System and method for tracking geogrid material

Abstract

Various aspects of systems and methods of lifecycle tracking, coordinate tracking, and inventory management of geogrid materials are disclosed that utilize an Internet of Things platform configured with software for receiving data from a multi-sensor tracking unit. In one aspect, a multi-sensor tracking unit is affixed to a geogrid material, where the unit transmits information acquired from a plurality of sensors back to an Internet of Things platform hosted on a server. And the Internet of Things platform processes the information and deeply knows the logistics conditions of the geogrid, including the route from production facilities to final installation, the occurrence weather and the logistics conditions related to supply. In other aspects, a method of processing data includes accessing an API, deriving additional information about the transport path, delivery, and installation of a geogrid through information acquired from a multi-sensor tracking unit and processing by an Internet of Things platform.

Description

[0001] Cross-reference

[0002] This application claims the benefit and priority of U.S. Provisional Patent Application No. 63 / 350,558, filed on June 9, 2022, entitled “SYSTEMS AND METHODS FOR TRACKING GEODIES,” the contents of which are incorporated herein by reference. Technical Field

[0003] The present invention generally relates to logistics and information gathering surrounding the movement and transportation of geogrid materials. In particular, hardware components and processes for tracking geogrid materials using an Internet of Things platform associated with sensors and communication technologies such as global positioning systems, cellular technologies, and satellite communications are disclosed. Background Art

[0004] Geogrids are generally a synthetic material used in civil engineering and construction projects. Geogrids are usually flexible, high-strength mesh or grid structures composed of polymers and additives. Geogrids can be composed of intersecting ribs or strands with nodes and form open spaces for retaining soil and sediment. When installed in the soil, geogrids create a strong interaction between the soil particles and the grid structure. This interaction helps to distribute loads more evenly and improve the shear strength of the soil.

[0005] Geogrids are commonly used in civil construction projects, such as those involving roads, railroad tracks, walls and slopes, and marine environments. Geogrids are manufactured through processes such as extrusion, as well as other mechanical and chemical steps, such as stretching or punching the geogrid, or applying chemical properties such as additives to the geogrid. Once formed, geogrids are typically wound or formed into geogrid rolls or other structures that are best suited for packaging and transportation to the site or storage facility, and then ultimately to the installation site. These can be quite large and may have a variety of specifications, depending on the type of geogrid being manufactured, including geogrid patterns, polymers or other materials, and additives.

[0006] The logistics of producing, packaging, shipping, and delivering geogrids typically require multiple channels, including rail, truck / van, air, and ocean freight. Traditionally, geogrids are shipped from the manufacturer's factory to distributors, who store the geogrids and ultimately ship them to end-use locations. As a result, the life cycle of geogrids is difficult for manufacturers to maintain once they leave the manufacturer. In addition, geogrids are typically made of polymers, which can degrade in quality if exposed to direct sunlight for long periods of time. In addition, since delivery typically involves middleman distributors, it can be difficult or impossible for manufacturers to know when and where the geogrid will be installed. There has long been a need for better understanding of the life cycle of geogrids, including based on understanding of location, sunlight exposure, and natural exposure, all of which can help further improve the way geogrids are manufactured, shipped, and sold. The present disclosure presents some embodiments to provide real-time insights into the life cycle and logistics operations of geogrid materials, including business functions for identifying and optimizing distributor and factory inventory, understanding the type and quantity of geogrids used at a given location, and optimizing manufacturing and logistics. Summary of the invention

[0007] Various aspects of hardware and computer-implemented systems and methods for acquiring data surrounding geogrid materials, including polymer geogrids, geotextiles, and geotextiles are disclosed herein. In certain aspects, the technology described herein relates to a hardware-implemented method for acquiring data surrounding geogrids from manufacturing to installation, including: configuring an Internet of Things (IoT) platform on a server, wherein the configuration hosts the IoT platform on the server, and the server allows access by one or more client computing devices; attaching a multi-sensor tracking unit to a geogrid; wherein the multi-sensor tracking unit geogrid is temporarily or permanently attached; acquiring geogrid information from the multi-sensor tracking unit attached to the geogrid, wherein the geogrid information includes at least a current location; transmitting the geogrid information acquired by the multi-sensor tracking unit to the IoT platform via a wireless network; generating a timeline or map via the IoT platform, including one or more location points acquired by the multi-sensor tracking unit from the geogrid information; and accessing, via one or more client computing devices, the IoT platform to view the timeline or map.

[0008] In some aspects, the technology described herein relates to a method, the method further comprising calculating the duration information of the time spent at a geographic location through an Internet of Things platform, and accessing one or more client computing devices, an Internet of Things platform including a timeline or map of the duration information. In some aspects, the technology described herein relates to a method, wherein the multi-sensor tracking unit obtains information at least once every 60 minutes. In some aspects, the technology described herein relates to a method, further comprising the Internet of Things platform obtaining weather information based on at least the multi-sensor tracking unit at the current location, and associating the weather information with a timeline or map. In some aspects, the technology described herein relates to a method, further comprising obtaining environmental information including temperature, humidity, and ambient light values ​​from the multi-sensor tracking unit, transmitting the environmental information to the Internet of Things platform, and accessing environmental information including a timeline or map through one or more client computing devices, an Internet of Things platform. In some aspects, the technology described herein relates to a method, wherein the transmission of information obtained from the multi-sensor tracking unit depends on the request of one or more client computing devices. In some aspects, the technology described herein relates to a method, the method also includes reducing the transmission rate frequency of the multi-sensor tracking unit when placing the geogrid in a geotechnical environment to save battery consumption, or one or more client computing devices. In some aspects, the technology described herein relates to a method, wherein the environmental information further includes moisture information and salinity information. In some aspects, the technology described herein relates to a method, further including an Internet of Things platform alerting a client computing device when the multi-sensor tracking unit is placed in the geotechnical environment or when the multi-sensor tracking unit fails to send information. In some aspects, the technology described herein relates to a method, further including transmitting, by the tracking unit, information about when the tracking unit is placed underground.

[0009] In certain aspects, the technology described herein relates to a hardware-implemented method for geogrid inventory management, comprising: configuring an Internet of Things (IoT) platform on a server, wherein the configuration hosts the IoT platform on the server, the server allowing access by one or more client computing devices; attaching a multi-sensor tracking unit to a geogrid; temporarily or permanently attaching the multi-sensor tracking unit to the geogrid; shipping the geogrid to a distributor with the multi-sensor tracking unit; obtaining geogrid information from a plurality of sensor tracking units attached to the geogrid, via the one or more client computing devices, wherein the geogrid information includes at least a current location and a unique product identification code; receiving a notification from the multi-sensor tracking unit via the IoT platform that the geogrid has left the distributor's location; and triggering a financial transaction based on the geogrid information from the multi-sensor tracking unit that the geogrid is no longer at the distributor's location. In certain aspects, the technology described herein relates to a method, further comprising calculating the distributor's inventory based on a count of the multi-sensor tracking units and the unique product identification code. In certain aspects, the technology described herein relates to a method, further comprising reporting the distributor's inventory quantity by the IoT platform based on at least the geogrid information, the one or more client computing devices. In certain aspects, the technology described herein relates to a method further comprising scheduling delivery of additional geogrids based on the multi-sensor tracking unit count at a distributor.

[0010] In certain aspects, the technology described herein relates to a method, the method further comprising querying geogrid information by one or more client computing devices, an IoT platform, wherein the query imports product name, product size, and production date from a resource library based on a product identification code from a multi-sensor tracking unit. In certain aspects, the technology described herein relates to a method, wherein the multi-sensor tracking unit includes a GPS module and a gyroscope. In certain aspects, the technology described herein relates to a method, wherein the multi-sensor tracking unit further includes a hardened housing with one or more bayonet tabs, wherein the one or more bayonet tabs protrude to facilitate attachment of the multi-sensor tracking unit with a cable tie.

[0011] In addition, the system and method may be executed on various computing systems and may include functionality and hardware such as a multi-sensor tracking unit. In another aspect, a system for tracking geogrid materials and geogrid inventory management is disclosed. The system includes a geogrid material, a multi-sensor tracking unit connected to the geogrid material, a server configured to host an Internet of Things platform, and at least one client computing device. The system also includes a program executed in at least one client computing device located at a distributor location. The program includes accessing a storage component, such as a relational database, to store information of the Internet of Things platform. In addition, the client computing device may have a client companion application for accessing the Internet of Things platform, which application may be configured as a display driver component to display information across multiple display drivers of the Internet of Things platform. Further graphical user interface / user experience measures may include an alert system, and tracking and location implementation schemes related to weather / climate information. In one aspect, the Internet of Things platform program further derives, calculates, and predicts inventory management based on parameterized data obtained from the multi-sensor tracking unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Many aspects of the present disclosure may be better understood with reference to the following drawings. The components in the drawings are not necessarily drawn to scale, emphasis instead being placed on clearly illustrating the principles of the present disclosure. Additionally, in the drawings, like reference numerals denote corresponding components in the various views. Thus, in the drawings:

[0013] Figure 1A is an example diagram of a geogrid material with a surface mounted tracking unit at the manufacturer or distributor location;

[0014] Figure 1B yes Figure 1A An example of geogrid material being transported on a tractor trailer.

[0015] Figure 1C yes Figure 1A An example of geogrid material being transported by railcar;

[0016] Figure 2 is an example diagram of a multi-sensor tracking unit configured with geogrid material;

[0017] Figure 3 is an example diagram of an IoT platform dashboard that includes information generated by a multi-sensor tracking unit;

[0018] Figure 4A is another example diagram of a multi-sensor tracking unit mounted in a geogrid material enclosure;

[0019] Figure 4Bis an example diagram of a multi-sensor tracking unit in a housing mounted on a geogrid material communicating with a client computing device;

[0020] Figure 5 is a diagram illustrating a series of steps for implementing the tracking and logistics method of the present disclosure;

[0021] Figure 6 is a schematic diagram of an example of a computing system and a server that can host the Internet of Things platform for tracking of the present disclosure;

[0022] Figure 7 is an example diagram of a computing system implementing the present disclosure; and

[0023] Figure 8 is a flow chart of an example method for performing tracing. DETAILED DESCRIPTION

[0024] In the following detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, similar symbols generally identify similar components unless the context dictates otherwise. The illustrative embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be used, and other changes may be made, without departing from the scope of the subject matter herein. It is readily understood that the various aspects of the present disclosure, as generally described herein, and as shown in the drawings, may be arranged, substituted, combined, separated, and designed in a variety of different configurations, all of which are expressly contemplated herein.

[0025] Unless otherwise specifically stated, non-limiting language such as "at least one of X, Y, or Z" should be understood as generally used to indicate that an item, term, etc. can be X, Y, or Z, or any combination thereof (e.g., X, Y, and / or Z), depending on the context. Therefore, such non-limiting language generally does not and should not mean that certain embodiments require that at least one X, at least one Y, or at least one Z each be present.

[0026] one, Example

[0027] In one aspect, an IoT platform is disclosed, wherein the IoT platform is configured on a server as a host and can be connected by multiple client computing devices. The client computing devices can be general computing devices, such as mobile computing devices, or special purpose computing devices, such as barcode scanners. In addition, the devices are typically configured with a display screen for viewing information transmitted and synthesized by the IoT platform when it is running in the cloud or on a remote server. The client computing devices can also be equipped with input devices such as keyboards or touch screens, and can forward updates and information to the IoT platform. In this regard, the logistics functions for managing and tracking geogrid materials can be updated in real time based on the GPS location of the multi-sensor tracking unit, or the information can be entered into the IoT platform from the client computing device by scanning a barcode or QR code. In most cases, the IoT platform information comes from data obtained by the multi-sensor tracking unit, including positioning information (GPS coordinates, latitude, longitude, and duration at the coordinates) and environmental information, such as temperature, ambient light, ambient humidity, gyroscope readings, strain readings, salinity, etc.

[0028] The server hosting the IoT platform application can be a cloud server, such as Microsoft Azure TM , Amazon Web Services TM (Web Services TM ) or Google Cloud TM (Google Cloud TM ) and the like. In addition, the server can be a stand-alone server connected to the network or a remote server. In addition, the server can quickly deploy and expand the repository as needed, thereby providing additional data repositories or storage space as information from one or more sensor tracking units accumulates, thereby providing sufficient storage space for management analysis, such as machine learning functions that change over time, optimization algorithms for series location data and corresponding data retrieved from tracking devices, third-party application programming interfaces (APIs) (for weather results at transportation or installation locations), and other data sources, such as logistics data and storage information, sales and warehousing applications, geographic information systems, weather systems, and climate information.

[0029] The IoT platform may be configured with software that is equipped with various engines, such as a geo-tracking engine, where the geo-tracking engine receives data from one or more GPS tracking units included in a multi-sensor tracking unit that will be attached to the geogrid material and transmit a signal at a time or based on an event (geofencing, wireless communication, etc.), which contains information about the multi-sensor tracking unit. The information may include location, time, temperature, ambient light, gyroscope data, a unique number or identification code of the grid material, or other manufacturing details about the geogrid material, such as the type of polymer material, whether there are additives, the pattern of the geogrid material, the aspect ratio, etc. More information may be obtained through the use of APIs, for example, time and location may interact with a weather API or a climate API to generate accurate multi-sensor tracking unit weather readings to derive the environment in which the geogrid material is located. This information may provide insights into warranty services, product durability, installation locations, and provide more data and information about the life cycle of the geogrid material. Finally, the designed engine on the IoT platform may derive additional information such as the final installation location based on at least ambient light sensors, location information, or RFID interfaces. Among them, an ambient light sensor can indicate that no light has been detected for a period of time, calculate backwards to the date when the lux intensity first disappeared, and then estimate the estimated date of installation based on the fixed GPS location and lux intensity. Similarly, an RFID interface can use communication to check in or out geogrid materials and check whether they have been installed. In this regard, an RFID interface or barcode (QR code) can be scanned or triggered by a client computing device to track geogrid materials and supplies from a specific dealer.

[0030] In another aspect, the tracking unit is attached to the geogrid material after manufacture while the geogrid material is still in the manufacturing plant. Geogrid materials include polymer geogrids, geofabrics, and geotextiles. The multi-sensor tracking unit can be placed in a shield or dust cover, protective box, or rainproof box to allow sensitive electrical equipment and sensors to function normally while being protected from the outside environment. The multi-sensor tracking unit can be attached by means such as glue or cable ties, or can be equipped with a special clip to retract the tracking unit upon final delivery. In other aspects, the multi-sensor tracking unit can remain on the geogrid material for life cycle tracking. In addition, the multi-sensor tracking unit can have a battery life of up to several years, and in some cases, it can even be equipped with a small solar cell configured on the housing to provide additional operating time and increase the frequency of data reporting. In addition, the multi-sensor tracking unit can send signals at specific time intervals or set times, including intervals of less than one minute, five minutes or less, and less than sixty minutes. The interval time can even be set to days, weeks, or years depending on the remaining battery time and the intended purpose of installing the multi-sensor tracking unit. Each data request or transmission drains the battery, so the frequency must be balanced with the available information. The multi-sensor tracking unit can be configured to transmit information obtained through cellular networks, satellite networks, and the Global Positioning System ("GPS"). The transmitted information is stored in a server / repository / database configured on the IoT platform, which can run various algorithms and communicate with multiple application programming interfaces to obtain additional information based on the raw information provided by the multi-sensor tracking unit. In addition, the IoT platform hosted on the server is configured to communicate with multiple client devices for viewing insights, providing data to the platform, and performing calculations on the data through the IoT platform.

[0031] In one aspect, the IoT platform has a map function and summary function that can display a summary of the location of the tracking unit as it moves with the geogrid material, and can be configured through the API to display map location, weather information and various attributes about the geogrid material (such as unique ID and product name). In addition, the IoT platform can be configured to incorporate API data such as weather, climate, logistics, and allow insights to be derived from the data obtained by the multi-sensor tracking unit to develop a travel chronicle or timeline, and can also display the transportation time, final positioning or installation location.

[0032] two, Reference chart

[0033] Figure 1Ais an example diagram of geogrid material with surface mounted tracking units at a manufacturing or distributor facility 100a. In this example, a surface mounted multi-sensor tracking unit 104a is attached to the geogrid material 102a via a plastic tie. The multi-sensor tracking unit 104a may also be configured to the geogrid material via permanent or non-permanent components, including adhesives, tapes, wraps, ties, or wrapping the tracking unit within a polymer matrix of the geogrid material. In some aspects, the tracking unit may be placed on the geogrid material during the manufacturing process or may be "melted" into the geogrid material. In other aspects, the tracking unit may be installed after processing, and in other aspects, the tracking unit may be installed a second time after leaving the manufacturing site and used during the shipping phase.

[0034] The multi-sensor tracking unit may also be placed in a protective case or jacket to protect the internal circuitry and computing equipment during transportation and when placed in the ground with the geogrid. The geogrid material may be subjected to extreme environmental conditions during transportation and may also be stored in an open environment for a long time. Therefore, the protective case can also accommodate backup batteries or other items such as solar cells to replenish power for the onboard battery system. The protective case can be the housing of the tracking unit itself or it can be an additional housing unit. The protective case can also meet the IP55 standard for water and dust resistance.

[0035] exist Figure 1A In the example, geogrid materials are post-processed, wrapped, tagged, and stacked awaiting shipment. Information conveyed on printed labels or other text may be digitally transmitted or printed, or stored on the multi-sensor tracking unit, thereby reducing the need to print and tag items from the production facility and further aiding in logistics. In one aspect, the multi-sensor tracking unit acts as an onboard hard drive or data repository that can communicate with one or more client computing devices to access the digitally stored information. Additionally, the tracking unit may be installed early in the manufacturing process and assist throughout the process, including post-processing steps that may include spraying additives.

[0036] Figure 1B is an example diagram of a shipment of geogrid material 102b with a multi-sensor tracking unit 104b being shipped via a tractor trailer / truck 100b. In this regard, the geogrid material 102b is often exposed to various elements, such as direct sunlight, and weather patterns during the transportation route. The multi-sensor tracking unit is configured to provide not only tracking, but also readings such as ambient light to determine if the geogrid material is directly exposed to sunlight and for how long, thereby assisting in calculating the usable life and any performance degradation based on exposure.

[0037] Figure 1C1 is an example of a geogrid material with multiple sensor tracking units being shipped via a railcar. In this regard, the railcar 100c is sometimes an open-air vehicle, and thus the geogrid material 102c may be subject to varying degrees of sunlight exposure, as well as compaction of the load and other environmental factors. Also in this regard, the multiple sensor tracking units 104c are attached via cable ties or plastic reinforcements to be tied through the open pores of the geogrid material. For geotextiles, the multiple sensor tracking units may be attached via adhesives, or stitched, or attached with polymer fasteners.

[0038] Now please see Figure 2 , examples of various tracking units or modules 200 and form factors are shown. These units can be combined with other sensors and computing devices to form a multi-sensor tracking unit. In addition, they can also be isolated, where the tracking unit itself forms a multi-sensor tracking unit, as the IoT platform can deduce or calculate weather, humidity, ambient light based on GPS coordinates and the API layer of the repository storing such data.

[0039] In this example, the tracking modules can be of various shapes and sizes and can be designed or specially manufactured to be attached to the geogrid. In other aspects, the tracking unit can be an off-the-shelf tracking unit with a protective cover. In other aspects, the tracking unit or module can be an off-the-shelf product that is adapted or configured to be attached to the geogrid material.

[0040] The tracking units in the multi-sensor tracking unit include Optimus TM 、Trak-4 TM 、Lonestar Tracking TM 、Linxup TM In one preferred aspect, a multi-sensor tracking unit is a tracking unit configured with additional sensors to not only relay location, but also accumulate data from moisture sensors, ambient light sensors, strain gauges, gyroscopes, and other sensors to provide insight into the lifecycle of the geogrid material from manufacturing to distribution to final installation. In one aspect, the battery life of a multi-sensor tracking unit can be as short as a few days to as long as seven years. Battery life can be affected by the frequency of information sampling and transmission and the physical size of the tracking unit. Additionally, solar cells or piezoelectric charging devices can be used to enhance the battery's capabilities.

[0041] Various multi-sensor tracking units can be attached to the geogrid material by physical, mechanical, or chemical methods, thereby allowing the multi-sensor tracking unit to remain with the geogrid material. In some cases, the multi-sensor tracking unit can be removed and reused for additional deployments of the geogrid material. In other cases, the multi-sensor tracking unit can remain with the geogrid material, thereby continuing to acquire data from the deployment area and generating a life cycle image of the geogrid material.

[0042] Now please refer to Figure 3 , an illustration of an example graphical user interface / user experience (GUI / UX) of an IoT platform 300 viewed from a client computing device, containing information compiled from a multi-sensor tracking unit. The IoT platform is typically hosted on a server and accessed by multiple client computing devices (mobile phones, tablets, computers) over the Internet. In one aspect, application modules within the IoT platform are disclosed. In this example, a display of the application module is loaded into a memory configured on the client computing device and generates a map view 302 or timeline, such as Figure 3 The IoT platform GUI example is shown. Thus, the present disclosure may form an application module and may configure a client computing device to process programmable instructions, which may include logic instructions, and view general data from any number of multi-sensor tracking units. The timeline or map may be a visual effect generated from the data obtained from the IoT platform, through the network to the multi-sensor tracking units. Thus, each timeline or map may be configured to one or more multi-sensor tracking units, thereby forming a unique inventory graphical representation, as well as comprehensive product details, manuals and resources.

[0043] In one example, the application module will be loaded into memory, usually RAM, and further communicate through a bus controller to transfer instructions to the processing unit. The processing unit is configured to the system bus, which provides a path for electrical signals to quickly move data into the system and to the processing unit. A typical system bus controls three internal buses or channels, namely the data bus, address bus, and control bus. The I / O interface module can be any number of general-purpose I / O, including programmed I / O, direct memory access, and channel I / O. Furthermore, within programmed I / O, it can be port-mapped I / O or memory-mapped I / O, or any other protocol that can effectively handle the incoming information or signals.

[0044] The application module executed on the client computing device receives information from the server via the IoT platform and in some cases sends content from the IoT platform to the client computing device via notifications or alerts. In other aspects, the application module is a browser window that accesses the IoT platform. In other aspects, it can be a standalone application installation, or a side-loaded application, such as an application provided on a mobile computing device through an application store. In the form of an application, some resources can be downloaded to the client computing device and refresh information from the IoT platform, which communicates with the multiple sensor tracking units. In addition, the client computing device can push information to the IoT platform through the application, and the IoT platform can change the database or repository, such as changing a field by comparing updates provided by location sensing on the multi-sensor tracking unit with the client computing device. In this regard, the client computing device can scan a barcode or use wireless communication such as Bluetooth or NFC to locate a specific multi-sensor tracking unit, so that information about the location or confirmation of the tracking unit status can be pushed to the IoT platform.

[0045] exist Figure 3 In the example of , a high-level overview of geogrid shipments is disclosed. In this example, a dashboard, a map view 302, a list view (304, 306, 308, 310), and the ability to create shipments within the IoT platform are available. In addition, a summary of information transmitted by the tracking unit includes a map of the location and location. Other information may also be provided, such as a multi-sensor tracking unit status diagram, and an alarm summary, in which all alarms are summarized or organized for customer review. In addition, the IoT platform may provide reports on items such as inventory based on counts at a given location. For example, a manufacturer may ship geogrid materials to a distributor, where they are stored, and invoices may only be issued when the multi-sensor tracking unit indicates that the geogrid materials have left a specific geographic area or fence. Thus, invoicing and billing logistics can be managed by viewing available geogrid materials, including the ability to reallocate specific geogrid materials from a warehouse or distributor location. Thus, the multi-sensor tracking unit can be used as an inventory management tag and can be integrated into a core software solution for invoicing and processing supply. In one aspect, the IoT platform can be integrated into a warehouse database or field database for storing inventory and materials. This type of reporting aids in logistics and can be used to automate the transportation and movement of geogrid materials to get them to locations where material shortages occur.

[0046] Continuing, in the map view 302 on the client computing device, looking at the IoT platform, trip start location A 304 represents the manufacturer site, or site where the multi-sensor tracking unit was installed. Next, input system location B 306 represents a stopping point or data point received by the IoT platform, which could be a distributor site, a warehouse, or simply a timed response based on the frequency of transmissions. Similarly, input system location C 308 also represents a third data point or location obtained from the multi-sensor tracking unit. Finally, input system location D 310 may represent an installation site, or it may represent a delivery to a distributor or installer. In any case, the data points rendered on the map interface of the client computing device are generated by the data obtained by the multi-sensor tracking unit, as well as the IoT platform and any API calls that may bring in additional repository data.

[0047] Figure 4A is another example of a multi-sensor tracking unit in housing 404 mounted on geogrid material 402. In this example, cable ties are configured to the housing of the tracking unit and placed on the components of the geogrid material to securely attach and prevent the tracking unit from being lost in transit. The tracking unit may be further painted or otherwise marked to facilitate identification and location when installed. In some aspects, the tracking unit is placed in the ground and installed with the geogrid so that the ambient light sensor can indicate its final location and provide better insight into the study of the transport corridor. In other aspects, it is removed, the battery replaced or recharged, and recycled into further applications of geogrid material tracking, thereby allowing the cycle to repeat in perpetuity.

[0048] Reference now Figure 4B , Figure 4A An example of a multi-sensor tracking unit 404 communicating with a client computing device 406 in FIG. 4 , where the client computing device may "check in" with the multi-sensor tracking unit during field installation, or call up product information and certificates to ensure that the product is authentic, while referencing a digital manual or other information that may be provided by the IoT platform. This information may include a unique product identifier, product name, product specifications (size, material, weight, batch number, manufacturing location, manufacturing date), and links to brochures, installation instructions, usage guides, warranty information, and general product resources.

[0049] Figure 5is a diagram illustrating a series of steps for implementing the tracking method disclosed herein. In this example, geogrid materials are tagged at a factory 502, and a multi-sensor tracking processing unit is installed at the factory 502 by manual processing or production line automation. The geogrid material is then transported to a distribution center 504, where it is stored for a period of time before being selected for shipment to a customer staging site. Next, the geogrid material is selected 506 and shipped to a customer staging location 508, which is typically close to the final installation site and may expose the geogrid material to various factors (sun, rain, snow). Next, the geogrid material arrives at the final operation site 510, where the tracking unit is removed and the geogrid is installed. In other embodiments, the tracking unit may remain in place to collect more data or as a long-term performance tracking at the end of the life cycle. Through the time sequence of this example, the geogrid is placed in multiple environments and enters multiple field locations for logistics and warehousing, and through all of this, the manufacturer may not know the ultimate end customer or installation site. Therefore, the present disclosure provides new insights into tracking and providing quality assurance, warranty and performance indications for geogrid materials. In addition, manufacturers can also gain insight into the installation site and transportation conditions of geogrids, including the duration of each stage, and whether transportation and storage conditions affect the performance of geogrid materials. By understanding this information, the IoT platform can provide more measurement of product performance. In addition, through tracking and communication capabilities with multi-sensor tracking units, distributor networks solve inventory issues by diverting shipments of geogrid materials at distribution centers that are not actively consumed. Therefore, the multi-sensor tracking unit is a smart logistics device that enables manufacturers to understand supply shortages and better meet the needs of distributors and end consumers.

[0050] On the one hand, Figure 5 In the example of , an application graphical user interface that can be displayed within a client computing device provides updates and progress of the shipment, including the time spent at various stages and general location, weather, and other information provided by a multi-sensor tracking unit attached to the geogrid material. As mentioned earlier, additional information can be obtained from the onboard analytics design unit within the IoT platform, including the unique geogrid material ID, manufacturing date, type of geogrid, time taken from factory to installation site, installation date, installation project name, and weather conditions throughout the transit process, among others.

[0051] like Figure 5 As shown, geofencing can be used for reporting and warehousing as well as production lines. When a tracked unit crosses a fence threshold, an entry appears in a relational database that can update status or inventory, or can be used for transportation logistics. Geofencing also comes with a material zone, or area where materials can be tracked, including recording movement, storage, and use in geotechnical projects.

[0052] Now please refer to Figure 6 , Figure 6 An example of a client computing system and server that can host an IoT platform for tracking and logistics geogrid materials is disclosed. In the example, a server 612 is accessed through a client computing device 602, including peripherals such as a mouse, keyboard, and display (collectively referred to as 616). This configuration can be used at the manufacturer's site and can interact directly with billing software, manufacturing software, and other modules to produce an overall visual operation as an enterprise resource management solution. Continuing, a communication interface 614 is connected to the client computing device, where the IoT platform is hosted on the server 612, where data from one or more sensor tracking units is transmitted and incorporated into a database repository on the server 612. The communication interface can be any network module capable of communicating over the Internet. The client computing device is typically configured with memory 610, GPU 608, CPU 606, and I / O functions 604. In one aspect, the computing device can log in as an administrator and access features on the IoT platform that are not available to the client. In other aspects, the computing device can log in as a client and access features such as map overview, tracking, summary, current location, weather, duration, transmission time, etc.

[0053] In addition, according to Figure 6 In the example of FIG. 1 , there may be multiple servers, where the server may be a cloud computing network, communicating with a multi-sensor tracking unit. Such communication may be radio frequency communication, such as cellular communication, as well as GPS communication protocols, to transmit information including location from the tracking unit to the server for executing program instructions and drawing conclusions.

[0054] Reference now Figure 7 , provides an illustration of an example of a computing system for implementing the present disclosure. Figure 7 In the example of , a general purpose computing device is disclosed that may include certain aspects of a client computing device and a server hosting an IoT platform. The general purpose computing device may also be embodied in a mobile computing platform or field device 708, such as a smartphone, a cellular phone, a smart watch, a wrist watch, glasses, or AR glasses, etc. In other aspects, the general purpose computing device may be a microcontroller and may be adapted to specific elements of the present disclosure, and even further, a special purpose computing device may form an element of the present disclosure. Figure 7In the example embodiment of the computing device, the computing device is composed of several components. First, the computing device is equipped with a timer 710. The timer 710 can be used to generate a time delay to save battery or control the sampling rate and other applications. The computing device is further equipped with a memory 720, wherein the memory 720 includes a long-term storage system 722 composed of solid-state hard disk technology (such as NAND) or can also be equipped with other hard disk technologies (including various types of parallel advanced technology attachments, serial ATA, small computer system interface and solid-state hard disks). Bus control 718 allows instructions to be transmitted between various field devices 708 components. Further, long-term storage may include volatile and non-volatile memory components. For example, the processing unit 716 and / or the designed mobile application / module 728 can access data tables or information in a relational database or an unstructured database in a long-term storage, such as a NAND or other solid-state hard disk. The memory 720 of the computing device example embodiment also includes a random access memory (RAM) 724, which stores program instructions together with a cache 726 for buffering the instruction stream to the processing unit. RAM 724 is typically composed of volatile memory, but may also include non-volatile memory. RAM 724 is a data space used to temporarily store constant and variable values ​​used by the computing device during normal program execution, such as module 728 executed by the processing unit. Similar to data RAM, special function registers may also be present, which operate similarly to RAM registers, allowing reading and writing. Special function registers differ in that they can be used specifically to control on-chip hardware outside of the processing unit.

[0055] Figure 7 The computing device in the embodiment may be applicable to the device configured on the server and the device configured on the client device disclosed herein. In addition, the application instructions may exist on both the server and the client device. In both examples, the present disclosure provides for executing, storing, transmitting, processing or otherwise calculating, tabulating or performing tasks by instructions provided to a central processing unit on the computing device.

[0056] Continuing, the network adapter 712 is used to communicate with the central system 702 via the communication network 704. The communication network can be any network, such as a wired or wireless network, or even a satellite network. The central system 702 in this regard is the cloud server hosting the IoT platform. As is known, the central system can be composed of many servers that are geographically independent of each other but can still perform the same intended functions of the IoT platform.

[0057] Data input to the field device 708 can come from various external devices 730, such as keyboards, cameras, touch interfaces, etc. In addition, input devices 732 can be specifically used for client computing devices, such as integrated touch screens in mobile phones and tablets. Finally, the field device 708 can be connected to other field devices or systems 734 through a network adapter or I / O interface module 714.

[0058] Reference now Figure 8 , an example method for tracking and monitoring geogrid materials using the system. In one aspect, the method first configures an IoT platform 810 on a server, wherein the configuration loads the IoT platform into memory, calls a database / information repository, such as a unique ID for each multi-sensor tracking unit, and further grants access credentials to one or more client computing devices to view a user interface and provide information and instructions to the user.

[0059] Next, in this example method, a multi-sensor tracking unit is attached to a geogrid material 820, wherein it is designed to remain with the geogrid material through post-manufacturing, distributors, and end-use / installation. In some aspects, the multi-sensor tracking unit remains on the geogrid material after installation and continues to serve as a geolocation marker and to continuously accumulate data from one or more sensors on the multi-sensor tracking unit. In other aspects, the multi-sensor tracking unit is removed from the geogrid material and deployed on a newly manufactured geogrid material, thereby, the multi-sensor tracking unit's onboard storage and digital nature of interacting with the IoT platform allows for rapid reconfiguration of the multi-sensor tracking unit, enabling each multi-sensor tracking unit to continue to be used over its lifecycle.

[0060] Continuing, the multi-sensor tracking unit transmits information back to the IoT platform 830 via a wireless protocol, which can be done by connecting or configuring with a client computing device, or by satellite and GPS satellite communication. Next, the server receives the information from the multi-sensor tracking unit 840 and stores it in a configured repository, where the IoT platform accesses and generates a visual map 850 by calling a map API (such as Google Maps) and placing GPS markers at frequency intervals. In addition, the IoT platform can also call a weather API and confirm other on-board sensors, such as a humidity sensor.

[0061] Finally, the client computing device can access the IoT platform 860 on the client application and can interact with the IoT platform by viewing, editing, and saving content. In one aspect, the client computing device can connect to the multi-sensor tracking unit using near field communication and push information to a repository configured as the IoT platform. In these aspects, the client computing device can configure geogrid materials at the distributor site. For example, a 40-foot roll of geogrid may be cut in half due to damage or customer request, at which time the multi-sensor tracking unit can be updated at the distributor and information can be pushed to configure the new size of geogrid material. Therefore, these methods and systems help eliminate waste and increase productivity and utilization of geogrid materials.

[0062] three, Implementation

[0063] The following claims and implementations help to better understand the present disclosure:

[0064] Clause 1. A hardware implementation method for obtaining data around a geogrid from manufacturing to installation, comprising: configuring an Internet of Things (IoT) platform on a server, wherein the IoT platform is configured to be hosted on the server, and the server allows one or more client computing devices to access; attaching a multi-sensor tracking unit to the geogrid; wherein the multi-sensor tracking unit is temporarily or permanently attached to the geogrid; obtaining geogrid information from the multi-sensor tracking unit attached to the geogrid, wherein the geogrid information includes at least a current location; transmitting the geogrid information obtained by the multi-sensor tracking unit to the IoT platform via a wireless network; generating a timeline or map including one or more location points from the geogrid information obtained by the multi-sensor tracking unit by the IoT platform; and accessing the IoT platform through one or more client computing devices to view the timeline or map.

[0065] Clause 2. The method of Clause 1 further includes calculating, by the IoT platform, information on the duration that the geogrid stays at a geographic location, and accessing, through one or more client computing devices, the IoT platform including a timeline or map, wherein the timeline or map includes the duration information.

[0066] Clause 3. The method of clause 1, wherein the multi-sensor tracking unit acquires information at least once every 60 minutes.

[0067] Clause 4. The method of clause 1, further comprising obtaining weather information based on the multi-sensor tracking unit of at least the current location and associating the weather information with a timeline or a map.

[0068] Clause 5. The method of Clause 1 also includes obtaining environmental information including temperature, humidity, and ambient light values ​​from the multi-sensor tracking unit, transmitting the environmental information to the Internet of Things platform, and accessing the Internet of Things platform including a timeline or map through one or more client computing devices, wherein the timeline or map includes the environmental information.

[0069] Clause 6. The method of clause 1, wherein transmitting the information obtained from the multi-sensor tracking unit is dependent upon a request from one or more client computing devices.

[0070] Clause 7. The method of clause 6 further includes reducing the transmission rate frequency of the multi-sensor tracking unit based on at least an ambient light value, or an RFID signal, or a signal from one or more client computing devices when the geogrid is placed in a geotechnical environment to save battery consumption.

[0071] Clause 8. The method of Clause 5, wherein the environmental information also includes humidity information and salinity information.

[0072] Clause 9. The method of Clause 7 further includes the Internet of Things platform sending an alert to the client computing device when the multi-sensor tracking unit is placed in the geotechnical environment or the multi-sensor tracking unit fails to send information.

[0073] Clause 10. The method of clause 1, further comprising transmitting, by the tracking unit, information about when the tracking unit is placed underground.

[0074] Clause 11. A hardware implementation method for geogrid inventory management, comprising configuring an Internet of Things (IoT) platform on a server, wherein the IoT platform is configured to be hosted on the server, and the server allows one or more client computing devices to access it; attaching a multi-sensor tracking unit to the geogrid; wherein the multi-sensor tracking unit is temporarily or permanently attached to the geogrid; transporting the geogrid equipped with the multi-sensor tracking unit to a distributor via truck or rail; obtaining geogrid information from the multi-sensor tracking unit attached to the geogrid via one or more client computing devices, wherein the geogrid information includes at least a current location and a unique product identification code; receiving a notification from the multi-sensor tracking unit via the IoT platform that the geogrid has left the distributor's location; and triggering a financial transaction based on the geogrid information from the multi-sensor tracking unit that the geogrid is no longer at the distributor's location.

[0075] Clause 12. The method of clause 11, further comprising calculating the distributor's inventory based on the count of the multi-sensor tracking unit and the unique product identification code.

[0076] Clause 13. The method of Clause 11 further includes the IoT platform reporting the distributor's inventory quantity to one or more client computing devices based at least on the geogrid information.

[0077] Clause 14. The method of clause 12, further comprising scheduling delivery of additional geogrids based on the count of the multi-sensor tracking unit at the distributor.

[0078] Clause 15. The method of Clause 11 further includes one or more client computing devices querying the Internet of Things platform for geogrid information, wherein the query imports product name, product size, and production date from a repository based on a product identification code of the multi-sensor tracking unit.

[0079] Clause 16. The method of clause 11, wherein the multi-sensor tracking unit comprises a GPS module, a communication module, a gyroscope, an ambient light sensor, and a humidity sensor.

[0080] Clause 17. The method of clause 11, wherein the multi-sensor tracking unit further comprises a hardened housing with one or more tabs, wherein the one or more tabs protrude to facilitate attachment of the multi-sensor tracking unit with a cable tie.

[0081] It should be emphasized that the above-mentioned embodiments and implementations of the present disclosure are merely possible embodiments proposed for a clear understanding of the principles of the present disclosure. Many changes and modifications may be made to the above-mentioned embodiments without departing substantially from the scope and principles of the present disclosure. All such modifications and changes are intended to be included within the scope of the present disclosure and are protected by the following claims.

Claims

1. A hardware-implemented method for acquiring data about geogrids from manufacturing to installation, comprising: configuring an Internet of Things (IoT) platform on a server, wherein the configuration hosts the IoT platform on the server, and the server allows access by one or more client computing devices; Attaching a multi-sensor tracking unit to a geogrid; wherein the multi-sensor tracking unit is temporarily or permanently attached to the geogrid; acquiring geogrid information from the multi-sensor tracking unit attached to the geogrid, wherein the geogrid information includes at least a current position; Transmitting the geogrid information acquired by the multi-sensor tracking unit to the Internet of Things platform via a wireless network; Generating, by the IoT platform, a timeline or map including one or more location points from the geogrid information acquired by the multi-sensor tracking unit; and Access the IoT platform through the one or more client computing devices to view the timeline or map.

2. The method according to claim 1 further includes calculating, by the IoT platform, information on the duration of the geogrid staying at the geographic location, and accessing, through the one or more client computing devices, the IoT platform including a timeline or a map containing the duration information.

3. The method of claim 1, wherein the multi-sensor tracking unit acquires the information at least once every sixty minutes.

4. The method of claim 1, further comprising obtaining weather information based on the multi-sensor tracking unit of at least the current location and associating the weather information with the timeline or map.

5. The method of claim 1 , further comprising obtaining environmental information including temperature, humidity, and ambient light values ​​from the multi-sensor tracking unit, transmitting the environmental information to the IoT platform, and accessing the IoT platform including a timeline or a map containing the environmental information through the one or more client computing devices.

6. The method of claim 1, wherein transmitting the information acquired from the multi-sensor tracking unit is dependent upon a request from the one or more client computing devices.

7. The method according to claim 6 also includes, when the geogrid is placed in a geotechnical environment, reducing the transmission rate frequency of the multi-sensor tracking unit according to at least the ambient light value, or the RFID signal, or a signal from one or more client computing devices to save battery consumption. The method according to claim 5 , wherein the environmental information further comprises humidity information and salinity information.

9. The method of claim 7, further comprising the Internet of Things platform issuing an alert to the client computing device when the multi-sensor tracking unit is placed in the geotechnical environment or the multi-sensor tracking unit fails to send the information.

10. The method of claim 1, further comprising transmitting, by the tracking unit, information about when the tracking unit was placed underground.

11. A hardware implementation method for geogrid inventory management, comprising: configuring an Internet of Things (IoT) platform on a server, wherein the configuration hosts the IoT platform on the server, and the server allows access by one or more client computing devices; Attaching a multi-sensor tracking unit to a geogrid; wherein the multi-sensor tracking unit is temporarily or permanently attached to the geogrid; transporting the geogrid equipped with the multi-sensor tracking unit to a distributor by truck or rail; obtaining, by the one or more client computing devices, geogrid information from the multi-sensor tracking unit attached to the geogrid, wherein the geogrid information includes at least a current location and a unique product identification code; receiving, via the Internet of Things platform, a notification from the multi-sensor tracking unit that the geogrid has left the distributor's location; and A financial transaction is triggered based on the geogrid information from the multi-sensor tracking unit that the geogrid is no longer at the distributor's location.

12. The method of claim 11, further comprising calculating the distributor's inventory based on the count of the multi-sensor tracking units and the unique product identification codes.

13. The method according to claim 11 further includes the Internet of Things platform reporting the inventory quantity of the distributor to the one or more client computing devices based on at least the geogrid information.

14. The method of claim 12, further comprising scheduling delivery of additional geogrids based on the count of the multi-sensor tracking unit at the distributor.

15. The method of claim 11, further comprising the one or more client computing devices querying the IoT platform for the geogrid information, wherein the query imports a product name, a product size, and a production date from a repository based on the product identification code of the multi-sensor tracking unit.

16. The method of claim 11, wherein the multi-sensor tracking unit comprises a GPS module, a communication module, a gyroscope, an ambient light sensor, and a humidity sensor.

17. The method of claim 11, wherein the multi-sensor tracking unit further comprises a hardened housing with one or more bayonet tabs, wherein the one or more bayonet tabs protrude to facilitate attachment of the multi-sensor tracking unit with a cable tie.

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