APPARATUS AND METHOD FOR A YIELD IMPROVEMENT SYSTEM
20210325235 · 2021-10-21
Inventors
- Dmitry Taveren (McCormick, SC, US)
- David Cravens (Washington, GA, US)
- Amato Spagnoletti (Ramsey, NJ, US)
Cpc classification
G01G23/007
PHYSICS
G01G19/52
PHYSICS
G01G15/001
PHYSICS
G01G21/22
PHYSICS
International classification
G01G15/00
PHYSICS
G01G21/22
PHYSICS
Abstract
A yield improvement system adapted to weigh an object including a weighing device having a holder that is adapted to removably receive the object to be weighed and a load sensor that is adapted to determine the weight of the object to be weighed. The yield system also includes a programmable logic controller that is in electrical communication with the weighing device, a cloud platform that is in electrical communication with the programmable logic controller, and an application program interface (API) that is in electrical communication with the cloud platform, and a means for removably attaching the weighing device to an anchoring device. A method comprising providing a yield improvement system and weighing an object.
Claims
1. A yield improvement system adapted to weigh an object, said yield improvement system comprising: (a) a weighing device, said weighing device comprising: (1) a holder, said holder being adapted to removably receive the object to be weighed; (2) a load sensor, said load sensor being adapted to determine the weight of the object to be weighed; (b) a programmable logic controller, said programmable logic controller being in electrical communication with the weighing device; (c) a cloud platform, said cloud platform being in electrical communication with the programmable logic controller; (d) an application program interface (API), said application program interface (API) being in electrical communication with the cloud platform; (e) a means for removably attaching the weighing device to an anchoring device.
2. The yield improvement system of claim 1 further comprising a solar energy generation source, said solar energy generation source being operatively connected to the programmable logic controller.
3. The yield improvement system of claim 1 further comprising a notification device.
4. The yield improvement system of claim 3 wherein the notification device provides an audio notification.
5. The yield improvement system of claim 3 wherein the notification device provides a video notification.
6. The yield improvement system of claim 1 wherein the weighing device comprises a display.
7. The yield improvement system of claim 1 wherein the means for removably attaching the weighing device to the item of equipment comprises an extendable tube.
8. The yield improvement system of claim 1 wherein the holder comprises a magnet.
9. The yield improvement system of claim 1 wherein the holder comprises a holder spacer.
10. The yield improvement system of claim 1 wherein the weighing device comprises a weighing device spacer.
11. The yield improvement system of claim 1 wherein the weighing device comprises a microcontroller unit (MCU).
12. The yield improvement system of claim 11 wherein the microcontroller unit (MCU) comprises a speaker.
13. A method for improving the yield of a weighed object, said method comprising: (a) providing a yield improvement system adapted to weigh an object, said yield improvement system comprising: (1) a weighing device, said weighing device comprising: (i) a holder, said holder being adapted to removably receive the object to be weighed; (ii) a load sensor, said load sensor being adapted to determine the weight of the object to be weighed; (2) a programmable logic controller, said programmable logic controller being in electrical communication with the weighing device; (3) a cloud platform, said cloud platform being in electrical communication with the programmable logic controller; (4) an application program interface (API), said application program interface (API) being in electrical communication with the cloud platform; (5) a means for removably attaching the weighing device to an anchoring device; (b) weighing the object.
14. The method of claim 13 further comprising providing notification that the yield improvement system is ready to receive a container.
15. The method of claim 13 further comprising providing notification that the yield improvement system has detected the size of the container.
16. The method of claim 13 further comprising providing notification that the container is under-filled.
17. The method of claim 13 further comprising providing notification that the container is over-filled.
18. The method of claim 13 further comprising providing notification that the container is properly filled.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The presently preferred embodiments of the invention are illustrated in comestible dispensing applications the accompanying drawings, in which like reference numerals represent like parts throughout, and in which:
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DESCRIPTION OF THE PREFERRED EMBODIMENTS OF THE INVENTION
[0025] Referring now to the drawings, the preferred embodiment of the yield improvement system in accordance with the present invention is illustrated by
[0026] In order to automate operation and minimize the required interaction with an operator, the preferred scale is adapted to automatically: [0027] 1. tare weight, [0028] 2. adjust zero drift using embedded temperature and firmware compensation, [0029] 3. execute self-calibration routine for increased measurement precision, [0030] 4. detect the type of serving packaging and size of target portion, [0031] 5. calibrate liquid dispensers/shake machines by weight through use of embedded functionality, [0032] 6. measure baking/cooking ingredients, [0033] 7. prevent the overfilling and/or holding of more product than specified by use of system's holder designs, [0034] 8. power and charge the scale and data processing device by the battery power source rechargeable with the portable solar panel, that collects energy from heating and/or ambient lamps, [0035] 9. aggregate massive amounts of operational and performance data for cloud data and analytics platform, which in turn uses proprietary smart software algorithms, AI-analysis, and self-learning software models to provide unique visibility of the serving apportionment operations, automatically calculates yield, served portions, calorie count of each individual food serving and other associated metrics/benefits, [0036] 10. visually present/illustrate data, metrics, notifications to personnel for corrective actions and improvements (including voice commands and virtual training), and various other alerts and information provided to improve operations/product yield/quality/safety [0037] 11. generate performance reports, assessing operator performance/accuracy, comparison with operator ranking, and calculating product savings and/or loss. [0038] The preferred method associated with the disclosed system comprises the following steps: [0039] 1) Mounting the digital weigh scale in the food assembly or other material dispensing area. The preferred scale has an affixed food serving support structure/holder. [0040] 2) Placing a serving container on the scale supporting structure/holder [0041] 3) The preferred digital weigh scale automatically recognizes the container and assigns the target portion size by a combination of following methods: [0042] 3.a) Food serving or apportioned material container is automatically weighed. Proprietary firmware and cloud data and analytics platform automatically analyzes and assigns the specified target portion size [0043] 3.b) Operator issues a command to define the target portion size. Acceptable methods of delivering command include voice, motion, touch, contact and non-contact interactions. [0044] 3.c) Required target portion size, along with additional data is obtained through multiple data communication channels with POS, order tracking, inventory tracking personnel tracking, and backend and other external data processing systems related to the operation of restaurant/facility. [0045] 4) Filling the serving container with comestibles/materials up to the required portion size [0046] 4.a) Automatically weighing the container and its contents while the container is being filled [0047] 4.b) Obtaining audio and/or visual indications to improve filling accuracy and enhance performance [0048] 4.c) Automatically collecting and exchanging operational data with the cloud data and analytical platform for further processing, analysis, and representation [0049] 5) Removing assembled serving from the digital scale and transitioning it to the next area. It should further be noted that operational data is preferably automatically collected at all times, capturing not only active usage of the system but also system idle operation. Furthermore, audio and visual indication components that are part of the digital scale can be used to deliver various information generated by the cloud data and analytical platform (e.g. notifications, performance scores, marketing and promotions).
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[0058] Disclosed is a system together with an associated data acquisition and processing method. The system is made up of the following components: digital weight scale, data processing device, cloud data & analytics platform. These components are related as follows: digital weight scale, its performance and parameters are controlled by the data processing device that collects the scale usage data, regulates operation of the scale, processes aggregated data and exchanges this data with the cloud data and analytics platform. Cloud data and analytics platform comprises software components which perform manipulations of digital weight scale data: data processing, data analytics, visual representation, AI-learning, notifications, alarms, generation of corrective actions, voice commands, performance reports/comparison, ranking, making available such features at a local or remote level.
[0059] Also disclosed is a method to collect food serving weight and apportioned material data in an unobtrusive way:
[0060] 1) Placing a digital weight scale with affixed food serving or apportioned material supporting surface/structure in food serving assembly or apportioned material area
[0061] 2) Placing food serving or apportioned material container on the supporting surface/structure
[0062] 3) Automatically choosing the target portion size by one or a combination of following methods: [0063] a) Weighing said food serving or apportioned material container to automatically choose target portion size required for that specific container [0064] b) Receiving a command from the operator who is using the digital weigh scale system [0065] c) Integration with POS, Order tracking or other external data system
[0066] 4) Filling container with comestibles or apportioned material to the specified portion amount: [0067] a) By weighing container and product while it is being filled [0068] b) Providing visual and/or audio indication of weight to the operator [0069] c) Automatically collecting weight and performance data for further processing and analytics.
[0070] 5) Moving assembled serving to the release area or area for further processing.
[0071] Data processing device and digital weigh scale may be connected with hardwired connection, wireless connection, or embedded into a single unit comprising system System-on-a-Chip (SoC); depending on the optimal installation requirements.
[0072] Data processing device and digital weigh scale system architecture allow for multiple installation methods to accommodate various food serving equipment and processes that are used in the restaurant environment as well as for material dispensing in commercial/industrial applications. For example, they may be temporarily attached to the preparation equipment (e.g. with magnets, clamps) to allow portability and easy cleaning, permanently affixed to the surface of such equipment, embedded into the equipment itself, or situated nearby apportioning equipment or serving area.
[0073] Power for data processing device and digital weigh scale may be provided with mains power source, battery with or without rechargeable power source, and/or solar panel that may collect light from the existing lighting/heating sources. The preferred data processing device may exchange data with the cloud data & analytics platform with a wired or wireless connection. The preferred digital weigh scale is designed to accommodate various container shapes and sizes so it is applicable for any food product (e.g. French fries, pizza, onion rings, etc.) or material. Weight measurement from the load sensor will typically drift with change in ambient temperature. It is typical for restaurant kitchen and commercial/industrial environments to experience high temperatures, so digital weigh scale may utilize embedded temperature sensing functionality to automatically compensate and correct such drift. In order to improve the weight measurement accuracy of the digital weigh scale that drifts over time, the system may automatically or manually initiate a calibration process, that may involve placement of any known weight (e.g. food serving packaging) on the weigh scale and running a self-calibration routine. In order to improve the performance of food serving weight measurements and to minimize required interactions with operators, the digital weigh scale may automatically tare the weight reading, may automatically adjust zero drift, and may automatically detect when and what container is placed on the scale or removed from it.
[0074] To further improve interactions with operators and maximize technology adoption level, yield improvement system has additional visual and audio notification components (LCD Display, Tablet, All-in-one PC, Wireless Speaker, etc.) that may generate sounds, voice commands and/or messages to interact with operators and improve their performance (e.g. filling accuracy, performance metrics, alarm notifications, messages and video/audio calls from management, video training, etc.). It should be further noted, that system visual/audio notification components and voice commands could be additionally used to improve operator performance related to all other systems in the store/facility (e.g. commands to turn off/on equipment at specific times, change equipment operation modes, reminders and instructions to improve regular routines/processes, assistance with order processing, messages to boost team/operator morale and productivity, training, etc.). Such sounds, messages and/or voice commands may be generated with local data processing at the use site or with data processing occurring in the cloud data and analytics platform (e.g. with AI-driven functionality).
[0075] To allow complete visibility of the food serving assembly and material dispensing process and generate corrective actions for performance improvement, data in the cloud data and analytical platform may be accessible via a web portal, mobile app, locally through visual and audio notification components or external data system through API integration. Cloud data and analytics platform may analyze data to automatically calculate yield, served portions, calorie count of each individual food serving, and other associated metrics/benefits.
[0076] The disclosed system is unique when compared with other conventional systems because it provides:
[0077] (1) automatic detection of the serving container size;
[0078] (2) automatic calibration using serving container as a calibration weight;
[0079] (3) automatic compensation for the load sensor zero drift with embedded temperature sensing;
[0080] (4) magnetic grip of the serving container holder, making it easily detachable to avoid potential breakage or damage, and allow ease of cleaning;
[0081] (5) fully customizable audio and/or visual indications (including voice commands) embedded in the yield improvement system that can deliver information generated by the cloud data and analytical platform;
[0082] (6) automatic collection of the serving apportionment performance data with its further processing in the cloud data and analytics platform; and
[0083] (7) holders for serving containers could have uniquely customized designs to accommodate variety of containers to help prevent expending and/or holding more product than specified.
[0084] Similarly, the associated method is unique when compared to other conventional systems in that it (1) does not interfere with existing serving assembly processes and procedures; and (2) automatically collects telemetry data during such processes.
[0085] The disclosed system is superior to conventional systems because collection and further processing of digital weigh scale data in the cloud data and analytical platform allows for aggregating massive amounts of very detailed serving apportionment data. Such data when processed and analyzed with proprietary smart software algorithms, self-learning data models, and AI-processing engines can improve product yield and provide complete visibility of the serving operations on a large and expandable scale. It can also significantly improve technology adoption level by automatically interacting with system operators through data platform driven visual and audio notification components.
[0086] The apparatus of the invention comprises a yield improvement system adapted to weigh an object. The preferred yield improvement system comprises a weighing device having a holder that is adapted to removably receive the object to be weighed and a load sensor that is adapted to determine the weight of the object to be weighed. The preferred yield system also comprises a programmable logic controller that is in electrical communication with the weighing device, a cloud platform that is in electrical communication with the programmable logic controller, and an application program interface (API) that is in electrical communication with the cloud platform, and a means for removably attaching the weighing device to an anchoring device.
[0087] The preferred system further comprises a solar energy generation source that is operatively connected to the programmable logic controller, a notification device that provides an audio notification and/or a video notification and has a display. In the preferred system, the means for removably attaching the weighing device to the item of equipment comprises an extendable tube, the holder comprises a magnet and/or a holder spacer, the weighing device comprises a weighing device spacer and/or a microcontroller unit (MCU), and the microcontroller unit (MCU) comprises a speaker.
[0088] The method of the invention comprises providing a yield improvement system adapted to weigh an object. The preferred yield improvement system comprises a weighing device having a holder that is adapted to removably receive the object to be weighed and a load sensor that is adapted to determine the weight of the object to be weighed. The preferred yield system also comprises a programmable logic controller that is in electrical communication with the weighing device, a cloud platform that is in electrical communication with the programmable logic controller, and an application program interface (API) that is in electrical communication with the cloud platform, and a means for removably attaching the weighing device to an anchoring device. The preferred method also comprises weighing the object. The preferred method further comprises providing notification that the yield improvement system is ready to receive a container, providing notification that the yield improvement system has detected the size of the container, providing notification that the container is under-filled, providing notification that the container is over-filled, and providing notification that the container is properly filled.
[0089] In operation, several advantages of the preferred embodiments of the yield improvement system are achieved. For example, the preferred embodiments of the system significantly improve filling accuracy. In food dispensing application the system eliminated recurring overfill of food portions, resulting in ˜30% reduction in food product usage and generating average monthly food cost savings of 500 US dollars. Visual quality of assembled food serving also improved, due to more consistent and accurate distribution of food within the serving container. Embedded voice command functionality alerted and instructed restaurant operators how to optimize usage of electric cooking equipment thereby resulting in ˜20% reductions in daily power usage, leading to average monthly electricity cost savings of 700 US dollars. Intuitiveness and high automation of the system serves to train restaurant system operators in less than 5 minutes. Training and support functions embedded in the system utilize its audio/video capability to train operators from multiple (unlimited) stores during the same virtual training session. Utilization of cloud data and analytics platform provides for 100% visibility into all aspects of the system usage and generated benefits. Voice command functionality embedded in the system provides automatic control of system usage rate and improvement of other store operations by verbally interacting with store operators, monitoring operator's consistent use of system, and realizing additional savings from operations improvement.
[0090] The disclosed system is superior to other systems because collection and further processing of digital weigh scale data in the cloud data and analytical platform allows for aggregating massive amounts of very detailed serving and materials apportionment data. Such data when processed and analyzed with proprietary smart software algorithms, self-learning data models, and AI-processing engines can improve product yield and provide complete visibility of the serving and materials processing operations on a large and expandable scale. It can also significantly improve technology adoption level by automatically interacting with system operators through data platform driven visual and audio notification components.
[0091] Different features, variations and multiple different embodiments have been shown and described with various details. What has been described in this application at times in terms of specific embodiments is done for illustrative purposes only and without the intent to limit or suggest that what has been conceived is only one particular embodiment or specific embodiments. It is to be understood that this disclosure is not limited to any single specific embodiments or enumerated variations. Many modifications, variations and other embodiments will come to mind of those skilled in the art, and which are intended to be and are in fact covered by this disclosure. It is indeed intended that the scope of this disclosure should be determined by a proper legal interpretation and construction of the disclosure, including equivalents, as understood by those of skill in the art relying upon the complete disclosure present at the time of filing.
[0092] This disclosure provides a detailed and specific description with the accompanying drawings. The drawings and specific descriptions of the drawings, as well as any specific or alternative embodiments discussed, are intended to be read in conjunction with the entirety of this disclosure. The system may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein; rather, these embodiments are provided by way of illustration only and so that this disclosure will be thorough, complete, and fully convey understanding to those skilled in the art.
[0093] Although this description contains many specifics, these should not be construed as limiting the scope of the invention but as merely providing illustrations of some of the presently preferred embodiments thereof, as well as the best mode contemplated by the inventors of carrying out the invention. The invention, as described herein, is susceptible to various modifications and adaptations, and the same are intended to be comprehended within the meaning and range of equivalents of the appended claims.