CN116736777B - Intelligent monitoring system and method for detecting worker to remove anti-static wristband - Google Patents
Intelligent monitoring system and method for detecting worker to remove anti-static wristband Download PDFInfo
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- CN116736777B CN116736777B CN202310891415.1A CN202310891415A CN116736777B CN 116736777 B CN116736777 B CN 116736777B CN 202310891415 A CN202310891415 A CN 202310891415A CN 116736777 B CN116736777 B CN 116736777B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000001514 detection method Methods 0.000 claims description 44
- 230000009471 action Effects 0.000 claims description 33
- 210000000707 wrist Anatomy 0.000 claims description 21
- 210000004247 hand Anatomy 0.000 claims description 10
- 230000006698 induction Effects 0.000 claims description 10
- 230000000007 visual effect Effects 0.000 claims description 10
- 238000000926 separation method Methods 0.000 claims description 9
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- 238000004590 computer program Methods 0.000 claims description 5
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The application belongs to the technical field of intelligent management systems, and particularly relates to an intelligent monitoring system and method for detecting whether a worker removes an anti-static bracelet.
Description
Technical Field
The application belongs to the technical field of intelligent management systems, and particularly relates to an intelligent monitoring system and method for detecting removal of an anti-static bracelet by a worker.
Background
The antistatic hand-strap is a human body static eliminating tool widely applied to various factories. The portable electrostatic discharge device is simple in structure, convenient to wear and capable of providing a good elimination channel for human static electricity. The accurate use can effectively reduce the damage of human static electricity to static sensitive products, and is an important means for ensuring the quality of the products. However, in real production operations, it is often the case that the antistatic wristband is not worn or the wristband is deliberately removed during operation, due to the slight awareness of some workers. In addition, many workers are distributed at different stations, and daily management of a factory can only be realized through spot check and inspection of management staff, and the spot check cannot be corrected in time, so that management work is difficult and production safety hazards are caused.
In order to solve the problems, the improvement and upgrading of the intelligent factory provides an automatic monitoring system, the system monitors and alarms the effective use of the antistatic hand-strap by detecting whether the antistatic hand-strap is connected or disconnected on any station in real time, and utilizes the principle of the self capacitance of the human body, only qualitatively measures whether the human body contacts with the wrist strap electrode so as to infer whether a person wears the wrist strap, the mode has a high misjudgment probability (such as the wrist strap electrode contacts with other articles which are not human skin, and the wrist strap electrode can also judge that the person wears the wrist strap normally), and the like, and the system cannot judge whether the action of picking the hand-strap exists in the working process of the worker, so that the daily management of enterprises is not facilitated.
Disclosure of Invention
The application aims to provide an intelligent monitoring method, an intelligent monitoring system and a storage medium for detecting that workers remove anti-static bracelets, so as to solve the problems.
The technical scheme adopted by the application is as follows:
on the one hand, an intelligent monitoring system for detecting that workers remove anti-static bracelets is provided, which comprises a main control device, a timer, an image recognition device, a distance detection device, a gesture recognition device, a snap fastener opening and closing detection device, an electrode contact sensing device, a human body sensing recognition device and an alarm device, wherein the timer, the image recognition device, the distance detection device, the gesture recognition device, the snap fastener opening and closing detection device, the electrode contact sensing device, the human body sensing recognition device and the alarm device are respectively electrically connected with the main control device.
Further, the timer is used for acquiring current time node data;
the image recognition device is used for acquiring the operation behavior of workers at stations in the current time node;
the distance detection device is used for obtaining the distance between the hand of the worker and the hand ring belt;
the gesture recognition device is used for acquiring action data of hands of workers;
the snap fastener opening and closing detection device acquires the opening and closing state of a snap fastener on the bracelet belt;
the electrode contact sensing device is used for acquiring the contact state of the electrode and the skin of the human body;
the human body induction recognition device is used for acquiring whether a worker continues to work on a station under the condition that the wrist strap is picked;
the alarm device is used for giving out an audible and visual alarm and sending an alarm prompt to a manager under the condition that the system judges whether a worker is picking up the wrist strap or not and the station continues to work.
Further, the main control device controls the timer and the image recognition device to be normally open;
the main control device controls the distance detection device, the gesture recognition device, the snap fastener opening and closing detection device, the electrode contact sensing device, the human body sensing recognition device and the alarm device to be normally closed.
On the other hand, the intelligent monitoring method for detecting the removal of the anti-static bracelet by a worker comprises the following steps:
step 1: acquiring current time node data and station image data, judging whether the current time node belongs to a working time period and whether a worker is working, and if the judgment results are that the next step is executed, starting a monitoring program by the system;
step 2: acquiring the distance between the hand of the worker and the bracelet, if the distance is smaller than a set threshold value, judging that the first-level risk of picking the electrostatic bracelet exists, and executing the next step;
step 3: acquiring action data of the hands of the workers, if the action data accords with the action type of picking up the bracelet, judging that the secondary risk of picking up the electrostatic bracelet exists, and executing the next step;
step 4: acquiring the opening and closing states of snap fasteners on the bracelet belt, if the snap fasteners are in the opening state, judging that three-level risks of picking up the electrostatic bracelet exist, and executing the next step;
step 5: acquiring whether the electrode is in contact with the skin of the human body, if the electrode is in a separation state, and the separation time is longer than the set time range, judging that the action of removing the anti-static bracelet exists in the working time period, and executing the next step;
step 6: and acquiring whether a worker continues to operate at the station under the condition of picking the wrist strap, if so, judging that the electrostatic safety risk exists, recording the behavior data by the system, sending an audible and visual alarm through an alarm device, and sending an alarm prompt to a manager.
Further, when the timer and the image recognition device detect that a worker is in a normal operation state on a station in a working time period, the main control device controls the distance detection device to be started;
when the distance detection device detects that the distance between the hand of the worker and the bracelet belt is smaller than a set threshold value, the main control device controls the gesture recognition device to be started;
when the gesture recognition device detects that the action data of the hands of the workers accords with the action type of picking up the bracelet, the main control device controls the snap fastener opening and closing detection device and the electrode contact sensing device to be simultaneously opened;
when the snap fastener opening and closing detection device and the electrode contact sensing device simultaneously detect that the snap fastener on the bracelet belt is in an opening state and the electrode is in a separation state when contacting with the skin of a human body, the main control device controls the human body sensing recognition device to be opened;
when the human body induction recognition device detects that whether a worker is picking up the wrist strap or not and the work station continues to work, the main control device controls the alarm device to be started; the system records the behavior data, sends out audible and visual alarm through the alarm device, and sends out alarm prompt to the manager.
In yet another aspect, a storage medium is provided, on which is stored a computer program that, when executed, performs an intelligent monitoring method for detecting the removal of an anti-static bracelet by a worker.
In summary, due to the adoption of the technical scheme, the beneficial effects of the application are as follows:
the application has the beneficial effects that in the technical scheme, through the cooperation among the timer, the image recognition device, the distance detection device, the gesture recognition device, the snap fastener opening and closing detection device, the electrode contact sensing device, the human body sensing recognition device and the alarm device, whether the action of deliberately picking up the bracelet exists in the operation process of a worker can be judged, and further, the rule violation is effectively monitored, recorded and alarmed, so that an enterprise can discover the action risk in time, and the daily management of the enterprise is facilitated. Drawings
The application will now be described by way of example and with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of an intelligent monitoring method for detecting that a worker removes an anti-static bracelet in the application;
FIG. 2 is a schematic diagram of an intelligent monitoring system for detecting removal of an anti-static bracelet by a worker in the application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
In describing embodiments of the present application, it should be noted that the terms "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. refer to an azimuth or a positional relationship based on that shown in the drawings, or that the inventive product is conventionally put in place when used, merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific azimuth, be configured and operated in a specific azimuth, and thus should not be construed as limiting the present application. Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
The present application will be described in detail with reference to fig. 1 to 2.
An intelligent monitoring method for detecting that a worker removes an anti-static bracelet, referring to fig. 1 and 2, comprises the following steps:
step 1: since there is no risk of behaviour as long as the electrostatic wristband is not worn during the operation. Firstly, judging the working state of personnel on a current station and whether the working state belongs to a working time period, respectively acquiring current time node data and station image data through a corresponding timer and an image recognition device, wherein the timer can be selected by taking the working card punching time of the personnel as a starting point of the working time period and taking the working card punching time as an ending point of the working time period, wherein the personnel leave the working table temporarily without a false, and can be recognized as a non-working state; the image recognition device is used for recognizing the portrait in the image through the image collected by the camera and an image recognition algorithm in the main control device so as to judge whether a worker is working or not; through the method, whether the current time node belongs to a working time period and whether a worker is working can be judged, if so, the next step is executed, and the system starts a monitoring program;
step 2: if a worker deliberately removes the electrostatic bracelet in the working process, complete monitoring cannot be realized by only one image recognition, and because the bracelet can be blocked by a tabletop or other objects, whether the bracelet falls off or not can be judged only by the contact of the detection electrode and the skin, and the conventional scheme cannot recognize whether the worker takes the bracelet or not in the working process; according to the application, the distance between the hand of the worker and the bracelet can be obtained through the distance detection device, and optionally, the distance detection device is a distance sensor, if the distance is smaller than a set threshold value, the first-level risk of picking the electrostatic bracelet is judged, and the next step is executed; the first-level risk is that the action of picking up the bracelet cannot be directly confirmed through the step, and the action is set as the first-level risk action because the situation that the hands are close to each other possibly causes misjudgment in daily activities.
Step 3: when the distance between the hand and the bracelet is smaller than the threshold value, the gesture recognition device can acquire the action data of the hand of the worker, the action data is compared with action types for picking up the bracelet in the database, if the action data is matched with the action types, the fact that the staff possibly takes down the bracelet can be confirmed, the staff is judged to have secondary risk for picking up the electrostatic bracelet, and the next step is executed; the secondary risk is that only the staff can be confirmed to possibly take down the bracelet through the step, but the picking action cannot be judged to be established;
step 4: the open-close state of the snap fastener on the bracelet is obtained through a snap fastener open-close detection device, optionally, the snap fastener open-close detection device is an electromagnetic induction device arranged at the joint of the snap fastener, if the snap fastener is in the open state, the risk of picking up the electrostatic bracelet is judged to be three-level, and the next step is executed; the three-level risk is that only the staff can be confirmed to possibly take down the wrist strap through the step, and the positions and the tightness of the wrist strap can be adjusted, but the picking action cannot be judged to be established;
step 5: acquiring whether the electrode is in contact with the skin of the human body or not through the electrode contact sensing device, if the electrode is in a separation state, and the separation time is longer than the set time range, judging that the action of removing the anti-static bracelet exists in the working time period, and judging whether the worker is at risk of continuing to work under the condition of not wearing the anti-static bracelet or not when the action is established;
step 6: and under the condition that whether a worker is picking up the wrist strap or not is obtained through the human body induction recognition device, the operation is continued at the station, if so, the existence of electrostatic safety risks is judged, the system records the behavior data, and an audible and visual alarm is sent out through the alarm device, and an alarm prompt is sent to a manager.
Further, the intelligent monitoring method is implemented based on an intelligent monitoring system, referring to fig. 2, the system includes: the main control device is electrically connected with the timer, the image recognition device, the distance detection device, the gesture recognition device, the snap fastener opening and closing detection device, the electrode contact sensing device, the human body sensing recognition device and the alarm device respectively.
Through the method, accurate and unique judgment can be made on the condition that a worker deliberately picks the electrostatic hand-strap and continues to operate in the operation process, and the method records and gives an alarm in real time, thereby being beneficial to reducing the production risk of enterprises and standardizing management.
Further, the timer is used for acquiring current time node data;
the image recognition device is used for acquiring the operation behavior of workers at stations in the current time node;
the distance detection device is used for obtaining the distance between the hand of the worker and the hand ring belt;
the gesture recognition device is used for acquiring action data of hands of workers;
the snap fastener opening and closing detection device acquires the opening and closing state of a snap fastener on the bracelet belt;
the electrode contact sensing device is used for acquiring the contact state of the electrode and the skin of the human body;
the human body induction recognition device is used for acquiring whether a worker continues to work on a station under the condition that the wrist strap is picked;
the alarm device is used for giving out an audible and visual alarm and sending an alarm prompt to a manager under the condition that the system judges whether a worker is picking up the wrist strap or not and the station continues to work.
Further, the main control device controls the timer and the image recognition device to be normally open;
the main control device controls the distance detection device, the gesture recognition device, the snap fastener opening and closing detection device, the electrode contact sensing device, the human body sensing recognition device and the alarm device to be normally closed.
Further, when the timer and the image recognition device detect that a worker is in a normal operation state on a station in a working time period, the main control device controls the distance detection device to be started;
when the distance detection device detects that the distance between the hand of the worker and the bracelet belt is smaller than a set threshold value, the main control device controls the gesture recognition device to be started;
when the gesture recognition device detects that the action data of the hands of the workers accords with the action type of picking up the bracelet, the main control device controls the snap fastener opening and closing detection device and the electrode contact sensing device to be simultaneously opened;
when the snap fastener opening and closing detection device and the electrode contact sensing device simultaneously detect that the snap fastener on the bracelet belt is in an opening state and the electrode is in a separation state when contacting with the skin of a human body, the main control device controls the human body sensing recognition device to be opened;
when the human body induction recognition device detects that whether a worker is picking up the wrist strap or not and the work station continues to work, the main control device controls the alarm device to be started; the system records the behavior data, sends out audible and visual alarm through the alarm device, and sends out alarm prompt to the manager.
It should be understood that although described in a certain order, the steps are not necessarily performed sequentially in the order described. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, some steps of the present embodiment may include a plurality of steps or stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily sequential, but may be performed alternately or alternately with at least a part of the steps or stages in other steps or other steps.
In another aspect of the present application, an intelligent monitoring system for detecting removal of an anti-static bracelet by a worker is provided, for implementing an intelligent monitoring method for detecting removal of an anti-static bracelet by a worker as described above, referring to fig. 2, the system includes: the main control device is electrically connected with the timer, the image recognition device, the distance detection device, the gesture recognition device, the snap fastener opening and closing detection device, the electrode contact sensing device, the human body sensing recognition device and the alarm device respectively.
The timer is used for acquiring current time node data;
the image recognition device is used for acquiring the operation behavior of workers at stations in the current time node;
the distance detection device is used for obtaining the distance between the hand of the worker and the hand ring belt;
the gesture recognition device is used for acquiring action data of hands of workers;
the snap fastener opening and closing detection device acquires the opening and closing state of a snap fastener on the bracelet belt;
the electrode contact sensing device is used for acquiring the contact state of the electrode and the skin of the human body;
the human body induction recognition device is used for acquiring whether a worker continues to work on a station under the condition that the wrist strap is picked;
the alarm device is used for giving out an audible and visual alarm and sending an alarm prompt to a manager under the condition that the system judges whether a worker is picking up the wrist strap or not and the station continues to work.
A storage medium having stored thereon a computer program which when executed performs an intelligent monitoring method of detecting a worker removing an anti-static bracelet as described above.
The storage medium is stored with a computer program, the computer program executes the intelligent monitoring method for detecting that a worker removes the anti-static hand ring when being run, and the storage medium is solidified with an application program.
The non-volatile memory may include read-only memory, magnetic tape, floppy disk, flash memory, optical memory, etc. Volatile memory can include random access memory or external cache memory. By way of illustration, and not limitation, RAM can take many forms, such as static random access memory or dynamic random access memory.
It should be noted that, in the present application, the application is intended to protect the whole detection worker from picking up the antistatic bracelet, and each functional module, software and hardware related in the technical scheme are all the prior art, and can be implemented by those skilled in the art according to the description of the prior art, so that the description is omitted.
It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (3)
1. An intelligent monitoring method for detecting an anti-static bracelet removed by a worker is characterized by comprising the following steps:
step 1: acquiring current time node data and station image data, judging whether the current time node belongs to a working time period and whether a worker is working, and if the judgment results are that the next step is executed, starting a monitoring program by the system;
step 2: acquiring the distance between the hand of the worker and the bracelet, if the distance is smaller than a set threshold value, judging that the first-level risk of picking the electrostatic bracelet exists, and executing the next step;
step 3: acquiring action data of the hands of the workers, if the action data accords with the action type of picking up the bracelet, judging that the secondary risk of picking up the electrostatic bracelet exists, and executing the next step;
step 4: acquiring the opening and closing states of snap fasteners on the bracelet belt, if the snap fasteners are in the opening state, judging that three-level risks of picking up the electrostatic bracelet exist, and executing the next step;
step 5: acquiring whether the electrode is in contact with the skin of the human body, if the electrode is in a separation state, and the separation time is longer than the set time range, judging that the action of removing the anti-static bracelet exists in the working time period, and executing the next step;
step 6: acquiring whether a worker continues to operate at a station under the condition of picking the wrist strap, if so, judging that the electrostatic safety risk exists, recording the behavior data by the system, sending an audible and visual alarm through an alarm device, and sending an alarm prompt to a manager;
the intelligent monitoring method for detecting the worker removing the anti-static bracelet is realized based on an intelligent monitoring system for detecting the worker removing the anti-static bracelet, and the intelligent monitoring system for detecting the worker removing the anti-static bracelet comprises a main control device, a timer, an image recognition device, a distance detection device, a gesture recognition device, a snap button opening and closing detection device, an electrode contact induction device, a human body induction recognition device and an alarm device which are electrically connected with the main control device respectively;
the timer is used for acquiring current time node data;
the image recognition device is used for acquiring the operation behavior of workers at stations in the current time node;
the distance detection device is used for obtaining the distance between the hand of the worker and the hand ring belt;
the gesture recognition device is used for acquiring action data of hands of workers;
the snap fastener opening and closing detection device acquires the opening and closing state of a snap fastener on the bracelet belt;
the electrode contact sensing device is used for acquiring the contact state of the electrode and the skin of the human body;
the human body induction recognition device is used for acquiring whether a worker continues to work on a station under the condition that the wrist strap is picked;
the alarm device is used for sending out an audible and visual alarm and sending an alarm prompt to a manager under the condition that the system judges that a worker picks up the wrist strap and the station continues to operate;
the main control device controls the timer and the image recognition device to be normally open;
the main control device controls the distance detection device, the gesture recognition device, the snap fastener opening and closing detection device, the electrode contact sensing device, the human body sensing recognition device and the alarm device to be normally closed.
2. The intelligent monitoring method for detecting the removal of an anti-static bracelet by a worker according to claim 1, wherein,
when the timer and the image recognition device detect that a worker is in a normal operation state on a station in a working time period, the main control device controls the distance detection device to be started;
when the distance detection device detects that the distance between the hand of the worker and the bracelet belt is smaller than a set threshold value, the main control device controls the gesture recognition device to be started;
when the gesture recognition device detects that the action data of the hands of the workers accords with the action type of picking up the bracelet, the main control device controls the snap fastener opening and closing detection device and the electrode contact sensing device to be simultaneously opened;
when the snap fastener opening and closing detection device and the electrode contact sensing device simultaneously detect that the snap fastener on the bracelet belt is in an opening state and the electrode is in a separation state when contacting with the skin of a human body, the main control device controls the human body sensing recognition device to be opened;
when the human body induction recognition device detects that a worker is picking up the wrist strap, and the work station continues to work, the main control device controls the alarm device to be started; the system records the behavior data, sends out audible and visual alarm through the alarm device, and sends out alarm prompt to the manager.
3. A storage medium having stored thereon a computer program which when executed performs an intelligent monitoring method of detecting a worker's removal of an anti-static bracelet according to any one of claims 1-2.
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| CN202310891415.1A CN116736777B (en) | 2023-07-20 | 2023-07-20 | Intelligent monitoring system and method for detecting worker to remove anti-static wristband |
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