Self-adaptive liquid cooling cabinet photoelectric conversion system and method

Abstract

The invention discloses a self-adaptive liquid cooling cabinet photoelectric conversion system and method, relates to the technical field of photoelectric communication, and aims to solve the problem of high failure rate of an existing packaging optical module. The system comprises an optical transmitting and receiving end which is respectively connected with a main optical module and a central processing unit and is used for transmitting and receiving optical signals; the electric transmitting and receiving end is respectively connected with the main optical module and the central processing unit and is used for transmitting and receiving the electric signal; the main optical module is respectively connected with the optical transmitting and receiving end and the electric transmitting and receiving end, realizes signal transmission through photoelectric conversion or electro-optical conversion, and comprises a plurality of optical modules which are connected in parallel; the backup optical module is connected with the central processing unit and is controlled by the central processing unit to be started or not; and the central processing unit is used for detecting the working conditions of the main optical module and the backup optical module in real time and controlling the direction of each path of signal. According to the invention, photoelectric conversion of optical signals in a non-coolant environment can be realized, and the transmission stability and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the field of optoelectronic communication technology, and in particular to an adaptive liquid cooling cabinet optoelectronic conversion system and method. Background Art

[0002] In order to ensure the stable operation of the main equipment of the base station, focusing on the demand for centralized heat dissipation of 5G BBU equipment, we gradually explore and apply new technologies and processes for carbon reduction and energy saving at different stages of development, mainly conducting technical research and promotion and application of the new vertical plug-in frame heat dissipation system of 5G BBU and the new liquid cooling cabinet system of 5GBBU. The new 5G BBU liquid cooling cabinet system uses insulating and inert special liquid instead of air as a cooling medium to dissipate heat for the heat-generating BBU equipment. The coolant has a specific heat capacity of more than 1,000 times that of air and a thermal conductivity of 6 times, which greatly reduces the dependence of the computer room on air conditioning and reduces the operating costs of the enterprise. At the same time, the immersion liquid cooling cabinet system has the characteristics of low noise, low vibration, and dust isolation, which improves the operating efficiency of the main equipment and extends its service life.

[0003] In the above-mentioned liquid cooling technology, the 5G BBU equipment is in direct contact with the cooling liquid, and the heat of the equipment is taken away by liquid circulation. At present, there are mainly two series of products according to different product forms, application scenarios and working methods: immersion liquid cooling system and spray liquid cooling system. In the construction process of the contact liquid cooling energy-saving system, the internal devices of the equipment are in direct contact with the liquid. Due to the insulation of the coolant, it will not affect the normal operation of the electronic components of the equipment. However, the physical properties such as refraction and scattering of the optical signal when it is transmitted in the liquid environment affect the quality of optical communication. In the current 5G networking, data transmission between BBU and AAU, and between BBU and transmission equipment needs to be carried out through optical modules, so it is necessary to carry out corresponding packaging modification on the optical module at the BBU end, combine the optical module and LC connector optical fiber into one, form a pigtail-type integrated optical module, ensure the airtightness of the packaged optical module, and prevent the optical module from entering the liquid and affecting the optical transmission. Limited by cost and packaging process, the failure rate of packaged optical modules in the current liquid cooling cabinet environment has always been higher than the failure rate of optical modules in normal air, which has greatly affected the promotion of new liquid cooling technology. Summary of the invention

[0004] The present invention solves the problem of high failure rate of existing packaged optical modules and proposes an adaptive liquid cooling cabinet photoelectric conversion system and method to realize photoelectric conversion of optical signals in a non-cooling liquid environment and improve the stability and reliability of transmission.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: an adaptive liquid cooling cabinet photoelectric conversion system, comprising: The optical transmitting and receiving ends are respectively connected to the main optical module and the central processing unit to send and receive optical signals; The electrical transmitting and receiving end is connected to the main optical module and the central processing unit respectively to send and receive electrical signals; The main optical module is connected to the optical transmitting and receiving end and the electrical transmitting and receiving end respectively, realizes signal transmission through photoelectric conversion or electro-optical conversion, and includes several optical modules connected in parallel; The backup optical module is connected to the central processing unit and is controlled by the central processing unit to be enabled or not; The central processing unit detects the working status of the main optical module and the backup optical module in real time and controls the direction of each signal.

[0006] The optoelectronic conversion system of the present technical solution mainly includes an optical transmitting and receiving end, an electrical transmitting and receiving end, a main optical module, a backup optical module and a central processing unit. The corresponding optical signal is sent and received through the optical transmitting and receiving end, and the electrical signal is sent and received through the electrical transmitting and receiving end. The central processing unit can detect the working condition of the main optical module and determine whether the corresponding optical module has an abnormality. If an abnormality occurs, the backup optical module is enabled. The technical solution of the present application can realize the optoelectronic conversion of optical signals in a non-coolant environment, and the addition of a backup optical module can greatly reduce accidents caused by optical module failures.

[0007] The present invention is further configured as follows: the optical transmitting and receiving end includes an optical transmitting end and an optical receiving end, the optical transmitting end transmits the optical signal to the main optical module and the central processing unit respectively after passing through the optical splitter; the optical receiving end receives the optical signal of the main optical module or the central processing unit.

[0008] In the present technical solution, the optical transmitting end of the optical transmitting and receiving end can split the optical signal of the source end into two, one optical signal is transmitted to the main optical module, and the other optical signal is transmitted to the central processing unit, which determines whether to transmit the optical signal to the backup optical module; the receiving end receives the optical signals sent by the main optical module and the central processing unit.

[0009] The present invention is further configured as follows: each optical module in the main optical module is fixedly connected via a plurality of movable clamps, and the optical modules all support hot plugging.

[0010] In the technical solution, each optical module is a hot-swappable optical module, and each optical module is fixed by four movable clamps.

[0011] The present invention is further configured as follows: the electrical transmitting and receiving end includes an electrical transmitting end and an electrical receiving end, the electrical transmitting end sends electrical signals to the main optical module and the central processing unit respectively, and the electrical receiving end receives electrical signals from the main optical module or the central processing unit.

[0012] In this technical solution, the transmitting end of the electrical transmitting and receiving end can split the electrical signal of the 5G BBU into two, one electrical signal is sent to the optical module, and the other electrical signal is sent to the central processing unit. The central processing unit determines whether to transmit the electrical signal to the backup optical module, and its receiving end can receive electrical signals from the main optical module and the central processing unit.

[0013] The present invention is further configured as follows: the backup optical module includes an optical path end and a circuit end, and the optical path end and the circuit end are both divided into two, one of which is connected to the central processing unit, and the other is connected to the backup optical module of another optoelectronic conversion system.

[0014] In this technical solution, the backup optical module can be enabled when the optical module of the main optical module fails, and the backup optical module can also be connected to the backup optical module of another optoelectronic conversion system to achieve a sharing function.

[0015] An adaptive liquid cooling cabinet photoelectric conversion method is applicable to the above-mentioned adaptive liquid cooling cabinet photoelectric conversion system, comprising the following steps: When t optical modules (t<5) of the main optical module are all used, the central processing unit detects the working status of the main optical module in real time; if there are s optical modules (s<4 and s<t) working abnormally, the central processing unit controls the signal to switch to the backup optical module, and the backup optical module and the unused 5-t optical modules perform photoelectric or electro-optical conversion, and the abnormal optical module has a corresponding LED light indication; after the normal optical module is replaced, the central processing unit controls the signal to switch back to the original route.

[0016] In the present technical solution, when a single adaptive liquid cooling cabinet photoelectric conversion system is working, the central processing unit can detect the working status of the working optical module in real time. After detecting that the corresponding optical module has a fault, the central processing unit performs switching, that is, switches it to the backup optical module, and after waiting for the fault to be eliminated, switches back to the original route.

[0017] The present invention is further configured such that: if n sets of optoelectronic conversion systems are configured at the same time, n backup optical modules can be shared among the n sets of optoelectronic conversion systems.

[0018] The present invention is further configured as follows: when t optical modules are used (t<2n), the central processing unit detects the working conditions of the t optical modules in real time. If s optical modules (s<(3n+1)) are working abnormally, the central processing unit controls the signal to switch to the backup optical module and the unused 2n-t optical modules. The backup optical module and the 2n-t optical modules perform photoelectric or electro-optical conversion. The abnormal optical module has a corresponding LED light indication. After the normal optical module is replaced, the central processing unit controls the signal to switch back to the original route.

[0019] In the technical solution, when multiple photoelectric conversion systems are working, the central processing unit can also perform fault identification and fault switching.

[0020] The present invention is further configured as follows: the central processing unit detects the working status of the main optical module in real time, including the following steps: obtaining optical module parameters, determining the dependent variable and independent variable of the regression model, constructing a multivariate linear regression equation, and performing weight value matching calculation; evaluating the significance and degree of fit of the regression model, calculating the optical loss rate of the optical module through the multivariate linear regression equation, and the central processing unit predicts whether a certain optical module needs to be replaced based on the predicted optical loss rate.

[0021] In the present technical solution, the above method is used to calculate the probability of damage to the optical module, and then determine whether the optical module needs to be replaced.

[0022] The present invention is further configured as follows: T test and F test are used for significance evaluation; R square and adjusted R square are used for fit evaluation.

[0023] In this technical solution, the central processing unit evaluates the significance and fit of the regression model to ensure the effectiveness and reliability of the model.

[0024] The present invention can bring the following beneficial effects: 1. The adaptive liquid-cooled cabinet photoelectric conversion system of the present invention can combine the characteristics of liquid cooling, lead the BBU optical module out of the coolant separately, and add a backup optical module, which greatly reduces the probability of optical module failure; 2. The optical modules connected by the present invention can share resources with each other to optimize the utilization of the optical modules; 3. The present invention provides a prediction of the probability of optical module damage, predicts the damage of the optical module, and provides a practical guarantee for the normal operation of the network; 4. The present invention can locate system fault points and facilitate network operation and maintenance; 5. The present invention is scalable and suitable for diversified scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a plan view of an embodiment 1 of an adaptive liquid cooling cabinet photoelectric conversion system of the present application.

[0026] Figure 2 It is a structural schematic diagram of Example 1 of an adaptive liquid cooling cabinet photoelectric conversion system of the present application.

[0027] Figure 3 It is a flow chart of Embodiment 2 of an adaptive liquid cooling cabinet photoelectric conversion method of the present application.

[0028] Figure 4It is a schematic diagram of an embodiment 4 of an adaptive liquid cooling cabinet photoelectric conversion system.

[0029] Reference numerals: 101, first optical module 102, second optical module 103, third optical module 104, fourth optical module 105, fifth optical module 200, central processing unit 201, backup optical module 301, optical transmitting and receiving end 302, electrical transmitting and receiving end 1011, movable clamp 1012, splitter 1013, power divider 1014, LED lamp. DETAILED DESCRIPTION

[0030] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation method described herein is only an optimal embodiment of the present invention, which is only used to explain the present invention and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0031] Example 1 In the contact liquid cooling energy-saving system, electronic equipment can work normally. In order to achieve long-distance, high-speed signal transmission and improve the stability and reliability of transmission, 5G BBU uses photoelectric conversion to transmit signals. After adopting the liquid cooling system, the 5G BBU is in direct contact with the coolant, and the photoelectric conversion process is also carried out in the coolant. However, when the optical signal is transmitted in a liquid environment, physical properties such as refraction and scattering will occur, which will eventually affect the quality of optical communication, while the transmission of electrical signals is not affected by the coolant. Therefore, it is considered to directly lead out the signal and perform photoelectric conversion in a non-coolant environment.

[0032] To this end, this application proposes an adaptive liquid cooling cabinet photoelectric conversion system, referring to Figure 1 and Figure 2 , which mainly includes an optical transmitting and receiving end 301, a main optical module, an electrical transmitting and receiving end 302, a backup optical module 201 and a central processing unit 200.

[0033] The optical transmitting and receiving ends are respectively connected to the main optical module and the central processing unit, and the optical transmitting and receiving ends can realize the sending and receiving of optical signals.

[0034] The electrical transmitting and receiving end is connected to the main optical module and the central processing unit respectively, and the electrical transmitting and receiving end can realize the sending and receiving of electrical signals.

[0035] The main optical module mainly includes a plurality of optical modules connected in parallel. The main optical modules are respectively connected to the optical transmitting and receiving end and the electrical transmitting and receiving end. The main optical module can realize signal transmission through photoelectric conversion or electro-optical conversion.

[0036] The backup optical module is connected to the central processing unit, and the backup optical module is controlled by the central processing unit to determine whether to start using it.

[0037] The central processing unit has the following functions: real-time detection of the working conditions of the main optical module and the backup optical module, and control of the direction of each signal.

[0038] The above-mentioned optoelectronic conversion system of the present technical solution mainly includes an optical transmitting and receiving end, an electrical transmitting and receiving end, a main optical module, a backup optical module and a central processing unit. The corresponding optical signal is sent and received through the optical transmitting and receiving end, and the electrical signal is sent and received through the electrical transmitting and receiving end. The central processing unit can detect the working condition of the main optical module and determine whether the corresponding optical module has an abnormality. If an abnormality occurs, the backup optical module is enabled. The technical solution of the present application can realize the optoelectronic conversion of optical signals in a non-coolant environment, and the addition of a backup optical module can greatly reduce accidents caused by optical module failures.

[0039] The optical transmitting and receiving end mainly includes an optical transmitting end and an optical receiving end. The optical transmitting end can transmit the optical signal to the main optical module and the central processing unit respectively through the optical splitter 1012, and the optical receiving end receives the optical signal from the main optical module or the central processing unit.

[0040] In the present technical solution, the optical transmitting end of the optical transmitting and receiving end can split the optical signal of the source end into two, one optical signal is transmitted to the main optical module, and the other optical signal is transmitted to the central processing unit, which determines whether to transmit the optical signal to the backup optical module; the receiving end receives the optical signals sent by the main optical module and the central processing unit.

[0041] In this embodiment, the optical fiber interface between the optical transmitting and receiving end and the optical module is determined by the specific type of the optical module.

[0042] Each optical module of the main optical module is fixed by multiple movable clamps, and each optical module supports hot swapping.

[0043] The main optical module can realize signal transmission through photoelectric conversion or electro-optical conversion. In this embodiment, each optical module is fixed by 4 movable clamps, and the optical module supports hot plugging.

[0044] In this embodiment, the main optical module may be provided with five optical modules, specifically including a first optical module 101 , a second optical module 102 , a third optical module 103 , a fourth optical module 104 and a fifth optical module 105 .

[0045] In addition, the number of optical modules can be configured according to the usage scenario.

[0046] The electrical transmitting and receiving end includes an electrical transmitting end and an electrical receiving end. The electrical transmitting end sends the electrical signal to the main optical module and the central processing unit respectively, and the electrical receiving end receives the electrical signal from the main optical module or the central processing unit; specifically, the electrical transmitting end can split the electrical signal into two through the power divider 1013.

[0047] In this technical solution, the transmitting end of the electrical transmitting and receiving end can split the electrical signal of the 5G BBU into two, one electrical signal is sent to the optical module, and the other electrical signal is sent to the central processing unit. The central processing unit determines whether to transmit the electrical signal to the backup optical module, and its receiving end can receive electrical signals from the main optical module and the central processing unit.

[0048] The backup optical module mainly includes an optical path end and a circuit end. The optical path end and the circuit end are both divided into two, one of which is connected to the central processing unit, and the other is connected to the backup optical module of another optoelectronic conversion system.

[0049] In this technical solution, the backup optical module can be enabled when the optical module of the main optical module fails, and the backup optical module can also be connected to the backup optical module of another optoelectronic conversion system to achieve a sharing function.

[0050] Further, Figure 1 Taking as an example, an adaptive liquid cooling cabinet photoelectric conversion system of this embodiment is described in detail. An adaptive liquid cooling cabinet photoelectric conversion system of this embodiment includes: 1 optical transmitting and receiving end, including 5 main optical transmitting and receiving ends, a splitter, 1 backup optical transmitting and receiving end and a splitter, which can perform optical path transmission and reception and optical splitting; 5 optical modules, which can perform photoelectric conversion and electro-optical conversion of 5 signals, and the main optical module is fixed by a movable clamp and supports hot plugging; 1 electrical transmitting and receiving end, including 5 main electrical transmitting and receiving ends, a power splitter, 1 backup electrical transmitting and receiving end and a power splitter; 1 backup optical module, which can perform photoelectric conversion and electro-optical conversion of backup route signals, and the backup optical module is fixed by a movable clamp and supports hot plugging; 1 central processing unit, which can control the direction of 5 main optical transmitting and receiving ends, 5 main electrical transmitting and receiving ends and backup route signals.

[0051] Example 2 Based on the adaptive liquid cooling cabinet photoelectric conversion system of embodiment 1, this embodiment proposes an adaptive liquid cooling cabinet photoelectric conversion method, which includes the following steps.

[0052] refer to Figure 1 , Figure 2 and Figure 3 ,based on Figure 1 The conversion process is as follows: the central processing unit monitors the working status of the main optical module in real time. When all the main optical modules are in use, if one optical module works abnormally, the central processing unit controls the signal to switch to the backup optical module, which performs photoelectric or electro-optical conversion. The abnormal optical module has a corresponding LED light 1014 to indicate that the abnormal optical module has been replaced. After the normal optical module is replaced, the central processing unit 200 controls the signal to switch back to the original route.

[0053] It can be deduced that when t optical modules (t<5) of the main optical module are all in use, the central processing unit detects the working status of the main optical module in real time; if there are s optical modules (s<4 and s<t) working abnormally, the central processing unit controls the signal to switch to the backup optical module, and the backup optical module and the unused 5-t optical modules perform photoelectric or electro-optical conversion, and the abnormal optical module has a corresponding LED light indication; after the normal optical module is replaced, the central processing unit controls the signal to switch back to the original route.

[0054] In the present technical solution, when a single adaptive liquid cooling cabinet photoelectric conversion system is working, the central processing unit can detect the working status of the working optical module in real time. After detecting that the corresponding optical module has a fault, the central processing unit performs switching, that is, switches it to the backup optical module, and after waiting for the fault to be eliminated, switches back to the original route.

[0055] Example 3 In the conversion process of Example 2, this embodiment further details the specific process of the central processing unit detecting the working status of the main optical module in real time, that is, the process of judging whether the optical module needs to be replaced by calculating the probability of damage to the optical module, which specifically includes: obtaining the optical module parameters, determining the dependent variable and independent variable of the regression model, constructing a multivariate linear regression equation, and performing weight value matching calculation; evaluating the significance and degree of fit of the regression model, calculating the optical loss rate of the optical module through the multivariate linear regression equation, and the central processing unit predicting whether a certain optical module needs to be replaced based on the predicted optical loss rate. Among them, the significance evaluation adopts the T test and the F test; the degree of fit evaluation adopts the R square and the adjusted R square.

[0056] In more detail, it includes the following steps.

[0057] Step S1: The central processing unit obtains optical module parameters; it includes the following sub-steps.

[0058] Step S1-1: The central processing unit obtains indicators related to the optical module light loss rate, including operating temperature X1, operating voltage X2, bias current X3, receiving power X4, and transmitting power X5.

[0059] Step S1-2: The central processing unit processes the original data, including the following multiple processing methods.

[0060] 1. Data cleaning: Check the data set for missing values, outliers, and errors. Decide how to handle missing data (for example, fill in with the mean, median, or interpolation method, or delete records with missing values).

[0061] 2. Data classification: Classify the data according to its type (qualitative or quantitative) and level of measurement (nominal, ordinal, interval or ratio).

[0062] 3. Data coding: For categorical data, appropriate coding is performed, for example, using dummy variables to represent nominal variables. Dummy variables are artificial variables used to reflect qualitative attributes. They are quantified independent variables and usually take values ​​of 0 or 1. Introducing dummy variables can make the linear regression model more complex, but the description of the problem is more concise and close to reality.

[0063] 4. Evaluation and scoring: For subjective indicators without clear values, they are scored on a 5-point scale, that is, 5 means very high, 4 means medium high, 3 means slightly high, 2 means medium high, 1 means moderately high, 0 means not high, and decimals mean that the level is within the critical integer range.

[0064] Step S2: Determine the dependent variable and independent variable of the regression model, which mainly includes the following sub-steps.

[0065] Step S2-1: The dependent variable is the dependent variable in the regression model, which is the variable to be predicted or explained, usually expressed as Y. Here, the optical module light loss rate is the dependent variable Y.

[0066] Step S2-2: Independent variables are variables that may affect the dependent variable and can be used to build models to predict or explain changes in the dependent variable. Independent variables are usually represented as X1, X2, X3, ..., Xn, where n is the number of independent variables. When selecting independent variables, they should be based on theory, previous research, or exploratory data analysis. Here, operating temperature X1, operating voltage X2, bias current X3, received power X4, and transmitted power X5 are represented.

[0067] Step S3: Construct a multivariate linear regression equation and calculate the weight value matching; The purpose of constructing a multivariate linear regression equation is to quantify the strength of the linear relationship between the existing dependent variable (optical loss rate) and the independent variables (operating temperature, operating voltage, bias current, receiving power, and transmitting power), and use the regression equation to predict the future value of the dependent variable based on different independent variable values.

[0068] More specifically, the multiple linear regression model is as follows: The general form is: Y=β0+β1X1+β2X2+…+β k X k +μ Among them, Y is the dependent variable, X is the independent variable, and there are k independent variables and one constant term in the above formula. If the independent variable is standardized, there is no constant term in the above formula. In other words, the expected value of Y and the functional relationship of the independent variable are as follows: E(Y) = β0 + β1X1 + β2X2 + ... + β k X k .

[0069] condition: The following conditions must be met when using multiple linear regression: (1) There is a linear relationship between the dependent variable Y and the independent variable X. (2) Each observation Y is independent of each other. (3) The residual e has a mean of 0 and a variance of δ 2 That is, for any set of observations of the independent variable, the dependent variable Y has the same variance and follows a normal distribution.

[0070] Parameter estimates: The multiple linear regression equation has k+1 coefficients to be estimated, expressed as: They can be estimated using a set of observations. The commonly used parameter estimation method is the least squares method. The ordinary least squares method finds the best function by minimizing the sum of squares of errors. Matrix operations are commonly used to solve the coefficient matrix, specifically: Assuming that the estimated coefficient matrix β is calculated using the above formula, the sample fitting value or regression value can be further calculated, which is specifically expressed as: Among them, the fitting function of a component of Y is: The difference between the actual sample observations and the fitted values ​​is called the residual: The idea of ​​the least squares method is to minimize the residual sum of squares of the sample data and then obtain the optimal regression coefficient, which is specifically expressed as: Even if the minimum value is obtained, the above formula is used to calculate the partial derivative of k+1 coefficients and make the derivative equal to 0, that is, the ordinary least squares estimator of β is obtained. The matrix calculation formula refers to the above coefficient matrix estimation equation.

[0071] Step S4: Evaluate the significance and fit of the regression model; after obtaining the multivariate linear regression prediction equation, the central processing unit evaluates the significance and fit of the regression model to ensure the validity and reliability of the model.

[0072] More specifically, the central processing unit mainly performs the following tests.

[0073] Significance test: t-test: Perform a t-test on the coefficient of each independent variable to determine whether the variable has a significant effect on the dependent variable. If the p-value of the t-test is less than the significance level (such as 0.05), the coefficient of the variable is statistically significant. (The significance levels usually selected are 0.05 and 0.01, indicating the probability of falsely rejecting the null hypothesis that one is willing to accept.) F test: Test the significance of the entire regression model. If the p-value of the F test is less than the significance level, it indicates that at least one predictor variable in the model has a statistically significant effect on the dependent variable.

[0074] Goodness of fit test: R-squared: measures the ratio of the variation explained by the model to the total variation. The closer the R-squared value is to 1, the stronger the explanatory power of the model.

[0075] Adjusted R-squared: Adjusted R-squared takes into account the number of independent variables in the model and is more suitable for comparing models containing different numbers of independent variables.

[0076] Residual analysis: Check the distribution of residuals (the difference between the actual observations and the values ​​predicted by the model) to determine whether the model meets the basic assumptions of regression analysis, such as normality, independence, and homogeneity of variance of the residuals.

[0077] Normality tests were performed on the residuals to ensure that they were approximately normally distributed.

[0078] Step S5: Calculate the optical loss rate Y of the optical module using a multiple linear regression equation. Through the above steps, a multiple linear regression equation for predicting the settlement price that has been tested for significance and fit can be obtained, which is specifically expressed as follows: Y=β0+β1X1+β2X2+…+β k X k +μ Substitute various data of the optical module light loss rate Y to obtain its predicted light loss rate.

[0079] The central processing unit determines which optical module needs to be replaced based on the predicted optical loss rate, and indicates this by the color of the LED light.

[0080] Furthermore, the above technical solution is further illustrated by an example.

[0081] In step S1, optical module data is acquired through a central processing unit.

[0082] In this embodiment, the central processing unit obtains 30 optical loss rate detection series that have occurred in the recent operation of the optical module, as shown in Table 1, and further processes the data: Table 1 Statistics of light loss rate and related indicators

[0083] Then the data were cleaned, classified, coded and evaluated.

[0084] 1. Data cleaning Check your dataset for missing values, outliers, and errors. Decide how to handle missing data (for example, fill in using the mean, median, or interpolation, or delete records with missing values).

[0085] 2. Data classification Categorize data based on their type (qualitative or quantitative) and level of measurement (nominal, ordinal, interval, or ratio).

[0086] 3. Data encoding For text information in categorical data, nominal variables are used, which usually take values ​​of 0 or 1.

[0087] 4. Evaluation and scoring For subjective indicators without clear values, they are scored on a 5-point scale, that is, 5 means very severe, 4 means moderately severe, 3 means slightly severe, 2 means moderately severe, 1 means moderately severe, 0 means not severe, and decimals mean that the degree is within the critical integer range.

[0088] Step S2: Determine the dependent variable and the independent variable. The dependent variable is the optical loss rate of the optical module, and the independent variables are the operating temperature, operating voltage, bias current, receiving power, and transmitting power, as shown in Table 1 for details.

[0089] Step S3: construct a multivariate linear regression equation and calculate the weight value matching.

[0090] According to the dependent variable and independent variable determined in step S3, a standard multiple linear regression equation is constructed as follows: Y = β0 + β1X1 + β2X2 + β3X3 + μ Among them, Y is the dependent variable, X is the independent variable, and μ is the constant term. There are 5 independent variables and one constant term in the above formula. If the independent variables are standardized, there is no constant term in the above formula.

[0091] Y = optical loss rate, X1 = operating temperature, X2 = operating voltage, X3 = bias current, X4 = received power, X5 = transmitted power.

[0092] Introducing the regression model, retaining the flag bit, setting a 5% confidence level, and obtaining the regression statistics shown in Tables 2 and 3: Table 2 Regression statistics Table 3 Analysis of variance df SS MS F Significance F Regression analysis 17 33.461550 6.692310 304.090800 0.000296 Residual-SSR 13 0.066023 0.022008 total 30 33.527570 .

[0093] Significance F (the significance of the F statistic) can assess whether the explanatory power of all predictor variables in the entire regression model as a whole for the response variable is significant. Usually, a significance level (such as 0.01) is set. If the p-value of Significance F is less than this level, at least one predictor variable in the model has significant explanatory power for the response variable.

[0094] In the above technical solution, the Significance F value is 0.000296<0.01, which means that the model as a whole is significant, that is, the set of predictor variables in the model has a statistically significant effect on the response variable.

[0095] From the Coefficients column in Table 4, we can find the weight coefficients β1 = -0.081264, β2 = 1.253607, β3 = -0.656893, β4 = 0.032301, β5 = 0.012113, and the intercept value = -4.977943; Table 4F Test

[0096] Step S4: Evaluate the significance and fit of the regression model. After obtaining the multivariate linear regression prediction equation, it is necessary to evaluate the significance and fit of the regression model to ensure the validity and reliability of the model.

[0097] Conduct an F test to verify the significance of the independent variable.

[0098] F test: Test the significance of the entire regression model. If the p-value of the F test is less than the significance level (such as 0.05), it indicates that at least one predictor variable in the model has a statistically significant effect on the dependent variable. In the above technical solution, the p-values ​​of all independent variables are less than 0.05, indicating that the regression coefficient is significant below 5% and passes the significance test.

[0099] Goodness of fit test: R-squared: measures the ratio of the variation explained by the model to the total variation. The closer the R-squared value is to 1, the stronger the explanatory power of the model. In the above technical solution, R-squared = 0.998031, indicating that the model explains 99.8% of the data variability. In other words, the model can predict 99.8% of the variation of the dependent variable. This is a relatively high R-squared value, indicating that the model has a good fit and can better capture the relationship between the data.

[0100] Step S5: Calculate the probability of optical module damage by using a multiple linear regression equation; Through the above steps, a multiple linear regression equation for calculating the probability of optical module damage that has been tested for significance and fit can be obtained, which is specifically expressed as: Y = -4.977943-0.081264*X1+1.253607*X2-0.656893*X3+0.032301*X4+0.012113*X5 Therefore, the central processing unit substitutes various data of the optical module and can predict the probability of damage of the optical module.

[0101] Example 1: For an optical module with an operating temperature of 33°C, an operating voltage of 3V, a bias current of 10mA, a receiving power of -5dBm, and a transmitting power of -3dBm, the optical loss rate is calculated as follows: Y=-4.977943-0.081264*33+1.253607*3-0.656893*10+0.032301*(-5)+0.012113*(-3)=-10.666dBm, so the optical loss rate is between -15 and -7dBm, and the detection is within the normal range.

[0102] Example 2: For an optical module with an operating temperature of 95°C, an operating voltage of 3.5V, a bias current of 11mA, a receiving power of -13dBm, and a transmitting power of -3dBm, the optical loss rate is calculated as follows: Y=-4.977943-0.081264*95+1.253607*3.5-0.656893*11+0.032301*(-13)+0.012113*(-3)=-15.992d Bm, so the optical loss rate is not between -15 and -7dBm, and the detection is beyond the normal range.

[0103] The central processing unit predicts whether the optical module needs to be replaced based on the calculated light loss rate result, and the corresponding optical module can be marked by the corresponding LED light color.

[0104] Example 4 On the basis of the above, this embodiment further proposes a technical solution configured with n sets of optoelectronic conversion systems. When n sets of optoelectronic conversion systems are configured, n backup optical modules can be shared among the n sets of optoelectronic conversion systems.

[0105] Based on this, the present embodiment also proposes a corresponding photoelectric conversion method. When t optical modules are used (t<2n), the central processing unit detects the working conditions of the t optical modules in real time. If s optical modules (s<(3n+1)) are working abnormally, the central processing unit controls the signal to switch to the backup optical module and the unused 2n-t optical modules. The backup optical module and the 2n-t optical modules perform photoelectric or electro-optical conversion. The abnormal optical module has a corresponding LED light indication. After the normal optical module is replaced, the central processing unit controls the signal to switch back to the original route.

[0106] refer to Figure 4 , which is equipped with 2 optical transmitting and receiving ends, 10 optical modules, 2 electrical transmitting and receiving ends, 2 backup optical modules and 2 central processing units. When t optical modules are used (t<10), the central processing unit detects the working status of t main optical modules in real time. If s optical modules (s<7) work abnormally, the central processing unit controls the signal to switch to the backup optical module and the unused 10-t optical modules. The backup optical module and the 10-t optical modules perform photoelectric or electro-optical conversion. The abnormal optical module has a corresponding LED indicator. After the normal main optical module is replaced, the central processing unit controls the signal to switch back to the original route.

[0107] Example 5 This embodiment also proposes a detection method for determining whether the fault is caused by a damaged optical module or a damaged optical fiber, including the following process: the central processing unit detects the working conditions of the main optical module and the backup optical module in real time, and when the main optical module fails, the central processing unit controls the circuit to switch to the normal optical module, and if the faulty circuit resumes normal operation, the central processing unit determines that the circuit is caused by a damaged optical module; if the faulty circuit is still abnormal, the central processing unit determines that the circuit is caused by a damaged optical fiber. The result can be indicated by the color of the LED light.

[0108] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention is described in detail with reference to the embodiments, it should be understood by those skilled in the art that any modification or equivalent replacement of the technical solutions of the present invention does not depart from the spirit and scope of the technical solutions of the present invention and should be included in the scope of the claims of the present invention.

Claims

1. An adaptive liquid cooling cabinet photoelectric conversion system, characterized in that: include: The optical transmitting and receiving ends are respectively connected to the main optical module and the central processing unit to send and receive optical signals; The electrical transmitting and receiving end is connected to the main optical module and the central processing unit respectively to send and receive electrical signals; The main optical module is connected to the optical transmitting and receiving end and the electrical transmitting and receiving end respectively, realizes signal transmission through photoelectric conversion or electro-optical conversion, and includes several optical modules connected in parallel; The backup optical module is connected to the central processing unit and is controlled by the central processing unit to be enabled or not; The central processing unit detects the working status of the main optical module and the backup optical module in real time and controls the direction of each signal.

2. The adaptive liquid cooling cabinet photoelectric conversion system according to claim 1, characterized in that: The optical transmitting and receiving end includes an optical transmitting end and an optical receiving end. The optical transmitting end transmits the optical signal to the main optical module and the central processing unit respectively after passing through the optical splitter; the optical receiving end receives the optical signal of the main optical module or the central processing unit.

3. The adaptive liquid cooling cabinet photoelectric conversion system according to claim 1 or 2, characterized in that: Each optical module in the main optical module is fixedly connected via a plurality of movable clamps, and the optical modules all support hot plugging.

4. The adaptive liquid cooling cabinet photoelectric conversion system according to claim 1 or 2, characterized in that: The electrical transmitting and receiving end includes an electrical transmitting end and an electrical receiving end. The electrical transmitting end sends electrical signals to the main optical module and the central processing unit respectively, and the electrical receiving end receives electrical signals from the main optical module or the central processing unit.

5. The adaptive liquid cooling cabinet photoelectric conversion system according to claim 1, characterized in that: The backup optical module includes an optical path end and a circuit end, and the optical path end and the circuit end are both divided into two, one of which is connected to the central processing unit, and the other is connected to the backup optical module of another optoelectronic conversion system.

6. An adaptive liquid cooling cabinet photoelectric conversion method, applicable to an adaptive liquid cooling cabinet photoelectric conversion system according to any one of claims 1 to 5, characterized in that: The following steps are involved: When t optical modules (t<5) of the main optical module are all used, the central processing unit detects the working status of the main optical module in real time; if there are s optical modules (s<4 and s<t) working abnormally, the central processing unit controls the signal to switch to the backup optical module, and the backup optical module and the unused 5-t optical modules perform photoelectric or electro-optical conversion, and the abnormal optical module has a corresponding LED light indication; After the normal optical module is replaced, the central processing unit controls the signal to switch back to the original route.

7. The method for photoelectric conversion of an adaptive liquid cooling cabinet according to claim 6, characterized in that: If n sets of optoelectronic conversion systems are configured at the same time, the n sets of optoelectronic conversion systems can share n backup optical modules.

8. The method for photoelectric conversion of an adaptive liquid cooling cabinet according to claim 6, characterized in that: When t optical modules are used (t<2n), the central processing unit detects the working status of the t optical modules in real time. If s optical modules (s<(3n+1)) are working abnormally, the central processing unit controls the signal to switch to the backup optical module and the unused 2n-t optical modules. The backup optical module and the 2n-t optical modules perform photoelectric or electro-optical conversion. The abnormal optical module has a corresponding LED light indication. After the normal optical module is replaced, the central processing unit controls the signal to switch back to the original route.

9. The method for photoelectric conversion of an adaptive liquid cooling cabinet according to claim 6, characterized in that: The central processing unit detects the working status of the main light module in real time, including the following steps: Obtain the optical module parameters, determine the dependent and independent variables of the regression model, construct a multivariate linear regression equation, and perform weight value matching calculations; evaluate the significance and degree of fit of the regression model, calculate the optical loss rate of the optical module through the multivariate linear regression equation, and the central processing unit predicts whether a certain optical module needs to be replaced based on the predicted optical loss rate.

10. The method for photoelectric conversion of an adaptive liquid cooling cabinet according to claim 9, characterized in that: T test and F test were used to evaluate the significance; R square and adjusted R square were used to evaluate the degree of fit.

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