WO2017105183A1 - Augmented reality display system for predicting faults - Google Patents

Abstract

The invention relates to an augmented reality display system for predicting faults, consisting of a database that stores the fault history and statistics of machines installed in different geographical locations, each machine having a wireless communications module via which the operation data is sent to a central data processing unit which updates the database and the statistics, which detects when a part in a machine is about to fail, based on the statistics generated by same, notifying the technical personnel via their assigned mobile data device, and notifying the spare parts memory for delivery of spare parts and supplies required to update the stocks. The object of the invention is to provide a predictive maintenance system that permits the prevention of faults in machines distributed at geographical distances, reducing the maintenance costs and increasing the time that each machine is in use.

Description

 VISUALIZATION SYSTEM FOR INCREASED PREDICTION REALITY

 OF FAILURES

TECHNICAL FIELD

The technical field of the present invention is electrical and mechanical, given that it is a system that allows a failure to be determined in advance by a system based on mobile data devices.

BACKGROUND OF THE INVENTION

In convenience stores, restaurants, hotels, hospitals, and other places there are often machines that dispense drinks such as coffee, cappuccinos, tea, frappe, snow and others. Such equipment requires constant monitoring of technical personnel that prevents any size by stopping selling the product. This activity of the staff usually becomes more expensive as the coverage increases and its efficiency is doubtful since it is not always necessary to have a review made, and thus failures are not necessarily avoided. These machines usually have both electrical and mechanical elements that suffer wear and tear due to their operation, which is usually estimated in relation to time and not to the frequency of operation, translating it into preventive maintenance schemes with fixed periodicity. There are methods of prediction of failures through thermographic observation and analysis of vibrations that give very good results, however given its high cost it is unfeasible to implement them in a scheme where the equipment is in thousands of amounts for each population. Other systems have the focus of equipment distributed in a single location within an industrial warehouse, as is the case of the patent with registration number US20130063487A1 entitled "Method and system of using augmentad realHy fbr applications" is a system that superimposes images of a object and a scene according to what is being observed according to a certain place, with applications for online commerce. US20140231523A1 with title: "Electronic device capable of recognizing object" describes a method and a portable terminal device for recognizing objects in an image capable of detecting patterns and reading bar codes. The present invention consists of a system that allows to determine before a machine which parts must be changed based on prediction of failures by analysis statistically using a mobile data device with a link to a wireless data network where you can check the updated information about the machine you are analyzing.

DESCRIPTION OF THE INVENTION

The characteristic details of this new Visualization System by Augmented Reality of Failure Prediction, are clearly shown in the following description and in the accompanying drawings, following the same reference signs to indicate the parts and figures shown. These figures are briefly described.

BRIEF DESCRIPTION OF FIGURES

Figure 1 is an overview of the system components and their data and information flow connections.

DETAILED DESCRIPTION OF THE INVENTION

With reference to these figures, the Visualization System by Augmented Reality of Failure Prediction is composed of

 1. Mobile data device

 2. Central data processing equipment

 3. Integrated digital camera

 4. Database

 5. Machine

 6. Wireless communication module

 7. Barcode

The operation of the Augmented Reality Failure Display System is as follows: Centrally, the central data processing equipment (2) has a database (4) on the installed equipment, its location, serial number, assigned barcode (7), description, list of spare parts, list of supplies for maintenance, maintenance manuals, operation manuals, its history of faults, repairs and spare parts that have been changed, statistics of failures of each refection used that includes its durability in time and frequency of use. Each machine (5) has a wireless communication module (6) that sends the measurements of the operation of the internal parts of the machine (5), such as the number of times each part has been turned on, or that the user has powered them, the temperatures of operation to which it has been subjected, the times it has exceeded critical temperatures, the records of overvoltages and overcurrents that have happened; said information is sent to the central data processing equipment (2) with a frequency predetermined by the system operator. When a fault occurs, the technical staff attends the report and captures on their mobile data device (1) the type of repair, spare parts and supplies used to then be sent by the wireless data network to the central data processing team (2) updating your records in the database (4). If the downloading of data using the wireless communication module (6) of the machine (5) to the central data processing equipment (2) cannot be performed due to lack of access to the wireless data network 0. the data is sent to the mobile data team that the technical staff brings with them when they are close to the machine (5) either due to a visit to failures or preventive maintenance using a dedicated wireless link that is established when both teams detect their signals. identification and technical personnel activate said link; Once the data resides in the mobile data device (1) when entering an area with wireless data network service, they are transferred to the central data processing equipment (2). Each time a machine (5) drains information to the central data processing equipment (2), it checks each parameter to define if any of these parts falls within the statistical durability range and if so, generates a warning of report that includes the code of the equipment, its geographical location, the list of spare parts that must be changed, the list of inputs to be used and the basic instructions of the procedure to be performed, said message is transmitted to the mobile data equipment assigned to the staff corresponding technician and the spare parts store that attends to deliver the spare parts and supplies before leaving to the place where the machine is located (5). The technical staff receives the warning message on their mobile data device (1) where they indicate that they must pick up the spare parts and supplies package from the spare parts store and go to the geographical location point that is included in the message, once located in that place, the technical staff executes a routine in their mobile data device (1) that activates the integrated digital camera (3) with which it obtains the image of the bath code (7) of the machine (5). snubbing it and showing you the steps to follow for the maintenance process. By the end, The technician closes the report by capturing the work done on the mobile data device (1), which is sent to the central data processing team (2) that uses it to update the database (4) and the statistical information.

Claims

CLAIMS Having sufficiently described my invention, I consider as a novelty and therefore claim as my exclusive property, what is contained in the following clauses: 1. An Augmented Reality Fault Prediction System characterized in that it is composed of  a) Mobile data device  b) Central data processing equipment  c) Integrated digital camera  d) Database  e) Machine  f) Wireless communication module  g) Bar code  2. An Augmented Reality Fault Prediction System as in claim 1 characterized in that initially the central data processing equipment has a database on the installed equipment, its location, serial number, barcode assigned, description, list of spare parts, list of supplies for maintenance, maintenance manuals, operation manuals, its history of faults, repairs and spare parts that have been changed, statistics of failures of each part used that includes its durability in time and frequency of use. 3. An Augmented Reality Fact Prediction System as claimed in claim 2 characterized in that each machine has a wireless communication module that sends the measurements of the operation of the internal parts of the machine, such as the number of times that each part has been turned on, or that the user has activated them, the operating temperatures to which it has been subjected, the times that it has exceeded critical temperatures, the records of overvoltages and overcurrents that have happened; said information is sent to the central data processing equipment with a predetermined frequency by the system operator. 4. An Augmented Reality Fault Prediction System as in claim 2 characterized in that when a fault occurs, the technical staff attends the report and captures the type of repair, spare parts and supplies on their mobile data device. used to then be sent by the wireless data network to the central data processing team updating their records in the database.  5. An Augmented Reality Display System for Failure Prediction as in claim 2 characterized in that if the downloading of data using the wireless communication module of the machine to the central data processing equipment cannot be performed by not having Access to the wireless data network The data is sent to the mobile data team that the technical staff brings with them when they are close to the machine, whether due to a size visit or preventive maintenance using a dedicated wireless link that is established when both teams detect their identification signals and the technical staff activates said link; because once the data resides on the mobile data device when entering an area with wireless data network service they are transferred to the central data processing equipment.  6. An Augmented Reality Fault Prediction Display System as in claim 2 characterized in that each time a machine drains information to the central data equipment, it checks each parameter to define if any of the parts falls within the Statistical margin of durability and if so, generates a report notice that includes the code of the equipment, its geographical location, the list of refections that must be changed, the State of inputs to be used and the basic instructions of the procedure to be performed , 7. An Augmented Reality Failure Visualization System as in claim 6 characterized in that said message is transmitted to the mobile data equipment assigned to the corresponding technical personnel and to the spare parts store that attends it so that it can be delivered Refections and supplies before leaving to the place where the machine is located 8. An Augmented Reality Display System for Failure Prediction as in claim 2 characterized in that the technical staff receives the warning message on their mobile data device where they indicate that they must pick up the spare parts and supplies package from the warehouse spare parts and go to the geographical location point that is included in the report message  9. An Augmented Reality Display System for Failure Prediction as in claim 2 characterized in that once the technical personnel is located in front of the machine, the technical personnel executes a routine in their mobile data device that activates the Integrated digital camera with which you get the image of the machine's barcode, deciphering it and showing you the steps to follow for the maintenance process.  10. An Augmented Reality Display System for Failure Prediction as in claim 2 characterized in that at the end of the maintenance procedure the technician closes the report capturing the work done on the mobile data device, which is sent to the equipment Central data processing that uHtza to update the database and statistical information.