A SYSTEM AND METHOD FOR OPTIMIZING AND PLANNING FIELD TECHNICAL SERVICES.

Abstract

The invention relates to an integrated system for planning, managing, and optimizing field technical service processes. The system collects technician competency, location, and performance data in a central database, assigns tasks using machine learning algorithms, and optimizes tasks based on location and time constraints. Pre- and post-intervention visuals are analyzed using Vision Transformer (ViT) to evaluate the accuracy of the work. A blockchain infrastructure ensures the security and traceability of task, performance, and certification data. Field operations are dynamically managed with real-time notifications and route updates. The system supports GPS verification, image uploading, and data tracking via mobile devices. This leads to increased efficiency, quality control, and process automation.The system is a technical solution that manages all field operations, from task assignment and quality control to performance tracking and data security, in an integrated manner on a digital, AI-powered, and secure infrastructure.

Description

OPTIMIZATION AND PLANNING FOR FIELD TECHNICAL SERVICES A SYSTEM FOR DOING IT AND ITS METHOD Technical Area The invention relates to a computer and artificial intelligence-assisted system. More specifically, the invention... problems in job assignment processes for technicians working in field repair and maintenance It relates to a system developed to eliminate this problem. State of the Art Job assignment of technicians working in field repair and maintenance in the known state of the art. The processes are carried out manually. Manual workload, poor time management. The project process was prolonged due to this, and inconsistencies could not be identified. The inability to effectively manage prioritization and technician assignment processes, and the use of incorrect methods. This leads to problems such as wasted time and increased costs. Academic studies in the literature... When studies and existing patent applications are examined, it is seen that most systems are based on specific sub-components. It focuses on, but lacks an end-to-end, flexible, and learnable task assignment system. It is observed that the shortcomings in the current situation can be listed as follows. - Productivity Problems:  Existing field service management systems generally rely on manual processes. This relies on certain factors, which can be time-consuming and prone to errors.  Current systems optimize the skills and certifications of technicians. It is insufficient in matching in this way.  Existing systems control the entry and exit of technicians to the work site and insufficient for calculating the time required to complete projects It remains.  Providing developer training for technicians who are failing in existing systems And the analysis remains insufficient.  Current systems are inadequate for tracking tasks using image processing. It remains. - Incompatibility with Dynamic Environments:  Current systems are unable to adapt to real-time changes and unexpected events. It is inadequate in its ability to respond quickly. 1  Suitable for technicians' constantly changing work schedules and urgent work demands They are having difficulty making reassignments in this way. - The Effectiveness of Optimization Algorithms:  The algorithms used are generally basic, not complex. It does not have the capacity to solve optimization problems. - Although some studies in the literature have included heuristic and metaheuristic algorithms However, full integration of these algorithms into commercial systems is not widespread. - Data Integration and Analytics:  Existing systems generally utilize data analytics and machine learning techniques. They are unable to use it effectively.  Analyzing technicians' past performance data, assigning them using this information in decision-making and future predictions Functions such as finding a location are generally absent in existing systems. It does not receive. For the reasons mentioned, the development of systems that overcome these disadvantages is crucial. There is a need. Current systems only handle parts of processes such as route planning or scheduling. The focus is on the lack of an integrated and end-to-end task management approach. It is observed that these systems are also responsive to dynamic environmental conditions (urgent requests, task cancellations, traffic delays prevent rapid adaptation, and time window management is often problematic. It is treated statically. Most of the qualifications, such as the competencies and certifications of technicians... Time is being disregarded, which leads to errors in task-technician matching. The algorithms used are generally basic level and do not involve complex optimization. It does not have the capacity to solve its problems in terms of data security and traceability. The shortcomings are obvious; for example, solutions like blockchain technology are not included in existing systems. It does not include. Furthermore, modern approaches such as data analytics and machine learning also... It is not integrated enough. 2 Brief Description of the Invention One aim of the invention is to create a system that optimizes technician assignment and management processes. The goal is to improve. The invention is based on the skills, certifications, and experience of the technicians. It ensures that the most suitable assignments are made according to their performance and job requirements. This reduces manual workload and makes resource utilization more efficient. Another aim of the invention is to develop a system that improves time management and efficiency. Technician travel times are optimized using time windows and route optimization. Tasks are minimized, ensuring they are completed on time and in the most efficient way. Another purpose of the invention is to track technicians' entry and exit times in the field using GPS. to automatically verify and record with the system, digitize business processes and analyze The goal is to evaluate productivity by providing usable data. Additionally, the amount of money spent on each task... To determine standard work times by calculating the duration and optimize resource planning. that is the goal. Another aim of the invention is to develop a system that ensures data security and traceability. Thanks to blockchain technology, technician certifications and work processes are securely managed. This is being verified and made traceable. This increases the transparency of the processes and It prevents data from being altered. Furthermore, thanks to Blockchain technology, the task... Historical data such as performance and certifications are stored indefinitely, protecting the machine. It is used in learning with datasets, which ensures the continuous improvement of the model. Another aim of the invention is to provide real-time optimization and dynamic response capabilities. The goal is to develop a system using machine learning and optimization algorithms. To assign the most suitable personnel according to dynamic business demands and to prepare for unexpected situations. This ensures a quick response. This makes operational processes more flexible. It is coming. Another aim of the invention is to improve efficiency and customer satisfaction in field service management. The goal is to develop a system that enhances this through intelligent recommendation systems and accurate prediction of business demands. Technicians' workloads are balanced, and customer needs are met more quickly and effectively. is being met. 3 Another aim of the invention is to develop a system that provides performance and speed optimization. The system monitors and analyzes technician performance and accelerates work processes. This provides optimization, which in turn improves service quality. One aim of the invention is to integrate GPS and other technologies into mobile devices with a non-software-based architecture. encounters in field service management by interacting with physical equipment such as cameras Its purpose is to enable the resolution of technical problems through technical means. One purpose of the invention is to improve the physical position of technicians and the pre- and post-processing data collected from the field. visual data through machine learning, optimization and other algorithms The goal is to ensure that it is evaluated and produces tangible technical results in the real world. One of the aims of the invention is not just to create software that assigns tasks, but also to work in the field. physically monitoring, optimizing and digitally tracking the operational process The key is enabling it to offer a technical solution. Another aim of the invention is to reduce the manual workload in technician assignment processes. It is a verification. Another aim of the invention is to enable technicians to be better suited to jobs that match their certifications and skills. The goal is to ensure that it is appointed effectively. Another aim of the invention is to optimize time management in project processes. Its aim is to increase efficiency. Another purpose of the invention is to quickly detect inconsistencies with automated warning systems. its purpose is to ensure that it is done. Another aim of the invention is to automate data update processes. Its purpose is to increase its accuracy. Another aim of the invention is to make project prioritization processes more strategic and effective. The goal is to ensure that it is managed in this way. 4 Another aim of the invention is to securely store business and customer data using blockchain technology. The goal is to ensure its unchangeable protection. Another aim of the invention is to store all past data using blockchain technology, thereby protecting the machine. The goal is to ensure its use in education. Another aim of the invention is to make technician performance transparent and reliable on the blockchain. The goal is to ensure that it is monitored in some way. Another purpose of the invention is to predict past periods and regions where business demand will be high. Its purpose is to enable predictions based on data. Another purpose of the invention is to determine the optimal routes for field technicians using Geographic Information Systems. Determining and directing according to localized job requirements using (GIS). its purpose is to enable it to be done. Another purpose of the invention is to display before-and-after photos uploaded by technicians. Transformer (ViT) enables task tracking through analysis. Another aim of the invention is to analyze technician performance using Contrastive Learning. This ensures that developer training assignments are given to unsuccessful technicians. Another purpose of the invention is to address unexpected situations that arise during the day (traffic, emergencies). This allows routes to be dynamically rearranged accordingly. Another aim of the invention is to identify the existing occupational safety risks and field conditions for each technician. The goal is to enable the development of a module that evaluates this. Another aim of the invention is to save time by reducing manual control processes. is to ensure. Another aim of the invention is to evaluate technician performance based on objective data. Its purpose is to enable evaluation. Another purpose of the invention is to create standard timelines for projects and to manage resources. Its purpose is to ensure that planning is optimized. Another aim of the invention is to enable more effective business planning through productivity analyses. It is a verification. Detailed Description of the Invention The invention combines various technologies to optimize field technical service management. It is an integrated automation system where algorithms are brought together. The system is for technicians. to increase the efficiency of assignments, optimize business processes, and ensure data security and advanced algorithms to monitor field operations in real time It uses blockchain technology. The system in question, - a central server containing a database and running artificial intelligence algorithms, - by providing users with access to the system, they can track tasks, receive notifications, and access routing information. an interface that provides access, It includes. Technical details of all components of the invention, algorithmic structures, and the overall system. The process is explained as follows: Database: The server in question within the system contains information on the technicians' skills, certifications, It includes a central database that holds job requests and route information. The database includes the following main modules: Technician module: Technician credentials, certifications, skill levels, and The regions and locations where they work are kept in this module. Additionally, blockchain technology is used. This allows for verification of technician certifications and work history. This increases the transparency and reliability of technician information. For example, a technician's... They may have expertise in areas such as electrical installations and natural gas installations. In addition to this knowledge... The system also includes work the technician has previously completed and performance data from those jobs. It stores this data. Thus, in new job assignments, the system uses this data to select the most suitable person. 6 Tasks module: This module defines the tasks to be performed, including the type of work and required skills. The information provided includes details such as priority levels and time constraints for certifications. It also includes... The technician assigned to the job and the job's completion status are tracked via blockchain. This is monitored. For example, when a malfunction requiring urgent intervention is reported in an area, the system... This job is registered as an urgent priority. Then, the appropriate certifications and free time for this job are determined. The technicians who will be assigned are determined. After the assignment is made, it is checked whether the job has been completed or not. It is monitored via the module. Certificates module: Certificates held by technicians and the validity of these certificates. Their validity periods are included. Certificates are stored on the blockchain, ensuring verifiability and Security is ensured. For example, if a "High Voltage Authorization Certificate" is required for a job, The system automatically filters technicians who possess this document and whose certification is still valid. This prevents erroneous assignments and ensures secure working conditions. System Algorithms and Methods The system optimizes technician assignment, route optimization, and time management processes in the most efficient way. To achieve this, it uses the following optimization algorithms. Classification Algorithms (ML): Within the scope of the invention, technicians' certificates and experience machine for the purpose of evaluating various qualities such as duration and performance metrics. Classification algorithms based on learning are used. Thanks to these algorithms... Technicians' competency profiles are being developed and their suitability for job requirements is being assessed. They are detected automatically. This eliminates manual matching processes. By removing these, the accuracy of the assignment is increased. Multi-Label Classification (MLC): Technicians who have multiple areas of expertise. Based on the fact that this is possible, the invention involves multi-labeling-based classification. algorithms are used. Each technician has multiple certifications and It is modeled with skill, so the system equips each technician with a multidimensional set of attributes. This method can represent flexible and highly accurate task matching. It provides an opportunity. Constraint Heuristic Search: Invention, operational and logistical in technician-task assignments. heuristic search algorithms that allow constraints to be taken into account 7 It includes constraints such as task time windows and geographical distances. This includes the eligibility and certification requirements for technicians. Algorithms enable fast and effective solutions, even under numerous constraints. It is obtained in this way. Integration Priority Indicator (IPI): Grouping tasks geographically and temporally. The IPI algorithm that enables this data collection involves areas located within the same region or with overlapping time windows. It prioritizes tasks and assigns them to technicians. This method reduces travel times. This helps reduce time loss and optimize routes; thus, it also ensures both time management and This increases the system's efficiency in terms of resource utilization. BestFit Algorithm: During technician selection, the algorithm determines the most suitable candidate with the required qualifications for the job. The BestFit algorithm is used to determine the technician. This algorithm; Considering criteria such as certification suitability, experience level, current location, and immediate availability. Taking this into consideration, it automatically selects the technician best suited for the task. This approach improves service quality while preventing incorrect assignments. Real-time Distributed Systems Optimization: Within the scope of the invention, distributed systems architecture using real-time task assignment to technicians and simultaneous A task management module is implemented that enables notification sending. This system, while allowing tasks to be automatically distributed without operator intervention, Technicians receive real-time information through the notification system, enabling operational updates. Continuity is ensured. Real-time Weather & Location Data Processing: Discovery, weather conditions, traffic density and prioritization that analyzes environmental inputs such as location data in real time. This module determines the criticality and accessibility level of the tasks. By dynamically evaluating based on parameters, it optimizes the task sequence. and ensures the efficient use of resources. LSTM / XGBoost: Invention that enables the prediction of changes in task requirements over time. a hybrid prediction system that uses LSTM networks and XGBoost algorithms for this purpose It includes a module that allows for the prediction of workloads that may increase during certain periods. This is being done and resource planning is being optimized accordingly. 8 Transformers (ViT): Within the scope of the invention, before and during intervention by technicians The uploaded images are then analyzed via the ViT (Vision Transformer) model. This method allows the system to compare the initial state of the malfunction with the state after the repair. By making a comparative assessment between the two situations, it can be determined whether the process has been successfully completed. It can automatically detect that it is incomplete. This visual tracking process, work to ensure quality documentation and to handle both field audits and customer complaints It is used as an effective verification tool in evaluation. Contrastive Learning: In this invention, the aim is to analyze technician performance. A comparative learning-based model is being applied. This model results in high performance. characteristics of technicians who demonstrate these qualities and characteristics of low-performing technicians. It evaluates them comparatively. In this way, areas open to development are identified by the system. It is automatically detected and appropriate training is provided to low-performing technicians. The aim is to improve performance by assigning content. This will both enhance the service... both the quality is being improved and the efficiency of human resources is being systematically increased. It is being developed. Permissioned Blockchain: Invention, technician-related tasks, certifications, and performance. In order to ensure that data is stored securely, transparently and immutably, a permissioned blockchain where only authorized system components can write data It uses an infrastructure based on its architecture. This blockchain infrastructure provides data security and It optimizes system performance by increasing processing speed while maintaining privacy. Hyperledger Fabric / Quorum: Among the blockchain infrastructures proposed within the scope of the invention. Hyperledger Fabric and Quorum are among them. These platforms are particularly suitable for enterprise systems. It is designed for user authentication, smart contract management, and access. It offers a high level of security with features such as controls. Thanks to this, the system, Verification of technician certificates, monitoring of job start and end times, and Reliably performing critical functions such as storing customer feedback without alteration. It is carrying out. 9 System Flow The system developed within the scope of the invention handles technician assignments through an intelligent task management workflow. It automates and optimizes the process. The process takes into account the technicians' certifications, experience levels, and performance histories with machine learning-based classification algorithms (ML) It begins with analysis. Technicians with multiple areas of expertise need to be properly trained. The Multi-Label Classification (MLC) method is used to ensure representation, and Thus, each technician is modeled with a multidimensional competency vector. At this stage, furthermore, taking into account factors such as time windows, location restrictions, and certification requirements Thanks to Constraint Heuristic Search algorithms, the system can be implemented under constraints. It produces task solutions. The technician profiles resulting from this classification are then matched with the tasks. It includes the Integration Priority Indicator, which groups tasks spatially and temporally. This is done using the (IPI) algorithm. Then the BestFit algorithm comes into play, determining fitness. Based on the criteria (certification, experience, current location, etc.), it provides the best match. If If this algorithm does not yield satisfactory results, a more dynamic Genetic Algorithm (GA) can be used. An alternative matching option is created. Tasks are assigned to technicians not only statically but also in real time. tasks can be assigned within this scope, using the Real-time Distributed Systems Optimization infrastructure. The information is instantly forwarded to technicians and notifications are sent. Real-time Weather & Weather and traffic density analysis is performed thanks to the Location Data Processing module. Task priorities are automatically updated to improve transportation efficiency. The shortest and fastest route is determined using the Particle Swarm Optimization (PSO) algorithm. The system's predictive capabilities are supported by predictive analytics. LSTM and XGBoost Algorithms predict task demands by looking at historical data and allocate resources accordingly. Planning is done. At the same time, thanks to Self-Supervised Learning (SSL), technicians Personalized task suggestions are generated by analyzing past task performance. In the data processing process, the system works not only with text and numerical data, but also with images. Before and after photos uploaded by technicians on-site are available on Vision Transformer. Fault detection is performed by analyzing the (ViT) model. This allows for analysis before and after the procedure. The images are automatically compared, and the system confirms that the task has been successfully completed. It becomes verifiable. The system focuses not only on task assignment and tracking, but also on performance improvement. It also has a results validation mechanism. The Contrastive Learning algorithm has high... comparing the characteristics of high-performing and low-performing technicians It evaluates the system. Based on this evaluation, the system identifies its shortcomings. It automatically assigns appropriate training content to technicians. This allows for both individual development. This is both encouraged and improves the overall quality of service. The system is not just a software platform; it also includes mobile devices for field technicians. collecting physical data such as location, time, and visual data in the field and this a hardware-software integrated system that enables technical decision-making by processing data It offers a solution. Technician Tracking and Work Process Calculation Entry Confirmation: GPS-based location verification mechanism, when the technician arrives at the site It allows login to the system via a mobile device. During this process, GPS data is used. Using this method, it is checked whether the technician is at the job site. The specified location... If the coordinates match the technician's current location, approval to start work is given. If If the location information does not match the job site, the login request will be rejected and this will be recorded. It is received. During the onboarding process, the technician also uploads the initial visual representation of the job status to the system. This The image is analyzed by the ViT model, and the initial state of the failure is automatically determined. It is documented. Departure Confirmation: When a technician wishes to leave the job site, GPS data is used to confirm departure. It is confirmed that he / she has left the premises. The exit process also coincides with the end of working hours. According to the system, it goes through an automated control process. If these controls are successful, the exit process begins. It is approved and the departure time is recorded. Before departure, the technician provides information about the post-repair status. The system uploads the image. The system compares this new image with the previous one to determine the ViT model. This visual tracking system evaluates whether the process has been successfully completed. the process involves verifying the accuracy of the work done in the field by documenting the process. provides. 11 Time Calculation and Reporting: The time between the technician's arrival and departure times, in the field. It determines the total time spent. This time is broken down by job for reporting and analysis processes. This data is recorded. This collected data forms the standard time required for specific types of jobs. It helps in creating schedules. It also assists technicians in creating daily, weekly, and monthly reports. Their performance is analyzed in detail and their work efficiency is evaluated. This process... Thanks to the integrated ViT (Vision Transformer) model, technicians can work in the field. The visual success of the processes it performs is also reflected in time data. They are evaluated together. The images uploaded at the entrance and exit are analyzed by ViT. The visual integrity of the process is assessed to identify situations such as incomplete intervention or faulty repair. The time spent is considered together with the visual analysis result, resulting in a time-based approach. No, a quality-focused performance evaluation is ensured. GPS Integration: GPS-based location verification mechanism, assigned to the work site. It compares the coordinate data with the technician's current location. In this process, the job site Boundaries are defined using geo-fencing technology. The devices use GPS. Location accuracy is increased by optimizing sensitivity. Google uses this for mapping operations. Integration with APIs such as Maps or OpenStreetMap is provided, and the system's efficiency is improved. is increased. Database and Reporting: Technician entry and exit records and images, and time spent in the field. Duration and project information are stored in a central database. This data includes work durations and It is integrated with data analytics modules to process performance analyses. The system processes daily data. and has the capacity to generate project-based reports in PDF or Excel format. Reports can be easily shared. System Integration: Job site information assigned to technicians, GPS verification and registration. The data is transferred to the system. When the technician reaches the location of their assigned job, GPS verification is performed. The system is automatically controlled and access is granted via the base system. The exit process is the same. The process is verified and controlled based on the job end time, and then exit is enabled. This integration facilitates the job. assignments, time spent in the field, and productivity analyses in a single system. It allows for collection. 12 Data Security and Traceability with Blockchain Technology This system securely and transparently stores technicians' certification, task, and performance data. It uses permissioned blockchain technology for verifiable storage purposes. This The structure is a private blockchain where only authorized components of the system can add data. This is achieved with solutions that have an architecture like Hyperledger Fabric or Quorum. Each technician is represented by a digital identity defined on the blockchain. They possess... Certificates are stored immutably under this identity. The validity of the certificates is subject to the relevant regulations. The signatures created by the institutions make them verifiable. In this way, forgeries are not forged. The use of certificates would be completely prevented. Blockchain is used to keep a record of job assignments and completed work for technicians. Each assignment includes information such as the start and end times of the job and its location. This structure is recorded on the blockchain and becomes transparent and traceable. Thanks to this, business processes become auditable, and historical records cannot be deleted or It cannot be altered; objective data is presented in complaints and quality assessments. Customer feedback and complaints are recorded on the blockchain and integrated into the system. This makes it impossible to change. In this way, a transparent and customer-focused approach is achieved. A verifiable monitoring system is being established. Blockchain provides technicians with a secure way to store personal information, customer data, and business processes. This ensures that the data is stored securely thanks to the blockchain's encryption algorithms. It is protected. Data Visualization and User Interface Improvements Comprehensive Reporting module: Technician performance, certification updates, work the status of requests and routing performance and visual work analyzed with the ViT model Data such as the results are displayed using data visualization tools. ViT analyses As a result, the system displays successfully completed tasks, incomplete tasks, or other results. Categorizations such as failed jobs are visually verified by linking them to the relevant job record. It is presented in the administration panel along with its support. Decisions for management are made in the relevant module. Support panels are being created. 13 Geographic Information Systems (GIS) based maps module: Technician routes, assignment locations. And real-time locations are visualized on the map. This allows for better route planning and It provides traceability. Personalized interface: Customizable according to users' roles and job descriptions. The interface is accessible both via the web and through mobile devices. Mobile Technicians accessing the devices upload pre- and post-task images directly to the system. They can download and view the analysis results of the ViT model. Administrator and On the auditor's screens, the visual analysis results are displayed along with a timeline. The quality of technicians' work can be monitored over the long term. Notifications and Real-Time Updates Instant Notifications: The system sends notifications to technicians when job assignments are given or in emergency situations. It sends instant notifications. Urgent maintenance requests are processed quickly depending on field conditions. It is being created and immediately communicated to the appropriate technicians. In addition, the ViT model When an operation is classified as incomplete or failed in the analyses performed by An automatic notification is sent to the relevant manager or quality control unit. This ensures... Problems can be identified early, and rapid feedback mechanisms can be put into place. Dynamic Updates: Technician routes and job assignments are updated to reflect changing conditions in the field. It is updated in real time according to external factors such as traffic data, The tasks analyzed by the ViT model are also dynamically evaluated by the system, When an intervention that has failed needs to be replanned, the system does this. It can automatically add it to the suggestion list. The server in question is designed to execute these algorithms; - the nature of the tasks and the technicians' competencies, certifications, location and A machine that assigns tasks by analyzing performance histories. at least one assignment module based on learning, - at least providing optimization based on geographical and temporal data of tasks. a route planning module, - analysis of pre- and post-intervention images uploaded on-site by technicians by evaluating the accuracy of the operation, at least one image processing module, 14 - all task, performance and certification data transparently and immutably at least one data security system that stores data and integrates with a permissioned blockchain infrastructure. module, - a notification that delivers task assignments to mobile devices in real time, and update infrastructure It includes. The assignment module in question is designed to model multiple areas of expertise for technicians. It uses multiple labeling algorithms. However, the assignment module's specific Its functions are as follows: - By creating competency profiles for technicians and matching them to job requirements. Classification Algorithms (ML) to provide automatic and accurate matching. It is used. - Multidimensional, taking into account the technicians' multiple certifications and skills. Multi-Label allows for matching and flexible assignments. Classification (MLC) is used. - It uses the BestFit algorithm to determine the level of suitability for the tasks. - Constraint Heuristic Search for task-technician matching under constraints It uses this method. - Integration Priority Indicator for geographically grouping tasks. It uses the algorithm. - Route planning based on the shortest path using Particle Swarm Optimization. It optimizes using its algorithm. The image processing module in question is loaded by technicians before and after intervention. We are using the Vision Transformer model to analyze the images and the process is successful. It automatically assesses the rate. This data security module collects technicians' task, certification, and performance data. Storing data on a permissioned blockchain based on Hyperledger Fabric or Quorum, and It allows authorized system components to enter data. This forecasting module is designed to predict when task demands will be high and LSTM network and XGBoost algorithms are used together for resource planning. It is a hybrid module. The server in question uses a Contrative Learning algorithm for technician performance analysis. by using and identifying low-performing technicians and It automatically assigns appropriate training content. This location verification mechanism verifies the technician's entry and exit from the site. to ensure verification, with at least one GPS module running on the mobile device It operates in an integrated manner and utilizes geo-fencing technology. The invention includes a defined management interface; technician performance, task status and ViT analysis. It includes decision support panels that allow visual monitoring of the results. Planning, monitoring, analysis, and optimization of field technical service operations. an integrated field service management method structured to achieve this; - A collection of technicians' competency, location, performance, and certification data. collected in the database, - With information on task type, location, priority, and time window provided by the server. matching and classification - Server-side task-technician matching is machine learning based. implemented using algorithms, - Optimal route planning is performed by the server. - The server displays pre- and post-intervention images from the field using the ViT model. by analyzing and determining the accuracy of the task, - All transactions and data are recorded by the server on the blockchain infrastructure. ensuring security It includes the steps involved in the process. The server analyzes pre- and post-intervention images from the field using the ViT model. In the step of determining the accuracy of the task, the process is identified as failed. When this is done, the system is directed to the relevant administrator based on the ViT analysis results and historical transaction data. 16 An automatic notification is sent by the server regarding the rescheduling of the task. It is suggested that it be added to the job list. Technical Impact  The invention is not merely a software process; it addresses technical issues encountered in field service management. Hardware, location verification systems, and developed to solve problems. Artificial intelligence algorithms can technically identify real-world operational disruptions. It is a system that eliminates [the problem] through various means.  The system utilizes GPS, geo-fencing, ViT model, and blockchain-based verification. processes that it carries out using mechanisms and optimization algorithms, the processes of assigning, monitoring and verifying technicians working in the physical environment By performing the task without requiring human intervention, it saves time, cost, and improves quality. It provides optimization.  The system is not just a software platform; it also supports field technicians' mobile devices. collecting physical data such as location, time, and visual data in the field and this Hardware and software that enable technical decision-making by processing data. It offers an integrated solution.  Machine learning, multiple classification (MLC), heuristic search (Constraint Heuristic) Algorithms such as search and route optimization (PSO, GA) are purely software-based. It does not make assessments; it considers things like sequencing physical tasks and spatial-temporal compatibility. It solves technical problems.  Vision Transformer (ViT) model allows technicians to see before and after interventions. Analyzing the images visually confirms that the job has been physically completed successfully. By verifying with data, quality control based on human error can be transformed into a technical and automated process. It transforms into a process.  Thanks to the Permissioned Blockchain infrastructure, technician performance and task efficiency are improved. Its accuracy and data integrity can be monitored without being altered, and this makes the system It technically increases its transparency and security. Thus, the system is not only This has a technical impact not only on the process itself but also on post-processing data security. The invention is not limited to the above descriptions; a person skilled in the field can easily create the invention. It can present different applications. These are the claims of the invention and the protection sought. should be evaluated within this context. 17

Claims

1. Planning, monitoring, analysis, and optimization of field technical service operations. It is an integrated field service management system structured to perform, feature; - executed on a mobile device, allowing users to access task information, at least one user interface that enables data entry and receiving notifications, - Technician information, task details, time windows, and route data. at least one central database that stores, the nature of the tasks and the technicians' competencies, certifications, and location and assigns tasks by analyzing performance histories. at least one assignment module based on machine learning, Optimization based on geographical and temporal data of tasks. at least one route planning module that provides, pre- and post-intervention installations on-site by technicians. at least one image that evaluates the accuracy of the process by analyzing the images processing module, all task, performance and certification data transparently and immutably at least one data security system that stores data and integrates with a permissioned blockchain infrastructure. module, A notification that delivers task assignments to mobile devices in real time. and at least one server containing the update infrastructure It includes.

2. Planning, monitoring, analysis and performance of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is that it allows technicians to have multiple areas of expertise. assignment module that uses multiple labeling algorithms to model It includes.

3. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is that it creates competency profiles of technicians and assigns them tasks. 18 to automatically and accurately provide the best match with their requirements It includes an assignment module that uses Classification Algorithms (ML).

4. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system, the feature of which is that technicians have multiple certifications and skills. to be able to perform multidimensional matching and allow flexible assignments by taking these factors into consideration It includes an assignment module that uses Multi-Label Classification (MLC).

5. Planning, monitoring, analysis and performance of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose characteristic is to determine the degree of suitability for tasks. It includes an assignment module that uses the BestFit algorithm.

6. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is; for task-technician matching under constraints. The constraint is that it includes an assignment module that uses the Heuristic Search method.

7. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is Integration for geographically grouping tasks. It includes an assignment module that uses the Priority Indicator algorithm.

8. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is that it plans routes based on the shortest path. It includes an assignment module that optimizes using the Swarm Optimization algorithm.

9. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is that it is loaded by technicians before and after intervention. Using the Vision Transformer model to analyze images and processing success It includes an image processing module that automatically evaluates the aspect ratio.

10. Planning, monitoring, analysis and performance of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is; tasks, certifications and performance of technicians. data on a permissioned blockchain based on Hyperledger Fabric or Quorum 19 storing and allowing authorized system components to enter data It includes a data security module.

11. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is that it predicts times when task demands will be high. LSTM network and XGBoost algorithms for managing and planning resources It includes a server that has a hybrid prediction module used in conjunction with it.

12. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is; Contrastive analysis of technician performance. Using a learning algorithm, low-performing technicians identification and automatic selection of appropriate training content by the system. It includes a server that enables the assignment.

13. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose feature is the verification of the technician's entry and exit from the site. To provide this, it is integrated with at least one GPS module running on the mobile device. a location verification mechanism that works and uses geo-fencing technology It includes.

14. Planning, monitoring, analysis of field technical service activities in accordance with Claim 1. an integrated field service structured to perform optimization It is a management system whose features include technician performance, task status, and VIT analysis. a decision support panel that allows visual monitoring of the results It includes an administration interface.

15. Planning, monitoring, analysis, and optimization of field technical service operations. It is an integrated field service management method structured to achieve this, feature; - A collection of technicians' competency, location, performance, and certification data. collected in the database, - Information about the type, location, priority, and time window of the tasks provided by the server. matching and classification - Server-side task-technician matching based on machine learning. implemented using algorithms, - Optimal route planning is performed by the server. - The server provides pre- and post-intervention field visuals in the ViT model. by analyzing it and determining the accuracy of the task, - All transactions and data are recorded by the server on the blockchain infrastructure. ensuring security It includes the steps of the process.

16. Planning, monitoring, analysis of field technical service activities in accordance with Claim 15. an integrated field service structured to perform optimization It is a management method, characterized by its ability to act before and during field intervention by the server. The accuracy of the task is determined by analyzing the images afterwards using the ViT model. In the process step, when the process is detected as unsuccessful, the ViT analysis results and The system automatically sends a notification to the relevant administrator based on past transaction data. and to include the said task in the work list as a replanning proposal It is a verification. 21