CN116980958A - Radio equipment electric fault monitoring method and system based on data identification - Google Patents
Radio equipment electric fault monitoring method and system based on data identification Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W24/04—Arrangements for maintaining operational condition
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Abstract
The application discloses a wireless equipment radio fault monitoring method and system based on data identification, which belong to the field of electric performance testing.
Description
Technical Field
The application belongs to the technical field of electrical performance testing, and particularly relates to a wireless equipment electrical fault monitoring method and system based on data identification.
Background
The wireless transmitting equipment has wide application fields including radio broadcasting, radio communication, infrared remote control, wireless video transmission and the like, according to different application scenes and requirements, the wireless transmitting equipment can adopt different technologies and frequency bands, such as Bluetooth, wi-Fi, zigBee and infrared rays, the wireless transmitting equipment has wide application in life, along with the continuous development of wireless communication technology, the wireless transmitting equipment plays an important role in more fields, such as intelligent home, the Internet of things and the like, but the wireless equipment is easy to have network instability, transmission failure and other faults in the use process, in the prior art, most fault monitoring systems cannot acquire and analyze abnormal signals at any time in time, the collected wireless equipment information needs to be manually analyzed for faults, judgment can not be made at the first time after the faults occur, maintenance time is delayed, and the prior art is not suitable for a fault monitoring system of the wireless transmitting equipment, and the problems are always existed in the prior art;
for example, in chinese patent application publication No. CN102025196a, an SOA architecture-based power grid device monitoring and fault positioning wireless system is disclosed, where the system includes an information acquisition module, a data processing module, a communication module, a power module and a background processing module, where the information acquisition module acquires operating state parameters of the power grid device and transmits the acquired parameters to the data processing module, the data processing module processes and displays the parameters, and transmits processed power grid device data to the background processing module through the communication module and the Internet network, and the background processing module monitors the received power grid device data and positions the fault, and the power module is connected with the information acquisition module, the data processing module and the communication module. The application adopts the wireless sensor network, is connected with the Internet network through the GPRS network, and adopts the GPS and GIS technologies to realize the real-time monitoring and fault positioning of the power grid equipment, thereby meeting the current safe operation of the power distribution network. The application can be widely applied to power distribution networks.
Meanwhile, for example, in chinese patent application publication No. CN113985193a, a wireless power failure monitoring system and a monitoring method are disclosed, where the wireless power failure monitoring system includes a control host, a gateway, a wireless communication module and a monitoring terminal; the monitoring terminal comprises a direct current power supply detection circuit, an alternating current power supply detection circuit and a switching value output control circuit, and the direct current power supply detection circuit, the alternating current power supply detection circuit and the switching value output control circuit are all connected with the electromechanical equipment to be tested; the monitoring terminal can realize the functions of data transmission, direct current power supply detection, alternating current power supply detection and switching value output control based on the command of the control host, can accurately monitor the power failure of the electromechanical equipment in the tunnel, and meets the requirements of high-efficiency and intelligent operation and maintenance of the electromechanical equipment in the tunnel.
The problems proposed in the background art exist in the above patents: most fault monitoring systems cannot collect, analyze and process abnormal signals at any time in time, the collected wireless equipment information needs to be manually analyzed for faults, judgment cannot be made at the first time after the faults occur, and maintenance time is delayed.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a wireless equipment electric fault monitoring method and a system based on data identification, wherein the wireless equipment operation power data and network transmission data are collected through an acquisition terminal and stored in a database, the power data in the database are extracted, the power data are guided into a power threat value calculation strategy to calculate a power threat value, the network transmission data in the database are extracted, the network transmission threat value calculation strategy is guided into the network transmission threat value calculation strategy to calculate a network transmission threat value, the power threat value and the network transmission threat value are guided into the equipment threat value calculation strategy to calculate an equipment threat value, whether the equipment threat value is larger than a set equipment threat threshold value is judged, a fault maintenance instruction is issued to maintenance personnel, the monitoring data are transmitted to the maintenance personnel, the occurrence of faults is judged in a multi-data fusion mode, and the accuracy of fault early warning is further improved.
In order to achieve the above purpose, the present application provides the following technical solutions:
a wireless equipment electrical fault monitoring method based on data identification comprises the following specific steps:
s1, acquiring wireless equipment operation power data and network transmission data through an acquisition terminal, and storing the data in a database, wherein the power data comprise equipment operation current, voltage and temperature data, and the network transmission data comprise connection equipment position and network transmission speed data;
s2, extracting power data in a database, and importing the power data into a power threat value calculation strategy to calculate a power threat value;
s3, extracting network transmission data in a database, and importing the network transmission threat value calculation strategy to calculate a network transmission threat value;
s4, importing the electric threat value and the network transmission threat value into a device threat value calculation strategy, and calculating the device threat value;
s5, judging whether the equipment threat value is larger than a set equipment threat threshold value, if so, operating the step S6, and if not, operating the step S7;
s6, issuing a fault maintenance instruction to a maintenance person, and transmitting monitoring data to the maintenance person;
and S7, not issuing a fault maintenance instruction.
Specifically, the step S1 includes the following specific steps:
s11, setting a data acquisition window, acquiring power data of wireless equipment operation in the window, integrating the data according to a time sequence, and establishing a power data change line graph comprising a current line graph, a voltage line graph and a temperature line graph;
s12, obtaining an average value of running current data, an average value of voltage data and an average value of temperature data of the equipment at a window time by averaging the power data change line graph;
s13, acquiring a voltage fluctuation value and a current fluctuation value, wherein the voltage fluctuation value is acquired in the following manner: extracting specific values of voltages in the voltage line diagram in each time period in the acquisition window, and simultaneously averaging the voltage dataThe calculation formula of the extracted voltage fluctuation value is as follows: />Wherein->For the voltage value of the ith time period, < +.>The time length of the ith time period is the time length of the ith time period, and n is the number of the time periods; the current fluctuation value is obtained by the following steps: extracting specific values of current in the current line diagram in each time period in the acquisition window, and simultaneously taking the average value of current data +.>The calculation formula of the extracted current fluctuation value is as follows:wherein->For the current value of the ith time period, +.>The time length of the ith time period is the time length of the ith time period, and n is the number of the time periods;
s14, collecting position and network transmission speed data of each connecting device;
s15, taking an average value of running current data, an average value of voltage data, an average value of temperature data, a voltage fluctuation value and a current fluctuation value of equipment as a first dimension vector, taking the position of each connecting equipment and network transmission speed data as a second dimension vector, and storing the obtained data in a database in the form of the two dimension vector.
Specifically, the specific steps of the power threat value calculation strategy in S2 are as follows:
s21, extracting the average value of running current data, the average value of voltage data and the average value data of temperature data of equipment at the time of a collection window stored in a database, and obtaining a voltage fluctuation value and a current fluctuation value;
s22, simultaneously extracting an equipment operation current data safety value range, a voltage data safety value range, a temperature safety value range, a voltage fluctuation safety value range and a current fluctuation safety value range of equipment operation;
s23, substituting an average value of running current data of the equipment, an average value of voltage data, an average value of temperature data, a voltage fluctuation value, a current fluctuation value, a safety value range of running current data of the equipment, a safety value range of voltage data, a safety value range of temperature data, a safety value range of voltage fluctuation and a safety value range of current fluctuation into a power threat value calculation formula to calculate a power threat value;
s24, a calculation formula of the electric threat value is as follows:wherein->For the maximum value of the voltage fluctuation safety value range, +.>For the maximum value of the current fluctuation safety value range, m is the average value of the running current data of the equipment, the average value of the voltage data and the data item number of the average value data of the temperature data, +.>For the duty factor of the j-th item of the mean value of the running current data, the mean value of the voltage data, the mean value data of the temperature data of the device, +.>Value of j-th item of average value of running current data, average value of voltage data, average value data of temperature data for equipment,/>Mean value of running current data and mean value of voltage data for equipmentMaximum value of safety range corresponding to jth item of data of average value data of temperature data, +.>For the mean value of the device operating current data, the mean value of the voltage data, the minimum value of the safety range corresponding to the jth item of data of the mean value data of the temperature data, +.>。
Specifically, the specific steps of the network transmission threat value calculation strategy in S3 are as follows:
s31, extracting connection equipment position and network transmission speed data, and calculating a loss value of signal transmission through the connection equipment position and the wireless equipment position, wherein a loss value calculation formula is as follows:wherein D is signal propagation distance, F is frequency of signal, c is light speed, G is gain in transmission, meanwhile, signal intensity of the position of the connecting device and signal intensity of the wireless device to be transmitted are extracted, and are substituted into a signal intensity gap value calculation formula to calculate signal intensity gap value, wherein the signal intensity gap value calculation formula is as follows: />Wherein->For the number of connected devices>Signal strength for the z-th connection device position, < >>The signal loss of the z-th connection device is s, and the signal strength required to be transmitted by the wireless device is s;
s32, extracting network transmission speed data of each connecting device, substituting the network transmission speed data into a network transmission speed difference value calculation formula to calculate a network transmission speed difference value,the calculation formula of the network transmission speed difference value is as follows:wherein Q is the standard output network speed of the wireless device, < >>The network speed of the z-th connection device;
s33, substituting the signal strength difference value and the network transmission speed difference value into a network transmission threat value calculation formula to calculate a network transmission threat value, wherein the network transmission threat value calculation formula is as follows:。
specifically, the specific steps of the device threat value calculation strategy in S4 are as follows:
s41, extracting the calculated power threat value and the network transmission threat value, substituting the power threat value and the network transmission threat value into a device threat value calculation formula, and calculating the device threat value;
s42, calculating a device threat value according to the following formula:wherein->As a factor of the duty cycle of the power threat,threat duty cycle for network transmission, +.>。
Specifically, the specific content of S6 is:
and synchronously transmitting the wireless equipment operation power data and the network transmission data to an overhauling personnel when issuing the troubleshooting instruction.
A wireless equipment electric fault monitoring system based on data identification specifically comprises: the system comprises a control module, a data acquisition module, a data extraction module, a power threat value calculation module, a network transmission threat value calculation module, an equipment threat value calculation module, a data comparison module and a maintenance instruction issuing module; the control module is used for controlling the operation of the data acquisition module, the data extraction module, the power threat value calculation module, the network transmission threat value calculation module, the equipment threat value calculation module, the data comparison module and the maintenance instruction issuing module, wherein the data acquisition module is used for acquiring wireless equipment operation power data and network transmission data through the acquisition terminal and storing the wireless equipment operation power data and the network transmission data in the database, the data extraction module is used for extracting data in the database according to requirements, the power threat value calculation module is used for leading the power data into the power threat value calculation strategy to perform power threat value calculation, the network transmission threat value calculation module is used for leading the network transmission data into the network transmission threat value calculation strategy to perform network transmission threat value calculation, the equipment threat value calculation module is used for leading the power threat value and the network transmission threat value into the equipment threat value calculation strategy to perform equipment threat value calculation, the data comparison module is used for judging whether the equipment threat value is larger than a set equipment threat threshold, and the maintenance instruction issuing module is used for issuing fault instructions to maintenance personnel and transmitting monitoring data to the maintenance personnel.
Specifically, the data acquisition module comprises a voltage acquisition unit, a current acquisition unit, a temperature acquisition unit, a connection equipment position acquisition unit, a connection equipment signal intensity acquisition unit and a connection equipment network transmission speed acquisition unit, wherein the voltage acquisition unit is used for acquiring voltage data of wireless equipment in a window, the current acquisition unit is used for acquiring current data of the wireless equipment in the window, the temperature acquisition unit is used for acquiring temperature data of the wireless equipment in the window, the connection equipment position acquisition unit is used for acquiring position data of the connection equipment, the connection equipment signal intensity acquisition unit is used for acquiring signal intensity data of the connection equipment, and the connection equipment network transmission speed acquisition unit is used for acquiring network transmission speed data of the connection equipment.
An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
the processor executes a wireless device electrical fault monitoring method based on data identification as described above by invoking a computer program stored in the memory.
A computer readable storage medium storing instructions that when executed on a computer cause the computer to perform a method of wireless device electrical fault monitoring based on data identification as described above.
Compared with the prior art, the application has the beneficial effects that:
according to the application, the wireless equipment operation power data and the network transmission data are collected through the collection terminal and stored in the database, the power data in the database are extracted, the power data are imported into the power threat value calculation strategy to calculate the power threat value, the network transmission data in the database are extracted, the network transmission threat value calculation strategy is imported into the network transmission threat value calculation strategy to calculate the network transmission threat value, the power threat value and the network transmission threat value are imported into the equipment threat value calculation strategy to calculate the equipment threat value, whether the equipment threat value is larger than a set equipment threat threshold value is judged, a fault maintenance instruction is issued to maintenance personnel, the monitoring data are transmitted to the maintenance personnel, the occurrence of faults is judged in a multi-data fusion mode, and the accuracy of fault early warning is further improved.
Drawings
Fig. 1 is a flow chart of a method for monitoring radio equipment for radio faults based on data identification according to the present application;
fig. 2 is a schematic flow chart of step S1 of the radio equipment failure monitoring method based on data identification according to the present application;
FIG. 3 is a schematic diagram of the overall framework of a wireless device electrical fault monitoring system based on data identification in accordance with the present application;
fig. 4 is a schematic diagram of a basic constitution data acquisition unit frame of the wireless device electric fault monitoring system based on data identification;
fig. 5 is a schematic representation of the location of a wireless device and the location of a connected device for which the wireless device electrical fault monitoring system of the present application is based on data identification.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments.
Example 1
Referring to fig. 1 and 2, an embodiment of the present application is provided: a wireless equipment electrical fault monitoring method based on data identification comprises the following specific steps:
the method comprises the following specific steps:
s1, acquiring wireless equipment operation power data and network transmission data through an acquisition terminal, and storing the data in a database, wherein the power data comprise equipment operation current, voltage and temperature data, the network transmission data comprise connection equipment position and network transmission speed data, and the safe range value of each power data, the signal intensity of the connection equipment position and the signal intensity required to be transmitted by wireless equipment are stored in a repository;
an example code implementation is inserted here:
import datetime
import sqlite3
def collect_power_data():
# simulation acquisition equipment operation power data
current=10.5# device running current (unit: ampere)
voltage=220# device operating voltage (unit: volt)
temperature=35# equipment temperature (unit: degrees celsius)
return current, voltage, temperature
def collect_network_data():
# analog acquisition network transmission data
device_location= "# connected device location
network_speed= # network transmission speed (unit: mbps)
return device_location, network_speed
def save_data_to_database(current, voltage, temperature, location, speed):
# connect database and save data
conn = sqlite3.connect('data.db')
cursor = conn.cursor()
# Create data table (if not present)
cursor.execute('''
CREATE TABLE IF NOT EXISTS power_network_data (
id INTEGER PRIMARY KEY AUTOINCREMENT,
timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
current FLOAT,
voltage FLOAT,
temperature FLOAT,
location TEXT,
speed FLOAT
)
''')
# insert data
cursor.execute('''
INSERT INTO power_network_data (current, voltage, temperature, location, speed)
VALUES (?, ?, ?, ?, ?)
''', (current, voltage, temperature, location, speed))
Commit change and close database connection
conn.commit()
conn.close()
# Main program logic
if __name__ == '__main__':
current, voltage, temperature = collect_power_data()
location, speed = collect_network_data()
save_data_to_database(current, voltage, temperature, location, speed)
In this embodiment, S1 includes the following specific steps:
s11, setting a data acquisition window, acquiring power data of wireless equipment operation in the window, integrating the data according to a time sequence, and establishing a power data change line graph;
s12, obtaining an average value of running current data, an average value of voltage data and an average value of temperature data of the equipment at a window time by averaging the power data change line graph;
s13, acquiring a voltage fluctuation value and a current fluctuation value, wherein the voltage fluctuation value is acquired in the following manner: extracting specific values of voltages in the voltage line diagram in each time period in the acquisition window, and simultaneously averaging the voltage dataThe calculation formula of the extracted voltage fluctuation value is as follows: />Wherein->For the voltage value of the ith time period, < +.>For the duration of the ith time period, n is the number of time periods, and the current fluctuation value is obtained by the following steps: extracting specific values of current in the current line diagram in each time period in the acquisition window, and simultaneously taking the average value of current data +.>The calculation formula of the extracted current fluctuation value is as follows:wherein->For the current value of the ith time period, +.>The time length of the ith time period is the time length of the ith time period, and n is the number of the time periods;
since current and voltage fluctuations herein are also an important factor in consideration of wireless device failure, the current and voltage fluctuations are calculated;
s14, collecting position and network transmission speed data of each connecting device;
here, since the wireless device needs to be monitored for faults, the signal strength and the signal transmission speed of the wireless device are an important index of the wireless device;
s15, taking an average value of running current data, an average value of voltage data, an average value of temperature data, a voltage fluctuation value and a current fluctuation value of equipment as a first dimension vector, taking the position of each connecting equipment and network transmission speed data as a second dimension vector, and storing the obtained data in a database in the form of the two dimension vector;
s2, extracting power data in a database, and importing the power data into a power threat value calculation strategy to calculate a power threat value;
in this embodiment, the specific steps of the power threat value calculation strategy in S2 are as follows:
s21, extracting the average value of running current data, the average value of voltage data and the average value data of temperature data of equipment at the time of a collection window stored in a database, and obtaining a voltage fluctuation value and a current fluctuation value;
s22, extracting a safety value range of equipment operation current data, a safety value range of voltage data, a safety value range of temperature and a safety value range of voltage fluctuation and a safety value range of current fluctuation at the same time;
s23, substituting an average value of equipment operation current data, an average value of voltage data, an average value of temperature data, a voltage fluctuation value, a current fluctuation value and an equipment operation current data safety value range into a power threat value calculation formula to calculate a power threat value;
s24, a calculation formula of the electric threat value is as follows:wherein->For the maximum value of the voltage fluctuation safety value range, +.>For the maximum value of the current fluctuation safety value range, m is the average value of the running current data of the equipment, the average value of the voltage data and the data item number of the average value data of the temperature data, +.>For the duty factor of the j-th item of the mean value of the running current data, the mean value of the voltage data, the mean value data of the temperature data of the device, +.>Value of j-th item of average value of running current data, average value of voltage data, average value data of temperature data for equipment,/>For the average value of the running current data of the device, the average value of the voltage data, the maximum value of the safety range corresponding to the jth item of data of the average value data of the temperature data, +.>For the mean value of the device operating current data, the mean value of the voltage data, the minimum value of the safety range corresponding to the jth item of data of the mean value data of the temperature data, +.>；
S3, extracting network transmission data in a database, and importing the network transmission threat value calculation strategy to calculate a network transmission threat value;
in this embodiment, the specific steps of the network transmission threat value calculation policy in S3 are as follows:
s31, extracting connection equipment position and network transmission speed data, and calculating a loss value of signal transmission through the connection equipment position and the wireless equipment position, wherein a loss value calculation formula is as follows:wherein D is signal propagation distance, F is frequency of signal, c is light speed, G is gain in transmission, meanwhile, signal intensity of the position of the connecting device and signal intensity of the wireless device to be transmitted are extracted, and are substituted into a signal intensity gap value calculation formula to calculate signal intensity gap value, wherein the signal intensity gap value calculation formula is as follows: />Wherein->For the number of connected devices>Signal strength for the z-th connection device position, < >>The signal loss of the z-th connection device is s, and the signal strength required to be transmitted by the wireless device is s;
s32, extracting network transmission speed data of each connecting device, substituting the network transmission speed data into a network transmission speed difference value calculation formula to calculate a network transmission speed difference value, wherein the network transmission speed difference value calculation formula is as follows:wherein Q is the standard output network speed of the wireless device, < >>The network speed of the z-th connection device;
s33, importing the signal strength difference value and the network transmission speed difference value into a network transmission threat value calculation formula to calculate network transmissionThe calculation formula of the threat value of the network transmission is as follows:；
s4, importing the electric threat value and the network transmission threat value into a device threat value calculation strategy, and calculating the device threat value;
in this embodiment, the specific steps of the device threat value calculation policy in S4 are:
s41, extracting the calculated power threat value and the network transmission threat value, substituting the power threat value and the network transmission threat value into a device threat value calculation formula, and calculating the device threat value;
s42, calculating a device threat value according to the following formula:wherein->For the power threat duty cycle, +.>Threat duty cycle for network transmission, +.>Here, it is to be noted that +.>And->The method can be flexibly set according to different equipment types, and is realized by inviting 500 experts in the field to score and then averaging;
s5, judging whether the equipment threat value is larger than a set equipment threat threshold value, if so, operating the step S6, and if not, executing the step S7; the equipment threat threshold can be flexibly set according to different equipment types, and is realized by inviting 500 experts in the field to score and then averaging;
s6, issuing a fault maintenance instruction to a maintenance person, and transmitting monitoring data to the maintenance person;
in this embodiment, the specific content of S6 is:
synchronously transmitting the wireless equipment operation power data and the network transmission data to an maintainer when a fault maintenance instruction is issued;
s7, not issuing a fault maintenance instruction;
the wireless equipment operation power data and the network transmission data are collected through the collection terminal and stored in the database, the power data in the database are extracted, the power data are imported into a power threat value calculation strategy to calculate a power threat value, the network transmission data in the database are extracted, the network transmission threat value calculation strategy is imported into the network transmission threat value calculation strategy to calculate a network transmission threat value, the power threat value and the network transmission threat value are imported into an equipment threat value calculation strategy to calculate an equipment threat value, whether the equipment threat value is larger than a set equipment threat threshold value is judged, a fault maintenance instruction is issued to maintenance personnel, monitoring data are transmitted to the maintenance personnel, the occurrence of faults is judged in a multi-data fusion mode, and the accuracy of fault early warning is further improved;
it should be noted that, the specific meaning of the power threat value in this embodiment is only a value calculated for expressing the threat of each power data of the wireless device, and no other meaning is provided for expressing the advantages and disadvantages of the wireless power data transmission; the specific meaning of the network transmission threat value is only a numerical value calculated for expressing the threat of each item of network transmission data of the wireless equipment, and no other meaning is provided for expressing the advantages and disadvantages of the network transmission of the wireless equipment; the specific meaning of the threat value of the device is only a numerical value calculated for integrating various power data of the wireless device and the threat transmitted by the network of the wireless device, so that the overall advantage and the overall disadvantage of the wireless device are represented, and the specific meaning is not other.
Example 2
As shown in fig. 3-4, a wireless device electrical fault monitoring system based on data identification specifically includes: the system comprises a control module, a data acquisition module, a data extraction module, a power threat value calculation module, a network transmission threat value calculation module, a device threat value calculation module, a data comparison module and a maintenance instruction issuing module, wherein the control module is used for controlling the operation of the data acquisition module, the data extraction module, the power threat value calculation module, the network transmission threat value calculation module, the device threat value calculation module, the data comparison module and the maintenance instruction issuing module;
in this embodiment, the data acquisition module includes voltage acquisition unit, electric current acquisition unit, temperature acquisition unit, connecting device position acquisition unit, connecting device signal strength acquisition unit and connecting device network transmission speed acquisition unit, voltage acquisition unit is used for gathering the voltage data of wireless device in the window, electric current acquisition unit is used for gathering the electric current data of wireless device in the window, temperature acquisition unit is used for gathering the temperature data of wireless device in the window, connecting device position acquisition unit is used for gathering the position data of connecting device, connecting device signal strength acquisition unit is used for gathering the signal strength data of connecting device, connecting device network transmission speed acquisition unit is used for gathering connecting device network transmission speed data.
Example 3
The present embodiment provides an electronic device including: a processor and a memory, wherein the memory stores a computer program for the processor to call;
the processor performs a method of monitoring a radio device for electrical faults based on data identification as described above by invoking a computer program stored in the memory.
As shown in fig. 5, the electronic device may have a relatively large difference due to different configurations or performances, and can include one or more processors (Central Processing Units, CPU) and one or more memories, where at least one computer program is stored in the memories, and the computer program is loaded and executed by the processors to implement a radio device fault monitoring method based on data identification provided in the above method embodiments. The electronic device can also include other components for implementing the functions of the device, for example, the electronic device can also have wired or wireless network interfaces, input-output interfaces, and the like, for inputting and outputting data. The present embodiment is not described herein.
Example 4
The present embodiment proposes a computer-readable storage medium having stored thereon an erasable computer program;
the computer program, when run on a computer device, causes the computer device to perform a method of radio device electrical fault monitoring based on data identification as described above.
For example, the computer readable storage medium can be Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), compact disk Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), magnetic tape, floppy disk, optical data storage device, etc.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It should be understood that determining B from a does not mean determining B from a alone, but can also determine B from a and/or other information.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by way of wired or/and wireless networks from one website site, computer, server, or data center to another. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the partitioning of units is merely one, and there may be additional partitioning in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (11)
1. The radio equipment electric fault monitoring method based on data identification is characterized by comprising the following specific steps:
s1, acquiring wireless equipment operation power data and network transmission data through an acquisition terminal, and storing the data in a database, wherein the power data comprise equipment operation current, voltage and temperature data, and the network transmission data comprise connection equipment position and network transmission speed data;
s2, extracting power data in a database, and importing the power data into a power threat value calculation strategy to calculate a power threat value;
s3, extracting network transmission data in a database, and importing the network transmission threat value calculation strategy to calculate a network transmission threat value;
s4, importing the electric threat value and the network transmission threat value into a device threat value calculation strategy, and calculating the device threat value;
s5, judging whether the equipment threat value is larger than a set equipment threat threshold value, if so, operating the step S6, and if not, operating the step S7;
s6, issuing a fault maintenance instruction to a maintenance person, and transmitting monitoring data to the maintenance person;
and S7, not issuing a fault maintenance instruction.
2. A method for monitoring electrical faults in a wireless device based on data identification as claimed in claim 1, wherein said S1 comprises the specific steps of:
s11, setting a data acquisition window, acquiring power data of wireless equipment operation in the window, integrating the data according to a time sequence, and establishing a power data change line graph comprising a current line graph, a voltage line graph and a temperature line graph;
s12, obtaining an average value of running current data, an average value of voltage data and an average value of temperature data of the equipment at a window time by averaging the power data change line graph;
s13, acquiring a voltage fluctuation value and a current fluctuation value, wherein the voltage fluctuation value is acquired in the following manner: extracting specific values of voltages in the voltage line diagram in each time period in the acquisition window, and simultaneously averaging the voltage dataThe calculation formula of the extracted voltage fluctuation value is as follows: />Wherein->For the voltage value of the ith time period, < +.>The time length of the ith time period is the time length of the ith time period, and n is the number of the time periods; the current fluctuation value is obtained by the following steps: extracting specific values of current in the current line diagram in each time period in the acquisition window, and simultaneously taking the average value of current data +.>The calculation formula of the extracted current fluctuation value is as follows:wherein->For the current value of the ith time period, +.>The time length of the ith time period is the time length of the ith time period, and n is the number of the time periods;
s14, collecting position and network transmission speed data of each connecting device;
s15, taking an average value of running current data of the equipment at the window time, an average value of voltage data, an average value of temperature data, a voltage fluctuation value and a current fluctuation value as a first dimension vector, taking the position of each connecting equipment and network transmission speed data as a second dimension vector, and storing the obtained data in a database in the form of the two dimension vector.
3. A method for monitoring electrical faults of wireless devices based on data identification as claimed in claim 2, wherein the specific steps of the power threat value calculation strategy in S2 are as follows:
s21, extracting the average value of running current data, the average value of voltage data and the average value data of temperature data of equipment at the time of a collection window stored in a database, and obtaining a voltage fluctuation value and a current fluctuation value;
s22, simultaneously extracting a safety value range of equipment operation current data, a safety value range of voltage data, a safety value range of temperature data, a safety value range of voltage fluctuation and a safety value range of current fluctuation;
s23, substituting an average value of running current data of the equipment, an average value of voltage data, an average value of temperature data, a voltage fluctuation value, a current fluctuation value, a safety value range of running current data of the equipment, a safety value range of voltage data, a safety value range of temperature data, a safety value range of voltage fluctuation and a safety value range of current fluctuation into a power threat value calculation formula to calculate a power threat value;
s24, a calculation formula of the electric threat value is as follows:wherein->For the maximum value of the voltage fluctuation safety value range, +.>For maximum value of current fluctuation safety value range, m is the equipment operation electricity of window timeAverage value of flow data, average value of voltage data, number of data items of average value data of temperature data, +.>The duty factor of the j-th item of the mean value of the running current data, the mean value of the voltage data, the mean value data of the temperature data of the device for the window time,value of j-th item of mean value of running current data, mean value of voltage data, mean value data of temperature data for a device of window time, +.>Average value of running current data of equipment for window time, average value of voltage data, maximum value of safety range corresponding to jth item of data of average value data of temperature data, +.>For the minimum value of the safety range corresponding to the jth item of data of the mean value of the running current data, the mean value of the voltage data and the mean value data of the temperature data of the equipment at window time,/>。
4. A method for monitoring a radio equipment electrical fault based on data identification as claimed in claim 3, wherein the specific steps of the network transmission threat value calculation strategy in S3 are as follows:
s31, extracting connection equipment position and network transmission speed data, and calculating a loss value of signal transmission through the connection equipment position and the wireless equipment position, wherein a loss value calculation formula is as follows:wherein D is the signal propagation distance, F is the frequency of the signal, and c is the lightAnd G is the gain in transmission, meanwhile, the signal intensity of the position of the connecting equipment and the signal intensity required to be transmitted by the wireless equipment are extracted, and the signal intensity difference value is calculated in a signal intensity difference value calculation formula, wherein the signal intensity difference value calculation formula is as follows: />Wherein->For the number of connected devices>Signal strength for the z-th connection device position, < >>The signal loss of the z-th connection device is s, and the signal strength required to be transmitted by the wireless device is s;
s32, extracting network transmission speed data of each connecting device, substituting the network transmission speed data into a network transmission speed difference value calculation formula to calculate a network transmission speed difference value, wherein the network transmission speed difference value calculation formula is as follows:wherein Q is the standard output network speed of the wireless device, < >>The network speed of the z-th connection device;
s33, substituting the signal strength difference value and the network transmission speed difference value into a network transmission threat value calculation formula to calculate a network transmission threat value, wherein the network transmission threat value calculation formula is as follows:。
5. the method for monitoring a radio equipment failure based on data identification as claimed in claim 4, wherein the specific steps of the equipment threat value calculation strategy in S4 are as follows:
s41, extracting the calculated power threat value and the network transmission threat value, substituting the power threat value and the network transmission threat value into a device threat value calculation formula, and calculating the device threat value;
s42, calculating a device threat value according to the following formula:wherein->For the power threat duty cycle, +.>Threat duty cycle for network transmission, +.>。
6. The method for monitoring electrical faults of wireless devices based on data identification as claimed in claim 5, wherein the specific content of S6 is:
and synchronously transmitting the wireless equipment operation power data and the network transmission data to an overhauling personnel when issuing the troubleshooting instruction.
7. A data identification-based radio equipment electrical fault monitoring system, which is implemented based on a data identification-based radio equipment electrical fault monitoring method according to any one of claims 1-6, characterized in that it specifically comprises: the system comprises a control module, a data acquisition module, a data extraction module, a power threat value calculation module, a network transmission threat value calculation module, an equipment threat value calculation module, a data comparison module and a maintenance instruction issuing module; the control module is used for controlling the operation of the data acquisition module, the data extraction module, the power threat value calculation module, the network transmission threat value calculation module, the equipment threat value calculation module, the data comparison module and the overhaul instruction issuing module, wherein the data acquisition module is used for acquiring wireless equipment operation power data and network transmission data through the acquisition terminal and storing the wireless equipment operation power data and the network transmission data in the database, the data extraction module is used for extracting data in the database according to requirements, the power threat value calculation module is used for leading the power data into the power threat value calculation strategy to calculate the power threat value, and the network transmission threat value calculation module is used for leading the network transmission data into the network transmission threat value calculation strategy to calculate the network transmission threat value.
8. The wireless equipment electrical fault monitoring system based on data identification as claimed in claim 7, wherein the equipment threat value calculation module is used for importing the power threat value and the network transmission threat value into an equipment threat value calculation strategy to calculate the equipment threat value, the data comparison module is used for judging whether the equipment threat value is greater than a set equipment threat threshold, and the overhaul instruction issuing module is used for issuing a fault overhaul instruction to a maintainer and transmitting monitoring data to the maintainer.
9. The wireless equipment electric fault monitoring system based on data identification as claimed in claim 8, wherein the data acquisition module comprises a voltage acquisition unit, a current acquisition unit, a temperature acquisition unit, a connection equipment position acquisition unit, a connection equipment signal intensity acquisition unit and a connection equipment network transmission speed acquisition unit; the voltage acquisition unit is used for acquiring voltage data of wireless equipment in a window, the current acquisition unit is used for acquiring current data of the wireless equipment in the window, the temperature acquisition unit is used for acquiring temperature data of the wireless equipment in the window, the connecting equipment position acquisition unit is used for acquiring position data of the connecting equipment, the connecting equipment signal strength acquisition unit is used for acquiring signal strength data of the connecting equipment, and the connecting equipment network transmission speed acquisition unit is used for acquiring network transmission speed data of the connecting equipment.
10. An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
the processor performs a method of radio equipment electrical fault monitoring based on data identification as claimed in any one of claims 1 to 6 by invoking a computer program stored in the memory.
11. A computer-readable storage medium, characterized by: instructions stored thereon which, when executed on a computer, cause the computer to perform a method of radio equipment electrical fault monitoring based on data identification as claimed in any one of claims 1 to 6.
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