the air preheater under abnormal conditions. Thus, the problem that the abnormality of the air preheater is not accurately determined in the related art is solved. BRIEF DESCRIPTION OF DRAWINGS
[0017] The accompanying drawings, which are incorporated herein and form a part of the specification, illustrate the embodiments of the present application and, together with the description, serve to explain the principles of the present application.
[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced as follows, and obviously, other drawings can also be obtained by those skilled in the art without any creative labor under the premise of the drawings.
[0019] Figure 1 FIG. 1 is a hardware structure block diagram of a computer terminal of a method for determining an early warning level according to an embodiment of the present application;
[0020] Figure 2 FIG. 2 is a flowchart of a method for determining an early warning level according to an embodiment of the present application;
[0021] Figure 3 FIG. 3 is a schematic diagram of a method for determining an early warning level according to an embodiment of the present application;
[0022] Figure 4 FIG. 4 is a structure block diagram of a determination device for an early warning level according to an embodiment of the present application. DETAILED DESCRIPTION
[0023] In order to make the personnel in the technical field better understand the scheme of the present application, the technical scheme in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor should be within the scope of protection of the present application.
[0024] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to the process, method, product or device.
[0025] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or similar computing device. Taking the running on a computer terminal as an example, Figure 1 is a hardware structure block diagram of a computer terminal of a pre-warning level determination method of the embodiments of the present application. As shown in Figure 1 , the computer terminal can include one or more (only one is shown in Figure 1 ) processors 102 (the processor 102 can include but is not limited to a processing device such as a central processing unit (CPU) or a field programmable gate array (FPGA)) and a memory 104 for storing data, wherein the above-mentioned computer terminal can further include a transmission device 106 for communication function and an input and output device 108. Those of ordinary skill in the art can understand that Figure 1 The structure shown is only schematic, which does not limit the structure of the above-mentioned computer terminal. For example, the computer terminal can further include more or less components than those shown in Figure 1 , or have a different configuration from that shown in Figure 1 .
[0026] The memory 104 can be used to store computer programs, for example, software programs of application software and modules, such as a computer program corresponding to the determination method of the early warning level in the embodiments of the present application. The processor 102 performs various functional applications and data processing by running the computer programs stored in the memory 104, that is, implements the above method. The memory 104 can include a high-speed random access memory, and can also include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some examples, the memory 104 can further include a memory remotely arranged with respect to the processor 102, which can be connected to the computer terminal through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.
[0027] The wireless network provided by the communication provider of the computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC for short), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, RF for short) module, which is used to communicate with the Internet in a wireless manner.
[0028] In the embodiments, a determination method of an early warning level is provided, which is applied to the above computer terminal. Figure 2 A flowchart of a determination method of an early warning level according to the embodiments of the present application is shown in FIG. 2, which includes the following steps: Figure 2
[0029] In step S202, a plurality of groups of first parameters of a plurality of regions in an air preheater are acquired, wherein the first parameters include sound intensity, oxygen content, air volume, air pressure, a pressure difference between a first pressure of a flue inlet and a second pressure of a flue outlet in the air preheater, and the plurality of regions correspond to the plurality of groups of first parameters one by one.
[0030] In step S204, the plurality of groups of first parameters are input into an abnormal early warning model to obtain a first abnormal result of the air preheater, wherein the abnormal early warning model is used to determine whether the air preheater is abnormal.
[0031] In step S206, an early warning level of the air preheater is determined according to the first abnormal result, wherein the early warning level is used to indicate an abnormal degree of the air preheater under an abnormal condition.
[0032] The first parameters of the multiple regions in the air preheater are obtained through the above steps, the first parameters include: sound intensity, oxygen content, air volume, air pressure, pressure difference between the first pressure of the flue inlet and the second pressure of the flue outlet in the air preheater, the multiple regions correspond to the multiple sets of first parameters one by one; the multiple sets of first parameters are input into the abnormal early warning model to obtain the first abnormal result of the air preheater, wherein the abnormal early warning model is used to determine whether the air preheater is abnormal; and the warning level of the air preheater is determined according to the first abnormal result, wherein the warning level is used to indicate the abnormality degree of the air preheater under abnormal conditions. Thus, the problem of inaccurate abnormality judgment of the air preheater in the related art is solved.
[0033] In one exemplary embodiment, determining the warning level of the air preheater according to the first abnormal result includes: obtaining a second abnormal result about the sound intensity in the first abnormal result; determining the warning level as yellow warning in the case that the second abnormal result exceeds a first threshold corresponding to the sound intensity, a first difference between the second abnormal result and the first threshold is greater than or equal to a first preset value, and a current fluctuation of the motor exceeds a first preset range, wherein the motor is arranged in the air preheater; determining the warning level as red warning in the case that the second abnormal result exceeds the first threshold, the first difference is greater than or equal to a second preset value, and the current fluctuation of the motor exceeds a second preset range, wherein the second preset value is greater than the first preset value, and the first preset range is a subset of the second preset range.
[0034] Optionally, it is assumed that an abnormal situation occurs in the operation of the air preheater, and then a second abnormal result related to the sound intensity is further screened out from the first abnormal results, wherein the second abnormal result refers to a result that the monitored sound intensity reading is different from the sound intensity level in the normal operation range. When the second abnormal result exceeds a pre-set first threshold, and the exceeding degree (i.e. the first difference) at least reaches a first preset value (for example, 15%), and the current fluctuation of the motor exceeds a first preset range (for example, 10%), a yellow warning is triggered, wherein the first threshold is a reference abnormal line of the sound intensity, the first preset value is an additional gain standard for determining whether to trigger the yellow warning, and the first preset range is a tolerance interval of the current fluctuation of the motor, exceeding this range indicates that the motor is unstable, which, combined with the abnormality of the sound intensity, constitutes the condition of the yellow warning. If the second abnormal result not only exceeds the first threshold, but also exceeds to a greater degree (the first difference) at least reaches a second preset value (for example, 30%) higher than the first preset value, and the current fluctuation of the motor also exceeds a larger second preset range (for example, 20%), it is determined that the warning level is red warning.
[0035] In an example embodiment, determining the warning level of the air preheater according to the first abnormal result comprises: obtaining a third abnormal result about the oxygen content in the first abnormal result; determining the warning level as yellow warning if a first deviation between the third abnormal result and a second threshold value corresponding to the oxygen content exists and the first deviation is greater than or equal to a third preset value; and determining the warning level as red warning if the first deviation is greater than or equal to a fourth preset value, wherein the fourth preset value is greater than the third preset value.
[0036] From the multiple abnormal detection results, a third abnormal result related to the oxygen content is determined. The third preset result is compared with the second threshold value of the oxygen content, and a first deviation between the two is calculated. The second threshold value is a set standard value of the oxygen content, which is used to compare the real-time monitored oxygen content data to determine whether the current operating state deviates from the normal level. The first deviation reflects the difference between the current oxygen content measurement value and the ideal value within the normal operating range. If the first deviation is greater than or equal to a third preset value (for example, 10%), the current warning level is determined as yellow warning. Yellow warning usually warns the operator to pay attention to observation, and may require slight intervention or adjustment to prevent the problem from escalating. If the first deviation further increases to reach or exceed a fourth preset value (for example, 20%), the warning level will be upgraded to red warning. Red warning means that immediate action must be taken because the device is at risk of serious failure, which may affect the safe operation of the entire unit.
[0037] In an example embodiment, determining the warning level of the air preheater according to the first abnormal result comprises: obtaining a fourth abnormal result about the pressure difference in the first abnormal result; determining the warning level as yellow warning if a second deviation between the fourth abnormal result and a third threshold value corresponding to the pressure difference exists and the second deviation is greater than or equal to a fifth preset value; and determining the warning level as red warning if the second deviation is greater than or equal to a sixth preset value, wherein the sixth preset value is greater than the fifth preset value.
[0038] The pressure difference state of the air preheater is continuously monitored. Once the value of the pressure difference deviates from the normal operating range, the abnormal value is determined as a fourth abnormal result. The fourth abnormal result is compared with a third preset threshold value, and a difference value between the two is calculated, i.e., a second deviation, wherein the third threshold value is a standard value set based on the pressure difference mean value during normal operation of the equipment, for judging whether the current pressure difference is in an abnormal state. If the second deviation is greater than or equal to a fifth preset value (for example, 10%), it is determined that the current warning level is a yellow warning. This indicates that the abnormality of the pressure difference has been sufficient to cause attention, which may indicate that the heat transfer elements inside the air preheater are blocked or the flow resistance is increased, but has not yet reached a level that immediately threatens the safety of the equipment. The yellow warning usually prompts the operator to strengthen the monitoring of the equipment and prepare for necessary maintenance and adjustment work. When the second deviation continues to expand to reach or exceed a sixth preset value (for example, 20%), the warning level is automatically upgraded to a red warning. This indicates that the abnormality of the pressure difference has reached a critical point, which directly threatens the operation of the air preheater and even the entire unit. The red warning requires immediate emergency measures, such as stopping the operation of the equipment, conducting in-depth inspection or repair, to avoid possible equipment failure or accident.
[0039] In an exemplary embodiment, after determining the warning level of the air preheater according to the first abnormal result, the method further comprises: in the case where the warning level is the yellow warning, adjusting the gap of the fan-shaped sealing plate in the air preheater for a first region corresponding to a second abnormal result about the sound intensity in the first abnormal result and / or a second region corresponding to a third abnormal result about the oxygen content in the first abnormal result, and / or removing impurities in a third region corresponding to a fourth abnormal result about the pressure difference in the first abnormal result, wherein the plurality of regions at least include one of the following: the first region, the second region, and the third region; in the case where the warning level is the red warning, stopping the operation of the air preheater, and sending the first abnormal result to a target object to instruct the target object to overhaul the air preheater.
[0040] When the early warning level is yellow, for the first and second regions related to sound intensity anomalies or oxygen anomalies (i.e., the second or third abnormal results), the gap of the fan-shaped sealing plate in the air preheater is adjusted to reduce the degree of abnormality of the sound intensity or oxygen, which is usually to improve the sealing performance and reduce unnecessary mixing of air and flue gas. At the same time, for the third region with pressure difference anomalies (i.e., the fourth abnormal result), there may be impurities blocking, at which time the online soot blowing or cleaning mechanism is started to remove the impurities in the region to reduce the resistance on the flue gas side and restore the normal differential pressure level. When the early warning level is upgraded to red, which indicates that the air preheater system is facing a serious risk of failure, the most direct measure is to immediately stop the operation of the air preheater to avoid more serious damage. And the first abnormal result is sent to the target object, which includes but is not limited to the maintenance team, the control center or the relevant person in charge, indicating that they perform emergency inspection and necessary maintenance on the air preheater.
[0041] In an exemplary embodiment, before the plurality of sets of first parameters are input into the abnormality early warning model to obtain the abnormal result of the air preheater, the method further comprises: obtaining a plurality of sets of second parameters of the plurality of regions in a first time period, wherein the first time period is a period of time before the current time, the second parameters are of the same parameter category as the first parameters, and the plurality of regions correspond one-to-one to the plurality of sets of second parameters; and constructing the abnormality early warning model according to the plurality of sets of second parameters.
[0042] The historical operating parameter data (i.e., the plurality of sets of second parameters) of each monitoring region (i.e., the plurality of regions) in a certain specific time period (i.e., the first time period) before the current time is collected, wherein each monitoring region corresponds one-to-one to the second parameters collected by it, that is, each region has its unique historical parameter record, which will be used to analyze the operating trend and abnormal pattern of the region. The collected historical parameter data is used to train and construct the early warning model. The abnormality early warning model learns the distribution pattern of parameters in the normal operating state and the characteristic changes in abnormal conditions by analyzing these historical data, so as to identify similar parameter combinations as the historical abnormal patterns when new data is input, predict the future operating state, and judge whether there is a possibility of abnormality.
[0043] In order to better understand the process of the above-mentioned early warning level determination method, the following will further describe the early warning level determination method in combination with optional embodiments, but not for limiting the technical solutions of the embodiments of the present application.
[0044] Figure 3 is a schematic diagram of an early warning level determination method according to an embodiment of the present application, as shown in Figure 3 , specifically comprising the following contents:
[0045] On each rotary air preheater shell, sound intensity meters, oxygen online detection devices, and air volume and air pressure online detection devices are installed at key positions such as the external adjustment positions of primary air, secondary air, flue gas side axial and radial fan-shaped sealing plates, and real-time data of current, pressure difference, air volume, air pressure, air temperature, and oxygen content are collected. Before being sent to the unit control system, these data need to be preprocessed, including data cleaning (removing noise and invalid values), data conversion (such as converting temperature from Celsius to Kelvin), and data standardization (comparing different parameters in the same numerical range), to ensure the accuracy and consistency of the data input to the abnormal early warning model.
[0046] Further, the abnormal early warning model uses machine learning technology to identify the distribution rules of parameters such as current, pressure difference, air volume, air pressure, air temperature, and oxygen content under normal operating conditions and the deviation patterns under abnormal conditions through learning from historical data. By analyzing the deviation of current data from normal conditions and the mutual influence between parameters, the possible abnormal conditions of the air preheater, such as blockage, dynamic and static friction, and air leakage, are determined. Based on historical data and equipment operating conditions, the abnormal early warning model can dynamically adjust the early warning thresholds of each parameter, making the air preheater early warning system more adaptable to the actual operating conditions of the equipment and improving the accuracy and timeliness of early warning. The early warning system can also display the real-time operating conditions of the air preheater through a visual interface, including the values of all the above-mentioned monitoring parameters, trend charts, and the overall operating conditions of the equipment.
[0047] Optionally, when the model detects parameter abnormalities and triggers early warning (such as yellow or red early warning), the visual interface displays the early warning information in a prominent way, such as color change, flashing prompt, pop-up warning box, etc., with specific abnormal parameters and possible cause analysis to guide the operator to take appropriate adjustment measures, such as online adjustment of fan-shaped sealing plate gap, start of soot blowing program, adjustment of fan speed, etc. At the same time, each early warning and the measures taken are recorded, providing a basis for subsequent equipment maintenance and data analysis.
[0048] Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be realized by means of software and the necessary general hardware platform, of course, it can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes a plurality of instructions for causing a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of the present application.
[0049] A device for determining a warning level is also provided in the embodiments, which is used to implement the above embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, hardware, or a combination of software and hardware implementations are also possible and contemplated.
[0050] Figure 4 is a structural block diagram of a device for determining a warning level according to an embodiment of the application, which comprises:
[0051] The acquisition module 42 is configured to acquire a plurality of groups of first parameters of a plurality of regions in the air preheater, wherein the first parameters include: sound intensity, oxygen content, air volume, air pressure, a pressure difference between a first pressure of a flue inlet and a second pressure of a flue outlet in the air preheater, and the plurality of regions correspond to the plurality of groups of first parameters one by one.
[0052] The input module 44 is configured to input the plurality of groups of first parameters into an abnormality warning model to obtain a first abnormality result of the air preheater, wherein the abnormality warning model is used to determine whether the air preheater is abnormal.
[0053] The determination module 46 is configured to determine a warning level of the air preheater according to the first abnormality result, wherein the warning level is used to indicate an abnormality degree of the air preheater in an abnormal situation.
[0054] Through the above device, a plurality of groups of first parameters of a plurality of regions in the air preheater are acquired, wherein the first parameters include: sound intensity, oxygen content, air volume, air pressure, a pressure difference between a first pressure of a flue inlet and a second pressure of a flue outlet in the air preheater, and the plurality of regions correspond to the plurality of groups of first parameters one by one; the plurality of groups of first parameters are input into an abnormality warning model to obtain a first abnormality result of the air preheater, wherein the abnormality warning model is used to determine whether the air preheater is abnormal; and a warning level of the air preheater is determined according to the first abnormality result, wherein the warning level is used to indicate an abnormality degree of the air preheater in an abnormal situation. Thus, the problem that the abnormality of the air preheater is not accurately determined in the related art is solved.
[0055] In one example embodiment, the determining module 46 is further configured to obtain a second abnormal result of the first abnormal result related to the sound intensity; determine the warning level as a yellow warning in a case that the second abnormal result exceeds a first threshold corresponding to the sound intensity, a first difference between the second abnormal result and the first threshold is greater than or equal to a first preset value, and a current fluctuation of a motor exceeds a first preset range, wherein the motor is arranged in the air preheater; determine the warning level as a red warning in a case that the second abnormal result exceeds the first threshold, the first difference is greater than or equal to a second preset value, and the current fluctuation exceeds a second preset range, wherein the second preset value is greater than the first preset value, and the first preset range is a subset of the second preset range.
[0056] In one example embodiment, the determining module 46 is further configured to obtain a third abnormal result of the first abnormal result related to the oxygen amount; determine the warning level as a yellow warning in a case that the third abnormal result has a first deviation from a second threshold corresponding to the oxygen amount, and the first deviation is greater than or equal to a third preset value; determine the warning level as a red warning in a case that the first deviation is greater than or equal to a fourth preset value, wherein the fourth preset value is greater than the third preset value.
[0057] In one example embodiment, the determining module 46 is further configured to obtain a fourth abnormal result of the first abnormal result related to the pressure difference; determine the warning level as a yellow warning in a case that the fourth abnormal result has a second deviation from a third threshold corresponding to the pressure difference, and the second deviation is greater than or equal to a fifth preset value; determine the warning level as a red warning in a case that the second deviation is greater than or equal to a sixth preset value, wherein the sixth preset value is greater than the fifth preset value.
[0058] In one example embodiment, the determining module 46 is further configured to, in a case that the warning level is the yellow warning, adjust a gap of a fan-shaped sealing plate in the air preheater for a first region corresponding to the second abnormal result of the first abnormal result related to the sound intensity and / or a second region corresponding to the third abnormal result of the first abnormal result related to the oxygen amount, and / or remove impurities in a third region corresponding to the fourth abnormal result of the first abnormal result related to the pressure difference, wherein the plurality of regions at least include one of the first region, the second region, and the third region; in a case that the warning level is the red warning, stop running the air preheater, and send the first abnormal result to a target object to instruct the target object to overhaul the air preheater.
[0059] In an example embodiment, the input module 44 is further configured to acquire a plurality of sets of second parameters of the plurality of regions in a first time period, wherein the first time period is a period of time before the current time, the second parameters are of the same parameter category as the first parameters, and the plurality of regions correspond to the plurality of sets of second parameters one by one; and construct the abnormal early warning model according to the plurality of sets of second parameters.
[0060] Embodiments of the present application also provide a computer readable storage medium, which stores a computer program, wherein the computer program is configured to execute the steps in any of the method embodiments described above when running.
[0061] Optionally, in the present embodiment, the storage medium described above can be configured to store a computer program for executing the following steps:
[0062] S1, acquiring a plurality of sets of first parameters of a plurality of regions in an air preheater, wherein the first parameters include sound intensity, oxygen content, air volume, air pressure, a pressure difference between a first pressure of a flue inlet and a second pressure of a flue outlet in the air preheater, and the plurality of regions correspond to the plurality of sets of first parameters one by one;
[0063] S2, inputting the plurality of sets of first parameters into an abnormal early warning model to obtain a first abnormal result of the air preheater, wherein the abnormal early warning model is configured to determine whether the air preheater is abnormal;
[0064] S3, determining an early warning level of the air preheater according to the first abnormal result, wherein the early warning level is configured to indicate an abnormal degree of the air preheater under an abnormal condition.
[0065] In an example embodiment, the computer readable storage medium described above can include, but is not limited to, a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store computer programs.
[0066] The specific examples in the present embodiment can refer to the examples described in the above embodiments and example embodiments, which will not be described herein again.
[0067] Embodiments of the present application also provide an electronic device, which includes a memory storing a computer program and a processor configured to execute the computer program to perform the steps in any of the method embodiments described above.
[0068] Optionally, in the present embodiment, the processor described above can be configured to execute the following steps through the computer program:
[0069] S1, acquire a plurality of groups of first parameters of a plurality of regions in an air preheater, wherein the first parameters comprise: sound intensity, oxygen content, air volume, air pressure, a pressure difference between a first pressure of a flue inlet and a second pressure of a flue outlet in the air preheater, the plurality of regions correspond to the plurality of groups of first parameters one by one;
[0070] S2, input the plurality of groups of first parameters into an abnormality early warning model to obtain a first abnormality result of the air preheater, wherein the abnormality early warning model is used to determine whether the air preheater is abnormal;
[0071] S3, determine an early warning level of the air preheater according to the first abnormality result, wherein the early warning level is used to indicate an abnormality degree of the air preheater under an abnormal condition.
[0072] In one example embodiment, the electronic device described above can further comprise a transmission device connected to the processor and an input / output device connected to the processor.
[0073] Embodiments of the present application also provide a computer program product comprising a non-volatile computer readable storage medium storing a computer program product, wherein the computer program is executed by a processor to implement the steps of the method described in various embodiments of the present application.
[0074] Optionally, in the present embodiment, the computer program described above can be set to be executed by the processor to implement the following steps:
[0075] S1, acquire a plurality of groups of first parameters of a plurality of regions in an air preheater, wherein the first parameters comprise: sound intensity, oxygen content, air volume, air pressure, a pressure difference between a first pressure of a flue inlet and a second pressure of a flue outlet in the air preheater, the plurality of regions correspond to the plurality of groups of first parameters one by one;
[0076] S2, input the plurality of groups of first parameters into an abnormality early warning model to obtain a first abnormality result of the air preheater, wherein the abnormality early warning model is used to determine whether the air preheater is abnormal;
[0077] S3, determine an early warning level of the air preheater according to the first abnormality result, wherein the early warning level is used to indicate an abnormality degree of the air preheater under an abnormal condition.
[0078] The specific examples in the present embodiment can refer to the examples described in the above embodiments and example embodiments, which will not be described here again.
[0079] It is apparent that those skilled in the art can, without departing from the spirit of the present application, make various changes and modifications of the modules or steps of the present application described above, which can be implemented by general computing devices, and can be centralized on a single computing device or distributed on a network composed of multiple computing devices, and can be implemented by program codes executable by computing devices, so that they can be stored in storage devices and executed by computing devices, and in some cases, the steps shown or described can be executed in different order, or can be made into individual integrated circuit modules, or multiple modules or steps can be made into a single integrated circuit module. Thus, the present application is not limited to any particular combination of hardware and software.
[0080] The above description is only the preferred embodiments of the present application, and it should be pointed out that those skilled in the art can make several improvements and refinements without departing from the principles of the present application, and these improvements and refinements should be considered as the protection scope of the present application.
Claims
1. A method for determining an early warning level, characterized in that, include: Multiple sets of first parameters are obtained for multiple regions in the air preheater. The first parameters include: sound intensity, oxygen content, air volume, air pressure, and the pressure difference between the first pressure at the flue inlet and the second pressure at the flue outlet in the air preheater. The multiple regions correspond one-to-one with the multiple sets of first parameters. The multiple sets of first parameters are input into the anomaly warning model to obtain the first anomaly result of the air preheater, wherein the anomaly warning model is used to determine whether the air preheater has an anomaly; The warning level of the air preheater is determined based on the first abnormal result, wherein the warning level is used to indicate the degree of abnormality of the air preheater under abnormal conditions.
2. The method for determining the warning level according to claim 1, characterized in that, The warning level of the air preheater is determined based on the first abnormal result, including: Obtain the second abnormal result regarding the sound intensity from the first abnormal result; If the second abnormal result exceeds the first threshold corresponding to the sound intensity, and the first difference between the second abnormal result and the first threshold is greater than or equal to the first preset value, and the current fluctuation of the motor exceeds the first preset range, the warning level is determined to be a yellow warning, wherein the motor is installed in the air preheater; If the second abnormal result exceeds the first threshold, and the first difference is greater than or equal to the second preset value, and the current fluctuation exceeds the second preset range, the warning level is determined to be a red warning, wherein the second preset value is greater than the first preset value, and the first preset range is a subset of the second preset range.
3. The method for determining the early warning level according to claim 1, characterized in that, The warning level of the air preheater is determined based on the first abnormal result, including: Obtain the third abnormal result regarding the oxygen content from the first abnormal result; If there is a first deviation between the third abnormal result and the second threshold corresponding to the oxygen content, and the first deviation is greater than or equal to a third preset value, the warning level is determined to be a yellow warning. If the first deviation is greater than or equal to the fourth preset value, the warning level is determined to be a red warning, wherein the fourth preset value is greater than the third preset value.
4. The method for determining the warning level according to claim 1, characterized in that, The warning level of the air preheater is determined based on the first abnormal result, including: Obtain the fourth abnormal result regarding the pressure difference from the first abnormal result; If there is a second deviation between the fourth abnormal result and the third threshold corresponding to the pressure difference, and the second deviation is greater than or equal to a fifth preset value, the warning level is determined to be a yellow warning. If the second deviation is greater than or equal to the sixth preset value, the warning level is determined to be a red warning, wherein the sixth preset value is greater than the fifth preset value.
5. The method for determining the warning level according to any one of claims 2 to 4, characterized in that, After determining the warning level of the air preheater based on the first abnormal result, the method further includes: When the warning level is yellow, for the first region corresponding to the second abnormal result regarding the sound intensity in the first abnormal result and / or the second region corresponding to the third abnormal result regarding the oxygen content in the first abnormal result, the gap of the sector sealing plate in the air preheater is adjusted, and / or for the third region corresponding to the fourth abnormal result regarding the pressure difference in the first abnormal result, the impurities in the third region are removed, wherein the plurality of regions include at least one of the following: the first region, the second region, and the third region; When the warning level is red, the air preheater is shut down and the first abnormal result is sent to the target object to instruct the target object to perform maintenance on the air preheater.
6. The method for determining the early warning level according to claim 1, characterized in that, Before inputting the multiple sets of first parameters into the anomaly warning model to obtain the anomaly result of the air preheater, the method further includes: Obtain multiple sets of second parameters for the multiple regions within a first time period, wherein the first time period is a period of time before the current time, the second parameters have the same parameter category as the first parameters, and the multiple regions correspond one-to-one with the multiple sets of second parameters; The anomaly warning model is constructed based on the multiple sets of second parameters.
7. A device for determining early warning levels, characterized in that, include: The acquisition module is used to acquire multiple sets of first parameters for multiple regions in the air preheater. The first parameters include: sound intensity, oxygen content, air volume, air pressure, and the pressure difference between the first pressure at the flue inlet and the second pressure at the flue outlet in the air preheater. The multiple regions correspond one-to-one with the multiple sets of first parameters. An input module is used to input the multiple sets of first parameters into an anomaly warning model to obtain a first anomaly result of the air preheater, wherein the anomaly warning model is used to determine whether the air preheater has an anomaly; a determination module is used to determine the warning level of the air preheater based on the first anomaly result, wherein the warning level is used to indicate the degree of anomaly of the air preheater under abnormal conditions.
8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein the program, when executed, performs the method of any one of claims 1 to 6.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 6.
10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.