A wastewater treatment dosing system based on cloud platform and LoRa

Abstract

The utility model relates to the technical field of wastewater treatment dosing system, in particular to a wastewater treatment dosing system based on cloud platform and LoRa, detection module, control module, data processing module and terminal module; the detection module and control module are connected to the wastewater pH adjustment zone, coagulation zone and flocculation zone, and communicate with the data processing module in two-way, the data processing module uploads data to the cloud platform and receives the control command of the cloud platform; the cloud platform communicates with the application terminal in two-way; wherein the detection module is connected to the pH value detection probe, turbidity meter 1 and turbidity meter 2 in the wastewater pH adjustment zone, coagulation zone and flocculation zone, and the control module is connected to the acid-base dosing pump, acid-base agitator, coagulant PAC dosing pump, coagulation agitator, coagulant PAM dosing pump and coagulant agitator in the wastewater pH adjustment zone, coagulation zone and flocculation zone. This system can be controlled and managed remotely, and can also realize single-machine operation, with 24-hour all-weather intelligent unmanned monitoring and control function.

Description

Technical Field

[0001] The utility model relates to the technical field of wastewater treatment dosing systems, in particular to a wastewater treatment dosing system based on a cloud platform and LoRa. Background Art

[0002] The treatment of printing and dyeing wastewater includes the need to adjust the water quality and water volume through the regulating tank to ensure the stable operation of the subsequent treatment equipment and the need to use chemical agents to coagulate and precipitate it, so that the dye molecules and other impurities are adsorbed, flocculated, and settled to form sludge before discharge. At present, most factories use mechanized control and manual timed and fixed-point sampling methods to monitor the treatment information of printing and dyeing wastewater. The effective information of the operation process can only be detected after a long time, and the real-time and effectiveness are poor. Utility Model Content

[0003] In order to overcome the existing deficiencies, the utility model provides a wastewater treatment dosing system based on a cloud platform and LoRa.

[0004] The technical solution adopted by the utility model to solve its technical problems is: a wastewater treatment dosing system based on a cloud platform and LoRa, a detection module, a control module, a data processing module and a terminal module; the detection module and the control module are connected to the wastewater pH adjustment zone, the coagulation zone and the flocculation zone, and communicate with the data processing module in a two-way manner, and the data processing module includes a microprocessing module, a LoRa wireless communication module, a power module, a LoRa gateway module and a cloud platform; the power module supplies power to the microprocessing module and the LoRa wireless communication module, and the microprocessing module collects data collected by the control module and the detection module data, output commands to the control module, and aggregate the data to the LoRa gateway module through the LoRa wireless communication module; the LoRa gateway module uploads the data to the cloud platform and receives control instructions from the cloud platform; the cloud platform and the application terminal communicate in two directions; wherein, the detection module is connected to the pH value detection probe, turbidity meter 1 and turbidity meter 2 in the wastewater pH adjustment zone, coagulation zone and flocculation zone, and the control module is connected to the acid and alkali dosing pump, acid and alkali agitator, coagulant PAC dosing pump, coagulation agitator, coagulant aid PAM dosing pump and coagulant aid agitator in the wastewater pH adjustment zone, coagulation zone and flocculation zone.

[0005] According to another embodiment of the utility model, the detection module further includes a chip CC2530, an RF antenna and a detection power supply; the detection power supply independently supplies power to the chip CC2530, the chip CC2530 receives data information of the pH value detection probe, turbidity meter one and turbidity meter two, and sends the information to the ZigBee coordinator through the RF antenna; the ZigBee coordinator is electrically connected to the data processing module.

[0006] According to another embodiment of the utility model, it further includes that the control module includes a chip CC2530, an RF antenna and a control power supply; the control power supply independently supplies power to the chip CC2530, and the chip CC2530 receives the control instructions of the ZigBee coordinator through the RF antenna, and issues the instructions to the acid and alkali dosing pump, the acid and alkali agitator, the coagulant PAC dosing pump, the coagulant agitator, the coagulant aid PAM dosing pump and the coagulant aid agitator.

[0007] According to another embodiment of the utility model, the microprocessor module further includes integrating a Cortex-M4 core, receiving underlying data packets through a ZigBee coordinator, performing analog-to-digital conversion and processing on the received signals from the wastewater pH adjustment zone, coagulation zone and flocculation zone, sending control commands to the control module through the ZigBee coordinator, and transmitting data to the LoRa wireless communication module.

[0008] According to another embodiment of the utility model, the LoRa gateway module can select 4G-LTE, 3G, 2G and Ethernet to wirelessly connect to the LoRa wireless communication module by selecting different communication protocols through the mCard daughter card board.

[0009] According to another embodiment of the utility model, it further includes that the cloud platform selects China Mobile's Internet of Things open platform, namely OneNet platform, as the storage and processing center of cloud data, and the data collected by the detection module is uploaded to the cloud platform in the EDP protocol data packet format that can be recognized by the platform, and the cloud platform EDP data packet instruction is sent to the detection module, and the data is stored in the server.

[0010] According to another embodiment of the utility model, it further includes that the application terminal uses a WeChat public account and a Web platform to send a request instruction to the cloud platform, and the cloud platform sends the data read from the database by the server back to the application terminal.

[0011] The beneficial effects of the utility model are as follows: utilizing the continuously developing Internet of Things, cloud computing and cloud storage technologies, adopting the long-distance transmission LoRa as the wireless transmission method, transmitting data to the OneNet cloud platform, reducing hardware investment, and using the widely popular WeChat public account and Web platform as the application terminal, so as to facilitate the staff to query information and manage in real time. Among them, the WeChat public platform and the Web platform realize real-time query of data, query of historical data, generation of trend change curves and analysis of other data; the system automatically, in real time, online and accurately grasps the treatment status of printing and dyeing wastewater in each workshop of the factory, making up for the shortcomings of discontinuous monitoring and lack of representativeness of monitoring data in traditional manual methods, while also greatly saving manpower and financial resources and improving the level of supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The utility model is further described below in conjunction with the accompanying drawings and embodiments.

[0013] Figure 1 It is a structural schematic diagram of the utility model;

[0014] Figure 2 It is the hardware design of the detection module and control module;

[0015] Figure 3 It is the hardware design of the data processing module;

[0016] Figure 4 It is the system data transmission flow chart. DETAILED DESCRIPTION

[0017] like Figure 1 The utility model is a schematic diagram of the structure of a wastewater treatment dosing system based on a cloud platform and LoRa, characterized in that it comprises a detection module, a control module, a data processing module and a terminal module; the detection module and the control module are connected to the wastewater pH adjustment zone, the coagulation zone and the flocculation zone, and communicate with the data processing module in a two-way manner; the data processing module comprises a microprocessing module, a LoRa wireless communication module, a power module, a LoRa gateway module and a cloud platform; the power module supplies power to the microprocessing module and the LoRa wireless communication module, and the microprocessing module collects data collected by the control module and the detection module. According to the data, output commands to the control module, and gather the data to the LoRa gateway module through the LoRa wireless communication module; the LoRa gateway module uploads the data to the cloud platform and receives the control instructions of the cloud platform; the cloud platform and the application terminal communicate in two directions; wherein, the detection module is connected to the pH value detection probe, turbidity meter one and turbidity meter two in the wastewater pH adjustment zone, coagulation zone and flocculation zone, and the control module is connected to the acid and alkali dosing pump, acid and alkali agitator, coagulant PAC dosing pump, coagulant agitator, coagulant aid PAM dosing pump and coagulant aid agitator in the wastewater pH adjustment zone, coagulation zone and flocculation zone.

[0018] The specific operation process is to send relevant electrical signals to relevant nodes through the pH detection probe, turbidity meter 1 and turbidity meter 2, the ZigBee acquisition node processes these received electrical signals to obtain corresponding data information, and transmits the processed data information to the data processing module through the ZigBee coordinator. The microprocessor module receives various data transmitted by the detection module and the control command sent by the LoRa gateway module, analyzes and processes the data obtained by the detection module and the LoRa gateway module, reports data to the LoRa gateway module, receives the underlying data and sends control instructions to the control module; the LoRa gateway module receives the data reported by the microprocessor module The cloud platform receives the data packets sent by the LoRa gateway module and the control commands sent by the application terminal, connects with the cloud platform for data transmission, and sends various indicator data to the cloud platform and control commands to the microprocessor; the cloud platform receives the data packets sent by the LoRa gateway module and the control commands sent by the application terminal for data communication, and sends control commands to the LoRa gateway module and various indicator data to the application terminal at the same time; the acid and alkali dosing pump, acid and alkali agitator, coagulant PAC dosing pump, coagulant agitator, coagulant aid PAM dosing pump and coagulant aid agitator receive the control commands sent by the microprocessor module through the ZigBee coordinator to be turned on and off, and transmit the turn on and off signals to the ZigBee coordinator.

[0019] According to another embodiment of the utility model, the detection module further includes a chip CC2530, an RF antenna and a detection power supply; the detection power supply independently supplies power to the chip CC2530, the chip CC2530 receives data information of the pH value detection probe, turbidity meter one and turbidity meter two, and sends the information to the ZigBee coordinator through the RF antenna; the ZigBee coordinator is electrically connected to the data processing module.

[0020] According to another embodiment of the utility model, it further includes that the control module includes a chip CC2530, an RF antenna and a control power supply; the control power supply independently supplies power to the chip CC2530, and the chip CC2530 receives the control instructions of the ZigBee coordinator through the RF antenna, and issues the instructions to the acid and alkali dosing pump, the acid and alkali agitator, the coagulant PAC dosing pump, the coagulant agitator, the coagulant aid PAM dosing pump and the coagulant aid agitator.

[0021] According to another embodiment of the utility model, the microprocessor module further includes integrating a Cortex-M4 core, receiving underlying data packets through a ZigBee coordinator, performing analog-to-digital conversion and processing on the received signals from the wastewater pH adjustment zone, coagulation zone and flocculation zone, sending control commands to the control module through the ZigBee coordinator, and transmitting data to the LoRa wireless communication module.

[0022] According to another embodiment of the utility model, the LoRa gateway module can select 4G-LTE, 3G, 2G and Ethernet to wirelessly connect to the LoRa wireless communication module by selecting different communication protocols through the mCard daughter card board.

[0023] Specifically, the LoRa wireless communication module uses the SX1272 module, which adopts the long-distance and low-power LoRa wireless transmission module to provide long-distance two-way data communication. Under unobstructed conditions, the communication distance can reach 16 km. In buildings, the communication distance can be maintained at about 2 km. Only one gateway module needs to be deployed in a factory area to achieve data communication.

[0024] According to another embodiment of the utility model, it further includes that the cloud platform selects China Mobile's Internet of Things open platform, namely OneNet platform, as the storage and processing center of cloud data, and the data collected by the detection module is uploaded to the cloud platform in the EDP protocol data packet format that can be recognized by the platform, and the cloud platform EDP data packet instruction is sent to the detection module, and the data is stored in the server.

[0025] Specifically, the system equipment list information built on the OneNet platform includes detection terminal equipment and control terminal equipment. In the equipment list, you can see all the equipment in the user account and the applications associated with the equipment. At the same time, you can also edit, delete, view details, manage data flow, add triggers, and debug the equipment; according to the needs of the enterprise, the detection terminals and control terminals in different workshops can be connected to the cloud for real-time monitoring and control.

[0026] According to another embodiment of the utility model, it further includes that the application terminal uses a WeChat public account and a Web platform to send a request instruction to the cloud platform, and the cloud platform sends the data read from the database by the server back to the application terminal.

[0027] Specifically, it is necessary to bind the WeChat public account on the mobile phone to the OneNet cloud. The WeChat public account sends a request command to the OneNet platform, and the server reads the data in the database and sends it back to the WeChat public account. The specific text information of the command and the return message is the OneNet platform, which uses PHP as an interactive scripting language to parse and judge the commands sent by the client, and pre-establish a knowledge base system to respond to specific statements. After completing the binding of the WeChat platform and the OneNet platform, you can view the data information of the device on the application management end of the OneNet platform and the WeChat end at the same time.

[0028] The above description is only illustrative rather than restrictive of the present invention. Those skilled in the art will understand that many modifications, changes or equivalents may be made without departing from the spirit and scope defined by the appended claims, but all will fall within the scope of protection of the present invention.

Claims

1. A wastewater treatment dosing system based on cloud platform and LoRa, characterized in that: Detection module, control module, data processing module and terminal module; the detection module and control module are connected to the wastewater pH adjustment zone, coagulation zone and flocculation zone, and communicate with the data processing module in two-way, and the data processing module includes a microprocessor module, a LoRa wireless communication module, a power module, a LoRa gateway module and a cloud platform; the power module supplies power to the microprocessor module and the LoRa wireless communication module, the microprocessor module collects data collected by the control module and the detection module, outputs commands to the control module, and aggregates the data to the LoRa gateway module through the LoRa wireless communication module; the LoRa gateway module uploads the data to the cloud platform and receives control instructions from the cloud platform; the cloud platform communicates with the application terminal in two-way; wherein the detection module is connected to the pH value detection probe, turbidity meter one and turbidity meter two in the wastewater pH adjustment zone, coagulation zone and flocculation zone, and the control module is connected to the acid-base dosing pump, acid-base agitator, coagulant PAC dosing pump, coagulation agitator, coagulant aid PAM dosing pump and coagulant aid agitator in the wastewater pH adjustment zone, coagulation zone and flocculation zone.

2. The wastewater treatment dosing system based on cloud platform and LoRa according to claim 1 is characterized in that: The detection module includes a chip CC2530, an RF antenna and a detection power supply; the detection power supply independently supplies power to the chip CC2530, and the chip CC2530 receives data information from a pH value detection probe, turbidity meter 1 and turbidity meter 2, and sends the information to a ZigBee coordinator through the RF antenna; The ZigBee coordinator is electrically connected to the data processing module.

3. The wastewater treatment dosing system based on cloud platform and LoRa according to claim 1 is characterized in that: The control module includes a chip CC2530, an RF antenna and a control power supply; the control power supply independently supplies power to the chip CC2530, and the chip CC2530 receives control instructions from the ZigBee coordinator through the RF antenna, and issues the instructions to the acid and alkali dosing pump, acid and alkali agitator, coagulant PAC dosing pump, coagulant agitator, coagulant aid PAM dosing pump and coagulant aid agitator.

4. The wastewater treatment dosing system based on cloud platform and LoRa according to claim 1 is characterized in that: The microprocessor module integrates the Cortex-M4 core, receives the underlying data packets through the ZigBee coordinator, performs analog-to-digital conversion and processing on the received signals from the wastewater pH adjustment zone, coagulation zone and flocculation zone, sends control commands to the control module through the ZigBee coordinator, and can transmit data to the LoRa wireless communication module.

5. The wastewater treatment dosing system based on cloud platform and LoRa according to claim 1 is characterized in that: The LoRa gateway module can select different communication protocols through the mCard daughter card board to select 4G-LTE, 3G, 2G and Ethernet to connect wirelessly with the LoRa wireless communication module.

6. The wastewater treatment dosing system based on cloud platform and LoRa according to claim 1 is characterized in that: The cloud platform uses China Mobile's Internet of Things open platform, namely OneNet platform, as the storage and processing center for cloud data. The data collected by the detection module is uploaded to the cloud platform in the EDP protocol data packet format that the platform can recognize, and the cloud platform EDP data packet instructions are sent to the detection module, and the data is stored in the server.

7. The wastewater treatment dosing system based on cloud platform and LoRa according to claim 1 is characterized in that: The application terminal uses the WeChat public account and the Web platform to send a request instruction to the cloud platform, and the cloud platform sends the data read from the server database back to the application terminal.

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