Power data

With the acceleration of urban construction , Improving the fire rescue mechanism has become a top priority , Big data provides important technical support for this , Make it play an important role in building intelligent fire protection system . Big data technology is mainly through fire data information collection 、 Integrate 、 Handle , It is widely used in improving urban fire prevention and control ability and implementing fire rescue mechanism , Make it build the infrastructure of intelligent fire protection , In realizing automatic fire prevention and control 、 Intelligent rescue command 、 Give full play to its advantages in fine service management .

With the advance of information construction , The power industry is in daily production 、 In operation and management, large-scale 、 Multiple kinds of data information , The traditional data processing mechanism is faced with a lack of power to process large-scale data 、 Poor timeliness , For example, the image and video data processing capacity is obviously insufficient . Application of big data technology in power grid , Rely on the power of the cluster to analyze and process the data , Support semi-structured and non institutional data processing capabilities , Break through the bottleneck of traditional technology , Has brought about great technological changes , At the same time, it is optimizing the management of power enterprises 、 Improve enterprise value 、 Innovating the power business model , They all played a huge role .

1、 There is a risk of data leakage of big data in the power industry

Electricity throughout its “ Hair 、 transport 、 change 、 transfer 、 with 、 use ” In the cycle of , Every link 、 Massive amounts of data are generated every moment , For example, in the process of power grid operation, the equipment status information is obtained in real time or regularly through various sensors , If only the main network equipment is covered, the order of magnitude can reach TB level . These data can greatly promote the smart perception of power grid 、 Improve the internal control ability and user service efficiency , But if the data provider collects data 、 transmission 、 Storage 、 Handle 、 Unable to implement effective control during use , Then it may cause massive sensitive data leakage .

2. Big data in the power industry is more likely to become the target of network attack

Electricity as the key infrastructure of each country , Once a cyber war occurs, it will inevitably become the preferred target of cyber attack , for example “ Power outage in Ukraine ” still “ Jarnet virus ” Attack on Iranian nuclear facilities . Obtain power big data value information through attacks , It can analyze the power consumption distribution of the attack target 、 Location of critical information infrastructure , Tamper with the monitoring and early warning information of key nodes 、 Operation instructions and other key data , Cause power system failure or major safety accident . meanwhile , Power grid is a public utility enterprise , Serve the public ,

Advantages of power data

1、 Safety assessment and fault diagnosis

Equipment running status monitoring based on data mining technology ： be based on DCS、PI Real time data and massive historical data of the system , Combined with other third-party system data （ For example, weather conditions 、 Historical data of power grid dispatching, etc ）, Establish the safe operation state model of the unit , Data mining technology can automatically find some abnormal data distribution , So as to expose abnormal changes in equipment operation , Analyze potential unsafe factors , Assist the operation and maintenance personnel to predict the operation status of the unit , And quickly find out the scope of the problem, repair and take countermeasures in time .

2、 Power generation production decision and control

Decision support and control based on data mining technology ： Decision support , The main function of power generation enterprise portal system is statistics and display , No decision-making information is provided （ For example, the monthly power generation index of a power plant 、 How to formulate annual business indicators ）; In terms of control , In case of abnormal conditions of the unit , At present, it is still a control method based on expert system , That is, relying on experienced experts （ Shift supervisor ）, At this time, the amount of data presented to experts ranges from dozens /min Instantaneous rise to dozens of /s, The surge in data volume makes experts have greater pressure when dealing with abnormal conditions , Therefore, this control method can not meet the production requirements . Data mining technology has the ability of qualitative analysis . Remove redundant information from large amounts of data , The fault features of each state can be extracted , To judge the status of the unit 、 How to deal with faults quickly 、 The basis for accurate decision-making .

The concept of data centric informatization has sprung up , It is gradually changing the traditional idea of information work , Promote the deep integration of informatization and industrialization , Bring a new working mode and business model to the power industry . In the near future , Power big data will certainly transform the traditional power production 、 Marketing mode , Make the electric power industry appear in the development of national economy with a brand-new posture .