Device, systems, and methods for enhanced intelligent cooler monitoring and access control

Abstract

A cooler monitoring system for a cooler, including a device having a variety of sensors, a microprocessor, random-access-memory, storage memory, and a set of computer instructions that instruct the microprocessor to collect data from the variety of sensors and analyze the data to create information on the anticipated conditions within a cooler that may affect the contents of the cooler, which device may be networkable to a backoffice that may provide additional information and instructions, coordinate user notifications, and amalgamate information from multiple cooler pro devices to be used to monitor the state of a cooler's contents, for example temperature conditions internal and external to the cooler, measured by an assortment of varied sensors and sensing systems.

Description

PCT25-0111 1stInventor: C. Adam LambTITLE OF THE INVENTION

[0001] Device, Systems, and Methods for Enhanced Intelligent Cooler Monitoring and Access Control.CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims the benefit of U.S. provisional patent application number 63 / 697,566, filed on September 22, 2024, by the present inventors, entitled "Device, Systems, and Methods for Enhanced Intelligent Cooler Monitoring and Access Control," as well as the Patent Cooperation Treaty Application number PCT / US24 / 59019, filed on December 06, 2024, also by the present inventor, C. Adam Lamb, entitled "Device, Systems, and Methods for Intelligent Cooler Monitoring," which applications may sometimes be referenced later in this text as the "referred to application" or the "previously filed application." This application claims the benefit of the previously filed application, and incorporates those applications by reference in their entirety for all allowable purposes, including the incorporation and preservation of any and all rights to patentable subject matter of the inventor, such as features, elements, processes and process steps, improvements, and their descriptions that may supplement or relate to the subject matter described herein.BACKGROUND ON THE INVENTION

[0003] The present innovations generally relate to cooler monitoring, recording, and alerting of information regarding either or both metrics and states.

[0004] Coolers, also referred to as "ice chests", are widely known and used insulated containers designed to maintain temperatures and preserve the freshness of food and beverages, particularly useful in situations where fixed electrical power and climatecontrol systems are non-existent or not well-established. Coolers are typically equipped with insulation materials like foam or plastic, and can come in a variety of sizes, from small handheld versions to larger wheeled models. They often use ice packs, gel packs, ice cubes, or dry ice, to keep the contents chilled for extended periods, making them ideal for picnics, camping trips, outdoor events, or simply transporting groceries.

[0005] The present innovations involve a small device, or set of devices, designed to provide data about any hard or soft personal cooler (like a Yeti, Igloo, or other consumertype food / drink cooler). The present innovations are a system that can be contained in various forms, but typically have various sensors integrated into a small package that may- 1 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb be placed inside, or built into, a cooler to help give confidence to a user that the contents of their cooler are being adequately conditioned by said cooler. Further components of the system could include a phone or a backoffice server, and more software running either on the device itself or in other locations to implement various forms of the possible combinations of features.

[0006] The innovations may apply to both powered and unpowered coolers, as well as coolers that are portable and coolers that are typically stationary.BRIEF DESCRIPTION OF THE DRAWINGS

[0007] FIG. 1 is a block diagram of an exemplary Cooler Pro System according to the present invention.

[0008] Fig. 2 is a block diagram of an exemplary Sensor Engine for an exemplary Cooler Pro System.

[0009] Fig. 3 is an isometric illustration of an exemplary Cooler Pro device.

[0010] Fig. 4 is an isometric illustration of an exemplary Cooler Pro device installed in an exemplary cooler, with the front section of the cooler removed.

[0011] Fig. 5 is a perspective schematic illustration of an exemplary Cooler Pro device installed in an exemplary cooler, with the interior and exemplary contents depicted.

[0012] Fig. 6 is an isometric exploded schematic illustration of an exemplary Cooler Pro device and mounting bracket for installation under an exemplary cooler lid.

[0013] Fig. 7 is an isometric illustration of an exemplary mobile device depicting an exemplary Cooler Pro application user interface.

[0014] Fig. 8 is an illustration of a user demonstrating an exemplary use of an exemplary Cooler Pro device.

[0015] Fig. 9 is a perspective schematic illustration of an exemplary Cooler Pro device installed in an exemplary cooler and in communication with a wireless device.

[0016] Fig. 10 is a flowchart illustrating an exemplary process for Detecting an abnormal temperature change in the cooler contents.

[0017] Fig. 11 is a flowchart illustrating an exemplary process for Predicting future internal cooler temperatures.

[0018] Fig. 12 is a block diagram of an exemplary Cooler Pro System that includes some new components when compared to Figure 1.

[0019] Fig. 13 is a block diagram of an exemplary Telemetry Analysis Engine.- 2 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0020] Fig. 14 is a block diagram of an exemplary Fleet Management System.

[0021] Fig. 15 is a perspective schematic illustration of an exemplary Cooler Pro Device that makes use of a single infrared temperature measurement sensor that has multiple zones.

[0022] Fig. 16 is a perspective schematic illustration of an exemplary Cooler Pro Device that makes use of more than one infrared temperature measurement sensors to offer multiple zones.

[0023] Figures 17 and 18 are reserved and are intentionally blank.

[0024] Fig. 19 is a drawing that shows the temperature of water (H2O) as it warms up from a solid and phase transitions into liquid form.

[0025] Fig. 20 is a Flow Chart illustrating an exemplary process to predict ice melt within a cooler utilizing closed-loop feedback.

[0026] Fig. 21 is an isometric cutaway illustration of an exemplary cooler wall that includes temperature sensors within the wall at various depths.

[0027] Fig. 22 is an illustration of a system of Cooler Pro Devices being linked to a network through mesh networking.

[0028] Fig. 23 is an isometric illustration of an exemplary cooler that includes an electronic locking mechanism with a local physical override.

[0029] Fig. 24 is a block diagram of an exemplary Access Control Engine for a cooler.DESCRIPTION OF EXEMPLARY EMBODIMENTS

[0030] The specific details of a single embodiment or variety of embodiments described herein are to the described system and methods of use. Any specific details of the embodiments are used for demonstration purposes only, and no unnecessary limitations or inferences are to be understood and projected onto the invention as a whole.

[0031] An exemplary embodiment may include multiple forms of temperature sensing elements including chip sensors, backup temperature sensors, infrared (IR) temperature sensing, and the implementation of combinations thereof. Such multiple, varied sensors may capture a more accurate assessment of the condition of the contents and may permit the anticipation of future conditions within the coolerand the effect those conditions may have on the contents. An exemplary sensor array allows the system to detect conditions that suggest a cooler has been left in an unexpected situation, which may include extreme or variable temperature, exposure to sunlight, the cooler being open, or the container- 3 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb being compromised, thus reducing its efficiency. This may be accomplished using a difference in values between the various sensors, such as a chip sensor and an IR sensor.

[0032] An exemplary embodiment may be connected via a network to a centralized system and repository of information, which may be referred to herein as a "backoffice server" or more simply as a "backoffice", so that information from multiple coolers may be compiled and analyzed to improve the capabilities of the system to anticipate cooler performance and provide users with more information and control over the condition of the contents of their coolers. A backoffice analysis of telemetry data may identify a cooler performance variance, which may take the form of data on a cooler or on cooler use experience. Such users may be individuals who are using the cooler to maintain contents or an entity that may manage a fleet of coolers and that may be interested in such things as the collective performance of the coolers, the satisfaction of the end-user of the cooler, and the quality and improvement of cooler use experiences. Timely identification of performance variances may indicate a potential improvement or repairthat may be made to the cooler and may improve a use experience. Backoffice analysis data on the monitoring system and telemetry data may be assembled and reported to a user. The monitoring system may generate an alert, to bring the assembled data to a user's attention.

[0033] In an exemplary embodiment, the system may include the ability to self-test and provide alerts of performance considered out of operational norms or standards, which may be considered cooler performance variances. In an exemplary embodiment, a selftest may communicate with a backoffice, and report malfunction or likely pending malfunction. In an exemplary embodiment, a backoffice may use such information to inform the user of the cooler of current or future conditions of potential interest, and suggest and facilitate corrective action. In an exemplary embodiment, the system may include the ability to show predicted temperatures and transmit an alert based on anticipated temperatures.

[0034] In an exemplary embodiment, information may be sent to a backoffice to amalgamate lots of data to employ and train deep-learning algorithms and artificial intelligence ("Al") to get the best information out of the data the various sensors may provide.- 4 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0035] In an exemplary embodiment, multiple devices may be used to measure and analyze temperatures inside and outside the cooler to improve the predictions of conditions monitored and alerted by the device. The system may use data it has gathered and stored, and may communicate with services and weather reports to get the current and predicted future outside temperatures to improve the predictions provided by one or more of a Cooler Pro device, a corresponding application software, an associated backoffice and backoffice computational resources and software, or the combined elements that form a system.

[0036] In an exemplary embodiment, a power-saving system is included to turn off LED lights and / or display(s) to conserve power when the device is oriented downward. In an exemplary embodiment, alerts may be based on estimated melt rates based on geographic region and seasonal norms. In an exemplary embodiment, alerts may be based on FDA (United States of America Food and Drug Administration) recommendations. The user may select categories of food stored within the cooler to appropriately establish warning parameters. In an exemplary embodiment, operational parameters for optimal food-safety may be established for the embodiment by the FDA, or other authoritative information source, and such operational parameters may be communicated to the embodiment by a network.

[0037] Referring now generally to all the figures, and primarily to Figure 1, an exemplary embodiment of a Cooler Pro System 100 may include a Cooler Pro device 102. An exemplary Cooler Pro device 102 may include, without restriction, such elements as a microprocessor 104, memory 106, a power engine 108, a connectivity engine 110, a sensor engine 112, a diagnostic engine 114, a coherence engine 116, and an input / output ("I / O") engine 118. In an exemplary embodiment, the elements of a Cooler Pro device 102 may have capabilities inherent in their design and their interrelational configuration that permit them to accomplish a function for which they were designed, which may be referred to as the element being "capable of" or "configured to" accomplish their intended purpose, to include functionally interacting with the other related elements. Where these functions are designed into the element through the software. There may be multiple ways a software program may accomplish the capability, but those variants still embody the subject matter taught herein. Because of this nuance in software programming, "capable of" or "configured to" do not indicate a "means for" relationship.- 5 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0038] The exemplary microprocessor 104 may be operatively connected to the memory 106. It is understood that memory 104 may include the ability to store instructions for the microprocessor 104 as well as the ability to collect and hold the incoming data from the various engines (108, 110, 112, 114, 116, and 118) of the Cooler Pro device 102, as well as other components of the Cooler Pro System 100 through a network 120.

[0039] In an exemplary embodiment, a Cooler Pro device 102 may be functionally linked to a backoffice 130 by a network 120. In an exemplary embodiment, a Cooler Pro device 102 may be functionally connected to a mobile device 170 by a network 120.

[0040] In an exemplary embodiment, a network 120 may be any form of suitable connection for data and information transfer, and may include the Internet, world-wide- web, radio frequency ("RF"), cellular, WiFi, and Bluetooth®, among others. In an exemplary embodiment, with a stable and reliable network 120, elements of the Cooler Pro device 102 may either or both reside within the device 102 and exist remotely. In an exemplary embodiment, a backoffice 130 may include, without restriction, a cloud server 132, a weather engine 134, a user data storage engine 136, a return merchandise authorization engine 138, and a consumer warranty information engine 140.

[0041] In an exemplary embodiment, a microprocessor 104 may execute a set of computer instructions, also referred to as "software", "computer-coded instructions", a "computer application", and "machine-readable file", to coordinate function and control the other elements of the Cooler Pro device 102. In an exemplary embodiment, memory 106 may include RAM, ROM, and stable memory. In an exemplary embodiment, with a connection over a network 120 to a backoffice 130, memory 106 or a portion of memory 106 may be remote.

[0042] In an exemplary embodiment, a power engine 108 may provide power to elements of the Cooler Pro System 100. In an exemplary embodiment, a power engine 108 may include, without limitation, elements such as a battery, a line-power connection, static protection, surge protection, reverse polarity protection, a power gauge, a battery gauge, a coulomb counter, a power selection interface, a switching power supply, and a battery charging system, which may be connected or wireless, including a wireless charging coil. In an exemplary embodiment, the power engine 108 may enable the- 6 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb switching of power supplies to regulate voltage rails in the device due to temperature variations.

[0043] In an exemplary embodiment, a connectivity engine 110 may enable the Cooler Pro device 102 to connect to all the elements of the Cooler Pro device 102 and a network 120. In an exemplary embodiment, a connectivity engine 110 may include a connection between memory 106 and a microprocessor 104 to facilitate storage and delivery of a set of computer-coded instructions that may direct the function of a Cooler Pro device 102. In an exemplary embodiment, a connectivity engine 110 may support any form of suitable connection for data and information transfer, and may include the Internet, world-wide- web, LoRA, 802.15.4, radio frequency ("RF"), cellular, WiFi, and Bluetooth®, among others.

[0044] In an exemplary embodiment, a diagnostic engine 114 may provide an assessment of the integrity of the data and signals that are transmitted within the Cooler Pro system 100. In an exemplary embodiment, a diagnostic engine 114 may assess the function and soundness of the operation of various components of the Cooler Pro system 100. In an exemplary embodiment, a diagnostic engine 114 may conduct self-testing of the Cooler Pro system 100. In an exemplary embodiment, self-testing may be conducted based on an event, as requested by a microprocessor 104, and periodically. In an exemplary embodiment, receiving an instruction to the microprocessor 104 may initiate a self-test. Testing of a component occurs, followed by assessing if the component passed the test. Clearing the test code, if the component passed, and triggering an error code if the component failed, followed by either or both storing the test results in memory 106 and informing a user 10 of the component failure.

[0045] In an exemplary embodiment, a coherence engine 116 may ensure that data and power may be transferred between elements in a safe, functional, and useful manner. In an exemplary embodiment, a coherence engine 116 may ensure connections to various elements may be constructed properly, and maintain operational parameters that may enable a functional performance. In an exemplary embodiment, elements of a coherence engine 116 may include, without limitation, signal conditioning circuits, amplifier circuits, converters between analog and digital signals, and a supplemental microprocessor.

[0046] In an exemplary embodiment, an input / output ("I / O") engine 118 may monitor, coordinate, and control forms of inputs to and outputs from the system with the physical- 7 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb world around a Cooler Pro system 100. In an exemplary embodiment, the I / O engine 118 may be a form of user interface ("Ul") 320, which may stimulate a user's 10 senses to communicate, including, without limitation, visual, mechanical, touch, haptic, illumination, sound, fragrance, and, with suitable communication elements, taste, and may employ methods such as, without limitation, audible signals and tones, light indicators, graphical displays, push buttons, and switches.

[0047] In an exemplary embodiment, a return merchandise authorization engine 138 of a backoffice 130 may be configured to employ a user interface 118 to execute a return merchandise authorization ("RMA"), and facilitate the return of a defective Cooler Pro device 102 or component. In an exemplary embodiment, user interface 118 may support RMA by Initiating a self-test that fails. Documenting the failure through a return merchandise authorization engine 138. Contacting the RMA service department through cloud server 132 connected to a network 120. Informing the user 10 of the error and suggesting ways to remedy the error. Authorizing return from the RMA service department. Informing the user 10 of a replacement device 102 or component being sent and requesting the user 10 send the defective device 102 or component back.

[0048] In an exemplary embodiment, a consumer warranty information engine 140 of a backoffice 130 may be configured to employ a user interface 118 to execute a product warranty registration. In an exemplary embodiment, user interface 118 may support warranty registration by Securing the serial number and the purchase date through a consumer warranty information engine 140. The serial number and the purchase date may be obtained from a receipt and a package, or may be electronically acquired from the Cooler Pro device 102 upon use by a user 10. Establishing a user account. Storing the serial number, the purchase date, and the date of first use with a consumer warranty information engine 140.

[0049] In an exemplary embodiment, a cloud server 132 of a backoffice 130 may include a specialized microprocessor and connection components to facilitate functional connection of the other elements of the backoffice 130 to the balance of a Cooler Pro system 100 through network 120.

[0050] In an exemplary embodiment, a weather engine 134 of a backoffice 130 may include connections to services and functionalities that assemble and distribute detailed weather information about geographical regions that include the immediate vicinity of a- 8 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam LambCooler Pro system 100, and the ability to provide selected information upon request for the Cooler Pro device 102. In an exemplary embodiment, detailed weather information about geographical regions that include the immediate vicinity of a Cooler Pro system 100 may include ambient temperatures and forecasted temperatures for requestable time periods.

[0051] In an exemplary embodiment, a user data storage engine 136 of a backoffice 130 may include forms of memory structured to receive, store, and make available, user data from a Cooler Pro device 102.

[0052] Referring now primarily to Figure 2, an exemplary embodiment of a sensor engine 112 may include, without restriction, an analog temperature engine 202, a digital temperature engine 204, an infrared ("IR") temperature engine 206, a light engine 208, a motion engine 210, and a sound engine 212. In an exemplary embodiment, a sensor engine 112 may provide sensing for physical parameters in and around areas that may affect a Cooler Pro system 100, to include areas outside of and inside of a cooler 400. In an exemplary embodiment, a motion engine 210 may employ sensors to sense movement within a cooler 400, movement of a cooler 400, and movement outside a cooler 400. In an exemplary embodiment, the motion engine 210 may be configured to sense if a position of a cooler lid 406 is open, closed, and somewhere in between. In an exemplary embodiment, a light engine 208 may employ sensors to sense changes in light inside or outside a cooler 400. In an exemplary embodiment, a light engine 208 may be configured to detect a lid open condition when the ambient light level increases beyond the amount of light that is typical when the cooler lid 406 is closed. In an exemplary embodiment, a sound engine 212 may employ sensors to either or both sense and identify sounds that may indicate a condition that may affect either or both an operation of a cooler 400 and a condition of a content 408. In an exemplary embodiment, information a Cooler Pro system 100 may be able to determine with a sound engine 212 include time of day, cooler lid open or closed, ice melt, integrity of a content container, and compromised integrity of a cooler 400.

[0053] Several types of sensors are used to detect gases emitted by spoiling foods and may be included in an exemplary embodiment sensor engine 112. Spoiling fruits, vegetables, and meats can emit various gases, primarily due to microbial activity breaking down organic matter. Some of the gases produced may include, without limitation,- 9 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb ethylene, methane, ammonia, sulfur compounds, and carbon dioxide, which along with other byproducts, contribute to the distinct odors and changes observed in spoiled foods. Suitable sensors may include, without limitation, gas chromatography ("GC"), electronic nose ("E-Nose"), which is widely used in food quality monitoring, metal oxide sensors ("MOS"), photoionization detector ("PID"), flame ionization detector ("FID"), and IR gas sensors. Each sensor type has its advantages and limitations in terms of accuracy, sensitivity, cost, and application. For food spoilage detection, E-Noses and MOS sensors are commonly employed due to their relatively low cost, portability, and ability to detect a wide range of gases.

[0054] Referring now primarily to Figure 3, an exemplary embodiment of a Cooler Pro device 102 may include, without restriction, a housing 302, a display 304, an input button 306, an indicator light 308, a sensor 310, a night light 322, and a speaker 318. The collective components of the Cooler Pro device 102 that may receive input information from a user and may provide output information to a user may be referred to as a user interface 320. In an exemplary embodiment, a sensor 310 may include a solar sensor 312, an IR detector 314, and a temperature sensor 316. An exemplary temperature sensor 316 may include an analog temperature sensor and a digital temperature sensor. In an exemplary embodiment, a solar sensor 312 may be configured as a solar cell to power the unit and recharge a rechargeable battery. In an exemplary embodiment, a night light 322 may be positioned to face into a cooler 400 when the lid is open. In an exemplary embodiment, a night light 322 may include a selective light color to preserve night vision. In an exemplary embodiment, a night light 322 may be configured to turn on when an ambient light sensor detects a certain level of darkness. In an exemplary embodiment, a night light 322 may be further configured with a programable timer to stay on for a period of time, regardless of the position of the lid, to preserve battery power. Other exemplary sensors 310 may include a light sensor, a motion sensor, and a sound sensor.

[0055] Referring now primarily to Figures 4 and 6, an exemplary embodiment of a Cooler Pro device 102 may include, without restriction, a mounting bracket 402 and a mounting securement 404. In an exemplary embodiment, a Cooler Pro device 102 may be positioned within the interior of a cooler 400 so as to be positioned in proximity to the contents 408. A suitable mounting bracket 402 may be configured to securely interface with a housing 302 of a Cooler Pro device 102, to appropriately retain the Cooler Pro- 10 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb device 102 in a desired position. A suitable mounting securement 404 may provide fixation of the mounting bracket 402 to a cooler. In an exemplary embodiment, a mounting bracket 402 may be a flexible material that accommodates the insertion of a portion of a housing 302, and then securely retains a housing 302 by tension and friction. In an exemplary embodiment, a mounting securement 404 may be a double-sided adhesive that adheres to a mounting bracket 402 and the internal underside of a cooler lid 406. It is understood that reasonable equivalents to the exemplary mounting bracket 402 and exemplary mounting securement 404 are envisioned and included in this disclosure.

[0056] Referring now primarily to Figure 5, an exemplary embodiment of a Cooler Pro device 102 may include being integrated into a wall of a cooler 400, such as the lid 406. In an exemplary embodiment, a cooler lid 406 may have an open configuration, a closed configuration, and an intermediate configuration. Each of these configurations may be referred to as a respective "position". In an exemplary embodiment, a Cooler Pro device 102 may be positioned integral to cooler 400 to be in functional proximity to the contents 408, so that an appropriate sensor 310 of the sensor engine 112 may sense a condition of the contents 408. In an exemplary embodiment, a cooler 400 may have an alternate closure to a lid 406, while still having an open configuration, a closed configuration, and an intermediate configuration. In an exemplary embodiment, the Cooler Pro device 102 may be oriented within a wall of a cooler 400 such that the user interface 320 and the power engine 108 may still be accessible to a user of the cooler 400 with the lid in a closed position. In an exemplary embodiment, a user interface 320 may include a component of an I / O engine 118, which may include such elements as a display 304, an input button 306, an indicator light 308, a sensor 310, and a speaker 318. In an exemplary embodiment, the sensor engine 112 may include an external sensor 310 for ambient conditions, which may include a temperature, a lighting condition, a solar sensor 312, a humidity level, and a sound, external to the cooler 400. In an exemplary embodiment, a solar sensor 312 may be configured to detect when the cooler is in direct sunlight and a Cooler Pro 102 may alert a user 10 about the condition.

[0057] Referring now primarily to Figure 7, an exemplary embodiment of a mobile device 700 may be in functional communication with either or both a Cooler Pro device 102 and a backoffice 130 through a Network 120. A Cooler Pro device 102 so connected- 1 1 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb to a mobile device 700 may include com onents of the mobile device 700 as a su plement to I / O engine 118 and integrated into I / O engine 118, making data sensed by device components of the mobile device 700 available to a Cooler Pro device 102 and a backoffice 130. In an exemplary embodiment, such components of a mobile device 700 may include a temperature sensor, a GPS, a chronograph, and a light sensor. In an exemplary embodiment, a mobile device 700 may also perform as a component of a network 120. In an exemplary embodiment, a mobile device 700 or elements thereof may be integrated into the Cooler Pro device 102, and so configured could provide remote location tracking. In an exemplary embodiment, a mobile device 700 may include a computer application 702, which may either or both provide output information to a user 10 and obtain input information from a user 10. In an exemplary embodiment, a mobile device 700 may be connectable to multiple Cooler Pro devices 102. In an exemplary embodiment, a computer application 702 may provide output from multiple Cooler Pro devices 102 and provide input to multiple Cooler Pro devices 102. In an exemplary embodiment, a computer application 702 may provide input to and output from a backoffice 130.

[0058] Referring now primarily to Figure 8, an exemplary embodiment Cooler Pro 102 device may be used to assess a heat transfer source, such as radiant heat, conductive heat, and conductive cold, such as ice from an ice supply 800. In an exemplary embodiment, a sensor engine 112 may be used remotely from a Cooler Pro device 102 and backoffice 130. In an exemplary embodiment, a remote sensor engine 112 may possess dedicated memory 106 that can store collected data until connected to a Cooler Pro device 102 and backoffice 130. In an exemplary embodiment, a remote sensor engine 112 may maintain a connection to a Cooler Pro device 102 and backoffice 130 via network 120.

[0059] Referring now primarily to Figure 9, an exemplary embodiment of a Cooler Pro device 102 may include a sensor engine 112 with a sensor 310 capable of sensing that the cooler 400 is open and ambient conditions may access the interior of the cooler 400, impairing the cooler's capability to maintain a temperature in content 408. In an exemplary embodiment, an appropriate sensor 310 may include various sensors that employ sensing various physical parameters, such as a motion sensor, a 3-axis circuit, a light sensor, a manual switch, a hall effect sensor with a magnet, LiDAR, an acoustic sensor, and a temperature sensor. In an exemplary embodiment, a Cooler Pro device 102 may be connected to a mobile device 170 through network 120, to provide information- 12 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb on the status and predicted status of either or both a content 408 and a cooler 400 to a user 10 via a computer application 702.

[0060] Referring now primarily to Figure 10, an exemplary embodiment of a process for Detecting 1000 a cooler 400 has been left in a hot environment may proceed with Storing 1002 an initial cooler 400 temperature readings for the cooler 400 and the contents 408. Delaying 1004 for a period of time. Storing 1006 subsequent temperature readings for the cooler 400 and the contents 408. Comparing 1008 temperature readings over the period of time. If the changes in the temperature readings are similar, Assessing 1010 operation is normal, Clearing 1012 a detection alert, and Recording 1030 the latest temperature readings for use in the next detection routine in either or both memory 106 and User Data Storage Engine 136. If the changes in the temperature readings are divergent, Assessing 1020 the cooler 400 is heating faster than the contents 408, Triggering 1022 a detection alert to inform a user 10 through a user interface 320, and Recording 1030 the latest temperature readings and triggering event in either or both memory 106 and User Data Storage Engine 136. The process 1000 may return to Delaying 1000 for a period of time.

[0061] Referring now primarily to Figure 11, an exemplary embodiment of a process for Predicting 1100 a future cooler 400 condition may proceed with Determining 1102 the insulation constant of a cooler 400. Obtaining 1104 a current temperature inside the cooler 400. Obtaining 1106 an environmental temperature forecast for the immediate vicinity of the cooler 400 from a weather engine 134. Predicting 1108 an internal cooler 400 temperature for a future period based on the insulation constant, the environmental temperature for the immediate vicinity, and the internal temperature of the cooler 400. Providing 1110 the prediction to a user 10. In an exemplary embodiment, Determining 1102 the insulation constant of a cooler400 may be done by comparing the rate of change of temperature of the contents of the cooler 400 versus the temperature outside the cooler 400 from the weather engine 134 and knowledge of location from a mobile device, or another temperature sensor from sensor engine 112 outside the cooler 400, over the same period. Other exemplary ways to determine the insulation constant include using a lookup table for various brands and models of coolers, based on ice melt rates in various seasons, or based on ice melt rates for a given location and seasonal temperatures.- 13 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0062] A system 100 for monitoring a cooler for maintaining the temperature of a content, comprising a Cooler Pro device 102 having a microprocessor, a power source, a temperature sensor other than IR, connectable with a network, which Cooler Pro device 102 may then have an IR temperature sensor with a detection zone. That system may be configured to detect when the cooler is in a hot environment, such as being exposed to the sun. Additionally or alternatively, that system may be configured to actively scan the temperature of an item placed in the detection zone of the IR temperature sensor.

[0063] In an exemplary embodiment, connection to a network may permit a system 100 to transmit information to a remote device, where such information may include data that represents historical temperatures of the operational area of a system or the contents of a system, data that represents the current conditions of a cooler or the content, such as temperature, status, informational alerts regarding a cooler, such the position of the lid, a temperature high, and a temperature forecast. In an exemplary embodiment, a remote device may request data over a network, and send software and operational instructions to a system.

[0064] In an exemplary embodiment, a system 100 may include a process for self-test for determining assorted failures in elements of the system 100, which failures may include low battery level, antenna malfunction, processor malfunction, sensor malfunction, power management malfunction, accelerometer malfunction, and network malfunction.

[0065] In an exemplary embodiment, a system 100 may be configured to provide power savings by disabling certain elements, such as a user interface 320, lights, and displays when the lid is in a closed position.

[0066] A system 100 for monitoring a cooler 400 for maintaining the temperature of a content, comprising a Cooler Pro device 102 having a microprocessor, a power source, a temperature sensor, connectable with a network, configured to provide a report of the status of the temperature of the content. That system 100 capable of providing the status by an audible alarm on the Cooler Pro device 102. That system capable of providing the status by an illuminated signal on the Cooler Pro device 102. That system capable of providing the status to a mobile device. That system 100 capable of affecting the alert, which affectation may include silencing, snoozing, and disabling the alert in response to- 14 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb an instruction, which instruction may include tapping, shaking, touching, and remotely signaling the Cooler Pro device 102.

[0067] A system 100 and process for generation of RMA comprising a Cooler Pro device 102 having a processor, the processor functionally connected to selected elements of the device and configured to execute instructions to test proper connection and function of those elements. The system and process may have connection to a backoffice through a network, a process configured in computer code suitable to instructing the processor to conduct the test, assessing for conditions that would warrant return of the device, issuing the RMA, and contacting the owner of the device, who may be the user of the device to inform them the device needs to be replaced.

[0068] This portion of the application describes how information about a cooler can be gathered and sent to one or more centralized backoffice servers. This section will discuss several reasons to gather particular information and some types of information that might be gathered as part of this process.

[0069] Referring now primarily to Figures 12-14, it may be helpful to understand the many types of information that may be collected from a cooler 400, if a cooler is properly equipped with the appropriate types of sensors or telemetry hardware and associated firmware. Together, this system of telemetry gathering can be referred to as a Telemetry Analysis Engine 150, and in a broader sense, across multiple coolers 400, in a variant of a Telemetry Analysis Engine 150, referred to herein as a Fleet Management Engine 160, which may gather and analyze data from one or more Fleet Management clients 1402. The Telemetry Analysis Engine 150 may facilitate the varied types of Telemetry Data 1301 to be collected, including, without limitation, the following examples.

[0070] Identification of a cooler 400 being used: The exact make, model, and characteristics of the cooler 400 may be determined by the information being stored in the processor of the device during manufacturing (like a manufacturer-specific serial number, or by filling in settable fields like "Model," "color," "R-Value," etc.); by the unique firmware used; and by linking the unique serial number built into the processor with manufacturing data.

[0071] Identification of where the cooler 400 is located, which may be achieved indirectly, using a linked mobile device's location (when in Bluetooth / Wi-Fi mode and you are wirelessly connected directly to the Cooler Pro device 102), and directly, using an- 15 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb integrated cell modem or GPS device when the cooler 400 is directly linked to the Backoffice server. Such location devices may be adapted to obfuscate, blur, slightly dither, randomize, or anonymize the exact location data to protect privacy at the option of the users who may not want their specific location information sent to the Backoffice server. Options may include randomizing a location to within one, five, and other miles, and the selection of a municipality, region, county, and state. Additionally, other anonymous data pieces of location data may be adapted, such as the item being used on the water, on land, in the air, and inside or outside of a building.

[0072] The benefits for securing, controlling, and anonymizing data that is accessed may include, among other reasons:

[0073] To protect the location of hunting and fishing spots secret, as well as a home, house, work, storage unit, or residence. To ensure that a specific user cannot be tracked through their cooler 400, e.g., to prevent the scenario: "Abraham Lincoln is using his cooler 400, and here are his coordinates down at the beach." To protect use data, such as how many new uses were started in any given month. To protect data on how long a cooler 400 is used during any use, such as how many hours it was used after a new use session was started. To protect use data on the time of day a cooler 400 is used, such as the typical start time of a use session. To protect use data on the time of day a cooler 400 use appears to be finished, such as the typical end time of a use session. To protect data on how often a person re-iced and re-chilled their cooler 400 during a cooler 400 use session. To protect data on how the cooler 400 is used while it is stationary or in motion. To protect data on how often the cooler 400 changes between being stationary and in motion while it is in use. To protect data on the temperatures at which the cooler 400 is used, which may be either or both interior and exterior temperatures. To protect data on how often people are using a cooler 400 when the cooling medium is no longer adequate to keep food safe. To protect data on any alerts, alarms, notices, or indications the user is receiving about their cooler 400. To protect data on how often the cooler 400 is opened. To protect data on how long the lid is typically left open when it is opened. To protect data from sensors such as an accelerometer and gyro, which may provide information on the orientation of the cooler 400, such as if it has tipped over, or has experienced impact or fall. To protect data on whether the cooler400 is being used on water, on land, on the road, in the air, or the type of travel conditions orterrain. To protect data from an external- 16 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb solar sensor or photovoltaic cell, which may indicate if the cooler 400 is used inside or outside. To protect data from an external noise sensor, which may indicate if the cooler 400 is used in a quiet or loud environment, and the level of the sounds. To protect data on whether the cooler 400 has been left in the sun. To protect data useful in making inferences, such as that the temperature inside the cooler 400 is rising at a much faster rate than the contents of the cooler 400, which could indicate the cooler 400 is in direct sunlight. To protect data obtained from direct measurement of the incident light (LUX) hitting the cooler 400, such as with a solar sensor (Photovoltaic), to then confirm that the cooler 400 is directly in the sun. To protect data that could permit predictions about the given cooler 400, such as the predictions an associated cooler 400 pro device 102 has made, and the subsequent accuracy and variation of the prediction. To protect data on how much power a Cooler Pro device 102 is consuming.

[0074] Much of the above Telemetry Data 1301 can be determined in many locations and in many ways. First, the Cooler 400 Pro Device 102 built into the cooler 400 needs to have the appropriate sensors connected to the Sensor Engine 112, and the I / O Engine 118 to determine much of the above. The sensor types that can be connected to the Sensor Engine 112 can include internal and external (to the cooler 400) temperature sensors (of the various types already discussed in the referenced patent application), accelerometers, gyroscopes, solar / light intensity sensors, microphones, speakers, lid left open sensors, LiDAR chips, GPS's, timers, clocks, leak detection, pressure, humidity, or any other environmental sensor that can be connected to a Sensor Engine 112 or a Microprocessor 104.

[0075] Once the data from these sensors and timers have been gathered through the Sensor Engine 112 or the Microprocessor 104, and further stored in the Telemetry Analysis Engine's 150 Telemetry Data Storage 1320, the algorithms within the Data Analysis Engine 1304 can be run. The Data Analysis Engine 1304 can be logically located inside the Microprocessor 102 that is contained within the Cooler Pro Device 102, on a Mobile Device 170 linked to the Cooler Pro Device 102 through the Network 120 that may request or receive streams of data from the Microprocessor 102 on the Cooler Pro Device 102 through a wireless network 120, on a back office Cloud Server 132, on a remote client computer that can gather the raw data from the back office Cloud Server 132, or any combination of the previous. As a person skilled in the art can see, once the Telemetry- 17 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam LambAnalysis Engine 150 has collected all of the telemetry data and further stored the data in the Telemetry Data Storage 1304, there are many possible ways to analyze the data with the Data Analysis Engine 1304 to determine a variety of information about any given cooler 400, or any population of cooler 400.

[0076] After all the raw Telemetry Data 1301 about a cooler 400 has been collected (stored in Telemetry Data Storage 1302), analyzed (with the Data Analysis Engine 1304), and transferred into a usable format (which might be as simple as converting a voltage level into a cooler lid 406 being open or closed), the Telemetry Data 1301 can be analyzed in many ways to determine exemplary Telemetry Analysis Results 1305, which may include new marketing opportunities. Some specific exemplary Telemetry Analysis Results 1305 that may fall within marketing opportunities may include Production and Distribution Refinement 1306, Product Enhancement and Development 1308, Create New Ads & Know where to Place Them 1310, New Accessory Development 1312, Usage Based Loyalty Programs 1314, Identify New Partnership Opportunities 1316, Focus Sales Efforts 1318, and Identify Entirely New Markets 1320.

[0077] Telemetry analysis date 1301 may result in some data that may be particularly useful in the management of a cooler or a fleet of coolers. This data may be referred to as noteworthy data, and, as such, that system may account for the assembly of this noteworthy data into a report, and may account for providing notice or an alert to a user of the monitoring system.

[0078] While the aforementioned list of analysis outcomes is substantial, they are merely examples. There are many more opportunities to create other analysis outcomes. The following list includes many exemplary analysis outcomes from the Data Analysis Engine 1304, many of which may not be listed in this description of a Telemetry Analysis Engine 150. Some of the following include combination outcomes from more than one of the Telemetry Analysis Results 1305. Some of the exemplary Telemetry Analysis Results 1305 from data analysis through the Telemetry Analysis Engine 150:

[0079] Design Optimization 1308: Data on how, where, and when a cooler 400 are used can inform modifications to cooler 400 design, such as insulation performance, weight distribution, or durability under specific conditions;

[0080] I mprove Product Warranty Terms: Help identify and exclude treatment of a cooler 400 that should not fall under normal wear and tear;- 18 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0081] Feature Development 1308, 1312: Insights into common usage scenarios (e.g., camping vs. tailgating) can drive the development of new features like better portability, specialized compartments, or added accessories;

[0082] Predictive Maintenance: Usage data can reveal patterns of wear and tear, allowing companies to improve the durability of specific cooler 400 components or introduce features to prolong cooler 400 lifespan;

[0083] Performance Feedback 1308, 1310: By analyzing temperature retention and cooling efficiency across different environments, manufacturers can enhance cooling performance and market their products' reliability;

[0084] Targeted Advertising 1310, 1318: Knowing the most common geographic locations and contexts where a cooler 400 is used (beach, camping, road trips) can help tailor advertisements for specific demographics and activities;

[0085] Seasonal and Regional Marketing 1310, 1318: Data can reveal seasonality and region-based cooler 400 usage trends, helping companies adjust their marketing strategies to focus on high-demand periods and locations;

[0086] Customer Segmentation 1310, 1314: Detailed usage data enables better segmentation of users, allowing companies to offer personalized product recommendations, loyalty rewards, and other targeted campaigns;

[0087] Product Line Expansion 1312, 1320: Identifying unmet needs or recurring pain points through usage patterns can spark the creation of complementary products or entirely new product lines;

[0088] Accessory Creation 1312: Understanding how a cooler 400 is used in specific contexts can inspire the development of tailored accessories (e.g., external cooling attachments, protective covers, or specialized dividers);

[0089] Stocking Efficiency 1306: Real-time usage data can improve demand forecasting, allowing for more efficient production runs and inventory management, reducing excess stock or shortages;

[0090] Regional Product Availability 1306, 1318: By analyzing where a cooler 400 is most frequently used, companies can optimize product distribution, ensuring that specific models are more readily available in high-demand regions;- 19 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0091] Usage-Based Recommendations 1310, 1318: Analysis of cooler 400 usage could lead to the creation of recommendation systems that suggest upgrades or new products based on customers' existing usage patterns;

[0092] Warranty and Service Plans: By tracking how often and how intensely a cooler 400 is used, companies can offer customized warranties or service plans tailored to users' needs;

[0093] Improved Customer Support: Telemetry data can provide detailed information on user issues, helping customer support teams diagnose problems remotely and offering proactive solutions to common complaints, frequently before the customer even realizes there is a problem;

[0094] Usage Insights for Consumers: Providing customers with feedback on how they use their cooler 400 (e.g., reminders to replace ice or tips for better performance) can improve user satisfaction and product experience;

[0095] Usage-Based Recommendations 1318: Telemetry data enables personalized product recommendations. For example, if a customer frequently uses their cooler 400 in hot, outdoor conditions, the company might suggest purchasing additional accessories, like cooling inserts or sun-resistant covers;

[0096] Usage Statistics 1310: Data on how many times a cooler 400 has been used, for how long, and under what conditions can be compiled to demonstrate the widespread adoption and robustness of the products. These statistics can be featured in marketing campaigns, emphasizing the real-world trust in the product;

[0097] Performance Benchmarking 1310: The company can showcase telemetry data to highlight how well their cooler 400 maintains temperature over extended periods, providing evidence of the product's superior performance;

[0098] Customer Confidence 1310: Sharing data on successful cooler 400 usage in demanding environments can boost customer confidence, reinforcing the brand's reputation for reliability and durability;

[0099] Loyalty Programs 1314: Telemetry data can be leveraged to create usage-based loyalty programs, where frequent users are rewarded with discounts or exclusive offers;

[0100] Customer Feedback Loop: Continuous data collection allows the company to involve consumers in the product development process, fostering a sense of engagement and brand loyalty by responding directly to usage patterns;- 20 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0101] Collaborations and Partnerships 1316: Data on cooler 400 usage could be valuable to partners in related industries (e.g., outdoor gear, beverages, or food storage), opening opportunities for co-branded products or partnerships;

[0102] New Market Identification 1320: Usage patterns could reveal previously untapped markets or regions, helping the company expand into new areas with targeted offerings;

[0103] Sustainability Initiatives: Data could be used to track how long a cooler 400 is in use and how frequently they are replaced, providing insights into the environmental impact of the product and driving improvements in sustainable manufacturing or recycling programs;

[0104] Sustainability Initiatives: Data could be used to track how long a cooler 400 is in use and how frequently they are replaced, providing insights into the environmental impact of the product and driving improvements in sustainable manufacturing or recycling programs;

[0105] Fleet Management System 1400: The ability to monitor multiple coolers 400 within a fleet can be a game-changer for companies that rely on a cooler 400 for transporting temperature-sensitive goods (e.g., medications, food, or beverages). By wirelessly transmitting Telemetry Data 1301 from a group of coolers 400 back to a central system, each cooler 400, with a respective Cooler Pro Device (102A, 102B, ... 102N), and a respective Fleet Management Client (1402A, 1402B, ... 1402N), can be monitored in realtime by a Fleet Management Engine 160, providing insights into its performance, temperature stability, and usage patterns;

[0106] Real-Time Monitoring: Software can continuously check the temperature and environmental conditions of each cooler 400 in the fleet. If any cooler 400 exceeds or fa Ils below its specified temperature range, an alert can be triggered;

[0107] Customizable Alerts: Each cooler 400 can have its own set of limits and configurations based on the specific goods it's storing. If these limits are breached, notifications can be sent via text, email, or phone call to various stakeholders, including the employee using the cooler 400, a Fleet Management Client 1402, or a backoffice administrator;

[0108] Operational Efficiency: The system allows fleet managers utilizing a Fleet Management Client 1402 to remotely ensure the safety and quality of temperature-- 21 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb sensitive goods without having to physically inspect every cooler 400. This reduces risks of spoilage and enhances overall fleet efficiency;

[0109] Accountability: Each cooler 400 can be linked to an employee or vehicle, and performance reports can be used to track how well a cooler400 is maintained and utilized across the fleet, helping ensure compliance with company standards;

[0110] Al-Driven Insights: The vast amount of telemetry data collected from a cooler 400 can be used to train artificial intelligence (Al) algorithms, providing predictive and prescriptive insights for the company;

[0111] Pattern Recognition: Al can analyze the bulk data to detect patterns in how a cooler 400 is used in different environments, enabling the company to predict potential issues (such as ice melt or temperature spikes) before they occur;

[0112] Predictive Maintenance: Al can proactively suggest maintenance schedules or design improvements by identifying recurring issues across the fleet, such as performance dips under specific temperature conditions or prolonged exposure to extreme environments;

[0113] Data-Driven Decision-Making: With Al analyzing bulk data, cooler 400 companies can make smarter decisions about product development, design modifications, or regional performance adjustments;

[0114] Product Customization: Al can also help tailor products to specific customer segments by analyzing how different user groups interact with a cooler 400, leading to more personalized features and recommendations;

[0115] Train ice melt prediction algorithms to be even more precise by watching millions of cooler 400 use-cycles over time; and

[0116] Targeted Advertising 1310: Based on the knowledge of exactly who a customer is, which cooler 400 a customer is using, and how they use it, very targeted advertisements can be sent to the user. This targeted advertising might come through a screen on the cooler400 itself, on a mobile application, on an ad banner on a web portal, or via an email to the user's account email address, etc.

[0117] While the above list is very substantial, it is not exhaustive, and there are many other ways a person skilled in the art may combine the Telemetry Data 1301 with other sources of data to create unique business advantages once they see the overall structure- 22 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb of how to gather and analyze cooler 400 Telemetry Data 1301, all of which are within the scope of this disclosure and potential future allowable claims.

[0118] MULTIZONE MONITORING AND ALERTS

[0119] This next section of text describes multizone monitoring and alerting and mainly refers to Figures 15 and 16.

[0120] I n the referenced, previously filed Cooler Pro patent application, it is mentioned that there are many types of temperature sensors, and that many of them can be useful, although InfraRed is certainly an exemplary embodiment. Additionally, it can be informative to have multiple zones of temperature measurements in a cooler 400. This can be useful if the end-user of the cooler 400 has different contents in the cooler 400 with different temperature requirements. There are various methods of creating different temperature measurement zones. Of those methods, you can place temperature sensors in various locations of the cooler 400. For example, you can place temperature sensors up and down the wall of a cooler 400 so you can get a temperature at various heights in the cooler 400, or you could place them around the cooler 400 at the center of each wall of the cooler 400. Alternatively, in a particular exemplary embodiment described in Figure 16, you could place Different IR Sensors 1602 in various places on the lid of the cooler 400, looking down into the cooler 400, and get temperatures from different Zone Locations 1602 in the cooler 400.

[0121] Another method that could be especially useful to create a zoned temperature reading when using a thermopile, or an IR sensor, would be to use a single sensor that includes the ability to get the different temperature measurements from multiple locations in one reading. This method is described in Figure 15. This method would use a Multi Zoned InfraRed Sensor 1502, like one from FLIR, to accomplish this task. Further, by using something like a FLIR Multi Zoned InfraRed Sensor 1502, you could create a zoned picture, or image, of the contents of the cooler 400, where the temperature of the item may get assigned a color based on a sliding scale of colors (red = hot, blue = cold, yellow = in between, etc.). In this way, you can create a thermal image of the contents of the cooler 400 and allow the user to view or share this image in their mobile device application.

[0122] Once you have used one of the above exemplary methods to monitor the various zone temperatures, it is possible to extend the zone concept and create unique alarms for- 23 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb each of the zones. For example, if you have bread in one zone, you might not have any alarm at all. If you have fish in another zone, you might want to have a maximum temperature limit set at 35 degrees F, and vegetables might be in another zone with an alert at 45 degrees F. You could also have a blanket alarm that tells you if any of the sectors increase in temperature by more than 5 or 10 degrees F. These alarms could all be user-configurable, or even have suggestions for temperature limits based on categories of cooler 400 contents that can be assigned to each zone (drinks < 50°F, Meat < 40 °F, Ice Cream < 32 °F, etc.).

[0123] WHEN A CELLULAR MODEM IS INTEGRATED INTO THE COOLER 400

[0124] There are a few specific features that might be of use when a cellular modem is specifically included in the Cooler Pro Device 102 that is either mounted or integrated into a cooler 400: GPS Tracking of the location of the cooler 400. Allow the user to locate their cooler 400.

[0125] It might be beneficial to some users forthis location to be integrated into Apple's "Find My" service.

[0126] Add an emergency button on the side of the cooler 400 that can be configured to either call 911 or send an emergency alert (Pre-setup text or pre-recorded voice call) to a preset number. This emergency button could be covered by a physical spring slide plate, so that it would be extra hard to accidentally activate. This could be useful for children who need to alert their parents that they don't feel good, or an adult experiencing a diabetic emergency.

[0127] A remote read of lid status (e.g. "Is the lid currently open? How many times has the lid been opened in the last two hours?" "When was the lid opened?"). This could be useful to a parent who wants to ensure their children have accessed their cooled medication at the appropriate time.

[0128] REMINDER ALARMS ON THE COOLER

[0129] While the referenced patent application already discussed various alarms on a cooler 400 (for things like lid left open, food not being safe, ice melt, etc.), there are a few other specific alarms that can be very useful in combination with the other cooler pro device 102 features:

[0130] The alert / alarm could be the audible alarm, or it could be a flashing LED, like a strobe, or it could be both.- 24 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0131] There could be a timer set for when chilled medication should be taken that goes off at a certain time of the day (likely utilizing a real time clock), or a timer that says it should be taken in six hours, for example.

[0132] Furthermore, it could also be advantageous to allow a 3rd party, like a parent, or a doctor, to remotely activate an alarm on the cooler 400 that reminds the cooler 400 user to take medications, a snack, etc.

[0133] It could also be useful to have a sensor integrated into the cooler 400 that allows a user of the cooler 400 to indicate that they have indeed taken their medication to deactivate the alarm, or potentially automate that indication by letting the cooler 400 detect when a medication tray or device was removed (and potentially replaced).

[0134] It could be useful to remind a person to empty the contents of their cooler 400 and clean their cooler 400 when the usage period appears to be complete to prevent food spoilage and mold growth. This alarm could be triggered based upon: The cooler 400 arriving at home; Temperatures in the cooler 400 being too warm and food being unsafe; and the mobile application being disconnected from the Cooler Pro Device 102 for some period of time (and further being related to the last known predictions of when the cooler's 400 contents might become unsafe).

[0135] IMPROVEMENTS TO PREDICTIVE ICE MELT

[0136] This next section of text describing improvements to predictive ice melt generally refers to Figures 19, 20, and 21. Prior systems may have used a linear assumption about ice melting and temperature increase rates. While using a linear model when working with water (H2O) ice as a cooling medium can generate acceptable results for predictions about ice melt and the future conditions within a cooler 400, it is possible to increase the accuracy ofthe base predictions by incorporating knowledge of the cooling medium and thermodynamics of the water molecule. Given that there are different types of cooling mediums, these improvements specifically apply when there is a water component to either the cooling medium or the contents of the cooler 400.

[0137] There are three periods of interest with a cooler 400 and ice. The first is while water in ice form heats up to the point of melting, the second is during the period while ice is melting, and the third is the period after the ice has melted and it heats up to the ambient temperature. Figure 19 shows a graph of temperature versus time for a constant heating effort being exerted against water starting in the solid phase (in the form of ice).- 25 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam LambIn the figure, you can see that the ice begins to heat up from a cold temperature while it is still in the solid (ice) phase (portion 1902 in the graph). As the ice begins to phase transition from a solid into a liquid (melt), the molecule stays at 32°F until the entire mixture of ice and water completes the phase transition from ice to water (this process is seen in section 1904). The length of this phase transition can vary depending upon the volume of ice, the amount of heat coming in, other contents being mixed in with the ice and water that are neither ice nor water, the surface area of the ice, and many other factors. Once the ice has completely transitioned to liquid form and is fully water, it will continue to increase in temperature (1906) at half the speed it increased during phase 1902. The reason for the change in speed has to do with the specific heat of water in liquid form being twice that of the specific heat of water in solid form (ice). The math that follows will demonstrate this unique fact in detail.

[0138] The mathematical formulas describing the physics for each of these stages of water warming up from a solid to a complete liquid form follows:

[0139] Predictive Improvements - Period One - Heating of Ice to the Melting Point

[0140] For the first period of interest, the time it takes for ice to warm up from some temperature below freezing up to freezing (Figure 19, Section 1902), can be calculated using the heat transfer equation given by:

[0141] Q = m * c * AT

[0142] Where:

[0143] Q is the heat energy added (in Joules)

[0144] m is the mass of the ice (in kilograms)

[0145] c is the specific heat capacity of ice (in Joules per kilogram per degree Celsius, J / kg°C)

[0146] AT is the change in temperature (in degrees Celsius)

[0147] To know the amount of heat being added to the cooler 400 ecosystem, the rate of heat transfer needs to be considered. This can be calculated using the heat transfer formula, which is given by:

[0148] Q' = h * A * AT

[0149] Where:

[0150] Q' is the rate of heat transfer (in Joules per second, which is Watts)- 26 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0151] h is the heat transfer coefficient (in Watts per square meter per degree Celsius, W / m2 OC)

[0152] A is the surface area of the ice (in square meters)

[0153] To find the time (t) it takes for the ice to warm up to the melting point, we combine the two equations. We need to integrate the heat transfer rate over the time period, given the total heat required to warm the ice:

[0154] Q = Q' * t

[0155] Rearranging for time (t):

[0156] t = ( m * c * AT ) / ( h * A * AT )

[0157] t = ( m * c ) / ( h * A )

[0158] Thus, the formula to calculate the time it takes for ice to warm up, considering the heat input, surface area, and specific heat, is:

[0159] t = ( m * c ) / ( h * A )

[0160] Where:

[0161] m is the mass of the ice

[0162] c is the specific heat capacity of ice (2.09J / goC)

[0163] h is the heat transfer coefficient

[0164] A is the surface area of the ice

[0165] Note that AT cancels out in the final equation since it is the same on both sides. This equation assumes a constant temperature difference and a steady-state heat transfer rate.

[0166] Predictive Improvements - Period Two -Transition of Solid Ice to Liquid Water

[0167] Once the time to reach the melting point has been calculated, you can then use the heat transfer equation and the formula for the latent heat of fusion of ice to determine how long it will take the ice at 32F to melt to water at 32F (Figure 19, Section 1904). These formulas are given by:

[0168] Qfusion = m • Lf

[0169] Q' = h • A • ATenv

[0170] where:

[0171] Qfusion is the heat required to melt the ice (in Joules)

[0172] Lf is the latent heat of fusion (334 J / g)

[0173] Q' is the rate of heat transfer (in Watts)- 27 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0174] ATenv is the temperature difference between the environment and the ice

[0175] Rearranging for time (t) for the solid ice (at 32F) to transition to liquid water (at 32F):

[0176] T = Qfusion / Q' = ( m • Lf ) / ( h • A • ATenv )

[0177] Predictive Improvements - Period Three - Heating of Liquid Water to Ambient

[0178] This last section describes the third period (Figure 19, Section 1906).

[0179] Finally, once all of the ice has become water, the formula to describe the time for the ice to increase in temperature while in solid form can be reapplied to the water.

[0180] t = ( m * c ) / ( h * A )

[0181] Where:

[0182] m is the mass of the water

[0183] c is the specific heat capacity of water (4.18J / goC)

[0184] h is the heat transfer coefficient

[0185] A is the surface area of the water that is in contact with heat sources

[0186] We simply use the above formula again but change each of the variables to match water instead of ice.

[0187] Predictive Improvements - Combination of the Prediction Times

[0188] Once the time to complete all three periods (1902, 1904, & 1906) have been calculated, it is very easy to use the data to present to the user in various ways: Present a graph of the predicted values of temperature of the inside of the cooler 400; Predict an amount of time until ice starts to melt; Predict an amount of time until ice finishes melting; Predict an amount of time until food reaches the food safety danger zone; and Predict an amount of time until certain foods are no longer safe to eat.

[0189] Predictive Improvements - Expansions and Substitutions

[0190] While the above formulas do a great job of improving the predictions about ice melt from a simple linear extrapolation, anyone skilled in the art of thermodynamics or engineering would recognize that there are further ways to improve the formulas described above. For example, another method to improve the above formula might be to get more specific about the heat transfer formula to insert knowledge about the specific cooler 400 being used (things like surface area of the walls, the R value of the walls, and possibly even give different R-values for different walls, or R values for areas where the lid seals against the main body of the cooler400.- 28 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0191] An example of this substitution could be done with this formula:

[0192] Q' = A * AT / R

[0193] Where:

[0194] Q' is the rate of heat transfer in Watts

[0195] A is the surface area of the cooler 400

[0196] AT is the temperature difference between the inside and the outside of the cooler 400

[0197] R is the insulating R-value of the cooler's 400 insulation

[0198] Predictive Improvements - Closed Loop Feedback

[0199] This section of text generally discusses Figure 20, Ice Melt Prediction with Closed Loop Feedback.

[0200] Another exemplary way to improve the prediction of ice melts is to use a simple closed-loop adjusting constant that tracks predictions versus reality. Suppose the prediction ends up being too short by 30% (when compared with what ends up happening after the prediction is made). In that case, the constant is increased by some amount less than or equal to 30% (using a smaller amount to prevent overshoot and oscillation of the prediction), so that next time, when the prediction is run using the new constant, the prediction will be closer than the previous time. Conversely, if the prediction is too long by 20%, the prediction would be shortened by some number less than 20% the next time. This constant could be modified in the middle of a run, or at the end of a run. Further, any advanced closed loop, like a PID (proportional integrative derivative) control loop, or a PI (proportional integrative) loop could be used to control the value of the constant to continually dial it into the current way the cooler 400 is being used. Adding an integrative term (like the "I" in a P.LD. or P.L loop) will help eliminate any steady state, or constant, error that would exist in the predictions without that term. For a more in-depth explanation of steady state error, information and sources can be found related to control loop theory.

[0201] Figure 20 describes a flowchart for the implementation of an ice melt prediction with closed loop feedback 2000 in detail. Block 2002 describes the start of a new prediction. Once a new cycle 2002 has started, the ice melt prediction algorithm 2000 gathers all of the starting input data 2004. This data typically would include anything that might be included to make a prediction before the loop is closed (like temperature of the- 29 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb inside of the cooler 400, temperature outside the cooler 400, the type and mass of the cooling medium, the volume of the cooler 400, the R value of the cooler 400, etc.). Once the starting data has been gathered 2004, the prediction algorithm can then be run 2006. After a prediction has been made via the algorithm in block 2006, it is time to apply the closed loop prediction adjustment factor 2008. The very first time a prediction is made the prediction adjustment factor is typically set such that the original prediction will not be adjusted. The next time through the loop, block 2008 will have an adjustment factor (or factors) to apply to the prediction. Once a prediction has been made for some time in the future, it is then stored to memory, as shown in block 2010. Now that a prediction has been made, it is time to wait forthat time in the future when the prediction was made. This wait time is shown with the delay block 2012. With the delay time 2012 over, it is time to compare the prediction to reality. This comparison is completed in block 2014. Once the comparison has been made, and the difference between the prediction and reality has been quantified 2014, it is time to run the calculations to decide how much to change the adjustment factors. The calculation of the closed loop feedback adjustment factors is completed in block 2016. After the adjustment to the adjustment factors have been calculated, they are then updated, as shown in block 2018. After Updating the Adjustment Factors 2018 that are used in block 2008, the loop can begin again by jumping to Starting a New Prediction Cycle 2002.

[0202] Predictive Improvements - Additional Insulative Wall Temperature Sensor

[0203] This section of text makes several references to Figure 21 (Cross Section of a Cooler 400 Wall with Temperature Sensors).

[0204] The above assumes that the cooler 400 only contains ice, so in the real world, it is imperative to also include some assumptions (or ask the user for input) about the other contents of the cooler 400, if the cooler 400 has been pre-chilled (to know the starting condition of the insulation, etc.). Things like drinks, meat, dairy, and other items will typically have a more linear response to the heat coming into the cooler 400. When you combine the behavior of ice, and information about the rest of the contents of the cooler 400 (either by fixed assumption, direct user input, artificial intelligence learnings, or some other method), you can combine the behaviors of the total contents to improve the predictions (by averaging, weighting, balancing, etc.) of the future conditions of the cooler400.- 30 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0205] Further improvements to the predictions can be made by improving the estimates or measurements of each of the factors that go into each of the equations. For example, every time the cooler 400 lid is opened, it might be prudent to estimate the amount of cooler 400 contents that has been removed, and / or the amount of air or heat that has been introduced by the lid opening. Depending on how long the lid has been opened, each of the estimates might be adjusted. Over a long period of time, through many cycles, and inputs from many coolers 400, and all this data being sent back to a backoffice server, it is possible to check the results of the predictions, see how far they are off, and improve the estimation factors based on real-world data.

[0206] When using a cooler 400, especially a higher-end "roto-molded" cooler 400 (e.g. a YETI, ORCA, or RTIC), it is considered good practice to "pre-chill" a cooler 400 by adding ice, frozen jugs of water, or some other cooling medium that is very cold, well in advance of the actual use of the cooler 400. By cooling off the inside of the cooler 400, the insulation and interior components of the cooler 400 have been cooled off before the cooler 400 is placed into use. Once the cooler 400 is ready to be loaded, the pre-chilling medium is removed from the cooler400. If the pre-chilling process does not happen, the inside of the cooler 400 will typically be relatively warm and will immediately start warming the contents that are placed inside the cooler 400. Whether or not this prechilling has occurred will have a dramatic effect on the performance of the cooler 400, and the predictions that are subsequently made about the melting of ice.

[0207] To improve the accuracy of how well a cooler 400 is going to perform (its insulation factor), an exemplary Cooler Pro Device 102 will include a temperature measurement of the temperature of the insulation in the middle of the Inside of the Cooler Wall 2106. This can be done with any kind of temperature probe, including an RTD or a thermistor. This value can give the algorithms a method to know if the cooler 400 was properly pre-chilled before use, or if the contents of the cooler 400 were simply thrown in at the start of a new use period.

[0208] To know if the cooler 400 was properly pre-chilled, the center of the wall of the cooler 400 (measured with temperature sensor 2110) should be substantially cooler 400 than the air on the outside of the cooler 2102. This can be determined by a temperature sensor placed somewhere on the outside wall of the cooler 2102 (as shown in the- 31 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb referenced patent applications), or by knowledge of the outside temperature from other sources, like the weather application on the phone, directly entered by a user, etc.

[0209] To extend the idea of placing temperature sensors within a cooler wall, it is possible to place multiple temperature sensors at various depths (e.g. 2108, 2110, 2112) within the wall of the insulation to measure the temperature gradient in the cooler walls. This can give even more insight into the heat transfer of the cooler walls.

[0210] Further, if users do not do a proper prechilli ng of their cooler 400, the Cooler Pro system 100 can detect this and through the alerting system, remind the user about the proper way to use their cooler 400 to help train them and get them in a better habit for the future.

[0211] Knowing the temperature of the inside of wall of the cooler400 can also be used to help refine the real-world R-Value and heat transfer of the cooler 400 as the outside air temperature, any solar factors, the inside wall temperature, and the temperature of the contents of the cooler 400 are all monitored.

[0212] COOLER-TO-COOLER COMMUNICATION

[0213] This next section of text describing Cooler Pro Devices 102 Mesh Networking generally refers to Figure 22. When using more than one cooler400, it is possible to allow coolers 400 to directly communicate with one another by making a Wireless Connection 2212 with technology such as Bluetooth, 802.15.4, or other wireless protocols. This feature allows for centralized or distributed monitoring and alerting, creating a robust network of linked coolers 400.

[0214] Advantages of Cooler Communications

[0215] With peer-to-peer communication or a mesh network, all associated Cooler Pro Devices 102 can communicate with each other and through each other 2200, providing synchronized alerts and updates on cooler 400 conditions. This is particularly advantageous in scenarios where multiple coolers 400 are used together, such as multiday expeditions, group activities, professional catering, or large events.

[0216] For example, consider a guide leading a multi-day raft trip. By connecting the network of their coolers 400 that have Cooler Pro Devices 102 installed or integrated into them, the guide can ensure comprehensive monitoring of the entire Cooler Pro system 100. If the cooler 400 designated for day 5, which is packed away, gets tipped over or experiences any other issue, it can send an alert to the coolers 400 currently in use. This- 32 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb alert can notify the team that the cooler 400 for day 5 needs immediate attention, ensuring that all necessary actions are taken promptly.

[0217] Further, if you have any standalone (non-integrated) Cooler Pro Devices 102, it might be advantageous to allow them to communicate with a cooler 400 that has Cooler Pro Device 102 integrated into it such that you can monitor the contents of that cooler 400 from the outside of another cooler 400 without having to access a mobile device to check the status of the standalone Cooler Pro devices 102.

[0218] Key Features of Cooler-to-Cooler Communications

[0219] Centralized Monitoring: Linked coolers 400 can be monitored from any single cooler 400 or connected device, providing a comprehensive view of the entire cooler network

[0220] Synchronized Alerts: Alerts from any cooler 400 in the network can be broadcast to other linked coolers 400, ensuring that all users are informed of any issues

[0221] Peer-to-Peer and Mesh Networking 2200: Flexible networking options enable cooler 400s to connect directly with one another or form a mesh network, increasing range and reliability. Through mesh networking, coolers 400 that are out of range of a mobile device or internet-connected network can still transmit their data by relaying through nearby cooler 400s, ultimately reaching the internet and sending data to the back office

[0222] Use Case Scenario: Ideal for group activities like multi-daytrips, expeditions, and large events where coordinated cooler 400 management is crucial

[0223] This advanced communications capability enhances the utility of the Cooler Pro System 100, providing users with greater control and situational awareness over their cooler network, thereby ensuring optimal performance and convenience.

[0224] Ways to Establish Cooler Associations

[0225] Determining how which coolers 400 can talk with which other coolers 400 (also referred to as association or linking) can occur in many ways. One method might be ad- hoc, where all coolers 400 that are within range of each other, and are set up to allow this type of connection, automatically link together and share alerts. This method might be extended through a mesh-type network so that any cooler 400 within range of one of the coolers 400 in the network might be able to be linked into the network.- 33 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0226] Another method could include explicit linking, where certain Cooler Pro devices 102 (whether stand alone or integrated) are purposefully linked to one another through a linking process (like pushing a linking button, going through a specific rotation or turning sequence to activate the linking mode, etc.).

[0227] Another method of cooler 400 linking might be some combination of the aforementioned ad-hoc and explicit linking methods where an ad-hoc network might be converted into an explicitly linked network once the network has been established and all desired devices are on the network. It is also possible to create another combination of the ad-hoc and explicit networks where some coolers 400 might be allowed to join an explicit network in an ad-hoc fashion. When ad-hoc coolers 400 alert on an explicit network, their alerts might be allowed to have a full priority alert, or they might get some diminished or different form of alert.

[0228] SYSTEMS AND METHODS TO PROVIDE COOLER LOCKING

[0229] This next section of text describing Systems and Methods to Provide Cooler Locking generally refers to Figures 23 and 24.

[0230] A cooler 400 locking mechanism can serve multiple purposes, enhancing security, safety, and controlled access. This mechanism may be used to prevent children from accessing the cooler's 400 contents, restrict access to alcoholic beverages, or safeguard raw or uncooked food until it is ready to be prepared, ensuring proper food safety. It could also be beneficial for use in food trucks or mobile catering environments, where controlled access is critical. Additionally, the locking mechanism can prevent wildlife from accessing the cooler's 400 contents in outdoor settings. It may also help organize multi-day expeditions by staggering the use of multiple coolers 400 based on a planned order of access. Furthermore, during transportation, the mechanism can lock the cooler 400 and only allow it to be unlocked at designated start and end geographical locations. This concept can also extend to the transportation of various goods in insulated or non-insulated containers, ensuring secure access only at specific points during transit.

[0231] There are currently several types of mechanical locking mechanisms that are known to exist in the current art of securing a cooler 400. These include padlock compatibility, cable lock compatibility, key lock compatibility, and combo lock compatibility.- 34 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb

[0232] While these methods of locking can be adequate for certain uses, it is advantageous in many use cases to introduce another locking method to cooler 400s that can be used in place of, or in combination with, the aforementioned physical locking methods, and potentially a few more physical methods.

[0233] Specifically, introducing the concept of an electronic locking actuator 2308 in combination with any type of cooler 400 can offer significant advantages to a user. An electronic locking actuator on a cooler 2308, when connected to a processor creates the ability to offer locking and unlocking in new ways that users currently don't have any way to recreate. By including an electronic locking actuator 2308, it is possible for the cooler 400 to now be locked and unlocked based on: The current location of the cooler 400 (GEO locking / unlocking); Time (do not let kids open the cooler 400 overnight); Time in combination with location, for example: Once a cooler 400 is delivered to a warehouse, it remains locked for three hours, then automatically unlocks; When a cooler 400 leaves a warehouse, it automatically locks five minutes after departure; Remotely controlled from a computer that is wirelessly connected through a network to the cooler 400; A code that is typed into a touch screen (which could offer the ability to create a time-based or hashbased key code access into the cooler 400 - this would allow a user to offer one-time access into the cooler 400 with the rotating keys without offer! ng future access); Proximity locking, where the cooler 400 lock will engage if a phone that is programmed as a key is not nearby (either through active exchange of wireless packets or by the strength of a wireless signal (like an RSSI measurement)); Fleet management where all coolers 400 can instantly be locked or unlocked, or setup into groups where certain sets of coolers 400 can be locked or unlocked.

[0234] Once an electronic locking actuator 2308 has been incorporated into a cooler 2302, it is advantageous to have Local Physical Override Mechanism 2306 that can serve as a backup or alternate method to unlock access to the contents of the cooler 400. The Local Physical Override Mechanism 2306 can be useful if the selected embodiment of the invention does not include a local method to activate or deactivate the electronic cooler 400 lock (such as a retinal scanner, thumbprint scanner, facial recognition device, dance style scanner, keypad, etc.). Further, if the Electronic Lock 2308 fails due to a low battery, broken wire, an electromagnetic pulse event, or some other reason, it would be wise to have a way to allow the user to access the contents of their Cooler Equipped with an- 35 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam LambElectronic Lock 2302. Some of the better methods to allow a local physical override of an electronic lock would include a magnet lock, a key, a push plunger (like how a bathroom door works) where there might be a trapped piece of rod material that would provide insulation while still offering a backup method to unlock the cooler 400), a mechanical keypad, or other system.

[0235] One method to avoid needing a physical backup key is to allow the user to set up the cooler 400 such that when the battery charge drops to a certain threshold, the Electronic Lock 2308 could be configured to change to the unlocked position. Another method aside from simply unlocking when batteries become very low, could be to ensure access to the battery compartment from the outside of the cooler 400, so that if batteries do die, they can be replaced, and electronic lock access can be regained. This last method could be challenging if the person is out in the woods without access to fresh batteries, and would want access to the contents of the cooler 400.

[0236] A further enhancement to the cooler 400 locking system would be to connect a lock status sensor (or set of sensors) to the processor in the electronic lock such that the state of the lock can be read. For example, depending on how the lock is implemented, it might be advantageous to include separate sensors for the physical override portion of the lock and the electronic portion of the lock. If their electronic portion of the lock reading is not matching the user's desired setting, it might be helpful to let the user know that a portion of the lock is not working correctly.

[0237] Referring specifically to Figure 23, this illustration shows an exemplary electronically locking cooler 400 that includes an electronic locking actuator 2308 that interacts with a physical override locking mechanism 2306. The electronic locking actuator 2308 is set up to interact with the local physical override locking mechanism 2306 such that if either lock is deactivated or disengaged, access to the cooler 400 is gained.

[0238] This interaction of the two locking mechanisms (2306 and 2308) is described in block diagram format in Figure 24. Specifically referencing Figure 24, a description of an Access Control Engine, shown in 2306 and 2308, could be required in order to be logically engaged and for a physical locking of an Electronic Locking Cooler 2302 to take place.

[0239] It can also be noted in Figure 24 that an exemplary embodiment of an Electronic Locking Cooler 2302 would include a sensor to know if each lock is engaged. This is seen- 36 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb in block 2406, a sensor to monitor the position of the physical lock 2306, and in block 2408, a sensor to monitor the position of the electronic locking actuator 2308.

[0240] The examples and descriptions contained in this specification are merely possible implementations of the current development, and alternatives may still fall within the scope of the allowed claims. The present invention should only be limited by the following claims and their legal equivalents, since the provided exemplary embodiments are only examples of how the invention may be employed and are not exhaustive.- 37 - 9 / 22 / 2025

Claims

PCT25-0111 1stInventor: C. Adam LambClaimsWhat is claimed:

1. A cooler monitoring system for a cooler, the cooler having a wall, an inside and an outside, and designed to maintain the temperature of a content inside the cooler, the monitoring system comprising: a cooler monitor, the cooler monitor having a microprocessor, memory, a power engine, a sensor engine, a connectivity engine, and an I / O engine; the microprocessor capable of reading computer-readable instructions, gathering data from the sensor, and storing data in the memory; the memory capable of storing reading computer-readable instructions, stored data, and the capacity to receive and store data; the connectivity engine capable of functionally connecting the device with a network, a network connectable to a backoffice; and the backoffice capable of collecting and analyzing cooler telemetry data.

2. The monitoring system of claim 1 wherein the cooler monitor capable of conducting a self-test of the monitoring system to produce self-test data and providing the self-test data to the backoffice for analysis.

3. The monitoring system of claim 2 wherein the backoffice capable of generating report data on monitoring system performance and notifying a user of the report data.

4. The monitoring system of claim 1 wherein the backoffice capable of generating report data on cooler telemetry data analysis and notifying a user of the report data.

5. The monitoring system of claim 4 wherein the backoffice analysis of telemetry data identifies a cooler performance variance.

6. The monitoring system of claim 1 wherein the backoffice capable of generating report data on cooler telemetry data analysis.- 38 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb7. The monitoring system of claim 6 wherein the backofficc analysis of telemetry data identifies shortcomings in a cooler use experience.

8. The monitoring system of claim 6 wherein the backoffice analysis of telemetry data identifies anticipated temperatures within a cooler.

9. The monitoring system of claim 6 wherein the backoffice analysis of telemetry data identifies potential marketing opportunities.

10. The monitoring system of claim 1 wherein telemetry data comprises data on return merchandise authorization.

11. The monitoring system of claim 1 wherein telemetry data comprises data on consumer warranty information.

12. The monitoring system of claim 1 wherein telemetry data comprises data on a cooler.

13. The monitoring system of claim 1 wherein telemetry data comprises data on a characteristic of a cooler.

14. The monitoring system of claim 1 wherein telemetry data comprises data that supports a cooler user loyalty program.

15. The monitoring system of claim 1 wherein telemetry data comprises data on a fleet of coolers.

16. The monitoring system of claim 15 wherein the backofficc analysis of telemetry data capable of identifying noteworthy data across the fleet of coolers.

17. The monitoring system of claim 16 wherein the backoffice capable of generating report data on noteworthy data across the fleet of coolers and notifying a user of the report data.

18. The monitoring system of claim 15 wherein telemetry data comprises data on cooler location.- 39 - 9 / 22 / 2025PCT25-0111 1stInventor: C. Adam Lamb19. The monitoring system of claim 18 wherein the backofficc analysis of telemetry data capable of identifying noteworthy data across the fleet of coolers in a location.

20. The monitoring system of claim 19 wherein the backoffice capable of generating report data on noteworthy data across the fleet of coolers and notifying a user of the report data.- 40 - 9 / 22 / 2025

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