ADVANCED FIELD MANAGEMENT SYSTEM FOR TELECOMMUNICATIONS OPERATORS

Abstract

This invention relates to a system (1) developed to enable the identification of areas requiring interaction by analyzing field information in depth, continuous monitoring of traffic density and technical conditions, estimation of future inventory needs and costs, assistance to operators in selecting the most suitable sites based on historical data, and improvement of user experience and site management through interactive 3D mapping and predictive maintenance planning integrations.

Description

1 TARIFF ADVANCED FIELD MANAGEMENT SYSTEM FOR TELECOMMUNICATIONS OPERATORS Technical Area This invention enables areas requiring interaction by analyzing field data in depth. determining, continuously monitoring traffic density and technical conditions, future estimating inventory needs and costs, operators' past performance Helping them select the most suitable sites based on the data and interactive 3D with mapping and predictive maintenance planning integrations, user experience and 10 It relates to a system that enables the improvement of field management. Previous Technique Telecommunications operators face various challenges in field, inventory and cost management. They are encountering challenges. In field management, infrastructure and infrastructure spread across wide geographical areas. equipment maintenance, rapid troubleshooting, and efficient field personnel. Coordination creates a great deal of complexity. Inventory management, on the other hand, is continuous. This challenges its capacity to cope with changing demands and evolving technologies; This situation creates risks of both excess and shortage of inventory. Furthermore, the cost is 20. management, high-tech investments, maintenance costs, and operational expenses This requires coping with various financial burdens in these areas. These problems directly affect operational efficiency and financial performance, This can reduce the competitiveness of operators. Therefore, by thoroughly analyzing field data, areas requiring interaction can be identified. determining, continuously monitoring traffic density and technical conditions, future estimating inventory needs and costs, operators' past performance 2 Helping them select the most suitable sites based on the data and interactive 3D User experience is enhanced through mapping and predictive maintenance planning integrations. a system is needed that will improve field management It is understood. According to Chinese patent document number CN106682743, which is included in the prior art, Electrical energy and telecommunications operation and maintenance work order planning and management. The method and system are discussed. The invention in question is electrical. A method for planning and managing operational and maintenance work orders in the telecommunications field. and describes the system. The method involves obtaining work order and employee information, tasks and 10 It includes the stages of conducting employee matching analysis and work order planning. Work order and After employee data is collected, a task difficulty coefficient is assigned for each project, and for each maintenance employee's operational skill coefficient and task matching degree for a single employee The tasks are calculated. Then, each task is assigned to the appropriate operations and maintenance personnel. This method assigns tasks to the appropriate employee based on the degree of task matching. This ensures efficient deployment, thereby increasing operational and maintenance efficiency and reducing costs. is reduced. Brief Description of the Invention The aim of this invention is to analyze field data in depth, thereby enabling interaction-based learning. Identifying areas, continuously monitoring traffic density and technical conditions, forecasting future inventory needs and costs, for operators Helping them select the most suitable sites based on historical data and With interactive 3D mapping and predictive maintenance planning integrations, user 25 developed to improve experience and field management The goal is to implement the system. 3 Detailed Description of the Invention The “Advanced Solution for Telecommunications Operators” was developed to achieve the purpose of this invention. The "Field Management System" is shown in the attached diagram; Figure 1 shows a schematic view of the system that is the subject of the invention. The parts shown in the figure are individually numbered, and the corresponding numbers correspond to these numbers. It is given below. 1. System 2. Database 3. Server By analyzing field data in depth, 15 areas requiring interaction were identified. determining, continuously monitoring traffic density and technical conditions, future estimating inventory needs and costs, operators' past performance Helping them select the most suitable sites based on the data and interactive 3D User experience is enhanced through mapping and predictive maintenance planning integrations. The system in question, which is the subject of the invention, was developed to improve field management. 20 (1); - field information data such as location, capacity, traffic density, and outage history, inventory usage data, collaboration and field sharing data, and technical status. at least one database (2) structured to keep the reports data on record and -Analysis of field data, determining the most suitable type of interaction between sites 25 determining this, future traffic density and potential malfunction risks. estimating the potential impacts, traffic densities of the areas, continuous monitoring of technical status and other critical metrics, past 4 By analyzing inventory usage data, failure history, and other critical data estimating future inventory needs and associated costs, operators' past field sharing data, collaboration history, and other critical Analyzing the parameters to determine the most suitable sites, operators By thoroughly analyzing the field data uploaded by [company name], this information is used in 5 visualization on interactive 3D maps and the fault history of each site. and customized maintenance plans based on an analysis of the current technical condition. at least one structured to ensure its creation and transmission to the relevant units Includes server (3). The database (2) in the system (1) which is the subject of the invention, any communication protocol to communicate with the server (3) and exchange data using It is structured. The database (2) is managed by the server (3) and is continuously It is being configured to be updated accordingly. The server (3) in the system (1) which is the subject of the invention, uses any communication protocol to communicate with the database (2) and exchange data using The server (3) is configured to manage the database (2). It is configured. The server (3) allows operators to access various field settings through an interface. It is configured to allow them to enter their information. Server 20 (3), locations of sites, capacities, available traffic loaded by operators field data including various parameters such as densities and failure histories It is structured to enable analysis. Server (3), artificial intelligence The algorithm processes field data to determine what type of interaction exists between fields. (for example, resource sharing or co-investment) determine which is most suitable and these 25 the effects of interactions on future traffic density and potential failure risks It is configured to enable it to estimate its possible effects. Server (3), determined in cases of high traffic density, technical failures or other unexpected situations Instant notifications to the relevant operator when a threshold value is exceeded. It is configured to enable sending. Server (3), inventory setup, The costs of operations such as maintenance and dismantling depend on the location and capacity of the site. to enable calculations based on factors such as usage intensity is configured. Server (3), the algorithm is constantly updated, cost 5 strategies that will maximize effectiveness and efficiency It is structured to enable the development of the server (3), operators in the field. to be more aware of expansion, collaboration and resource management, and It is structured to help students make strategic decisions. Server (3) displays the locations of the sites, their capacities, current traffic densities and 10 fault histories displayed live and interactively on three-dimensional maps. It is structured to ensure that the server (3) is presented. the algorithm analyzes inter-site interactions on three-dimensional maps and which type of interaction is most appropriate, whether it's sharing or investment. It is configured to enable predictions to be made. Server (3), 15 created maintenance plans enable long-term cost savings and allow operators to perform field maintenance effectively. It is structured in such a way as to enable planning. The server (3), data Deep learning-based Convolutional Neural Networks are used for anomaly detection in the analysis. To enable the use of the (Convolutional Neural Networks - CNN) model. It is structured. Server (3), Convolutional Neural Networks model traffic density, 20 in the form of failure frequency, weather data and technical performance metrics extracting features, applying normalization and standardization processes It is configured to provide the Server (3), noise reduction and missing data. It is structured to enable data processing using data stuffing techniques. Server (3), Modeling Data in Unbalanced Datasets (SMOTE-Synthetic 25 Balancing using Minority Over-Sampling Technique) technology It is configured to provide. Server (3), YOU (Stochastic Neighbor Embedding (Stochastic Neighboring) and PCA (Principal Component Analysis) 6 Using dimensionality reduction techniques such as component analysis, the structure of the data is analyzed. and understanding their groups and which features the model should focus on It is configured to enable the determination of the server (3) to be used in the model. data from field sensors, operator logs, and user reports It is configured to enable the collection of data. The server (3) ensures that the collected data is collected. to ensure diversification to include intercity and intracity areas is being configured. Server (3), Stochastic Gradient Reduction of the model (Stochastic Using Gradient Descent and Backpropagation techniques It is configured to enable training. Server (3), Damping (Dropout) and excess 10 using Batch Normalization techniques It is configured to prevent overfitting. Server (3), K Number of Cross-Validations of the Model's Performance (K-Fold Cross- It is structured to enable evaluation using validation techniques. Server (3) pre-planned based on predicted data trends and potential risks. It is configured to provide maintenance and upgrade recommendations. 15 Industrial Applicability By means of the system (1) which is the subject of the invention, field information can be analyzed in depth. Identifying areas requiring interaction, traffic density and technical conditions 20 continuous monitoring, forecasting future inventory needs and costs. this allows operators to select the most suitable sites based on historical data. Assistance and interactive 3D mapping and predictive maintenance planning. Improving user experience and field management through integrations is provided. 25 Around these fundamental concepts, the invention is titled "Advanced Field Technology for Telecommunications Operators". It is possible to develop a wide variety of applications related to the Management System (1), 7 The invention cannot be limited to the examples described here, but is primarily defined in the claims. It is like that.

Claims

8 REQUESTS 1. By thoroughly analyzing field data, areas requiring interaction are identified. determining, continuously monitoring traffic density and technical conditions, estimating future inventory needs and costs, 5 helping operators select the most suitable sites based on historical data. and interactive 3D mapping and predictive maintenance planning Improving user experience and field management through integrations providing; -Field information such as location, capacity, traffic density, and outage history 10 data, inventory usage data, collaboration and field sharing data, and at least a system configured to keep a record of technical status report data. containing a database (2) and -Analyzing field data, determining what type of interaction between sites is most beneficial. determining suitability, future traffic density and potential 15 estimating the potential impacts on failure risks, sites traffic densities, technical status, and other critical metrics are constantly monitored. monitoring, past inventory usage data, failure history, and by analyzing other critical data, future inventory needs and related Estimating costs, operators' past field sharing 20 by analyzing their data, collaboration history, and other critical parameters Identifying the most suitable sites, sites loaded by operators. by deeply analyzing the information and creating interactive 3D maps. visualization and failure history and current technical data for each site. analyzing the condition and creating customized maintenance plans, and 25 At least one server configured to ensure that it is transmitted to the relevant units (3) a system characterized by (1). 9 2. To communicate with the server (3) using any communication protocol and with the database (2) configured to carry out data exchange A system like the one in Claim 1, characterized (1).

3. To be managed and continuously updated by the server (3) 5 a structured database (2) characterized by a like the one in Claim 1 or 2 system (1).

4. Communicate with the database (2) using any communication protocol. and characterized by the server (3) configured to carry out data exchange 10 a system like any of the above-mentioned requests (1).

5. Characterized by the server (3) configured to manage the database (2). a system like any of the above-mentioned requests (1).

6. Operators enter various field data through an interface. characterized by the server (3) configured to enable them to do so a system like any of the above requests (1).

7. Loaded by operators, site locations, capacities, available 20 including various parameters such as traffic densities and breakdown histories with server (3) configured to enable analysis of field data a system like any of the above characterized demands (1).

8. How does the artificial intelligence algorithm process field data to identify which types of 25 fields are available? an interaction, for example, resource sharing or joint investment, is most suitable to determine whether these interactions will affect future traffic density and estimating the potential impacts on potential failure risks the above characterized by the server (3) configured to provide a system like any of the requests (1). 30 9. In case of high traffic density, technical malfunctions, or other unexpected situations If a specified threshold value is exceeded, the relevant operator is notified instantly. with the server (3) configured to enable notifications to be sent A system like any of the above-mentioned requirements characterized (1). 5 10. The costs of operations such as inventory setup, maintenance and dismantling. factors such as the location of the site, its capacity and usage intensity the server (3) configured to enable calculation based on A system like any of the above-mentioned demands characterized (1). 10 11. By continuously updating the algorithm, cost-effectiveness and efficiency will be improved. to ensure the development of strategies that will maximize this from the above requests characterized by the server (3) configured for a system like any other (1). 15 12. Operators need to be more proficient in field expansion, collaboration, and resource management. to ensure they are informed and to help them make strategic decisions from the above requests characterized by the server (3) configured for a system like any other (1). 20 13. Locations of sites, their capacities, current traffic densities, and malfunctions. their pasts in a live and interactive way on three-dimensional maps characterized by the server (3) configured to enable its presentation a system like any of the above requests (1). 25 14. Artificial intelligence algorithm's inter-site mapping on three-dimensional maps. It analyzes interactions and determines which type of interaction is in the form of sharing or investment. to enable predictions about when the interaction is most optimal 11 any of the above requests characterized by the configured server (3) a system like one of them (1).

15. Long-term cost savings and operator benefits are achieved through the maintenance plans created. 5 to enable effective planning of field maintenance any of the above requests characterized by the configured server (3) a system like one of them (1).

16. Deep learning-based Convolutional Neural Networks are used for anomaly detection in data analysis. The use of Convolutional Neural Networks (CNN) model 10 the above characterized by the server (3) configured to provide a system like any of the requests (1).

17. Convolutional Neural Network model of traffic density, failure frequency, weather conditions extracting features in the form of data and technical performance metrics, 15 to ensure the implementation of normalization and standardization processes any of the above requests characterized by the configured server (3) a system like one of them (1).

18. Using noise reduction and data filling techniques on the data 20 characterized by the server (3) configured to enable processing a system like any of the above requests (1).

19. Modeling Data in Unbalanced Datasets (SMOTE - Synthetic Minority) To ensure balance using Over-Sampling Technique (OS) technology 25 from the above requests characterized by the server (3) configured for a system like any other (1).

20. SEN (Stochastic Neighbor Embedding) and PCA Dimension 30 (Principal Component Analysis) 12 using reduction techniques to structure and group data understanding which features the model should focus on characterized by the server (3) configured to enable its determination a system like any of the above requests (1). Data to be used in Model 21 will come from field sensors, operator logs, and Server configured to collect user reports (3) a system like any of the above-mentioned claims characterized by (1).

22. The collected data should cover both intercity and intracity areas. characterized by the server (3) configured to enable its diversification. a system like any of the above-mentioned requests (1).

23. Stochastic Gradient Descent and Back to Model 15 To enable training using backpropagation techniques. any of the above requests characterized by the configured server (3) a system like one of them (1).

24. Damping (Dropout) and Batch Normalization 20 to prevent overfitting by using techniques from the above requests characterized by the server (3) configured for a system like any other (1).

25. Cross-validation of the model's performance by K numbers (K-Fold Cross-25). structured to enable evaluation using validation techniques. as in any of the above requests characterized by the server (3) a system (1). 13 26. Pre-planned maintenance based on predicted data trends and potential risks. and characterized by the server (3) configured to provide upgrade recommendations. a system like any of the above-mentioned requests (1).

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