Intelligent Analysis of Electric Power Data
Provides a closed-loop end-to-end data and AI solution for electric power companies
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The system enables the aggregation, governance, analysis, and mining of business data generated in power equipment, marketing, scheduling, and development, and supports sharing services and building intelligent applications for higher quality and efficiency in operation.

Features and Advantages

Data middle office
Data middle office
Builds an enterprise-level data middle platform focusing on enterprise production and management data that supports access to and fast analysis of more than 20 mainstream databases.
Industrial knowledge center
Industrial knowledge center
Allows full-dimensional acquisition and integration of massive data resources with technologies such as natural language processing (NLP) and big data.
AI platform
AI platform
Provides a visualized and automated development platform for algorithm developers to solve pain points in getting started with algorithms and governing data.

Product Structure

Based on big data, machine learning, knowledge graphs and other technologies, the system provides a closed-loop end-to-end data and AI solution that allows electric power companies to analyze data, get an insight into data and make better decisions. At the bottom layer is the data middle platform that offers metadata management capabilities to enable access to multiple-source heterogeneous data, quality management, standardization, and data development and sharing; what is at the middle layer includes the knowledge graph and AI platforms. The knowledge graph platform provides services throughout the knowledge lifecycle from model building, production, management, and inference; the AI platform provides a one-stop model development platform for developers by leveraging NLP, CV, and ML technologies. With data accumulation, knowledge acquisition, and model development as the cornerstone, intelligent applications including Power Transformation Signal Fault Identification, Workload Capacity-Based Scheduling, Intelligent Writing, and Electric Power Expert are available at the application layer.

Various Business Scenarios for Digitalization Construction

设备信号故障诊断
设备信号故障诊断
基于数据挖掘、分析和模型预测,结合电网设备连接、运行等场景,实现设备故障诊断
Profiling of maintenance personnel workload capacity
Profiling of maintenance personnel workload capacity
Business data and real-time physiological data of maintenance personnel is collected to build the profile of maintenance personnel's workload capacity to ensure fine-grained management of people and tasks.
Intelligent assistant for employees
Intelligent assistant for employees
The low efficiency in obtaining product and equipment knowledge is solved by the information service bots that serve customers and distributors.
 Intelligent diagnosis of electrical line faults
Intelligent diagnosis of electrical line faults
Intelligent Q&A interactions are enabled based on the multi-source heterogeneous data of electrical lines to allow accurate diagnosis of electrical line faults for faster first-aid repairs.

Related Case

Intelligent fault diagnosis is realized at the State Grid substation maintenance center to eliminate the need for manual interference.
The time for searching for fault information is shortened from a few minutes to less than 1 minute. Fault forms are generated with just one click to reduce the workload of information collection by 85% for a single fault.
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Intelligent fault diagnosis is realized at the State Grid substation maintenance center to eliminate the need for manual interference.
Fault knowledge bases built for substations increases the incident recognition rate and reduces maintenance costs
With the substation fault knowledge bases, the reliance on the monitoring alarm window is reduced to avoid the huge pressure on the monitoring screen in case of frequent faults. The problems such as insufficient recognition of alarm signals, inaccurate analysis, and non-standard operations have been solved, with the efficiency of processing alarm signals in real time increased greatly.
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Fault knowledge bases built for substations increases the incident recognition rate and reduces maintenance costs
Maintenance planning based on personnel's workload capacity helps the State Grid substation maintenance teams improve management precision;
Our solution helps to solve the problems such as unbalanced work planning, excessive reliance on manual calculation, high effort input, and high fault tolerance; realize a better assignment of tasks to staff to eliminate the reliance on manual effort in resource allocation; and quantize the staff workload to provide a basis for performance evaluation.
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Maintenance planning based on personnel's workload capacity helps the State Grid substation maintenance teams improve management precision;
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4006-538-899

Reception

010-64303888
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