Low-code system for mass-energy-carbon comprehensive monitoring of water treatment process

Abstract

The invention relates to the technical field of water treatment process mass-energy-carbon synthesis, in particular to a low-code system for water treatment process mass-energy-carbon comprehensive monitoring. Comprising a business model unit, a business algorithm unit, a process configuration unit and a process verification unit; an integrated equipment configuration module; the flow calculation module comprises a flow water flow model calculation unit, a flow energy calculation unit and a carbon footprint metering unit; the operation acquisition module comprises a data acquisition device and an equipment control device, the data acquisition device selects a proper communication protocol, establishes a data link, stores and processes data and analyzes and applies the data, and the equipment control device implements a control strategy. Compared with the prior art, the system has the advantages that the system is wide in applicability, the use difficulty is reduced, a user autonomously configures a production process conforming to reality, the use range is widened, and the utilization efficiency and utilization capability of data are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated mass, energy and carbon in water treatment processes, and in particular to a low-code system for integrated monitoring of mass, energy and carbon in water treatment processes. Background Art

[0002] As the world pays more and more attention to carbon emissions, the issue of carbon emissions in industrial production is also gaining more and more attention. Existing industrial carbon emissions data collection technology has some defects, such as the inability to combine with the actual production process, low data collection accuracy, overly traditional collection methods, too long a time span for data collection, and inability to effectively measure process efficiency. These problems seriously limit the water treatment industry's ability to provide strong support for carbon reduction and sustainable development.

[0003] The process design low-code platform is a platform that reproduces water treatment design and production processes through graphical interface configuration, allowing users without development capabilities to quickly build and reproduce specific industrial production processes. Compared with the traditional carbon emission accounting method that estimates annual or monthly consumption, it is closer to the actual production process and also allows users to intuitively understand the carbon emissions at different production stages. Summary of the invention

[0004] In order to solve the problems raised in the above background technology and achieve the above purpose, a low-code system for comprehensive monitoring of mass, energy and carbon in water treatment processes is designed, including a code building module, an integrated equipment configuration module, a process calculation module and an operation collection module. The code building module includes a business model unit, a business algorithm unit, a process configuration unit and a process verification unit. The business model unit is provided with an equipment facility model, a sensor and electric meter model, a controller model, a dosing model, a water quality benchmark model and a custom business model. The business algorithm unit is provided with a unit reaction mathematical model, a data-driven deep learning model, a proportional-integral-differential controller algorithm model, a fuzzy controller algorithm model and a custom algorithm model; the process configuration unit in the code building module can customize each model, construct a directed graph, connect them into a whole, customize the control logic, and configure Various parameters are generated to generate an execution body; the process verification unit calculates the mass conservation of the system input and output, and checks whether the process water quality meets the standard. If it does not meet the standard, the process configuration is reconfigured; the comprehensive equipment configuration module includes a sensor configuration device, a controller configuration device and a comprehensive equipment configuration device, the sensor configuration device configures sensor parameters, the controller configuration device configures controller parameters, and the comprehensive equipment configuration device configures physical equipment information and control strategy information; the process calculation module includes a process water flow model calculation unit, a process energy calculation unit, and a carbon footprint measurement unit; the operation collection module includes a data collection device and an equipment control device, the data collection device selects a suitable communication protocol, establishes a data link, stores and processes data, analyzes and applies data, and the equipment control device implements the control strategy.

[0005] The process verification unit calculates the system input and output mass conservation, and the sum of the water volume entering a node is equal to the sum of all the water and mud volume leaving this node. If the water flow entering a node is positive, and the water flow or mud flow leaving the node is negative, then

[0006]

[0007] where i k is the kth flow entering or leaving the node.

[0008] The process calculation module calculates CH 4， Emissions of three greenhouse gases, N2O and CO2: The calculation formula is as follows

[0009]

[0010] in and are the emissions of CH4, N2O and CO2 in a specific biological treatment unit, and are the carbon emission factors of the three greenhouse gases. in Indicates the total nitrogen mass in the influent; COD in COD value of influent, COD sludge The COD content removed with the sludge, COD removed The total amount of COD removed by the treatment unit. 28 and 265 are the global warming potentials (GWP) of CH4 and N2O, respectively.

[0011] To calculate the indirect carbon emissions from on-site electricity use, the formula is as follows:

[0012]

[0013] in, is the CO2 emission generated by the electricity consumption of the i-th equipment in the process. is the carbon dioxide emission factor of the equipment; P i is the energy consumption level of the device.

[0014] The indirect carbon emissions from off-site discharge of treated effluent are calculated using the following formula:

[0015]

[0016] in, and They represent the emissions of three greenhouse gases after the water treatment plant discharges into natural rivers, lakes or artificial reservoirs. and They are the carbon emission factors discharged outside the wastewater plant after the three greenhouse gases are treated.

[0017] Compared with the prior art, the system of the present invention has wide applicability, reduces the difficulty of use, and allows users to independently configure the actual production process, thereby increasing the scope of use. The efficiency and ability of data utilization are improved, and users can understand the future carbon emission trend through the prediction model and feed it back to the specific production process, thereby achieving the corporate goal of reducing carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a data architecture diagram of the present invention; DETAILED DESCRIPTION

[0019] The present invention will be further described below with reference to the accompanying drawings.

[0020] like Figure 1, a low-code system for comprehensive monitoring of quality, energy and carbon in water treatment processes, including a code building module, an integrated equipment configuration module, a process calculation module and an operation collection module, the code building module includes a business model unit, a business algorithm unit, a process configuration unit and a process verification unit, the business model unit is provided with an equipment facility model, a sensor and meter model, a controller model, a dosing model, a water quality benchmark model and a custom business model, the business algorithm unit is provided with a unit reaction mathematical model, a data-driven deep learning model, a proportional-integral-differential controller algorithm model, a fuzzy controller algorithm model and a custom algorithm model; the process configuration unit in the code building module can customize each model, construct a directed graph, connect them into a whole, customize the control logic, configure each top parameter, and generate an executable body; the flow The process verification unit calculates the quality conservation of the system input and output, and checks whether the process water quality meets the standard. If not, the process configuration is reconfigured; the comprehensive equipment configuration module includes a sensor configuration device, a controller configuration device and a comprehensive equipment configuration device. The sensor configuration device configures sensor parameters, the controller configuration device configures controller parameters, and the comprehensive equipment configuration device configures physical equipment information and control strategy information; the process calculation module includes a process water flow model calculation unit, a process energy calculation unit, and a carbon footprint measurement unit; the operation collection module includes a data collection device and an equipment control device. The data collection device selects a suitable communication protocol, establishes a data link, stores and processes data, analyzes and applies data, and the equipment control device implements the control strategy. The data collection device collects data such as pumping energy consumption, aeration energy consumption, and effluent water quality and quantity.

[0021] Users can build a process design that meets specific production scenarios through simple operations such as dragging and clicking. According to the modular scenarios configured in the production process, the production stages are streamlined, and sensors are bound to the corresponding production nodes to display the status and parameters of different production stages. After the calculation diagram is composed of process unit nodes, the calculation logic must ensure the conservation of system input and output quality, and simulate whether the process water quality meets the standards.

[0022] The process verification unit calculates the mass conservation of the system input and output. The sum of the water entering a node is equal to the sum of all the water and mud leaving this node. If the water flow entering a node is positive, and the water flow or mud flow leaving the node is negative, then

[0023]

[0024] where i k is the kth flow entering or leaving the node.

[0025] Process calculation module calculates CH 4,Emissions of three greenhouse gases, N2O and CO2: The calculation formula is as follows

[0026]

[0027] in and are the emissions of CH4, N2O and CO2 in a specific biological treatment unit (gCO2e), and are the carbon emission factors of the three greenhouse gases. in Indicates the total nitrogen mass in the influent; COD in COD value of influent, COD sludge The COD content removed with the sludge, COD removed The total amount of COD removed by the treatment unit. 28 and 265 are the global warming potentials (GWP) of CH4 and N2O, respectively.

[0028] To calculate the indirect carbon emissions from on-site electricity use, the formula is as follows:

[0029]

[0030] in, is the CO2 emission generated by the electricity consumption of the i-th equipment in the process. is the CO2 emission factor of the equipment, P i is the energy consumption level of the device.

[0031] The indirect carbon emissions from off-site discharge of treated effluent are calculated using the following formula:

[0032]

[0033] in, and They represent the emissions of three greenhouse gases after the water treatment plant discharges into natural rivers, lakes or artificial reservoirs. and They are the carbon emission factors discharged outside the wastewater plant after the three greenhouse gases are treated.

[0034] Running the acquisition module requires configuring the hardware device, including the server address, port number, client ID, and necessary authentication information, so that it can connect to the server through the network and ensure that the device can publish data to the predefined topic. Deploy and configure the service platform on the server, create subscription rules to receive messages from the hardware device, and configure encryption to ensure the security of data transmission. Adjust the forwarding strategy of the service platform according to the expected load to handle high-concurrency message forwarding. Develop a transit service, connect to the message agent software, and forward messages to the message agent software's route according to the configured routing strategy. Deploy and configure the message agent software's service, create message queues, and set routing strategies to ensure that messages can be copied to different message queues based on content. At the same time, persist the message data to prevent data loss after the server is restarted, and implement a data backup strategy to further protect the data. The actual business service will obtain message data from different message queues. The current business services include status updates, short-term aggregation, and real-time push.

[0035] Through the sensors installed in the factory, material, energy consumption and carbon emission data are collected in real time. The sensor data is associated with the low-code platform in the first part to combine the data with the process. The process industry production process is combined with the software product by using the flowchart configuration method. By extracting the features of the modeling of each process industry production node, metadata information that meets most scenarios is obtained. The data is monitored in real time, and the equipment operation status is automatically adjusted to optimize the system operation status and minimize carbon emissions, thereby achieving green and sustainable development of industrial production. Timely discovery and handling of carbon emission problems avoids environmental problems caused by excessive carbon emissions. Accurately predict future carbon emission trends to help companies manage carbon emissions, thereby providing an accurate basis for the optimal design of industrial production.

Claims

1. A low-code system for comprehensive monitoring of mass, energy and carbon in water treatment processes, including a code building module, a comprehensive equipment configuration module, a process calculation module and an operation collection module, characterized in that: The code building module includes a business model unit, a business algorithm unit, a process configuration unit and a process verification unit. The business model unit is provided with an equipment and facility model, a sensor and meter model, a controller model, a dosing model, a water quality benchmark model and a custom business model. The business algorithm unit is provided with a unit reaction mathematical model, a data-driven deep learning model, a proportional-integral-differential controller algorithm model, a fuzzy controller algorithm model and a custom algorithm model; the process configuration unit in the code building module can customize each model, construct a directed graph, connect it into a whole, customize the control logic, configure various parameters, and generate an execution body; the process verification unit calculates the quality conservation of the system input and output, and verifies whether the process water quality is If the standard is met, the process is reconfigured if the standard is not met; the comprehensive equipment configuration module includes a sensor configuration device, a controller configuration device and a comprehensive equipment configuration device, the sensor configuration device configures sensor parameters, the controller configuration device configures controller parameters, and the comprehensive equipment configuration device configures physical equipment information and control strategy information; the process calculation module includes a process water flow model calculation unit, a process energy calculation unit, and a carbon footprint measurement unit; the operation collection module includes a data collection device and an equipment control device, the data collection device selects a suitable communication protocol, establishes a data link, stores and processes data, analyzes and applies data, and the equipment control device implements the control strategy.

2. A low-code system for comprehensive monitoring of mass, energy and carbon in water treatment processes according to claim 1, characterized in that: The process verification unit calculates the system input and output mass conservation, and the sum of the water volume entering a node is equal to the sum of all the water and mud volume leaving this node. If the water flow entering a node is positive, and the water flow or mud flow leaving the node is negative, then where i k is the kth water flow entering or leaving the node.

3. A low-code system for comprehensive monitoring of mass, energy and carbon in water treatment processes according to claim 1, characterized in that: The process calculation module calculates the emissions of three greenhouse gases: CH4, N2O and CO2: The calculation formula is as follows in and are the emissions of CH4, N2O and CO2 in a specific biological treatment unit, and are the carbon emission factors of the three greenhouse gases. in Indicates the total nitrogen mass in the influent; COD in COD value of influent, COD sludge The COD content removed with the sludge, COD removed The total amount of COD removed by the treatment unit. 28 and 265 are the global warming potentials (GWP) of CH4 and N2O, respectively. To calculate the indirect carbon emissions from on-site electricity use, the formula is as follows: in, is the CO2 emission generated by the electricity consumption of the i-th equipment in the process. is the CO2 emission factor of the equipment, P i is the energy consumption level of the device. The indirect carbon emissions from off-site discharge of treated effluent are calculated using the following formula: in, and They represent the emissions of three greenhouse gases after the water treatment plant discharges into natural rivers, lakes or artificial reservoirs. and They are the carbon emission factors discharged outside the wastewater plant after the three greenhouse gases are treated.

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