Sound level meter cloud networking data calling management system

Abstract

The invention discloses a sound level meter cloud networking data calling management system, and particularly relates to the technical field of data management, the sound level meter cloud networking data calling management system comprises a master controller, the input end of the master controller is connected with an input keyboard, the connecting end of the master controller is connected with a digital password module, and the output end of the master controller is connected with a data monitoring display screen. The output end of the master controller is connected with an image recognition display screen and a user access information display screen, the input end of the master controller is connected with a control panel, and the input end of the control panel is connected with an access permission button. Through arrangement of the master controller, the control panel and the sound level meter branch management module, data of the sound level meter can be intelligently retrieved and managed, so that the data of the sound level meter can be conveniently processed when the data needs to be retrieved or whether the data needs to be retrieved or not, the system is relatively intelligent, intelligent judgment can be performed, manual judgment can also be performed, and the working efficiency is improved. The data calling efficiency of the sound level meter is improved, and the authorization of data calling is relatively simple.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and more specifically, to a sound level meter cloud networking data retrieval management system. Background Art

[0002] A sound level meter is an instrument used to measure the sound pressure level or sound level of sound, also known as a noise meter. It is the most basic instrument for noise measurement. Existing sound level meters cannot intelligently retrieve and manage the data of the sound level meters when in use, resulting in difficulty in processing the data when it needs to be retrieved or whether it needs to be retrieved. It is not smart enough, resulting in low data retrieval efficiency of the sound level meter and troublesome authorization for data retrieval.

[0003] Therefore, there is an urgent need for a sound level meter cloud networking data retrieval and management system to solve the above problems. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a sound level meter cloud network data retrieval management system. By providing a main controller, a control panel and a sound level meter branch management module, the present invention can intelligently retrieve and manage the data of the sound level meter, so that the data of the sound level meter is easy to process when it needs to be retrieved or whether it needs to be retrieved. It is relatively intelligent and can be determined intelligently or manually, thereby improving the data retrieval efficiency of the sound level meter. The authorization of data retrieval is relatively simple, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a sound level meter cloud network data retrieval management system, comprising a main controller, the input end of the main controller is connected to an input keyboard, the connection end of the main controller is connected to a digital password module, the output end of the main controller is connected to a data monitoring display screen, the output end of the main controller is connected to an image recognition display screen, the output end of the main controller is connected to a user access information display screen, the input end of the main controller is connected to a control panel, the input end of the control panel is connected to an access permission button, the input end of the control panel is connected to an access prohibition button, the input end of the control panel is connected to a blacklist addition button, the input end of the control panel is connected to a blacklist release button, the input end of the control panel is connected to a single access button, the connection end of the main controller is connected to a WiFi module, the connection end of the WiFi module is connected to a mobile phone, the connection end of the WiFi module is connected to multiple sound level meter branch management modules, the connection end of the WiFi module is connected to a cloud data storage device, the input end of the WiFi module is connected to an image recognition database, and the input end of the WiFi module is connected to an authorized personnel information database; The sound level meter branch management module includes a branch manager, an input end of the branch manager is connected to a power supply unit, an input end of the branch manager is connected to a sound level meter, a connection end of the branch manager is connected to a branch data storage device, an input end of the branch manager is connected to an image recognition module, and an input end of the image recognition module is connected to a surveillance camera; The digital password module is used to detect the password entered when the mobile phone accesses, determine whether the password is correct, and send the result of the determination to the main controller for processing; The cloud data storage is used to store data measured by the sound level meter in the cloud; The sound level meter is used to detect noise data and transmit the noise data to the branch manager for processing; The monitoring camera is used to capture the external situation of the sound level meter and transmit the image data to the branch manager for processing; The image recognition module is used to compare the photo of the sound level meter taken by the surveillance camera with the photo in the image recognition database to determine whether the external photo of the sound level meter is normal, thereby determining whether the sound level meter is operating normally, and passing the judgment result to the branch manager for processing.

[0006] In a preferred embodiment, the master controller is configured as a programmable PLC.

[0007] In a preferred embodiment, the branch manager is configured as a single chip microcomputer, and the branch manager is connected to a connection end of a WiFi module.

[0008] In a preferred embodiment, the sound level meter model is set to HY139.

[0009] In a preferred embodiment, the programmable PLC model is set to S7-300.

[0010] In a preferred embodiment, the single chip microcomputer model is set to M68HC16.

[0011] In a preferred embodiment, the WiFi module model is set to TLN13UA06, and the digital password module model is set to NC-8025.

[0012] In a preferred embodiment, the image recognition module model is set to AR0230.

[0013] Technical effects and advantages of the present invention: The present invention is provided with a master controller, a control panel and a sound level meter branch management module, so that the present invention can intelligently retrieve and manage the data of the sound level meter, so that the data of the sound level meter is easy to process when it needs to be retrieved or whether it needs to be retrieved, which is relatively intelligent and can be determined intelligently or manually, thereby improving the data retrieval efficiency of the sound level meter and simplifying the authorization of data retrieval. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a system diagram of the present invention.

[0015] Figure 2 This is the topological diagram of the overall controller of the present invention.

[0016] Figure 3 It is the circuit diagram of the overall controller of the present invention.

[0017] Figure 4 This is a circuit diagram of a branch manager of the present invention.

[0018] The accompanying drawings are marked as follows: 1. main controller; 2. input keyboard; 3. digital password module; 4. data monitoring display screen; 5. image recognition display screen; 6. user access information display screen; 7. access permission button; 8. access prohibition button; 9. blacklist addition button; 10. blacklist removal button; 11. single access button; 12. WiFi module; 13. mobile phone terminal; 14. branch manager; 15. power supply unit; 16. sound level meter; 17. branch data storage device; 18. image recognition module; 19. monitoring camera; 20. cloud data storage device; 21. image recognition database; 22. authorized personnel information database; 23. control panel. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] As attached Figure 1 , Attachment Figure 2 , Attachment Figure 3 and attached Figure 4As shown, the present invention provides a sound level meter cloud network data retrieval management system, including a main controller 1, the input end of the main controller 1 is connected to an input keyboard 2, the connection end of the main controller 1 is connected to a digital password module 3, the digital password module is a relatively independent software or hardware module, which completes the password operation function and provides a calling interface. This module is widely used in many fields, including but not limited to computer security, Internet of Things devices, smart door locks, password locks, security verification of electronic equipment, etc., the output end of the main controller 1 is connected to a data monitoring display screen 4, the output end of the main controller 1 is connected to an image recognition display screen 5, the output end of the main controller 1 is connected to a user access information display screen 6, the input end of the main controller 1 is connected to a control panel 23, the input end of the control panel 23 is connected to an access permission button 7, the input end of the control panel 23 is connected to an access prohibition button 8, and the input end of the control panel 23 is connected to a control panel 23. A blacklist adding button 9 is connected, a blacklist releasing button 10 is connected to the input end of the control panel 23, a single access button 11 is connected to the input end of the control panel 23, a WiFi module 12 is connected to the connection end of the master controller 1, the WiFi module is also called a serial port Wi-Fi module, and belongs to the Internet of Things transmission layer. Its function is to convert the serial port or TTL level into an embedded module that complies with the Wi-Fi wireless network communication standard, and has a built-in wireless network protocol IEEE802.11b.gn protocol stack and TCP / IP protocol stack. The connection end of the WiFi module 12 is connected to a mobile phone end 13, and the connection end of the WiFi module 12 is connected to multiple sound level meter branch management modules. The connection end of the WiFi module 12 is connected to a cloud data storage device 20, and the input end of the WiFi module 12 is connected to an image recognition database 21, and the input end of the WiFi module 12 is connected to an authorized personnel information database 22; The sound level meter branch management module includes a branch manager 14, the input end of the branch manager 14 is connected to a power supply unit 15, the input end of the branch manager 14 is connected to a sound level meter 16, the sound level meter, also known as a noise meter, is the most basic instrument in noise measurement, it is an electronic instrument, but different from objective electronic instruments such as voltmeters, the sound level meter can simulate the time characteristics of the human ear's response speed to sound waves when converting sound signals into electrical signals, and has characteristics of different sensitivities and intensity characteristics of changing characteristics at different loudnesses, so it can be said that it is a subjective electronic instrument, the connection end of the branch manager 14 is connected to a branch data storage 17, the input end of the branch manager 14 is connected to an image recognition module 18, the image recognition module is a core component of computer vision technology, used to understand and interpret image content and convert image data into meaningful information, the input end of the image recognition module 18 is connected to a surveillance camera 19; The digital password module 3 is used to detect the password input when the mobile phone terminal 13 accesses, judge whether the password is correct, and send the judgment result to the main controller 1 for processing; The cloud data storage 20 is used to store the data measured by the sound level meter 16 in the cloud; The sound level meter 16 is used to detect noise data and transmit the noise data to the branch manager 14 for processing; The monitoring camera 19 is used to capture the external conditions of the sound level meter 16 and transmit the image data to the branch manager 14 for processing; The image recognition module 18 is used to compare the photo of the sound level meter 16 taken by the monitoring camera 19 with the photo of the image recognition database 21 to determine whether the external photo of the sound level meter 16 is normal, thereby determining whether the sound level meter 16 is operating normally, and transmit the determination result to the branch manager 14 for processing.

[0021] The master controller 1 is configured as a programmable PLC, which is an electronic device for digital operations specially designed for use in industrial environments. It uses a programmable memory to store instructions for performing logical operations, sequential operations, timing, counting and arithmetic operations, and can control various types of machinery or production processes through digital or analog input and output.

[0022] The branch manager 14 is configured as a single-chip microcomputer, which is an integrated circuit chip that uses ultra-large-scale integrated circuit technology to integrate a central processing unit CPU with data processing capabilities, random access memory RAM, read-only memory ROM, multiple I / O ports and interrupt systems, timers / counters and other functions into a small and complete microcomputer system on a silicon chip. The branch manager 14 is connected to the connection end of the WiFi module 12.

[0023] The model of the sound level meter 16 is HY139.

[0024] The programmable PLC model is set to S7-300.

[0025] The microcontroller model is set to M68HC16.

[0026] The model of the WiFi module 12 is set to TLN13UA06, and the model of the digital password module 3 is set to NC-8025.

[0027] The model of the image recognition module 18 is set to AR0230.

[0028] The specific implementation method is as follows: when using the present invention, the sound level meter 16 can detect noise data at multiple locations, and the data is temporarily stored through the branch data storage device 17, and can also be stored in the cloud through the cloud data storage device 20. The monitoring camera 19 can take pictures of the external situation of the sound level meter 16, and pass the image data to the branch manager 14 for processing. The image recognition module 18 can compare the photo of the sound level meter 16 taken by the monitoring camera 19 with the photo of the image recognition database 21 to determine whether the external photo of the sound level meter 16 is normal, thereby determining whether the sound level meter 16 is operating normally, and pass the judgment result to the branch manager 14 for processing. Access is made through the mobile phone terminal 13, and a password is entered. The digital password module 3 can detect the password entered when the mobile phone terminal 13 is accessed, determine whether the password is correct, and send the judgment result to the main controller 1 for processing. After the password is correct, the mobile phone terminal 13 The data of the sound level meter 16 can be accessed and retrieved. If there is no password, the access is directly accessed. The access information is displayed through the user access information display screen 6. The staff can control it through the control panel 23. If it is a long-term user, press the access permission button 7. If it is prohibited, press the access prohibition button 8. The access user can also be added to the blacklist by pressing the blacklist addition button 9 to prohibit the user from accessing in the future. The blacklist can be released by pressing the blacklist release button 10. If the user is allowed to access only once, press the single access button 11. The next time the user accesses again, it is necessary to confirm the permission. This allows the present invention to intelligently retrieve and manage the data of the sound level meter, so that the data of the sound level meter is easy to process when it needs to be retrieved or whether it needs to be retrieved. It is relatively intelligent and can be determined intelligently or manually, which improves the data retrieval efficiency of the sound level meter 16 and the authorization of data retrieval is relatively simple.

[0029] Working principle of the present invention: Refer to the instruction manual Figure 1 , Attachment Figure 2 , Attachment Figure 3 and attached Figure 4 When using the present invention, by providing a main controller 1, a control panel 23 and a sound level meter branch management module, the present invention can intelligently retrieve and manage the data of the sound level meter, so that the data of the sound level meter is easy to process when it needs to be retrieved or whether it needs to be retrieved, which is more intelligent and can be determined intelligently or manually, thereby improving the data retrieval efficiency of the sound level meter 16, and the authorization of data retrieval is relatively simple.

[0030] Finally, a few points should be explained: First, in the description of this application, it should be noted that, unless otherwise specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, which may refer to mechanical connection or electrical connection, or internal communication between two components, or direct connection. "upper", "lower", "left", "right", etc. are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may change; Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A sound level meter cloud networking data retrieval management system, comprising a main controller (1), characterized in that: The input end of the master controller (1) is connected to an input keyboard (2), the connection end of the master controller (1) is connected to a digital password module (3), the output end of the master controller (1) is connected to a data monitoring display screen (4), the output end of the master controller (1) is connected to an image recognition display screen (5), the output end of the master controller (1) is connected to a user access information display screen (6), the input end of the master controller (1) is connected to a control panel (23), the input end of the control panel (23) is connected to an access permission button (7), the input end of the control panel (23) is connected to an access prohibition button (8), and the input end of the control panel (23) is connected to a blacklist addition button (9). The control panel (23) input end is connected to a blacklist release button (10), the control panel (23) input end is connected to a single access button (11), the main controller (1) connection end is connected to a WiFi module (12), the WiFi module (12) connection end is connected to a mobile phone (13), the WiFi module (12) connection end is connected to a plurality of sound level meter branch management modules, the WiFi module (12) connection end is connected to a cloud data storage device (20), the WiFi module (12) input end is connected to an image recognition database (21), and the WiFi module (12) input end is connected to an authorized personnel information database (22); The sound level meter branch management module comprises a branch manager (14), an input end of the branch manager (14) is connected to a power supply unit (15), an input end of the branch manager (14) is connected to a sound level meter (16), a connection end of the branch manager (14) is connected to a branch data storage (17), an input end of the branch manager (14) is connected to an image recognition module (18), and an input end of the image recognition module (18) is connected to a monitoring camera (19); The digital password module (3) is used to detect the password input when the mobile phone (13) accesses the system, judge whether the password is correct, and send the judgment result to the main controller (1) for processing; The cloud data storage (20) is used to store data measured by the sound level meter (16) in the cloud; The sound level meter (16) is used to detect noise data and transmit the noise data to the branch manager (14) for processing; The monitoring camera (19) is used to capture the external situation of the sound level meter (16) and transmit the image data to the branch manager (14) for processing; The image recognition module (18) is used to compare the photo of the sound level meter (16) taken by the monitoring camera (19) with the photo in the image recognition database (21), to determine whether the external photo of the sound level meter (16) is normal, thereby determining whether the sound level meter (16) is operating normally, and transmitting the determination result to the branch manager (14) for processing.

2. A sound level meter cloud networking data retrieval management system according to claim 1, characterized in that: The master controller (1) is configured as a programmable PLC.

3. A sound level meter cloud networking data retrieval management system according to claim 1, characterized in that: The branch manager (14) is configured as a single chip microcomputer, and the branch manager (14) is connected to a connection end of the WiFi module (12).

4. A sound level meter cloud networking data retrieval management system according to claim 1, characterized in that: The model of the sound level meter (16) is HY139.

5. A sound level meter cloud networking data retrieval management system according to claim 2, characterized in that: The programmable PLC model is set to S7-300.

6. A sound level meter cloud networking data retrieval management system according to claim 3, characterized in that: The microcontroller model is set to M68HC16.

7. A sound level meter cloud networking data retrieval management system according to claim 1, characterized in that: The model of the WiFi module (12) is set to TLN13UA06, and the model of the digital password module (3) is set to NC-8025.

8. A sound level meter cloud networking data retrieval and management system according to claim 1, characterized in that: The model of the image recognition module (18) is set to AR0230.

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