Multi-process operation and maintenance monitoring system of wastewater treatment plant

Abstract

The invention belongs to the technical field of operation and maintenance monitoring, and particularly discloses a multi-flow operation and maintenance monitoring system for a wastewater treatment plant, which comprises a data acquisition module, a data transmission module, a data processing module and a monitoring management module, the data acquisition module is used for acquiring data in a wastewater treatment process in real time through detection equipment; the data transmission module is used for transmitting the collected data to a monitoring center in real time through the Internet of Things technology to realize remote access and sharing of the data; the data processing module is used for carrying out data processing on the transmitted data so as to extract useful information; the monitoring management module is used for displaying the running state of the wastewater treatment process in real time through a human-computer interface; through real-time monitoring and remote control functions, operation and maintenance personnel can find and treat problems in the wastewater treatment process in time, and the operation and maintenance efficiency is improved; the system can automatically monitor the operation state of the equipment, timely discover faults and give an early warning, and reduce the damage and maintenance cost of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of operation and maintenance monitoring, and particularly to a multi-process operation and maintenance monitoring system for a wastewater treatment plant. Background Art

[0002] In cities, it is also called a sewage treatment plant or a sewage works. Those located in factories are often called treatment stations. When the effluent is discharged into the urban drainage pipeline, the treatment station is actually a pretreatment facility. A wastewater treatment plant is a complex system composed of multiple unit processes. The costs and efficiencies of each unit process are interrelated and interact with each other, and ultimately determine the cost and efficiency of the entire system.

[0003] With the acceleration of industrialization and urbanization, the total amount of wastewater discharge is increasing continuously, and the composition is becoming increasingly complex. If wastewater is directly discharged without effective treatment, it will cause serious pollution to the environment, including water pollution and soil pollution, damage the ecological balance, and even endanger human health. Traditional wastewater treatment methods and simple monitoring means are difficult to meet the requirements for comprehensive monitoring and effective management of complex wastewater treatment processes. Therefore, this application proposes a multi-process operation and maintenance monitoring system for a wastewater treatment plant. Summary of the Invention

[0004] The purpose of the present invention is to provide a multi-process operation and maintenance monitoring system for a wastewater treatment plant to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A multi-process operation and maintenance monitoring system for a wastewater treatment plant, including a data acquisition module, a data transmission module, a data processing module, and a monitoring and management module.

[0006] The data acquisition module is used to collect data in the wastewater treatment process in real time through detection devices.

[0007] The data transmission module is used to transmit the collected data to the monitoring center in real time through Internet of Things technology to realize remote access and sharing of data.

[0008] The data processing module is used to process the transmitted data to extract useful information.

[0009] The monitoring and management module is used to display the operating status of the wastewater treatment process in real time through a human-machine interface.

[0010] Preferably, the detection devices include a water quality sensor, a flow sensor, a liquid level sensor, a pressure sensor, a thermometer, a flowmeter instrument, an on-line analyzer, and a suspended solids detector.

[0011] Water quality sensors are used to monitor water quality indicators such as pH value, dissolved oxygen, turbidity, conductivity, and residual chlorine in wastewater; flow sensors measure the flow rate of wastewater to ensure stable flow during the treatment process; level sensors monitor the level changes in wastewater treatment tanks to prevent overflow or drying up; pressure sensors measure the pressure in pipelines or equipment to ensure the system operates within a safe range; thermometers monitor the temperature of wastewater and equipment to prevent the impact of overheating or overcooling on the treatment effect; flow meters provide more accurate flow data for monitoring and adjusting the wastewater treatment process; online analyzers use COD (chemical oxygen demand) or BOD (biochemical oxygen demand) analyzers to evaluate the pollution degree of wastewater; suspended solid detectors measure the concentration of suspended solids in wastewater to judge the efficiency of wastewater treatment.

[0012] Preferably in the present invention, the data acquisition method of the data acquisition module adopts automatic acquisition or manual acquisition.

[0013] Automatic acquisition, through the automatic measurement function of sensors and instruments, uploads data to the data acquisition system in real time. This method can ensure the accuracy and real-time nature of the data; manual acquisition, in specific situations, including equipment failures or sensor anomalies, maintenance personnel can manually record relevant data as a supplement to the automatically acquired data.

[0014] Preferably in the present invention, the transmission technologies adopted by the data transmission module include wired transmission and wireless transmission.

[0015] The wired transmission includes Ethernet and fiber optic transmission.

[0016] Ethernet, adopting the standard Ethernet protocol, transmits data to the data center through network cables. This method has a fast transmission speed and high stability, but the wiring cost and maintenance cost are relatively high; fiber optic transmission, using optical fibers as the transmission medium to achieve long-distance data transmission, has the advantages of fast transmission speed, strong anti-interference ability, and long transmission distance. It is suitable for large wastewater treatment plants or scenarios that require long-distance data transmission.

[0017] The wireless transmission includes Wi-Fi and 4G / 5G.

[0018] Wi-Fi, using wireless network technology, transmits data to the data center. This method does not require wiring and has high flexibility, but the transmission speed and stability may be affected by environmental factors (such as signal interference, distance, etc.); 4G / 5G, using the mobile communication network for data transmission, has the advantages of wide coverage and fast transmission speed. It is suitable for remote areas or scenarios that require mobile monitoring.

[0019] Preferably in the present invention, the data processing includes data cleaning and data analysis.

[0020] The data cleaning includes outlier detection and data standardization.

[0021] For the outlier detection, by setting thresholds or using statistical methods, data points that deviate significantly from the normal range are identified, which may be outliers caused by sensor failures, data transmission errors, etc.; for outliers, they can be processed by deletion, replacement, or marking to avoid misleading subsequent analysis.

[0022] The data standardization eliminates the dimensional differences and numerical range differences between different data metrics, and it is necessary to standardize or normalize the data; standardization converts the data into a distribution with a mean of 0 and a standard deviation of 1; normalization maps the data into a specific interval so that data of different metrics are comparable in subsequent analysis and calculations.

[0023] The data analysis is used to quickly analyze the real-time collected data to monitor the current state of the wastewater treatment process; it also includes in-depth analysis of the accumulated historical data to mine potential patterns and trends.

[0024] Preferably in the present invention, the monitoring and management module includes process monitoring and equipment monitoring.

[0025] The process monitoring includes displaying each process of the wastewater treatment in a graphical interface, including pretreatment, biochemical treatment, and advanced treatment; showing the flow direction and flow rate information of wastewater, electricity, and oxygen between each process, enabling operation and maintenance personnel to intuitively understand the coherence of the entire treatment process.

[0026] The equipment monitoring includes comprehensively monitoring the status of the equipment in the wastewater treatment plant. The monitoring content includes basic information such as the running / stopping status, running duration, and running frequency of the equipment, as well as the key performance parameters of the equipment; the equipment status is intuitively displayed through equipment status indicator lights, green indicating normal operation, yellow indicating early warning, and red indicating failure; an equipment failure early warning model is established, and based on the historical operation data and real-time monitoring data of the equipment, the possible failures of the equipment are predicted. When the equipment fails, in addition to sending an alarm signal, preliminary fault diagnosis information can be provided.

[0027] Compared with the prior art, the beneficial effects of the present invention are:

[0028] Through the real-time monitoring and remote control functions of the present invention, operation and maintenance personnel can timely discover and handle problems in the wastewater treatment process, improving the operation and maintenance efficiency; the system can automatically monitor the running status of the equipment, timely discover faults and give early warnings, reducing equipment damage and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the system of the present invention. Detailed implementation manners

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0031] Please refer to Figure 1 , the present invention provides a technical solution: a multi-process operation and maintenance monitoring system for a wastewater treatment plant, including a data acquisition module, a data transmission module, a data processing module, and a monitoring and management module.

[0032] The data acquisition module is used to collect data in the wastewater treatment process in real time through detection devices.

[0033] The detection devices include water quality sensors, flow sensors, liquid level sensors, pressure sensors, thermometers, flow meter instruments, on-line analyzers, and suspended solid detectors.

[0034] The water quality sensor is used to monitor water quality indicators such as pH value, dissolved oxygen, turbidity, conductivity, and residual chlorine in the wastewater; the flow sensor measures the flow rate of the wastewater to ensure the stable flow rate during the treatment process; the liquid level sensor monitors the liquid level change in the wastewater treatment tank to prevent overflow or dryness; the pressure sensor measures the pressure in the pipeline or equipment to ensure that the system operates within a safe range; the thermometer monitors the temperature of the wastewater and equipment to prevent the influence of overheating or overcooling on the treatment effect; the flow meter instrument provides more accurate flow data for monitoring and adjusting the wastewater treatment process; the on-line analyzer uses a COD (chemical oxygen demand) or BOD (biochemical oxygen demand) analyzer to evaluate the pollution degree of the wastewater; the suspended solid detector measures the concentration of suspended solids in the wastewater to judge the efficiency of wastewater treatment.

[0035] The data transmission module is used to transmit the collected data to the monitoring center in real time through Internet of Things technology to realize remote access and sharing of data.

[0036] The transmission technologies adopted by the data transmission module include wired transmission and wireless transmission.

[0037] The wired transmission includes Ethernet and fiber optic transmission.

[0038] Ethernet, using the standard Ethernet protocol, transmits data to the data center through network cables. This method has a fast transmission speed and high stability, but the wiring cost and maintenance cost are relatively high; Fiber optic transmission, using optical fibers as the transmission medium, has the advantages of fast transmission speed, strong anti-interference ability, and long transmission distance. It is suitable for large-scale wastewater treatment plants or scenarios that require long-distance data transmission.

[0039] Wireless transmission includes Wi-Fi and 4G / 5G.

[0040] Wi-Fi, using wireless network technology, transmits data to the data center. This method does not require wiring and has high flexibility, but the transmission speed and stability may be affected by environmental factors (such as signal interference, distance, etc.); 4G / 5G, using the mobile communication network for data transmission, has the advantages of wide coverage and fast transmission speed. It is suitable for remote areas or scenarios that require mobile monitoring.

[0041] The data processing module is used to process the transmitted data to extract useful information.

[0042] Data processing includes data cleaning and data analysis.

[0043] Data cleaning includes outlier detection and data standardization.

[0044] Outlier detection, by setting thresholds or using statistical methods, identifies data points that deviate significantly from the normal range. These may be outliers caused by sensor failures, data transmission errors, etc.; For outliers, they can be processed by deletion, replacement, or marking to avoid misleading subsequent analysis.

[0045] Data standardization eliminates the dimensional differences and numerical range differences between different data metrics, and the data needs to be standardized or normalized; Standardization converts the data into a distribution with a mean of 0 and a standard deviation of 1; Normalization maps the data into a specific interval so that the data of different metrics are comparable in subsequent analysis and calculations.

[0046] Data analysis is used to quickly analyze the real-time collected data to monitor the current state of the wastewater treatment process; It also includes in-depth analysis of the accumulated historical data to mine potential patterns and trends.

[0047] The monitoring and management module is used to display the operating status of the wastewater treatment process in real time through the human-machine interface.

[0048] The monitoring and management module includes process monitoring and equipment monitoring.

[0049] Process monitoring includes presenting each process of wastewater treatment in a graphical interface, including pretreatment, biochemical treatment, and advanced treatment; showing the flow directions and flow rate information of wastewater, electricity, and oxygen between each process, enabling operation and maintenance personnel to intuitively understand the coherence of the entire treatment process.

[0050] Equipment monitoring includes comprehensively monitoring the status of equipment in the wastewater treatment plant. The monitoring content includes basic information such as the running / stopping status, running duration, and running frequency of the equipment, as well as the key performance parameters of the equipment; visually displaying the equipment status through equipment status indicator lights, with green indicating normal operation, yellow indicating early warning, and red indicating failure; establishing an equipment failure early warning model, predicting possible equipment failures based on the historical operation data and real-time monitoring data of the equipment, and when the equipment fails, in addition to sending an alarm signal, providing preliminary fault diagnosis information.

[0051] The multi-process operation and maintenance monitoring system of the wastewater treatment plant is an integrated management system integrating advanced technologies such as automatic control, Internet of Things technology, and data analysis. The system aims to monitor each link in the wastewater treatment process in real time to ensure the high efficiency, stability, and reliability of wastewater treatment.

[0052] The main functions can achieve real-time monitoring, alarm function, data analysis, and remote control.

[0053] Real-time monitoring: The system can monitor each link in the wastewater treatment process in real time, including pretreatment, biochemical treatment, advanced treatment, etc., to ensure the stable operation of the wastewater treatment process.

[0054] Alarm function: When an abnormality or failure occurs in a certain link of the wastewater treatment process, the system can automatically trigger an alarm to remind operation and maintenance personnel to handle it in a timely manner.

[0055] Data analysis: The system can deeply analyze the collected data, discover potential problems in the wastewater treatment process, and provide data support for optimizing the wastewater treatment process.

[0056] Remote control: Operation and maintenance personnel can remotely control wastewater treatment equipment through the system, such as starting, stopping, and adjusting parameters, to improve operation and maintenance efficiency.

[0057] The multi-process operation and maintenance monitoring system of the wastewater treatment plant is applicable to various types of wastewater treatment plants, including urban sewage treatment plants, industrial wastewater treatment plants, etc. The system can help wastewater treatment plants achieve automated and intelligent management, improve wastewater treatment efficiency and quality, and reduce operation and maintenance costs and environmental risks.

[0058] In summary, the multi-process operation and maintenance monitoring system for wastewater treatment plants is an important technology in the field of wastewater treatment. It can achieve comprehensive monitoring and management of the wastewater treatment process, improve the efficiency and quality of wastewater treatment, and reduce operation and maintenance costs and environmental risks.

[0059] It should be noted that the entire device is controlled through the main control button. Since the devices matched with the control button are common devices and belong to existing mature technologies, the electrical connection relationships and specific circuit structures are not elaborated herein.

[0060] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-process operation and maintenance monitoring system for a wastewater treatment plant, characterized in that: It includes data acquisition module, data transmission module, data processing module and monitoring management module; The data acquisition module is used to collect data in the wastewater treatment process in real time through detection equipment; The data transmission module is used to transmit the collected data to the monitoring center in real time through the Internet of Things technology to achieve remote access and sharing of data; The data processing module is used to process the transmitted data to extract useful information; The monitoring management module is used to display the operating status of the wastewater treatment process in real time through a human-machine interface.

2. A multi-process operation and maintenance monitoring system for a wastewater treatment plant according to claim 1, characterized in that: The detection equipment includes a water quality sensor, a flow sensor, a liquid level sensor, a pressure sensor, a thermometer, a flow meter, an online analyzer and a suspended matter detector; Water quality sensors are used to monitor the pH value, dissolved oxygen, turbidity, conductivity, and residual chlorine in wastewater; flow sensors measure the flow of wastewater to ensure the stability of the flow during the treatment process; liquid level sensors monitor the changes in the liquid level in the wastewater treatment pool to prevent overflow or drying up; pressure sensors measure the pressure in pipes or equipment to ensure that the system operates within a safe range; thermometers monitor the temperature of wastewater and equipment to prevent overheating or overcooling from affecting the treatment effect; Flow meter instruments, which provide more accurate flow data for monitoring and adjusting wastewater treatment processes; The online analyzer uses a COD (chemical oxygen demand) or BOD (biological oxygen demand) analyzer to assess the degree of wastewater contamination; a suspended solids detector to measure the concentration of suspended solids in wastewater and determine the efficiency of wastewater treatment.

3. The multi-process operation and maintenance monitoring system of a wastewater treatment plant according to claim 1, characterized in that: The data acquisition module adopts automatic acquisition or manual acquisition as the data acquisition method; Automatic collection, through the automatic measurement function of sensors and instruments, data is uploaded to the data acquisition system in real time; Manual collection: In certain circumstances, including equipment failure or sensor anomalies, operation and maintenance personnel can manually record relevant data as a supplement to automatically collected data.

4. The multi-process operation and maintenance monitoring system of a wastewater treatment plant according to claim 1, characterized in that: The transmission technologies adopted by the data transmission module include wired transmission and wireless transmission. The wired transmission includes Ethernet and optical fiber transmission; the wireless transmission includes Wi-Fi and 4G / 5G.

5. A multi-process operation and maintenance monitoring system for a wastewater treatment plant according to claim 4, characterized in that: The Ethernet uses standard Ethernet protocol to transmit data to the data center through network cables; optical fiber transmission uses optical fiber as a transmission medium to achieve long-distance data transmission; Wi-Fi uses wireless network technology to transmit data to the data center; 4G / 5G uses mobile communication networks for data transmission.

6. A multi-process operation and maintenance monitoring system for a wastewater treatment plant according to claim 1, characterized in that: The data processing includes data cleaning and data analysis; The data cleaning includes outlier detection and data standardization; The outlier detection, by setting a threshold or applying a statistical method, identifies data points that are significantly deviated from the normal range. These may be outliers caused by sensor failure or data transmission errors. Outliers can be deleted, replaced or marked to avoid misleading subsequent analysis. The data standardization eliminates the dimension differences and numerical range differences between different data indicators, and the data needs to be standardized or normalized; standardization converts the data into a distribution with a mean of 0 and a standard deviation of 1; normalization maps the data to a specific interval, so that the data of different indicators are comparable in subsequent analysis and calculation; The data analysis is used to quickly analyze the data collected in real time to monitor the current state of the wastewater treatment process; it also includes in-depth analysis of accumulated historical data to explore potential patterns and trends.

7. The multi-process operation and maintenance monitoring system of a wastewater treatment plant according to claim 1, characterized in that: The monitoring management module includes process monitoring and equipment monitoring. The process monitoring includes displaying various processes of wastewater treatment, including pretreatment, biochemical treatment, and deep treatment, in a graphical interface; The flow direction and flow information of wastewater, electricity and oxygen between various processes are displayed, so that operation and maintenance personnel can intuitively understand the continuity of the entire treatment process. The equipment monitoring includes comprehensive status monitoring of the equipment in the wastewater treatment plant, including basic information such as the running / stopping status, running time, and running frequency of the equipment, as well as key performance parameters of the equipment; The equipment status is intuitively displayed through the equipment status indicator light, with green indicating normal operation, yellow indicating warning, and red indicating fault. An equipment fault warning model is established to predict possible equipment faults based on the equipment's historical operating data and real-time monitoring data. When a device fails, in addition to issuing an alarm signal, it can also provide preliminary fault diagnosis information.

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