Fault detection method and system for communication equipment based on Internet of Things

Abstract

The present invention relates to the field of network communication, and discloses a method and system for realizing fault detection of communication equipment based on the Internet of Things, wherein the method comprises: constructing a device geometry model, a device physical model, and a device behavior model of the communication equipment to be detected; constructing a device twin model of the communication equipment to be detected, and identifying the device characteristics of the communication equipment to be detected; determining the data sensing node of the communication equipment to be detected, configuring the sensing device of the data sensing node, and constructing a network balancing mechanism for the network interface corresponding to the sensing device and the device twin model; constructing an adaptive network for the network interface corresponding to the sensing device and the device twin model, collecting the operation data of the communication equipment to be detected, and uploading the operation data to the device twin model by using the adaptive network to obtain the twin model to be operated; analyzing the abnormal operation behavior of the communication equipment to be detected, and constructing a fault detection report of the communication equipment to be detected. The present invention can improve the accuracy of fault detection of communication equipment.

Description

Technical Field

[0001] The present invention relates to the field of network communications, and in particular to a method and system for realizing fault detection of communication equipment based on the Internet of Things. Background Art

[0002] Fault detection of communication equipment refers to the use of a series of methods and technologies to identify and diagnose abnormal or failure conditions that occur during the operation of communication equipment. These faults may be caused by factors such as hardware failures, software errors, network problems, or external interference. The purpose of fault detection is to find and solve problems in time before serious equipment failures occur, so as to reduce equipment downtime and improve system reliability and efficiency.

[0003] At present, the fault detection of communication equipment is mainly carried out by building a fault detection system to collect the operation data of the communication equipment for analysis to detect whether there are any abnormalities in the operation. This method of Internet of Things system is highly dependent on network connection. Network instability may cause system performance to decline, resulting in untimely fault detection of communication equipment. Summary of the invention

[0004] The present invention provides a method and system for realizing fault detection of communication equipment based on the Internet of Things, the main purpose of which is to improve the accuracy of fault detection of communication equipment.

[0005] To achieve the above object, the present invention provides a method for fault detection of communication equipment based on the Internet of Things, comprising:

[0006] Collecting communication device data of the communication device to be detected, and constructing a device geometry model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data;

[0007] Based on the device geometry model, the device physical model and the device behavior model, a device twin model of the communication device to be detected is constructed, and based on the communication device data, device features of the communication device to be detected are identified;

[0008] Based on the device characteristics, determine the data sensor node of the communication device to be detected, configure the sensor device of the data sensor node, and build a network balancing mechanism for the sensor device and the network interface corresponding to the device twin model;

[0009] Based on the network balancing mechanism, an adaptive network of network interfaces corresponding to the sensing device and the device twin model is constructed, and the operating data of the communication device to be detected is collected based on the sensing device, and the operating data is uploaded to the device twin model by using the adaptive network to obtain the twin model to be operated;

[0010] Based on the twin model to be run, the running state of the communication device to be tested is simulated, the abnormal running behavior of the communication device to be tested is analyzed, and based on the abnormal behavior, a fault detection report of the communication device to be tested is constructed.

[0011] Optionally, constructing a device geometry model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data includes:

[0012] Based on the communication device data, analyzing device geometric parameters, working principles and behavioral characteristics of the communication device to be detected;

[0013] Based on the device geometric parameters, construct a geometric figure of the communication device to be detected;

[0014] Based on the geometric figure, construct a device geometric model of the communication device to be detected;

[0015] Based on the working principle and the device geometric model, construct a device physical model of the communication device to be detected;

[0016] Based on the behavior characteristics, a device behavior model of the communication device to be detected is constructed.

[0017] Optionally, constructing a device twin model of the communication device to be detected based on the device geometric model, the device physical model and the device behavior model includes:

[0018] Constructing a model simulation environment of the device geometric model, the device physical model and the device behavior model;

[0019] Identify a geometric model integration interface, a physical model integration interface, and a behavioral model integration interface of the device geometric model, the device physical model, and the device behavioral model;

[0020] In the model simulation environment, the geometric model integration interface, the physical model integration interface and the behavioral model integration interface are used to construct a device twin model of the communication device to be detected.

[0021] Optionally, determining the data sensor node of the communication device to be detected based on the device characteristics includes:

[0022] Identifying a device component of the communication device to be detected;

[0023] Analyzing weight influencing factors of the device components;

[0024] Calculating component weights of the device components based on the device characteristics and the weight influencing factors;

[0025] Based on the component weights, a data sensing node of the communication device to be detected is determined.

[0026] Optionally, the calculating the component weight of the device component based on the device feature and the weight influencing factor includes:

[0027] Identifying the weight influence factor and the weight influence relationship of the device component;

[0028] Determining the influence factor weight of the weight influence factor based on the device characteristics and the weight influence relationship;

[0029] Based on the influencing factor weights and the device characteristics, component weights of the device components are calculated.

[0030] Optionally, the calculating the component weight of the device component based on the influencing factor weight and the device feature includes:

[0031] Based on the device characteristics, identifying the factor state value of the weighted influencing factor corresponding to the device component;

[0032] Analyze the influence factor correlation coefficient of the weighted influence factor;

[0033] Based on the impact factor weight, the factor state value and the impact factor correlation coefficient, the component weight of the device component is calculated using the following formula:

[0034]

[0035] in, represents the component weight of the device component, Indicates the device component The factor status value of the weighted influencing factor, Indicates the device component The weight of the impact factor of each weighted impact factor, Indicates the correlation coefficient of the impact factor corresponding to the weighted impact factor of the equipment component, Indicates the number of weighted impact factors corresponding to device components.

[0036] Optionally, constructing an adaptive network of the sensor device and the network interface corresponding to the device twin model based on the network balancing mechanism includes:

[0037] Identify the bandwidth capability of the network interface corresponding to the device twin model;

[0038] Based on the bandwidth capability, determining the network bandwidth of the sensor device and the network interface corresponding to the device twin model;

[0039] Based on the network bandwidth, construct a communication network of the sensor device and the network interface corresponding to the device twin model;

[0040] Based on the communication network and the network balancing mechanism, an adaptive network of the sensor device and the network interface corresponding to the device twin model is constructed.

[0041] Optionally, simulating the operating state of the communication device to be detected based on the twin model to be run and analyzing the abnormal operating behavior of the communication device to be detected includes:

[0042] Serializing the running state to obtain a sequence running state;

[0043] Based on the sequence operation state and the preset standard operation state, constructing the operation state sequence curve of the communication device to be detected;

[0044] Identifying a fluctuation region of the operating state sequence curve;

[0045] Based on the fluctuation area, the abnormal operation behavior of the communication device to be detected is analyzed.

[0046] Optionally, the analyzing the abnormal operation behavior of the communication device to be detected based on the fluctuation area includes:

[0047] Based on the fluctuation area, the operation abnormality coefficient of the communication device to be detected is calculated using the following formula:

[0048]

[0049] in, Indicates the operational abnormality coefficient of the communication equipment to be detected. Indicates the fluctuation amplitude of the fluctuation area in the corresponding operating status sequence curve of the communication equipment to be detected. Indicates the corresponding operating status sequence curve of the communication equipment to be detected, Indicates the angular frequency of the operating status sequence curve corresponding to the communication equipment to be tested, Indicates the fluctuation peak value of the fluctuation range corresponding to the fluctuation amplitude, Indicates the fluctuation valley value of the fluctuation range corresponding to the fluctuation range. Indicates the duration of fluctuation in the fluctuation area of ​​the operating status sequence curve corresponding to the communication device to be detected;

[0050] Based on the operation abnormality coefficient, locating the operation abnormality coordinates of the communication device to be detected;

[0051] Based on the abnormal operation coordinates, the abnormal operation behavior of the communication device to be detected is analyzed.

[0052] In order to solve the above problems, the present invention also provides a fault detection system for communication equipment based on the Internet of Things, the system comprising:

[0053] An initial model building module, used to collect communication device data of the communication device to be detected, and to build a device geometry model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data;

[0054] A twin model construction module, used to construct a device twin model of the communication device to be detected based on the device geometric model, the device physical model and the device behavior model, and identify device features of the communication device to be detected based on the communication device data;

[0055] A network balancing construction module is used to determine the data sensor node of the communication device to be detected based on the device characteristics, configure the sensor device of the data sensor node, and construct a network balancing mechanism for the sensor device and the network interface corresponding to the device twin model;

[0056] An adaptive network construction module, which is used to construct an adaptive network of the network interface corresponding to the sensing device and the device twin model based on the network balancing mechanism, collect the operating data of the communication device to be detected based on the sensing device, and upload the operating data to the device twin model using the adaptive network to obtain the twin model to be operated;

[0057] An operation abnormality identification module is used to simulate the operation status of the communication device to be detected based on the twin model to be run, analyze the abnormal operation behavior of the communication device to be detected, and construct a fault detection report of the communication device to be detected based on the abnormal behavior.

[0058] The embodiment of the present invention constructs a device geometry model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data, which can provide a basis for the subsequent twin model construction; the embodiment of the present invention constructs a device twin model of the communication device to be detected based on the device geometry model, the device physical model and the device behavior model, which can simulate the operation of the communication device to be detected and improve the timeliness of communication device fault detection; further, the embodiment of the present invention determines that the data sensor node of the communication device to be detected can efficiently collect device data based on the device characteristics, and provides a data basis for the subsequent operation analysis. Furthermore, the embodiment of the present invention constructs a corresponding twin model of the sensor device and the device. The network balancing mechanism of the network interface can ensure balanced data transmission between the sensor device and the device twin model. The embodiment of the present invention, based on the network balancing mechanism, constructs an adaptive network of the network interface corresponding to the sensor device and the device twin model to ensure that the data transmission between the sensor device and the device twin model is both efficient and stable, while also being able to cope with network congestion and failures, and ensure the integrity and real-time nature of the data. Finally, the embodiment of the present invention simulates the operating state of the communication device to be detected based on the twin model to be run, and analyzes the abnormal behavior of the operating state to accurately realize the abnormal behavior of the device. The embodiment of the present invention, based on the abnormal behavior, constructs a fault detection report for the communication device to be detected to achieve accurate detection of device faults. Therefore, the fault detection method and system for communication equipment based on the Internet of Things proposed in the present invention can improve the accuracy of communication equipment fault detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A schematic diagram of a flow chart of a method for implementing a fault detection method for a communication device based on the Internet of Things provided by an embodiment of the present invention;

[0060] Figure 2 A functional module diagram of a fault detection system for communication equipment based on the Internet of Things provided by one embodiment of the present invention;

[0061] Figure 3 A schematic diagram of the structure of an electronic device for implementing a fault detection system for communication equipment based on the Internet of Things provided by one embodiment of the present invention;

[0062] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0063] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0064] The embodiment of the present application provides a method for fault detection of communication equipment based on the Internet of Things. The execution subject of the method for fault detection of communication equipment based on the Internet of Things includes but is not limited to at least one of the electronic devices such as the server and the terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for fault detection of communication equipment based on the Internet of Things can be executed by software or hardware installed on the terminal device or the server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0065] Reference Figure 1 FIG. 1 is a flow chart of a method for detecting a fault of a communication device based on the Internet of Things provided by an embodiment of the present invention. In this embodiment, the method for detecting a fault of a communication device based on the Internet of Things includes:

[0066] S1. Collect communication device data of a communication device to be detected, and construct a device geometry model, a device physical model, and a device behavior model of the communication device to be detected based on the communication device data.

[0067] In the embodiment of the present invention, the communication equipment data includes equipment specifications, design drawings, historical operation data and other data.

[0068] Optionally, the embodiment of the present invention constructs the device geometry model, device physical model and device behavior model of the communication device to be detected based on the communication device data, which can provide a basis for the later construction of the twin model. Among them, the device geometry model refers to the precise digital representation of the physical shape of the device, the device physical model refers to the model involving the simulation of the physical properties and behavior of the device, and the device behavior model refers to the model that simulates the behavior and function of the device during operation.

[0069] As an embodiment of the present invention, the device geometry model, device physical model and device behavior model of the communication device to be detected are constructed based on the communication device data, including: analyzing the device geometry parameters, working principle and behavior characteristics of the communication device to be detected based on the communication device data; constructing the geometric figure of the communication device to be detected based on the device geometry parameters; constructing the device geometry model of the communication device to be detected based on the geometry figure, and constructing the device physical model of the communication device to be detected based on the working principle and the device geometry model; and constructing the device behavior model of the communication device to be detected based on the behavior characteristics.

[0070] Among them, the device geometric parameters refer to the device size information, such as the length, width, height and other data of the device; the working principle refers to the internal components, connection relationships and operating logic of the device; the behavioral characteristics refer to the behavior and response of the communication device to be tested under different working conditions; the geometric figures refer to the basic geometric figures of the device created in the CAD software or modeling tools based on the collected parameters and size information, such as a cuboid, cylinder, sphere, etc.

[0071] S2. Based on the device geometric model, the device physical model and the device behavior model, a device twin model of the communication device to be detected is constructed, and based on the communication device data, device characteristics of the communication device to be detected are identified.

[0072] The embodiment of the present invention constructs a device twin model of the communication device to be detected based on the device geometric model, the device physical model and the device behavior model, which can simulate the operation of the communication device to be detected and improve the timeliness of the communication device fault detection. Among them, the device twin model refers to a model that simulates the operation of the communication device.

[0073] Optionally, as an embodiment of the present invention, the device twin model of the communication device to be detected is constructed based on the device geometric model, the device physical model and the device behavioral model, including: constructing a model simulation environment for the device geometric model, the device physical model and the device behavioral model; identifying a geometric model integration interface, a physical model integration interface and a behavioral model integration interface of the device geometric model, the device physical model and the device behavioral model; and in the model simulation environment, constructing the device twin model of the communication device to be detected by utilizing the geometric model integration interface, the physical model integration interface and the behavioral model integration interface.

[0074] The model simulation environment refers to an environment used to simulate an actual system or process, and the integration interface refers to an interface for realizing mutual integration between models.

[0075] In the embodiment of the present invention, the device feature refers to a characteristic attribute of the communication device to be detected, such as appearance feature, location feature, structural feature and the like.

[0076] S3. Based on the device characteristics, determine the data sensor node of the communication device to be detected, configure the sensor device of the data sensor node, and construct a network balancing mechanism for the sensor device and the network interface corresponding to the device twin model.

[0077] The embodiment of the present invention determines that the data sensor node of the communication device to be detected can efficiently collect device data based on the device characteristics, providing a data basis for subsequent operation analysis. The data sensor node refers to a location node for collecting device operation data.

[0078] Optionally, as an embodiment of the present invention, determining the data sensing node of the communication device to be detected based on the device characteristics includes: identifying the device components of the communication device to be detected; analyzing the weight influence factors of the device components; calculating the component weights of the device components based on the device characteristics and the weight influence factors; and determining the data sensing node of the communication device to be detected based on the component weights.

[0079] Among them, the device component refers to the component information of the communication device to be detected, such as the processor / central processing unit, storage device, power supply unit, cooling system and other components; the weight influencing factor refers to the factor affecting the importance of the device component, such as component location, component function and other factors; the component weight refers to the importance of the device component in the communication device to be detected.

[0080] Optionally, in an optional embodiment of the present invention, the calculating the component weight of the device component based on the device characteristics and the weight influence factor includes: identifying the weight influence relationship between the weight influence factor and the device component; determining the influence factor weight of the weight influence factor based on the device characteristics and the weight influence relationship; and calculating the component weight of the device component based on the influence factor weight and the device characteristics.

[0081] Among them, the weight influence relationship refers to the correlation between the weight influence factor and the component importance. For example, the higher the frequency of use of the weight influence factor function, the higher the component importance. The influence factor weight refers to the importance of the weight influence factor in the component importance assessment.

[0082] Optionally, in an optional embodiment of the present invention, the calculation of the component weight of the device component based on the influencing factor weight and the device feature includes: identifying the factor state value of the weight influencing factor corresponding to the device component based on the device feature; analyzing the influencing factor correlation coefficient of the weight influencing factor; and calculating the component weight of the device component based on the influencing factor weight, the factor state value and the influencing factor correlation coefficient using the following formula:

[0083]

[0084] in, represents the component weight of the device component, Indicates the device component The factor status value of the weighted influencing factor, Indicates the device component The weight of the impact factor of each weighted impact factor, Indicates the correlation coefficient of the impact factor corresponding to the weighted impact factor of the equipment component, Indicates the number of weighted impact factors corresponding to device components.

[0085] In the embodiment of the present invention, the sensing device refers to a sensor used to collect operation data of the communication device, such as a temperature sensor, a humidity sensor, a vibration sensor, a current sensor, etc.

[0086] Furthermore, the embodiment of the present invention can ensure balanced data transmission between the sensor device and the device twin model by constructing a network balancing mechanism for the network interface corresponding to the sensor device and the device twin model. The network balancing mechanism refers to a mechanism that ensures that the data transmission between the sensor device and the device twin model is both efficient and stable. In detail, the network balancing mechanism can be constructed by a token bucket algorithm or a weighted fair queue to manage the transmission priority and bandwidth allocation of different data.

[0087] S4. Based on the network balancing mechanism, an adaptive network of network interfaces corresponding to the sensing device and the device twin model is constructed. The operating data of the communication device to be detected is collected based on the sensing device. The operating data is uploaded to the device twin model using the adaptive network to obtain the twin model to be operated.

[0088] Based on the network balancing mechanism, the embodiment of the present invention constructs an adaptive network of the network interface corresponding to the sensor device and the device twin model to ensure that the data transmission between the sensor device and the device twin model is both efficient and stable, while also being able to cope with network congestion and failures and ensure data integrity and real-time performance. The adaptive network refers to a network that can ensure that the data transmission between the sensor device and the device twin model is both efficient and stable.

[0089] As an embodiment of the present invention, the adaptive network of the sensing device and the network interface corresponding to the device twin model is constructed based on the network balancing mechanism, including: identifying the bandwidth capability of the network interface corresponding to the device twin model; determining the network bandwidth of the sensing device and the network interface corresponding to the device twin model based on the bandwidth capability; constructing a communication network of the sensing device and the network interface corresponding to the device twin model based on the network bandwidth; constructing an adaptive network of the sensing device and the network interface corresponding to the device twin model based on the communication network and the network balancing mechanism.

[0090] Among them, the bandwidth capacity refers to the amount of data that a network interface or communication link can transmit per unit time, the network bandwidth refers to the amount of data that a network can transmit per unit time, and the communication network refers to a network that realizes data transmission between devices.

[0091] In the embodiment of the present invention, the operation data refers to the data generated by the operation of the communication device, such as signal strength, frequency, signal-to-noise ratio, etc. The twin model to be operated refers to a model that obtains the real-time operation data of the communication device to be detected for operation pre-simulation.

[0092] S5. Simulate the operating status of the communication device to be detected based on the twin model to be run, analyze the abnormal operating behavior of the communication device to be detected, and construct a fault detection report of the communication device to be detected based on the abnormal behavior.

[0093] The embodiment of the present invention simulates the operating state of the communication device to be detected based on the twin model to be run, and analyzes the abnormal behavior of the operating state to accurately realize the abnormal behavior of the device. The abnormal behavior refers to the behavior that is abnormal compared with the normal behavior.

[0094] As an embodiment of the present invention, the operation status of the communication device to be detected is simulated based on the twin model to be run, and the abnormal operation behavior of the communication device to be detected is analyzed, including: serializing the operation status to obtain a sequence operation status; constructing an operation status sequence curve of the communication device to be detected based on the sequence operation status and a preset standard operation status; identifying the fluctuation area of ​​the operation status sequence curve; and analyzing the abnormal operation behavior of the communication device to be detected based on the fluctuation area.

[0095] Among them, the sequence operation state refers to a state set after the operation state is arranged according to time, the operation state sequence curve refers to a curve constructed between the time of the communication device to be detected and the difference between the device operation state, and the fluctuation area refers to the area where the operation state sequence curve has obvious fluctuations.

[0096] Optionally, in an optional embodiment of the present invention, analyzing the abnormal operation behavior of the communication device to be detected based on the fluctuation area includes: calculating the abnormal operation coefficient of the communication device to be detected based on the fluctuation area using the following formula:

[0097]

[0098] in, Indicates the operational abnormality coefficient of the communication equipment to be detected. Indicates the fluctuation amplitude of the fluctuation area in the corresponding operating status sequence curve of the communication equipment to be detected. Indicates the corresponding operating status sequence curve of the communication equipment to be detected, Indicates the angular frequency of the operating status sequence curve corresponding to the communication equipment to be tested, Indicates the fluctuation peak value of the fluctuation range corresponding to the fluctuation amplitude, Indicates the fluctuation valley value of the fluctuation range corresponding to the fluctuation range. Indicates the duration of fluctuation in the fluctuation area of ​​the operating status sequence curve corresponding to the communication device to be detected;

[0099] Based on the operation abnormality coefficient, the operation abnormality coordinates of the communication device to be detected are located; based on the operation abnormality coordinates, the operation abnormal behavior of the communication device to be detected is analyzed.

[0100] The operation abnormality coefficient refers to the degree of abnormality in the operation of the communication device to be detected.

[0101] Finally, the embodiment of the present invention constructs a fault detection report of the communication device to be detected based on the abnormal behavior, thereby realizing accurate fault detection of the device. The fault detection report includes: fault type, fault location, fault level, fault repair plan and other contents.

[0102] The embodiment of the present invention constructs a device geometry model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data, which can provide a basis for the subsequent twin model construction; the embodiment of the present invention constructs a device twin model of the communication device to be detected based on the device geometry model, the device physical model and the device behavior model, which can simulate the operation of the communication device to be detected and improve the timeliness of communication device fault detection; further, the embodiment of the present invention determines that the data sensor node of the communication device to be detected can efficiently collect device data based on the device characteristics, and provides a data basis for the subsequent operation analysis. Furthermore, the embodiment of the present invention constructs a corresponding twin model of the sensor device and the device. The network balancing mechanism of the network interface can ensure balanced data transmission between the sensor device and the device twin model. The embodiment of the present invention, based on the network balancing mechanism, constructs an adaptive network of the network interface corresponding to the sensor device and the device twin model to ensure that the data transmission between the sensor device and the device twin model is both efficient and stable, while also being able to cope with network congestion and failures, and ensure data integrity and real-time performance. Finally, the embodiment of the present invention simulates the operating status of the communication device to be detected based on the twin model to be run, and analyzes the abnormal behavior of the operating status to accurately realize the abnormal behavior of the device. The embodiment of the present invention, based on the abnormal behavior, constructs a fault detection report for the communication device to be detected to achieve accurate detection of device faults. Therefore, the fault detection method for communication equipment based on the Internet of Things proposed in the present invention can improve the accuracy of communication equipment fault detection.

[0103] like Figure 2 , is a functional module diagram of a fault detection system for communication equipment based on the Internet of Things provided by one embodiment of the present invention.

[0104] The fault detection system 200 for implementing communication equipment based on the Internet of Things of the present invention can be installed in an electronic device. According to the functions implemented, the fault detection system 200 for implementing communication equipment based on the Internet of Things can include an initial model construction module 201, a twin model construction module 202, a network balancing construction module 203, an adaptive network construction module 204 and an operation abnormality identification module 205. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0105] In this embodiment, the functions of each module / unit are as follows:

[0106] The initial model building module 201 is used to collect communication device data of the communication device to be detected, and build a device geometry model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data;

[0107] The twin model building module 202 is used to build a device twin model of the communication device to be detected based on the device geometric model, the device physical model and the device behavior model, and identify device features of the communication device to be detected based on the communication device data;

[0108] The network balancing construction module 203 is used to determine the data sensor node of the communication device to be detected based on the device characteristics, configure the sensor device of the data sensor node, and construct a network balancing mechanism for the sensor device and the network interface corresponding to the device twin model;

[0109] The adaptive network construction module 204 is used to construct an adaptive network of the network interface corresponding to the sensing device and the device twin model based on the network balancing mechanism, collect the operating data of the communication device to be detected based on the sensing device, and upload the operating data to the device twin model using the adaptive network to obtain the twin model to be operated;

[0110] The operation abnormality identification module 205 is used to simulate the operation status of the communication device to be detected based on the twin model to be run, analyze the abnormal operation behavior of the communication device to be detected, and construct a fault detection report of the communication device to be detected based on the abnormal behavior.

[0111] In detail, the modules described in the fault detection system 200 for implementing communication equipment based on the Internet of Things described in the embodiment of the present invention adopt the same technical means as the fault detection method for implementing communication equipment based on the Internet of Things described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0112] An embodiment of the present invention provides an electronic device for implementing a method for fault detection of communication equipment based on the Internet of Things.

[0113] See also Figure 3 As shown, the electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a fault detection method program for communication equipment based on the Internet of Things.

[0114] In some embodiments, the processor may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes various functions of the electronic device and processes data by running or executing programs or modules stored in the memory (for example, executing a fault detection program for a communication device based on the Internet of Things, etc.), and calling data stored in the memory.

[0115] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory may also include both an internal storage unit of the electronic device and an external storage device. The memory can not only be used to store application software and various types of data installed in the electronic device, such as the code of the fault detection program of the communication device based on the Internet of Things, but also can be used to temporarily store data that has been output or is to be output.

[0116] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0117] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0118] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0119] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0120] The fault detection program for implementing the communication device based on the Internet of Things stored in the memory of the electronic device is a combination of multiple instructions. When running in the processor, it can achieve:

[0121] Collecting communication device data of the communication device to be detected, and constructing a device geometry model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data;

[0122] Based on the device geometry model, the device physical model and the device behavior model, a device twin model of the communication device to be detected is constructed, and based on the communication device data, device features of the communication device to be detected are identified;

[0123] Based on the device characteristics, determine the data sensor node of the communication device to be detected, configure the sensor device of the data sensor node, and build a network balancing mechanism for the sensor device and the network interface corresponding to the device twin model;

[0124] Based on the network balancing mechanism, an adaptive network of network interfaces corresponding to the sensing device and the device twin model is constructed, and the operating data of the communication device to be detected is collected based on the sensing device, and the operating data is uploaded to the device twin model by using the adaptive network to obtain the twin model to be operated;

[0125] Based on the twin model to be run, the running state of the communication device to be tested is simulated, the abnormal running behavior of the communication device to be tested is analyzed, and based on the abnormal behavior, a fault detection report of the communication device to be tested is constructed.

[0126] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0127] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system that can carry the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0128] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0129] Collecting communication device data of the communication device to be detected, and constructing a device geometry model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data;

[0130] Based on the device geometry model, the device physical model and the device behavior model, a device twin model of the communication device to be detected is constructed, and based on the communication device data, device features of the communication device to be detected are identified;

[0131] Based on the device characteristics, determine the data sensor node of the communication device to be detected, configure the sensor device of the data sensor node, and build a network balancing mechanism for the sensor device and the network interface corresponding to the device twin model;

[0132] Based on the network balancing mechanism, an adaptive network of network interfaces corresponding to the sensing device and the device twin model is constructed, and the operating data of the communication device to be detected is collected based on the sensing device, and the operating data is uploaded to the device twin model by using the adaptive network to obtain the twin model to be operated;

[0133] Based on the twin model to be run, the running state of the communication device to be tested is simulated, the abnormal running behavior of the communication device to be tested is analyzed, and based on the abnormal behavior, a fault detection report of the communication device to be tested is constructed.

[0134] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0135] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0136] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0137] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0138] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0139] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0140] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for fault detection of communication equipment based on the Internet of Things, characterized in that: The method comprises: Collecting communication device data of the communication device to be detected, and constructing a device geometric model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data; Based on the device geometry model, the device physical model and the device behavior model, a device twin model of the communication device to be detected is constructed, and based on the communication device data, device features of the communication device to be detected are identified; Based on the device characteristics, determine the data sensor node of the communication device to be detected, configure the sensor device of the data sensor node, and build a network balancing mechanism for the sensor device and the network interface corresponding to the device twin model; Based on the network balancing mechanism, an adaptive network of network interfaces corresponding to the sensing device and the device twin model is constructed, and the operating data of the communication device to be detected is collected based on the sensing device, and the operating data is uploaded to the device twin model by using the adaptive network to obtain the twin model to be operated; Simulating the operating state of the communication device to be detected based on the twin model to be run, analyzing the abnormal operating behavior of the communication device to be detected, and constructing a fault detection report of the communication device to be detected based on the abnormal behavior; The step of determining the data sensing node of the communication device to be detected based on the device characteristics includes: Identifying a device component of the communication device to be detected; Analyzing weight influencing factors of the equipment components; Calculating component weights of the device components based on the device characteristics and the weight influencing factors; Determining a data sensor node of the communication device to be detected based on the component weights; The calculating the component weight of the device component based on the device feature and the weight influencing factor includes: Identifying the weight influence factor and the weight influence relationship of the device component; Determining the influence factor weight of the weight influence factor based on the device characteristics and the weight influence relationship; Calculating component weights of the device components based on the impact factor weights and the device characteristics; The calculating the component weight of the device component based on the influencing factor weight and the device feature includes: Based on the device characteristics, identifying the factor state value of the weighted influencing factor corresponding to the device component; Analyze the impact factor correlation coefficient of the weighted impact factor; Based on the impact factor weight, the factor state value and the impact factor correlation coefficient, the component weight of the device component is calculated using the following formula: in, represents the component weight of the device component, Indicates the device component The factor status value of the weighted influencing factor, Indicates the device component The weight of the impact factor of each weighted impact factor, Indicates the correlation coefficient of the impact factor corresponding to the weighted impact factor of the equipment component, Indicates the number of weighted impact factors corresponding to device components.

2. The method for fault detection of communication equipment based on the Internet of Things as claimed in claim 1, characterized in that: The step of constructing a device geometry model, a device physical model, and a device behavior model of the communication device to be detected based on the communication device data includes: Based on the communication device data, analyzing device geometric parameters, working principles and behavioral characteristics of the communication device to be detected; Based on the device geometric parameters, construct a geometric figure of the communication device to be detected; Based on the geometric figure, construct a device geometric model of the communication device to be detected; Based on the working principle and the device geometric model, construct a device physical model of the communication device to be detected; Based on the behavior characteristics, a device behavior model of the communication device to be detected is constructed.

3. The method for fault detection of communication equipment based on the Internet of Things as claimed in claim 1, characterized in that: The constructing the device twin model of the communication device to be detected based on the device geometric model, the device physical model and the device behavior model includes: Constructing a model simulation environment of the device geometric model, the device physical model and the device behavior model; Identify a geometric model integration interface, a physical model integration interface, and a behavioral model integration interface of the device geometric model, the device physical model, and the device behavioral model; In the model simulation environment, the geometric model integration interface, the physical model integration interface and the behavioral model integration interface are used to construct a device twin model of the communication device to be detected.

4. The method for fault detection of communication equipment based on the Internet of Things as claimed in claim 1, characterized in that: The step of constructing an adaptive network of the sensor device and the network interface corresponding to the device twin model based on the network balancing mechanism includes: Identify the bandwidth capability of the network interface corresponding to the device twin model; Based on the bandwidth capability, determining the network bandwidth of the sensor device and the network interface corresponding to the device twin model; Based on the network bandwidth, construct a communication network of the sensor device and the network interface corresponding to the device twin model; Based on the communication network and the network balancing mechanism, an adaptive network of the sensor device and the network interface corresponding to the device twin model is constructed.

5. The method for fault detection of communication equipment based on the Internet of Things as claimed in claim 1, characterized in that: The simulating the operating state of the communication device to be detected based on the twin model to be run and analyzing the abnormal operating behavior of the communication device to be detected includes: Serializing the running state to obtain a sequence running state; Based on the sequence operation state and the preset standard operation state, constructing the operation state sequence curve of the communication device to be detected; Identifying a fluctuation region of the operating state sequence curve; Based on the fluctuation area, the abnormal operation behavior of the communication device to be detected is analyzed.

6. The method for fault detection of communication equipment based on the Internet of Things as claimed in claim 5, characterized in that: The analyzing the abnormal operation behavior of the communication device to be detected based on the fluctuation area includes: Based on the fluctuation area, the operation abnormality coefficient of the communication device to be detected is calculated using the following formula: in, Indicates the operational abnormality coefficient of the communication equipment to be detected. Indicates the fluctuation amplitude of the fluctuation area in the corresponding operating status sequence curve of the communication equipment to be detected. Indicates the communication equipment to be tested corresponds to the Row state sequence curve, Indicates the angular frequency of the operating status sequence curve corresponding to the communication equipment to be tested, Indicates the fluctuation peak value of the fluctuation range corresponding to the fluctuation amplitude, Indicates the fluctuation valley value of the fluctuation range corresponding to the fluctuation range. Indicates the duration of fluctuation in the fluctuation area of ​​the operating status sequence curve corresponding to the communication device to be detected; Based on the operation abnormality coefficient, locating the operation abnormality coordinates of the communication device to be detected; Based on the abnormal operation coordinates, the abnormal operation behavior of the communication device to be detected is analyzed.

7. A fault detection system for communication equipment based on the Internet of Things, characterized in that: The system is used to execute the method for fault detection of communication equipment based on the Internet of Things as claimed in any one of claims 1 to 6, and the system comprises: An initial model building module, used to collect communication device data of the communication device to be detected, and to build a device geometry model, a device physical model and a device behavior model of the communication device to be detected based on the communication device data; A twin model construction module, used to construct a device twin model of the communication device to be detected based on the device geometric model, the device physical model and the device behavior model, and identify device features of the communication device to be detected based on the communication device data; A network balancing construction module is used to determine the data sensor node of the communication device to be detected based on the device characteristics, configure the sensor device of the data sensor node, and construct a network balancing mechanism for the sensor device and the network interface corresponding to the device twin model; An adaptive network construction module, which is used to construct an adaptive network of the network interface corresponding to the sensing device and the device twin model based on the network balancing mechanism, collect the operating data of the communication device to be detected based on the sensing device, and upload the operating data to the device twin model using the adaptive network to obtain the twin model to be operated; An operation abnormality identification module is used to simulate the operation status of the communication device to be detected based on the twin model to be run, analyze the abnormal operation behavior of the communication device to be detected, and construct a fault detection report of the communication device to be detected based on the abnormal behavior.

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