Operation and maintenance data processing method and system based on cloud service

Abstract

The present invention relates to the field of equipment maintenance, and discloses a cloud service-based operation and maintenance data processing method and system, wherein an operation and maintenance database is established on a cloud data server to generate an equipment operation and maintenance data container; based on historical operation and maintenance data, the operation and maintenance test environment of the equipment to be tested is consistency controlled to complete the preparation of the operation and maintenance test environment, and a calibration module is controlled to calibrate the equipment to be tested. After the calibration is completed, the data fluctuation of the equipment to be tested after calibration is obtained; according to the data fluctuation of the equipment to be tested after calibration and the standard data fluctuation of the equipment to be tested, if the data fluctuation of the equipment to be tested after calibration is not greater than the standard data fluctuation of the equipment to be tested, the equipment to be tested is stable, and the operation and maintenance of the equipment to be tested is completed. Through the present invention, it is possible to effectively discover and solve potential equipment problems, thereby enhancing the stability and reliability of the equipment.

Description

Technical Field

[0001] The present invention relates to the field of equipment maintenance, and in particular to a method and system for processing operation and maintenance data based on cloud services. Background Art

[0002] In the current information age, operation and maintenance is crucial to ensure the stable operation of various equipment and systems. Traditional operation and maintenance methods often rely on manual operation and experience judgment, and have problems such as low efficiency and unstable quality. In particular, with the rapid development of technologies such as cloud computing and big data, the amount of operation and maintenance data has increased dramatically, and traditional methods can no longer meet the needs of efficient and accurate operation and maintenance.

[0003] To address this issue, the industry has begun to explore cloud-based O&M data processing methods. Centralized O&M management through cloud data servers can achieve efficient processing and analysis of O&M data, improving the efficiency and quality of O&M work. At the same time, combined with standardized testing and calibration processes, it can further enhance the stability and reliability of equipment and reduce failure rates.

[0004] However, existing cloud-based operation and maintenance data processing methods still have some shortcomings. For example, some methods only focus on data collection and storage, but ignore the in-depth analysis and utilization of data; some methods lack standardized testing and calibration processes, resulting in inconsistent and unpredictable operation and maintenance results. Summary of the invention

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a cloud service-based operation and maintenance data processing method, comprising the following steps:

[0006] Step 1: Establish an operation and maintenance database on the cloud data server, obtain the device information of the current device under test, and the cloud data server generates a device operation and maintenance data container based on the device under test information; based on the historical operation and maintenance data, perform consistency control on the operation and maintenance test environment of the device under test, complete the preparation of the operation and maintenance test environment, and perform preliminary fault detection and troubleshooting on the device under test, and then proceed to step 2;

[0007] Step 2: After the operation and maintenance test environment and equipment are ready, a stability test is performed on the equipment to be tested according to the current operation and maintenance test environment. After the stability test is completed, the equipment to be tested is calibrated. According to the output data of the equipment to be tested during the stability test, the calibration module is controlled to calibrate the equipment to be tested. After the calibration is completed, the data fluctuation of the equipment to be tested after calibration is obtained;

[0008] Step 3: According to the data fluctuation of the device to be tested after calibration and the standard data fluctuation of the device to be tested, if the data fluctuation of the device to be tested after calibration is not greater than the standard data fluctuation of the device to be tested, the device to be tested is stable, and the process proceeds to step 6; otherwise, the process proceeds to step 4;

[0009] Step 4: according to the data fluctuation of the device under test after calibration and the standard data fluctuation of the device under test, the attenuation of the device under test is obtained. If the attenuation of the device under test is less than the attenuation threshold, the process proceeds to step 5. Otherwise, a warning message of complete attenuation of the device under test is issued.

[0010] Step 5: According to the attenuation degree and attenuation degree threshold of the device to be tested, combined with historical operation and maintenance data, the estimated remaining service life of the device to be tested is obtained, and the obtained data fluctuation and estimated remaining service life of the device to be tested are sent to the management module;

[0011] Step 6: Complete the operation and maintenance of the equipment to be tested.

[0012] Furthermore, the acquisition of device information of the current device under test, and the cloud data server generating a device operation and maintenance data container according to the device under test information, includes:

[0013] The cloud data server matches the device operation and maintenance data container in the operation and maintenance database according to the device information of the current device to be tested. If a match is found, the device operation and maintenance data container is connected to the device operation and maintenance module for communication.

[0014] Furthermore, based on the historical operation and maintenance data, the operation and maintenance test environment of the equipment to be tested is controlled for consistency, the preparation of the operation and maintenance test environment is completed, and preliminary fault detection and troubleshooting of the equipment to be tested are performed, including:

[0015] According to the test environment data of the device under test in the historical operation and maintenance data, the environment of the device under test is adjusted to be consistent with the test environment data. According to the basic test data, preliminary fault detection and troubleshooting are performed on the device under test, and the operation and maintenance test environment and equipment are ready.

[0016] Furthermore, the stability test of the equipment to be tested according to the current operation and maintenance test environment includes:

[0017] The stability output data of the device under test is obtained according to the stability test data, and the output data difference between the stability output data and the stability output data corresponding to the stability test data is obtained. If the output data difference is less than the set difference threshold, the device under test is stable.

[0018] Furthermore, the step of controlling the calibration module to calibrate the device to be tested according to the output data of the device to be tested during the stability test includes:

[0019] According to the output data after stabilization of the device under test, the control calibration module calibrates the device under test, and calibrates the output data after stabilization of the device under test to the output data after initial stabilization; the output data after initial stabilization is the designed stable output data of the device under test.

[0020] Furthermore, obtaining the data fluctuation of the device to be tested after calibration includes:

[0021] The variation range of the output data of the device to be tested after calibration is obtained to obtain the data fluctuation of the device to be tested after calibration.

[0022] Furthermore, the attenuation of the device to be tested is obtained according to the data fluctuation of the device to be tested after calibration and the standard data fluctuation of the device to be tested, including:

[0023] The difference between the data fluctuation of the device under test after calibration and the standard data fluctuation of the device under test, and the ratio of the difference to the standard data fluctuation of the device under test, are the attenuation of the device under test.

[0024] Furthermore, the estimated remaining service life of the device to be tested is obtained based on the attenuation degree and attenuation threshold of the device to be tested in combination with historical operation and maintenance data, including:

[0025] According to the historical operation and maintenance data, the attenuation duration of the device under test is obtained, and according to the attenuation degree of the device under test, the attenuation change rate of the device under test is obtained. According to the difference between the attenuation degree of the device under test and the attenuation degree threshold, and the ratio of the attenuation change rate of the device under test, the estimated remaining service life of the device under test is obtained.

[0026] An operation and maintenance data processing system based on cloud services, applying the operation and maintenance data processing method based on cloud services, comprising: a cloud data server, a data processing module, a communication module, an equipment operation and maintenance module and a calibration module;

[0027] The communication module, equipment operation and maintenance module and calibration module are respectively connected to the data processing module, and the cloud data server is communicatively connected to the communication module.

[0028] The beneficial effects of the present invention are as follows: The present invention implements centralized operation and maintenance management through a cloud data server, realizes efficient processing and analysis of operation and maintenance data, and significantly improves the efficiency of operation and maintenance work. At the same time, the standardized testing and calibration process ensures the quality of operation and maintenance work and reduces human errors and omissions.

[0029] Comprehensive stability testing and calibration of the equipment effectively discovered and solved potential equipment problems, thereby enhancing the stability and reliability of the equipment. This helps reduce equipment failure rates and improve overall system operating efficiency.

[0030] Through data fluctuation analysis and attenuation calculation, this method can estimate the remaining service life of the equipment. This helps to formulate maintenance plans in a timely manner and take necessary preventive measures, thereby extending the service life of the equipment and reducing replacement costs.

[0031] The use of cloud data servers reduces the enterprise's dependence on local hardware and software, and reduces operation and maintenance costs. At the same time, standardized operation and maintenance processes reduce duplication of work and waste of resources, further optimizing the operation and maintenance cost structure.

[0032] This method integrates the equipment's operation and maintenance data, test results, calibration records and other information into the cloud data server, providing rich data support for the company's decision-making. Managers can formulate more scientific and reasonable operation and maintenance strategies and plans based on this data to improve the company's overall operational efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A flowchart of a method for processing operation and maintenance data based on cloud services;

[0034] Figure 2 This is a schematic diagram of the operation and maintenance data processing system based on cloud services;

[0035] Figure 3 This is a schematic diagram of the calibration module principle. DETAILED DESCRIPTION

[0036] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following.

[0037] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.

[0038] like Figure 1 As shown, the operation and maintenance data processing method based on cloud services includes the following steps:

[0039] Step 1: Establish an operation and maintenance database on the cloud data server, obtain the device information of the current device under test, and the cloud data server generates a device operation and maintenance data container based on the device under test information; based on the historical operation and maintenance data, perform consistency control on the operation and maintenance test environment of the device under test, complete the preparation of the operation and maintenance test environment, and perform preliminary fault detection and troubleshooting on the device under test, and then proceed to step 2;

[0040] Step 2: After the operation and maintenance test environment and equipment are ready, a stability test is performed on the equipment to be tested according to the current operation and maintenance test environment. After the stability test is completed, the equipment to be tested is calibrated. According to the output data of the equipment to be tested during the stability test, the calibration module is controlled to calibrate the equipment to be tested. After the calibration is completed, the data fluctuation of the equipment to be tested after calibration is obtained;

[0041] Step 3: According to the data fluctuation of the device to be tested after calibration and the standard data fluctuation of the device to be tested, if the data fluctuation of the device to be tested after calibration is not greater than the standard data fluctuation of the device to be tested, the device to be tested is stable, and the process proceeds to step 6; otherwise, the process proceeds to step 4;

[0042] Step 4: according to the data fluctuation of the device under test after calibration and the standard data fluctuation of the device under test, the attenuation of the device under test is obtained. If the attenuation of the device under test is less than the attenuation threshold, the process proceeds to step 5. Otherwise, a warning message of complete attenuation of the device under test is issued.

[0043] Step 5: According to the attenuation degree and attenuation degree threshold of the device to be tested, combined with historical operation and maintenance data, the estimated remaining service life of the device to be tested is obtained, and the obtained data fluctuation and estimated remaining service life of the device to be tested are sent to the management module;

[0044] Step 6: Complete the operation and maintenance of the equipment to be tested.

[0045] The obtaining of the device information of the current device under test, and the cloud data server generating a device operation and maintenance data container according to the device under test information, includes:

[0046] The cloud data server matches the device operation and maintenance data container in the operation and maintenance database according to the device information of the current device to be tested. If a match is found, the device operation and maintenance data container is connected to the device operation and maintenance module for communication.

[0047] Based on the historical operation and maintenance data, the operation and maintenance test environment of the equipment to be tested is controlled for consistency, the preparation of the operation and maintenance test environment is completed, and preliminary fault detection and troubleshooting of the equipment to be tested are performed, including:

[0048] According to the test environment data of the device under test in the historical operation and maintenance data, the environment of the device under test is adjusted to be consistent with the test environment data. According to the basic test data, preliminary fault detection and troubleshooting are performed on the device under test, and the operation and maintenance test environment and equipment are ready.

[0049] The stability test of the equipment to be tested according to the current operation and maintenance test environment includes:

[0050] The stability output data of the device under test is obtained according to the stability test data, and the output data difference between the stability output data and the stability output data corresponding to the stability test data is obtained. If the output data difference is less than the set difference threshold, the device under test is stable.

[0051] According to the output data of the device to be tested during the stability test, controlling the calibration module to calibrate the device to be tested includes:

[0052] According to the output data after stabilization of the device under test, the control calibration module calibrates the device under test, and calibrates the output data after stabilization of the device under test to the output data after initial stabilization; the output data after initial stabilization is the designed stable output data of the device under test.

[0053] The data fluctuation of the device to be tested after calibration includes:

[0054] The variation range of the output data of the device to be tested after calibration is obtained to obtain the data fluctuation of the device to be tested after calibration.

[0055] The step of obtaining the attenuation of the device to be tested according to the data fluctuation of the device to be tested after calibration and the standard data fluctuation of the device to be tested comprises:

[0056] The difference between the data fluctuation of the device under test after calibration and the standard data fluctuation of the device under test, and the ratio of the difference to the standard data fluctuation of the device under test, are the attenuation of the device under test.

[0057] The method of obtaining the estimated remaining service life of the device to be tested based on the attenuation degree and attenuation threshold of the device to be tested in combination with historical operation and maintenance data includes:

[0058] According to the historical operation and maintenance data, the attenuation duration of the device under test is obtained, and according to the attenuation degree of the device under test, the attenuation change rate of the device under test is obtained. According to the difference between the attenuation degree of the device under test and the attenuation degree threshold, and the ratio of the attenuation change rate of the device under test, the estimated remaining service life of the device under test is obtained.

[0059] like Figure 2 As shown, the operation and maintenance data processing system based on cloud services, applying the operation and maintenance data processing method based on cloud services, comprises: a cloud data server, a data processing module, a communication module, an equipment operation and maintenance module and a calibration module;

[0060] The communication module, equipment operation and maintenance module and calibration module are respectively connected to the data processing module, and the cloud data server is communicatively connected to the communication module.

[0061] like Figure 3 As shown, the calibration module includes a calibration data acquisition module and a calibration device; the calibration data acquisition module and the calibration device are respectively connected to the data processing module.

[0062] Specifically, the operation and maintenance data processing method based on cloud services mainly includes the following steps:

[0063] Step 1: Establish an operation and maintenance database and obtain device information. Establish an operation and maintenance database on the cloud data server to store and manage operation and maintenance data. Obtain the device information of the current device under test, including device model, production date, historical operation and maintenance records, etc. The cloud data server matches the device operation and maintenance data container in the operation and maintenance database based on the device information under test. If a match is found, the device operation and maintenance data container is connected to the device operation and maintenance module for subsequent operation and maintenance operations.

[0064] Step 2: Preparation of the operation and maintenance test environment and preliminary fault detection: According to the test environment data of the equipment under test in the historical operation and maintenance data, adjust the environment of the equipment under test to be consistent with the test environment data to ensure the accuracy of the test results. Perform preliminary fault detection and elimination on the equipment under test based on the basic test data. This step is to ensure that the equipment is in good working condition before entering the stability test.

[0065] Step 3: Stability test and equipment calibration: Obtain the stability output data of the device under test based on the stability test data. If the difference in the output data is less than the set difference threshold, the device under test is considered stable.

[0066] According to the output data of the device under test after stabilization, the control calibration module calibrates the device under test. The goal of calibration is to calibrate the output data of the device under test after stabilization to the output data after initial stabilization to ensure the accuracy and reliability of the device.

[0067] Step 4: Data fluctuation analysis and attenuation calculation: Obtain the variation range of the output data of the device to be tested after calibration, and obtain the data fluctuation of the device to be tested after calibration. Calculate the attenuation of the device to be tested based on the data fluctuation of the device to be tested after calibration and the standard data fluctuation of the device to be tested. The calculation formula of the attenuation is: the ratio of the difference between the data fluctuation of the device to be tested after calibration and the standard data fluctuation of the device to be tested to the standard data fluctuation of the device to be tested.

[0068] Step 5: Estimated remaining service life and data transmission: Based on the attenuation and attenuation threshold of the device to be tested, combined with historical operation and maintenance data, the estimated remaining service life of the device to be tested is obtained. This step aims to predict the future operation status of the equipment so that maintenance and replacement can be carried out in a timely manner. The obtained data fluctuations and estimated remaining service life of the device to be tested are sent to the management module so that managers can make decisions and formulate corresponding operation and maintenance plans.

[0069] Step 6: Complete operation and maintenance: After completing all the above steps, the operation and maintenance of the device to be tested is completed. At this point, the device should be in good working condition and have the expected stability and accuracy.

[0070] The cloud service-based operation and maintenance data processing system is the platform for implementing the above methods. It mainly includes the following components:

[0071] The cloud data server is the core of the entire system and is used to store and manage operation and maintenance data. It provides powerful data storage and processing capabilities to ensure the accuracy and reliability of operation and maintenance data.

[0072] The data processing module is used to execute each step in the above method. It receives the operation and maintenance data from the cloud data server, and processes and analyzes it to obtain useful operation and maintenance information.

[0073] The communication module is used to realize the communication connection between the data processing module and other components. It ensures the smooth transmission and exchange of data so that the entire system can work together.

[0074] The calibration module includes a calibration data acquisition module and a calibration device. It is used to calibrate the device under test to ensure the accuracy and reliability of the device. The calibration data acquisition module is used to obtain the output data of the device under test and pass it to the calibration device for calibration.

[0075] Example 1: Server stability testing and calibration

[0076] Establish a server operation and maintenance database on the cloud data server and obtain the device information of the server to be tested, such as model, configuration, historical operation and maintenance records, etc. According to the server information to be tested, match the corresponding device operation and maintenance data container in the operation and maintenance database and connect it to the device operation and maintenance module.

[0077] According to the server test environment data in the historical operation and maintenance data, adjust the environment settings of the server to be tested, including temperature, humidity, power supply, etc., to ensure consistency with the test environment data. Perform basic tests on the server to be tested, such as power-on self-test and system loading, to eliminate preliminary faults.

[0078] Execute the stability test script to obtain the stability output data of the server to be tested, such as CPU usage, memory usage, network throughput, etc. Analyze the output data, and if the difference in the data is less than the set difference threshold, the server is considered stable.

[0079] According to the output data of the server to be tested after stabilization, the control calibration module calibrates the server. The calibration content includes system time synchronization, network configuration calibration, storage performance optimization, etc.

[0080] The variation range of the output data of the calibrated server is obtained to obtain the data fluctuation. The difference between the data fluctuation of the calibrated server and the standard data fluctuation is calculated, and the ratio operation is performed with the standard data fluctuation to obtain the attenuation degree of the server.

[0081] According to the server's attenuation and attenuation threshold, combined with historical operation and maintenance data, the remaining service life of the server is estimated. The data fluctuations and estimated remaining service life of the server are sent to the management module so that managers can make decisions and formulate corresponding operation and maintenance plans.

[0082] Complete the maintenance, organize the test reports and calibration records, and mark the server's maintenance status as "Completed".

[0083] Example 2: Network equipment performance testing and calibration

[0084] Establish a network equipment operation and maintenance database on the cloud data server, and obtain the device information of the network equipment to be tested, such as model, interface configuration, historical operation and maintenance records, etc.

[0085] According to the information of the network device to be tested, the corresponding device operation and maintenance data container is matched in the operation and maintenance database, and is connected to the device operation and maintenance module for communication.

[0086] According to the network equipment test environment data in the historical operation and maintenance data, adjust the environment settings of the network equipment to be tested, including network topology, traffic load, etc.

[0087] Perform basic tests on the network equipment under test, such as interface connectivity test, protocol compatibility test, etc., to eliminate preliminary faults.

[0088] Execute the stability test script to obtain the stability output data of the network device under test, such as throughput, delay, packet loss rate, etc.

[0089] Analyze the output data. If the difference of the data is less than the set difference threshold, the network device is considered stable. According to the output data of the network device to be tested after stabilization, the control calibration module calibrates the network device. The calibration content includes clock synchronization, flow control strategy adjustment, interface rate calibration, etc. Obtain the change range of the output data of the network device after calibration to obtain the data fluctuation.

[0090] The difference between the data fluctuation of the calibrated network device and the standard data fluctuation is calculated, and a ratio operation is performed with the standard data fluctuation to obtain the attenuation of the network device.

[0091] The remaining service life of network equipment is estimated based on the attenuation degree and attenuation threshold of the network equipment and combined with historical operation and maintenance data.

[0092] The data fluctuations and estimated remaining service life of network equipment are sent to the management module so that managers can make decisions and formulate corresponding operation and maintenance plans.

[0093] Organize the test reports and calibration records, and mark the operation and maintenance status of the network equipment as "completed". At the same time, update the operation and maintenance data container of the network equipment based on the test results and calibration records for reference and use in subsequent operation and maintenance work.

Claims

1. A method for processing operation and maintenance data based on cloud services, characterized in that: The steps include: Step 1: Establish an operation and maintenance database on the cloud data server, obtain the device information of the current device under test, and the cloud data server generates a device operation and maintenance data container based on the device under test information; Based on historical operation and maintenance data, the operation and maintenance test environment of the equipment to be tested is controlled for consistency, the preparation of the operation and maintenance test environment is completed, and preliminary fault detection and troubleshooting is performed on the equipment to be tested, and then step 2 is entered; Step 2: After the operation and maintenance test environment and equipment are ready, a stability test is performed on the equipment to be tested according to the current operation and maintenance test environment. After the stability test is completed, the equipment to be tested is calibrated. According to the output data of the equipment to be tested during the stability test, the calibration module is controlled to calibrate the equipment to be tested. After the calibration is completed, the data fluctuation of the equipment to be tested after calibration is obtained; Step 3: According to the data fluctuation of the device to be tested after calibration and the standard data fluctuation of the device to be tested, if the data fluctuation of the device to be tested after calibration is not greater than the standard data fluctuation of the device to be tested, the device to be tested is stable, and the process goes to step 6; Otherwise, proceed to step 4; Step 4: according to the data fluctuation of the device under test after calibration and the standard data fluctuation of the device under test, the attenuation of the device under test is obtained. If the attenuation of the device under test is less than the attenuation threshold, the process proceeds to step 5. Otherwise, a warning message of complete attenuation of the device under test is issued. Step 5: According to the attenuation degree and attenuation degree threshold of the device to be tested, combined with historical operation and maintenance data, the estimated remaining service life of the device to be tested is obtained, and the obtained data fluctuation and estimated remaining service life of the device to be tested are sent to the management module; Step 6: Complete the operation and maintenance of the equipment to be tested; The obtaining of the device information of the current device under test, and the cloud data server generating a device operation and maintenance data container according to the device under test information, includes: The cloud data server matches the device operation and maintenance data container in the operation and maintenance database according to the device information of the current device to be tested. If a match is found, the device operation and maintenance data container is connected to the device operation and maintenance module for communication; Based on the historical operation and maintenance data, the operation and maintenance test environment of the equipment to be tested is controlled for consistency, the preparation of the operation and maintenance test environment is completed, and preliminary fault detection and troubleshooting of the equipment to be tested are performed, including: According to the test environment data of the device under test in the historical operation and maintenance data, the environment of the device under test is adjusted to be consistent with the test environment data, and preliminary fault detection and troubleshooting are performed on the device under test according to the basic test data, so that the operation and maintenance test environment and equipment are ready; the test environment data includes temperature, humidity, and power supply data; The stability test of the equipment to be tested according to the current operation and maintenance test environment includes: Obtaining stability output data of the device under test according to the stability test data, and obtaining an output data difference between the stability output data and the stability output data corresponding to the stability test data; if the output data difference is less than a set difference threshold, the device under test is stable; According to the output data of the device to be tested during the stability test, controlling the calibration module to calibrate the device to be tested includes: According to the output data after the device under test is stabilized, the calibration module is controlled to calibrate the device under test, and the output data after the device under test is stabilized is calibrated to the output data after initial stabilization; the output data after initial stabilization is the designed stable output data of the device under test; The data fluctuation of the device to be tested after calibration includes: Obtain the variation range of the output data of the device to be tested after calibration, and obtain the data fluctuation of the device to be tested after calibration; The step of obtaining the attenuation of the device to be tested according to the data fluctuation of the device to be tested after calibration and the standard data fluctuation of the device to be tested comprises: The difference between the data fluctuation of the device under test after calibration and the standard data fluctuation of the device under test, and the ratio of the difference between the data fluctuation of the device under test and the standard data fluctuation of the device under test, is the attenuation of the device under test; The method of obtaining the estimated remaining service life of the device to be tested based on the attenuation degree and attenuation threshold of the device to be tested in combination with historical operation and maintenance data includes: According to the historical operation and maintenance data, the attenuation duration of the device under test is obtained, and according to the attenuation degree of the device under test, the attenuation change rate of the device under test is obtained. According to the difference between the attenuation degree of the device under test and the attenuation degree threshold, and the ratio of the attenuation change rate of the device under test, the estimated remaining service life of the device under test is obtained.

2. The operation and maintenance data processing system based on cloud services is characterized by: The operation and maintenance data processing method based on cloud service according to claim 1 is applied, comprising: a cloud data server, a data processing module, a communication module, an equipment operation and maintenance module and a calibration module; The communication module, equipment operation and maintenance module and calibration module are respectively connected to the data processing module, and the cloud data server is communicatively connected to the communication module.

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