Linear resource whole-process monitoring management method and system

Abstract

The invention discloses a linear resource whole-process monitoring management method and system, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining a monitored optical cable, determining the monitoring purpose and method, and determining the monitoring time interval, the monitoring frequency and the monitoring personnel; an acquisition device and a sensor are used for acquiring electronic tag data of an optical cable, the collected data related to linear resources are preprocessed, the preprocessed electronic tag data of the optical cable are transmitted to a cloud platform, real-time online monitoring is carried out, all the acquired electronic tag data of the optical cable are integrated for data analysis, and the data analysis result is obtained. According to the method, the optical cable is subjected to full-life-cycle management, transmitted signal data are reasonably distributed to the optical cable, so that the optical cable can transmit the signal data at the optimal efficiency, corresponding improvement schemes and measures are formulated according to a data analysis result, monitoring work of linear resources is evaluated and summarized regularly, and a monitoring management method is continuously improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular to a method and system for monitoring and managing the entire process of linear resources. Background Art

[0002] With the development of communication technology, especially the popularization of 5G technology, there are more and more optical cables in the computer room, and the data generated is also increasing day by day. The data generated by the optical cables is also collected manually and manually entered into the cloud platform. How to collect and manage the large amount of data generated by the optical cables has become a problem that needs to be solved urgently.

[0003] For example, a Chinese patent with authorization announcement number CN110597631B discloses a resource management method, a monitoring server, a proxy server, and a storage medium. The resource management method includes: obtaining server information of multiple proxy servers associated with the monitoring server; wherein the server information at least includes resource usage; monitoring resource usage of multiple proxy servers based on the server information; when the target resource usage of the first proxy server among the multiple proxy servers meets the preset requirements, at least the target process occupying the target resource is transferred to the second proxy server among the multiple proxy servers for operation. Through the above method, the automation of server resource management is realized, which reduces the manual operation and maintenance costs on the one hand, speeds up the fault response on the other hand, and ensures the normal operation of the server.

[0004] For example, a Chinese patent with authorization announcement number CN117573376B discloses a data center resource scheduling, monitoring and management method and system, which belongs to the field of data processing technology, and specifically includes: determining the access needs of different edge servers through the operation logs of different edge servers in the data center, and performing demand evaluation on different access needs and determining the screening access needs according to the access data volume of different access needs and the access user data; when the number of idle dates within a preset time for the screened access needs meets the requirements, it is used as the evaluated access needs; the demand fluctuation amount of the evaluated access needs is determined by the change of the idle evaluation amount between different adjacent dates and the distribution data of the idle dates; and the resources of the edge servers of the data center are allocated by evaluating the demand evaluation amount of the access needs, the idle evaluation amount of different dates, the number of idle dates, and the demand fluctuation amount, thereby improving the processing efficiency of the access needs.

[0005] The defect of the above patent is that the efficiency of monitoring and managing the data generated by the optical cable is low. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention proposes a method and system for monitoring and managing linear resources throughout the entire process, determines the optical cables to be monitored, clarifies the purpose and method of monitoring, including determining the monitoring time interval, monitoring frequency, and monitoring personnel, uses acquisition equipment and sensors to collect electronic tag data of optical cables, pre-processes the collected data related to linear resources, transmits the pre-processed electronic tag data of the optical cables to a cloud platform, and performs real-time online monitoring, comprehensively analyzes the electronic tag data of all collected optical cables, and manages the optical cables throughout their life cycle, reasonably allocates the transmitted signal data to the optical cables, so that the optical cables can transmit signal data at the best efficiency, formulates corresponding improvement plans and measures based on the results of data analysis, regularly evaluates and summarizes the monitoring work of linear resources, checks the effects and achievements of monitoring, promptly discovers and solves problems, and continuously improves the monitoring and management methods.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] The whole process monitoring and management method of linear resources includes the following specific steps:

[0009] Step S1: determine the monitored optical cable, clarify the purpose and method of monitoring, including determining the monitoring time interval, monitoring frequency, and monitoring personnel;

[0010] Step S2: Collecting electronic tag data of the optical cable using a collection device and a sensor;

[0011] Step S3: preprocessing the collected linear resource related data;

[0012] Step S4: transmitting the pre-processed electronic tag data of the optical cable to the cloud platform, and performing real-time online monitoring, constructing a tree-like optical cable structure, converting the mesh optical cable structure into a tree-like structure, analyzing the real-time transmitted optical cable linear resource data, and reasonably allocating the transmitted signal data to the optical cable, so that the optical cable transmits the signal data at the best efficiency;

[0013] Step S5: Based on the results of data analysis, formulate corresponding improvement plans and measures, regularly evaluate and summarize the monitoring work of linear resources, check the effects and results of monitoring, discover and solve problems in a timely manner, and continuously improve monitoring management methods.

[0014] Specifically, the electronic label data of the optical cable in step S2 includes the connector mark, longitude and latitude, and internal index data.

[0015] The joint marking includes the node location of the optical cable, including underground, on the pole, etc.

[0016] Internal index data include optical characteristic index data (transmission loss, delay, bandwidth and refractive index, etc.), mechanical characteristic index data (flexibility, tensile strength, wear resistance and corrosion resistance, etc.), electronic characteristic index data (anti-interference ability, shielding performance and cross-coupling, etc.),

[0017] The electronic label data of the optical cable also includes: the electronic label data of the subordinate nodes.

[0018] Specifically, the preprocessing in step S3 includes data cleaning, removing duplicate data and redundant data, and completing missing data.

[0019] Specifically, the specific steps of step S4 are:

[0020] Step S401: transmitting the pre-processed electronic tag data of the optical cable to the cloud platform via a wireless network, and optimizing and selecting the transmission delay and communication channel of the wireless network;

[0021] Step S402: Establish a database on the cloud platform to store all collected electronic tag data of the optical cables and monitor the changes and status of the data in real time;

[0022] Step S403: Analyze all collected electronic tag data of optical cables, calculate the recommended rate of optical cables based on signal requirements and optical cable node requirements, and evenly distribute the signals in the optical cables for transmission;

[0023] Step S404: Perform full life cycle management of the optical cable, including storage management, inventory management, scheduling management, and maintenance management of the optical cable, to ensure that the use and maintenance of the optical cable complies with best practices.

[0024] Specifically, the specific steps of step S401 are:

[0025] Step S4011: Set the time for the optical cable to send the electronic tag data to the cloud platform as t fs , the local time of the cloud platform is t ypt , to compensate for the delay of sending electronic tag data from the optical cable to the cloud platform. The calculation formula is:

[0026] t bc =(t ypt -t gdr )+(t fs -t bz ),

[0027] Among them, t bc Indicates the delay compensation for sending electronic tag data from the optical cable to the cloud platform, t gdr represents the local time of the optical cable, t bzIndicates the standard time for the optical cable to send electronic tag data to the cloud platform;

[0028] Step S4012: Calculate the priority of the ith communication channel between the optical cable and the cloud platform wireless communication, and the calculation formula is:

[0029]

[0030] Among them, Yx i represents the priority of the i-th communication channel between the optical cable and the cloud platform wireless communication, E represents the annealing algorithm, B represents the Boltzmann constant, log() represents the logarithmic function, w represents the signal data volume weight of the optical cable and the cloud platform communication, Tx represents the signal data volume of the optical cable and the cloud platform communication, λ represents the communication network impedance penalty coefficient, and v i represents the communication rate of the ith communication channel between the optical cable and the cloud platform wireless communication, Z kzi represents the communication impedance of the ith communication channel between the optical cable and the cloud platform wireless communication, η represents the load factor, and Fz i represents the load of the ith communication channel between the optical cable and the cloud platform wireless communication, max() represents the maximum value function, and Fz I Represents the set of communication channels between the optical cable and the cloud platform wireless communication;

[0031] Step S4013: Select the communication channel with the highest priority as the transmission channel for wireless communication between the optical cable and the cloud platform, that is, max(Yx i ).

[0032] Specifically, the specific steps of step S403 are:

[0033] Step S4031: Set the electronic tag data set of all collected optical cables to B, where B = ((Jt1, Jw1, Zb1, Xs1), (Jt2, Jw2, Zb2, Xs2), ..., (Jt n ,Jw n ,Zb n ,Xs n )), where Jt n Indicates the nth connector data in the electronic label data set of the optical cable, Jw n Indicates the nth longitude and latitude data in the electronic tag data set of the optical cable, Zb n Indicates the nth internal index data in the electronic label data set of the optical cable, Xs n Represents the electronic label data of the nth subordinate node in the electronic label data set of the optical cable;

[0034] Step S4032: construct a tree-like optical cable structure, and set the tree-like optical cable structure to T, where T = (Jd, E), Jd represents a set of nodes in the tree-like optical cable structure, and E represents a set of edges in the tree-like optical cable structure;

[0035] Step S4033: Calculate the optical cable recommendation rate of the i-th node, and the calculation formula is:

[0036]

[0037] Among them, Xl i represents the optical cable recommendation rate of the ith node, Xl cs represents the initial recommendation rate of the optical cable of the i-th node, δ represents the transmission efficiency of the optical fiber channel of the optical cable of the i-th node, Sj i represents the amount of signal data transmitted by the optical cable of the i-th node, Sj i represents the data carrying capacity of the optical cable transmission of the i-th node, ω1 represents the influence coefficient of the optical cable transmission signal data, Zs represents the noise in the optical cable transmission of the i-th node, ω2 represents the noise influence coefficient in the optical cable transmission, T bh represents the temperature influence in the optical cable transmission of the i-th node, ω3 represents the temperature influence coefficient in the optical cable transmission, Sz represents the transmission delay of the optical cable of the i-th node, and ω4 represents the delay influence coefficient in the optical cable transmission;

[0038] Step S4034: according to the optical cable recommendation rate of the i-th node, the signal data is evenly distributed in the optical cable for transmission.

[0039] The tree-like optical cable structure consists of n optical cable structures, and each optical cable connector is regarded as a tree node;

[0040] The whole process monitoring and management system of linear resources includes: demand determination module, data acquisition module, data preprocessing module, linear resource management module and improvement and summary module;

[0041] The demand determination module is used to determine the optical cables to be monitored, and to clarify the purpose and method of monitoring, including determining the monitoring time interval, monitoring frequency, and monitoring personnel;

[0042] The data acquisition module is used to collect the electronic tag data of the optical cable using acquisition equipment and sensors;

[0043] The data preprocessing module is used to preprocess the collected linear resource related data;

[0044] The linear resource management module is used to transmit the pre-processed electronic tag data of the optical cable to the cloud platform, and conduct real-time online monitoring, comprehensively analyze all the collected electronic tag data of the optical cable, and manage the optical cable throughout its life cycle, and reasonably distribute the transmitted signal data to the optical cable, so that the optical cable can transmit the signal data at the best efficiency;

[0045] The improvement and summary module is used to formulate corresponding improvement plans and measures based on the results of data analysis, regularly evaluate and summarize the monitoring work of linear resources, check the effects and results of monitoring, promptly discover and solve problems, and continuously improve monitoring management methods.

[0046] Specifically, the linear resource management module includes a data transmission unit and an optical cable transmission selection unit;

[0047] The data transmission unit is used to select a communication channel for sending the optical cable electronic tag data to the cloud platform wireless communication network;

[0048] The optical cable transmission selection unit is used to analyze all collected electronic tag data of optical cables, calculate the recommendation rate of optical cables based on signal requirements and optical cable node requirements, and evenly distribute the signals in the optical cables for transmission.

[0049] An electronic device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of a method for monitoring and managing the entire process of linear resources when executing the computer program.

[0050] A computer-readable storage medium stores computer instructions, which, when executed, execute the steps of a method for monitoring and managing the entire process of linear resources.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] 1. The present invention proposes a full-process monitoring and management method for linear resources. By calculating the priority of the communication channel between the optical cable and the wireless communication of the cloud platform, the communication efficiency between the optical cable and the cloud platform is improved, and a guarantee is provided for subsequent data analysis.

[0053] 2. The present invention proposes a method for monitoring and managing the entire process of linear resources, constructs a tree-like optical cable structure, converts a complex mesh optical cable structure into a tree-like structure, analyzes the optical cable linear resource data transmitted in real time, calculates the recommendation rate of each node in the tree-like optical cable structure, and evenly distributes the signal data in the optical cable for transmission based on the optical cable recommendation rate of the node.

[0054] 3. The present invention proposes a method for monitoring and managing the entire process of linear resources, and provides a solution for managing optical cable linear resources. This is of great significance to enterprises in managing optical cable linear resources, and promotes the related enterprises to shift from manual to information-based management, thus saving a large amount of human resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a flow chart of the whole process monitoring and management method of linear resources of the present invention;

[0056] Figure 2 This is a conversion diagram of the optical cable structure of the present invention;

[0057] Figure 3 This is the architecture diagram of the linear resource full-process monitoring and management system of the present invention;

[0058] Figure 4 This is an electronic equipment diagram of the linear resource full-process monitoring and management method of the present invention. DETAILED DESCRIPTION

[0059] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, in the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate the orientation or position relationship based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "No. 1", "No. 2" and "No. 3" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. The present invention is further explained below in conjunction with specific embodiments.

[0060] Example 1

[0061] See also Figure 1-2 The present invention provides an embodiment: a linear resource full-process monitoring and management method, comprising the following specific steps:

[0062] Step S1: determine the monitored optical cable, clarify the purpose and method of monitoring, including determining the monitoring time interval, monitoring frequency, and monitoring personnel;

[0063] The monitored optical cable is physically bound to the monitoring personnel and given a unique ID;

[0064] Lay the pipeline and place the optical cable in the laid pipeline; attach RFID electronic tags at the nodes of the pipeline and the optical cable;

[0065] Step S2: Collecting electronic tag data of the optical cable using a collection device and a sensor;

[0066] Step S3: preprocessing the collected linear resource related data;

[0067] Step S4: transmitting the pre-processed electronic tag data of the optical cable to the cloud platform, and performing real-time online monitoring, constructing a tree-like optical cable structure, converting the mesh optical cable structure into a tree-like structure, analyzing the real-time transmitted optical cable linear resource data, and reasonably allocating the transmitted signal data to the optical cable, so that the optical cable transmits the signal data at the best efficiency;

[0068] Step S5: Based on the results of data analysis, formulate corresponding improvement plans and measures, regularly evaluate and summarize the monitoring work of linear resources, check the effects and results of monitoring, discover and solve problems in a timely manner, and continuously improve monitoring management methods.

[0069] When the pipe or optical cable reaches the end of its service life, the pipe or optical cable is recycled and a new pipe or optical cable is installed.

[0070] The electronic label data of the optical cable in step S2 includes the connector mark, longitude and latitude, and internal index data.

[0071] The joint marking includes the node location of the optical cable (underground, on the pole, etc.),

[0072] Internal index data include optical characteristic index data (transmission loss, delay, bandwidth and refractive index), mechanical characteristic index data (flexibility, tensile strength, wear resistance and corrosion resistance), electronic characteristic index data (anti-interference ability, shielding performance and cross-coupling),

[0073] The electronic label data of the optical cable also includes: the electronic label data of the subordinate nodes.

[0074] The preprocessing in step S3 includes data cleaning, removing duplicate and redundant data, and completing missing data.

[0075] The specific steps of step S4 are:

[0076] Step S401: Transmit the pre-processed electronic tag data of the optical cable to the cloud platform via the wireless network, construct a tree-like optical cable structure, transform the mesh optical cable structure into a tree-like structure, and optimize and select the delay and communication channel of the wireless network transmission;

[0077] Step S402: Establish a database on the cloud platform to store all collected electronic tag data of the optical cables and monitor the changes and status of the data in real time;

[0078] Step S403: Analyze all collected electronic tag data of optical cables, calculate the recommended rate of optical cables based on signal requirements and optical cable node requirements, and evenly distribute the signals in the optical cables for transmission;

[0079] Step S404: Perform full life cycle management of the optical cable, including storage management, inventory management, scheduling management, and maintenance management of the optical cable, to ensure that the use and maintenance of the optical cable complies with best practices.

[0080] refer to Figure 2 In step S401, a tree-like optical cable structure is constructed to convert the mesh optical cable structure into a tree-like structure, including: 1) analyzing the topology of the mesh structure, analyzing the connection mode of each node in the mesh structure, and identifying which nodes are core nodes, which are branch nodes, and which are terminal nodes; 2) determining the root node of the tree, selecting a center or main node as the root node, which is usually the node with the strongest transmission capacity or the signal source node in the network; 3) designing a hierarchical relationship, and determining how to allocate nodes in each layer according to the number of nodes in the network. Usually, each layer of the tree has fewer nodes connected to the previous layer; 4) optimizing the connection of branch nodes, and reorganizing multiple nodes that are interconnected in the original mesh structure into a tree structure through reasonable branches and hierarchical relationships; 5) eliminating redundant paths. The redundant paths in the mesh structure need to be simplified or removed because the tree structure has no cyclic paths and each node can only have one parent node.

[0081] The specific steps of step S401 are:

[0082] Step S4011: Set the time for the optical cable to send the electronic tag data to the cloud platform as t fs , the local time of the cloud platform is t ypt , to compensate for the delay of sending electronic tag data from the optical cable to the cloud platform. The calculation formula is:

[0083] t bc =(t ypt -t gdr )+(t fs -t bz ),

[0084] Among them, t bc Indicates the delay compensation for sending electronic tag data from the optical cable to the cloud platform, t gdr represents the local time of the optical cable, t bz Indicates the standard time for the optical cable to send electronic tag data to the cloud platform;

[0085] Step S4012: Calculate the priority of the ith communication channel between the optical cable and the cloud platform wireless communication, and the calculation formula is:

[0086]

[0087] Among them, Yx i represents the priority of the i-th communication channel between the optical cable and the cloud platform wireless communication, E represents the annealing algorithm, B represents the Boltzmann constant, log() represents the logarithmic function, w represents the signal data volume weight of the optical cable and the cloud platform communication, Tx represents the signal data volume of the optical cable and the cloud platform communication, λ represents the communication network impedance penalty coefficient, and v i represents the communication rate of the ith communication channel between the optical cable and the cloud platform wireless communication, Z kzi represents the communication impedance of the ith communication channel between the optical cable and the cloud platform wireless communication, η represents the load factor, and Fz i represents the load of the ith communication channel between the optical cable and the cloud platform wireless communication, max() represents the maximum value function, and Fz I Represents the set of communication channels between the optical cable and the cloud platform wireless communication;

[0088] The principle of the above formula: the better the channel quality, the higher the priority. The channel quality can be measured by the signal-to-noise ratio. The higher the signal-to-noise ratio, the better the communication quality. The bandwidth determines the data transmission rate of the communication channel. The larger the bandwidth, the higher the priority may be. Low latency usually means high priority, because applications with higher real-time requirements require lower latency. The lower the network load of the current channel, the higher the priority can be. It can also be evaluated by reliability and device status. By evaluating the priority of each channel, bandwidth and computing resources can be reasonably allocated among multiple communication channels to ensure that key tasks (such as real-time video, voice, etc.) are given priority, improve the overall communication quality of the system, and reduce packet loss and latency.

[0089] The communication impedance Z of the i-th communication channel between the optical cable and the cloud platform wireless communication kzi The calculation formula is:

[0090] Z1 represents the impedance of the wireless communication network input, z represents the characteristic value of the wireless communication network, and Jg represents the structure of the wireless communication network, which is calculated using the existing technology;

[0091] Step S4013: Select the communication channel with the highest priority as the transmission channel for wireless communication between the optical cable and the cloud platform, that is, max(Yx i ).

[0092] The specific steps of step S403 are:

[0093] Step S4031: Set the electronic tag data set of all collected optical cables to B, where B = ((Jt1, Jw1, Zb1, Xs1), (Jt2, Jw2, Zb2, Xs2), ..., (Jtn ,Jw n ,Zb n ,Xs n )), where Jt n Indicates the nth connector data in the electronic label data set of the optical cable, Jw n Indicates the nth longitude and latitude data in the electronic tag data set of the optical cable, Zb n Indicates the nth internal index data in the electronic label data set of the optical cable, Xs n Represents the electronic label data of the nth subordinate node in the electronic label data set of the optical cable;

[0094] Step S4032: construct a tree-like optical cable structure, and set the tree-like optical cable structure to T, where T = (Jd, E), Jd represents a set of nodes in the tree-like optical cable structure, and E represents a set of edges in the tree-like optical cable structure;

[0095] Step S4033: Calculate the optical cable recommendation rate of the i-th node, and the calculation formula is:

[0096]

[0097] Among them, Xl i represents the optical cable recommendation rate of the ith node, Xl cs represents the initial recommendation rate of the optical cable of the i-th node, δ represents the transmission efficiency of the optical fiber channel of the optical cable of the i-th node, Sj i represents the amount of signal data transmitted by the optical cable of the i-th node, Sj i represents the data carrying capacity of the optical cable transmission of the i-th node, ω1 represents the influence coefficient of the optical cable transmission signal data, Zs represents the noise in the optical cable transmission of the i-th node, ω2 represents the noise influence coefficient in the optical cable transmission, T bh represents the temperature influence in the optical cable transmission of the i-th node, ω3 represents the temperature influence coefficient in the optical cable transmission, Sz represents the transmission delay of the optical cable of the i-th node, and ω4 represents the delay influence coefficient in the optical cable transmission;

[0098] In this embodiment, the calculation principle of the optical cable recommendation rate is based on the prediction of the optical cable demand. It is assumed that there is a network in which each node represents a potential user or device, and the properties of each optical cable (such as bandwidth, transmission distance, etc.) and the relationship between the node's demand (such as bandwidth demand, data transmission demand, etc.) will affect the recommendation rate;

[0099] First, the demand data of each node (such as bandwidth, delay requirements, etc.) and the attribute data of the optical cable (such as bandwidth, transmission capacity, etc.) are collected. Then, appropriate features are selected or extracted according to the attributes of the node and the optical cable. According to the weight of each feature, the optical cable recommendation rate of each node is calculated. Finally, the optical cables are sorted according to the calculated recommendation rate, and the optical cable with the highest recommendation rate is selected. The advantage is that real-time recommendations can be made based on real-time data, thereby improving the efficiency of data transmission.

[0100] The calculation formula for the transmission delay Sz of the optical cable at the i-th node is: Where Zs represents the refractive index of the optical cable at the i-th node, L represents the length of the optical cable at the i-th node, c represents the propagation speed of light in a vacuum, and the temperature effect T of the optical cable at the i-th node is bh The calculation formula is: Wherein, f0 represents the data center frequency of the signal transmitted by the optical cable at the i-th node, α represents the thermal expansion coefficient of the optical cable at the i-th node, β represents the thermal coefficient of the refractive index of the optical cable at the i-th node, ΔX represents the temperature difference of the optical cable at the i-th node, and the calculation formula of the noise Zs in the transmission of the optical cable at the i-th node is: Zs=Zs1+Zs2, wherein Zs1 represents the noise generated by the interaction between phonons and light waves in the optical cable at the i-th node, and Zs2 represents the noise generated by the loss of the optical cable at the i-th node;

[0101] Step S4034: according to the optical cable recommendation rate of the i-th node, the signal data is evenly distributed in the optical cable for transmission.

[0102] The tree-like optical cable structure consists of n optical cable structures, and each optical cable connector is regarded as a tree node.

[0103] The process of linear resource management includes: laying pipelines and placing optical cables in the laid pipelines; attaching RFID electronic tags at the nodes of pipelines and optical cables; using acquisition equipment and sensors to collect electronic tag data of pipelines and optical cables, and preprocessing them; transmitting the preprocessed electronic tag data to a cloud platform, using the method of the present invention to analyze and process the electronic tag data of optical cables, and digitally manage the pipelines; when the pipelines or optical cables reach the end of their service life, the pipelines or optical cables are recycled, and new pipelines or optical cables are installed, completing the full-cycle linear resource management of pipelines and optical cables.

[0104] Example 2

[0105] See also Figure 3 ,Another embodiment provided by the present invention: A linear resource full-process monitoring and management system, comprising: a demand determination module, a data acquisition module, a data preprocessing module, a linear resource management module and an improvement and summary module;

[0106] The demand determination module is used to determine the optical cables to be monitored, and to clarify the purpose and method of monitoring, including determining the monitoring time interval, monitoring frequency, and monitoring personnel;

[0107] The data acquisition module is used to collect the electronic tag data of the optical cable using acquisition equipment and sensors;

[0108] The data preprocessing module is used to preprocess the collected linear resource related data;

[0109] The linear resource management module is used to transmit the pre-processed electronic tag data of the optical cable to the cloud platform, and conduct real-time online monitoring, comprehensively analyze all the collected electronic tag data of the optical cable, and manage the optical cable throughout its life cycle, and reasonably distribute the transmitted signal data to the optical cable, so that the optical cable can transmit the signal data at the best efficiency;

[0110] The improvement and summary module is used to formulate corresponding improvement plans and measures based on the results of data analysis, regularly evaluate and summarize the monitoring work of linear resources, check the effects and results of monitoring, promptly discover and solve problems, and continuously improve monitoring management methods.

[0111] The linear resource management module includes a data transmission unit and an optical cable transmission selection unit;

[0112] The data transmission unit is used to select a communication channel for sending the optical cable electronic tag data to the cloud platform wireless communication network;

[0113] The optical cable transmission selection unit is used to analyze all collected electronic tag data of optical cables, calculate the recommendation rate of optical cables based on signal requirements and optical cable node requirements, and evenly distribute the signals in the optical cables for transmission.

[0114] Example 3

[0115] See also Figure 4 , an electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of a method for monitoring and managing the entire process of linear resources when executing the computer program.

[0116] A computer-readable storage medium stores computer instructions, which, when executed, execute the steps of a method for monitoring and managing the entire process of linear resources.

[0117] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0118] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0119] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0120] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0121] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

[0122] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A linear resource full-process monitoring and management method, characterized in that: The specific steps include: Step S1: determine the monitored optical cable, clarify the purpose and method of monitoring, including determining the monitoring time interval, monitoring frequency, and monitoring personnel; Step S2: Collecting electronic tag data of the optical cable using a collection device and a sensor; Step S3: preprocessing the collected linear resource related data; Step S4: transmitting the pre-processed electronic tag data of the optical cable to the cloud platform, and performing real-time online monitoring, constructing a tree-like optical cable structure, converting the mesh optical cable structure into a tree-like structure, analyzing the real-time transmitted optical cable linear resource data, and reasonably allocating the transmitted signal data to the optical cable, so that the optical cable transmits the signal data at the best efficiency; Step S5: Based on the results of data analysis, formulate corresponding improvement plans and measures, regularly evaluate and summarize the monitoring work of linear resources, check the effects and results of monitoring, discover and solve problems in a timely manner, and continuously improve monitoring management methods.

2. The linear resource full-process monitoring and management method according to claim 1, characterized in that: The electronic label data of the optical cable in step S2 includes the connector mark, longitude and latitude, and internal index data. The connector marking includes the node location of the optical cable, Internal index data include optical characteristic index data, mechanical characteristic index data, electronic characteristic index data, The electronic label data of the optical cable also includes: the electronic label data of the subordinate nodes.

3. The linear resource full-process monitoring and management method according to claim 1, characterized in that: The preprocessing in step S3 includes data cleaning, removing duplicate data and redundant data, and completing missing data.

4. The linear resource full-process monitoring and management method according to claim 1, characterized in that: The specific steps of step S4 are: Step S401: transmitting the pre-processed electronic tag data of the optical cable to the cloud platform via a wireless network, and optimizing and selecting the transmission delay and communication channel of the wireless network; Step S402: Establish a database on the cloud platform to store all collected electronic tag data of the optical cables and monitor the changes and status of the data in real time; Step S403: Analyze all collected electronic tag data of optical cables, calculate the recommended rate of optical cables based on signal requirements and optical cable node requirements, and evenly distribute the signals in the optical cables for transmission; Step S404: Perform full life cycle management on the optical cable, including storage management, inventory management, scheduling management, and maintenance management of the optical cable.

5. The linear resource full-process monitoring and management method according to claim 4, characterized in that: The specific steps of step S401 are: Step S4011: Set the time for the optical cable to send the electronic tag data to the cloud platform as t fs , the local time of the cloud platform is t ypt , to compensate for the delay of sending electronic tag data from the optical cable to the cloud platform. The calculation formula is: t bc =(t ypt -t gdr )+(t fs -t bz ), Among them, t bc Indicates the delay compensation for sending electronic tag data from the optical cable to the cloud platform, t gdr represents the local time of the optical cable, t bz Indicates the standard time for the optical cable to send electronic tag data to the cloud platform; Step S4012: Calculate the priority of the ith communication channel between the optical cable and the cloud platform wireless communication, and the calculation formula is: Among them, Yx i represents the priority of the i-th communication channel between the optical cable and the cloud platform wireless communication, E represents the annealing algorithm, B represents the Boltzmann constant, log() represents the logarithmic function, w represents the signal data volume weight of the optical cable and the cloud platform communication, Tx represents the signal data volume of the optical cable and the cloud platform communication, λ represents the communication network impedance penalty coefficient, and v i represents the communication rate of the ith communication channel between the optical cable and the cloud platform wireless communication, Z kzi represents the communication impedance of the ith communication channel between the optical cable and the cloud platform wireless communication, η represents the load factor, and Fz i represents the load of the ith communication channel between the optical cable and the cloud platform wireless communication, max() represents the maximum value function, and Fz I represents the set of communication channels between the optical cable and the wireless communication of the cloud platform; Step S4013: Select the communication channel with the highest priority as the transmission channel for wireless communication between the optical cable and the cloud platform, that is, max(Yx i ).

6. The linear resource whole process monitoring and management method according to claim 4, characterized in that: The specific steps of step S403 are: Step S4031: Set the electronic tag data set of all collected optical cables to B, where B = ((Jt1, Jw1, Zb1, Xs1), (Jt2, Jw2, Zb2, Xs2), ..., (Jt n ,Jw n ,Zb n ,Xs n )), where Jt n Indicates the nth connector data in the electronic label data set of the optical cable, Jw n Indicates the nth longitude and latitude data in the electronic tag data set of the optical cable, Zb n Indicates the nth internal index data in the electronic label data set of the optical cable, Xs n Represents the electronic label data of the nth subordinate node in the electronic label data set of the optical cable; Step S4032: construct a tree-like optical cable structure, and set the tree-like optical cable structure to T, where T = (Jd, E), Jd represents a set of nodes in the tree-like optical cable structure, and E represents a set of edges in the tree-like optical cable structure; Step S4033: Calculate the optical cable recommendation rate of the i-th node, and the calculation formula is: Among them, Xl i represents the optical cable recommendation rate of the ith node, Xl cs represents the initial recommendation rate of the optical cable of the i-th node, δ represents the transmission efficiency of the optical fiber channel of the optical cable of the i-th node, Sj i represents the amount of signal data transmitted by the optical cable of the i-th node, Sj i represents the data carrying capacity of the optical cable transmission of the i-th node, ω1 represents the influence coefficient of the optical cable transmission signal data, Zs represents the noise in the optical cable transmission of the i-th node, ω2 represents the noise influence coefficient in the optical cable transmission, T bh represents the temperature influence in the optical cable transmission of the i-th node, ω3 represents the temperature influence coefficient in the optical cable transmission, Sz represents the transmission delay of the optical cable of the i-th node, and ω4 represents the delay influence coefficient in the optical cable transmission; Step S4034: according to the optical cable recommendation rate of the i-th node, the signal data is evenly distributed in the optical cable for transmission.

7. A linear resource full-process monitoring and management system, which is used to implement the linear resource full-process monitoring and management method according to any one of claims 1 to 6, characterized in that: include: Demand determination module, data collection module, data preprocessing module, linear resource management module and improvement and summary module; The demand determination module is used to determine the optical cables to be monitored, and to clarify the purpose and method of monitoring, including determining the monitoring time interval, monitoring frequency, and monitoring personnel; The data acquisition module is used to collect the electronic tag data of the optical cable using acquisition equipment and sensors; The data preprocessing module is used to preprocess the collected linear resource related data; The linear resource management module is used to transmit the pre-processed electronic tag data of the optical cable to the cloud platform, and conduct real-time online monitoring, comprehensively analyze all the collected electronic tag data of the optical cable, and manage the optical cable throughout its life cycle, and reasonably distribute the transmitted signal data to the optical cable, so that the optical cable can transmit the signal data at the best efficiency; The improvement and summary module is used to formulate corresponding improvement plans and measures based on the results of data analysis, regularly evaluate and summarize the monitoring work of linear resources, check the effects and results of monitoring, promptly discover and solve problems, and continuously improve monitoring management methods.

8. The linear resource full-process monitoring and management system according to claim 7, characterized in that: The linear resource management module includes a data transmission unit and an optical cable transmission selection unit; The data transmission unit is used to select a communication channel for sending the optical cable electronic tag data to the cloud platform wireless communication network; The optical cable transmission selection unit is used to analyze all collected electronic tag data of optical cables, calculate the recommendation rate of optical cables based on signal requirements and optical cable node requirements, and evenly distribute the signals in the optical cables for transmission.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the linear resource full-process monitoring and management method described in any one of claims 1-6 are implemented.

10. A computer-readable storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed, the steps of the linear resource full-process monitoring and management method described in any one of claims 1-6 are executed.

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