CN113835417A - Fault detection and diagnosis method based on 5G communication network - Google Patents
Fault detection and diagnosis method based on 5G communication network Download PDFInfo
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- CN113835417A CN113835417A CN202111148337.3A CN202111148337A CN113835417A CN 113835417 A CN113835417 A CN 113835417A CN 202111148337 A CN202111148337 A CN 202111148337A CN 113835417 A CN113835417 A CN 113835417A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0262—Confirmation of fault detection, e.g. extra checks to confirm that a failure has indeed occurred
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Abstract
The invention discloses a network fault detection and diagnosis method based on 5G communication, which relates to the technical field of network fault detection and solves the technical problem that the accuracy of network diagnosis is reduced because the device fault cannot be detected in the prior art, a device analysis unit is used for analyzing the information of a network terminal router so as to detect the network terminal router, obtain the information of the network terminal router, obtain the analysis detection coefficient ZZi of the network terminal router through a formula, and generate a device abnormal signal and send the device abnormal signal and a corresponding network terminal router to a cloud detection platform if the analysis detection coefficient ZZi of the network terminal router is more than or equal to the analysis detection coefficient threshold of the network terminal router; the method and the device have the advantages that the device faults are detected, the accuracy of network diagnosis is improved, the influence of damage of the router terminal on a user is effectively reduced, and meanwhile, the use quality of the user is enhanced.
Description
Technical Field
The invention relates to the technical field of network fault detection, in particular to a network fault detection and diagnosis method based on 5G communication.
Background
At present, the computer network is more and more widely popularized, the number of network users is continuously increased, various fault problems are often encountered in the process of using the computer network, effective maintenance is carried out on the computer network, and the method is one of effective ways for reducing the occurrence of network fault problems.
However, in the conventional technique, the device failure cannot be detected, and the accuracy of network diagnosis is reduced.
Disclosure of Invention
The invention aims to provide a fault detection and diagnosis method based on a 5G communication network, which comprises the steps of analyzing information of a network terminal router through a device analysis unit, detecting the network terminal router, obtaining information of the network terminal router, obtaining an analysis detection coefficient ZZi of the network terminal router through a formula, judging that a corresponding network terminal router device is abnormal if the analysis detection coefficient ZZi of the network terminal router is larger than or equal to an analysis detection coefficient threshold value of the network terminal router, generating a device abnormal signal, sending the device abnormal signal and the corresponding network terminal router to a cloud detection platform, and marking the corresponding network terminal router as a device to-be-maintained router after the cloud detection platform receives the device abnormal signal; the method and the device have the advantages that the device faults are detected, the accuracy of network diagnosis is improved, the influence of damage of the router terminal on a user is effectively reduced, and meanwhile, the use quality of the user is enhanced.
The purpose of the invention can be realized by the following technical scheme:
a fault detection and diagnosis method based on a 5G communication network comprises the following specific steps:
step S1, registration and login are carried out, a manager and a maintainer register through a registration and login unit, manager information and maintainer information are submitted through a mobile phone terminal, then the manager information and the maintainer information which are successfully registered are sent to a database to be stored, the manager information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the manager, and the maintainer information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the maintainer;
step S2, analyzing and detecting the network terminal router through the device analyzing unit, if the network terminal router is normal, entering the step III, if the network terminal router is abnormal, maintaining the terminal router;
step S3, analyzing and detecting the connection circuit of the network terminal through the circuit analysis unit, if the connection circuit of the network terminal is normal, entering step four, if the connection circuit of the network terminal is abnormal, maintaining the terminal connection circuit;
step S4, network analysis, analyzing and detecting the operation of the network through a network analysis unit, if the network operation is normal, generating a no-fault signal, and if the network operation is abnormal, performing network operation maintenance;
s5, maintenance distribution, namely reasonably distributing maintenance personnel through a maintenance distribution unit;
in step S2, the device analysis unit is configured to analyze network terminal router information, so as to detect a network terminal router, where the network terminal router information includes temperature data, dust data, and frequency data, the temperature data is a difference between an internal temperature of the terminal router during operation and a temperature of an ambient environment, the dust data is a dust content of the ambient environment during operation of the terminal router, the frequency data is a frequency of shutdown of the terminal router during all day operation, and the network terminal router is marked as i, i is 1, 2, … …, n, and n is a positive integer, and a specific analysis and detection process is as follows:
step S21: acquiring the difference value between the internal temperature of the terminal router in work and the ambient temperature, and marking the difference value between the internal temperature of the terminal router in work and the ambient temperature as WCi;
step S22: acquiring the dust content of the surrounding environment when the terminal router works, and marking the dust content of the surrounding environment when the terminal router works as HCi;
step S23: acquiring the shutdown frequency of the terminal router in the all-day work, and marking the shutdown frequency of the terminal router in the all-day work as PLi;
step S24: by the formula
ObtainingAnalysis detection coefficients ZZi to the network terminal router, wherein b1, b2 and b3 are all proportionality coefficients, and b1 > b2 > b3 > 0;
step S25: comparing the analysis detection coefficient ZZi of the network terminating router with an analysis detection coefficient threshold of the network terminating router:
if the analysis detection coefficient ZZi of the network terminal router is larger than or equal to the analysis detection coefficient threshold value of the network terminal router, judging that the corresponding network terminal router is abnormal, generating a device abnormal signal, and sending the device abnormal signal and the corresponding network terminal router to a cloud detection platform, wherein the cloud detection platform marks the corresponding network terminal router as a router to be maintained of the device after receiving the device abnormal signal;
if the analysis detection coefficient ZZi of the network terminal router is smaller than the analysis detection coefficient threshold value of the network terminal router, the corresponding network terminal router is judged to be normal, a device normal signal is generated, the device normal signal and the corresponding network terminal router are sent to the cloud detection platform, and after the cloud detection platform receives the device normal signal, the corresponding network terminal router is marked as the device normal router.
Further, the line analyzing unit in step S3 is configured to analyze the connection line information of the terminal router, so as to detect the connection line of the terminal router, where the connection line information includes duration data, humidity data, and cycle data, the duration data is the operating duration of the connection line of the terminal router all day long, the humidity data is the average humidity value of the connection line surrounding environment of the terminal router all day long, the cycle data is the average replacement cycle of the connection line of the terminal router, and the specific analysis and detection process is as follows:
step S31: acquiring the all-day working time of a connection circuit of the terminal router, and marking the all-day working time of the connection circuit of the terminal router as Si;
step S32: acquiring an all-day average humidity value of the connection circuit peripheral environment of the terminal router, and marking the all-day average humidity value of the connection circuit peripheral environment of the terminal router as Di;
step S33: acquiring the average replacement cycle of the connection circuit of the terminal router, and marking the average replacement cycle of the connection circuit of the terminal router as Ti;
step S34: by the formula
Obtaining a connection line analysis detection coefficient Xi of the terminal router, wherein a1, a2 and a3 are all proportional coefficients, a1 is greater than a2 is greater than a3 is greater than 0, and e is a natural constant;
step S35: comparing the connection line analysis detection coefficient Xi of the terminal router with a connection line analysis detection coefficient threshold:
if the connection circuit analysis detection coefficient Xi of the terminal router is larger than or equal to the connection circuit analysis detection coefficient threshold, judging that the connection circuit of the corresponding terminal router is abnormal, generating a connection circuit abnormal signal and sending the connection circuit abnormal signal to the cloud detection platform, and marking the corresponding connection circuit as a circuit to be maintained after the cloud detection platform receives the connection circuit abnormal signal;
if the connection circuit analysis detection coefficient Xi of the terminal router is smaller than the connection circuit analysis detection coefficient threshold value, the connection circuit of the corresponding terminal router is judged to be normal, a connection circuit normal signal is generated, the connection circuit normal signal is sent to the cloud detection platform, and the cloud detection platform marks the corresponding connection circuit as a normal circuit after receiving the connection circuit normal signal.
Further, the network analysis unit in step S4 is configured to analyze operation information of the network, so as to detect the network, where the operation information of the network includes a buffer duration of data transfer during a network operation process, a maximum fluctuation difference of a Ping value, and an information amount transferred by the network per second, and a specific analysis and detection process is as follows:
step S41: obtaining the buffering time length of data transfer in the network operation process, and marking the buffering time length of the data transfer in the network operation process as a ZC;
step S42: acquiring the maximum fluctuation difference value of the Ping value in the network operation process, and marking the maximum fluctuation difference value of the Ping value in the network operation process as CZ;
step S43: acquiring the information quantity transmitted per second in the network operation process, and marking the information quantity transmitted per second in the network operation process as SL;
step S44: by the formula
Acquiring an analysis detection coefficient JC of network operation, wherein k1, k2 and k3 are proportional coefficients, k1 is more than k2 and more than k3 is more than 0, and alpha is an error correction factor and is taken as 2.0316545;
step S45: comparing the analysis detection coefficient JC of the network operation with the analysis detection coefficient threshold of the network operation:
if the analysis detection coefficient JC of the network operation is larger than or equal to the analysis detection coefficient threshold of the network operation, judging that the network operation is abnormal, generating a network operation abnormal signal and sending the network operation abnormal signal to a cloud detection platform, and after receiving the network operation abnormal signal, the cloud detection platform marks the corresponding network as a network to be maintained;
and if the analysis detection coefficient JC of the network operation is less than the analysis detection coefficient threshold value of the network operation, judging that the network operation is normal, generating a normal network operation signal and sending the normal network operation signal to the cloud detection platform, and after receiving the normal network operation signal, the cloud detection platform marks the corresponding network as a normal network.
Further, the maintenance allocation unit in step S5 is configured to allocate maintenance staff reasonably, where the allocation process specifically includes:
step S51: after the cloud detection platform receives any one of the router to be maintained, the line to be maintained and the network to be maintained of the device, a maintenance signal is generated and sent to the maintenance distribution unit, the maintenance distribution unit distributes maintenance personnel after receiving the maintenance signal, and marks the maintenance personnel as o, wherein o is 1, 2, … …, and m is a positive integer;
step S52: acquiring the attendance time of a maintenance worker, comparing the attendance time of the maintenance worker with the current system time, acquiring the attendance time of the maintenance worker, and marking the attendance time of the maintenance worker as Ro;
step S53: acquiring the maintenance times of maintenance personnel and the average duration spent in each maintenance, and correspondingly marking the maintenance times of the maintenance personnel and the average duration spent in each maintenance with Co and So;
step S54: by the formula
Obtaining a distribution coefficient Xo of a maintenance worker, wherein v1, v2 and v3 are all proportionality coefficients, and v1 is more than v2 is more than v3 is more than 0;
step S55: and sequencing the maintenance personnel according to the sequence of the corresponding distribution coefficients Xo from large to small, marking the maintenance personnel with the first sequencing as the selected personnel, and then sending the name of the selected personnel to the mobile phone terminal of the manager.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, a device analysis unit is used for analyzing the information of a network terminal router so as to detect the network terminal router, obtain the information of the network terminal router, obtain an analysis detection coefficient ZZi of the network terminal router through a formula, if the analysis detection coefficient ZZi of the network terminal router is more than or equal to the analysis detection coefficient threshold of the network terminal router, judge that the corresponding network terminal router device is abnormal, generate a device abnormal signal and send the device abnormal signal and the corresponding network terminal router to a cloud detection platform, and after the cloud detection platform receives the device abnormal signal, the cloud detection platform marks the corresponding network terminal router as a router to be maintained by the device; the device fault is detected, the accuracy of network diagnosis is improved, the influence of damage of the router terminal on a user is effectively reduced, and the use quality of the user is enhanced;
2. in the invention, the network analysis unit is used for analyzing the operation information of the network so as to detect the network and obtain the operation information of the network, the analysis detection coefficient JC of the network operation is obtained through a formula, if the analysis detection coefficient JC of the network operation is more than or equal to the analysis detection coefficient threshold of the network operation, the network operation is judged to be abnormal, a network operation abnormal signal is generated and sent to the cloud detection platform, and the cloud detection platform marks the corresponding network as a network to be maintained after receiving the network operation abnormal signal; if the analysis detection coefficient JC of the network operation is smaller than the analysis detection coefficient threshold value of the network operation, judging that the network operation is normal, generating a normal network operation signal and sending the normal network operation signal to a cloud detection platform, and after receiving the normal network operation signal, the cloud detection platform marks the corresponding network as a normal network; the network operation is detected, the normal operation of the network is ensured, the accuracy of the network fault detection is improved, and the influence of the network fault is reduced.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a method for detecting and diagnosing faults based on a 5G communication network includes the following steps:
step S1, registration and login are carried out, a manager and a maintainer register through a registration and login unit, manager information and maintainer information are submitted through a mobile phone terminal, then the manager information and the maintainer information which are successfully registered are sent to a database to be stored, the manager information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the manager, and the maintainer information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the maintainer;
step S2, analyzing and detecting the network terminal router through the device analyzing unit, if the network terminal router is normal, entering the step III, if the network terminal router is abnormal, maintaining the terminal router;
step S3, analyzing and detecting the connection circuit of the network terminal through the circuit analysis unit, if the connection circuit of the network terminal is normal, entering step four, if the connection circuit of the network terminal is abnormal, maintaining the terminal connection circuit;
step S4, network analysis, analyzing and detecting the operation of the network through a network analysis unit, if the network operation is normal, generating a no-fault signal, and if the network operation is abnormal, performing network operation maintenance;
s5, maintenance distribution, namely reasonably distributing maintenance personnel through a maintenance distribution unit;
in step S2, the device analysis unit is configured to analyze network terminal router information, so as to detect a network terminal router, where the network terminal router information includes temperature data, dust data, and frequency data, the temperature data is a difference between an internal temperature of the terminal router during operation and a temperature of an ambient environment, the dust data is a dust content of the ambient environment during operation of the terminal router, the frequency data is a frequency of shutdown of the terminal router during all day operation, and the network terminal router is marked as i, i is 1, 2, … …, n, and n is a positive integer, and a specific analysis and detection process is as follows:
step S21: acquiring the difference value between the internal temperature of the terminal router in work and the ambient temperature, and marking the difference value between the internal temperature of the terminal router in work and the ambient temperature as WCi;
step S22: acquiring the dust content of the surrounding environment when the terminal router works, and marking the dust content of the surrounding environment when the terminal router works as HCi;
step S23: acquiring the shutdown frequency of the terminal router in the all-day work, and marking the shutdown frequency of the terminal router in the all-day work as PLi;
step S24: by the formula
Obtaining an analysis detection coefficient ZZi of the network terminal router, wherein b1, b2 and b3 are all proportional coefficients, and b1 is more than b2 is more than b3 is more than 0;
step S25: comparing the analysis detection coefficient ZZi of the network terminating router with an analysis detection coefficient threshold of the network terminating router:
if the analysis detection coefficient ZZi of the network terminal router is larger than or equal to the analysis detection coefficient threshold value of the network terminal router, judging that the corresponding network terminal router is abnormal, generating a device abnormal signal, and sending the device abnormal signal and the corresponding network terminal router to a cloud detection platform, wherein the cloud detection platform marks the corresponding network terminal router as a router to be maintained of the device after receiving the device abnormal signal;
if the analysis detection coefficient ZZi of the network terminal router is smaller than the analysis detection coefficient threshold value of the network terminal router, judging that the corresponding network terminal router device is normal, generating a device normal signal, and sending the device normal signal and the corresponding network terminal router to the cloud detection platform, wherein the cloud detection platform marks the corresponding network terminal router as the device normal router after receiving the device normal signal;
the step S3 is a step S for analyzing the connection circuit information of the terminal router, so as to detect the connection circuit of the terminal router, where the connection circuit information includes time length data, humidity data and cycle data, the time length data is the whole-day working time of the connection circuit of the terminal router, the humidity data is the whole-day average humidity value of the connection circuit surrounding environment of the terminal router, the cycle data is the average replacement cycle of the connection circuit of the terminal router, and the specific analysis and detection process is as follows:
step S31: acquiring the all-day working time of a connection circuit of the terminal router, and marking the all-day working time of the connection circuit of the terminal router as Si;
step S32: acquiring an all-day average humidity value of the connection circuit peripheral environment of the terminal router, and marking the all-day average humidity value of the connection circuit peripheral environment of the terminal router as Di;
step S33: acquiring the average replacement cycle of the connection circuit of the terminal router, and marking the average replacement cycle of the connection circuit of the terminal router as Ti;
step S34: by the formula
Obtaining a connection line analysis detection coefficient Xi of the terminal router, wherein a1, a2 and a3 are all proportional coefficients, a1 is greater than a2 is greater than a3 is greater than 0, and e is a natural constant;
step S35: comparing the connection line analysis detection coefficient Xi of the terminal router with a connection line analysis detection coefficient threshold:
if the connection circuit analysis detection coefficient Xi of the terminal router is larger than or equal to the connection circuit analysis detection coefficient threshold, judging that the connection circuit of the corresponding terminal router is abnormal, generating a connection circuit abnormal signal and sending the connection circuit abnormal signal to the cloud detection platform, and marking the corresponding connection circuit as a circuit to be maintained after the cloud detection platform receives the connection circuit abnormal signal;
if the connection line analysis detection coefficient Xi of the terminal router is smaller than the connection line analysis detection coefficient threshold value, judging that the connection line of the corresponding terminal router is normal, generating a normal connection line signal and sending the normal connection line signal to the cloud detection platform, and marking the corresponding connection line as a normal line after the cloud detection platform receives the normal connection line signal;
the network analysis unit in step S4 is configured to analyze the operation information of the network, so as to detect the network, where the operation information of the network includes a buffer duration for data transfer in a network operation process, a maximum fluctuation difference of a Ping value, and an information amount transferred by the network per second, and a specific analysis and detection process is as follows:
step S41: obtaining the buffering time length of data transfer in the network operation process, and marking the buffering time length of the data transfer in the network operation process as a ZC;
step S42: acquiring the maximum fluctuation difference value of the Ping value in the network operation process, and marking the maximum fluctuation difference value of the Ping value in the network operation process as CZ;
step S43: acquiring the information quantity transmitted per second in the network operation process, and marking the information quantity transmitted per second in the network operation process as SL;
step S44: by the formula
Acquiring an analysis detection coefficient JC of network operation, wherein k1, k2 and k3 are proportional coefficients, k1 is more than k2 and more than k3 is more than 0, and alpha is an error correction factor and is taken as 2.0316545;
step S45: comparing the analysis detection coefficient JC of the network operation with the analysis detection coefficient threshold of the network operation:
if the analysis detection coefficient JC of the network operation is larger than or equal to the analysis detection coefficient threshold of the network operation, judging that the network operation is abnormal, generating a network operation abnormal signal and sending the network operation abnormal signal to a cloud detection platform, and after receiving the network operation abnormal signal, the cloud detection platform marks the corresponding network as a network to be maintained;
if the analysis detection coefficient JC of the network operation is smaller than the analysis detection coefficient threshold value of the network operation, judging that the network operation is normal, generating a normal network operation signal and sending the normal network operation signal to a cloud detection platform, and after receiving the normal network operation signal, the cloud detection platform marks the corresponding network as a normal network;
the maintenance distribution unit in the step S5 is used for reasonably distributing maintenance staff, and the specific distribution process is as follows:
step S51: after the cloud detection platform receives any one of the router to be maintained, the line to be maintained and the network to be maintained of the device, a maintenance signal is generated and sent to the maintenance distribution unit, the maintenance distribution unit distributes maintenance personnel after receiving the maintenance signal, and marks the maintenance personnel as o, wherein o is 1, 2, … …, and m is a positive integer;
step S52: acquiring the attendance time of a maintenance worker, comparing the attendance time of the maintenance worker with the current system time, acquiring the attendance time of the maintenance worker, and marking the attendance time of the maintenance worker as Ro;
step S53: acquiring the maintenance times of maintenance personnel and the average duration spent in each maintenance, and correspondingly marking the maintenance times of the maintenance personnel and the average duration spent in each maintenance with Co and So;
step S54: by the formula
Obtaining a distribution coefficient Xo of a maintenance worker, wherein v1, v2 and v3 are all proportionality coefficients, and v1 is more than v2 is more than v3 is more than 0;
step S55: and sequencing the maintenance personnel according to the sequence of the corresponding distribution coefficients Xo from large to small, marking the maintenance personnel with the first sequencing as the selected personnel, and then sending the name of the selected personnel to the mobile phone terminal of the manager.
The working principle of the invention is as follows:
a fault detection and diagnosis method based on a 5G communication network comprises the steps that during working, registration and login are carried out, managers and maintenance personnel register through a registration and login unit, manager information and maintenance personnel information are submitted through a mobile phone terminal, and then the manager information and the maintenance personnel information which are successfully registered are sent to a database to be stored; analyzing the device, analyzing and detecting the network terminal router through the device analyzing unit, entering the step three if the network terminal router is normal, and maintaining the terminal router if the network terminal router is abnormal; the line analysis, the connecting line of the network terminal is analyzed and detected through the line analysis unit, if the connecting line of the network terminal is normal, enter step four, if the connecting line of the network terminal is abnormal, carry on the terminal connecting line to maintain; network analysis, wherein the operation of the network is analyzed and detected through a network analysis unit, if the network operates normally, a fault-free signal is generated, and if the network operates abnormally, the network operates and is maintained; and maintenance distribution, namely reasonably distributing maintenance personnel through a maintenance distribution unit.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. A fault detection and diagnosis method based on a 5G communication network is characterized in that the specific fault detection and diagnosis method comprises the following specific steps:
step S1, registration and login are carried out, a manager and a maintainer register through a registration and login unit, manager information and maintainer information are submitted through a mobile phone terminal, then the manager information and the maintainer information which are successfully registered are sent to a database to be stored, the manager information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the manager, and the maintainer information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the maintainer;
step S2, analyzing and detecting the network terminal router through the device analyzing unit, if the network terminal router is normal, entering the step III, if the network terminal router is abnormal, maintaining the terminal router;
step S3, analyzing and detecting the connection circuit of the network terminal through the circuit analysis unit, if the connection circuit of the network terminal is normal, entering step four, if the connection circuit of the network terminal is abnormal, maintaining the terminal connection circuit;
step S4, network analysis, analyzing and detecting the operation of the network through a network analysis unit, if the network operation is normal, generating a no-fault signal, and if the network operation is abnormal, performing network operation maintenance;
s5, maintenance distribution, namely reasonably distributing maintenance personnel through a maintenance distribution unit;
in step S2, the device analysis unit is configured to analyze network terminal router information, so as to detect a network terminal router, where the network terminal router information includes temperature data, dust data, and frequency data, the temperature data is a difference between an internal temperature of the terminal router during operation and a temperature of an ambient environment, the dust data is a dust content of the ambient environment during operation of the terminal router, the frequency data is a frequency of shutdown of the terminal router during all day operation, and the network terminal router is marked as i, i is 1, 2, … …, n, and n is a positive integer, and a specific analysis and detection process is as follows:
step S21: acquiring the difference value between the internal temperature of the terminal router in work and the ambient temperature, and marking the difference value between the internal temperature of the terminal router in work and the ambient temperature as WCi;
step S22: acquiring the dust content of the surrounding environment when the terminal router works, and marking the dust content of the surrounding environment when the terminal router works as HCi;
step S23: acquiring the shutdown frequency of the terminal router in the all-day work, and marking the shutdown frequency of the terminal router in the all-day work as PLi;
step S24: by the formula
Obtaining an analysis detection coefficient ZZi of the network terminal router, wherein b1, b2 and b3 are all proportional coefficients, and b1 is more than b2 is more than b3 is more than 0;
step S25: comparing the analysis detection coefficient ZZi of the network terminating router with an analysis detection coefficient threshold of the network terminating router:
if the analysis detection coefficient ZZi of the network terminal router is larger than or equal to the analysis detection coefficient threshold value of the network terminal router, judging that the corresponding network terminal router is abnormal, generating a device abnormal signal, and sending the device abnormal signal and the corresponding network terminal router to a cloud detection platform, wherein the cloud detection platform marks the corresponding network terminal router as a router to be maintained of the device after receiving the device abnormal signal;
if the analysis detection coefficient ZZi of the network terminal router is smaller than the analysis detection coefficient threshold value of the network terminal router, the corresponding network terminal router is judged to be normal, a device normal signal is generated, the device normal signal and the corresponding network terminal router are sent to the cloud detection platform, and after the cloud detection platform receives the device normal signal, the corresponding network terminal router is marked as the device normal router.
2. The method according to claim 1, wherein the line analyzing unit is configured to analyze the connection line information of the terminal router in step S3, so as to detect the connection line of the terminal router, the connection line information includes duration data, humidity data, and cycle data, the duration data is a whole-day operating duration of the connection line of the terminal router, the humidity data is a whole-day average humidity value of the connection line surrounding environment of the terminal router, and the cycle data is a whole-day average replacement cycle of the connection line of the terminal router, and the specific analysis and detection process is as follows:
step S31: acquiring the all-day working time of a connection circuit of the terminal router, and marking the all-day working time of the connection circuit of the terminal router as Si;
step S32: acquiring an all-day average humidity value of the connection circuit peripheral environment of the terminal router, and marking the all-day average humidity value of the connection circuit peripheral environment of the terminal router as Di;
step S33: acquiring the average replacement cycle of the connection circuit of the terminal router, and marking the average replacement cycle of the connection circuit of the terminal router as Ti;
step S34: by the formula
Obtaining a connection line analysis detection coefficient Xi of the terminal router, wherein a1, a2 and a3 are all proportional coefficients, a1 is greater than a2 is greater than a3 is greater than 0, and e is a natural constant;
step S35: comparing the connection line analysis detection coefficient Xi of the terminal router with a connection line analysis detection coefficient threshold:
if the connection circuit analysis detection coefficient Xi of the terminal router is larger than or equal to the connection circuit analysis detection coefficient threshold, judging that the connection circuit of the corresponding terminal router is abnormal, generating a connection circuit abnormal signal and sending the connection circuit abnormal signal to the cloud detection platform, and marking the corresponding connection circuit as a circuit to be maintained after the cloud detection platform receives the connection circuit abnormal signal;
if the connection circuit analysis detection coefficient Xi of the terminal router is smaller than the connection circuit analysis detection coefficient threshold value, the connection circuit of the corresponding terminal router is judged to be normal, a connection circuit normal signal is generated, the connection circuit normal signal is sent to the cloud detection platform, and the cloud detection platform marks the corresponding connection circuit as a normal circuit after receiving the connection circuit normal signal.
3. The method according to claim 1, wherein the network analysis unit in step S4 is configured to analyze operation information of the network, so as to detect the network, the operation information of the network includes a buffering duration of data transfer during the operation of the network, a maximum fluctuation difference of Ping values, and an amount of information transferred per second by the network, and the specific analysis and detection process is as follows:
step S41: obtaining the buffering time length of data transfer in the network operation process, and marking the buffering time length of the data transfer in the network operation process as a ZC;
step S42: acquiring the maximum fluctuation difference value of the Ping value in the network operation process, and marking the maximum fluctuation difference value of the Ping value in the network operation process as CZ;
step S43: acquiring the information quantity transmitted per second in the network operation process, and marking the information quantity transmitted per second in the network operation process as SL;
step S44: by the formula
Acquiring an analysis detection coefficient JC of network operation, wherein k1, k2 and k3 are proportional coefficients, k1 is more than k2 and more than k3 is more than 0, and alpha is an error correction factor and is taken as 2.0316545;
step S45: comparing the analysis detection coefficient JC of the network operation with the analysis detection coefficient threshold of the network operation:
if the analysis detection coefficient JC of the network operation is larger than or equal to the analysis detection coefficient threshold of the network operation, judging that the network operation is abnormal, generating a network operation abnormal signal and sending the network operation abnormal signal to a cloud detection platform, and after receiving the network operation abnormal signal, the cloud detection platform marks the corresponding network as a network to be maintained;
and if the analysis detection coefficient JC of the network operation is less than the analysis detection coefficient threshold value of the network operation, judging that the network operation is normal, generating a normal network operation signal and sending the normal network operation signal to the cloud detection platform, and after receiving the normal network operation signal, the cloud detection platform marks the corresponding network as a normal network.
4. The method according to claim 1, wherein the maintenance allocation unit in step S5 is configured to allocate maintenance staff reasonably, and the allocation process is as follows:
step S51: after the cloud detection platform receives any one of the router to be maintained, the line to be maintained and the network to be maintained of the device, a maintenance signal is generated and sent to the maintenance distribution unit, the maintenance distribution unit distributes maintenance personnel after receiving the maintenance signal, and marks the maintenance personnel as o, wherein o is 1, 2, … …, and m is a positive integer;
step S52: acquiring the attendance time of a maintenance worker, comparing the attendance time of the maintenance worker with the current system time, acquiring the attendance time of the maintenance worker, and marking the attendance time of the maintenance worker as Ro;
step S53: acquiring the maintenance times of maintenance personnel and the average duration spent in each maintenance, and correspondingly marking the maintenance times of the maintenance personnel and the average duration spent in each maintenance with Co and So;
step S54: by the formula
Obtaining a distribution coefficient Xo of a maintenance worker, wherein v1, v2 and v3 are all proportionality coefficients, and v1 is more than v2 is more than v3 is more than 0;
step S55: and sequencing the maintenance personnel according to the sequence of the corresponding distribution coefficients Xo from large to small, marking the maintenance personnel with the first sequencing as the selected personnel, and then sending the name of the selected personnel to the mobile phone terminal of the manager.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114374626A (en) * | 2022-01-19 | 2022-04-19 | 广州鲁邦通物联网科技股份有限公司 | Router performance detection method under 5G network condition |
| CN114615702A (en) * | 2022-04-18 | 2022-06-10 | 东南大学成贤学院 | Fault detection and diagnosis system based on 5G communication network |
| CN114785668A (en) * | 2022-03-28 | 2022-07-22 | 南京福润耐特网络科技有限公司 | Router remote control system |
| CN117135073A (en) * | 2023-10-26 | 2023-11-28 | 深圳市通恒伟创科技有限公司 | CPE signal strength monitoring system based on 5G router |
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2021
- 2021-09-29 CN CN202111148337.3A patent/CN113835417A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114374626A (en) * | 2022-01-19 | 2022-04-19 | 广州鲁邦通物联网科技股份有限公司 | Router performance detection method under 5G network condition |
| CN114785668A (en) * | 2022-03-28 | 2022-07-22 | 南京福润耐特网络科技有限公司 | Router remote control system |
| CN114615702A (en) * | 2022-04-18 | 2022-06-10 | 东南大学成贤学院 | Fault detection and diagnosis system based on 5G communication network |
| CN117135073A (en) * | 2023-10-26 | 2023-11-28 | 深圳市通恒伟创科技有限公司 | CPE signal strength monitoring system based on 5G router |
| CN117135073B (en) * | 2023-10-26 | 2024-01-09 | 深圳市通恒伟创科技有限公司 | CPE signal strength monitoring system based on 5G router |
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