A control method for intelligent alarm information management terminal based on virtual keyboard

Abstract

The present invention relates to the field of monitoring and early warning technology, and discloses a control method for an intelligent alarm information management terminal based on a virtual keyboard, including: identifying the operating status of the device, and generating an arming button according to the operating status; when the device is armed, collecting the device operating data to establish an operating database, and recording the device operating time, real-time monitoring of data fluctuations in the database, when data fluctuations occur, obtaining the device impact factor according to the fluctuation range and fluctuation time, and judging whether the device is abnormal according to the device impact factor; when it is determined that the device is abnormal, collecting the device operating temperature and comparing the operating temperature with a preset temperature threshold, and determining the device risk level according to the comparison result; generating a disarming, maintenance or early warning button according to the risk level. The present invention improves the performance and user experience of the alarm system and improves the safety of device operation through virtual keyboard interaction, real-time data monitoring, intelligent anomaly detection and risk assessment.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring and early warning, and in particular to a control method of an intelligent alarm information management terminal based on a virtual keyboard. Background Art

[0002] In modern manufacturing, industrial facilities usually contain a large number of production equipment and complex workflows. Any equipment failure or abnormality may lead to serious safety accidents. Therefore, early warning monitoring of equipment failure is extremely important.

[0003] However, currently, alarm devices rely on physical buttons or external controllers for operation. This interactive mode lacks convenience. When users perform operations such as arming and disarming, they often need to go through multiple manual steps, which makes the operation time-consuming and less intuitive. It cannot adapt to the modern user's pursuit of simple and fast operation habits. In addition, the function settings of traditional alarm systems are relatively rigid, lacking sufficient customization space, and it is difficult to meet the needs of different users for system flexibility and personalized configuration.

[0004] Therefore, it is necessary to design an intelligent alarm information management terminal control method based on a virtual keyboard to solve the problems existing in the current technology. Summary of the invention

[0005] In view of this, the present invention proposes a control method for an intelligent alarm information management terminal based on a virtual keyboard, aiming to solve the problem that the current alarm equipment is complicated to operate, buttons cannot be customized, and there is a lack of personalized configuration.

[0006] The present invention proposes a virtual keyboard-based intelligent alarm information management terminal control method, comprising:

[0007] Identify the operating status of the device and generate an arming button according to the operating status;

[0008] When the equipment is deployed, the equipment operation data is collected to establish an operation database, and the equipment operation time is recorded. The data fluctuation in the database is monitored in real time. When data fluctuation occurs, the equipment impact factor is obtained according to the fluctuation range and fluctuation time, and whether the equipment is abnormal is determined according to the equipment impact factor;

[0009] When it is determined that the device is abnormal, the operating temperature of the device is collected and compared with a preset temperature threshold, and the risk level of the device is determined according to the comparison result;

[0010] A disarm, maintenance or warning button is generated according to the risk level.

[0011] Further, when identifying the operating status of the device and generating an arming button according to the operating status, it also includes:

[0012] Collecting the number of equipment operations, and comparing the number of operations with a first preset number of operations and a second preset number of operations, respectively, the first preset number of operations being less than the second preset number of operations, and determining the deployment monitoring area according to the comparison result;

[0013] When the running number is less than or equal to the first preset running number, determining the deployment monitoring area to be the first preset monitoring area;

[0014] When the running number is greater than the first preset running number and less than or equal to the second preset running number, determining the deployment monitoring area to be the second preset monitoring area;

[0015] When the running number is greater than the second preset running number, determining the deployment monitoring area to be the third preset monitoring area;

[0016] Among them, the first preset monitoring area is smaller than the second preset monitoring area, and the second preset monitoring area is smaller than the third preset monitoring area.

[0017] Furthermore, when the device is armed, the device operation data is collected to establish an operation database, and the device operation time is recorded, which also includes:

[0018] Formulate a cyclic maintenance time, generate a maintenance button every time the cyclic maintenance time passes, and the cyclic maintenance time is proportional to the deployment monitoring area;

[0019] When the deployment monitoring area is the first preset monitoring area, the cyclic maintenance time is the first preset cyclic maintenance time;

[0020] When the deployment monitoring area is the second preset monitoring area, the cycle maintenance time is the second preset cycle maintenance time;

[0021] When the deployment monitoring area is the third preset monitoring area, the cyclic maintenance time is the third preset cyclic maintenance time;

[0022] The first preset cycle maintenance time is shorter than the second preset cycle maintenance time, and the second preset cycle maintenance time is shorter than the third preset cycle maintenance time.

[0023] Furthermore, real-time monitoring of data fluctuations in the database includes:

[0024] Calculate the fluctuation value according to the data in the database, compare the fluctuation value with the standard fluctuation value, and determine whether there is fluctuation according to the comparison result;

[0025] When the fluctuation value is greater than the standard fluctuation value, it is determined that the data in the database fluctuates;

[0026] When the fluctuation value is less than or equal to the standard fluctuation value, it is determined that the data in the database has not fluctuated;

[0027] The fluctuation value is the absolute value of the difference between the equipment operation data at the current moment and the equipment operation data at the previous moment, and the operation data includes the equipment operation voltage, operation current and operation speed.

[0028] Furthermore, when data fluctuations occur, the device impact factor is obtained according to the fluctuation range and fluctuation time, including:

[0029] The equipment impact factor is calculated by the following formula:

[0030]

[0031] Wherein, Y represents the equipment influencing factor, N represents the type of operating data, ΔVi represents the fluctuation value of the i-th operating parameter, Vi represents the standard value of the i-th operating parameter, wi represents the weight coefficient of the i-th operating parameter, β is the time factor adjustment coefficient, t0 represents the total fluctuation time, and T represents the time period.

[0032] Furthermore, the sum of the fluctuation time is calculated by the following formula:

[0033]

[0034] Where ti represents the total time that the i-th type of operating parameter deviates from the normal range.

[0035] Further, judging whether the device is abnormal according to the device influencing factor includes:

[0036] Comparing the device impact factor with a preset impact threshold, and determining whether there is an abnormality based on the comparison result;

[0037] When the device impact factor is greater than the impact threshold, it is determined that the device is abnormal;

[0038] When the device impact factor is less than or equal to the impact threshold, it is determined that there is no abnormality in the device.

[0039] Furthermore, when determining the risk level of the equipment based on the comparison results, it includes:

[0040] Obtaining a temperature difference value according to the device operating temperature and the temperature threshold, the temperature difference value being the difference between the device operating temperature and the temperature threshold value, comparing the temperature difference value with a first preset temperature difference value and a second preset temperature difference value respectively, and determining the device risk level according to the comparison result;

[0041] When the temperature difference is less than or equal to the first preset temperature difference, determining the equipment risk level as the third risk level;

[0042] When the temperature difference is greater than the first preset temperature difference and less than or equal to the second preset temperature difference, determining the equipment risk level to be the second risk level;

[0043] When the temperature difference is greater than the second preset temperature difference, determining the equipment risk level to be the third risk level;

[0044] The third risk level indicates that the equipment abnormality is lower than the second risk level, and the second risk level indicates that the equipment abnormality is lower than the first risk level.

[0045] Further, when generating a disarm, maintenance or warning button according to the risk level, it includes:

[0046] When the risk level is the first preset risk level, a disarm and warning button is generated;

[0047] When the risk level is a second preset risk level, generating an early warning button;

[0048] When the risk level is the third preset risk level, a maintenance button is generated.

[0049] Compared with the prior art, the beneficial effects of the present invention are: by using a virtual keyboard for interaction, users can quickly complete operations such as arming and disarming through a touch screen or other intelligent input methods (such as voice control), simplifying the traditional multi-step manual process, shortening the operation time, and improving the intuitiveness of the operation and user experience. Automatically configure the alarm operation according to the real-time operating status of the device, rather than relying on fixed physical buttons or external controllers. The adaptive method meets the needs of modern users for system flexibility and personalized configuration, and adapts to different application scenarios and user preferences. After the device is armed, the operating data of the device is collected and monitored in real time, and an operating database is established. Through real-time analysis of the data fluctuations in the database, the device influencing factors are calculated to evaluate whether the operating status of the device is normal. Timely discover potential anomalies, effectively prevent equipment failures, and reduce the risk of equipment damage or safety accidents. After detecting an abnormality in the device, the operating temperature of the device is further collected and compared with a preset temperature threshold. According to the comparison results, the risk level of the device is determined to ensure an accurate assessment of the risk of the device, and adaptive disarming, maintenance or early warning buttons are automatically generated according to the risk level. It can quickly respond to abnormal conditions of the device, and can also take the most appropriate action according to the prompt, such as immediate maintenance or starting an early warning mechanism. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0051] Figure 1 A flowchart of a method for controlling an intelligent alarm information management terminal based on a virtual keyboard provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0053] In modern manufacturing, the equipment and workflow within industrial factories are highly complex and usually include a large number of production equipment, such as automated machinery, conveyor systems, robots, and control systems. The stable operation of these devices is crucial to ensuring the production efficiency and safety of the factory. Any failure or abnormality of any equipment may lead to production interruption, or even cause serious safety accidents or economic losses. Therefore, timely and accurate monitoring of the operating status of equipment and early warning of potential failures have become key tasks in industrial management.

[0054] However, the alarm systems currently used in many factories mainly rely on physical buttons or external controllers for operation. This traditional interaction method has limitations in many aspects. When users perform operations such as arming and disarming, they usually need to complete them manually through multiple steps. This process is not only time-consuming, but also the operation experience is not intuitive enough. The fixed configuration of physical buttons and controllers cannot flexibly adapt to different scenarios and user needs, especially in the face of complex and changing industrial environments, which makes the operation more cumbersome and inefficient. In addition, the functions of traditional alarm systems are usually pre-fixed, lacking sufficient customization space, and it is difficult to meet the requirements of different users for system flexibility and personalized configuration. In factories, there are many types of equipment and different operating states. Each equipment and process may require specific monitoring and alarm strategies. Therefore, the existing fixed function settings cannot fully meet the actual needs of various equipment operations, and cannot provide accurate and efficient alarm and management services.

[0055] In some embodiments of the present application, see Figure 1 As shown, a method for controlling an intelligent alarm information management terminal based on a virtual keyboard includes:

[0056] S100: Identify the operating status of the device and generate an arming button according to the operating status.

[0057] S200: When the device is deployed, the device operation data is collected to establish an operation database, and the device operation time is recorded. The data fluctuation in the database is monitored in real time. When data fluctuation occurs, the device impact factor is obtained according to the fluctuation range and fluctuation time, and whether the device is abnormal is determined according to the device impact factor.

[0058] S300: When it is determined that the device is abnormal, the operating temperature of the device is collected and compared with a preset temperature threshold, and the risk level of the device is determined according to the comparison result.

[0059] S400: Generate disarm, maintenance or warning buttons according to risk level.

[0060] Specifically, in S100, the current operating state of the device is identified. This can be achieved by real-time analysis of multiple sensor data of the device, such as key parameters such as current and vibration. Based on these data, it is automatically determined whether the device is in standby, running, paused or other specific states. According to the operating state of the device, an arming button is dynamically generated so that the user can quickly enable the monitoring mode of the device. The virtual keyboard provides a flexible interactive method, and the user can complete the arming operation with a simple click, avoiding the traditional multi-step manual setting. In S200, when the user enables device monitoring through the arming button, the operating data of the device begins to be collected and stored in an operating database. The database records various parameters of the device and their changes in real time. These data are continuously monitored and their fluctuation range and fluctuation time are analyzed. Specifically, the fluctuation range refers to the difference between the device parameters and the standard parameters, and the fluctuation time is the duration of the device parameters exceeding the normal range. Based on these fluctuation data, the device impact factor is calculated to comprehensively evaluate the operating stability of the device and the severity of potential abnormalities, and determine whether the device has abnormal conditions. In S300, if an abnormality is detected in the device, the operating temperature data of the device is further collected. The collected temperature data is compared with the pre-set temperature threshold. These thresholds are set based on the technical specifications or historical operating data of the device. By comparing the temperature data and the threshold, the current risk level of the device is evaluated. For example, if the temperature is significantly outside the normal range, it indicates that the device is in a high-risk state. Based on the comparison results, the risk level of the device is determined. According to the risk level, the corresponding action buttons are dynamically generated. By clicking the Disarm button, the monitoring mode is turned off. Click the Maintenance button to start the maintenance program to eliminate potential faults. Click the Alert button to notify relevant personnel or systems to take emergency response measures.

[0061] It is understandable that the virtual keyboard simplifies operations such as arming and disarming, and users can quickly complete related operations through the touch screen or other intelligent input devices, which improves the convenience and intuitiveness of the system's operation. Dynamically generating operation buttons based on the real-time operating status of the equipment avoids the rigid settings of traditional physical buttons, provides a larger customization space, and meets the personalized needs of different users. Based on real-time monitoring of equipment operation data and calculation of equipment influencing factors, it can accurately identify abnormal conditions and potential risks of equipment, and provide more accurate abnormality detection capabilities than traditional methods. By comparing temperature data with preset thresholds, the risk level of the equipment can be accurately assessed, and adaptive operation buttons can be dynamically generated to help users quickly make the most appropriate response. Through comprehensive monitoring and intelligent management methods, the occurrence of equipment failures is effectively prevented and reduced, and the safety and reliability of equipment operation are improved.

[0062] In some embodiments of the present application, when identifying the operating status of the device and generating an arming button based on the operating status, it also includes: collecting the operating quantity of the device, and comparing the operating quantity with a pre-set first preset operating quantity and a second preset operating quantity, respectively, the first preset operating quantity is smaller than the second preset operating quantity, and determining the arming monitoring area based on the comparison result.

[0063] Specifically, when the running number is less than or equal to the first preset running number, the deployment monitoring area is determined to be the first preset monitoring area. When the running number is greater than the first preset running number and less than or equal to the second preset running number, the deployment monitoring area is determined to be the second preset monitoring area. When the running number is greater than the second preset running number, the deployment monitoring area is determined to be the third preset monitoring area. Among them, the first preset monitoring area is smaller than the second preset monitoring area, and the second preset monitoring area is smaller than the third preset monitoring area.

[0064] It is understandable that the number of running devices in a factory usually reflects the current production load and work intensity. By comparing the real-time collected running number with different preset thresholds, the coverage of the deployment monitoring is dynamically adjusted according to the actual load conditions. Ensure comprehensive monitoring under high load conditions and reduce the risk of missed reports and false alarms. When the number of devices increases, the monitoring area is expanded to cover more potential failure points, improving the reliability and effectiveness of security monitoring.

[0065] In some embodiments of the present application, when the device is deployed, the device operation data is collected to establish an operation database, and the device operation time is recorded, it also includes: formulating a cyclic maintenance time, generating a maintenance button every time the cyclic maintenance time passes, and the cyclic maintenance time is proportional to the deployment monitoring area.

[0066] Specifically, when the monitoring area is the first preset monitoring area, the cyclic maintenance time is the first preset cyclic maintenance time. When the monitoring area is the second preset monitoring area, the cyclic maintenance time is the second preset cyclic maintenance time. When the monitoring area is the third preset monitoring area, the cyclic maintenance time is the third preset cyclic maintenance time. The first preset cyclic maintenance time is less than the second preset cyclic maintenance time, and the second preset cyclic maintenance time is less than the third preset cyclic maintenance time.

[0067] It is understandable that the cycle maintenance time is intelligently adjusted according to the size of the monitoring area, so that the maintenance cycle is closely related to the actual monitoring needs. When the monitoring area is large, a longer maintenance cycle is set, and when the monitoring area is small, the maintenance cycle is shortened accordingly. When the load is light, timely maintenance is carried out to ensure the stable operation of the equipment; when the load is heavy, unnecessary maintenance interference is reduced and resources are concentrated on monitoring key areas. By reasonably setting the cycle maintenance time, users are reminded to perform equipment maintenance at the appropriate time to prevent equipment failure or performance degradation due to long-term non-maintenance.

[0068] In some embodiments of the present application, real-time monitoring of data fluctuations in a database includes: calculating a fluctuation value based on the data in the database, comparing the fluctuation value with a standard fluctuation value, and determining whether there is fluctuation based on the comparison result.

[0069] Specifically, when the fluctuation value is greater than the standard fluctuation value, it is determined that the data in the database has fluctuated. When the fluctuation value is less than or equal to the standard fluctuation value, it is determined that the data in the database has not fluctuated. The fluctuation value is the absolute value of the difference between the equipment operation data at the current moment and the equipment operation data at the previous moment. The operation data includes the equipment operation voltage, operation current and operation speed.

[0070] It can be understood that by comparing the real-time calculated fluctuation value with the preset standard fluctuation value, it is possible to accurately determine whether there is abnormal fluctuation in the equipment operation data. When the fluctuation value exceeds the standard fluctuation value, the data is immediately determined to have fluctuated, thereby triggering further risk assessment or alarm measures. This improves the system's response speed and sensitivity to abnormal situations, ensuring that equipment anomalies can be discovered and handled in a timely manner.

[0071] In some embodiments of the present application, when data fluctuation occurs, obtaining the device impact factor according to the fluctuation range and the fluctuation time includes:

[0072] The equipment impact factor is calculated by the following formula:

[0073]

[0074] Wherein, Y represents the equipment influencing factor, N represents the type of operating data, ΔVi represents the fluctuation value of the i-th operating parameter, Vi represents the standard value of the i-th operating parameter, wi represents the weight coefficient of the i-th operating parameter, β is the time factor adjustment coefficient, t0 represents the total fluctuation time, and T represents the time period.

[0075] In some embodiments of the present application, the sum of the fluctuation time is calculated by the following formula:

[0076]

[0077] Where ti represents the total time that the i-th type of operating parameter deviates from the normal range.

[0078] It is understandable that the fluctuations, standard values, weight coefficients and duration of fluctuations of various operating parameters are combined. By combining these factors, the overall operating status of the equipment and the degree of abnormal impact are accurately evaluated. Not only the amplitude of the fluctuation is concerned, but also the duration of the fluctuation is emphasized. The dynamic adjustment mechanism can more accurately evaluate the impact of long-term abnormalities on the equipment, thereby improving the accuracy of risk assessment. Combining various abnormal situations into a quantitative indicator makes it easier to quickly determine the risk level and severity of the abnormality of the equipment.

[0079] In some embodiments of the present application, when judging whether a device has an abnormality based on a device impact factor, the method includes comparing the device impact factor with a preset impact threshold, and judging whether an abnormality exists based on the comparison result.

[0080] Specifically, when the device impact factor is greater than the impact threshold, it is determined that the device is abnormal. When the device impact factor is less than or equal to the impact threshold, it is determined that the device is not abnormal.

[0081] In some embodiments of the present application, when determining the risk level of a device based on a comparison result, it includes: obtaining a temperature difference based on the device operating temperature and a temperature threshold, the temperature difference being the difference between the device operating temperature and the temperature threshold, comparing the temperature difference with a pre-set first preset temperature difference and a second preset temperature difference, respectively, and determining the risk level of the device based on the comparison result.

[0082] Specifically, when the temperature difference is less than or equal to the first preset temperature difference, the equipment risk level is determined to be the third risk level. When the temperature difference is greater than the first preset temperature difference and less than or equal to the second preset temperature difference, the equipment risk level is determined to be the second risk level. When the temperature difference is greater than the second preset temperature difference, the equipment risk level is determined to be the third risk level. Among them, the third risk level indicates that the equipment abnormality is lower than the second risk level, and the second risk level indicates that the equipment abnormality is lower than the first risk level.

[0083] In some embodiments of the present application, when a disarm, maintenance or warning button is generated according to the risk level, it includes: when the risk level is a first preset risk level, a disarm and warning button is generated. When the risk level is a second preset risk level, a warning button is generated. When the risk level is a third preset risk level, a maintenance button is generated.

[0084] It can be understood that by comparing the device impact factor with the preset impact threshold, a preliminary judgment can be made as to whether the device is abnormal. Potential abnormal devices can be quickly screened out. A risk level classification method based on temperature difference is further introduced to accurately evaluate and classify the risk level according to the actual operating temperature of the device. According to the risk level of the device, the corresponding operation button (disarm, maintenance or warning button) is generated. Appropriate operation suggestions can be provided based on the real-time risk assessment results. For example, when the risk level is high, disarm and warning buttons are generated to remind users to take immediate action; while in lower risk situations, maintenance buttons are generated to prompt users to perform routine inspections. The dynamic response function based on risk level improves the emergency handling capability, provides users with clear operation guidance, and simplifies the user's decision-making process.

[0085] In the above embodiments, a virtual keyboard is used for interaction. Users can quickly complete operations such as arming and disarming through a touch screen or other intelligent input methods (such as voice control), which simplifies the traditional multi-step manual process, shortens the operation time, and improves the intuitiveness of the operation and user experience. The alarm operation is automatically configured according to the real-time operating status of the device, rather than relying on fixed physical buttons or external controllers. The adaptive method meets the needs of modern users for system flexibility and personalized configuration, and adapts to different application scenarios and user preferences. After the device is armed, the operating data of the device is collected and monitored in real time, and an operating database is established. Through real-time analysis of the data fluctuations in the database, the device influencing factors are calculated to evaluate whether the operating status of the device is normal. Potential anomalies are discovered in a timely manner, equipment failures are effectively prevented, and the risk of equipment damage or safety accidents is reduced. After detecting an abnormality in the device, the operating temperature of the device is further collected and compared with a pre-set temperature threshold. According to the comparison results, the risk level of the device is determined to ensure an accurate assessment of the risk of the device, and adaptive disarming, maintenance or early warning buttons are automatically generated according to the risk level. It can quickly respond to abnormal conditions of the device, and can also take the most appropriate action according to the prompt, such as immediate maintenance or starting an early warning mechanism.

[0086] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0087] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0088] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0089] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for controlling an intelligent alarm information management terminal based on a virtual keyboard, characterized in that: include: Identify the operating status of the device and generate an arming button according to the operating status; When the equipment is deployed, the equipment operation data is collected to establish an operation database, and the equipment operation time is recorded. The data fluctuation in the database is monitored in real time. When data fluctuation occurs, the equipment impact factor is obtained according to the fluctuation range and fluctuation time, and whether the equipment is abnormal is determined according to the equipment impact factor; When it is determined that the device is abnormal, the operating temperature of the device is collected and compared with a preset temperature threshold, and the risk level of the device is determined according to the comparison result; Generate a disarm, maintenance or warning button according to the risk level; When identifying the operating state of the device and generating an arming button according to the operating state, it also includes: Collecting the number of equipment operations, and comparing the number of operations with a first preset number of operations and a second preset number of operations, respectively, the first preset number of operations being less than the second preset number of operations, and determining the deployment monitoring area according to the comparison result; When the running number is less than or equal to the first preset running number, determining the deployment monitoring area to be the first preset monitoring area; When the running number is greater than the first preset running number and less than or equal to the second preset running number, determining the deployment monitoring area to be the second preset monitoring area; When the running number is greater than the second preset running number, determining the deployment monitoring area to be the third preset monitoring area; Wherein, the first preset monitoring area is smaller than the second preset monitoring area, and the second preset monitoring area is smaller than the third preset monitoring area; When the device is armed, the device operation data is collected to establish the operation database and record the device operation time, which also includes: Formulate a cyclic maintenance time, generate a maintenance button every time the cyclic maintenance time passes, and the cyclic maintenance time is proportional to the deployment monitoring area; When the deployment monitoring area is the first preset monitoring area, the cyclic maintenance time is the first preset cyclic maintenance time; When the deployment monitoring area is the second preset monitoring area, the cycle maintenance time is the second preset cycle maintenance time; When the deployment monitoring area is the third preset monitoring area, the cyclic maintenance time is the third preset cyclic maintenance time; Wherein, the first preset cycle maintenance time is less than the second preset cycle maintenance time, and the second preset cycle maintenance time is less than the third preset cycle maintenance time; When data fluctuations occur, the device impact factor is obtained based on the fluctuation range and fluctuation time, including: The equipment impact factor is calculated by the following formula: Where Y represents the equipment influencing factor, N represents the type of operating data, ΔVi represents the fluctuation value of the i-th operating parameter, Vi represents the standard value of the i-th operating parameter, wi represents the weight coefficient of the i-th operating parameter, β represents the time factor adjustment coefficient, t0 represents the total fluctuation time, and T represents the time period; When determining the risk level of the equipment based on the comparison results, it includes: Obtaining a temperature difference value according to the device operating temperature and the temperature threshold, wherein the temperature difference value is the difference between the device operating temperature and the temperature threshold value, comparing the temperature difference value with a first preset temperature difference value and a second preset temperature difference value respectively, and determining the device risk level according to the comparison result; When the temperature difference is less than or equal to the first preset temperature difference, determining the equipment risk level as the third risk level; When the temperature difference is greater than the first preset temperature difference and less than or equal to the second preset temperature difference, determining the equipment risk level to be the second risk level; When the temperature difference is greater than the second preset temperature difference, determining the equipment risk level to be the third risk level; Wherein, the third risk level indicates that the equipment abnormality is lower than the second risk level, and the second risk level indicates that the equipment abnormality is lower than the first risk level; When disarm, maintenance or warning buttons are generated according to the risk level, it includes: When the risk level is the first preset risk level, a disarm and warning button is generated; When the risk level is a second preset risk level, generating an early warning button; When the risk level is the third preset risk level, a maintenance button is generated.

2. The method for controlling an intelligent alarm information management terminal based on a virtual keyboard according to claim 1 is characterized in that: Real-time monitoring of data fluctuations in the database includes: Calculate the fluctuation value according to the data in the database, compare the fluctuation value with the standard fluctuation value, and determine whether there is fluctuation according to the comparison result; When the fluctuation value is greater than the standard fluctuation value, it is determined that the data in the database fluctuates; When the fluctuation value is less than or equal to the standard fluctuation value, it is determined that the data in the database has not fluctuated; The fluctuation value is the absolute value of the difference between the equipment operation data at the current moment and the equipment operation data at the previous moment, and the operation data includes the equipment operation voltage, operation current and operation speed.

3. The method for controlling an intelligent alarm information management terminal based on a virtual keyboard according to claim 1 is characterized in that: The sum of the fluctuation time is calculated by the following formula: Where ti represents the total time that the i-th type of operating parameter deviates from the normal range.

4. The method for controlling an intelligent alarm information management terminal based on a virtual keyboard according to claim 3 is characterized in that: When judging whether the device is abnormal according to the device influencing factor, it includes: Comparing the device impact factor with a preset impact threshold, and determining whether there is an abnormality based on the comparison result; When the device impact factor is greater than the impact threshold, it is determined that the device is abnormal; When the device impact factor is less than or equal to the impact threshold, it is determined that there is no abnormality in the device.

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