Cold chain sensor unit with battery-optimized transceiver

Abstract

A wireless sensor unit and method for optimizing battery life in a cold chain network. The sensor unit comprises a power supply, an environmental condition sensor, a memory for storing captured data, and a wireless transmission interface. Control logic iteratively adjusts transmission power during initialization to identify and store the lowest reliable power level for communication with a remote server. Stored data is transmitted at this optimized power level to minimize energy consumption. This approach extends the operational life of the sensor unit while ensuring reliable data transmission, making it suitable for applications requiring continuous environmental monitoring in energy-constrained conditions.

Description

[0001] COLD CHAIN SENSOR UNIT WITH BATTERY-OPTIMIZED TRANSCEIVER

[0002] FIELD OF THE INVENTION:

[0003] The field of the invention is environmental monitoring systems, specifically for cold chain logistics, using wireless sensor networks to capture, store, and transmit environmental condition data with robust handling of network latency and customizable monitoring features.

[0004] BACKGROUND OF THE INVENTION:

[0005] The term "cold chain" refers to a temperature-controlled supply chain that ensures the safe storage, handling, and transportation of temperature-sensitive products. It involves maintaining specific environmental conditions, such as temperature and humidity, throughout the entire logistics process to preserve the quality, safety, and efficacy of goods. Commonly associated with pharmaceuticals, vaccines, perishable foods, and biologies, the cold chain is critical for preventing spoilage, degradation, and contamination of products that are sensitive to temperature fluctuations. This supply chain

[0006] 2 typically employs speciali zed equipment , such as refrigerated vehicles , storage facilities , and monitoring systems , to achieve consistent and reliable temperature control across multiple stages of transit .

[0007] A robust cold chain relies on precise monitoring and data management to detect and respond to potential breaches in environmental conditions . This includes tracking temperature , humidity, and other critical factors in real time using wireless sensors and automated systems . The cold chain is not limited to a speci fic industry; it applies across sectors like healthcare , agriculture , and food distribution, where maintaining strict environmental controls is essential . The growing global demand for safe and ef ficient transportation of temperature-sensitive products has driven innovation in cold chain technologies , including advanced sensors , data analytics , and ToT integration, to enhance visibility and reliability throughout the supply chain .

[0008] The monitoring and management of temperature-sensitive goods in the cold chain industry rely heavily on wireless sensor units to track environmental conditions , such as temperature and humidity, throughout storage and transport . These sensors are integral to maintaining the integrity of perishable products ,

[0009] 3 including pharmaceuticals , food, and biological materials . However, a persistent challenge in this domain is the optimi zation and conservation of battery power in wireless sensor units . Prolonged operation of these units is critical , particularly in remote or resource-constrained environments where frequent battery replacement or recharging is impractical or impossible .

[0010] One signi ficant issue arises from the energy demands of wireless communication . Sensor units transmit environmental data to remote servers , often requiring high transmission power to ensure reliable communication over long distances or in environments with signi ficant signal interference . This high energy expenditure during transmission substantially drains the sensor' s battery, shortening the operational li fe of the unit . While some sensor units utili ze fixed transmission power settings , this approach often results in unnecessary energy consumption when lower power levels could achieve the same communication reliability .

[0011] Another factor af fecting battery li fe is the lack of adaptive mechanisms to account for dynamic environmental and network conditions . Variability in signal interference , distance to the receiving server, and physical obstructions can impact the

[0012] 4 required transmission power . Without dynamic adj ustment capabilities , sensor units may operate inef ficiently, either consuming excessive power during favorable conditions or failing to maintain communication in more challenging environments .

[0013] Additionally, many existing wireless sensor systems lack mechanisms to optimi ze battery usage during idle periods . Continuous operation of non-essential components , such as wireless interfaces , even when data transmission is not required, leads to unnecessary energy consumption . The absence of sleep modes or power-saving states exacerbates the issue , further limiting the operational li fespan of the sensor unit .

[0014] Retry mechanisms present another challenge . When a sensor unit fails to establish communication with the server, it typically retries the transmission at the same power level or escalates to maximum power . These retries can drain the battery rapidly, particularly i f the sensor unit continues to attempt communication under poor network conditions without predefined limits or intervals . This inef ficient retry process not only shortens battery li fe but also risks failing to transmit critical data when power reserves are depleted .

[0015] 5 The deployment of wireless sensor units in the cold chain often involves diverse environments , ranging from urban warehouses to remote agricultural sites . In these scenarios , standard power management solutions may not be feasible or ef fective . For example , sensor units deployed in remote locations may require higher transmission power due to the absence of nearby network infrastructure . The inability to adapt to such variations results in suboptimal energy utili zation across di f ferent deployment contexts .

[0016] Ef forts to incorporate power-saving technologies into sensor units have been limited in their scope and ef fectiveness . While some systems have introduced basic sleep modes or reduced power consumption during idle periods , these solutions often fail to integrate seamlessly with other essential functionalities , such as reliable data transmission and adaptive power adj ustments . Furthermore , the lack of a uni fied approach to power optimi zation— addressing transmission power, retry mechanisms , and idle state management— hampers the ability to achieve signi ficant improvements in battery li fe .

[0017] The challenges described highlight a pressing need for a comprehensive solution to optimi ze and conserve battery power in wireless sensor units . Such a solution must enable dynamic

[0018] 6 adj ustments to transmission power based on real-time conditions , incorporate ef ficient retry mechanisms to minimi ze wasted energy, and implement advanced power-saving states for non- essential components during idle periods . By addressing these issues , the operational li fespan of sensor units can be extended, reducing maintenance costs and ensuring reliable environmental monitoring in cold chain logistics and other applications .

[0019] SUMMARY OF THE INVENTION :

[0020] The invention provides a comprehensive system and method for optimi zing battery power in wireless sensor units used in a cold chain network . These sensor units play a critical role in monitoring environmental conditions such as temperature and humidity to ensure the safe transportation and storage of temperature-sensitive goods . However, prolonged operation of these sensors in diverse and often resource-constrained environments demands innovative approaches to conserve energy and extend battery li fe . The invention addresses these challenges by introducing a sensor unit with ef ficient power management capabilities and a method that ensures reliable operation while minimi zing energy consumption . The wireless sensor unit comprises a power supply, a wireless transmission interface , an environmental condition sensor for capturing data such as temperature , and a memory for storing operational parameters . In its simplest configuration, the sensor unit operates with basic functionality, relying on occasional , manually triggered calibration to optimi ze transmission power . The control logic in these embodiments is designed to store the calibrated transmission power level in the parameter memory, which is then used for subsequent transmissions . The primary purpose of this calibrated transmission level is to conserve as much battery power as possible while ensuring reliable communication . This configuration is particularly suited for deployments where dynamic or periodic adj ustments are unnecessary or impractical .

[0021] For more advanced applications , the invention accommodates additional configurations that include dynamic adj ustments to transmission power . In these configurations , the control logic iteratively adj usts transmission power during initiali zation to identi fy the lowest power level capable of reliably communicating with a remote server . This optimi zed power level is stored in the parameter memory for routine operations . The invention further includes mechanisms to periodically

[0022] 8 reinitiali ze and adj ust transmission power to account for changing environmental or network conditions , ensuring sustained communication reliability . These advanced configurations enable the sensor unit to adapt to varying deployment scenarios , such as high-interference environments or remote locations requiring higher power levels .

[0023] To optimi ze battery usage further, the invention incorporates a retry mechanism in its advanced configurations . This mechanism progressively increases transmission power i f communication at the stored power level fails , ensuring that the sensor unit can overcome temporary network challenges without defaulting to maximum power . The retry mechanism is coupled with predefined thresholds for maximum retries and transmission power to prevent excessive energy consumption in adverse conditions . These features enable the sensor unit to balance energy ef ficiency with reliable data transmission .

[0024] The method of operation supports periodic capture of environmental data . In configurations with a data buf fer, the captured data is temporarily stored and transmitted to the remote server at regular intervals . In simpler configurations without a buf fer, the sensor unit transmits the captured data immediately upon acquisition, reducing hardware complexity while

[0025] 9 maintaining communication reliability . The optional use of a buf fer allows for flexibility in balancing operational simplicity with advanced data management capabilities .

[0026] The invention also anticipates the need for flexibility across varied deployment environments . In its simplest embodiment , the sensor unit relies on manually triggered calibration for initial setup and subsequent adj ustments . Advanced configurations , however, include control logic capable of dynamically adj usting transmission power based on environmental factors such as network interference , distance to the receiving server, and physical obstructions . This adaptability ensures reliable communication while minimi zing energy use , even in challenging or fluctuating conditions .

[0027] The parameter memory of the sensor unit stores multiple transmission power settings for use with di f ferent server configurations or network environments . This feature enables seamless integration of the sensor unit across diverse operational contexts without requiring frequent manual reconfiguration . Additionally, the wireless transmission interface supports multiple communication protocols , such as

[0028] LoRa, Wi-Fi , and Bluetooth, and dynamically selects the most

[0029] 10 energy-ef ficient protocol based on network availability and application requirements in advanced configurations .

[0030] Further, the sensor unit is equipped with modular hardware configurations that support integration with supplemental energy sources , such as solar panels , to extend operational li fe . These energy harvesting mechanisms can supplement the battery during high-power operations or provide backup power in cases of prolonged deployment . The modular design also allows for upgrades to the environmental condition sensor, memory, or wireless interface , ensuring that the sensor unit remains adaptable to evolving technological standards and user needs .

[0031] The retry mechanism and power management strategies are complemented by a method for initiali zing the system . In simpler configurations , this method involves manually triggered calibration of transmission power during setup, which is stored in the parameter memory for routine use . In advanced configurations , the control logic iteratively reduces transmission power until the lowest reliable level is determined . This method ensures that the system operates ef ficiently from the outset , reducing the need for frequent recalibration or manual intervention . The control logic periodically repeats this process in advanced configurations to

[0032] 11 adapt to changing conditions , maintaining optimal energy utili zation throughout the sensor' s operational li fe .

[0033] The invention' s combination of straightforward calibration-based operation, advanced dynamic power management options , and modular hardware design represents a signi ficant advancement in wireless sensor technology for cold chain logistics . By addressing key issues such as energy consumption, reliable communication, and flexibility in deployment , the invention ensures dependable environmental monitoring while extending the operational li fe of sensor units . This innovation reduces maintenance and replacement costs , enhancing the sustainability and ef ficiency of cold chain operations .

[0034] The flexibility of the invention extends to its deployment across various industries and environments . While optimi zed for cold chain logistics , the sensor unit and its associated methods can be applied in agricultural monitoring, industrial process control , and other scenarios requiring long-term, energyef ficient environmental monitoring . The ability to integrate advanced analytics tools and ToT platforms further enhances the utility of the invention, enabling predictive maintenance , trend analysis , and real-time decision-making .

[0035] 12 By enabling energy-ef ficient operation through both simple and advanced configurations , the invention addresses critical challenges in wireless sensor deployment . Its combination of technical advancements ensures that it meets the needs of current and future applications , providing a robust and adaptable solution for battery optimi zation in wireless sensor networks .

[0036] BRIEF DESCRIPTION OF THE DRAWINGS :

[0037] To easily identi fy the discussion of any particular element or act , the most signi ficant digit or digits in a reference number refer to the figure number in which that element is first introduced . The drawings enclosed are :

[0038] Figure 1 is a schematic diagram showing the components of an embodiment of the wireless sensor unit in accordance with the invention;

[0039] Figure 2 is a system diagram showing the components of an embodiment of a cold chain system using the wireless sensor unit in accordance with the invention;

[0040] 13 Figure 3 is a flowchart showing the steps of one embodiment of the power optimi zation method of the present invention;

[0041] Figure 4 is a flowchart showing the steps of an alternate embodiment of the power optimi zation method of the present invention .

[0042] DETAILED DESCRIPTION :

[0043] The detailed description of the invention provides a thorough explanation of its scope , components , and functionality to help readers understand its potential applications . This invention is designed to monitor environmental conditions , such as temperature , and optionally humidity, while optimi zing battery usage to extend the li fespan of the wireless sensor unit . The adaptable design ensures that the invention can meet the needs of various industries requiring precise environmental monitoring .

[0044] Figure 1 shows a block diagram of a wireless sensor unit , labeled as sensor unit 1 , which can take on various shapes , si zes , and configurations . These configurations depend on the speci fic needs of the cold chain monitoring system, but all

[0045] 14 involve battery-powered hardware and software designed to minimize energy consumption. The sensor unit is powered by a battery 10, and the goal of the invention is to maximize the battery's operational life by reducing power usage during communication and other processes. This focus on efficiency makes the invention suitable for applications where battery replacement or maintenance is challenging, such as in remote or resource-constrained environments .

[0046] The battery 10 supplies energy to all the components in the sensor unit, including the processor 13, the memory 14, and the wireless network interface 11. The memory 14, in turn, includes a parameter memory 15, which stores the power settings for the wireless network interface. These settings determine the strength of communication transmissions and are key to the invention's function. In some configurations, the parameter memory 15 might be part of the control logic 17 instead of a separate component. The invention accounts for these variations and ensures compatibility across different implementations.

[0047] The memory 14 may also feature a memory buffer 16 to temporarily store temperature or other environmental data before transmission. This optional buffer allows flexibility in adapting the sensor unit to different conditions. For example,

[0048] 15 the memory buf fer could be useful in scenarios where intermittent network connectivity requires the sensor unit to hold data until communication is reestablished . Alternatively, the sensor unit can be configured to transmit data directly to the server without intermediate storage , further simpli fying the design and reducing costs . Both configurations ensure that the invention can operate ef fectively in a wide range of environments .

[0049] The wireless network interface 11 connects the sensor unit to a server, adj usting its power usage to conserve energy while maintaining reliable communication . This flexibility in transmission power levels is a cornerstone of the invention' s energy-saving strategy . By dynamically adj usting power levels , the interface ensures ef ficient use of the battery 10 , which is particularly important in deployments where energy resources are limited . Additionally, the sensor unit is equipped with a temperature or condition sensor 12 , which measures environmental factors . While the focus is on temperature , this sensor could also monitor humidity, pressure , or other parameters , broadening the invention ' s applications . The versatility of the sensor makes it suitable for diverse industries , including pharmaceutical logistics , agriculture , and food distribution .

[0050] 16 Figure 2 provides an example of a cold chain system that includes multiple sensor units 1 connected to a server 2 through a network 3 . The server 2 acts as a central hub, collecting data from all sensor units and hosting user interfaces for tasks like manual configuration and reporting . A client device 4 communicates with the server, allowing users to receive noti fications about environmental breaches or adj ust system parameters . While this figure shows a multi-sensor setup, the invention can also be implemented with j ust one sensor or as part of a larger, multi-location system . The server ' s role in data aggregation and analysis ensures that the invention can support both locali zed and distributed monitoring networks .

[0051] Figure 3 illustrates a flowchart for an embodiment of the power optimi zation method . In this case , the process begins when a user manually triggers configuration . First , the sensor unit 1 is initiali zed in step 3- 1 , activating all components such as the wireless network interface 11 and the temperature sensor 12 . Powered by the battery 10 , the unit becomes operational and ready for calibration . The initiali zation step ensures that all hardware components are functioning correctly before proceeding to the calibration phase .

[0052] 17 In step 3-2 , a user or system initiates the calibration process to optimi ze transmission power levels . The processor 13 manages this task, with the parameter memory 15 storing the settings . During step 3-3 , the control logic 17 systematically reduces the transmission power level of the wireless network interface 11 , starting from a maximum level and lowering it incrementally . After each adj ustment , the system tests whether the server can still reliably receive data . This iterative process ensures that the transmission power is calibrated to the lowest possible level while maintaining communication reliability .

[0053] Once the lowest reliable power level is identi fied, it is saved in the parameter memory 15 during step 3-4 . This stored power level ensures that the sensor unit uses the minimum amount of energy necessary for communication . During regular operation, step 3-5 , the sensor unit transmits data from the temperature sensor 12 using this optimi zed power level . I f needed, the configuration process can be manually retriggered in step 3- 6 , such as during maintenance or i f communication problems arise . This flexibility allows the invention to adapt to changes in deployment environments or operational requirements .

[0054] Figure 4 shows a flowchart for an advanced power optimi zation method that employs dynamic control logic . This method automates

[0055] 18 the calibration process . In step 4- 1 , the control logic of the sensor unit 1 will monitor the environmental and network conditions to determine situations in which the transmission level network interface as stored in being used is too low or too high . I f a problem is determined, as shown in the decision block at step 4-2 , the control logic 17 iteratively adj usts the transmission power level , testing communication reliability at each step . The processor 13 works with the parameter memory 15 to identi fy and store the lowest reliable power level in step 4- 3 . The automated nature of this process reduces the need for manual intervention, making it ideal for large-scale deployments .

[0056] During normal operation, the control logic 17 can continuously or periodically monitor environmental factors , such as network interference or distance to the server . Based on this data, the wireless network interface 11 can dynamically adj ust its power level to conserve energy while maintaining communication in an iterative calibration similar to that of Figure 3 . This adaptive approach ensures reliability without unnecessary energy expenditure .

[0057] The iterative calibration process may be periodically retriggered to ensure the sensor unit adapts to changes in its

[0058] 19 environment. The sensor unit operates using the optimized power level, with real-time adjustments maintaining efficiency and reliability. This method is particularly useful in environments with fluctuating conditions, like areas with high interference or remote locations. The ability to adapt dynamically ensures that the invention remains effective in diverse scenarios.

[0059] The flexibility of the invention extends to the sensor unit's physical and functional characteristics. The unit can be customized to fit different shapes, sizes, and deployment scenarios. For example, sensor units used in warehouses may prioritize compact designs, while outdoor units might need rugged, weatherproof casings. The internal components can also vary. The temperature sensor 12 could be replaced or augmented with other sensors to measure humidity or air pressure. The processor 13 and memory 14 might be scaled up or down based on the complexity of the required tasks. These variations ensure that the invention remains versatile and adaptable.

[0060] Additional features can further enhance the sensor unit's versatility. The wireless network interface 11 could also support multiple communication protocols, such as LoRa, satellite data, Wi-Fi, or Bluetooth, allowing seamless integration into different network infrastructures. These

[0061] 20 options ensure the invention is adaptable to current and future technological needs .

[0062] By addressing challenges like energy consumption, reliability, and adaptability, this invention provides an ef ficient and scalable solution for cold chain monitoring . Its design anticipates a wide range of deployment scenarios and ensures long-term utility in diverse environments . The invention' s ability to integrate advanced features and adapt to speci fic needs makes it a valuable tool for industries requiring reliable environmental monitoring . These features , combined with the flexibility to capture additional environmental parameters , make the invention a versatile and future-ready solution for monitoring critical conditions across diverse applications . By accommodating customi zable configurations and emerging technologies , the invention ensures its long-term utility and relevance in an evolving technological landscape .

Claims

CLAIMS :1 . A wireless sensor unit for use in a cold chain network, the sensor unit comprising : a . a battery power supply; b . an environmental condition sensor to capture environmental conditions , including temperature , in proximity to the sensor unit ; c . a wireless network interface of variable transmission power configured to enable communication with a remote temperature monitoring server via an associated network; and d . control logic configured to iteratively adj ust transmission power during initiali zation to identi fy and store the lowest reliable transmission power level for communication with the remote server ; wherein in operation upon initiali zation of communication between the server and the sensor unit the wireless network interface communicates iteratively with the server at22decreasing power levels until the lowest reliable network transmission level for network communication is identi fied at which time the corresponding transmission power level setting is stored and used for subsequent communications until any subsequent re-initiali zation of the communication between the sensor unit and the server .2 . The wireless sensor unit of Claim 1 , wherein the control logic is further configured to periodically re-initiali ze the lowest reliable network transmission level for network communication between the wireless sensor unit and the server and store the updated transmission power level setting .3 . The wireless sensor unit of Claim 2 , wherein the periodically re-initiali zation takes place at predetermined intervals or upon detection of degraded communication quality .4 . The wireless sensor unit of claim 1 wherein the control logic dynamically adj usts transmission power during operation to maintain reliable communication whileminimi zing energy consumption based on at least one environmental factor selected from : a . network interference ; b . distance to the receiving server ; or c . physical obstructions in the transmission path .5 . The wireless sensor unit of claim 1 wherein the control logic is further configured to transition the sensor unit into a sleep mode by powering down non-essential components during predefined idle periods .6 . The wireless sensor unit of Claim 1 wherein the control logic is further configured to retry communication with the remote server using progressively increasing transmission power levels i f initial attempts at the identi fied transmission power level setting fail to ensure data delivery during network disruptions .7 . The wireless sensor unit of Claim 1 , configured to operate as part of a network comprising a plurality of similarunits, wherein each unit independently optimizes its transmission power.

8. A method for optimizing power consumption in a wireless sensor unit for use in a cold chain sensor network, said method comprising: a. capturing environmental data using an environmental condition sensor; b. storing the captured data in memory; c. iteratively adjusting transmission power during initialization to determine and store the lowest power level capable of reliably communicating with a remote server; and d. transmitting the stored data to the remote server as required using the stored power level.

9. The method of claim 8 further comprising retrying communication with the server at progressively higher25transmission power levels i f communication fails at the stored power level .10 . The method of claim 8 wherein the retry mechanism limits the maximum number of retries or the maximum transmission power level based on predefined thresholds .11 . The method of claim 8 further comprising periodically reinitiali zing transmission power settings to account for changes in the network environment or communication protocol .12 . The method of claim 8 wherein the wireless transmission interface supports multiple communication protocols and dynamically selects the protocol based on energy ef ficiency and network availability .26

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