CN115277362A - Fault diagnosis method, apparatus, electronic device and computer readable medium - Google Patents

Abstract

The embodiments of the present application disclose a fault diagnosis method, an apparatus, an electronic device, and a computer-readable medium. An embodiment of the method includes: acquiring the identification, Internet Protocol IP address and port number of the intelligent device to be detected; based on the identification, querying the device data of the intelligent device from the first system; distribution network information, and query the network data associated with the distribution network information from the second system; summarize equipment data and network data to generate comprehensive data; based on the comprehensive data, perform fault diagnosis on intelligent equipment to obtain fault diagnosis results. This embodiment improves the efficiency of fault diagnosis and the accuracy of fault diagnosis.

Description

Fault diagnosis method, device, electronic device and computer readable medium

technical field

The embodiments of the present application relate to the field of computer technology, and in particular to a fault diagnosis method, device, electronic equipment, and computer-readable medium.

Background technique

With the development of Internet technology, smart devices (such as camera devices capable of networking) can be deployed in more and more scenarios such as homes and supermarkets. By connecting smart devices to the network, remote control and scene linkage can be realized. and other functions. When a smart device fails, it is usually necessary to perform fault diagnosis on the smart device and the network connected to it at the same time.

In the existing technology, the network data of the network connected to the smart device is usually stored in an independent system and cannot be directly obtained. Therefore, maintenance personnel usually need to come to the door to detect the smart device and the network connected to it. By observing the fault phenomenon, Fault diagnosis can be carried out based on experience. In this way, the fault diagnosis process is complicated, and the technical requirements for maintenance personnel are relatively high, and there are problems of low fault diagnosis efficiency and low accuracy.

Contents of the invention

The embodiment of the present application proposes a fault diagnosis method, device, electronic device and computer readable medium to solve the technical problems of low efficiency and low accuracy of fault diagnosis in the prior art.

In the first aspect, the embodiment of the present application provides a fault diagnosis method, the method includes: obtaining the identification, Internet Protocol IP address and port number of the smart device to be detected; based on the identification, querying the The device data of the smart device; based on the IP address and the port number, determine the distribution network information of the smart device, and query the network data associated with the distribution network information from the second system; Summarizing the network data to generate comprehensive data; based on the comprehensive data, performing fault diagnosis on the smart device to obtain a fault diagnosis result.

In a second aspect, the embodiment of the present application provides a device for fault diagnosis, which includes: an acquisition unit, configured to acquire the identification, Internet Protocol IP address, and port number of the smart device to be detected; a first query unit, configured based on The identification is to query the device data of the smart device from the first system; the second query unit is used to determine the distribution network information of the smart device based on the IP address and the port number, and obtain the information from the second querying the network data associated with the distribution network information in the system; a generation unit for summarizing the device data and the network data to generate comprehensive data; a first fault diagnosis unit for, based on the comprehensive data, The intelligent device performs fault diagnosis and obtains a fault diagnosis result.

In the third aspect, the embodiment of the present application provides an electronic device, including: one or more processors; a storage device, on which one or more programs are stored, when the one or more programs are A plurality of processors are executed, so that the one or more processors implement the method as described in any one of the above first aspects.

In a fourth aspect, an embodiment of the present application provides a computer-readable medium, on which a computer program is stored, and when the program is executed by a processor, the method described in any one of the above-mentioned first aspects is implemented.

The fault diagnosis method, device, electronic device, and computer-readable medium provided in the embodiments of the present application query the device data of the smart device from the first system through the acquired identification of the smart device to be detected, and through the acquired The IP address and port number of the smart device, query the network data associated with the distribution network information from the second system, and then summarize the device data and network data from different systems to obtain comprehensive data, which can make the obtained comprehensive data It is comprehensive and can provide a complete data basis for fault diagnosis. Based on the comprehensive data, the fault diagnosis of the smart device is performed without the need for maintenance personnel to come to the door to detect the smart device and the network connected to it, thereby simplifying the fault diagnosis process and improving the fault diagnosis efficiency. At the same time, this process does not depend on human experience, which can eliminate the influence of subjective factors, thereby improving the accuracy of fault diagnosis.

Description of drawings

Other characteristics, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

FIG. 1 is an exemplary system architecture diagram to which an embodiment of the present application can be applied;

Fig. 2 is the flowchart of an embodiment of the fault diagnosis method of the present application;

Fig. 3 is a flowchart of an application scenario of the fault diagnosis method of the present application;

Fig. 4 is the flow chart of another embodiment of the fault diagnosis method of the present application;

Fig. 5 is a structural schematic diagram of an embodiment of the fault diagnosis device of the present application;

FIG. 6 is a schematic structural diagram of a computer system for implementing the electronic device of the embodiment of the present application.

Detailed ways

The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

It should be pointed out that all actions to obtain signals, information or data in this application are carried out under the premise of complying with the corresponding data protection laws and policies of the country where the location is located, and with the authorization given by the corresponding device owner.

Fig. 1 shows an exemplary system architecture diagram to which the fault diagnosis method or fault diagnosis device of the present application can be applied.

As shown in FIG. 1 , the system architecture may include a fault diagnosis device, and the fault diagnosis device may respectively interact with the first system and the second system to query and acquire data. In some examples, the fault diagnosis device may be a server for fault diagnosis. The first system and the second system can be maintained by different servers respectively, and the fault diagnosis equipment can communicate with the server for maintaining the first system and the second system through a wired communication link, a wireless communication link or an optical fiber cable. Each of the above servers can be implemented as a distributed server cluster composed of multiple servers, or as a single server. No specific limitation is made here.

The first system can be used to manage and maintain the device data of smart devices in the Internet of Things, for example, may include but not limited to at least one of the following: Internet of Things management system, smart device background management system, application background management system (for example, Background management system for applications controlling smart devices), etc. The aforementioned smart device may include, but is not limited to, a camera (for example, a camera).

The second system may be used to manage and maintain network data, for example, may include but not limited to at least one of the following: PON (Passive Optical Network, Passive Optical Network) management system, network resource management system, Internet authentication system, etc.

It should be noted that the fault diagnosis method provided in the embodiment of the present application is generally executed by fault diagnosis equipment, and correspondingly, the fault diagnosis device is generally set in the fault diagnosis equipment.

Please refer to FIG. 2 , which shows a flowchart of an embodiment of a fault diagnosis method according to the present application. The fault diagnosis method includes the following steps:

Step 201, acquire the identification, IP address and port number of the smart device to be detected.

In this embodiment, the smart device to be detected may include, but is not limited to, an electronic device with a networking function, for example, a camera device (eg, a camera) in an Internet of Things environment. The executing subject of the fault diagnosis method (for example, the fault diagnosis device in FIG. 1 ) can obtain the identification, IP address and port number of the smart device to be detected. Wherein, the identifier of the smart device may be a serial number of the smart device, or may be information such as a MAC address (Media Access Control Address, Media Access Control Address) of the smart device, which is not limited herein.

In practice, the execution subject may receive the fault diagnosis request carrying the ID of the smart device, and obtain the ID of the smart device by parsing the request. Then, based on the smart device background management system, it is possible to detect whether the smart device is online, and when the smart device is online, based on the identification, query the IP address and port number of the smart device from the above smart device background management system. Wherein, the network information of the smart device may be stored in the background management system of the smart device, and the network information may include an IP address and a port number.

In some optional implementation manners, the above steps can be performed when the smart device is online. If the acquisition of the IP address and port number fails, or if the smart device is offline, the history log of the smart device can be obtained, and the fault diagnosis of the smart device can be performed based on the history log to obtain a fault diagnosis result. Wherein, the history log may include but not limited to at least one of the following: historical fault diagnosis results (including timing automatic diagnosis results and manual diagnosis results), historical online records, historical online broadband information, and historical online device information. Further, at this time, the prompt message "Inquiry of smart device information failed, please try to restart the smart device and then diagnose again" can be output, and the last fault diagnosis result in the history log can be output at the same time for reference.

Step 202, based on the identifier, query the device data of the smart device from the first system.

In this embodiment, the execution subject may query the device data of the smart device from the first system based on the identifier of the smart device. Among them, the above-mentioned first system can be used to manage and maintain the device data of the smart devices in the Internet of Things, for example, it can include but not limited to at least one of the following: Internet of Things management system, smart device background management system, target application (such as , background management system for applications to control smart devices, etc.

The above device data may include but not limited to at least one of the following: network connection mode information (which can be used to indicate the connection mode of the smart device, for example, wired connection, wireless connection), wireless network signal strength information, network cable connection rate of wired connection and negotiation Number of times, connection quality from the camera to the gateway (for example, delay, packet loss, jitter, etc.), basic device information (for example, user account, device ID, device serial number, etc.), bound mobile phone number information, online status information , online and offline records, alarm information, work orders and usage information, etc.

Step 203, based on the IP address and port number, determine the distribution network information of the smart device, and query the network data associated with the distribution network information from the second system.

In this embodiment, the distribution network information may include but not limited to a broadband account. The above-mentioned executive body can communicate with the Internet authentication system for managing distribution network information, and use IP address and port number as keywords to query the distribution network information of smart devices. After obtaining the distribution network information, the network data associated with the distribution network information can be queried from the second system. Wherein, the second system may be independent of the first system.

The above-mentioned network data may include but not limited to at least one of the following: basic network access information (for example, broadband account number, broadband line resource information, broadband speed, broadband installation address, etc.), optical modem related information (for example, binding optical modem status, running Status, number of connected terminals, etc.), broadband quality information (for example, broadband online status, online and offline status, traffic information, line optical attenuation, etc.), uplink PON equipment information (for example, PON port error code, optical line terminal relay traffic conditions, etc.).

Step 204, summarizing the device data and network data to generate comprehensive data.

In this embodiment, the above execution subject may summarize the device data and network data. For example, each item of data in the device data and each item of data in the network data may be format-converted to obtain data in a target format (for example, a key-value pair format). Then, the obtained data is summarized in the form of a list, a set, etc., to generate comprehensive data.

In some optional implementation manners, the execution subject may first query the target data table in the target database based on the identification of the smart device. It should be noted that, if the target data table does not exist, the target data table can be created based on the identifier as the table name. After the target data table is queried, each piece of data in the device data and each piece of data in the network data can be used as a record and added to the target data table to obtain comprehensive data. It should be noted that, if data is already stored in the target data table, the data in the target data table may be updated based on the integrated data.

Step 205, based on the comprehensive data, perform fault diagnosis on the smart device, and obtain a fault diagnosis result.

In this embodiment, the execution subject can implement fault diagnosis on the smart device by analyzing the comprehensive data, and obtain a fault diagnosis result. For example, a fault diagnosis model may be pre-trained by a machine learning method (for example, a supervised learning method), and comprehensive data may be input into the model to obtain a fault diagnosis result. For another example, a correspondence table for representing the correspondence between data and fault diagnosis results may be preset, and the fault diagnosis results may be obtained by looking up the table.

In some optional implementation manners, fault diagnosis may also be performed through the following steps: first, preset fault diagnosis rules are obtained. The above-mentioned fault diagnosis rule may include at least one diagnosis conclusion and a failure condition corresponding to each diagnosis conclusion. Then, it detects whether the comprehensive data satisfies each fault condition, takes the fault condition satisfied by the comprehensive data as the target fault condition, and summarizes the diagnostic conclusions corresponding to the target fault condition to obtain the fault diagnosis result.

Optionally, the fault diagnosis rule may include: if the connection mode of the smart device is a wireless connection, the network delay from the smart device to the gateway is abnormal, the wireless signal strength of the smart device is abnormal, and other data is normal, then determine that the location of the smart device is wireless. weak signal.

Optionally, the fault diagnosis rules may include: if the connection mode is a wired connection, the frequency of the smart device going online and offline is abnormal, the optical power of the network line of the smart device is abnormal, the frequency of the broadband account in the distribution network information is abnormal, the broadband account is online and If other data is normal, it is determined that the broadband line connected to the smart device is abnormal.

Optionally, the fault diagnosis rules may include: if the connection mode is a wired connection, the frequency of the smart device going online and offline is abnormal, the network speed of the smart device is abnormal, the broadband account is online and other data is normal, then determine that the network cable of the smart device is faulty.

Optionally, the fault diagnosis rules may include: if the connection mode is a wired connection, the broadband account in the distribution network information is online, the ratio of uplink network traffic to bandwidth of the smart device is abnormal, and the number of smart devices using the broadband account is greater than the preset value And other data is normal, it is determined that the uplink network bandwidth of the smart device is insufficient.

It should be noted that the fault diagnosis rules may also be set in other ways as required, and are not limited to the above-mentioned ones.

In some optional implementation manners, after obtaining the fault diagnosis result, the execution subject may also add the fault diagnosis result to the history log, so as to update the history log. Thus, real-time updates of history logs can be maintained.

Referring to FIG. 3 , it shows a schematic diagram of an application scenario of the fault diagnosis method of the present application. In this scenario, the smart device could be a camera installed in the home. The user can enter the camera ID on the warranty page of the terminal device or front-end device, and initiate a fault diagnosis request. After receiving the request, the server can extract the identifier from the request, and then query the IP address and port number based on the identifier. Then, based on the identification, the device data of the above-mentioned camera can be queried from the first system, and based on the above-mentioned IP address and the above-mentioned port number, the distribution network information of the above-mentioned camera can be determined, and the information associated with the above-mentioned network distribution information can be queried from the second system network data. Afterwards, the above-mentioned device data and the above-mentioned network data may be summarized to generate comprehensive data. Finally, based on the above comprehensive data, a fault diagnosis can be performed on the above camera, and a fault diagnosis result can be obtained, such as "the network cable of the camera is faulty, please check the network from the broadband device to the camera". After the fault result is obtained, it can be displayed on the terminal device or the front-end device. Therefore, the user can interact with the background through the terminal device or the front-end device. Running, the user can browse the fault diagnosis results directly from the terminal device or the front-end device, which is easy to use.

In the method provided by the above-mentioned embodiments of the present application, the device data of the smart device is queried from the first system through the obtained identification of the smart device to be detected, and the obtained IP address and port number of the smart device are obtained from the In the second system, the network data associated with the distribution network information can be queried, and then the equipment data and network data from different systems can be summarized to obtain comprehensive data, which can make the obtained comprehensive data comprehensive and provide perfect fault diagnosis data base. Based on the comprehensive data, the fault diagnosis of the smart device is performed without the need for maintenance personnel to come to the door to detect the smart device and the network connected to it, thereby simplifying the fault diagnosis process and improving the fault diagnosis efficiency. At the same time, this process does not depend on human experience, which can eliminate the influence of subjective factors, thereby improving the accuracy of fault diagnosis.

Further referring to FIG. 4 , it shows a flow chart of still another embodiment of the fault diagnosis method. The flow of the fault diagnosis method includes the following steps:

Step 401, acquire the ID, IP address and port number of the smart device to be detected.

For step 401 in this embodiment, reference may be made to step 201 in the embodiment corresponding to FIG. 2 , which will not be repeated here.

In some optional implementation manners, if the acquisition of the IP address and port number fails, or if the smart device is offline, the history log of the smart device may be obtained, and based on the history log, fault diagnosis is performed on the smart device to obtain a fault diagnosis result. Further, at this time, the prompt message "Inquiry of smart device information failed, please try to restart the smart device and then diagnose again" can be output, and the last fault diagnosis result in the history log can be output at the same time for reference.

Step 402, based on the identifier, query the device data of the smart device from the first system.

For step 402 in this embodiment, reference may be made to step 202 in the embodiment corresponding to FIG. 2 , which will not be repeated here.

Step 403, based on the IP address and port number, determine the distribution network information of the smart device, and query the network data associated with the distribution network information from the second system.

For step 403 in this embodiment, reference may be made to step 203 in the embodiment corresponding to FIG. 2 , which will not be repeated here.

Step 404, summarizing the device data and network data to generate comprehensive data.

For step 404 in this embodiment, reference may be made to step 204 in the embodiment corresponding to FIG. 2 , which will not be repeated here.

In some optional implementation manners, the execution subject may first query the target data table in the target database based on the identification of the smart device. It should be noted that, if the target data table does not exist, the target data table can be created based on the identifier as the table name. After the target data table is queried, each piece of data in the device data and each piece of data in the network data can be used as a record and added to the target data table to obtain comprehensive data. It should be noted that, if data is already stored in the target data table, the data in the target data table may be updated based on the comprehensive data.

Step 405, based on the comprehensive data, perform fault diagnosis on the smart device, and obtain a fault diagnosis result.

For step 405 in this embodiment, reference may be made to step 205 in the embodiment corresponding to FIG. 2 , which will not be repeated here.

In some optional implementation manners, fault diagnosis may also be performed through the following steps: first, preset fault diagnosis rules are acquired. The above-mentioned fault diagnosis rule may include at least one diagnosis conclusion and a failure condition corresponding to each diagnosis conclusion. Then, it detects whether the comprehensive data satisfies each fault condition, takes the fault condition satisfied by the comprehensive data as the target fault condition, and summarizes the diagnostic conclusions corresponding to the target fault condition to obtain the fault diagnosis result.

In some optional implementations, the fault diagnosis rules may include but not limited to at least one of the following: if the connection mode of the smart device is a wireless connection, the network delay between the smart device and the gateway is abnormal, the wireless signal strength of the smart device is abnormal, and If other data is normal, it is determined that the wireless signal is weak at the location of the smart device; if the connection method is a wired connection, the frequency of going online and offline of the smart device is abnormal, the optical power of the network line of the smart device is abnormal, and the frequency of going online and offline of the broadband account in the distribution network information is abnormal If the broadband account is online and other data is normal, it is determined that the broadband line connected to the smart device is abnormal; if the connection method is a wired connection, the frequency of going online and offline of the smart device is abnormal, the network speed of the smart device is abnormal, the broadband account is online and other data is normal, Then it is determined that the network cable of the smart device is faulty; if the connection method is a wired connection, the broadband account in the distribution network information is online, the ratio of the uplink network traffic to the bandwidth of the smart device is abnormal, the number of smart devices using the broadband account is greater than the preset value, and other If the data is normal, it is determined that the uplink network bandwidth of the smart device is insufficient.

In some optional implementation manners, after obtaining the fault diagnosis result, the execution subject may also add the fault diagnosis result to the history log, so as to update the history log. Thereby, the real-time update of the history log can be kept.

Step 406, based on the preset monitoring plan information, regularly update the comprehensive data, and based on the updated comprehensive data, perform fault monitoring on the smart device, and obtain the fault monitoring result.

In this embodiment, the detection plan information may be preset as required, so that the above-mentioned execution subject automatically performs fault monitoring according to the set time. Based on the monitoring plan information, the comprehensive data can be regularly updated according to the above steps 401 to 405, and based on the updated comprehensive data, fault monitoring is performed on smart devices to obtain fault monitoring results. The fault monitoring result can be used to indicate whether a fault occurs in the smart device, and in the case of a fault, the fault monitoring result can also include a fault diagnosis result. For the fault diagnosis operation in the fault monitoring process, refer to the above step 405, which will not be repeated here.

Step 407, if the fault monitoring result indicates that the smart device is faulty, then output an alarm message.

In this embodiment, if the fault monitoring result indicates that the smart device is faulty, an alarm message may be output, and the alarm message may include a fault diagnosis result, so as to facilitate troubleshooting and resolution by the user.

It can be seen from FIG. 3 that, compared with the embodiment corresponding to FIG. 2 , the flow of the fault diagnosis method in this embodiment involves the step of regularly performing fault monitoring on smart devices based on monitoring plan information. Therefore, the solution described in this embodiment can improve the convenience of daily maintenance of the smart device even if the smart device is found to be faulty.

Further referring to FIG. 5 , as the realization of the methods shown in the above figures, the present application provides an embodiment of a fault diagnosis device, which corresponds to the method embodiment shown in FIG. 2 , and the device can specifically Used in various electronic equipment.

As shown in Figure 5, the fault diagnosis device 500 of this embodiment includes: an acquisition unit 501, used to acquire the identification, Internet Protocol IP address and port number of the smart device to be detected; a first query unit 502, used to , query the device data of the smart device from the first system; the second query unit 503 is configured to determine the distribution network information of the smart device based on the IP address and the port number, and query the distribution network from the second system information-related network data; the generation unit 504 is used to summarize the above-mentioned device data and the above-mentioned network data to generate comprehensive data; the first fault diagnosis unit 505 is used to perform fault diagnosis on the above-mentioned smart device based on the above-mentioned comprehensive data, and obtain Fault diagnosis results.

In some optional implementation manners, the above device further includes: a fault monitoring unit, configured to periodically update the above comprehensive data based on preset monitoring plan information, and perform fault monitoring on the above smart device based on the updated comprehensive data, A fault monitoring result is obtained; if the fault monitoring result indicates that the smart device is faulty, an alarm message is output.

In some optional implementation manners, the generation unit 504 is further configured to query the target data table in the target database based on the above-mentioned identification; take each piece of data in the above-mentioned device data and each piece of data in the above-mentioned network data as a record, Add to the above target data table to get the composite data.

In some optional implementation manners, the above-mentioned device further includes: a second fault diagnosis unit, configured to obtain the history log of the above-mentioned smart device if the acquisition of the above-mentioned IP address and the above-mentioned port number fails, or if the above-mentioned smart device is offline, And based on the above historical logs, fault diagnosis is performed on the above smart device, and a fault diagnosis result is obtained.

In some optional implementation manners, the above device further includes: an updating unit, configured to add the above fault diagnosis result to the above history log, so as to update the above history log.

In some optional implementation manners, the above-mentioned first fault diagnosis unit 505 is further configured to obtain preset fault diagnosis rules, the above-mentioned fault diagnosis rules include at least one diagnosis conclusion and the fault conditions corresponding to each diagnosis conclusion; detect the above-mentioned comprehensive data Whether each fault condition is satisfied; the fault condition satisfied by the above comprehensive data is taken as the target fault condition, and the diagnosis conclusion corresponding to the above target fault condition is summarized to obtain the fault diagnosis result.

In some optional implementation manners, the above-mentioned fault diagnosis rules include at least one of the following: if the connection mode of the above-mentioned smart device is a wireless connection, the network delay between the above-mentioned smart device and the gateway is abnormal, and the wireless network signal strength of the above-mentioned smart device is abnormal And other data is normal, it is determined that the wireless signal is weak at the location of the above-mentioned smart device; If the broadband account’s online and offline frequency is abnormal, and the above broadband account is online and other data is normal, then it is determined that the broadband line connected to the above smart device is abnormal; If the speed is abnormal, the above-mentioned broadband account is online and other data is normal, it is determined that the network cable of the above-mentioned smart device is faulty; If the ratio is abnormal, the number of smart devices using the above-mentioned broadband account is greater than the preset value, and other data is normal, it is determined that the uplink network bandwidth of the above-mentioned smart devices is insufficient.

The device provided by the above-mentioned embodiments of the present application queries the device data of the smart device from the first system through the obtained identification of the smart device to be detected, and through the obtained IP address and port number of the smart device, from In the second system, the network data associated with the distribution network information can be queried, and then the equipment data and network data from different systems can be summarized to obtain comprehensive data, which can make the obtained comprehensive data comprehensive and provide perfect fault diagnosis data base. Based on the comprehensive data, the fault diagnosis of the smart device is performed without the need for maintenance personnel to come to the door to detect the smart device and the network connected to it, thereby simplifying the fault diagnosis process and improving the fault diagnosis efficiency. At the same time, this process does not depend on human experience, which can eliminate the influence of subjective factors, thereby improving the accuracy of fault diagnosis.

Referring now to FIG. 6 , it shows a schematic structural diagram of an electronic device for implementing some embodiments of the present application. The electronic device shown in FIG. 6 is only an example, and should not limit the functions and scope of use of the embodiments of the present application.

As shown in FIG. 6, an electronic device 600 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 601, which may be randomly accessed according to a program stored in a read-only memory (ROM) 602 or loaded from a storage device 608. Various appropriate actions and processes are executed by programs in the memory (RAM) 603 . In the RAM 603, various programs and data necessary for the operation of the electronic device 600 are also stored. The processing device 601 , ROM 602 and RAM 603 are connected to each other through a bus 604 . An input/output (I/O) interface 605 is also connected to the bus 604 .

Typically, the following devices can be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speaker, vibration an output device 607 such as a computer; a storage device 608 including, for example, a magnetic disk, a hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While FIG. 6 shows electronic device 600 having various means, it should be understood that implementing or having all of the means shown is not a requirement. More or fewer means may alternatively be implemented or provided. Each block shown in FIG. 6 may represent one device, or may represent multiple devices as required.

In particular, according to some embodiments of the present application, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, some embodiments of the present application include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In some such embodiments, the computer program may be downloaded and installed from a network via communication means 609 , or from storage means 608 , or from ROM 602 . When the computer program is executed by the processing device 601, the above-mentioned functions defined in the methods of some embodiments of the present application are performed.

It should be noted that the computer-readable medium described in some embodiments of the present application may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In some embodiments of the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. However, in some embodiments of the present application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted by any appropriate medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

In some embodiments, the client and the server can communicate using any currently known or future-developed network protocols such as HTTP (HyperTextTransferProtocol, Hypertext Transfer Protocol), and can communicate with digital data in any form or medium ( For example, communication networks) interconnect. Examples of communication networks include local area networks ("LANs"), wide area networks ("WANs"), internetworks (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network of.

The above-mentioned computer-readable medium may be included in the above-mentioned electronic device, or may exist independently without being incorporated into the electronic device. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the electronic device, the electronic device: obtains the identification, Internet Protocol IP address and port number of the smart device to be detected; Identify, query the device data of the smart device from the first system; determine the distribution network information of the smart device based on the IP address and port number, and query the network data associated with the distribution network information from the second system; device data and network data Summarize and generate comprehensive data; based on the comprehensive data, perform fault diagnosis on smart devices and obtain fault diagnosis results.

Computer program code for carrying out the operations of some embodiments of the present application may be written in one or more programming languages, or combinations thereof, including object-oriented programming languages such as Java, Smalltalk, C++ ; Also includes conventional procedural programming languages, such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. Where a remote computer is involved, the remote computer may be connected to the user computer via any kind of network, including a Local Area Network (LAN) or a Wide Area Network, or to an external computer (such as via the Internet using an Internet Service Provider). (WAN).

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logical functions for implementing specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.

The units described in some embodiments of the present application may be implemented by software or by hardware. The described units may also be set in a processor. For example, it may be described as: a processor includes a first determining unit, a second determining unit, a selecting unit, and a third determining unit. Wherein, the names of these units do not constitute a limitation of the unit itself under certain circumstances.

The functions described herein above may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), System on Chips (SOCs), Complex Programmable Logical device (CPLD) and so on.

The above descriptions are only some preferred embodiments of the present application and descriptions of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present application is not limited to the technical solution formed by the specific combination of the above-mentioned technical features, but also covers the above-mentioned Other technical solutions formed by any combination of technical features or equivalent features. For example, a technical solution formed by replacing the above-mentioned features with technical features with similar functions disclosed in (but not limited to) the embodiments of the present application.

Claims (10)

1. A fault diagnosis method, characterized in that the method comprises:

acquiring an identifier, an Internet Protocol (IP) address and a port number of intelligent equipment to be detected;

querying the intelligent device for device data from a first system based on the identification;

determining distribution network information of the intelligent equipment based on the IP address and the port number, and inquiring network data associated with the distribution network information from a second system;

summarizing the equipment data and the network data to generate comprehensive data;

and carrying out fault diagnosis on the intelligent equipment based on the comprehensive data to obtain a fault diagnosis result.

2. The method of claim 1, further comprising:

periodically updating the comprehensive data based on preset monitoring plan information, and carrying out fault monitoring on the intelligent equipment based on the updated comprehensive data to obtain a fault monitoring result;

and if the fault monitoring result indicates that the intelligent equipment has a fault, outputting alarm information.

3. The method of claim 1, wherein the aggregating the device data and the network data to generate aggregated data comprises:

querying a target data table in a target database based on the identification;

and taking each piece of data in the equipment data and each piece of data in the network data as records, and adding the records to the target data table to obtain comprehensive data.

4. The method of claim 1, further comprising:

if the IP address and the port number fail to be obtained, or if the intelligent device is offline, obtaining a history log of the intelligent device, and performing fault diagnosis on the intelligent device based on the history log to obtain a fault diagnosis result.

5. The method of claim 4, wherein after obtaining the fault diagnosis, the method further comprises:

adding the fault diagnosis result to the history log to update the history log.

6. The method of claim 1, wherein the performing fault diagnosis on the smart device based on the integrated data to obtain a fault diagnosis result comprises:

acquiring a preset fault diagnosis rule, wherein the fault diagnosis rule comprises at least one diagnosis conclusion and fault conditions corresponding to the diagnosis conclusions;

detecting whether the comprehensive data meet each fault condition;

and taking the fault condition met by the comprehensive data as a target fault condition, and summarizing diagnosis conclusions corresponding to the target fault condition to obtain a fault diagnosis result.

7. The method of claim 6, wherein the fault diagnosis rules comprise at least one of:

if the connection mode of the intelligent equipment is wireless connection, the network delay from the intelligent equipment to the gateway is abnormal, the wireless network signal strength of the intelligent equipment is abnormal, and other data are normal, determining that the wireless signal of the position where the intelligent equipment is located is weak;

if the connection mode is wired connection, the online and offline frequency of the intelligent device is abnormal, the optical power of a network line of the intelligent device is abnormal, the online and offline frequency of a broadband account in the distribution network information is abnormal, the broadband account is online, and other data is normal, determining that the broadband line to which the intelligent device is connected is abnormal;

if the connection mode is wired connection, the online and offline frequency of the intelligent equipment is abnormal, the network rate of the intelligent equipment is abnormal, the broadband account is online, and other data are normal, determining the network cable fault of the intelligent equipment;

and if the connection mode is wired connection, the broadband account in the distribution network information is on line, the ratio of the uplink network flow to the bandwidth of the intelligent equipment is abnormal, the number of the intelligent equipment using the broadband account is larger than a preset value, and other data are normal, determining that the uplink network bandwidth of the intelligent equipment is insufficient.

8. A fault diagnosis apparatus characterized by comprising:

the device comprises an acquisition unit, a detection unit and a control unit, wherein the acquisition unit is used for acquiring the identification, the Internet protocol IP address and the port number of the intelligent device to be detected;

the first query unit is used for querying the device data of the intelligent device from a first system based on the identification;

the second query unit is used for determining the distribution network information of the intelligent equipment based on the IP address and the port number, and querying network data associated with the distribution network information from a second system;

the generating unit is used for summarizing the equipment data and the network data to generate comprehensive data;

and the first fault diagnosis unit is used for carrying out fault diagnosis on the intelligent equipment based on the comprehensive data to obtain a fault diagnosis result.

9. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-7.

10. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.

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