Productivity Enhancement Toolset (PET)

It is a vertical integration of hardware and software to monitor the efficiency of electro-mechanical (EM) systems to ensure that EM systems operate at peak efficiency. This toolset can either be integrated in each EM device during manufacturing or as an add-on to existing EM systems. It can be used for residential, commercial and industrial environments. The hardware component consists of multiple Internet of Things (IoT) sensors that communicate through System on a Chip (SoC) Processing and Communication Nodes/AI Agents (CN/A). These CN/A devices then transmit data to either a local controlling entity server or to a server farm that is owned and operated by Attobotics. The data can then be transmitted to the customer to inform them of any potential changes to the systems that prohibit peak efficiency.

The AI agents will use machine learning to adjust the calculations in order so that the data from the sensors can be properly configured. From the updated configuration, the information will be more useful to determine system efficiencies. An example of a potential system is a Reverse Osmosis (RO) water treatment system. The PET would have sensors placed in key areas that define the characteristics of peak performance for the RO and monitor any measured changes. Pressure is an important component to the system's operation and a filtration system to remove large sediment and other particles is placed in from of the membranes. Let us say that the filters become clogged before the scheduled time to replace. The filter's state will affect peak efficiency of the system. Therefore, the PET will warn the customer of the situation to correct the anomaly. Once corrected, the system can operate at peak efficiency. Attobotics has the IP to create this tool that has been verified to determine subpar performance. However, Attobotics needs the resources to build the sensors, the CN and the software. The first device to test feasibility is a plug-in device with a crude display to showcase how the tool works. The next step is to take the device and make it an IoT device with software on a mobile device to receive information about the EM's performance. After proving proof of concept, then will look to find manufacturers of EM devices to integrate the hardware devices into their products. Then offer their customers the data processing and display software. The difference between other "providers" in this space is that 1) they either provide the hardware or the software, whereas Attobotics will provide both. 2) Their focus is to monitor a system by collecting the data where a model is developed. Based on that model, they would create setpoints. When the system trips a setpoint, their system will send out an alarm. That alarm may be transmitted to a web application, mobile app, or if the user wants to maintain complete privacy, an audible beep with LED indicator will show the latest details. Attobotics’ approach is to collect points based on the operational characteristics of a system. This data will be plugged into models. Then the output of these models will be used to determine how the system’s operations is trending. If it starts to trend away from normal, alarms will be tripped to notify what stage of abnormality the system is operating. This is how Attobotics assists customers with improving the productivity of their devices.

A six-point marketing plan, which contains details on how the product would be sold to guarantee long-term and short-term income generators, has been developed for the PET project. However, to assist in reducing the up-front costs, the plan involves acquiring about 95 to 99% of the electronic parts to build the sensors and the CN devices to be purchased from one supplier that has been specified. Attobotics is working on a partnering with University of Washington’s (UW) CoMotion incubator labs. UW provides space and support for fledgling ideas to come to light.