Intelligent morning check attendance prevention and control integrated system for school canteen

Abstract

The invention discloses an intelligent morning check attendance prevention and control integrated system for school canteens, relates to the technical field of intelligent health management and informatization management, is used for solving the problem of low health management in specific scenes, and comprises a health detection unit, an identity recognition unit, a data processing unit and a control execution unit. The sanitation detection unit is used for collecting hand cleanliness, wound state, body temperature and protective article wearing information; the identity recognition unit binds employee identities and detection data; the data processing unit analyzes the health state through a multi-layer neural network; according to the morning check management system and method, efficient, convenient and intelligent morning check and prevention and control management can be achieved, and the sanitation and safety guarantee level of the school canteen is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent health management and information management, and more specifically, to an integrated intelligent morning inspection, attendance, and prevention and control system for school cafeterias. Background Art

[0002] With the widespread application of smart devices in both industrial and civilian sectors, the demand for intelligent solutions for specific scenarios is increasing. School cafeterias, being places with high staff density and strict hygiene requirements, place higher demands on morning checkups, attendance, and prevention and control management. However, existing technologies have yet to fully implement integrated intelligent systems that integrate functions such as hand washing, hand disinfection, trauma detection, temperature monitoring, and mask and hat wear checks. This limits the efficient, convenient, and intelligent management of school cafeterias.

[0003] The existing technology has the following deficiencies: A search revealed a software-defined industrial intelligent control system with announcement number CN112181382B. This patent uses software-defined methods to optimize computing power scheduling and dynamic reconstruction, supporting the coordinated operation of real-time industrial control tasks and non-real-time edge computing tasks. It features integration, intelligence, real-time, and flexible expansion. However, this technical solution is primarily targeted at the industrial control field, and its functional design focuses on computing power scheduling and task allocation, with little involvement in specific scenarios involving hygiene management needs, such as hand disinfection and temperature monitoring. Furthermore, the system's hardware adaptability and volume design fail to fully meet the school cafeteria's demand for wall-mounted miniaturized equipment, resulting in certain adaptability challenges in its application in cafeteria environments.

[0004] After searching, a software container method for industrial automation control systems with the announcement number CN111913426B was found. This patent encapsulates the control operation logic through a virtualized software container, giving the automation control system a huge expansion space, solving the problem of fixed functions and poor scalability of traditional systems. However, the core of this technical solution is to improve the scalability and flexibility of the system, and fails to cover specific functional modules for personal hygiene management, such as hand trauma detection, automatic water hand washing, and wind drying. At the same time, this solution does not fully consider the miniaturization and integrated design of the equipment, and it is difficult to meet the actual needs of school canteens for compact equipment. Therefore, an intelligent morning inspection, attendance, and prevention and control integrated system for school canteens is proposed.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an integrated intelligent morning inspection and attendance control system for school canteens, which solves the problems raised in the above-mentioned background technology by integrating functional modules such as hand washing, hand disinfection, trauma detection, body temperature monitoring, and mask and hat wearing inspection.

[0007] To achieve the above objectives, the present invention provides the following technical solutions: an intelligent morning inspection and attendance control integrated system for school cafeterias, comprising a hygiene detection unit, an identity recognition unit, a data processing unit, and a control execution unit, wherein the units are connected by signal lines; The hygiene detection unit is used to collect information on employees' hand cleanliness, hand injury status, body temperature, and whether they wear masks or hats, and transmits the collected data to the data processing unit. After receiving abnormal feedback, the relevant data is re-collected and transmitted to the control execution unit. The identity recognition unit is used to record the employee's identity information and bind it with the data collected by the hygiene detection unit to generate a complete morning inspection record and then transmit it to the data processing unit; The data processing unit receives data transmitted by the health detection unit and the identity recognition unit, comprehensively analyzes the health status and hygiene conditions of employees, determines whether the employees meet the job requirements based on the preset hygiene standards, and transmits the judgment results to the control execution unit; The control execution unit is used to receive the judgment results, choose to save the morning inspection records or trigger the purification operation, and transmit the results of the purification operation to the data processing unit for secondary verification. If it does not meet the hygiene standards, further purification process will be initiated.

[0008] In a preferred embodiment, the hygiene detection unit includes a hand cleaning detection module, a wound detection module, a body temperature detection module, and a protective equipment detection module, and data exchange between the modules is achieved through an internal communication protocol; The hand hygiene detection module uses optical sensors to detect the residual moisture and alcohol concentration on the hand surface; the trauma detection module uses infrared imaging technology to scan the hand skin surface to generate a trauma distribution map; the body temperature detection module uses non-contact infrared temperature measurement technology to obtain the employee's body temperature value; the protective equipment detection module uses image recognition algorithms to determine whether employees are wearing masks and hats correctly.

[0009] In a preferred embodiment, the hand cleaning detection module is installed in the middle area of the device body, and its optical sensor is set at a preset angle to the horizontal plane; the trauma detection module is installed above the hand cleaning detection module, and the distance between the infrared camera and the hand is fixed to a preset distance; the body temperature detection module is installed on the top of the device body, and the vertical distance between the infrared temperature probe and the employee's forehead is set to a preset distance; the high-definition camera of the protective equipment detection module is installed in the upper area of the device body, and the lens field of view covers the employee's head range.

[0010] In a preferred embodiment, the identity recognition unit adopts a combination of fingerprint recognition technology and RFID card reader. The fingerprint recognition module is installed in the right area of the device body, and its sensing surface is parallel to the horizontal plane; the RFID card reader is installed in the left area of the device body, and its card reading area is perpendicular to the horizontal plane.

[0011] In a preferred embodiment, the data processing unit classifies and analyzes the received data using a multi-layer neural network model. The specific steps are as follows: Data preprocessing: Normalize the data on hand cleanliness, wound distribution, body temperature, and protective equipment wearing status to form a unified input format; Feature extraction: Extract key features from the normalized data, including hand cleanliness threshold, wound area ratio, body temperature range, and completeness of protective equipment wearing; Health status assessment: The extracted key features are input into the multi-layer neural network model to calculate the employee's health status score; Hygiene standard comparison: Compare the health status score with the preset hygiene standards to determine whether the employee meets the job requirements.

[0012] In a preferred embodiment, the input layer of the multi-layer neural network model receives normalized data, the hidden layer calculates feature weights through an activation function, and the output layer generates a health status score; during the model training process, the backpropagation algorithm is used to optimize the weight parameters until the loss function converges.

[0013] In a preferred embodiment, the control execution unit includes a storage module and a purification module. The storage module is used to save morning inspection records that meet hygiene standards, and the purification module is used to purify employees who do not meet hygiene standards; the purification module includes an automatic water outlet device, a wind drying device and an alcohol spray device. Each device is controlled to start and stop by an electromagnetic valve, and the electromagnetic valve is connected to the main control board of the control execution unit through a signal line.

[0014] In a preferred embodiment, the automatic water outlet device is installed in the bottom area of the equipment body, and its water outlet is set at a preset angle to the horizontal plane; the wind drying device is installed above the automatic water outlet device, and its blowing outlet is parallel to the horizontal plane, and the blowing direction is toward the hands; the alcohol spraying device is installed on the right side of the wind drying device, and its nozzle is set at a preset angle to the horizontal plane.

[0015] In a preferred embodiment, when an employee does not meet the hygiene standards, the control execution unit starts the purification process, and the specific steps are as follows: Start the automatic water outlet device: the solenoid valve controls the automatic water outlet device to open and keep it open until the preset time is met; Start the wind drying device: After the automatic water outlet device is closed, the solenoid valve controls the wind drying device to open and continue blowing until the preset time is met; Start the alcohol spraying device: After the wind drying device is turned off, the solenoid valve controls the alcohol spraying device to start and continue spraying until the preset time is met; After completing the purification operation, the control execution unit sends a signal to the hygiene detection unit to re-collect the employee's hand cleanliness data and transmit it to the data processing unit for secondary verification.

[0016] In a preferred embodiment, if the employee still does not meet the hygiene standards, the control execution unit extends the purification process time, and the operating time of the automatic water outlet device, the wind drying device and the alcohol spray device are increased by corresponding time periods respectively, and the purification operation is repeated until the employee meets the hygiene standards.

[0017] The technical effects and advantages of the present invention are as follows: 1. The present invention uses a hygiene detection unit, an identity recognition unit, a data processing unit, and a control execution unit. The hygiene detection unit collects information on hand cleanliness, wound status, body temperature, and the wearing of protective equipment; the identity recognition unit binds employee identity and detection data; the data processing unit analyzes health status through a multi-layer neural network; and the control execution unit saves records or triggers purification operations. Adapting to the cafeteria scenario, this application can achieve efficient, convenient, and intelligent morning inspections and prevention and control management, improving the hygiene and safety level of school cafeterias. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a module schematic diagram of an intelligent morning inspection, attendance, prevention and control integrated system for school cafeterias according to the present invention.

[0019] Figure 2 This is a mind map of the module implementation of an intelligent morning inspection, attendance, prevention and control integrated system for school cafeterias in the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0021] Example 1: Please refer to Figures 1 to 2, an intelligent morning inspection and attendance control integrated system for school cafeterias. The specific operation process is as follows: the device body is made of stainless steel with preset dimensions. The back of the device is equipped with a wall-mounted mounting bracket and fixed to the wall with bolts. According to the preset bolt hole spacing, the device body is equipped with a hygiene detection unit, an identity recognition unit, a data processing unit, a control execution unit, and a power management module. These units are connected by signal lines to form a complete system structure. Optionally, the preset dimensions may be defined as 600 mm high × 400 mm wide × 200 mm thick, which will not be described here; Optionally, the preset bolt hole spacing can be 300mm×150mm to ensure a secure installation of the equipment, which is not described here; The hand cleanliness detection module is installed in the middle area of the device body. Its optical sensor is set at a preset angle to the horizontal plane to ensure that the light evenly illuminates the hand surface. The wound detection module is installed above the hand cleaning detection module. The preset distance between the infrared camera and the hand is to ensure the imaging clarity; The preset distance was obtained by our staff based on the test results of image clarity evaluation indicators at different focal lengths and the area size comparison experiment of the standard hand model; Specifically, the vertical distance between the infrared temperature probe of the temperature detection module installed on the top of the equipment body and the employee's forehead is set to 15 cm; The protective equipment detection module is installed in the upper area of the equipment body. The high-definition camera lens covers the employee's head to accurately capture the wearing status; The fingerprint recognition module is installed on the right side of the device. The sensing surface of the fingerprint recognition module is parallel to the horizontal plane, which is convenient for employees to place their fingers. The RFID card reader is installed on the left side. The card reading area is perpendicular to the horizontal plane, which is convenient for employees to swipe cards. The control execution unit includes an automatic water outlet device, a wind drying device and an alcohol spraying device; The automatic water outlet device is installed at the bottom area of the device body, and its outlet is set at a preset angle to the horizontal plane to ensure that the water flow evenly covers the surface of the hands. The wind drying device is installed above the automatic water outlet device, and its air outlet is parallel to the horizontal plane and the air blowing direction is towards the hands. The alcohol spraying device is installed on the right side of the wind drying device. Its nozzle is set at a preset angle to the horizontal plane to ensure that the alcohol is evenly sprayed on the hand surface. Each device is connected to the main control board of the control execution unit through a solenoid valve. The solenoid valve receives instructions through a signal line and starts and stops the corresponding device; Specifically, the preset angles were obtained by our staff based on liquid / gas distribution simulation experimental data and hand 3D surface modeling analysis results, and will not be elaborated here; The power management module is located inside the device body and converts the external input voltage into the stable voltage required by each functional module through the DC-DC conversion circuit. It is also equipped with an overload protection circuit to prevent damage to the device due to excessive current. The power management module is connected to each functional module through wires to provide power support for them. When the system is running, the employee first places their finger on the fingerprint recognition module sensing surface of the identity recognition unit or swipes their card in the RFID reader area to complete the identity information recording. The employee then places their hands under the hand cleanliness detection module to perform a hand cleanliness test. The optical sensor detects the residual moisture and alcohol concentration on the hand surface and transmits the data to the data processing unit. The trauma detection module uses infrared imaging technology to scan the hand skin surface to generate a trauma distribution map and transmit the data to the data processing unit; The body temperature detection module uses non-contact infrared temperature measurement technology to obtain the employee's body temperature and transmit the data to the data processing unit; The protective equipment detection module uses image recognition algorithms to determine whether employees are wearing masks and hats correctly and transmits the results to the data processing unit; The data processing unit receives the data transmitted by the above modules, normalizes it, and then extracts key features, including hand cleanliness threshold, wound area ratio, body temperature range, and completeness of protective equipment wearing; The logic for obtaining the hand cleanliness threshold is to calculate a cleanliness score using a weighted function based on the hand surface reflectivity, alcohol concentration, and residual moisture content detected by the optical sensor. This score is then compared with a preset cleanliness threshold. The cleanliness scores that are greater than or equal to the cleanliness threshold are counted and averaged to obtain the hand cleanliness threshold. The logic for obtaining the wound area ratio is to calculate the ratio of the pixel area of the wound area in the infrared image to the pixel area of the total hand detection area to obtain the wound area ratio; The logic for obtaining the temperature range is to collect the employee's forehead temperature through the infrared temperature measurement module, and dynamically correct it based on the ambient temperature to obtain the temperature range; The logic for obtaining the completeness of protective equipment wearing is to match the feature areas of the camera image through the image recognition algorithm, detect the mask-blocked area and the hat-covered area, and calculate the ratio with the overall area of the employee to obtain the completeness of protective equipment wearing; The hand cleanliness threshold, wound area ratio, body temperature range, and completeness of protective equipment wearing are input into a multi-layer neural network model to calculate the health status score. The model input layer receives normalized data, and the hidden layer calculates feature weights through an activation function. The output layer generates a health status score and compares it with the preset hygiene standard threshold to determine whether the employee meets the job requirements. If the health status score is greater than or equal to the health standard threshold, the employee meets the job requirements; if the health status score is less than the health standard threshold, the employee does not meet the job requirements; When an employee does not meet the hygiene standards, the control execution unit starts the purification process. First, the solenoid valve of the automatic water outlet device starts the water flow and keeps it open until the preset time is met. Then the solenoid valve of the wind drying device starts blowing and keeps blowing until the preset time is met. Finally, the solenoid valve of the alcohol spraying device starts spraying and keeps spraying until the preset time is met. After the purification operation is completed, the control execution unit sends a signal to the hygiene detection unit to re-collect the employee's hand cleanliness data and transmit it to the data processing unit for secondary verification; If the hygiene standard threshold is still not met, the control execution unit will extend the purification process time, increase the operating time of the automatic water outlet device, wind drying device and alcohol spray device by the corresponding time, and repeat the purification operation until the employee meets the hygiene standard; The device body is fixed to the wall through the wall mounting bracket. When installing, it needs to be positioned according to the bolt hole spacing of 300mm×150mm and the connection between the bracket and the wall is tightened by bolts to ensure the device is installed firmly. During the use of the device, the power management module monitors the voltage of each functional module in real time and provides stable power support. At the same time, the overload protection circuit cuts off the abnormal current to protect the safety of the equipment. In order to better enable relevant personnel in this technical field to fully understand and implement the present invention, the specific implementation principle of the present invention is supplemented below with reference to a specific application scenario.

[0022] The device is secured to the wall using a wall-mount bracket. During installation, the bolt holes must be positioned according to a spacing of 300mm x 150mm. Bolts must be tightened between the bracket and the wall to ensure a secure installation. During operation, the power management module monitors the voltage of each functional module in real time and provides stable power. Meanwhile, the overload protection circuit cuts off abnormal current flow to protect the device.

[0023] After employees enter the morning inspection area of the cafeteria, they first place their fingers on the sensing surface of the fingerprint recognition module of the identity recognition unit or swipe the card in the RFID card reader area to complete the identity information record. At this time, the employee places both hands under the hand cleaning detection module, and the optical sensor illuminates the surface of the hand at a 45° angle to detect the residual moisture and alcohol concentration on the surface of the hand, and transmits the data to the data processing unit. The infrared camera of the trauma detection module maintains a distance of 20 cm from the hand, and uses infrared imaging technology to scan the surface of the hand skin to generate a trauma distribution map, and transmits the data to the data processing unit. The infrared temperature measurement probe of the body temperature detection module maintains a vertical distance of 15 cm from the employee's forehead, and uses non-contact infrared temperature measurement technology to obtain the employee's body temperature value and transmit the data to the data processing unit. The high-definition camera lens field of view of the protective equipment detection module covers the employee's head range, and uses image recognition algorithms to determine whether the employee is wearing a mask and hat correctly, and transmits the results to the data processing unit.

[0024] After receiving data from the aforementioned modules, the data processing unit first normalizes it and extracts key features, including hand cleanliness threshold, wound area percentage, temperature range, and completeness of protective equipment. These features are then fed into a multi-layer neural network model. The model's input layer receives the normalized data, the hidden layer calculates feature weights using an activation function, and the output layer generates a health status score. This score is compared with pre-set hygiene standards to determine whether the employee meets the requirements for employment.

[0025] When an employee does not meet the hygiene standards, the control execution unit starts the purification process. The solenoid valve of the automatic water outlet device is opened, and the water flow lasts for 5 seconds. Its outlet is set at a 30° angle to the horizontal plane to ensure that the water flow evenly covers the surface of the hands. Then the solenoid valve of the wind drying device is opened, and the blowing lasts for 8 seconds. Its blowing port is parallel to the horizontal plane and directed towards the hands. Finally, the solenoid valve of the alcohol spraying device is opened, and the spraying lasts for 3 seconds. Its nozzle is set at a 60° angle to the horizontal plane to ensure that the alcohol is evenly sprayed on the surface of the hands. After completing the purification operation, the control execution unit sends a signal to the hygiene detection unit to re-collect the employee's hand cleanliness data and transmit it to the data processing unit for secondary verification.

[0026] If the second verification still fails to meet hygiene standards, the control execution unit extends the purification process. The automatic water outlet, wind drying device, and alcohol spray device operate for an additional 2 seconds, 3 seconds, and 1 second, respectively. The purification process is repeated until the employee meets hygiene standards. During this process, the power management module uses a DC-DC converter circuit to convert the external input voltage to the stable voltage required by each functional module. An overload protection circuit is also included to prevent damage to the device due to excessive current.

[0027] The above steps demonstrate the entire process from installation to operation, embodying the collaborative working principles of the various functional modules. Through precise angle settings and time control, the system efficiently completes sanitation inspections and purification operations, ensuring that employees meet job requirements, thereby meeting the intelligent needs of morning inspections, attendance, and prevention and control management in school cafeterias.

[0028] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technical personnel in this field according to actual conditions.

[0029] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0030] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0031] Those skilled in the art will appreciate that the units and algorithmic steps of each example described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0032] Technical personnel in the relevant field can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0033] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0034] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0035] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0036] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0037] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any modifications or substitutions that can be easily conceived by a skilled person within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. An intelligent morning attendance check and prevention system for school cafeterias, characterized by: include: The hygiene detection unit, identity recognition unit, data processing unit and control execution unit are connected by signal lines; The hygiene detection unit is used to collect information on employees' hand cleanliness, hand injury status, body temperature, and whether they wear masks or hats, and transmits the collected data to the data processing unit. After receiving abnormal feedback, the relevant data is re-collected and transmitted to the control execution unit. The identity recognition unit is used to record the employee's identity information and bind it with the data collected by the hygiene detection unit to generate a complete morning inspection record and then transmit it to the data processing unit; The data processing unit receives data transmitted by the health detection unit and the identity recognition unit, comprehensively analyzes the health status and hygiene conditions of employees, determines whether the employees meet the job requirements based on the preset hygiene standards, and transmits the judgment results to the control execution unit; The control execution unit is used to receive the judgment results, choose to save the morning inspection records or trigger the purification operation, and transmit the results of the purification operation to the data processing unit for secondary verification. If it does not meet the hygiene standards, further purification process will be initiated.

2. The intelligent morning attendance check and prevention and control integrated system for school cafeterias according to claim 1 is characterized by: The hygiene detection unit includes a hand cleaning detection module, a trauma detection module, a body temperature detection module, and a protective equipment detection module. Data exchange is achieved between the modules through an internal communication protocol. The hand hygiene detection module uses optical sensors to detect the residual moisture and alcohol concentration on the hand surface; the trauma detection module uses infrared imaging technology to scan the hand skin surface to generate a trauma distribution map; the body temperature detection module uses non-contact infrared temperature measurement technology to obtain the employee's body temperature value; the protective equipment detection module uses image recognition algorithms to determine whether employees are wearing masks and hats correctly.

3. The intelligent morning attendance check and prevention and control integrated system for school cafeterias according to claim 2 is characterized by: The hand hygiene detection module is installed in the middle area of the equipment body, and its optical sensor is set at a preset angle to the horizontal plane; the trauma detection module is installed above the hand hygiene detection module, and the distance between the infrared camera and the hand is fixed at a preset distance; the body temperature detection module is installed on the top of the equipment body, and the vertical distance between the infrared temperature probe and the employee's forehead is set to a preset distance; the high-definition camera of the protective equipment detection module is installed in the upper area of the equipment body, and the lens field of view covers the employee's head range.

4. The intelligent morning attendance check and prevention and control integrated system for school cafeterias according to claim 3 is characterized by: The identity recognition unit adopts a combination of fingerprint recognition technology and RFID card reader. The fingerprint recognition module is installed in the right area of the device body, and its sensing surface is parallel to the horizontal plane; the RFID card reader is installed in the left area of the device body, and its card reading area is perpendicular to the horizontal plane.

5. The intelligent morning attendance check and prevention and control integrated system for school cafeterias according to claim 1 is characterized by: The data processing unit classifies and analyzes the received data through a multi-layer neural network model. The specific steps are as follows: Data preprocessing: Normalize the data on hand cleanliness, wound distribution, body temperature, and protective equipment wearing status to form a unified input format; Feature extraction: Extract key features from the normalized data, including hand cleanliness threshold, wound area ratio, body temperature range, and completeness of protective equipment wearing; Health status assessment: The extracted key features are input into the multi-layer neural network model to calculate the employee's health status score; Hygiene standard comparison: Compare the health status score with the preset hygiene standards to determine whether the employee meets the job requirements.

6. The intelligent morning attendance check and prevention and control integrated system for school cafeterias according to claim 5 is characterized by: The input layer of the multi-layer neural network model receives normalized data, the hidden layer calculates feature weights through activation functions, and the output layer generates a health status score. During the model training process, the backpropagation algorithm is used to optimize the weight parameters until the loss function converges.

7. The intelligent morning attendance check and prevention and control integrated system for school cafeterias according to claim 1 is characterized by: The control execution unit includes a storage module and a purification module. The storage module is used to save morning inspection records that meet hygiene standards, and the purification module is used to purify employees who do not meet hygiene standards; the purification module includes an automatic water outlet device, a wind drying device and an alcohol spray device. Each device is controlled to start and stop by a solenoid valve, and the solenoid valve is connected to the main control board of the control execution unit through a signal line.

8. The intelligent morning attendance check and prevention and control integrated system for school cafeterias according to claim 7 is characterized by: The automatic water outlet device is installed in the bottom area of the equipment body, and its water outlet is set at a preset angle to the horizontal plane; the wind drying device is installed above the automatic water outlet device, and its air outlet is parallel to the horizontal plane, and the blowing direction is towards the hands; the alcohol spraying device is installed on the right side of the wind drying device, and its nozzle is set at a preset angle to the horizontal plane.

9. The intelligent morning attendance check and prevention and control integrated system for school cafeterias according to claim 7 is characterized by: When an employee does not meet the hygiene standards, the control execution unit starts the purification process. The specific steps are as follows: Start the automatic water outlet device: the solenoid valve controls the automatic water outlet device to open and keep it open until the preset time is met; Start the wind drying device: After the automatic water outlet device is closed, the solenoid valve controls the wind drying device to open and continue blowing until the preset time is met; Start the alcohol spraying device: After the wind drying device is turned off, the solenoid valve controls the alcohol spraying device to start and continue spraying until the preset time is met; After completing the purification operation, the control execution unit sends a signal to the hygiene detection unit to re-collect the employee's hand cleanliness data and transmit it to the data processing unit for secondary verification.

10. The intelligent morning attendance check and prevention and control integrated system for school cafeterias according to claim 9 is characterized by: If the employee still does not meet the hygiene standards, the control execution unit will extend the purification process time, and the operating time of the automatic water outlet device, wind drying device and alcohol spray device will be increased by corresponding time respectively, and the purification operation will be repeated until the employee meets the hygiene standards.

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