CN110988290A - Underwater monitoring system applied to sewage treatment - Google Patents

Underwater monitoring system applied to sewage treatment Download PDF

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Publication number
CN110988290A
CN110988290A CN201911339008.XA CN201911339008A CN110988290A CN 110988290 A CN110988290 A CN 110988290A CN 201911339008 A CN201911339008 A CN 201911339008A CN 110988290 A CN110988290 A CN 110988290A
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module
water quality
data
data storage
layer thickness
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CN110988290B (en
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吴佳
沈彦
周一军
吴坚
钱刚
云涛
陈会娟
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Shanghai Xipai Intelligent System Co ltd
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Shanghai Xipai Intelligent System Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18Water
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/02Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/06Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/05Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
    • G05B19/058Safety, monitoring
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/10Plc systems
    • G05B2219/16Plc to applications
    • G05B2219/163Domotique, domestic, home control, automation, smart, intelligent house

Abstract

The invention discloses an underwater monitoring system applied to sewage treatment, which comprises: the system comprises a human-computer interaction module, an acquisition device, a communication module, a data storage module and an analysis module; the acquisition device is used for acquiring image data and water quality data of the pool of the sewage plant and sending the image data and the water quality data to the communication module; the communication module transmits the image data and the water quality data to the man-machine interaction module for display, and simultaneously transmits the image data and the water quality data to the data storage module for storage; the analysis module calls the image data and the water quality data stored by the data storage module, generates mud layer thickness and water quality detection results according to the image data and the water quality data, transmits the mud layer thickness and water quality detection results to the man-machine interaction module for display, and stores the mud layer thickness and water quality detection results into the data storage module. The underwater monitoring system realizes full-automatic mud layer thickness measurement and water quality measurement, enables detection information to be more comprehensive, and facilitates judgment and analysis of workers, thereby effectively ensuring the integral effluent quality.

Description

Underwater monitoring system applied to sewage treatment
Technical Field
The invention relates to the technical field of monitoring and analysis of sewage plants, in particular to an underwater monitoring system applied to sewage treatment.
Background
The secondary sedimentation tank of the sewage plant is an important component of the sewage treatment system by the activated sludge process, the working effect of the secondary sedimentation tank can directly influence the effluent quality of sewage treatment, and the secondary sedimentation tank plays a decisive role in ensuring the qualified content of suspended matters in the effluent quality. In the sewage treatment process, a large amount of sludge is often easily accumulated at the bottom of a water tank of a sewage plant to influence the effluent quality, and in the actual use process, the sludge thickness and the water quality condition need to be monitored frequently, and the process operation needs to be adjusted in time, so that the effluent quality is guaranteed. At present, sludge blanket thickness detection is mostly realized by a sludge interface instrument or a sludge concentration meter, sludge information can not be directly observed on the actual condition of an underwater sludge blanket and the condition of sludge form, so that the detection information is incomplete, and the effluent quality is influenced.
Disclosure of Invention
The invention aims to provide an underwater monitoring system applied to sewage treatment, and aims to solve the problems that the existing mud layer thickness detection method cannot directly observe the underwater sludge form condition, so that the detection information is incomplete, and the effluent quality is influenced.
In order to achieve the purpose, the invention provides the following scheme:
an underwater monitoring system for sewage treatment, comprising: the system comprises a human-computer interaction module, an acquisition device, a communication module, a data storage module and an analysis module; the human-computer interaction module is respectively connected with the communication module, the data storage module and the analysis module; the acquisition device, the communication module, the data storage module and the analysis module are sequentially connected;
the acquisition device is used for acquiring image data and water quality data of a pool of a sewage plant and sending the image data and the water quality data to the communication module;
the communication module is used for transmitting the image data and the water quality data to the man-machine interaction module for display and simultaneously transmitting the image data and the water quality data to the data storage module for storage;
the analysis module is used for calling the image data and the water quality data stored by the data storage module, respectively generating a mud layer thickness and a water quality detection result according to the image data and the water quality data, transmitting the mud layer thickness and the water quality detection result to the human-computer interaction module for displaying, and storing the mud layer thickness and the water quality detection result in the data storage module.
Optionally, the collecting device includes: the device comprises a PLC control module, a lifting mechanism and a handle; the PLC control module is respectively connected with the handle and the lifting mechanism; the PLC control module is used for controlling the lifting mechanism to lift according to the signal of the handle.
Optionally, the lifting mechanism comprises: the device comprises a winch, a rotatable camera, a light source and a water quality detection instrument; the winch is respectively connected with the rotatable camera and the water quality detection instrument through cables; the light source is arranged right in front of the rotatable camera; the PLC control module controls the lifting speed of the cable of the winch according to the signal of the handle; the cable of the winch drives the rotatable camera and the water quality detection instrument to lift; the rotatable camera is used for collecting the image data; the water quality detecting instrument is used for collecting the water quality data.
Optionally, the analysis module includes a mud-water interface training module; the muddy water interface training module is used for calling the image data stored by the data storage module, training according to the image data to obtain a muddy water boundary model, and storing the muddy water boundary model into the data storage module.
Optionally, the analysis module further includes a mud-water interface recognition module; the muddy water interface identification module is used for calling the muddy water boundary model, identifying a muddy water interface by adopting the muddy water boundary model according to the current image data transmitted by the communication module in real time, generating a muddy water interface identification result and transmitting the muddy water interface identification result to the PLC control module; and when the muddy water interface recognition result is that the muddy water interface is recognized, the PLC control module controls the collecting device to stop descending.
Optionally, the human-computer interaction module includes a parameter setting unit; the parameter setting unit is used for setting the operation parameters of the acquisition device and sending the operation parameters to the PLC control module; the operation parameters comprise the lifting speed and the operation frequency of the acquisition device.
Optionally, the analysis module further includes a mud layer thickness calculation module and a cable length calculation module;
the parameter setting unit sends the lifting speed to the cable length calculating module;
the cable length calculating module is used for calculating the length of the cable according to the lifting speed and sending the length of the cable to the mud layer thickness calculating module;
and the mud layer thickness calculating module calculates the mud layer thickness according to the length of the cable and the height of the sewage plant pool and sends the mud layer thickness to the man-machine interaction module for displaying.
Optionally, the analysis module further comprises a water quality detection module; the water quality detection module is used for calling the water quality data stored by the data storage module, generating a water quality detection result according to the water quality data and respectively sending the water quality detection result to the man-machine interaction module and the data storage module.
Optionally, the human-computer interaction module further comprises a water quality parameter query display unit, a historical mud layer thickness query display unit and a mud-water interface historical image query display unit;
the water quality parameter query display unit is used for calling and displaying the water quality detection result stored in the data storage module;
the historical mud layer thickness query display unit is used for calling and displaying the historical mud layer thickness stored in the data storage module;
and the muddy water interface historical image query and display unit is used for calling and displaying the muddy water interface historical image stored in the data storage module.
Optionally, the communication module is a WIFI wireless module or a 4G module; and the WIFI wireless module or the 4G module is matched with a USB or an Ethernet as a communication port.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses an underwater monitoring system applied to sewage treatment, which comprises: the system comprises a human-computer interaction module, an acquisition device, a communication module, a data storage module and an analysis module; the acquisition device is used for acquiring image data and water quality data of a pool of a sewage plant and sending the image data and the water quality data to the communication module; the communication module is used for transmitting the image data and the water quality data to the man-machine interaction module for display and simultaneously transmitting the image data and the water quality data to the data storage module for storage; the analysis module is used for calling the image data and the water quality data stored by the data storage module, respectively generating a mud layer thickness and a water quality detection result according to the image data and the water quality data, transmitting the mud layer thickness and the water quality detection result to the human-computer interaction module for displaying, and storing the mud layer thickness and the water quality detection result in the data storage module. The underwater monitoring system realizes full-automatic mud layer thickness measurement and water quality measurement, can observe and record the underwater condition of the pool of the sewage plant in real time, enables detection information to be more comprehensive, facilitates judgment and analysis of workers, and effectively ensures the integral effluent water quality.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic view of an underwater monitoring system for sewage treatment according to the present invention;
FIG. 2 is a schematic structural diagram of a collecting device according to the present invention;
FIG. 3 is a schematic structural diagram of a data storage module according to the present invention;
FIG. 4 is a schematic structural diagram of an analysis module provided in the present invention;
fig. 5 is a schematic structural diagram of a human-computer interaction module provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide an underwater monitoring system applied to sewage treatment, and aims to solve the problems that the existing mud layer thickness detection method cannot directly observe the underwater sludge form condition, so that the detection information is incomplete, and the effluent quality is influenced.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a schematic structural diagram of an underwater monitoring system applied to sewage treatment provided by the invention. As shown in fig. 1, the underwater monitoring system for sewage treatment according to the present invention includes: the system comprises a collection device 101, a communication module 102, a data storage module 103, an analysis module 104 and a human-computer interaction module 105. The acquisition device 101 is used for acquiring underwater image data and water quality data, transmitting the underwater image data and the water quality data to the man-machine interaction module 105 through the communication module 102 for display, and storing the acquired data into the data storage module 103. The analysis module 104 invokes the image data in the data storage module 103 to analyze and calculate to generate a calculation result, and transmits the calculation result to the human-computer interaction module 105 for display.
Specifically, as shown in fig. 1, the human-computer interaction module 105 is connected to the communication module 102, the data storage module 103, and the analysis module 104 respectively; the acquisition device 101, the communication module 102, the data storage module 103 and the analysis module 104 are connected in sequence.
The acquisition device 101 is used for acquiring image data and water quality data of a pool of a sewage plant and sending the image data and the water quality data to the communication module 102.
The communication module 102 is configured to transmit the image data and the water quality data to the human-computer interaction module 105 for display, and transmit the image data and the water quality data to the data storage module 103 for storage.
The analysis module 104 is configured to call the image data and the water quality data stored in the data storage module 103, generate a mud layer thickness and a water quality detection result according to the image data and the water quality data, transmit the mud layer thickness and the water quality detection result to the human-computer interaction module 105 for display, and store the mud layer thickness and the water quality detection result in the data storage module 103.
Fig. 2 is a schematic structural diagram of the collecting device provided by the present invention. As shown in fig. 2, the acquisition device 101 includes: handle 201, PLC control module 202 and lifting mechanism 207. The PLC control module 202 is connected to the handle 201 and the lifting mechanism 207, respectively. The PLC control module is used for controlling the lifting mechanism 207 to lift according to the signal of the handle 201.
Specifically, the lifting mechanism 207 includes: the system comprises a winch 203, a rotatable camera 204, a light source 205 and a water quality detection meter 206. The winch 203 is connected with the rotatable camera 204 and the water quality detecting instrument 206 through cables. The light source 205 is disposed directly in front of the rotatable camera 204. The PLC control module 202 controls the lifting speed of the rope of the winding machine 203 according to the signal of the handle 201. The cable of the winch 203 drives the rotatable camera 204 and the water quality detecting instrument 206 to lift. The rotatable camera 204 is a 180 ° rotatable camera for acquiring the image data. The water quality meter 206 is used for collecting the water quality data.
The lifting of the lifting mechanism is controlled by field personnel through the handle 201 and the PLC control module 202, the rotatable camera 204 and the light source 205 are connected with the lifting mechanism 203, the rotatable camera 204 is installed at the bottom of the telescopic aluminum pipe, and the light source 205 is located right in front of the camera 204 to polish a mud layer.
The working principle of the lifting mechanism 207 is as follows: when the thickness of the mud layer needs to be detected, the winch 203 pays off the cable, and the cable pulls the rotatable camera 204 to slowly descend. When the thickness of the mud layer is measured, a mud-water interface of an image is identified by using a mud-water interface model, and when the image shot by the rotatable camera 204 is the mud-water interface, the PLC control module 202 controls the winch 203 to stop working. When underwater state observation is carried out, the handle 201 can be used for adjusting the rotatable camera 204 to a specified height according to conditions, so that the winch 203 stops working, the rotatable camera 204 is used for shooting, and the shot image data of the underwater mud layer and the water quality data detected by the water quality detection instrument 206 are accessed to the PLC control module 202 through a communication cable for collection. The collected data is transmitted to the data storage module 103 via the communication module 102.
Fig. 3 is a schematic structural diagram of a data storage module provided in the present invention. As shown in fig. 3, the data storage module 103 includes a muddy water boundary model storage unit 301, an image data storage unit 302, and a meter data storage unit 303. The acquisition device 101 transmits the acquired image data and water quality data to an image data storage unit 302 and an instrument data storage unit 303 in the data storage module 103 for storage through a communication module 102. The image data storage unit 302 transmits the image data of the muddy water boundary sample to a muddy water interface training module 401 in the real-time analysis module 104, trains the muddy water interface training module through a machine learning algorithm, obtains a muddy water boundary model, and stores the muddy water boundary model into the muddy water boundary model storage unit 301 of the data storage module 103.
Fig. 4 is a schematic structural diagram of an analysis module provided in the present invention. As shown in fig. 4, the analysis module 104 includes a mud-water interface training module 401, a mud-water interface recognition module 402, a cable length calculation module, and a mud layer thickness calculation module 403. The mud-water interface training module 401 is configured to call the image data stored in the data storage module 103, train according to the image data to obtain a mud-water boundary model, and store the mud-water boundary model in the data storage module 103.
The mud-water interface identification module 402 is configured to call the mud-water boundary model, identify a mud-water interface by using the mud-water boundary model 301 according to the current image data transmitted by the communication module 102 in real time, generate a mud-water interface identification result, and send the mud-water interface identification result to the PLC control module 202. When the muddy water interface recognition result is that the muddy water interface is recognized, the PLC control module 202 controls the collecting device 101 to stop descending.
The parameter setting unit 501 of the human-computer interaction module 105 sends the lifting speed of the cable to the cable length calculation module; the PLC control module 202 sends the collected cable lifting time length to the cable length calculation module. The cable length calculating module is configured to calculate a cable length by multiplying the lifting speed by the lifting duration, and send the cable length to the mud layer thickness calculating module 403.
The mud layer thickness calculating module 403 calculates the mud layer thickness according to the cable length and the height of the sewage plant pool and sends the mud layer thickness to the human-computer interaction module 105 for display. The thickness of the mud layer is the difference between the height of the sewage plant pool and the length of the mooring rope.
The analysis module 104 further comprises a water quality detection module; the water quality detection module is used for calling the water quality data stored in the data storage module 103, generating a water quality detection result according to the water quality data and respectively sending the water quality detection result to the human-computer interaction module 105 and the data storage module 103.
According to the invention, the image data obtained by the acquisition device 101 is transmitted to the mud-water interface identification module 402 through the communication module 102, the mud-water interface identification module 402 calls a mud-water boundary model in the data storage module 103 to judge, and if the image is judged to be a mud-water interface, the lifting mechanism 207 is automatically stopped to descend, and the thickness of the mud layer is calculated in the next step. The lifting speed of the winch cable and the height information of the water pool are obtained according to the parameter setting unit 501 in the man-machine interaction module 105, the length of the cable is calculated by combining the lifting time length collected by the PLC control module 202, and therefore the thickness of the mud layer is calculated and displayed in the man-machine interaction module 105.
Fig. 5 is a schematic structural diagram of a human-computer interaction module provided by the present invention. As shown in fig. 5, the human-computer interaction module 105 includes a parameter setting unit 501, an underwater environment observation display unit 502, a water quality parameter query display unit 503, a historical mud layer thickness query display unit 504, a mud-water interface historical image query display unit 505, a mud-water interface display unit 506, and a mud layer thickness calculation display unit 507.
The parameter setting unit 501 is configured to set an operation parameter of the acquisition device 101 and send the operation parameter to the PLC control module 202; the operation parameters include the lifting speed and the operation frequency of the acquisition device 101. The water quality parameter query display unit 503 is configured to invoke and display the water quality detection result stored in the data storage module 103; the historical mud layer thickness query display unit 504 is configured to call and display the historical mud layer thickness stored in the data storage module 103; and the muddy water interface history image query and display unit 505 is configured to call and display the muddy water interface history image stored in the data storage module 103.
After being collected by the collection device 101, the sewage plant pool data is transmitted to the data storage module 103 through the communication module 102, and meanwhile, the collected image data is transmitted to the underwater environment observation display unit 502 in the man-machine interaction module 105 through the communication module 102 for dynamic display. Through the parameter setting unit 501 in the human-computer interaction module 105, the lifting speed of the lifting mechanism 207 is adjusted to configure the height of the water pool, so that the device is suitable for different application scenes. The parameter setting unit 501 of the human-computer interaction module 105 can also set the automatic operation frequency of the system, so as to realize the fixed-frequency full-automatic measurement and recording of the system. Through the handle 201 in the acquisition device 101, a field person can control the lifting mechanism 207 on site, change the underwater relative height of the rotatable camera 204, and observe the underwater condition. The water quality parameter query display unit 503, the historical mud layer thickness query display 504 and the mud-water interface historical image query display 505 in the human-computer interaction module 105 realize the water quality data query display function, the historical mud layer thickness query display function and the mud-water interface historical image query display function by calling instrument data and image data in the data storage module 103. The analysis module 104 transmits the calculation result to the muddy water interface display unit 506 and the mud layer thickness calculation display unit 507 in the human-computer interaction module 105 to perform muddy water interface display and mud layer thickness calculation display. The communication module 102 may be optionally equipped with a USB, an ethernet, a WIFI wireless module and 4G, and is configured to transmit the acquired image data and the acquired water quality data to the human-computer interaction module 105 for dynamic display, and store the data in the data storage module 103 for the analysis module 104 to call. The 4G remote transmission technology can upload data to a centralized control platform and a cloud platform for technical staff to analyze.
The underwater monitoring system applied to sewage treatment disclosed by the invention can be controlled in a remote automatic mode and a local manual mode, the mud-water boundary position is automatically positioned by using a machine vision technology, the automatic measurement of the thickness of an underwater mud layer is realized, and the water quality monitoring is realized by using a water quality instrument; the method comprises the steps of utilizing a 180-degree rotatable camera 204 to realize underwater condition environment observation and image video recording, transmitting acquired image data and acquired water quality data to the data storage module 103 through the communication module 102 for storage, dynamically displaying the data in the man-machine interaction module 105, and uploading the data to a centralized control center and a cloud platform through a 4G remote transmission technology for technical staff to analyze, so that normal operation of the process is guaranteed. Aiming at the problems that the actual condition of an underwater mud layer and the condition of the sludge form cannot be observed due to the fact that the thickness of the existing mud layer is mostly detected through a sludge interface instrument or a sludge concentration meter, the invention provides an underwater monitoring system applied to sewage treatment, which can realize full-automatic mud layer thickness measurement and water quality measurement, can observe and record the underwater condition of a water pool of a sewage plant in real time, and can remotely analyze data through a 4G network, thereby effectively ensuring the water quality of the whole effluent of the water pool of the sewage plant.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (10)

1. An underwater monitoring system for sewage treatment, comprising: the system comprises a human-computer interaction module, an acquisition device, a communication module, a data storage module and an analysis module; the human-computer interaction module is respectively connected with the communication module, the data storage module and the analysis module; the acquisition device, the communication module, the data storage module and the analysis module are sequentially connected;
the acquisition device is used for acquiring image data and water quality data of a pool of a sewage plant and sending the image data and the water quality data to the communication module;
the communication module is used for transmitting the image data and the water quality data to the man-machine interaction module for display and simultaneously transmitting the image data and the water quality data to the data storage module for storage;
the analysis module is used for calling the image data and the water quality data stored by the data storage module, respectively generating a mud layer thickness and a water quality detection result according to the image data and the water quality data, transmitting the mud layer thickness and the water quality detection result to the human-computer interaction module for displaying, and storing the mud layer thickness and the water quality detection result in the data storage module.
2. The underwater monitoring system for sewage treatment of claim 1, wherein the collecting device comprises: the device comprises a PLC control module, a lifting mechanism and a handle; the PLC control module is respectively connected with the handle and the lifting mechanism; the PLC control module is used for controlling the lifting mechanism to lift according to the signal of the handle.
3. The underwater monitoring system for sewage treatment of claim 2, wherein the lifting mechanism comprises: the device comprises a winch, a rotatable camera, a light source and a water quality detection instrument; the winch is respectively connected with the rotatable camera and the water quality detection instrument through cables; the light source is arranged right in front of the rotatable camera; the PLC control module controls the lifting speed of the cable of the winch according to the signal of the handle; the cable of the winch drives the rotatable camera and the water quality detection instrument to lift; the rotatable camera is used for collecting the image data; the water quality detecting instrument is used for collecting the water quality data.
4. The underwater monitoring system for sewage treatment of claim 3, wherein the analysis module includes a mud-water interface training module; the muddy water interface training module is used for calling the image data stored by the data storage module, training according to the image data to obtain a muddy water boundary model, and storing the muddy water boundary model into the data storage module.
5. The underwater monitoring system for sewage treatment of claim 4, wherein the analysis module further comprises a mud-water interface recognition module; the muddy water interface identification module is used for calling the muddy water boundary model, identifying a muddy water interface by adopting the muddy water boundary model according to the current image data transmitted by the communication module in real time, generating a muddy water interface identification result and transmitting the muddy water interface identification result to the PLC control module; and when the muddy water interface recognition result is that the muddy water interface is recognized, the PLC control module controls the collecting device to stop descending.
6. Underwater monitoring system for sewage treatment according to claim 5, whereinThe human-computer interaction module comprises a parameter setting unit; the parameter setting unit is used for setting the operation parameters of the acquisition device and sending the operation parameters to the PLC control module; the operation parameters comprise the lifting speed and the operation frequency of the acquisition device.
7. The underwater monitoring system for sewage treatment of claim 6, wherein the analysis module further comprises a mud layer thickness calculation module and a cable length calculation module;
the parameter setting unit sends the lifting speed to the cable length calculating module;
the cable length calculating module is used for calculating the length of the cable according to the lifting speed and sending the length of the cable to the mud layer thickness calculating module;
and the mud layer thickness calculating module calculates the mud layer thickness according to the length of the cable and the height of the sewage plant pool and sends the mud layer thickness to the man-machine interaction module for displaying.
8. The underwater monitoring system for sewage treatment of claim 1, wherein the analysis module further comprises a water quality detection module; the water quality detection module is used for calling the water quality data stored by the data storage module, generating a water quality detection result according to the water quality data and respectively sending the water quality detection result to the man-machine interaction module and the data storage module.
9. Underwater monitoring system for sewage treatment according to claim 1, whereinThe man-machine interaction module also comprises a water quality parameter query display unit, a historical mud layer thickness query display unit and a mud-water interface historical image query display unit;
the water quality parameter query display unit is used for calling and displaying the water quality detection result stored in the data storage module;
the historical mud layer thickness query display unit is used for calling and displaying the historical mud layer thickness stored in the data storage module;
and the muddy water interface historical image query and display unit is used for calling and displaying the muddy water interface historical image stored in the data storage module.
10. The underwater monitoring system applied to sewage treatment of claim 1, wherein the communication module is a WIFI wireless module or a 4G module; and the WIFI wireless module or the 4G module is matched with a USB or an Ethernet as a communication port.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111650909A (en) * 2020-06-04 2020-09-11 江西康乾环保科技有限公司 Intelligent control system and method for sewage treatment process, readable storage medium and device
CN112833937A (en) * 2021-01-16 2021-05-25 西安热工研究院有限公司 Acid metering box capable of preventing acid sludge from being blocked
CN115385432A (en) * 2022-09-19 2022-11-25 上海西派埃智能化系统有限公司 Method and system for removing phosphorus from sewage

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2092095U (en) * 1991-03-06 1992-01-01 北京燕山石油化工公司污水净化厂 Portable sewage sampler
CN101777084A (en) * 2009-11-27 2010-07-14 同济大学 Optimization design method of sewage treatment plant A2/O process
CN102305944A (en) * 2011-07-28 2012-01-04 李典基 Underwater sedimentation amount detecting analysis processing system
CN102938067A (en) * 2012-11-16 2013-02-20 上海工业自动化仪表研究院 Method for recognizing water outlet channel bulk sludge in sewage treatment process
CN106240774A (en) * 2016-06-21 2016-12-21 北京臻迪机器人有限公司 A kind of unmanned boat and system
CN107504936A (en) * 2017-09-25 2017-12-22 江苏省水利科学研究院 Mud detecting system and mud detection method
CN206945355U (en) * 2017-01-24 2018-01-30 英普(北京)环境科技有限公司 Monitor the rapid assay device of sewage treatment plant's running status
CN207215069U (en) * 2017-10-17 2018-04-10 中国计量大学 A kind of surveying on sludge thickness instrument
CN107917687A (en) * 2017-12-05 2018-04-17 中国计量大学 A kind of silt depth intelligent device for measuring
US20180201846A1 (en) * 2015-07-06 2018-07-19 Jiangsu Golden Gate Energy & Equipment Co., Ltd Electric desalting and dehydration apparatus
CN109905644A (en) * 2017-12-08 2019-06-18 孟思宏 A kind of sewage treatment plant's monitor video intellectual analysis early warning platform

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2092095U (en) * 1991-03-06 1992-01-01 北京燕山石油化工公司污水净化厂 Portable sewage sampler
CN101777084A (en) * 2009-11-27 2010-07-14 同济大学 Optimization design method of sewage treatment plant A2/O process
CN102305944A (en) * 2011-07-28 2012-01-04 李典基 Underwater sedimentation amount detecting analysis processing system
CN102938067A (en) * 2012-11-16 2013-02-20 上海工业自动化仪表研究院 Method for recognizing water outlet channel bulk sludge in sewage treatment process
US20180201846A1 (en) * 2015-07-06 2018-07-19 Jiangsu Golden Gate Energy & Equipment Co., Ltd Electric desalting and dehydration apparatus
CN106240774A (en) * 2016-06-21 2016-12-21 北京臻迪机器人有限公司 A kind of unmanned boat and system
CN206945355U (en) * 2017-01-24 2018-01-30 英普(北京)环境科技有限公司 Monitor the rapid assay device of sewage treatment plant's running status
CN107504936A (en) * 2017-09-25 2017-12-22 江苏省水利科学研究院 Mud detecting system and mud detection method
CN207215069U (en) * 2017-10-17 2018-04-10 中国计量大学 A kind of surveying on sludge thickness instrument
CN107917687A (en) * 2017-12-05 2018-04-17 中国计量大学 A kind of silt depth intelligent device for measuring
CN109905644A (en) * 2017-12-08 2019-06-18 孟思宏 A kind of sewage treatment plant's monitor video intellectual analysis early warning platform

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111650909A (en) * 2020-06-04 2020-09-11 江西康乾环保科技有限公司 Intelligent control system and method for sewage treatment process, readable storage medium and device
CN112833937A (en) * 2021-01-16 2021-05-25 西安热工研究院有限公司 Acid metering box capable of preventing acid sludge from being blocked
CN115385432A (en) * 2022-09-19 2022-11-25 上海西派埃智能化系统有限公司 Method and system for removing phosphorus from sewage

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