{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854335","patent":{"patent_number":"US-9854335","title":"Method of and system for automatically adjusting airflow","assignee":null,"inventors":[],"filing_date":"2014-04-29T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04Q","G01C","G01N","G01N"],"num_claims":21,"abstract":"A method of and system for automatically adjusting airflow is presented. A system includes a controlled supply register that has an airflow adjusting mechanism that controls an aperture through which air passes and a register sensor that senses a value of an environmental variable in system duct work. The register also includes a communication system and a processor system that controls the airflow adjusting mechanism. The system also includes a sensor platform that senses an environmental variable in a space and transmits and receives information. The system also includes a controller that receives information about the environmental variables and a desired set point for the environmental variable in the space. The controller determines a target airflow to achieve the desired set point and transmits information about the target airflow. The register receives information about the target airflow and controls the register adjusting mechanism to achieve the target airflow."},"analysis":{"summary":"The Method of and System for Automatically Adjusting Airflow patent presents an innovative solution for optimizing HVAC systems by dynamically adjusting airflow based on real-time environmental variables. The core innovation lies in the integration of sensors, processors, and communication systems to create a closed-loop control system. This system addresses the problem of inefficient and inconsistent climate control in traditional HVAC systems, which often rely on static airflow settings that fail to adapt to changing conditions. The key technical approach involves using sensor platforms to measure environmental variables, a central controller to process the data and determine the optimal airflow, and controlled supply registers to adjust airflow accordingly. The business value of this technology lies in its ability to improve energy efficiency, enhance occupant comfort, and reduce operating costs. By dynamically adjusting airflow, the system can minimize energy waste and maintain consistent temperatures throughout a space. The market opportunity for this technology is significant, as building owners and managers seek to reduce their environmental footprint and improve the indoor environment. This technology is well-suited for a wide range of applications, from residential buildings to commercial offices to industrial facilities. The Method of and System for Automatically Adjusting Airflow represents a significant step forward in HVAC technology and is poised to become an increasingly important tool in creating more sustainable and comfortable buildings.","layman_explanation":"The Method of and System for Automatically Adjusting Airflow patent addresses a common problem: inefficient heating and cooling in buildings. Traditional HVAC systems often distribute air evenly throughout a building, regardless of actual needs. This can lead to some areas being too hot while others are too cold, resulting in wasted energy and discomfort. Existing solutions, such as zoning systems, can improve efficiency but still rely on pre-set schedules and lack real-time responsiveness.\n\nThis technology works by using a network of sensors to monitor temperature, humidity, and occupancy levels in different zones of a building. This information is then fed into a central controller, which uses a sophisticated algorithm to determine the optimal airflow for each zone. The controller then sends signals to adjustable vents or dampers, which automatically adjust the airflow to match the specific needs of each zone. Think of it like a smart thermostat for each room in your house, but instead of just controlling temperature, it also controls airflow. It's like having a personal climate control system for every space.\n\nThis matters because it can significantly reduce energy consumption and improve occupant comfort. By only delivering air where and when it's needed, the system can minimize energy waste and maintain consistent temperatures throughout the building. This can lead to lower utility bills, improved productivity, and a more comfortable and healthy work environment. The market impact could be substantial, as building owners and managers seek to reduce their environmental footprint and improve the value of their properties.\n\nFuture applications could include integrating this technology with smart building management systems and using machine learning to predict future heating and cooling needs. This would allow the system to proactively adjust airflow, further improving energy efficiency and occupant comfort. The market adoption timeline will depend on factors such as the cost of implementation and the availability of skilled installers. However, as energy costs continue to rise and building owners become more aware of the benefits of smart HVAC systems, this technology is poised for widespread adoption. The investment implications are significant, as companies that develop and market this technology stand to benefit from a growing market for energy-efficient building solutions.","technical_analysis":"The Method of and System for Automatically Adjusting Airflow patent describes a sophisticated system for dynamically adjusting airflow in HVAC systems. The technical architecture comprises three main components: sensor platforms, a central controller, and controlled supply registers. Sensor platforms, equipped with temperature, humidity, and occupancy sensors, gather environmental data. This data is transmitted to the central controller, which runs a control algorithm to determine the optimal airflow for each zone. The control algorithm likely considers factors such as thermal load, occupancy levels, and desired temperature setpoints. Based on the algorithm's output, the controller sends signals to the controlled supply registers, which adjust their airflow dampers to achieve the target airflow. The implementation details of the control algorithm are crucial for the system's performance. The algorithm must be robust to noise and disturbances, and it must be able to adapt to changing conditions. Integration patterns for this system would involve connecting the sensor platforms and controlled supply registers to the central controller via a communication network, such as a wired or wireless network. The performance characteristics of the system would depend on the accuracy of the sensors, the responsiveness of the airflow dampers, and the efficiency of the control algorithm. The Method of and System for Automatically Adjusting Airflow offers a significant improvement over traditional HVAC systems by providing dynamic and adaptive airflow control. This leads to improved energy efficiency, enhanced comfort, and reduced operating costs. From a code-level perspective, the control algorithm would likely be implemented in a programming language such as Python or C++. The code would need to handle sensor data acquisition, data processing, and control signal generation.","business_analysis":"The Method of and System for Automatically Adjusting Airflow patent presents a compelling business opportunity in the HVAC market. The market opportunity size is substantial, as building owners and managers are increasingly seeking ways to reduce energy consumption and improve occupant comfort. The competitive advantages of this technology lie in its ability to dynamically adjust airflow based on real-time environmental conditions. This allows for more precise and efficient climate control compared to traditional HVAC systems. The revenue potential for this technology is significant, as it can be sold as a retrofit solution for existing buildings or integrated into new construction projects. Potential business models include direct sales, licensing, and subscription services. The strategic positioning of this technology is as a premium solution for building owners and managers who are willing to invest in energy efficiency and occupant comfort. The ROI projections for this technology are attractive, as it can lead to significant energy savings and reduced operating costs. Furthermore, the technology can enhance the value of a building by improving its energy performance rating and attracting tenants who value sustainability. The Method of and System for Automatically Adjusting Airflow offers a strong value proposition for building owners and managers. Its ability to improve energy efficiency, enhance occupant comfort, and reduce operating costs makes it a compelling investment. The market opportunity is large and growing, and the competitive advantages of this technology position it for success.","faqs":null,"topics":["HVAC automation","smart airflow control","energy efficiency","climate control","building automation","technical","method","system"],"tech_cluster":null},"seo":{"title":"Smart Airflow Control: Method of and System for Automatically Adjusting Airflow - Patent US-9854335","description":"Discover the Method of and System for Automatically Adjusting Airflow patent for dynamic HVAC control. Improve energy efficiency and comfort with smart airflow automation.","keywords":["HVAC automation","smart airflow control","energy efficiency","climate control","building automation","patent","patent US-9854335"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854335","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854335","citation_suggestion":"Patentable. \"Method of and system for automatically adjusting airflow\" (US-9854335). https://patentable.app/patents/US-9854335","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854335","json":"https://patentable.app/api/llm-context/US-9854335","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:58:17.106Z"}