Product Introduction
DeepDragon ?， It is a globally pioneering and internationally leading intelligent system that can quickly assist in design and third-party efficient operation in designated areas. Quickly and efficiently solve the urgent investment decision-making needs of the rural sewage treatment industry for the automation design, investment cost budgeting, and integrated operation of sewage plants and stations' new pipelines. Compared with traditional design, the efficiency can be improved by more than 50%, and the effective operation rate of assets can reach 100%, achieving 24/7 intelligent operation of the factory network, with broad technological application prospects.
Joining forces with the Institute of Automation of the Chinese Academy of Sciences to establish the China Academy of Sciences Suzhou Research Institute Liding Environmental Protection Joint Laboratory
The world's first international leader
International Technology Novelty Search Report
50+development engineers1000 days of technical research and development 4 core invention patents
Core Technology
In order to solve the problem of obtaining basic data in a designated area, the system adopts a fast aerial modeling method using unmanned aerial vehicles in addition to conventional acquisition methods to achieve data acquisition. Algorithms based on deep learning can automatically recognize features such as roads, houses, and water systems. Realize automatic analysis and rapid identification of goals.
At present, the system has completed model training and learning for aerial image collection data in over 5000 different scene dimensions, with an automatic annotation accuracy of 90%. It can greatly shorten or even replace basic data work such as rural terrain and landform surveying and annotation, greatly improve work efficiency, and save time and labor costs.
In pipeline design, based on the results of feature recognition, scheme design is carried out, considering the complexity of rural houses and roads. At the beginning of the design, we adopted various technologies and algorithms such as road network expansion to extract and purify the road network skeleton, eliminate or reduce false branches in the road network, and prune and purify the road network to make the extracted road network skeleton more in line with the actual road network structure.
Using graph theory, innovatively propose a rural village map model, extract and transform the identified features, and form a rural village map model that digitizes and visualizes the relationship between houses, roads, and their distances and relative heights in the village.
Finally, the graphical data and elevation information are input into the pipeline network generation algorithm. Through multiple iterations, the single source shortest path algorithm is called to integrate the professional design experience collected by multiple design units into design rules.
Combined with the algorithm, the deep learning of pipeline design rules can accurately simulate sewage flow and pipeline pre laying schemes. Reduce the error rate of efficient pipeline automatic design to within 10%.
The system can automatically generate a detailed investment budget list based on the engineering quantity data and cost rules provided in the automatic pipeline design scheme. Realize timely and reasonable budgeting.
In the pipeline design process, equipment selection can be achieved, and the system can select different equipment products and processes based on the regional water consumption data provided by the algorithm, strengthening the integrated management of the factory and network.
The platform provides real-time editing of feature properties and pipeline design, and algorithms can absorb and learn user operation information, enhancing product human-computer interaction capabilities and improving product intelligence level.
The platform also provides a one-stop solution for users to customize map formats for WebGIS visualization development, supporting formats such as commonly used AutoCAD DWG format files, GeoJSON and other commonly used GIS file formats,It uses WebGL vector blocks and custom styles to present interactive maps, providing new big data visualization and real-time streaming data visualization functions. Through this product, pipeline construction design files can be loaded and displayed on GIS maps. Realize integrated management of factory network data throughout the entire lifecycle.
Liding Environmental Protection's decentralized sewage operation platform has created a new decentralized sewage operation model. It can achieve full process autonomy and controllability, with fast deployment, ready to use data access, flexible functional configuration, and low construction costs. In terms of cost reduction, efficiency improvement, risk avoidance and compliance, we aim to increase equipment operation rate, reduce energy consumption costs, decrease manpower inspection time, and improve monitoring and decision-making efficiency. To comprehensively improve the standardization, professionalization, standardization, and intelligence level of operation and maintenance units, and better serve the operation and management of rural sewage treatment.
The system can freely set alarm rules to realize real-time alarm and WeChat official account push, intelligent task distribution, personnel and vehicle sign in and sign out, operation information input and processing, and automatic generation of operation report.
It can reduce manual inspection time by 40%, improve monitoring and decision-making efficiency by 20%, comprehensively enhance the standardization, professionalization, standardization, and intelligence level of operation and maintenance units, and better serve the operation and management of rural sewage treatment.
R&D Process
