CN204440747U - A kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching - Google Patents
A kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching Download PDFInfo
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- CN204440747U CN204440747U CN201520044934.5U CN201520044934U CN204440747U CN 204440747 U CN204440747 U CN 204440747U CN 201520044934 U CN201520044934 U CN 201520044934U CN 204440747 U CN204440747 U CN 204440747U
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Abstract
A kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching, relate to instruments used for education, described device comprises control box and is positioned at the control circuit of control box, experimental operation table, guidance panel, PC, keyboard, wastewater treatment model and be positioned at the sensor group of model; Control circuit in control box comprises: PLC, CPU, power module, Analog input mModule, digital quantity input module, digital output module; Sensor group comprises: flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor.This device can carry out data acquisition, data prediction, founding mathematical models, Intelligent Measurement and error analysis to sewage disposal process parameter, enables student understand and grasp method and the practical application of Intelligent Measurement better.
Description
Technical field
The utility model relates to a kind of instruments used for education, particularly relates to a kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching.
Background technology
Intelligent Measurement course is the elective special course that most of colleges and universities information specialty is offered.This course mainly lectures the various detection method of common engineering parameter, the Principle and application of detecting instrument.Because this Curriculum Practice is comparatively strong, only classroom is carried out the instruction of Theory Course, also far can not reach the teaching efficiency of expection, therefore need to increase some experimental teaching content.But at present, also there is no the experimental teaching unit of more suitable Wastewater Treatment Parameters Intelligent Measurement for teacher's experimental teaching.Therefore, develop a kind of Wastewater Treatment Parameters intelligent detection device that can meet experimental teaching, will greatly improve the teaching efficiency of this subject.
Summary of the invention
The purpose of this utility model is to provide a kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching, this device can carry out data acquisition, data prediction, founding mathematical models, Intelligent Measurement and error analysis to sewage disposal process parameter, enables student understand and grasp method and the practical application of Intelligent Measurement better.
The purpose of this utility model is achieved through the following technical solutions:
A kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching, comprise: control box and be positioned at the control circuit of control box, experimental operation table, guidance panel, PC(personal computer) machine, keyboard, wastewater treatment model and be positioned at the sensor group of model.Control circuit in described control box comprises: PLC(programmable logic controller (PLC)) CPU(central processing unit) 312 modules, power module, Analog input mModule, digital quantity input module, digital output module.Described sensor group comprises: flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor.Guidance panel is equipped with: power light, abnormal parameters alarm lamp, communication failure alarm lamp, flow of inlet water sensor signal input terminal, dissolved oxygen sensor signal input terminal, mixed liquor sludge concentration sensor signal input terminal, solid suspension sensor signal input terminal, pH sensor signal input terminal, influent turbidity sensor signal input terminal, oxidation-reduction potential sensor signal input terminal, ammonia nitrogen sensor signal input terminal, start button, data acquisition button, error analysis button, intelligent measure button, model imports button, modeling button, data prediction button, derived data button, stop key.Guidance panel, PC, keyboard are all positioned on experimental operation table, and control box is positioned at the below of experimental operation table.
Described flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor respectively by signal wire through signal cable and described flow of inlet water sensor signal input terminal, dissolved oxygen sensor signal input terminal, mixed liquor sludge concentration sensor signal input terminal, solid suspension sensor signal input terminal, pH sensor signal input terminal, influent turbidity sensor signal input terminal, oxidation-reduction potential sensor signal input terminal, ammonia nitrogen sensor signal input terminal is connected, described flow of inlet water sensor signal input terminal, dissolved oxygen sensor signal input terminal, mixed liquor sludge concentration sensor signal input terminal, solid suspension sensor signal input terminal, pH sensor signal input terminal, influent turbidity sensor signal input terminal, oxidation-reduction potential sensor signal input terminal, ammonia nitrogen sensor signal input terminal are connected with Analog input mModule respectively by signal wire, described startup button, data acquisition button, error analysis button, intelligent measure button, model import button, modeling button, data prediction button, derived data button, stopping key is connected with digital quantity input module respectively by signal wire, described digital output module is connected with power light, abnormal parameters alarm lamp, communication failure alarm lamp respectively by signal wire, described Analog input mModule, digital quantity input module, digital output module are connected with PLC CPU312 module respectively by bus, described power module is connected with PLC CPU312 module by power lead.Described PC is connected with PLC CPU312 module by bus; Described keyboard is connected with PC by signal wire.
Principle of work of the present utility model is as follows:
First by flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor is respectively by signal wire and flow of inlet water sensor signal input terminal, dissolved oxygen sensor signal input terminal, mixed liquor sludge concentration sensor signal input terminal, solid suspension sensor signal input terminal, pH sensor signal input terminal, influent turbidity sensor signal input terminal, oxidation-reduction potential sensor signal input terminal, ammonia nitrogen sensor signal input terminal correspondence connects.Then switch on power, now power light is lighted.Press startup button, now, this device enters duty.Press data acquisition button, now, this device enters data acquisition state.Flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor is respectively by the flow of inlet water signal of detected wastewater treatment model, dissolved oxygen DO signal, mixed liquor sludge concentration signal, solid suspension signal, pH value signal, influent turbidity signal, oxidation-reduction potential signal, ammonia nitrogen signal is sent into Analog input mModule through signal wire and is carried out analog to digital conversion, the flow of inlet water digital quantity signal obtained after analog to digital conversion, dissolved oxygen DO digital quantity signal, mixed liquor sludge concentration digital quantity signal, solid suspension digital quantity signal, pH value digital quantity signal, influent turbidity digital quantity signal, oxidation-reduction potential digital quantity signal, ammonia nitrogen digital quantity signal send PLC CPU312 module to carry out calculation process, obtains flow of inlet water data, dissolved oxygen DO data, mixed liquor sludge concentration data, solid suspension data, pH value data, influent turbidity data, oxidation-reduction potential data, ammonia nitrogen data are also temporary in PLC CPU312 module.Press data prediction button, then respectively data prediction is carried out to gathered flow of inlet water data, dissolved oxygen DO data, mixed liquor sludge concentration data, solid suspension data, pH value data, influent turbidity data, oxidation-reduction potential data, ammonia nitrogen data, obtain the one group of sample data meeting modeling demand.Press derived data button, then import pretreated flow of inlet water data, dissolved oxygen DO data, mixed liquor sludge concentration data, solid suspension data, pH value data, influent turbidity data, oxidation-reduction potential data, ammonia nitrogen data into PC through bus.After derived data reaches 60 groups, press modeling button, then in PC, complete the establishment of mathematical model structure and the calculating of model parameter by student.After mathematical model has been built, import button by drag, then built mathematical model structure and parameter can have been imported to PLC CPU312 module.After mathematical model has imported, press intelligent measure button, this device enters intelligent measure state.Now, this device starts flow of inlet water data, dissolved oxygen DO data, mixed liquor sludge concentration data, solid suspension data, pH value data, influent turbidity data, oxidation-reduction potential data, the ammonia nitrogen data of Real-time Collection wastewater treatment model, and with these data for input, corresponding water outlet chemical oxygen demand (COD) (COD) is gone out by the new calculated with mathematical model imported, water outlet biochemical oxygen demand (BOD), water outlet total nitrogen (TN), water outlet total phosphorus (TP).And calculated data are exported to PC automatically.Press error analysis button, this device can carry out error calculation to set up mathematical model, and result of calculation is exported to PC automatically, carries out error analysis for student.This device is in intelligent measure state or under data acquisition state, if when the data collected exceed the data area preset, PLC CPU312 module will, by digital output module output alarm signal to abnormal parameters alarm lamp, make it light; If PLC CPU312 module and PC communication broke down, PLC CPU312 module will, by digital output module output alarm signal to communication failure alarm lamp, make it light.
When stopping the work of this device, can press and stop key, this device will quit work.
Advantage of the present utility model and effect are:
Because this device adopts flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor to coordinate the Intelligent Measurement of Wastewater Treatment Parameters with PLC CPU312 module, PC, student is enable to understand and grasp method and the practical application of Intelligent Measurement better.
Accompanying drawing explanation
Fig. 1 is a kind of structural representation of the Wastewater Treatment Parameters intelligent detection device for experimental teaching;
Fig. 2 is a kind of circuit block diagram of the Wastewater Treatment Parameters intelligent detection device for experimental teaching.
Embodiment
Below in conjunction with embodiment, the utility model is described in detail.
Label declaration in Fig. 1: 1, data acquisition button, 2, error analysis button, 3, power light, 4, abnormal parameters alarm lamp, 5, communication failure alarm lamp, 6, PC, 7, keyboard, 8, experimental operation table, 9, wastewater treatment model, 10, signal cable, 11, control box, 12, flow of inlet water sensor signal input terminal, 13, dissolved oxygen sensor signal input terminal, 14, mixed liquor sludge concentration sensor signal input terminal, 15, solid suspension sensor signal input terminal, 16, start button, 17, pH sensor signal input terminal, 18, influent turbidity sensor signal input terminal, 19, oxidation-reduction potential sensor signal input terminal, 20, ammonia nitrogen sensor signal input terminal, 21, guidance panel, 22, intelligent measure button, 23, model imports button, 24, modeling button, 25, data prediction button, 26, derived data button, 27, stop key.
See Fig. 1, the utility model comprises: data acquisition button 1, error analysis button 2, power light 3, abnormal parameters alarm lamp 4, communication failure alarm lamp 5, PC 6, keyboard 7, experimental operation table 8, wastewater treatment model 9, signal cable 10, control box 11, flow of inlet water sensor signal input terminal 12, dissolved oxygen sensor signal input terminal 13, mixed liquor sludge concentration sensor signal input terminal 14, solid suspension sensor signal input terminal 15, start button 16, pH sensor signal input terminal 17, influent turbidity sensor signal input terminal 18, oxidation-reduction potential sensor signal input terminal 19, ammonia nitrogen sensor signal input terminal 20, guidance panel 21, intelligent measure button 22, model imports button 23, modeling button 24, data prediction button 25, derived data button 26, stop key 27.
See Fig. 2, the metering circuit in the utility model device control box comprises: PLC CPU312 module, power module, Analog input mModule, digital quantity input module, digital output module.
First by flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor is respectively by signal wire and flow of inlet water sensor signal input terminal 12, dissolved oxygen sensor signal input terminal 13, mixed liquor sludge concentration sensor signal input terminal 14, solid suspension sensor signal input terminal 15, pH sensor signal input terminal 17, influent turbidity sensor signal input terminal 18, oxidation-reduction potential sensor signal input terminal 19, ammonia nitrogen sensor signal input terminal 20 correspondence connects.Then switch on power, now power light 3 is lighted.Press and start button 16, now, this device enters duty.Press data acquisition button 1, now, this device enters data acquisition state.Flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor is respectively by the flow of inlet water signal of detected wastewater treatment model, dissolved oxygen DO signal, mixed liquor sludge concentration signal, solid suspension signal, pH value signal, influent turbidity signal, oxidation-reduction potential signal, ammonia nitrogen signal is sent into Analog input mModule through signal wire and is carried out analog to digital conversion, the flow of inlet water digital quantity signal obtained after analog to digital conversion, dissolved oxygen DO digital quantity signal, mixed liquor sludge concentration digital quantity signal, solid suspension digital quantity signal, pH value digital quantity signal, influent turbidity digital quantity signal, oxidation-reduction potential digital quantity signal, ammonia nitrogen digital quantity signal send PLC CPU312 module to carry out calculation process, obtains flow of inlet water data, dissolved oxygen DO data, mixed liquor sludge concentration data, solid suspension data, pH value data, influent turbidity data, oxidation-reduction potential data, ammonia nitrogen data are also temporary in PLC CPU312 module.Press data prediction button 25, then respectively data prediction is carried out to gathered flow of inlet water data, dissolved oxygen DO data, mixed liquor sludge concentration data, solid suspension data, pH value data, influent turbidity data, oxidation-reduction potential data, ammonia nitrogen data, obtain the one group of sample data meeting modeling demand.Press derived data button 26, then import pretreated flow of inlet water data, dissolved oxygen DO data, mixed liquor sludge concentration data, solid suspension data, pH value data, influent turbidity data, oxidation-reduction potential data, ammonia nitrogen data into PC through bus.After derived data reaches 60 groups, press modeling button 24, then in PC, complete the establishment of mathematical model structure and the calculating of model parameter by student.After mathematical model has been built, import button 23 by drag, then built mathematical model structure and parameter can have been imported to PLC CPU312 module.After mathematical model has imported, press intelligent measure button 22, this device enters intelligent measure state.Now, this device starts flow of inlet water data, dissolved oxygen DO data, mixed liquor sludge concentration data, solid suspension data, pH value data, influent turbidity data, oxidation-reduction potential data, the ammonia nitrogen data of Real-time Collection wastewater treatment model, and with these data for input, corresponding water outlet chemical oxygen demand (COD) (COD) data are gone out by the new calculated with mathematical model imported, water outlet biochemical oxygen demand (BOD) data, water outlet total nitrogen (TN) data, water outlet total phosphorus (TP) data.And calculated data are exported to PC automatically.Press error analysis button 2, this device can carry out error calculation to set up mathematical model, and result of calculation is exported to PC automatically, carries out error analysis for student.This device is in intelligent measure state or under data acquisition state, if when the data collected exceed the data area preset, PLC CPU312 module will, by digital output module output alarm signal to abnormal parameters alarm lamp 4, make it light; If PLC CPU312 module and PC communication broke down, PLC CPU312 module will, by digital output module output alarm signal to communication failure alarm lamp 5, make it light.When stopping the work of this device, can press and stop key 27, this device will quit work.
Claims (6)
1. the Wastewater Treatment Parameters intelligent detection device for experimental teaching, it is characterized in that, described device comprises control box and is positioned at the control circuit of control box, experimental operation table, guidance panel, PC, keyboard, wastewater treatment model and be positioned at the sensor group of model; Control circuit in control box comprises: PLC, CPU, power module, Analog input mModule, digital quantity input module, digital output module; Sensor group comprises: flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor;
Guidance panel is equipped with: power light, abnormal parameters alarm lamp, communication failure alarm lamp, flow of inlet water sensor signal input terminal, dissolved oxygen sensor signal input terminal, mixed liquor sludge concentration sensor signal input terminal, solid suspension sensor signal input terminal, pH sensor signal input terminal, influent turbidity sensor signal input terminal, oxidation-reduction potential sensor signal input terminal, ammonia nitrogen sensor signal input terminal, start button, data acquisition button, error analysis button, intelligent measure button, model imports button, modeling button, data prediction button, derived data button, stop key, guidance panel, PC, keyboard are all positioned on experimental operation table, and control box is positioned at the below of experimental operation table.
2. a kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching according to claim 1, it is characterized in that, described flow of inlet water sensor, dissolved oxygen sensor, mixed liquor sludge concentration sensor, solid suspension sensor, pH sensor, influent turbidity sensor, oxidation-reduction potential sensor, ammonia nitrogen sensor respectively by signal wire through signal cable and described flow of inlet water sensor signal input terminal, dissolved oxygen sensor signal input terminal, mixed liquor sludge concentration sensor signal input terminal, solid suspension sensor signal input terminal, pH sensor signal input terminal, influent turbidity sensor signal input terminal, oxidation-reduction potential sensor signal input terminal, ammonia nitrogen sensor signal input terminal is connected.
3. a kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching according to claim 1, it is characterized in that, described flow of inlet water sensor signal input terminal, dissolved oxygen sensor signal input terminal, mixed liquor sludge concentration sensor signal input terminal, solid suspension sensor signal input terminal, pH sensor signal input terminal, influent turbidity sensor signal input terminal, oxidation-reduction potential sensor signal input terminal, ammonia nitrogen sensor signal input terminal are connected with Analog input mModule respectively by signal wire.
4. a kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching according to claim 1, it is characterized in that, described startup button, data acquisition button, error analysis button, intelligent measure button, model import button, modeling button, data prediction button, derived data button, stopping key is connected with digital quantity input module respectively by signal wire.
5. a kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching according to claim 1, it is characterized in that, described digital output module is connected with power light, abnormal parameters alarm lamp, communication failure alarm lamp respectively by signal wire; Described Analog input mModule, digital quantity input module, digital output module are connected with PLC CPU312 module respectively by bus.
6. a kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching according to claim 1, it is characterized in that, described power module is connected with PLC CPU312 module by power lead; Described PC is connected with PLC CPU312 module by bus; Described keyboard is connected with PC by signal wire.
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| CN201520044934.5U CN204440747U (en) | 2015-01-23 | 2015-01-23 | A kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching |
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| CN201520044934.5U CN204440747U (en) | 2015-01-23 | 2015-01-23 | A kind of Wastewater Treatment Parameters intelligent detection device for experimental teaching |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106769726A (en) * | 2016-12-26 | 2017-05-31 | 东莞市海川博通信息科技有限公司 | A kind of turbidity and concentration of suspension sensor |
| CN107244730A (en) * | 2017-07-19 | 2017-10-13 | 广东水道元环保科技有限公司 | Bicyclic intersection ball type biological active filler component based on Internet of Things |
| CN107492299A (en) * | 2017-09-12 | 2017-12-19 | 中山大学 | A kind of intelligent open channel experimental system for integrating fluidised form monitoring and being measured with ion |
| CN110411923A (en) * | 2019-09-03 | 2019-11-05 | 中国海洋大学 | Marine boundary layer original position real-time monitoring device and method based on self-potential survey |
-
2015
- 2015-01-23 CN CN201520044934.5U patent/CN204440747U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106769726A (en) * | 2016-12-26 | 2017-05-31 | 东莞市海川博通信息科技有限公司 | A kind of turbidity and concentration of suspension sensor |
| CN107244730A (en) * | 2017-07-19 | 2017-10-13 | 广东水道元环保科技有限公司 | Bicyclic intersection ball type biological active filler component based on Internet of Things |
| CN107492299A (en) * | 2017-09-12 | 2017-12-19 | 中山大学 | A kind of intelligent open channel experimental system for integrating fluidised form monitoring and being measured with ion |
| CN110411923A (en) * | 2019-09-03 | 2019-11-05 | 中国海洋大学 | Marine boundary layer original position real-time monitoring device and method based on self-potential survey |
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