AI intelligent dosing and dephosphorization all-in-one machine, method and system based on water treatment

Abstract

The invention discloses a water treatment AI-based intelligent chemical adding and phosphorus removing all-in-one machine, method and system, and the all-in-one machine comprises a data collection module, a data analysis module, a data decision module, a man-machine interaction unit, a core controller and an information push module, and the data collection module is connected with an inlet water quality sensor and an outlet water quality sensor to collect inlet and outlet water quality data; the data analysis module is used for processing the inlet and outlet water quality data acquired by the data acquisition module, the data decision-making module is used for carrying out dosing decision-making calculation on the processed inlet and outlet water quality data and controlling the dosing device through the calculated dosing decision-making, and the man-machine interaction unit is used for carrying out man-machine interaction on a user. The core controller serves as a control core to control the data acquisition module, the data analysis module, the data decision module, the man-machine interaction unit and the information pushing module, and the information pushing module is used for pushing medicine adding adjustment reminding information. According to the invention, the dosing is more accurate, and the workload of manual operation is greatly reduced.

Description

Technical Field

[0001] The present invention relates to an integrated dosing and phosphorus removal machine, method and system, and in particular to an integrated dosing and phosphorus removal machine, method and system based on water treatment AI intelligence, belonging to the technical field of water treatment. Background Art

[0002] With the acceleration of industrialization and urbanization, the problems of water shortage and water pollution in my country are becoming increasingly prominent. On the one hand, with the acceleration of urbanization and the continuous expansion of urban scale, the pressure of urban water shortage is increasing; the root cause of the urban water crisis is that the social cycle of water exceeds the carrying capacity of the natural cycle of water.

[0003] At present, the automatic dosing technology of domestic sewage treatment plants and water plants mainly adopts single factor (flow ratio) and multi-factor (flow, PH, turbidity, SCD, etc.) automatic dosing technology, which automatically realizes the automatic dosing of PAC or PAC and PAM according to factors such as water quality and water volume. Due to the failure to achieve the simultaneous automatic dosing of the three reagents, the workload of the system operation and maintenance personnel is very large, which affects the stable operation of the system and arouses the disgust of many front-line operators. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an integrated machine, method and system for water treatment AI intelligent dosing and phosphorus removal to achieve efficient and accurate water treatment dosing and phosphorus removal.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: The invention discloses an integrated water treatment machine based on AI intelligent dosing and phosphorus removal, comprising a data acquisition module, a data analysis module, a data decision module, a human-computer interaction unit, a core controller and an information push module. The data acquisition module is connected with an inlet water quality sensor and an outlet water quality sensor to collect inlet and outlet water quality data. The data analysis module processes the inlet and outlet water quality data collected by the data acquisition module. The data decision module calculates dosing decisions on the processed inlet and outlet water quality data and controls a dosing device through the calculated dosing decisions. The human-computer interaction unit is used for human-computer interaction. The core controller serves as a control core to control the data acquisition module, the data analysis module, the data decision module, the human-computer interaction unit and the information push module. The information push module is used to push dosing adjustment reminder information.

[0006] Furthermore, the inlet water quality sensor and the outlet water quality sensor respectively include a pH meter, a flow meter and a TP sensor.

[0007] Furthermore, the data acquisition module is connected to the PLC via a switch, and the inlet water quality sensor and the outlet water quality sensor are connected to the PLC.

[0008] Furthermore, the human-computer interaction unit includes a display screen and a keyboard.

[0009] A water treatment AI intelligent dosing and phosphorus removal method, based on a water treatment AI intelligent dosing and phosphorus removal integrated machine, includes the following steps: S1. Convert the collected inlet water quality signal into a formula index value N, and search the formula database module for the standard formula index value Nn closest to the formula index value N; S2, the standard formula index sequence Nn and the standard formula drug dosage sequence KoutN corresponding to the standard formula index sequence Nn are stored in the formula database module; S3. When N=Nn, the standard prescription drug amount value KoutN corresponding to the standard prescription index value Nn is used as the prescription drug amount output value Kout; S4. When N≠Nn, correct the standard data in the formula database module until the outlet water quality is qualified, stop the calculation and update the formula database, and use the corrected formula dosage output value as the formula output value Kout; S5. Control the output of the formula drug dosage output value Kout to control the drug adding device to add drugs.

[0010] Furthermore, the step S4 is specifically as follows: 4.1. If Nn-1<N<Nn, calculate the dosage compensation value △Kout_n of the prescription drug, and take Kout_n=△Kout_n+Kout_n-1 as the dosage output value Kout of the prescription drug, where △Kout_n=Kout_n-1×10%, and when n=1, Kout_n-1 is KoutN-1; 4.2. If the outlet water quality is qualified, stop the calculation, update the formula database, and update Kout_n in the formula database to the standard formula dosage value KoutN corresponding to the standard formula index value Nn, and the original standard formula index value Nn is updated to Nn+1, and the original standard formula index value Nn+1 is updated to Nn+2, and so on, and all data in the formula database are updated; 4.3. If Nn<N<Nn+1, calculate the dosage compensation value △Kout_n of the prescription drug, and take Kout_n=Kout_n-1-△Kout_n as the dosage output value Kout of the prescription drug, where △Kout_n=Kout_n-1×10%, when n=1, Kout_n-1 is KoutN+1; 4.4. If the outlet water quality is qualified, stop the calculation and update the formula database. In the formula database, the standard formula dosage value KoutN+1 corresponding to the Kout_n standard formula index value Nn+1 is updated to Nn+2, and the original standard formula index value Nn+2 is updated to Nn+3, and so on. All data in the formula database are updated.

[0011] A water treatment AI-based intelligent dosing and phosphorus removal system comprises an AI-based water treatment intelligent dosing and phosphorus removal integrated machine, a deduction server cluster, a dosing device, an inlet water quality sensor, an outlet water quality sensor and an engineering management center; a data acquisition module of the AI-based water treatment intelligent dosing and phosphorus removal integrated machine is connected to the inlet water quality sensor and the outlet water quality sensor; the AI-based water treatment intelligent dosing and phosphorus removal integrated machine is connected to the deduction server cluster; the AI-based water treatment intelligent dosing and phosphorus removal integrated machine is connected to the dosing device for controlling the dosing device to add medicine according to the formula medicine dosage output value Kout; the AI-based water treatment intelligent dosing and phosphorus removal integrated machine is connected to the engineering management center for pushing dosing adjustment reminder information to the engineering management center.

[0012] Furthermore, the deduction server cluster includes a main server and several backup servers.

[0013] Compared with the prior art, the present invention has the following advantages and effects: the present invention collects the inlet water quality data of sewage in real time through the AI ​​intelligent dosing and phosphorus removal integrated machine, and performs data analysis and decision-making through the server. The dosing device is controlled by the output value of the formula dosage obtained by the decision to automatically add medicine, which makes the dosing more accurate and greatly reduces the workload of manual operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of an AI-based water treatment intelligent dosing and phosphorus removal integrated machine of the present invention.

[0015] Figure 2 It is a schematic diagram of a water treatment AI intelligent dosing and phosphorus removal system according to the present invention. DETAILED DESCRIPTION

[0016] In order to elaborate on the technical scheme adopted by the present invention to achieve the predetermined technical purpose, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only partial embodiments of the present invention, rather than all embodiments, and the technical means or technical features in the embodiments of the present invention can be replaced without paying creative work. The present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.

[0017] like Figure 1As shown, the present invention is an integrated machine for water treatment AI intelligent dosing and phosphorus removal, which includes a data acquisition module, a data analysis module, a data decision module, a human-computer interaction unit, a core controller and an information push module. The data acquisition module is connected to an inlet water quality sensor and an outlet water quality sensor to collect inlet and outlet water quality data. The data analysis module processes the inlet and outlet water quality data collected by the data acquisition module. The data decision module performs dosing decision calculation on the processed inlet and outlet water quality data and controls the dosing device through the calculated dosing decision. The human-computer interaction unit is used for human-computer interaction. The core controller serves as a control core to control the data acquisition module, the data analysis module, the data decision module, the human-computer interaction unit and the information push module. The information push module is used to push dosing adjustment reminder information.

[0018] The data collected by the data acquisition module is in JSON format, including data points collected by various monitoring instruments and related metadata, such as timestamps, device identifiers, etc. The data is transmitted to the intelligent computing machine through a communication interface (such as a network interface, serial port, data bus, etc.), and data is transmitted through a standard data transmission protocol (such as HTTP, etc.). The data access process involves receiving a JSON data packet, parsing the fields therein to extract and process the data, and then passing it to the machine learning model for real-time processing and analysis.

[0019] The data analysis module first cleans the access data and processes the noise, error values ​​and inconsistency in the data to ensure data quality; it adopts appropriate strategies to process the missing values ​​in the data, including data extraction of the missing values ​​and linear interpolation filling of the missing data; at the same time, it detects and processes the possible abnormal values ​​in the data to prevent them from having a negative impact on the analysis results. These steps will ensure that the data accessed from the terminal monitoring instrument is a standard time series for real-time decision-making and application of the calculation model.

[0020] The data decision module obtains the standard time series data of the terminal monitoring instrument after collecting and analyzing the above data, and inputs the data into the calculation model to perform dosing decision calculation. The model includes an AI prediction module and a dosing calculation module: the AI ​​prediction module performs zero-sample prediction on the input time series data based on the pre-trained AI large model, and can predict future data change trends; the dosing calculation module establishes a dosing rule library based on the built-in chemical reaction equation, calculates the specific dosing amount based on the input prediction data, and makes dosing decisions based on expert experience. The final dosing decision is transmitted to the automatic control system and the terminal dosing equipment through the data interface.

[0021] The information push module pushes reminder information for dosing adjustment on the WEB page. When the system enters trial operation, reminder information for dosing adjustment is pushed on the WEB page. After manual review and confirmation, the dosing output frequency can be adjusted. SMS reminders are sent for special situations such as outlet water quality exceeding the standard, inlet water volume / quality exceeding the set amount, etc.

[0022] The inlet water quality sensor and the outlet water quality sensor include a pH meter, a flow meter and a TP sensor respectively.

[0023] The data acquisition module is connected to the PLC through a switch, and the inlet water quality sensor and the outlet water quality sensor are connected to the PLC. In the original water treatment system, the sensor itself is connected to the PLC. In the present invention, the data acquisition module is connected to the PLC of the original system through a switch to form an Internet of Things so as to form a connection with the original system and collect sensor data in real time.

[0024] The human-computer interaction unit includes a display screen and a keyboard.

[0025] A water treatment AI intelligent dosing and phosphorus removal method, based on a water treatment AI intelligent dosing and phosphorus removal integrated machine, includes the following steps: S1. Convert the collected inlet water quality signal into a formula index value N, and search the formula database module for the standard formula index value Nn closest to the formula index value N.

[0026] S2. The standard prescription index sequence Nn and the standard prescription drug amount sequence KoutN corresponding to the standard prescription index sequence Nn are stored in the prescription database module.

[0027] S3. When N=Nn, the standard prescription drug amount value KoutN corresponding to the standard prescription index value Nn is used as the prescription drug amount output value Kout.

[0028] S4. When N≠Nn, correct the standard data in the formula database module until the outlet water quality is qualified, stop the calculation and update the formula database, and use the corrected formula dosage output value as the formula output value Kout.

[0029] Step S4 is specifically as follows: 4.1. If Nn-1<N<Nn, calculate the dosage compensation value △Kout_n of the prescription drug, and take Kout_n=△Kout_n+Kout_n-1 as the dosage output value Kout of the prescription drug, where △Kout_n=Kout_n-1×10%, and when n=1, Kout_n-1 is KoutN-1.

[0030] 4.2. If the outlet water quality is qualified, stop the calculation, update the formula database, and update Kout_n in the formula database to the standard formula dosage value KoutN corresponding to the standard formula index value Nn. The original standard formula index value Nn is updated to Nn+1, and the original standard formula index value Nn+1 is updated to Nn+2, and so on. Update all data in the formula database.

[0031] 4.3. If Nn<N<Nn+1, calculate the dosage compensation value △Kout_n of the prescription drug, and take Kout_n=Kout_n-1-△Kout_n as the dosage output value Kout of the prescription drug, where △Kout_n=Kout_n-1×10%, and when n=1, Kout_n-1 is KoutN+1.

[0032] 4.4. If the outlet water quality is qualified, stop the calculation and update the formula database. In the formula database, the standard formula dosage value KoutN+1 corresponding to the Kout_n standard formula index value Nn+1 is updated to Nn+2, and the original standard formula index value Nn+2 is updated to Nn+3, and so on. All data in the formula database are updated.

[0033] S5. Control the output of the formula drug dosage output value Kout to control the drug adding device to add drugs.

[0034] like Figure 2 As shown, a water treatment AI-based intelligent dosing and phosphorus removal system includes a water treatment AI-based intelligent dosing and phosphorus removal integrated machine, a deduction server cluster, a dosing device, an inlet water quality sensor, an outlet water quality sensor and an engineering management center. The data acquisition module of the water treatment AI-based intelligent dosing and phosphorus removal integrated machine is connected to the inlet water quality sensor and the outlet water quality sensor, the water treatment AI-based intelligent dosing and phosphorus removal integrated machine is connected to the deduction server cluster, the water treatment AI-based intelligent dosing and phosphorus removal integrated machine is connected to the dosing device for controlling the dosing device to add medicine according to the formula medicine dosage output value Kout, and the water treatment AI-based intelligent dosing and phosphorus removal integrated machine is connected to the engineering management center for pushing dosing adjustment reminder information to the engineering management center.

[0035] The deduction server cluster includes a main server and several backup servers. The deduction server is connected to the water treatment AI intelligent dosing and phosphorus removal integrated machine through the network. The deduction server is responsible for performing complex computing tasks such as simulation, prediction and decision support. It usually has high-performance computing capabilities to process large amounts of data and complex algorithms.

[0036] The present invention uses an AI intelligent dosing and phosphorus removal integrated machine to collect the inlet water quality data of sewage in real time, and performs data analysis and decision-making through a server. The dosing device is controlled by the output value of the formula dosage obtained by the decision to perform automatic dosing, which makes dosing more accurate and greatly reduces the workload of manual operation.

[0037] The above is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technician familiar with this profession can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent replacement and improvement made to the above embodiments without departing from the content of the technical solution of the present invention, based on the technical essence of the present invention, within the spirit and principles of the present invention, still fall within the protection scope of the technical solution of the present invention.

Claims

1. A water treatment AI-based intelligent dosing and phosphorus removal integrated machine, characterized by: It includes a data acquisition module, a data analysis module, a data decision module, a human-computer interaction unit, a core controller and an information push module. The data acquisition module is connected with the inlet water quality sensor and the outlet water quality sensor to collect the inlet and outlet water quality data. The data analysis module processes the inlet and outlet water quality data collected by the data acquisition module. The data decision module calculates the dosing decision for the processed inlet and outlet water quality data and controls the dosing device through the calculated dosing decision. The human-computer interaction unit allows human-computer interaction. The core controller serves as the control core to control the data acquisition module, the data analysis module, the data decision module, the human-computer interaction unit and the information push module. The information push module is used to push dosing adjustment reminder information.

2. According to claim 1, a water treatment AI intelligent dosing and phosphorus removal integrated machine is characterized by: The inlet water quality sensor and the outlet water quality sensor respectively include a pH meter, a flow meter and a TP sensor.

3. According to claim 1, the AI-based water treatment intelligent dosing and phosphorus removal integrated machine is characterized by: The data acquisition module is connected to the PLC via a switch, and the inlet water quality sensor and the outlet water quality sensor are connected to the PLC.

4. The AI-based water treatment intelligent dosing and phosphorus removal integrated machine according to claim 1 is characterized by: The human-computer interaction unit comprises a display screen and a keyboard.

5. A water treatment AI intelligent dosing and phosphorus removal method, based on the water treatment AI intelligent dosing and phosphorus removal integrated machine according to any one of claims 1 to 4, characterized in that The following steps are involved: S1. Convert the collected inlet water quality signal into a formula index value N, and search the formula database module for the standard formula index value Nn closest to the formula index value N; S2, the standard formula index sequence Nn and the standard formula drug dosage sequence KoutN corresponding to the standard formula index sequence Nn are stored in the formula database module; S3. When N=Nn, the standard prescription drug amount value KoutN corresponding to the standard prescription index value Nn is used as the prescription drug amount output value Kout; S4. When N≠Nn, correct the standard data in the formula database module until the outlet water quality is qualified, stop the calculation and update the formula database, and use the corrected formula dosage output value as the formula output value Kout; S5. Control the output of the formula drug dosage output value Kout to control the drug adding device to add drugs.

6. A water treatment AI intelligent dosing and phosphorus removal method according to claim 5, characterized in that: The step S4 is specifically as follows: 4.

1. If Nn-1<N<Nn, calculate the dosage compensation value △Kout_n of the prescription drug, and take Kout_n=△Kout_n+Kout_n-1 as the dosage output value Kout of the prescription drug, where △Kout_n=Kout_n-1×10%, and when n=1, Kout_n-1 is KoutN-1; 4.

2. If the outlet water quality is qualified, stop the calculation, update the formula database, and update Kout_n in the formula database to the standard formula dosage value KoutN corresponding to the standard formula index value Nn, and the original standard formula index value Nn is updated to Nn+1, and the original standard formula index value Nn+1 is updated to Nn+2, and so on, and all data in the formula database are updated; 4.

3. If Nn<N<Nn+1, calculate the dosage compensation value △Kout_n of the prescription drug, and take Kout_n=Kout_n-1-△Kout_n as the dosage output value Kout of the prescription drug, where △Kout_n=Kout_n-1×10%, when n=1, Kout_n-1 is KoutN+1; 4.

4. If the outlet water quality is qualified, stop the calculation and update the formula database. In the formula database, the standard formula dosage value KoutN+1 corresponding to the Kout_n standard formula index value Nn+1 is updated to Nn+2, and the original standard formula index value Nn+2 is updated to Nn+3, and so on. All data in the formula database are updated.

7. A water treatment AI-based intelligent dosing and phosphorus removal system, characterized by: It comprises the AI-based intelligent dosing and phosphorus removal machine for water treatment, a deduction server cluster, a dosing device, an inlet water quality sensor, an outlet water quality sensor and an engineering management center as described in any one of claims 1 to 4, wherein the data acquisition module of the AI-based intelligent dosing and phosphorus removal machine for water treatment is connected with the inlet water quality sensor and the outlet water quality sensor, the AI-based intelligent dosing and phosphorus removal machine for water treatment is connected with the deduction server cluster, the AI-based intelligent dosing and phosphorus removal machine for water treatment is connected with the dosing device for controlling the dosing device to add medicine according to the formula medicine dosage output value Kout, and the AI-based intelligent dosing and phosphorus removal machine for water treatment is connected with the engineering management center for pushing dosing adjustment reminder information to the engineering management center.

8. The water treatment AI intelligent dosing and phosphorus removal system according to claim 7 is characterized by: The deduction server cluster includes a main server and several backup servers.

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