Intelligent communication optical cable cross-connecting box data switching system and method

Abstract

The invention belongs to the technical field of intelligent communication, and discloses an intelligent communication optical cable cross-connecting box data switching system and method. The system comprises an equipment data acquisition module, an environment temperature acquisition module, a data preprocessing module, a final equipment health value generation module, a data switching module and a data switching report output module, and is used for acquiring an equipment data set; a temperature sensor is installed to collect an environment temperature value in a designated area to obtain environment temperature data; preprocessing the equipment data set to obtain a second equipment data set; analyzing the second equipment data set and the environment temperature data to obtain a final equipment health value; analyzing the final equipment health value to obtain a data switching report; analyzing the data switching report, and outputting the data switching report; and collecting and analyzing the number of times of the data switching report to obtain a predicted switching cost value, and integrating the predicted switching cost value into the data switching report.

Description

Technical Field

[0001] The present invention relates to the field of intelligent communication technologies, and more specifically, to an intelligent communication optical cable cross-connect box data switching system and method. Background Art

[0002] An optical cable cross-connect box is a handover device that provides optical cable termination and cross-connection for backbone layer optical cables and distribution layer optical cables. After the optical cable is introduced into the optical cable cross-connect box, it is fixed, terminated, and fiber distributed, and then jumper fibers are used to connect the backbone layer optical cable and the distribution layer optical cable. The optical cable cross-connect box is usually installed in an outdoor environment, and the optical cable itself is vulnerable to environmental influences. With the rapid economic development in China in recent years, as an extremely important information transmission carrier at present, optical cables have been widely used in China. Due to the special material of the optical cable, it has the characteristic of harsh operating environment conditions. And because the optical cable cross-connect box is generally installed in an outdoor environment, the safe use of the optical cable cross-connect box has become the top priority in the application of optical cables. The existing optical cable cross-connect boxes are prone to a sharp increase in loss costs caused by optical cable safety problems because of the high cost of manual monitoring and the difficulty in predicting faults based on the basic parameters of the equipment.

[0003] The patent with the application publication number CN105374175B discloses an optical cable cross-connect box management system and method based on communication transmission monitoring. By monitoring the opening state of the optical cable cross-connect box and sending the optical cable cross-connect box operation information to the remote monitoring end when it is opened abnormally, when the remote monitoring end receives the optical cable cross-connect box operation information, it determines that the optical cable cross-connect box is illegally opened and sends an alarm signal to the management personnel. By setting up a control center to uniformly manage multiple optical cable cross-connect boxes, the problem that the optical cable cross-connect box cannot be monitored due to the lack of power is solved, and it is beneficial for the remote monitoring device to remotely monitor the optical cable cross-connect box, enabling the administrator to quickly learn about the usage status of the optical cable cross-connect box and check it in time when it is illegally opened to ensure the safety of the optical cable cross-connect box.

[0004] However, for the above-mentioned optical cable cross-connect box management system and method based on communication transmission monitoring, although the safety of the optical cable cross-connect box is guaranteed to a certain extent by monitoring the opening state of the optical cable cross-connect box, due to the vulnerable nature of the optical cable in the optical cable cross-connect box, there is a disadvantage of being easily damaged. Therefore, how to effectively predict the self-state of the optical cable based on the basic parameters in the optical cable and the optical cable cross-connect box has become a major problem in the current intelligent communication industry. And because the optical cable itself has communication importance, it is also particularly important to count the loss costs caused by optical cable damage.

[0005] In view of this, the present invention proposes an intelligent communication optical cable cross-connect box data switching system and method to solve the above problems. Summary of the Invention

[0006] To overcome the above-mentioned defects of the prior art and to achieve the above object, the present invention provides the following technical solutions, including: The device data acquisition module is used to acquire a device data set, and the device data set includes device temperature data, operation duration data, and port error code data; The ambient temperature acquisition module is used to install a temperature sensor to acquire the ambient temperature value within a specified area and obtain ambient temperature data; The data preprocessing module is used to preprocess the device data set to obtain a second device data set; Further, the method for preprocessing the device data set includes: Obtain a set of device data sets; By substituting into the calculation formula: Compare, and eliminate the device temperature data La that is less than the minimum device temperature threshold and greater than the maximum device temperature threshold ; The minimum device temperature threshold is obtained through the calculation formula: where Ld is the ambient temperature data, and ΔLe is the minimum temperature difference between the device temperature data and the ambient temperature data; Truncate the values that exceed the device design life range, and the specific calculation formula for truncation is: where Lb is the operation duration data, and Lbmax is the device design life; Correct the outliers with the maximum allowable error rate as the upper limit, and the specific calculation formula for correction is: , where Lc is the port error code data, and Lcmax is the maximum allowable port error rate; Traverse the changed values of La, Lb, and Lc to obtain a second device data set; The final device health value generation module is used to analyze the second device data set and the ambient temperature data to obtain the final device health value; Further, the final device health value generation module further includes a historical data retrieval module, a model support module, and a data output module; The historical data retrieval module is used to retrieve the historical second device data set and the historical ambient temperature data stored in the database; The model support module is used to establish the models required by the system; The data output module is used to support the output of the final device health value; Further, the steps for analyzing the second device data set and the ambient temperature data include: Step 1: Based on the historical data retrieval module, obtain a corresponding set of historical second device datasets and historical ambient temperature data from the database, and mark them in chronological order from far to near as L1, L2, L3, …, Ln; Step 2: Based on the model support module, establish a data prediction model according to the marked historical second device datasets in Step 1; Step 3: By substituting into the calculation formula: Obtain the initial device health value, where Ld is the ambient temperature data, and B1, B2, B3, and B4 are the corresponding weight factors respectively, and satisfy ; Step 4: With the goal of minimizing the difference between the device health value and the true failure probability, define the loss function. The specific calculation formula for defining the loss function is: , where Ba is the loss function, Caj is the j-th initial device health value, Pj is the j-th basic parameter, and λ is the regularization coefficient; Step 5: According to the weight factor of the ambient temperature data in Step 3, perform seasonal data correction. The specific correction calculation formula is: Obtain the correction factor, where B4a is the annual average ambient temperature, B4max is the highest ambient temperature, and B4min is the lowest ambient temperature; Step 6: According to the correction factor in Step 5, the weight factor of the corrected ambient temperature data is ; Step 7: Perform optimization iteration update according to the weight factor in Step 3. The specific calculation formula for optimization iteration update is: , after reaching the maximum number of iterations, the optimization iteration update terminates, where k is the iteration round, η is the learning factor, and θ is the set containing the weight factors B1, B2, B3, and B4; Step 8: After reaching the preset number of iterations, obtain the device prediction model; Step 9: Input the second device dataset and the ambient temperature data into the device prediction model, output the final device health value, and based on the data output module, output the final device health value; The data switching module is used to analyze the final device health value to obtain a data switching report; Furthermore, the methods for analyzing the final device health value include: Obtain the final device health value; By comparing with the health threshold Ca1, when the final device health value is less than or equal to the health threshold Ca1, generate a data switching signal; The data switching signal includes indicating that the device status is poor, requiring standby data optical path switching and the need for maintenance personnel to enter the site for detection; Identify the data switching signal and switch the faulty data optical path to the standby data optical path; Package the data switching signal and the switching optical path timestamp to obtain a data switching report; The data switching report output module is used to analyze the data switching report and output it; Further, the ways of analyzing and outputting the data switching report include: Output a fixed template according to the required sending role; Select a fixed sending method for the data switching report according to the required sending role; Send the data switching report to the receiving end of the required sending role through email, text message or APP push; Further, S1: Collect the device data set, and the device data set includes device temperature data, running duration data and port error code data; S2: Install a temperature sensor to collect the ambient temperature value in the specified area to obtain ambient temperature data; S3: Preprocess the device data set to obtain a second device data set; S4: Analyze the second device data set and the ambient temperature data to obtain the final device health value; S5: Analyze the final device health value to obtain a data switching report; S6: Analyze the data switching report and output it; S7: Collect and analyze the number of data switching reports to obtain a predicted switching cost value, and integrate the predicted switching cost value into the data switching report.

[0007] Technical effects and advantages of the data switching system and method for the intelligent communication optical cable distribution box of the present invention: By analyzing the second device data set and the ambient temperature data, the present invention obtains the final device health value, which can effectively predict the future state of the optical cable distribution box, so as to be able to switch the standby optical cable in advance, greatly avoiding the huge loss cost caused by sudden failures. Through the established data switching module, according to the predicted final device health value, it can be realized in advance whether to switch the standby optical cable, greatly reducing the suddenness of optical cable failures. Through the established data switching report output module, the corresponding data information can be sent to the receiving ends of different permission roles, greatly improving the data security of the optical cable distribution box. And through the calculated predicted switching cost value, it can assist users to quickly know the cost caused by optical cable damage, thus greatly improving the timeliness of users' awareness of cost information. Generally speaking, the present invention has the remarkable advantages of strong fault prediction ability, good information security guarantee effect and high timeliness of knowing device-related cost information. Description of the Drawings

[0008] Figure 1 Schematic diagram of the data switching system of the intelligent communication optical cable distribution box of the present invention; Figure 2 Schematic diagram of the data switching method of the intelligent communication optical cable distribution box of the present invention. Specific embodiments

[0009] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0010] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "the" and "said" used in the embodiments of the present invention and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. "Plural" generally includes at least two.

[0011] Depending on the context, the words "if", "when" as used herein can be interpreted as "when" or "when...", or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detected (stated condition or event)" or "in response to detecting (stated condition or event)".

[0012] In addition, the step timings in the following method embodiments are only for example, and are not strictly limited.

[0013] In fact, the server devices deployed by the intelligent communication optical cable cross-connect box data switching system may consist of one or more devices. The above intelligent communication optical cable cross-connect box data switching system can be implemented as: service instances, virtual machines, and hardware devices. For example, the intelligent communication optical cable cross-connect box data switching system can be implemented as a service instance deployed on one or more devices in a cloud node. Simply put, the intelligent communication optical cable cross-connect box data switching system can be understood as a software deployed on a cloud node, used to provide the intelligent communication optical cable cross-connect box data switching system for each client. Alternatively, the intelligent communication optical cable cross-connect box data switching system can also be implemented as a virtual machine deployed on one or more devices in a cloud node. An application software for managing each client is installed in the virtual machine. Alternatively, the intelligent communication optical cable cross-connect box data switching system can also be implemented as a server composed of many identical or different types of hardware devices, and one or more hardware devices are set to provide the intelligent communication optical cable cross-connect box data switching system for each client.

[0014] In terms of implementation form, the intelligent communication optical cable cross-connect box data switching system and the client adapt to each other. That is, if the intelligent communication optical cable cross-connect box data switching system is an application installed on a cloud service platform, then the client is a client that establishes a communication connection with this application; or if the intelligent communication optical cable cross-connect box data switching system is implemented as a website, then the client is implemented as a web page; or if the intelligent communication optical cable cross-connect box data switching system is implemented as a cloud service platform, then the client is implemented as a small program in an instant messaging application.

[0015] As Figure 1 shown, it is the system architecture diagram of the intelligent communication optical cable cross-connect box data switching system provided by an embodiment of the present invention.

[0016] The intelligent communication optical cable cross-connect box data switching system described in the present invention can be set in a cloud server. In terms of implementation form, it can be used as one or more service devices, or can be installed as an application on the cloud (such as the server of a mobile service operator, a server cluster, etc.), or can also be developed into a website. According to the implemented functions, the intelligent communication optical cable cross-connect box data switching system includes a device data acquisition module, an environmental temperature acquisition module, a data preprocessing module, a final device health value generation module, a data switching module, and a data switching report output module. The modules described in the present invention can also be called units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, and are stored in the memory of the electronic device.

[0017] In the embodiments of the present invention, in the intelligent communication optical cable cross-connect box data switching system, each of the above modules can be independently implemented and called by other modules. Here, the call can be understood as that a certain module can be connected to multiple modules of another type and provide corresponding services for the multiple modules it is connected to. For example, the sharing and evaluation module can call the same information collection module to obtain the information collected by the information collection module. Based on the above characteristics, in the intelligent communication optical cable cross-connect box data switching system provided by the embodiments of the present invention, without modifying the program code, the applicable range of the intelligent communication optical cable cross-connect box data switching system architecture can be adjusted by adding modules and directly calling, so as to achieve cluster-level horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the intelligent communication optical cable cross-connect box data switching system. In actual applications, the above modules can be set in the same device or different devices, or can be set in virtual devices, such as service instances in a cloud server.

[0018] Embodiment 1 Please refer to Figure 1 As shown, in the intelligent communication optical cable cross-connect box data switching system of this embodiment, the system includes: The device data acquisition module is used to acquire a device data set, and the device data set includes device temperature data, running duration data, and port error code data; It should be explained that by installing a digital temperature sensor, the temperature value of a specified device is acquired to obtain the device temperature data; by the Network Time Protocol, the startup timestamp of a specified device is recorded and the difference from the current time is calculated to obtain the running duration data; by installing an error rate tester, the error rate of a specified device is acquired to obtain the port error code data; The ambient temperature acquisition module is used to acquire the ambient temperature value in a specified area by installing a temperature sensor to obtain the ambient temperature data; The data preprocessing module is used to preprocess the device data set to obtain a second device data set; Furthermore, the method for preprocessing the device data set includes: Obtain a set of device data sets; By substituting into the calculation formula: Compare, and eliminate the device temperature data La that is less than the minimum device temperature threshold and greater than the maximum device temperature threshold ; The minimum device temperature threshold is obtained by the calculation formula: where Ld is the ambient temperature data and ΔLe is the minimum temperature difference between the device temperature data and the ambient temperature data; Truncate the values outside the device design life range, and the specific calculation formula for truncation is: Among them, Lb is the running duration data, and Lbmax is the device design life; The outliers are corrected with the maximum allowable bit error rate as the upper limit, and the specific calculation formula for the correction is: , where Lc is the port bit error data and Lcmax is the maximum allowable port bit error rate; Traverse the values of La, Lb, and Lc after the change to obtain the second device data set; The final device health value generation module is used to analyze the second device data set and the environmental temperature data to obtain the final device health value; Furthermore, the final device health value generation module further includes a historical data retrieval module, a model support module, and a data output module; The historical data retrieval module is used to retrieve the historical second device data set and historical environmental temperature data stored in the database; The model support module is used to establish the models required by the system; The data output module is used to support the output of the final device health value; Furthermore, the steps for analyzing the second device data set and the environmental temperature data include: Step 1: Based on the historical data retrieval module, obtain a set of corresponding historical second device data sets and historical environmental temperature data from the database, and mark them based on the time stamps from far to near, respectively marked as L1, L2, L3,..., Ln; Step 2: Based on the model support module, establish a data prediction model according to the marked historical second device data set in Step 1; Step 3: By substituting into the calculation formula: Obtain the initial device health value, where Ld is the environmental temperature data, and B1, B2, B3, and B4 are the corresponding weight factors, and satisfy ; Step 4: With the goal of minimizing the difference between the device health value and the true failure probability, define the loss function. The specific calculation formula for defining the loss function is: , where Ba is the loss function, Caj is the jth initial device health value, Pj is the jth basic parameter, and λ is the regularization coefficient; Step 5: According to the weight factor of the environmental temperature data in Step 3, perform seasonal data correction. The specific correction calculation formula is: Obtain the correction factor, where B4a is the annual average environmental temperature, B4max is the highest environmental temperature, and B4min is the lowest environmental temperature; Step 6: Based on the correction factor in Step 5, the weight factor of the corrected environmental temperature data is ; Step 7: Optimize and iteratively update according to the weight factors in Step 3. The specific calculation formula for the optimization and iterative update is as follows: , after reaching the maximum number of iterations, the optimization and iterative update terminates, where k is the iteration round, η is the learning factor, and θ is a set containing weight factors B1, B2, B3, and B4; It should be noted that the learning factor refers to the learning rate, which is used to control the parameter update step size; Step 8: After reaching the preset number of iterations, obtain the device prediction model; Step 9: Input the second device dataset and environmental temperature data into the device prediction model, output the final device health value, and output the final device health value based on the data output module; The data switching module is used to analyze the final device health value to obtain a data switching report; Furthermore, the method for analyzing the final device health value includes: Obtain the final device health value; By comparing with the health threshold Ca1, when the final device health value is less than or equal to the health threshold Ca1, generate a data switching signal; The data switching signal includes indicating that the device status is poor, requiring switching to the backup data optical path and the need for maintenance personnel to enter the site for detection; Identify the data switching signal and switch the faulty data optical path to the backup data optical path; Package the data switching signal and the switching optical path timestamp to obtain a data switching report; The data switching report output module is used to analyze the data switching report and output it; Furthermore, the method for analyzing and outputting the data switching report includes: Output a fixed template according to the required sending role; It should be noted that the templates include those for the super administrator, regional operation and maintenance personnel, and auditors. For example, the template for the super administrator includes the daily basic parameters, logs, and data switching reports of the faulty junction box; According to the required sending role, select a fixed sending method for the data switching report as preset; It should be noted that the fixed sending methods include but are not limited to mobile phone text messages, software push, and emails; Send the data switching report to the receiving end of the required sending role through email, text message, or APP push; The data switching report output module is also used to collect and analyze the number of data switching reports to obtain a predicted switching cost value, and integrate the predicted switching cost value into the data switching report; Furthermore, the method for collecting and analyzing the number of data switching reports includes: Collect the number of data switching reports based on the budget time unit; By substituting into the calculation formula: Da = Db × Dc + Dd × De, the predicted switching cost value is obtained, where Db is the single switching cost, Dc is the number of switching reports, Dd is the single failure loss cost, and De is the failure probability; It should be noted that the single switching cost includes the labor cost, equipment loss cost, and material cost required for maintenance. The single failure loss cost is the business interruption loss cost, customer compensation cost, and revenue loss cost. The failure probability is negatively correlated with the final equipment health value; In this embodiment, the beneficial effect is that by analyzing the second device dataset and the environmental temperature data, the obtained final device health value can effectively predict the future state of the optical cable distribution box, so as to be able to switch to the standby optical cable in advance, greatly avoiding the huge loss cost caused by sudden failures. Through the established data switching module, according to the predicted final device health value, it can be realized in advance whether to switch to the standby optical cable, greatly reducing the suddenness of optical cable failures. Through the established data switching report output module, the corresponding data information can be sent to the receiving ends of different permission roles, greatly improving the data security of the optical cable distribution box. And through the calculated predicted switching cost value, it can assist users to quickly know the cost caused by optical cable damage, thus greatly improving the timeliness of users' awareness of cost information. Generally speaking, the present invention has the remarkable advantages of strong fault prediction ability, good information security guarantee effect, and high timeliness of knowing equipment-related cost information.

[0019] Embodiment 2 Please refer to Figure 2 As shown, for the parts not described in detail in this embodiment, refer to the description content of Embodiment 1. Provide a data switching method for an intelligent communication optical cable distribution box, including: S1: Collect the device dataset, and the device dataset includes device temperature data, operation duration data, and port error code data; S2: Install a temperature sensor to collect the environmental temperature value in the specified area to obtain the environmental temperature data; S3: Preprocess the device dataset to obtain the second device dataset; S4: Analyze the second device dataset and the environmental temperature data to obtain the final device health value; S5: Analyze the final device health value to obtain a data switching report; S6: Analyze the data switching report and output it; S7: Collect and analyze the number of data switching reports to obtain the predicted switching cost value, and integrate the predicted switching cost value into the data switching report.

[0020] Embodiment 3 For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention.

[0021] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be encompassed within the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

[0022] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to obtain the best results.

[0023] In addition, it is obvious that the word "including" does not exclude other units or steps, and the singular does not exclude the plural. The multiple units or devices stated in the system claims can also be implemented by one unit or device through software or hardware. Words such as first, second, etc. are used to denote names and do not denote any particular order.

[0024] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. Intelligent communication optical cable cross-connect box data switching system, characterized in that, The system includes: a device data acquisition module, an environmental temperature acquisition module, a data preprocessing module, a final device health value generation module, a data switching module, and a data switching report output module, where: The device data acquisition module is used to acquire a device data set, and the device data set includes device temperature data, running duration data, and port error code data; The environmental temperature acquisition module is used to install a temperature sensor to acquire the environmental temperature value within a specified area to obtain environmental temperature data; The data preprocessing module is used to preprocess the device data set to obtain a second device data set; The final device health value generation module is used to analyze the second device data set and the environmental temperature data to obtain the final device health value; The data switching module is used to analyze the final device health value to obtain a data switching report; The data switching report output module is used to analyze and output the data switching report; The data switching report output module is also used to collect and analyze the number of data switching reports to obtain a predicted switching cost value, and integrate the predicted switching cost value into the data switching report.

2. The intelligent communication optical cable cross-connect box data switching system according to claim 1, wherein The methods for preprocessing the device data set include: Obtain a set of device data sets; By substituting into the calculation formula: perform comparison, and eliminate the device temperature data La that is less than the minimum device temperature threshold and greater than the maximum device temperature threshold ; Minimum device temperature threshold Obtained through the calculation formula: where Ld is the ambient temperature data, and ΔLe is the minimum temperature difference between the device temperature data and the ambient temperature data; Truncate values outside the device design life range, and the specific calculation formula for truncation is as follows: where Lb is the operating duration data and Lbmax is the device design life; The outliers are corrected with the maximum allowable bit error rate as the upper limit, and the specific calculation formula for the correction is as follows: , where Lc is the port bit error data and Lcmax is the maximum allowable port bit error rate; Traverse the changed values of La, Lb, and Lc to obtain a second device data set.

3. The intelligent communication optical cable cross-connect box data switching system according to claim 1, characterized in that, The final device health value generation module further includes a historical data retrieval module, a model support module, and a data output module, where: The historical data retrieval module is used to retrieve the historical second device data set and historical environmental temperature data stored in the database; The model support module is used to establish the models required by the system; The data output module is used to support the output of the final device health value.

4. The intelligent communication optical cable cross-connect box data switching system according to claim 3, wherein The steps for analyzing the second device data set and the environmental temperature data include: Step 1: Based on the historical data retrieval module, obtain a corresponding set of historical second device data set and historical environmental temperature data from the database, and mark them in chronological order from far to near as L1, L2, L3,..., Ln; Step 2: Based on the model support module, establish a data prediction model according to the marked historical second device data set in Step 1; Step 3: By substituting into the calculation formula: Obtain the initial device health value, where Ld is the environmental temperature data, and B1, B2, B3, and B4 are the corresponding weight factors respectively, and satisfy ; Step 4: Define the loss function with the goal of minimizing the difference between the device health value and the true failure probability. The specific calculation formula for defining the loss function is as follows: , where Ba is the loss function, Caj is the j-th initial device health value, Pj is the j-th basic parameter, and λ is the regularization coefficient; Step Five: According to the weight factor of the ambient temperature data in Step Three, perform seasonal data correction. The specific correction calculation formula is as follows: Obtain the correction factor, where B4a is the annual average ambient temperature, B4max is the highest ambient temperature, and B4min is the lowest ambient temperature; Step 6: According to the correction factor in Step 5, the weight factor of the corrected ambient temperature data is ; Step 7: Perform optimization iterative update based on the weight factors in Step 3. The specific calculation formula for the optimization iterative update is as follows: , after reaching the maximum number of iterations, the optimization iterative update terminates, where k is the iteration round, η is the learning factor, and θ is a set containing weight factors B1, B2, B3, and B4; Step 8: After reaching the preset number of iterations, obtain a device prediction model; Step 9: Input the second device data set and the environmental temperature data into the device prediction model, output the final device health value, and based on the data output module, output the final device health value.

5. The intelligent communication optical cable cross-connect box data switching system according to claim 1, characterized in that The methods for analyzing the final device health value include: Obtain the final device health value; By comparing with the health threshold Ca1, when the final device health value is less than or equal to the health threshold Ca1, generate a data switching signal; The data switching signal includes indicating that the device status is poor, requiring switching of the standby data optical path and the entry of maintenance personnel for detection; Identify the data switching signal and switch the faulty data optical path to the standby data optical path; Package the data switching signal and the switching optical path timestamp to obtain a data switching report.

6. The intelligent communication optical cable cross-connect box data switching system according to claim 1, wherein The methods for analyzing and outputting the data switching report include: Output a fixed template according to the required sending role; Switch the data switching report according to the required sending role and select a fixed sending method according to the preset; Send the data switching report to the receiving end of the required sending role through email, SMS or APP push.

7. The intelligent communication optical cable cross-connect box data switching system according to claim 1, characterized in that: The methods for collecting and analyzing the number of data switching reports include: Collect the number of data switching reports based on the budget time unit; Obtain the predicted switching cost value by substituting into the calculation formula: Da = Db × Dc + Dd × De, where Db is the single switching cost, Dc is the number of switching reports, Dd is the single failure loss cost, and De is the failure probability.

8. A method for data switching of an intelligent communication optical cable distribution box, implemented according to the intelligent communication optical cable distribution box data switching system described in any one of claims 1-7, characterized in that, Include the following steps: S1: Collect the device data set, which includes device temperature data, running duration data, and port error code data; S2: Install a temperature sensor to collect the ambient temperature value in the specified area to obtain the ambient temperature data; S3: Preprocess the device data set to obtain the second device data set; S4: Analyze the second device data set and the ambient temperature data to obtain the final device health value; S5: Analyze the final device health value to obtain the data switching report; S6: Analyze the data switching report and output it; S7: Collect and analyze the number of data switching reports to obtain the predicted switching cost value, and integrate the predicted switching cost value into the data switching report.

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