Chemical engineering processing workshop monitoring system

Abstract

The invention discloses a chemical engineering processing workshop monitoring system, and particularly relates to the technical field of monitoring, the chemical engineering processing workshop monitoring system comprises a monitoring master controller, the input end of the monitoring master controller is connected with a face recognition module, the input end of the face recognition module is connected with a face recognition camera, the input end of the monitoring master controller is connected with an image recognition module, and the input end of the image recognition module is connected with a camera. The input end of the image recognition module is connected with an image recognition camera, and the input end of the monitoring master controller is connected with a chlorine gas sensor. Through the arrangement of the monitoring master controller, the face recognition module, the image recognition module, the chlorine gas sensor, the ammonia gas sensor and other structures, the system can automatically give an alarm, the personnel condition, the processing condition and the concentration condition of various harmful gases in a workshop are monitored in real time, the use safety of the system is remarkably improved, and the working efficiency is improved. And the life health of workers is guaranteed, so that the actual use effect of the device is relatively good.

Description

Technical Field

[0001] The present invention relates to the field of monitoring technology, and more specifically, to a monitoring system for a chemical engineering processing workshop. Background Art

[0002] Chemical engineering, referred to as chemical engineering, is a comprehensive engineering field that covers the entire process from raw material processing to product manufacturing, involving chemical reactions, process optimization, environmental protection and other aspects. Chemical engineering processing workshops are where chemical production, chemical processing and other chemical engineering processes are carried out. When in use, existing chemical engineering processing workshops only have simple video surveillance functions and are unable to monitor the dangerous gases generated and leaked during chemical production. This results in low safety in existing chemical engineering processing workshops, which is not conducive to the life and health of staff.

[0003] Therefore, there is an urgent need for a chemical engineering processing workshop monitoring 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 chemical engineering processing workshop monitoring system. By providing a monitoring master controller, a face recognition module, an image recognition module, a chlorine sensor, an ammonia sensor and other structures, the present invention can automatically alarm and monitor the personnel situation, processing situation and concentration of various harmful gases inside the workshop in real time, which significantly improves the safety of use of the present invention, protects the life and health of the staff, and makes the actual use effect of the present invention better, 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 chemical engineering processing workshop monitoring system, comprising a monitoring main controller, the input end of the monitoring main controller is connected to a face recognition module, the input end of the face recognition module is connected to a face recognition camera, the input end of the monitoring main controller is connected to an image recognition module, the input end of the image recognition module is connected to an image recognition camera, the input end of the monitoring main controller is connected to a chlorine sensor, the input end of the monitoring main controller is connected to an ammonia sensor, the input end of the monitoring main controller is connected to a sulfur dioxide sensor, the input end of the monitoring main controller is connected to a hydrogen fluoride sensor, the input end of the monitoring main controller is connected to a carbon monoxide sensor, and the input end of the monitoring main controller is connected to a chlorine sensor. The controller input end is connected to a hydrogen sulfide sensor, the monitoring master controller output end is connected to a harmful gas alarm, the monitoring master controller output end is connected to a personnel abnormality alarm, the monitoring master controller input end is connected to a power module, the monitoring master controller connection end is connected to a WiFi module, the WiFi module connection end is connected to a supervision controller, the supervision controller output end is connected to a face recognition display screen, the supervision controller output end is connected to an image recognition display screen, the supervision controller output end is connected to a harmful gas concentration display screen, the supervision controller input end is connected to a control panel, the control panel input end is connected to a manual alarm button, and the control panel input end is connected to an alarm stop button; The face recognition module is used to recognize the face captured by the face recognition camera and send the recognition result to the monitoring main controller for processing; The face recognition camera is used to capture the faces of people in the chemical engineering processing workshop and send them to the face recognition module for recognition; The image recognition module is used to recognize the pictures of the internal processing conditions of the chemical engineering processing workshop taken by the image recognition camera, and send the recognition results to the monitoring master controller for processing; The image recognition camera is used to take pictures of the processing conditions inside the chemical engineering processing workshop and send them to the image recognition module for recognition; The chlorine gas sensor is used to detect the chlorine gas concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller for processing; The ammonia sensor is used to detect the ammonia concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller for processing; The sulfur dioxide sensor is used to detect the sulfur dioxide concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller for processing; The hydrogen fluoride sensor is used to detect the concentration of hydrogen fluoride inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller for processing; The carbon monoxide sensor is used to detect the carbon monoxide concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller for processing; The hydrogen sulfide sensor is used to detect the hydrogen sulfide concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring main controller for processing.

[0006] In a preferred embodiment, the monitoring master controller is configured as a programmable PLC, and the programmable PLC model is configured as S7-300.

[0007] In a preferred embodiment, the supervisory controller is configured as a single-chip microcomputer, and the model of the single-chip microcomputer is set to M68HC16.

[0008] In a preferred implementation, the face recognition module model is set to MF0 K210, and the image recognition module model is set to AR0230.

[0009] In a preferred embodiment, the chlorine gas sensor model is set to 4CL2-10, and the ammonia gas sensor model is set to NH3 3E 5000 SE.

[0010] In a preferred embodiment, the sulfur dioxide sensor model is set to SO2-BF, and the hydrogen fluoride sensor model is set to 485 hydrogen fluoride HF gas sensor.

[0011] In a preferred embodiment, the carbon monoxide sensor is set to a model of CO / C-1000, and the hydrogen sulfide sensor is set to a model of ME4-H2S.

[0012] In a preferred embodiment, the WiFi module model is set to TLN13UA06.

[0013] Technical effects and advantages of the present invention: The present invention is provided with a monitoring master controller, a face recognition module, an image recognition module, a chlorine sensor, an ammonia sensor and other structures, so that the present invention can automatically alarm and monitor the personnel situation, processing situation and concentration of various harmful gases in the workshop in real time, which significantly improves the safety of the use of the present invention, protects the life and health of the staff, and makes the actual use effect of the present invention better. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0015] Figure 2 This is the circuit diagram of the monitoring master controller of the present invention.

[0016] Figure 3This is a circuit diagram of a supervisory controller according to the present invention.

[0017] The accompanying drawings are marked as follows: 1. Monitoring main controller; 2. Face recognition module; 3. Face recognition camera; 4. Image recognition module; 5. Image recognition camera; 6. Chlorine sensor; 7. Ammonia sensor; 8. Sulfur dioxide sensor; 9. Hydrogen fluoride sensor; 10. Carbon monoxide sensor; 11. Hydrogen sulfide sensor; 12. Harmful gas alarm; 13. Personnel abnormal alarm; 14. Power module; 15. WiFi module; 16. Supervision controller; 17. Face recognition display; 18. Image recognition display; 19. Harmful gas concentration display; 20. Control panel; 21. Manual alarm button; 22. Alarm stop button. DETAILED DESCRIPTION

[0018] 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.

[0019] As attached Figure 1 , Attachment Figure 2 and attached Figure 3As shown, the present invention provides a chemical engineering processing workshop monitoring system, including a monitoring main controller 1, the input end of the monitoring main controller 1 is connected to a face recognition module 2, the face recognition module is a biometric recognition technology, which uses a camera to capture and analyze the characteristics of the face, such as the shape, size, position and other information of the eyes, mouth, nose and other parts, so as to identify the identity of the person, the input end of the face recognition module 2 is connected to a face recognition camera 3, the input end of the monitoring main controller 1 is connected to an image recognition module 4, 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 4 is connected to an image recognition camera 5, The input end of the monitoring master controller 1 is connected to a chlorine sensor 6, which is mainly used to detect the concentration of chlorine (Cl2) in the environment to ensure the safety of the workplace or living environment. This type of sensor usually adopts electrochemical principles or semiconductor principles to measure the chlorine concentration by detecting the chemical reaction or conductivity change between chlorine and the sensor material. The input end of the monitoring master controller 1 is connected to an ammonia sensor 7, which is used to detect the concentration of ammonia (NH3) in the air. It is widely used in the chemical, fertilizer, pharmaceutical and other industries. Its working principle includes electrochemical method, catalytic combustion method, etc., and the ammonia concentration is determined by measuring the electrical signal generated by the reaction of ammonia and sensor materials. The input end of the monitoring master controller 1 is connected to a sulfur dioxide sensor Device 8, the sulfur dioxide sensor is used to monitor the concentration of sulfur dioxide (SO2) in the air, which is of great significance for environmental protection and industrial production process control. This type of sensor usually adopts the electrochemical principle and detects its concentration by measuring the electrochemical reaction between sulfur dioxide and electrode materials. The input end of the monitoring master controller 1 is connected to a hydrogen fluoride sensor 9. The hydrogen fluoride sensor is used to accurately detect the concentration of hydrogen fluoride (HF) gas in the environment. It is commonly used in chemical, metallurgical, electronic and other industries. Its high precision, fast response and good stability make it an indispensable safety monitoring device in these industries. The input end of the monitoring master controller 1 is connected to a carbon monoxide sensor 10. The carbon monoxide sensor is used to detect carbon monoxide (CO) in the air. The concentration of carbon monoxide is an important tool for preventing carbon monoxide poisoning. The input end of the monitoring main controller 1 is connected to a hydrogen sulfide sensor 11. The hydrogen sulfide sensor is used to detect the concentration of hydrogen sulfide (H2S) in the air. It is widely used in petroleum, chemical, metallurgy and other industries. This type of sensor measures its concentration by detecting the chemical reaction or conductivity change between hydrogen sulfide and the sensor material. The output end of the monitoring main controller 1 is connected to a harmful gas alarm 12. The output end of the monitoring main controller 1 is connected to a personnel abnormality alarm 13. The input end of the monitoring main controller 1 is connected to a power module 14. The connection end of the monitoring main controller 1 is connected to a WiFi module 15. The WiFi module is also called a serial port Wi-Fi module and belongs to the Internet of Things transmission layer.The function is to convert the serial port or TTL level into an embedded module that complies with the Wi-Fi wireless network communication standard, with a built-in wireless network protocol IEEE802.11b.gn protocol stack and a TCP / IP protocol stack. The connection end of the WiFi module 15 is connected to a supervision controller 16, the output end of the supervision controller 16 is connected to a face recognition display screen 17, the output end of the supervision controller 16 is connected to an image recognition display screen 18, the output end of the supervision controller 16 is connected to a harmful gas concentration display screen 19, the input end of the supervision controller 16 is connected to a control panel 20, the input end of the control panel 20 is connected to a manual alarm button 21, and the input end of the control panel 20 is connected to an alarm stop button 22; The face recognition module 2 is used to recognize the face captured by the face recognition camera 3, and send the recognition result to the monitoring controller 1 for processing; The face recognition camera 3 is used to capture the faces of people in the chemical engineering processing workshop and send them to the face recognition module 2 for recognition; The image recognition module 4 is used to recognize the pictures of the internal processing conditions of the chemical engineering processing workshop taken by the image recognition camera 5, and send the recognition results to the monitoring controller 1 for processing; The image recognition camera 5 is used to take pictures of the processing conditions inside the chemical engineering processing workshop and send them to the image recognition module 4 for recognition; The chlorine gas sensor 6 is used to detect the chlorine gas concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller 1 for processing; The ammonia sensor 7 is used to detect the ammonia concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring main controller 1 for processing; The sulfur dioxide sensor 8 is used to detect the sulfur dioxide concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring main controller 1 for processing; The hydrogen fluoride sensor 9 is used to detect the concentration of hydrogen fluoride inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller 1 for processing; The carbon monoxide sensor 10 is used to detect the carbon monoxide concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring main controller 1 for processing; The hydrogen sulfide sensor 11 is used to detect the concentration of hydrogen sulfide inside the chemical engineering processing workshop, and transmit the detection result to the monitoring main controller 1 for processing.

[0020] The monitoring master controller 1 is set as a programmable PLC, which is an electronic device for digital operation 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. The programmable PLC model is set to S7-300.

[0021] The supervisory controller 16 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 silicon chip to form a small and complete microcomputer system. The single-chip microcomputer model is set to M68HC16.

[0022] The face recognition module 2 model is set to MF0 K210, and the image recognition module 4 model is set to AR0230.

[0023] The model of the chlorine gas sensor 6 is set to 4CL2-10, and the model of the ammonia gas sensor 7 is set to NH3 3E 5000SE.

[0024] The model of the sulfur dioxide sensor 8 is set to SO2-BF, and the model of the hydrogen fluoride sensor 9 is set to 485 type hydrogen fluoride HF gas sensor.

[0025] The carbon monoxide sensor 10 is modeled as CO / C-1000, and the hydrogen sulfide sensor 11 is modeled as ME4-H2S.

[0026] The model of the WiFi module 15 is set to TLN13UA06.

[0027] The specific implementation method is as follows: when using the present invention, the face recognition module 2 can recognize the face photographed by the face recognition camera 3, and send the recognition result to the monitoring controller 1 for processing. The face recognition camera 3 can take pictures of the faces of people in the chemical engineering processing workshop and send them to the face recognition module 2 for recognition. If the recognition result is an unauthorized person, an alarm is directly triggered. The image recognition module 4 can recognize the pictures of the internal processing conditions of the chemical engineering processing workshop taken by the image recognition camera 5, and send the recognition result to the monitoring controller 1 for processing. The image recognition camera 5 can take pictures of the chemical engineering processing workshop. The image of the internal processing situation is sent to the image recognition module 4 for recognition. If the recognition result is abnormal, an alarm is directly triggered. The chlorine sensor 6 can detect the chlorine concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller 1 for processing. The ammonia sensor 7 can detect the ammonia concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller 1 for processing. If the concentration is too high, an alarm is directly triggered. The sulfur dioxide sensor 8 can detect the sulfur dioxide concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller 1 for processing. If the concentration is too high, an alarm is directly triggered. Direct alarm, hydrogen fluoride sensor 9 can detect the concentration of hydrogen fluoride inside the chemical engineering processing workshop, and transmit the detection result to the monitoring master controller 1 for processing. If the concentration is too high, it will directly alarm. The carbon monoxide sensor 10 can detect the concentration of carbon monoxide inside the chemical engineering processing workshop, and transmit the detection result to the monitoring master controller 1 for processing. If the concentration is too high, it will directly alarm. The hydrogen sulfide sensor 11 can detect the concentration of hydrogen sulfide inside the chemical engineering processing workshop, and transmit the detection result to the monitoring master controller 1 for processing. If the concentration is too high, it will directly alarm. The staff can view the face photos, the photos of the production situation inside the workshop and the harmful gas concentration information through the face recognition display screen 17, the image recognition display screen 18 and the harmful gas concentration display screen 19. When the staff finds that one or more of the information on the three screens is abnormal, the control panel 20 can be used to alarm. When the abnormality is resolved, the alarm can also be released through the control panel 20. This allows the present invention to automatically alarm and monitor the personnel situation, processing situation and various harmful gas concentrations inside the workshop in real time, which significantly improves the safety of the present invention, protects the life and health of the staff, and makes the actual use effect of the present invention better.

[0028] Working principle of the present invention: Refer to the instruction manual Figure 1 , Attachment Figure 2 and attached Figure 3When using the present invention, by providing structures such as the monitoring master controller 1, the face recognition module 2, the image recognition module 4, the chlorine sensor 6 and the ammonia sensor 7, the present invention can automatically alarm and monitor the personnel situation, processing situation and concentration of various harmful gases in the workshop in real time, which significantly improves the safety of the use of the present invention, protects the life and health of the staff, and makes the actual use effect of the present invention better.

[0029] 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 chemical engineering processing workshop monitoring system, comprising a monitoring master controller (1), characterized in that: The input end of the monitoring master controller (1) is connected to a face recognition module (2), the input end of the face recognition module (2) is connected to a face recognition camera (3), the input end of the monitoring master controller (1) is connected to an image recognition module (4), the input end of the image recognition module (4) is connected to an image recognition camera (5), the input end of the monitoring master controller (1) is connected to a chlorine sensor (6), the input end of the monitoring master controller (1) is connected to an ammonia sensor (7), the input end of the monitoring master controller (1) is connected to a sulfur dioxide sensor (8), the input end of the monitoring master controller (1) is connected to a hydrogen fluoride sensor (9), the input end of the monitoring master controller (1) is connected to a carbon monoxide sensor (10), the input end of the monitoring master controller (1) is connected to a hydrogen sulfide sensor (11), and the output end of the monitoring master controller (1) is connected to A harmful gas alarm (12), wherein the output end of the monitoring master controller (1) is connected to a personnel abnormality alarm (13), the input end of the monitoring master controller (1) is connected to a power module (14), the connection end of the monitoring master controller (1) is connected to a WiFi module (15), the connection end of the WiFi module (15) is connected to a supervision controller (16), the output end of the supervision controller (16) is connected to a face recognition display screen (17), the output end of the supervision controller (16) is connected to an image recognition display screen (18), the output end of the supervision controller (16) is connected to a harmful gas concentration display screen (19), the input end of the supervision controller (16) is connected to a control panel (20), the input end of the control panel (20) is connected to a manual alarm button (21), and the input end of the control panel (20) is connected to an alarm stop button (22); The face recognition module (2) is used to recognize a face photographed by the face recognition camera (3), and send the recognition result to the monitoring main controller (1) for processing; The face recognition camera (3) is used to photograph the faces of people in the chemical engineering processing workshop and send them to the face recognition module (2) for recognition; The image recognition module (4) is used to recognize the image of the internal processing conditions of the chemical engineering processing workshop taken by the image recognition camera (5), and send the recognition result to the monitoring main controller (1) for processing; The image recognition camera (5) is used to take pictures of the processing conditions inside the chemical engineering processing workshop and send them to the image recognition module (4) for recognition; The chlorine gas sensor (6) is used to detect the chlorine gas concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller (1) for processing; The ammonia sensor (7) is used to detect the ammonia concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller (1) for processing; The sulfur dioxide sensor (8) is used to detect the sulfur dioxide concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller (1) for processing; The hydrogen fluoride sensor (9) is used to detect the concentration of hydrogen fluoride inside the chemical engineering processing workshop, and transmit the detection result to the monitoring master controller (1) for processing; The carbon monoxide sensor (10) is used to detect the carbon monoxide concentration inside the chemical engineering processing workshop and transmit the detection result to the monitoring master controller (1) for processing; The hydrogen sulfide sensor (11) is used to detect the concentration of hydrogen sulfide inside a chemical engineering processing workshop, and transmit the detection result to the monitoring master controller (1) for processing.

2. A chemical engineering processing workshop monitoring system according to claim 1, characterized in that: The monitoring master controller (1) is configured as a programmable PLC, and the model of the programmable PLC is configured as S7-300.

3. A chemical engineering processing workshop monitoring system according to claim 1, characterized in that: The supervision controller (16) is configured as a single-chip microcomputer, and the model of the single-chip microcomputer is configured as M68HC16.

4. A chemical engineering processing workshop monitoring system according to claim 1, characterized in that: The model of the face recognition module (2) is set to MF0 K210, and the model of the image recognition module (4) is set to AR0230.

5. A chemical engineering processing workshop monitoring system according to claim 1, characterized in that: The model of the chlorine gas sensor (6) is set to 4CL2-10, and the model of the ammonia gas sensor (7) is set to NH3 3E 5000 SE.

6. A chemical engineering processing workshop monitoring system according to claim 1, characterized in that: The model of the sulfur dioxide sensor (8) is set to SO2-BF, and the model of the hydrogen fluoride sensor (9) is set to 485 type hydrogen fluoride HF gas sensor.

7. A chemical engineering processing workshop monitoring system according to claim 1, characterized in that: The model of the carbon monoxide sensor (10) is set to CO / C-1000, and the model of the hydrogen sulfide sensor (11) is set to ME4-H2S.

8. A chemical engineering processing workshop monitoring system according to claim 1, characterized in that: The model of the WiFi module (15) is set to TLN13UA06.

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