A data management method based on industrial Internet of Things

Abstract

The present invention discloses a data management method based on industrial Internet of Things, and specifically relates to the technical field of data management, including industrial Internet of Things network communication data collection, industrial Internet of Things equipment production status management, industrial Internet of Things equipment production status secondary regulation, industrial Internet of Things production safety monitoring, industrial Internet of Things production safety secondary optimization, industrial Internet of Things production data risk intelligent management, industrial Internet of Things production data risk assessment. The present invention collects production safety monitoring data of various industrial production equipment through the communication network of the industrial Internet of Things, calculates the production process primary data analysis index and the production safety primary data management index, obtains the production data risk assessment coefficient, realizes comprehensive data collection, and improves the enterprise's data optimization capability through in-depth data analysis technology, which is beneficial for the enterprise to grasp the production process and safety status as a whole, and take measures in advance to prevent and solve them.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and more specifically, to a data management method based on industrial Internet of Things. Background Art

[0002] With the rapid progress of industrial automation and information technology, the application of industrial Internet of Things technology in industrial production has become increasingly extensive and critical. By integrating various sensors, equipment and machines, industrial Internet of Things technology has realized the collection, transmission, storage, processing and analysis of data in the production process, bringing rich data insights and decision-making support to enterprises, and significantly improving production efficiency and management level.

[0003] In order to efficiently manage and use the huge amount of data generated by the Industrial Internet of Things, companies must adopt a series of strategies to convert these complex data into easy-to-interpret charts, dashboards and reports. This not only helps management to quickly grasp production dynamics, but also provides intuitive data support for technical personnel, enabling them to make more scientific and reasonable decisions. In this way, companies can more effectively monitor production processes, optimize resource allocation, improve product quality, reduce production costs, and ultimately achieve the goal of sustainable development.

[0004] However, in actual use, it still has some shortcomings, such as poor performance in existing industrial IoT data processing efficiency and lack of real-time performance. These problems lead to slow data processing speed and inability to respond to various emergencies in a timely manner, thus affecting the overall performance and user experience.

[0005] The current industrial Internet of Things management system has deficiencies in monitoring indicators and fails to fully monitor the data on the safe operation of equipment. It is too one-sided to rely solely on the monitoring indicators provided by sensors to evaluate the safety performance of equipment, and it is unable to deeply explore the potential value of data to provide sufficient support for production decisions. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a data management method based on industrial Internet of Things, which is used to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solution: a data management method based on industrial Internet of Things, comprising:

[0008] Step S01: Industrial Internet of Things network communication data collection: used to collect production safety monitoring data of various industrial production equipment through the communication network of the Industrial Internet of Things. The Industrial Internet of Things network communication data collection includes an equipment production status data collection unit and an equipment production safety risk data collection unit.

[0009] Step S02: Industrial Internet of Things equipment production status management: The production process data analysis index of each industrial production equipment is calculated based on the equipment production status data collection unit.

[0010] Step S03: Secondary regulation of the production status of industrial IoT equipment: Based on the production process deviation of each industrial production equipment, the production status regulation index of each industrial production equipment is calculated and managed.

[0011] Step S04: Industrial Internet of Things production safety monitoring: The production safety primary data management index of each industrial production equipment is calculated based on the production safety risk data collection unit.

[0012] Step S05: Secondary optimization of industrial Internet of Things production safety: According to the primary data management index of production safety of each industrial production equipment, the equipment production safety optimization index of each industrial production equipment is calculated and managed.

[0013] Step S06: Intelligent management of industrial Internet of Things production data risks: used to calculate the production data risk assessment coefficient of each industrial production equipment based on the production process primary data analysis index, production status control index, production safety primary data management index and equipment production safety optimization index of each industrial production equipment.

[0014] Step S07: Industrial Internet of Things production data risk assessment: used to obtain the production data risk assessment coefficient of each industrial production equipment, compare it with the preset production data risk assessment coefficient, and process it.

[0015] Preferably, the industrial Internet of Things network communication data collection is specifically:

[0016] Equipment production status data collection unit: collects the production efficiency, product order quantity, and product production volume of each industrial production equipment through the communication network of the industrial Internet of Things, and marks them as , , ,in =1,2,... , Expressed as The serial number of the industrial production equipment;

[0017] Equipment production safety risk data collection unit: collects the motor speed, number of failures, usage time, and service life of each industrial production equipment through the communication network of the industrial Internet of Things, and marks them as , , , .

[0018] Preferably, the industrial Internet of Things equipment production status management is specifically:

[0019] Step S001: Calculate the target equipment production throughput of each industrial production equipment, the calculation formula is:

[0020]

[0021] in Expressed as Target equipment production throughput for industrial production equipment, Expressed as The number of product orders for industrial production equipment, Expressed as The product output of each industrial production equipment, Expressed as The production efficiency of industrial production equipment, Expressed as the number of industrial production equipment;

[0022] Step S002: Calculate the weight of the target equipment production throughput of each industrial production equipment:

[0023]

[0024] Step S003: The calculation formula of the production process primary data analysis index is:

[0025]

[0026] in Expressed as A data analysis index of the production process of industrial production equipment, Expressed as The target equipment production throughput weight of each industrial production equipment, Expressed as Target equipment production throughput for industrial production equipment, Expressed as the mean production throughput of the target equipment, Expressed as a natural constant.

[0027] Preferably, the secondary regulation of the production status of the industrial Internet of Things equipment is specifically:

[0028] Step S001: Calculate the production process deviation according to the production process primary data analysis index of each industrial production equipment and the preset production process primary data analysis index:

[0029]

[0030] in Expressed as Deviations in the production process of industrial production equipment, It is expressed as a preset production process data analysis index;

[0031] Step S002: The calculation formula of the production status control index is:

[0032]

[0033] in Expressed as The production status control index of industrial production equipment;

[0034] Step S003: According to the production status control index of each industrial production equipment, sort the industrial production equipment from small to large according to the production status control index, and based on the sorted order, notify the management personnel through the industrial Internet of Things platform to manage the production efficiency of the industrial production equipment.

[0035] Preferably, the industrial Internet of Things production safety monitoring is specifically:

[0036] Step S001: Calculate the motor speed safety risk index:

[0037]

[0038] in Expressed as Motor speed safety risk indicators for industrial production equipment, Expressed as The motor speed of industrial production equipment Expressed as The service life of industrial production equipment Expressed as The length of time that industrial production equipment is used, , They are respectively represented as weight factors of motor speed and usage time, and ;

[0039] Step S002: Calculate the equipment failure safety risk index:

[0040]

[0041] in Expressed as Equipment failure safety risk indicators for industrial production equipment, Expressed as Number of failures of industrial production equipment, , They are respectively expressed as weight factors of usage time and number of failures;

[0042] Step S003: The calculation formula of the production safety primary data management index is:

[0043]

[0044] in Expressed as The production safety primary data management index of industrial production equipment, Expressed as Motor speed safety risk indicators for industrial production equipment, Expressed as Equipment failure safety risk indicators for industrial production equipment.

[0045] Preferably, the secondary optimization of industrial Internet of Things production safety is specifically as follows:

[0046] Step S001: The calculation formula of the equipment production safety optimization index is:

[0047]

[0048] in Expressed as Equipment production safety optimization index of industrial production equipment, It is expressed as the maximum value of the production safety primary data management index. It is expressed as the minimum value of the production safety primary data management index. Expressed as a natural constant;

[0049] Step S002: Compare the equipment production safety optimization index of each industrial production equipment with the preset equipment production safety optimization index. If the equipment production safety optimization index of an industrial production equipment is greater than the preset equipment production safety optimization index, it indicates that there is an abnormality in the equipment use of the industrial production equipment, and the management personnel are notified through the industrial Internet of Things platform to check.

[0050] Preferably, the calculation formula of the production data risk assessment coefficient is:

[0051]

[0052] in Expressed as The production data risk assessment coefficient of each industrial production equipment, Expressed as A data analysis index of the production process of industrial production equipment, Expressed as The production status control index of industrial production equipment, Expressed as The production safety primary data management index of industrial production equipment, Expressed as Equipment production safety optimization index of industrial production equipment.

[0053] Preferably, the industrial Internet of Things production data risk assessment is specifically as follows:

[0054] Obtain the production data risk assessment coefficient of each industrial production equipment and compare it with the preset production data risk assessment coefficient. If the production data risk assessment coefficient of an industrial production equipment is greater than the preset production data risk assessment coefficient, it indicates that there is an abnormality in the optimization management of the production task of the industrial production equipment. The abnormal production equipment number should be immediately sent to the equipment management personnel through the industrial Internet of Things platform.

[0055] Technical effects and advantages of the present invention:

[0056] The present invention provides a data management method based on the industrial Internet of Things. The production safety monitoring data of each industrial production equipment is collected through the communication network of the industrial Internet of Things. The production process data analysis index of each industrial production equipment is calculated according to the equipment production status data collection unit. The production safety data management index of each industrial production equipment is calculated according to the production safety risk data collection unit. The production data risk assessment coefficient of each industrial production equipment is further analyzed and compared with the preset production data risk assessment coefficient. If the production data risk assessment coefficient of a certain industrial production equipment is greater than the preset production data risk assessment coefficient, it indicates that there is an abnormality in the optimization management of the production task of the industrial production equipment. The abnormal production equipment number should be immediately sent to the equipment management personnel through the industrial Internet of Things platform. The industrial Internet of Things can connect and monitor all key equipment on the production line to realize comprehensive data collection. The in-depth analysis technology of the data improves the data optimization capability of the enterprise, which is beneficial for the enterprise to grasp the production process and safety status as a whole, and take measures in advance to prevent and solve them. The present invention provides a data management method based on the industrial Internet of Things. The production status of the industrial Internet of Things equipment is secondary controlled. Based on the various industrial The production process deviation of the production equipment is calculated to obtain the production status control index of each industrial production equipment. According to the production status control index of each industrial production equipment, the industrial production equipment is sorted from small to large according to the production status control index. Based on the sorted order, the management personnel are notified through the industrial Internet of Things platform to manage the production efficiency of the industrial production equipment, so that the deviation in the production process can be discovered in time. By sorting and managing the equipment, it is ensured that the equipment operates in the best state, and the real-time monitoring and optimization management of the industrial production equipment are realized to improve the operation efficiency of the equipment. The industrial Internet of Things is used for secondary optimization of production safety. According to the production safety primary data management index of each industrial production equipment, the equipment production safety optimization index of each industrial production equipment is calculated and compared with the preset equipment production safety optimization index. If the equipment production safety optimization index of a certain industrial production equipment is greater than the preset equipment production safety optimization index, it indicates that the equipment use of the industrial production equipment is abnormal. The management personnel are notified through the industrial Internet of Things platform to check. Through continuous monitoring and analysis, potential equipment production safety hazards can be discovered and dealt with in advance, the service life of the equipment can be extended, and the stability and safety of the production line can be further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic diagram of the connection of the method steps of the present invention.

[0058] Figure 2 This is a schematic diagram of the industrial Internet of Things network communication data acquisition structure of the present invention. DETAILED DESCRIPTION

[0059] 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.

[0060] See also Figure 1 As shown, the present invention provides a data management method based on the Industrial Internet of Things, including Industrial Internet of Things network communication data collection, Industrial Internet of Things equipment production status management, Industrial Internet of Things equipment production status secondary regulation, Industrial Internet of Things production safety monitoring, Industrial Internet of Things production safety secondary optimization, Industrial Internet of Things production data risk intelligent management, and Industrial Internet of Things production data risk assessment.

[0061] The industrial Internet of Things network communication data collection is connected with the industrial Internet of Things equipment production status management, the industrial Internet of Things equipment production status management is connected with the industrial Internet of Things equipment production status secondary regulation, the industrial Internet of Things equipment production status secondary regulation is connected with the industrial Internet of Things production safety monitoring, the industrial Internet of Things production safety monitoring is connected with the industrial Internet of Things production safety secondary optimization, the industrial Internet of Things production safety secondary optimization is connected with the industrial Internet of Things production data risk intelligent management, and the industrial Internet of Things production data risk intelligent management is connected with the industrial Internet of Things production data risk assessment.

[0062] See also Figure 2 As shown, the step S01: industrial Internet of Things network communication data collection is used to collect production safety monitoring data of each industrial production equipment through the communication network of the industrial Internet of Things, and the industrial Internet of Things network communication data collection includes an equipment production status data collection unit and an equipment production safety risk data collection unit.

[0063] In a possible design, the industrial Internet of Things network communication data collection is specifically:

[0064] Equipment production status data collection unit: collects the production efficiency, product order quantity, and product production volume of each industrial production equipment through the communication network of the industrial Internet of Things, and marks them as , , ,in =1,2,... , Expressed as The serial number of the industrial production equipment;

[0065] Equipment production safety risk data collection unit: collects the motor speed, number of failures, usage time, and service life of each industrial production equipment through the communication network of the industrial Internet of Things, and marks them as , , , .

[0066] The step S02: the industrial Internet of Things equipment production status management is used to receive the production safety monitoring data transmitted by the industrial Internet of Things network communication data collection step, and calculate the production process data analysis index of each industrial production equipment according to the equipment production status data collection unit.

[0067] In a possible design, the industrial Internet of Things equipment production status management is specifically:

[0068] Step S001: Calculate the target equipment production throughput of each industrial production equipment, the calculation formula is:

[0069]

[0070] in Expressed as Target equipment production throughput for industrial production equipment, Expressed as The number of product orders for industrial production equipment, Expressed as The product output of each industrial production equipment, Expressed as The production efficiency of industrial production equipment, Expressed as the number of industrial production equipment;

[0071] Step S002: Calculate the weight of the target equipment production throughput of each industrial production equipment:

[0072]

[0073] Step S003: The calculation formula of the production process primary data analysis index is:

[0074]

[0075] in Expressed as A data analysis index of the production process of industrial production equipment, Expressed as The target equipment production throughput weight of each industrial production equipment, Expressed as Target equipment production throughput for industrial production equipment, Expressed as the mean production throughput of the target equipment, Expressed as a natural constant.

[0076] The step S03: secondary regulation of the production status of industrial Internet of Things equipment is used to receive the primary data analysis index of the production process transmitted by the production status management step of the industrial Internet of Things equipment, and calculate and manage the production status regulation index of each industrial production equipment based on the production process deviation of each industrial production equipment.

[0077] In a possible design, the secondary regulation of the production status of the industrial Internet of Things equipment is specifically as follows:

[0078] Step S001: Calculate the production process deviation according to the production process primary data analysis index of each industrial production equipment and the preset production process primary data analysis index:

[0079]

[0080] in Expressed as Deviations in the production process of industrial production equipment, It is expressed as a preset production process data analysis index;

[0081] Step S002: The calculation formula of the production status control index is:

[0082]

[0083] in Expressed as The production status control index of industrial production equipment;

[0084] Step S003: According to the production status control index of each industrial production equipment, sort the industrial production equipment from small to large according to the production status control index, and based on the sorted order, notify the management personnel through the industrial Internet of Things platform to manage the production efficiency of the industrial production equipment.

[0085] The step S04: the industrial Internet of Things production safety monitoring is used to receive the production safety monitoring data transmitted by the industrial Internet of Things network communication data collection step, and calculate the production safety primary data management index of each industrial production equipment according to the production safety risk data collection unit.

[0086] In a possible design, the industrial Internet of Things production safety monitoring is specifically:

[0087] Step S001: Calculate the motor speed safety risk index:

[0088]

[0089] in Expressed as Motor speed safety risk indicators for industrial production equipment, Expressed as The motor speed of industrial production equipment Expressed as The service life of industrial production equipment Expressed as The length of time that industrial production equipment is used, , They are respectively represented as weight factors of motor speed and usage time, and ;

[0090] Step S002: Calculate the equipment failure safety risk index:

[0091]

[0092] in Expressed as Equipment failure safety risk indicators for industrial production equipment, Expressed as Number of failures of industrial production equipment, , They are respectively expressed as weight factors of usage time and number of failures;

[0093] Step S003: The calculation formula of the production safety primary data management index is:

[0094]

[0095] in Expressed as The production safety primary data management index of industrial production equipment, Expressed as Motor speed safety risk indicators for industrial production equipment, Expressed as Equipment failure safety risk indicators for industrial production equipment.

[0096] The step S05: Industrial Internet of Things production safety secondary optimization is used to receive the production safety primary data management index of each industrial production equipment transmitted by the industrial Internet of Things production safety monitoring step, calculate the equipment production safety optimization index of each industrial production equipment, and manage it.

[0097] In a possible design, the secondary optimization of industrial Internet of Things production safety is specifically as follows:

[0098] Step S001: The calculation formula of the equipment production safety optimization index is:

[0099]

[0100] in Expressed as Equipment production safety optimization index of industrial production equipment, It is expressed as the maximum value of the production safety primary data management index. It is expressed as the minimum value of the production safety primary data management index. Expressed as a natural constant;

[0101] Step S002: Compare the equipment production safety optimization index of each industrial production equipment with the preset equipment production safety optimization index. If the equipment production safety optimization index of an industrial production equipment is greater than the preset equipment production safety optimization index, it indicates that there is an abnormality in the equipment use of the industrial production equipment, and the management personnel are notified through the industrial Internet of Things platform to check.

[0102] The step S06: the intelligent management of industrial Internet of Things production data risk is used to calculate the production data risk assessment coefficient of each industrial production equipment based on the production process primary data analysis index, production status control index, production safety primary data management index and equipment production safety optimization index of each industrial production equipment.

[0103] In a possible design, the calculation formula of the production data risk assessment coefficient is:

[0104]

[0105] in Expressed as The production data risk assessment coefficient of each industrial production equipment, Expressed as A data analysis index of the production process of industrial production equipment, Expressed as The production status control index of industrial production equipment, Expressed as The production safety primary data management index of industrial production equipment, Expressed as Equipment production safety optimization index of industrial production equipment.

[0106] The step S07: Industrial Internet of Things production data risk assessment is used to obtain the production data risk assessment coefficient of each industrial production equipment, compare it with the preset production data risk assessment coefficient, and process it.

[0107] In a possible design, the industrial Internet of Things production data risk assessment is specifically as follows:

[0108] Obtain the production data risk assessment coefficient of each industrial production equipment and compare it with the preset production data risk assessment coefficient. If the production data risk assessment coefficient of an industrial production equipment is greater than the preset production data risk assessment coefficient, it indicates that there is an abnormality in the optimization management of the production task of the industrial production equipment. The abnormal production equipment number should be immediately sent to the equipment management personnel through the industrial Internet of Things platform.

[0109] In this embodiment, it should be specifically explained that the present invention collects production safety monitoring data of each industrial production equipment through the communication network of the Industrial Internet of Things, calculates the production process data analysis index of each industrial production equipment according to the equipment production status data collection unit, and calculates the production safety data management index of each industrial production equipment according to the production safety risk data collection unit. The production data risk assessment coefficient of each industrial production equipment is further analyzed and compared with the preset production data risk assessment coefficient. If the production data risk assessment coefficient of a certain industrial production equipment is greater than the preset production data risk assessment coefficient, it indicates that there is an abnormality in the optimization management of the production task of the industrial production equipment. The abnormal production equipment number should be immediately sent to the equipment management personnel through the Industrial Internet of Things platform. The Industrial Internet of Things can connect and monitor all key equipment on the production line to realize comprehensive data collection. In-depth analysis technology of the data improves the data optimization capability of the enterprise, which is beneficial for the enterprise to grasp the production process and safety status as a whole, and take measures in advance to prevent and solve them.

[0110] In this embodiment, it should be specifically explained that the present invention utilizes the secondary regulation of the production status of industrial Internet of Things equipment, calculates the production status regulation index of each industrial production equipment based on the production process deviation of each industrial production equipment, and sorts each industrial production equipment from small to large according to the production status regulation index of each industrial production equipment. Based on the sorted order, the management personnel are notified through the industrial Internet of Things platform to manage the production efficiency of the industrial production equipment, so that deviations in the production process can be discovered in time. By sorting and managing the equipment, it is ensured that the equipment operates in the best state, and the real-time monitoring and optimization management of the industrial production equipment are realized to improve the operation efficiency of the equipment. The industrial Internet of Things production safety is optimized by secondary optimization, and the equipment production safety optimization index of each industrial production equipment is calculated according to the production safety primary data management index of each industrial production equipment, and compared with the preset equipment production safety optimization index. If the equipment production safety optimization index of a certain industrial production equipment is greater than the preset equipment production safety optimization index, it indicates that there is an abnormality in the use of the equipment of the industrial production equipment. The management personnel are notified through the industrial Internet of Things platform to check. Through continuous monitoring and analysis, potential equipment production safety hazards can be discovered and handled in advance, the service life of the equipment can be extended, and the stability and safety of the production line can be further improved.

[0111] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A data management method based on industrial Internet of Things, characterized in that: include: Step S01: Industrial Internet of Things network communication data collection: The production safety monitoring data of each industrial production equipment is collected through the communication network of the Industrial Internet of Things. The Industrial Internet of Things network communication data collection includes an equipment production status data collection unit and an equipment production safety risk data collection unit; Step S02: Industrial Internet of Things equipment production status management: calculate the production process data analysis index of each industrial production equipment based on the data collected by the equipment production status data collection unit; The industrial Internet of Things equipment production status management is specifically as follows: Step S21: Calculate the target equipment production throughput of each industrial production equipment, and the calculation formula is: in Expressed as Target equipment production throughput for industrial production equipment, Expressed as The number of product orders for industrial production equipment, Expressed as The product output of each industrial production equipment, Expressed as The production efficiency of industrial production equipment, Expressed as the number of industrial production equipment; Step S22: Calculate the weight of the target equipment production throughput of each industrial production equipment: Step S23: The calculation formula of the production process primary data analysis index is: in Expressed as A data analysis index of the production process of industrial production equipment, Expressed as The target equipment production throughput weight of each industrial production equipment, Expressed as Target equipment production throughput for industrial production equipment, Expressed as the mean production throughput of the target equipment, Expressed as a natural constant; Step S03: Secondary regulation of the production status of industrial IoT equipment: based on the production process deviation of each industrial production equipment, the production status regulation index of each industrial production equipment is calculated and managed; The secondary regulation of the production status of the industrial Internet of Things equipment is specifically as follows: Step S31: Calculate the production process deviation according to the production process primary data analysis index of each industrial production equipment and the preset production process primary data analysis index: in Expressed as Deviations in the production process of industrial production equipment, It is expressed as a preset production process data analysis index; Step S32: The calculation formula of the production status control index is: in Expressed as The production status control index of industrial production equipment; Step S33: sorting the industrial production equipment from small to large according to the production status control index of each industrial production equipment, and notifying the management personnel through the industrial Internet of Things platform to manage the production efficiency of the industrial production equipment based on the sorted order; Step S04: Industrial Internet of Things production safety monitoring: Calculate the production safety primary data management index of each industrial production equipment based on the data collected by the production safety risk data collection unit; The industrial Internet of Things production safety monitoring is specifically: Step S41: Calculate the motor speed safety risk index: in Expressed as Motor speed safety risk indicators for industrial production equipment, Expressed as The motor speed of industrial production equipment Expressed as The service life of industrial production equipment Expressed as The length of time that industrial production equipment is used, , They are respectively represented as weight factors of motor speed and usage time, and ; Step S42: Calculate the equipment failure safety risk index: in Expressed as Equipment failure safety risk indicators for industrial production equipment, Expressed as Number of failures of industrial production equipment, , They are respectively expressed as weight factors of usage time and number of failures; Step S43: The calculation formula of the production safety primary data management index is: in Expressed as The production safety primary data management index of industrial production equipment, Expressed as Motor speed safety risk indicators for industrial production equipment, Expressed as Equipment failure safety risk indicators for industrial production equipment; Step S05: Industrial Internet of Things production safety secondary optimization: According to the production safety primary data management index of each industrial production equipment, the equipment production safety optimization index of each industrial production equipment is calculated and managed; The secondary optimization of industrial Internet of Things production safety is specifically as follows: Step S51: The calculation formula of the equipment production safety optimization index is: in Expressed as Equipment production safety optimization index of industrial production equipment, It is expressed as the maximum value of the production safety primary data management index. It is expressed as the minimum value of the production safety primary data management index. Expressed as a natural constant; Step S52: comparing the equipment production safety optimization index of each industrial production equipment with the preset equipment production safety optimization index; if the equipment production safety optimization index of a certain industrial production equipment is greater than the preset equipment production safety optimization index, it indicates that there is an abnormality in the use of the industrial production equipment, and the management personnel are notified through the industrial Internet of Things platform to check; Step S06: Intelligent management of industrial IoT production data risk: based on the production process primary data analysis index, production status control index, production safety primary data management index and equipment production safety optimization index of each industrial production equipment, the production data risk assessment coefficient of each industrial production equipment is calculated; Step S07: Industrial Internet of Things production data risk assessment: obtain the production data risk assessment coefficient of each industrial production equipment, compare it with the preset production data risk assessment coefficient, and process it.

2. The data management method based on industrial Internet of Things according to claim 1 is characterized in that: The industrial Internet of Things network communication data collection is specifically as follows: Equipment production status data collection unit: collects the production efficiency, product order quantity, and product production volume of each industrial production equipment through the communication network of the industrial Internet of Things, and marks them as , , ,in =1,2,... , Expressed as The serial number of the industrial production equipment; Equipment production safety risk data collection unit: collects the motor speed, number of failures, usage time, and service life of each industrial production equipment through the communication network of the industrial Internet of Things, and marks them as , , , .

3. The data management method based on industrial Internet of Things according to claim 1 is characterized in that: The calculation formula of the production data risk assessment coefficient is: in Expressed as The production data risk assessment coefficient of each industrial production equipment, Expressed as A data analysis index of the production process of industrial production equipment, Expressed as The production status control index of industrial production equipment, Expressed as The production safety primary data management index of industrial production equipment, Expressed as Equipment production safety optimization index of industrial production equipment.

4. The data management method based on industrial Internet of Things according to claim 1 is characterized in that: The industrial Internet of Things production data risk assessment is specifically as follows: Obtain the production data risk assessment coefficient of each industrial production equipment and compare it with the preset production data risk assessment coefficient. If the production data risk assessment coefficient of an industrial production equipment is greater than the preset production data risk assessment coefficient, it indicates that there is an abnormality in the optimization management of the production task of the industrial production equipment. The abnormal production equipment number should be immediately sent to the equipment management personnel through the industrial Internet of Things platform.

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