CN113098948B - Disinfection control method and system for face mask detection - Google Patents

Disinfection control method and system for face mask detection Download PDF

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Publication number
CN113098948B
CN113098948B CN202110328193.3A CN202110328193A CN113098948B CN 113098948 B CN113098948 B CN 113098948B CN 202110328193 A CN202110328193 A CN 202110328193A CN 113098948 B CN113098948 B CN 113098948B
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disinfection
module
epidemic prevention
picture
mask
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CN113098948A (en
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缪文南
朱俊杰
李征
肖仕钊
王亿豪
李梦涵
陈隆峰
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Guangzhou College of South China University of Technology
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Guangzhou College of South China University of Technology
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61L—METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
    • A61L2/00—Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor
    • A61L2/16—Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor using chemical substances
    • A61L2/18—Liquid substances or solutions comprising solids or dissolved gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61L—METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
    • A61L2/00—Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor
    • A61L2/24—Apparatus using programmed or automatic operation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61L—METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
    • A61L2/00—Methods or apparatus for disinfecting or sterilising materials or objects other than foodstuffs or contact lenses; Accessories therefor
    • A61L2/26—Accessories or devices or components used for biocidal treatment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61L—METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
    • A61L2202/00—Aspects relating to methods or apparatus for disinfecting or sterilising materials or objects
    • A61L2202/10—Apparatus features
    • A61L2202/14—Means for controlling sterilisation processes, data processing, presentation and storage means, e.g. sensors, controllers, programs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61L—METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
    • A61L2202/00—Aspects relating to methods or apparatus for disinfecting or sterilising materials or objects
    • A61L2202/10—Apparatus features
    • A61L2202/16—Mobile applications, e.g. portable devices, trailers, devices mounted on vehicles
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • 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
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

A disinfection control method and a system for detecting a face mask relate to the technical field of remote monitoring control. The WeChat applet performs control operation on the disinfection detection epidemic prevention robot in a theme release mode, the theme is a character with a mark, after the WeChat applet releases the character through an MQTT protocol, the disinfection detection epidemic prevention robot can search the character and interpret a control instruction represented by the character, the disinfection detection epidemic prevention robot performs corresponding operation on the control instruction, the theme release and the theme receiving can be realized, the concurrent control of the operation instruction is realized, and the flexibility of the disinfection detection epidemic prevention robot is improved. When the disinfection detection epidemic prevention robot receives a disinfection instruction, the disinfection treatment is carried out on the surrounding environment, and because the control instruction is executed concurrently, the instruction of shooting and acquiring the picture cannot disappear, the current picture can be continuously acquired, and the effect of checking and disinfecting at the same time is achieved.

Description

Disinfection control method and system for face mask detection
Technical Field
The invention relates to the technical field of remote monitoring control, in particular to a disinfection control method and a disinfection control system for detecting a face mask.
Background
With the vigorous development of wireless mobile communication networks, the remote monitoring technology based on the mobile communication networks is increasingly applied, and the engineering machinery remote monitoring system can be far away from the site to remotely monitor, diagnose faults, remotely manage, remotely monitor and the like the engineering machinery distributed nationwide, so that the engineering machinery remote monitoring system becomes a hot spot for research and application. Besides the functions of acquiring monitoring pictures and the like, the remote control is also of great practical value and significance by utilizing the wireless data transmission channel of the mobile communication network, for example, the remote supervision control of equipment is realized, and the control command is transmitted through the data channel, so that the monitoring equipment can move the monitoring equipment to acquire rotating monitoring pictures, acquire more picture data with different visual angles, and achieve the effect of more comprehensive and safer monitoring.
Along with the development of technology, remote control is more developed, and control software of a plurality of mobile terminals appears, but when the software is used, video transmission uses video push flow, various environments need to be built, the configuration is complicated, and when the control range of a program exceeds a certain limit, the control has high delay, the monitoring of real-time pictures cannot be achieved, the ultra-long-distance control cannot be realized, and the like. And after detecting the related bad environmental factors, the detection robots of some disinfection devices can realize corresponding disinfection work to clean the environment. However, due to the drawbacks of the remote control software, the detection robot of the disinfection device cannot be truly utilized.
Disclosure of Invention
The invention aims to provide a disinfection control method and a disinfection control system for detecting a face mask.
To achieve the purpose, the invention adopts the following technical scheme: a sterilization control method for a face mask, the control method being deployed in a sterilization system for the face mask, the sterilization system for the face mask comprising: the control method of the disinfection detection epidemic prevention robot comprises the following steps:
step A: a WeChat applet automatically reads the user WeChat;
and (B) step (B): the WeChat applet sends a connection request of the disinfection detection epidemic prevention robot to an information agent, the information agent judges whether the connection with the disinfection detection epidemic prevention robot is successful, if so, the step C is carried out, and if the connection is failed, the step B is repeated;
step C: the WeChat applet distributes a theme to a disinfection detection epidemic prevention robot, requests the disinfection detection epidemic prevention robot to subscribe the theme, the disinfection detection epidemic prevention robot subscribes the theme according to the request and executes the theme content, and feeds back information to an information agent according to the execution result, wherein the theme content comprises the following components: shooting, moving and sterilizing;
step D: the method comprises the steps that a WeChat applet receives feedback information sent by an information agent, wherein the feedback information comprises a shooting picture and an identification result, the information agent judges whether the accumulated number of the identification result is larger than a threshold value in a judging period according to the identification result, if so, the information agent sends a prompt to the WeChat applet for disinfection treatment, and the identification result is whether a person does not wear a mask in the shooting picture.
Further, the information agent is a combination of an object store and a cloud computing platform.
Further, step B includes:
step B1: the WeChat applet is connected with the information agent through an MQTT communication protocol;
step B2: the WeChat applet acquires user information of a user, wherein the user information comprises a user domain name, a user name and a password, and the user information is sent to the cloud computing platform for verification;
step B3: and B2-B3, comparing the verification information with the user information through pre-storing, and if the verification information is matched with the user information, electrically connecting the WeChat applet with the disinfection detection epidemic prevention robot through an MQTT communication protocol, and if the verification information is not matched with the user information, repeating the steps.
Further, the step D of obtaining feedback information of the current picture includes the steps of:
step D1: the WeChat applet requests the disinfection detection epidemic prevention robot to shoot and acquire the current shooting picture, and the shooting picture at the speed of 30ms exists in the image memory;
step D2: the WeChat applet acquires the URL address of the object memory, requests to acquire the picture of the URL address at 30ms timing, and the object memory converts the picture acquired by the URL address into a format of Base 64.
Further, judging whether the cumulative number of the recognition results is greater than the threshold value in one judgment period includes the steps of:
step D3: the information agent acquires the shooting picture in the step D2, and adopts a PyramidBox face recognition algorithm to recognize the shooting picture and detect the face in the shooting picture;
step D4: the information agent adopts a PyramidBox mask recognition algorithm to recognize the face in the step D3, detects whether the face is provided with a mask or not, and records the times of the person who does not wear the mask;
step D5: and D3-D4, the cloud computing platform judges whether the number of times of not wearing the mask in one judging period is larger than a threshold value, if so, the information agent reminds the WeChat applet to carry out disinfection treatment, and resets the judging period.
The invention also provides a disinfection system for detecting the face mask, and the disinfection control method for detecting the face mask comprises a communication module, a disinfection detection epidemic prevention robot and an information agent module;
the communication module is electrically connected with the disinfection detection epidemic prevention robot through the information agent module and is used for sending shooting, disinfection and moving instructions to the disinfection detection epidemic prevention robot;
the disinfection detection epidemic prevention robot is used for shooting a current monitored picture, performing disinfection treatment and sending the monitored picture to the communication module through the information agent module;
the information agent module comprises an object memory module and a cloud computing platform module, wherein the object memory module is used for storing a monitoring picture shot by the disinfection detection epidemic prevention robot, the cloud computing platform is used for computing the number of people who do not wear the mask in the monitoring picture stored by the object memory module, and if the number of people who do not wear the mask exceeds a threshold value, disinfection reminding information is generated to the communication module.
Further, the communication module comprises a verification module, wherein the verification module is used for or transmitting the user domain name, the user name and the password of the current user to the cloud computing platform module for verification, and judging whether the communication module accords with the use condition.
Further, the communication module comprises a picture acquisition module, wherein the picture acquisition module is used for sending a shooting instruction to the disinfection detection epidemic prevention robot and acquiring a monitoring picture from the image memory module through a URL address.
Further, the cloud computing platform module comprises a face recognition module, a mask recognition module and a judgment module;
the face recognition module is used for acquiring the picture of the object memory module and judging whether a face exists or not;
the mask identification module is used for further judging whether the face wears the mask according to the result identified by the face identification module and recording the number of people who wear the mask;
the judging module is used for judging whether the number of people who wear the mask is greater than a threshold value in one period, and if so, sending a disinfection prompt to the communication module.
The invention has the beneficial effects that: 1. the invention uses the WeChat applet to replace the existing software to remotely control the monitoring equipment, the WeChat applet is different from the original WeChat applet to a certain extent, the WeChat applet is developed based on the mpvue architecture of the American group open source, the compatibility of the HTML5 and the original WeChat applet is solved, the basic grammar familiar with Vue. Js can be developed, the problems of componentization development, multi-terminal code multiplexing and the like are better solved, and the compatibility of the WeChat applet in the invention is improved.
2. The picture shot by the disinfection detection epidemic prevention robot is uploaded to an OSS storage barrel, the cloud computing product table can acquire the picture in the OSS storage barrel, the face in the picture is identified through an internal integrated algorithm, the number of times of people who wear no mask in a judging period is judged, when the number of times reaches a threshold value, a process for reminding disinfection is sent to a WeChat applet, and the process can be reminded in a voice or text mode.
Drawings
FIG. 1 is a general flow chart of a sterilization detection control method for detecting a face mask in the present invention;
fig. 2 is a flowchart of a step B of a sterilization detection control method for detecting a face mask according to the present invention;
FIG. 3 is a flowchart showing the steps of acquiring feedback information of a current picture by a sterilization detection control method for detecting a face mask according to the present invention;
FIG. 4 is a flowchart showing a method for controlling the sterilization of a mask for detecting a face in accordance with the present invention, wherein the method comprises determining whether the cumulative number of recognition results is greater than a threshold value during a determination period;
fig. 5 is a block diagram of a sterilizing system for detecting a face mask according to the present invention;
FIG. 6 is a schematic structural view of a disinfection detection epidemic prevention robot in the present invention;
FIG. 7 is a front view of the construction of the sterilization inspection epidemic prevention robot in the present invention;
fig. 8 is a message interaction diagram of a sterilization control method for detecting a face mask according to the present invention.
Wherein: camera 1, processor 2, shower nozzle 3, gyro wheel 4, water storage jar 5.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element in question must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
As shown in fig. 1 to 7, a method for controlling disinfection of a face mask, the method being deployed in a disinfection system for a face mask, the disinfection system for a face mask comprising: the control method of the disinfection detection epidemic prevention robot comprises the following steps:
step A: a WeChat applet automatically reads the user WeChat;
and (B) step (B): the WeChat applet sends a connection request of the disinfection detection epidemic prevention robot to an information agent, the information agent judges whether the connection with the disinfection detection epidemic prevention robot is successful, if so, the step C is carried out, and if the connection is failed, the step B is repeated;
step C: the WeChat applet distributes a theme to a disinfection detection epidemic prevention robot, requests the disinfection detection epidemic prevention robot to subscribe the theme, the disinfection detection epidemic prevention robot subscribes the theme according to the request and executes the theme content, and feeds back information to an information agent according to the execution result, wherein the theme content comprises the following components: shooting, moving and sterilizing;
step D: the method comprises the steps that a WeChat applet receives feedback information sent by an information agent, wherein the feedback information comprises a shooting picture and an identification result, the information agent judges whether the accumulated number of the identification result is larger than a threshold value in a judging period according to the identification result, if so, the information agent sends a prompt to the WeChat applet for disinfection treatment, and the identification result is whether a person does not wear a mask in the shooting picture.
The invention uses the WeChat applet to replace the existing software to remotely control the monitoring equipment, the WeChat applet is different from the original WeChat applet to a certain extent, the WeChat applet is developed based on the mpvue architecture of the American group open source, the compatibility of the HTML5 and the original WeChat applet is solved, the basic grammar familiar with Vue. Js can be developed, the problems of componentization development, multi-terminal code multiplexing and the like are better solved, and the compatibility of the WeChat applet in the invention is improved. And the characteristics that the WeChat applet can be used without downloading and installing the WeChat applet are adopted, so that the user experience is facilitated. However, the transmission delay of the WeChat applet for communication is prevented, and the low-delay video image transmission of the monitoring equipment and the timely response of the control instruction cannot be effectively realized, so that the communication between the WeChat applet and the disinfection detection epidemic prevention robot adopts an information agent mode for connection, wherein the information agent can be the combination of an image memory and a cloud computing platform, and an Arian OSS object memory and an Arian computing platform can be used. After the information agent is used, the communication between the WeChat applet and the disinfection detection epidemic prevention robot can adopt an MQTT protocol, and the delay problem can be well solved by adopting the MQTT protocol, so that the delay reaches the millisecond level. MQTT is a "lightweight" communication protocol based on a publish/subscribe model, with the greatest advantage of low overhead, low bandwidth occupation even communication protocols. The disinfection detection epidemic prevention robot can perform data communication only by networking and subscribing the theme published by the WeChat applet. The disinfection detection epidemic prevention robot of the user can be conveniently connected with a WeChat applet to control and transmit real-time pictures. The information agent of the Arian OSS object memory contains an OSS storage bucket, pictures acquired by the disinfection detection epidemic prevention robot can be stored, the shooting uploading speed of the OSS storage bucket can be uploaded to the OSS storage bucket to cover an original picture at the speed of 30ms, the same is achieved when a user acquires the pictures by using a WeChat applet, the pictures are downloaded to a page of the WeChat applet at the speed of 30ms, and 30 continuous pictures can be acquired in 1 second by acquiring the pictures shot by the disinfection detection epidemic prevention robot by the method. The number of visible frames of human eyes is 24 frames per second, so that the user can use a continuous video in eyes, even if a plurality of pictures cannot be effectively covered on an original picture due to a network, the whole continuous lines of the pictures cannot be affected, and the delay of picture transmission is reduced through an MQTT protocol, so that the user can monitor the real-time pictures according to a WeChat applet. And compared with video transmission, the invention has lower flow cost control for users.
The WeChat applet performs control operation on the disinfection detection epidemic prevention robot in a theme release mode, the theme is a character with a mark, after the WeChat applet releases the character through an MQTT protocol, the disinfection detection epidemic prevention robot can search the character and interpret a control instruction represented by the character, the disinfection detection epidemic prevention robot performs corresponding operation on the control instruction, the theme release and the theme receiving can be realized, the concurrent control of the operation instruction is realized, and the flexibility of the disinfection detection epidemic prevention robot is improved. When the disinfection detection epidemic prevention robot receives a disinfection instruction, the disinfection treatment is carried out on the surrounding environment, and because the control instruction is executed concurrently, the instruction of shooting and acquiring the picture cannot disappear, the current picture can be continuously acquired, and the effect of checking and disinfecting at the same time is achieved. In the prior art, if the user needs to disinfect and acquire the picture, the disinfecting device and the shooting device are connected with the control device respectively, and the control chip is arranged on the disinfecting device and the shooting device respectively according to the requirement, so that the cost of the equipment is greatly increased.
The picture shot by the disinfection detection epidemic prevention robot is uploaded to an OSS storage barrel, the cloud computing product table can acquire the picture in the OSS storage barrel, the face in the picture is identified through an internal integrated algorithm, the number of times of people who wear no mask in a judging period is judged, when the number of times reaches a threshold value, a process for reminding disinfection is sent to a WeChat applet, and the process can be reminded in a voice or text mode.
Preferably, the information agent is a combination of an object store and a cloud computing platform.
Preferably, step B comprises:
step B1: the WeChat applet is connected with the information agent through an MQTT communication protocol;
step B2: the WeChat applet acquires user information of a user, wherein the user information comprises a user domain name, a user name and a password, and the user information is sent to the cloud computing platform for verification;
step B3: and B2-B3, comparing the verification information with the user information through pre-storing, and if the verification information is matched with the user information, electrically connecting the WeChat applet with the disinfection detection epidemic prevention robot through an MQTT communication protocol, and if the verification information is not matched with the user information, repeating the steps.
Thus, the external personnel is prevented from performing bad operation on the disinfection detection epidemic prevention robot by using the WeChat applet, verification information is arranged in the cloud computing platform of the information agent, the verification information is the WeChat, password and domain name information of the selected user, and the WeChat applet can acquire the domain name, user name and password of the user as long as the user logs in the WeChat applet. The cloud computing platform can obtain whether the user is a selected user or not only by comparing the cloud computing platform with the user.
Preferably, the step D of obtaining feedback information of the current picture includes the steps of:
step D1: the WeChat applet requests the disinfection detection epidemic prevention robot to shoot and acquire the current shooting picture, and the shooting picture at the speed of 30ms exists in the image memory;
step D2: the WeChat applet acquires the URL address of the object memory, requests to acquire the picture of the URL address at 30ms timing, and the object memory converts the picture acquired by the URL address into a format of Base 64.
Thus, an object memory is used in the real-time monitoring function of the picture, the disinfection detection epidemic prevention robot is required to continuously transmit pictures with the same name to an OSS storage barrel of the object memory to cover the original pictures, the WeChat applet only needs to know the URL address of the pictures in the OSS storage barrel, the picture can be obtained by carrying out network request of the native WeChat applet development environment and starting a picture network request function at 30ms timing, and the pictures acquired by the address are converted into a Base64 format, so that the problem of frequent flicker of picture update is solved. The URL address can be set directly on an upper computer, and the request address of the WeChat applet picture can also be informed by the disinfection detection epidemic prevention robot sending the picture URL address by using the MQTT protocol. The transmission delay reaches the millisecond level by this transmission scheme.
Preferably, determining whether the cumulative number of recognition results is greater than the threshold value in one determination period includes the steps of:
step D3: the information agent acquires the shooting picture in the step D2, and adopts a PyramidBox face recognition algorithm to recognize the shooting picture and detect the face in the shooting picture;
step D4: the information agent adopts a PyramidBox mask recognition algorithm to recognize the face in the step D3, detects whether the face is provided with a mask or not, and records the times of the person who does not wear the mask;
step D5: and D3-D4, the cloud computing platform judges whether the number of times of not wearing the mask in one judging period is larger than a threshold value, if so, the information agent reminds the WeChat applet to carry out disinfection treatment, and resets the judging period.
Therefore, the cloud computing platform is used in the function of judging whether the accumulated number of the recognition results is larger than the threshold value, and the cloud computing platform integrates a PyramidBox face recognition algorithm and a PyramidBox mask recognition algorithm, so that people in the picture can be recognized by the imported mask. The cloud computing has the advantages that the situation that the mobile equipment of the user is too low in configuration to effectively compute and obtain a judgment result is avoided, and the result is directly sent to a WeChat applet used by the user. The invention is to upload the disinfection detection epidemic prevention robot to the picture of the image storage for judgment, in one second, 33 pictures are stored in the image storage, and the person without wearing the mask is recorded 33 times in the second, in order to better make the threshold meet the judgment standard, the setting of the threshold is to limit the number of people without wearing the mask to multiply 33 by the time value of the judgment period, such as: and judging the period to be 5 minutes, limiting the number of people who wear the mask to be 5, and setting the threshold to be 5 x 33 x 300= 49500.
The invention also provides a disinfection system for detecting the face mask, which uses the disinfection detection control method for detecting the face mask and comprises a communication module, a disinfection detection epidemic prevention robot and an information agent module;
the communication module is electrically connected with the disinfection detection epidemic prevention robot through the information agent module and is used for sending shooting, disinfection and moving instructions to the disinfection detection epidemic prevention robot;
the disinfection detection epidemic prevention robot is used for shooting a current monitored picture, performing disinfection treatment and sending the monitored picture to the communication module through the information agent module;
the information agent module comprises an object memory module and a cloud computing platform module, wherein the object memory module is used for storing a monitoring picture shot by the disinfection detection epidemic prevention robot, the cloud computing platform is used for computing the number of people who do not wear the mask in the monitoring picture stored by the object memory module, and if the number of people who do not wear the mask exceeds a threshold value, disinfection reminding information is generated to the communication module. In this way, as shown in fig. 6 to 7, the disinfection detection epidemic prevention robot of the present invention integrates the water storage tank 5 for loading disinfection water, the spray head 3, the camera 1 and the processor 2, the processor controls the spray head and the camera to work and be connected with signals, the processor can send shooting pictures to the information agent module and control the spray head, the disinfection detection epidemic prevention robot is further provided with the roller, the roller 4 is connected with the processor, and the communication module can directly control and move the disinfection detection epidemic prevention robot, so that the disinfection detection epidemic prevention robot can move to a position which can be monitored properly.
Preferably, the communication module comprises a verification module, and the verification module is used for or transmitting the user domain name, the user name and the password of the current user to the cloud computing platform module for verification, and judging whether the communication module meets the use condition. Therefore, the verification module can prevent an external person from acquiring a current picture through the WeChat applet or performing unfriendly operation by using the WeChat applet, and the use safety of the disinfection detection epidemic prevention robot is ensured.
Preferably, the communication module comprises a picture acquisition module, wherein the picture acquisition module is used for sending a shooting instruction to the disinfection detection epidemic prevention robot and acquiring a monitoring picture from the image memory module through a URL address.
Preferably, the cloud computing platform module comprises a face recognition module, a mask recognition module and a judgment module;
the face recognition module is used for acquiring the picture of the object memory module and judging whether a face exists or not;
the mask identification module is used for further judging whether the face wears the mask according to the result identified by the face identification module and recording the number of people who wear the mask;
the judging module is used for judging whether the number of people who wear the mask is greater than a threshold value in one period, and if so, sending a disinfection prompt to the communication module.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.

Claims (6)

1. The utility model provides a disinfection control method of detection face gauze mask, its characterized in that, control method disposes in the disinfection system of detection face gauze mask, the disinfection system of detection face gauze mask includes: the control method of the disinfection detection epidemic prevention robot comprises the following steps:
step A: a WeChat applet automatically reads the user WeChat;
and (B) step (B): the WeChat applet sends a connection request of the disinfection detection epidemic prevention robot to an information agent, the information agent judges whether the connection with the disinfection detection epidemic prevention robot is successful, if so, the step C is carried out, and if the connection is failed, the step B is repeated;
step C: the WeChat applet distributes a theme to a disinfection detection epidemic prevention robot, requests the disinfection detection epidemic prevention robot to subscribe the theme, the disinfection detection epidemic prevention robot subscribes the theme according to the request and executes the theme content, and feeds back information to an information agent according to the execution result, wherein the theme content comprises the following components: shooting, moving and sterilizing;
step D: the method comprises the steps that a WeChat applet receives feedback information sent by an information agent, wherein the feedback information comprises a shooting picture and an identification result, the information agent judges whether the accumulated number of the identification result is larger than a threshold value in a judging period according to the identification result, if so, the information agent sends a prompt to the WeChat applet for disinfection treatment, and the identification result is whether a person does not wear a mask in the shooting picture;
the information agent is the combination of the object memory and the cloud computing platform;
the step B comprises the following steps:
step B1: the WeChat applet is connected with the information agent through an MQTT communication protocol;
step B2: the WeChat applet acquires user information of a user, wherein the user information comprises a user domain name, a user name and a password, and the user information is sent to the cloud computing platform for verification;
step B3: the cloud computing platform compares the pre-stored verification information with the user information, if the verification information is matched with the user information, the micro-communication applet is electrically connected with the disinfection detection epidemic prevention robot through an MQTT communication protocol, and if the verification information is not matched with the user information, the steps B2-B3 are repeated;
the step D of obtaining feedback information of the current picture comprises the following steps:
step D1: the WeChat applet requests the disinfection detection epidemic prevention robot to shoot and acquire the current shooting picture, and the shooting picture at the speed of 30ms exists in the image memory;
step D2: the WeChat applet acquires the URL address of the image memory, requests to acquire the picture of the URL address at 30ms timing, and the image memory converts the picture acquired by the URL address into a Base64 format;
the speed of shooting and uploading is uploaded to an OSS storage bucket at the speed of 30ms to cover an original image, and when a user acquires the image by using the WeChat applet, the image is downloaded to a page of the WeChat applet at the speed of 30 ms.
2. The sterilization detection control method for detecting a face mask according to claim 1, wherein judging whether the cumulative number of recognition results is greater than a threshold value in one judgment period comprises the steps of:
step D3: the information agent acquires the shooting picture in the step D2, and adopts a PyramidBox face recognition algorithm to recognize the shooting picture and detect the face in the shooting picture;
step D4: the information agent adopts a PyramidBox mask recognition algorithm to recognize the face in the step D3, detects whether the face is provided with a mask or not, and records the times of the person who does not wear the mask;
step D5: and D3-D4, the cloud computing platform judges whether the number of times of not wearing the mask in one judging period is larger than a threshold value, if so, the information agent reminds the WeChat applet to carry out disinfection treatment, and resets the judging period.
3. A disinfection system for detecting a face mask, which uses a disinfection detection control method for detecting a face mask according to the claims 1-2, and is characterized by comprising a communication module, a disinfection detection epidemic prevention robot and an information agent module;
the communication module is electrically connected with the disinfection detection epidemic prevention robot through the information agent module and is used for sending shooting, disinfection and moving instructions to the disinfection detection epidemic prevention robot;
the disinfection detection epidemic prevention robot is used for shooting a current monitored picture, performing disinfection treatment and sending the monitored picture to the communication module through the information agent module;
the information agent module comprises an object memory module and a cloud computing platform module, wherein the object memory module is used for storing a monitoring picture shot by the disinfection detection epidemic prevention robot, the cloud computing platform is used for computing the number of people who do not wear the mask in the monitoring picture stored by the object memory module, and if the number of people who do not wear the mask exceeds a threshold value, disinfection reminding information is generated to the communication module.
4. A disinfecting system for detecting face masks according to claim 3, characterized in that: the communication module comprises a verification module, wherein the verification module is used for or transmitting the user domain name, the user name and the password of the current user to the cloud computing platform module for verification, and judging whether the communication module accords with the use condition.
5. The sterilizing system for detecting a face mask according to claim 4, wherein: the communication module comprises a picture acquisition module, wherein the picture acquisition module is used for sending a shooting instruction to the disinfection detection epidemic prevention robot and acquiring a monitoring picture from the image memory module through a URL address.
6. The sterilizing system for detecting a face mask according to claim 5, wherein: the cloud computing platform module comprises a face recognition module, a mask recognition module and a judgment module;
the face recognition module is used for acquiring the picture of the object memory module and judging whether a face exists or not;
the mask identification module is used for further judging whether the face wears the mask according to the result identified by the face identification module and recording the number of people who wear the mask;
the judging module is used for judging whether the number of people who wear the mask is greater than a threshold value in one period, and if so, sending a disinfection prompt to the communication module.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014027430A1 (en) * 2012-08-15 2014-02-20 日本電気株式会社 Information processing device, information processing system, unregistered product lookup method, and unregistered product lookup program

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108154591A (en) * 2018-01-20 2018-06-12 深圳市道尔智控科技股份有限公司 The access control system and method that a kind of barcode scanning comes in and goes out
CN109088723B (en) * 2018-10-26 2021-08-06 四川长虹电器股份有限公司 Remote control method based on MQTT protocol
CN115086606A (en) * 2018-12-05 2022-09-20 深圳阿科伯特机器人有限公司 Moving target monitoring method, device and system, storage medium and robot
CN110209674A (en) * 2019-06-17 2019-09-06 河海大学常州校区 A kind of the cloud database statistical method and device of industrial environment dust control wechat small routine
CN112347830A (en) * 2020-05-22 2021-02-09 深圳欧依云科技有限公司 Factory epidemic prevention management method and system
CN111901333B (en) * 2020-07-27 2022-08-02 广州卓远虚拟现实科技有限公司 MQTT protocol-based VR (virtual reality) man-machine interaction method and readable storage medium

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014027430A1 (en) * 2012-08-15 2014-02-20 日本電気株式会社 Information processing device, information processing system, unregistered product lookup method, and unregistered product lookup program

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