Anti-static real-time monitoring system based on human body induction

Abstract

The utility model provides an anti-static real-time monitoring system based on human body induction. The anti-static real-time monitoring system comprises a master controller, an electrostatic alarm, an electrostatic bracelet and a human body recognition assembly, wherein the electrostatic alarm, the electrostatic bracelet and the human body recognition assembly are electrically connected with the master controller; the static alarm, the static bracelet and the human body recognition assembly are electrically connected with the master controller; in use, the human body identification assembly monitors whether there is a worker at an operation station, and feeds back monitoring result information to the master controller; after receiving the corresponding monitoring result information, the master controller judges whether there is a worker at the operation station; if the judgment result is yes, the static alarm is controlled to work normally, and the static alarm monitors the wearing condition of the static bracelet on the wrist of the user; and if the judgment result is no, controlling the static alarm to stop working. The wearing state of the electrostatic bracelet is monitored in real time on the basis of the existence of workers on the operation station, so that the accuracy of an anti-static monitoring result is effectively improved, the production safety of electronic products on factory stay wires is improved, and the rate of finished products is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of electrostatic detection, and further to an anti-static real-time monitoring system based on human body induction. Background Art

[0002] Anti-static wristbands, as small devices that protect electronic chips by releasing static electricity stored in the human body, are widely used in electronics, semiconductors, medical, chemical and other production fields.

[0003] In actual application scenarios, such as factory pulling lines, workers need to wear anti-static wristbands before touching electronic products to eliminate the damage of human static electricity to the products. However, due to the uneven anti-static awareness of workers, it often happens that workers forget to wear anti-static wristbands during production operations, resulting in static electricity risks in the product processing process; in this regard, most manufacturers usually specially appoint supervisors to check the wearing of anti-static wristbands by workers on the pulling lines. However, due to human subjective initiative, the wearing of anti-static wristbands is checked manually one by one, and the inspection results are inaccurate, and real-time monitoring cannot be achieved, making it difficult to prevent mistakes; and once the problem of static electricity damaging sensitive components is found, it usually means that batch scrap has appeared, and the loss of the enterprise is difficult to estimate. Therefore, the industry urgently needs to develop a monitoring system that can monitor the wearing of anti-static wristbands in real time, so as to improve the accuracy of anti-static monitoring results and the yield rate of products on the pulling line. Utility Model Content

[0004] The purpose of this application is to provide an anti-static real-time monitoring system based on human body induction to improve the accuracy of anti-static monitoring, thereby improving the production safety of corresponding electronic products and improving the yield rate.

[0005] The technical solutions provided by this application are as follows:

[0006] The present application provides a real-time anti-static monitoring system based on human body induction, comprising:

[0007] Master controller;

[0008] A static electricity alarm and a static electricity wristband, wherein the static electricity alarm is adapted to the static electricity wristband, and the static electricity alarm, the static electricity wristband and the master controller are all electrically connected;

[0009] A human body recognition component is electrically connected to the main controller, and is used to monitor whether there are staff at the operating station, and feed back the monitoring result information to the main controller; after receiving the corresponding monitoring result information, the main controller determines whether there are staff at the operating station; if the judgment result is yes, the static electricity alarm is controlled to work normally, and the static electricity alarm monitors the wearing condition of the static electricity bracelet on the user's wrist; if the judgment result is no, the static electricity alarm is controlled to suspend work.

[0010] According to the human body induction-based anti-static real-time monitoring system provided by the present application, a human body recognition component is set to monitor whether there are staff at the operating station; in actual application, the human body recognition component is first used to monitor whether there are staff at the operating station, and a judgment is made through the main controller; if the main controller determines that there are staff at the operating station, the static electricity alarm is controlled to operate normally, and the static electricity alarm monitors the wearing condition of the static electricity bracelet on the user's wrist through, for example, an internal detection circuit, and feeds back the monitoring result to the main controller; after receiving the corresponding monitoring result information, the main controller determines whether the static electricity bracelet is in a normal wearing state; if the judgment result is yes, that is, the static electricity bracelet is normally grounded, the static electricity alarm is controlled not to alarm; if the judgment result is no, the static electricity alarm is controlled not to alarm.

[0011] However, if the main controller determines that there is no staff at the operating station, it means that the operating station is in a non-working state at this time, and the static electricity alarm is controlled to suspend working; for example, the staff leaves the operating station for a temporary matter and takes off the static electricity wristband. At this time, the static electricity alarm does not alarm, and the staff returns to the operating station and puts on the static electricity wristband again to prevent static electricity normally.

[0012] In this way, the wearing status of the anti-static wristband is monitored in real time based on the presence or absence of staff at the operating station, so that the staff can be reminded to wear the anti-static wristband when entering the operating station, effectively improving the timeliness of the anti-static monitoring action; and, in addition, it replaces the manual monitoring method in related technologies, with a high level of automation and intelligence, which helps to improve the accuracy of the anti-static monitoring results, thereby effectively improving the production safety of electronic products on the factory drawing line and significantly improving the yield rate.

[0013] In some embodiments, an operating table is further included, and the human body recognition component is installed on the bottom surface of the operating table.

[0014] Through the human body sensing-based anti-static real-time monitoring system provided by the present application, the human body recognition component is set on the bottom surface of the operating table, which helps to reduce the situation where other objects at the operating station block the human body recognition component and the staff, thereby helping to improve the accuracy of the monitoring results of the human body recognition component and the anti-static real-time monitoring system.

[0015] In some embodiments, the human body recognition component is installed in the middle of the operating table, and the human body recognition component performs identification sensing of the staff along the first direction;

[0016] The first direction is a direction along a horizontal plane from one side of the operating table toward one side of the staff activity area.

[0017] Through the anti-static real-time monitoring system based on human body sensing provided by the present application, a human body recognition component is arranged to perform recognition sensing along the horizontal plane from one side of the operating table to the side of the staff activity area, so that the staff can be quickly identified when they enter the operating station, which is convenient for improving the monitoring action sensitivity and the accuracy of the monitoring results of the human body recognition component, and helps to avoid missed monitoring.

[0018] In some embodiments, the human body recognition component is installed in the middle of the operating table near the staff activity area;

[0019] The human body recognition component performs identification sensing of the staff along a second direction, and the second direction is a vertical direction.

[0020] In some embodiments, the human body recognition component is installed at an edge of the operating table close to the staff activity area, and performs staff recognition sensing along the third direction;

[0021] The third direction is the length direction of the edge of the operating table close to the staff activity area.

[0022] The present application provides an anti-static real-time monitoring system based on human body induction. After the staff enters the operating station and sits on the seat of the operating station, their legs are usually placed under the operating table. After the human body recognition component is installed on the bottom surface of the operating table, it is set to perform recognition sensing in the vertical direction or along the length direction of the edge of the operating table close to the staff activity area. By identifying whether there are objects under the operating table, the monitoring of whether there are staff at the operating station is realized; the monitoring principle is simple and the setting is convenient, which helps to reduce the difficulty of setting up the anti-static real-time monitoring system, thereby reducing the cost investment of enterprises in anti-static monitoring.

[0023] At the same time, by identifying whether there are objects under the operating table, it is possible to monitor whether there are workers at the operating station, which helps to reduce monitoring errors caused by people passing by the operating station, and helps to further improve the accuracy of the monitoring results of the anti-static real-time monitoring system.

[0024] In some embodiments, the human body recognition component is configured as an ultrasonic sensor;

[0025] Alternatively, the human body recognition component is configured as an infrared reflection sensor.

[0026] The anti-static real-time monitoring system based on human body induction provided by the present application utilizes the principle of ultrasonic reflection to judge the distance according to the reflection time, and then judges whether there is an obstacle ahead; or utilizes the principle of infrared reflection to judge the distance according to the reflection intensity, and then judges whether there is an obstacle ahead; thereby, the monitoring of whether there are staff at the operating station is realized, the structure is simple, and the setting is convenient, which helps to further reduce the difficulty of deploying the anti-static real-time monitoring system and is beneficial to energy saving and cost reduction for enterprises.

[0027] In some embodiments, the human body recognition component is configured as an infrared radiation sensor.

[0028] Through the human body induction-based anti-static real-time monitoring system provided by the present application, a human body recognition component is set as an infrared counter-radiation sensor, and its signal transmitting end and signal receiving end are arranged in sequence on the bottom wall and the ground of the operating table in the vertical direction, or are arranged in sequence on the two side edges of the operating table along the length direction of the edge of the operating table close to the staff activity area; by judging whether there is an object between the signal transmitting end and the signal receiving end, the presence of staff at the operating station is monitored, the monitoring principle is simple, and the setting is convenient, which helps to further reduce the difficulty of setting up the anti-static real-time monitoring system and further save the company's investment cost in anti-static monitoring.

[0029] In some embodiments, the recognition sensing height of the human recognition component is set to a preset height above the seat surface of the seat at the operating station.

[0030] Through the human body sensing-based anti-static real-time monitoring system provided by the present application, the recognition height of the human body recognition component is set slightly higher than the seat surface height of the chair at the operating station, so as to ensure that the staff is within the recognition range of the human body recognition component regardless of the sitting posture on the seat surface, which helps to further ensure the accuracy of the monitoring results of the human body recognition component.

[0031] In some embodiments, the static alarm, the master controller and the human body recognition component are integrated;

[0032] The main controller and the human body recognition component are both arranged on the static electricity alarm.

[0033] Through the human body sensing-based anti-static real-time monitoring system provided by the present application, the main controller and the human body recognition component are set on the static electricity alarm, which helps to improve the integration of the human body sensing-based anti-static real-time monitoring system, ensure its ease of use, and thus improve the deployment efficiency of the anti-static real-time monitoring system.

[0034] In some embodiments, the human body recognition component and the static electricity alarm are separately provided and connected by a wire.

[0035] The anti-static real-time monitoring system based on human body induction provided by the present application sets the human body recognition component and the static electricity alarm separately. If either of them is damaged, they can be replaced without disassembling the machine, which ensures that the maintenance convenience of the anti-static real-time monitoring system is improved.

[0036] Compared with the prior art, the anti-static real-time monitoring system based on human body induction provided by the present application has at least one of the following beneficial effects:

[0037] 1. The anti-static real-time monitoring system of the present application is based on human body sensing. When there is a staff at the operating station, the static electricity alarm is controlled to perform normal operation. When there is no staff at the operating station, the static electricity alarm suspends working, so that the operating station can be normally anti-static when there is someone, the static electricity alarm does not sound when the staff temporarily leaves the operating station and takes off the static electricity wristband, and the static electricity can be normally anti-static after putting on the static electricity wristband again. The wearing of the static electricity wristband at the operating station is monitored in real time, the accuracy of anti-static monitoring is improved, and product damage caused by staff forgetting to wear static electricity wristbands during production operations is reduced, thereby ensuring the safety and yield of products on the pull line; and effectively improving the convenience of using the anti-static system on the pull line.

[0038] 2. In the present application, by arranging the human body recognition component at the bottom surface of the operating table, and setting the recognition direction of the human body recognition component in the vertical direction or along the length direction of the edge of the operating table close to the staff activity area, the probability of other objects or personnel interfering with the monitoring operation at the operating station and causing monitoring errors is effectively reduced, thereby effectively ensuring the accuracy of the monitoring results of the anti-static real-time monitoring system.

[0039] 3. In this application, ultrasonic sensors, infrared reflective sensors or infrared beam sensors are set as human body recognition components. Since they are standard parts, human body recognition components are easy to obtain, have a simple structure, and are easy to install, which effectively reduces the company's investment cost in anti-static monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The preferred implementation scheme will be described below in a clear and understandable manner with reference to the accompanying drawings to further illustrate the above-mentioned characteristics, technical features, advantages and implementation methods of the present solution.

[0041] Figure 1 This is a state diagram of the embodiment of the present application mainly reflecting the human body recognition component setting the recognition sensing direction along the first direction;

[0042] Figure 2 This is a state diagram of the embodiment of the present application mainly reflecting the human body recognition component setting the recognition sensing direction along the second direction;

[0043] Figure 3This is a state diagram of an embodiment of the present application mainly showing that the human body recognition component is set as an infrared reflection sensor;

[0044] Figure 4 This is a state diagram of the embodiment of the present application mainly showing that the human body recognition component is set as an infrared beam sensor;

[0045] Figure 5 This is a diagram of the sensing viewing angle range of the ultrasonic sensor when the probe is facing downward, which is mainly reflected in the embodiment of the present application.

[0046] Description of reference numerals:

[0047] 1. Static electricity alarm; 2. Human body recognition component; 3. Operating table; 4. Seat. DETAILED DESCRIPTION

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the specific implementation methods of the present application will be described below with reference to the accompanying drawings. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings and other implementation methods can be obtained based on these drawings without creative work.

[0049] In order to simplify the drawings, only the parts related to the present application are schematically shown in each figure, and they do not represent the actual structure of the product. In addition, in order to simplify the drawings and facilitate understanding, in some figures, only one of the parts with the same structure or function is schematically drawn or marked. In this article, "one" not only means "only one", but also means "more than one".

[0050] With the increasing integration of chips in electronic products, it is becoming increasingly important to equip factory wiring with static elimination equipment. At present, in the wiring of factories in related industries, static rings are mainly used to conduct away static electricity from the human body to ensure the production safety of electronic products.

[0051] Usually, workers on the factory pull lines need to wear anti-static wristbands before touching electronic products. However, due to the uneven anti-static awareness of workers, it often happens that they forget to wear anti-static wristbands during production operations, resulting in static electricity risks in the product processing process; in this regard, most manufacturers usually specially appoint supervisors to supervise the wearing of anti-static wristbands on the pull lines. However, due to human subjective initiative, this method has low inspection accuracy, and it is difficult to achieve real-time monitoring and prevent mistakes, so there is room for improvement.

[0052] In one embodiment, referring to the accompanying drawings of the specification Figures 1 to 5, an anti-static real-time monitoring system based on human body induction, including a main controller, an electrostatic alarm 1 electrically connected to the main controller, an electrostatic wristband and a human body recognition component 2. Based on the presence or absence of staff at the operating station, the wearing status of the electrostatic wristband is monitored in real time, and the intelligent monitoring effect of reminding the staff to wear the electrostatic wristband when entering the operating station is achieved, which effectively improves the anti-static effect on the factory wire drawing and improves the production safety of corresponding electronic products.

[0053] In the actual application scenario, each operating station on the factory pull line is equipped with a corresponding static electricity alarm 1 and an static electricity wristband, and a human body recognition component 2 is installed; in specific application, the human body recognition component 2 monitors whether there are staff at the operating station, and feeds back the corresponding monitoring result information to the main controller; after receiving the corresponding monitoring result information, the main controller determines whether there are staff at the operating station.

[0054] If the judgment result is yes, the static electricity alarm 1 is controlled to work normally; for example, for a dual-channel static electricity wristband, the static electricity alarm 1 monitors the wearing condition of the static electricity wristband on the user's wrist through an internal detection circuit, and feeds back the monitoring result to the main controller; after receiving the corresponding monitoring result information, the main controller determines whether the static electricity wristband is in a normal wearing state; if the judgment result is yes, that is, the static electricity wristband is normally grounded, the static electricity alarm 1 is controlled not to alarm; if the judgment result is no, the static electricity alarm 1 is controlled not to alarm.

[0055] If the master controller determines that there is no staff at the operating station (indicating that the operating station is in a non-working state at this time, for example, the staff leaves the operating station for some temporary matter and takes off the anti-static wristband), the control of the electrostatic alarm 1 is to suspend work; at this time, even if the anti-static wristband is not worn, the electrostatic alarm 1 still does not alarm. When the staff returns to the operating station, the human body recognition component 2 immediately identifies the staff at the operating station and feeds back the corresponding monitoring result information to the master controller; after receiving the corresponding monitoring result information, the master controller determines that there is a staff at the operating station, and controls the electrostatic alarm 1 to work normally; the electrostatic alarm 1 detects that the electrostatic wristband is in an abnormal wearing state and immediately alarms, which promotes the staff to wear the electrostatic wristband on their wrists before contacting the product. This method replaces the operation of manually checking the wearing state of the electrostatic wristband one by one in the related technology, with high automation and intelligence levels, and more accurate inspection results; at the same time, since normal monitoring begins as soon as the staff appears at the operating station, the monitoring action is sensitive and timely, which effectively improves the production safety of the corresponding electronic products on the factory line and ensures the yield rate. The following is further explained.

[0056] In one embodiment, based on the above embodiment, referring to Figures 1 to 5, specifically. In actual applications, in order to facilitate the installation of the anti-static system and the use of anti-static wristbands by staff, the factory usually installs an anti-static alarm 1 that is compatible with the anti-static wristband on the pull line below the surface of the operating table 3 on the pull line. The anti-static real-time monitoring system in this embodiment of the present application also includes an operating table 3, and the static alarm 1 is also installed on the bottom surface of the operating table 3; and the human body recognition component 2 is also installed on the bottom surface of the operating table 3 to reduce the occurrence of production materials at the operating station blocking its identification sensing probe, thereby preliminarily ensuring the accuracy of the monitoring results of the anti-static real-time monitoring system.

[0057] In this embodiment of the present application, the human body recognition component 2 is arranged in various ways, which can be selected according to specific layout requirements. Figures 2 to 4 In order to improve the convenience of deploying the anti-static real-time monitoring system, the human body recognition component 2 can be integrated with the static electricity alarm 1 (the main controller is usually arranged in the static electricity alarm 1), so as to improve the integration of the anti-static real-time monitoring system to achieve the effect of improving the deployment efficiency.

[0058] Of course, refer to Figure 1 The human body recognition component 2 and the electrostatic alarm 1 can also be set separately and then electrically connected through wires, etc.; such a setting can be flexibly adjusted according to the actual installation space at the installation station, and if the human body recognition component 2 or the electrostatic alarm 1 is damaged, it is only necessary to repair and replace them separately, and there is no need to disassemble and inspect both of them, so as to facilitate the maintenance of the anti-static real-time monitoring system.

[0059] Furthermore, according to the working state (including standing state and sitting state) of the staff at the operating station, the human body recognition component 2 can be specifically arranged at different positions of the operating table 3.

[0060] For example, when a worker is standing at an operating station in front of the operating table 3, refer to Figure 1 , the human body recognition component 2 can be installed in the middle of the bottom wall of the operating table 3, and its sensing recognition direction is set along the first direction, that is, along the horizontal plane from one side of the operating table 3 to the side of the staff activity area. Under this setting, the staff can be quickly identified when they enter the operating station, and the recognition action is sensitive, which can effectively avoid the situation where the staff is in the operating station but the human body recognition component 2 does not recognize the staff.

[0061] At this time, the human body recognition component 2 can be set in the form of an ultrasonic sensor, an infrared reflective sensor, etc. For example, when an ultrasonic sensor is set as the human body recognition component 2, after the ultrasonic signal transmitter and signal receiver of the ultrasonic sensor are installed in the middle position of the bottom wall of the operating table 3, the direction of its probe can be set along the first direction. Since the ultrasonic signal will be reflected when it encounters the surface of the target object, the ultrasonic receiver receives the reflected ultrasonic signal and converts it into an electrical signal. By measuring the time interval from the emission to the reflection of the ultrasonic signal, the distance between the object and the ultrasonic transmitter can be calculated. By comparing the length of the distance, it can be used to judge whether there is an obstacle, and then to judge whether there is a staff member at the operating station.

[0062] When an infrared reflection sensor is used as the human recognition component 2, the infrared transmitter and the infrared receiver of the infrared reflection sensor are installed in the middle of the bottom wall of the operating table 3, and the probe is set to face the first direction. As is known to all, by using the principle of infrared reflection, the presence or absence of obstacles ahead can be determined based on the comparison result of the intensity of the reflected signal received by the infrared receiver with the preset intensity threshold, thereby realizing the judgment of whether there are staff members at the operating station.

[0063] When the worker is in a sitting position at the operating station, refer to Figure 2 , the sensing and recognition direction of the human body recognition component 2 can be set to the second direction, that is, in the vertical direction; in this case, the human body recognition component 2 needs to be installed on the side of the operating table 3 close to the staff activity area. In this setting, after the staff enters the operating station and sits on the seat 4 of the operating station, their legs are placed under the operating table 3 close to the staff activity area and are recognized by the human body recognition component 2, so that the presence of staff at the operating station can be monitored; this method, compared with the method when the staff is standing and working, can greatly reduce the monitoring error caused by the passing of people at the operating station, which helps to further improve the accuracy of the monitoring results of the anti-static real-time monitoring system.

[0064] At this time, the human body recognition component 2 can be set in the form of an ultrasonic sensor, an infrared reflection sensor, etc. Figure 5 , the actual sensing recognition angle that needs to be set can be calculated through the formula, thereby guiding the device selection. The calculation formula is: And h2 = h1 + h3 (4), where S1 is the width occupied by the operator, h1 is the distance from the sensor to the operator 1. S2 is the distance between the signal transmitter Tx and the signal receiver Rx, and h2 + h3 = h1.

[0065] Of course, an infrared sensor can also be set as the human body recognition component 2; in this case, refer to Figure 2 , it is necessary to set the signal transmitting end and signal receiving end of the infrared beam sensor respectively on the bottom wall of the operating table 3 and the bottom surface directly below.

[0066] Of course, if the staff is working in a sitting position, refer to Figure 3 and Figure 4 , the human body recognition component 2 can also be installed at the edge of one side or both sides of the bottom wall of the operating table 3 close to the staff activity area, and the sensing and recognition direction of the human body recognition component 2 is set along the third direction, which is parallel to the length direction of the edge of the operating table 3 close to the staff activity area. In this setting, after the staff enters the operating station and sits on the seat 4 of the operating station, the human body recognition component 2 recognizes the staff's legs from the side, thereby realizing the monitoring of whether there is a staff at the operating station.

[0067] At this time, the human body recognition component 2 can be set as an infrared reflection sensor and an infrared beam sensor. Of course, it is also possible to combine camera shooting, use TOF ranging technology, laser ranging technology, microwave ranging technology, StructuredLight method ranging, etc. to achieve monitoring of whether there are staff at the operating station. In this embodiment of the present application, this will not be described in detail one by one.

[0068] It is particularly noteworthy that when the staff is working in a sitting state, the recognition height of the human body recognition component 2 needs to be set slightly higher than the height of the seat surface of the seat 4 at the operating station, that is, the recognition sensing height of the human body recognition component 2 is set to a preset height above the seat surface of the seat 4 at the operating station. In this way, it can be ensured that the staff can be stably recognized by the human body recognition component 2 regardless of their sitting posture, thereby further improving the accuracy of the monitoring results of the anti-static real-time monitoring system.

[0069] In this way, ultrasonic ranging technology, infrared reflection ranging technology, and infrared beam ranging technology are used to identify the staff at the operating station, and the wearing status of the anti-static wristband is monitored in real time based on the presence or absence of staff at the operating station, so that the staff is reminded to wear the anti-static wristband as soon as they enter the operating station, effectively improving the timeliness of anti-static monitoring actions and the accuracy of monitoring results, thereby effectively improving the production safety of electronic products on the factory drawing line and ensuring the yield of electronic products.

[0070] It should be noted that the above embodiments can be freely combined as needed. The above is only the preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be regarded as the protection scope of the present application.

Claims

1. A real-time anti-static monitoring system based on human body induction, characterized in that: include: Master controller; A static electricity alarm and a static electricity wristband, wherein the static electricity alarm is adapted to the static electricity wristband, and the static electricity alarm, the static electricity wristband and the master controller are all electrically connected; A human body recognition component is electrically connected to the main controller, and is used to monitor whether there are staff at the operating station, and feed back the monitoring result information to the main controller; after receiving the corresponding monitoring result information, the main controller determines whether there are staff at the operating station; if the judgment result is yes, the static electricity alarm is controlled to work normally, and the static electricity alarm monitors the wearing condition of the static electricity bracelet on the user's wrist; if the judgment result is no, the static electricity alarm is controlled to suspend work.

2. The anti-static real-time monitoring system based on human body induction according to claim 1 is characterized in that: It also includes an operating table, and the human body recognition component is installed on the bottom surface of the operating table.

3. The anti-static real-time monitoring system based on human body induction according to claim 2 is characterized in that: The human body recognition component is installed at the middle position of the operating table, and the human body recognition component performs recognition sensing of the staff along the first direction; The first direction is a direction along a horizontal plane from one side of the operating table toward one side of the staff activity area.

4. The anti-static real-time monitoring system based on human body induction according to claim 2 is characterized in that: The human body recognition component is installed in the middle position of the operating table on one side close to the staff activity area; The human body recognition component performs identification sensing of the staff along a second direction, and the second direction is a vertical direction.

5. The anti-static real-time monitoring system based on human body induction according to claim 2 is characterized in that: The human body recognition component is installed at the edge of the operating table close to the staff activity area, and performs staff recognition sensing along the third direction; The third direction is the length direction of the edge of the operating table close to the staff activity area.

6. A real-time anti-static monitoring system based on human body induction according to any one of claims 3 to 5, characterized in that: The human body recognition component is configured as an ultrasonic sensor; Alternatively, the human body recognition component is configured as an infrared reflection sensor.

7. The anti-static real-time monitoring system based on human body induction according to any one of claims 4 or 5, characterized in that: The human body recognition component is configured as an infrared radiation sensor.

8. The anti-static real-time monitoring system based on human body induction according to any one of claims 3 to 5, characterized in that: The recognition sensing height of the human body recognition component is set to a preset height above the seat surface of the seat at the operating station.

9. The anti-static real-time monitoring system based on human body induction according to claim 1 is characterized in that: The static electricity alarm, the master controller and the human body recognition component are integrated; The main controller and the human body recognition component are both arranged on the static electricity alarm.

10. The anti-static real-time monitoring system based on human body induction according to claim 1 is characterized in that: The human body recognition component and the static electricity alarm are arranged separately and connected by a wire.

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