Methods and systems for mapping and evaluating communication indicators for typical power grid business scenarios

Abstract

This invention belongs to the field of communication networking technology and discloses a method and system for mapping and evaluating communication indicators for typical power grid business scenarios. Based on the Delphi iteration multi-standard converged communication technology and the multi-objective adaptation method for typical power services, this invention can achieve a reasonable adaptation between the needs of typical power services and multi-standard converged communication technologies. It provides theoretical and technical support for building a converged communication network that meets the needs of typical power services, and has performance advantages such as comprehensiveness, versatility, and operability. In terms of comprehensiveness, it adapts the needs of typical power services to satellite communication technology from both technical and economic dimensions, considering both technical business requirements and economic constraints, resulting in a more comprehensive selection of adaptation indicators. In terms of versatility, it extracts common indicators for different business needs and application scenarios, adapting to various application scenarios, business types, and communication technologies, making the adaptation method more universal.

Description

Technical Field

[0001] This invention belongs to the field of communication networking technology, and in particular relates to a method and system for mapping and evaluating communication indicators for typical power grid business scenarios. Background Technology

[0002] With the continuous development of various communication standards, such as 3G, 4G, 5G, WIFI, satellite communication, and MESH networking, suitable communication technologies are an important foundation for supporting business transmission and ensuring the safe and reliable operation of the power grid. However, the coexistence of multiple networks presents many challenges in supporting various power grid business scenarios. In some areas, the mountainous and forested areas have extensive coverage, and there are many signal blind spots and power lines, making it difficult to provide effective communication support for typical business scenarios such as online monitoring of power lines, tunnel transmission maintenance, and drone inspections. First, the emergency communication system is inflexible. Wireless signal coverage along some power grid transmission lines is poor, making it impossible to guarantee the real-time and reliable transmission of on-site information in the event of natural disasters or other emergencies. This results in the inability to effectively transmit data from autonomous inspections (such as drone-based precision inspections) in areas with no or weak signal. Second, operator signals cannot cover areas such as tunnels and deep forests, making voice communication difficult for personnel along power transmission lines and making it impossible to determine the real-time status of personnel. Third, it is difficult for inspection drones to establish a stable communication link with the controller, making it impossible to obtain drone flight status and inspection information in real time, and drone disconnection is frequent. Fourth, there is a lack of heterogeneous communication networking methods that can be flexibly switched, which greatly increases the probability of single or failed emergency communication methods in emergency situations.

[0003] There is an urgent need to establish an indicator mapping and evaluation model for typical power grid business and communication indicators, analyze the multi-dimensional differences in various business scenarios, and construct a mapping model for demand-oriented business and communication indicators. This will help to create a converged network with higher security and reliability, stronger transmission capabilities, and wider coverage.

[0004] Multi-attribute index mapping evaluation models are common evaluation methods. The basic algorithm for multi-attribute decision-making is based on a single information source, such as the simple weighting method. Multi-attribute comprehensive methods, on the other hand, take into account information from multiple sources to solve more complex decision-making problems, such as the analytic hierarchy process (AHP) and the grey relational analysis algorithm.

[0005] a) Simple weighted method

[0006] Simple weighted methods, including weighted sum and weighted product methods, are based on a single information source and are the most widely used multi-attribute decision-making methods. In the weighted sum algorithm, the utility of each candidate solution is determined by the weighted sum of all its attribute values. The utility value of each solution is obtained by summing the scores of each attribute value and its weight for each candidate solution, and the candidate solution with the highest utility value is the selected target solution.

[0007] b) Analytic Hierarchy Process

[0008] The Analytic Hierarchy Process (AHP), proposed by American operations researcher Saaty in the 1970s, is a multi-objective analysis method that combines qualitative and quantitative approaches. AHP is a decision-making method based on multiple information sources, using a hierarchical structure to solve complex multi-attribute decision problems. The AHP algorithm can decompose the decision problem into multiple subproblems through a hierarchical structure, assign a weight to each subproblem, and compare the relativity and consistency between attributes at each level in pairs. The algorithm typically consists of four steps: establishing a hierarchical structure model, constructing a comparison decision matrix, calculating relative weights and consistency checks, and calculating the combined weights of each level.

[0009] c) Grey relational analysis method

[0010] Grey relational analysis is a multi-attribute decision method based on grey system theory. This method uses the information provided by the grey system to determine the grey relationship between influencing factors through comparative analysis, and makes grey decisions based on the grey relational level to select the best solution.

[0011] Considering the application scenarios of this invention, the indicator mapping and evaluation model for typical power grid operations still has the following problems:

[0012] The compatibility between networks and power services directly affects the real-time performance and reliability of these services. This compatibility includes factors such as service bandwidth, end-to-end latency, reliability, and network throughput. Therefore, analyzing the compatibility between power services and converged communication networks requires considering multiple dimensions of the performance indicators of the analyzed objects. This leads to the adoption of a multi-attribute decision-making method based on multi-attribute utility theory. This method normalizes the weights of various attributes, uses the utility functions of these attributes as evaluation indicators, and selects the optimal solution based on the utility values.

[0013] Due to the diversity of power business types, the time-varying nature of wireless communication environments, and the complexity of multi-standard converged communication technologies, it is necessary to study the adaptability of differentiated typical power business scenarios with multi-standard converged communication technologies.

[0014] Based on the above analysis, the problems and shortcomings of the existing technology are as follows:

[0015] (1) The emergency communication system is inflexible, the wireless signal coverage along some power transmission lines is poor, and the real-time and reliability of on-site information transmission in the event of natural disasters or other emergencies cannot be guaranteed, resulting in the inability to effectively transmit data from autonomous inspections (such as drone-based fine inspections) in areas with no or weak signals.

[0016] (2) In areas such as tunnels and deep forests, the operator's signal cannot cover the area, making it difficult for personnel to communicate via voice on power transmission lines and making it impossible to determine the personnel's work status in real time.

[0017] (3) The inspection drone has difficulty establishing a stable communication link with the controller, the drone's flight status and inspection information cannot be obtained in real time, and the drone frequently loses contact.

[0018] (4) The lack of a heterogeneous communication networking method that can be flexibly switched leads to a high probability of single or failure of emergency communication methods in emergency situations. Summary of the Invention

[0019] To address the problems existing in the prior art, this invention provides a method and system for mapping and evaluating communication indicators for typical power grid business scenarios.

[0020] This invention is implemented as follows: a method for mapping and evaluating communication indicators for typical power grid business scenarios, comprising:

[0021] Step 1: Familiarize yourself with the business characteristics and network requirements of three typical business scenarios: power emergency communication, drone-based refined inspection of weak signal areas, and personnel status detection in deep forest tunnels, including speed, packet loss rate, and latency, and define them with reference to relevant standard documents;

[0022] Step 2: Construct a multi-dimensional adaptability index system for multi-standard converged communication technologies and typical power services;

[0023] Step 3: Calculate the sub-index adaptation weights based on Delphi iteration.

[0024] Furthermore, the business characteristics and network requirements of the three typical business scenarios—power emergency communication, UAV-based refined inspection in weak signal areas, and personnel status detection in deep forest tunnels—including rate, packet loss rate, and latency, are defined with reference to relevant standard documents:

[0025] (1) Business requirements analysis of typical power business scenarios;

[0026] (2) Analysis of network indicators for multiple communication standards;

[0027] (3) Normalization of attributes.

[0028] Furthermore, the network indicators of the various communication standards are analyzed:

[0029] 1) Technical specifications;

[0030] 2) Economic indicators.

[0031] Furthermore, the technical specifications are as follows:

[0032] End-to-end latency:

[0033] Average latency is the average end-to-end latency of all nodes in the application layer of the network, and it is calculated using the following formula;

[0034]

[0035] Where N represents the number of packets successfully transmitted, rt i Indicates the time it takes for the packet to arrive at the destination node, st i Indicates the time when the group was generated;

[0036] Packet loss rate:

[0037] Packet loss rate N refers to the total number of messages during the message transmission process, and D refers to the number of data messages lost during the transmission process;

[0038] Transmission rate:

[0039] Given the success probability Pn and the number of active nodes n, the transmission rate can be expressed by the following formula:

[0040]

[0041] Average throughput refers to the number of packets successfully received by a node at the application layer per unit of time; it is expressed in bits per second.

[0042] Coverage area: The coverage area is generally a circular area, and the size of the coverage area is indicated by the radius of the coverage area.

[0043] Furthermore, the aforementioned economic indicators:

[0044] Network deployment cost:

[0045] Network deployment cost refers to the cost required to build a communication system that can achieve end-to-end signal transmission, including communication equipment cost, media cost, installation cost, and operation and maintenance cost;

[0046] Traffic cost:

[0047] Traffic cost refers to the expense incurred when transmitting data from one terminal to another using a certain communication standard, including transmission cost, storage cost, and business management cost.

[0048] Furthermore, the normalization of the aforementioned attributes:

[0049] N represents the number of communication standards, M represents the number of network indicators, and q ij Let n be the value of the above evaluation index. ij These are the normalized attribute values;

[0050]

[0051] For performance indicators, including signal rate, signal coverage, and reliability:

[0052]

[0053] For cost-related metrics, including packet loss rate, end-to-end latency, cost, and expenses:

[0054]

[0055] Another objective of this invention is to provide a communication indicator mapping and evaluation system for typical power grid business scenarios, comprising:

[0056] The business characteristics module is used to familiarize oneself with the business characteristics and network requirements of three typical business scenarios: power emergency communication, drone-based refined inspection of weak signal areas, and personnel status detection in deep forest tunnels. These include speed, packet loss rate, and latency, which are defined with reference to relevant standard documents.

[0057] The indicator system construction module is used to construct a multi-dimensional adaptability indicator system for multi-standard converged communication technologies and typical power businesses;

[0058] The weight calculation module is used for sub-index adaptation weight calculation based on Delphi iteration.

[0059] Another object of the present invention is to provide a computer device, the computer device including a memory and a processor, the memory storing a computer program, the computer program being executed by the processor causing the processor to perform the steps of the communication indicator mapping and evaluation method for typical power grid business scenarios.

[0060] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the communication indicator mapping and evaluation method for typical power grid business scenarios.

[0061] Another objective of this invention is to provide an information data processing terminal, which is used to implement the communication indicator mapping and evaluation system for typical power grid business scenarios.

[0062] Based on the above technical solutions and the technical problems solved, please analyze the advantages and positive effects of the technical solution to be protected by this invention from the following aspects:

[0063] First, the multi-standard converged communication technology based on Delphi iteration and the multi-objective adaptation method for typical power services can achieve a reasonable adaptation between the needs of typical power services and multi-standard converged communication technologies. This provides theoretical and technical support for building a converged communication network that meets the needs of typical power services, and has performance advantages such as comprehensiveness, versatility, and operability. The specific details are as follows:

[0064] In terms of comprehensiveness, this approach adapts typical power industry business needs to satellite communication technology from both technical and economic dimensions. It considers both technical requirements and economic constraints, resulting in a more comprehensive selection of adaptation indicators. Regarding universality, common indicators are extracted for different business needs and application scenarios, making it adaptable to various application scenarios, business types, and communication technologies, thus providing a more universal adaptation method. In terms of operability, the analytic hierarchy process (AHP) is used to decompose the adaptation indicators, while Delphi iteration is employed to calculate the indicator weights. This method is mature, has low complexity, and is highly operable.

[0065] Considering the differences between the subjective and objective aspects of the indicator system, the Analytic Hierarchy Process (AHP) based on Delphi correction is adopted to determine the indicator weights. The AHP is an objective method, while the Delphi method, which fully utilizes expert experience, is a subjective method. This approach combines the advantages and disadvantages of both subjective and objective methods, compensating for the shortcomings of a single method and ensuring that the weight indicators are scientifically sound and reasonable.

[0066] Second, the technical problems of the prior art that this invention solves mainly include the following aspects:

[0067] 1. Lack of communication indicator mapping and evaluation standards for typical power grid business scenarios: Existing communication indicator mapping and evaluation methods often fail to fully consider the special characteristics and complexity of typical power grid business scenarios, such as the real-time requirements of power emergency communication, the signal stability requirements of drone inspections in weak signal areas, and the reliability requirements of personnel status detection in deep forest tunnels. Therefore, there is a lack of a method that can accurately map and evaluate indicators for these business scenarios.

[0068] 2. Compatibility Issues of Multi-Standard Converged Communication Technologies with Typical Power Industry Services: With the continuous development of communication technologies, the application of multi-standard converged communication technologies in power grids is becoming increasingly widespread. However, how to effectively adapt these technologies to typical power grid services and ensure that communication indicators meet service requirements is an urgent problem to be solved.

[0069] 3. Subjectivity and uncertainty in indicator weight calculation: In the process of mapping and evaluating communication indicators, the determination of indicator weights often relies on the experience and judgment of experts, resulting in significant subjectivity and uncertainty. This leads to inaccurate and unfair evaluation results.

[0070] This invention has achieved significant technological progress through the following means:

[0071] 1. A communication indicator mapping and evaluation system for typical power grid business scenarios has been constructed: This invention constructs a complete communication indicator mapping and evaluation system for typical business scenarios such as power emergency communication, refined UAV inspection in weak signal areas, and personnel status detection in deep forest tunnels. By deeply analyzing the business characteristics and network requirements of these business scenarios and combining relevant standard documents, key indicators such as rate, packet loss rate, and latency have been defined, achieving accurate characterization of the business scenarios.

[0072] 2. A multi-dimensional adaptability index system for multi-standard converged communication technologies and typical power grid services is proposed: This invention innovatively constructs a multi-dimensional adaptability index system to effectively correlate multi-standard converged communication technologies with typical power grid services. Through this index system, the applicability and performance of different communication standards in power grid services can be comprehensively evaluated, providing strong support for the selection and optimization of communication technologies.

[0073] 3. A Delphi iteration-based sub-index adaptation weight calculation method is adopted: To overcome the subjectivity and uncertainty in traditional index weight calculation, this invention introduces a Delphi iteration-based sub-index adaptation weight calculation method. This method, through multiple iterations and expert feedback, gradually approximates the true index weights, improving the accuracy and objectivity of the evaluation results.

[0074] In summary, this invention solves the problems existing in the prior art and achieves significant technological progress by constructing a communication indicator mapping and evaluation system for typical power grid business scenarios. This not only helps improve the reliability and efficiency of power grid communication, but also provides strong support for the intelligent and refined development of power grid services.

[0075] Third, the technical solution of this invention fills a technological gap in the industry both domestically and internationally:

[0076] Typical business scenarios such as power emergency communication, precision drone inspection in areas with weak signal coverage, and personnel status monitoring in deep forest tunnels have their own unique communication needs and challenges. For example, power emergency communication requires high reliability and anti-interference capabilities, precision drone inspection in areas with weak signal coverage requires wide coverage and stable signals, while personnel status monitoring in deep forest tunnels requires communication technologies with strong penetration capabilities. Establishing a communication indicator mapping system can better quantify and evaluate the communication needs in these scenarios, and provide targeted technical solutions.

[0077] The technical solution of this invention solves a technical problem that people have long desired to solve but have never been able to successfully address:

[0078] Guided by the evaluation system of this invention, new communication technologies can be validated and optimized in different application scenarios. For example, for personnel status detection in deep forest tunnels, the system can assess which communication technology performs best in terms of penetration and reliability; while in the field of power emergency communication, suitable communication technologies can be selected and optimized according to the requirements of communication indicators. Furthermore, the evaluation system of this invention can promote innovation in communication architecture. For example, in the precise inspection of drones, a communication architecture that works in conjunction with ground base stations may be needed, while in power emergency communication, the deployment of temporary communication networks may be required. These architectural innovations contribute to achieving more flexible and effective communication solutions.

[0079] Fourth, the communication indicator mapping and evaluation method for typical power grid business scenarios provided by this invention mainly addresses the problem of effective mapping and evaluation of communication indicators in power grid business scenarios. Specifically, it proposes a systematic communication indicator mapping and evaluation method for typical business scenarios such as power emergency communication, refined UAV inspection in weak signal areas, and personnel status detection in deep forest tunnels.

[0080] First, this method collects business characteristics and network requirements data under different business scenarios through a data collection module, such as rate, packet loss rate, and latency. This helps to gain a deeper understanding of the specific needs and network performance of various business scenarios.

[0081] Secondly, a multi-dimensional adaptability index system based on multi-standard converged communication technology and typical power services should be constructed. This system includes multiple dimensions such as signal strength, network stability, coverage, and cost-effectiveness, which can comprehensively evaluate the applicability of communication technology in different business scenarios.

[0082] Then, the Delphi iteration method is used to calculate the appropriate weights for the sub-indicators. Through expert consultation, feedback collection, and iterative adjustments, the weights of each sub-indicator are ensured to be reasonable and in line with actual needs.

[0083] Furthermore, the specific operations of the data collection module also demonstrate the method's refinement and systematization. It not only analyzes the specific needs of business scenarios but also collects data from various communication network standards and performs normalization processing to improve the accuracy and applicability of the evaluation method.

[0084] This invention addresses several problems existing in current technologies. First, it provides a systematic method for mapping and evaluating communication metrics, facilitating accurate assessment of the performance of different communication technologies in power grid service scenarios. Second, by collecting and normalizing data from multiple communication network standards, data from different sources and types can be evaluated and compared under the same standard, improving the accuracy and objectivity of the evaluation. Finally, the implementation of this method helps improve communication quality and efficiency in power grid service scenarios, thereby promoting technological advancements in industrial applications.

[0085] In summary, this invention has achieved significant technological progress in the mapping and evaluation of communication indicators in power grid business scenarios, providing strong support for the application of communication technologies in the power industry. Attached Figure Description

[0086] Figure 1 This is a flowchart of a communication indicator mapping and evaluation method for typical power grid business scenarios provided in an embodiment of the present invention.

[0087] Figure 2 This is a diagram of an emergency communication service scenario provided in an embodiment of the present invention.

[0088] Figure 3 This is a diagram illustrating the compatibility analysis method for multi-standard converged communication technology and power services provided in this embodiment of the invention.

[0089] Figure 4 This is a structural block diagram of a communication indicator mapping and evaluation system for typical power grid business scenarios provided in this embodiment of the invention.

[0090] Figure 5 This is a schematic diagram of a multi-standard converged communication terminal provided in an embodiment of the present invention.

[0091] Figure 6 This is a graph showing the normalized values ​​of the communication effects of various communication standards provided in the embodiments of the present invention. Detailed Implementation

[0092] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0093] The communication indicator mapping and evaluation method for typical power grid business scenarios provided in this invention includes two specific industrial application examples. These examples illustrate how to apply this method to specific power grid business scenarios to ensure that the communication solution meets the high standards of business requirements. The following are the two examples:

[0094] Example 1: Power Emergency Communication

[0095] Following natural disasters such as hurricanes or earthquakes, there is often a need to quickly restore damaged power systems. Emergency communications are crucial in this scenario, requiring the ability to operate reliably under extreme conditions.

[0096] 1. Data Collection: First, analyze the specific needs of emergency communications, with a particular focus on high reliability and rapid deployment capabilities. Collect performance data of various communication standards (such as satellite communication, LTE, 5G, etc.) under similar extreme conditions, including signal strength, stability, and coverage.

[0097] 2. Indicator System Construction: Establish a multi-dimensional adaptability indicator system, emphasizing network stability and broad coverage. These indicators are particularly important in areas experiencing power outages or severe infrastructure damage.

[0098] 3. Weighting: Using the Delphi method, together with experts in disaster response and power system recovery, the weights of each indicator are determined to ensure that the weights reflect the actual importance of communications in disaster response.

[0099] 4. Evaluation and optimization: Analyze the collected data and models, assess the compatibility of various communication technologies, and optimize communication strategies to improve emergency response efficiency.

[0100] ###Example 2: Refined UAV Inspection of Weak Signal Areas

[0101] In remote or terrain-challenged areas, such as mountainous regions or near large dams, drones are used for detailed inspections of power lines. These areas often have weak signals and require advanced communication technologies.

[0102] 1. Data Collection: Analyze key communication performance parameters required for drone inspections, such as real-time data transmission rate, packet loss rate, and latency. Collect performance data of various communication technologies, including LTE, 5G, and LoRa, in similar geographical environments.

[0103] 2. Indicator System Construction: When constructing the indicator system, special emphasis is placed on the real-time performance of the network and the signal penetration capability, which is crucial for remote areas or areas with severe terrain obstacles.

[0104] 3. Weighting: By collaborating with UAV operation experts and communication technology experts using the Delphi method, appropriate weights for metrics such as rate, packet loss rate, and latency are determined.

[0105] 4. Evaluation and selection of the best solution: Based on the established indicator system and weights, assess the adaptability of different communication technologies and select the most suitable communication technology for UAV precision inspection.

[0106] These two examples demonstrate how to apply communication metric mapping and evaluation methods to specific power grid business needs and scenarios, thereby ensuring the effectiveness and efficiency of communication solutions. This approach makes power system operation safer, more reliable, and adaptable to various complex and challenging environments.

[0107] like Figure 1As shown in the figure, the communication indicator mapping and evaluation method for typical power grid business scenarios provided by this embodiment of the invention includes the following steps:

[0108] S101: Familiar with the business characteristics and network requirements of three typical business scenarios: power emergency communication, drone-based refined inspection of weak signal areas, and personnel status detection in deep forest tunnels, including speed, packet loss rate, and latency, and define them with reference to relevant standard documents;

[0109] Step 1.1: Business Requirements Analysis for Typical Power Business Scenarios

[0110] I. Speed ​​Requirements

[0111] 1. Emergency communication service scenarios

[0112] In the event of natural disasters or other unforeseen circumstances, some base station equipment in the network may be damaged or malfunction. Even if a base station is available, deteriorating channel conditions or a sharp increase in traffic can prevent many mobile terminals from accessing it. In such cases, comprehensive utilization of on-site emergency communication can be considered. In emergency communication scenarios, to address situations where damage to power transmission lines or substations leads to power outages at public network operator base stations, causing localized public network signal interruptions, multi-standard converged communication technology is employed to enable remote access to internet signals at emergency sites and frontline command centers. This restores signal coverage at power emergency repair sites and facilitates information exchange between emergency sites and emergency command centers at all levels. There are four sub-application scenarios: emergency site video transmission, data access, and voice communication. For example... Figure 2

[0113] 2. High-precision inspection scenarios using drones

[0114] In the scenario of refined inspection of power transmission lines by drones, multi-standard converged communication technology is used to establish communication links for remote lines in areas without signal coverage, enabling two-way voice, video and data transmission. This mainly includes two sub-scenarios: line status information monitoring and line inspection data feedback.

[0115] 3. Personnel Status Monitoring Scenario in Deep Forest Tunnels

[0116] In environments such as deep forest tunnels, various safety risks exist, such as accidents and illnesses. Utilizing multi-standard converged communication technology, by monitoring personnel's physiological state, abnormalities can be detected promptly, and corresponding measures can be taken to ensure personnel safety and assist in the comprehensive assessment of emergencies. Voice communication between personnel can be used for emergency calls, command, and coordination, improving the efficiency of responding to emergencies and reducing losses after accidents. This is mainly divided into two subcategories: personnel status information monitoring and personnel voice communication.

[0117] II. Other performance requirements

[0118] 1. Business coverage requirements:

[0119] Service coverage requirements refer to the geographical area covered by a communication system in emergency situations. In emergency communications, expanding service coverage ensures that more personnel and equipment can access the communication network, improving rescue and coordination efficiency. During natural disasters, extensive geographical coverage is needed for timely response and rescue; in emergencies, local coverage can support emergency communication needs within a specific area.

[0120] 2. Communication reliability requirements:

[0121] Communication reliability requirements refer to the stability and reliability of communication systems in emergency situations. In emergencies, communication systems must guarantee the integrity and accuracy of information transmission, ensuring timely delivery and reception. In sudden incidents, communication reliability ensures unimpeded information transmission between command centers and rescue personnel, preventing information loss or delays that could hinder rescue operations.

[0122] 3. Communication latency requirements:

[0123] Communication latency requirements refer to the delay time in information transmission during emergency situations. Low-latency communication ensures real-time information transmission, supporting rapid decision-making and action in emergencies. In emergency situations, low communication latency requirements guarantee immediate communication between the command center and emergency personnel, helping them react quickly and adjust action plans.

[0124] III. Packet Loss Rate Requirements

[0125] Referring to the 3GPP standard document TR23.203, network QoS parameters are selected based on the requirements of three typical power grid services. The document defines the QCI (QoS class identifier) ​​values ​​corresponding to different types of services and lists the service characteristics corresponding to each QCI, including resource type (GBR, NonGBR real-time requirements): GBR class bearers are used for services with high real-time requirements, and the scheduler needs to guarantee a minimum bit rate for this type of bearer; NonGBR is the opposite, as shown in the table:

[0126]

[0127] Step 1.2: Analysis of Network Indicators for Multiple Communication Standards

[0128] The evaluation of different communication standards networks is mainly divided into technical indicators and economic indicators. Technical indicators are mainly used to assess the service quality of communication standards, while economic indicators are mainly used to measure the construction and application costs of the technology.

[0129] 1. Technical indicators:

[0130] End-to-end delay

[0131] End-to-end latency refers to the time difference between when an application layer data packet is sent from the sender and when it is received by the receiver. It includes propagation delay on the link, queuing delay, data packet processing delay, forwarding delay at intermediate nodes, and retransmission delay. Propagation delay is the time required for a packet to travel through the medium; it is proportional to the transmission distance. Forwarding delay is the time required for network nodes to process and forward packets, including error detection and routing. Queuing delay is the time a network node needs to wait in the queue while processing or forwarding a packet. Retransmission delay includes the retransmission time caused by timeouts or collisions and is related to the network's connectivity. To accurately reflect the actual network conditions, average end-to-end latency is often used as a node latency metric. Average latency is the average end-to-end latency of all application layer nodes in the network, calculated using the following formula.

[0132]

[0133] Where N represents the number of packets successfully transmitted, rt i Indicates the time it takes for the packet to arrive at the destination node, st i Indicates the time when the group was generated.

[0134] Packet loss rate

[0135] Packet loss rate refers to the ratio of the number of data packets lost in a test to the number of data packets sent, and is typically tested within the throughput range. Packet loss rate is related to packet length and packet transmission frequency. Data packets are lost during transmission due to reasons such as node queue overflow, message collisions, routing failures, and timeouts.

[0136] Packet loss rate N refers to the total number of packets during the packet transmission process, and D refers to the number of data packets lost during transmission. It reflects the loss status of application layer packets, as well as the performance indicators of routing protocols and MAC layer protocols.

[0137] Transmission rate

[0138] Transmission rate is defined as the number of data packets successfully transmitted within a time slot. It generally refers to the total transmission rate of all communication data on a link, but can sometimes also represent the data transmission rate of a specific service. Given the probability of successful transmission Pn and the number of active nodes n, the transmission rate can be expressed by the following formula:

[0139]

[0140] Average throughput refers to the number of packets successfully received by a node at the application layer per unit of time. It is expressed in bits per second. In multi-standard converged ad hoc networks, the average throughput varies from node to node due to traffic patterns and topology.

[0141] Coverage

[0142] The coverage area of ​​a communication method determines the range and accessibility of the services a network can provide. The wider the coverage area, the broader the area the network service can cover, allowing users to access the network and enjoy communication services over a wider area. The coverage area is generally a circular region, and its size is indicated by its radius.

[0143] 2. Economic Indicators

[0144] Network deployment cost

[0145] Network deployment cost refers to the cost required to build a communication system that can achieve end-to-end signal transmission, including communication equipment cost, media cost, installation cost, and operation and maintenance cost.

[0146] Traffic cost

[0147] Traffic cost refers to the expense incurred when transmitting data from one terminal to another using a certain communication standard, including transmission cost, storage cost, and business management cost.

[0148] Step 1.3: Attribute Normalization

[0149] Communication technology metrics have different units of measurement, and some metrics are only general descriptions and cannot be directly calculated. Therefore, it is necessary to normalize these metrics. Normalization can be achieved using the following formula: Where N is the number of communication standards, M is the number of network metrics, and q ij Let n be the value of the above evaluation index. ij These are the normalized attribute values.

[0150] For different types of judgment criteria, different indicators have different dimensions and physical meanings, and can be divided into two types: "cost-type" effect values ​​are better the smaller they are; "benefit-type" effect values ​​are better the larger they are. In order to facilitate analysis and calculation, the judgment matrix A is standardized.

[0151] For performance indicators, including signal rate, signal coverage, and reliability, the following are included:

[0152]

[0153] For cost-related metrics, including packet loss rate, end-to-end latency, cost, and expenses, the following are available:

[0154]

[0155] In the above two equations, This represents the quantified value of the original indicator. and These represent the normalized values ​​of the benefit and cost indicators, respectively. However, considering cost constraints, the communication system only needs to meet the typical business requirements of the power grid, rather than prioritizing higher performance. Therefore, the primary consideration is finding the most suitable available communication technology for each business, rather than the most powerful technology. The normalization principle is as follows: the optimal indicator is quantized as 1, the worst indicator or the indicator that does not meet the power communication requirements is quantized as 0, and the remaining intermediate indicator values ​​are quantized into values ​​between 0 and 1 according to their degree. Ultimately, the range of all quantized indicator values ​​is [0,1], with larger values ​​indicating better compatibility between the indicator and the business.

[0156] S102: Construct a multi-dimensional adaptability index system for multi-standard converged communication technologies and typical power services;

[0157] Because traditional power services and their communication technology architectures are simple, their compatibility indicators are too simplistic. To meet the diverse communication needs of modern, differentiated typical power services, it is necessary to establish a multi-dimensional compatibility indicator system and multi-objective adaptation methods for multi-standard converged communication technologies and typical power services. Typical power service scenarios involve a wide variety of flexible operations, such as emergency communication, drone-based precision inspection of transmission lines, and personnel status monitoring. Each service application has different requirements for communication, security, and cost. Traditional power service and communication technology adaptation simply selects technologies based on latency, bandwidth requirements, and construction costs. The compatibility indicators are not comprehensive enough and cannot accurately represent the differentiated application needs of power services. Therefore, it is essential to first establish a multi-dimensional compatibility indicator system for multi-standard converged communication technologies and typical power services, addressing their differentiated needs. For example... Figure 3

[0158] Step 2.1: Determine the primary adaptation criteria

[0159] Common Indicator Extraction: Based on the differentiated needs of typical power services and the performance of communication standards, common characteristics are extracted to form primary adaptation indicators, specifically including technical indicators and economic indicators. Technical indicators are mainly used to assess the service quality and efficiency of multi-standard converged communication technologies, while economic indicators are mainly used to measure the construction and application costs of these technologies.

[0160] Form a quantifiable and assessable sub-indicator system: Use the analytic hierarchy process to decompose each primary adaptive indicator into several levels of sub-indicators, until the lowest level sub-indicator can directly obtain indicator values ​​through quantitative detection or qualitative evaluation.

[0161] S103: Sub-index adaptation weight calculation based on Delphi iteration;

[0162] The Delphi method, a commonly used expert decision-making technique, is widely applied in problem-solving and forecasting across various fields. Founded in 1946 by the RAND Corporation, it is essentially a feedback-based anonymous inquiry method. The general process involves soliciting expert opinions on the problem to be predicted, then compiling, summarizing, and statistically analyzing the data, and then anonymously feeding it back to the experts. This process is repeated until a consensus is reached, effectively addressing complex problems. The Delphi method has been widely applied in policy-making, strategic decision-making, and technology forecasting, providing strong support for decision-makers. Its main characteristics include the following:

[0163] 1. Brainstorming: The Delphi method employs multiple rounds of repeated consultations, allowing various experts to express their opinions on the same issue and reaching a consensus through aggregation. This brainstorming approach avoids subjective assumptions and misjudgments by a single expert, improving the accuracy of prediction results.

[0164] 2. Anonymity: To avoid the influence of other experts on personal opinions, the Delphi method typically requires experts to express their opinions anonymously. This ensures that each expert can freely express their views without interference from others.

[0165] 3. Iterability: The Delphi method allows for multiple rounds of iterative consultation. The results of each round are summarized and fed back to experts, enabling them to express their opinions more accurately in the next round. This iterability can progressively improve the accuracy of predictions.

[0166] The specific implementation process of obtaining the comprehensive adaptation result based on the Delphi iteration multi-mode converged communication technology and the multi-objective adaptability calculation method of typical power services is as follows:

[0167] After obtaining the secondary sub-indicators based on the analytic hierarchy process (AHP), the business requirements of the secondary sub-indicators and the corresponding indicator adaptation values ​​for communication technologies are determined through standard specifications, theoretical calculations, empirical analysis, and field measurements. Then, the business requirement values ​​corresponding to the secondary sub-indicators are compared with the degree to which different communication technologies meet those sub-indicators, and scoring results are obtained using both quantitative adaptation and qualitative evaluation methods.

[0168] For the technical sub-indicators and the cost and traffic fee economic sub-indicators, experts in power business, communication technology, information and communication security, power communication system operation and maintenance, and communication network management were selected respectively. The Delphi method was used to calculate the weights of the secondary sub-indicators. The weighted summation of the secondary sub-indicators yielded the adaptation results of the primary sub-indicators. The weighted summation of the adaptation results of the primary sub-indicators yielded the comprehensive adaptation result.

[0169] The multi-standard converged communication technology based on Delphi iteration and the multi-objective adaptation method for typical power services can achieve a reasonable adaptation between the needs of typical power services and multi-standard converged communication technologies. This provides theoretical and technical support for building a converged communication network that meets the needs of typical power services, and has performance advantages such as comprehensiveness, versatility, and operability. The specific details are as follows:

[0170] In terms of comprehensiveness, this approach adapts typical power industry business needs to satellite communication technology from both technical and economic dimensions. It considers both technical requirements and economic constraints, resulting in a more comprehensive selection of adaptation indicators. Regarding universality, common indicators are extracted for different business needs and application scenarios, making it adaptable to various application scenarios, business types, and communication technologies, thus providing a more universal adaptation method. In terms of operability, the analytic hierarchy process (AHP) is used to decompose the adaptation indicators, while Delphi iteration is employed to calculate the indicator weights. This method is mature, has low complexity, and is highly operable.

[0171] Considering the differences between the subjective and objective aspects of the indicator system, the Analytic Hierarchy Process (AHP) based on Delphi correction is adopted to determine the indicator weights. The AHP is an objective method, while the Delphi method, which fully utilizes expert experience, is a subjective method. This approach combines the advantages and disadvantages of both subjective and objective methods, compensating for the shortcomings of a single method and ensuring that the weight indicators are scientifically sound and reasonable.

[0172] like Figure 4 As shown in the figure, an embodiment of the present invention provides a communication indicator mapping and evaluation system for typical power grid business scenarios, comprising:

[0173] The business characteristics module is used to familiarize oneself with the business characteristics and network requirements of three typical business scenarios: power emergency communication, drone-based refined inspection of weak signal areas, and personnel status detection in deep forest tunnels. These include speed, packet loss rate, and latency, which are defined with reference to relevant standard documents.

[0174] The indicator system construction module is used to construct a multi-dimensional adaptability indicator system for multi-standard converged communication technologies and typical power businesses;

[0175] The weight calculation module is used for sub-index adaptation weight calculation based on Delphi iteration.

[0176] An embodiment of the present invention provides a computer device, the computer device including a memory and a processor, the memory storing a computer program, and when the computer program is executed by the processor, the processor performs the steps of the communication indicator mapping and evaluation method for typical power grid business scenarios.

[0177] To illustrate in detail the communication indicator mapping and evaluation method for typical power grid business scenarios provided in this invention, we will elaborate on the signal and data processing procedures for each step. This method focuses particularly on how to match the performance indicators of communication technologies with the specific business needs of the power grid, and calculates adaptability weights to evaluate the applicability of different communication technologies to specific power grid business scenarios.

[0178] Step 1: Define business requirements and network requirements

[0179] 1. Business Scenario Analysis:

[0180] Power emergency communications: Key indicators include high reliability and rapid deployment capability to respond to emergencies.

[0181] High-precision inspection of areas with weak signal using drones: requires low latency and high data rates to transmit high-definition video.

[0182] Personnel status monitoring in deep forest tunnels: requires communication technology with strong penetration capabilities to ensure signal coverage.

[0183] 2. Network Requirements Definition:

[0184] Rate: The minimum data transmission rate that varies depending on the requirements of different business scenarios.

[0185] Packet loss rate: Defines the maximum acceptable data packet loss rate.

[0186] Latency: Define the maximum latency threshold for services with high real-time requirements.

[0187] 3. Standard document reference:

[0188] Based on the standards of the International Telecommunication Union (ITU) and the State Grid Corporation of China, specific technical requirements were summarized.

[0189] Step 2: Construct an indicator system

[0190] 1. Analysis of multi-standard communication technologies:

[0191] Analyze the basic performance indicators of different communication technologies such as LTE, 5G, WiFi, and LoRa.

[0192] 2. Construction of a multi-dimensional adaptability index system:

[0193] Based on the business requirements defined in step 1, construct an adaptability evaluation model, including but not limited to signal strength, network stability, coverage, cost-effectiveness, etc.

[0194] 3. Signal and data processing:

[0195] Collect actual performance data for various communication technologies.

[0196] Normalization: Standardize different performance indicators (rate, packet loss rate, latency, etc.) to the same scale to facilitate comprehensive analysis and comparison.

[0197] Step 3: Delphi Iteration Weight Calculation

[0198] 1. Expert consultation and feedback:

[0199] Using the Delphi method, experts from the communications and power industries were invited to provide feedback and suggestions for improvement on the initially constructed indicator system.

[0200] 2. Iterative calculation of sub-indicator weights:

[0201] Initial weight settings: Set initial weights based on expert opinions.

[0202] Iterative adjustment: Adjust the weights based on expert group feedback until a certain level of consensus is reached.

[0203] 3. Final determination of weights:

[0204] Determine the weight of each sub-indicator in the entire evaluation system to ensure that the final evaluation results can comprehensively reflect the adaptability of each communication technology to the corresponding business scenarios.

[0205] Use data analysis software (such as MATLAB or R) to normalize the data and calculate weights.

[0206] Use a database management system (such as MySQL) to store and manage the collected data and evaluation results.

[0207] Develop a user interface that allows system operators to easily input data and view evaluation results.

[0208] Technology evaluation and decision support tools help power systems make more informed decisions when selecting communication technologies, thereby improving the efficiency and security of overall operations.

[0209] This invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor performs the steps of the communication indicator mapping and evaluation method for typical power grid business scenarios.

[0210] This invention provides an information data processing terminal, which is used to implement the communication indicator mapping and evaluation system for typical power grid business scenarios.

[0211] The present invention conducts multi-dimensional differential feature analysis for three typical business scenarios, namely power emergency communication, refined inspection of drones in weak signal areas, and detection of the status of personnel in forest tunnels, analyzes the communication requirements of each scenario in detail, including technical indicators and economic indicators such as service bandwidth, end-to-end delay, reliability requirements, etc., maps the indicators with the performance and cost (network deployment cost and traffic cost) of existing communication systems, and constructs a mapping model for demand-based services and communication indicators.

[0212] Step 1: Familiarize with the service characteristics and network requirements of three typical business scenarios, namely power emergency communication, refined inspection of drones in weak signal areas, and detection of the status of personnel in forest tunnels, such as rate, packet loss rate, delay, etc., and define them by referring to relevant standard documents.

[0213] Step 1.1: Analysis of service requirements for typical power business scenarios

[0214] I. Rate requirements

[0215] 1. Power emergency communication scenario

[0216] Video backhaul for emergency sites: Implement the backhaul of 13 720P video signals from the emergency site of an unexpected event to the rear emergency command center of the frontline command post, enabling rapid judgment and command of the emergency site situation by each level of command center. Calculated based on the uplink / downlink rate of 1 Mbps for each 1 720P video and in accordance with the access to the new generation of emergency command systems, the rate requirement for a single emergency site is approximately 2 Mbps - 6 Mbps.

[0217] Information backhaul for emergency sites: Implement the data backhaul of each individual device of on-site rescue personnel to the frontline command post and the rear emergency command center of the site. The data of individual devices includes personnel health monitoring, geographical location information, temperature and humidity, and gas monitoring, etc., to assist in the comprehensive judgment of unexpected events by the rear. Calculated by taking the bandwidth of individual devices and acquisition terminals supporting the new generation of emergency command systems as an example, the rate requirement for various terminals at a single emergency site is approximately 4 Mbps.

[0218] Data access for emergency sites: Implement the access to the management information area and Internet services of the emergency site and use multi-mode integrated communication technology to enable Internet access and public network voice calls for mobile phones, smart terminals, and computers of on-site emergency repair personnel. Calculated based on the uplink / downlink rate of 1 Mbps for each single access terminal and 4 access terminals at a single emergency site, the rate requirement is approximately 8 Mbps.

[0219] Voice communication for emergency sites: In extreme environments where the public network signal is interrupted, use technologies such as ultra-shortwave relay and satellite communication technology to carry external network services and enable voice and data access for on-site support personnel, thereby ensuring the emergency communication requirements of on-site personnel in extreme environments. The uplink / downlink rate < 1 Mbps, and the rate requirement is approximately less than 1 Mbps.

[0220] Estimated by the failure of one emergency site in the province at the same time, the single-scenario rate requirement is about 19 Mbps.

[0221] 2. Drone refined inspection scenario in weak signal areas of drones

[0222] Drone line inspection data transmission: Achieve network signal coverage in remote field line environments, meet the external communication needs of line inspection personnel in the field, and transmit inspection data in real time. Calculated according to the need for an uplink rate of 2 Mbps for 1 1080P video signal and the rest of the inspection information in KB level, the rate requirement is about 2 Mbps

[0223] The rate requirement for the refined inspection business of drones on a single signal blind area line in the province is about 2 Mbps.

[0224] 3. Scene of personnel status detection in deep forest tunnels

[0225] Monitoring of personnel status information: Realize the transmission of data from each single soldier device in the deep forest tunnel to the command center. The data of the single soldier device includes personnel health monitoring, geographical location information, temperature and humidity, and gas monitoring, etc., to assist the rear in comprehensively judging emergencies. Calculated by taking the bandwidth of the single soldier device and the acquisition terminal supporting the new generation emergency command system as an example, the rate requirement for various terminals at a single site is about 4 Mbps.

[0226] Personnel voice communication: In an extreme environment where the public network signal is interrupted, use the single soldier device for voice calls to realize the access of voice and data of on-site support personnel, so as to ensure the communication needs of on-site personnel in extreme environments. According to the uplink and downlink rates of single-channel ultra-short wave relay station communication <1 Mbps, the rate requirement is about <1 Mbps.

[0227] The rate requirement for the single-scenario personnel status detection service scenario in the province is about 5 Mbps.

[0228] Rate requirement calculation table

[0229]

[0230] II. Other performance requirements

[0231] 1. Emergency communication service scenario

[0232] The service coverage is extremely wide: When a disaster occurs, it usually involves a wide area, and communication services with a wide coverage are required to ensure the communication needs of disaster victims and rescue personnel. The emergency communication system needs to be able to provide a wide coverage to ensure that communication services can cover every corner of the affected area.

[0233] Extremely high reliability: In disasters or emergencies, the reliability of communication services is crucial. Emergency communication systems need to be highly reliable, capable of operating stably in harsh environments, and ensuring uninterrupted communication services.

[0234] Latency <200ms: In emergencies, the timeliness of communication is crucial. Lower latency ensures real-time communication, helping rescue personnel respond quickly and coordinate actions. Therefore, emergency communication systems need to have low latency to guarantee the timely transmission of information.

[0235] 2. High-precision inspection scenarios using drones

[0236] Business coverage of over 10km: Power transmission lines are typically distributed across vast areas, some of which are remote and sparsely populated. To ensure comprehensive inspection and monitoring of power transmission lines in these areas, drones need to have wide-range communication capabilities to enable remote control, data transmission, and monitoring.

[0237] High reliability: Communication reliability is crucial during power transmission line inspections. Any communication interruption leads to data loss or failure to obtain critical information in a timely manner, affecting the accuracy and efficiency of the inspection. Therefore, the UAV communication system needs to be highly reliable, capable of stably transmitting voice, video, and data.

[0238] Latency <100ms: Timeliness is a crucial factor in power transmission line inspection. Lower latency ensures real-time monitoring and control, helping operators promptly identify problems and take appropriate measures. Therefore, communication systems need to have low latency to ensure the timeliness of data transmission and control commands.

[0239] 3. Personnel Status Monitoring Scenario in Deep Forest Tunnels

[0240] Limited service coverage: In complex environments such as deep forests and tunnels, personnel status monitoring and communication are often concentrated in localized areas, requiring communication networks with limited coverage to meet the demands. Therefore, the service coverage is relatively small, but it is necessary to ensure complete communication coverage within these areas.

[0241] High reliability: In environments such as deep forest tunnels, communication signals are easily affected by factors such as terrain and vegetation, leading to signal interruptions or interference. To ensure the reliability of personnel status monitoring and communication, the communication system needs to possess high stability and anti-interference capabilities.

[0242] Latency <200ms: Timely information transmission and response are crucial in handling emergencies. Lower latency ensures real-time monitoring of personnel status information and the immediacy of communication, helping command centers make timely decisions and respond to emergencies. Therefore, communication systems need to have low latency to meet the demands of real-time communication.

[0243] Other performance requirements calculation table

[0244] Emergency Communications Extremely wide Extremely high (200ms Unmanned aerial vehicle (UAV) power line inspection More than 10km high <100ms Forest tunnel personnel status monitoring smaller high <200ms

[0245] III. Packet Loss Rate Requirements

[0246] Referring to the 3GPP standard document TR23.203, network QoS parameters were selected based on the requirements of three typical power grid services: emergency communication (QCI2), personnel status monitoring (QCI1), and drone inspection (QCI6, although latency appears to be insufficient). The corresponding features were mapped. Furthermore, based on the different bandwidth requirements of different services, a bandwidth impact factor (0.9 representing the degree of bandwidth requirement) was added. The overall results are as follows:

[0247] Emergency Communications 2 GBR 10-3 9 Drone Inspection 6 NonGBR 10-6 6 Personnel status monitoring 1 GBR 10-2 1

[0248] Step 1.2: Analysis of Network Indicators for Multiple Communication Standards

[0249] The evaluation of different communication standards networks is mainly divided into technical indicators and economic indicators. Technical indicators are mainly used to assess the service quality of communication standards, while economic indicators are mainly used to measure the construction and application costs of the technology.

[0250] Analysis of network indicators for multiple communication standards

[0251]

[0252]

[0253] Step 1.3: Attribute Normalization

[0254] Various indicators of communication technology have different units of measurement, and some indicators are only general descriptions and cannot be directly calculated. Therefore, it is necessary to normalize these indicators. The final normalized quantitative values ​​of communication technology performance are shown in the table below.

[0255] Normalized quantization value of communication technology performance

[0256]

[0257] Step 2: Construct a multi-dimensional adaptability index system for multi-standard converged communication technologies and typical power services.

[0258] Common Indicator Extraction: Based on the differentiated needs of typical power services and the performance of communication standards, common characteristics are extracted to form primary adaptation indicators, specifically including technical and economic indicators. Technical indicators are mainly used to assess the service quality and efficiency of multi-standard converged communication technologies, while economic indicators are mainly used to measure the construction and application costs of these technologies. Combining the characteristics of multi-standard converged communication technologies, the technical sub-indicators mainly include communication rate, latency, packet loss rate, and coverage, while the economic sub-indicators mainly include network deployment costs and data traffic fees.

[0259] Finally, an adaptation indicator system consisting of primary adaptation indicators and sub-indicators at all levels is formed, as shown in the table, providing a basis for subsequent adaptation analysis.

[0260] Typical business requirements of power grid and performance compatibility index system of communication standards

[0261]

[0262]

[0263] Step 3: Calculation of sub-index adaptation weights based on Delphi iteration

[0264] The specific implementation process of obtaining the comprehensive adaptation result based on the Delphi iteration multi-mode converged communication technology and the multi-objective adaptability calculation method of typical power services is as follows:

[0265] 1. Basic information of the experts: Among the 10 experts, 2 (20%) are power business experts, 4 (40%) are communication technology experts, 2 (20%) are power communication system operation and maintenance experts, and 2 (20%) are communication network management experts.

[0266]

[0267]

[0268] 2. Expert Enthusiasm Rate: In the first round of expert consultation, 5 questionnaires were distributed and 5 were returned, resulting in a 100% response rate. 60% of the experts provided suggestions for revising the indicator system. In the second round, 5 questionnaires were distributed and 5 were returned, also resulting in a 100% response rate, indicating high expert participation in the consultation.

[0269] 3. Expert Authority Level: The expert authority level (Cr) is determined by the expert's judgment criteria (Ca) and familiarity with the indicator (Cs), where Cr = (Ca + Cs) / 2. Generally, an authority level coefficient of 0.7 or higher is considered acceptable. In the first and second rounds of expert consultation, the expert authority levels for the primary indicators were 0.8 and 0.9 respectively, both greater than 0.7, indicating good reliability of the expert consultation results.

[0270] 4. Central tendency of expert opinions: The central tendency of expert opinions is expressed as the mean (M). j ) and full frequency (K j ) is used to represent this.

[0271] (1)Mean: m j C represents the number of experts participating in the evaluation of the j-th indicator; ij M represents the score given by the i-th expert to the j-th indicator. j The larger the value of j, the more important the corresponding j index.

[0272] (2) Frequency of full marks: m j m represents the number of experts participating in the evaluation of the j-th indicator; i K represents the number of experts who gave full marks. j K takes values ​​between 0 and 1. j Can be used as M j Supplementary indicator, K j The larger the value, the greater the proportion of experts who give the indicator a perfect score, and the more important the indicator is.

[0273] 5. Degree of consensus among experts: The degree of consensus among experts refers to whether there are disagreements among experts regarding the indicators. It is represented by Kendall's W consensus coefficient. The higher the value, the higher the degree of consensus among experts and the more reliable the results.

[0274] The degree of consensus among expert opinions is measured by the coefficient of variation (V). j The coefficient of variation is expressed using the coefficient of variation (w) and the coefficient of consistency (m). The coefficient of variation describes the m-th... j The coefficient of coordination among m experts on all n indicators indicates the degree of consensus among all m experts; a higher coefficient indicates a higher degree of consensus. By calculating the coefficient of variation and the coefficient of coordination, we can determine whether there are significant disagreements among experts regarding each indicator, or identify highly coordinated experts and those holding dissenting opinions. The specific calculation method is as follows:

[0275] (1) Coefficient of variation

[0276] Where V j δ represents the coefficient of variation of j indicators; j x represents the standard deviation of the j-th indicator; j V represents the mean of the j-th indicator. The coefficient of variation indicates the degree of fluctuation, or the degree of coordination, among experts regarding the relative importance of the j-th indicator. j The smaller the value, the higher the level of coordination among the experts.

[0277] (2) Coordination coefficient

[0278] The concordance coefficient reflects the consistency of opinions among different experts and is also an indicator of the credibility of the consultation results. First, the arithmetic mean of the sum of the expert ratings for the j-th indicator is calculated. Where R ij S represents the evaluation level of the i-th expert on the j-th indicator; j S represents the sum of the levels of the j-th indicator. j The larger the value, the more important the indicator.

[0279] Secondly, calculate the coordination coefficient:

[0280] in, Formula for when experts do not give the same evaluation of the various indicators:

[0281]

[0282] If there are multiple ratings with the same rating, w needs to be corrected. The correction formula is:

[0283] Where T i Indicators of the same level L represents the number of evaluation groups that expert i shared in the evaluation; t i This represents the number of the same rank in group L. The coordination coefficient w ranges from 0 to 1. The larger the w, the better the coordination among experts; conversely, a smaller w indicates a lower degree of coordination. Generally, after 23 rounds of consultation and coordination, the coordination coefficient typically fluctuates within the range of 0.5, indicating good error control.

[0284] (3) Significance test of the coordination coefficient – ​​χ² 2 test:

[0285] Based on the degrees of freedom and significance level, from χ² 2 The critical value was found in the value table. if If the coordination coefficient is significant after testing, it indicates that the expert evaluation opinions are well-coordinated, and the result is acceptable. Conversely, if the coefficient is not significant, The smaller the value, the greater the probability of non-accidental reconciliation of the expert panel's opinion. At a 95% confidence level, if P>0.05, then the expert opinion is considered to be unreliable in terms of non-accidental reconciliation, the credibility of the assessment conclusion is poor, and the evaluation result is unacceptable.

[0286] Item selection: Based on literature review and the results of two rounds of Delphi method questionnaires, the evaluation indicators can be determined to include six indicators: communication rate, latency, packet loss rate, coverage radius, network deployment cost, and traffic cost. The weights of the indicators are given in the table below. It can be seen that the most important indicators are communication rate, latency, and network deployment cost, which is in line with expectations.

[0287]

[0288] The compatibility of typical power grid services with various communication standards is quantified and ranked:

[0289] 4G > 5G > WIFI > Satellite Communication.

[0290] It should be noted that embodiments of the present invention can be implemented using hardware, software, or a combination of both. The hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by a suitable instruction execution system, such as a microprocessor or dedicated-design hardware. Those skilled in the art will understand that the above-described devices and methods can be implemented using computer-executable instructions and / or included in processor control code, for example, such code provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented using hardware circuitry such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field-programmable gate arrays, programmable logic devices, etc., or using software executed by various types of processors, or using a combination of the above-described hardware circuitry and software, such as firmware.

[0291] II. Application Examples. To demonstrate the inventiveness and technical value of the technical solution of this invention, this section provides application examples of the technical solution of the claims on specific products or related technologies.

[0292] This invention comprehensively considers multiple indicators of a communication system, including reliability, coverage, latency, and bandwidth, evaluating the system's performance from multiple dimensions. This comprehensive approach helps users select a suitable communication system based on their specific needs in the current scenario, thereby improving overall communication performance. A specific embodiment is a multi-standard converged communication terminal, such as... Figure 5 As shown, the terminal is equipped with functional modules such as a Wi-Fi module, a 2.4GHz wireless communication module, and a satellite communication module. It can monitor the current communication indicators of each communication standard. The central processing unit processes the monitoring information from each module and evaluates and selects a suitable communication system for access according to the technical solution of the present invention.

[0293] III. Evidence of the effects of the embodiments.

[0294] This embodiment is still in the research and development stage. In order to verify the practical value of the invention, multiple simulated environments were conducted during the research and development process, which yielded some positive results. Compared with the existing technology, it does have great advantages. The following content is described in conjunction with the data, charts and other information from the experimental process.

[0295] This simulation focuses on a scenario of refined inspection by a drone in a weak signal area. The communication requirements under the current communication conditions are shown in the table below:

[0296]

[0297] During the simulation period, signal attenuation is simulated periodically. The multi-standard converged communication terminal constantly monitors the communication indicators of different communication standards in the environment to assess whether the current communication standard is suitable for continued use; otherwise, it switches to the most suitable communication standard. The figure below shows a comparison of the communication effects of using a fixed communication standard and switching between communication standards using the communication indicator mapping and evaluation method proposed in this invention.

[0298] like Figure 6 As shown in the figure, the horizontal axis represents the time point at which each signal change occurs, and the vertical axis represents the normalized value of the communication effect of each standard. The figure shows that the optimal communication standard varies under different communication environments, i.e., different time stages in the simulation environment. If the same communication standard is used from beginning to end, the communication effect may be very poor or unstable. However, by adopting multi-standard fusion communication and the communication index mapping and evaluation method proposed in this invention, it can be ensured that the system can flexibly switch to the most suitable communication standard channel under different environments, ultimately achieving the best communication effect.

[0299] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions, and improvements made by those skilled in the art within the scope of the technology disclosed in the present invention, and within the spirit and principles of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for mapping and evaluating communication indicators for typical power grid business scenarios, characterized in that, Includes the following steps: Step 1: Collect business characteristics and network requirements data for three typical business scenarios through the data collection module, including but not limited to rate, packet loss rate, and latency, and define them with reference to relevant standard documents; Step 2: Construct a multi-dimensional adaptability index system based on multi-standard converged communication technology and typical power services. This system includes indicators such as signal strength, network stability, coverage, and cost-effectiveness. Step 3: Calculate the weights for each sub-indicator using the Delphi iteration method, which includes expert consultation, feedback collection, and iterative adjustment, ultimately determining the weight of each sub-indicator.

2. The communication indicator mapping and evaluation method for typical power grid business scenarios as described in claim 1, characterized in that, The detailed operation of the data collection module in step 1 includes: (1) Analyze the specific business requirements of typical power business scenarios and identify key communication performance parameters such as rate, packet loss rate and latency; (2) Collect relevant network performance index data from various communication standard networks, including LTE, 5G, WiFi, LoRa, etc. (3) Perform attribute normalization processing to ensure that data from different sources and types can be evaluated and compared under the same standard, so as to improve the accuracy and applicability of the evaluation method.

3. The communication indicator mapping and evaluation method for typical power grid business scenarios as described in claim 2, characterized in that, Analysis of network indicators for various communication standards: 1) Technical specifications; 2) Economic indicators.

4. The communication indicator mapping and evaluation method for typical power grid business scenarios as described in claim 3, characterized in that, The technical specifications are as follows: End-to-end latency: Average latency is the average end-to-end latency of all nodes in the application layer of the network, and it is calculated using the following formula; Where N represents the number of packets successfully transmitted, rt i Indicates the time it takes for the packet to arrive at the destination node, st i Indicates the time when the group was generated; Packet loss rate: Packet loss rate N refers to the total number of messages during the message transmission process, and D refers to the number of data messages lost during the transmission process; Transmission rate: Given the success probability Pn and the number of active nodes n, the transmission rate can be expressed by the following formula: Average throughput refers to the number of packets successfully received by a node at the application layer per unit of time; it is expressed in bits transmitted per second. Coverage area: The coverage area is generally a circular area, and the size of the coverage area is indicated by the radius of the coverage area.

5. The communication indicator mapping and evaluation method for typical power grid business scenarios as described in claim 3, characterized in that, The economic indicators mentioned: Network deployment cost: Network deployment cost refers to the cost required to build a communication system that can achieve end-to-end signal transmission, including communication equipment cost, media cost, installation cost and operation and maintenance cost; Traffic cost: Traffic cost refers to the expense incurred when transmitting data from one terminal to another using a certain communication standard, including transmission cost, storage cost, and business management cost.

6. The communication indicator mapping and evaluation method for typical power grid business scenarios as described in claim 2, characterized in that, Normalization of the attribute: N represents the number of communication standards, M represents the number of network indicators, and q ij Let n be the value of the above evaluation index. ij These are the normalized attribute values; For performance indicators, including signal rate, signal coverage, and reliability: For cost-related metrics, including packet loss rate, end-to-end latency, cost, and expenses:

7. A communication indicator mapping and evaluation system for typical power grid business scenarios, implementing the communication indicator mapping and evaluation method for typical power grid business scenarios as described in any one of claims 16, characterized in that, The communication indicator mapping and evaluation system for typical power grid business scenarios includes: The business characteristics module is used to familiarize oneself with the business characteristics and network requirements of three typical business scenarios: power emergency communication, drone-based refined inspection in weak signal areas, and personnel status detection in deep forest tunnels. These include speed, packet loss rate, and latency, which are defined with reference to relevant standard documents. The indicator system construction module is used to construct a multi-dimensional adaptability indicator system for multi-standard converged communication technologies and typical power businesses; The weight calculation module is used for sub-index adaptation weight calculation based on Delphi iteration.

8. A method for mapping and evaluating communication indicators for typical power grid business scenarios based on the method described in claim 1, particularly for business scenarios such as power emergency communication, refined inspection of weak signal areas by unmanned aerial vehicles, and personnel status detection in deep forest tunnels, characterized in that... The method includes the following steps: (a) Collect business characteristics and network requirements data for three typical business scenarios through the data collection module, including but not limited to rate, packet loss rate, and latency, and define them with reference to relevant standard documents; (b) Construct a multi-dimensional adaptability index system based on multi-standard converged communication technology and typical power services. This system includes indicators such as signal strength, network stability, coverage, and cost-effectiveness. (c) The Delphi iterative method is used to calculate the sub-index adaptation weights, including expert consultation, feedback collection and iterative adjustment, to finally determine the weight of each sub-index in order to evaluate and select the best communication technology solution.

9. The communication indicator mapping and evaluation method for typical power grid business scenarios according to claim 8, characterized in that, The detailed operation of the data collection module in step 1 includes: (a) Analyze the specific business requirements of typical power business scenarios and identify key communication performance parameters such as rate, packet loss rate and latency; (b) Collect relevant network performance data from various communication network standards, including LTE, 5G, WiFi, LoRa, etc. (c) Perform attribute normalization to ensure that data from different sources and types can be evaluated and compared under the same standard, thereby improving the accuracy and applicability of the evaluation method.

10. An information data processing terminal, characterized in that, The information data processing terminal is used to implement the communication indicator mapping and evaluation system for typical power grid business scenarios as described in claim 7.

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