Online monitoring and early warning management cloud platform for chemical wastewater treatment and discharge

Abstract

The invention belongs to the technical field of wastewater treatment and discharge detection, and particularly discloses a chemical wastewater treatment and discharge online monitoring and early warning management cloud platform which comprises a data acquisition module, a data analysis module, an early warning module, a remote monitoring module, a report generation module and a historical data storage module. The data acquisition module is used for acquiring data of wastewater through a sensor and monitoring equipment; the data analysis module is used for analyzing and processing the collected data; the early warning module is used for the platform to automatically send out early warning information when the monitoring data exceeds a set threshold value or an abnormal condition occurs; the remote monitoring module is used for the management personnel to remotely access the platform through the Internet and check the operation condition and the monitoring data of the wastewater treatment facility in real time; the report generation module is used for generating various reports on the platform; and the historical data storage module is used for storing the collected historical data, so that management personnel can conveniently inquire and analyze the historical data.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater treatment and discharge monitoring, and specifically to an online monitoring, early warning and management cloud platform for chemical wastewater treatment and discharge. Background Art

[0002] With the increasing demand for social and economic development, many chemical industries have increased production, and the amount of wastewater generated by production has also increased accordingly. Since the wastewater produced by the chemical industry will cause serious damage to the environment, it is very necessary to monitor the treatment and discharge of chemical wastewater.

[0003] With the development of the chemical industry, the wastewater discharge has increased, and the chemical wastewater causes serious damage to the environment. The monitoring of its treatment and discharge has become increasingly necessary. There are many problems in the traditional monitoring methods, such as single and one-sided detection content, consuming a large amount of time and labor costs, and being unable to effectively treat and discharge wastewater. Therefore, a more advanced online monitoring, early warning and management platform is needed to achieve comprehensive, efficient and real-time monitoring and management. Summary of the Invention

[0004] The purpose of the present invention is to provide an online monitoring, early warning and management cloud platform for chemical wastewater treatment and discharge to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An online monitoring, early warning and management cloud platform for chemical wastewater treatment and discharge, including a data acquisition module, a data analysis module, an early warning module, a remote monitoring module, a report generation module and a historical data storage module.

[0006] The data acquisition module is used to collect data of water quality parameters, water volume and water level of wastewater in real time through sensors and monitoring devices installed in wastewater treatment facilities and discharge outlets.

[0007] The data analysis module is used to analyze and process the collected data to judge whether the wastewater treatment meets the standards.

[0008] The early warning module is used to automatically send out early warning information when the monitoring data exceeds the set threshold or abnormal conditions occur, notifying relevant personnel to take measures in time.

[0009] The remote monitoring module is used for managers to remotely access the platform through the Internet, view the operation status of wastewater treatment facilities and monitoring data in real time, and realize remote monitoring and management of the wastewater treatment process.

[0010] The report generation module is used to generate various reports on the platform, including daily reports, monthly reports, quarterly reports and annual reports.

[0011] The historical data storage module is used to store the collected historical data for managers to query and analyze, so as to understand the long-term trends and changes in wastewater treatment.

[0012] Preferably, in the present invention, the water quality parameters are used to measure the water quality indexes of pH value, chemical oxygen demand (COD), biochemical oxygen demand (BOD), ammonia nitrogen, total phosphorus, and total nitrogen of chemical industrial wastewater in real time through sensors; specific electrodes or spectral analysis equipment are used to detect the heavy metal content in the wastewater; for various organic pollutants in the wastewater, a gas chromatography-mass spectrometry (GC-MS) is used for analysis.

[0013] The data collection of the water volume is carried out by installing a flowmeter at the inlet of the wastewater treatment facility to accurately record the wastewater flow entering the treatment system; a flowmeter is set at the outlet to monitor the volume of the treated wastewater discharged up to the standard.

[0014] For the water level monitoring, a liquid level sensor is installed in the pool during the wastewater treatment process to grasp the water level change in the pool in real time; a pressure sensor or a liquid level sensor is set in the wastewater conveying pipeline to monitor the water level in the pipeline.

[0015] Preferably, in the present invention, the data analysis module includes water quality parameter analysis, water volume data analysis, and water level data analysis.

[0016] For the water quality parameter analysis, observe the change trends of various water quality parameters over time, including the fluctuation of the pH value in different time periods and the long-term change trend of the chemical oxygen demand (COD), understand the stability of the wastewater quality, and whether there is a tendency of gradual deterioration or improvement; identify the outliers in the water quality parameter data, that is, the data points that significantly deviate from the normal range, and analyze and check the outliers to timely discover potential problems.

[0017] For the water volume data analysis, analyze the change rules of the influent flow and the effluent flow, including the daily, weekly, and monthly changes of the flow, to ensure that the treatment capacity matches the actual water volume; calculate the difference between the total influent volume and the total effluent volume to evaluate the water volume balance of the wastewater treatment system. If there is a large water volume difference, there are problems such as wastewater leakage, untreated discharge, or inaccurate monitoring data.

[0018] For the water level data analysis, observe the fluctuation of the water level in the pool and the pipeline, analyze the amplitude, frequency, and period of the water level fluctuation; monitor the real-time water level data according to the set water level warning threshold; when the water level approaches or exceeds the warning threshold, timely send out a warning signal to remind relevant personnel to take measures to prevent equipment damage or process interruption caused by too high or too low water level.

[0019] Preferably, the warning module of the present invention includes water quality parameter threshold warning, abnormal water volume warning, and water level warning.

[0020] For the water quality parameter threshold warning, upper and lower limit thresholds are set for water quality indicators. When the real-time monitoring data exceeds these thresholds, corresponding warnings are triggered. For the abnormal water volume warning, based on the designed treatment capacity of the wastewater treatment facility and daily operation data, the normal ranges of the influent flow rate and effluent flow rate are determined. When the flow rate exceeds this range, a warning is initiated. For the water level warning, a safe range is set for the water levels in the water tank and pipeline. When the water level is too high, it may cause an overflow risk, or when the water level is too low, it affects the normal treatment process, a warning is triggered.

[0021] Preferably, the warning information of the warning module of the present invention is sent by text message, email, pop-up messages within the platform system, and push messages on the mobile APP to ensure that the warning information can be conveyed to relevant personnel in a timely and accurate manner. After the warning information is sent, the development and handling of the event are continuously tracked, and the status of the warning information is updated in a timely manner.

[0022] Preferably, the remote monitoring module of the present invention includes real-time data transmission and remote control.

[0023] The real-time data transmission transmits the collected data to the cloud platform in real time through a wired or wireless network. The cloud platform sorts and analyzes the received data and displays it on the remote monitoring interface in an intuitive chart, graph, or digital form.

[0024] The remote control remotely sends instructions through the cloud platform to control the start and stop of the wastewater treatment equipment. When the equipment needs to be maintained or encounters an emergency, the corresponding equipment is remotely shut down. For adjustable treatment equipment or process parameters, instructions are input on the remote monitoring interface to adjust and optimize the parameters in real time.

[0025] Preferably, the daily report is generated daily and summarizes the key data of the chemical wastewater treatment and discharge on the same day, including the average, maximum, and minimum values of water quality parameters per hour, the total influent volume and total effluent volume on the same day. The weekly report is generated on a weekly basis and includes the content of the daily report, and adds an analysis chart of the change trend of water quality parameters within this week.

[0026] The monthly report is generated once a month, covering more comprehensive information, including the content of the daily report and weekly report, and also including the statistical analysis of water quality parameters at different time periods within this month, the total water consumption and drainage volume this month, and the summary and analysis of warning events this month.

[0027] Quarterly report, generated quarterly, comprehensively summarizes the chemical wastewater treatment and discharge situation in that quarter, includes all the contents of the monthly report, adds the comparative analysis of various data between this quarter and the previous quarter, and lists the important measures taken for wastewater treatment and discharge in this quarter and the achieved results.

[0028] Annual report, generated once a year, is a detailed summary report on the annual chemical wastewater treatment and discharge work, including the monthly data summary of this year, the trend chart of water quality parameters throughout the year, clearly showing the water quality differences in different seasons, the total annual water consumption and drainage volume, the statistical operation status of equipment throughout the year, and the detailed records of all early warning events in the year, including the occurrence time, reasons, treatment measures and follow-up situations.

[0029] Preferably, as for the present invention, the historical data storage module classifies and stores historical data with different time granularities, including hourly data, daily data, weekly data, monthly data, quarterly data and annual data. The data of each time period is stored separately, which is convenient for subsequent quick query and statistical analysis according to the time range; it is classified and stored according to the monitored water quality parameters, water volume data and water level data, and each type of data is stored in the corresponding category, which is convenient for in-depth analysis and comparison for specific parameter types.

[0030] Compared with the prior art, the beneficial effects of the present invention are:

[0031] Through real-time monitoring and early warning, the present invention can timely discover problems in the wastewater treatment process, prevent the discharge of untreated or substandard treated wastewater, thereby reducing environmental pollution and protecting the ecological environment. It realizes remote monitoring and management, and managers can understand the operation status of wastewater treatment facilities anytime and anywhere, reducing the workload of on-site inspections and improving management efficiency. The rich data analysis and report functions provide accurate information for managers. Brief Description of the Drawings

[0032] Figure 1 It is a schematic diagram of the system of the present invention. Detailed Embodiment

[0033] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with 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. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0034] Please refer to Figure 1, the present invention provides a technical solution: a cloud platform for online monitoring, early warning and management of chemical wastewater treatment and discharge, including a data acquisition module, a data analysis module, an early warning module, a remote monitoring module, a report generation module and a historical data storage module.

[0035] The data acquisition module is used to collect data on the water quality parameters, water volume and water level of wastewater in real time through various sensors and monitoring devices installed at the wastewater treatment facilities and discharge outlets.

[0036] The water quality parameters are used to measure the water quality indicators of pH value, chemical oxygen demand (COD), biochemical oxygen demand (BOD), ammonia nitrogen, total phosphorus and total nitrogen of chemical wastewater in real time through sensors; specific electrodes or spectral analysis equipment are used to detect the heavy metal content in the wastewater; for various organic pollutants in the wastewater, a gas chromatography-mass spectrometry (GC-MS) is used for analysis.

[0037] The data acquisition of the water volume is carried out by installing flow meters at the inlet of the wastewater treatment facilities to accurately record the wastewater flow entering the treatment system; flow meters are set at the outlet to monitor the water volume of the treated wastewater discharged up to standard.

[0038] For the water level monitoring, a liquid level sensor is installed in the pool during the wastewater treatment process to grasp the water level change in the pool in real time; a pressure sensor or a liquid level sensor is set in the wastewater conveying pipeline to monitor the water level in the pipeline.

[0039] The data analysis module is used to analyze and process the collected data to judge whether the wastewater treatment meets the standards and whether the treatment equipment is operating normally.

[0040] The data analysis module includes water quality parameter analysis, water volume data analysis and water level data analysis.

[0041] The water quality parameter analysis observes the change trend of each water quality parameter over time, including the fluctuation of the pH value in different time periods and the long-term change trend of the chemical oxygen demand (COD), to understand the stability of the wastewater quality and whether there is a tendency of gradual deterioration or improvement; identify the outliers in the water quality parameter data, that is, the data points that deviate significantly from the normal range, and analyze and investigate the outliers to timely discover potential problems.

[0042] The water volume data analysis analyzes the change rules of the inlet flow and the outlet flow, including the daily, weekly and monthly changes of the flow, to ensure that the treatment capacity matches the actual water volume; calculate the difference between the total inlet water volume and the total outlet water volume to evaluate the water volume balance of the wastewater treatment system. If there is a large water volume difference, there are problems such as wastewater leakage, untreated discharge or inaccurate monitoring data.

[0043] For the above-mentioned water level data analysis, observe the fluctuations of the water levels in the pool and pipeline, and analyze the amplitude, frequency, and period of the water level fluctuations; monitor the real-time water level data according to the set water level warning threshold; when the water level approaches or exceeds the warning threshold, issue a warning signal in a timely manner to remind relevant personnel to take measures to prevent equipment damage or process interruption caused by too high or too low water levels.

[0044] The warning module is used to automatically send a warning message by the platform when the monitored data exceeds the set threshold or abnormal conditions occur, notifying relevant personnel to take measures in a timely manner.

[0045] The warning module includes water quality parameter threshold warning, water volume anomaly warning, and water level warning.

[0046] For the water quality parameter threshold warning, set upper and lower limit thresholds for water quality indicators, and trigger corresponding warnings when the real-time monitored data exceeds these thresholds; for the water volume anomaly warning, determine the normal ranges of the influent flow and effluent flow according to the designed treatment capacity and daily operation data of the wastewater treatment facility, and start a warning when the flow exceeds this range; for the water level warning, set a safe range for the water levels of the pool and pipeline, and trigger a warning when the water level is too high, which may cause an overflow risk, or the water level is too low, affecting the normal treatment process.

[0047] The warning messages of the warning module are sent in the forms of text messages, emails, pop-up messages within the platform system, and mobile APP push to ensure that the warning messages can be conveyed to relevant personnel in a timely and accurate manner. After the warning messages are sent, continuously track the development and handling of the events and update the status of the warning messages in a timely manner.

[0048] The remote monitoring module is used for managers to remotely access the platform through the Internet, view the operation status and monitoring data of the wastewater treatment facility in real time, and realize the remote monitoring and management of the wastewater treatment process.

[0049] The remote monitoring module includes real-time data transmission and remote control.

[0050] The real-time data transmission is to transmit the collected data to the cloud platform in real time through wired or wireless networks. The cloud platform sorts out and analyzes the received data and displays it on the remote monitoring interface in the form of intuitive charts, graphs, or numbers.

[0051] The remote control is to remotely send instructions through the cloud platform to control the start and stop of the wastewater treatment equipment. When the equipment needs maintenance or encounters an emergency, remotely shut down the corresponding equipment; for adjustable treatment equipment or process parameters, input instructions on the remote monitoring interface to adjust and optimize the parameters in real time.

[0052] The report generation module is used to generate various reports on the platform, including daily reports, monthly reports, quarterly reports, and annual reports.

[0053] The daily report is generated daily and summarizes the key data of chemical wastewater treatment and discharge on the same day, including the average, maximum, and minimum water quality parameters per hour, the total influent volume and total effluent volume on the same day; the weekly report is generated on a weekly basis, contains the content of the daily report, and adds an analysis chart of the change trend of water quality parameters within this week.

[0054] The monthly report is generated once a month, covers more comprehensive information, includes the content of the daily report and weekly report, and also includes the statistical analysis of water quality parameters in different time periods within this month, the total water consumption and drainage volume in this month, and the summary and analysis of warning events and handling situations in this month.

[0055] The quarterly report is generated quarterly and comprehensively summarizes the chemical wastewater treatment and discharge situation in this quarter, contains all the content of the monthly report, adds a comparative analysis of various data between this quarter and the previous quarter, and lists the important measures taken for wastewater treatment and discharge in this quarter and the achieved results.

[0056] The annual report is generated once a year, which is a detailed summary report on the annual chemical wastewater treatment and discharge work, including the data summary of each month in this year, the change trend chart of water quality parameters throughout the year, clearly showing the water quality differences in different seasons, the annual total water consumption and drainage volume, the statistical of the annual operation status of equipment, and the detailed records of all warning events in the year, including the occurrence time, reasons, handling measures, and follow-up situations.

[0057] The historical data storage module is used to store the collected historical data for managers to query and analyze, so as to understand the long-term trends and changes in wastewater treatment.

[0058] The historical data storage module classifies and stores historical data with different time granularities, including hourly data, daily data, weekly data, monthly data, quarterly data, and annual data. The data for each time period is stored separately, facilitating quick query and statistical analysis according to the time range; it is classified and stored according to the monitored water quality parameters, water volume data, and water level data, and each type of data is stored in the corresponding category, facilitating in-depth analysis and comparison for specific parameter types.

[0059] The online monitoring, warning and management cloud platform for chemical wastewater treatment and discharge is a system that uses modern information technology to monitor, warn and manage the process of chemical wastewater treatment and discharge in real time.

[0060] Through real-time monitoring and warning, problems in the wastewater treatment process can be discovered in a timely manner, preventing the discharge of untreated or inadequately treated wastewater, thereby reducing environmental pollution and protecting the ecological environment.

[0061] Remote monitoring and management are realized. Managers can understand the operation status of wastewater treatment facilities anytime and anywhere, reducing the workload of on-site inspections and improving management efficiency.

[0062] Rich data analysis and reporting functions provide accurate information for managers, helping to formulate scientific and reasonable wastewater treatment strategies and management decisions.

[0063] Compared with traditional monitoring methods, this platform can greatly improve the monitoring efficiency and save a large amount of time and labor costs.

[0064] In summary, the online monitoring and early warning management cloud platform for chemical wastewater treatment and discharge is an efficient, comprehensive and intelligent wastewater treatment and discharge management system, which is of great significance for improving the environmental protection level and supervision efficiency of chemical enterprises.

[0065] It should be noted that: the entire device is controlled through the total control button. Since the devices matched with the control button are common devices and belong to the existing mature technologies, the electrical connection relationship and the specific circuit structure are not described in detail here.

[0066] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A cloud platform for online monitoring and early warning management of chemical wastewater treatment and discharge, characterized by: It includes data collection module, data analysis module, early warning module, remote monitoring module, report generation module and historical data storage module; The data acquisition module is used to collect data on wastewater quality parameters, water volume and water level in real time through sensors and monitoring equipment installed at wastewater treatment facilities and discharge outlets; The data analysis module is used to analyze and process the collected data to determine whether the wastewater treatment meets the standards; The warning module is used to automatically issue a warning message when the monitoring data exceeds the set threshold or an abnormal situation occurs; The remote monitoring module allows managers to remotely access the platform through the Internet and view the operation status and monitoring data of the wastewater treatment facilities in real time; The report generation module is used to generate various reports on the platform, including daily reports, monthly reports, quarterly reports and annual reports; The historical data storage module is used to store the collected historical data so that management personnel can query and analyze it to understand the long-term trends and changes in wastewater treatment.

2. According to claim 1, a chemical wastewater treatment and discharge online monitoring and early warning management cloud platform is characterized by: The water quality parameters include pH value, chemical oxygen demand, biochemical oxygen demand, ammonia nitrogen, total phosphorus and total nitrogen of chemical wastewater in real time through sensors; heavy metal content in wastewater is detected by using specific electrodes or spectral analysis equipment; various organic pollutants in wastewater are analyzed by mass spectrometry; The water volume data is collected by installing a flow meter at the water inlet of the wastewater treatment facility to accurately record the wastewater flow entering the treatment system; a flow meter is set at the water outlet to monitor the amount of water that meets the discharge standards after treatment; The water level monitoring includes installing a liquid level sensor in the water pool during the wastewater treatment process to monitor the water level changes in the water pool in real time; and setting a pressure sensor or a liquid level sensor in the wastewater delivery pipeline to monitor the water level in the pipeline.

3. According to claim 1, a chemical wastewater treatment and discharge online monitoring and early warning management cloud platform is characterized by: The data analysis module includes water quality parameter analysis, water quantity data analysis and water level data analysis; The water quality parameter analysis is to observe the changing trends of various water quality parameters over time, including the fluctuation of pH value in different time periods and the long-term changing trend of chemical oxygen demand, so as to understand the stability of wastewater quality and whether there is a tendency of gradual deterioration or improvement; Identify outliers in water quality parameter data, i.e. data points that significantly deviate from the normal range, and analyze and troubleshoot outliers; The water volume data analysis includes analyzing the changing patterns of the inlet and outlet flow rates, including daily, weekly and monthly changes in flow rates, to ensure that the treatment capacity matches the actual water volume; Calculate the difference between the total inflow and outflow to assess the water balance of the wastewater treatment system. If there is a large difference in water volume, it means there is a problem of wastewater leakage, untreated discharge or inaccurate monitoring data; The water level data analysis observes the fluctuation of water levels in pools and pipes, and analyzes the amplitude, frequency and period of water level fluctuations; monitors real-time water level data according to the set water level warning threshold; and issues a warning signal in a timely manner when the water level approaches or exceeds the warning threshold.

4. According to claim 1, a chemical wastewater treatment and discharge online monitoring and early warning management cloud platform is characterized by: The warning module includes water quality parameter threshold warning, water volume abnormality warning and water level warning; water quality parameter threshold warning sets upper and lower limit thresholds for water quality indicators, and triggers corresponding warnings when real-time monitoring data exceeds these thresholds; Abnormal water volume warning, based on the designed processing capacity and daily operation data of the wastewater treatment facilities, determines the normal range of inlet and outlet flows, and activates the warning when the flow exceeds the range; water level warning, sets a safe range for the water level in the pool and pipe, and triggers the warning when the water level is too high and may cause overflow risk, or the water level is too low and affects the normal treatment process.

5. The online monitoring and early warning management cloud platform for chemical wastewater treatment and discharge according to claim 1 is characterized by: The warning information of the warning module is delivered to relevant personnel in a timely and accurate manner through SMS, email, pop-up messages in the platform system, and mobile phone APP push notifications. After the warning information is issued, the development and handling of the incident are continuously tracked, and the status of the warning information is updated in a timely manner.

6. The online monitoring and early warning management cloud platform for chemical wastewater treatment and discharge according to claim 1 is characterized by: The remote monitoring module includes real-time data transmission and remote control; The real-time data transmission is achieved by transmitting the collected data to the cloud platform in real time through a wired or wireless network. The cloud platform organizes and analyzes the received data and displays it on the remote monitoring interface in the form of intuitive charts, graphs or numbers; The remote control sends commands remotely through the cloud platform to control the start and stop of the wastewater treatment equipment. When the equipment needs maintenance or encounters an emergency, the corresponding equipment is remotely shut down; for adjustable treatment equipment or process parameters, the parameters are adjusted and optimized in real time by entering commands on the remote monitoring interface.

7. The online monitoring and early warning management cloud platform for chemical wastewater treatment and discharge according to claim 1 is characterized by: The daily report is generated on a daily basis and summarizes the key data of chemical wastewater treatment and discharge on that day, including the average, maximum and minimum values ​​of water quality parameters per hour, and the total water inflow and total water outflow on that day; Weekly report, generated on a weekly basis, includes the content in the daily report and adds a trend analysis chart of water quality parameters within the week; Monthly report, one report is generated every month, covering more comprehensive information, including the contents of daily and weekly reports, as well as statistical analysis of water quality parameters at different time periods within the month, total water consumption and drainage volume of the month, and summary and handling analysis of warning events of the month; Quarterly report, generated on a quarterly basis, comprehensively summarizes the chemical wastewater treatment and discharge situation in that quarter, includes all the contents of the monthly report, adds comparative analysis of various data between this quarter and the previous quarter, and lists the important measures taken and the results achieved for wastewater treatment and discharge in this quarter; The annual report is generated once a year and is a detailed summary report of the chemical wastewater treatment and discharge work throughout the year, including the monthly data summary of the year, the trend chart of water quality parameters throughout the year, clearly showing the water quality differences in different seasons, the annual total water consumption and discharge volume, the equipment's operating status statistics throughout the year, and detailed records of all warning events of the year, including the time of occurrence, cause, treatment measures and subsequent follow-up.

8. The online monitoring and early warning management cloud platform for chemical wastewater treatment and discharge according to claim 1 is characterized by: The historical data storage module classifies and stores historical data at different time granularities, including hourly data, daily data, weekly data, monthly data, quarterly data and annual data. The data of each time period is stored separately, which is convenient for subsequent rapid query and statistical analysis by time range; the historical data is classified and stored according to the monitored water quality parameters, water volume data and water level data, and each type of data is stored in the corresponding category, which is convenient for in-depth analysis and comparison of specific parameter types.

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