During the construction and application of domestic smart gas, the following four key problems need to be solved:
01 Problems Existing in the Construction of Perceptual Capacity of Extensive Production Units
The core feature of Smart Gas is "wisdom". It has "three realizations", that is, the realization of intelligence depends on extensive information perception, has a deeply interconnected information system, realizes intelligent processing of massive information, analyzes, predicts and monitors business work, and provides strong information support for business decisions.
For the production unit of gas business, the automatic information collection, remote operation control, status monitoring and early warning of production and operation related settings need mobile applications, 5G, digital twins, intelligent terminals, artificial intelligence, simulation and other technologies to realize awareness, including operation status, measurement parameters, business operation, video monitoring and other work.
Extensive perception is a process, which is gradually constructed. Extensive perception also depends on the ability of business systems and the ability of enterprises to process big data. Ubiquitous awareness is not for all equipment, but for key equipment, businesses, places, etc., to ensure a thorough understanding of business operations, which is heavy workload and difficult.
Full integration and intelligence of O2 applications
Based on the construction and application of the unified construction system, especially the business support of the gas retail system, production and operation management system, customer relationship management system, gas sales and operation management system, and electronic sales management system., Cloud computing technology is adopted to form a technical intermediate platform for gas business, build a unified gas business cloud, and realize the deep integration and integration of resources, information and business.
At the same time, the pictures should be combined with the demonstration project, and attention should be paid to the integration with the equipment and facilities of the production unit to form a standard for promotion, construction and application. In this process, there are two problems: first, because each business system may be built by different system construction units, the data format, mode configuration, and data protocol of the system may be different, and data integration needs a unified data standard; 2、 In addition to unifying data standards and data protocols at the technical level, it may also be necessary to reshape business functions. Different systems focus on different businesses, which are related. After system integration, it is necessary to consider the relationship between related, dependent, parallel and other businesses.
03 Problems in comprehensive perception, collaborative operation, innovation and value-added
Based on cloud computing platform and big data analysis technology, build gas data lake and gas business analysis and management platform. On the basis of thorough perception, deeply integrate and integrate the gas business operation platform, and based on the massive data information processing technology, realize the gas business analysis, prediction, monitoring, decision-making and technical support for new business and value-added business, as well as the management, governance and sharing of gas sales business data
At the same time, it provides data foundation for gas business cloud, realizes gas business perception and business cooperative operation, and promotes digital innovation and sustainable high-quality development of gas business. The decision and technical support of new business and value-added business need the support of big data algorithm. At present, the big data algorithm mainly adopts supervised machine learning algorithm, which needs to input a large number of machine learning samples. The quality of these samples, including the number and balance of samples, determines whether the supervised machine learning algorithm is accurate.
However, in the current industrial Internet, due to the limitation of storage space, only a small amount of industrial control system data can be saved, and fewer samples can be used as abnormal production or equipment in a small amount of data. The number of samples is insufficient, so the accuracy of the algorithm of the big data model will be greatly compromised.

04 Iteration and pilot promotion of intelligent gas building application technology
With the continuous promotion and industrialization of big data, artificial intelligence, Internet of Things and other emerging cutting-edge technologies, and the Ministry of Industry and Information Technology, the Ministry of Housing and Urban Rural Development, the State owned Assets Supervision and Administration Commission of the State Council and other ministries and commissions vigorously promote the transformation and upgrading of digital intelligence, especially the development of digital intelligence in the gas industry.
In the process of building digital gas, smart gas and smart gas, the urban gas industry will upgrade tools, methods and technologies such as lean gas management, digital gas technology, smart gas management and control, and gas knowledge engineering, develop steadily, and vigorously promote urban gas to realize the empowerment, quality improvement, and efficiency increase of the whole natural gas industry chain.
With the continuous progress of science and technology and the continuous development of engineering practice, urban gas is facing many challenges, including the upgrading of gas infrastructure, gas equipment technology, mechanical operation, automatic control, remote intelligent regulation, asset management system and technology, gas integrity technology and other aspects of development, and the increasingly high requirements for digital intelligence, National industry supervision is becoming more and more strict. It also poses new and greater challenges to the professional and scientific ability of personnel to perform their duties. To further promote the construction and application of smart gas and adhere to the "world vision, international standards, Chinese characteristics, high point positioning" will be a huge challenge and opportunity for the gas industry.
In addition, the construction of "gas data pool", "gas resource lake" and "gas knowledge base" is related to the future pattern of smart gas and gas knowledge engineering. In order to break through traditional means and methods, the construction of smart gas must be explored, tried and cultivated based on business scenarios in the in-depth theoretical research and application practice of smart+knowledge engineering.