Description:[0001] The present invention relates to a software-based system for real-time monitoring, visualization, and predictive analysis of environmental sensor data. The invention is applicable across industries such as pharmaceuticals, food and beverage, chemical processing, healthcare, agriculture, and environmental monitoring. It enables comprehensive tracking of environmental conditions, ensuring compliance, efficiency, and proactive decision-making through AI-powered insights and customized alerts.

Background of the Invention
[0002] Industries that rely on environmental monitoring face significant challenges in ensuring data accuracy, integration, and proactive decision-making. The inability to efficiently monitor and analyze environmental parameters can lead to critical failures, affecting product quality, safety, and regulatory compliance. The need for real-time monitoring, data-driven decision-making, and predictive insights has become more crucial as industries move toward automation and efficiency.
Challenges in Existing Monitoring Systems
Fragmented and Non-Integrated Monitoring Tools:
[0003] Many industries rely on disparate systems to collect and monitor environmental data. These systems often operate in silos, making it difficult to obtain a unified view of environmental conditions.
[0004] Without seamless integration between different data sources, industries struggle to make informed decisions, leading to inefficiencies and increased operational risks.
Lack of Customization and Adaptability:
[0005] Traditional monitoring solutions come with predefined settings that do not allow users to dynamically adjust measurement intervals or configure alerts based on specific operational requirements.
[0006] The absence of industry-specific customization results in a one-size-fits-all approach, which does not cater to the unique needs of pharmaceuticals, food processing, healthcare, and agriculture.
Limited Data Visualization and Analytical Tools:
[0007] Existing systems often provide raw data without intuitive graphical representations, making it difficult for users to interpret trends and take proactive measures.
[0008] The lack of a user-friendly interface reduces accessibility for non-technical users, leading to operational inefficiencies and missed insights.
Absence of AI-Driven Predictive Insights:
[0009] Most environmental monitoring solutions focus on reactive data tracking rather than predictive analytics.
[0010] The absence of AI-driven insights means that industries cannot anticipate potential failures, leading to unexpected breakdowns, compliance violations, and loss of resources.
Inefficient Data Transmission and Storage:
[0011] Many existing monitoring systems rely on outdated data transmission methods that introduce latency and limit real-time responsiveness.
[0012] Inadequate database management results in difficulty accessing historical data for compliance reporting and trend analysis.
Industrial Implications of Poor Monitoring Systems
[0013] Pharmaceutical Industry: Environmental parameters like temperature and humidity must be maintained within strict thresholds during drug manufacturing and storage. Failure to do so can lead to product degradation, regulatory penalties, and financial losses.
[0014] Food and Beverage Industry: Monitoring storage conditions is critical to maintaining food safety standards. A lack of real-time alerts can result in spoilage and non-compliance with food safety regulations.
[0015] Agriculture: Real-time soil moisture, temperature, and humidity monitoring are essential for optimizing irrigation and crop yields. Ineffective monitoring can lead to resource wastage and reduced productivity.
[0016] Chemical Industry: Proper environmental control is necessary to prevent hazardous reactions and ensure workplace safety. Poor monitoring systems can result in undetected leaks or contamination.
[0017] Healthcare: Hospitals require strict environmental control in laboratories and storage facilities for sensitive medical supplies and equipment. Inadequate monitoring can compromise patient safety.
[0018] The present invention overcomes these limitations by introducing a unified, AI-powered environmental sensor monitoring system with real-time data collection, customizable alerts, predictive analytics, and dynamic sensor configuration. The system integrates MQTT-based low-latency data transmission, PostgreSQL for scalable database management, and an AI-driven query system for advanced data insights. This ensures enhanced efficiency, compliance, and decision-making across multiple industries.

Objects of the Invention
[0019] An object of the present invention is to develop a real-time environmental sensor data monitoring system that integrates data from multiple sources, supporting a wide range of sensor types.
[0020] Another object of the present invention is to provide customizable visualization and historical data analysis through an interactive, user-friendly interface that allows users to track trends over time.
[0021] Yet another object of the present invention is to enable AI-powered query processing, allowing users to extract insights, predict trends, and make data-driven decisions with minimal technical expertise.
[0022] Another object of the present invention is to facilitate dynamic device configuration, enabling users to adjust measurement intervals and customize alert settings based on industry-specific requirements.
[0023] Another object of the present invention is to enhance operational efficiency, safety, and regulatory compliance across multiple industries by providing real-time notifications and predictive maintenance capabilities.

Summary of the Invention
[0024] The present invention discloses a software-based system that collects, processes, and analyzes environmental sensor data in real time. The system supports various sensor types, including temperature, humidity, air quality, and pressure sensors, and allows users to configure measurement intervals dynamically.
[0025] The data is stored in a structured format using a PostgreSQL database and is accessible via an intuitive dashboard built using the Dash framework. The system integrates AI-powered query capabilities, enabling users to extract meaningful insights from real-time and historical data using natural language processing (NLP). Users can set customizable alert thresholds to receive notifications when environmental conditions exceed predefined limits, ensuring timely intervention.
[0026] The system employs MQTT for efficient data transmission, reducing latency and ensuring accurate real-time data synchronization. The invention improves upon existing solutions by offering a scalable, adaptable, and industry-specific platform that enhances monitoring, analytics, and compliance management.
[0027] In this respect, before explaining at least one object of the invention in detail, it is to be understood that the invention is not limited in its application to the details of set of rules and to the arrangements of the various models set forth in the following description or illustrated in the drawings. The invention is capable of other objects and of being practiced and carried out in various ways, according to the need of that industry. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0028] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.

Brief Description of drawings
[0029] The advantages and features of the present invention will be understood better with reference to the following detailed description and claims taken in conjunction with the accompanying drawings, wherein like elements are identified with like symbols, and in which:
[0030] Figure A illustrates the design representation of the system in accordance with the present invention.
[0031] Figure 1 illustrates the Login User Interface in accordance with the present invention.
[0032] Figure 2 illustrates the Forgot password User Interface in accordance with the present invention.
[0033] Figure 3 illustrates the Register User Interface in accordance with the present invention.
[0034] Figure 4 illustrates the Main Dashboard User Interface in accordance with the present invention.
[0035] Figure 5 illustrates the User Profile Interface in accordance with the present invention.
[0036] Figure 6 illustrates the First Page of Dashboard User Interface in accordance with the present invention.
[0037] Figure 7 illustrates the Timeline Functionality User Interface with 3 Hour Historical Time in accordance with the present invention.
[0038] Figure 8 illustrates the Customised Alerts in accordance with the present invention.
[0039] Figure 9 illustrates the Alert Message Section in accordance with the present invention.
[0040] Figure 10 illustrates the AI Interface after giving a query in accordance with the present invention.
[0041] Figure 11 illustrates the Research Mode in AI in accordance with the present invention.
[0042] Figure 12 illustrates the User Interface of AI in accordance with the present invention.
[0043] Figure 13 illustrates the Real Time Analytics AI in accordance with the present invention.
[0044] Figure 14 illustrates the Environmental Insights Section Interface in accordance with the present invention.
[0045] Figure 15 illustrates the Time Interval Changing Using Software in accordance with the present invention.

Detailed Description of the Invention
[0046] An embodiment of this invention, illustrating its features, will now be described in detail. The words "comprising," "having," "containing," and "including," and other forms thereof are intended to be equivalent in meaning and be open-ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items or meant to be limited to only the listed item or items.
[0047] The terms “first,” “second,” and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another, and the terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item.

[0048] In today's industrial landscape, real-time monitoring of environmental parameters is crucial for maintaining operational efficiency, ensuring compliance with regulatory standards, and preventing potential hazards. Industries such as pharmaceuticals, food and beverage, agriculture, chemical manufacturing, and healthcare require constant oversight of environmental conditions like temperature, humidity, air quality, and pressure to safeguard product integrity and human safety.
[0049] Traditional monitoring systems often lack integration, scalability, and AI-driven insights, leading to inefficiencies and delayed responses to critical environmental changes. The present invention introduces an advanced environmental sensor data monitoring and predictive analytics system, which leverages real-time data collection, AI-powered insights, and customizable alert mechanisms to optimize decision-making across industries. By integrating MQTT-based communication, PostgreSQL for structured data storage, and an intuitive dashboard for visualization, the invention ensures a seamless and intelligent approach to environmental monitoring.
[0050] The invention provides a comprehensive environmental monitoring system capable of integrating real-time sensor data, AI-driven insights, and predictive analytics. The system is designed for scalability, ease of use, and seamless integration with existing industrial frameworks.
1. System Architecture and Components:
[0051] The system consists of three primary components:
[0052] Data Collection Module: Responsible for acquiring environmental data from multiple sensors.
[0053] Data Processing and Analytics Engine: Manages data structuring, storage, and AI-driven predictive insights.
[0054] User Interface and Alert System: Provides an intuitive dashboard, real-time notifications, and user-configurable alerts.
2. Data Collection and Sensor Integration:
[0055] The system supports integration with various environmental sensors, including those measuring temperature, humidity, pressure, air quality, and soil moisture.
[0056] MQTT-based communication ensures low-latency, real-time data transmission from sensors to the backend system.
[0057] Users can configure sensor data collection intervals dynamically to optimize resource utilization and monitoring efficiency.
3. Data Processing, Storage, and Retrieval:
[0058] The system employs PostgreSQL as the primary database for structured data storage, ensuring efficient retrieval and processing of large datasets.
[0059] SQLAlchemy is utilized as an Object-Relational Mapper (ORM) for seamless interaction between the database and the application.
[0060] A time-series data indexing mechanism enables users to efficiently retrieve historical data and analyze trends.
4. AI-Powered Query and Predictive Analytics:
[0061] The system incorporates Natural Language Processing (NLP) to allow users to input AI-driven queries related to environmental data.
[0062] Predictive analytics capabilities leverage machine learning algorithms to identify trends, detect anomalies, and forecast potential deviations.
[0063] The AI module continuously learns from historical data to improve accuracy in predictions, ensuring proactive decision-making.
5. User Interface and Visualization:
[0064] The front-end dashboard is developed using the Dash framework, offering an intuitive and interactive visualization experience.
[0065] Users can view real-time data, historical trends, and predictive insights through dynamically generated charts and graphs.
[0066] A calendar-based interface allows users to select specific time periods for in-depth data analysis.
[0067] Role-based access control ensures that different levels of users have appropriate permissions for data access and system management.
6. Alert System and Notifications:
[0068] Customizable alerts allow users to set threshold values for environmental parameters, triggering notifications when values exceed safe limits.
[0069] Alerts can be sent via multiple channels, including email, SMS, and in-application notifications.
[0070] The system supports integration with third-party notification services for expanded alerting capabilities.
7. Scalability and Cloud Deployment:
[0071] The system is designed to scale efficiently as the number of connected sensors and data points increases.
[0072] Cloud-based deployment ensures high availability, remote access, and real-time data synchronization across multiple locations.
[0073] The platform supports both on-premises and hybrid cloud architectures, allowing businesses to choose deployment options that best suit their needs.
8. Security and Compliance:
[0074] The system implements robust encryption protocols for data transmission and storage to prevent unauthorized access.
[0075] Compliance features ensure adherence to industry-specific regulations such as FDA, GMP, and ISO standards.
[0076] Audit logs track user interactions and system events for traceability and security monitoring.
Advantages of the Invention:
[0077] Real-Time Environmental Monitoring: Provides instant access to environmental conditions with AI-driven insights.
[0078] Customizable Alerts and Notifications: Ensures proactive responses to environmental changes.
[0079] AI-Driven Decision Support: Helps industries forecast trends and optimize resource usage.
[0080] Scalable and Adaptable: Supports a wide range of industries with flexible deployment options.
[0081] Seamless Integration with IoT Devices: Ensures compatibility with existing industrial monitoring infrastructures.
[0082] By integrating advanced data analytics, AI-powered insights, and a user-friendly visualization system, the invention revolutionizes environmental monitoring, making it more efficient, predictive, and adaptive to industry needs.
[0083] The foregoing descriptions of specific embodiments of the present invention have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present invention to the precise forms disclosed, and obviously many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present invention, and its practical application to thereby enable others skilled in the art to best utilize the present invention and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omission and substitutions of equivalents are contemplated as circumstance may suggest or render expedient, but such are intended to cover the application or implementation without departing from the spirit or scope of the claims of the present invention.
, Claims:1. A system for environmental sensor data monitoring and predictive analytics, comprising:
a plurality of sensors for collecting environmental parameters;
a data processing module for structuring, storing, and analyzing collected data;
an AI-powered query interface enabling predictive insights based on real-time and historical data; and
a customizable user dashboard for visualizing data and setting alerts.

2. The system as claimed in claim 1, wherein the data processing module utilizes MQTT for real-time sensor data transmission.

3. The system as claimed in claim 1, wherein the AI-powered query interface employs NLP to process user queries and generate predictive insights.

4. The system of claim 1, wherein the customizable alerts are triggered based on predefined industry-specific compliance standards.

5. The system of claim 1, wherein the dashboard provides a calendar feature for selecting historical data periods.

6. The system of claim 1, wherein the user interface allows customization of visualization settings, including graph types and data overlays.

7. The system as claimed in claim 1, wherein access to data is managed through role-based authentication to ensure data security.

8. A method for monitoring environmental sensor data, comprising:
a) configuring sensors to collect environmental data at adjustable intervals;
b) transmitting data to a cloud-based storage system;
c) analyzing data for anomalies and generating alerts; and
d) providing users with real-time and historical visualizations through an interactive dashboard.

9. The method as claimed in claim 8, wherein the analysis module applies machine learning models to identify trends and predict future sensor readings.

10. The method as claimed in claim 8, wherein sensor integration is compatible with IoT-based monitoring systems.