Network information equipment operation and maintenance management method based on Internet of Things
By numbering and data collection of network information equipment, calculating potential faults and aging levels, and monitoring environmental parameters, the problem of the inability to analyze the oldness and the monitoring environment in the existing technology is solved, and the automatic early warning of equipment failure and environmental monitoring is realized , ensure the equipment is operating normally.
Patent Information
- Application Number
- CN202411214372.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-31
- Publication Date
- 2024-12-27
- Estimated Expiration
- 2044-08-31
AI Technical Summary
The existing Internet of Things-based network information equipment operation and maintenance management methods cannot effectively analyze the degree of old age and monitor environmental factors, resulting in a decrease in data transmission speed and unstable equipment operation.
By numbering network information equipment, collecting time-changing data of its physical parameters and performance parameters, calculating potential faults and aging levels, monitoring environmental parameters in real time, issuing early warnings to ensure the normal operation of the equipment.
Effectively judge equipment failures and old states, avoid data transmission speeds, ensure the normal operation of the equipment in bad environments, and improve the automation and accuracy of operation and maintenance management.
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Figure CN119210986A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of network information equipment management, and in particular to a network information equipment operation and maintenance management method based on the Internet of Things. Background Art
[0002] Network information equipment refers to the dedicated hardware equipment used to connect various servers, PCs, application terminals and other nodes to form an information communication network. These devices are of various types and have different functions, but they all play an important role in network communication.
[0003] Network information equipment is increasingly used in all walks of life. However, traditional manual monitoring methods can no longer meet the needs of large-scale network equipment operation and maintenance. The method of automated monitoring and management of network information equipment based on the Internet of Things has become the main means of network information equipment operation and maintenance. Most of the existing network information equipment operation and maintenance management methods based on the Internet of Things have the following problems: 1. If the network information equipment is relatively old, the data transmission speed may decrease due to internal cache, processing power limitations or hardware aging. The existing network information equipment operation and maintenance management methods cannot analyze and judge the degree of age of the network information equipment; 2. The environment in which the network information equipment is located is very important. The temperature, humidity, and dust content in the air have a great impact on the normal operation of the network information equipment. The existing network information equipment operation and maintenance management methods lack monitoring of the environment in which the network information equipment is located to ensure the normal operation of the network information equipment. Summary of the invention
[0004] The purpose of the present invention is to provide a network information equipment operation and maintenance management method based on the Internet of Things to solve the above technical problems.
[0005] The purpose of the present invention can be achieved through the following technical solutions:
[0006] A network information equipment operation and maintenance management method based on the Internet of Things, the method comprising the following steps:
[0007] Step S1: number all network information devices within the operation and maintenance management scope, and the numbers are: 1, 2, ..., n;
[0008] Step S2, collecting the data of the physical parameters of all network information devices changing over time, and analyzing the fault status of the device according to the real-time data of the physical parameters of each network information device changing over time;
[0009] Step S3: If the network information device fails or has a potential failure, an early warning is immediately issued; if the network information device does not fail or has a potential failure, the process proceeds to step S4;
[0010] Step S4, collecting the performance parameter change data of all network information devices over time, and analyzing the operating status of each network information device according to the performance parameter change data of each network information device over time;
[0011] Step S5: Collect the real-time parameters of the environment in which all network information devices are located, and analyze the environmental status of the equipment based on the real-time parameters of the environment of the network information equipment. If the environment of the network information equipment does not meet the requirements, issue an early warning immediately.
[0012] As a further description of the solution of the present invention, the specific method in step S2 includes:
[0013] Obtain the real-time working current and working temperature of the i-th network information device;
[0014] The real-time working current and working temperature of the ith network information device are compared with the set target threshold. If any physical parameter is greater than the target threshold, it means that the ith network information device has a fault and an early warning is issued immediately. Otherwise, further analysis is performed to determine whether the ith network information device has a potential fault.
[0015] As a further description of the solution of the present invention, the specific process of further analyzing whether the i-th network information device has a potential fault includes:
[0016] Obtain the working current variation data of the i-th network information device over a set time period, and construct the working current variation function I of the i-th network information device over time i (t);
[0017] Obtain the data of the working temperature variation over time of the i-th network information device within the set time period, and construct the function T of the working temperature variation over time of the i-th network information device i (t);
[0018] The potential failure coefficient μ of the i-th network information device is calculated by the following formula: i :
[0019]
[0020] Where, t 1 is the initial detection time point within the set time period, t 2 To end the detection time point within the set time period, For function I i The derivative of (t), is the function T i The derivative of (t), max[] is the function for finding the maximum value of the function, min[] is the function for finding the minimum value of the function, I th is the working current state reference value, T this the reference value of the working temperature state, α and β are the weight coefficients corresponding to the working current and working temperature respectively;
[0021] The potential failure coefficient μ of the i-th network information device i The potential failure coefficient of the i-th network information device is preset to the threshold μ i0 For comparison, if the potential failure coefficient μ of the i-th network information device i Greater than or equal to the preset threshold μ of the potential failure coefficient of the i-th network information device i0 , it means that the i-th network information device has a potential failure and an early warning is issued immediately; otherwise, go to step S4.
[0022] As a further description of the solution of the present invention, the specific method of step S4 includes:
[0023] Obtaining the data of the m performance parameters of the ith network information device changing over time within a set time period, and respectively constructing the functions of the m performance parameters of the ith network information device changing over time;
[0024] The performance coefficient ρ of the i-th network information device is calculated by the following formula i :
[0025]
[0026] In the formula, f ij (t) is the function of the jth performance parameter of the ith network information device changing with time, f ij0 (t) is the standard function of the jth performance parameter of the i-th network information device changing with time, where j belongs to m, K j is the weight coefficient corresponding to the jth performance parameter, t 3 is the initial detection time point within the set time period, t 4 To end the detection time point within the set time period;
[0027] According to the performance coefficient ρ of the i-th network information device i Determine the age of the i-th network information device.
[0028] As a further description of the solution of the present invention, the performance coefficient ρ of the i-th network information device i The specific process of determining the age of the i-th network information device includes:
[0029] Get the number x of devices of the same type as the ith network information device, and calculate the difference coefficient σ of the ith network information device according to the following formula: i :
[0030]
[0031] The i-th network information device difference coefficient σ i The difference coefficient σ with the i-th network information device i Preset threshold σ i0 For comparison, if the difference coefficient σ of the i-th network information device i Greater than or equal to the i-th network information equipment difference coefficient σ i Preset threshold σ i0 , it means that the aging degree of the i-th network information device exceeds the expected aging degree, and it is recommended to replace the i-th network information device.
[0032] As a further description of the solution of the present invention, the specific method of step S5 includes:
[0033] Obtain various environmental parameter values of network information equipment;
[0034] Compare the values of each environmental parameter with the set thresholds:
[0035] If there are environmental parameter items that are greater than the set threshold, the network information equipment environment is judged to be unqualified and an early warning is issued immediately;
[0036] Otherwise, the environmental status is judged as a whole based on the overall deviation of the environmental parameter values.
[0037] As a further description of the solution of the present invention, the method for overall judging the environmental state according to the overall deviation of the values of various environmental parameters includes:
[0038] The environmental factor of network information equipment is calculated by the following formula
[0039]
[0040] Among them, y is the number of environmental parameters detected, h belongs to y, E h is the detection value of the hth environmental parameter, E h0 is the standard value of the hth environmental parameter, TH h is the reference value of the hth environmental parameter, γ h is the correlation coefficient of the hth parameter;
[0041] According to the environmental factor of network information equipment Analyze the environmental status of the device.
[0042] As a further description of the solution of the present invention, the environmental coefficient of the network information equipment Methods for analyzing the environmental status of a device include:
[0043] Environmental factor of network information equipment Environmental coefficient thresholds for network information equipment By comparison, if the environmental factor of network information equipment Greater than or equal to the environmental coefficient threshold of network information equipment If the overall environment of the network information equipment is unqualified, an early warning will be issued immediately.
[0044] The beneficial effects of the present invention are as follows: In order to facilitate the management of network information equipment, the present invention numbers all network information equipment, and then collects data on changes in physical parameters of all network information equipment over time to determine whether a physical layer failure or a potential physical layer failure occurs in the network information equipment. If no physical layer failure or a potential physical layer failure occurs, data on changes in operating parameters of all network information equipment over time are collected to determine whether the network information equipment is in an obsolete state, thereby preventing the network information equipment from experiencing a decrease in data transmission speed due to internal cache, processing power limitations, or hardware aging. Finally, real-time monitoring of the environment in which all network information equipment is located is performed to prevent environmental factors from affecting the normal operation of the network information equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0045] The present invention will be further described below in conjunction with the accompanying drawings.
[0046] Figure 1 It is a partial flow chart of the network information equipment operation and maintenance management method based on the Internet of Things provided by the present invention. DETAILED DESCRIPTION
[0047] 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.
[0048] See also Figure 1 The present invention is a network information equipment operation and maintenance management method based on the Internet of Things, and the method comprises the following steps:
[0049] Step S1: number all network information devices within the operation and maintenance management scope, and the numbers are: 1, 2, ..., n;
[0050] Step S2, collecting the data of the physical parameters of all network information devices changing over time, and analyzing the fault status of the device according to the real-time data of the physical parameters of each network information device changing over time;
[0051] Step S3: If the network information device fails or has a potential failure, an early warning is immediately issued; if the network information device does not fail or has a potential failure, the process proceeds to step S4;
[0052] Step S4, collecting the performance parameter change data of all network information devices over time, and analyzing the operating status of each network information device according to the performance parameter change data of each network information device over time;
[0053] Step S5: Collect the real-time parameters of the environment in which all network information devices are located, and analyze the environmental status of the equipment based on the real-time parameters of the environment of the network information equipment. If the environment of the network information equipment does not meet the requirements, issue an early warning immediately.
[0054] Through the above technical scheme, the present invention numbers all network information devices for the convenience of management of network information devices, and then collects the data of changes in physical parameters of all network information devices over time to determine whether the network information devices have physical layer failures or potential physical layer failures. If no physical layer failures or potential physical layer failures occur, the data of changes in operating parameters of all network information devices over time are collected to determine whether the network information devices are in an old state, so as to avoid the network information devices from having internal caches, processing power limitations or hardware aging, resulting in a decrease in data transmission speed. Finally, the environment in which all network information devices are located is monitored in real time to avoid the normal operation of network information devices being affected by environmental factors.
[0055] The specific method in step S2 includes:
[0056] Obtain the real-time working current and working temperature of the i-th network information device;
[0057] The real-time working current and working temperature of the ith network information device are compared with the set target threshold. If any physical parameter is greater than the target threshold, it means that the ith network information device has a fault and an early warning is issued immediately. Otherwise, further analysis is performed to determine whether the ith network information device has a potential fault.
[0058] As a further description of the solution of the present invention, the specific process of further analyzing whether the i-th network information device has a potential fault includes:
[0059] Obtain the working current variation data of the i-th network information device over a set time period, and construct the working current variation function I of the i-th network information device over time i (t);
[0060] Obtain the data of the working temperature variation over time of the i-th network information device within the set time period, and construct the function T of the working temperature variation over time of the i-th network information device i (t);
[0061] The potential failure coefficient μ of the i-th network information device is calculated by the following formula: i :
[0062]
[0063] Where, t 1 is the initial detection time point within the set time period, t 2 To end the detection time point within the set time period, For function I i The derivative of (t), is the function T i The derivative of (t), max[] is the function for finding the maximum value of the function, min[] is the function for finding the minimum value of the function, I th is the working current state reference value, T th is the reference value of the working temperature state, α and β are the weight coefficients corresponding to the working current and working temperature respectively;
[0064] The potential failure coefficient μ of the i-th network information device i The potential failure coefficient of the i-th network information device is preset to the threshold μ i0 For comparison, if the potential failure coefficient μ of the i-th network information device i Greater than or equal to the preset threshold μ of the potential failure coefficient of the i-th network information device i0 , it means that the i-th network information device has a potential failure and an early warning is issued immediately; otherwise, go to step S4.
[0065] Through the above technical solution, this embodiment first compares the real-time working current and working temperature of the ith network information device with the set target threshold value. If any physical parameter is greater than the target threshold value, it means that the ith network information device has a fault. Then, the working current variation data of the ith network information device in the set time period is obtained, and the working current variation function I of the ith network information device is constructed. i (t), obtain the data of the working temperature variation over time of the i-th network information device in the set time period, and construct the function T of the working temperature variation over time of the i-th network information device i (t); then substitute the function into the formula Calculate the potential failure coefficient μ of the i-th network information device i , where and Indicates the cumulative change of current and temperature within the set time period. Representation function I i (t) The ratio of the maximum and minimum values of the derivative, Represents the function T i (t) The ratio of the maximum and minimum values of the derivative, respectively, represents the function I i (t) and Ti (t) The fluctuation of the curve within the set time period, the potential failure coefficient μ of the i-th network information device i The potential failure coefficient of the i-th network information device is preset to the threshold μ i0 For comparison, if the potential failure coefficient μ of the i-th network information device i Greater than or equal to the preset threshold μ of the potential failure coefficient of the i-th network information device i0 , it means that the i-th network information device has a potential fault.
[0066] It should be noted that α and β are correlation coefficients corresponding to the operating current and the operating temperature, which are empirical values and do not need to be described in detail.
[0067] As a further description of the solution of the present invention, the specific method of step S4 includes:
[0068] Obtaining the data of the m performance parameters of the ith network information device changing over time within a set time period, and respectively constructing the functions of the m performance parameters of the ith network information device changing over time;
[0069] The performance coefficient ρ of the i-th network information device is calculated by the following formula i :
[0070]
[0071] In the formula, f ij (t) is the function of the jth performance parameter of the ith network information device changing with time, f ij0 (t) is the standard function of the jth performance parameter of the i-th network information device changing with time, where j belongs to m, K j is the weight coefficient corresponding to the jth performance parameter, t 3 is the initial detection time point within the set time period, t 4 To end the detection time point within the set time period;
[0072] According to the performance coefficient ρ of the i-th network information device i Determine the age of the i-th network information device.
[0073] As a further description of the solution of the present invention, the performance coefficient ρ of the i-th network information device i The specific process of determining the age of the i-th network information device includes:
[0074] Get the number x of devices of the same type as the ith network information device, and calculate the difference coefficient σ of the ith network information device according to the following formula: i :
[0075]
[0076] The i-th network information device difference coefficient σ i The difference coefficient σ with the i-th network information device i Preset threshold σ i0 For comparison, if the difference coefficient σ of the i-th network information device i Greater than or equal to the i-th network information equipment difference coefficient σ i Preset threshold σ i0 , it means that the aging degree of the i-th network information device exceeds the expected aging degree, and it is recommended to replace the i-th network information device.
[0077] Through the above technical solution, this embodiment obtains the time-varying data of m performance parameters of the ith network information device within a set time period, and the performance parameters are related to the network information device, such as the switching capacity and packet forwarding rate of the switch, and obtains the time-varying function f of the jth performance parameter of the ith network information device ij (t) Substitute into the formula Calculate the performance coefficient ρ of the i-th network information device i , where It represents the difference between the cumulative change of the jth performance parameter of the i-th network information device and the standard change within the set time period. Then, the formula Calculate the difference coefficient σ of the i-th network information device i , where It represents the difference between the performance coefficient of the ith network information device and the mean performance coefficient of the same type of equipment. i The difference coefficient σ with the i-th network information device i Preset threshold σ i0 For comparison, if the difference coefficient σ of the i-th network information device i Greater than or equal to the i-th network information equipment difference coefficient σ i Preset threshold σ i0 , it means that the aging degree of the i-th network information device exceeds the expected aging degree, and it is recommended to replace the i-th network information device.
[0078] It should be noted that K j These are empirical data related to the performance parameters of the corresponding network information equipment and do not require excessive elaboration.
[0079] As a further description of the solution of the present invention, the specific method of step S5 includes:
[0080] Obtain various environmental parameter values of network information equipment;
[0081] Compare the values of each environmental parameter with the set thresholds:
[0082] If there are environmental parameter items that are greater than the set threshold, the network information equipment environment is judged to be unqualified and an early warning is issued immediately;
[0083] Otherwise, the environmental status is judged as a whole based on the overall deviation of the environmental parameter values.
[0084] As a further description of the solution of the present invention, the method for overall judging the environmental state according to the overall deviation of the values of various environmental parameters includes:
[0085] The environmental factor of network information equipment is calculated by the following formula
[0086]
[0087] Among them, y is the number of environmental parameters detected, h belongs to y, E h is the detection value of the hth environmental parameter, E h0 is the standard value of the hth environmental parameter, TH h is the reference value of the hth environmental parameter, γ h is the correlation coefficient of the hth parameter;
[0088] According to the environmental factor of network information equipment Analyze the environmental status of the device.
[0089] As a further description of the solution of the present invention, the environmental coefficient of the network information equipment Methods for analyzing the environmental status of a device include:
[0090] Environmental factor of network information equipment Environmental coefficient thresholds for network information equipment By comparison, if the environmental factor of network information equipment Greater than or equal to the environmental coefficient threshold of network information equipment If the overall environment of the network information equipment is unqualified, an early warning will be issued immediately.
[0091] Through the above technical solution, this embodiment first obtains environmental parameters related to the network information device, such as temperature, humidity and dust content in the air, and then compares the values of various environmental parameters with the set thresholds: if there is an environmental parameter item greater than the set threshold, it is judged that the environment of the network information device is unqualified and an early warning is issued immediately; otherwise, Calculating the environmental factor of network information equipment Environmental factor of network information equipment Environmental coefficient thresholds for network information equipment By comparison, if the environmental factor of network information equipment Greater than or equal to the environmental coefficient threshold of network information equipment If the overall environment of the network information equipment is unqualified, an early warning will be issued immediately.
[0092] It should be noted that γ h 、E h0 and TH h These are all empirical data and there is no need to elaborate on them in detail.
[0093] All formula calculations in the above embodiments are dimensionless numerical operations. The dimensionless process is well known in the industry and does not need to be described in detail.
[0094] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.
Claims
1. A network information equipment operation and maintenance management method based on the Internet of Things, characterized in that: The method comprises the following steps: Step S1: number all network information devices within the operation and maintenance management scope, and the numbers are: 1, 2, ..., n; Step S2, collecting the data of the physical parameters of all network information devices changing over time, and analyzing the fault status of the device according to the real-time data of the physical parameters of each network information device changing over time; Step S3: If the network information device fails or has a potential failure, an early warning is immediately issued; if the network information device does not fail or has a potential failure, the process proceeds to step S4; Step S4, collecting the performance parameter change data of all network information devices over time, and analyzing the operating status of each network information device according to the performance parameter change data of each network information device over time; Step S5: Collect the real-time parameters of the environment in which all network information devices are located, and analyze the environmental status of the equipment based on the real-time parameters of the environment of the network information equipment. If the environment of the network information equipment does not meet the requirements, issue an early warning immediately.
2. According to the method for operation and maintenance management of network information equipment based on the Internet of Things in claim 1, it is characterized in that: The specific method in step S2 includes: Obtain the real-time working current and working temperature of the i-th network information device; The real-time working current and working temperature of the ith network information device are compared with the set target threshold. If any physical parameter is greater than the target threshold, it means that the ith network information device has a fault and an early warning is issued immediately. Otherwise, further analysis is performed to determine whether the ith network information device has a potential fault.
3. According to the method for operation and maintenance management of network information equipment based on the Internet of Things in claim 2, it is characterized in that: The specific process of further analyzing whether the i-th network information device has a potential failure includes: Obtain the working current variation data of the i-th network information device over a set time period, and construct the working current variation function I of the i-th network information device over time i (t); Obtain the data of the working temperature variation over time of the i-th network information device within the set time period, and construct the function T of the working temperature variation over time of the i-th network information device i (t); The potential failure coefficient μ of the i-th network information device is calculated by the following formula: i : In the formula, t1 is the initial detection time point within the set time period, and t2 is the end detection time point within the set time period. For function I i The derivative of (t), is the function T i The derivative of (t), max[] is the function for finding the maximum value of the function, min[] is the function for finding the minimum value of the function, I th is the working current state reference value, T th is the reference value of the working temperature state, α and β are the weight coefficients corresponding to the working current and working temperature respectively; The potential failure coefficient μ of the i-th network information device i The potential failure coefficient of the i-th network information device is preset to the threshold μ i0 For comparison, if the potential failure coefficient μ of the i-th network information device i Greater than or equal to the preset threshold μ of the potential failure coefficient of the i-th network information device i0 , it means that the i-th network information device has a potential failure and an early warning is issued immediately; otherwise, go to step S4.
4. According to the method for operation and maintenance management of network information equipment based on the Internet of Things in claim 1, it is characterized in that: The specific method of step S4 includes: Obtaining the data of the m performance parameters of the ith network information device changing over time within a set time period, and respectively constructing the functions of the m performance parameters of the ith network information device changing over time; The performance coefficient ρ of the i-th network information device is calculated by the following formula i : In the formula, f ij (t) is the function of the jth performance parameter of the ith network information device changing with time, f ij0 (t) is the standard function of the jth performance parameter of the i-th network information device changing with time, where j belongs to m, K j is the weight coefficient corresponding to the jth performance parameter, t3 is the initial detection time point within the set time period, and t4 is the end detection time point within the set time period; According to the performance coefficient ρ of the i-th network information device i Determine the age of the i-th network information device.
5. According to the method for operation and maintenance management of network information equipment based on the Internet of Things according to claim 4, it is characterized in that: The performance coefficient ρ of the i-th network information device i The specific process of determining the age of the i-th network information device includes: Get the number x of devices of the same type as the ith network information device, and calculate the difference coefficient σ of the ith network information device according to the following formula: i : The i-th network information device difference coefficient σ i The difference coefficient σ with the i-th network information device i Preset threshold σ i0 For comparison, if the difference coefficient σ of the i-th network information device i Greater than or equal to the i-th network information equipment difference coefficient σ i Preset threshold σ i0 , it means that the aging degree of the i-th network information device exceeds the expected aging degree, and it is recommended to replace the i-th network information device.
6. The method for operation and maintenance management of network information equipment based on the Internet of Things according to claim 1, characterized in that: The specific method of step S5 includes: Obtain various environmental parameter values of network information equipment; Compare the values of each environmental parameter with the set thresholds: If there are environmental parameter items that are greater than the set threshold, the network information equipment environment is judged to be unqualified and an early warning is issued immediately; Otherwise, the environmental status is judged as a whole based on the overall deviation of the environmental parameter values.
7. The method for operation and maintenance management of network information equipment based on the Internet of Things according to claim 6, characterized in that: The method for overall judging the environmental state according to the overall deviation of various environmental parameter values includes: The environmental factor of network information equipment is calculated by the following formula Among them, y is the number of environmental parameters detected, h belongs to y, E h is the detection value of the hth environmental parameter, E h0 is the standard value of the hth environmental parameter, TH h is the reference value of the hth environmental parameter, γ h is the correlation coefficient of the hth parameter; According to the environmental factor of network information equipment Analyze the environmental status of the device.
8. The method for operation and maintenance management of network information equipment based on the Internet of Things according to claim 7, characterized in that: The environmental coefficient of the network information equipment Methods for analyzing the environmental status of a device include: Environmental factor of network information equipment Environmental coefficient thresholds for network information equipment By comparison, if the environmental factor of network information equipment Greater than or equal to the environmental coefficient threshold of network information equipment If the overall environment of the network information equipment is unqualified, an early warning will be issued immediately.
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