Claims:WE CLAIM:
1) A system for monitoring the environment using artificial intelligence comprising of;
a. Acquiring data followed by Combining data such as natural and manmade data;
b. Analyzing the information by analyzer unit present in the database of the website;
c. Reviewing the data followed by filtering the data;
d. Visioning system
Wherein the data include Weather results data; Air Pollution Forecasting data; Flood Forecasting and river monitoring data.
2) The system for monitoring the environment using artificial intelligence as claimed in claim 1, wherein the said data obtained is classified and various data related to atmospheric, surface and subsurface constituent features, particular pollutant, vegetation type, land characteristic, attribute, or object, are collected.
3) The system for monitoring the environment using artificial intelligence as claimed in claim 1, wherein the said system is a remote sensing system present in the database of the website.
, Description:FIELD OF THE INVENTION:
The present invention relates to collection of data relating to environment. The present invention more particularly relates to a system for monitoring the environment using artificial intelligence.
BACKGROUND OF THE INVENTION:
The environment is a complex and dynamic system where different aspects can lead to the same impact (e.g., the emission of global warming gases), while other actions might combine synergistically to create an impact which is much greater than that which would be predicted using a reductionist approach (e.g., nitrogen dioxide and hydrocarbons can react to produce tropospheric ozone). Many environmental problems, such as damage to the biosphere, local air pollution, the spread of harmful substances in the water, and global climatic changes, cannot be studied by experimentation.
Environmental concerns are relatively new to local and regional jurisdictions. To date, the gathering of data relating to the environment is largely manual and trend analysis is usually derived by extrapolation. The questionable accuracy of such data and analysis can contribute to creation of gross errors. These errors can cause unnecessary and very costly remediation expenses or can result in enormous health costs. Local government officials that use the available environmental data within existing analysis procedures cannot provide concise presentations due to the poor fit between the available data and the decision making processes. Moreover, inter-relationships between multiple environmental factors and Secondary aspects of costs and ultimate environmental impacts are too complex for current procedures to permit accurate and understandable conclusions for review by decision makers within the jurisdiction. To date, the Synthesis of data into rational data bases and correlation of Such data with financial data has been essentially a manual process with Some help from Spreadsheet analysis.
The resulting models are elementary and lack the dynamics of integrated components and a robust visually perceivable image or output. The financial costs are elusive and difficult to discount to net present values as they are derived from multiple disciplines and usually account to future generations. As a result, the lack of Specific justifiable and predictable models results in heated public debates with regard to management of local and regional environmental assets. As public health is also at risk and has a long term effect upon taxpayer resources, the public is poorly served by current environmental monitoring efforts in communities that are increasingly polluted.
So there is a need for a system for monitoring the environment using artificial intelligence. The present invention is able to process large amounts of data very quickly, and draw conclusions from that information. The present invention helps in monitoring endangered species, track diseases, and optimize crops.
OBJECTS OF THE INVENTION:
The main object of the present invention is to provide a system which is able to process large amounts of data very quickly, and draw conclusions from that information.
Another object of the present invention is to provide system for monitoring the environment using artificial intelligence.
Yet another object of the present invention is to provide a system for helping in monitoring endangered species, track diseases, and optimize crops.
Other objects and benefits of the present invention will be more apparent from the following description, which is not intended to bind the scope of the present invention.
SUMMARY OF THE INVENTION:
Accordingly, a system for monitoring the environment using artificial intelligence is disclosed. A system for monitoring the environment using artificial intelligence comprising of;
a. Acquiring data followed by Combining data such as natural and man made data;
b. Analyzing the information by analyzer unit present in the database of the website;
c. Reviewing the data followed by filtering the data;
d. Visioning system
Wherein the data include Weather results data; Air Pollution Forecasting data; Flood Forecasting and river monitoring data.
DESCRIPTION OF THE DRAWINGS:
Fig 1 is the system for monitoring the environment using artificial intelligence.
DETAILED DESCRIPTION OF THE INVENTION WITH RESPECT TO DRAWINGS:
The present invention is a system for monitoring the environment using artificial intelligence. The system of the present invention is able to process large amounts of data very quickly, and draw conclusions from that information and to provide system for monitoring the environment using artificial intelligence. The present invention helps in monitoring endangered species, track diseases, and optimize crops.
In one embodiment, the system of the present invention is directed to an advanced remote Sensing and environmental monitoring System which acquires accurate environmental data necessary to Support a cost-effective decision and management process. Remote sensing system is used to acquire data in which weather emissions are collected and filtered to produce certain results. The data manipulation process is capable of Simplifying the complex decisions attendant environmental management. This system is designed to handle complex data and reduce it, filter it into useful data related to public health.
In another embodiment, Weather results data also include events to determine the environmental impact of Such events within a defined jurisdiction. The present invention helps to develop various Scenarios to determine the impact upon the risk to public health of various forecastable changes of environmental conditions.
In another embodiment, the data collected is converted into a document. All the data such as natural and manmade data related to environmental condition is combined. The real situation is observed and factual information is stored. The analyzer unit analyzes all the information and the impact upon the environment due to either actual or anticipated variations of the factual information. The factual information is reviewed and studied.
In another embodiment, Air Pollution Forecasting is also carried out using environment monitoring system of the present invention. In this system, sulfur dioxide concentration is measured as well as CO2 concentration and co concentration is determined. From which various measures are suggested to control air pollution.
In another embodiment, Flood Forecasting and river monitoring is also carried out using system of the present invention. The knowledge base of the system consists of the specific hydrographic basin parameters, and some meteorological factors.
In another embodiment, the data obtained is classified and various data related to atmospheric, surface and subsurface constituent features, particular pollutant, vegetation type, land characteristic, attribute, or object, are collected.
Visioning system provide dynamic visual and financial Simulations of a region's future, given an assumption Set and a predetermined Series of development or policy decisions. It is intended to project into a long range time frame and incorporate global change data through a high Speed data channel. Global data is regionalized, utilizing
Special Subprogram Software to combine emerging local climatic models with larger data Sets. This Subprogram accesses global environmental information data and model
ing to assist a municipality in developing long term Strategies which integrate with global environmental trends and emerging guidelines for Sustainable development. The remote sensing system is present in the database of the website.
In one embodiment, A system for monitoring the environment using artificial intelligence comprising of;
e. Acquiring data followed by Combining data such as natural and man made data;
f. Analyzing the information by analyzer unit present in the database of the website;
g. Reviewing the data followed by filtering the data;
h. Visioning system
Wherein the data include Weather results data; Air Pollution Forecasting data; Flood Forecasting and river monitoring data.