Health degree assessment management system and method based on equipment state monitoring

Abstract

The invention discloses a health degree assessment management system and method based on equipment state monitoring, and relates to the technical field of industrial equipment monitoring and intelligent health assessment, and the system comprises a temperature rise data acquisition module which is used for obtaining real-time temperature rise data in an equipment operation process and comparing the real-time temperature rise data with a pre-stored standard temperature rise curve, and a data analysis module which is used for analyzing the real-time temperature rise data and comparing the real-time temperature rise data with the pre-stored standard temperature rise curve. The system comprises a temperature rise curve comparison module for analyzing the change trend of a temperature rise curve according to a comparison result and identifying abnormal temperature rise characteristics, an early warning adjustment module for dynamically adjusting an early warning threshold according to the identified abnormal temperature rise characteristics so as to early warn risks in advance, and an early warning trigger module for carrying out equipment real-time early warning based on the dynamically adjusted early warning threshold. According to the health degree assessment management system and method based on equipment state monitoring, the change trend of a temperature rise curve during equipment operation is dynamically identified so as to solve the problem of overheating early warning delay.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial equipment monitoring and intelligent health assessment, and in particular to a health assessment management system and method based on equipment status monitoring. Background Art

[0002] With the widespread application of modern industrial equipment in complex environments, the problem of equipment overheating is becoming increasingly serious, especially under high load and long-term operation. The temperature increase of equipment often becomes the main reason for performance degradation or even failure. Traditional equipment health monitoring systems generally use fixed temperature thresholds to issue warnings, but this method has delayed response and misjudgment. When the temperature of the equipment gradually increases and approaches the warning threshold, the monitoring system is usually unable to identify the changing trend of the temperature rise curve in time, resulting in the failure to trigger the overheating warning in time, thus affecting the safety and stability of the equipment.

[0003] Most of the existing monitoring methods rely on simple temperature acquisition, and do not consider the dynamic trend changes during the temperature rise process. This means that the monitoring system can only issue an early warning when the temperature reaches the set threshold, ignoring key information such as the rate of temperature change, fluctuation trend and historical data. The change of the temperature rise curve is not always linear or smooth. Some equipment may experience short-term temperature fluctuations or gradually rising trends, which are often difficult to capture in the threshold monitoring mechanism. Therefore, the simple threshold setting cannot cope with the dynamic changes of equipment in a complex environment, resulting in the system may not be able to detect the abnormal trend of temperature rise in time when the equipment is in a potential overheating state. The lack of trend prediction and analysis of the temperature rise change process makes the traditional system's early warning mechanism for equipment overheating have great limitations, and it is impossible to achieve early warning and accurate judgment of faults. To this end, it is necessary to introduce a more intelligent and dynamic trend analysis method, which comprehensively considers the rate of change of the temperature rise curve, historical data and operating conditions to achieve more accurate and real-time equipment health monitoring and fault prevention. Summary of the invention

[0004] The purpose of the present invention is to provide a health assessment management system and method based on equipment status monitoring, which dynamically identifies the change trend of the temperature rise curve during equipment operation to solve the problem of overheating warning delay.

[0005] To achieve the above object, the present invention provides the following technical solution: a health assessment management system based on equipment status monitoring, the system comprising: Temperature rise data acquisition module, used to obtain real-time temperature rise data during equipment operation and compare it with the pre-stored standard temperature rise curve; The data analysis module connected to the temperature rise data acquisition module is used to analyze the change trend of the temperature rise curve according to the comparison results and identify abnormal temperature rise characteristics, including Fourier transform of real-time temperature rise data, converting temperature rise fluctuations into frequency components, and analyzing periodic fluctuations. The specific formula is: ; in, Indicates the time at which the device The temperature fluctuation, Indicates the intensity of temperature rise change, represents the period of temperature rise fluctuation, Indicates the starting position of the fluctuation, Indicates time; The early warning adjustment module connected to the data analysis module is used to dynamically adjust the early warning threshold according to the identified abnormal temperature rise characteristics to warn of risks in advance, including determining the current operating load state of the equipment according to the temperature rise data of the equipment and calculating the current temperature rise risk value of the equipment. The specific formula is: ; in, Indicates the current temperature rise risk value of the equipment. Indicates time, Indicates the current operating load status of the device. represents the adjustment factor, Indicates time The temperature rise data, Indicates the warning threshold of temperature rise, represents the base of natural logarithm; The warning trigger module connected to the warning adjustment module is used to perform real-time warning of the equipment based on the warning threshold value after dynamic adjustment.

[0006] Preferably, the temperature rise data acquisition module obtains real-time temperature rise data during the operation of the equipment and compares it with the pre-stored standard temperature rise curve, including collecting real-time temperature rise data and calculating the temperature rise change trend. The specific formula is: ; in, Indicates the current temperature status of the device. Indicates time, Indicates the maximum temperature rise limit of the equipment under normal operating conditions. represents the base of natural logarithm, It represents the rate of temperature rise. Indicates the turning point of the temperature rise curve; The calculated results are compared with the standard temperature rise curve and passed to the data analysis module.

[0007] Preferably, the early warning trigger module performs real-time early warning of the equipment based on the dynamically adjusted early warning threshold, including calculating the early warning response value of the current equipment according to the temperature rise of the equipment, and the specific formula is: ; in, Indicates the warning response value of the current device. Indicates time, Indicates the sensitivity of the device to temperature rise changes. Indicates time The temperature rise data, Indicates the temperature rise threshold that triggers the overheat warning.

[0008] Preferably, the warning trigger module issues an equipment overheating warning and takes protective measures when the temperature rise of the equipment exceeds a warning threshold of the temperature rise.

[0009] Preferably, the early warning adjustment module dynamically adjusts the early warning threshold according to the identified abnormal temperature rise characteristics to provide early warning of risks. Protective measures include automatically adjusting equipment workload, shutting down equipment, or starting a cooling system.

[0010] Preferably, the temperature rise data acquisition module includes: The temperature sensor is used to monitor the temperature rise of the equipment in real time and transmit the collected temperature rise data to the data analysis module; The data transmission interface is used to transmit the temperature rise data from the temperature sensor to the data analysis module and ensure the real-time and accuracy of the data.

[0011] Preferably, the data analysis module further includes: The periodic temperature rise change detection unit is used to identify the periodic fluctuation of temperature rise based on the collected temperature rise data and analyze the trend of the temperature rise change of the equipment; The abnormality detection unit is used to identify abnormal temperature rise during the operation of the equipment and determine whether it exceeds a predetermined warning threshold.

[0012] Preferably, the temperature rise data acquisition module acquires real-time temperature rise data during the operation of the equipment and compares the temperature rise change rate with the pre-stored standard temperature rise curve. The calculation formula is: ; in, It represents the rate of temperature rise. Indicates the change in temperature rise of the equipment. Indicates the time interval during which temperature rise occurs.

[0013] Preferably, the warning trigger module performs warning operations in the real-time warning of the equipment based on the dynamically adjusted warning threshold, including sending multiple alarm signals through graphics, sound and real-time notification on the mobile phone.

[0014] The health evaluation management method based on equipment status monitoring adopts the health evaluation management system based on equipment status monitoring, and the method includes: S1. Obtain real-time temperature rise data during equipment operation and compare it with the pre-stored standard temperature rise curve; S2. Analyze the changing trend of the temperature rise curve according to the comparison results and identify the abnormal temperature rise characteristics; S3. Dynamically adjust the warning threshold based on the identified abnormal temperature rise characteristics to provide early warning of overheating risks; S4. Provide real-time warning of equipment overheating based on the dynamically adjusted warning threshold.

[0015] It can be seen from the above technical solution that the present invention has the following beneficial effects: The health assessment management system and method based on equipment status monitoring obtains real-time temperature rise data during equipment operation through a temperature rise data acquisition module and compares it with a pre-stored standard temperature rise curve. The data analysis module analyzes the change trend of the temperature rise curve according to the comparison result and identifies abnormal temperature rise characteristics. The early warning adjustment module dynamically adjusts the early warning threshold according to the identified abnormal temperature rise characteristics to warn of risks in advance. The early warning trigger module performs real-time equipment early warning based on the dynamically adjusted early warning threshold, which can effectively identify the change pattern of the temperature rise curve, avoid the limitation of traditional systems that only rely on static temperature thresholds, timely discover potential overheating risks, and avoid delayed response to overheating warnings. It can provide more accurate fault warnings, more accurately predict the changing trend of equipment temperature, identify potential fault risks in advance, enhance the accuracy and reliability of equipment health assessment, adaptively handle the nonlinear changes of equipment temperature rise in complex environments, and dynamically adjust the monitoring strategy according to the equipment's workload and environmental conditions to ensure efficient temperature rise monitoring and early warning under various working conditions. It can effectively reduce the risk of failure caused by equipment overheating, extend the service life of equipment, reduce maintenance costs, improve the operating stability and safety of equipment, and dynamically identify the changing trend of the temperature rise curve during equipment operation to solve the problem of delayed overheating warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a connection diagram of the system modules of the present invention; Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] like Figure 1 As shown, the present invention provides a technical solution: a health assessment management system based on equipment status monitoring, the system comprising: Temperature rise data acquisition module, used to obtain real-time temperature rise data during equipment operation and compare it with the pre-stored standard temperature rise curve; The data analysis module connected to the temperature rise data acquisition module is used to analyze the change trend of the temperature rise curve according to the comparison results and identify abnormal temperature rise characteristics, including Fourier transform of real-time temperature rise data, converting temperature rise fluctuations into frequency components, and analyzing periodic fluctuations. The specific formula is: ; in, Indicates the time at which the device The temperature fluctuation, Indicates the intensity of temperature rise change, represents the period of temperature rise fluctuation, Indicates the starting position of the fluctuation, Indicates time; The early warning adjustment module connected to the data analysis module is used to dynamically adjust the early warning threshold according to the identified abnormal temperature rise characteristics to warn of risks in advance, including determining the current operating load state of the equipment according to the temperature rise data of the equipment and calculating the current temperature rise risk value of the equipment. The specific formula is: ; in, Indicates the current temperature rise risk value of the equipment. Indicates time, Indicates the current operating load status of the device. represents the adjustment factor, Indicates time The temperature rise data, Indicates the warning threshold of temperature rise, represents the base of natural logarithm; The warning trigger module connected to the warning adjustment module is used to perform real-time warning of the equipment based on the warning threshold value after dynamic adjustment.

[0019] The core principle of this technical solution is based on the monitoring and analysis of real-time temperature rise data during the operation of the equipment. By collecting the temperature rise information of the equipment and comparing it with the standard temperature rise curve, it is determined whether the equipment has an abnormal temperature rise problem. When the equipment generates temperature rise fluctuations during operation, the system will analyze the frequency and amplitude of these temperature rise fluctuations in real time, and use the data analysis module to identify possible abnormal temperature rise characteristics. Based on these abnormal characteristics, the system can perform frequency analysis and predict the future temperature rise trend of the equipment, and determine in advance whether there is an overheating risk. Through real-time early warning and dynamic adjustment, the system can make corresponding adjustment measures according to the load condition and temperature rise prediction of the equipment to ensure that the equipment operates within a safe temperature range and avoid equipment failure or shutdown caused by overheating. This technical solution can significantly improve the safety and reliability of the equipment. Through real-time temperature rise monitoring and predictive adjustment, it can identify and prevent abnormal temperature rise phenomena in advance, reduce failures and shutdowns caused by equipment overheating, and thus improve the service life and stability of the equipment. Through accurate temperature rise risk prediction, the system can respond in the early stage of equipment operation to avoid damage and improve the operation efficiency of the equipment. In addition, through continuous monitoring and early warning, the maintenance cost of the equipment can be effectively reduced, because timely early warning and adjustment avoid the occurrence of failures and reduce the need for repairs and replacement of parts. In general, the present invention not only enhances the safety of the equipment, but also optimizes the management and maintenance process of the equipment, and improves the operating efficiency and economy of the entire system.

[0020] The temperature rise data acquisition module obtains the real-time temperature rise data during the operation of the equipment and compares it with the pre-stored standard temperature rise curve, including collecting real-time temperature rise data and calculating the temperature rise change trend. The specific formula is: ; in, Indicates the current temperature status of the device. Indicates time, Indicates the maximum temperature rise limit of the equipment under normal operating conditions. represents the base of natural logarithm, It represents the rate of temperature rise. Indicates the turning point of the temperature rise curve; The calculated results are compared with the standard temperature rise curve and passed to the data analysis module.

[0021] The temperature rise data acquisition module acquires the temperature rise data of the equipment in real time during operation, and compares and analyzes the collected data with the pre-stored standard temperature rise curve. Through this comparison, the system can evaluate the current temperature rise state of the equipment and calculate the trend of temperature rise change. The system generates a temperature rise change trend curve based on the current temperature rise change of the equipment. Specifically, the system evaluates whether the equipment has abnormal temperature rise according to the difference between the temperature rise data and the standard temperature rise curve, combined with the rate of temperature rise change. After that, the system will pass the calculation results to the data analysis module to further analyze whether the equipment needs to be adjusted to avoid damage to the equipment due to abnormal temperature rise. Through this technical solution, the system can monitor the temperature rise data of the equipment in real time, identify temperature rise abnormalities in advance, and prevent the equipment from overheating or damage through the adjustment mechanism. Real-time comparison of the equipment temperature rise data with the standard curve can ensure that the equipment is always in a safe operating state and avoid failures or production interruptions caused by excessive temperature rise. The accurate analysis and trend prediction of temperature rise data not only improves the reliability and safety of equipment operation, but also effectively extends the service life of the equipment and reduces maintenance and replacement costs. The system's intelligent adjustment function also optimizes the operating efficiency of the equipment, reduces energy consumption and improves production efficiency.

[0022] The early warning trigger module performs real-time early warning of the equipment based on the dynamically adjusted early warning threshold, including calculating the early warning response value of the current equipment according to the temperature rise of the equipment. The specific formula is: ; in, Indicates the warning response value of the current device. Indicates time, Indicates the sensitivity of the device to temperature rise changes. Indicates time The temperature rise data, Indicates the temperature rise threshold that triggers the overheat warning.

[0023] The system obtains the temperature rise data of the equipment in real time through the equipment status monitoring module and the temperature rise data acquisition module, and compares it with the preset temperature rise threshold. is dynamically recorded and compared with a predefined temperature rise threshold The early warning trigger module calculates the early warning response value of the device based on these data. Specifically, the early warning response value is calculated by the formula Calculate the sensitivity of the temperature rise change Determines the speed and intensity of the equipment's response to temperature fluctuations. The system evaluates in real time whether the current temperature rise exceeds the set temperature rise threshold. , and trigger the early warning mechanism according to the size of the early warning response value. When the response value exceeds the set threshold, the system will start the early warning, prompting that the equipment may enter an overheating state, and then take corresponding adjustment measures to ensure the safe operation of the equipment. Through this technical solution, accurate monitoring and dynamic adjustment of the temperature rise of the equipment can be achieved. When the temperature rise of the equipment approaches or exceeds the preset threshold, the system can respond quickly and issue an early warning to avoid equipment failure or damage caused by overheating. The calculation of the early warning response value provides a flexible way to evaluate the impact of temperature rise on the equipment, and adjust the response strength of the early warning according to the sensitivity of the temperature rise change of the equipment, thereby improving the accuracy and timeliness of the early warning. In addition, this system can issue an early warning when the temperature rise of the equipment is about to exceed the safe range, providing sufficient reaction time for equipment managers, effectively extending the service life of the equipment and reducing production stagnation and maintenance costs caused by overheating.

[0024] When the temperature rise of the equipment exceeds the temperature rise warning threshold, the early warning trigger module issues an equipment overheating warning and takes protective measures. The early warning trigger module of the system monitors the temperature rise data of the equipment in real time and compares it with the preset temperature rise warning threshold. When the temperature rise data of the equipment exceeds the set threshold, the early warning trigger module immediately issues an overheating warning signal. In order to avoid damage to the equipment due to overheating, the system will start corresponding protective measures according to the temperature rise data and the operating status of the equipment. The protective measures may include but are not limited to: reducing the load of the equipment, improving the heat dissipation efficiency, or reducing the working speed of the equipment. By comparing the temperature rise data and the early warning threshold in real time, the system can respond quickly and take protective measures in time to prevent the equipment from malfunctioning or being damaged due to overheating. Through the implementation of the present invention, the equipment can quickly issue an early warning and take protective measures when the temperature rise is abnormal, avoiding damage to the equipment or production stagnation caused by overheating. The system can significantly improve the safety and reliability of the equipment and extend the service life of the equipment. In addition, the rapid response and protection mechanism of the system effectively reduce the maintenance cost and downtime loss caused by equipment failure. The health management of the equipment is more intelligent, optimizes the operation efficiency, reduces energy consumption, and further improves the production efficiency and economic benefits.

[0025] The early warning adjustment module dynamically adjusts the early warning threshold based on the identified abnormal temperature rise characteristics to provide early warning of risks. The protective measures include automatically adjusting the equipment workload, shutting down the equipment, or starting the cooling system. The early warning adjustment module of the system monitors the temperature rise data of the equipment in real time and identifies the abnormal characteristics therein, and dynamically adjusts the early warning threshold of the temperature rise based on the historical data, trend changes and current working status of the equipment temperature rise. By identifying and predicting the abnormal temperature rise pattern, the system can perceive the trend of excessive temperature rise in advance, respond before the equipment temperature rise approaches the preset threshold, and adjust the early warning threshold so that the system can react earlier. Specific protective measures include automatically adjusting the equipment workload (for example, reducing the load to reduce power consumption and temperature rise), shutting down the equipment (protective shutdown when the temperature rise cannot be adjusted), or starting the cooling system (such as air cooling or liquid cooling system) to accelerate the cooling of the equipment, thereby ensuring that the equipment always remains within a safe temperature range. The implementation of this technical solution enables the system to identify the trend of abnormal equipment temperature rise in advance, and achieve early warning by dynamically adjusting the early warning threshold, avoiding failures caused by equipment overheating. By accurately identifying abnormal temperature rise characteristics and automatically adjusting the warning threshold according to the equipment operating status, the system can more effectively predict equipment overheating problems, greatly improving the safety and reliability of the equipment. In addition, protective measures such as automatically adjusting workloads, shutting down equipment, or starting cooling systems can significantly reduce equipment damage caused by excessive temperature rise, extend equipment life, reduce losses caused by downtime due to faults, and optimize overall equipment maintenance costs.

[0026] The temperature rise data acquisition module includes: The temperature sensor is used to monitor the temperature rise of the equipment in real time and transmit the collected temperature rise data to the data analysis module; The data transmission interface is used to transmit the temperature rise data from the temperature sensor to the data analysis module and ensure the real-time and accuracy of the data.

[0027] The system monitors the temperature rise of the equipment through the temperature rise data acquisition module. The temperature sensor is responsible for collecting the temperature rise data of the equipment in real time. The sensor can select an appropriate type according to the characteristics of the equipment, such as a thermocouple, an infrared sensor or a surface temperature sensor. These temperature sensors monitor the temperature changes during the operation of the equipment in real time and transmit the collected data to the data analysis module through the data transmission interface. The data transmission interface adopts an efficient data transmission protocol (such as wireless transmission, optical fiber, or serial communication) to ensure the real-time and accuracy of the temperature rise data, so that the data analysis module can timely perform temperature rise trend analysis based on these data. By continuously collecting and analyzing the temperature rise data, the system can immediately respond, adjust or alarm when the temperature rise of the equipment exceeds the normal range. The present invention realizes real-time monitoring and data acquisition of the temperature rise of the equipment through a high-precision temperature sensor and an efficient data transmission interface, ensuring the accuracy and real-time nature of the temperature rise data. The system can accurately track the temperature changes of the equipment, detect temperature rise anomalies in time, and avoid equipment failure or damage caused by overheating. Through efficient data transmission, the system can quickly transmit real-time temperature rise data, so that the data analysis module can perform temperature rise trend analysis and early warning more timely. At the same time, the real-time and accuracy of the system can optimize equipment operation, improve equipment safety and reliability, reduce downtime and extend equipment service life.

[0028] The data analysis module also includes: The periodic temperature rise change detection unit is used to identify the periodic fluctuation of temperature rise based on the collected temperature rise data and analyze the trend of the temperature rise change of the equipment; The abnormality detection unit is used to identify abnormal temperature rise during the operation of the equipment and determine whether it exceeds a predetermined warning threshold.

[0029] The data analysis module of the system processes and analyzes the temperature rise data through two main units. First, the periodic temperature rise change detection unit is responsible for analyzing the periodic fluctuations of the temperature rise data, and extracting the periodic components in the temperature rise data through Fourier transform or other signal processing algorithms. By identifying the periodic changes in temperature rise, the system can predict the temperature rise fluctuation trend of the equipment under different working conditions and detect possible abnormal temperature rise trends in advance. Next, the abnormality detection unit analyzes whether there are abnormal conditions in the equipment temperature rise data, such as too fast temperature rise rate or abnormal temperature fluctuation. The unit compares with the set warning threshold to determine whether the temperature rise of the current equipment has exceeded the safety range. If the temperature rise exceeds the warning threshold, the system will issue an alarm and initiate corresponding protection measures, such as adjusting the workload or enabling the cooling system. This technical solution can accurately identify the normal and abnormal fluctuations of the equipment temperature rise through the combination of periodic temperature rise change detection and abnormality detection, and provide a more accurate temperature rise warning. The periodic temperature rise change detection unit can identify the temperature rise fluctuation trend of the equipment in normal operation, while the abnormality detection unit can promptly detect the sudden change of temperature rise or the situation beyond the normal range. This precise analysis can prevent equipment from being damaged due to overheating and ensure that the equipment operates stably within a safe temperature range. At the same time, by combining abnormal detection with the determination of warning thresholds, the system can issue a warning before abnormal temperature rise occurs, providing sufficient reaction time for adjustment, reducing equipment failure rate and downtime, and improving equipment life and operating efficiency.

[0030] The temperature rise data acquisition module obtains real-time temperature rise data during the operation of the equipment and compares the temperature rise change rate with the pre-stored standard temperature rise curve. The calculation formula is: ; in, It represents the rate of temperature rise. Indicates the change in temperature rise of the equipment. Indicates the time interval during which temperature rise occurs.

[0031] The system monitors the temperature rise data of the equipment in real time through the temperature rise data acquisition module. During the operation of the equipment, the temperature sensor collects the real-time temperature rise information of the equipment, and the temperature rise data is transmitted to the data analysis module through the data transmission interface. The data analysis module first compares the collected real-time temperature rise data with the pre-stored standard temperature rise curve to calculate the rate of temperature rise change. The rate calculation formula is: , It represents the rate of temperature rise. Indicates the change in temperature rise of the equipment. Represents the time interval at which the temperature rise changes. Through this formula, the system can calculate the rate of change of temperature rise in real time, and then analyze the current temperature rise trend of the equipment. If the temperature rise rate is too fast, the system can use the early warning mechanism to remind the equipment of the risk of overheating, or protect it by adjusting the equipment load, starting the cooling system, and other measures to avoid equipment damage. By calculating the rate of temperature rise change in real time, this technical solution can more accurately monitor the temperature rise dynamics of the equipment and promptly discover the risk of excessive temperature rise. By comparing with the standard temperature rise curve, the system can quickly identify the abnormal change trend of the equipment temperature rise and provide data support for timely protection measures. The real-time calculation of the temperature rise rate makes the operation of the equipment more intelligent, and can adjust the working state of the equipment or start the protection mechanism according to the size of the temperature rise change rate to avoid overheating and damage to the equipment. This method helps to improve the safety and reliability of the equipment, extend the service life of the equipment, and reduce failures and downtime caused by overheating.

[0032] The early warning trigger module performs the early warning operation of the equipment in real-time early warning based on the dynamically adjusted early warning threshold, including issuing multiple alarm signals through graphics, sound and real-time notification on the mobile phone. The early warning trigger module of the system monitors the temperature rise data in real time during the operation of the equipment and compares it with the early warning threshold after dynamic adjustment. When the temperature rise data of the equipment exceeds the preset early warning threshold, the system triggers multiple early warning operations. First, the system displays the warning of abnormal temperature rise through a graphical interface (such as a dashboard or equipment status icon) to intuitively present the health status of the equipment. Secondly, the system will issue a warning through a sound signal (such as a buzzer or voice prompt) to ensure that the equipment manager can know the abnormal temperature rise immediately. Finally, the system also pushes the early warning information to the user's mobile phone or mobile device through the real-time notification function on the mobile phone, ensuring that the user can receive the equipment early warning signal in time at a remote location. The issuance of multiple early warning signals ensures that the abnormal temperature rise of the equipment is responded to in time and appropriate adjustment or protection measures are taken. This technical solution provides a more comprehensive and efficient early warning mechanism through the combination of multiple alarm signals such as graphics, sound and mobile phone notifications. The graphical interface alarm can intuitively display the health status of the equipment, the sound signal can ensure timely response in a noisy environment, and the real-time notification function on the mobile phone allows equipment managers to immediately understand the temperature rise of the equipment and respond even if they are far away from the site. This multiple early warning method improves the accuracy and timeliness of equipment failure warnings and reduces equipment failures and downtime caused by abnormal temperature rise. In addition, the system's multiple early warning mechanism greatly improves the convenience and safety of equipment management, helping managers to quickly respond to temperature rise problems in different situations and avoid equipment damage caused by ignoring early warning signals.

[0033] like Figure 2As shown, a health assessment management method based on equipment status monitoring is also provided. The health assessment management system based on equipment status monitoring is adopted. The method includes: S1. Obtain real-time temperature rise data during equipment operation and compare it with the pre-stored standard temperature rise curve; S2. Analyze the changing trend of the temperature rise curve according to the comparison results and identify abnormal temperature rise characteristics; S3. Dynamically adjust the warning threshold based on the identified abnormal temperature rise characteristics to provide early warning of overheating risks; S4. Provide real-time warning of equipment overheating based on the dynamically adjusted warning threshold.

[0034] The method uses four steps to achieve equipment health assessment and overheating risk warning. First, in step S1, the system obtains the temperature rise data of the equipment in real time through the temperature rise data acquisition module, and compares the collected data with the pre-stored standard temperature rise curve. This comparison process can detect the difference between the current temperature rise of the equipment and the standard temperature rise. Then, in step S2, the data analysis module analyzes the change trend of the temperature rise curve and determines whether the equipment has the risk of overheating by identifying abnormal characteristics of temperature rise (such as too fast temperature rise rate, abnormal temperature rise amplitude, etc.). According to these analysis results, step S3 will trigger the early warning adjustment module, dynamically adjust the early warning threshold according to the identified abnormal temperature rise characteristics, and warn of possible overheating problems of the equipment in advance. Finally, in step S4, the system monitors the temperature rise of the equipment in real time through the adjusted early warning threshold. If the temperature rise of the equipment exceeds the newly adjusted threshold, the system immediately issues an overheating warning and starts protection measures to avoid equipment damage. The method effectively identifies and warns the overheating risk of the equipment through precise temperature rise monitoring and data analysis. By comparing with the standard temperature rise curve, the system can monitor the temperature rise dynamics of the equipment in real time and detect abnormal temperature rise characteristics in time. The function of dynamically adjusting the warning threshold enables the system to adaptively adjust the warning standard under different working conditions, improving the accuracy and timeliness of the warning. Early identification of overheating risks and early warning can avoid equipment failures caused by excessive temperature rise, thereby improving equipment reliability and safety, extending the service life of equipment, and reducing downtime and maintenance costs in production. In addition, the early warning mechanism based on dynamic adjustment improves the intelligent level of equipment management and ensures that the equipment operates within a safe temperature range.

[0035] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A health assessment management system based on equipment status monitoring, characterized in that: The system comprises: Temperature rise data acquisition module, used to obtain real-time temperature rise data during equipment operation and compare it with the pre-stored standard temperature rise curve; The data analysis module connected to the temperature rise data acquisition module is used to analyze the change trend of the temperature rise curve according to the comparison results and identify the abnormal temperature rise characteristics, including Fourier transform of real-time temperature rise data, converting temperature rise fluctuations into frequency components, and analyzing periodic fluctuations. The specific formula is: ； in, Indicates the time at which the device The temperature fluctuation, Indicates the intensity of temperature rise change, represents the period of temperature rise fluctuation, Indicates the starting position of the fluctuation, Indicates time; The early warning adjustment module connected to the data analysis module is used to dynamically adjust the early warning threshold according to the identified abnormal temperature rise characteristics to warn of risks in advance, including determining the current operating load state of the equipment according to the temperature rise data of the equipment and calculating the current temperature rise risk value of the equipment. The specific formula is: ； in, Indicates the current temperature rise risk value of the equipment. Indicates time, Indicates the current operating load status of the device. represents the adjustment factor, Indicates time The temperature rise data, Indicates the warning threshold of temperature rise, represents the base of natural logarithm; The warning trigger module connected to the warning adjustment module is used to perform real-time warning of the equipment based on the warning threshold value after dynamic adjustment.

2. The health assessment management system based on equipment status monitoring according to claim 1 is characterized in that: The temperature rise data acquisition module obtains real-time temperature rise data during the operation of the equipment and compares it with the pre-stored standard temperature rise curve, including collecting real-time temperature rise data and calculating the temperature rise change trend. The specific formula is: ； in, Indicates the current temperature status of the device. Indicates time, Indicates the maximum temperature rise limit of the equipment under normal operating conditions. represents the base of natural logarithm, It represents the rate of temperature rise. Indicates the turning point of the temperature rise curve; The calculated results are compared with the standard temperature rise curve and passed to the data analysis module.

3. The health assessment management system based on equipment status monitoring according to claim 1 is characterized in that: The early warning trigger module performs real-time early warning of the equipment based on the dynamically adjusted early warning threshold, including calculating the early warning response value of the current equipment according to the temperature rise of the equipment. The specific formula is: ； in, Indicates the warning response value of the current device. Indicates time, Indicates the sensitivity of the device to temperature rise changes. Indicates time The temperature rise data, Indicates the temperature rise threshold that triggers the overheat warning.

4. The health assessment management system based on equipment status monitoring according to claim 1 is characterized in that: When the temperature rise of the equipment exceeds the warning threshold of the temperature rise, the warning trigger module issues an equipment overheating warning and takes protective measures.

5. The health assessment management system based on equipment status monitoring according to claim 4 is characterized in that: The early warning adjustment module dynamically adjusts the early warning threshold according to the identified abnormal temperature rise characteristics to provide early warning of risks. Protective measures include automatically adjusting equipment workload, shutting down equipment, or starting a cooling system.

6. The health assessment management system based on equipment status monitoring according to claim 1 is characterized in that: The temperature rise data acquisition module comprises: The temperature sensor is used to monitor the temperature rise of the equipment in real time and transmit the collected temperature rise data to the data analysis module; The data transmission interface is used to transmit the temperature rise data from the temperature sensor to the data analysis module and ensure the real-time and accuracy of the data.

7. The health assessment management system based on equipment status monitoring according to claim 1 is characterized in that: The data analysis module also includes: The periodic temperature rise change detection unit is used to identify the periodic fluctuation of temperature rise based on the collected temperature rise data and analyze the trend of the temperature rise change of the equipment; The abnormality detection unit is used to identify abnormal temperature rise during the operation of the equipment and determine whether it exceeds a predetermined warning threshold.

8. The health assessment management system based on equipment status monitoring according to claim 2 is characterized in that: The temperature rise data acquisition module obtains real-time temperature rise data during the operation of the equipment and compares the temperature rise change rate with the pre-stored standard temperature rise curve. The calculation formula is: ； in, It represents the rate of temperature rise. Indicates the change in temperature rise of the equipment. Indicates the time interval during which temperature rise occurs.

9. The health assessment management system based on equipment status monitoring according to claim 1 is characterized in that: The warning trigger module performs warning operations in the real-time warning of the equipment based on the dynamically adjusted warning threshold, including sending multiple alarm signals through graphics, sound and real-time notification on the mobile phone.

10. A health assessment management method based on equipment status monitoring, using the health assessment management system based on equipment status monitoring according to any one of claims 1 to 9, characterized in that: The method comprises: S1. Obtain real-time temperature rise data during equipment operation and compare it with the pre-stored standard temperature rise curve; S2. Analyze the changing trend of the temperature rise curve according to the comparison results and identify the abnormal temperature rise characteristics; S3. Based on the identified abnormal temperature rise characteristics, dynamically adjust the warning threshold to provide early warning of overheating risks; S4. Provide real-time warning of equipment overheating based on the dynamically adjusted warning threshold.

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