Leveraging Epidemic Management Experience to Advance Grid-Based Smart Community Information Management

Leveraging Epidemic Management Experience to Advance Grid-Based Smart Community Information Management

1. Demand Analysis:

1.1. The arrival of the COVID-19 pandemic has brought new changes to community information management;

1.2. Thanks to the superiority of the social system, prevention and control measures were strictly enforced

1.3. Major companies such as Alibaba and Tencent responded swiftly, providing a large number of information software solutions

1.4. Remote work from home, remote education, and remote outpatient services have withstood the test and gradually become habits

1.5. Intelligent information software requires supporting hardware prevention facilities. During this battle against the epidemic, temperature measurement guns and systems were in extremely short supply and sold at exorbitant prices, with the temperature sensor market experiencing supply disruptions. This revealed deficiencies in routine system construction

1.6. Networked information prevention and control systems are underutilized. Many places still rely on manpower-intensive tactics such as manual temperature measurement, paper records, telephone reporting, telephone check-ins, and door-to-door manual statistics, resulting in extremely low efficiency and numerous steps with cross-infection risks

1.7. Insufficient networked system reporting. Government grid-based management has been implemented for many years in various regions, but in many places it remains a conceptual implementation. Grid-based management software is not fully applied and is not interconnected with call centers or community IoT systems, failing to leverage community big data management functions during this epidemic prevention effort

1.8. Insufficient data statistical analysis: daily entry and exit counts, management of key populations, management of newly arrived personnel, reduction of outgoing personnel, community disinfection and sanitation management, various incident management, notifications and reporting, community certificates and archives, etc., all depend on daily big data accumulation, requiring systems with big data collection and automatic statistical functions

1.9. Traditional Internet solutions have revealed their shortcomings, and comprehensive IoT big data solutions are emerging as the way forward

2. An Information System Satisfying Community Informatization Needs

2.1. GIS Grid Technology: achieving correspondence between personnel and residential premises, with complete personnel archives

2.2. IoT Technology:

2.3. Community Merchant APP: service information publishing, real-time queue information; housekeeping service records

2.4. Community Inspection APP: security patrols, sanitation cleaning records, asset inspections, logistics maintenance, etc.

2.5. Resident APP Smart Park APP: online payments, service applications, access control for entry and exit, receiving community notifications, online community activities, etc.

2.6. Community Call Center, Command Center, and Emergency Management: the call center manages inbound and outbound calls from users; the command center enables rapid calling and response to known personnel within the management team; emergency management handles the dispatch of personnel, materials, and facilities by region according to pre-defined plan procedures

2.7. Community Command Center: visual display and big data processing, AI artificial intelligence. Visual display covers IoT data, website and network traffic data, and management process data

3. Information Scenario Analysis

3.1. Resident entry and exit management

3.2. Resident Smart Community APP

3.3. Community Merchant APP (access control, service information publishing, online intercom)

3.4. Community Management APP (security patrol, logistics inspection, logistics checks, on-site repairs)

3.5. Centralized logistics receiving and dispatching management process

4. Community Comprehensive Security

4.1. Shifting from a focus on crackdown to a focus on prevention, video transitions from primarily recording and playback for case solving to behavior prevention through structured video processing. Fire protection shifts from primarily firefighting to routine IoT big data and inspection big data prevention; transitioning from industry safety to social safety

4.2. Civil safety (personal safety, family safety entrusted management, intrusion, theft, hijacking, injury, gas, flooding, fire prevention), fire safety, environmental safety, health and elderly care, food safety (traceability), logistics safety, public health, and other information operations access

4.3. Demand exists from the demand side, while the supply side is controlled by major companies. How to unite existing small operation and maintenance companies and channel partners, and pursue brand customization

5. Community Emergency Command

5.1. Plan Management: plan process editor

5.2. Training, Drills, and Testing: process drill and evaluation system

5.3. Resource allocation assessment for personnel, facilities, and location areas

6. Community Big Data

6.1. Network Big Data: collecting community website information parameters such as opinions, suggestions, activities, forums, supply and demand information

6.2. Security Prevention Big Data: structured processing of camera data, structured processing of access control audio, access control switch data, and data from other security IoT sensors and actuators

6.3. Community Management Big Data: merchant big data, asset management big data, environmental governance big data, etc.

7. Community Energy Management

7.1. Metering: water, electricity, gas, and heating metering; meter reading

7.2. Control: energy-saving management for public areas

7.3. Billing: notifications and account management

7.4. Facility Operations and Maintenance: energy facility control, inspection, repair, overhaul, and decommissioning

8. Hardware Platform

8.1. Cloud Computing

8.2. Cloud Servers

8.3. Fog Computing Platform

8.4. Community Communication Access Platform

8.5. Network Security Management

9. Introduction to Beijing Ruiguang Jiyuan Digital Technology Co., Ltd. Integrated Technology System (IDM Brand)

9.1. Communication Systems

9.2. Command & Dispatch Systems

9.3. IoT Systems

9.4. GIS Grid-Based Management Informatization Systems

9.5. Converged Media Information Systems

9.6. Big Data and AI Artificial Intelligence Application Interfaces

9.7. IoT Intelligent Terminals

9.8. IoT Control Terminal Types