preface
Under the impact of strong floods this year, a certain photovoltaic power station, due to the piling settlement method, led to the whole power station is basically soaked in water, heavy losses. Even in some areas, due to the serious saturation of water content in the surrounding soil and the lack of protection of green plants, the collapse formed under the scouring of the flood seriously endangers the safety of power stations. Electric power plays an increasingly important role in social life and production. However, the power system is easily affected by floods, typhoons and other meteorological disasters, which will lead to all kinds of power accidents with huge losses and wide influence. So the power industry in the face of natural disasters to make timely emergency safeguard measures is particularly important. In case of emergency, emergency repair personnel can only find problems along the lines in the wind and rain to carry out operations, and may finish emergency repair and restore power supply in the early morning.
Whether it is typhoon or flood disaster in the south, it is urgent to cooperate with flood control and build the visual emergency guarantee mechanism of flood protection power. In the mature environment of 5G technology and the Internet of Things, solutions can turn to the combination of digitization and monitoring visualization means.
Between 2D configuration and 3D configuration, HT for Web products of Hightopo (hereinafter referred to as HT) have a wealth of configuration options. This paper will introduce some visual cases of constructing typhoon hazard prevention measures by using HT’s rich 2D/3D configuration.
Early warning:
Hightopo visual monitoring and early warning, using the data collected by the Internet of Things and sensors, real-time monitoring of power equipment and network cables and analysis of data generation. The 3D visualization system is used to provide a picture closer to the real equipment, which is easy for users to accept and improve the identification of the equipment.
The system carries on the advance warning, carries on the whole life cycle management to the electric power equipment and the power grid line. Targeted contingency plans are developed to target the vulnerable sectors in advance of natural disasters. Emergency response, in the event of floods or other disasters. Monitor, alarm and repair the fault area at any time. Visualized management can not only eliminate risks during natural disasters, but also reduce the demand for manpower to avoid dangers.
Agricultural monitoring:
At the same time, the typhoon’s influence on agricultural flood is very serious, agricultural researchers can use wisdom agricultural greenhouses visualization system, an effective monitoring meteorological environment monitoring: real-time monitoring of air temperature and humidity, light, rainfall, wind speed, wind direction, atmospheric pressure, gas concentration, such as data, and by setting the relevant alarm threshold, instant alarm, precise control plant environmental indicators. According to the satellite data, the system can forecast the weather in the next 72 hours, 24 hours of extreme weather, precipitation probability, strong wind and other abnormal weather warning, to remind users to make timely disaster prevention and risk prevention preparation. Based on the data of the facilities, combined with the monitoring data of the pipe network and the weather and rain conditions, it can provide the decision-making basis for the intelligent division of the urban catchment area, drainage planning and waterlogging prevention prediction.
Case Sharing: Combining Internet of Things and Data Visualization: Smart Greenhouse System in Agriculture
Water Monitoring:
The problem of water accumulation after urban rain can only be effectively solved through the “sponge city” project now carried out by the state. To mitigate urban flooding and heat island effects.
Although it has a complete and three-dimensional construction mode, serious waterlogging still occurs in several pilot cities in China over the years. The lack of connectivity between facilities has led to the ecological collection of rainwater in some cities now becoming “dirty gutters”. In the face of this situation, Hightopo proposed real-time monitoring of water by data visualization, using the collected data and geospatial information to monitor the uninterrupted water flow, and arranging flood discharge tasks according to the actual situation, so as to achieve the interconnection of surface and underground flow data. Providing accurate data allows decision makers to easily control the water cycle of the entire city and make accurate predictions and judgments about disasters. According to all kinds of data collected dynamically in real time, the overall control effect and goal of sponge city are presented through analysis, correlation and processing, so as to realize the intelligent management of urban drainage, water environment, water use and water body monitoring.
A large number of drainage equipment in the city form the corresponding urban drainage system, which is composed of inspection Wells, drainage pumping stations, sewage treatment plants and so on. Inspection Wells, rainwater outlets and discharge outlets in the drainage equipment are connected through the drainage pipe network, and the daily rain sewage is transported and discharged into the drainage pipe network. It can be seen that the urban drainage network has the characteristics of huge structure and intricate structure. In the existing technology, the monitoring and monitoring of the urban drainage network still relies heavily on manual mode, and the level of intelligence and accuracy cannot meet the needs of the existing technology. According to this phenomenon, Hightopo uses the visualization technology to realize the intelligent water monitoring and management system for the city.
Case link: Three-dimensional configuration sewage treatment plant pump station automatic control system
The information method and GIS display are adopted to realize the real-time monitoring of pipe network operation indicators, including the information of pipe network liquid level, flow rate, water quality, gas and pumping station operation status, so as to ensure the safe and efficient performance of the pipe network. Through the construction of a safety early warning platform, the emergency command and rapid disposal ability can be improved to ensure the safe operation of urban drainage pipelines, so that the safe operation of the entire urban drainage pipelines can be grasped, controlled and predicted, and the scientific and advanced city-level hydraulic analysis ability can be provided to more comprehensively evaluate the capacity of urban drainage pipe network. Based on the data of urban drainage facilities, combined with the monitoring data of pipe network and the weather and rain conditions, it can provide decision-making basis for the intelligent division of urban catchment area, drainage planning and waterlogging prevention prediction.
In the long run, after the typhoon and flood disasters this year, more attention should be paid to the improvement of smart water, smart electricity, smart agricultural science and technology to effectively improve the emergency capacity!
2019 we also updated the hundreds of industrial Internet 2 d / 3 d visualization case set, here you can find many novel instance, can also find different industrial Internet: https://www.hightopo.com/blog/1103.html at the same time, you can also see more cases and effect: https://www.hightopo.com/demos/index.html