A system for pop load distribution optimization in fixed networks

Abstract

The present invention relates to a system (1) which enables new location recommendations to be created, new network recommendations and customer migration recommendations to be offered to organizations by taking into account the amount of occupancy, weather conditions, possible failures and natural disasters at PoP (Point of Presence) locations that organizations have; new PoP locations and customers to be migrated to these locations to be determined by regularly analyzing the data received from PoP locations via artificial intelligence algorithms and machine learning; and organizations to perform network optimization by presenting said recommendations in a map environment.

Description

[0001] A SYSTEM FOR POP LOAD DISTRIBUTION OPTIMIZATION IN FIXED NETWORKS

[0002] Technical Field

[0003] The present invention relates to a system which enables new location recommendations to be created, new network recommendations and customer migration recommendations to be offered to organizations by taking into account the amount of occupancy, weather conditions, possible failures and natural disasters at PoP (Point of Presence) locations that organizations have; new PoP locations and customers to be migrated to these locations to be determined by regularly analyzing the data received from PoP locations via artificial intelligence algorithms and machine learning; and organizations to perform network optimization by presenting the said recommendations in a map environment.

[0004] Background of the Invention

[0005] There are infrastructures that allow remote users to connect to the internet in line with the internet service that service provider organizations provide to their existing customers. Among these infrastructures, the point of presence (POP) comprises the points where two or more networks or communication devices establish connections with each other. Points of presence (POPs) are referred to as access points that help devices to establish connection with the internet and to connect with these devices. Today, service provider organizations obtain complex data in a scattered manner and are unable to view existing POP loads when making network plans.

[0006] For this reason, it is understood that there is a need for a system which enables the users making the network plan to view the POP loads and to analyze the data in integrity; and which enables the needed plans to be recommended by taking into account the existing loads on the fixed network.

[0007] The Turkish patent document no. TR2020 / 20015, an application included in the state of the art, discloses an inventory planning system. The said invention relates to a system which enables the inventories that are needed in existing sites or suitable for new installations and purchases to be determined via machine learning models by analyzing the data related to the inventories at the sites in the mobile and fixed network infrastructure. The invention comprises at least one server which is configured to create a data set by receiving fault notifications, installation site information and purchased inventory information transmitted via any communication channel; to process the data by feeding the created data set as input to a machine learning model; to determine the inventories suitable for the sites where new installations will be made through the processed data; and to transmit the determined inventories in the form of a list to the relevant units via any communication channel.

[0008] However, in the Turkish patent document no. TR2020 / 20015, the existing system is not taken into account and in addition, solutions are not provided for updating customer connections rather than inventory content or optimizing the locations where new customers will receive service.

[0009] Summary of the Invention

[0010] An object of the present invention is to realize a system which is developed to enable customer loss problems due to interruptions at points of presence (POPs) to be eliminated.

[0011] Another object of the present invention is to realize a system which is developed to enable organizations to realize cable conservation by enabling new communication points to be added to their existing systems and existing customers to be transferred to closer POPs.

[0012] Detailed Description of the Invention

[0013] “A System for Pop Load Distribution Optimization in Fixed Networks” realized to fulfil the objectives of the present invention is shown in the figure attached, in which:

[0014] Figure 1 is a schematic view of the inventive system.

[0015] The components illustrated in the figure are individually numbered, where the numbers refer to the following:

[0016] 1. System

[0017] 2. Earthquake Data Database

[0018] 3. Temperature Data Database

[0019] 4. Failure Data Database

[0020] 5. Customer and POP Data Database

[0021] 6. Analysis Database

[0022] 7. Server

[0023] The inventive system (1) developed to provide POP load distribution optimization in fixed networks comprises at least one earthquake data database (2) which is configured to keep a record of earthquake data for specific locations; at least one temperature data database (3) which is configured to keep a record of temperature data for specific locations; at least one failure data database (4) which is configured to keep a record of failure data of devices, cables and provided services located at specific locations; at least one customer and POP data database (5) which is configured to keep a record of existing customer data and data on existing points of presence (POPs) of organizations; at least one analysis database (6) which is configured to receive earthquake data for specific locations from the earthquake data database (2), temperature data for specific locations from the temperature data database (3), failure data of devices, cables and provided services located at specific locations from the failure data database (4), and existing customer data and data on existing points of presence (POPs) of organizations from the customer and POP data database (5) via any communication protocol and to keep a record of the same; and at least one server (7) which is configured to establish communication with the analysis database (6) via any communication protocol; to analyze the data recorded in the analysis database (6) by using artificial intelligence algorithms and machine learning; and to transmit an optimization prediction to the users by creating it as a result of the analysis.

[0024] The earthquake data database (2) included in the inventive system (1) is configured to keep a record of earthquake data for specific locations and to keep a record of earthquake statistics by calculating them by using the map intersection method on the locations where the existing fault lines occur.

[0025] The analysis database (6) included in the inventive system (1) is in communication with the earthquake data database (2), the temperature data database (3), the failure data database (4), and the customer and POP data database (5) and is configured to receive earthquake data and temperature data for specific locations, failure data of the devices, cables and provided services located at the said locations, and existing customer data and data on existing points of presence (POPs) of organizations in json format via any communication protocol.

[0026] The server (7) included in the inventive system (1) is configured to establish communication with the analysis database (6) via any communication protocol and to analyze the earthquake data and temperature data for specific locations, failure data of the devices, cables and provided services located at the said locations, and existing customer data and data on existing points of presence (POPs) of organizations in the analysis database (6) by applying artificial neural network and learning rule. The server (7) is configured to perform a fixed network POP optimization prediction as a result of the analysis carried out by applying artificial neural network and learning rule. The server (7) is configured to provide recommendations for updating existing POP connections of fixed network customers and recommendations for effective use of the fixed network as a result of the analysis carried out by applying artificial neural network and learning rule. The server (7) is configured to create new POP locations recommendations and to detect customers to be migrated to the created locations by regularly analyzing earthquake data and temperature data for specific locations, failure data of devices, cables and provided services located at specific locations, and existing customer data and data on existing points of presence (POPs) of the organizations via artificial intelligence algorithms and machine learning. The server (7) is configured to enable network optimization by presenting the new POP locations created and the customers to be migrated to the created locations as recommendations to authorized users in the map environment.

[0027] Industrial Application of the Invention

[0028] In the inventive system (1), the earthquake data for specific locations in the earthquake data database (2), temperature data for specific locations in the temperature data database (3), failure data of devices, cables and provided services located at specific locations in the failure data database (4), existing customer data and data on existing points of presence (POPs) of the organizations in the customer and POP data database (5) are recorded on the analysis database (6) by being converted into json format. The data recorded in the analysis database (6) is analyzed by the server (7) through any communication path by using artificial intelligence algorithms and machine learning. As a result of the performed analysis, it is enabled to transmit new POP locations to the networks and customers to be migrated / relocated between locations to the authorized user and network optimization recommendations to be provided with the analysis carried out by using POP load distributions in fixed networks and data received from various sources. Within these basic concepts; it is possible to develop various embodiments of the inventive “A System for Pop Load Distribution Optimization in Fixed Networks (1)”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS1. A system (1) which enables new location recommendations to be created and new network recommendations and customer migration recommendations to be offered to organizations by taking into account the amount of occupancy, weather conditions, possible failures and natural disasters at PoP locations that organizations have; new PoP locations and customers to be migrated to these locations to be determined by regularly analyzing the data received from PoP locations; and organizations to perform network optimization by presenting said recommendations in a map environment; comprising at least one earthquake data database (2) which is configured to keep a record of earthquake data for specific locations; at least one temperature data database (3) which is configured to keep a record of temperature data for specific locations; at least one failure data database (4) which is configured to keep a record of failure data of devices, cables and provided services located at specific locations; at least one customer and POP data database (5) which is configured to keep a record of existing customer data and data on existing points of presence (POPs) of organizations; and characterized by at least one analysis database (6) which is configured to receive earthquake data for specific locations from the earthquake data database (2), temperature data for specific locations from the temperature data database (3), failure data of devices, cables and provided services located at specific locations from the failure data database (4), and existing customer data and data on existing points of presence (POPs) of organizations from the customer and POP data database (5) via any communication protocol and to keep a record of the same; and at least one server (7) which is configured to establish communication with the analysis database (6) via any communication protocol; to analyze the data recorded in the analysis database (6) by using artificial intelligence algorithms andmachine learning; and to transmit an optimization prediction to the users by creating it as a result of the analysis.

2. A system (1) according to Claim 1; characterized by the earthquake data database (2) which is configured to keep a record of data by calculating earthquake statistics by using the map intersection method on the locations where existing fault lines occur.

3. A system (1) according to Claim 1 or 2; characterized by the analysis database (6) which is configured to receive earthquake data and temperature data for specific locations, failure data of the devices, cables and provided services located at the said locations, and existing customer data and data on existing points of presence (POPs) of organizations in json format via any communication protocol.

4. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to establish communication with the analysis database (6) via any communication protocol and to analyze the earthquake data and temperature data for specific locations, failure data of the devices, cables and provided services located at the said locations, and existing customer data and data on existing points of presence (POPs) of organizations in the analysis database (6) by applying artificial neural network and learning rule.

5. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to perform a fixed network POP optimization prediction as a result of the analysis carried out by applying artificial neural network and learning rule.

6. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to provide recommendations for updating existing POP connections of fixed network customers and recommendations foreffective use of the fixed network as a result of the analysis carried out by applying artificial neural network and learning rule.

7. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to create new POP locations recommendations and to detect customers to be migrated to the created locations by regularly analyzing earthquake data and temperature data for specific locations, failure data of devices, cables and provided services located at specific locations, and existing customer data and data on existing points of presence (POPs) of the organizations via artificial intelligence algorithms and machine learning.

8. A system (1) according to any one of the preceding claims; characterized by the server (7) which is configured to enable network optimization by presenting the new POP locations created and the customers to be migrated to the created locations as recommendations to authorized users in the map environment.

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