WO2019036764A1 - Système et procédé de suivi numérique du transfert de marchandises en vrac entre des emplacements - Google Patents
Système et procédé de suivi numérique du transfert de marchandises en vrac entre des emplacements Download PDFInfo
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- WO2019036764A1 WO2019036764A1 PCT/AU2018/050898 AU2018050898W WO2019036764A1 WO 2019036764 A1 WO2019036764 A1 WO 2019036764A1 AU 2018050898 W AU2018050898 W AU 2018050898W WO 2019036764 A1 WO2019036764 A1 WO 2019036764A1
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- Prior art keywords
- data
- commodity
- bulk
- sensors
- transfer
- Prior art date
Links
- 238000012546 transfer Methods 0.000 title claims abstract description 103
- 238000000034 method Methods 0.000 title claims description 27
- 238000013481 data capture Methods 0.000 claims abstract description 39
- 238000012384 transportation and delivery Methods 0.000 claims abstract description 29
- 238000012795 verification Methods 0.000 claims abstract description 18
- 239000000446 fuel Substances 0.000 claims description 8
- 235000013365 dairy product Nutrition 0.000 claims description 5
- 230000001052 transient effect Effects 0.000 claims description 5
- 239000000356 contaminant Substances 0.000 claims description 4
- 239000008267 milk Substances 0.000 claims description 3
- 235000013336 milk Nutrition 0.000 claims description 3
- 210000004080 milk Anatomy 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 238000012545 processing Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 6
- 230000010354 integration Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000013479 data entry Methods 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 229910052500 inorganic mineral Inorganic materials 0.000 description 2
- 239000011707 mineral Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000003921 oil Substances 0.000 description 2
- 238000011144 upstream manufacturing Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
- 238000012358 sourcing Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000026676 system process Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0833—Tracking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Definitions
- the present invention relates to commodity management systems and in particular to a system and method for digitally tracking bulk commodity transfer between locations. While some embodiments will be described herein with particular reference to that application, it will be appreciated that the invention is not limited to such a field of use, and is applicable in broader contexts.
- a system configured to digitally track commodity transfer between locations, the system including:
- a first data capture device positioned at a first location and adapted to receive commodity transfer data indicative of a bulk commodity delivery, the commodity transfer data including input metrology data, the first data capture device having a first interface for receiving the input metrology data from one or more first sensors;
- a data writing device adapted to write the commodity transfer data to a portable electronic device
- a portable electronic device adapted to receive the commodity transfer data and store the data in a non-transient manner; a second data capture device positioned at a second location and having a second interface for communicating with one or more second sensors, the second data capture device adapted to:
- a cloud-based server configured to:
- the bulk commodity is a fuel.
- the bulk commodity is one of a bulk chemical, milk, ores, dairy product or food oil.
- the first or second sensors may include temperature sensors, pressure sensors and/or contaminant sensors.
- the input or output metrology data includes one or more of:
- a volume of the vehicle used to transfer the bulk commodity a number of tank compartments available on the vehicle used to transfer the bulk commodity;
- the commodity transfer data includes:
- the portable electronic device includes a smartphone or tablet computer.
- the portable electronic device includes an RFID storage device.
- the RFID storage device may include an electronic ink display configured to display at least a subset of the commodity transfer data.
- the RFID storage device may be embedded in a bulk commodity transport vehicle or container.
- the first data capture device and the data writing device are the same device.
- the data writing device writes the data to the portable electronic device wirelessly.
- the one or more first sensors and one or more second sensors are the same sensors. In some embodiments, the sensors are located on or within a delivery vehicle which is delivering the bulk commodity between the first and second locations.
- Figure 1 is a schematic system diagram illustrating the primary components in a system for digitally tracking bulk commodity transfer between locations
- Figure 2 is process flow diagram illustrating the primary steps in a method for digitally tracking bulk commodity transfer between locations
- Figure 3 is a schematic system level overview of a system for digitally tracking bulk commodity transfer between parties, the system including. DETAILED DESCRIPTION
- FIG. 1 there is illustrated a system 100 for digitally tracking bulk commodity transfer between locations, in particular, through ground transport of the commodity in vehicles such as tank trucks.
- Embodiments of the invention will be described herein with reference to the transfer of a fuel such as petroleum from a first location (loading location) to a second location (delivery location).
- a fuel such as petroleum from a first location (loading location) to a second location (delivery location).
- the invention is more broadly applicable to the transfer of other bulk materials or commodities such as ores and minerals, bulk chemicals, milk and dairy, bulk foods, food oils and fungible dry goods .
- fungible dry goods include fertilizers or commodity crops.
- the invention may also be applicable to commodities such as gas and other consumables.
- System 100 is adapted to perform a method 200, as illustrated in Figure 2.
- System 100 includes a first data capture device 102 positioned at a first upstream location such as a fuel storage depot.
- device 102 is adapted for receiving commodity transfer data indicative of a bulk commodity delivery.
- the data may be automatically pushed to device 102 from an external server or computer and related sensors, and/or may be manually entered at an interface (first interface) of device 102.
- the data capture may also involve a combination of automatic data pushing and manual data entry.
- Data capture device 102 includes a proprietary modular computer device having a microprocessor, touchscreen display, network and power connections, and a wireless transceiver. However, in other embodiments, it will be appreciated that data capture device 102 may utilize standard computer hardware and software such as a desktop computer, laptop computer or tablet computer.
- the commodity delivery data includes input metrology data and commodity delivery data.
- the input metrology data includes real-world data that is obtained from sensors connected directly or indirectly to first data capture device 102.
- the input metrology data relates to the particular tank or container for storing the commodity, the conditions under which the commodity is stored and the commodity itself.
- Example input metrology data includes but is not limited to:
- system 100 includes a network of sensors 103 configured to measure various parameters at both the upstream loading end of the commodity delivery and at the downstream unloading end of the commodity delivery.
- Sensors 103 may comprise first sensors at a first location (loading location) and second sensors at a second location (delivery location).
- Some of sensors 103 which may include temperature sensors, pressure sensors and contaminant sensors, may be mounted within the vehicle 105 used to transport the commodity and preferably within the tank or container holding the commodity, these may be located at the first location and second location and/or on the tank or container of the vehicle 105.
- Additional, sensors may be external to the vehicle such as ambient temperature, sound and light sensors disposed at locations around the loading of vehicle 105.
- Example sensors may include positive displacement flow meters, turbine flow meters, Coriolis flowmeters, RTD temperature probes, MEMS sensors.
- Sensors mounted on or within vehicle 105 can be used to obtain metrology data at both the first and second locations.
- some or all of the first and second sensors may be the same sensors. Any sensors that are external to vehicle 105 will be location specific and not common to both locations.
- the vehicle 105 may be a road-based vehicle such as a tanker truck, a train, ship or airplane.
- Sensors 103 communicate with data capture device 102 through a communications interface.
- This interface may be in the form of a wireless transceiver (e.g. Wi-Fi, Bluetooth, NFC adapter), a network port (e.g. Ethernet port) or other wired connection, which is capable of receiving raw or processed data from sensors 103 in a data push or data pull arrangement.
- vehicle 105 may include a wireless transceiver device which is powered by the vehicle battery and adapted to wirelessly transmit data obtained from sensors 103 to device 102.
- the commodity transfer data also includes commodity transfer data specific to the transfer of the commodity from one party to another or between two locations under the care of a single party.
- Example commodity transfer data includes:
- step 201 upon loading vehicle 105 with the bulk commodity, data from the various sensors is read from sensors 103 and received at data capture device 102. This data is combined with the commodity delivery data to act as a quality control and verification check, as described below.
- a data writing device 104 in communication with data capture device 102 writes the commodity transfer data to a portable electronic device 106.
- data writing device 104 is integral with data capture device 102 forming a single device.
- the data writing device 104 may include the wireless transceiver of device 102.
- data writing device 104 is wirelessly or electrically connected with data capture device 102.
- the portable electronic device 106 may be an RFID storage device such as a datacard able to be carried in a user's pocket or wallet.
- the RFID card may be passive (non powered) or active (having a local power source) and may include a display screen to display the commodity transfer data or a subset thereof to a user.
- the portable electronic device 106 is a passive RFID device including an electronic ink display.
- the portable electronic device 106 is embedded into the vehicle 105 transporting the bulk commodity. In other embodiments, the portable electronic device 106 is carried by a driver of the vehicle 105.
- the portable electronic device 106 may be a portable computer device such as a smartphone, tablet computer or laptop computer. Writing of the data to the portable electronic device 106 from data writing device 104 may be through various known wireless communication protocols, such as Wi-Fi, Bluetooth and near field communication (NFC), and may have suitable security encryption.
- Wi-Fi Wireless Fidelity
- NFC near field communication
- the commodity transfer data is stored on the portable electronic device 106 in a non-transient manner.
- the storage is through the RF energizing of the embedded RFID tag.
- the storage is on a local hard drive of the device.
- Steps 201 and 202 are performed at the loading location prior to commencement of delivery of the bulk commodity.
- the data may be pre-loaded onto the portable electronic device 106 and picked up by a driver of the transport vehicle.
- the driver or another person may facilitate the writing of the data to the device 106 by holding the device within wireless communication range of data writing device 104 or electrically connecting the portable electronic device 106 to the data writing device 104.
- a second data capture device 110 is adapted for reading the commodity transfer data from the portable electronic device 106 .
- the reading of the portable electronic device 106 is performed by bringing the device into close proximity with the second data capture device 1 10 for data transfer.
- step 204 transfer of data from sensors103 to device 110 also occurs once vehicle 105 reaches the delivery location.
- data capture device 110 is also able to communicate with sensors 103 through a communications interface on device 1 10.
- This interface may be in the form of a wireless transceiver (e.g. Wi-Fi, Bluetooth, NFC adapter) or a network port (e.g. Ethernet port) or other wired connection which is capable of receiving raw or processed data from sensors 103 in a data push or data pull arrangement.
- connection between the portable electronic device 106 and second data capture device 110 triggers the transmission of input metrology data from sensors 103, which are received by data capture device 110.
- the second data capture device 110 is preferably similar or identical to the first data capture device 102. However, these two devices may be implemented in different hardware while having similar software executed thereon.
- the input metrology data is compared with the input metrology data to verify the correct delivery of the commodity .
- verification data is generated to indicate the delivery of the commodity has been verified.
- the commodity transfer data may also be stored in association with other related data such as the time of arrival of the vehicle 105, and updated telemetry data such as commodity temperature and pressure
- the fluid transfer data, output metrology data and verification data are communicated from device 1 10 to a cloud-based server 112.
- the data is stored at the cloud-based server 1 12 for subsequent processing and analysis as described below.
- the server 112 hosts an interface, either locally or remotely, for displaying the commodity transfer data amongst other data. This allows various authorized parties to access the data to verify the delivery and perform other data analysis.
- the commodity transfer data may also be used in machine learning algorithms to optimize delivery routes and delivery costs.
- the server 1 12 provides reports and analytics on commodity transfer data, generate alerts and alarms based on commodity transfer data and interfaces with external systems through a network connection.
- Example external systems include Enterprise Resource Planning (ERP) systems and accounting systems.
- ERP Enterprise Resource Planning
- the cloud storage and data interfaces may be implemented utilising a distributed ledger or block chain eliminating the need for a centrally trusted server to broker the transfers.
- the commodity transfer data may be modified during the shipping process where sensors are available. For example, sensors may monitor the commodity temperature or pressure and this additional data may be incorporated into the original commodity transfer data.
- the GPS location of the vehicle 105 may also be tracked and stored with the commodity transfer data.
- Figures 3 and 4 illustrate the overall system process of digitally tracking bulk commodity transfer between locations, including the interaction of components across the process.
- the invention necessarily replaces a paper docket system with a digital receipt or ledger in the overall commodity transfer process as well as providing a reconciliation method that can be completed in real time and is visible to both counter parties. This mitigates the need to have comprehensive back office integration between counterparties to automate elements of the supply chain process and resulting commercial transfers. Additionally, it adds a layer of security utilising proximity based technology and encryption that is not present in a paper based system.
- the invention includes hardware which is able to quickly and efficiently draw metrology data from real-world sensors to speed up the commodity transfer process.
- the invention has a number of modes of redundancy available which help ensure that transfers can be completed even with system outages or failures. This provides for a more robust system than the prior art paper-based solutions as well as avoiding some of the complexity of more traditional Business-to-Business integrations. [0047]
- the invention minimizes the software integration required between companies to automatically perform a number of steps in the custody transfer of fuel or other bulk commodities by providing a common field hardware platform and software backend that can be used between multiple vendors and customers. This reduces complexity and costs associated with integration.
- the invention is transparent during many steps of the supply chain and the hardware can be integrated with existing automation and control systems without any significant change or re-certification.
- the invention solves a number of challenges in the bulk commodities supply chain.
- the characteristics of this problem are:
- the product being transferred is fungible.
- the transaction volume in the supply chain is large and complex to manage.
- controller or “processor” may refer to any device or portion of a device that processes electronic data, e.g., from registers and/or memory to transform that electronic data into other electronic data that, e.g., may be stored in registers and/or memory.
- a "computer” or a “computing machine” or a “computing platform” may include one or more processors.
- the methodologies described herein are, in one embodiment, performable by one or more processors that accept computer-readable (also called machine-readable) code containing a set of instructions that when executed by one or more of the processors carry out at least one of the methods described herein.
- Any processor capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken are included.
- a typical processing system that includes one or more processors.
- Each processor may include one or more of a CPU, a graphics processing unit, and a programmable DSP unit.
- the processing system further may include a memory subsystem including main RAM and/or a static RAM, and/or ROM.
- a bus subsystem may be included for communicating between the components.
- the processing system further may be a distributed processing system with processors coupled by a network. If the processing system requires a display, such a display may be included, e.g., a liquid crystal display (LCD) or a cathode ray tube (CRT) display. If manual data entry is required, the processing system also includes an input device such as one or more of an alphanumeric input unit such as a keyboard, a pointing control device such as a mouse, and so forth.
- the processing system in some configurations may include a sound output device, and a network interface device.
- the memory subsystem thus includes a computer-readable carrier medium that carries computer-readable code (e.g., software) including a set of instructions to cause performing, when executed by one or more processors, one of more of the methods described herein.
- computer-readable code e.g., software
- the software may reside in the hard disk, or may also reside, completely or at least partially, within the RAM and/or within the processor during execution thereof by the computer system.
- the memory and the processor also constitute computer-readable carrier medium carrying computer-readable code.
- any one of the terms comprising, comprised of or which comprises is an open term that means including at least the elements/features that follow, but not excluding others.
- the term comprising, when used in the claims should not be interpreted as being limitative to the means or elements or steps listed thereafter.
- the scope of the expression a device comprising A and B should not be limited to devices consisting only of elements A and B.
- Any one of the terms including or which includes or that includes as used herein is also an open term that also means including at least the elements/features that follow the term, but not excluding others. Thus, including is synonymous with and means comprising.
- Coupled when used in the claims, should not be interpreted as being limited to direct connections only.
- the terms “coupled” and “connected,” along with their derivatives, may be used. It should be understood that these terms are not intended as synonyms for each other.
- the scope of the expression a device A coupled to a device B should not be limited to devices or systems wherein an output of device A is directly connected to an input of device B. It means that there exists a path between an output of A and an input of B which may be a path including other devices or means.
- Coupled may mean that two or more elements are either in direct physical, electrical or optical contact, or that two or more elements are not in direct contact with each other but yet still co-operate or interact with each other.
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Abstract
L'invention concerne un système (100) conçu pour le suivi numérique du transfert de marchandises entre un premier et un second emplacement. Le système (11) comprend un premier dispositif de capture de données (102) se trouvant à un premier emplacement et servant à recevoir des données de transfert de marchandises indiquant une livraison de marchandises en vrac. Le premier dispositif de capture de données (102) présente une première interface permettant de recevoir des données de métrologie d'entrée provenant d'un ou plusieurs premiers capteurs (103). Un dispositif d'écriture de données (104) est conçu pour écrire les données de transfert de marchandises sur un dispositif électronique portatif (106), qui est transporté vers l'emplacement en aval. Un second dispositif de capture de données (110) se trouve à un second emplacement et présente une seconde interface prévue pour communiquer avec un ou plusieurs seconds capteurs (103). Le second dispositif de capture de données est destiné : à lire les données de transfert de marchandises à partir du dispositif électronique portatif (106) ; à recevoir des données de métrologie de sortie provenant du ou des seconds capteurs ; et à comparer les données de métrologie d'entrée aux données de métrologie de sortie afin de générer des données de vérification pour le transfert de marchandises. Les données de transfert de marchandises, les données de métrologie de sortie et les données de vérification sont communiquées à un serveur cloud (112) pour visualiser et analyser les données, et pour émettre des alertes de vérification.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2017903400 | 2017-08-23 | ||
AU2017903400A AU2017903400A0 (en) | 2017-08-23 | System and method for digitally tracking bulk fluid transfer between locations |
Publications (1)
Publication Number | Publication Date |
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WO2019036764A1 true WO2019036764A1 (fr) | 2019-02-28 |
Family
ID=65438242
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/AU2018/050898 WO2019036764A1 (fr) | 2017-08-23 | 2018-08-23 | Système et procédé de suivi numérique du transfert de marchandises en vrac entre des emplacements |
Country Status (1)
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WO (1) | WO2019036764A1 (fr) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
IT201900006634A1 (it) * | 2019-05-08 | 2020-11-08 | Levantoil S R L | Sistema e metodo di tracciamento e di controllo della qualità di un carburante |
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US20060052981A1 (en) * | 2004-09-07 | 2006-03-09 | Klein Rudolph J | Method for detecting tampering |
US20100131419A1 (en) * | 2002-06-20 | 2010-05-27 | Aldata Software Management Inc. | System and method for management of commodity shipment data |
US7791489B2 (en) * | 2003-09-03 | 2010-09-07 | Metrologic Instruments, Inc. | Electronic-ink based RFID tag for attachment to a consumer item and displaying graphical indicia indicating whether or not said consumer items has been read and its integrated RFID module has been activated or deactivated |
US20150046298A1 (en) * | 2013-08-09 | 2015-02-12 | Air Products And Chemicals, Inc. | Method and system for monitoring deliveries |
US9267922B2 (en) * | 2010-09-21 | 2016-02-23 | Miroslaw Wrobel | Method and system for product supply chain assurance |
-
2018
- 2018-08-23 WO PCT/AU2018/050898 patent/WO2019036764A1/fr active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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US20100131419A1 (en) * | 2002-06-20 | 2010-05-27 | Aldata Software Management Inc. | System and method for management of commodity shipment data |
US7791489B2 (en) * | 2003-09-03 | 2010-09-07 | Metrologic Instruments, Inc. | Electronic-ink based RFID tag for attachment to a consumer item and displaying graphical indicia indicating whether or not said consumer items has been read and its integrated RFID module has been activated or deactivated |
US20060052981A1 (en) * | 2004-09-07 | 2006-03-09 | Klein Rudolph J | Method for detecting tampering |
US9267922B2 (en) * | 2010-09-21 | 2016-02-23 | Miroslaw Wrobel | Method and system for product supply chain assurance |
US20150046298A1 (en) * | 2013-08-09 | 2015-02-12 | Air Products And Chemicals, Inc. | Method and system for monitoring deliveries |
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IT201900006634A1 (it) * | 2019-05-08 | 2020-11-08 | Levantoil S R L | Sistema e metodo di tracciamento e di controllo della qualità di un carburante |
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