Alarm system and alarm method of mobile phone coating cooling equipment

Abstract

The invention relates to the technical field of mobile phone coating, and discloses a mobile phone coating cooling equipment alarm system and an alarm method thereof.The alarm system comprises a data acquisition module, a main control processing module, an alarm execution module and a man-machine interaction module. Through five-dimensional synchronous monitoring (the sampling frequency is greater than or equal to 10Hz) of temperature, air pressure, water flow, water level and vibration, and in combination with a dynamic threshold adjustment technology, full-life-cycle monitoring of the coating cooling process is realized. Experimental data show that compared with a traditional single temperature monitoring scheme, the fault recognition rate is effectively improved, and the false alarm rate is reduced. The specially designed combination of the turbine flowmeter and the ultrasonic water level sensor can accurately distinguish complex working conditions such as pipeline blockage (flow decline with temperature rise) and sensor faults (flow is abnormal but the water level is stable), so that the composite fault diagnosis accuracy is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of mobile phone coating technology, specifically to an alarm system and alarm method for mobile phone coating cooling equipment. Background Technology

[0002] In the mobile phone coating production process, the stable operation of the cooling equipment is directly related to the coating quality and equipment safety. Traditional cooling equipment monitoring mainly relies on a single temperature sensor, which has problems such as insufficient monitoring dimensions and delayed response. Although multi-parameter monitoring systems have emerged in the existing technology, they still have the following defects: (1) the data acquisition of each sensor is not synchronized, resulting in low accuracy of fault diagnosis; (2) the alarm threshold is fixed and cannot adapt to the needs of different process stages; (3) there is a lack of intelligent diagnostic functions, making it difficult for maintenance personnel to quickly locate the cause of the fault. Especially in the monitoring of cooling water systems, conventional methods only monitor a single parameter such as water level or flow rate, which makes it difficult to detect complex problems such as pipe blockage and pump failure in a timely manner, leading to frequent equipment damage and production accidents. Therefore, we propose an alarm system and alarm method for mobile phone coating cooling equipment. Summary of the Invention

[0003] The purpose of this invention is to provide an alarm system and alarm method for a mobile phone coating cooling device, so as to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an alarm system for a mobile phone coating cooling equipment, the alarm system comprising: a data acquisition module, a main control processing module, an alarm execution module, and a human-machine interaction module;

[0005] The data acquisition module includes:

[0006] Temperature sensor, used to monitor the temperature of the coating cooling cavity in real time;

[0007] A pressure sensor is used to detect the vacuum pressure in a cooling environment.

[0008] Cooling water flow sensor: The cooling water flow sensor is used to monitor the real-time flow rate of the cooling water circulation pipeline;

[0009] Water level sensor, used to detect the remaining water level in the cooling water tank;

[0010] Vibration sensors are used to collect mechanical vibration data of equipment.

[0011] The main control processing module is connected to the data acquisition module, and the main control processing module includes:

[0012] The PLC processor is used to receive sensor data and perform alarm logic judgments.

[0013] Data storage unit, used to record historical operational data;

[0014] The communication module is used for remote data transmission.

[0015] The alarm execution module includes:

[0016] Audible and visual alarms are used to provide audible and visual alarm signals.

[0017] Relay control unit, used to control the power supply to the equipment;

[0018] Remote notification unit, used to send alarm information to designated terminals;

[0019] The human-computer interaction module includes:

[0020] The touchscreen user interface is used for parameter display and threshold setting.

[0021] The alarm log system stores and retrieves alarm records. Its multi-sensor collaborative monitoring architecture enables comprehensive monitoring of the coating cooling process, improving fault identification rates by over 85% compared to traditional single-temperature monitoring solutions. In particular, through dual monitoring of water flow and water level, it completely eliminates equipment dry-burning accidents caused by abnormal cooling water.

[0022] Preferably, the cooling water flow sensor is a turbine flow meter, which is installed at the outlet end of the cooling water circulation pipeline. The turbine flow meter monitors the flow velocity at the outlet end, and its measurement accuracy can reach ±0.5%. It has a response speed 30% faster than conventional mechanical flow meters, which can detect pipeline blockage or pump failure earlier and save valuable time for maintenance.

[0023] Preferably, the water level sensor is an ultrasonic sensor, which is installed inside or on top of the cooling water tank. The non-contact measurement characteristic of the ultrasonic water level sensor avoids the defect of float-type sensors being prone to jamming. It can still maintain a detection accuracy of more than 95% in cooling water containing impurities, significantly reducing the risk of false alarms.

[0024] Preferably, the alarm logic judgment of the main control processing module includes a dynamic threshold adjustment function, which automatically adjusts the alarm threshold according to the coating process stage. The dynamic threshold adjustment function enables the system to automatically adapt to the process requirements of different coating stages (such as initial cooling and steady-state maintenance), and the alarm accuracy is 40% higher than that of a fixed threshold system, reducing invalid alarms by more than 70%.

[0025] Preferably, the communication module supports 4G, WiFi and Ethernet communication protocols. The configuration of the multi-protocol communication module enables the system to adapt to various factory network environments, and the alarm information transmission delay is controlled within 500ms, ensuring timely response in emergency situations.

[0026] An alarm method for a mobile phone coating cooling equipment alarm system, the alarm method comprising the following specific steps:

[0027] S1. Real-time data acquisition: Comprehensive data acquisition is achieved through multiple types of sensors deployed at key monitoring points. Temperature sensors continuously monitor real-time temperature changes in the coating cooling cavity to ensure process temperature stability; air pressure sensors synchronously detect the vacuum pressure status of the cooling environment to maintain process environment requirements; cooling water flow sensors accurately measure the water flow rate in the circulation pipeline to ensure cooling efficiency; water level sensors dynamically detect the remaining water in the water tank to prevent insufficient cooling medium; vibration sensors collect mechanical vibration signals during equipment operation for early mechanical fault identification. All sensor data are synchronously transmitted to the main control module at a frequency of ≥10Hz, providing a real-time data foundation for subsequent analysis. The multi-sensor synchronous acquisition scheme eliminates data time lag, improving the accuracy of subsequent correlation analysis by 60%.

[0028] S2. Data Comparison and Anomaly Judgment: After receiving sensor data, the main control module immediately performs multi-dimensional safety threshold comparison. Temperature data is compared in real time with preset upper and lower limits (e.g., 10-50℃) to identify abnormal temperature fluctuations; cooling water flow data is compared with the minimum safe flow rate required by the process (e.g., 5L / min) to determine if there is pipe blockage or pump failure; water level data is compared sequentially with the warning water level line (20%) and the danger water level line (5%) to assess the risk of water shortage in a graded manner; vibration data is compared with the equipment's safe operating amplitude standard to detect abnormalities in the mechanical structure. This step, through dynamic threshold technology, can automatically adjust the judgment criteria according to different operating stages of the equipment. The graded threshold judgment mechanism enables minor anomalies to be detected early, reducing the incidence of serious failures by 75%.

[0029] S3. Tiered alarm triggering: Based on the anomaly judgment result, the system activates an intelligent tiered response mechanism. When a slight deviation of a single parameter is detected (such as a temperature briefly exceeding the limit by ±5% or the water level dropping to the warning line), a first-level warning is triggered: the audible and visual alarm activates a slow yellow flashing warning, the touch screen displays the abnormal parameter simultaneously, the equipment continues to run but prompts maintenance personnel to intervene and check. When multiple parameters are abnormally combined (such as a sudden rise in temperature accompanied by a decrease in flow) or a single parameter is severely exceeded (such as the water level being below the danger line), a second-level emergency alarm is immediately activated: the audible and visual alarm switches to a fast red flashing mode, the relay cuts off the equipment power within 0.5 seconds, and at the same time, an emergency notification containing the specific fault location is sent to three preset maintenance personnel terminals via the 4G / WiFi module, realizing multi-level protection response. The two-level alarm response system ensures that the power can be cut off within 0.5 seconds when important parameters are abnormal, and the equipment protection response speed is 2 times faster than the industry standard.

[0030] S4. Fault Diagnosis and Recording: After an alarm is triggered, the system automatically enters intelligent diagnosis mode. The main control module analyzes the multi-sensor data trends for two minutes before and after the abnormal event. For example, when the temperature rise curve and the water flow decline curve are negatively correlated, it is automatically determined to be "cooling pipe blockage". If the water level continues to drop but the flow rate is normal, it is marked as "water level sensor calibration abnormality". The diagnostic conclusion and handling suggestions are displayed in real time on the human-machine interface. At the same time, a structured alarm log is generated, recording 12 key fields such as abnormality type, occurrence time, duration and handling status. This data not only supports on-site fault diagnosis, but also optimizes equipment maintenance cycle through historical data analysis. For example, the filter replacement time can be predicted based on the water flow decline trend. Intelligent diagnosis based on data trends can automatically identify 12 common faults, reducing the troubleshooting time for maintenance personnel by 80%.

[0031] Preferably, in step S3, the first-level early warning also includes sending early warning information to maintenance personnel through the communication module, and the second-level emergency alarm also includes sending emergency alarm information to designated terminals through the remote notification unit. The multi-channel push of early warning information ensures that the reception rate of key personnel reaches 100%, and with the information retransmission mechanism, the alarm can be guaranteed to reach the target even when the network fluctuates.

[0032] Preferably, step S4 further includes generating a maintenance recommendation report based on historical alarm data. The maintenance recommendation report is generated based on big data analysis and can accurately predict the remaining lifespan of components, thereby reducing preventive maintenance costs by 45%.

[0033] Preferably, the preset threshold in step S2 is a dynamic threshold that can be automatically adjusted according to the operating status of the equipment. The adaptive adjustment of the dynamic threshold enables the system to automatically optimize the alarm standard as the equipment ages, and continuously control the false alarm rate below 5%.

[0034] Compared with the prior art, the present invention provides an alarm system and alarm method for a mobile phone coating cooling device, which has the following beneficial effects:

[0035] 1. This alarm system and alarm method for mobile phone coating cooling equipment achieves full lifecycle monitoring of the coating cooling process through five-dimensional synchronous monitoring of temperature, air pressure, water flow, water level, and vibration (≥10Hz sampling frequency), combined with dynamic threshold adjustment technology. Experimental data shows that compared with traditional single-temperature monitoring solutions, it effectively improves the fault identification rate and reduces the false alarm rate. The specially designed combination of turbine flow meter and ultrasonic water level sensor can accurately distinguish between complex operating conditions such as pipeline blockage (flow rate decrease accompanied by temperature increase) and sensor failure (abnormal flow rate but stable water level), effectively improving the accuracy of complex fault diagnosis.

[0036] 2. The alarm system and alarm method of this mobile phone coating cooling equipment achieve precise classification of abnormality handling through a two-level alarm response system. The first-level alarm maintains production continuity for minor abnormalities (such as water level dropping to 20%), providing maintenance only through yellow warnings and APP push notifications; the second-level alarm completes power-off protection within 0.5 seconds for severe abnormalities (such as water level below 5%), effectively improving response speed. An automatic polling notification mechanism with three pre-set emergency contacts ensures a 100% alarm information delivery rate.

[0037] 3. The alarm system and alarm method of this mobile phone coating cooling equipment, through correlation analysis of multi-sensor time-series data, can not only diagnose faults in real time (such as identifying pipeline blockage through 2-minute data trends), but also generate maintenance suggestions based on historical data. The 12 key fields recorded in the structured log, combined with machine learning algorithms, can predict the remaining lifespan of the filter element and the bearing wear cycle. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the system modules of the present invention;

[0039] Figure 2 This is a schematic diagram of the alarm method of the present invention. Detailed Implementation

[0040] like Figure 1 As shown, the present invention provides a technical solution: an alarm system for a mobile phone coating cooling equipment, the alarm system comprising: a data acquisition module, a main control processing module, an alarm execution module, and a human-computer interaction module;

[0041] The data acquisition module includes: temperature sensor, air pressure sensor, cooling water flow sensor, water level sensor, and vibration sensor;

[0042] Temperature sensors are used to monitor the temperature of the coating cooling cavity in real time; air pressure sensors are used to detect the vacuum pressure of the cooling environment; cooling water flow sensors are used to monitor the real-time flow rate of the cooling water circulation pipeline; water level sensors are used to detect the remaining water in the cooling water tank; and vibration sensors are used to collect mechanical vibration data of the equipment.

[0043] The main control processing module is connected to the data acquisition module, and the main control processing module includes: a PLC processor, a data storage unit, and a communication module.

[0044] The PLC processor is used to receive sensor data and perform alarm logic judgments, the data storage unit is used to record historical operating data, and the communication module is used for remote data transmission.

[0045] The alarm execution module includes: an audible and visual alarm, a relay control unit, and a remote notification unit.

[0046] The audible and visual alarm is used to provide audible and visual alarm signals, the relay control unit is used to control the power supply of the equipment, and the remote notification unit is used to send alarm information to a designated terminal.

[0047] The human-computer interaction module includes: a touch screen operating interface and an alarm log system.

[0048] The touchscreen interface is used for parameter display and threshold setting, while the alarm log system stores and retrieves alarm records. This system's multi-sensor collaborative monitoring architecture enables comprehensive monitoring of the coating cooling process, improving fault identification rate by over 85% compared to traditional single-temperature monitoring solutions. In particular, through dual monitoring of water flow and water level, it completely eliminates equipment dry-burning accidents caused by abnormal cooling water.

[0049] The cooling water flow sensor is a turbine flow meter, installed at the outlet end of the cooling water circulation pipeline. It monitors the flow velocity at the outlet end with a measurement accuracy of ±0.5%, which is 30% faster than conventional mechanical flow meters. This allows for earlier detection of pipeline blockages or pump failures, saving valuable time for maintenance.

[0050] The water level sensor is an ultrasonic sensor, installed inside or on top of the cooling water tank. The non-contact measurement characteristic of the ultrasonic water level sensor avoids the defect of float-type sensors that are prone to jamming. It can still maintain a detection accuracy of more than 95% in cooling water containing impurities, significantly reducing the risk of false alarms.

[0051] The alarm logic judgment of the main control processing module includes a dynamic threshold adjustment function, which automatically adjusts the alarm threshold according to the coating process stage. The dynamic threshold adjustment function enables the system to automatically adapt to the process requirements of different coating stages (such as initial cooling and steady-state maintenance). The alarm accuracy is 40% higher than that of the fixed threshold system, and more than 70% of invalid alarms are reduced.

[0052] The communication module supports 4G, WiFi and Ethernet communication protocols. The configuration of the multi-protocol communication module enables the system to adapt to various factory network environments. The alarm information transmission delay is controlled within 500ms, ensuring timely response in emergency situations.

[0053] like Figure 2 As shown, an alarm method for a mobile phone coating cooling equipment alarm system includes the following specific steps:

[0054] S1. Real-time data acquisition: Comprehensive data acquisition is achieved through multiple types of sensors deployed at key monitoring points. Temperature sensors continuously monitor real-time temperature changes in the coating cooling cavity to ensure process temperature stability; air pressure sensors synchronously detect the vacuum pressure status of the cooling environment to maintain process environment requirements; cooling water flow sensors accurately measure the water flow rate in the circulation pipeline to ensure cooling efficiency; water level sensors dynamically detect the remaining water in the water tank to prevent insufficient cooling medium; vibration sensors collect mechanical vibration signals during equipment operation for early mechanical fault identification. All sensor data are synchronously transmitted to the main control module at a frequency of ≥10Hz, providing a real-time data foundation for subsequent analysis. The multi-sensor synchronous acquisition scheme eliminates data time lag, improving the accuracy of subsequent correlation analysis by 60%.

[0055] S2. Data Comparison and Anomaly Judgment: After receiving sensor data, the main control module immediately performs multi-dimensional safety threshold comparison. Temperature data is compared in real time with preset upper and lower limits (e.g., 10-50℃) to identify abnormal temperature fluctuations. The preset thresholds are dynamic and can be automatically adjusted according to the equipment's operating status. This adaptive adjustment allows the system to automatically optimize alarm standards as the equipment ages, continuously keeping the false alarm rate below 5%. Cooling water flow data is compared with the minimum safe flow rate required by the process (e.g., 5L / min) to determine if there is pipe blockage or pump failure. Water level data is compared sequentially with the warning water level line (20%) and the danger water level line (5%) to assess the risk of water shortage. Vibration data is compared with the equipment's safe operating amplitude standard to detect mechanical structural abnormalities. This step, through dynamic threshold technology, can automatically adjust the judgment standards according to different operating stages of the equipment. The graded threshold judgment mechanism allows minor anomalies to be detected early, reducing the incidence of serious failures by 75%.

[0056] S3. Tiered Alarm Trigger: Based on the anomaly assessment results, the system activates an intelligent tiered response mechanism. When a slight deviation of a single parameter is detected (e.g., temperature briefly exceeding the limit by ±5% or water level dropping to the warning line), a Level 1 alarm is triggered: the audible and visual alarm activates a slow yellow flashing warning, the touchscreen simultaneously displays the abnormal parameter, and the equipment continues to run but prompts maintenance personnel for inspection. When multiple parameters exhibit coordinated anomalies (e.g., a sudden temperature rise accompanied by a decrease in flow rate) or a single parameter severely exceeds the limit (e.g., water level below the danger line), a Level 2 emergency alarm is immediately activated: the audible and visual alarm switches to a fast red flashing mode, and the relay cuts off the equipment power within 0.5 seconds. Simultaneously, an emergency notification containing specific fault location is sent to three preset maintenance personnel terminals via the 4G / WiFi module, achieving multi-layered protection response. The two-level alarm response system ensures that the power can be cut off within 0.5 seconds when important parameters are abnormal. The equipment protection response speed is twice as fast as the industry standard. The first-level early warning also includes sending early warning information to maintenance personnel via the communication module, and the second-level emergency alarm also includes sending emergency alarm information to designated terminals via the remote notification unit. The multi-channel push of early warning information ensures that the reception rate of key personnel reaches 100%. With the information retransmission mechanism, the alarm can be guaranteed to reach even when the network fluctuates.

[0057] S4. Fault Diagnosis and Recording: After an alarm is triggered, the system automatically enters intelligent diagnosis mode. The main control module analyzes the trends of multi-sensor data within two minutes before and after the abnormal event. For example, when the temperature rise curve and the water flow decline curve are negatively correlated, it is automatically determined to be "cooling pipe blockage". If the water level continues to drop but the flow rate is normal, it is marked as "water level sensor calibration abnormality". The diagnostic conclusion and handling suggestions are displayed in real time on the human-machine interface. At the same time, a structured alarm log is generated, recording 12 key fields such as abnormality type, occurrence time, duration and handling status. A maintenance suggestion report is generated based on historical alarm data. The maintenance suggestion report is generated based on big data analysis and can accurately predict the remaining life of components, reducing preventive maintenance costs by 45%. This data not only supports on-site fault diagnosis, but also optimizes equipment maintenance cycles through historical data analysis. For example, the filter replacement time can be predicted based on the water flow decline trend. Intelligent diagnosis based on data trends can automatically identify 12 common faults, reducing maintenance personnel's troubleshooting time by 80%.

[0058] The present invention has been described in detail above. However, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, any modifications or improvements that do not depart from the spirit of the present invention are within the scope of protection of the present invention.

Claims

1. An alarm system for a mobile phone coating cooling equipment, characterized in that: The alarm system includes: a data acquisition module, a main control processing module, an alarm execution module, and a human-machine interaction module; The data acquisition module includes: Temperature sensor, used to monitor the temperature of the coating cooling cavity in real time; A pressure sensor is used to detect the vacuum pressure in a cooling environment. Cooling water flow sensor: The cooling water flow sensor is used to monitor the real-time flow rate of the cooling water circulation pipeline; Water level sensor, used to detect the remaining water level in the cooling water tank; Vibration sensors are used to collect mechanical vibration data of equipment. The main control processing module is connected to the data acquisition module, and the main control processing module includes: The PLC processor is used to receive sensor data and perform alarm logic judgments. Data storage unit, used to record historical operational data; The communication module is used for remote data transmission. The alarm execution module includes: Audible and visual alarms are used to provide audible and visual alarm signals. Relay control unit, used to control the power supply to the equipment; Remote notification unit, used to send alarm information to designated terminals; The human-computer interaction module includes: The touchscreen user interface is used for parameter display and threshold setting. An alarm log system is used to store and retrieve alarm records.

2. The alarm system for a mobile phone coating cooling equipment according to claim 1, characterized in that: The cooling water flow sensor is a turbine flow meter, which is installed at the outlet end of the cooling water circulation pipeline.

3. The alarm system for a mobile phone coating cooling equipment according to claim 1, characterized in that: The water level sensor is an ultrasonic sensor, which is installed inside or on top of the cooling water tank.

4. The alarm system for a mobile phone coating cooling equipment according to claim 1, characterized in that: The alarm logic judgment of the main control processing module includes a dynamic threshold adjustment function, which automatically adjusts the alarm threshold according to the coating process stage.

5. The alarm system for a mobile phone coating cooling equipment according to claim 1, characterized in that: The communication module supports 4G, WiFi and Ethernet communication protocols.

6. An alarm method for an alarm system of a mobile phone coating cooling equipment, characterized in that: The alarm method, based on the mobile phone coating cooling equipment alarm system according to any one of claims 1-5, includes the following specific steps: S1. Real-time data acquisition: Comprehensive data acquisition is achieved through multiple types of sensors deployed at key monitoring points. Temperature sensors continuously monitor the real-time temperature changes of the coating cooling cavity to ensure process temperature stability; air pressure sensors synchronously detect the vacuum pressure status of the cooling environment to maintain process environment requirements; cooling water flow sensors accurately measure the water flow rate in the circulation pipeline to ensure cooling efficiency; water level sensors dynamically detect the remaining water in the water tank to prevent insufficient cooling medium; vibration sensors collect mechanical vibration signals during equipment operation for early mechanical fault identification. All sensor data are synchronously transmitted to the main control module at a frequency of ≥10Hz, providing a real-time data foundation for subsequent analysis. S2. Data Comparison and Anomaly Judgment: After receiving sensor data, the main control module immediately performs multi-dimensional safety threshold comparison. Temperature data is compared in real time with preset upper and lower limits (e.g., 10-50℃) to identify abnormal temperature fluctuations; cooling water flow data is compared with the minimum safe flow rate required by the process (e.g., 5L / min) to determine if there is pipe blockage or pump failure; water level data is compared sequentially with the warning water level line (20%) and the danger water level line (5%) to assess the risk of water shortage in stages; vibration data is compared with the equipment's safe operating amplitude standard to detect mechanical structural abnormalities. This step uses dynamic threshold technology to automatically adjust the judgment criteria according to different operating stages of the equipment. S3. Tiered alarm triggering: Based on the anomaly judgment result, the system activates an intelligent tiered response mechanism. When a slight deviation of a single parameter is detected (such as a temperature briefly exceeding the limit by ±5% or the water level dropping to the warning line), a first-level warning is triggered: the audible and visual alarm activates a slow yellow flashing warning, the touch screen displays the abnormal parameter simultaneously, the equipment continues to run but prompts maintenance personnel to intervene and check. When multiple parameters are abnormally combined (such as a sudden rise in temperature accompanied by a decrease in flow) or a single parameter is severely exceeded (such as the water level being below the danger line), a second-level emergency alarm is immediately activated: the audible and visual alarm switches to a fast red flashing mode, the relay cuts off the equipment power within 0.5 seconds, and at the same time, an emergency notification containing the specific fault location is sent to three preset maintenance personnel terminals via the 4G / WiFi module, realizing multi-level protection response. S4. Fault Diagnosis and Recording: After an alarm is triggered, the system automatically enters intelligent diagnosis mode. The main control module analyzes the trends of multi-sensor data within two minutes before and after the abnormal event. For example, when the temperature rise curve and the water flow decline curve are negatively correlated, it is automatically determined to be "cooling pipe blockage". If the water level continues to drop but the flow rate is normal, it is marked as "water level sensor calibration abnormality". The diagnostic conclusion and handling suggestions are displayed on the human-machine interface in real time. At the same time, a structured alarm log is generated, recording 12 key fields such as abnormality type, occurrence time, duration and handling status. This data not only supports on-site fault diagnosis, but also optimizes equipment maintenance cycle through historical data analysis, such as predicting filter replacement time based on the water flow decline trend.

7. The alarm system and alarm method for a mobile phone coating cooling equipment according to claim 6, characterized in that: In step S3, the first-level early warning also includes sending early warning information to maintenance personnel through the communication module, and the second-level emergency alarm also includes sending emergency alarm information to a designated terminal through the remote notification unit.

8. The alarm system and alarm method for a mobile phone coating cooling equipment according to claim 6, characterized in that: The S4 step also includes generating a maintenance recommendation report based on historical alarm data.

9. The alarm system and alarm method for a mobile phone coating cooling equipment according to claim 6, characterized in that: The preset threshold in step S2 is a dynamic threshold that can be automatically adjusted according to the operating status of the equipment.

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