TWM590944U - Wearable electronic device with machine hitch analysis and voice wake-up function - Google Patents

Abstract

The present invention mainly proposes a wearable electronic device with machine lesion analysis and voice wake-up functions, which includes: a processor unit, a historical database, a lesion analysis unit, a display unit, and a voice wake-up unit. When an abnormality or malfunction occurs on a machine, the processor unit can receive a machine condition data from a sensor of the machine through a machine condition collection unit. Further, after the processor unit receives the machine condition data through the machine condition collection unit, the lesion analysis unit can find out the corresponding machine abnormality reason and the corresponding machine abnormality from the historical database according to the machine condition data Machine maintenance records, which in turn produce at least one machine troubleshooting solution. According to the design of the present invention, the field engineer can activate the wearable device in standby through the voice wake-up unit, and then in the case of wearing the wearable device, according to the instructions of the machine troubleshooting solution, quickly and accurately complete the The troubleshooting of the machine does not require time to find the cause of the machine.

Description

Wearable electronic device with machine focus analysis and voice wake-up function

The present invention relates to the technical field of applying artificial intelligence to machine maintenance, especially a wearable electronic device with machine lesion analysis and voice wake-up functions.

Traditionally, a process machine or an automation machine usually has only a few simple operation buttons. However, as technology becomes more advanced, high-tech machines will be equipped with electronic control panels, which will make their operation complicated. Therefore, online operators must read the relevant machine manual and pass the qualification before they can become the operator of the machine. For these high-tech machines equipped with electronic control panels, troubleshooting and/or machine maintenance has become increasingly difficult. When the machine issues a fault notification, the operator will notify the engineer and allow the engineer to troubleshoot. However, since the high-tech machine usually has both a mechanical structure and an electronic control circuit, the engineer must refer to the corresponding machine maintenance guide to be able to complete troubleshooting according to the right conditions. Practical experience shows that the number of pages of machine maintenance guides is very large, resulting in engineers having to spend a lot of time to consult the machine maintenance guides, so they cannot find the best solution for troubleshooting when they are urgently needed, resulting in delays in machine maintenance . Even more serious, when the engineer has not found the correct solution, he will change the machine settings or replace the machine parts at will, causing irreversible serious consequences.

Therefore, if the younger engineer still cannot find the best troubleshooting solution after spending a lot of time consulting the machine maintenance guide, he usually uses an instant messaging device to report the situation on site to the senior engineer at the head office. In this way, senior engineers can judge based on the immediate situation on site The cause of the failure of the machine, and then provide the best troubleshooting solution to the junior engineers located on the site. On the other hand, some equipment manufacturers have adopted the method of making troubleshooting SOP manuals to enable on-site engineers to analyze and eliminate the causes of faults on machines that issue abnormal or fault warnings based on the content contained in the troubleshooting SOP manuals.

The above two methods are helpful for the on-site engineers to complete the analysis and elimination of the machine's failure in a short time. However, these two methods still have their own practical application defects. As far as the former method is concerned, once a senior engineer of the head office requests leave or resigns, even if the on-site engineer returns the status of the site to the head office through the instant messaging device, it still does not help the on-site engineer to find the best Troubleshooting solutions. In terms of the latter method, follow the troubleshooting SOP manual to check and confirm the cause of the machine's failure one by one, and in the end, the failed machine can be repaired. However, it must be noted that the entire inspection and confirmation process still takes a lot of time. In addition, some unknown causes of failures are usually caused by machine assembly defects or parts defects. These unknown causes of failures are not recorded in the general troubleshooting SOP manual, resulting in the failure of field engineers to complete machine failures. Cause analysis and elimination.

It can be seen from the above description that it is necessary to redesign and develop a device or system that helps the on-site maintenance engineer to analyze and eliminate the cause of the machine's failure in a short time. In view of this, the creator of this case worked hard to study, and finally developed a new type of wearable electronic device with machine lesion analysis and voice wake-up function.

The main purpose of the present invention is to provide a wearable electronic device with machine focus analysis and voice wake-up functions, which includes: a processor unit, a historical database, a focus analysis unit, a display unit, and a voice wake-up unit . When an abnormality or malfunction occurs on a machine, the processor unit can receive a machine condition data from a sensor of the machine through a machine condition collection unit. Further, in After the processor unit receives the machine condition data through the machine condition collection unit, the lesion analysis unit can find the corresponding machine abnormality cause and the corresponding machine maintenance record from the historical database according to the machine condition data , And then generate at least one machine troubleshooting solution. According to the design of the present invention, the field engineer can activate the wearable device in standby through the voice wake-up unit, and then in the case of wearing the wearable device, according to the instructions of the machine troubleshooting solution, quickly and accurately complete the The troubleshooting of the machine does not require time to find the cause of the machine.

To achieve the above objective, the present invention proposes an embodiment of the wearable electronic device with machine lesion analysis and voice wake-up function, which is used for a user to wear on the body, and includes: a processor unit, used To collect machine status data of at least one machine through a machine condition collection unit; a historical database, coupled to the processor unit, and storing a plurality of machine abnormalities, corresponding to the plurality of machine abnormalities The abnormal causes of the plural machines and the maintenance records of the plural pen machines corresponding to the abnormal causes of the plural machines; a lesion analysis unit, which is coupled to the historical database and the processor unit; and a display unit, which is coupled to the A processor unit; and a voice wake-up unit coupled to the processor unit; wherein, after the voice wake-up unit receives a voice wake-up signal transmitted from the user, the wearable device switches from a standby state to a Normal working state; wherein, the processor unit receives the machine condition data through the machine condition collection unit, so that the lesion analysis unit finds the corresponding machine abnormality reason from the historical database according to the machine condition data Corresponding to the machine maintenance record, at least one machine troubleshooting solution is generated and displayed on the display unit in a mixed reality (Mixed Reality) manner.

In the aforementioned embodiment of the novel wearable electronic device with machine lesion analysis and voice wake-up function, the machine has a plurality of sensors for detecting the condition of the machine through wired transmission or wireless transmission The data is sent to the condition collection unit.

In the aforementioned embodiment of the wearable electronic device with machine focus analysis and voice wake-up function of the present invention, the condition collection unit may be any one of the following: a sensing data receiving module, an image capturing unit, a sound capturing Take the unit, or photographic device.

In the aforementioned embodiment of the wearable electronic device with machine lesion analysis and voice wake-up function of the present invention, the machine troubleshooting solution includes: the plurality of machine abnormalities arranged in sequence according to the occurrence probability and corresponding to The maintenance records of the plural pen machines for the abnormal reasons of the plural machines.

In a feasible embodiment, the wearable electronic device of the present invention with machine lesion analysis and voice wake-up function further includes: a feedback unit coupled to the processor unit, so that the user can complete each machine After a troubleshooting process, a correct cause of machine failure can be returned to the processor unit through the feedback unit.

In a feasible embodiment, the wearable electronic device of the present invention with machine lesion analysis and voice wake-up function further includes: a self-learning unit coupling the processor unit and the historical database; wherein, in the processor After the unit receives the correct machine failure cause, the self-learning unit reorganizes the abnormalities of the plural machines stored in the historical database, the abnormal causes of the plural machines and the maintenance of the plural pen machines Record.

<this new model>

1‧‧‧ Wearable electronic device with machine focus analysis and voice wake-up function

2‧‧‧User

3‧‧‧machine

31‧‧‧Sensor

10‧‧‧ processor unit

11‧‧‧ condition collection unit

12‧‧‧Historical database

13‧‧‧Focus analysis unit

14‧‧‧Display unit

15‧‧‧Voice wake-up unit

16‧‧‧Feedback unit

17‧‧‧Self-learning module

18‧‧‧Communication unit

FIG. 1 shows the architecture diagram of a wearable electronic device with machine focus analysis and voice wake-up function of the present invention; FIG. 2 shows the first functional block of the wearable electronic device with machine focus analysis and voice wake-up function of the present invention Figure; Figure 3A shows a perspective view of one possible embodiment of the wearable electronic device of the present invention with machine focus analysis and voice wake-up function; FIG. 3B shows a perspective view of another feasible embodiment of the wearable electronic device with machine focus analysis and voice wake-up function; and FIG. 4 shows a wearable electronic device with machine focus analysis and voice wake-up function. The second functional block diagram.

In order to be able to more clearly describe a wearable electronic device provided by the present invention with machine lesion analysis and voice wake-up functions, the following will explain in detail the preferred embodiments of the present invention in conjunction with the drawings.

FIG. 1 shows an architecture diagram of a wearable electronic device with machine focus analysis and voice wake-up function of the present invention, and FIG. 2 shows a first function of the wearable electronic device with machine focus analysis and voice wake-up function of the present invention Block diagram. As shown in FIG. 1 and FIG. 2, the wearable electronic device 1 (hereinafter referred to as “wearable device 1”) with machine lesion analysis and voice wake-up function of the present invention is for a user 2 to wear on it And mainly includes: a processor unit 10, a historical database 12, a lesion analysis unit 13, a display unit 14, and a voice wake-up unit 15. In an embodiment, the processor unit 10 collects machine status data of at least one machine 3 through a machine condition collection unit 11. On the other hand, the history database 12 is coupled to the processor unit 10, and stores plural machine abnormalities, plural machine abnormalities corresponding to the plural machine abnormalities, and the plural types Multiple machine maintenance records for abnormal machine causes.

In particular, FIG. 1 shows that the wearable device 1 is a mixed reality (MR) helmet, but it is not intended to limit the feasible embodiment of the wearable device 1. 3A shows a perspective view of a possible embodiment of the wearable device 1 of the present invention, and FIG. 3B shows a perspective view of another possible embodiment of the wearable device 1 of the present invention. As shown in FIG. 3A, in a feasible embodiment, the wearable device 1 may also be A set of smart glasses. Moreover, in another feasible embodiment, the wearable device 1 may also be a Scouter detector as shown in FIG. 3B.

Generally, the machine 3 used in a process or an automated production line is equipped with a plurality of sensors 31 and an alarm unit. According to the design of the present invention, when the sensor 31 detects a failure of the specific machine 3, it will first notify the warning unit to issue a warning light or message. Therefore, in the wearable device 1 of the present invention, the processor unit 10 receives the machine status data transmitted from the sensor 31 through the wire condition collection unit 101 through wired transmission or wireless transmission. The machine condition data referred to here includes: general abnormal conditions and/or emergency abnormal conditions related to the machine 3.

On the other hand, as shown in FIG. 2, the lesion analysis unit 13 is coupled to the history database 12 and the processor unit 10, the display unit 14 is coupled to the processor unit 10, and the voice wake-up unit 15 is coupled to the Processor unit 10. When an abnormality or malfunction occurs on the machine 3, the user 2 (ie, the field engineer) can provide a voice wake-up signal to the wearable device 1. Moreover, after the voice wake-up unit 15 receives the voice wake-up signal transmitted from the user 2, the wearable device 1 switches from a standby state to a normal working state. After that, the processor unit 10 receives the machine condition data through the machine condition collection unit 11, so that the lesion analysis unit 13 finds out the corresponding machine abnormality reason from the historical database 12 according to the machine condition data Corresponding to the machine maintenance record, at least one machine troubleshooting solution is generated and displayed on the display unit 14 in a mixed reality (Mixed Reality) manner.

According to the design of the present invention, the troubleshooting solution of the machine includes: a plurality of machine abnormalities arranged in sequence according to the occurrence probability and a plurality of pen machine maintenance records corresponding to the plurality of machine abnormalities. With this design, the user 2 (ie, field engineer) wearing the wearable device 1 can quickly and accurately complete the specific machine 3 under the instruction of the machine troubleshooting solution displayed on the display unit 14 For troubleshooting, you don't need to spend time to find the cause of the failure of machine 3. For example, in the case where the machine 3 with the number A fails, the machine maintenance step indicated by the field troubleshooting solution that the field engineer sees through the wearable device 1 is A B C. In contrast, when the number B When the machine 3 fails, the machine maintenance procedure indicated by the on-site machine troubleshooting solution known by the field engineer through the wearable device 1 is B C D. Simply put, according to different machines 3, the machine tool troubleshooting solution generated by the lesion analysis unit 13 based on historical data does not have the same maintenance steps. In this way, not only can the overall time for repairing the machine be greatly shortened, but at the same time, it can prevent the field engineer from changing the machine settings or replacing the machine parts arbitrarily without finding a correct solution.

It is added that the foregoing description describes that the machine 3 has a sensor 31, and the sensor 31 transmits the machine condition data to the condition collection of the wearable device 1 through wired transmission or wireless transmission. Unit 11 means that the condition collection unit 11 is a sensing data receiving module. Of course, in a feasible embodiment, the condition collecting unit 11 may also be a sensor control device for controlling each of the sensors 31, and for sensing signals transmitted by the sensors 31 Be managed. However, in some cases, the field engineer (ie, user 2) may still be unable to successfully complete the troubleshooting (or abnormality) of the machine 3 while following the machine troubleshooting solution. At this time, the user 2 can also use the image capturing unit, the sound capturing unit, or the photographing device of the wearable device 1 itself to cooperate with the communication unit 18 to directly report the on-site status to a processing and control device, for example: central control system. In this way, the senior engineer located in the head office can determine the cause of the machine failure according to the immediate situation on the spot, and then provide the best troubleshooting solution to the engineer located on the site.

As shown in FIG. 2, the wearable device 1 further includes a feedback unit 16, a self-learning unit 17, and a communication unit 18; wherein, the feedback unit 16 is coupled to the processor unit 10, and the self-learning unit 17 is coupled to the processor The unit 10 and the historical database 12 and the communication unit 18 are coupled to the processor unit 10. After the field engineer completes the troubleshooting (or abnormality) of the machine 3 according to the best troubleshooting solution provided by the senior engineer at the head office, the field engineer (ie, user 2) can also communicate with the feedback unit 16 The communication unit 18 returns the correct cause of the machine failure and the corresponding troubleshooting method to the back-end or remote processing and control device (for example: located in the central control system of the head office). At the same time, the feedback unit 16 will also return the correct cause of the machine failure to the processor unit 10 of the wearable device 1. At the reception After describing the correct cause of the machine failure and the corresponding troubleshooting method, the self-learning unit 17 of the wearable device 1 rearranges the plurality of machine abnormalities and the plurality of machine types stored in the history database 12 The abnormal cause of the machine and the multiple machine maintenance records are used to facilitate the lesion analysis unit 13 to quickly and accurately generate the best machine troubleshooting solution based on historical data.

Generally, the lesion analysis unit 13 and the self-learning unit 17 can be edited into at least one application program in the form of a function library, variable, or operand, and then built into the wearable device 1. In this way, the wearable device 1 may not be limited to a mixed reality (MR) helmet, but may also be smart glasses or a Scouter detector. Even, it can be any electronic device with mixed reality (MR) function.

It is worth noting that in the field engineer (ie, user 2) wearing the new wearable device 1 to perform the machine troubleshooting process, if the entire troubleshooting process takes a long time, the wearable device 1 There may be doubts about excessive power consumption. Therefore, the present invention specifically adds a voice wake-up unit 15 to the wearable device 1 to allow the user 2 to wake up the wearable device 1 by voice only when necessary, to help him analyze the cause of the machine failure and Then perform troubleshooting of the machine.

Further, FIG. 4 shows a second functional block diagram of the wearable electronic device of the present invention with machine focus analysis and voice wake-up function. Comparing FIG. 2 and FIG. 4 can be easily illustrated. In a feasible embodiment, the condition collection unit 11 can also be directly integrated into the wearable electronic device 1 with machine lesion analysis and voice wake-up functions. To put it simply, after the machine condition collection unit 11 is integrated, the wearable electronic device 1 with machine lesion analysis and voice wake-up function can directly receive the sensing signal from the sensor 31 of the machine 3 (machine Status information).

In this way, the above is a complete and clear description of a wearable electronic device of the present invention with machine focus analysis and voice wake-up function. It must be emphasized that what was revealed in the foregoing case is In the preferred embodiment, if any partial changes or modifications are derived from the technical idea of the case and are easily inferred by those skilled in the art, they will not deviate from the scope of patent rights in the case.

1‧‧‧ Wearable electronic device with machine focus analysis and voice wake-up function

11‧‧‧ condition collection unit

2‧‧‧User

3‧‧‧machine

Claims (10)

A wearable electronic device with machine focus analysis and voice wake-up function for a user to wear on it, and includes: a processor unit for collecting one of at least one machine through a machine condition collecting unit Machine status data; a historical database, coupled to the processor unit, and storing a plurality of machine abnormalities, a plurality of machine abnormalities corresponding to the plurality of machine abnormalities, and the plurality of machine types Multiple maintenance records of machine abnormalities; a lesion analysis unit, coupled to the historical database and the processor unit; a display unit, coupled to the processor unit; and a voice wake-up unit, coupled to the processing Unit; wherein, after the voice wake-up unit receives a voice wake-up signal transmitted from the user, the wearable device switches from a standby state to a normal working state; wherein, the processor unit passes the condition The collection unit receives the machine status data, so that the lesion analysis unit finds out the corresponding cause of the machine abnormality and the corresponding machine maintenance record from the historical database according to the machine status data, to generate at least A machine troubleshooting solution is displayed on the display unit in a mixed reality (Mixed Reality) manner. A wearable electronic device with machine lesion analysis and voice wake-up function as described in item 1 of the patent application scope, wherein the machine has a plurality of sensors to use wired or wireless transmission The machine condition data is sent to the machine condition collection unit. The wearable electronic device with machine lesion analysis and voice wake-up function as described in item 1 of the patent scope, wherein the condition collection unit can be any of the following: sensing data receiving module, image capturing unit , Sound capture unit, or photographic device. The wearable electronic device with machine focus analysis and voice wake-up function as described in item 1 of the patent scope, wherein the plurality of machine abnormalities include at least one normal abnormality and at least one emergency abnormality. The wearable electronic device with machine focus analysis and voice wake-up function as described in item 1 of the patent application scope, wherein the machine troubleshooting solution includes a plurality of machine abnormalities arranged in sequence according to the occurrence probability and corresponding The multiple maintenance records due to the abnormality of the multiple machines. The wearable electronic device with machine focus analysis and voice wake-up function as described in item 1 of the patent application scope further includes: a feedback unit coupled to the processor unit, so that the user completes each machine After one of the troubleshooting processes, the correct cause of the machine failure can be returned to the processor unit through the feedback unit. The wearable electronic device with machine focus analysis and voice wake-up function as described in item 6 of the patent scope further includes: a self-learning unit coupling the processor unit and the historical database; wherein, in the process After the machine unit receives the correct machine failure cause, the self-learning unit rearranges the abnormalities of the plural machines stored in the historical database, the abnormal causes of the plural machines, and the plural pen machines Maintenance records. A wearable electronic device with machine focus analysis and voice wake-up function as described in item 7 of the patent application scope, wherein the focus analysis unit and the self-learning unit are used in the form of function libraries, variables or operands Edited as at least one application, and then built in the wearable device. The wearable electronic device with machine lesion analysis and voice wake-up functions as described in item 7 of the patent application scope further includes: a communication unit coupled to the processor unit for communicating with a central control system. The wearable electronic device with machine focus analysis and voice wake-up function as described in item 8 of the patent application scope, wherein the communication unit is a wired communication unit or a wireless communication unit.

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