Manufacturing environment data management device and method and intelligent automation equipment system

Abstract

The invention provides a manufacturing environment data management device, a manufacturing environment data management method and an intelligent automation equipment system, which can have different operation modes at different use opportunities. Further, in a machine learning mode, the manufacturing environment data management device is written into an interpretation model through execution of a feature extraction algorithm, so that in a monitoring mode, the manufacturing environment data management device does not use all detection data to interpret whether the automation equipment is normal or abnormal, and the reliability of the manufacturing environment data management device is improved. Instead, the plurality of core detection data in all the detection data are used for judging whether the automation equipment is normal or abnormal through the judgment model, so that the method can be suitable for a situation in which the automation equipment which runs for a long time needs to be monitored.

Description

Technical Field

[0001] The present invention relates to a manufacturing environment data management technology for automated equipment, and in particular to a manufacturing environment data management device, method and intelligent automated equipment system that can have different operation modes at different time points and can determine whether the automated equipment is normal or abnormal by monitoring only core detection data. Background Art

[0002] Taiwan Patent Publication No. I 782539 provides a method and system for intelligent processing. The technical solution of the method and system for intelligent processing proposed in the patent can measure the size of defects and calculate the best result of adjusting the processing parameters according to the defect size and processing parameters. However, the above technical solution only uses the image recognition system to judge the position and defects, and the feedback correction of the processing parameters through image judgment can only be corrected by two-dimensional plane data, so the detection accuracy is still insufficient.

[0003] Furthermore, the above technical solution only uses the image recognition system for detection, without other detectors. Therefore, when the image recognition system cannot operate normally, the intelligent processing system cannot cross-check with other detection data, resulting in the inability to make adjustments. On the other hand, the above technical solution does not provide a method for monitoring long-term automation equipment. In view of this, the industry still needs a technical solution that can integrate multiple detectors to judge the status of automation equipment and monitor long-term automation equipment. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a manufacturing environment data management device, method and intelligent automation equipment system, which can have different operation modes at different usage occasions. Furthermore, in the machine learning mode, the manufacturing environment data management device will be written into the judgment model by executing the feature extraction algorithm. Therefore, in the monitoring mode, the manufacturing environment data management device will not use all the detection data to judge whether the automation equipment is normal or abnormal, but will use the judgment model to use multiple core detection data in all the detection data to judge whether the automation equipment is normal or abnormal, which can be applicable to the situation where the automation equipment that needs to be monitored for a long time needs to be monitored.

[0005] Based on at least one purpose of the present invention, the present invention provides a manufacturing environment data management device, which is installed in an automation device and includes a detection interface, a transmission interface, a manufacturing environment data recording device and a control device. The detection interface signal connects a plurality of detectors, the manufacturing environment data recording device signal connects the detection interface and the transmission interface, and the control device signal connects the detection interface and the transmission interface. The detection interface is used to synchronously receive a group of a plurality of detection data generated by a plurality of detectors detecting a plurality of components and / or processed objects of the automation equipment. The transmission interface is used to synchronously transmit a group of a plurality of detection data to a computing device connected to the transmission interface signal. In the production test mode and the production adjustment mode, the manufacturing environment data recording device is used to record and transmit a group of a plurality of detection data received by the detection interface. In the machine learning mode, the control device is written into the judgment model, and the judgment model is established by the computing device finding a plurality of known core detection data in a plurality of known detection data of a plurality of groups corresponding to a plurality of known normal / abnormal results. In the monitoring mode, the control device uses the judgment model to judge whether the automation equipment is normal or abnormal according to a plurality of core detection data in a group of a plurality of detection data currently received synchronously, and generates a normal / abnormal judgment result.

[0006] Optionally, in some embodiments, the manufacturing environment data management device further includes a plurality of detectors. The plurality of detectors include an image capture device, a distance measuring device, a cross laser detection device, a vibration sensing device, a humidity detection device, a temperature sensing device, and a sound capture device, and a set of a plurality of detection data includes image data, distance data, cross laser alignment data, vibration data, humidity data, temperature data, and sound data.

[0007] Optionally, in some embodiments, the manufacturing environment data management device further includes a plurality of data transmission devices. The plurality of data transmission devices are signal-connected to the transmission interface, and the plurality of data transmission devices include a Wi-Fi communication device, an Ethernet communication device, a Bluetooth communication device, a universal input / output device, a universal serial bus device, and a digital security card device.

[0008] Optionally, in some embodiments, the manufacturing environment data management device further includes a power management device, wherein the power management device signal connects the transmission interface and the control device. The power management device is used to generate a power management signal, the transmission interface is further used to transmit the power management signal to the automation equipment connected to the transmission interface signal, the power management signal is used to manage the power supply of at least a part of the plurality of components of the automation equipment, and the control device is used to receive the power control signal transmitted by the transmission interface to control the power management device to generate the power management signal.

[0009] Optionally, in some embodiments, the manufacturing environment data management device further includes an alarm interface, and the alarm interface signal is connected to the control device. In the monitoring mode, if the control device uses the judgment model to judge that the automation equipment is abnormal according to a set of multiple core detection data, the control device sends a signal to at least one alarm device connected to the alarm interface through the alarm interface to warn.

[0010] Optionally, in some embodiments, the manufacturing environment data management device further includes at least one alarm device, and the at least one alarm device includes a voice alarm device and / or a light alarm device.

[0011] Optionally, in some embodiments, in a machine learning mode, the computing device performs feature extraction to find a plurality of known core detection data from a plurality of known detection data groups corresponding to a plurality of known normal / abnormal results. Then, the computing device establishes a judgment model based on the plurality of known normal / abnormal results and the plurality of known core detection data from the corresponding plurality of groups.

[0012] Optionally, in some embodiments, in a production test mode, a user configures the automation equipment, a manufacturing environment data recording device records and transmits a set of multiple detection data corresponding to the configuration, and provides a set of multiple detection data corresponding to the configuration to the user, and the user determines whether the automation equipment under the configuration passes the test, so that the computing device can obtain normal / abnormal results of the automation equipment under the configuration.

[0013] Optionally, in some embodiments, if the normal / abnormal result of the automated equipment under configuration indicates that the automated equipment is abnormal, the manufacturing environment data management device enters a production adjustment mode, and the user adjusts the automated equipment according to a group of multiple detection data corresponding to the configuration. The manufacturing environment data recording device records and transmits a group of multiple detection data after adjustment, and provides a group of multiple detection data after adjustment to the user. The user determines whether the automated equipment after adjustment has passed the test, so that the computing device can obtain the normal / abnormal result of the automated equipment after adjustment.

[0014] Based on at least one purpose of the present invention, the present invention provides an intelligent automation equipment system, and the intelligent automation equipment system includes the aforementioned manufacturing environment data management device, automation equipment, computing device and database. The database signal is connected to the computing device, and is used to store a group of multiple detection data and corresponding normal / abnormal results, and is used to store a plurality of known normal / abnormal results and a plurality of known detection data of a plurality of groups corresponding to the plurality of known normal / abnormal results.

[0015] Based on at least one purpose of the present invention, the present invention provides a manufacturing environment data management method, comprising the following steps. In the production test mode, the user configures the automation equipment, the manufacturing environment data management device synchronously receives a group of multiple detection data corresponding to the configuration generated by the multiple detectors detecting the multiple components and / or processed objects of the automation equipment, the manufacturing environment data management device records and transmits a group of multiple detection data, and provides a group of multiple detection data to the user, the user determines whether the automation equipment under the configuration passes the test, so that the computing device obtains the normal / abnormal result of the automation equipment under the configuration. If the normal / abnormal result of the automation equipment under the configuration indicates that the automation equipment is abnormal, the manufacturing environment data management device enters the production adjustment mode. In the production adjustment mode, the user adjusts the automation equipment according to the configured group of multiple detection data, the manufacturing environment data management device records and transmits a group of multiple detection data after the adjustment, and provides a group of multiple detection data after the adjustment to the user, the user determines whether the automation equipment after the adjustment passes the test, so that the computing device obtains the normal / abnormal result of the automation equipment after the adjustment. In the machine learning mode, the computing device performs feature extraction to find out the plurality of known core detection data in the plurality of known detection data in the plurality of groups corresponding to the plurality of known normal / abnormal results. Then, the computing device establishes a judgment model based on the plurality of known normal / abnormal results and the plurality of known core detection data in the plurality of groups corresponding to them, and writes the judgment model into the manufacturing environment data management device. In the monitoring mode, the manufacturing environment data management device uses the judgment model to judge whether the automation equipment is normal or abnormal based on the plurality of core detection data in the plurality of detection data in the group currently received synchronously, and generates a normal / abnormal result.

[0016] In summary, the manufacturing environment data management device, method and intelligent automation equipment system provided by the present invention have the function of recording and eliminating abnormal conditions, and can cross-analyze and compare a group of multiple detection data to facilitate users to adjust the machine. In addition, the manufacturing environment data management device will also be written with a judgment model established with multiple known core detection data, so that the manufacturing environment data management device can monitor the automation equipment that runs for a long time in the monitoring mode. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic block diagram of a manufacturing environment data management device according to an embodiment of the present invention.

[0018] Figure 2 It is a schematic block diagram of an intelligent automation equipment system according to an embodiment of the present invention.

[0019] Figure 3It is a schematic flow chart of a plurality of steps of a manufacturing environment data management method executed by a manufacturing environment data management device according to an embodiment of the present invention during production testing and production machine adjustment.

[0020] Figure 4 It is a schematic flow chart of a plurality of steps of a manufacturing environment data management method executed by a manufacturing environment data management device according to an embodiment of the present invention at machine learning timing and monitoring timing.

[0021] Description of the figure number:

[0022] 101: Image Capture Devices

[0023] 102: Distance measuring device

[0024] 103: Cross laser detection device

[0025] 104: Vibration sensing device

[0026] 105: Humidity detection device

[0027] 106: Sound capture device

[0028] 107: Temperature sensing device

[0029] 11: Manufacturing environment data management device

[0030] 111: Detection interface

[0031] 112: Alarm interface

[0032] 113: Transmission interface

[0033] 114: Manufacturing environment data recording device

[0034] 115: Power management device

[0035] 116: Control Device

[0036] 121: Wi-Fi communication device

[0037] 122: Ethernet communication device

[0038] 123: Bluetooth communication device

[0039] 124: General purpose input / output device

[0040] 125: Universal Serial Bus Device

[0041] 126: Digital security card device

[0042] 131: Voice alarm device

[0043] 132: Light warning device

[0044] 2: Automation equipment

[0045] 3: Computing device

[0046] 4: Database

[0047] S201~S205: Steps

[0048] S207~S209: steps. DETAILED DESCRIPTION

[0049] Please refer to Figure 1 and Figure 2 , Figure 1 is a schematic block diagram of a manufacturing environment data management device according to an embodiment of the present invention, and Figure 2 Schematic diagram of the intelligent automation equipment system of the embodiment of the present invention. The present invention mainly provides a manufacturing environment data management device 11, which can be installed in the automation equipment 2, the manufacturing environment data management device 11 can be connected to the computing device 3 by signal, and the computing device 3 can be connected to the database 4 by signal, so that the manufacturing environment data management device 11, the automation equipment 2, the computing device 3 and the database 4 can form an intelligent automation equipment system.

[0050] The manufacturing environment data management device 11 includes a detection interface 111, a transmission interface 113, a manufacturing environment data recording device 114, and a control device 116. The detection interface 111 is connected to a plurality of detectors by signals, the manufacturing environment data recording device 114 is connected to the detection interface 111 and the transmission interface 113 by signals, and the control device 116 is connected to the detection interface 111 and the transmission interface 113 by signals.

[0051] In this embodiment, the plurality of detectors include an image capture device 101, a distance measuring device 102, a cross laser detection device 103, a vibration sensing device 104, a humidity detection device 105, a sound capture device 106, and a temperature sensing device 107. The present invention is not limited thereto. In some embodiments, in addition to the above-mentioned detectors, the plurality of detectors may include other types of detectors. In addition, in some embodiments, the plurality of detectors may be integrated into the manufacturing environment data management device 11, rather than being an external component of the manufacturing environment data management device 11.

[0052] The detection interface 111 is used to synchronously receive a set of multiple detection data generated by a plurality of detectors detecting a plurality of components and / or processed objects of the automation equipment 2, wherein in this embodiment, a set of multiple detection data includes image data, distance data, cross laser alignment data, vibration data, humidity data, sound data and temperature data, and the present invention is not limited thereto. The transmission interface 113 is used to synchronously transmit a set of multiple detection data to the computing device 3 to which the transmission interface 113 is signal-connected.

[0053] The transmission interface 113 can signally connect a plurality of data transmission devices, and in this embodiment, the plurality of data transmission devices include a Wi-Fi communication device 121, an Ethernet communication device 122, a Bluetooth communication device 123, a universal input / output device 124, a universal serial bus device 125, and a digital security card device 126. In addition, in some embodiments, the plurality of data transmission devices can be integrated into the manufacturing environment data management device 11, rather than being an external component of the manufacturing environment data management device 11.

[0054] The signal connection between the computing device 3 and the manufacturing environment data management device 11 can be through a Wi-Fi communication device 121 or an Ethernet communication device 122, and the signal connection between the automation equipment 2 and the manufacturing environment data management device 11 can be through any one of a plurality of data transmission devices. Furthermore, the input / output device can be connected to the manufacturing environment data management device 11 by signal through any one of a plurality of data transmission devices to thereby control the manufacturing environment data management device 11.

[0055] The manufacturing environment data management device 11 of the present invention can be used at different times, and has different operation modes at different times. The different times include production test time, production adjustment time, machine learning time and monitoring time, and the corresponding operation modes are production test mode, production adjustment mode, machine learning mode and monitoring mode.

[0056] The production test timing refers to the time point when the manufactured automation equipment 2 is tested before leaving the factory. The production adjustment timing refers to the time point when the manufactured automation equipment 2 fails to pass the test before leaving the factory. The machine learning timing refers to the time point when a sufficient number of known normal / abnormal results and corresponding multiple groups of multiple known detection data have been accumulated to establish a judgment model for long-term monitoring. The monitoring timing refers to the time point when the long-term operating automation equipment 2 is monitored after the judgment model has been established.

[0057] In the production test mode and the production adjustment mode, the manufacturing environment data recording device 114 is used to record and transmit a set of multiple detection data received by the detection interface 111. Through the transmission interface 113, the set of multiple detection data is transmitted to the computing device 3 and then stored in the database 4.

[0058] In the machine learning mode, the control device 116 is written into the judgment model, and the judgment model is established by finding a plurality of known core detection data in a plurality of groups of known detection data corresponding to a plurality of known normal / abnormal results by the computing device 3. In addition, the plurality of known normal / abnormal results and the corresponding plurality of known detection data of the plurality of groups are stored and provided by the database 4, and are the plurality of detection data of the plurality of groups and the corresponding plurality of normal / abnormal results judged by humans or machines stored at the time of production testing and production adjustment.

[0059] The establishment of the interpretation model can be achieved through feature extraction in the machine learning algorithm. If all the detection data are used to evaluate the establishment of the interpretation model, there may be technical problems such as warnings not being timely enough in the monitoring mode. Therefore, it is necessary to extract multiple core detection data from all the detection data for monitoring.

[0060] When performing feature extraction, the computing device 3 will find out the plurality of known core detection data in the plurality of known detection data in the plurality of groups corresponding to the plurality of known normal / abnormal results. Then, the computing device 3 will establish a judgment model based on the plurality of known normal / abnormal results and the plurality of known core detection data in the plurality of groups corresponding to them. In this way, in the monitoring mode, the control device 116 uses the judgment model to judge whether the automation device 2 is normal or abnormal based on the plurality of core detection data in the plurality of detection data in the group currently received synchronously, and generates a normal / abnormal judgment result.

[0061] In this embodiment, the manufacturing environment data management device 11 further includes a power management device 115, wherein the power management device 115 is signal-connected to the transmission interface 113 and the control device 116. The power management device 115 is used to generate a power management signal, and the transmission interface 113 is further used to transmit the power management signal to the automation device 2 to which the transmission interface 113 is signal-connected. The power management signal is used to manage the power supply of at least a part of a plurality of components of the automation device (for example, to limit the power range of the component, etc., but not limited to this, the power, voltage and / or current of the component can be controlled through the power management signal), and the control device 116 is used to receive the power control signal transmitted by the transmission interface 113 to control the power management device 115 to generate the power management signal. The user can operate an external input / output device to make the power management device 115 generate the required power management signal.

[0062] In this embodiment, the manufacturing environment data management device 11 further includes an alarm interface 112, and the alarm interface 112 signal is connected to the control device 116. In the monitoring mode, if the control device 116 uses the judgment model to judge that the automation equipment 2 is abnormal according to a group of multiple core detection data, the control device 116 uses the alarm interface 112 to make a signal to connect the multiple alarm devices of the alarm interface 112 to warn through the alarm interface 112. The number of the above-mentioned alarm devices can also be only one, and the present invention is not limited to the number of alarm devices. In this embodiment, the two alarm devices are a voice alarm device 131 and a light alarm device 132. In some embodiments, the alarm device can be integrated into the manufacturing environment data management device 11, rather than an external component of the manufacturing environment data management device 11.

[0063] Please also refer to Figure 1 to Figure 3 , Figure 3 The present invention is a schematic flow chart of a plurality of steps of a manufacturing environment data management method executed by a manufacturing environment data management device according to an embodiment of the present invention at a production test time and a production adjustment time. Steps S201, S202, S203 and S204 are executed at a production test time, while steps S202 and S203 to S205 are executed at a production adjustment time.

[0064] In step S201, the user first installs the manufacturing environment data management device 11 on the automation equipment 2 to be tested. In step S202, the user configures and tests the automation equipment 2, wherein the configuration means that the user sets the required counterpart (or counterpart) at a specific position of the automation equipment 2 and sets each manufacturing environment data of the automation equipment 2, and the above-mentioned test means that the manufacturing environment data management device 11 is used to obtain a set of multiple detection data of the automation equipment 2 under the above-mentioned configuration.

[0065] Furthermore, in step S202, the detection interface 111 of the manufacturing environment data management device 11 synchronously receives a set of a plurality of detection data corresponding to the configuration generated by the plurality of detectors detecting the plurality of components and / or processed objects of the automation equipment 2 of the automation equipment, and the manufacturing environment data recording device 114 of the manufacturing environment data management device 11 records and transmits a set of a plurality of detection data, and the set of a plurality of detection data is provided to the user through the transmission interface 113. Since there may be multiple configurations (for example, different relative parts have different configurations, and usually multiple configuration positions and multiple manufacturing environment data are tried), each configuration has a set of a plurality of detection data, and the plurality of detection data of the plurality of configurations are sent to the computing device 3 and the database 4.

[0066] Then, in step S203, the user determines whether the automation equipment 2 has passed the test based on a set of multiple detection data through visual observation or machine setting algorithm. If the test is passed, step S204 is executed, otherwise, step S205 is executed. In step S204, the manufacturing environment data management device 11 generates a normal / abnormal result indicating that the automation equipment 2 is normal, so as to inform the shipping personnel through the normal / abnormal result that the automation equipment 2 is normal and allow the shipping personnel to allow the shipment of the automation equipment 2. In addition, the computing device 3 and the database 4 will also obtain the normal / abnormal result of the automation equipment 2 under this configuration.

[0067] In step S205, the manufacturing environment data management device 11 generates a normal / abnormal result for indicating an abnormality of the automation equipment 2, so as to notify the shipping personnel of the abnormality of the automation equipment 2 through the normal / abnormal result, and instruct the user to adjust the automation equipment according to a set of multiple detection data previously configured. In addition, the computing device 3 and the database 4 will also obtain the normal / abnormal result of the automation equipment 2 under this configuration.

[0068] For example, if the detection data indicates that the resonance frequency of the robot arm is too high, the user can use the power management device 115 to control the power range of the motor to reduce the resonance frequency of the robot arm. For another example, if the detection data indicates that the setting angle of a certain component is deviated, the user can refer to the cross laser alignment data of the cross laser detection device 103 and the setting position of the relative component to adjust the deviation angle of the relevant component.

[0069] After step S205, step S202 is executed again to test the adjusted automation device 2 again. Please note that in some examples, in step S205, the user may also judge that the automation device 2 cannot be adjusted to work properly, so the manufacturing environment data management method is terminated after step S205 and no adjustment is performed.

[0070] In step S202 that is performed again, the detection interface 111 of the manufacturing environment data management device 11 synchronously receives a group of multiple detection data corresponding to the post-adjustment configuration generated by adjusting multiple detectors to detect multiple components and / or processed objects of the automation equipment 2 of the automation equipment. The manufacturing environment data recording device 114 of the manufacturing environment data management device 11 records and transmits the group of multiple detection data after the adjustment, and through the transmission interface 113, this group of multiple detection data after the adjustment will be provided to the user.

[0071] Next, in step S203, the user determines whether the automation device 2 has passed the test based on the plurality of detection data of the configuration after the adjustment by visual inspection or the algorithm set by the machine. If the test is passed, step S204 is executed, otherwise, step S205 is executed. The plurality of detection data of the configuration after the adjustment and the corresponding normal / abnormal results are transmitted to the computing device 3 and the database as the basis for establishing the judgment model.

[0072] Please also refer to Figure 1 , Figure 2 and Figure 4 , Figure 4 It is a schematic flow chart of a plurality of steps of a manufacturing environment data management method executed by a manufacturing environment data management device according to an embodiment of the present invention at machine learning timing and monitoring timing. Steps S207 and S208 are executed at the machine learning timing, and step S209 is executed at the monitoring timing.

[0073] In step S207, the computing device 3 performs feature extraction to find out a plurality of known core detection data in a plurality of groups of known detection data corresponding to a plurality of known normal / abnormal results. Next, in step S208, the computing device 3 establishes a judgment model based on the plurality of known normal / abnormal results and the plurality of known core detection data in the corresponding plurality of groups, and writes the judgment model into the control device 116 of the manufacturing environment data management device 11.

[0074] Afterwards, in step S209, the control device 116 of the manufacturing environment data management device 11 uses the judgment model to judge whether the automation equipment 2 is normal or abnormal based on the multiple core detection data in a group of multiple detection data currently received synchronously, and generates a normal / abnormal result. In addition, the multiple detection data and the corresponding normal / abnormal results will also be transmitted to the computing device 3 and the database 4 to facilitate subsequent data retrieval, or use these data for updating the judgment model.

[0075] In summary, the manufacturing environment data management device, method and intelligent automation equipment system provided by the present invention can record and eliminate abnormal production conditions, and a group of multiple detection data received synchronously can be used for cross-comparison and analysis to facilitate the adjustment of automation equipment. Furthermore, the transmission interface used can transmit each group of multiple detection data to the computing device, so it is convenient to establish database data and let the computing device perform machine learning, find multiple core detection data to establish a judgment model, and the established judgment model will be written back to the manufacturing environment data management device, so that the manufacturing environment data management device can monitor the automation equipment that runs for a long time in the monitoring mode.

Claims

1. A manufacturing environment data management device, installed in an automation equipment (2), characterized in that: include: A detection interface (111), signal-connected to a plurality of detectors, for synchronously receiving a set of a plurality of detection data generated by the plurality of detectors detecting a plurality of components of the automation equipment (2) and / or a workpiece; A transmission interface (113) for synchronously transmitting the plurality of detection data of the group to a computing device (3) signal-connected to the transmission interface (113); a manufacturing environment data recording device (114), signal-connected to the detection interface (111) and the transmission interface (113), and used for recording and transmitting the plurality of detection data of the group received by the detection interface (111) in a production test mode and a production adjustment mode; and a control device (116) connected to the detection interface (111) and the transmission interface (113) by signals; In a machine learning mode, the control device (116) is written into a judgment model, and the judgment model is established by the computing device (3) finding a plurality of known core detection data in a plurality of groups of known detection data corresponding to a plurality of known normal / abnormal results; and in a monitoring mode, the control device (116) uses the judgment model to judge whether the automation equipment (2) is normal or abnormal based on a plurality of core detection data in the plurality of detection data in the group currently received synchronously, and generates a normal / abnormal judgment result.

2. The manufacturing environment data management device according to claim 1, characterized in that: It further includes the plurality of detectors, wherein the plurality of detectors include an image capturing device (101), a distance measuring device (102), a cross laser detecting device (103), a vibration sensing device (104), a humidity detecting device (105), a temperature sensing device (107) and a sound capturing device (106), and the plurality of detection data of the group include an image data, a distance data, a cross laser alignment data, a vibration data, a humidity data, a temperature data and a sound data.

3. The manufacturing environment data management device according to claim 1, characterized in that: It further includes a plurality of data transmission devices, wherein the plurality of data transmission device signals are connected to the transmission interface (113), and the plurality of data transmission devices include a WiFi communication device (121), an Ethernet communication device (122), a Bluetooth communication device (123), a universal input / output device (124), a universal serial bus device (125) and a digital security card device (126).

4. The manufacturing environment data management device as claimed in claim 1, further comprising: A power management device (115) is signal-connected to the transmission interface (113) and the control device (116), wherein the power management device (115) is used to generate a power management signal, and the transmission interface (113) is further used to transmit the power management signal to the automation device (2) to which the transmission interface (113) is signal-connected, the power management signal is used to manage a power supply condition of at least a part of the plurality of components of the automation device (2), and the control device (116) is used to receive a power control signal transmitted by the transmission interface (113) to control the power management device (115) to generate the power management signal.

5. The manufacturing environment data management device according to claim 1, characterized in that: Also includes: An alarm interface (112) is connected to the control device (116) by signal, wherein in the monitoring mode, if the control device (116) uses the interpretation model to interpret that the automation equipment (2) is abnormal based on the plurality of core detection data of the group, the control device (116) sends a signal to at least one alarm device connected to the alarm interface (112) through the alarm interface (112) to issue an alarm.

6. The manufacturing environment data management device according to claim 5, characterized in that: It further includes at least one alarm device, which includes a voice alarm device (131) and / or a light alarm device (132).

7. The manufacturing environment data management device according to claim 1, characterized in that: In the machine learning mode, the computing device (3) performs a feature extraction to find the multiple known core detection data in the multiple known detection data of the multiple groups corresponding to the multiple known normal / abnormal results. Then, the computing device (3) establishes the judgment model based on the multiple known normal / abnormal results and the multiple known core detection data of the multiple groups corresponding to them.

8. The manufacturing environment data management device according to claim 7, characterized in that: In the production test mode, a user configures the automation equipment (2), the manufacturing environment data recording device (114) records and transmits the plurality of detection data corresponding to the group of the configuration, and provides the plurality of detection data corresponding to the group of the configuration to the user, and the user determines whether the automation equipment (2) under the configuration passes the test, so that the computing device (3) obtains the normal / abnormal result of the automation equipment (2) under the configuration.

9. The manufacturing environment data management device according to claim 8, characterized in that: If the normal / abnormal result of the automation equipment (2) under the configuration indicates that the automation equipment (2) is abnormal, the manufacturing environment data management device (11) enters the production adjustment mode, and the user adjusts the automation equipment (2) according to the plurality of detection data of the group corresponding to the configuration. The manufacturing environment data recording device (114) records and transmits the plurality of detection data of the group after adjustment, and provides the plurality of detection data of the group after adjustment to the user. The user determines whether the automation equipment (2) passes the test after adjustment, so that the computing device (3) obtains the normal / abnormal result of the automation equipment (2) after adjustment.

10. An intelligent automation equipment system, characterized in that: include: The manufacturing environment data management device (11) as claimed in any one of claims 1 to 9; The automation device (2); the computing device (3); and A database (4) is signal-connected to the computing device (3) and is used to store the plurality of detection data of the group and the corresponding normal / abnormal results, and to store the plurality of known normal / abnormal results and the plurality of known detection data of the plurality of groups corresponding to the plurality of known normal / abnormal results.

11. A manufacturing environment data management method, characterized in that: include: In a production test mode, a user configures an automation device (2), a manufacturing environment data management device (11) synchronously receives a group of multiple detection data corresponding to the configuration generated by multiple detectors detecting multiple components and / or a processed object of the automation device (2), the manufacturing environment data management device (11) records and transmits the multiple detection data of the group, and provides the multiple detection data of the group to the user, the user determines whether the automation device (2) under the configuration passes the test, so that a computing device (3) obtains a normal / abnormal result of the automation device (2) under the configuration; If the normal / abnormal result of the automation equipment (2) under the configuration indicates that the automation equipment (2) is abnormal, the manufacturing environment data management device (11) enters a production adjustment mode; In the production adjustment mode, the user adjusts the automation equipment (2) according to the plurality of detection data of the configured group, the manufacturing environment data management device (11) records and transmits the plurality of detection data of the group after adjustment, and provides the plurality of detection data of the group after adjustment to the user, the user determines whether the automation equipment (2) after adjustment passes the test, so that the computing device (3) obtains the normal / abnormal result of the automation equipment (2) after adjustment; In a machine learning mode, the computing device (3) performs a feature extraction to find a plurality of known core detection data in a plurality of groups of known detection data corresponding to a plurality of known normal / abnormal results. Then, the computing device (3) establishes a judgment model based on the plurality of known normal / abnormal results and the plurality of known core detection data in the corresponding plurality of groups, and writes the judgment model into the manufacturing environment data management device (11); and In a monitoring mode, the manufacturing environment data management device (11) uses the judgment model to judge whether the automation equipment (2) is normal or abnormal based on a plurality of core detection data in the group of the plurality of detection data currently received synchronously, and generates the normal / abnormal result.

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