Build analytical models to provide early warning forecasts
Telecommunications big data helps epidemic prevention and control and resume production
Core reading
The statistical analysis of big data technology is statistical big data formed based on a large number of network signaling, which does not involve the personal information of the general population; and the data collection is carried out in accordance with the principle of minimization, and the data is designed to prevent attacks in all aspects of data circulation and use , Anti-leakage, anti-theft and other security protection technology can ensure the safety of relevant data.
Our reporter Hou Jianbin
On March 6, the WeChat Mini Program "Communication Trip Card" was launched nationwide. This means that mobile phone users across the country only need to open the "Communication itinerary card", fill in the mobile phone number and verification code, and they can obtain their travel certificate for the place they visited for more than 4 hours in the past 14 days.
"Every day when you enter the building, you have to queue up for a trip inspection. There are major security risks." Ms. Wang, who is working in an office building in Wangjing, Beijing, is very pleased that since the communication trip card was available, the inspection efficiency has improved significantly. There is no longer a long line when entering the building.
Zhang Xueli, deputy director of the Institute of Cloud Computing and Big Data of the China Academy of Information and Communication Technology, said that the "communication itinerary card" obtains mobile phone signaling data through the base station location of the user's mobile phone. The collection, transmission, and processing of signaling data are fully automated. And there is a strict security privacy protection mechanism, which can fully protect user privacy.
Experts in the industry told the "Legal Daily" reporter that big data has played an irreplaceable support role in a series of epidemic prevention and control links such as epidemic surveillance analysis, virus traceability, prevention and control, and resource deployment. Based on the analysis and application of telecommunication big data, it has played an important role in supporting epidemic prevention and control and resumption of production. It not only realizes statistical analysis and early warning of personnel movement and distribution, improves the inspection of key groups by relevant departments, but also resumes production of enterprises. Provide precise support.
Big data analysis has important reference significance
The new crown pneumonia virus is a new virus that needs to be continuously deepened. The use of telecommunications big data to support epidemic prevention and control is also a new thing. It is also very cautious before analysis and application.
On January 27, the Ministry of Industry and Information Technology held an outbreak prevention and control big data expert conference. At the meeting, an expert group for telecommunication big data analysis for epidemic prevention and control was established. The expert group has three operators in charge and academicians of the two academicians as consultants, and gives expert suggestions on how to link telecommunication big data to applications and privacy protection.
Subsequently, the three telecommunications operators began to act, each showing its magic under the premise of complying with laws and regulations and ensuring user privacy.
"China Mobile establishes a screening model for high-risk contact users for specific users, and assists provincial-level joint prevention and control agencies to carry out local epidemic prevention work." Jian Qin, vice president of China Mobile Communications Group Co., Ltd., revealed that China Mobile is based on a large user base and wide network coverage. Features such as complete data dimensions, focus on key areas and key time nodes, and conduct analysis on user group traffic and flow in key areas.
"China Unicom has established 13 big data models including regional population movements, and developed big data platforms based on population movements for epidemic prevention and control, risk forecasting, etc." said Bai Yanzhou, deputy general manager of China United Network Communications Group Co., Ltd., a big data platform. It can monitor the flow of people in key areas, return to work and return to work, and visually display the results.
China Telecom provided roaming user analysis and key population flow reports to relevant departments such as the Ministry of Industry and Information Technology, and developed more than 20 application models and labels.
"Using telecommunication big data analysis and statistics of the movement of personnel, it has important reference significance for supporting service epidemic situation research and judgment, epidemic prevention and control deployment, and mobile personnel's epidemic monitoring and accurate policy." Han, director of the Ministry of Industry and Information Technology Information and Communications Administration Han Xia said.
Establish a joint work mechanism for big data sharing
According to Han Xia, in order to give full play to the role of telecommunication big data support services in the prevention and control of epidemics, the Ministry of Industry and Information Technology has established a telecommunications big data support service with the leadership of the branch management department as the group leader and the three basic telecommunications company chairman as the deputy group leaders. The epidemic prevention and control leading group coordinated and coordinated related work.
At the same time, strengthen the communication between the Ministry of Communications and the Province, organize the Communications Administration, the China Academy of Information and Communications Technology, and basic telecommunications enterprises to establish a joint working mechanism for the prevention and control of epidemic situation in the communications industry; Share information with relevant departments regularly or on demand.
In addition, in order to improve the ability of cross-network system analysis, a project team with extensive participation and clear division of labor, including telecommunications authorities, basic telecommunications companies, equipment manufacturers, and system integrators, has also been established to initially realize personnel roaming to the situation analysis and close contact with the country. Functions such as alarm distribution.
Zuo Xiaodong, deputy director of the China Academy of Information Security, told reporters that big data has played an irreplaceable support role in a series of links in the epidemic prevention and control; especially big data in telecommunications, due to the large scale and coverage of users The characteristics of extensive and large amount of data play a significant role in tracing the source of the epidemic, monitoring and analyzing the situation.
However, Zuo Xiaodong also said frankly that big data is gathered from personal information. At present, the situation of illegal collection and abuse of personal information in the society is still relatively serious. If this problem is not handled properly during the epidemic, it may have a great negative impact. , And ultimately endanger the overall situation of the epidemic.
The Central Cyberspace Office also noticed this problem. The “Notice on Doing a Good Job in the Protection of Personal Information and Utilizing Big Data to Support Joint Prevention and Control” (hereinafter referred to as “Notice”) requires that both the joint prevention and control of the new crown pneumonia epidemic situation be completed. The protection of personal information in China must also actively use big data, including personal information, to support joint prevention and control.
Zuo Xiaodong noticed that the notice clearly collects the personal information necessary for joint prevention and control. It should refer to the national standard "Personal Information Security Standards" and adhere to the principle of minimum scope. At the same time, it encourages capable enterprises to actively use large-scale companies under the guidance of relevant departments. Data to provide big data support for joint defense and joint control work.
"At present, many people have two misconceptions about the collection and use of personal information in epidemic prevention and control: one is that these personal information are too sensitive to be used, and the other is that they can be used casually in emergency situations." Zuo Xiaodong believes that Central Network Information The notice issued by the Office clearly responds to these two misunderstandings.
Zuo Xiaodong told reporters that during the special period of epidemic prevention and control, telecom big data can obviously be used reasonably according to law and regulations, but different protection measures must be adopted on different occasions. For example, when conducting a group analysis, it cannot be accurate to an individual; when a person scans a QR code to verify that he has visited a place, it is limited to the personal retention and display to epidemic prevention personnel.
Data resources related to the epidemic need to be integrated
According to experts, the telecommunication big data used in the epidemic prevention and control are derived from the basic data in the public communication network. Not only can it accurately analyze the movement of people in provinces and cities across the country and in key regions, but generally they can also analyze the flow to districts and counties. And distribution.
Liu Duo, president of the China Academy of Information and Communications Technology, said frankly, "If combined with data from other departments such as health and epidemic prevention, further analysis and judgment can be made on the distribution of key populations such as confirmed patients, suspected patients and close contacts."
Prior to the release of the “Communication Itinerary Card”, the three basic telecommunications companies provided users with their “inquiries to visit places within 14 days” based on telecommunication big data analysis based on the telecommunication big data analysis based on the needs of epidemic prevention and control.
Han Xia said that this type of inquiry service can help relevant departments improve the efficiency of checking the itinerary of mobile workers, and it is especially helpful to resume work and resume production in the current situation.
Whether telecom big data analysis will violate user privacy has attracted attention from all sides. Han Xia explained that the statistical analysis of big data technology to provide information such as personnel distribution, flow and regional early warning required for epidemic prevention and control is statistical big data formed based on a large number of network signaling, and does not involve personal information of ordinary people.
"Data collection is carried out in accordance with the principle of minimization, and data protection and technical measures such as anti-attack, anti-leakage, and anti-theft are designed in the data flow and use to ensure relevant data security." Han Xia said in management. The Ministry of Industry and Information Technology also formulates strict management standards, strengthens personnel management and data classification management to prevent violations such as data leakage and data abuse; in the use of data, relevant data is required to be provided in accordance with the joint prevention and control mechanism and the health prevention and control department, and the data is limited to The need for epidemic prevention and control.
"At present, telecommunication big data analysis plays an active role in epidemic prevention and control, but there are still certain difficulties and difficulties in application. For example, the integration of big data resources needs to be strengthened." Han Xia admitted that the data resources related to the epidemic involved medical care. How to integrate these decentralized big data resources in a more timely and effective manner in order to make big data analysis more comprehensive and accurate requires further improvement.
Han Xia said, “The support services for epidemic prevention and control need to be deepened.” The big data analysis model based on telecommunications can realize the statistical analysis and early warning of the movement and distribution of personnel, but in terms of risk assessment and accurate prediction and research of the epidemic In addition, the coordination of medical, meteorological, and demographic fields is also required to make better use of the support services of big data analysis.