Operation Ticket Research Articles

Graduation-inspired manufacturing system and synchronization mechanism for hybrid assembly cell lines

This paper presents an innovative flexible assembly system – hybrid assembly cell lines (HACL) to adapt to small batch, high product variety and dynamic demands. HACL provides specially designed trolleys for assembly operations, materials and tools to form the workstations flexibly and quickly at low reconfiguration cost. To conduct accurate and effective control for this complex assembly system, this paper presents a modified Graduation-inspired Manufacturing System (GMS), a recently proposed new card-based control system. GMS for HACL designs three kinds of tickets and the ticketing mechanism to absorb the uncertainties of HACL. Job tickets are for workload control and synchronization of part deliveries; setup tickets are for cell line formation and synchronization of resources of tools and machines; operation tickets are for production execution and synchronization of workers and operations in cell lines. GMS for HACL develops Internet of Things-enabled (IoT-enabled) architecture for managing the smart tickets to achieve automatic and intelligent interoperability between GMS and the physical workstations of HACL. This work designs synchronization mechanism based on specific model and genetic algorithm to synchronize manufacturing resources under GMS for HACL

Automatic generation method of power grid maintenance operation ticket based on GA-ANN optimization algorithm

The automatic generation method of power grid maintenance operation ticket based on the GA-ANN optimization algorithm is designed. An automatic generation model of power grid maintenance operation ticket, including data communication, power grid information topology, task planning, path search, path selection, operation ticket generation and simulation of rehearsal agent, is built. This paper takes the operation sequence generated by different equipment performing operation tasks as the training sample of the GA-ANN model, obtains the change rule of operation sequence of each equipment agent, and realizes the automatic generation of maintenance operation tickets for different equipment. It is verified by experiments that the time of automatic generation of operation tickets is fast and can complete the maintenance and invoicing of various equipment.

Substation Operation Sequence Inference Model Based on Deep Reinforcement Learning

At present, substation operation ticket system is developed based on an expert system, which has some problems such as knowledge base redundancy, intelligence deficiency and automatic learning ability. To solve this problem, this paper proposes an operation sequence reasoning model based on the knowledge base of the Neo4j knowledge graph and DuelingDQN (Dueling Deep Q Network) algorithm. Firstly, the diagram structure model of substation main wiring was established using the Neo4j knowledge graph. Based on the diagram structure model, the operable equipment set of the operation task was searched to form the task space, action space and action selection model of DuelingDQN. The reward and punishment function was designed based on the “five defense” rules and the state change of equipment. Make DuelingDQN model and Neo4j model interact in real time, and automatically learn the operation sequence. The test results show that the method proposed in this paper can automatically deduce the correct operation steps under different wiring modes and realize the transfer within the station, which is of great significance to the intellectualization of the operation ticket system.

Analysis of Substation Joint Safety Control System and Model Based on Multi-Source Heterogeneous Data Fusion

As the number of substations continues to increase globally and the market demand continues to rise, the current workload of maintenance and daily operation of substations in power grids cannot meet the current demand if only relying on manual work, and the design and implementation of intelligent safety control solutions for substations is imperative. Therefore, this paper proposes a joint safety control system and model analysis for substations based on multi-source heterogeneous data fusion. Firstly, a three-dimensional visualization substation efficient interactive operation platform is realized, which realizes the functions of substation scene roaming, system login, information management, equipment parameters, status viewing and operation ticket pushing; after that, a variety of intelligent hardware devices for data collection, such as multi-dimensional terminal sensors, intelligent wearable devices, intelligent pre-built positioning installation measure rod, and substation intelligent inspection robots are designed to greatly improve the substation inspection efficiency and realize real-time monitoring and data interaction in the inspection process. Finally, we propose an Attention-LSTM-based prediction model for substation multidimensional data, which can predict power equipment spatio-temporal data in the short term, and the prediction results can be combined with intelligent devices for joint diagnosis. The Attention-LSTM prediction model is well-trained in transformer oil temperature experiments, and the experimental results show that this model can provide early warning for the abnormal state of substation power equipment. In summary, this thesis describes a set of complete and practically feasible intelligent safety control methods for substations. The joint safety control system and model analysis of the substation based on multi-source heterogeneous data fusion designed in this paper is mainly oriented to the substation as an electric power workplace, which has quite a vast application prospect for energy equipment.

Research on Intelligent Anti-misoperation of Operation Ticket in Urban Distribution Network

The traditional anti-mischeck mode of regulation and control operation relying on the experience of dispatchers can no longer meet the needs of daily work. To solve the problems of poor actual operation effect and low anti-misoperation efficiency of the traditional anti-misoperation method due to the large number of tasks of the current distribution network, this paper optimizes the traditional anti-misoperation method and takes the distribution network of M power supply company as an example to design a new intelligent anti-misapplication method of operation ticket. First of all, this paper uses intelligent distribution network maintenance technology to overhaul the distribution network operation ticket application server in an all-round way. Based on real-time analytical constraints, combined with the power supply demand of urban distribution networks, this paper designs an intelligent anti-misoperation constraint mechanism for operation tickets. The experimental analysis shows that after the application of the proposed anti-error method, the qualified rate of the operation order scheduling tasks is more than 95. 6% and the error rate is less than 1. 1%, which shows that the anti-error method proposed in this paper has significant advantages and high feasibility.

Research of “one key sequence control” test method based on panoramic digital simulation technology

Aiming at the problem that the current “one key sequence control” system cannot effectively carry out the test work after being deployed in a substation project, a “one key sequential control” test method based on panoramic digital simulation technology is proposed. The actual primary and secondary equipment is replaced by digital analog simulation, the instanced sequential control operation ticket is completed based on professional atlas theory, and the full logic test of the “one key sequence control” equipment status configuration library, operation ticket configuration library, operation process, error prevention logic, dual criteria, etc., is completed so as to realize the visual test of all configurations of the “one key sequence control” system. It provides an efficient and reliable technical method for the testing and acceptance of the “one key sequential control” system.

Synchronization of production and delivery with time windows in fixed-position assembly islands under Graduation Intelligent Manufacturing System

The layout of fixed-position assembly islands (FPAI) offers flexibility and efficiency for the production of bulky or fragile products with medium variety and volumes. With the unique production operations and customized delivery requirements in FPAI, the manufacturing practitioners are plagued by long waiting times, frequent setups, and high finished product inventory levels, which are mainly caused by the unsynchronous organization and operations of production and delivery. For achieving synchronization of production and delivery with time windows in FPAI, this paper introduces a concept of production synchronization with three pillars of real-time visibility and information-sharing, coordination of decision-making and synchronized operations. Following the concept, a synchronization-oriented Graduation Manufacturing System (GMS) with distinct functional tickets, including job ticket (JT), setup ticket (ST), operation ticket (OT) and twined logistics ticket (LT) is designed to organize production operations in an integrated and synchronized manner in FPAI. The IIoT-enabled Graduation Intelligent Manufacturing System (GiMS) with real-time visibility and information-sharing is proposed for achieving real-time operational visibility in FPAI. Under GiMS, consider customer requirements and production constraints, a coordinated decision-making model of production and delivery with time windows for FPAI is developed. The observation and analysis of the case company show the effectiveness of the proposed concept and approach, with the highest synchronous degree between production and delivery as well as the best performance in simultaneity (lowest waiting times), punctuality (minimum number of tardy jobs) and cost-efficiency (lowest setup times).

Substation operation ticket system based on natural language analysis and intelligent reasoning

[Background/Reason] The operation ticket system is an important measure to ensure the safety of substation operation. At present, the issuance and review of substation operation tickets rely on manual operation knowledge and experience, and there are problems such as low work efficiency, lack of standardization, and human error. The risk of grid operation is reduced. [Method/Process] This paper proposes a substation operation ticket system based on natural language analysis and intelligent reasoning. It uses typical/standard operation tickets as the basic corpus and builds a natural language analysis model based on manual labeling to achieve compliance with the operation tickets. Sexual inspection, deduction and comparison of equipment status. Finally, combining the primary wiring diagram of the substation and the operation ticket to construct the equipment relationship knowledge map and the equipment operation knowledge map, use the Neo4j graph database for storage, and realize the intelligent drafting of operation tickets based on the graph search method. [Results/Conclusions] The research results have been implemented and applied in three substations in a certain area, verifying that the system has a high degree of intelligence and versatility, and can effectively solve the existing problems of standard invoicing and audit errors, and improve operation The work efficiency of personnel and the safety control level of power grid substation operation.

Simulation of Switching Operation Based on Virtual Reality Method

Misoperation of power system switching causes many equipment failures and personal injuries every year. The switching operation simulation system is an important “five prevention” measure to ensure the correctness of operation tickets and prevent electrical misoperation. Based on the virtual reality method, the paper discusses the application of 3D simulation technology in high and low voltage trip operation, and analyses the function, structure and main technical scheme of 3D simulation training system for high and low voltage trip operation according to the particularity of standardized operation training. Finally, the idea of the future development of the three-dimensional simulation training system for high and low voltage trip operation is put forward.

Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands

Abstract The layout of fixed-position assembly islands is widely used in the heavy equipment industry, where the product remains at one assembly island for its entire assembly period, while required workers, equipment, and materials are moved to the island according to the assembly plan. Such layout is not only suitable for producing bulky or fragile products, but also offers considerable flexibility and competitive operational efficiency for products with medium variety and volumes. However, due to inherent complexity of the product, sophisticated assembly operations heavily rely on skilled operators, and the complexity and uncertainty are high and amplified by such massive manual interventions as well as the unique routing patterns of the fixed-position assembly process. Aiming at reducing the complexity and uncertainty, this paper introduces a digital twin-enabled Graduation Intelligent Manufacturing System (DT-GiMS) for fixed-position assembly islands. Inspired by the success of graduation ceremony, an assembly system-Graduation Manufacturing System (GMS) is proposed for fixed-position assembly islands, in which job tickets, setup tickets, operation tickets, and logistics tickets are designed to organize the production activities. Following the concept of digital twin, unified digital representations with appropriate sets of information are created at object level, product level, and system level, respectively. Through Internet of Things (IoT), smart gateway, Web 3D and industrial wearable technologies, vital information including identity, status, geometric model, and production process can be captured and mapped in physical space, and converged and synchronized with their digital representations in twin (cloud) space on a real-time basis. The overall framework of DT-GiMS is presented with physical layer, digital layer, and service layer. Real-time convergence and synchronization among them ensure that right resources are allocated and utilized to the right activities at the right time with enhanced visibility. Considering customer demand and production capacity constraints, real-time ticket pool management mechanisms are proposed to manage production activities in a near-optimal way under DT-GiMS. With the support of cloud-based services provided in service layer in DT-GiMS, managers could easily make production decisions, and onsite operators could efficiently complete their daily tasks with nearly error-free operations with enhanced visibility. A demonstrative case is carried out to verify the effectiveness of the proposed concept and approach.

A Power Operation Site Safety Assistant System Based on Convolutional Neural Network

Field operation safety is the key to the safety production of electric power enterprises. The current safety supervision of on-site work mainly relies on the management regulations. In lack of efficient, reliable and intelligent technical means, the management personnel have to supervise and inspect safety procedure on-site. In order to solve the high cost problem of on-site safety management, an intelligent auxiliary system based on deep learning convolutional neural network is proposed in this paper. The system mainly includes three parts: The portable terminal of operation ticket, AI data recorder and neural network calculation unit. It can realize real-time detection of on-site violations during power grid operation. The deep learning AI method is innovatively introduced into the field of safety supervision of power work site, and it provides a new intelligent way of safety supervision.

Graduation manufacturing system: synchronization with IoT-enabled smart tickets

In the context of card-based control systems (CCSs), simple and effective control for hybrid flow shop are lacking. This paper aims at filling the gap by presenting a new CCS—graduation manufacturing system (GMS) by analogy to the ticket queuing system of graduation ceremony. Firstly, three kinds of tickets, namely the job tickets (JTs), setup tickets (STs) and operation tickets (OTs) are designed for controlling work in process, setup and preventing disturbances respectively. Secondly, to realize the automatic data collection and material flow control, internet of things-enabled smart gateways and smart tickets are developed. The smart gateways and smart tickets work together to automatically generate, dispatch and use the three kinds of tickets. Thirdly, mobile cloud services for scheduling and execution are presented to provide the real-time mobile visibility, facilitate decision-making for supervisors and daily operations for workers. Finally, mechanisms and scheduling methods for optimizing the production synchronization are proposed under GMS.

A novel design framework for smart operating robot in power system

This paper proposes the concept and framework of smart operating system based on the artificial intelligence U+0028 AI U+0029 techniques. The demands and the potential applications of AI technologies in power system control centers is discussed in the beginning of the paper. The discussion is based on the results of a field study in the Tianjin Power System Control Center in China. According to the study, one problem in power systems is that the power system analysis system in the control center is not fast and powerful enough to help the operators in time to deal with the incidents in the power system. Another issue in current power system control center is that the operation tickets are compiled manually by the operators, so that it is less efficient and human errors cannot be avoided. Based on these problems, a framework of the smart operating robot is proposed in this paper, which includes an intelligent power system analysis system and a smart operation ticket compiling system to solve the two problems in power system control centers. The proposed framework is mainly based on the AI techniques, especially the neural network with deep learning, since it is faster and more capable of dealing with the highly nonlinear and complex power system.

The Application of Dispatch Operation Ticket System Based on Intelligent Anti-Misoperation Method

As an effective means to reduce or eliminate power accidents, dispatch operation ticket system has gained more and more concerns and application. The existing dispatch operation ticket system is most based on logic rules, and strongly relying on network topology, which is hard to be extended. In view of the above mentioned problem, a new power grid dispatch operation ticket system based on intelligent anti-misoperation method is designed in this paper. First, the overall architecture of dispatch operation ticket system is introduced. Then, the regulations of anti-misoperation are analyzed in detail. And the typical anti-misoperation procedure is provided. Finally, the application and realization of the system is clarified from both hardware configurations and software programming.

The Intelligent Terminal Design for Integrated Substation Auxiliary System

The integrated substation auxiliary system is a project composed by software and hardware to help operators of a substation carry daily maintain works. The intelligent terminal is the key part of the system and it provides important UI and communication functions for the user. Smart phones can achieve higher bandwidth data communication, and at the same time can carry Bluetooth communication, video call, multimedia display and other functions. Smart phone is a potential common platform, suitable for the deployment of substation integrated auxiliary system terminal. Based on the Android Smart phone platform, this paper develops intelligent client-side software for the integrated substation auxiliary system and it can realize the operation ticket control, the video call, the substation map display and other functions. This client-side software has been applied in practice, and has gained good effects.

The Application of Expert Systems to Writing Operation Tickets of a Substation

In this paper, the principle of expert systems is described, it has been applied to writing operation tickets at Tieling Substation of North-east China Electric Network. This expert System can be taught and adapted conveniently.