A method and system for monitoring the operation status of industrial equipment based on data analysis

Abstract

The present invention discloses a method and system for monitoring the operation status of industrial equipment based on data analysis. The monitoring method includes: collecting real-time data of industrial equipment through sensors and intelligent devices to obtain real-time operation data of industrial equipment and data on the time the industrial equipment has been running; obtaining historical operation data of industrial equipment; obtaining abnormal state points of industrial equipment; comparing and judging the real-time operation data of industrial equipment to obtain the real-time state of industrial equipment; and selecting whether to send alarm information based on the real-time state of industrial equipment. The present invention first determines the abnormal state points of industrial equipment, and then compares and judges the real-time operation data of industrial equipment and the abnormal state points of industrial equipment to determine the real-time state of industrial equipment. When the industrial equipment is in an abnormal state, the industrial equipment is shut down. When the industrial equipment is in a normal state, the industrial equipment is monitored, thereby avoiding damage to the industrial equipment and extending the service life of the industrial equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical data analysis, and in particular to a method and system for monitoring the operating status of industrial equipment based on data analysis. Background Art

[0002] Industrial equipment refers to industrial production equipment and various machine tools, such as lathes, milling machines, grinders, planers and other machines.

[0003] Existing industrial equipment does not analyze its operating data during operation, and cannot determine whether the industrial equipment is working in a normal state or an abnormal state. Therefore, when industrial equipment works in an abnormal state for a long time, the service life of the industrial equipment will be greatly reduced, and the industrial equipment may also be damaged. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for monitoring the operating status of industrial equipment based on data analysis are provided. This technical solution solves the problem proposed in the above background technology that the existing industrial equipment does not analyze the operating data of the industrial equipment during operation, and cannot determine whether the industrial equipment is working in a normal state or an abnormal state. Therefore, when the industrial equipment works in an abnormal state for a long time, the service life of the industrial equipment will be greatly reduced, and the problem of damage to the industrial equipment may also occur.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for monitoring the operating status of industrial equipment based on data analysis, comprising the steps of:

[0007] S1, collects real-time data of industrial equipment through sensors and smart devices to obtain real-time operation data of industrial equipment and data on the time the industrial equipment has been running;

[0008] S3, based on the database system, reads data from the database system to obtain historical operation data of industrial equipment;

[0009] S5, performing data analysis based on the historical operation data of industrial equipment to obtain abnormal status points of industrial equipment;

[0010] S7, based on the abnormal status points of the industrial equipment, compare and judge the real-time operation data of the industrial equipment to obtain the real-time status of the industrial equipment;

[0011] S9, based on the real-time status of the industrial equipment, choose whether to send an alarm message.

[0012] Preferably, the step S5, performing data analysis based on the historical operation data of the industrial equipment to obtain the abnormal state points of the industrial equipment, specifically includes the following steps:

[0013] S51, performing data preprocessing according to historical operation data of the industrial equipment to obtain preprocessed historical operation data, wherein the preprocessing includes data cleaning, data outlier removal, and data missing value supplementation;

[0014] S53, based on the database system, reading data from the database system to obtain factory specification parameters of the industrial equipment;

[0015] S55, performing data screening and processing according to factory specification parameters of the industrial equipment to obtain normal operating parameters of the industrial equipment;

[0016] S57, based on the pre-processed historical operation data, correct the normal operation parameters of the industrial equipment to obtain the abnormal state points of the industrial equipment.

[0017] Preferably, the step S57, based on the pre-processed historical operation data, corrects the normal operation parameters of the industrial equipment to obtain the abnormal state points of the industrial equipment, specifically includes the following steps:

[0018] S571, performing data analysis and processing according to the normal operating parameters of the industrial equipment, and obtaining the maximum normal operating parameters of the industrial equipment and the minimum normal operating parameters of the industrial equipment;

[0019] S572, performing data analysis and processing according to factory specification parameters of the industrial equipment to obtain abnormal operation status of the industrial equipment;

[0020] S573, based on the abnormal operation state of the industrial equipment, performing data analysis and processing on the pre-processed historical operation data to obtain the maximum parameters of the real-time normal operation of the industrial equipment and the minimum parameters of the real-time normal operation of the industrial equipment;

[0021] S574, based on the real-time normal operation maximum parameter of the industrial equipment and the real-time normal operation minimum parameter of the industrial equipment, correct the factory normal operation maximum parameter of the industrial equipment and the factory normal operation minimum parameter of the industrial equipment to obtain the corrected normal operation maximum parameter of the industrial equipment and the corrected normal operation minimum parameter of the industrial equipment;

[0022] S575, dividing the interval according to the maximum parameter of the industrial equipment corrected normal operation and the minimum parameter of the industrial equipment corrected normal operation, and obtaining the corrected normal operation interval of the industrial equipment;

[0023] S576, setting the maximum parameter of the industrial equipment for correcting normal operation and the minimum parameter of the industrial equipment for correcting normal operation as the abnormal state point of the industrial equipment.

[0024] Preferably, the step S7, based on the abnormal state point of the industrial equipment, compares and judges the real-time operation data of the industrial equipment to obtain the real-time state of the industrial equipment, specifically includes the following steps:

[0025] S71, judging and processing based on the real-time operation data of the industrial equipment and the abnormal state points of the industrial equipment;

[0026] S73, if the real-time operation data of the industrial equipment is within the corrected normal operation range of the industrial equipment, determining that the real-time state of the industrial equipment is a normal operation state;

[0027] S75: If the real-time operation data of the industrial equipment is greater than or less than the abnormal state point of the industrial equipment, it is determined that the real-time state of the industrial equipment is an abnormal operation state.

[0028] Preferably, the step S9, based on the real-time status of the industrial equipment, selecting whether to send an alarm message specifically comprises the following steps:

[0029] S91, if the real-time status of the industrial equipment is a normal operating status;

[0030] S93, performing calculation and processing based on the real-time operation data of the industrial equipment and the abnormal state points of the industrial equipment to obtain the state difference of the industrial equipment;

[0031] S95, analyzing and processing the state difference of the industrial equipment based on the factory specification parameters of the industrial equipment to determine the abnormal state arrival time;

[0032] S97, judging and processing based on the abnormal state arrival time, and selecting whether to send an alarm message;

[0033] S92: If the real-time status of the industrial equipment is an abnormal operating status, an alarm message is sent and the industrial equipment is shut down.

[0034] Preferably, the specific calculation formula for obtaining the state difference of industrial equipment is:

[0035] C d =C max -C rt ;

[0036] In the formula, C d is the state difference of industrial equipment; C max Correct the maximum parameters for normal operation of industrial equipment; C rt Real-time operation data of industrial equipment.

[0037] Preferably, the step S95, analyzing and processing the state difference of the industrial equipment based on the factory specification parameters of the industrial equipment, and determining the abnormal state arrival time specifically includes the following steps:

[0038] S951, searching for data according to factory specification parameters of the industrial equipment to obtain a state increment of the industrial equipment, where the dimension of the state increment of the industrial equipment is state / time;

[0039] S953, performing calculation processing based on the state difference of the industrial equipment and the state increment of the industrial equipment to obtain the abnormal state arrival time.

[0040] Preferably, the step S97, judging and processing based on the abnormal state arrival time, and selecting whether to send an alarm message, specifically includes the following steps:

[0041] S971, based on the database system, perform data retrieval processing on the database system to obtain the operating time data of the industrial equipment;

[0042] S973, performing calculation and processing based on the industrial equipment operation time data and the industrial equipment operation time data, to obtain the industrial equipment remaining operation time data;

[0043] S975, making a judgment based on the remaining operation time data of the industrial equipment and the abnormal state arrival time;

[0044] S977, if the remaining operating time data of the industrial equipment is greater than or equal to the abnormal state arrival time, the parameters of the sensors and smart devices are adjusted based on the abnormal state point of the industrial equipment. The sensors and smart devices with adjusted parameters monitor the industrial equipment in real time. When the real-time state of the industrial equipment is an abnormal operating state, an alarm message is sent to shut down the industrial equipment.

[0045] S979: If the remaining operating time data of the industrial equipment is less than the abnormal state arrival time, the industrial equipment is monitored in real time through sensors and smart devices.

[0046] Furthermore, a data analysis-based industrial equipment operation status monitoring system is proposed, which is used to implement the above-mentioned data analysis-based industrial equipment operation status monitoring method, including:

[0047] Sensors and smart devices, which are used to collect and monitor real-time data of industrial equipment, and obtain real-time operation data of industrial equipment and data on the time the industrial equipment has been running;

[0048] A database system, the database system is used to store historical operation data of industrial equipment, factory specification parameters of industrial equipment and operation time data of industrial equipment;

[0049] A data analysis module, wherein the data analysis module analyzes the normal operating parameters and abnormal operating status of the industrial equipment respectively, and obtains the maximum normal operating parameters of the industrial equipment, the minimum normal operating parameters of the industrial equipment, the maximum real-time normal operating parameters of the industrial equipment, and the minimum real-time normal operating parameters of the industrial equipment;

[0050] A correction module, wherein the correction module corrects the maximum normal operation parameters of the industrial equipment and the minimum normal operation parameters of the industrial equipment, and obtains the corrected maximum normal operation parameters and the corrected minimum normal operation parameters of the industrial equipment based on the maximum real-time normal operation parameters and the minimum real-time normal operation parameters of the industrial equipment;

[0051] A data calculation module, wherein the data calculation module performs calculations based on the real-time operation data of the industrial equipment and the abnormal state points of the industrial equipment to obtain the state difference of the industrial equipment; the data calculation module performs calculations based on the operation time data of the industrial equipment and the operation time data of the industrial equipment to obtain the remaining operation time data of the industrial equipment;

[0052] A comparison and judgment module, which performs judgment processing according to the abnormal state arrival time and selects whether to send an alarm message;

[0053] A control module is used to realize data transmission and information interaction between modules.

[0054] Compared with the prior art, the present invention provides a method and system for monitoring the operating status of industrial equipment based on data analysis, which has the following beneficial effects:

[0055] The present invention firstly corrects the maximum parameters of normal operation of industrial equipment out of the factory and the minimum parameters of normal operation of industrial equipment out of the factory through the historical operation data of the industrial equipment, determines the abnormal state points of the industrial equipment, and then compares and judges the real-time operation data of the industrial equipment and the abnormal state points of the industrial equipment to determine the real-time state of the industrial equipment. When the industrial equipment is working in an abnormal state, the industrial equipment is shut down, and when the industrial equipment is working in a normal state, the industrial equipment is monitored, thereby avoiding damage to the industrial equipment and extending the service life of the industrial equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 This is a flow chart of steps S1-S9 in a method for monitoring the operating status of industrial equipment based on data analysis proposed by the present invention;

[0057] Figure 2 A schematic flow chart of steps S51-S57 in a method for monitoring the operating status of industrial equipment based on data analysis proposed by the present invention;

[0058] Figure 3 This is a flow chart of steps S571-S576 in a method for monitoring the operating status of industrial equipment based on data analysis proposed by the present invention;

[0059] Figure 4 A flowchart of steps S71-S75 in a method for monitoring the operating status of industrial equipment based on data analysis proposed by the present invention;

[0060] Figure 5 A flowchart of steps S91-S97 and step S92 in a method for monitoring the operating status of industrial equipment based on data analysis proposed by the present invention;

[0061] Figure 6 This is a flow chart of steps S951-S953 in a method for monitoring the operating status of industrial equipment based on data analysis proposed by the present invention;

[0062] Figure 7 A flowchart of steps S971-S979 in a method for monitoring the operating status of industrial equipment based on data analysis proposed by the present invention;

[0063] Figure 8 The present invention provides a block diagram of an industrial equipment operation status monitoring system based on data analysis. DETAILED DESCRIPTION

[0064] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0065] Reference Figure 1 As shown, a method for monitoring the operating status of industrial equipment based on data analysis includes:

[0066] S1. Collect real-time data of industrial equipment through sensors and smart devices to obtain real-time operation data of industrial equipment and data on the time the industrial equipment has been running;

[0067] S3. Based on the database system, read the data from the database system to obtain the historical operation data of the industrial equipment;

[0068] S5. Perform data analysis based on the historical operation data of industrial equipment to obtain abnormal status points of industrial equipment;

[0069] S7. Based on the abnormal status points of the industrial equipment, compare and judge the real-time operation data of the industrial equipment to obtain the real-time status of the industrial equipment;

[0070] S9. Based on the real-time status of the industrial equipment, choose whether to send an alarm message;

[0071] In order to avoid damage to industrial equipment, it is necessary to monitor the data when abnormalities occur in the industrial equipment. Therefore, the present invention determines the abnormal state points of the industrial equipment by analyzing the historical operation data of the industrial equipment and the factory specification parameters of the industrial equipment in the database system, and adjusts the parameters of the sensors and intelligent devices according to the abnormal state points of the industrial equipment. The adjusted sensors and intelligent devices monitor the industrial equipment. When the operation data of the industrial equipment is consistent with the abnormal state points of the industrial equipment, an alarm message is sent to shut down the industrial equipment, thereby avoiding damage to the industrial equipment and extending the service life of the industrial equipment.

[0072] Reference Figure 2 As shown, data analysis based on the historical operation data of industrial equipment to obtain the abnormal status points of industrial equipment specifically includes the following steps:

[0073] S51, performing data preprocessing according to the historical operation data of the industrial equipment to obtain preprocessed historical operation data, wherein the preprocessing includes data cleaning, data outlier removal, and data missing value supplementation;

[0074] S53, based on the database system, reading data from the database system to obtain factory specification parameters of the industrial equipment;

[0075] S55, performing data screening and processing according to factory specification parameters of the industrial equipment to obtain normal operating parameters of the industrial equipment;

[0076] S57. Based on the pre-processed historical operation data, the normal operation parameters of the industrial equipment are corrected to obtain the abnormal status points of the industrial equipment.

[0077] Reference Figure 3 As shown, based on the pre-processed historical operation data, the normal operation parameters of the industrial equipment are corrected and processed, and the abnormal state points of the industrial equipment are obtained, which specifically includes the following steps:

[0078] S571. Perform data analysis and processing according to the normal operating parameters of the industrial equipment to obtain the maximum normal operating parameters of the industrial equipment and the minimum normal operating parameters of the industrial equipment.

[0079] S572. Perform data analysis and processing according to factory specification parameters of industrial equipment to obtain abnormal operation status of industrial equipment;

[0080] S573. Based on the abnormal operation state of the industrial equipment, perform data analysis and processing on the pre-processed historical operation data to obtain the maximum parameters of the real-time normal operation of the industrial equipment and the minimum parameters of the real-time normal operation of the industrial equipment;

[0081] S574. Based on the real-time normal operation maximum parameter of the industrial equipment and the real-time normal operation minimum parameter of the industrial equipment, the factory normal operation maximum parameter of the industrial equipment and the factory normal operation minimum parameter of the industrial equipment are corrected to obtain the corrected normal operation maximum parameter of the industrial equipment and the corrected normal operation minimum parameter of the industrial equipment;

[0082] S575, dividing the interval according to the maximum parameter of the industrial equipment corrected normal operation and the minimum parameter of the industrial equipment corrected normal operation, and obtaining the corrected normal operation interval of the industrial equipment;

[0083] S576, setting the maximum parameter of the industrial equipment for correcting normal operation and the minimum parameter of the industrial equipment for correcting normal operation as the abnormal state point of the industrial equipment;

[0084] In this embodiment, as the use time of industrial equipment increases, some components of the industrial equipment will age or wear out. Therefore, the data of abnormal status of the industrial equipment will change. Therefore, the maximum parameters for normal operation of the industrial equipment when leaving the factory and the minimum parameters for normal operation of the industrial equipment when leaving the factory are corrected through the historical operation data of the industrial equipment to determine the abnormal status points of the industrial equipment, thereby improving the monitoring accuracy of sensors and intelligent devices and reducing the risk of damage to industrial equipment.

[0085] Reference Figure 4 As shown, based on the abnormal status points of industrial equipment, the real-time operation data of industrial equipment is compared and judged, and obtaining the real-time status of industrial equipment specifically includes the following steps:

[0086] S71, judging and processing according to the real-time operation data of the industrial equipment and the abnormal points of the state of the industrial equipment;

[0087] S73. If the real-time operation data of the industrial equipment is within the corrected normal operation range of the industrial equipment, the real-time state of the industrial equipment is a normal operation state;

[0088] S75. If the real-time operation data of the industrial equipment is greater than or less than the abnormal state point of the industrial equipment, the real-time state of the industrial equipment is an abnormal operation state.

[0089] Reference Figure 5 As shown, based on the real-time status of the industrial equipment, selecting whether to send an alarm message specifically includes the following steps:

[0090] S91. If the real-time status of the industrial equipment is a normal operating status;

[0091] S93, performing calculation and processing based on the real-time operation data of the industrial equipment and the abnormal state points of the industrial equipment to obtain the state difference of the industrial equipment;

[0092] S95. Analyze and process the state difference of the industrial equipment based on the factory specification parameters of the industrial equipment to determine the abnormal state arrival time;

[0093] S97, judging and processing based on the abnormal state arrival time, and selecting whether to send an alarm message;

[0094] S92. If the real-time status of the industrial equipment is an abnormal operating status, send an alarm message and shut down the industrial equipment;

[0095] Among them, the specific calculation formula for obtaining the state difference of industrial equipment is:

[0096] C d =C max -C rt ;

[0097] In the formula, C d is the state difference of industrial equipment; C max Correct the maximum parameters for normal operation of industrial equipment; C rt Real-time operation data of industrial equipment.

[0098] Reference Figure 6 As shown, based on the factory specification parameters of the industrial equipment, the state difference of the industrial equipment is analyzed and processed to determine the abnormal state arrival time, which specifically includes the following steps:

[0099] S951. Search data according to factory specification parameters of the industrial equipment to obtain a state increment of the industrial equipment, where the dimension of the state increment of the industrial equipment is state / time;

[0100] S953, performing calculation processing based on the state difference of the industrial equipment and the state increment of the industrial equipment to obtain the abnormal state arrival time;

[0101] In this embodiment, when the industrial equipment is in normal operation, the industrial equipment will not be damaged. As time goes by, various operating data of the industrial equipment will change, such as overheating. Therefore, the time when the industrial equipment reaches an abnormal state is predicted to avoid damage to the industrial equipment.

[0102] Reference Figure 7 As shown, judging and processing based on the abnormal state arrival time, selecting whether to send an alarm message specifically includes the following steps:

[0103] S971. Based on the database system, perform data retrieval processing on the database system to obtain the operating time data of the industrial equipment;

[0104] S973. Calculate and process the industrial equipment operation time data and the industrial equipment operation time data to obtain the remaining operation time data of the industrial equipment;

[0105] S975, performing judgment and processing based on the remaining operating time data of the industrial equipment and the abnormal state arrival time;

[0106] S977. If the remaining operating time data of the industrial equipment is greater than or equal to the abnormal state arrival time, the parameters of the sensors and smart devices are adjusted based on the abnormal state point of the industrial equipment. The sensors and smart devices after the parameter adjustment monitor the industrial equipment in real time. When the real-time state of the industrial equipment is an abnormal operating state, an alarm message is sent to shut down the industrial equipment.

[0107] S979. If the remaining operating time data of the industrial equipment is less than the abnormal state arrival time, the industrial equipment is monitored in real time through sensors and smart devices;

[0108] In this embodiment, the remaining operating time data of the industrial equipment and the time of arrival at the abnormal state are analyzed. If the remaining operating time data of the industrial equipment is greater than or equal to the time of arrival at the abnormal state, it means that the industrial equipment will reach an abnormal state within the remaining operating time data of the industrial equipment. In order to monitor the arrival of the abnormal state of the industrial equipment as soon as possible, the parameters of the sensors and smart devices are adjusted. The parameters of the sensors and smart devices are the parameters of the industrial equipment reaching the abnormal state. When the sensors and smart devices monitor that the industrial equipment has reached an abnormal state, the industrial equipment is shut down and an alarm message is sent, thereby avoiding damage to the industrial equipment and extending the service life of the industrial equipment.

[0109] Reference Figure 8 As shown, a system for monitoring the operation status of industrial equipment based on data analysis is used to implement any of the above-mentioned methods for monitoring the operation status of industrial equipment based on data analysis, including:

[0110] Sensors and smart devices 10, which are used to collect and monitor real-time data of industrial equipment, and obtain real-time operation data of industrial equipment and data on the time the industrial equipment has been running;

[0111] A database system 20, the database system 20 is used to store historical operation data of industrial equipment, factory specification parameters of industrial equipment and operation time data of industrial equipment;

[0112] A data analysis module 30, wherein the data analysis module 30 analyzes the normal operating parameters and abnormal operating status of the industrial equipment respectively, and obtains the maximum normal operating parameters of the industrial equipment, the minimum normal operating parameters of the industrial equipment, the maximum real-time normal operating parameters of the industrial equipment, and the minimum real-time normal operating parameters of the industrial equipment;

[0113] A correction module 40, wherein the correction module 40 corrects the maximum normal operation parameters of the industrial equipment and the minimum normal operation parameters of the industrial equipment, and obtains the corrected maximum normal operation parameters and the corrected minimum normal operation parameters of the industrial equipment;

[0114] A data calculation module 50, wherein the data calculation module 50 performs calculations based on the real-time operation data of the industrial equipment and the abnormal state points of the industrial equipment to obtain the state difference of the industrial equipment; the data calculation module performs calculations based on the operation time data of the industrial equipment and the operation time data of the industrial equipment to obtain the remaining operation time data of the industrial equipment;

[0115] A comparison and judgment module 60, wherein the comparison and judgment module 60 performs a judgment process according to the abnormal state arrival time and selects whether to send an alarm message;

[0116] The control module 70 is used to realize data transmission and information interaction between the above modules.

[0117] This embodiment determines the abnormal status points of the industrial equipment by analyzing the historical operating data of the industrial equipment and the factory specification parameters of the industrial equipment in the database system, adjusts the parameters of the sensors and intelligent devices according to the abnormal status points of the industrial equipment, and uses the adjusted sensors and intelligent devices to monitor the industrial equipment. When the operating data of the industrial equipment is consistent with the abnormal status points of the industrial equipment, an alarm message is sent to shut down the industrial equipment, thereby avoiding damage to the industrial equipment and extending the service life of the industrial equipment.

[0118] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for monitoring the operating status of industrial equipment based on data analysis, characterized in that: Includes steps: S1, collects real-time data of industrial equipment through sensors and smart devices to obtain real-time operation data of industrial equipment and data on the time the industrial equipment has been running; S3, based on the database system, reads data from the database system to obtain historical operation data of industrial equipment; S5, performing data analysis based on the historical operation data of industrial equipment to obtain abnormal status points of industrial equipment; S7, based on the abnormal status points of the industrial equipment, compare and judge the real-time operation data of the industrial equipment to obtain the real-time status of the industrial equipment; S9, based on the real-time status of the industrial equipment, choose whether to send an alarm message.

2. The method for monitoring the operating status of industrial equipment based on data analysis according to claim 1, characterized in that: The step S5, performing data analysis based on the historical operation data of the industrial equipment to obtain the abnormal status points of the industrial equipment, specifically includes the following steps: S51, performing data preprocessing according to historical operation data of the industrial equipment to obtain preprocessed historical operation data, wherein the preprocessing includes data cleaning, data outlier removal, and data missing value supplementation; S53, based on the database system, reading data from the database system to obtain factory specification parameters of the industrial equipment; S55, performing data screening and processing according to factory specification parameters of the industrial equipment to obtain normal operating parameters of the industrial equipment; S57, based on the pre-processed historical operation data, correct the normal operation parameters of the industrial equipment to obtain the abnormal state points of the industrial equipment.

3. The method for monitoring the operating status of industrial equipment based on data analysis according to claim 2, characterized in that: The step S57, based on the pre-processed historical operation data, corrects the normal operation parameters of the industrial equipment to obtain the abnormal state points of the industrial equipment, specifically includes the following steps: S571, performing data analysis and processing according to the normal operating parameters of the industrial equipment, and obtaining the maximum normal operating parameters of the industrial equipment and the minimum normal operating parameters of the industrial equipment; S572, performing data analysis and processing according to factory specification parameters of the industrial equipment to obtain abnormal operation status of the industrial equipment; S573, based on the abnormal operation state of the industrial equipment, performing data analysis and processing on the pre-processed historical operation data to obtain the maximum parameters of the real-time normal operation of the industrial equipment and the minimum parameters of the real-time normal operation of the industrial equipment; S574, based on the real-time normal operation maximum parameter of the industrial equipment and the real-time normal operation minimum parameter of the industrial equipment, correct the factory normal operation maximum parameter of the industrial equipment and the factory normal operation minimum parameter of the industrial equipment to obtain the corrected normal operation maximum parameter of the industrial equipment and the corrected normal operation minimum parameter of the industrial equipment; S575, dividing the interval according to the maximum parameter of the industrial equipment corrected normal operation and the minimum parameter of the industrial equipment corrected normal operation, and obtaining the corrected normal operation interval of the industrial equipment; S576, setting the maximum parameter of the industrial equipment for correcting normal operation and the minimum parameter of the industrial equipment for correcting normal operation as the abnormal state point of the industrial equipment.

4. The method for monitoring the operating status of industrial equipment based on data analysis according to claim 1, characterized in that: The step S7, based on the abnormal state point of the industrial equipment, compares and judges the real-time operation data of the industrial equipment to obtain the real-time state of the industrial equipment, specifically includes the following steps: S71, performing judgment and processing based on the real-time operation data of the industrial equipment and the abnormal state points of the industrial equipment; S73, if the real-time operation data of the industrial equipment is within the corrected normal operation range of the industrial equipment, determining that the real-time state of the industrial equipment is a normal operation state; S75: If the real-time operation data of the industrial equipment is greater than or less than the abnormal state point of the industrial equipment, it is determined that the real-time state of the industrial equipment is an abnormal operation state.

5. The method for monitoring the operating status of industrial equipment based on data analysis according to claim 1, characterized in that: The step S9, based on the real-time status of the industrial equipment, selects whether to send an alarm message, and specifically includes the following steps: S91, if the real-time status of the industrial equipment is a normal operating status; S93, performing calculation and processing based on the real-time operation data of the industrial equipment and the abnormal state points of the industrial equipment to obtain the state difference of the industrial equipment; S95, analyzing and processing the state difference of the industrial equipment based on the factory specification parameters of the industrial equipment to determine the abnormal state arrival time; S97, judging and processing based on the abnormal state arrival time, and selecting whether to send an alarm message; S92: If the real-time status of the industrial equipment is an abnormal operating status, an alarm message is sent and the industrial equipment is shut down.

6. The method for monitoring the operating status of industrial equipment based on data analysis according to claim 5, characterized in that: The specific calculation formula for obtaining the state difference of industrial equipment is: C d =C max -C ty ; In the formula, C d is the state difference of industrial equipment; C max Correct the maximum parameters for normal operation of industrial equipment; C rt Real-time operation data of industrial equipment.

7. The method for monitoring the operating status of industrial equipment based on data analysis according to claim 5, characterized in that: The step S95, based on the factory specification parameters of the industrial equipment, analyzes and processes the state difference of the industrial equipment to determine the abnormal state arrival time, specifically includes the following steps: S951, searching for data according to factory specification parameters of the industrial equipment to obtain a state increment of the industrial equipment, where the dimension of the state increment of the industrial equipment is state / time; S953, performing calculation processing based on the state difference of the industrial equipment and the state increment of the industrial equipment to obtain the abnormal state arrival time.

8. The method for monitoring the operating status of industrial equipment based on data analysis according to claim 5, characterized in that: The step S97, judging and processing based on the abnormal state arrival time, and selecting whether to send an alarm message, specifically includes the following steps: S971, based on the database system, perform data retrieval processing on the database system to obtain the operating time data of the industrial equipment; S973, performing calculation and processing based on the industrial equipment operation time data and the industrial equipment operation time data, to obtain the industrial equipment remaining operation time data; S975, making a judgment based on the remaining operation time data of the industrial equipment and the abnormal state arrival time; S977, if the remaining operating time data of the industrial equipment is greater than or equal to the abnormal state arrival time, the parameters of the sensors and smart devices are adjusted based on the abnormal state point of the industrial equipment. The sensors and smart devices with adjusted parameters monitor the industrial equipment in real time. When the real-time state of the industrial equipment is an abnormal operating state, an alarm message is sent to shut down the industrial equipment. S979: If the remaining operating time data of the industrial equipment is less than the abnormal state arrival time, the industrial equipment is monitored in real time through sensors and smart devices.

9. An industrial equipment operation status monitoring system based on data analysis, used to implement an industrial equipment operation status monitoring method based on data analysis as claimed in any one of claims 1 to 9, characterized in that: include: Sensors and smart devices (10), the sensors and smart devices (10) are used to collect and monitor real-time data of industrial equipment, and obtain real-time operation data of the industrial equipment and operation time data of the industrial equipment; A database system (20), the database system (20) being used to store historical operating data of industrial equipment, factory specification parameters of industrial equipment and operating time data of industrial equipment; A data analysis module (30), wherein the data analysis module (30) analyzes normal operating parameters of industrial equipment and abnormal operating status of industrial equipment respectively, and obtains maximum normal operating parameters of industrial equipment before leaving the factory, minimum normal operating parameters of industrial equipment before leaving the factory, maximum real-time normal operating parameters of industrial equipment, and minimum real-time normal operating parameters of industrial equipment; A correction module (40), wherein the correction module (40) corrects the maximum normal operation parameters of the industrial equipment and the minimum normal operation parameters of the industrial equipment, and obtains the corrected maximum normal operation parameters and the corrected minimum normal operation parameters of the industrial equipment based on the maximum real-time normal operation parameters of the industrial equipment and the minimum real-time normal operation parameters of the industrial equipment; A data calculation module (50), wherein the data calculation module (50) performs calculation processing based on the real-time operation data of the industrial equipment and the abnormal state points of the industrial equipment to obtain the state difference of the industrial equipment; the data calculation module performs calculation processing based on the operation time data of the industrial equipment and the operation time data of the industrial equipment to obtain the remaining operation time data of the industrial equipment; A comparison and judgment module (60), wherein the comparison and judgment module (60) performs judgment processing according to the abnormal state arrival time and selects whether to send an alarm message; A control module (70), wherein the control module (70) is used to realize data transmission and information interaction between various modules.

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