Product Center
蒙自Smart City Lifeline System
Product Description
I. Customer Pain Points
1. Opaque operational status: The pipeline network is buried deep underground and the equipment is scattered, making manual inspections inefficient with numerous blind spots. Hidden risks such as pipe bursts, gas leaks, aging cables, and pipeline blockages are difficult to detect promptly—much like "blind men feeling an elephant."
2. Delayed risk alerts: Relying on post-event responses, it lacks proactive, data-driven predictive capabilities. Risks such as severe rain-induced flooding, pipeline leaks and their subsequent spread, and hidden structural hazards in bridges and tunnels are difficult to detect early, often leading to major accidents—such as road collapses or gas explosions.
3. Difficulties in Departmental Collaboration: “Water, electricity, gas, heat, and communications” are managed by different departments or enterprises, resulting in numerous information silos. During emergencies, this leads to chaotic command and dispatch, inefficient resource allocation, and delays in seizing the critical window for effective response.
4. Insufficient emergency response: Information on disaster situations is slow to gather, situational assessments are often inaccurate, and resource allocation relies heavily on experience. When confronted with complex disasters such as typhoons, floods, and earthquakes, the response tends to be delayed, easily leading to secondary disasters and even greater losses.
5. Inefficient maintenance: Equipment maintenance is often based on fixed intervals or reactive repairs after failures, lacking precise predictive maintenance. This leads to soaring maintenance costs, wasted resources, and an increased risk of equipment operating while still faulty.
6. Passive Public Services: Information about water and power outages, as well as other service disruptions, is often released untimely and imprecisely, impacting people's daily lives. Meanwhile, the public lacks convenient channels to report potential hazards in their surroundings—such as missing manhole covers or leaking pipes.
II. Overview of the Plan
2.1 Comprehensive Intelligent Sensing:
IoT sensing terminals: Deploy smart sensors and monitoring devices capable of measuring pressure, flow rate, temperature, humidity, vibration, gas concentration, video, acoustic signatures, and structural health at critical nodes such as water/drainage networks, gas pipelines, power cables, heating pipes, transportation hubs, bridges, and tunnels.
Stereo Monitoring Network: By integrating satellite remote sensing, drone inspections, vehicle-mounted mobile monitoring, smart manhole covers, and robotic flaw detection technologies, we eliminate monitoring blind spots.
2.2 City-Level Intelligent Central Platform:
Unified Data Foundation: Build a city-level IoT data platform that integrates real-time monitoring data from various lifeline sectors, business system data, geographic information data (GIS), building information models (BIM/CIM), as well as meteorological and demographic data.
AI Intelligent Analysis Center: Integrating machine learning and deep learning algorithms, offering:
Intelligent Diagnosis: Automatically identifies pipeline leak points, abnormal equipment operating conditions, and structural safety hazards.
Risk Prediction and Early Warning: Based on historical and real-time data, we predict pipeline rupture risks, urban flooding hotspots, deterioration trends in bridge structures, and regional energy supply bottlenecks, among other issues.
2.3 Intelligent Early Warning and Risk Management:
Multi-level early warning mechanism: Establish a dynamic, tiered alert system ranging from minor anomalies to critical risks, delivering precise notifications via multiple channels—including platforms, SMS, and apps—to the responsible units and personnel.
A Single Risk Map: Dynamically display a city-wide heat map illustrating the distribution of lifeline risks on the digital twin platform, enabling comprehensive risk visualization and real-time control from a single dashboard.
Predictive Maintenance: Based on equipment operating conditions and predictive models, we precisely formulate maintenance plans, shifting from "reactive repairs" to "proactive maintenance" and optimizing resource allocation.
2.4 Collaborative Coordination and Emergency Command:
Cross-departmental Collaboration Platform: Establish a unified command and dispatch center, integrating resources and processes from departments such as water supply, electricity, gas, heating, transportation, fire services, public security, and emergency management.
Intelligent Emergency Response Plan: The plan is digitized and streamlined, seamlessly integrating real-time disaster data with simulation results to automatically select the optimal预案—and enable one-click activation.
Resource Intelligent Scheduling: Based on GIS maps, this system displays the real-time locations of rescue teams, supplies, and vehicles, while integrating road conditions and disaster situations to intelligently plan the optimal routes and scheduling solutions, thereby enhancing collaborative efficiency.
2.5 Intelligent Operations & Maintenance and Public Services:
Mobile Intelligent Operations & Maintenance: Equip frontline inspection and maintenance personnel with a mobile app to receive work orders, access navigation and location services, view equipment records and blueprints, and report on-site conditions.
Precise Information Dissemination: Timely and accurate delivery of planned supply interruption updates, the scope of impact from sudden incidents, disaster-avoidance guidelines, and more to the public.
Public Engagement Channel: Provide a convenient entry point via an app or mini-program, encouraging citizens to report potential hazards they spot around them (such as signs of road surface collapse or pipeline leaks), fostering a nationwide effort for collaborative governance.
III. Benefit Analysis
3.1 Enhancing Urban Safety:
Reducing accident rates: Early identification of potential hazards and timely warnings can lower the incidence of incidents such as pipe bursts, leaks, and collapses by 30% to 50%.
Reducing disaster losses: Precise early warnings and efficient emergency responses can significantly minimize direct economic losses—estimated to be reduced by 20%–40%—as well as casualties caused by floods, pipeline accidents, and other hazards.
Enhancing Disaster Resilience: In the face of extreme weather and emergencies, the system can respond more swiftly and make more informed decisions, ensuring that critical lifeline functions remain uninterrupted—or are quickly restored.
3.2 Significantly Enhance Management Efficiency:
Reduce inspection costs: Remote online monitoring replaces extensive manual inspections, lowering labor costs and minimizing safety risks.
Optimizing maintenance resources: Predictive maintenance reduces unnecessary inspections and over-maintenance, lowering overall equipment operation and maintenance costs by 15%–25%.
Accelerate fault resolution: Precisely locating fault points and optimizing scheduling processes can reduce the average fault repair time by 30% to 50%.
Enhancing Collaborative Efficiency: Breaking down departmental barriers has significantly improved command and dispatch efficiency, dramatically reducing emergency response times.
3.3 Economic Benefits:
Reduce resource waste: Timely detection and repair of leaks in the water supply network can save significant amounts of water resources and reduce costs annually; while precise heating/electricity supply minimizes energy waste.
Extending Facility Lifespan: Scientific operations and timely maintenance effectively prolong the service life of infrastructure such as pipelines, equipment, and bridges.
Reducing Insurance and Compensation: Fewer accidents directly lead to lower insurance costs and reduced accident-related compensation expenses.
Jiangsu Degao Internet of Things Technology Co., Ltd.
Consulting
+86 15996603530
degao@163.com
Address
No. 158, Xinsheng Road, Nantong, Jiangsu, Maipu Technology Park
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