# US 2025/0168232 A1 · Asset tracker safety enhancements in an internet of things network

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- Number: US 2025/0168232 A1
- Document ID: US20250168232A1
- Status: Published application
- Kind: A1
- Application number: 18/822,257
- Filed: 2024-09-01
- Published: 2025-05-22
- Earliest claimed: 2021-02-22
- Inventors: ALBERTO VIDAL; MANU RAO; PRASAD PANCHALAN
- Web page: https://patentgrep.com/patent/US20250168232A1

## CPC

- H04L 67/12: specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- G01S 5/0268: {by deriving positions from different combinations of signals or of estimated positions in a single positioning system}
- G01S 5/0294: {Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering}
- G16Y 20/10: relating to the environment, e.g. temperature; relating to location
- G16Y 20/20: relating to the thing itself
- G16Y 40/10: Detection; Monitoring
- G16Y 40/50: Safety; Security of things, users, data or systems
- H04W 4/029: Location-based management or tracking services
- H04W 4/38: for collecting sensor information
- H04W 4/70: Services for machine-to-machine communication [M2M] or machine type communication [MTC]
- Y02D 30/70: in wireless communication networks
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)
- G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G16Y: INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- Y02D: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE

## Abstract

In one aspect, a computer system for implementing asset tracker safety enhancements in an internet of things network comprising: a plurality of asset trackers, wherein each asset tracker tracks one or more IoT assets and obtains a set of IoT data; a server computing device configured to be in communication with the one or more networks, wherein the server computing device is further configured to implement the following logic: enhance the plurality of asset trackers with a plurality of sensors and a plurality of algorithms to detect and transmit an alert when a hazardous condition is detected, wherein the plurality of asset trackers monitor one or more IoT assets sensor data; and initiate a risk prevention or risk detection warning protocol when a specified probability of a hazardous material is detected by at least one asset tracker of the plurality of asset trackers.

## Claims

### Claim 1

A computer system for implementing asset tracker safety enhancements in an internet of things network comprising:
a plurality of asset trackers, wherein each asset tracker tracks one or more IoT assets and obtains a set of IoT data;
one or more communications hubs;
a base station;
one or more communication networks;
wherein each asset tracker is configured to be in communication with a base station and one or more of the communications hubs;
wherein in the one or more communications hubs are configured to be in communication with one or more of the mobile units, and the one or more network;
wherein the base station is configured to be in communication with the plurality of asset trackers;
a server computing device configured to be in communication with the one or more networks, wherein the server computing device is further configured to implement the following logic:
enhance the plurality of asset trackers with a plurality of sensors and a plurality of algorithms to detect and transmit an alert when a hazardous condition is detected, wherein the plurality of asset trackers monitor one or more IoT assets sensor data; and
initiate a risk prevention or risk detection warning protocol when a specified probability of a hazardous material is detected by at least one asset tracker of the plurality of asset trackers.

### Claim 2 (depends on 1)

The computerized system of claim 1, wherein the one or more IoT assets sensor data comprises a temperature value of the one or more IoT assets.

### Claim 3 (depends on 1)

The computerized system of claim 1, wherein the one or more IoT assets sensor data comprises a pressure value of the one or more IoT assets.

### Claim 4 (depends on 1)

The computerized system of claim 1, wherein the one or more IoT assets sensor data comprises a vibration value of the one or more IoT assets.

### Claim 5 (depends on 1)

The computerized system of claim 1, wherein the one or more IoT assets sensor data comprises a moisture value of the one or more IoT assets.

### Claim 6 (depends on 1)

The computerized system of claim 1, wherein a hazardous material sensor is integrated into each asset tracker of the plurality of asset trackers. server computing device configured

### Claim 7 (depends on 6)

The computerized system of claim 6, wherein a set of existing sensor modalities of each asset tracker of the plurality of asset trackers are co-opted to provide additional hazards data with a pre-trained ambient detection ML model.

### Claim 8 (depends on 7)

The computerized system of claim 7, wherein the pre-trained ambient change ML model trained is used to detect storage and transportation conditions that are associated with a leak of the hazardous material from a specified type of container.

### Claim 9 (depends on 8)

The computerized system of claim 8, wherein the hazardous material sensor comprises an electrochemical sensor.

### Claim 10 (depends on 8)

The computerized system of claim 8, wherein the hazardous material sensor comprises a metal oxide sensors (MOS), infrared sensors, or an acoustic wave sensor (SAW).

### Claim 11 (depends on 8)

The computerized system of claim 8, wherein the hazardous material sensor comprises a grapheme eNose.

### Claim 12 (depends on 8)

The computerized system of claim 8, wherein the hazardous material sensor comprises a chemoresistive sensor.

### Claim 13 (depends on 8)

The computerized system of claim 8, wherein the pre-trained ambient detection ML model comprises one or more ML models that are trained to determine the probability of a sound originating from a leaking hazardous container as obtained by a microphone sensor.

### Claim 14 (depends on 8)

The computerized system of claim 8, wherein each asset tracker comprises a local hazardous condition functionality.

### Claim 15 (depends on 8)

The computerized system of claim 8, wherein the local hazardous condition functionality uses the c pre-trained ambient detection ML model that comprises a sound recognition algorithm to determine that there is a specified probability of a leak in a hazardous container being transported.