Power decentralized big data

1. Decentralization is a subversive feature of blockchain technology. It does not need centralized agent and realizes a kind of point-to-point direct interaction, which makes the information interaction mode of high efficiency, large scale and no centralized agent become a reality
jinwowo group will use blockchain technology to promote the legalization of big data business. The encryption of blockchain technology can ensure that the privacy of data sources can be better protected when big data is called, so as to eliminate the bad phenomenon of illegal reselling of big data and rebuild the rules of legal circulation and application in the data market.

2.

please focus on the bold part:

Internet thinking, in the mobile Internet plus big data, cloud computing and other technology development background, the market, users, procts, enterprise value chain and even the whole business ecosystem to reconsider the way of thinking. P>

first put forward the Internet thinking is the founder of network company Robin Li. In a large-scale activity on the Internet, Robin Li first discussed the word "Internet thinking" when Robin Li explored the development issues with the boss and entrepreneur of traditional instries. He said that we entrepreneurs should have Internet thinking in the future. Maybe what you do is not Internet, but your way of thinking should graally think from the perspective of Internet. Now a few years later, this concept has been graally recognized by more and more entrepreneurs, even people from all walks of life and fields outside the enterprise. But the word "Internet thinking" has evolved into a number of different interpretations

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the way of thinking in the Internet era is not limited to Internet procts and Internet enterprises. The Internet here refers not only to desktop Internet or mobile Internet, but also pan Internet, because the future network form must span all kinds of terminal devices, such as desktop, notebook, tablet, mobile phone, watch, glasses, etc. Internet thinking is to rece the dimension, let the Internet instry take the initiative to integrate the real instry

How does Internet thinking come into being? Proctivity determines the relationship of proction. To a certain extent, the technical characteristics of the Internet will affect its logic at the commercial level. The unit of instrial society is tangible atom, while the basic medium of Internet world is intangible bit. This means that economics in the era of instrial civilization is a kind of scarcity economics, while economics in the era of Internet is a kind of abundance economics. According to Moore's law and other theories, the three basic elements of the Internet bandwidth, storage and server will be unlimited free. In the Internet economy, monopoly of proction, sales and communication will no longer be possible

Moreover, a network Internet has no central node, it is not a hierarchical structure. Although different points have different weights, no point is absolutely authoritative. So the technical structure of the Internet determines its inner spirit, which is decentralized, distributed and equal. Equality is a very important basic principle of the Internet

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in a network society, the value of an "indivial" and an "enterprise" is determined by the breadth and thickness of the connecting point. The wider and thicker your connection, the greater your value. This is also the basic feature of the pure information society. Your information content determines your value. So opening becomes a necessary means of survival. If you don't open up, you can't get more connections

Therefore, the Internet business model must be built on the basis of equality and openness, and Internet thinking must reflect the characteristics of equality and openness. Equality and openness mean democracy and humanization. In this sense, the Internet economy is a real people-oriented economy

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in the era of agricultural civilization, the most important assets are land and farmers. In the instrial era, the most important assets are capital, machinery (machinery is solidified capital) and alienated people on the assembly line. In the early instrial age, the most important consideration was the alienated man, because man was also treated as a machine. People are just screws in the assembly line

in the era of knowledge economy, the core resources are data and knowledge workers, which Drucker said at the end of last century. Enterprise management will also move from the traditional multi-level to a more flat, more network, more ecological way. Let knowledgeworker truly create value and become the most important and needed breakthrough place for any organization and the whole society

3. Compared with the traditional centralized storage and centralized cloud services, the two complement each other and expand the market of data storage and computing, which will constitute the two cornerstones of the future digital economy. China has efficient, stable and cheap power and network infrastructure, which provides sufficient soil for the development of decentralized cloud computing. Taking IPFs as an example, 90% of the total network computing power of IPFs is located in China. In the future, China will become the leader of IPFs. Taking xnmatrix as an example, it has become a global computing power leading decentralized cloud computing platform.

4. Due to the use of Distributed Accounting and storage, there is no centralized hardware or management organization, the rights and obligations of any node are equal, and the data blocks in the system are jointly maintained by the nodes with maintenance function in the whole system
in the future, jinwowo will continue to tap the value of blockchain technology in the commercial field, give full play to the advantages of big data services, add value to user behavior, break the ice for the development of small and medium-sized enterprises, and build a real, efficient, safe and honest Internet community of destiny.

5. Haier is now building a borderless platform model. Decentralization and borderless is the performance of Haier's strategy. Since 2005, Haier has been innovating its organizational structure, introcing the form of "independent business entity", breaking the organizational boundary and taking the road of platform transformation. Centralize the vertical structure of the organization, abolish the bureaucracy, and establish a self driving and sharing platform mechanism among departments and processes. The significance of this improvement lies in connecting more than two supply and demand sides through the unbounded way of thinking, creating a huge potential value

management ideas and models that are worth learning

6. 1. Line optimization: before the big data, the design capacity of a residential area may be very large, but in fact it is just a waste. The residential area does not consume as much power as expected, and the laying of underground cables can be more accurate if there is big data

2. If you have a user's electricity consumption data, you can actually know the user's consumption level. In the future, you may be able to provide some accurate services. For example, if a user's electricity meter does not go all the year round, the house may be vacant. One day, the electricity consumption will increase greatly, and the house may have been renovated. Is it time to buy all kinds of home appliances in the future

3. Distribution of power to deliver power to the place where it is really needed

4. Is wind power, nuclear power, coal power, or hydropower better for capacity optimization? Big data may help you answer this question

5. For equipment maintenance, enter the data information of all equipment, which equipment should be maintained and replaced at a glance

to say so much, it's still very far to reach that day. Now most big data still stays on the surface, and there are not many integration with instry. Call my name, scan my big head post, and find out more about the beauty of big data.

7. Power system state estimation has been paid more and more attention since it was put forward in the 1970s. At present, the level of dispatching automation is constantly improving. Various dispatching automation software urgently need accurate real-time database as the basis of its calculation. State estimation has become an important part of EMS or DMS management software. In the actual operation of power system, e to the measurement and measurement channel error and possible interference, indivial measurement may have large error, the existence of bad data will cause great difficulty to estimate, even lead to estimation failure. Therefore, the reliable detection of bad data is the key to the application of state estimation in practice
bad data detection generally refers to dividing the real-time measurement data into two
data sets: reliable data and suspicious data, and then identifying the suspicious data to find out all the bad data, so as to ensure the smooth progress of the estimation. The existing bad data detection methods can be generally divided into two categories, one is quantity measurement
resial
detection, this kind of method is simple and intuitive, but there are some problems such as "resial pollution" and "resial inundation", which can not reliably detect many bad related data; On the premise of the last estimation result is correct and the network structure remains unchanged, and the load changes little, this kind of detection method can accurately detect multiple bad related data. Based on these two detection methods, this paper proposes a basic criterion to automatically select the detection method suitable for the current state according to
real-time network information.

8. 1 With the widespread access of distributed generation, power dispatching and optimal control will become more complex, and the interaction and cooperation between power supply enterprises and power users will be closer 2 In the traditional market composed of power supply enterprises and power users, there will be virtual power plants, distributed photovoltaic, electric vehicle charging and swapping and other third parties, which will change the original market order. A large number of power sales companies will rush into the market, and power supply enterprises will face the risk of being "piped" 3 With the establishment of the power trading center, the pricing function, trading function and data service function of the power trading market will continue to improve, and the competition will become more diversified and intense 4 A set of efficient and interactive three-dimensional demand management mechanism will be established between power grid and power users, between power grid and power selling enterprises, and between power selling enterprises and terminal procers and sellers 5 Under the strong support of communication and information technology, the power market will realize information sharing, facility sharing, real-time cooperation and intelligent decision-making. 3、 Analysis of competitive advantages and disadvantages of power supply enterprises at present, more and more enterprises have participated in power business, such as BYD in distributed energy; Telecom companies such as Huawei, ZTE, Xiaomi and Internet companies will also participate in the emerging business. Compared with these competitors, the advantages of our power supply enterprises are mainly reflected in the large customer group, rich power grid technology experience and high-quality professional staff. But at the same time, we also have some problems, such as the immature use of Internet and other emerging technologies, more restrictions on the existing system and process, and slow transformation of large enterprises. Table 1 Comparison of advantages and disadvantages between power supply enterprises and competitive entities advantages and disadvantages of competitive entities large existing customer groups of power supply enterprises; Accumulate rich power grid technology and experience; Knowledge accumulation of electric power marketing service. The scale of the enterprise is large and the transformation cycle is long; The application of Internet and other emerging technologies is not mature enough; The business mode is not flexible enough, and there are many restrictions. Stable energy supply for power generation enterprises; Rich data accumulation; Strong R & D capability; Stable customer channels. Lack of sensitivity; Lack of innovation in business model; The competition consciousness is weak. Internet enterprises have rich service channels; The innovation ability of service mode is strong; The depth of information is wide. Lack of power proct knowledge; Weak technical experience in power instry; The ability of technology research and development is weak. 4、 Power supply service development and promotion strategy (1) strengthen the concept of full staff, whole process and wholehearted service. Actively promote the construction of customer service system, constantly improve the power grid structure, and improve the power supply guarantee ability; Continuously improve the reliability of power supply, improve the level of power quality; Focus on customer needs, and constantly improve customer relationship management capabilities. It is necessary to further strengthen the service consciousness of all staff in power supply enterprises, and change the traditional "waiting for customers to come" into "taking the initiative" and actively going out. Through the collaborative services of various specialties, we can provide the whole process services for customers before, ring and after electricity consumption, and enhance the credibility and reputation of the enterprise 2 Strengthen the construction of service brand and cultivate loyal customers. Service brand is the long-term accumulated reputation of customers and the soft power of enterprises in the face of fierce social competition. Power supply enterprises should establish brand and proct awareness, learn from other instries' brand packaging and brand operation management experience, continuously integrate and upgrade power supply service brand, update and upgrade power supply service procts, strive to obtain customer recognition and dependence, and graally cultivate customer groups 3 Pay attention to service cost control, improve profitability. Identify the needs of customers, provide the services that customers really need, and avoid excessive service and waste of resources. Through the analysis and application of marketing big data, combined with the electricity demand, habits, value, influence and other factors of different types and groups of customers, the targeted service strategy is formulated. On the basis of ensuring power universal service and personalized differential service, we should integrate service channel resources, optimize the allocation of physical business hall, promote and popularize remote service channels such as wechat, network hall, palm hall, and low-cost service methods such as electricity charge bank dection, so as to achieve a reasonable balance between enterprise cost and operating profit 4 Optimize process rules and improve business convenience. By benchmarking, we can learn from the humanized measures that the customers of Hong Kong Zhonghua power can quickly use all the electricity business only with their ID cards, further simplify the business process, so that the business process setting of power supply and consumption can not only meet the requirements of the government, reasonably avoid the business risks of the enterprise, but also improve the business convenience and subjective perception experience of customers 5 We will promote scientific and technological innovation and enhance our talent and technological advantages. Strengthen the power marketing technology innovation, application of cutting-edge technology means, provide information platform support for business, field service and other work. Strengthen the management of meters, strive to provide a transparent, fair and reassuring trading environment for both sides of power supply and consumption, and also provide strong technical support for the investigation, evidence collection and power recovery of power theft cases. Power supply enterprises also need to rely on the advantages of power professional technology, establish scientific research and training base, cultivate professional and technical talents, and enhance the advantages of power supply enterprises' talent and technical resources.

9.

1、 Why should we carry out power supply marketing innovation?

large power consumption customers, especially instrial and commercial customers, are the main profit sources of power supply enterprises. With the deepening of power system reform, after the establishment of power sales company, large power consumption customers will be the main target of market competition. How to establish deep marketing relationship with large power consumption customers Controlling the stock market and incremental market is the main problem faced by power supply enterprises. In addition, in order to cope with the power system reform on the selling side, seize the market opportunity, firmly grasp the power market of large power consumption customers, in the established power supply and consumption relationship, through providing new procts and services to customers, meeting the potential needs of customers, and helping customers rece costs, the in-depth marketing relationship with customers is established, By creating value for customers, we can achieve the goal of occupying the customer market

Second, how to measure the power supply marketing innovation work

innovation work is not self entertainment, nor blind random trial, only from the two aspects of providing new services and procts or recing costs, specifically in the power marketing, we can start from two aspects: 1. Through the real-time collection of customer information and the use of existing data acquisition devices, the use of big data means to analyze the potential needs of customers, including financial needs, market needs, technical transformation needs, etc., by mobilizing resources in the State Grid platform to meet customer needs, create value for the proction and operation of customers. 2. Help large power consumption customers rece costs. One is to help customers rece the cost of electricity, and help customers optimize and formulate electricity strategy within the existing electricity price standard to rece the cost of electricity; The second is to help customers rece energy costs, and cooperate with other energy departments such as natural gas to develop energy use packages for customers; The third is to help customers rece proction costs, using the resources of State Grid platform to help customers rece proction costs in centralized procurement, equipment selection and other aspects

How to explore the potential needs of power customers (1) using big data to identify the needs of power customers (2) in the era of big data, written by Victor myershenberg and Kenneth kukeyer, big data refers to the use of all data for analysis and processing instead of the shortcut of random analysis (sampling survey). 4V features of big data: volume, velocity, diversity and value. In the past marketing research, researchers often use the way of sampling to investigate customer needs. The demand sampling obtained by this way is hierarchical and fuzzy, and can not accurately obtain the actual needs of customers. With the continuous progress of electronic information technology, especially the deepening application of big data technology, it is possible to accurately locate the potential needs of indivial customers through big data means

(2) definition of big data of power supply enterprises after power supply enterprises establish power supply and consumption relationship with power customers, a large amount of data will be generated in the work of electricity charge settlement, electricity inspection, load monitoring and high-quality service, and not all data are valuable. We should choose the valuable data to establish the database. In addition, the establishment of database is only the basic work to realize big data. The most important thing is to establish a scientific and effective calculation and analysis method to realize the "value-added" of data through "processing". Valuable big data for power supply enterprises: 1. Electricity sales curve 2. Load curve 3. Customer price data 4. User equipment information 5. Customer demand information 6. Customer complaint information

(3) what problems can big data construction solve for power supply enterprises? 1. The power instry, especially the power marketing instry, is facing reform. How to obtain the first mover advantage in the reform Seizing the advantageous position is the main problem to be solved in marketing innovation. The purpose of establishing a big database for effective processing and analysis of big data is to point out the direction and focus of power marketing work, put the limited human and financial resources into the most effective work, master the customer resources, make it more convenient and fast for customers to complete payment, inquiry and other power business, and enhance the terminal experience of customers, Let customers recognize the marketing work of power supply enterprises and establish the brand of State Grid in the eyes of customers. 2. Solve the problem of internal management of power marketing. The implementation of big data work, the use of information technology to guide the specific work of marketing, and the adjustment of internal management interface can effectively save the internal management cost and labor cost of power supply enterprises, free up more human and material resources to do the corresponding marketing management and marketing service work, and change the existing problems of "too much work, low quality" in the current marketing work of power supply enterprises, Using information technology to improve the overall level of marketing management. 3. Solve the problem of power marketing development potential. After the establishment of big data, it can timely obtain customer data and effectively analyze historical data, realizing the point-to-point contact between enterprises and customers, laying a solid foundation for future power marketing business development and work innovation

Four, big data construction to meet the potential needs of customers work ideas

1. use big data to analyze regional load growth, ahead of time, reasonable setting of substation, switching station, line cable and other power supply equipment capacity, interval number and model. For example, we can grasp the power consumption, load distribution and load growth of each household in mature residential areas, scientifically calculate the overall load distribution and growth trend through data analysis and mathematical modeling, and provide scientific guidance for the design of power supply facilities in new residential areas combined with the design standards of power supply equipment, so as to achieve accurate control of regional load balance

2. use big data to analyze the power consumption, load distribution and time load of instrial users, analyze the economic operation cost of customers, find the potential technical transformation needs of instrial customers, provide technical transformation basis and economic feasibility analysis for electric energy substitution, energy conservation and emission rection, and provide power supply enterprises with additional promotion work, electric energy substitution work, energy saving and emission rection work Energy saving company technical transformation work to provide accurate and effective customer groups

3. through big data analysis, we can judge the consumption ability and consumption focus of residents and enterprise customers, and provide accurate data support and help for a series of marketing strategies and advertising focus of State Grid. For example, a family can be divided into different consumption levels according to the different monthly electricity consumption, and the proct demand is also different. Through effective advertising, the State Grid mall can effectively meet the customer demand and open the customer market; Similarly, the growth rate of a family's load can also reflect the change of its consumption ability. For families with fast load growth, some high-end consumer goods can be recommended. For families with negative load growth, low-quality consumables can better meet the needs of customers. 5、 Conclusion in the face of power system reform, it is more important to clarify the idea than blind test. The terminal of power marketing is customers, and the main profit source of power marketing is instrial and commercial customers with large power consumption. Therefore, it is the real need of power supply enterprises to consolidate the marketing foundation, meet the potential needs of customers, and create value for customers. Providing good power for customers is only the basic work, and other power sales companies can also do it, which is the "buying point" of power marketing; Only through the innovation of power marketing, meeting the potential needs of customers and creating value for customers, can we grasp the "pain point" of power marketing. There are two ways of marketing innovation. One is to provide customers with new procts and services; Second, rece the cost of procts and services

   in a word, through marketing innovation, meeting the potential needs of customers, creating value for customers, and establishing deep marketing relationship with customers, we are bound to obtain the first mover advantage and consolidate the market share in the reform of power system on the selling side