PATENT CLAIM ANALYSIS

Application Number: 16158697
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["705", "332000"]

Abstract:
In some embodiments, the present disclosure provides a network of multi-functional sensors; where, based on a quality insurance, each multi-functional sensor is positioned in, on, or in a vicinity of: a transported cargo and/or a cargo container, containing the transported cargo; where each multi-functional sensor is configured to measure particular transport-related condition, particular cargo-related condition, or both, to form cargo transport sensor data and wirelessly transmit it to a server that is configured to dynamically predict, based on the cargo transport sensor data, a predicted quality loss of the transported cargo, determine a current loss value of the transported cargo and cause one or more remedial actions that include instantaneously instructing to pay a payout amount to an owner of the transported cargo to compensate for the current loss value and/or transmitting a remedial instruction with an adjustment to the operation of one or more of a cargo transport, the cargo container, and a cargo storage.

Claim (Index 1):
A system, comprising:\n a network of multi-functional sensors;\n wherein, based at least in part on a quality insurance, each multi-functional sensor of the network of sensors is positioned in, positioned on, or positioned in a vicinity of at least one of:\n i) a transported cargo, wherein the transported cargo is a cargo that meets at least one of the following conditions:\n 1) a transported condition in which the transported cargo is transported from at least one first geographic location to at least one second geographic location by at least one cargo transport, or \n 2) a stored condition in which the transported cargo is being stored in at least one cargo storage while the transported cargo is transported from the at least one first geographic location to the at least one second geographic location, or \n \n ii) at least one cargo container containing the transported cargo; \n \n wherein each multi-functional sensor of the network of multi-functional sensors is configured to:\n i) measure at least one transport-related condition, at least one cargo-related condition, or both, to form cargo transport sensor data and store the cargo transport sensor data in a first memory location of a respective multi-functional sensor, \n ii) wirelessly transmit, via one or more communication modes, the cargo transport sensor data from the respective sensor to at least one server, \n iii) wirelessly receive, from the at least one server, via the one or more communication modes, one or more remedial instructions and store the one or more remedial instructions in a second memory location of the respective multi-functional sensor, and \n iv) cause the one or more remedial instructions to be implemented with one or more of: the at least one cargo container, the at least one cargo transport, and the at least one cargo storage; \n \n the at least one server, having cargo quality shortfall administration software stored on a non-transient computer readable medium;\n wherein the at least one server what is remotely located from the network of multi-functional sensors; \n wherein, upon execution of the cargo quality shortfall administration software, the at least one server is at least configured to:\n i) receive the cargo transport sensor data from the network of multi-functional sensors; \n ii) dynamically predict, based at least in part on the cargo transport sensor data, at least one current quality metric of the transported cargo, wherein the at least one current quality metric is representative of a predicted quality loss of the transported cargo from an original condition of the transported cargo at the at least one first geographic location; \n iii) dynamically determine, based at least in part on the at least one current quality metric of the transported cargo and a cargo-specific value remaining curve of the quality insurance, a current loss value of the transported cargo; \n iv) dynamically determine, based at least in part on cargo transport sensor data and prior to an arrival of the transported cargo to the at least one second geographic location, one or more remedial actions to mitigate the current loss value of the transported cargo or avoid an additional loss value of the transported cargo, wherein the one or more remedial actions comprise:\n 1) instantaneously instructing to pay, based on the quality insurance, a payout amount to an owner of the transported cargo to compensate the current loss value of the transported cargo without a physical inspection of the transported cargo, and \n 2) transmitting the one or more remedial instructions to one or more multi-functional sensors of the network of multi-functional sensors, wherein the one or more remedial instructions comprises at least one adjustment to one or more of: the at least one cargo transport, the at least one cargo container, and the at least one cargo storage, to remedy or prevent the additional loss value of the transport cargo.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 97.0
- Lexical Diversity: 2.23077
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15173891', '15173953', '15907715', '15573125', '15175091']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1167243717526907
- 35 USC 102 Novelty (BERT): 0.5064950690364259
- Combined Prediction Score: 0.1557014414810642
- Mean Citation Score: 138.27004
- Max Citation Score: 141.84523000000004
- Similarity Product: 89.80041047463776

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test