Alarm analysis method, computer readable storage medium and alarm analysis system

Abstract

The present invention discloses an alarm analysis method, a computer-readable storage medium and an alarm analysis system. Among them, an alarm analysis method includes the following steps: obtaining input alarm point information. According to the alarm point information, matching the preset alarm rules. According to the alarm point information, retrieving the alarm content data corresponding to the alarm point in the alarm point database. According to the alarm rule, calculating the absolute value of the difference between the current value of the alarm point and the upper limit value to obtain the high deviation. According to the alarm rule, calculating the absolute value of the difference between the current value of the alarm point and the lower limit value to obtain the low deviation. According to the high deviation and the low deviation, matching the corresponding alarm analysis in the alarm point database, the alarm analysis displays the alarm details information and the alarm analysis results. The alarm analysis method can display the alarm details information and the alarm analysis results according to the alarm analysis, thereby reducing the risk of accidents.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial equipment alarms, and in particular to an alarm analysis method, a computer-readable storage medium and an alarm analysis system. Background Art

[0002] In the industrial gas industry, stable operation and safe management of equipment are crucial. Real-time monitoring of equipment operation and alarm response are the core links to ensure production safety. The existing alarm system mainly relies on fixed threshold settings, and triggers an alarm when the monitoring data exceeds the preset threshold. This method, which relies solely on matching alarm items with thresholds, can only prompt abnormal conditions of equipment, but cannot provide alarm analysis information. Operators cannot know the severity of the alarm, resulting in delayed processing of important alarm signals and increased accident risks. Summary of the invention

[0003] The main purpose of the present invention is to provide an alarm analysis method, a computer-readable storage medium and an alarm analysis system, aiming to solve the technical problems that the existing alarm methods cannot provide alarm analysis information, the operators cannot know the severity of the alarm, which may cause important alarm signals to be delayed in processing and increase the risk of accidents.

[0004] In order to achieve the above-mentioned object of the invention, the first aspect of the present invention proposes an alarm analysis method.

[0005] An alarm analysis method comprises the following steps:

[0006] Get the input alarm point information;

[0007] According to the alarm point information, matching the preset alarm rules;

[0008] According to the alarm point information, searching the alarm content data corresponding to the alarm point in the alarm point database;

[0009] According to the alarm rule, the absolute value of the difference between the current value of the alarm point and the high limit value is calculated to obtain the high deviation;

[0010] According to the alarm rule, the absolute value of the difference between the current value of the alarm point and the low limit value is calculated to obtain the low deviation;

[0011] According to the high deviation and the low deviation, a corresponding alarm analysis is matched in the alarm point database, and the alarm analysis displays alarm detail information and alarm analysis results.

[0012] In one embodiment, after the step of matching the alarm point database with the corresponding alarm analysis according to the high deviation and the low deviation, the method further includes:

[0013] Determine whether the alarm cause of the alarm point belongs to the alarm point database;

[0014] If so, the instantaneous value and real-time value at the alarm time in the alarm point database are displayed.

[0015] In one embodiment, after the step of matching the alarm point database with the corresponding alarm analysis according to the high deviation and the low deviation, the method further includes:

[0016] Determine whether the alarm cause of the alarm point belongs to the alarm point database;

[0017] If not, the alarm cause is added to the alarm point database.

[0018] In one embodiment, the step of matching the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation includes:

[0019] The high deviation matches the corresponding high deviation alarm analysis;

[0020] The low deviation matches the alarm analysis of the corresponding low deviation.

[0021] In one embodiment, the step of matching the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation, and the alarm analysis displaying the alarm details information and the alarm analysis result further includes:

[0022] Analyze the probability of the fault cause of the alarm point;

[0023] According to the probability analysis result of the fault cause, the information of the alarm points is sorted.

[0024] In one embodiment, before the step of retrieving the alarm content data corresponding to the alarm point in the alarm point database according to the alarm point information, the step further includes:

[0025] Receive template information input by the user;

[0026] The alarm point database is established according to the template information.

[0027] In one of the embodiments, the template information includes one or more of the alarm point, alarm analysis description, alarm type, alarm failure cause, failure consequence, existing measures, and operation suggestions.

[0028] In one embodiment, the step of matching a preset alarm rule according to the alarm point information includes:

[0029] Obtain the device type corresponding to the alarm point information;

[0030] According to the device type, searching for an alarm rule corresponding to the device type in a preset alarm rule library;

[0031] The retrieved alarm rule is used as the alarm rule corresponding to the alarm point information.

[0032] A second aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the above-mentioned alarm analysis method when executed by a computer processor.

[0033] A third aspect of the present invention provides an alarm analysis system, comprising:

[0034] An acquisition unit, used for acquiring input alarm point information;

[0035] A first matching unit, used for matching a preset alarm rule according to the alarm point information;

[0036] A second matching unit is used to retrieve alarm content data corresponding to the alarm point in the alarm point database according to the alarm point information;

[0037] A first calculation unit is used to calculate the absolute value of the difference between the current value of the alarm point and the high limit value according to the alarm rule to obtain a high deviation;

[0038] A second calculation unit is used to calculate the absolute value of the difference between the current value of the alarm point and the lower limit value according to the alarm rule to obtain a lower deviation;

[0039] The analysis unit is used to match the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation, and the alarm analysis displays the alarm details information and the alarm analysis result.

[0040] Beneficial effects:

[0041] An alarm analysis method of the present invention obtains input alarm point information. According to the alarm point information, a preset alarm rule is matched. According to the alarm point information, the alarm content data corresponding to the alarm point is retrieved in the alarm point database. According to the alarm rule, the absolute value of the difference between the current value of the alarm point and the upper limit is calculated to obtain the high deviation. According to the alarm rule, the absolute value of the difference between the current value of the alarm point and the lower limit is calculated to obtain the low deviation. According to the high deviation and the low deviation, the corresponding alarm analysis is matched in the alarm point database, and the alarm analysis displays the alarm details information and the alarm analysis results. The alarm analysis method can display the alarm details information and the alarm analysis results according to the alarm analysis, so that the operator can know the details of the alarm point, and can give priority to important alarm signals, thereby reducing the risk of accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 The present invention is a flowchart of an alarm analysis method according to an embodiment of the present invention.

[0043] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0044] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0045] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0046] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0047] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0048] like Figure 1 As shown, in some embodiments, an alarm analysis method includes the following steps:

[0049] S100: Obtain input alarm point information.

[0050] S200: Match preset alarm rules according to the alarm point information.

[0051] S300: According to the alarm point information, the alarm content data corresponding to the alarm point is retrieved from the alarm point database.

[0052] S400. According to the alarm rule, the absolute value of the difference between the current value of the alarm point and the high limit value is calculated to obtain the high deviation.

[0053] S500. According to the alarm rule, the absolute value of the difference between the current value of the alarm point and the low limit value is calculated to obtain the low deviation.

[0054] S600. According to the high deviation and the low deviation, the corresponding alarm analysis is matched in the alarm point database, and the alarm analysis displays the alarm details information and the alarm analysis result.

[0055] The alarm analysis method can obtain alarm detail information and alarm analysis results based on the alarm analysis display, so that operators can know the details of the alarm points and can give priority to processing important alarm signals, thereby reducing the risk of accidents.

[0056] In some embodiments, the specific method of obtaining the input alarm point information can be real-time monitoring through a sensor, input from a human-computer interaction interface, received from a data interface of an external system, etc.

[0057] Specifically, the alarm analysis method is applied to industrial equipment to perform alarm analysis on abnormal conditions of gas in industrial equipment. For example, in the air pressure monitoring system of industrial equipment, the alarm point information can be the number and location information of the air pressure sensor on each production equipment. After obtaining this information in real time through the sensor network, the air pressure monitoring system can quickly find the corresponding equipment information and alarm rules in the database according to the sensor number. If the air pressure detected by the sensor exceeds the preset range, the air pressure monitoring system will trigger the alarm analysis process.

[0058] In some embodiments, S200, the step of matching a preset alarm rule according to the alarm point information includes:

[0059] S210. Obtain the device type corresponding to the alarm point information.

[0060] S220. According to the device type, an alarm rule corresponding to the device type is retrieved from a preset alarm rule library.

[0061] S230: Use the retrieved alarm rule as the alarm rule corresponding to the alarm point information.

[0062] It should be noted that a mapping table of alarm points and alarm rules can be established to match different alarm points with corresponding alarm rules one by one, so as to quickly and accurately match them. For example, for an alarm point of air pressure monitoring, the corresponding alarm rule may be that the air pressure exceeds a preset value.

[0063] During the matching process, the attributes of the alarm points are considered. Attributes such as the importance of the alarm point and the type of equipment to which it belongs can affect the priority or specific parameters of the alarm rule. For example, the alarm rules corresponding to the alarm points on key equipment can be more stringent, and the threshold for triggering the alarm can be lower.

[0064] Specifically, the alarm analysis method can also verify the matching result. To ensure that the matched alarm rule is indeed applicable to the current alarm point, the verification can be performed by rechecking whether the characteristics of the alarm point and the conditions of the alarm rule are consistent.

[0065] Specifically, the alarm point information is obtained, and the alarm point information may include the location coordinates of the alarm point. According to the pre-established correspondence between the alarm point location coordinates and the equipment type, the equipment type corresponding to the alarm point information is determined. If the determined equipment type is a centrifugal compressor, the real-time monitoring screen of the centrifugal compressor at this location is obtained according to the location coordinates of the alarm point. Target detection is performed on the obtained real-time monitoring screen of the centrifugal compressor to obtain the target object in the screen. It is determined whether the type of the target object is a preset abnormal type. If so, an alarm is triggered, and the real-time monitoring screen of the centrifugal compressor is sent to the administrator terminal for manual confirmation.

[0066] Specifically, a preset alarm rule library is obtained according to the device type. In the alarm rule library, a keyword matching algorithm is used to search for alarm rules that match the device type. If an alarm rule that matches the device type is found, the alarm rule is determined as the target alarm rule. According to the target alarm rule, one or more alarm threshold parameters corresponding to the device type are obtained, and the current working parameters of the device type are obtained in real time. It is determined whether the current working parameters exceed the range of the alarm threshold parameters. If the current working parameters exceed the range of the alarm threshold parameters, an alarm is triggered and an alarm message is generated. According to the preset alarm level rules, the alarm level of the alarm information is determined, and the alarm information and the alarm level are sent to the alarm processing module so that the alarm event can be handled in a timely manner.

[0067] In some embodiments, before the step of S300, searching the alarm content data corresponding to the alarm point in the alarm point database according to the alarm point information, the step further includes:

[0068] S310: Receive template information input by a user.

[0069] S320. Establish an alarm point database according to the template information.

[0070] The platform can export templates for download, and engineers can convert operating experience into table contents and fill them in item by item and import them into the platform. The template has nine columns: alarm point, alarm analysis, description, deviation, alarm analysis, type, alarm analysis point, cause, consequence, existing measures, and operation suggestions. It can convert the fault judgment and handling experience encountered in most cases into an alarm point database.

[0071] In some embodiments, S400, according to the alarm rule, the absolute value of the difference between the current value of the alarm point and the high limit value is calculated to obtain the high deviation.

[0072] S500: According to the alarm rule, the absolute value of the difference between the current value of the alarm point and the low limit value is calculated to obtain the low deviation. Specifically, the current value may be the value of a parameter such as air pressure, temperature, flow, or liquid level.

[0073] It should be noted that the deviation between the current value of the alarm point and the preset upper limit and lower limit is measured by calculating the deviation.

[0074] The high deviation is mainly used to determine whether the current value is close to or exceeds the upper limit set by the alarm rule. When the high deviation is small and continues to decrease, it may indicate that the alarm point is about to exceed the upper limit of the normal range, and timely attention is required to prevent abnormal situations. The low deviation focuses on determining whether the current value is close to or below the lower limit.

[0075] The high deviation and low deviation are related to the subsequent alarm analysis. By comparing the size of the high deviation and the low deviation, it can be determined whether the current value of the alarm point is closer to the high or low position. For example, in a temperature control system, if the high deviation is 2 (the current temperature is 118°C, the high limit is 120°C), and the low deviation is 10 (the current temperature is 90°C, the low limit is 80°C), then it can be judged that the current temperature is closer to the high limit. The system can issue different levels of warnings or take corresponding control measures according to this situation.

[0076] In some embodiments, S600, after the step of matching the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation, the step further includes:

[0077] S610: Determine whether the alarm cause of the alarm point belongs to the alarm point database.

[0078] S620: If yes, then display the instantaneous value and real-time value at the alarm time in the alarm point database.

[0079] In the related art, with the increase in the number of monitoring equipment and sensors, the amount of alarm data of industrial gas enterprises has exploded. When processing a large amount of data, the existing alarm system cannot respond in real time, resulting in the delay of important alarm signals, increasing the risk of accidents. In this embodiment, the instantaneous value and real-time value at the alarm time in the alarm point database can be displayed, and real-time response can be achieved to avoid the delay of important alarm signals and reduce the risk of accidents.

[0080] In some embodiments, S600, after the step of matching the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation, the step further includes:

[0081] S630: Determine whether the alarm cause of the alarm point belongs to the alarm point database.

[0082] S640: If not, the alarm cause is added to the alarm point database.

[0083] It should be noted that when it is found that the alarm cause is not in the alarm point database, this step is performed to expand the content of the alarm point database. This setting can continuously improve the alarm point database. When the same alarm cause is encountered later, the system can have corresponding records for reference, thereby improving the efficiency and accuracy of alarm analysis. When supplementing the alarm cause, it is necessary to record the relevant information in detail. This can include a specific description of the alarm cause, relevant alarm point information, possible impact range, recommended treatment measures, etc., to ensure that the information in the database is rich enough to provide data support for subsequent alarm analysis.

[0084] In some embodiments, S600, the step of matching the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation includes:

[0085] S650, high deviation matches the corresponding high deviation alarm analysis.

[0086] S660, low deviation matches the corresponding low deviation alarm analysis.

[0087] It should be noted that the system will retrieve the corresponding alarm analysis content in the alarm point database based on the calculated high deviation. The alarm point database stores the analysis results corresponding to different high deviation ranges. The system will determine the matching alarm analysis by comparing the current high deviation value with the high deviation range set in the database. Correspondingly, for the low deviation, the system will retrieve the matching alarm analysis in the alarm point database according to the pre-set rules.

[0088] By matching alarm analysis for high deviation and low deviation respectively, more accurate alarm information can be provided. The situations and risks represented by alarm points approaching the high limit and approaching the low limit may be different. The alarm analysis corresponding to different deviation ranges can help users quickly determine the urgency of the alarm and the potential harm. For example, the emergency alarm analysis corresponding to a large high deviation can make users immediately aware of the need to take emergency measures to avoid possible serious consequences, such as equipment damage, safety accidents, etc.

[0089] In addition, this step can provide support for the user's decision-making. Based on the matching alarm analysis, the user can decide what measures to take according to the specific situation of the alarm. For example, if the alarm analysis matching the high deviation shows "approaching the high limit, need to pay close attention", the user can observe for a while or take some preventive measures. If it is "exceeding the high limit by a large amount, the situation is more urgent", the user will directly take emergency control measures, such as stopping the operation of related equipment.

[0090] In some embodiments, after the step of S600, matching the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation, and displaying the alarm details information and the alarm analysis result through the alarm analysis, the following steps are further included:

[0091] S670. Analyze the probability of the cause of the fault at the alarm point.

[0092] S680. Sort the information of the alarm points according to the analysis result of the probability of the fault cause.

[0093] It should be noted that the alarm point information and internal business data are input into the preset Bayesian network model. The Bayesian network model is used to perform probability calculation on the input alarm point information and internal business data to obtain the probability distribution of the fault cause causing the alarm. According to the probability value in the probability distribution of the fault cause, the most likely cause of the alarm is determined, and the fault cause with the largest probability value is taken as the main cause of the alarm. If the main cause probability value is greater than the preset cause probability threshold, the cause is judged to be the root cause of the alarm, and corresponding treatment measures are taken according to the cause. If the cause probability value of the main cause is less than the preset cause probability threshold, the cause with the second highest probability value in the cause probability distribution is obtained, and it is taken together with the main cause as the possible cause of the alarm. According to several causes with higher probability values ​​in the probability distribution of the fault cause, the corresponding combination strategy is adopted to comprehensively process several possible causes of the alarm. Through the dynamic update and parameter adjustment of the Bayesian network model, the accuracy of cause analysis is continuously improved so as to adapt to the ever-changing alarm data and business scenarios.

[0094] The template information includes one or more of the alarm point, alarm analysis statement, alarm type, alarm fault cause, fault consequence, existing measures, and operation suggestions.

[0095] Working principle:

[0096] Acquire the real-time operation data of industrial gas equipment, including the key parameters of the equipment. Through various sensors and monitoring equipment installed on industrial gas equipment, collect the key parameter data of the equipment operation process, such as air pressure, temperature, flow, liquid level, etc. in real time to form the equipment operation data stream. The collected equipment operation data is transmitted to the data acquisition and processing unit, and the data is preprocessed, including data cleaning, denoising, normalization and other operations to improve data quality and availability. Combined with the real-time operation status and historical data of the equipment, dynamically adjust the alarm threshold of each key parameter to improve the sensitivity and accuracy of the alarm. If a key parameter exceeds the dynamically adjusted alarm threshold, an alarm signal is triggered, and the alarm information is passed to the intelligent analysis module for further processing. After receiving the alarm information, the intelligent analysis module uses a multi-factor analysis algorithm to comprehensively consider the operating conditions of the equipment, historical fault data, related parameters and other factors to perform intelligent diagnosis and analysis of the alarm cause. Combined with AI platform tools, the multiple possible causes diagnosed are probability evaluated and prioritized to determine the most likely root cause of the alarm and generate corresponding countermeasures. The diagnostic results, cause analysis and countermeasures are fed back to the operator, and the alarm information and processing results are stored in the alarm point database for optimization of the model and knowledge base. According to the historical trend and current status of the equipment operation data, the predictive maintenance algorithm is used to predict the potential failure of the equipment and issue early warning information in advance to help operators make maintenance plans in advance. Through the visual interface, the alarm analysis description, deviation, alarm analysis point, instantaneous value at the alarm time, real-time value, alarm cause, consequences, existing measures and operation suggestions of the equipment are displayed to the operator in real time to ensure the safe, stable and efficient operation of industrial gas equipment.

[0097] In another embodiment, a computer-readable storage medium stores a computer program, and when the computer program is executed by a computer processor, the above-mentioned alarm analysis method is implemented.

[0098] The computer-readable storage medium in this embodiment can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In this embodiment, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable storage medium other than a computer-readable storage medium that can send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0099] This embodiment also provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiment; or it may exist independently without being assembled into the electronic device. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed by the electronic device, the electronic device: obtains the original image of the knob switch; performs monocular depth estimation processing on the original image to obtain a depth image; performs binarization processing on the depth image, extracts the part of the knob switch, and obtains the binarization image of the knob switch; performs contour detection and screening on the binarization image to obtain the rectangular frame of the knob switch and the rotation angle of the rectangular frame; judges the rotation angle of the rectangular frame, and identifies the state of the rotary switch according to the judgment result.

[0100] In another embodiment, an alarm analysis system includes an acquisition unit, a first matching unit, a second matching unit, a first calculation unit, a second calculation unit, and an analysis unit. The acquisition unit is used to acquire input alarm point information. The first matching unit is used to match the preset alarm rules according to the alarm point information. The second matching unit is used to retrieve the alarm content data corresponding to the alarm point in the alarm point database according to the alarm point information. The first calculation unit is used to calculate the absolute value of the difference between the current value of the alarm point and the upper limit value according to the alarm rule to obtain the upper deviation. The second calculation unit is used to calculate the absolute value of the difference between the current value of the alarm point and the lower limit value according to the alarm rule to obtain the lower deviation. The analysis unit is used to match the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation, and the alarm analysis displays the alarm details information and the alarm analysis results.

[0101] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An alarm analysis method, characterized in that: The alarm analysis method is applied to industrial equipment to perform alarm analysis on the abnormal state of gas in the industrial equipment, and includes the following steps: Get the input alarm point information; According to the alarm point information, matching the preset alarm rules; According to the alarm point information, searching the alarm content data corresponding to the alarm point in the alarm point database; According to the alarm rule, the absolute value of the difference between the current value of the alarm point and the high limit value is calculated to obtain the high deviation; According to the alarm rule, the absolute value of the difference between the current value of the alarm point and the low limit value is calculated to obtain the low deviation; According to the high deviation and the low deviation, a corresponding alarm analysis is matched in the alarm point database, and the alarm analysis displays alarm detail information and alarm analysis results; Wherein, the step of matching the preset alarm rules according to the alarm point information includes: Obtain the device type corresponding to the alarm point information; According to the device type, searching for an alarm rule corresponding to the device type in a preset alarm rule library; The retrieved alarm rule is used as the alarm rule corresponding to the alarm point information; Wherein, before the step of retrieving the alarm content data corresponding to the alarm point in the alarm point database according to the alarm point information, the step further includes: Receive template information input by a user, where the template information includes one or more of an alarm point, a deviation, an alarm analysis statement, an alarm type, an alarm fault cause, a fault consequence, existing measures, and an operation suggestion; Establish an alarm point database based on template information; Wherein, according to the high deviation and the low deviation, after the step of matching the corresponding alarm analysis in the alarm point database, the method further includes: Determine whether the alarm cause of the alarm point belongs to the alarm point database; If yes, then the instantaneous value and real-time value at the alarm time in the alarm point database are displayed; Wherein, according to the high deviation and the low deviation, after the step of matching the corresponding alarm analysis in the alarm point database, the method further includes: Determine whether the alarm cause of the alarm point belongs to the alarm point database; If not, the alarm reason is added to the alarm point database; Wherein, the step of matching the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation comprises: The high deviation matches the corresponding high deviation alarm analysis; The low deviation matches the corresponding alarm analysis of the low deviation; Wherein, the alarm point information includes the position coordinates of the alarm point; according to the pre-established correspondence between the position coordinates of the alarm point and the device type, the device type corresponding to the alarm point information is determined; Among them, the high deviation is used to determine whether the current value is close to or exceeds the upper limit set by the alarm rule, and the low deviation is used to determine whether the current value is close to or lower than the lower limit. By comparing the sizes of the high deviation and the low deviation, it is determined that the current value of the alarm point is more inclined to be close to the high or low level.

2. The alarm analysis method according to claim 1, characterized in that: After the step of matching the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation, and the alarm analysis displaying the alarm details information and the alarm analysis result, the following step is further included: Analyze the probability of the fault cause of the alarm point; According to the probability analysis result of the fault cause, the information of the alarm points is sorted.

3. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a computer processor, the alarm analysis method according to any one of claims 1 to 2 is implemented.

4. An alarm analysis system, characterized in that: The alarm analysis system is applied to industrial equipment to perform alarm analysis on abnormal gas status of industrial equipment, including: An acquisition unit, used for acquiring input alarm point information; A first matching unit, used for matching a preset alarm rule according to the alarm point information; A second matching unit is used to retrieve alarm content data corresponding to the alarm point in the alarm point database according to the alarm point information; A first calculation unit is used to calculate the absolute value of the difference between the current value of the alarm point and the high limit value according to the alarm rule to obtain a high deviation; A second calculation unit is used to calculate the absolute value of the difference between the current value of the alarm point and the lower limit value according to the alarm rule to obtain a lower deviation; An analysis unit, configured to match a corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation, wherein the alarm analysis displays alarm detail information and an alarm analysis result; Wherein, the step of matching the preset alarm rules according to the alarm point information includes: Obtain the device type corresponding to the alarm point information; According to the device type, searching for an alarm rule corresponding to the device type in a preset alarm rule library; The retrieved alarm rule is used as the alarm rule corresponding to the alarm point information; Wherein, before the step of retrieving the alarm content data corresponding to the alarm point in the alarm point database according to the alarm point information, the step further includes: Receive template information input by a user, where the template information includes one or more of an alarm point, a deviation, an alarm analysis statement, an alarm type, an alarm fault cause, a consequence of the fault, existing measures, and an operation suggestion; Establish an alarm point database based on template information; Wherein, according to the high deviation and the low deviation, after the step of matching the corresponding alarm analysis in the alarm point database, the method further includes: Determine whether the alarm cause of the alarm point belongs to the alarm point database; If yes, then the instantaneous value and real-time value at the alarm time in the alarm point database are displayed; Wherein, according to the high deviation and the low deviation, after the step of matching the corresponding alarm analysis in the alarm point database, the method further includes: Determine whether the alarm cause of the alarm point belongs to the alarm point database; If not, the alarm reason is added to the alarm point database; Wherein, the step of matching the corresponding alarm analysis in the alarm point database according to the high deviation and the low deviation comprises: The high deviation matches the corresponding high deviation alarm analysis; The low deviation matches the corresponding alarm analysis of the low deviation; Wherein, the alarm point information includes the position coordinates of the alarm point; according to the pre-established correspondence between the position coordinates of the alarm point and the device type, the device type corresponding to the alarm point information is determined; The high deviation is used to determine whether the current value is close to or exceeds the upper limit set by the alarm rule; The low deviation is used to determine whether the current value is close to or below the lower limit. By comparing the high deviation and the low deviation, it is determined that the current value of the alarm point is more inclined to be close to the high or low position.

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