CN113023873B - Intelligent management system and method for sewage treatment - Google Patents
Intelligent management system and method for sewage treatment Download PDFInfo
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Abstract
The invention relates to the technical field of sewage treatment, in particular to an intelligent management system and method for sewage treatment, which comprises a data acquisition module, a sewage treatment module, a regulation and control module and a cloud server, wherein the data acquisition module, the sewage treatment module, the regulation and control module and the control module are positioned at each sewage treatment point; the data acquisition module, the sewage treatment module and the regulation and control module are in communication connection with the control module, and the sewage identification module is used for identifying a sewage treatment point corresponding to MBR membrane pollution information when the information is received; the model building module is used for building a control model according to the historical MBR membrane transmembrane pressure difference of a certain sewage treatment point; the model matching module selects a corresponding control model from the database according to the received MBR membrane pollution information, and the control module controls the regulation and control module according to the transmitted information.
Description
Technical Field
The invention relates to the technical field of sewage treatment, in particular to an intelligent management system and method for sewage treatment.
Background
Sewage treatment is a process of purifying sewage to meet the discharge requirement or the reuse requirement. Sewage treatment is widely applied to various fields such as construction, agriculture, traffic, energy, petrifaction, environmental protection, urban landscape, medical treatment, catering and the like. The sewage treatment is generally classified into production sewage treatment and domestic sewage treatment according to the classification of sewage sources. The production sewage comprises industrial sewage, agricultural sewage, medical sewage and the like, and the domestic sewage is sewage generated in daily life and refers to complex mixtures of various forms of inorganic matters and organic matters.
At present, a Membrane Bioreactor (MBR) is often used in the aspect of sewage treatment, and can achieve higher nutrient removal rate and higher biomass retention rate under the condition of not using a secondary clarifying agent. MBR membrane pollution, one of the most challenging problems in the operation of membrane bioreactor processes, can increase the operation energy consumption and the use cost, and even can cause paralysis of the sewage treatment process. When the MBR membrane fouling occurs, the membrane should be cleaned or replaced in time, however, repeated cleaning and replacement increases energy consumption. In addition, excessive cleaning can lead to tearing and corrosion of the membrane filaments, resulting in a decrease in membrane performance.
Disclosure of Invention
The invention aims to provide an intelligent management system and method for sewage treatment, which can solve the problems of energy consumption increase and use cost increase caused by membrane performance reduction caused by membrane pollution of the conventional MBR.
The basic scheme provided by the invention is as follows: the intelligent management system for sewage treatment comprises a data acquisition module, a sewage treatment module, a regulation and control module and a cloud server, wherein the data acquisition module, the sewage treatment module, the regulation and control module and the control module are positioned at each sewage treatment point, and the cloud server is in communication connection with each control module; the data acquisition module, the sewage treatment module and the regulation and control module are in communication connection with the control module; the sewage treatment module comprises a membrane bioreactor in a sewage treatment link; the regulation and control module is used for regulating and controlling the membrane bioreactor of each sewage treatment point; the data acquisition module is used for acquiring MBR membrane pollution information in each membrane bioreactor in real time and sending the MBR membrane pollution information to the control module; the control module is used for sending the received MBR membrane pollution information to the cloud server;
the cloud server includes: the sewage identification module is used for identifying a sewage treatment point corresponding to the MBR membrane pollution information when the MBR membrane pollution information is received; the database is used for storing the total information and the control model of the membrane bioreactor of each sewage treatment point, and the total information of the membrane bioreactor comprises the transmembrane pressure difference and the flux of an MBR membrane; the model building module is used for building a control model of the membrane bioreactor according to the historical MBR membrane transmembrane pressure and membrane flux information of a certain sewage treatment point, and the control model corresponds to each sewage treatment point one by one; and the model matching module is used for selecting a control model corresponding to a certain sewage treatment point from the database according to the currently received MBR membrane pollution information, transmitting the information of the control model to the control module corresponding to the sewage treatment point, and controlling the membrane bioreactor by the control module according to the transmitted information by the control module.
The principle and the advantages of the invention are as follows: the method adopts a model establishing module to establish a control model of the membrane bioreactor according to historical membrane bioreactor transmembrane pressure and membrane flux information of a certain sewage treatment point, namely, each sewage treatment point has a corresponding MBR membrane control model; the model matching module selects a control model corresponding to a certain sewage treatment point from the database according to the currently received MBR membrane pollution information, transmits the information of the control model to the control module corresponding to the sewage treatment point, and the control module controls the regulation and control module according to the transmitted information to achieve the purpose of taking measures corresponding to different sewage treatment points according to different MBR membrane pollution information.
Based on the big data processing capacity of the cloud server, the system can dynamically adjust the membrane bioreactor in sewage treatment according to MBR membrane pollution information of each sewage treatment point acquired in real time so as to ensure that the membrane bioreactor can effectively work at different sewage treatment points, realize the intelligent regulation and control of the membrane bioreactor of each sewage treatment point, and effectively solve the problems of energy consumption increase and use cost increase caused by membrane performance reduction due to MBR membrane pollution.
Further, the sewage treatment module also comprises a grating well and a regulating tank; the grating well is used for removing sediments; the adjusting tank is used for adjusting the water quantity and the water quality.
Through adopting grid well and equalizing basin to handle sewage, can get rid of great precipitate and adjust water yield, quality of water, can slow down the treatment pressure of membrane bioreactor to sewage.
Further, the data acquisition module also comprises a water yield acquisition module for acquiring the water yield of each sewage treatment point.
Through collecting the water yield of each sewage treatment point, the model establishment of the water outlet information is facilitated to provide data.
Further, the model establishing module is used for establishing a control model of the membrane bioreactor according to historical water outlet information of a certain sewage treatment point.
The control model of the membrane bioreactor is established through historical water outlet information, so that the control model of the corresponding membrane bioreactor can be quickly found through the information acquired in real time.
Further, the model matching module is also used for selecting a control model corresponding to a certain sewage treatment point from the database according to the currently received effluent information.
Through the currently received water outlet information, a control model corresponding to a certain sewage treatment point is conveniently and quickly selected from the database.
Further, the database also stores expert experience data corresponding to MBR membrane pollution information; and the model matching module is also used for selecting corresponding expert experience data according to the currently received MBR membrane pollution information when a certain control model cannot be matched, and sending the expert experience data to the control module corresponding to the MBR membrane pollution information if the corresponding expert experience data is selected.
The method is a supplement to the control model by storing the expert experience data in the database, when the model matching module is not matched with a certain control model, the model matching module selects corresponding expert experience data according to the MBR membrane pollution information received currently, and if the corresponding expert experience data is selected, the expert experience data is sent to the control module corresponding to the MBR membrane pollution information.
Further, the cloud server further comprises an alarm module, and the alarm module is used for sending alarm information to the control module when the MBR membrane pollution information exceeds a normal range value.
When the MBR membrane pollution information is monitored to be out of the normal range value, the MBR membrane can not be used any more, and an alarm is given in time, so that problems can be found in time and the MBR membrane can be replaced.
The invention also provides an intelligent management method for sewage treatment, which adopts the intelligent management system for sewage treatment.
Further, the method comprises the following steps: the sewage treatment step: the membrane bioreactor is used for treating sewage; the regulation and control steps are as follows: regulating and controlling the membrane bioreactor of each sewage treatment point; a data acquisition step: collecting MBR membrane pollution information in each membrane bioreactor in real time and sending the MBR membrane pollution information to a control module; the control steps are as follows: and sending the received MBR membrane pollution information to a cloud server.
Further, still include: a sewage identification step: identifying a sewage treatment point corresponding to MBR membrane pollution information when the information is received; a database establishing step: storing the total information and control model of the membrane bioreactor of each sewage treatment point, wherein the total information of the membrane bioreactor comprises the transmembrane pressure difference and the transmembrane flux of an MBR (membrane bioreactor); a model establishing step: establishing a control model of the membrane bioreactor according to the historical MBR membrane transmembrane pressure difference and membrane flux information of a certain sewage treatment point, wherein the control model corresponds to each sewage treatment point one by one; model matching: selecting a control model corresponding to a certain sewage treatment point from a database according to the currently received MBR membrane pollution information, transmitting the information of the control model to a control module corresponding to the sewage treatment point, and controlling a regulation module by the control module according to the transmitted information.
The method has the beneficial effects that: based on the big data processing capacity of the cloud server, the system can dynamically adjust the membrane bioreactor in sewage treatment according to MBR membrane pollution information of each sewage treatment point acquired in real time so as to ensure that the membrane bioreactor can effectively work at different sewage treatment points, realize the intelligent regulation and control of the membrane bioreactor of each sewage treatment point, and effectively solve the problems of energy consumption increase and use cost increase caused by membrane performance reduction due to MBR membrane pollution.
Drawings
FIG. 1 is a schematic block diagram of a first embodiment of an intelligent management system for wastewater treatment according to the present invention.
FIG. 2 is a flowchart of a second embodiment of the intelligent management system for wastewater treatment according to the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the intelligent management system for sewage treatment comprises a data acquisition module, a sewage treatment module, a regulation module, a control module and a cloud server, wherein the data acquisition module, the sewage treatment module, the regulation module and the control module are positioned at each sewage treatment point, and the cloud server is in communication connection with each control module; the data acquisition module, the sewage treatment module and the regulation and control module are in communication connection with the control module; the data acquisition module and the sewage treatment module in the embodiment are only in communication connection with the control module of the same sewage treatment point, the sewage treatment point in the embodiment represents a treatment point in the same sewage treatment plant but with different water yield, and each sewage treatment point in the embodiment is also provided with a monitoring machine room.
The sewage treatment module comprises a membrane bioreactor in a sewage treatment link, the material of the membrane bioreactor adopts an organic membrane, and the membrane material adopts polyethylene, polyvinylidene fluoride or polypropylene; the device also comprises a grating well and a regulating tank, wherein the grating well is used for removing larger sediments; the adjusting tank is used for adjusting the water quantity and the water quality.
And the data acquisition module is used for acquiring MBR membrane pollution information (such as 50% of MBR membrane pollution, 80% of MBR membrane pollution and the like) in each membrane bioreactor in real time and the water yield (such as 100L/h) of each sewage treatment point and sending the water yield to the control module.
And the control module is used for sending the received MBR membrane pollution information and the water yield of each sewage treatment point to the cloud server. The method specifically comprises the following steps: the control module comprises a controller and a communication module, the controller uploads sewage treatment point address information of a data acquisition module for acquiring MBR membrane pollution information and the water yield of each sewage treatment point while sending the MBR membrane pollution information and the water yield of each sewage treatment point through the communication module, for example, the data acquisition module of each sewage treatment point has a corresponding serial number, and the controller sends the MBR membrane pollution information and the water yield of each sewage treatment point and the serial numbers corresponding to the MBR membrane pollution information and the water yield information of each sewage treatment point to the cloud server through the communication module.
The regulation and control module is used for regulating and controlling the membrane bioreactor of each sewage treatment point; the regulation and control module comprises a parameter regulation and control module and a position regulation and control module, and the parameter regulation and control module is used for regulating the operation parameters of the sewage treatment point, such as the operation state, the flow rate and the like; the position regulating module is used for regulating the position of the membrane bioreactor, such as: the membrane bioreactor of the sewage treatment point A is regulated to the sewage treatment point B, and the membrane bioreactor of the sewage treatment point B is regulated to the sewage treatment point C.
The sewage identification module is used for identifying a sewage treatment point corresponding to the MBR membrane pollution information when the MBR membrane pollution information is received; specifically, the sewage identification module is internally provided with an MBR membrane pollution information classification corresponding table, and each sewage treatment point is provided with MBR membrane pollution information in one-to-one correspondence, so that the sewage identification module can be matched with the corresponding sewage treatment point according to the received MBR membrane pollution information.
The system comprises a database, a data base and a control module, wherein the database is used for storing the total information and the control model of the membrane bioreactor of each sewage treatment point, the total information of the membrane bioreactor comprises the transmembrane pressure difference and the flux of an MBR (membrane bioreactor), and also stores expert experience data corresponding to MBR membrane pollution information; specifically, one sewage treatment point is a sub-database, and the sub-database stores the transmembrane pressure difference of the MBR membrane and the flux of the MBR membrane.
The model establishing module is used for establishing a control model of the membrane bioreactor according to the historical MBR membrane transmembrane pressure difference, the membrane flux and the historical effluent information of a certain sewage treatment point, and the control model corresponds to each sewage treatment point one by one; for example: aiming at the sewage treatment point A, when historical MBR membrane transmembrane pressure difference and membrane flux data of the sewage treatment point A exist, analyzing membrane flux when the MBR membrane of the sewage treatment point A is replaced from the historical data, and calculating the membrane flux as an MBR membrane limit value of the sewage treatment point; aiming at the sewage treatment point B, the historical water yield of the sewage treatment point B is respectively as follows: 100L/h, 50L/h, 10L/h and the like, analyzing the water yield of the sewage treatment point B during MBR membrane replacement according to historical data, and calculating the water yield as the water yield limit value of the sewage treatment point.
The model matching module is used for selecting a control model corresponding to a certain sewage treatment point from the database according to the currently received MBR membrane pollution and effluent information, and transmitting the information of the control model to the control module corresponding to the sewage treatment point; and when the control model is not matched with a certain control model, selecting corresponding expert experience data according to the MBR membrane pollution information received currently, and if the corresponding expert experience data is selected, sending the expert experience data to a control module corresponding to the MBR membrane pollution information to control the membrane bioreactor by controlling a regulation and control module according to the transmitted information.
The position regulating quantity generating module is used for generating the position regulating quantity of the membrane bioreactor according to the data of each sewage treatment node and the treatment grade of the sewage treatment node, and the position regulating module regulates the position of the membrane bioreactor according to the position regulating quantity of the membrane bioreactor; the position regulating quantity generating module comprises a grade matching module and is used for grading the grade of the membrane bioreactor of each sewage treatment node according to MBR (membrane biological reactor) membrane pollution information of the sewage treatment points and the water yield condition of each sewage treatment point, and the position regulating quantity generating module is used for regulating and controlling the membrane bioreactor to the sewage treatment node of the corresponding grade to generate the corresponding bioreactor position regulating quantity when the grade of the membrane bioreactor cannot meet the treatment grade requirement of the corresponding sewage treatment node.
And the alarm module is used for sending alarm information to the control module when the MBR membrane pollution information exceeds a normal range value.
Example two
As shown in fig. 2, the present invention also provides an intelligent management method for sewage treatment, comprising the following steps:
a sewage treatment step: the membrane bioreactor is used for treating sewage;
the regulation and control steps are as follows: regulating and controlling the membrane bioreactor of each sewage treatment point;
a data acquisition step: collecting MBR membrane pollution information in each membrane bioreactor in real time and sending the MBR membrane pollution information to a control module;
the control steps are as follows: and sending the received MBR membrane pollution information to a cloud server.
Further comprising:
a sewage identification step: identifying a sewage treatment point corresponding to MBR membrane pollution information when the information is received;
a database establishing step: storing the total information and control model of the membrane bioreactor of each sewage treatment point, wherein the total information of the membrane bioreactor comprises the transmembrane pressure difference and the transmembrane flux of an MBR (membrane bioreactor);
a model establishing step: establishing a control model of the membrane bioreactor according to the historical MBR membrane transmembrane pressure difference and membrane flux information of a certain sewage treatment point, wherein the control model corresponds to each sewage treatment point one by one;
model matching: selecting a control model corresponding to a certain sewage treatment point from a database according to the currently received MBR membrane pollution information, transmitting the information of the control model to a control module corresponding to the sewage treatment point, and controlling a regulation module by the control module according to the transmitted information.
The working method of each step in this embodiment is basically the same as that in the first embodiment, and is not described herein again.
EXAMPLE III
The difference between the embodiment and the first embodiment is that the embodiment further comprises a membrane pollution prediction module, the position regulating quantity generation module further comprises a scheduling scheme generation module, a replacement time prediction module and a replacement time unified scheduling module, and the scheduling scheme generation module is used for generating a membrane bioreactor position scheduling scheme; the membrane pollution prediction module adopts an artificial intelligence-based membrane pollution prediction model to predict the pollution condition of the membrane bioreactor of each sewage treatment node under each scheduling scheme, specifically adopts a BP neural network model, and comprises an input layer, a hidden layer and an output layer, wherein the input layer takes the running time of the membrane bioreactor, the grade of a sewage treatment point, the transmembrane pressure difference and the membrane flux information of an MBR (membrane bioreactor) corresponding to the membrane bioreactor and the like as input, and the output layer outputs the prediction result of the membrane pollution degree within a certain time range in the future.
The replacement time prediction module is used for judging the replacement time of the MBR membrane of each membrane bioreactor under each scheduling scheme according to the prediction result of the membrane pollution prediction module;
and the replacement time unified scheduling module is used for scoring each scheduling scheme according to the prediction result of the replacement time prediction module, selecting the scheduling scheme with the highest score as a target scheme, and generating the corresponding bioreactor position regulating quantity according to the target scheme. In this embodiment, when the scheduling scheme is evaluated, the operation and maintenance times are generated according to the replacement time of the MBR membrane of each membrane bioreactor in the scheduling scheme, specifically, a clustering mode is adopted, the MBR membrane replacement time is used for clustering to generate the operation and maintenance times, the final grade is generated according to the operation and maintenance times, the less the operation and maintenance times, the higher the grade, the more the operation and maintenance times, and the lower the grade.
The foregoing are merely exemplary embodiments of the present invention, and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A intelligent management system for sewage treatment, its characterized in that: the system comprises a data acquisition module, a sewage treatment module, a regulation and control module and a cloud server, wherein the data acquisition module, the sewage treatment module, the regulation and control module and the control module are positioned at each sewage treatment point; the data acquisition module, the sewage treatment module and the regulation and control module are in communication connection with the control module;
the sewage treatment module comprises a membrane bioreactor in a sewage treatment link;
the regulation and control module is used for regulating and controlling the membrane bioreactor of each sewage treatment point;
the data acquisition module is used for acquiring MBR membrane pollution information in each membrane bioreactor in real time and sending the MBR membrane pollution information to the control module;
the control module is used for sending the received MBR membrane pollution information to the cloud server;
the cloud server includes: the sewage identification module is used for identifying a sewage treatment point corresponding to the MBR membrane pollution information when the MBR membrane pollution information is received;
the database is used for storing the total information and the control model of the membrane bioreactor of each sewage treatment point, and the total information of the membrane bioreactor comprises the transmembrane pressure difference and the flux of an MBR membrane;
the model establishing module is used for establishing a control model of the membrane bioreactor according to the historical membrane bioreactor transmembrane pressure and membrane flux information of a certain sewage treatment point, and the control model corresponds to each sewage treatment point one by one;
the model matching module is used for selecting a control model corresponding to a certain sewage treatment point from a database according to the currently received MBR membrane pollution information, transmitting the information of the control model to the control module corresponding to the sewage treatment point, and controlling the regulation and control module to regulate and control the membrane bioreactor according to the transmitted information by the control module;
the membrane bioreactor comprises a membrane bioreactor position scheduling module, a membrane pollution prediction module, a position regulating quantity generation module, a scheduling scheme generation module, a replacement time prediction module and a replacement time unified scheduling module, wherein the scheduling scheme generation module is used for generating a membrane bioreactor position scheduling scheme; the membrane pollution prediction module adopts an artificial intelligence-based membrane pollution prediction model to predict the pollution condition of the membrane bioreactor of each sewage treatment node under each scheduling scheme; the change time prediction module is used for judging the change time of the MBR membrane of each membrane bioreactor under each scheduling scheme according to the prediction result of the membrane pollution prediction module, and the change time unified scheduling module is used for grading each scheduling scheme according to the prediction result of the change time prediction module, selecting the scheduling scheme with the highest grade as a target scheme, and generating the corresponding bioreactor position regulating quantity according to the target scheme.
2. The intelligent management system for wastewater treatment of claim 1, wherein: the sewage treatment module also comprises a grating well and a regulating tank; the grating well is used for removing sediments; the adjusting tank is used for adjusting the water quantity and the water quality.
3. The intelligent management system for sewage treatment of claim 2, wherein: the data acquisition module also comprises a water yield acquisition module for acquiring the water yield of each sewage treatment point.
4. The intelligent management system for wastewater treatment of claim 3, wherein: the model establishing module is used for establishing a control model of the membrane bioreactor according to historical water outlet information of a certain sewage treatment point.
5. The intelligent management system for wastewater treatment of claim 4, wherein: the model matching module is also used for selecting a control model corresponding to a certain sewage treatment point from the database according to the currently received effluent information.
6. The intelligent management system for wastewater treatment of claim 5, wherein: the database also stores expert experience data corresponding to MBR membrane pollution information; and the model matching module is also used for selecting corresponding expert experience data according to the currently received MBR membrane pollution information when a certain control model cannot be matched, and if the corresponding expert experience data is selected, sending the expert experience data to the control module corresponding to the MBR membrane pollution information.
7. The intelligent management system for wastewater treatment of claim 6, wherein: the cloud server also comprises an alarm module, and the alarm module is used for sending alarm information to the control module when the MBR membrane pollution information exceeds the normal range value.
8. The intelligent management method for sewage treatment is characterized by comprising the following steps: an intelligent management system for sewage treatment according to any one of claims 1 to 7 is used.
9. The intelligent management method for sewage treatment according to claim 8, wherein: the method comprises the following steps:
a sewage treatment step: the membrane bioreactor is used for treating sewage;
regulating and controlling: regulating and controlling the membrane bioreactor of each sewage treatment point;
a data acquisition step: collecting MBR membrane pollution information in each membrane bioreactor in real time and sending the MBR membrane pollution information to a control module;
the control step is as follows: and sending the received MBR membrane pollution information to a cloud server.
10. The intelligent management method for sewage treatment according to claim 9, wherein: further comprising:
a sewage identification step: identifying a sewage treatment point corresponding to MBR membrane pollution information when the information is received;
a database establishing step: storing the total information and control model of the membrane bioreactor of each sewage treatment point, wherein the total information of the membrane bioreactor comprises the transmembrane pressure difference and the transmembrane flux of an MBR (membrane bioreactor);
a model establishing step: establishing a control model of the membrane bioreactor according to historical MBR membrane transmembrane pressure difference and membrane flux information of a certain sewage treatment point, wherein the control model corresponds to each sewage treatment point one by one;
model matching: selecting a control model corresponding to a certain sewage treatment point from a database according to the currently received MBR membrane pollution information, transmitting the information of the control model to a control module corresponding to the sewage treatment point, and controlling a regulation and control module by the control module according to the transmitted information.
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