CN116854156A - Factory sewage quality monitoring and purifying method and system based on Internet of things - Google Patents
Factory sewage quality monitoring and purifying method and system based on Internet of things Download PDFInfo
- Publication number
- CN116854156A CN116854156A CN202310783977.4A CN202310783977A CN116854156A CN 116854156 A CN116854156 A CN 116854156A CN 202310783977 A CN202310783977 A CN 202310783977A CN 116854156 A CN116854156 A CN 116854156A
- Authority
- CN
- China
- Prior art keywords
- sewage
- factory
- flow
- data
- water
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000010865 sewage Substances 0.000 title claims abstract description 443
- 238000012544 monitoring process Methods 0.000 title claims abstract description 86
- 238000000034 method Methods 0.000 title claims abstract description 62
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 318
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 113
- 231100000719 pollutant Toxicity 0.000 claims abstract description 113
- 238000000746 purification Methods 0.000 claims abstract description 89
- 238000009792 diffusion process Methods 0.000 claims abstract description 60
- 238000001514 detection method Methods 0.000 claims abstract description 48
- 230000008569 process Effects 0.000 claims abstract description 39
- 230000009471 action Effects 0.000 claims abstract description 34
- 238000011403 purification operation Methods 0.000 claims description 35
- 239000000356 contaminant Substances 0.000 claims description 26
- 239000002351 wastewater Substances 0.000 claims description 18
- 238000004659 sterilization and disinfection Methods 0.000 claims description 10
- 239000006185 dispersion Substances 0.000 claims description 8
- 239000000463 material Substances 0.000 claims description 8
- 238000010276 construction Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 6
- 230000006855 networking Effects 0.000 claims description 5
- 230000002688 persistence Effects 0.000 abstract description 6
- 230000001105 regulatory effect Effects 0.000 abstract description 6
- 230000009286 beneficial effect Effects 0.000 description 8
- 238000009825 accumulation Methods 0.000 description 7
- 230000001954 sterilising effect Effects 0.000 description 6
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 description 2
- 230000003139 buffering effect Effects 0.000 description 2
- 229910052801 chlorine Inorganic materials 0.000 description 2
- 239000000460 chlorine Substances 0.000 description 2
- 238000013136 deep learning model Methods 0.000 description 2
- 230000014759 maintenance of location Effects 0.000 description 2
- 239000000843 powder Substances 0.000 description 2
- 238000011897 real-time detection Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/50—Treatment of water, waste water, or sewage by addition or application of a germicide or by oligodynamic treatment
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/72—Treatment of water, waste water, or sewage by oxidation
- C02F1/76—Treatment of water, waste water, or sewage by oxidation with halogens or compounds of halogens
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/003—Downstream control, i.e. outlet monitoring, e.g. to check the treating agents, such as halogens or ozone, leaving the process
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/40—Liquid flow rate
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/44—Time
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Organic Chemistry (AREA)
- Water Supply & Treatment (AREA)
- Environmental & Geological Engineering (AREA)
- Hydrology & Water Resources (AREA)
- Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Sewage (AREA)
Abstract
The application provides a factory sewage water quality monitoring and purifying method and system based on the Internet of things, which are used for adjusting the detection action of a distributed water quality sensor based on the discharge state of factory sewage, realizing timely and comprehensive monitoring of the sewage and providing reliable data for sewage purification; and extracting pollutant content data and sewage flow data of the factory sewage in the flowing process from monitoring data of the distributed water quality sensor. The pollutant flow diffusion model of the factory sewage in the flowing process is generated, so that the factory sewage can be accurately purified by the control water purification end of the Internet of things in a matched manner, and the factory sewage can be thoroughly purified in time; and when the water purifying end is in the working limit state, the purifying operation of the water purifying end is regulated, so that the water purifying failure caused by the fact that the water purifying end is in the overload working state for a long time is avoided, and the purifying persistence and reliability of sewage are ensured to the maximum extent under the condition of comprehensively and accurately monitoring the sewage.
Description
Technical Field
The application relates to the field of monitoring of the Internet of things, in particular to a factory sewage quality monitoring and purifying method and system based on the Internet of things.
Background
During operation of the plant, sewage is generated, and in order to avoid continuous accumulation of sewage inside the plant, it is necessary to drain the sewage from the plant and to perform a synchronous purification treatment of the sewage. The existing factory sewage purification system directly performs the purification operation of a preset mode on the discharged factory sewage, the water quality state of the sewage is not fully considered in the purification process, the sewage cannot be thoroughly purified, meanwhile, the sewage is not fully close to the purification treatment limit of the purification equipment, the condition that the sewage is not sufficiently purified easily occurs, the comprehensive and accurate water quality monitoring on the factory discharged sewage cannot be performed, and the continuous and reliable purification treatment on the factory discharged sewage cannot be ensured.
Disclosure of Invention
The application aims to provide a factory sewage water quality monitoring and purifying method and system based on the Internet of things, which are used for adjusting the detection action of a distributed water quality sensor based on the discharge state of factory sewage, realizing timely and comprehensive monitoring of the sewage and providing reliable data for sewage purification; and extracting pollutant content data and sewage flow data of the factory sewage in the flowing process from monitoring data of the distributed water quality sensor. The pollutant flow diffusion model of the factory sewage in the flowing process is generated, so that the factory sewage can be accurately purified by the control water purification end of the Internet of things in a matched manner, and the factory sewage can be thoroughly purified in time; and when the water purifying end is in the working limit state, the purifying operation of the water purifying end is regulated, so that the water purifying failure caused by the fact that the water purifying end is in the overload working state for a long time is avoided, and the purifying persistence and reliability of sewage are ensured to the maximum extent under the condition of comprehensively and accurately monitoring the sewage.
The application is realized by the following technical scheme:
the factory sewage quality monitoring and purifying method based on the Internet of things comprises the following steps:
based on the discharge state of the factory sewage, sending a detection action instruction to a distributed water quality sensor;
analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage; the factory sewage flow data comprise pollutant content data and sewage flow data in the flowing process after factory sewage is discharged;
generating a contaminant flow dispersion model for the plant sewage after being discharged based on the plant sewage flow state data;
based on the pollutant flow diffusion model, sending a control instruction to a water purification end through the Internet of things, and determining the purification operation of the water purification end on the factory sewage;
judging whether the water purifying end is in a working limit state or not based on the operation live data of the purifying operation and the discharge live data of the factory sewage; and when the water purifying device is in the working limit state, the purifying operation of the water purifying end is adjusted.
Optionally, sending a detection action instruction to the distributed water quality sensor based on the discharge state of the plant sewage, including:
based on the distribution information of the sewage discharge starting time of the factory, sending a trigger action instruction to a distributed water quality sensor positioned on a sewage discharge path so as to enable the distributed water quality sensor to enter a corresponding water quality and water flow detection mode;
transmitting a detection frequency adjustment action command to a distributed water quality sensor located in the sewage discharge path based on the discharge flow rate of the plant sewage, so that the distributed water quality sensor adjusts the water quality detection frequency and/or the water flow detection frequency of the plant sewage flowing on the sewage discharge path;
analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage, wherein the method comprises the following steps:
analyzing the water quality monitoring data and the water flow monitoring data from the distributed water quality sensor to obtain pollutant content data and sewage flow data of the factory sewage in the flowing process of the sewage discharge path; wherein the contaminant content data includes contaminant concentration profile data along a length of the wastewater discharge path; the sewage flow rate data is sewage flow velocity distribution data along a length direction of the sewage discharge path.
Optionally, generating a contaminant flow dispersion model for the plant sewage after being discharged based on the plant sewage flow state data, comprising:
analyzing and processing the pollutant concentration distribution data and the sewage flow speed distribution data along the length direction of the sewage discharge path to generate a pollutant flow diffusion model corresponding to the flow of the factory sewage along the sewage discharge path after the factory sewage is discharged; the pollutant flow diffusion model is used for representing the diffusion trend of pollutants in factory sewage along the sewage discharge path;
based on the pollutant flow diffusion model, send control instruction to the water purification end through the thing networking, confirm the water purification end to the purification operation of mill's sewage includes:
based on the pollutant flow diffusion model, predicting volume information of a sewage part with the corresponding pollutant concentration greater than or equal to a preset concentration threshold value in the sewage discharge path and time information reaching the water purification end;
determining a time of operation of the water purification end to the interception of the plant sewage from the sewage discharge path based on the time information; based on the volume information, determining the weight of the water purification end to inject the trapped factory wastewater into the disinfection material.
Optionally, determining whether the water purification end is in an operation limit state based on operation live data of the purification operation and discharge live data of the plant sewage; and when in the working limit state, adjusting the purifying operation of the water purifying end, comprising:
judging whether the water purifying end is in a working limit state based on the water purifying amount of the purifying operation in unit time and the discharge amount of the factory sewage in unit time;
when the water purifying end is in a working limit state, the interception amount of the factory sewage in the process of purifying operation of the water purifying end each time is adjusted.
Factory sewage water quality monitoring and clean system based on thing networking includes:
the water quality sensor control module is used for sending a detection action instruction to the distributed water quality sensor based on the discharge state of the factory sewage;
the monitoring data analysis module is used for analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage; the factory sewage flow data comprise pollutant content data and sewage flow data in the flowing process after factory sewage is discharged;
a contaminant diffusion model construction module for generating a contaminant flow diffusion model for the discharged plant wastewater based on the plant wastewater flow state data;
the water purification operation determining module is used for determining the purification operation of the water purification end on the factory sewage by sending a control instruction to the water purification end through the Internet of things based on the pollutant flow diffusion model;
a water purification operation adjustment module for judging whether the water purification end is in a working limit state based on operation live data of the purification operation and discharge live data of the plant sewage; and when the water purifying device is in the working limit state, the purifying operation of the water purifying end is adjusted.
Optionally, the water quality sensor control module is configured to send a detection action instruction to the distributed water quality sensor based on the emission state of the factory sewage, and includes:
based on the distribution information of the sewage discharge starting time of the factory, sending a trigger action instruction to a distributed water quality sensor positioned on a sewage discharge path so as to enable the distributed water quality sensor to enter a corresponding water quality and water flow detection mode;
transmitting a detection frequency adjustment action command to a distributed water quality sensor located in the sewage discharge path based on the discharge flow rate of the plant sewage, so that the distributed water quality sensor adjusts the water quality detection frequency and/or the water flow detection frequency of the plant sewage flowing on the sewage discharge path;
the monitoring data analysis module is used for analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage; the plant sewage flow data includes pollutant content data and sewage flow rate data in the flow process after the plant sewage is discharged, and the method comprises the following steps:
analyzing the water quality monitoring data and the water flow monitoring data from the distributed water quality sensor to obtain pollutant content data and sewage flow data of the factory sewage in the flowing process of the sewage discharge path; wherein the contaminant content data includes contaminant concentration profile data along a length of the wastewater discharge path; the sewage flow rate data is sewage flow velocity distribution data along a length direction of the sewage discharge path.
Optionally, the pollutant dispersion model construction module is configured to generate a pollutant flow dispersion model for the discharged plant sewage based on the plant sewage flow state data, including:
analyzing and processing the pollutant concentration distribution data and the sewage flow speed distribution data along the length direction of the sewage discharge path to generate a pollutant flow diffusion model corresponding to the flow of the factory sewage along the sewage discharge path after the factory sewage is discharged; the pollutant flow diffusion model is used for representing the diffusion trend of pollutants in factory sewage along the sewage discharge path;
the water purification operation determining module is used for sending a control instruction to a water purification end through the internet of things based on the pollutant flow diffusion model, determining that the water purification end performs purification operation on factory sewage, and comprises the following steps:
based on the pollutant flow diffusion model, predicting volume information of a sewage part with the corresponding pollutant concentration greater than or equal to a preset concentration threshold value in the sewage discharge path and time information reaching the water purification end;
determining a time of operation of the water purification end to the interception of the plant sewage from the sewage discharge path based on the time information; based on the volume information, determining the weight of the water purification end to inject the trapped factory wastewater into the disinfection material.
Optionally, the water purifying operation adjusting module is used for judging whether the water purifying end is in a working limit state or not based on the operation live data of the purifying operation and the discharge live data of the factory sewage; and when in the working limit state, adjusting the purifying operation of the water purifying end, comprising:
judging whether the water purifying end is in a working limit state based on the water purifying amount of the purifying operation in unit time and the discharge amount of the factory sewage in unit time;
when the water purifying end is in a working limit state, the interception amount of the factory sewage in the process of purifying operation of the water purifying end each time is adjusted.
Compared with the prior art, the application has the following beneficial effects:
the method and the system for monitoring and purifying the water quality of the factory sewage based on the Internet of things are based on the discharge state of the factory sewage, adjust the detection action of the distributed water quality sensor, realize timely and comprehensive monitoring of the sewage and provide reliable data for sewage purification; and extracting pollutant content data and sewage flow data of the factory sewage in the flowing process from monitoring data of the distributed water quality sensor. The pollutant flow diffusion model of the factory sewage in the flowing process is generated, so that the factory sewage can be accurately purified by the control water purification end of the Internet of things in a matched manner, and the factory sewage can be thoroughly purified in time; and when the water purifying end is in the working limit state, the purifying operation of the water purifying end is regulated, so that the water purifying failure caused by the fact that the water purifying end is in the overload working state for a long time is avoided, and the purifying persistence and reliability of sewage are ensured to the maximum extent under the condition of comprehensively and accurately monitoring the sewage.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a schematic flow chart of a factory sewage quality monitoring and purifying method based on the internet of things.
Fig. 2 is a schematic structural diagram of a factory sewage quality monitoring and purifying system based on the internet of things.
Detailed Description
In order that the above objects, features and advantages of the application will be readily understood, a more particular description of the application will be rendered by reference to the appended drawings. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms "comprising" and "having" and any variations thereof herein are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, a method for monitoring and purifying water quality of factory sewage based on internet of things according to an embodiment of the present application includes:
based on the discharge state of the factory sewage, sending a detection action instruction to a distributed water quality sensor;
analyzing the monitoring data from the distributed water quality sensor to obtain the flowing state data of the factory sewage; the factory sewage flow data comprise pollutant content data and sewage flow data in the flow process after factory sewage is discharged;
generating a contaminant flow dispersion model with respect to the plant sewage after being discharged based on the plant sewage flow state data;
based on the pollutant flow diffusion model, a control instruction is sent to the water purification end through the Internet of things, and the purification operation of the water purification end on factory sewage is determined;
judging whether the water purifying end is in a working limit state or not based on the operation live data of the purifying operation and the discharge live data of the factory sewage; and when the water purifying device is in the working limit state, the purifying operation of the water purifying end is adjusted.
The method for monitoring and purifying the water quality of the factory sewage based on the Internet of things has the advantages that the method for monitoring and purifying the water quality of the factory sewage based on the Internet of things adjusts the detection action of the distributed water quality sensor based on the discharge state of the factory sewage, realizes timely and comprehensive monitoring of the sewage, and provides reliable data for sewage purification; and extracting pollutant content data and sewage flow data of the factory sewage in the flowing process from monitoring data of the distributed water quality sensor. The pollutant flow diffusion model of the factory sewage in the flowing process is generated, so that the factory sewage can be accurately purified by the control water purification end of the Internet of things in a matched manner, and the factory sewage can be thoroughly purified in time; and when the water purifying end is in the working limit state, the purifying operation of the water purifying end is regulated, so that the water purifying failure caused by the fact that the water purifying end is in the overload working state for a long time is avoided, and the purifying persistence and reliability of sewage are ensured to the maximum extent under the condition of comprehensively and accurately monitoring the sewage.
In another embodiment, sending a detection action instruction to a distributed water quality sensor based on a discharge status of plant sewage, comprises:
based on the distribution information of the sewage discharge starting time of the factory, sending a trigger action instruction to the distributed water quality sensor positioned on the sewage discharge path so as to enable the distributed water quality sensor to enter a corresponding water quality and water flow detection mode;
based on the discharge flow rate of the plant sewage, sending a detection frequency adjustment action instruction to the distributed water quality sensor located in the sewage discharge path, so that the distributed water quality sensor adjusts the water quality detection frequency and/or the water flow detection frequency of the plant sewage flowing on the sewage discharge path;
analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage, comprising:
analyzing the water quality monitoring data and the water flow monitoring data from the distributed water quality sensor to obtain pollutant content data and sewage flow data of the factory sewage in the flowing process of the sewage discharge path; wherein the contaminant content data includes contaminant concentration profile data along a length of the wastewater discharge path; the sewage flow rate data includes sewage flow velocity distribution data along a length direction of the sewage discharge path.
The beneficial effects of the embodiment are that in the actual sewage treatment operation, the sewage formed in the running process of the factory can be directly discharged outwards through the special sewage drain pipe and conveyed to the water purification end, and the factory sewage is purified and disinfected through the water purification end. Wherein, sewage pipes provides special sewage discharge route for the discharge of sewage to sewage pipes's internal face is formed with distributed water quality sensor, and this distributed water quality sensor includes a plurality of water quality sensing units that set up respectively in sewage pipes internal face different positions, and every water quality sensing unit all includes pollutant sensor and rivers sensor, and this pollutant sensor is used for detecting the inside pollutant concentration etc. data of sewage of its place, and this rivers sensor is used for detecting the sewage flow speed etc. data of its place. The water purifying end comprises a interception tank and water purifying and sterilizing equipment, wherein the interception tank is used as a buffer tank for intercepting and buffering sewage from the sewage pipeline, and the water purifying and sterilizing equipment is used for sterilizing and purifying the sewage from the interception tank. In actual operation, based on the distribution information of the discharge start time of the factory sewage, namely the distribution condition of the discharge start time point corresponding to the outward discharge sewage of the factory, a trigger action instruction is sent to the distributed water quality sensor in real time, so that the distributed water quality sensor can synchronously detect the water quality and the water flow when the factory discharges the sewage, and the real-time detection of the sewage transmitted in the sewage discharge path is ensured; in addition, the factory can discharge sewage with different volume amounts according to the capacity of the factory, namely the discharge amount of the sewage of the factory is not kept unchanged, the discharge amount of the sewage of the factory can be increased or reduced, when the discharge flow of the sewage of the factory is increased, the flowing speed of the sewage in a sewage drainage pipeline is also increased, and at the moment, in order to ensure accurate monitoring of the sewage and ensure sufficient reliability of sewage monitoring data, a monitoring frequency adjustment action command needs to be sent to the distributed water quality sensor, and the water quality detection frequency and/or the water flow detection frequency of each pollutant sensor and/or each water flow sensor of the distributed water quality sensor are increased, so that the sewage data detection amount of the sewage drainage pipeline is increased. And then analyzing the water quality monitoring data (such as pollutant concentration and the like) and the water flow monitoring data (such as sewage flow speed and the like) from the distributed water quality sensor to obtain pollutant concentration distribution data along the length direction of the sewage discharge path and sewage flow speed distribution data along the length direction of the sewage discharge path, thereby accurately monitoring the sewage quality and the flow state of the sewage discharge path.
In another embodiment, generating a contaminant flow dispersion model for the plant effluent after being discharged based on the plant effluent flow state data, comprises:
analyzing and processing the pollutant concentration distribution data and the sewage flow speed distribution data along the length direction of the sewage discharge path to generate a pollutant flow diffusion model corresponding to the flow of the factory sewage along the sewage discharge path after the factory sewage is discharged; the pollutant flow diffusion model is used for representing the diffusion trend of pollutants in the factory sewage along the sewage discharge path;
based on pollutant flow diffusion model, send control command to water purification end through thing networking, confirm water purification end to the purification operation of mill's sewage, include:
based on the pollutant flow diffusion model, predicting volume information of a sewage part with the concentration of the pollutant greater than or equal to a preset concentration threshold value corresponding to the inside of the sewage discharge path and time information of reaching a water purifying end;
determining a retention operation time of the water purification end to the plant sewage from the sewage discharge path based on the time information; based on the volume information, the weight of the water purification end to inject the trapped factory wastewater into the disinfection material is determined.
The beneficial effects of the embodiment are that in actual operation, the deep learning model is trained by taking the pollutant concentration distribution data and the sewage flow speed distribution data along the length direction of the sewage discharge path as references, so as to obtain the pollutant flow diffusion model corresponding to the flow along the sewage discharge path, and the pollutant flow diffusion model can be used for representing the diffusion trend of pollutants in factory sewage along the sewage discharge path, namely representing the pollutant concentration distribution trend of different sections along the length direction of the sewage discharge path. And then, predicting the pollutant concentrations of different parts of the sewage flowing in the sewage discharge path by using the pollutant flow diffusion model, and taking the sewage part with the pollutant concentration greater than or equal to a preset concentration threshold value as a pollutant accumulation peak value part in the sewage discharge path, so as to predict the volume information of the pollutant accumulation peak value part and the time information required by the pollutant accumulation peak value part to reach the water purification end along the sewage discharge path, thereby determining the interception operation time of the water purification end on the factory sewage from the sewage discharge path and determining the weight of the water purification end for injecting the intercepted factory sewage into disinfection materials (such as chlorine-containing disinfection powder), and ensuring that the water purification end can accurately intercept and sufficiently disinfect the sewage.
In another embodiment, determining whether the water purification end is in an operational limit state based on operation live data of the purification operation and emission live data of the plant sewage; and when in the working limit state, adjusting the purifying operation of the water purifying end, comprising:
judging whether the water purifying end is in a working limit state or not based on the water purifying amount in unit time of the purifying operation and the discharge amount of the factory sewage in unit time;
when the water purifying end is in a working limit state, the interception amount of the factory sewage in the process of purifying operation of the water purifying end each time is adjusted.
The beneficial effects of the embodiment are that the water purification amount of the purification operation in unit time is compared with the discharge amount of the factory sewage in unit time, if the water purification amount of the purification operation in unit time is smaller than the discharge amount of the factory sewage in unit time, the water purification end is judged to be in a working limit state, and the interception amount of the factory sewage in the process of each purification operation of the water purification end is reduced at the moment, so that the water purification end can thoroughly disinfect and purify the intercepted sewage fully.
Referring to fig. 2, a factory sewage quality monitoring and purifying system based on internet of things according to an embodiment of the present application includes:
the water quality sensor control module is used for sending a detection action instruction to the distributed water quality sensor based on the discharge state of the factory sewage;
the monitoring data analysis module is used for analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage; the factory sewage flow data comprise pollutant content data and sewage flow data in the flow process after factory sewage is discharged;
the pollutant diffusion model construction module is used for generating a pollutant flow diffusion model for the discharged factory sewage based on the factory sewage flow state data;
the water purification operation determining module is used for determining the purification operation of the water purification end on the factory sewage by sending a control instruction to the water purification end through the Internet of things based on the pollutant flow diffusion model;
the water purification operation adjustment module is used for judging whether the water purification end is in a working limit state or not based on operation live data of purification operation and emission live data of factory sewage; and when the water purifying device is in the working limit state, the purifying operation of the water purifying end is adjusted.
The industrial sewage water quality monitoring and purifying system based on the Internet of things has the beneficial effects that the detection action of the distributed water quality sensor is adjusted based on the discharge state of industrial sewage, so that timely and comprehensive monitoring of sewage is realized, and reliable data is provided for sewage purification; and extracting pollutant content data and sewage flow data of the factory sewage in the flowing process from monitoring data of the distributed water quality sensor. The pollutant flow diffusion model of the factory sewage in the flowing process is generated, so that the factory sewage can be accurately purified by the control water purification end of the Internet of things in a matched manner, and the factory sewage can be thoroughly purified in time; and when the water purifying end is in the working limit state, the purifying operation of the water purifying end is regulated, so that the water purifying failure caused by the fact that the water purifying end is in the overload working state for a long time is avoided, and the purifying persistence and reliability of sewage are ensured to the maximum extent under the condition of comprehensively and accurately monitoring the sewage.
In another embodiment, the water quality sensor control module is configured to send a detection action instruction to the distributed water quality sensor based on a discharge status of the plant sewage, including:
based on the distribution information of the sewage discharge starting time of the factory, sending a trigger action instruction to the distributed water quality sensor positioned on the sewage discharge path so as to enable the distributed water quality sensor to enter a corresponding water quality and water flow detection mode;
based on the discharge flow rate of the plant sewage, sending a detection frequency adjustment action instruction to the distributed water quality sensor located in the sewage discharge path, so that the distributed water quality sensor adjusts the water quality detection frequency and/or the water flow detection frequency of the plant sewage flowing on the sewage discharge path;
the monitoring data analysis module is used for analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage; the plant sewage flow data includes pollutant content data and sewage flow rate data in the flow process after the plant sewage is discharged, and the method comprises the following steps:
analyzing the water quality monitoring data and the water flow monitoring data from the distributed water quality sensor to obtain pollutant content data and sewage flow data of the factory sewage in the flowing process of the sewage discharge path; wherein the contaminant content data includes contaminant concentration profile data along a length of the wastewater discharge path; the sewage flow rate data includes sewage flow velocity distribution data along a length direction of the sewage discharge path.
The beneficial effects of the embodiment are that in the actual sewage treatment operation, the sewage formed in the running process of the factory can be directly discharged outwards through the special sewage drain pipe and conveyed to the water purification end, and the factory sewage is purified and disinfected through the water purification end. Wherein, sewage pipes provides special sewage discharge route for the discharge of sewage to sewage pipes's internal face is formed with distributed water quality sensor, and this distributed water quality sensor includes a plurality of water quality sensing units that set up respectively in sewage pipes internal face different positions, and every water quality sensing unit all includes pollutant sensor and rivers sensor, and this pollutant sensor is used for detecting the inside pollutant concentration etc. data of sewage of its place, and this rivers sensor is used for detecting the sewage flow speed etc. data of its place. The water purifying end comprises a interception tank and water purifying and sterilizing equipment, wherein the interception tank is used as a buffer tank for intercepting and buffering sewage from the sewage pipeline, and the water purifying and sterilizing equipment is used for sterilizing and purifying the sewage from the interception tank. In actual operation, based on the distribution information of the discharge start time of the factory sewage, namely the distribution condition of the discharge start time point corresponding to the outward discharge sewage of the factory, a trigger action instruction is sent to the distributed water quality sensor in real time, so that the distributed water quality sensor can synchronously detect the water quality and the water flow when the factory discharges the sewage, and the real-time detection of the sewage transmitted in the sewage discharge path is ensured; in addition, the factory can discharge sewage with different volume amounts according to the capacity of the factory, namely the discharge amount of the sewage of the factory is not kept unchanged, the discharge amount of the sewage of the factory can be increased or reduced, when the discharge flow of the sewage of the factory is increased, the flowing speed of the sewage in a sewage drainage pipeline is also increased, and at the moment, in order to ensure accurate monitoring of the sewage and ensure sufficient reliability of sewage monitoring data, a monitoring frequency adjustment action command needs to be sent to the distributed water quality sensor, and the water quality detection frequency and/or the water flow detection frequency of each pollutant sensor and/or each water flow sensor of the distributed water quality sensor are increased, so that the sewage data detection amount of the sewage drainage pipeline is increased. And then analyzing the water quality monitoring data (such as pollutant concentration and the like) and the water flow monitoring data (such as sewage flow speed and the like) from the distributed water quality sensor to obtain pollutant concentration distribution data along the length direction of the sewage discharge path and sewage flow speed distribution data along the length direction of the sewage discharge path, thereby accurately monitoring the sewage quality and the flow state of the sewage discharge path.
In another embodiment, a contaminant diffusion model construction module for generating a contaminant flow diffusion model for a plant effluent after being discharged based on plant effluent flow state data, comprises:
analyzing and processing the pollutant concentration distribution data and the sewage flow speed distribution data along the length direction of the sewage discharge path to generate a pollutant flow diffusion model corresponding to the flow of the factory sewage along the sewage discharge path after the factory sewage is discharged; the pollutant flow diffusion model is used for representing the diffusion trend of pollutants in the factory sewage along the sewage discharge path;
the water purification operation determining module is used for sending control instructions to the water purification end through the internet of things based on the pollutant flow diffusion model, determining the purification operation of the water purification end to factory sewage, and comprises the following steps:
based on the pollutant flow diffusion model, predicting volume information of a sewage part with the concentration of the pollutant greater than or equal to a preset concentration threshold value corresponding to the inside of the sewage discharge path and time information of reaching a water purifying end;
determining a retention operation time of the water purification end to the plant sewage from the sewage discharge path based on the time information; based on the volume information, the weight of the water purification end to inject the trapped factory wastewater into the disinfection material is determined.
The beneficial effects of the embodiment are that in actual operation, the deep learning model is trained by taking the pollutant concentration distribution data and the sewage flow speed distribution data along the length direction of the sewage discharge path as references, so as to obtain the pollutant flow diffusion model corresponding to the flow along the sewage discharge path, and the pollutant flow diffusion model can be used for representing the diffusion trend of pollutants in factory sewage along the sewage discharge path, namely representing the pollutant concentration distribution trend of different sections along the length direction of the sewage discharge path. And then, predicting the pollutant concentrations of different parts of the sewage flowing in the sewage discharge path by using the pollutant flow diffusion model, and taking the sewage part with the pollutant concentration greater than or equal to a preset concentration threshold value as a pollutant accumulation peak value part in the sewage discharge path, so as to predict the volume information of the pollutant accumulation peak value part and the time information required by the pollutant accumulation peak value part to reach the water purification end along the sewage discharge path, thereby determining the interception operation time of the water purification end on the factory sewage from the sewage discharge path and determining the weight of the water purification end for injecting the intercepted factory sewage into disinfection materials (such as chlorine-containing disinfection powder), and ensuring that the water purification end can accurately intercept and sufficiently disinfect the sewage.
In another embodiment, the water purification operation adjustment module is configured to determine whether the water purification end is in an operation limit state based on operation live data of the purification operation and discharge live data of the plant sewage; and when in the working limit state, adjusting the purifying operation of the water purifying end, comprising:
judging whether the water purifying end is in a working limit state or not based on the water purifying amount in unit time of the purifying operation and the discharge amount of the factory sewage in unit time;
when the water purifying end is in a working limit state, the interception amount of the factory sewage in the process of purifying operation of the water purifying end each time is adjusted.
The beneficial effects of the embodiment are that the water purification amount of the purification operation in unit time is compared with the discharge amount of the factory sewage in unit time, if the water purification amount of the purification operation in unit time is smaller than the discharge amount of the factory sewage in unit time, the water purification end is judged to be in a working limit state, and the interception amount of the factory sewage in the process of each purification operation of the water purification end is reduced at the moment, so that the water purification end can thoroughly disinfect and purify the intercepted sewage fully.
In general, the method and the system for monitoring and purifying the water quality of the factory sewage based on the Internet of things are based on the discharge state of the factory sewage, and the detection action of the distributed water quality sensor is adjusted, so that the timely and comprehensive monitoring of the sewage is realized, and reliable data is provided for sewage purification; and extracting pollutant content data and sewage flow data of the factory sewage in the flowing process from monitoring data of the distributed water quality sensor. The pollutant flow diffusion model of the factory sewage in the flowing process is generated, so that the factory sewage can be accurately purified by the control water purification end of the Internet of things in a matched manner, and the factory sewage can be thoroughly purified in time; and when the water purifying end is in the working limit state, the purifying operation of the water purifying end is regulated, so that the water purifying failure caused by the fact that the water purifying end is in the overload working state for a long time is avoided, and the purifying persistence and reliability of sewage are ensured to the maximum extent under the condition of comprehensively and accurately monitoring the sewage.
The foregoing is merely one specific embodiment of the application, and any modifications made in light of the above teachings are intended to fall within the scope of the application.
Claims (8)
1. The factory sewage quality monitoring and purifying method based on the Internet of things is characterized by comprising the following steps:
based on the discharge state of the factory sewage, sending a detection action instruction to a distributed water quality sensor; analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage; the factory sewage flow data comprise pollutant content data and sewage flow data in the flowing process after factory sewage is discharged;
generating a contaminant flow dispersion model for the plant sewage after being discharged based on the plant sewage flow state data;
based on the pollutant flow diffusion model, sending a control instruction to a water purification end through the Internet of things, and determining the purification operation of the water purification end on the factory sewage;
judging whether the water purifying end is in a working limit state or not based on the operation live data of the purifying operation and the discharge live data of the factory sewage; and when the water purifying device is in the working limit state, the purifying operation of the water purifying end is adjusted.
2. The method for monitoring and purifying the quality of the factory sewage based on the internet of things as set forth in claim 1, wherein:
based on the discharge state of the factory sewage, sending a detection action instruction to the distributed water quality sensor, comprising:
based on the distribution information of the sewage discharge starting time of the factory, sending a trigger action instruction to a distributed water quality sensor positioned on a sewage discharge path so as to enable the distributed water quality sensor to enter a corresponding water quality and water flow detection mode;
transmitting a detection frequency adjustment action command to a distributed water quality sensor located in the sewage discharge path based on the discharge flow rate of the plant sewage, so that the distributed water quality sensor adjusts the water quality detection frequency and/or the water flow detection frequency of the plant sewage flowing on the sewage discharge path; analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage, wherein the method comprises the following steps:
analyzing the water quality monitoring data and the water flow monitoring data from the distributed water quality sensor to obtain pollutant content data and sewage flow data of the factory sewage in the flowing process of the sewage discharge path; wherein the contaminant content data includes contaminant concentration profile data along a length of the wastewater discharge path; the sewage flow rate data is sewage flow velocity distribution data along a length direction of the sewage discharge path.
3. The method for monitoring and purifying the quality of the factory sewage based on the internet of things as set forth in claim 1, wherein:
generating a contaminant flow dispersion model for the plant sewage after being discharged based on the plant sewage flow state data, comprising:
analyzing and processing the pollutant concentration distribution data and the sewage flow speed distribution data along the length direction of the sewage discharge path to generate a pollutant flow diffusion model corresponding to the flow of the factory sewage along the sewage discharge path after the factory sewage is discharged; the pollutant flow diffusion model is used for representing the diffusion trend of pollutants in factory sewage along the sewage discharge path; based on the pollutant flow diffusion model, send control instruction to the water purification end through the thing networking, confirm the water purification end to the purification operation of mill's sewage includes:
based on the pollutant flow diffusion model, predicting volume information of a sewage part with the corresponding pollutant concentration greater than or equal to a preset concentration threshold value in the sewage discharge path and time information reaching the water purification end;
determining a time of operation of the water purification end to the interception of the plant sewage from the sewage discharge path based on the time information; based on the volume information, determining the weight of the water purification end to inject the trapped factory wastewater into the disinfection material.
4. The method for monitoring and purifying the quality of the factory sewage based on the internet of things as set forth in claim 1, wherein:
judging whether the water purifying end is in a working limit state or not based on the operation live data of the purifying operation and the discharge live data of the factory sewage; and when in the working limit state, adjusting the purifying operation of the water purifying end, comprising:
judging whether the water purifying end is in a working limit state based on the water purifying amount of the purifying operation in unit time and the discharge amount of the factory sewage in unit time;
when the water purifying end is in a working limit state, the interception amount of the factory sewage in the process of purifying operation of the water purifying end each time is adjusted.
5. Factory sewage water quality monitoring and clean system based on thing networking, its characterized in that includes:
the water quality sensor control module is used for sending a detection action instruction to the distributed water quality sensor based on the discharge state of the factory sewage;
the monitoring data analysis module is used for analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage; the factory sewage flow data comprise pollutant content data and sewage flow data in the flowing process after factory sewage is discharged;
a contaminant diffusion model construction module for generating a contaminant flow diffusion model for the discharged plant wastewater based on the plant wastewater flow state data;
the water purification operation determining module is used for determining the purification operation of the water purification end on the factory sewage by sending a control instruction to the water purification end through the Internet of things based on the pollutant flow diffusion model;
a water purification operation adjustment module for judging whether the water purification end is in a working limit state based on operation live data of the purification operation and discharge live data of the plant sewage; and is combined with
And when the water purifying device is in the working limit state, adjusting the purifying operation of the water purifying end.
6. The internet of things-based factory sewage quality monitoring and purification system of claim 5, wherein:
the water quality sensor control module is used for sending detection action instructions to the distributed water quality sensor based on the discharge state of factory sewage, and comprises the following components:
based on the distribution information of the sewage discharge starting time of the factory, sending a trigger action instruction to a distributed water quality sensor positioned on a sewage discharge path so as to enable the distributed water quality sensor to enter a corresponding water quality and water flow detection mode;
transmitting a detection frequency adjustment action command to a distributed water quality sensor located in the sewage discharge path based on the discharge flow rate of the plant sewage, so that the distributed water quality sensor adjusts the water quality detection frequency and/or the water flow detection frequency of the plant sewage flowing on the sewage discharge path; the monitoring data analysis module is used for analyzing the monitoring data from the distributed water quality sensor to obtain the flow state data of the factory sewage; the plant sewage flow data includes pollutant content data and sewage flow rate data in the flow process after the plant sewage is discharged, and the method comprises the following steps:
analyzing the water quality monitoring data and the water flow monitoring data from the distributed water quality sensor to obtain pollutant content data and sewage flow data of the factory sewage in the flowing process of the sewage discharge path; wherein the contaminant content data includes contaminant concentration profile data along a length of the wastewater discharge path; the sewage flow rate data is sewage flow velocity distribution data along a length direction of the sewage discharge path.
7. The internet of things-based factory sewage quality monitoring and purification system of claim 5, wherein:
the contaminant diffusion model construction module is configured to generate a contaminant flow diffusion model for the discharged plant wastewater based on the plant wastewater flow state data, including:
analyzing and processing the pollutant concentration distribution data and the sewage flow speed distribution data along the length direction of the sewage discharge path to generate a pollutant flow diffusion model corresponding to the flow of the factory sewage along the sewage discharge path after the factory sewage is discharged; the pollutant flow diffusion model is used for representing the diffusion trend of pollutants in factory sewage along the sewage discharge path; the water purification operation determining module is used for sending a control instruction to a water purification end through the internet of things based on the pollutant flow diffusion model, determining that the water purification end performs purification operation on factory sewage, and comprises the following steps:
based on the pollutant flow diffusion model, predicting volume information of a sewage part with the corresponding pollutant concentration greater than or equal to a preset concentration threshold value in the sewage discharge path and time information reaching the water purification end;
determining a time of operation of the water purification end to the interception of the plant sewage from the sewage discharge path based on the time information; based on the volume information, determining the weight of the water purification end to inject the trapped factory wastewater into the disinfection material.
8. The internet of things-based factory sewage quality monitoring and purification system of claim 5, wherein:
the water purifying operation adjusting module is used for judging whether the water purifying end is in a working limit state or not based on the operation live data of the purifying operation and the discharge live data of the factory sewage; and when in the working limit state, adjusting the purifying operation of the water purifying end, comprising:
judging whether the water purifying end is in a working limit state based on the water purifying amount of the purifying operation in unit time and the discharge amount of the factory sewage in unit time;
when the water purifying end is in a working limit state, the interception amount of the factory sewage in the process of purifying operation of the water purifying end each time is adjusted.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310783977.4A CN116854156A (en) | 2023-06-29 | 2023-06-29 | Factory sewage quality monitoring and purifying method and system based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310783977.4A CN116854156A (en) | 2023-06-29 | 2023-06-29 | Factory sewage quality monitoring and purifying method and system based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116854156A true CN116854156A (en) | 2023-10-10 |
Family
ID=88227879
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310783977.4A Pending CN116854156A (en) | 2023-06-29 | 2023-06-29 | Factory sewage quality monitoring and purifying method and system based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116854156A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117422271A (en) * | 2023-11-07 | 2024-01-19 | 南通恒源自控工程有限公司 | Pipe network scheduling adjustment method and system based on water quality data |
-
2023
- 2023-06-29 CN CN202310783977.4A patent/CN116854156A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117422271A (en) * | 2023-11-07 | 2024-01-19 | 南通恒源自控工程有限公司 | Pipe network scheduling adjustment method and system based on water quality data |
| CN117422271B (en) * | 2023-11-07 | 2024-05-14 | 南通恒源自控工程有限公司 | Pipe network scheduling adjustment method and system based on water quality data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116854156A (en) | Factory sewage quality monitoring and purifying method and system based on Internet of things | |
| Nielsen et al. | Aerobic and anaerobic transformations of sulfide in a sewer system—field study and model simulations | |
| CN111804723B (en) | In-situ chemical oxidation repair monitoring and regulating system | |
| CN107340375A (en) | A kind of water pollution on-Line Monitor Device and method | |
| CN201495125U (en) | System for performing on-line monitoring on residual chlorine in fluid | |
| ATE352013T1 (en) | CONTROL DEVICE FOR A WASTE PROCESSING PLANT | |
| US11964890B2 (en) | Methods and ventilation system for controlling a biological treatment process | |
| JP4439825B2 (en) | Water quality control device for sewer facilities | |
| US20200086268A1 (en) | Gas purifying apparatus | |
| Wells et al. | Findings of a 4 year study of concrete sewer pipe corrosion | |
| CN115453070B (en) | Pollutant early warning method for intelligent environment-friendly housekeeper | |
| JP4922214B2 (en) | Water treatment method and water treatment apparatus | |
| KR101035031B1 (en) | Water quality measuring system | |
| CN116013050B (en) | Sewage monitoring and early warning method for urban underground sewage disposal system | |
| CN116298167A (en) | Online water quality detection system of oil field | |
| JP4516364B2 (en) | Chlorine demand measuring device, water quality management system, chlorine demand measuring method, and water quality management method | |
| EP3243096A1 (en) | Method of obtaining or maintaining optical transmittance into deaerated liquid | |
| CN118047476B (en) | River and lake water quality intelligent monitoring regulation and control system | |
| JP2006110443A (en) | Water-quality monitoring system | |
| CN114112792B (en) | Fluid slurry treatment system and instantaneous density detection device and method thereof | |
| JP2004275829A (en) | Water quality improvement controlling device of confluential sewerage treatment equipment | |
| KR101478976B1 (en) | Smart flowmeter | |
| CN107727818B (en) | Environment-friendly water quality monitoring system | |
| CN117054676B (en) | Operation and maintenance intelligent control system of wastewater on-line monitoring equipment | |
| CN218058502U (en) | Electron beam wastewater processor goes out water control system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |