A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Cell waterlogging early warning method and system based on BP neural network
The invention discloses a community waterlogging early warning method and system based on a BP neural network, and the method comprises the steps: obtaining a plurality of groups of sample data through the historical waterlogging data of a community, taking meteorological information data, geographic information data and drainage information data as input parameters, taking the waterlogging occurrence probability and the waterlogging influence range as output parameters, carrying out the preprocessing, and carrying out the early warning of the waterlogging. The method comprises the steps of determining structural parameters of a BP neural network, constructing and training a BP neural network model, adjusting and testing parameters of the BP neural network model, obtaining the trained BP neural network model to predict waterlogging of a community, and obtaining output parameters of a waterlogging occurrence probability and a waterlogging influence range. Generating different levels of waterlogging early warning information and starting corresponding flood and waterlogging prevention measures; the invention relates to the technical field of hydro-meteorological monitoring and early warning monitoring, and can timely and accurately predict the occurrence probability and the influence range of waterlogging in a community and issue early warning, thereby improving the coping capability of residents in the community and reducing the influence of waterlogging on the life and infrastructures of the residents in the community.
本发明公开了一种基于BP神经网络的小区内涝预警方法及系统，包括：利用小区历史内涝数据获取多组样本数据，以气象信息数据、地理信息数据和排水信息数据作为输入参数，以内涝发生概率和内涝影响范围为输出参数，并进行预处理，确定BP神经网络的结构参数，构建BP神经网络模型并进行训练，调整BP神经网络模型的参数并测试，获得训练好的BP神经网络模型对小区内涝进行预测，获得内涝发生概率和内涝影响范围的输出参数，生成不同等级的内涝预警信息并启动相应的防洪防涝措施；本发明涉及水文气象监测和预警监测技术领域，能及时准确地预测小区内涝发生的概率和影响范围并发布预警，提高小区居民的应对能力，降低内涝对小区居民生活和基础设施的影响。
Cell waterlogging early warning method and system based on BP neural network
The invention discloses a community waterlogging early warning method and system based on a BP neural network, and the method comprises the steps: obtaining a plurality of groups of sample data through the historical waterlogging data of a community, taking meteorological information data, geographic information data and drainage information data as input parameters, taking the waterlogging occurrence probability and the waterlogging influence range as output parameters, carrying out the preprocessing, and carrying out the early warning of the waterlogging. The method comprises the steps of determining structural parameters of a BP neural network, constructing and training a BP neural network model, adjusting and testing parameters of the BP neural network model, obtaining the trained BP neural network model to predict waterlogging of a community, and obtaining output parameters of a waterlogging occurrence probability and a waterlogging influence range. Generating different levels of waterlogging early warning information and starting corresponding flood and waterlogging prevention measures; the invention relates to the technical field of hydro-meteorological monitoring and early warning monitoring, and can timely and accurately predict the occurrence probability and the influence range of waterlogging in a community and issue early warning, thereby improving the coping capability of residents in the community and reducing the influence of waterlogging on the life and infrastructures of the residents in the community.
本发明公开了一种基于BP神经网络的小区内涝预警方法及系统，包括：利用小区历史内涝数据获取多组样本数据，以气象信息数据、地理信息数据和排水信息数据作为输入参数，以内涝发生概率和内涝影响范围为输出参数，并进行预处理，确定BP神经网络的结构参数，构建BP神经网络模型并进行训练，调整BP神经网络模型的参数并测试，获得训练好的BP神经网络模型对小区内涝进行预测，获得内涝发生概率和内涝影响范围的输出参数，生成不同等级的内涝预警信息并启动相应的防洪防涝措施；本发明涉及水文气象监测和预警监测技术领域，能及时准确地预测小区内涝发生的概率和影响范围并发布预警，提高小区居民的应对能力，降低内涝对小区居民生活和基础设施的影响。
Cell waterlogging early warning method and system based on BP neural network
一种基于BP神经网络的小区内涝预警方法及系统
SHEN YUYANG (author) / YUAN DONGHAI (author) / WANG MINHAO (author) / WANG HUI (author) / LI LEI (author) / WANG JIAZHUO (author) / ZHANG CHUNYANG (author) / YAO YONGLIAN (author) / KOU YINGYING (author)
2023-10-10
Patent
Electronic Resource
Chinese
IPC:
G06F
ELECTRIC DIGITAL DATA PROCESSING
,
Elektrische digitale Datenverarbeitung
/
E03F
SEWERS
,
Abwasserkanäle
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06Q
Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke
,
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
/
G08B
SIGNALLING OR CALLING SYSTEMS
,
Signalisier- oder Rufsysteme
Urban drainage pipe network waterlogging early warning system
| European Patent Office | 2022
Well lid for assisting early warning and protection under urban rainstorm waterlogging condition
| European Patent Office | 2021
Urban medium-low-lying pavement waterlogging warning device
| European Patent Office | 2021
| European Patent Office | 2024
Low-lying road waterlogging self-starting protection warning fence
| European Patent Office | 2021