Splitter performance detection system and method

Abstract

The present invention discloses a splitter performance detection system and method, and relates to the technical field of splitter performance detection. According to the total use time, continuous use time and continuous load flow of an optical splitter, the correlation coefficients with the failure load flow and failure temperature are analyzed respectively, the failure load correlation coefficient and the failure temperature correlation coefficient are obtained, the predicted failure load flow and the predicted failure temperature are calculated, and the load warning threshold and the temperature warning threshold of the optical splitter are set; after receiving the temperature warning or the load warning, it is determined whether it is necessary to issue a scrap warning to the outside, after receiving the scrap warning, the scrap cycle number of the optical splitter is calculated according to the failure load flow and the failure temperature, and the scrap duration of the optical splitter is further calculated and output for display. Regardless of the state of the optical splitter, timely and accurate warning information can be obtained, and potential problems can be found before the optical splitter actually fails, so that there is enough time for intervention and maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of splitter performance detection, and in particular to a splitter performance detection system and method. Background Art

[0002] With the rapid development of information technology and the increasing popularity of network applications, optical splitters, as key components in optical fiber communication systems, play a vital role in ensuring the normal operation of the entire communication network. The main function of optical splitters is to distribute optical signals to different output ports according to a predetermined ratio. They are widely used in fiber-to-the-home, data centers, broadband access and other fields. However, with the expansion of network scale and the increase of transmission rate, the performance requirements of optical splitters are getting higher and higher. Traditional splitter detection methods often rely on manual operation and simple test instruments, and have problems such as low detection efficiency, poor accuracy, and low degree of automation. It is difficult to meet current needs. Therefore, the research and development of splitter performance detection systems and methods is particularly important.

[0003] In the Chinese invention application with application publication number CN117516868A, an intelligent detection system for optical splitters is disclosed, including an integrated IT comprehensive platform; the integrated IT comprehensive platform includes a product detection unit and a data analysis unit, wherein the product detection unit is used to scan and detect the product and transmit the scanned and detected data to the data analysis unit through a first transmission module, the data analysis unit receives the data through a second transmission module, and analyzes and counts the data; a database storage, the database storage is used to store the data analyzed and counted by the data analysis unit, and transmits the data to a cloud storage for backup through a third transmission module.

[0004] In the above invention application, the detection data of the optical splitter is collected and intelligently analyzed in real time to form quality warnings, SPC control charts and analysis to guide production and quality improvement. However, the failure problem of the optical splitter during use is not considered. At present, the failure of the optical splitter still relies on periodic detection and analysis by professional instruments such as optical power meters. However, it is unrealistic to install professional instruments at both ends of each optical splitter for detection. The cost is high and it can only determine the immediate status of the optical splitter, but it is impossible to detect potential problems or trends in advance. When performance problems actually occur, they may have affected the normal operation of the network. At this time, taking measures to repair or replace them will incur higher costs and time.

[0005] To this end, the present invention provides a splitter performance detection system and method. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the shortcomings of the prior art, the present invention provides a splitter performance detection system and method. The present invention predicts the failure load flow Yf by calculating n and predicted failure temperature Yw n , set the load warning threshold and temperature warning threshold of the optical splitter, and adjust the dynamic warning threshold in real time to ensure that the warning system always maintains a high degree of adaptability and flexibility. No matter what state the optical splitter is in, timely and accurate warning information can be obtained to discover potential problems before the optical splitter actually fails, so that there is enough time for intervention and maintenance to avoid losses caused by sudden failure of the equipment. And accurately analyze the scrapping time Bfs of the optical splitter, so that spare parts inventory and maintenance plans can be reasonably planned, which helps to reduce the additional costs and time losses caused by insufficient spare parts or untimely maintenance, thereby solving the technical problems recorded in the background technology.

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions: a splitter performance detection method, comprising the following steps:

[0010] Based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x and failure temperature Sw x The correlation coefficient of the failure load v is obtained z 、v s and v f And the failure temperature correlation coefficient w z 、w s and f , calculate and predict the failure load flow Yf n and predicted failure temperature Yw n , set the load warning threshold and temperature warning threshold of the optical splitter;

[0011] After receiving the temperature warning or load warning, it is determined whether it is necessary to issue a scrap warning. After receiving the scrap warning, according to the failure load flow Sf x and failure temperature Sw x The scrap cycle number Ts of the optical splitter is calculated, and the scrap duration Bfs of the optical splitter is further calculated and output for display.

[0012] Furthermore, the failure load flow Sf of the optical splitter each time the optical splitter fails is obtained according to the usage record of the optical splitter. x , failure temperature Sw x , total usage time Zs x , Continuous use time Lsx and continuous load flow Lf x .

[0013] The usage record of the optical splitter includes the real-time load Hf obtained by periodic monitoring of the network traffic monitoring software i The real-time temperature Hw obtained by periodic detection of the temperature sensor i , and the failure time Sk of each failure of the optical splitter x , Failure load flow Sf x , failure temperature Sw x , total usage time Zs x , Continuous use time Ls x and continuous load flow Lf x .

[0014] Furthermore, according to the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x The correlation coefficient of the failure load v is obtained z 、v s and v f :

[0015]

[0016] Wherein, x represents the order number of each failure of the optical splitter, x=1, 2, ..., n, n is a positive integer; v z Where z represents the total usage time of the optical splitter, similarly s represents the continuous usage time of the optical splitter, and f represents the continuous load flow of the optical splitter; Indicates the total usage time of the optical splitter Zs x The average value of It represents the average value of all continuous use time Ls of the optical splitter. Indicates the total continuous load flow Lf of the optical splitter x The average value of Indicates the total failed load flow Sf of the optical splitter x The average value of .

[0017] Furthermore, according to the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure temperature Sw x Correlation coefficient, obtain the failure temperature correlation coefficient w z 、w s and f :

[0018]

[0019] in, Indicates the failure temperature Sw of all optical splitters x The average value of .

[0020] Furthermore, according to the recent failure load flow Sf of the optical splitter n and failure load correlation coefficient v z 、v s and v f Calculate and predict the failure load flow Yf n , and based on the most recent failure temperature Sw n And the failure temperature correlation coefficient w z 、w s and f Calculate the predicted failure temperature Yw n :

[0021]

[0022] The predicted failure load flow Yf n Set as the load warning threshold of the optical splitter. When the real-time load flow of the optical splitter exceeds the load warning threshold, a load warning is sent out to predict the failure temperature Yw n Set as the temperature warning threshold of the optical splitter. When the real-time temperature of the optical splitter exceeds the temperature warning threshold, a temperature warning is sent out.

[0023] Further, after receiving the temperature warning or load warning, the real-time load Hf of the optical splitter is obtained. i And real-time temperature Hw i , count the average load of the optical splitter and average temperature , if the predicted failure load flow Yf n Less than Or predicted failure temperature Yw n Less than , a scrap warning is issued.

[0024] Furthermore, after receiving the scrap warning, the failure load flow Sf is obtained x and failure temperature Sw x , calculate the scrap cycle number Ts of the optical splitter:

[0025]

[0026] Among them, the scrap cycle number Ts is a positive integer.

[0027] Further, the failure time Sk of each failure of the optical splitter is obtained. x , combined with the scrap cycle number Ts of the optical splitter, calculate the scrap duration Bfs of the optical splitter:

[0028]

[0029] Wherein, k represents the number of cycles of continued use of the optical splitter after its most recent failure.

[0030] The splitter performance detection system includes:

[0031] Threshold dynamic adjustment module, based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x and failure temperature Sw x The correlation coefficient of the failure load v is obtained z 、v s and v f And the failure temperature correlation coefficient w z 、w s and f , calculate and predict the failure load flow Yf n and predicted failure temperature Yw n , set the load warning threshold and temperature warning threshold of the optical splitter;

[0032] The scrapping time prediction module determines whether it is necessary to issue a scrapping warning after receiving a temperature warning or a load warning. After receiving the scrapping warning, the module calculates the scrapping time prediction module based on the failure load flow Sf x and failure temperature Sw x The scrap cycle number Ts of the optical splitter is calculated, and the scrap duration Bfs of the optical splitter is further calculated and output for display.

[0033] (III) Beneficial effects

[0034] The present invention provides a splitter performance detection system and method, which have the following beneficial effects:

[0035] 1. Based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x and failure temperature Sw x The correlation coefficient of the failure load v is obtained z 、v s and v f And the failure temperature correlation coefficient wz 、w s and f , calculate and predict the failure load flow Yf n and predicted failure temperature Yw n , set the load warning threshold and temperature warning threshold of the optical splitter, and ensure that the warning system always maintains a high degree of adaptability and flexibility by adjusting the dynamic warning threshold in real time. No matter what state the optical splitter is in, timely and accurate warning information can be obtained, and potential problems can be discovered before the optical splitter actually fails, so that there is enough time for intervention and maintenance, avoiding losses caused by sudden failure of the equipment.

[0036] 2. After receiving the temperature warning or load warning, determine whether it is necessary to issue a scrap warning. After receiving the scrap warning, according to the failure load flow Sf x and failure temperature Sw x Calculate the scrap cycle number Ts of the optical splitter, and further calculate the scrap duration Bfs of the optical splitter. The output display can accurately analyze the scrap duration Bfs of the optical splitter, and reasonably plan the spare parts inventory and maintenance plan, which helps to reduce the additional cost and time loss caused by insufficient spare parts or untimely maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 Schematic diagram of the flow of the splitter performance detection method of the present invention;

[0038] Figure 2 It is a structural schematic diagram of the splitter performance detection system of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] See also Figure 1 The present invention provides a splitter performance detection method, comprising the following steps:

[0041] Step 1: Based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x and failure temperature Sw x The correlation coefficient of the failure load v is obtained z 、v sAnd the correlation coefficient between v and failure temperature w z 、w s and f , calculate and predict the failure load flow Yf n and predicted failure temperature Yw n , set the load warning threshold and temperature warning threshold of the optical splitter.

[0042] The step 1 includes the following contents:

[0043] Step 101: Obtain the failure load flow Sf of the optical splitter each time it fails based on the usage record of the optical splitter. x , failure temperature Sw x , total usage time Zs x , Continuous use time Ls x and continuous load flow Lf x .

[0044] The usage record of the optical splitter includes the real-time load Hf obtained by periodic monitoring of the network traffic monitoring software i The real-time temperature Hw obtained by periodic detection of the temperature sensor i , and the failure time Sk of each failure of the optical splitter x , Failure load flow Sf x , failure temperature Sw x , total usage time Zs x , Continuous use time Ls x and continuous load flow Lf x .

[0045] Step 102: Based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x The correlation coefficient of the failure load v is obtained z 、v s and v f :

[0046]

[0047] Wherein, x represents the order number of each failure of the optical splitter, x=1, 2, ..., n, n is a positive integer; v z Where z represents the total usage time of the optical splitter, similarly s represents the continuous usage time of the optical splitter, and f represents the continuous load flow of the optical splitter; Indicates the total usage time of the optical splitter Zs x The average value of It represents the average value of all continuous use time Ls of the optical splitter. Indicates the total continuous load flow Lf of the optical splitter x The average value of Indicates the total failed load flow Sf of the optical splitter x The average value of .

[0048] Step 103: Based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure temperature Sw x Correlation coefficient, obtain the failure temperature correlation coefficient w z 、w s and f :

[0049]

[0050] in, Indicates the failure temperature Sw of all optical splitters x The average value of .

[0051] Step 104: Based on the recent failure load flow Sf of the optical splitter n and failure load correlation coefficient v z 、v s and v f Calculate and predict the failure load flow Yf n , and based on the most recent failure temperature Sw n And the failure temperature correlation coefficient w z 、w s and f Calculate the predicted failure temperature Yw n :

[0052]

[0053] The predicted failure load flow Yf n Set as the load warning threshold of the optical splitter. When the real-time load flow of the optical splitter exceeds the load warning threshold, a load warning is sent out to predict the failure temperature Yw n Set as the temperature warning threshold of the optical splitter. When the real-time temperature of the optical splitter exceeds the temperature warning threshold, a temperature warning is sent out.

[0054] When using, combine the contents in steps 101 to 104:

[0055] Based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sfx and failure temperature Sw x The correlation coefficient of the failure load v is obtained z 、v s and v f And the failure temperature correlation coefficient w z 、w s and f , calculate and predict the failure load flow Yf n and predicted failure temperature Yw n , set the load warning threshold and temperature warning threshold of the optical splitter, and ensure that the warning system always maintains a high degree of adaptability and flexibility by adjusting the dynamic warning threshold in real time. No matter what state the optical splitter is in, timely and accurate warning information can be obtained, and potential problems can be discovered before the optical splitter actually fails, so that there is enough time for intervention and maintenance, avoiding losses caused by sudden failure of the equipment.

[0056] Step 2: After receiving the temperature warning or load warning, determine whether it is necessary to issue a scrap warning. After receiving the scrap warning, according to the failure load flow Sf x and failure temperature Sw x The scrap cycle number Ts of the optical splitter is calculated, and the scrap duration Bfs of the optical splitter is further calculated and output for display.

[0057] The step 2 includes the following contents:

[0058] Step 201: After receiving the temperature warning or load warning, obtain the real-time load Hf of the optical splitter i And real-time temperature Hw i , count the average load of the optical splitter and average temperature , if the predicted failure load flow Yf n Less than Or predicted failure temperature Yw n Less than , a scrap warning is issued.

[0059] Step 202: After receiving the scrap warning, obtain the failed load flow Sf x and failure temperature Sw x , calculate the scrap cycle number Ts of the optical splitter:

[0060]

[0061] Among them, the scrap cycle number Ts is a positive integer.

[0062] Step 203: Obtain the failure time Sk of each failure of the optical splitter x, combined with the scrap cycle number Ts of the optical splitter, calculate the scrap duration Bfs of the optical splitter:

[0063]

[0064] Wherein, k represents the number of cycles of continued use of the optical splitter after its most recent failure.

[0065] When using, combine the contents in steps 201 to 203:

[0066] After receiving the temperature warning or load warning, it is determined whether it is necessary to issue a scrap warning. After receiving the scrap warning, according to the failure load flow Sf x and failure temperature Sw x Calculate the scrap cycle number Ts of the optical splitter, and further calculate the scrap duration Bfs of the optical splitter. The output display can accurately analyze the scrap duration Bfs of the optical splitter, and reasonably plan the spare parts inventory and maintenance plan, which helps to reduce the additional cost and time loss caused by insufficient spare parts or untimely maintenance.

[0067] See also Figure 2 The present invention provides a splitter performance detection system, comprising:

[0068] Threshold dynamic adjustment module, based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x and failure temperature Sw x The correlation coefficient of the failure load v is obtained z 、v s and v f And the failure temperature correlation coefficient w z 、w s and f , calculate and predict the failure load flow Yf n and predicted failure temperature Yw n , set the load warning threshold and temperature warning threshold of the optical splitter.

[0069] The scrapping time prediction module determines whether it is necessary to issue a scrapping warning after receiving a temperature warning or a load warning. After receiving the scrapping warning, the module calculates the scrapping time prediction module based on the failure load flow Sf x and failure temperature Sw x The scrap cycle number Ts of the optical splitter is calculated, and the scrap duration Bfs of the optical splitter is further calculated and output for display.

[0070] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0071] The units described as separate components may or may not be physically separated, and the components shown as units 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 units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0072] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0073] In particular, according to some embodiments of the present disclosure, the process described above can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device, or installed from a ROM. When the computer program is executed by a processing device, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0074] It should be noted that the computer-readable medium recorded in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a mission data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated mission data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0075] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperTextTransferProtocol), and may be interconnected with any form or medium of digital task data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an adhoc peer-to-peer network), as well as any currently known or future developed network.

[0076] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: in response to detecting a query operation on a production collaboration document in a switch production line management application, determines the network connection status of the switch production line management application; in response to determining that the network connection status of the switch production line management application represents an offline state, replaces the web page entry information corresponding to the production collaboration document with target entry file information, and loads target web page resource information to display the web page of the production collaboration document offline in the switch production line management application, wherein the target entry file information is file information of a pre-downloaded entry file corresponding to the web page of the production collaboration document, and the target web page resource information is locally stored resource information corresponding to the web page; in response to determining that the network connection status of the switch production line management application represents an online state, and the web page resource information corresponding to the production collaboration document is not stored locally, downloads the web page resource information of the web page from the production line document server, wherein the web page resource information includes an entry file and resource information; according to the web page resource information, displays the web page of the production collaboration document in the switch production line management application, and stores the web page resource information in a local database.

[0077] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including product-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0078] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for detecting performance of an optical splitter, characterized in that: The steps include: Based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x and failure temperature Sw x The correlation coefficient of the failure load v is obtained z 、v s and v f And the failure temperature correlation coefficient w z 、w s and f , calculate and predict the failure load flow Yf n and predicted failure temperature Yw n , set the load warning threshold and temperature warning threshold of the optical splitter; Based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x The correlation coefficient of the failure load v is obtained z 、v s and v f ,include: Wherein, x represents the sequential number of each failure of the optical splitter, x=1, 2, ..., n, and n is a positive integer; Indicates the total usage time of the optical splitter Zs x The average value of Indicates the total continuous use time of the optical splitter Ls x The average value of Indicates the total continuous load flow Lf of the optical splitter x The average value of Indicates the total failed load flow Sf of the optical splitter x The average value of Based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure temperature Sw x Correlation coefficient, obtain the failure temperature correlation coefficient w z 、w s and f : in, Indicates the failure temperature Sw of all optical splitters x The average value of According to the recent failure load flow Sf of the optical splitter n and failure load correlation coefficient v z 、v s and v f Calculate and predict the failure load flow Yf n , and based on the most recent failure temperature Sw n And the failure temperature correlation coefficient w z 、w s and f Calculate the predicted failure temperature Yw n : The predicted failure load flow Yf n Set as the load warning threshold of the optical splitter. When the real-time load flow of the optical splitter exceeds the load warning threshold, a load warning is sent out to predict the failure temperature Yw n Set as the temperature warning threshold of the optical splitter. When the real-time temperature of the optical splitter exceeds the temperature warning threshold, a temperature warning is sent out. After receiving the temperature warning or load warning, it is determined whether it is necessary to issue a scrap warning. After receiving the scrap warning, according to the failure load flow Sf x and failure temperature Sw x Calculate the scrap cycle number Ts of the optical splitter, and further calculate the scrap duration Bfs of the optical splitter for output and display; After receiving the scrap warning, obtain the failed load flow Sf x and failure temperature Sw x , calculate the scrap cycle number Ts of the optical splitter, including: Among them, the scrap cycle number Ts is a positive integer; Get the failure time Sk of each optical splitter failure x , combined with the scrap cycle number Ts of the optical splitter, calculate the scrap duration Bfs of the optical splitter: Wherein, k represents the number of cycles of continued use of the optical splitter after its most recent failure.

2. The splitter performance detection method according to claim 1, characterized in that: Obtain the failure load flow Sf of the optical splitter each time it fails based on the usage record of the optical splitter x , failure temperature Sw x , total usage time Zs x , Continuous use time Ls x and continuous load flow Lf x .

3. The splitter performance detection method according to claim 2, characterized in that: The usage record of the optical splitter includes the real-time load Hf obtained by periodic monitoring of the network traffic monitoring software i The real-time temperature Hw obtained by periodic detection of the temperature sensor i , and the failure time Sk of each failure of the optical splitter x , Failure load flow Sf x , failure temperature Sw x , total usage time Zs x , Continuous use time Ls x and continuous load flow Lf x .

4. An optical splitter performance detection system, used to implement the method according to any one of claims 1 to 3, characterized in that: include: Threshold dynamic adjustment module, based on the total usage time Zs of the optical splitter x , Continuous use time Ls x and continuous load flow Lf x , respectively analyze its relationship with the failure load flow Sf x and failure temperature Sw x The correlation coefficient of the failure load v is obtained z 、v s and v f And the failure temperature correlation coefficient w z 、w s and f , calculate and predict the failure load flow Yf n and predicted failure temperature Yw n , set the load warning threshold and temperature warning threshold of the optical splitter; The scrapping time prediction module determines whether it is necessary to issue a scrapping warning after receiving a temperature warning or a load warning. After receiving the scrapping warning, the module calculates the scrapping time prediction module based on the failure load flow Sf x and failure temperature Sw x The scrap cycle number Ts of the optical splitter is calculated, and the scrap duration Bfs of the optical splitter is further calculated and output for display.

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