Monitoring management platform based on digital operation

Abstract

The invention relates to the field of digital operation monitoring management, in particular to a digital operation monitoring management platform, which comprises a personnel authorization module, a data acquisition module, a network data analysis module, an equipment management module and an early warning processing module, the network data analysis module is used for receiving network data information and analyzing the network data information respectively, the personnel authorization module carries out authority distribution according to personal information corresponding to each worker, and the digital operation monitoring management platform can provide comprehensive operation data and deep analysis results, provides a scientific and accurate basis for enterprise decision making, and improves the enterprise safety. Therefore, the decision quality and success rate are improved.

Description

Technical Field

[0001] The present invention relates to the field of digital operation monitoring and management, and in particular to a digital operation monitoring and management platform. Background Art

[0002] In today's highly competitive market environment, enterprises need to continuously improve their competitiveness. Traditional operation management methods often rely on manual operation and experience judgment, which is inefficient and prone to errors. With the development of digital technology, enterprises realize that through digital transformation, they can optimize operation processes, improve decision-making speed and accuracy, and thus stand out in market competition. Traditional manufacturing enterprises are facing challenges such as cost control, production efficiency improvement and product quality improvement. The digital operation monitoring and management platform can comprehensively monitor and optimize production equipment, material supply and personnel operations, which helps enterprises to cope with these challenges and integrate the data of various departments within the enterprise into a unified platform to achieve data sharing and collaborative work. Traditional operation management methods can usually only perform post-analysis, and it is difficult to monitor and warn the operation process in real time. For example, for equipment failure, problems are often discovered after the equipment has stopped running, which will lead to production interruptions, increased maintenance costs and other consequences. With the help of modern information technology, the digital operation monitoring and management platform can monitor the operation status of equipment and the execution of business processes in real time. Once an abnormality occurs, it can immediately issue an early warning, so that enterprises can take timely measures to avoid losses. Summary of the invention

[0003] In order to solve the technical problems raised by the above background technology, the present invention provides a digital operation monitoring and management platform.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] The present invention is a digital operation monitoring and management platform, which includes a personnel authorization module, a data acquisition module, a network data analysis module, an equipment management module, an early warning processing module and a platform data center.

[0006] The personnel authorization module allocates permissions based on the personal information of each staff member and logs in to the management platform through a digital password. The specific acquisition method is as follows:

[0007] The output end of the personnel authorization module is connected to the input end of the platform data center. Each staff member uploads personal information to the platform data center. The personal information includes name, position information and preset original password. The platform data center receives the personal information, obtains the personal information to generate a personal information database, and allocates the authority of each staff member according to the position information. The administrator has the highest authority and conducts comprehensive management of the platform, including user management, authority allocation and system settings. The department manager is responsible for managing the business data and personnel authority of the department and can view and analyze the relevant monitoring data and reports of the department. Ordinary employees are granted specific data access and operation permissions according to their job responsibilities and can only view and process information related to their business. The corresponding operation interface is generated according to the platform operation permissions granted by each staff member. Each staff member enters his or her original password through the computer and mobile phone, extracts the preset original password of the platform data center, and matches the personal original password with the preset original password. If the match is successful, the corresponding platform operation interface is entered. If the match is unsuccessful, the interface is exited. If the password is entered incorrectly more than three times, the interface will be locked.

[0008] The data acquisition module acquires various data information according to the connection information port, and the specific acquisition method is as follows:

[0009] The memory usage rate in the IT system is monitored within a specific period of time through the resource monitor, and various memory usage parameters within the specific period of time are collected;

[0010] Use the traffic analyzer to monitor the network traffic in a specific period in real time and collect the network traffic parameters in real time;

[0011] Use high-definition cameras to monitor each link on the production line in real time and obtain the operating status parameters of each running equipment;

[0012] The output end of the data acquisition module is connected to the input end of the network data analysis module and the device management module, and each memory usage parameter and each network traffic parameter are sent to the network data analysis module, and the operating status parameter of each operating device is sent to the device management module.

[0013] The network data analysis module is used to receive various data information and analyze them separately. The specific acquisition process is as follows:

[0014] The input end of the network data analysis module is connected to the output end of the platform data center, and the output end of the network data analysis module is connected to the input end of the early warning processing module to analyze each network traffic parameter, specifically:

[0015] D1: Monitor the current network bandwidth in real time, obtain the current actual network bandwidth value, mark it as KL, extract the total network bandwidth value KA of the platform data center, and calculate it using the formula Get the bandwidth utilization KJ;

[0016] D2: Set the data size of the data packet to GH, set the transmission time from the data sender to the receiver, record the sending time of the data packet and cut off the receiving time of the data packet, subtract the sending time from the receiving time to get the data transmission time, mark it as DN, and calculate it using the formula Get the data packet transmission rate GD;

[0017] D3: extract the network traffic parameters within a specific period of time from the data acquisition module, calculate the mean of the obtained network traffic parameters to obtain the average traffic value, marked as KP;

[0018] D4: Calculate the bandwidth utilization, data packet transmission rate and average traffic value obtained, using the formula The flow operation value GPI is obtained, where F1, F2 and F3 are preset proportional coefficients. The preset flow operation value of the data center is extracted, and the actual flow operation value is compared with the preset flow operation value. If the actual flow operation value is less than the preset flow operation value, a flow abnormality signal is generated and sent to the early warning processing module.

[0019] Analyze each financial information, extract each historical cost parameter value in each financial information, divide each historical cost parameter value into several time-sharing cost parameter values, arrange several time-sharing cost parameter values ​​in chronological order and connect them in sequence to obtain a cost change graph, obtain the maximum cost and the minimum cost according to the cost change graph, mark them as HF and HK respectively, calculate the average cost of each time-sharing cost parameter value, mark it as HD, extract the starting time point of the historical cost of the platform data center, and then cut off the time point of the current system, mark it as the end time point, make a difference between the starting time point and the end time point to obtain the cost operation period, mark it as HS, calculate the maximum cost, minimum cost, average cost and cost operation period, and use the formula to calculate The cost fluctuation value is obtained, where D1, D2, D3 and D4 are respectively the preset proportional coefficients. The preset cost fluctuation threshold of the data center is extracted, and the actual cost fluctuation value is compared with the preset cost fluctuation threshold. If the actual cost fluctuation value is greater than the preset cost fluctuation threshold, it means that the cost fluctuation is large, and a fluctuation signal is generated and sent to the corresponding early warning processing module.

[0020] The device management module analyzes the operating status parameters of each running device according to the received parameters. The specific acquisition method is as follows:

[0021] The output end of the equipment management module is connected to the input end of the early warning processing module to establish a file for each device. The file content includes the equipment name, scrap age, maintenance period, production date, purchase date and installation location. The file content is sent to the platform data center. The platform data center receives the file content and classifies each device into types, including production equipment, office equipment and testing equipment. Each type of equipment is obtained, and a unique code is generated according to the file content of each type of equipment. The production date and scrap age corresponding to each type of equipment in the platform data center are extracted, and the production date and scrap age corresponding to each type of equipment are added to obtain the scrap time point corresponding to each type of equipment. As of the current system At a certain time point, the current time point of each type of equipment and the corresponding scrapping time point are subtracted to obtain the scrapping value. If the scrapping value is a positive number, it means that the corresponding equipment has exceeded the scrapping age, and it is marked as equipment to be scrapped. A processing signal is generated and sent to the early warning processing module, and the unique code corresponding to the equipment to be scrapped is obtained. The equipment to be scrapped is eliminated at the platform center according to the unique code, and the corresponding maintenance time period and the last maintenance time point of each type of equipment set in the platform data center are extracted. The corresponding maintenance time period and the last maintenance time point of each type of equipment are added together to obtain the current maintenance date of each type of equipment, and each type of equipment that currently needs maintenance is marked as maintenance equipment, and a maintenance signal is generated and sent to the corresponding early warning processing module.

[0022] The early warning processing module processes the signals sent by each module separately. The specific acquisition process is as follows:

[0023] The output end of the early warning processing module is connected to the input end of the platform data center. When receiving the abnormal flow signal, the early warning processing module sends the abnormal flow signal to the monitoring management platform. The monitoring management platform obtains the current external network congestion flow value through the flow analyzer, extracts the preset external network congestion flow threshold of the data center, and compares the actual external network congestion flow value with the preset external network congestion flow threshold. If the actual external network congestion flow value is greater than the preset external network congestion flow threshold, it is marked as a traffic congestion port. The monitoring management platform generates a clearing instruction and sends it to the corresponding processing terminal. The processing terminal reduces the current data transmission rate, restricts the access of specific IP addresses, and relieves the current network pressure.

[0024] Upon receiving the fluctuation signal, the fluctuation signal is sent to the monitoring management platform, which generates a control instruction and sends it to the corresponding cost control terminal. The cost control terminal receives the control instruction and takes cost control measures, including cutting unnecessary expenses, optimizing procurement processes and reducing inventory levels;

[0025] After receiving the maintenance signal, the maintenance signal is sent to the monitoring and management platform. The monitoring and management platform obtains the location information of the corresponding equipment through the positioning sensor, takes the equipment location as the origin, obtains the mobile terminal positioning of each maintenance personnel within the radius, connects the origin and the mobile terminal positioning of each maintenance personnel, obtains each maintenance distance, selects the minimum distance value, marks the corresponding staff as the personnel to be maintained, and the monitoring and management platform generates a maintenance instruction and sends it to the corresponding personnel to be maintained.

[0026] Compared with the prior art, the beneficial effects of the present invention are: dynamically adjusting bandwidth allocation to different business departments according to network traffic conditions in different time periods, reasonably allocating human resources according to the analysis of human resource requirements of each project, ensuring that resources are maximized, and avoiding idle or overused resources. The digital operation monitoring and management platform helps to digitize business processes and standardize management. By setting standard processes and automated monitoring mechanisms, errors and delays caused by manual intervention are reduced. Real-time monitoring and fault prediction of equipment and systems can be carried out in a timely manner. Compared with traditional maintenance after the failure occurs, preventive maintenance can greatly reduce the losses caused by sudden equipment failures, including production interruption losses, equipment maintenance costs and safety accident losses. Reasonable use of resources can directly reduce costs. Through precise inventory management, inventory backlogs can be reduced, and inventory costs can be reduced; network bandwidth allocation can be optimized to avoid unnecessary bandwidth rental fees, etc. Standardized and automated business processes reduce dependence on manpower, and some repetitive and regular work can be automatically completed by the platform. Enterprises can streamline personnel or reallocate human resources to more valuable jobs, thereby reducing labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0028] Figure 1 It is a principle block diagram of the present invention.

[0029] Figure 2 This is a cost change diagram of the present invention. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0031] like Figure 1-2 As shown, the present invention is a digital operation monitoring and management platform, including a personnel authorization module, a data acquisition module, a network data analysis module, an equipment management module, an early warning processing module and a platform data center.

[0032] The personnel authorization module allocates permissions based on the personal information of each staff member and logs in to the management platform through a digital password. The specific acquisition method is as follows:

[0033] The output end of the personnel authorization module is connected to the input end of the platform data center. Each staff member uploads personal information to the platform data center. The personal information includes name, position information and preset original password. The platform data center receives the personal information, obtains the personal information to generate a personal information database, and allocates the authority of each staff member according to the position information. The administrator has the highest authority and conducts comprehensive management of the platform, including user management, authority allocation and system settings. The department manager is responsible for managing the business data and personnel authority of the department and can view and analyze the relevant monitoring data and reports of the department. Ordinary employees are granted specific data access and operation permissions according to their job responsibilities and can only view and process information related to their business. The corresponding operation interface is generated according to the platform operation permissions granted by each staff member. Each staff member enters his or her original password through the computer and mobile phone, extracts the preset original password of the platform data center, and matches the personal original password with the preset original password. If the match is successful, the corresponding platform operation interface is entered. If the match is unsuccessful, the interface is exited. If the password is entered incorrectly more than three times, the interface will be locked.

[0034] The data acquisition module acquires various data information according to the connection information port, and the specific acquisition method is as follows:

[0035] The memory usage rate in the IT system is monitored within a specific period of time through the resource monitor, and various memory usage parameters within the specific period of time are collected;

[0036] Use the traffic analyzer to monitor the network traffic in a specific period in real time and collect the network traffic parameters in real time;

[0037] Use high-definition cameras to monitor each link on the production line in real time and obtain the operating status parameters of each running equipment;

[0038] The output end of the data acquisition module is connected to the input end of the network data analysis module and the device management module, and each memory usage parameter and each network traffic parameter are sent to the network data analysis module, and the operating status parameter of each operating device is sent to the device management module.

[0039] The network data analysis module is used to receive various data information and analyze them separately. The specific acquisition process is as follows:

[0040] The input end of the network data analysis module is connected to the output end of the platform data center, and the output end of the network data analysis module is connected to the input end of the early warning processing module to analyze each network traffic parameter, specifically:

[0041] D1: Monitor the current network bandwidth in real time, obtain the current actual network bandwidth value, mark it as KL, extract the total network bandwidth value KA of the platform data center, and calculate it using the formula Get the bandwidth utilization KJ;

[0042] D2: Set the data size of the data packet to GH, set the transmission time from the data sender to the receiver, record the sending time of the data packet and cut off the receiving time of the data packet, subtract the sending time from the receiving time to get the data transmission time, mark it as DN, and calculate it using the formula Get the data packet transmission rate GD;

[0043] D3: extract the network traffic parameters within a specific period of time from the data acquisition module, calculate the mean of the obtained network traffic parameters to obtain the average traffic value, marked as KP;

[0044] D4: Calculate the bandwidth utilization, data packet transmission rate and average traffic value obtained, using the formula The flow operation value GPI is obtained, where F1, F2 and F3 are preset proportional coefficients. The preset flow operation value of the data center is extracted, and the actual flow operation value is compared with the preset flow operation value. If the actual flow operation value is less than the preset flow operation value, a flow abnormality signal is generated and sent to the early warning processing module.

[0045] Analyze each financial information, extract each historical cost parameter value in each financial information, divide each historical cost parameter value into several time-sharing cost parameter values, arrange several time-sharing cost parameter values ​​in chronological order and connect them in sequence to obtain a cost change graph, obtain the maximum cost and the minimum cost according to the cost change graph, mark them as HF and HK respectively, calculate the average cost of each time-sharing cost parameter value, mark it as HD, extract the starting time point of the historical cost of the platform data center, and then cut off the time point of the current system, mark it as the end time point, make a difference between the starting time point and the end time point to obtain the cost operation period, mark it as HS, calculate the maximum cost, minimum cost, average cost and cost operation period, and use the formula to calculate The cost fluctuation value is obtained, where D1, D2, D3 and D4 are respectively the preset proportional coefficients. The preset cost fluctuation threshold of the data center is extracted, and the actual cost fluctuation value is compared with the preset cost fluctuation threshold. If the actual cost fluctuation value is greater than the preset cost fluctuation threshold, it means that the cost fluctuation is large, and a fluctuation signal is generated and sent to the corresponding early warning processing module.

[0046] The device management module analyzes the operating status parameters of each running device according to the received parameters. The specific acquisition method is as follows:

[0047] The output end of the equipment management module is connected to the input end of the early warning processing module to establish a file for each device. The file content includes the equipment name, scrap age, maintenance period, production date, purchase date and installation location. The file content is sent to the platform data center. The platform data center receives the file content and classifies each device into types, including production equipment, office equipment and testing equipment. Each type of equipment is obtained, and a unique code is generated according to the file content of each type of equipment. The production date and scrap age corresponding to each type of equipment in the platform data center are extracted, and the production date and scrap age corresponding to each type of equipment are added to obtain the scrap time point corresponding to each type of equipment. As of the current system At a certain time point, the current time point of each type of equipment and the corresponding scrapping time point are subtracted to obtain the scrapping value. If the scrapping value is a positive number, it means that the corresponding equipment has exceeded the scrapping age, and it is marked as equipment to be scrapped. A processing signal is generated and sent to the early warning processing module, and the unique code corresponding to the equipment to be scrapped is obtained. The equipment to be scrapped is eliminated at the platform center according to the unique code, and the corresponding maintenance time period and the last maintenance time point of each type of equipment set in the platform data center are extracted. The corresponding maintenance time period and the last maintenance time point of each type of equipment are added together to obtain the current maintenance date of each type of equipment, and each type of equipment that currently needs maintenance is marked as maintenance equipment, and a maintenance signal is generated and sent to the corresponding early warning processing module.

[0048] The early warning processing module processes the signals sent by each module separately. The specific acquisition process is as follows:

[0049] The output end of the early warning processing module is connected to the input end of the platform data center. When receiving the abnormal flow signal, the early warning processing module sends the abnormal flow signal to the monitoring management platform. The monitoring management platform obtains the current external network congestion flow value through the flow analyzer, extracts the preset external network congestion flow threshold of the data center, and compares the actual external network congestion flow value with the preset external network congestion flow threshold. If the actual external network congestion flow value is greater than the preset external network congestion flow threshold, it is marked as a traffic congestion port. The monitoring management platform generates a clearing instruction and sends it to the corresponding processing terminal. The processing terminal reduces the current data transmission rate, restricts the access of specific IP addresses, and relieves the current network pressure.

[0050] Upon receiving the fluctuation signal, the fluctuation signal is sent to the monitoring management platform, which generates a control instruction and sends it to the corresponding cost control terminal. The cost control terminal receives the control instruction and takes cost control measures, including cutting unnecessary expenses, optimizing procurement processes and reducing inventory levels;

[0051] After receiving the maintenance signal, the maintenance signal is sent to the monitoring and management platform. The monitoring and management platform obtains the location information of the corresponding equipment through the positioning sensor, takes the equipment location as the origin, obtains the mobile terminal positioning of each maintenance personnel within the radius, connects the origin and the mobile terminal positioning of each maintenance personnel, obtains each maintenance distance, selects the minimum distance value, marks the corresponding staff as the personnel to be maintained, and the monitoring and management platform generates a maintenance instruction and sends it to the corresponding personnel to be maintained.

[0052] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. Based on the digital operation monitoring and management platform, it includes personnel authorization module, data collection module, network data analysis module, early warning processing module and platform data center, characterized in that: Also includes a device management module; The equipment management module analyzes the operating status parameters of each running equipment according to the received data. The output end of the equipment management module is connected to the input end of the early warning processing module to establish a file for each equipment and send the file content to the platform data center. The platform data center receives the file content and classifies each equipment into different types to obtain each type of equipment. A unique code is generated according to the file content of each type of equipment, and the production date and scrap age corresponding to each type of equipment in the platform data center are extracted. The production date and scrap age corresponding to each type of equipment are added together to obtain the scrap time point corresponding to each type of equipment. As of the current time point of the system, the current time point of each type of equipment and the corresponding scrap time point are added together. The scrap value is obtained by subtraction. If the scrap value is a positive number, it means that the corresponding equipment has exceeded the scrap age. It is marked as equipment to be scrapped, and a processing signal is generated and sent to the early warning processing module. The unique code corresponding to the equipment to be scrapped is obtained, and the equipment to be scrapped is eliminated at the platform center according to the unique code. The corresponding maintenance time period and the last maintenance time point of each type of equipment set in the platform data center are extracted, and the corresponding maintenance time period and the last maintenance time point of each type of equipment are added to obtain the current maintenance date of each type of equipment. Each type of equipment that currently needs maintenance is marked as maintenance equipment, and a maintenance signal is generated and sent to the corresponding early warning processing module. The types of equipment include production equipment, office equipment, and testing equipment.

2. According to claim 1, a digital operation monitoring and management platform is characterized in that: The network data analysis module is used to receive various data information and analyze them separately. The specific process is as follows: The input end of the network data analysis module is connected to the output end of the platform data center, and the output end of the network data analysis module is connected to the input end of the early warning processing module to analyze each network traffic parameter, specifically: D1: Monitor the current network bandwidth in real time, obtain the current actual network bandwidth value, mark it as KL, extract the total network bandwidth value KA of the platform data center, and calculate it using the formula Get the bandwidth utilization KJ; D2: Set the data size of the data packet to GH, set the transmission time from the data sender to the receiver, record the sending time of the data packet and cut off the receiving time of the data packet, subtract the sending time from the receiving time to get the data transmission time, mark it as DN, and calculate it using the formula Get the data packet transmission rate GD; D3: extract the network traffic parameters within a specific period of time from the data acquisition module, calculate the mean of the obtained network traffic parameters to obtain the average traffic value, marked as KP; D4: Calculate the bandwidth utilization, data packet transmission rate and average traffic value obtained using the formula Get the flow operation value GPI, where F1, F2 and F3 are preset proportional coefficients, extract the preset flow operation value of the data center, compare the actual flow operation value with the preset flow operation value, and if the actual flow operation value is less than the preset flow operation value, generate a flow abnormality signal and send it to the early warning processing module; Analyze each financial information, extract each historical cost parameter value in each financial information, divide each historical cost parameter value into several time-sharing cost parameter values, arrange several time-sharing cost parameter values ​​in chronological order and connect them in sequence to obtain a cost change graph, obtain the maximum cost and the minimum cost according to the cost change graph, mark them as HF and HK respectively, calculate the average cost of each time-sharing cost parameter value, mark it as HD, extract the starting time point of the historical cost of the platform data center, and then cut off the time point of the current system, mark it as the end time point, make a difference between the starting time point and the end time point to obtain the cost operation period, mark it as HS, calculate the maximum cost, minimum cost, average cost and cost operation period, and use the formula to calculate The cost fluctuation value is obtained, where D1, D2, D3 and D4 are respectively the preset proportional coefficients. The preset cost fluctuation threshold of the data center is extracted, and the actual cost fluctuation value is compared with the preset cost fluctuation threshold. If the actual cost fluctuation value is greater than the preset cost fluctuation threshold, it means that the cost fluctuation is large, and a fluctuation signal is generated and sent to the corresponding early warning processing module.

3. According to the digital operation monitoring and management platform of claim 1, it is characterized in that: The early warning processing module processes the signals sent by each module separately. The specific process is as follows: The output end of the early warning processing module is connected to the input end of the platform data center. When receiving the abnormal flow signal, the early warning processing module sends the abnormal flow signal to the monitoring management platform. The monitoring management platform obtains the current external network congestion flow value through the flow analyzer, extracts the preset external network congestion flow threshold of the data center, and compares the actual external network congestion flow value with the preset external network congestion flow threshold. If the actual external network congestion flow value is greater than the preset external network congestion flow threshold, it is marked as a traffic congestion port. The monitoring management platform generates a clearing instruction and sends it to the corresponding processing terminal. The processing terminal reduces the current data transmission rate and restricts access to specific IP addresses. Upon receiving the fluctuation signal, the fluctuation signal is sent to the monitoring management platform, which generates a control instruction and sends it to the corresponding cost control terminal. The cost control terminal receives the control instruction and takes cost control measures, including cutting unnecessary expenses, optimizing procurement processes and reducing inventory levels; After receiving the maintenance signal, the maintenance signal is sent to the monitoring and management platform. The monitoring and management platform obtains the location information of the corresponding equipment through the positioning sensor, takes the equipment location as the origin, obtains the mobile terminal positioning of each maintenance personnel within the radius, connects the origin and the mobile terminal positioning of each maintenance personnel, obtains each maintenance distance, selects the minimum distance value, marks the corresponding staff as the personnel to be maintained, and the monitoring and management platform generates a maintenance instruction and sends it to the corresponding personnel to be maintained.

4. According to the digital operation monitoring and management platform of claim 1, it is characterized in that: The personnel authorization module allocates permissions based on the personal information of each staff member and logs in to the management platform through a digital password. The specific method is as follows: The output end of the personnel authorization module is connected to the input end of the platform data center. Each staff member uploads personal information to the platform data center. The personal information includes name, position information and preset original password. The platform data center receives the personal information, obtains the personal information to generate a personal information database, and allocates the authority of each staff member according to the position information. The administrator has the highest authority and conducts comprehensive management of the platform, including user management, authority allocation and system settings. The department manager is responsible for managing the business data and personnel authority of the department, viewing and analyzing the relevant monitoring data and reports of the department. Ordinary employees are granted specific data access and operation permissions according to their job responsibilities and can only view and process information related to their business. The corresponding operation interface is generated according to the platform operation permissions granted by each staff member. Each staff member enters his or her original password through the computer and mobile phone, extracts the preset original password of the platform data center, and matches the personal original password with the preset original password. If the match is successful, the corresponding platform operation interface is entered. If the match is unsuccessful, the interface is exited. If the password is entered incorrectly more than three times, the interface will be locked.

5. According to the digital operation monitoring and management platform of claim 1, it is characterized in that: The data acquisition module acquires various data information according to the connection information port, and the specific method is as follows: The memory usage rate in the IT system is monitored during a specific period of time through a resource monitor, and various memory usage parameters during the specific period of time are collected; the network traffic during a specific period of time is monitored in real time through a traffic analyzer, and various network traffic parameters are collected in real time; each link on the production line is monitored in real time through a high-definition camera, and the operating status parameters of each operating device are obtained; The output end of the data acquisition module is connected to the input end of the network data analysis module and the device management module, and each memory usage parameter and each network traffic parameter are sent to the network data analysis module, and the operating status parameter of each operating device is sent to the device management module.

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