Hydrogen fuel cell air compressor performance monitoring system based on cloud platform

Abstract

The utility model discloses a hydrogen fuel cell air compressor performance monitoring system based on a cloud platform. The system comprises a controller, a temperature sensor, a gas path pressure sensor, a water path pressure sensor, a gas path flow sensor, a water path flow sensor, a vibration sensor, an AD conversion module, an air compressor driver, an air compressor and an Internet of Things module. The sensor collects the operation state of the air compressor and communicates with the controller through the AD conversion module, the controller analyzes and processes collected sensor signals, and the controller converts sent control instructions into signals needed by the air compressor driver through the second module to enable the air compressor to work. Meanwhile, the controller is connected with the Internet of Things module to communicate with the cloud platform. The system can automatically control the operation of the air compressor according to the data of each sensor, and can automatically adjust the rotating speed of the air compressor or directly close the air compressor when the value of the related sensor exceeds or is lower than the corresponding set threshold value. The operation state of the air compressor can be monitored in real time through the terminal of the cloud platform, and the air compressor can be remotely controlled. The circuit is simple in structure, stable in work, capable of being remotely monitored, and high in monitoring safety.

Description

Technical Field

[0001] The utility model relates to the field of air compressor monitoring, and in particular to a hydrogen fuel cell air compressor performance monitoring system based on a cloud platform. Background Art

[0002] In 2020, my country proposed the "dual carbon" policy, advocating a "low-carbon, green, and environmentally friendly" production and lifestyle. The low-carbon development of the automotive industry is of strategic significance for the implementation of the "dual carbon" policy. Hydrogen fuel cell vehicles have been widely studied and practiced due to their zero emissions, high efficiency, and fast charging characteristics. As the "heart" of hydrogen fuel cells, the stable and long-term operation of air compressors is crucial.

[0003] In recent years, some online monitoring systems for air compressors have emerged in response to the monitoring of air compressor systems. For example, the utility model document with application number 202221892115.2 discloses an online status monitoring system for air compressors in a cigarette factory. The system mainly adopts a controller, a data receiving end, a switch exchanger, a temperature sensor, a vibration sensor, a display module and an alarm. The sensor is used to monitor the operating status of the air compressor motor. When a fault occurs, the controller will alarm. After receiving the alarm signal, the staff will shut down the machine as needed.

[0004] Traditional air compressor monitoring systems have little monitoring data, do not support automatic shutdown due to faults, and require manual processing after the alarm, which increases the workload of staff. They do not support remote monitoring, and there is a risk of explosion during the operation of the air compressor, which can easily cause casualties and property losses to on-site monitoring personnel. Summary of the invention

[0005] In view of the above shortcomings, the utility model provides a hydrogen fuel cell air compressor performance monitoring system based on a cloud platform.

[0006] In order to solve the above technical problems, the technical solution of the utility model is as follows:

[0007] A hydrogen fuel cell air compressor performance monitoring system based on a cloud platform includes: an AC220V / DC24V power supply, a controller, a temperature sensor, an air path pressure sensor, a water path pressure sensor, an air path flow sensor, a water path flow sensor, a vibration sensor, an AD conversion module, an air compressor driver, an air compressor, an Internet of Things module, and a cloud platform.

[0008] Specifically, the controller is connected to an AD conversion module, an air compressor driver, and an Internet of Things module; the AD conversion module is connected to a temperature sensor, an air circuit pressure sensor, a water circuit pressure sensor, an air circuit flow sensor, and a water circuit flow sensor; and the air compressor driver is connected to the air compressor.

[0009] Specifically, the controller is a PLC.

[0010] Specifically, the controller is used to convert the signal type of the collected sensor signal into floating-point data, and calculate the collected signal into corresponding temperature, flow, pressure, and vibration data.

[0011] Specifically, the controller is used to receive sensor data and determine whether the sensor data exceeds a threshold value. If so, the controller sends a shutdown signal or a speed adjustment signal. The air compressor driver shuts down the air compressor according to the shutdown signal or automatically adjusts the air compressor speed according to the speed adjustment signal.

[0012] Specifically, the controller communicates with the Internet of Things module, processes instructions sent by the cloud platform and uploads data to the cloud platform.

[0013] Specifically, the gas path pressure sensor is a 0-5V analog pressure transmitter.

[0014] Specifically, the water circuit pressure sensor is a 1-5V analog pressure transmitter.

[0015] Specifically, the gas path flow sensor is a 0-10V analog vortex flow sensor.

[0016] Specifically, the water channel flow sensor is a 2-10V analog vortex flow sensor.

[0017] Specifically, the temperature sensor is a T-type thermocouple.

[0018] Specifically, the AD conversion module temperature sensor is connected to the air circuit pressure sensor, the air circuit flow sensor, the water circuit pressure sensor, the water circuit flow sensor, and the vibration sensor to convert the analog signal into a digital signal, so that the controller can collect data from the temperature sensor, the air circuit pressure sensor, the air circuit flow sensor, the water circuit pressure sensor, the water circuit flow sensor, and the vibration sensor.

[0019] Specifically, the AD conversion module converts the analog signal of the sensor into a digital signal that can be processed by the controller.

[0020] Specifically, the controller may set a warning threshold. When the sensor data exceeds or falls below the warning threshold, the controller issues a speed adjustment instruction, and the air compressor driver adjusts the air compressor speed according to the instruction.

[0021] Specifically, the controller may set a fault threshold. When the sensor data exceeds or falls below the fault threshold, the controller issues a shutdown command, and the air compressor driver shuts down the air compressor according to the command.

[0022] Specifically, the Internet of Things module is used for communication between the cloud platform and the controller, receives instructions issued by the cloud platform and sends them to the controller for processing, and collects sensor data processed by the controller to the cloud platform.

[0023] Specifically, the IoT module communicates with the controller using the MODBUS RTU protocol, and communicates with the cloud platform using 4G.

[0024] Specifically, the AC220V / DC24V power supply module converts the voltage into 24V to power the temperature sensor, gas path pressure sensor, gas path flow sensor, water path pressure sensor, water path flow sensor, vibration sensor, and AD conversion module.

[0025] The beneficial effects of the utility model are:

[0026] In the utility model, the staff can remotely monitor the operation of the air compressor and control the operating status of the air compressor to prevent casualties caused by problems such as explosion during the operation of the air compressor; when the sensor detects that the data exceeds the threshold, it automatically adjusts the speed or shuts down, and sends a text message alarm to the staff through the cloud platform, without the need for manual operation, greatly reducing the workload of the staff; because it does not require manual supervision, it is practical for durability performance testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a hardware structure diagram of a hydrogen fuel cell air compressor performance monitoring system based on a cloud platform in the utility model. DETAILED DESCRIPTION

[0028] The present invention is further explained below in conjunction with the accompanying drawings and embodiments, which should not be used to limit the protection scope of the present invention. The purpose of disclosing the present invention is to protect all technical improvements within the scope of the present invention.

[0029] A hydrogen fuel cell air compressor performance monitoring system based on a cloud platform includes: an AC220V / DC24V power supply, a controller, a temperature sensor, an air path pressure sensor, a water path pressure sensor, an air path flow sensor, a water path flow sensor, a vibration sensor, an AD conversion module, an air compressor driver, an air compressor, an Internet of Things module, and a cloud platform.

[0030] The controller is connected to the AD conversion module, the air compressor driver, and the Internet of Things module; the AD conversion module is connected to the temperature sensor, the gas circuit pressure sensor, the water circuit pressure sensor, the gas circuit flow sensor, the water circuit flow sensor, and the vibration sensor; and the air compressor driver is connected to the air compressor.

[0031] The controller is a PLC; the controller is used to receive sensor data and determine whether the sensor data exceeds a threshold value. If exceeded, the controller sends a shutdown signal or a speed adjustment signal. The air compressor driver shuts down the air compressor according to the shutdown signal or drives the air compressor according to the speed adjustment signal to adjust the speed of the air compressor.

[0032] The IoT module is used for communication between the cloud platform and the controller. It receives instructions from the cloud platform and sends them to the controller for processing, and collects sensor data processed by the controller to the cloud platform.

[0033] The cloud platform can make threshold judgments based on sensor data, and if it exceeds or falls below the threshold, it can notify the staff via text message.

[0034] The controller uploads the processed sensor data to the cloud platform through the Internet of Things module, and the cloud platform interface displays the sensor data; the cloud platform is also equipped with power on, power off, run, stop, and speed setting switches.

[0035] By adopting the utility model, the staff can remotely monitor and control the air compressor through the cloud platform interface, which solves the problem that the existing air compressor monitoring system cannot remotely monitor the air compressor and cannot control the air compressor.

[0036] By adopting the utility model, the system can automatically determine whether the sensor data exceeds the set threshold value, and automatically adjust the speed or shut down if it exceeds the threshold value, thus solving the problem that the existing air compressor monitoring system cannot automatically shut down due to faults.

[0037] The utility model is introduced in detail above. Specific examples are used in this article to illustrate the principle and implementation mode of the utility model. The description of the above embodiments is only used to help understand the method and core idea of ​​the utility model. At the same time, for general technicians in this field, according to the idea of ​​the utility model, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as a limitation on the utility model.

[0038] Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented. Of course, the above-listed situations are only examples, and the present invention is not limited thereto. Those skilled in the art should understand that other variations or simplifications according to the technical solution of the present invention can be appropriately applied to the present invention and should be included in the scope of the present invention.

Claims

1. A hydrogen fuel cell air compressor performance monitoring system based on a cloud platform, characterized in that: The system includes: AC220V / DC24V power module, controller, temperature sensor, gas circuit pressure sensor, water circuit pressure sensor, gas circuit flow sensor, water circuit flow sensor, vibration sensor, AD conversion module, air compressor driver, air compressor, Internet of Things module, and cloud platform.

2. A cloud platform-based hydrogen fuel cell air compressor performance monitoring system according to claim 1, characterized in that: The controller is connected to an AD conversion module, an air compressor driver, and an Internet of Things module; the AD conversion module is connected to a temperature sensor, an air circuit pressure sensor, a water circuit pressure sensor, an air circuit flow sensor, a water circuit flow sensor, and a vibration sensor; and the air compressor driver is connected to the air compressor.

3. The cloud platform-based hydrogen fuel cell air compressor performance monitoring system according to claim 1 is characterized in that: The controller is a PLC.

4. The cloud platform-based hydrogen fuel cell air compressor performance monitoring system according to claim 1 is characterized in that: The controller is used to receive sensor data and determine whether the sensor data exceeds a threshold value. If so, the controller sends a signal to shut down the air compressor or adjust the air compressor speed. The air compressor driver shuts down the air compressor according to the signal or automatically adjusts the air compressor speed according to the speed adjustment signal.

5. The cloud platform-based hydrogen fuel cell air compressor performance monitoring system according to claim 1 is characterized in that: The controller is used to communicate with the IoT module, process instructions from the cloud platform and upload data to the cloud platform.

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