Oil and gas production robot comprehensive monitoring system based on Internet of things and cloud computing

[0013] Such as figure 1 As shown, the omni-directional monitoring system for oil and gas production robots based on the Internet of Things and cloud computing is composed of multiple oil and gas production robot monitors and an oil and gas production robot monitoring center. The oil and gas production robot monitor includes a wireless communication module, a micro Processor module, temperature and humidity sensor, human body sensor, radar obstacle avoidance sensor, CO detector, CH 4 Detector, analog-to-digital converter, signal conditioning circuit, camera and intelligent robot; said microprocessor module includes signal input port, microprocessor, memory, power interface and signal output port; said oil and gas production robot monitoring center Including wireless gateway, cloud server, central monitor and alarm. Temperature and humidity sensor, human body induction sensor, radar obstacle avoidance sensor, CO detector, CH in oil and gas production robot monitor 4 The detector is connected to the input of the analog-to-digital converter, the output of the analog-to-digital converter is connected to the input of the signal conditioning circuit, and the output of the signal conditioning circuit, camera, and intelligent robot signal output are connected to the signal input of the microprocessor module Port, the power supply is connected to the power interface of the microprocessor module, the signal output port of the microprocessor module is connected to the wireless communication module and the signal input end of the intelligent robot; the wireless gateway in the oil and gas production robot monitoring center is connected to the cloud server, the cloud server Connect with the central monitor, the central monitor is connected with the alarm, the wireless gateway in the oil and gas production robot monitoring center and the wireless communication module in the oil and gas production robot monitor are wirelessly connected to realize one-to-many two-way wireless communication.

[0014] In order to further improve the performance of the omni-directional monitoring system for oil and gas production robots based on the Internet of Things and cloud computing, the microprocessor in the microprocessor module of the oil and gas production robot monitor uses an enhanced microprocessor of the STM32F103VTE6 model. The analog-to-digital converter in the oil and gas production robot monitor uses the AD9283 high-speed analog-to-digital converter, and the wireless communication module in the oil and gas production robot monitor uses the CC2530 high-performance communication module. The wireless communication module in the oil and gas production robot monitor and the wireless gateway in the oil and gas production robot monitoring center communicate wirelessly through the Zigbee protocol.

[0015] In order to further improve the performance of the omni-directional monitoring system for oil and gas production robots based on the Internet of Things and cloud computing, the temperature and humidity sensor in the oil and gas production robot monitor adopts a high-performance temperature and humidity sensor of the DHT11 model. The human body sensing sensor in the oil and gas production robot monitor adopts the AMG88 type human body sensing sensor capable of detecting temperature in a two-dimensional area. The radar obstacle avoidance sensor in the oil and gas production robot monitor uses the KR644 model, a high-performance radar obstacle avoidance sensor that can effectively detect changes in light intensity.

[0016] The all-round monitoring system for oil and gas production robots based on the Internet of Things and cloud computing can perform real-time, accurate and all-round monitoring and management of oil and gas production robots, and discover and deal with unsafe hidden dangers in time. The oil and gas production robot monitor realizes the real-time collection function of video image information through the camera equipped with the robot. The collected video information is processed by the enhanced microprocessor of the STM32F103VTE6 model in the microprocessor module and then passed through the high-performance wireless communication of the CC2530 model The module is sent to the oil and gas production robot monitoring center through the Zigbee protocol, and the operator can watch the video image sent back by the robot through the control terminal to achieve the purpose of mobile wireless video monitoring.

[0017] The temperature and humidity sensor adopts the DHT11 high-performance temperature and humidity sensor to sense the temperature and humidity changes around the smart robot; the human body sensor AMG88 is a human body sensor sensor that can detect temperature in a two-dimensional area, which can perform within 3 to 7 meters The detection of signs of life realizes the detection of the stationary human body and the moving direction, and measures the temperature distribution in the area; the radar obstacle avoidance sensor adopts the KR644 type high performance radar obstacle avoidance sensor that can effectively detect changes in light intensity, making intelligent robots The autonomous obstacle avoidance function is realized without the control of the operator; each sensor converts the collected analog signal into a digital signal through the AD9283 high-speed analog-to-digital converter, and then transmits it to the STM32F103VTE6 model in the microprocessor module through the signal conditioning circuit After being processed by the microprocessor module, the high-performance wireless communication module of the CC2530 model sends dangerous information to the oil and gas production robot monitoring center through the Zigbee protocol.

[0018] CO detector, CH 4 The detector detects CO and CH in the surrounding environment 4 The concentration of combustible gas, when it is detected that the concentration of combustible gas exceeds the limit, the collected analog signal is converted into a digital signal through the AD9283 high-speed analog-to-digital converter, and then sent to the enhanced STM32F103VTE6 model in the microprocessor module through the signal conditioning circuit The microprocessor sends the dangerous information to the central monitor through the CC2530 high-performance wireless communication module through the Zigbee protocol. The central monitor activates the alarm and remotely controls the intelligent robot to take timely countermeasures.

[0019] After the central monitor receives the information, the cloud server further aggregates, analyzes and stores it, and sends the analysis results to the central monitor. The central monitor can accurately understand the working status of oil and gas production robots, oil and gas production in real time, and The robot can be remotely controlled. Through the unified management of multiple oil and gas production robot monitors, it realizes all-round monitoring of oil and gas production, making oil and natural gas production more visible, intelligent and human.

[0020] The all-round monitoring system for oil and gas production robots based on the Internet of Things and cloud computing has the advantages of simple structure, wide coverage, intelligence, humanization, and comprehensiveness. It can perform all-round intelligent monitoring of oil and gas production robots, and has cloud storage and The calculation feature makes the monitoring information storage and processing more efficient and safer. When an accident occurs, the system can automatically alarm, ensuring the safe production of oil and natural gas.

[0021] The scope of protection of the present invention relates to all the above-mentioned variants.