Man-machine interaction system and method

Abstract

The invention provides a man-machine interaction system and method. The man-machine interaction system comprises wearable intelligent equipment and detection equipment, the wearable intelligent device is worn on a human body part of a wearer, and the detection device is arranged on the production device; the wearable intelligent device is used for receiving the operation state information, transmitted by the detection device, of the different production devices and processing the operation state information; and the detection device is used for detecting operation state information of different production devices and transmitting the operation state information to the wearable intelligent device. Through communication interaction among the wearable intelligent equipment, the detection equipment and the production equipment, processing of the operation state information of different production equipment based on the wearable intelligent equipment is realized, smooth operation of the production equipment is ensured, and the overall working efficiency of the man-machine interaction system is ensured.

Description

Technical Field

[0001] The present disclosure relates to the field of human-computer interaction technology, and in particular to a human-computer interaction system and method. Background Art

[0002] At present, printed circuit boards (PCBs) are widely used in various electronic devices, whether mobile phones, computers, cars, or complex customized electronic machines, all of which are controlled by printed circuit boards as the central nervous system. If there are defects or manufacturing problems with the PCB, it may cause the final product to fail, and the manufacturer will have to recall the equipment and spend more time and resources to repair the failure. Automatic detection is an essential detection and testing equipment for modern PCB manufacturers, which is divided into online testing (ICT), flying probe testing, functional testing, automatic optical inspection (AOI), X-ray testing, laser testing, aging testing, solderability testing, PCB contamination testing, microscopic section analysis, time domain reflectometry (TDR), peeling testing, solder float testing, etc. It mainly detects the integrity, health, reliability and functionality of each PCBA produced on the production line, and clearly informs the staff to reduce product failures and reduce later risks.

[0003] At present, many electronics factories use automation equipment to form various production equipment in order to improve the detection efficiency of production lines: such as using robotic arms and intelligent equipment to collaboratively detect loading and unloading to realize batch detection of various PCB cards; such as using AGV carts to transport batch cards to be tested; such as using cameras to detect the overall appearance of the cards to be tested and the status changes of some components; such as using various sensors to monitor the execution status of the monitoring process, etc. These fully automatic production equipment can operate 24 hours a day without interruption. While improving efficiency, it can also greatly reduce dependence on labor, including the number of labor and manual skills. However, since various types of production equipment need to be configured with different robotic arms, when a certain device has a sudden failure, the robotic arm cannot timely and intelligently eliminate the sudden failure by itself, and people are needed to judge the sudden failure. The production workshop is relatively large, and it is difficult for one person to quickly respond to the operation and maintenance requests of multiple sets of production equipment. Often, multiple operators are required to assist in the production activities of multiple production equipment in the workshop, which only handles occasional events, resulting in a waste of personnel. Summary of the invention

[0004] The technical problem to be solved by the present disclosure is to overcome the defect that the prior art adopts an automated method to perform equipment inspection on a production line and cannot realize one-to-many collaborative management, and to provide a human-computer interaction system and method.

[0005] The present invention solves the above technical problems through the following technical solutions:

[0006] The first aspect of the present disclosure provides a human-computer interaction system, including a wearable smart device and a detection device; the wearable smart device is worn on a body part of a wearer, and the detection device is arranged on a production device;

[0007] The wearable smart device is used to receive the operating status information of different production equipment transmitted by the detection device and process the operating status information;

[0008] The detection device is used to detect the operating status information of different production equipment and transmit the operating status information to the wearable smart device.

[0009] Preferably, the wearable smart device is also used to detect the wearer's physiological information, determine whether the wearer's working status is normal based on the physiological information, and turn on the vibration mode and output voice prompt information when it is determined that the wearer's working status is abnormal.

[0010] Preferably, the detection device comprises a measuring sensor;

[0011] The measuring sensor is used to detect the distance value between the wearable smart device and the production equipment, and when it is determined that the distance value is greater than a preset distance value, transmit the information that the wearer is not at the work station to the wearable smart device, so as to output voice prompt information through the wearable smart device;

[0012] and / or,

[0013] The detection equipment includes a production equipment health algorithm model;

[0014] The production equipment health algorithm model is used to predictively analyze the health status of the production equipment based on the collected real-time data of the production equipment and issue reminder data.

[0015] Preferably, the wearable smart device includes an emergency processing module;

[0016] The emergency processing module is used to control the wearable smart device to perform emergency stop processing on the production equipment with abnormal operating status information when the wearable smart device receives abnormal operating status information of the production equipment.

[0017] Preferably, the wearable smart device is also used to receive a voice command from the wearer and display log data corresponding to the voice command according to the voice command.

[0018] Preferably, the wearable smart device is specifically used to receive the operating status information of different production equipment transmitted by the detection device, and display normal operating status information.

[0019] Preferably, the wearable smart device is specifically used to receive the operating status information of different production equipment transmitted by the detection device, and to perform text display and / or voice broadcast when the operating status information is abnormal.

[0020] Preferably, the wearable smart device is further used to voice broadcast the operating status information of the production equipment when it is determined that the distance value is less than or equal to the preset distance value.

[0021] Preferably, the wearable smart device is further configured to, when detecting that the detection device restarts successfully, give a voice prompt to start the process; or, when detecting that the detection device restarts unsuccessfully, give a voice prompt to indicate the cause of the failure.

[0022] A second aspect of the present disclosure provides a human-computer interaction method, which is applied to a human-computer interaction system, wherein the human-computer interaction system includes a wearable smart device and a detection device; the wearable smart device is worn on a body part of a wearer, and the detection device is arranged on a production device; the human-computer interaction method includes:

[0023] The wearable smart device receives the operating status information of different production equipment transmitted by the detection device, and processes the operating status information;

[0024] The detection device detects the operating status information of different production equipment and transmits the operating status information to the wearable smart device.

[0025] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present disclosure.

[0026] The positive and progressive effects of this disclosure are:

[0027] The present invention realizes the processing of operating status information of different production equipment based on wearable smart devices through communication interaction among wearable smart devices, detection equipment and production equipment, ensures the smooth operation of production equipment, and ensures the overall working efficiency of the human-computer interaction system. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is an interaction diagram of a human-computer interaction system provided in Example 1 of the present disclosure.

[0029] Figure 2 A flowchart of a human-computer interaction method provided in Example 2 of the present disclosure. DETAILED DESCRIPTION

[0030] The present disclosure is further described below by way of examples, but the present disclosure is not limited to the scope of the examples.

[0031] Prefixes such as "first" and "second" are used in the embodiments of the present disclosure only to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. The use of prefixes such as ordinal numbers to distinguish description objects in the embodiments of the present disclosure does not constitute a limitation on the described objects. For the statement of the described objects, please refer to the description in the context of the claims or embodiments, and no unnecessary limitation should be constituted due to the use of such prefixes. In addition, in the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.

[0032] In the embodiments of the present disclosure, the collection, storage, use, processing, transmission, provision and disclosure of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0033] Example 1

[0034] Figure 1 An interactive schematic diagram of a human-computer interaction system provided by an exemplary embodiment 1 of the present disclosure is shown in FIG. Figure 1 As shown, it includes a wearable smart device 1 and a detection device 2; the wearable smart device 1 is worn on the body part of the wearer 3, and the detection device 2 is set on the production device 4; it should be noted that, as Figure 1 The dashed line represents contactless wireless communication, and the solid line represents contact-type physical connection.

[0035] The wearable smart device 1 is used to receive the operation status information of different production equipment transmitted by the detection device and process the operation status information;

[0036] The detection device 2 is used to detect the operating status information of different production equipment and transmit the operating status information to the wearable smart device 1.

[0037] In this embodiment, the wearable smart device can be a watch-like portable device, and the wearer can be a production line attendant. The production line attendant wears the watch-like portable device, and the watch-like portable device can directly contact the wrist of the production line attendant.

[0038] In the specific implementation process, the production line staff wear watch-like portable devices to form an intelligent interactive human-machine collaborative interaction system with various fully automatic production equipment in the production line. On the one hand, various fully automatic production equipment are equipped with intelligent detection equipment and signal sending modules, which can directly synchronize various status of the equipment to the wearable smart device at the first time. On the other hand, the wearable smart device can monitor the pulse and heartbeat of the production line staff on duty and the distance from the detection equipment, and make vibration and voice reminders. In addition, after the detection equipment detects that the production line staff on duty are approaching, it directly expresses real-time requests to the production line staff on duty, and the production line staff on duty can also use voice control to let the wearable smart device display the log status details.

[0039] It should be noted that the detection equipment is a small intelligent detection module. In order to prevent the intelligent human-machine interaction system from interfering with the normal operation of various fully automatic production equipment on the production line, the installation and operation of the designed small intelligent detection module are completely independent of all fully automatic production equipment on the production line.

[0040] In addition, the miniaturized intelligent detection module with integrated software and hardware can be directly installed on the key components of various fully automatic production equipment, such as the robot arm, automatic loading and unloading machine, AGV car, NG belt sensor, camera and electric drive pull rod of the production equipment.

[0041] Specifically, the intelligent detection miniaturized module is installed on key components of fully automatic production equipment such as robotic arms, automatic loading and unloading machines, AGV carts, cameras, NG belt unloading sensors, etc. It is actually a patch-type module integrating software and hardware. The intelligent detection miniaturized module can monitor the following:

[0042] (1) Monitor the equipment operation trajectory and frequency of the robotic arm, and send signal data in time when abnormalities are found;

[0043] (2) Monitor the running count of the automatic loading and unloading machine and calculate the detection efficiency; send signal data when the timeout occurs;

[0044] (3) Monitor the movement trajectory and speed of the AGV and send signal data in time when abnormalities occur;

[0045] (4) Monitor the NG belt unloading sensor and send signal data in time when it is full or fails;

[0046] (5) The monitoring probe camera detects the number of plug-in operations and takes photos to identify the degree of bending. When the image is abnormal or the service period is exceeded, a signal is issued to remind the data;

[0047] (6) Monitor the temperature, sound and vibration frequency of the main test bench, electric drive mechanism and starting drive mechanism of the fully automatic production equipment during operation, predictively analyze the health status of each key equipment, and issue reminder signal data.

[0048] This embodiment realizes the processing of operating status information of different production equipment based on wearable smart devices through communication interaction between wearable smart devices, detection equipment and production equipment, ensures the smooth operation of production equipment, and ensures the overall work efficiency of the human-computer interaction system.

[0049] In an optional embodiment, the wearable smart device is also used to detect the wearer's physiological information, determine whether the wearer's working status is normal based on the physiological information, and turn on the vibration mode and output voice prompt information when it is determined that the wearer's working status is abnormal.

[0050] In this embodiment, the wearable smart device monitors the pulse of the production line staff on duty to determine whether the production line staff on duty is in normal working condition. If it is detected that the production line staff on duty is not in working condition (such as falling asleep during the night shift or being away from the post during the shift), the wearable smart device starts vibrating and voice reminders.

[0051] In an optional embodiment, the detection device includes a measurement sensor;

[0052] The measuring sensor is used to detect the distance value between the wearable smart device and the production equipment, and when it is determined that the distance value is greater than a preset distance value, the information that the wearer is not at the work station is transmitted to the wearable smart device, so as to output voice prompt information through the wearable smart device.

[0053] In an optional embodiment, the detection device includes a production equipment health algorithm model;

[0054] The production equipment health algorithm model is used to predictively analyze the health status of production equipment based on the real-time data collected from production equipment and issue reminder data.

[0055] In this embodiment, the real-time data of the production equipment includes but is not limited to the temperature, sound, vibration frequency, etc. of the production equipment when it is working.

[0056] In an optional embodiment, the wearable smart device is also used to actively broadcast the operating status information of the production equipment by voice when it is determined that the distance value is less than or equal to a preset distance value.

[0057] In this embodiment, the measuring sensor may be a GPS wireless sensor, and the preset distance value is set according to actual conditions, which is not specifically limited here.

[0058] In the specific implementation process, a GPS wireless sensor is used to determine the distance between the wearable smart device and the fully automatic production equipment, and an acceptable range value (for example, a preset distance value) is configured. When the distance value exceeds the range value, it indicates that the wearer is not at his / her work station and cannot complete the collaborative work with the production equipment in time, and a voice reminder is given.

[0059] It should be noted that wearable smart devices and detection equipment can interact intelligently through voice. When production line attendants wearing wearable smart devices approach various automatic production equipment on the production line, the operating status of the corresponding automatic production equipment in front of the wearer will be automatically broadcast.

[0060] In an optional embodiment, the wearable smart device includes an emergency processing module;

[0061] The emergency processing module is used to control the wearable smart device to perform emergency stop processing on the production equipment with abnormal operating status information when the wearable smart device receives abnormal operating status information of the production equipment.

[0062] In this embodiment, the wearable smart device has a remote emergency processing module, which can directly operate the watch-type wearable device to perform an emergency stop on a fully automatic production equipment in a dangerous operating state in the production workshop. Specifically, when an emergency occurs in a fully automatic production equipment on the production line, the power button of the wearable smart device can be turned, and the action persists for a preset time (for example, 2 seconds) to stop the fully automatic production equipment in an emergency to ensure the safety of the equipment, products and personnel.

[0063] In an optional embodiment, the wearable smart device is further used to receive voice commands from the wearer and display log data corresponding to the voice commands based on the voice commands.

[0064] In this embodiment, the wearable smart device can receive and recognize voice requests from the production line staff on duty. According to the voice request, the wearable smart device displays the status details of the nearest fully automatic production equipment, that is, according to the voice request, the relevant log data is provided to the screen of the wearable smart device for viewing in a timely manner.

[0065] In an optional embodiment, the wearable smart device is specifically used to receive the operating status information of different production equipment transmitted by the detection equipment, and display normal operating status information.

[0066] In an optional embodiment, the wearable smart device is specifically used to receive the operating status information of different production equipment transmitted by the detection equipment, and when the operating status information is abnormal, perform text display and / or voice broadcast.

[0067] In this embodiment, the intelligent detection device is a distributed patch intelligent detection miniaturized module with the functions of real-time data collection and wireless data transmission. It can send operation-related data to the wearable smart device for classification and processing in a timely manner. The patch module is installed at a different real-time data location. The wireless MQTT subscription system is used to synchronize these abnormal signal data triggered by the patch module to the wearable smart device in a multi-point asynchronous and timely manner. A data model for normal operation is established, and a health diagnosis of real-time data anomalies is given based on the model algorithm, and synchronized to the wearable smart device. For normal data, only real-time dynamic display is performed. For abnormal information, the wearable smart device displays text on the screen and / or voice broadcasts until the production line staff on duty determines to eliminate it. Specific examples include, but are not limited to:

[0068] a. Abnormal synchronization of the equipment running trajectory and frequency of the robot arm;

[0069] b. Count the operation of the automatic loading and unloading machine and synchronize the detection efficiency;

[0070] c. Synchronize the motion trajectory and speed of the AGV;

[0071] d. Synchronize the fault information of NG belt unloading sensor;

[0072] e. Collect image information from the dedicated camera of the detection equipment and synchronize it when an abnormality occurs;

[0073] f. Predictive analysis of the health status of key equipment, such as electric drive mechanisms, belt rolling mechanisms, slide rails, etc.

[0074] In an optional embodiment, the wearable smart device is further used to, when detecting that the detection device restarts successfully, give a voice prompt to start the process; or, when detecting that the detection device restarts unsuccessfully, give a voice prompt to indicate the cause of the failure.

[0075] In this embodiment, when the detection device is restarted, a voice prompt is given to start the process. If the detection device fails to start, a voice prompt is given to indicate the cause of the failure. After the intelligent detection device determines that the wearable intelligent device is approaching a certain distance from the remote end, it actively sends a "conversation" request, actively explains the current working status, collaboration request and working time, and determines how long collaboration will be needed, such as checking probe fixtures, manual material collection for NG unloading, and evaluating the defective rate of this batch of products, and proposing requirements such as manual maintenance or manual review, which are expressed through voice.

[0076] The human-computer interaction system of this embodiment includes detection equipment and wearable intelligent devices. The detection equipment detects the operating status of key components of various fully automatic production equipment on the production line and monitors their health status. After the production line staff wears the wearable intelligent device, the wearable intelligent device and the detection equipment communicate wirelessly, and can complete the collaborative production of multiple types and multiple sets of automatic production equipment within a larger workshop range, solving the centralized control of various types of fully automated production equipment in the electronics production plant. Flexible multi-point control and monitoring of multiple types and sets of fully automated production equipment can be carried out. After subscribing to the necessary information from the background, the wearable intelligent device can realize real-time interaction and collaboration between people and machines. It makes various types of fully automated production equipment in the electronics production plant more intelligent and humanized, so that the equipment is no longer silent. Through the predictive analysis and active voice utterance of the intelligent detection equipment, the smooth operation of the equipment is guaranteed, and the overall work efficiency of the production system is ensured.

[0077] Example 2

[0078] Corresponding to the aforementioned human-computer interaction system embodiment, the present disclosure also provides an embodiment of a human-computer interaction method.

[0079] Figure 2 A flowchart of a human-computer interaction method provided by an exemplary embodiment 2 of the present disclosure is provided. The human-computer interaction method is applied to a human-computer interaction system. The human-computer interaction system includes a wearable smart device and a detection device. The wearable smart device is worn on a part of a wearer's body, and the detection device is arranged on a production device. Figure 2 As shown, the human-computer interaction method includes:

[0080] S1. The wearable smart device receives the operation status information of different production equipment transmitted by the detection equipment and processes the operation status information;

[0081] S2. The detection equipment detects the operating status information of different production equipment and transmits the operating status information to the wearable smart device.

[0082] In this embodiment, the wearable smart device can be a watch-like portable device, and the wearer can be a production line attendant. The production line attendant wears the watch-like portable device, and the watch-like portable device can directly contact the wrist of the production line attendant.

[0083] In the specific implementation process, the production line staff wear watch-like portable devices to form an intelligent interactive human-machine collaborative interaction system with various fully automatic production equipment in the production line. On the one hand, various fully automatic production equipment are equipped with intelligent detection equipment and signal sending modules, which can directly synchronize various status of the equipment to the wearable smart device at the first time. On the other hand, the wearable smart device can monitor the pulse and heartbeat of the production line staff on duty and the distance from the detection equipment, and make vibration and voice reminders. In addition, after the detection equipment detects that the production line staff on duty are approaching, it directly expresses real-time requests to the production line staff on duty, and the production line staff on duty can also use voice control to let the wearable smart device display the log status details.

[0084] It should be noted that the detection equipment is a small intelligent detection module. In order to prevent the intelligent human-machine interaction system from interfering with the normal operation of various fully automatic production equipment on the production line, the installation and operation of the designed small intelligent detection module are completely independent of all fully automatic production equipment on the production line.

[0085] In addition, the miniaturized intelligent detection module with integrated software and hardware can be directly installed on the key components of various fully automatic production equipment, such as the robot arm, automatic loading and unloading machine, AGV car, NG belt sensor, camera and electric drive pull rod of the production equipment.

[0086] Specifically, the intelligent detection miniaturized module is installed on key components of fully automatic production equipment such as robotic arms, automatic loading and unloading machines, AGV carts, cameras, NG belt unloading sensors, etc. It is actually a patch-type module integrating software and hardware. The intelligent detection miniaturized module can monitor the following:

[0087] (1) Monitor the equipment operation trajectory and frequency of the robotic arm, and send signal data in time when abnormalities are found;

[0088] (2) Monitor the running count of the automatic loading and unloading machine and calculate the detection efficiency; send signal data when the timeout occurs;

[0089] (3) Monitor the movement trajectory and speed of the AGV and send signal data in time when abnormalities occur;

[0090] (4) Monitor the NG belt unloading sensor and send signal data in time when it is full or fails;

[0091] (5) The monitoring probe camera detects the number of plug-in operations and takes photos to identify the degree of bending. When the image is abnormal or the service period is exceeded, a signal is issued to remind the data;

[0092] (6) Monitor the temperature, sound and vibration frequency of the main test bench, electric drive mechanism and starting drive mechanism of the fully automatic production equipment during operation, predictively analyze the health status of each key equipment, and issue reminder signal data.

[0093] This embodiment realizes the processing of operating status information of different production equipment based on wearable smart devices through communication interaction between wearable smart devices, detection equipment and production equipment, ensures the smooth operation of production equipment, and ensures the overall work efficiency of the human-computer interaction system.

[0094] The human-computer interaction system of this embodiment includes detection equipment and wearable intelligent devices. The detection equipment detects the operating status of key components of various fully automatic production equipment on the production line and monitors their health status. After the production line staff wears the wearable intelligent device, the wearable intelligent device and the detection equipment communicate wirelessly, and can complete the collaborative production of multiple types and multiple sets of automatic production equipment within a larger workshop range, solving the centralized control of various types of fully automated production equipment in the electronics production plant. Flexible multi-point control and monitoring of multiple types and sets of fully automated production equipment can be carried out. After subscribing to the necessary information from the background, the wearable intelligent device can realize real-time interaction and collaboration between people and machines. It makes various types of fully automated production equipment in the electronics production plant more intelligent and humanized, so that the equipment is no longer silent. Through the predictive analysis and active voice utterance of the intelligent detection equipment, the smooth operation of the equipment is guaranteed, and the overall work efficiency of the production system is ensured.

[0095] As for the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only illustrative, wherein the units described as separate components may or may not be physically separated, and the components as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the disclosed solution.

[0096] Although the specific embodiments of the present disclosure are described above, those skilled in the art should understand that this is only an example, and the protection scope of the present disclosure is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present disclosure, but these changes and modifications all fall within the protection scope of the present disclosure.

Claims

1. A human-computer interaction system, characterized in that: It includes a wearable smart device and a detection device; the wearable smart device is worn on a wearer's body, and the detection device is arranged on the production equipment; The wearable smart device is used to receive the operating status information of different production equipment transmitted by the detection device and process the operating status information; The detection device is used to detect the operating status information of different production equipment and transmit the operating status information to the wearable smart device.

2. The human-computer interaction system according to claim 1, characterized in that: The wearable smart device is also used to detect the wearer's physiological information, determine whether the wearer's working state is normal based on the physiological information, and turn on the vibration mode and output voice prompt information when it is determined that the wearer's working state is abnormal.

3. The human-computer interaction system according to claim 1, characterized in that: The detection device includes a measuring sensor; The measuring sensor is used to detect the distance value between the wearable smart device and the production equipment, and when it is determined that the distance value is greater than a preset distance value, transmit the information that the wearer is not at the work station to the wearable smart device, so as to output voice prompt information through the wearable smart device; and / or, The detection equipment includes a production equipment health algorithm model; The production equipment health algorithm model is used to predictively analyze the health status of the production equipment based on the collected real-time data of the production equipment and issue reminder data.

4. The human-computer interaction system according to claim 1, characterized in that: The wearable smart device includes an emergency processing module; The emergency processing module is used to control the wearable smart device to perform emergency stop processing on the production equipment with abnormal operating status information when the wearable smart device receives abnormal operating status information of the production equipment.

5. The human-computer interaction system according to claim 1, characterized in that: The wearable smart device is also used to receive the voice command of the wearer and display the log data corresponding to the voice command according to the voice command.

6. The human-computer interaction system according to claim 1, characterized in that: The wearable smart device is specifically used to receive the operating status information of different production equipment transmitted by the detection device, and display normal operating status information.

7. The human-computer interaction system according to claim 1, characterized in that: The wearable smart device is specifically used to receive the operating status information of different production equipment transmitted by the detection device, and to perform text display and / or voice broadcast when the operating status information is abnormal.

8. The human-computer interaction system according to claim 3, characterized in that: The wearable smart device is also used to voice broadcast the operating status information of the production equipment when it is determined that the distance value is less than or equal to the preset distance value.

9. The human-computer interaction system according to claim 1, characterized in that: The wearable smart device is also used to, when detecting that the detection device restarts successfully, give a voice prompt to start the process; or, when detecting that the detection device restarts unsuccessfully, give a voice prompt to indicate the cause of the failure.

10. A human-computer interaction method, characterized in that: The human-computer interaction method is applied to a human-computer interaction system, wherein the human-computer interaction system includes a wearable intelligent device and a detection device; The wearable smart device is worn on a body part of a wearer, and the detection device is arranged on a production device; The human-computer interaction method comprises: The wearable smart device receives the operating status information of different production equipment transmitted by the detection device, and processes the operating status information; The detection device detects the operating status information of different production equipment and transmits the operating status information to the wearable smart device.

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