AI guard-based FTTH project network access acceptance method and system

Abstract

The invention provides an FTTH project network access acceptance method and system based on AI guarding, electronic equipment and a storage medium, and aims to solve the problems of high cost and low efficiency of manual network access acceptance, the method comprises the following steps: monitoring an FTTH project network access demand initiated to an interface, and extracting related information of OLT equipment from a text through word segmentation by using an NLP of AI; the test optical modem is connected to corresponding OLT equipment, and whether an unauthenticated test optical modem is accessed to a corresponding port of the equipment or not is inquired; if yes, an instruction is automatically issued to the OLT equipment to add optical network unit ONU authentication data for the OLT equipment, and data of the test optical modem is acquired; comparing the data with a set threshold value, and automatically allocating test resources to the OLT equipment after the data is judged to be normal; after registration is operated on the test optical modem, a test optical modem registration record is obtained, and whether registration and dialing are normal or not is judged. The acceptance cost can be reduced, the acceptance efficiency can be improved, and the accuracy can be ensured.

Description

Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to an FTTH project network access acceptance method based on AI on-duty, an FTTH project network access acceptance system based on AI on-duty, an electronic device and a computer-readable storage medium. Background Art

[0002] The rapid growth of Internet content is driving users' urgent demand for high-speed and stable networks. To meet this demand, network operators have adopted fiber-to-the-home (FTTH) technology, which has greatly expanded the coverage of home broadband. As a key component of the broadband access network, the optical line terminal (OLT) equipment has also significantly increased its business volume against the backdrop of a surge in the number of users. In order to ensure that users enjoy high-quality network services, before the OLT equipment is officially put into operation with the FTTH service, it must go through a strict dial-up test and acceptance process, such as verifying whether the upper-layer data is configured correctly and whether the optical path quality to the computer room site meets the specifications.

[0003] Currently, the network acceptance of FTTH projects mainly relies on manual operations, including the allocation of test resources by network management personnel, checking the optical path status, verifying service functions, and recovering test resources. Figure 1 As shown in the figure, before a new project is put into operation and connected to the network, the project manager and construction personnel go to the computer room to test and verify the equipment ports. The verification process requires the network management personnel to cooperate in issuing test data and verifying whether the status is normal. The main problems are as follows:

[0004] (1) High cost: The processes of issuing test resources, checking the optical path status, verifying service functions, and recycling test resources all require network management personnel to connect to the corresponding OLT equipment for processing, which results in high labor costs.

[0005] (2) Low efficiency: According to actual tests, the entire dialing verification process takes at least 30 minutes.

[0006] It can be seen that the network access acceptance of existing FTTH projects is unable to cope with a large number of FTTH projects, which seriously affects the efficiency of network access of home broadband FTTH projects. This acceptance method that relies on manual work has become a bottleneck restricting the rapid popularization and wide coverage of home broadband. Summary of the invention

[0007] In order to at least solve the problem that the acceptance of FTTH project network access in the prior art relies on manual acceptance with high cost and low efficiency. The present invention provides an FTTH project network access acceptance method based on AI on-duty, an FTTH project network access acceptance system based on AI on-duty, an electronic device and a computer-readable storage medium, which can reduce the acceptance cost and improve the efficiency of the acceptance process, and ensure the accuracy of the acceptance.

[0008] In a first aspect, the present disclosure provides a method for network acceptance of an FTTH project based on AI on-duty, the method comprising:

[0009] Monitor the FTTH project network access requirements initiated to the interface, and use AI's natural speech processing capabilities to extract relevant information about the OLT device from the text of the network access requirements through word segmentation;

[0010] Connect to the corresponding OLT device according to the relevant information of the OLT device, and check whether there is an uncertified test optical modem connected to the corresponding port of the OLT device;

[0011] If yes, then for the connected test optical modem, automatically send instructions to the OLT device to add ONU (Optical Network Unit) authentication data for it, and automatically obtain the data of the test optical modem;

[0012] Compare the acquired test optical modem data with the set threshold value, and automatically allocate test resources to the OLT device after judging that the test optical modem data is normal;

[0013] After registering on the test optical modem, the registration record of the test optical modem is automatically obtained to determine whether the registration is normal and test whether the dialing is normal.

[0014] Furthermore, the relevant information of the OLT device includes:

[0015] OLT device name, OLT device IP, outer VLAN (Virtual Local Area Network), inner VLAN and port number.

[0016] Furthermore,

[0017] The data of the optical modem test includes the online status of the optical modem and the optical modem receiving light data;

[0018] The method further comprises:

[0019] The data received from the test optical modem returned by the OLT device is regularized by combining the natural speech processing capabilities of AI and regular expressions, and the required fields and data are obtained from them.

[0020] Furthermore, the method further comprises:

[0021] If the registration and dialing of the test optical modem are normal, it is determined that the port tested by the OLT device has met the network access conditions and can carry FTTH services, and all the test resources issued are recovered.

[0022] In a second aspect, the present disclosure provides an FTTH project network acceptance system based on AI duty, the system comprising:

[0023] A monitoring module is configured to monitor the FTTH project network access requirements initiated to the interface, and use the natural speech processing capability of AI to extract relevant information of the OLT device from the text of the network access requirements by word segmentation;

[0024] A query module, which is configured to connect to a corresponding OLT device according to relevant information of the OLT device, and query whether an uncertified test optical modem is connected to a corresponding port of the OLT device;

[0025] The sending module is configured to automatically send instructions to the OLT device to add ONU authentication data for the connected test optical modem if the query module queries that an unauthenticated test optical modem is connected to the corresponding port of the OLT device, and automatically obtain the data of the test optical modem;

[0026] A judgment module is configured to compare the acquired test optical modem data with a set threshold value, and automatically allocate test resources to the OLT device after judging that the test optical modem data is normal;

[0027] The test module is configured to automatically obtain the registration record of the test optical modem after registering on the test optical modem, determine whether the registration is normal, and test whether the dialing is normal.

[0028] Furthermore, the relevant information of the OLT device includes:

[0029] OLT device name, OLT device IP, outer VLAN, inner VLAN and port number.

[0030] Furthermore, the system also includes a regularization module;

[0031] The data of the optical modem test includes the online status of the optical modem and the optical modem receiving light data;

[0032] The regularization module is configured to regularize the returned data of the test optical modem returned by the OLT device by combining the natural speech processing capabilities of AI and regular expressions, and obtain the required fields and data therefrom.

[0033] Furthermore, the test module is also configured as follows:

[0034] If the registration and dialing of the test optical modem are normal, it is determined that the port tested by the OLT device has met the network access conditions and can carry FTTH services, and all the test resources issued are recovered.

[0035] In a third aspect, the present disclosure provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor runs the computer program stored in the memory, the processor executes the FTTH project network access acceptance method based on AI guarding as described in any one of the first aspects.

[0036] In a fourth aspect, the present disclosure provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the FTTH project network access acceptance method based on AI guarding is implemented as described in any one of the above-mentioned first aspects.

[0037] Beneficial effects:

[0038] The FTTH project network access acceptance method based on AI on-duty, the FTTH project network access acceptance system based on AI on-duty, the electronic device and the storage medium provided by the present invention can complete the distribution of test resources, check the optical path status and verify the service functions by AI on-duty without manual intervention, and the cost is low; the full amount of command results can be obtained in a short time, and whether the service is normal and meets the acceptance standards can be judged by the command results, and the processing efficiency is high; and it can reduce errors caused by human intervention and ensure the accuracy of acceptance. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a schematic diagram of the existing FTTH project network acceptance method;

[0040] Figure 2 A flowchart of a method for network acceptance of an FTTH project based on AI on-duty provided in the first embodiment of the present disclosure;

[0041] Figure 3 A schematic diagram of a specific workflow of AI on-duty provided in an embodiment of the present disclosure;

[0042] Figure 4 This is an architecture diagram of an FTTH project network acceptance system based on AI on-duty provided in Embodiment 3 of the present disclosure;

[0043] Figure 5 This is an architecture diagram of an electronic device provided in Embodiment 4 of the present disclosure. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, the present disclosure is further described in detail below in conjunction with the drawings and embodiments. It should be understood that the specific embodiments and drawings described herein are only used to explain the present invention, rather than to limit the present invention.

[0045] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence; and, in the absence of conflict, the embodiments in the present disclosure and the features in the embodiments can be arbitrarily combined with each other.

[0046] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure. The singular forms of "a", "said" and "the" used in the embodiments of the present disclosure and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings.

[0047] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present disclosure, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0048] The technical solution of the present invention and how the technical solution of the present invention solves the above-mentioned problems existing in the prior art are described in detail below with specific embodiments. It is understandable that in the embodiments of the present application, the execution subject can perform some or all of the steps in the embodiments of the present application, and these steps or operations are only examples. The embodiments of the present application can also perform other operations or deformations of various operations. In addition, each step can be performed in a different order presented in the embodiments of the present application, and it is possible not to perform all the operations in the embodiments of the present application. And, the following several specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0049] Figure 2 A flowchart of a method for network acceptance of an FTTH project based on AI on-duty provided in the first embodiment of the present disclosure is shown in FIG. Figure 2 As shown, the method includes:

[0050] Step S101: monitor the FTTH project network access requirements initiated to the interface, and use the natural speech processing capability of AI to extract relevant information of the OLT device from the text of the network access requirements by word segmentation;

[0051] Step S102: Connect to the corresponding OLT device according to the relevant information of the OLT device, and query whether there is an uncertified test optical modem connected to the corresponding port of the OLT device;

[0052] Step S103: If yes, then for the connected test optical modem, automatically send instructions to the OLT device to add ONU authentication data for it, and automatically obtain the data of the test optical modem;

[0053] Step S104: comparing the acquired test optical modem data with a set threshold, and automatically allocating test resources to the OLT device after determining that the test optical modem data is normal;

[0054] Step S105: After registering on the test optical modem, automatically obtain the test optical modem registration record, determine whether the registration is normal, and test whether the dialing is normal.

[0055] The current FTTH project network acceptance requires construction personnel to go to the machine room to test and verify the equipment port. The verification process requires network management personnel to cooperate in issuing test data and verifying whether the status is normal, which leads to high acceptance costs and low efficiency. To solve this problem, the embodiment of the present disclosure proposes an FTTH project network acceptance based on AI on-duty. Specifically, after the on-duty process is started, the process will monitor the interface 24 hours a day, 7 days a week, and monitor the FTTH project network access requirements initiated to this interface through the WEB / interface method.

[0056] The on-duty process generally refers to a process that continues to run in the background after the application exits, and is used to perform some specific tasks, such as pushing messages, scheduled tasks, etc.; the on-duty process can be implemented by creating a service. A service is a component that can run in the background and can work independently of the application interface; according to the operating system corresponding to the project network acceptance, the corresponding service can be created through the respective existing methods to achieve automatic on-duty, such as an exemplary step of creating a service:

[0057] Define the service class: Create a subclass that inherits from the Service class and override the necessary methods.

[0058] Configure the service: declare the service in the AndroidManifest.xml file.

[0059] Start and stop services: Start the service through the startService() or bindService() method, and stop the service through the stopService() or unbindService() method.

[0060] The demand text obtained by the on-duty process from the interface is irregular, and the text contains information such as the name or IP of the OLT device, the name of the port to be tested, and VLAN resources. Using the natural language processing (NLP) capability of AI, the key field information of the OLT device is extracted from the demand text by word segmentation, and then processed in a unified style. The natural language processing (NLP) capability of AI can use various existing software, such as Tongyi Xiaomi CCAI, for text processing.

[0061] After extracting and organizing the key field information, it will connect to the OLT device through telnet to check whether there is an uncertified optical modem connected to the corresponding port of the OLT device. If an uncertified optical modem is found, it means that there is no abnormality in the on-site line of the computer room, and an optical modem has been connected to apply for test acceptance;

[0062] For the connected test optical modem, instructions will be automatically sent to the OLT device to add ONU authentication data (the process used for user identity authentication in fiber optic communication equipment). After the sending is completed, instructions will be automatically sent to obtain the data of the test optical modem.

[0063] Compare the acquired test optical modem data with the set normal threshold. After judging that the value is within the normal range, the test data (including network management data, broadband data, and voice data) will be automatically allocated to the corresponding OLT device.

[0064] Then register on the optical modem through telnet in the computer room and test whether the dial-up is normal. The program will automatically obtain the optical modem registration record to determine whether the registration is normal.

[0065] Since the data is processed uniformly through NLP, AI can automatically connect devices, detect optical paths, issue test resources, and verify business functions by setting corresponding automation programs, thus realizing automated FTTH project network access verification without manual intervention, saving labor costs; and AI on-duty personnel can connect to the corresponding OLT device through telnet and obtain data, and can obtain full command results in a short time, and judge whether the business is normal and meets the acceptance standards based on the command results, with high processing efficiency.

[0066] Furthermore, the relevant information of the OLT device includes:

[0067] OLT device name, OLT device IP, outer VLAN, inner VLAN and port number.

[0068] The text of the project network access requirements will contain information such as the name or IP of the OLT device, the name of the port to be tested, VLAN resources, etc. The relevant information of the OLT device can be obtained after the text is processed through the natural speech processing (NLP) capability of AI. It can be stored in a unified field, which makes it convenient for the program to read the relevant information connected to the OLT device and test the ports that need to be tested, thereby realizing automated network access acceptance.

[0069] Furthermore,

[0070] The data of the optical modem test includes the online status of the optical modem and the optical modem receiving light data;

[0071] The method further comprises:

[0072] The data received from the test optical modem returned by the OLT device is regularized by combining the natural speech processing capabilities of AI and regular expressions, and the required fields and data are obtained from them.

[0073] Due to the existence of multiple equipment manufacturers and multiple equipment models, the result format and result field naming returned by the OLT device are different. By combining the natural language processing (NLP) capabilities of AI and regular expressions, the returned results are regularized and the required fields and data are obtained from them. This can facilitate the subsequent automatic comparison of the test optical modem data with the threshold, and accurately determine whether the upper-layer data is configured normally and whether the on-site optical path is normal.

[0074] Furthermore, the method further comprises:

[0075] If the registration and dialing of the test optical modem are normal, it is determined that the port tested by the OLT device has met the network access conditions and can carry FTTH services, and all the test resources issued are recovered.

[0076] After testing that the registration and dialing of the test optical modem are normal, it can be automatically determined that the port tested this time has met the conditions for accessing the network. The program will automatically store information such as the port number in the corresponding file, recover all the test resources issued, and automatically record the test process to form a test record.

[0077] In the disclosed embodiment, AI on duty automatically completes the distribution of test data, intelligently judges the optical path and service conditions, and automatically recovers test data without manual processing; it can well reduce the test cost, connect to the OLT device through telnet, obtain the online status of the optical modem, the optical modem receiving status and the registration record of the optical modem, thereby accurately judging whether the upper layer data is configured normally and whether the on-site optical path is normal. The full amount of instruction results can be obtained in a short time, and the business can be judged whether it is normal and whether it meets the acceptance standards according to the instruction results, with high processing efficiency; and it can reduce errors caused by manual work and ensure the accuracy of acceptance.

[0078] The second embodiment of the present disclosure also provides a FTTH project network acceptance method based on AI guarding; the method includes the following process:

[0079] (1) After the on-duty process is started, the process will monitor the interface 24 / 7 to listen to the FTTH project access requirements initiated to this interface through the WEB / interface. The demand text obtained by the process from the interface is irregular and contains information such as the name or IP of the OLT device, the name of the port to be tested, and VLAN resources. Using the natural language processing (NLP) capability of AI, relevant information is extracted from the demand text through word segmentation and organized into the following fields: OLT device name, OLT device IP, outer VLAN, inner VLAN, and port number.

[0080] (2) After extracting and organizing the key field information, it will connect to the OLT device through telnet to check whether there is an uncertified optical modem connected to the corresponding port of the OLT device. If an uncertified optical modem is found, it means that there is no abnormality in the on-site line of the computer room, and an optical modem has been connected to apply for test acceptance;

[0081] (3) For the connected test optical modem, a command will be automatically sent to the OLT device to add ONU authentication data. After the command is sent, a command will be automatically sent to obtain the online status of the optical modem and the optical modem receiving data. Because there are multiple equipment manufacturers and multiple equipment models, the result format and result field naming returned by the OLT device are different. By combining the natural language processing (NLP) capabilities of AI and regular expressions, the command results are regularized and the required fields and data are obtained from them;

[0082] (4) Compare the acquired optical modem data with the set normal threshold value. After determining that the optical modem is online and the optical modem / OLT light receiving value is within the normal range, the test data (including network management data, broadband data, and voice data) will be automatically distributed to the corresponding OLT device;

[0083] (5) The on-site personnel in the computer room register on the optical modem and test whether the dialing is normal. The program will automatically obtain the registration record of the optical modem to determine whether the registration is normal. If the registration and dialing are normal, it is determined that the port tested by the OLT device has met the network access conditions and can carry FTTH services. At this time, all test resources issued in step (4) will be recycled.

[0084] The AI ​​on-call service of the disclosed embodiment can automatically complete the network access verification of the FTTH project. The specific workflow of the AI ​​on-call service is as follows: Figure 3 As shown, including:

[0085] Monitor the network access requirements of FTTH projects;

[0086] After processing using AI's natural language processing (NLP) capabilities, connect to the OLT device via telnet. If an unauthenticated optical modem is found, add ONU authentication data

[0087] Check the online information of the optical modem to determine whether the optical modem is online. If not, delete the ONU authentication data, remind the user to replace the optical modem, and return a response to the initiator.

[0088] If yes, check the light received by the optical modem and OLT to determine whether the light received data is within the normal range. If not, remind to adjust the optical path and return a response to the initiator.

[0089] If yes, automatically add network management data and broadband data, check whether the optical modem is registered normally, if not, delete the network management data and broadband data, remind the initiator to contact the upper network to check the data, and return a response to the initiator;

[0090] If yes, the test data is recovered and the dial test acceptance process is completed.

[0091] The FTTH project network access acceptance method based on AI guarding proposed in the embodiment of the present disclosure solves the problems existing in the existing methods and has the following advantages:

[0092] (1) Low cost: AI can complete the processes of issuing test resources, checking optical path status, verifying business functions, and recycling test resources without manual intervention, thus saving labor costs.

[0093] (2) High efficiency: The AI ​​attendant connects to the corresponding OLT device through telnet and obtains data. It can obtain the full command results in a short time and judge whether the business is normal and meets the acceptance standards based on the command results. The processing efficiency is high.

[0094] The third embodiment of the present disclosure also provides an FTTH project network acceptance system based on AI on-call service, such as Figure 4 As shown, the system comprises:

[0095] A monitoring module 11 is configured to monitor the FTTH project network access requirements initiated to the interface, and use the natural speech processing capability of AI to extract relevant information of the OLT device from the text of the network access requirements by word segmentation;

[0096] A query module 12, which is configured to connect to a corresponding OLT device according to relevant information of the OLT device, and query whether an uncertified test optical modem is connected to a corresponding port of the OLT device;

[0097] The sending module 13 is configured to automatically send instructions to the OLT device to add ONU authentication data for the connected test optical modem if the query module queries that an unauthenticated test optical modem is connected to the corresponding port of the OLT device, and automatically obtain the data of the test optical modem;

[0098] A judgment module 14 is configured to compare the acquired test optical modem data with a set threshold value, and automatically allocate test resources to the OLT device after judging that the test optical modem data is normal;

[0099] The test module 15 is configured to automatically obtain the registration record of the test optical modem after registering on the test optical modem, determine whether the registration is normal, and test whether the dialing is normal.

[0100] Furthermore, the relevant information of the OLT device includes:

[0101] OLT device name, OLT device IP, outer VLAN, inner VLAN and port number.

[0102] Furthermore, the system also includes a regularization module 16;

[0103] The data of the optical modem test includes the online status of the optical modem and the optical modem receiving light data;

[0104] The regularization module 16 is configured to regularize the returned data of the test optical modem returned by the OLT device by combining the natural speech processing capabilities of AI and regular expressions, and obtain the required fields and data therefrom.

[0105] Furthermore, the testing module 15 is also configured to:

[0106] If the registration and dialing of the test optical modem are normal, it is determined that the port tested by the OLT device has met the network access conditions and can carry FTTH services, and all the test resources issued are recovered.

[0107] The FTTH project network access acceptance system based on AI guarding in the embodiment of the present disclosure is used to implement the FTTH project network access acceptance method based on AI guarding in the method embodiment 1 and the second embodiment, so the description is relatively simple. For details, please refer to the relevant description in the previous method embodiment, which will not be repeated here.

[0108] In addition, if Figure 5 As shown, the third embodiment of the present disclosure further provides an electronic device, including a memory 100 and a processor 200, wherein the memory 100 stores a computer program, and when the processor 200 runs the computer program stored in the memory 100, the processor 200 executes the above-mentioned various possible methods.

[0109] The memory 100 is connected to the processor 200. The memory 100 may be a flash memory, a read-only memory or other memory, and the processor 200 may be a central processing unit or a single-chip microcomputer.

[0110] In addition, an embodiment of the present disclosure further provides a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to perform the above-mentioned various possible methods.

[0111] The computer-readable storage medium includes volatile or non-volatile, removable or non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, computer program modules or other data). Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable read only memory), flash memory or other memory technology, CD-ROM (Compact Disc Read-Only Memory), Digital Video Disc (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer.

[0112] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present disclosure, but the present disclosure is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and substance of the present disclosure, and these modifications and improvements are also considered to be within the scope of protection of the present disclosure.

Claims

1. A FTTH project network acceptance method based on AI on-duty, characterized in that: The method comprises: Monitor the network access requirements of fiber-to-the-home (FTTH) projects initiated to the interface, and use AI's natural speech processing capabilities to extract relevant information about optical line terminal (OLT) devices from the text of the network access requirements through word segmentation. Connect to the corresponding OLT device according to the relevant information of the OLT device, and check whether there is an uncertified test optical modem connected to the corresponding port of the OLT device; If yes, then for the connected test optical modem, automatically send instructions to the OLT device to add the optical network unit ONU authentication data for it, and automatically obtain the data of the test optical modem; Compare the acquired test optical modem data with the set threshold value, and automatically allocate test resources to the OLT device after judging that the test optical modem data is normal; After registering on the test optical modem, the registration record of the test optical modem is automatically obtained to determine whether the registration is normal and test whether the dialing is normal.

2. The method according to claim 1, characterized in that The relevant information of the OLT device includes: OLT device name, OLT device IP, outer virtual LAN VLAN, inner VLAN and port number.

3. The method according to claim 1, characterized in that The data of the optical modem test includes the online status of the optical modem and the optical modem receiving light data; The method further comprises: The data received from the test optical modem returned by the OLT device is regularized by combining the natural speech processing capabilities of AI and regular expressions, and the required fields and data are obtained from them.

4. The method according to claim 1, characterized in that: The method further comprises: If the registration and dialing of the test optical modem are normal, it is determined that the port tested by the OLT device has met the network access conditions and can carry FTTH services, and all the test resources issued are recovered.

5. An AI-based FTTH project network acceptance system, characterized in that: The system comprises: A monitoring module is configured to monitor the FTTH project network access requirements initiated to the interface, and use the natural speech processing capability of AI to extract relevant information of the OLT device from the text of the network access requirements by word segmentation; A query module, which is configured to connect to a corresponding OLT device according to relevant information of the OLT device, and query whether an uncertified test optical modem is connected to a corresponding port of the OLT device; The sending module is configured to automatically send instructions to the OLT device to add ONU authentication data for the connected test optical modem if the query module queries that an unauthenticated test optical modem is connected to the corresponding port of the OLT device, and automatically obtain the data of the test optical modem; A judgment module is configured to compare the acquired test optical modem data with a set threshold value, and automatically allocate test resources to the OLT device after judging that the test optical modem data is normal; The test module is configured to automatically obtain the registration record of the test optical modem after registering on the test optical modem, determine whether the registration is normal, and test whether the dialing is normal.

6. The system according to claim 5, characterized in that The relevant information of the OLT device includes: OLT device name, OLT device IP, outer VLAN, inner VLAN and port number.

7. The system according to claim 5, characterized in that The system also includes a regularization module; The data of the optical modem test includes the online status of the optical modem and the optical modem receiving light data; The regularization module is configured to regularize the returned data of the test optical modem returned by the OLT device by combining the natural speech processing capabilities of AI and regular expressions, and obtain the required fields and data therefrom.

8. The system according to claim 5, characterized in that The test module is also configured to: If the registration and dialing of the test optical modem are normal, it is determined that the port tested by the OLT device has met the network access conditions and can carry FTTH services, and all the test resources issued are recovered.

9. An electronic device, characterized in that: It includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor runs the computer program stored in the memory, the processor executes the FTTH project network access acceptance method based on AI guarding as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the FTTH project network access acceptance method based on AI guarding is implemented as described in any one of claims 1 to 4.

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