Xianning Smart Environmental Protection Platform
Construction of environmental supervision system covering monitoring, early warning and decision-making
Editor: STOYARD BEIJING2021-07-14
2021
This project focuses on the digital upgrading of regional ecological environment supervision, and builds a set of environmental quality monitoring platform covering the whole process of environmental protection work for Xianning. The system integrates data analysis, regulatory decision-making, big data information and public services, and subdivides it into multiple professional subsystems to form a unified and efficient intelligent environmental protection management system.
The core design challenge is to establish clear order in the huge scale of data and complex business relationships. Through modular information architecture, unified component specifications and multi-level data visualization, we organically connect monitoring, analysis, early warning and disposal processes. At the same time, maps, charts and key indicators are used to establish intuitive information expression, so that managers can quickly understand the regional environmental quality, find abnormal changes and track the source of problems.
Visually respond to environmental regulatory scenarios in a calm and rational scientific and technological style, enhancing the efficiency of identifying key information and abnormal states while ensuring data density. In the end, the platform not only assumes the function of data display, but also becomes a digital infrastructure connecting environmental monitoring, business collaboration and management decision-making.
The platform covers the whole process of environmental protection work, integrating data analysis, regulatory decision-making, big data information and public service platform, and is subdivided into 17 subsystems.
The digital age has spawned a new ecological model, and high-frequency data interaction drives businesses to gradually migrate to digital. Both material producers and cultural exporters must adapt to changes in order to meet the refined needs of consumers, and many large enterprises have also entered transformation under this era of change.
CECEP is the only state-owned enterprise whose main business is energy conservation, emission reduction and environmental protection. With the advent of the digital age, CECEP, as a large-scale enterprise that has undergone many optimizations and changes, takes "aggregating bits and pieces to create infinite" as its business philosophy, and strives to create a "whole industrial chain" that is energy-saving and environmentally friendly.
In 2021, STOYARD will cooperate with CECEP to build an environmental quality monitoring platform for Xianning.
The Xianning environmental quality monitoring platform system has opened up the whole process of supervision and realized the transformation and upgrading of regional ecological environment supervision. The platform covers the entire process of environmental protection work, integrates data analysis, regulatory decision-making, big data information, and public service platforms, and is subdivided into 17 subsystems.
In this project, we hope that through the design of big data, we will finally realize the "scientific, strict, refined, and long-term" management of the environment, so that the complex data can be turned into a visual system of images, graphs and texts.
The multi-platform intelligent management and control system for comprehensive management of Xianning water environment takes the rapid response of environmental monitoring data, the unified coordination of business data, and efficient analysis and processing as the primary goals. Therefore, how to efficiently, accurately and clearly integrate such a huge "information volume" is the first difficulty that the STOYARD team will overcome after undertaking this project.
Through research before design, we extracted some keywords from customer needs to standardize the design direction. The words "infinity, intelligence, technology, future" make it clear that our designs should spread around these points.
The trend of data changes is more intuitive. The data information is displayed on the large screen through the combination of graphs and figures such as bar charts and line charts. The changes of information are more clear at a glance, which is convenient for users to view the current information and the comparison between information in real time.
The trend of data changes is more intuitive. The data information is displayed on the large screen through the combination of graphs and figures such as bar charts and line charts. The changes of information are more clear at a glance, which is convenient for users to view the current information and the comparison between information in real time.
In the process of designing the data visualization interface, the difficulty lies in how to layout and typeset the complex and numerous information, and how to combine the charts to make the information more concise and intuitive, which is both powerful and beautiful.
The whole system has become a large-screen display system with high brightness, high definition, high intelligent control and advanced operation method.
In the process of designing the data visualization interface, the difficulty lies in how to layout and typeset the complex and numerous information, and how to combine the charts to make the information more concise and intuitive, which is both powerful and beautiful.
The whole system has become a large-screen display system with high brightness, high definition, high intelligent control and advanced operation method.
In visual design, we improve the framework logic by customizing icons, tables, and sorting out the position of the text area to achieve the balance of each element. Users can easily find something and quickly understand the meaning of the data.
The overall design scheme must ensure the aesthetics of the interface while optimizing its function and experience.
We bring a large screen full of personalization, layering, and space through design. The use of color is more convenient to highlight important data content with different meanings, bringing a different comfort to the office.
We hope that good content will be presented in a beautiful, smooth and intuitive way; the content will be reasonably arranged so that it will finally present a logically clear and visually eye-catching effect, which can match the concept and status of the Great Group.
In accordance with the concept and framework of "digital environmental protection", we adopt a unified data model and data standards to establish a multi-source, multi-temporal, multi-scale environmental emergency and comprehensive management decision-making information platform, realizing information exchange and sharing in multiple fields.
The essence of data visualization is the mapping from data space to graphic space, and it is the concrete expression of abstract data. When we understand this underlying logic, we will understand that all designs for data visualization are to more vividly express the inherent information and laws of data, and to promote the dissemination and application of data information.
In this project, we hope to increase the readability of interface data through design creativity, technological innovation, and text sorting, so that the large-screen visualization will not be "visual", but also can communicate, interact, and be more dynamic.
CECEP is a large technology enterprise. With the advent of the all-digital era, the use of digital technology to build intelligent systems and operation processes, intelligent and efficient office methods can bring convenience to enterprises and reduce operating costs.
Based on the needs of the other party, we use leading technology and think tanks to effectively build a new ecosystem of innovative services for enterprises.
The important value of visualizing large-screen applications is to understand the displayed data. So our ultimate goal is to allow the viewer to intuitively and accurately understand the information conveyed by the interface, and to gain insight into the information behind the unknown data.