IOT (Internet of Things) monitoring system based on 5G

Abstract

The invention discloses an Internet of Things monitoring system based on 5G, and relates to the field of intelligent monitoring. Comprising a server, the server is connected with an information data acquisition module, an information data processing module, an information data analysis module and an alarm module, and the information data acquisition module is in communication connection with a monitoring system through the 5G Internet of Things; the information data acquisition module is used for acquiring information data of factory equipment, and the information data processing module is used for processing the information data of the factory equipment to obtain a fault frequency value and a fault degree value of the factory equipment. The information data analysis module is used for performing fault analysis on the factory equipment according to the fault frequency value and the fault degree value and generating a corresponding alarm signal, and the alarm module is used for detecting and maintaining the factory equipment according to the alarm signal.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring, and specifically to an Internet of Things monitoring system based on 5G. Background Art

[0002] Internet of Things monitoring is a comprehensive system with strong prevention capabilities, mainly composed of three parts: front-end acquisition device information data, transmission network, and monitoring operation platform, to realize applications in related aspects such as the monitoring field. Factory equipment refers to the equipment provided for workers to operate during the production process in a factory, such as blast furnaces, machine tools, reactors, printing machines, etc.

[0003] The operating status, quality, and technological advancement of factory equipment directly affect the quality, precision, output, and production efficiency of products. During the actual production process, when factory equipment fails and the operating status is abnormal, it will lead to a decrease in production efficiency. However, a small decrease in production efficiency will not attract attention. During long-term use of factory equipment, failures will occur multiple times, and it is impossible to determine the failure frequency of specific factory equipment, and it is impossible to make corresponding treatments for factory equipment targeted. This will lead to a significant reduction in the production volume of factory equipment over time, resulting in waste of manpower and material resources after multiple repairs of the same factory equipment. Moreover, when problems occur with factory equipment, relevant staff cannot be arranged for maintenance in a timely manner, which will cause the faulty factory equipment in urgent need of repair to overly affect production efficiency due to untimely repair. Therefore, an Internet of Things monitoring system based on 5G is provided. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide an Internet of Things monitoring system based on 5G;

[0005] The purpose of the present invention can be achieved through the following technical solutions: An Internet of Things monitoring system based on 5G includes a server, and the server is connected to an information data acquisition module, an information data processing module, an information data analysis module, and an alarm module. The information data acquisition module is communicatively connected to the monitoring system through a 5G Internet of Things;

[0006] The information data acquisition module is used to acquire the information data of factory equipment;

[0007] The information data processing module is used to process the information data of factory equipment to obtain the failure frequency value and failure degree value of factory equipment;

[0008] The information data analysis module is used to perform failure analysis on factory equipment based on the failure frequency value and failure degree value, and generate corresponding alarm signals according to the analysis results;

[0009] The alarm module is used to detect and repair factory equipment according to the alarm signal.

[0010] Furthermore, the process of the information data acquisition module acquiring the information data of factory equipment includes:

[0011] Install corresponding temperature sensors and digital multimeters on several factory equipment to obtain the equipment temperature and equipment AC power frequency of the corresponding factory equipment;

[0012] Obtain the equipment rotation speed based on the equipment AC power frequency;

[0013] Mark the obtained equipment AC power frequencies and equipment temperatures of several factory equipment, mark several equipment AC power frequencies as f1, f2... f i , and mark several equipment temperatures as T1, T2... T i , where i is a positive integer, and mark several equipment rotation speeds obtained based on the equipment AC power frequency as N1, N2... N i , where N1 and T1 are the equipment rotation speed and equipment temperature obtained for the same equipment and at the same time, N i and T i are obtained simultaneously in one-to-one correspondence;

[0014] Set the acquisition period, and set several acquisition time points within the acquisition period. At time point t i simultaneously obtain the equipment AC power frequency f i and the equipment temperature T i ;

[0015] Send the obtained equipment AC power frequency f i and the equipment temperature T i to the information data processing module.

[0016] Furthermore, the process of the information data processing module processing the information data of factory equipment to obtain the fault degree value includes:

[0017] Obtain the equipment rotation speed N based on the received equipment AC power frequency i , that is, the formula is:

[0018]

[0019] Among them, 60 represents per minute, the unit is second; f represents the equipment AC power frequency, the unit is hertz; p represents the number of pole pairs of the rotating magnetic field of the motor in the equipment;

[0020] Set the equipment rotation speed threshold range [a, b] of the factory equipment, then the average value of the equipment rotation speed threshold is

[0021]

[0022] Calculate the difference between the rotational speed of the faulty device and the average value of the device rotational speed threshold to obtain the rotational speed difference of the faulty device, denoted as N k , where k = 1, 2,......, k, and set the corresponding fault coefficient R k , where the rotational speed difference N of the faulty device is obtained k The formula is:

[0023]

[0024] According to the rotational speed difference of the faulty device and the corresponding fault coefficient, use the weighted average algorithm to obtain the fault degree value L, that is, the formula is:

[0025]

[0026] Compare the obtained device rotational speed with the threshold range;

[0027] If the device temperature is not within the temperature threshold range, it means that the ambient temperature of the device is abnormal, and the ambient temperature of the device needs to be adjusted, and a temperature alarm signal is generated and sent to the alarm module.

[0028] Furthermore, the process of obtaining the fault frequency value includes:

[0029] Calculate the time difference between the acquisition time points corresponding to the rotational speeds of two adjacent faulty devices of the same factory equipment to obtain the fault time difference;

[0030] Sum up all the fault time differences to obtain the average value of the fault time difference of the factory equipment, denoted as T w , and obtain the number of faults of the factory equipment in the number of acquisitions, denoted as C r , where r = 1, 2,......, r;

[0031] Normalize the fault degree value, the average value of the fault time difference, and the number of faults to obtain the fault frequency value M, that is, the formula is:

[0032]

[0033] Among them, a1, a2, and a3 are preset proportional coefficients.

[0034] Furthermore, set the temperature threshold range of the factory equipment, and compare the obtained device temperature with the temperature threshold range:

[0035] If the device temperature exceeds the temperature threshold range, it means that the ambient temperature is abnormal, and the ambient temperature of the factory equipment needs to be adjusted, and a temperature alarm signal is generated and sent to the alarm module.

[0036] Further, the process of the information data analysis module performing fault analysis on factory equipment according to the fault frequency value and the fault degree value includes:

[0037] Set a fault degree threshold and a fault frequency threshold, and compare the obtained fault degree value and fault frequency value of the factory equipment with the fault degree threshold and the fault frequency threshold respectively:

[0038] When the fault degree value of the factory equipment is less than the fault degree threshold, it is necessary to compare the fault frequency value of the factory equipment with the fault frequency threshold;

[0039] If the fault frequency value of the factory equipment is less than the fault frequency threshold, the fault degree value of the factory equipment is normal, the fault frequency value is normal, and the factory equipment operates normally;

[0040] If the fault frequency value of the factory equipment is greater than the fault frequency threshold, the fault degree value of the factory equipment is normal, the fault frequency value is abnormal, the factory equipment cannot operate normally, and a frequency alarm signal is generated;

[0041] When the fault degree value of the factory equipment is greater than the fault degree threshold, it is necessary to compare the fault frequency value of the factory equipment with the fault frequency threshold;

[0042] If the fault frequency value of the factory equipment is less than the fault frequency threshold, the fault frequency value of the factory equipment is normal, the fault degree value is abnormal, the factory equipment cannot operate normally, and a degree alarm signal is generated;

[0043] If the fault frequency value of the factory equipment is greater than the fault frequency threshold, the fault frequency value of the factory equipment is abnormal, the fault degree value is abnormal, the factory equipment cannot operate normally, and a degree - frequency alarm signal is generated.

[0044] Further, when a temperature alarm signal is received, relevant staff are notified that the ambient temperature of the factory equipment is abnormal and the ambient temperature of the factory equipment needs to be adjusted.

[0045] Further, the process of the alarm module detecting and repairing factory equipment according to the alarm signal includes:

[0046] When a frequency alarm signal is received, relevant staff are notified that the fault frequency of the factory equipment is higher than the frequency threshold, indicating that the specific problems of the factory equipment need to be detected or new equipment needs to be replaced;

[0047] When a degree alarm signal is received, relevant staff are notified that the fault degree of the factory equipment is higher than the degree threshold, indicating that the factory equipment needs to be repaired in advance to ensure normal operation;

[0048] When a degree-frequency alarm signal is received, relevant staff will be notified that both the fault degree and fault frequency of the factory equipment are higher than the corresponding thresholds, indicating that the factory equipment needs to be replaced;

[0049] The equipment rotation speed of the factory equipment affects the working efficiency of the equipment. Using the equipment rotation speed to judge whether the factory equipment can operate normally can not only quickly judge the working state of the factory equipment, but also give priority to dealing with the factory equipment with a large fault degree according to the fault degree value, which can not only save time but also perform maintenance more accurately. Using the fault frequency value to judge whether the factory equipment often fails. If so, new equipment needs to be replaced, which better saves the waste of manpower and material resources for multiple repairs;

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows: The information data acquisition module collects the information data of the factory equipment and sends the information data of the factory equipment to the information data processing module. The information data processing unit processes the information data of the factory equipment and obtains the fault frequency value and fault degree value of the factory equipment. The information data analysis module performs fault analysis on the factory equipment according to the fault frequency value and fault degree value and generates corresponding alarm signals, and sends the corresponding alarm signals to the alarm module. The alarm module receives the corresponding alarm signals and detects and repairs the factory equipment according to the alarm signals. Using the equipment rotation speed to judge whether the factory equipment can operate normally can not only quickly judge the working state of the factory equipment, but also give priority to dealing with the factory equipment with a large fault degree according to the fault degree value, which can not only save time but also perform maintenance more accurately. Using the fault frequency value to judge whether the factory equipment often fails. If so, new equipment needs to be replaced, which better saves the waste of manpower and material resources for multiple repairs. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Such as Figure 1 is the schematic diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0053] Such as Figure 1 As shown, an Internet of Things monitoring system based on 5G includes a server, and the server is connected to an information data acquisition module, an information data processing module, an information data analysis module, and an alarm module. The information data acquisition module is communicatively connected to the monitoring system through a 5G Internet of Things;

[0054] The information data acquisition module is used to acquire the information data of factory equipment. The specific process includes:

[0055] Install corresponding temperature sensors on several factory equipment to obtain the equipment temperature of the corresponding factory equipment;

[0056] Install corresponding digital multimeters on several factory equipment to obtain the equipment AC frequency of the corresponding factory equipment;

[0057] Obtain the equipment rotation speed according to the equipment AC frequency;

[0058] Mark the obtained equipment AC frequencies and equipment temperatures corresponding to several factory equipment. Mark several equipment AC frequencies as f1, f2... f i and mark several equipment temperatures as T1, T2... T i where i is a positive integer, and mark several equipment rotation speeds obtained according to the equipment AC frequency as N1, N2... N i where N1 and T1 are the equipment rotation speed and equipment temperature obtained for the same equipment and at the same time, N i and T i are obtained simultaneously in one-to-one correspondence;

[0059] Set the acquisition time point t i and at the time point t i simultaneously obtain the equipment AC frequency fi and the equipment temperature T i ;

[0060] Send the obtained equipment AC frequency f i and the equipment temperature T i to the information data processing module.

[0061] The information data processing module is used to process the information data of factory equipment to obtain the fault frequency value and fault degree value of the factory equipment. The specific process includes:

[0062] Receive the equipment AC frequency and obtain the equipment rotation speed N i , that is, the formula is:

[0063]

[0064] where 60 represents per minute, the unit is second; f represents the equipment AC frequency, the unit is Hertz; p represents the number of pole pairs of the rotating magnetic field of the motor in the equipment;

[0065] where p can be expressed as several of 2, 4, 6, 8, 10 poles, and set the number of pole pairs of the rotating magnetic field of the motor in the factory equipment to 8;

[0066] Substitute the obtained AC frequency of the device into the above formula to obtain the device rotation speed;

[0067] At several acquisition time points t i , obtain the device rotation speed N i of the device at time point t i and the device temperature T i As shown in Table 1:

[0068]

[0069] Table 1

[0070] As shown in Table 1, the faster the device rotation speed, the lower the device temperature. The relationship between the motor rotation speed and temperature depends on the load condition of the motor. When the motor load is large, the rotation speed will slow down and the temperature will rise. When the motor load is small, the rotation speed will speed up and the temperature will drop. In addition, the ambient temperature of the motor will also affect the relationship between its rotation speed and temperature. If the ambient temperature is high, the temperature of the motor will rise more easily and the rotation speed will be affected;

[0071] Example 1. Obtain the fault degree value of the factory equipment according to the device rotation speed, that is, the process includes:

[0072] Set the device rotation speed threshold range [a, b] of the factory equipment, and compare the obtained device rotation speed with the threshold range;

[0073] When the device rotation speed is not within the device rotation speed threshold range, mark this device rotation speed as a faulty device rotation speed, and calculate the difference between this faulty device rotation speed and the average value of the device rotation speed threshold range to obtain the faulty device rotation speed difference, marked as N k , where k = 1, 2,..., k, and set the corresponding fault coefficient R k， where the obtained faulty device rotation speed difference N k The formula is:

[0074]

[0075] According to the faulty device rotation speed difference and the corresponding fault coefficient, use the weighted average algorithm to obtain the fault degree value L, that is, the formula is:

[0076]

[0077] Arrange the obtained fault degree values of several factory equipment from large to small, and obtain the acquisition time points corresponding to the corresponding faulty device rotation speeds;

[0078] Arrange the fault severity values from largest to smallest, and give priority to and notify relevant staff to repair the factory equipment with a large fault severity in reverse to avoid unnecessary dangers and losses;

[0079] Example 2: Set the number of acquisitions as i. Calculate the time difference between the acquisition time points corresponding to the rotational speeds of two adjacent faulty devices of the same factory equipment to obtain the fault time difference. Sum up all the fault time differences and obtain the average fault time difference of this factory equipment, which is marked as T w and obtain the number of faults of each factory equipment in the number of acquisitions, which is marked as C r where r = 1, 2,......, r;

[0080] Normalize the fault severity value, the average fault time difference, and the number of faults to obtain the fault frequency value M, that is, the formula is:

[0081]

[0082] where a1, a2, and a3 are preset proportionality coefficients;

[0083] The acquisition of the fault frequency value can judge the aging degree of this factory equipment. If the fault frequency value is too large, it means that the factory equipment frequently fails and has reached the level where it is not necessary to repair, which will not only reduce the factory efficiency and affect the expenditure of human and material resources. Therefore, in this case, replace this factory equipment;

[0084] Give priority to considering the fault severity value of the factory equipment, and then consider the fault frequency value of the factory equipment. Judge the priority processing of this factory equipment and how to process this equipment according to the two fault values;

[0085] Example 3: The ambient temperature of the equipment will also affect its rotational speed. Set the temperature threshold range of the factory equipment and compare the obtained equipment temperature with the temperature threshold range:

[0086] If the equipment temperature exceeds the temperature threshold range, it means that the ambient temperature is abnormal. It is necessary to adjust the ambient temperature of the factory equipment and generate a temperature alarm signal to send to the alarm module.

[0087] The information data analysis module is used to perform fault analysis on the factory equipment according to the fault frequency value and the fault severity value, and generate an alarm signal. The specific process includes:

[0088] Set the fault severity threshold and the fault frequency threshold, compare the obtained fault severity value and fault frequency value of the factory equipment with the fault severity threshold and the fault frequency threshold respectively, and generate an alarm signal:

[0089] When the fault degree value of the factory equipment is less than the fault degree threshold, it is necessary to compare the fault frequency value of the factory equipment with the fault frequency threshold;

[0090] If the fault frequency value of the factory equipment is less than the fault frequency threshold, the fault degree value of the factory equipment is normal, the fault frequency value is normal, and the factory equipment operates normally;

[0091] If the fault frequency value of the factory equipment is greater than the fault frequency threshold, the fault degree value of the factory equipment is normal, the fault frequency value is abnormal, the factory equipment cannot operate normally, and a frequency alarm signal is generated;

[0092] When the fault degree value of the factory equipment is greater than the fault degree threshold, it is necessary to compare the fault frequency value of the factory equipment with the fault frequency threshold;

[0093] If the fault frequency value of the factory equipment is less than the fault frequency threshold, the fault frequency value of the factory equipment is normal, the fault degree value is abnormal, the factory equipment cannot operate normally, and a degree alarm signal is generated;

[0094] If the fault frequency value of the factory equipment is greater than the fault frequency threshold, the fault frequency value of the factory equipment is abnormal, the fault degree value is abnormal, the factory equipment cannot operate normally, and a degree - frequency alarm signal is generated;

[0095] Judge whether the fault degree value and the fault frequency value of the factory equipment are abnormal according to the threshold, generate different alarm signals according to the abnormal data, and send the different alarm signals to the terminal. By receiving the corresponding alarm signals, the corresponding factory equipment is quickly repaired.

[0096] Send the generated alarm signal to the alarm module.

[0097] The alarm module is used to detect and repair the factory equipment according to the alarm signal. The specific process includes:

[0098] When receiving the temperature alarm signal, notify the relevant staff that the ambient temperature of the factory equipment is abnormal and it is necessary to adjust the ambient temperature of the factory equipment;

[0099] When receiving the frequency alarm signal, notify the relevant staff that the fault frequency of the factory equipment is higher than the frequency threshold, indicating that it is necessary to detect the specific problems of the factory equipment or replace the new equipment;

[0100] When receiving the degree alarm signal, notify the relevant staff that the fault degree of the factory equipment is higher than the degree threshold, indicating that it is necessary to repair the factory equipment in advance to ensure normal operation;

[0101] When a degree-frequency alarm signal is received, it notifies the relevant staff that both the fault degree and the fault frequency of the factory equipment are higher than the corresponding thresholds, indicating that the factory equipment needs to be replaced.

[0102] The equipment rotation speed of the factory equipment affects the working efficiency of the equipment. Using the equipment rotation speed to judge whether the factory equipment can operate normally can not only quickly judge the working state of the factory equipment, but also give priority to dealing with the factory equipment with a large fault degree according to the fault degree value. This can not only save time but also perform maintenance more accurately. Using the fault frequency value to judge whether the factory equipment often has faults. If so, new equipment needs to be replaced, which better saves the waste of manpower and material resources for multiple repairs.

[0103] Working principle: The information data acquisition module is used to collect the information data of the factory equipment and send the information data of the factory equipment to the information data processing module. The information data processing unit processes the information data of the factory equipment and obtains the fault frequency value and the fault degree value of the factory equipment. The information data analysis module performs fault analysis on the factory equipment according to the fault frequency value and the fault degree value and generates the corresponding alarm signal, and sends the corresponding alarm signal to the alarm module. The alarm module receives the corresponding alarm signal and detects and repairs the factory equipment according to the alarm signal. Using the equipment rotation speed to judge whether the factory equipment can operate normally can not only quickly judge the working state of the factory equipment, but also give priority to dealing with the factory equipment with a large fault degree according to the fault degree value. This can not only save time but also perform maintenance more accurately. Using the fault frequency value to judge whether the factory equipment often has faults. If so, new equipment needs to be replaced, which better saves the waste of manpower and material resources for multiple repairs.

[0104] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An Internet of Things monitoring system based on 5G, including a server, characterized in that, The server is connected to an information data acquisition module, an information data processing module, an information data analysis module, and an alarm module; The information data acquisition module is used to acquire the information data of factory equipment; The information data processing module is used to process the information data of factory equipment to obtain the fault frequency value and the fault degree value of the factory equipment; The information data analysis module is used to perform fault analysis on the factory equipment according to the fault frequency value and the fault degree value, and generate a corresponding alarm signal according to the analysis result; The alarm module is used to detect and repair the factory equipment according to the alarm signal.

2. The Internet of Things monitoring system based on 5G according to claim 1, characterized in that The process of the information data acquisition module acquiring the information data of factory equipment includes: Install corresponding temperature sensors and digital multimeters on the factory equipment to obtain the equipment temperature and the equipment AC frequency of the corresponding factory equipment; Obtain the equipment rotation speed according to the equipment AC frequency; Set the acquisition period, and set several acquisition time points within the acquisition period. The acquisition time points simultaneously obtain the equipment AC frequency and the equipment temperature; Send the obtained equipment AC frequency and equipment temperature to the information data processing module.

3. An Internet of Things monitoring system based on 5G according to claim 2, characterized in that, The process of the information data processing module processing the information data of factory equipment to obtain the fault degree value includes: Obtain the equipment rotation speed according to the received equipment AC frequency; Set the equipment speed threshold range [a, b] for the factory equipment, then the average value of the equipment speed threshold is , and compare the obtained equipment speed with the threshold range; When the equipment rotation speed exceeds the equipment rotation speed threshold range, mark the equipment rotation speed as the fault equipment rotation speed, obtain the fault equipment rotation speed difference according to the average value of the fault equipment rotation speed and the equipment rotation speed threshold, and set the corresponding fault coefficient; Obtain the fault degree value by using the weighted average algorithm according to the fault equipment rotation speed difference and the corresponding fault coefficient.

4. An Internet of Things monitoring system based on 5G according to claim 3, characterized in that, The process of obtaining the fault frequency value includes: Calculate the time difference between the acquisition time points corresponding to two adjacent fault equipment rotation speeds of the same factory equipment and obtain the fault time difference; Sum all the fault time differences to obtain the average fault time difference of the factory equipment, and obtain the number of faults of the factory equipment in the number of acquisitions; Normalize the fault degree value, the average fault time difference, and the number of faults to obtain the fault frequency value.

5. An Internet of Things monitoring system based on 5G according to claim 2, characterized in that, Set the temperature threshold range of the factory equipment, and compare the obtained equipment temperature with the temperature threshold range: If the equipment temperature is not within the temperature threshold range, it means that the ambient temperature of the equipment is abnormal, and the ambient temperature of the equipment needs to be adjusted, and a temperature alarm signal is generated and sent to the alarm module.

6. The Internet of Things monitoring system based on 5G according to claim 4, characterized in that, The process of the information data analysis module performing fault analysis on the factory equipment according to the fault frequency value and the fault degree value includes: Set the fault degree threshold and the fault frequency threshold, and compare the obtained fault degree value and the fault frequency value of the factory equipment with the fault degree threshold and the fault frequency threshold respectively: When the fault degree value of the factory equipment is less than or equal to the fault degree threshold, it is necessary to compare the fault frequency value of the factory equipment with the fault frequency threshold; If the fault frequency value of the factory equipment is less than or equal to the fault frequency threshold, the fault degree value of the factory equipment is normal, the fault frequency value is normal, and the factory equipment operates normally; If the failure frequency value of the factory equipment is greater than the failure frequency threshold, the failure degree value of the factory equipment is normal, the failure frequency value is abnormal, the factory equipment cannot operate normally, and a frequency alarm signal is generated; When the failure degree value of the factory equipment is greater than the failure degree threshold, it is necessary to compare the failure frequency value of the factory equipment with the failure frequency threshold; If the failure frequency value of the factory equipment is less than or equal to the failure frequency threshold, the failure frequency value of the factory equipment is normal, the failure degree value is abnormal, the factory equipment cannot operate normally, and a degree alarm signal is generated; If the failure frequency value of the factory equipment is greater than the failure frequency threshold, the failure frequency value of the factory equipment is abnormal, the failure degree value is abnormal, the factory equipment cannot operate normally, and a degree frequency alarm signal is generated.

7. An Internet of Things monitoring system based on 5G according to claim 5, characterized in that, When the temperature alarm signal is received, it is notified to the relevant staff that the ambient temperature of the factory equipment is abnormal and the ambient temperature of the factory equipment needs to be adjusted.

8. An Internet of Things monitoring system based on 5G according to claim 6, characterized in that, The process of the alarm module detecting and repairing the factory equipment according to the alarm signal includes: When the frequency alarm signal is received, it is notified to the relevant staff that the failure frequency of the factory equipment is higher than the frequency threshold, indicating that the specific problems of the factory equipment need to be detected or new equipment needs to be replaced; When the degree alarm signal is received, it is notified to the relevant staff that the failure degree of the factory equipment is higher than the degree threshold, indicating that the factory equipment needs to be repaired in advance to ensure normal operation; When the degree frequency alarm signal is received, it is notified to the relevant staff that both the failure degree and the failure frequency of the factory equipment are higher than the corresponding thresholds, indicating that the factory equipment needs to be replaced.

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