CN117003324A - Artificial intelligent control method and system for ammonia nitrogen wastewater treatment - Google Patents
Artificial intelligent control method and system for ammonia nitrogen wastewater treatment Download PDFInfo
- Publication number
- CN117003324A CN117003324A CN202311277164.4A CN202311277164A CN117003324A CN 117003324 A CN117003324 A CN 117003324A CN 202311277164 A CN202311277164 A CN 202311277164A CN 117003324 A CN117003324 A CN 117003324A
- Authority
- CN
- China
- Prior art keywords
- parameters
- tower
- target
- regulating valve
- deamination
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 title claims abstract description 67
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000004065 wastewater treatment Methods 0.000 title claims abstract description 22
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 24
- 230000002452 interceptive effect Effects 0.000 claims abstract description 16
- 230000009615 deamination Effects 0.000 claims description 130
- 238000006481 deamination reaction Methods 0.000 claims description 130
- 230000001105 regulatory effect Effects 0.000 claims description 117
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 110
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 claims description 101
- 235000011114 ammonium hydroxide Nutrition 0.000 claims description 95
- 239000007788 liquid Substances 0.000 claims description 72
- 238000010992 reflux Methods 0.000 claims description 39
- 238000011217 control strategy Methods 0.000 claims description 29
- 239000003513 alkali Substances 0.000 claims description 25
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 18
- 230000003993 interaction Effects 0.000 claims description 8
- 230000001276 controlling effect Effects 0.000 claims description 7
- 229910021529 ammonia Inorganic materials 0.000 claims description 6
- 229910052757 nitrogen Inorganic materials 0.000 claims description 6
- IJGRMHOSHXDMSA-UHFFFAOYSA-N nitrogen Substances N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 6
- 230000008569 process Effects 0.000 abstract description 12
- 238000005516 engineering process Methods 0.000 abstract description 7
- 238000012545 processing Methods 0.000 abstract description 7
- 230000007613 environmental effect Effects 0.000 abstract description 4
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 239000002351 wastewater Substances 0.000 description 21
- 239000003814 drug Substances 0.000 description 6
- 238000003860 storage Methods 0.000 description 6
- 238000003745 diagnosis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- -1 ammonium ions Chemical class 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000009360 aquaculture Methods 0.000 description 1
- 244000144974 aquaculture Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 229910017464 nitrogen compound Inorganic materials 0.000 description 1
- 150000002830 nitrogen compounds Chemical class 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/02—Treatment of water, waste water, or sewage by heating
- C02F1/04—Treatment of water, waste water, or sewage by heating by distillation or evaporation
- C02F1/048—Purification of waste water by evaporation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D3/00—Distillation or related exchange processes in which liquids are contacted with gaseous media, e.g. stripping
- B01D3/42—Regulation; Control
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/008—Control or steering systems not provided for elsewhere in subclass C02F
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2101/00—Nature of the contaminant
- C02F2101/10—Inorganic compounds
- C02F2101/16—Nitrogen compounds, e.g. ammonia
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/001—Upstream control, i.e. monitoring for predictive control
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/02—Temperature
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/03—Pressure
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/06—Controlling or monitoring parameters in water treatment pH
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/14—NH3-N
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/38—Gas flow rate
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/40—Liquid flow rate
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/42—Liquid level
Landscapes
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Hydrology & Water Resources (AREA)
- Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Water Supply & Treatment (AREA)
- Organic Chemistry (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Degasification And Air Bubble Elimination (AREA)
Abstract
The application discloses an artificial intelligent control method and system for ammonia nitrogen wastewater treatment. The scheme realizes the automatic control of the ammonia nitrogen wastewater treatment process by means of an artificial intelligence technology, reduces the manual operation and improves the treatment efficiency. The on-line instrument and the on-line detector are used for collecting and monitoring a plurality of key parameters in real time, so that the state of the processing process is mastered in time, and the control accuracy and flexibility are improved. The user can input the preset value of the target parameter through the interactive interface, and can view the real-time data, so that better user experience and operation convenience are provided. The user can set the preset value of the target parameter according to the real-time data, flexibly adjust according to the actual situation, and meet different processing requirements and environmental conditions.
Description
Technical Field
The application relates to the technical field of artificial intelligent control of ammonia nitrogen wastewater treatment, in particular to an artificial intelligent control method and system for ammonia nitrogen wastewater treatment.
Background
The high-concentration Ammonia Nitrogen wastewater refers to wastewater containing high-concentration Ammonia Nitrogen (Ammonia Nitrogen). Ammonia nitrogen refers to nitrogen compounds in the form of ammonia (NH 3) or ammonium ions (nh4+) that are commonly used to evaluate the ammonia content of wastewater. The high concentration ammonia nitrogen wastewater may be from various industrial processes such as fertilizer production, metallurgical industry, pharmaceutical industry, aquaculture, etc. Such wastewater requires special treatment during treatment and discharge because it has a certain environmental risk and impact on the ecosystem of the water body.
For high-concentration ammonia nitrogen wastewater, the most commonly used treatment technology at present is a stripping rectification technology. The traditional control mode of the stripping and rectifying equipment is mainly manual operation, and the adjustment of equipment parameters is generally hysteresis, so that the problems of inaccurate medicament addition amount and parameter control and medicament waste or substandard treatment are caused.
Disclosure of Invention
Based on the above, aiming at the technical problems, an artificial intelligent control method and an artificial intelligent control system for ammonia nitrogen wastewater treatment are provided to solve the problems that the traditional control mode of stripping rectification equipment is mainly manual operation, the adjustment of equipment parameters is generally hysteresis, the addition amount of a medicament and the parameter control are inaccurate, and the medicament is wasted or the treatment is not up to standard.
In a first aspect, an artificial intelligence control method for ammonia nitrogen wastewater treatment, the method comprising:
receiving a preset value of a target parameter input by a user; wherein the target parameters include: the deamination tower is provided with water inlet PH, treated water ammonia nitrogen concentration, condenser ammonia water concentration, tower kettle liquid level, tower kettle temperature, tower kettle pressure, tower top temperature, tower top pressure and condenser liquid level;
acquiring target parameters and real-time equipment operation data through an online instrument and an online detector; wherein, the online meter includes: the water inflow flowmeter, alkali lye flowmeter, tower cauldron level gauge, steam flowmeter, deamination tower top temperature sensor, deamination tower bottom temperature sensor, deamination tower top pressure sensor, deamination tower bottom pressure sensor, condenser level gauge, aqueous ammonia backward flow flowmeter, circulating water inflow temperature sensor and circulating water outlet water temperature sensor, the online detector includes: a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector and a condenser ammonia water concentration meter;
generating a control strategy according to the real-time data of the target parameters and the equipment operating parameters and the preset value of the target parameters, adjusting the operating parameters of the target control valves through the control strategy, and enabling the real-time data of the target parameters and the equipment operating parameters to reach the preset value of the target parameters in preset time.
In the above solution, optionally, the receiving the preset value of the target parameter input by the user includes: and the user inputs the preset value of the target parameter through an interactive interface, checks the real-time data of the target parameter and the equipment operation parameter through the interactive interface, and determines the target control valve to be adjusted according to the real-time data of the target parameter and the equipment operation parameter.
In the above scheme, further optionally, the acquisition frequency of the real-time data of the target parameter and the equipment operation parameter acquired by the on-line instrument and the on-line detector is 0.5s-3min each time.
In the above solution, further optionally, if the preset value of the target parameter input by the user is not received, the preset value of the target parameter is: the PH of the inlet water of the deamination tower is more than or equal to 12, the ammonia nitrogen concentration of the treated outlet water is 0-10mg/L, the ammonia water concentration of a condenser is 10% -30%, the liquid level of a tower kettle is 400-1200mm, the temperature of the tower kettle is 100-130 ℃, the pressure of the tower kettle is 10-50kpa, the temperature of the tower top is 89-98 ℃, the pressure of the tower top is-10-10 kpa, and the liquid level of the condenser is 200-1200mm;
generating a control strategy according to the real-time data of the target parameters and the equipment operation parameters and the preset value of the target parameters, and adjusting the operation parameters of the target control valve through the control strategy specifically comprises: adjusting an alkali liquor flow regulating valve according to the pH parameter of the inlet water of the deamination tower to maintain the pH of the inlet water of the deamination tower above 12;
adjusting a water inlet flow regulating valve, a steam flow regulating valve and an ammonia water reflux regulating valve according to the ammonia nitrogen on-line detector parameters to keep the ammonia nitrogen parameters of the effluent in the range of 0-10 mg/L;
adjusting an ammonia water reflux regulating valve and an ammonia water delivery regulating valve according to the ammonia water concentration meter parameters of the condenser to keep the ammonia water concentration parameters at 10% -30%;
adjusting a tower kettle liquid level regulating valve according to the tower kettle liquid level meter parameters to keep the tower kettle liquid level parameters at 400-1200mm;
adjusting a steam flow regulating valve according to the parameters of a deamination tower bottom temperature sensor to keep the tower bottom temperature parameter at 100-130 ℃;
regulating a steam flow regulating valve according to parameters of a tower bottom pressure sensor of the deamination tower to keep the tower bottom pressure parameters at 10-50kpa;
according to the parameters of a temperature sensor at the top of the deamination tower, a steam flow regulating valve and an ammonia water reflux regulating valve are regulated, so that the temperature parameter at the top of the deamination tower is kept at 89-98 ℃;
adjusting an ammonia water reflux regulating valve according to a deamination tower top pressure sensor to enable tower top pressure parameters to be-10-10 kpa;
and adjusting an ammonia water reflux regulating valve according to the parameters of the condenser liquid level meter to keep the parameters of the condenser liquid level at 200-1200mm.
In the above solution, further optionally, after the target parameter and the real-time data of the device operating parameter reach the preset value of the target parameter in the preset time, the method further includes: and if the real-time data of the target parameters and the equipment operation parameters do not reach the preset values of the target parameters after the preset time, sending out an alarm prompt, and simultaneously controlling the strategy and the deamination equipment to stop operation.
In a second aspect, an artificial intelligence control system for treating ammonia nitrogen wastewater, the system comprising:
and an interaction module: the preset value of the target parameter is used for receiving the input of a user; wherein the target parameters include: the deamination tower is provided with water inlet PH, treated water ammonia nitrogen concentration, condenser ammonia water concentration, tower kettle liquid level, tower kettle temperature, tower kettle pressure, tower top temperature, tower top pressure and condenser liquid level;
and the acquisition module is used for: the system is used for collecting target parameters and real-time equipment operation data through an online instrument and an online detector; wherein, the online meter includes: the water inflow flowmeter, alkali lye flowmeter, tower cauldron level gauge, steam flowmeter, deamination tower top temperature sensor, deamination tower bottom temperature sensor, deamination tower top pressure sensor, deamination tower bottom pressure sensor, condenser level gauge, aqueous ammonia backward flow flowmeter, circulating water inflow temperature sensor and circulating water outlet water temperature sensor, the online detector includes: a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector and a condenser ammonia water concentration meter;
and a control strategy module: and generating a control strategy according to the real-time data of the target parameters and the equipment operation parameters and the preset value of the target parameters, adjusting the operation parameters of the target control valves through the control strategy, and enabling the real-time data of the target parameters and the equipment operation parameters to reach the preset value of the target parameters in preset time.
In the above solution, optionally, the receiving, by the interaction module, a preset value of a target parameter input by a user includes: and the user inputs the preset value of the target parameter through an interactive interface, checks the real-time data of the target parameter and the equipment operation parameter through the interactive interface, and determines the target control valve to be adjusted according to the real-time data of the target parameter and the equipment operation parameter.
In the above scheme, further optionally, the acquisition module acquires the real-time data of the target parameter and the equipment operating parameter through the online instrument and the online detector at a frequency of 0.5s-3min each time.
In the above solution, further optionally, the system further includes: default parameters module: and if the preset value of the target parameter input by the user is not received, the preset value of the target parameter is: the PH of the inlet water of the deamination tower is more than or equal to 12, the ammonia nitrogen concentration of the treated outlet water is 0-10mg/L, the ammonia water concentration of a condenser is 10% -30%, the liquid level of a tower kettle is 400-1200mm, the temperature of the tower kettle is 100-130 ℃, the pressure of the tower kettle is 10-50kpa, the temperature of the tower top is 89-98 ℃, the pressure of the tower top is-10-10 kpa, and the liquid level of the condenser is 200-1200mm;
generating a control strategy according to the real-time data of the target parameters and the equipment operation parameters and the preset value of the target parameters, and adjusting the operation parameters of the target control valve through the control strategy specifically comprises: adjusting an alkali liquor flow regulating valve according to the pH parameter of the inlet water of the deamination tower to maintain the pH of the inlet water of the deamination tower above 12;
adjusting a water inlet flow regulating valve, a steam flow regulating valve and an ammonia water reflux regulating valve according to the ammonia nitrogen on-line detector parameters to keep the ammonia nitrogen parameters of the effluent in the range of 0-10 mg/L;
adjusting an ammonia water reflux regulating valve and an ammonia water delivery regulating valve according to the ammonia water concentration meter parameters of the condenser to keep the ammonia water concentration parameters at 10% -30%;
adjusting a tower kettle liquid level regulating valve according to the tower kettle liquid level meter parameters to keep the tower kettle liquid level parameters at 400-1200mm;
adjusting a steam flow regulating valve according to the parameters of a deamination tower bottom temperature sensor to keep the tower bottom temperature parameter at 100-130 ℃;
regulating a steam flow regulating valve according to parameters of a tower bottom pressure sensor of the deamination tower to keep the tower bottom pressure parameters at 10-50kpa;
according to the parameters of a temperature sensor at the top of the deamination tower, a steam flow regulating valve and an ammonia water reflux regulating valve are regulated, so that the temperature parameter at the top of the deamination tower is kept at 89-98 ℃;
adjusting an ammonia water reflux regulating valve according to a deamination tower top pressure sensor to enable tower top pressure parameters to be-10-10 kpa;
and adjusting an ammonia water reflux regulating valve according to the parameters of the condenser liquid level meter to keep the parameters of the condenser liquid level at 200-1200mm.
In the above solution, further optionally, the system further includes: and (3) a safety module: and if the real-time data of the target parameter and the equipment operation parameter do not reach the preset value of the target parameter after the preset time, sending out an alarm prompt, and simultaneously controlling the strategy and the deamination equipment to stop operation.
The application has at least the following beneficial effects:
based on further analysis and research on the problems in the prior art, the application recognizes that the control mode of the traditional stripping and rectifying equipment is mainly manual operation, and the adjustment of equipment parameters is generally hysteresis, so that the problems of inaccurate medicament addition amount and parameter control and medicament waste or substandard treatment are caused. The scheme provides an artificial intelligent control method for ammonia nitrogen wastewater treatment, which is characterized in that a control strategy is generated to adjust each parameter by receiving a preset value of a target parameter input by a user and combining data acquired in real time, and finally, the real-time data of the target parameter and the equipment operation parameter reach the preset value. The scheme achieves automatic control: by means of artificial intelligence technology, automatic control of the ammonia nitrogen wastewater treatment process is achieved, manual operation is reduced, and treatment efficiency is improved. The method comprises the following steps of: the on-line instrument and the on-line detector are used for collecting and monitoring a plurality of key parameters in real time, so that the state of the processing process is mastered in time, and the control accuracy and flexibility are improved. User interaction is realized: the user can input the preset value of the target parameter through the interactive interface, and can check the real-time data of the equipment operation through the interactive interface, so that better user experience and operation convenience are provided. For a preset value setting: the user can set the preset value of the target parameter according to the requirement, flexibly adjust according to the actual situation, and meet different processing requirements and environmental conditions.
Drawings
FIG. 1 is a schematic flow chart of an artificial intelligence control method for ammonia nitrogen wastewater treatment according to an embodiment of the application;
FIG. 2 is a schematic diagram of a frame flow of an artificial intelligence control method for ammonia nitrogen wastewater treatment according to an embodiment of the present application;
FIG. 3 is a block diagram of a module architecture of an artificial intelligence control system for ammonia nitrogen wastewater treatment according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The artificial intelligence control method for ammonia nitrogen wastewater treatment provided by the application, as shown in figures 1-2, comprises the following steps:
receiving a preset value of a target parameter input by a user; wherein the target parameters include: the deamination tower is provided with water inlet PH, treated water ammonia nitrogen concentration, condenser ammonia water concentration, tower kettle liquid level, tower kettle temperature, tower kettle pressure, tower top temperature, tower top pressure and condenser liquid level;
acquiring target parameters and real-time equipment operation data through an online instrument and an online detector; wherein, the online meter includes: the water inflow flowmeter, alkali lye flowmeter, tower cauldron level gauge, steam flowmeter, deamination tower top temperature sensor, deamination tower bottom temperature sensor, deamination tower top pressure sensor, deamination tower bottom pressure sensor, condenser level gauge, aqueous ammonia backward flow flowmeter, circulating water inflow temperature sensor and circulating water outlet water temperature sensor, the online detector includes: a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector and a condenser ammonia water concentration meter;
generating a control strategy according to the real-time data of the target parameters and the equipment operating parameters and the preset value of the target parameters, adjusting the operating parameters of the target control valves through the control strategy, and enabling the real-time data of the target parameters and the equipment operating parameters to reach the preset value of the target parameters in preset time.
In this embodiment, the receiving the preset value of the target parameter input by the user includes: and the user inputs the preset value of the target parameter through an interactive interface, checks the real-time data of the target parameter and the equipment operation parameter through the interactive interface, and determines the target control valve to be adjusted according to the real-time data of the target parameter and the equipment operation parameter.
In this embodiment, the frequency of collecting real-time data of the target parameter and the device operating parameter collected by the online instrument and the online detector is 0.5s-3min each time.
In this embodiment, if the preset value of the target parameter input by the user is not received, the preset value of the target parameter is: the PH of the inlet water of the deamination tower is more than or equal to 12, the ammonia nitrogen concentration of the treated outlet water is 0-10mg/L, the ammonia water concentration of a condenser is 10% -30%, the liquid level of a tower kettle is 400-1200mm, the temperature of the tower kettle is 100-130 ℃, the pressure of the tower kettle is 10-50kpa, the temperature of the tower top is 89-98 ℃, the pressure of the tower top is-10-10 kpa, and the liquid level of the condenser is 200-1200mm;
generating a control strategy according to the real-time data of the target parameters and the equipment operation parameters and the preset value of the target parameters, and adjusting the operation parameters of the target control valve through the control strategy specifically comprises: adjusting an alkali liquor flow regulating valve according to the pH parameter of the inlet water of the deamination tower to maintain the pH of the inlet water of the deamination tower above 12;
adjusting a water inlet flow regulating valve, a steam flow regulating valve and an ammonia water reflux regulating valve according to the ammonia nitrogen on-line detector parameters to keep the ammonia nitrogen parameters of the effluent in the range of 0-10 mg/L;
adjusting an ammonia water reflux regulating valve and an ammonia water delivery regulating valve according to the ammonia water concentration meter parameters of the condenser to keep the ammonia water concentration parameters at 10% -30%;
adjusting a tower kettle liquid level regulating valve according to the tower kettle liquid level meter parameters to keep the tower kettle liquid level parameters at 400-1200mm;
adjusting a steam flow regulating valve according to the parameters of a deamination tower bottom temperature sensor to keep the tower bottom temperature parameter at 100-130 ℃;
regulating a steam flow regulating valve according to parameters of a tower bottom pressure sensor of the deamination tower to keep the tower bottom pressure parameters at 10-50kpa;
according to the parameters of a temperature sensor at the top of the deamination tower, a steam flow regulating valve and an ammonia water reflux regulating valve are regulated, so that the temperature parameter at the top of the deamination tower is kept at 89-98 ℃;
adjusting an ammonia water reflux regulating valve according to a deamination tower top pressure sensor to enable tower top pressure parameters to be-10-10 kpa;
and adjusting an ammonia water reflux regulating valve according to the parameters of the condenser liquid level meter to keep the parameters of the condenser liquid level at 200-1200mm.
In this embodiment, after the real-time data of the target parameter and the device operating parameter reach the preset value of the target parameter in the preset time, the method further includes: and if the real-time data of the target parameters and the equipment operation parameters do not reach the preset values of the target parameters after the preset time, sending out an alarm prompt, and simultaneously controlling the strategy and the deamination equipment to stop operation.
In one embodiment, a stripping, rectifying and deaminating device for high-concentration ammonia nitrogen wastewater is provided, the water treatment amount of equipment is 500-800 m/d, the ammonia nitrogen concentration of inlet water is 6-8g/L, the concentration of ammonia water produced by a condenser is required to be controlled to be more than or equal to 15%, and the liquid level of the condenser is controlled to be 200-1200mm.
The artificial intelligent control system part comprises an industrial personal computer, an online instrument, an online detector, an artificial intelligent control system and a cloud data acquisition and storage system. Wherein the on-line meter includes: a water inlet flow meter, an alkali liquor flow meter, a tower kettle liquid level meter, a steam flow meter, a deamination tower top temperature sensor, a deamination tower bottom temperature sensor, a deamination tower top pressure sensor, a deamination tower bottom pressure sensor, a condenser liquid level meter, an ammonia water reflux flow meter, a circulating water inlet temperature sensor and a circulating water outlet temperature sensor; the on-line detector includes: a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector (treated water outlet), and a condenser ammonia concentration meter. The valve regulated by the artificial intelligent control system comprises a water inlet flow regulating valve, an alkali liquor flow regulating valve, a tower kettle liquid level regulating valve, a qualified wastewater tank regulating valve after deamination, a unqualified wastewater tank regulating valve after deamination, a steam flow regulating valve, an ammonia water backflow regulating valve and an ammonia water delivery regulating valve.
In the running process of the equipment, parameters of a water inlet flow meter, an alkali liquor flow meter, a tower kettle liquid level meter, a steam flow meter, a deamination tower top temperature sensor, a deamination tower bottom temperature sensor, a deamination tower top pressure sensor, a deamination tower bottom pressure sensor, a condenser liquid level meter, an ammonia water reflux flow meter, a circulating water inlet temperature sensor, a circulating water outlet temperature sensor, a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector (treated water outlet) and a condenser ammonia water concentration meter are uploaded to a cloud data acquisition and storage system, and the uploading frequency is 1 second for 1 time.
The artificial intelligent control system controls the liquid level of the condenser to be maintained at about 1000mm through the ammonia water reflux flow regulating valve, the ammonia water reflux amount is continuously reduced along with the continuous improvement of the ammonia water concentration in the condenser until the ammonia water concentration is continuously improved to be more than 15%, the liquid level of the condenser can also be kept at a certain rising trend, and at the moment, the up-to-standard ammonia water is discharged through the ammonia water external regulating valve. Through the accurate operation of AI, the ammonia water continuously flows back to concentrate and continuously is extracted.
In one embodiment, the stripping, rectifying and deaminizing device for certain high-concentration ammonia nitrogen wastewater has the equipment treatment water quantity of 1000-1500 m/d, the inlet ammonia nitrogen concentration of 7-10g/L and the required control of the treated outlet ammonia nitrogen concentration of 0-8mg/L.
In the embodiment, the artificial intelligence control system part comprises an industrial personal computer, an online instrument, an online detector, an artificial intelligence control system and a cloud data acquisition and storage system. Wherein the on-line meter includes: a water inlet flow meter, an alkali liquor flow meter, a tower kettle liquid level meter, a steam flow meter, a deamination tower top temperature sensor, a deamination tower bottom temperature sensor, a deamination tower top pressure sensor, a deamination tower bottom pressure sensor, a condenser liquid level meter, an ammonia water reflux flow meter, a circulating water inlet temperature sensor and a circulating water outlet temperature sensor; the on-line detector includes: a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector (treated water outlet), and a condenser ammonia concentration meter. The valve regulated by the artificial intelligent control system comprises a water inlet flow regulating valve, an alkali liquor flow regulating valve, a tower kettle liquid level regulating valve, a qualified wastewater tank pneumatic valve after deamination, a unqualified wastewater tank pneumatic valve after deamination, a steam flow regulating valve, an ammonia water backflow regulating valve and an ammonia water delivery regulating valve.
In the running process of the equipment, parameters of a water inlet flow meter, an alkali liquor flow meter, a tower kettle liquid level meter, a steam flow meter, a deamination tower top temperature sensor, a deamination tower bottom temperature sensor, a deamination tower top pressure sensor, a deamination tower bottom pressure sensor, a condenser liquid level meter, an ammonia water reflux flow meter, a circulating water inlet temperature sensor, a circulating water outlet temperature sensor, a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector (treated water outlet) and a condenser ammonia water concentration meter are uploaded to a cloud data acquisition and storage system, and the uploading frequency is 0.5 seconds for 1 time.
When the ammonia nitrogen detection value of the treated effluent exceeds 10mg/L, the artificial intelligence opens the pneumatic valve of the waste water tank which is unqualified after deamination, and simultaneously closes the pneumatic valve of the waste water tank which is qualified after deamination. Meanwhile, the artificial intelligence increases the steam flow and reduces the ammonia water reflux quantity of the condenser until the ammonia nitrogen concentration of the treated effluent is reduced to below 10mg/L, the artificial intelligence opens the pneumatic valve of the qualified wastewater tank after deamination, and closes the pneumatic valve of the unqualified wastewater tank after deamination.
The stripping, rectifying and deaminizing device for high-concentration ammonia nitrogen wastewater has the equipment treatment water quantity of 2000-3000 m/d, the inlet water ammonia nitrogen concentration of 8-15g/L, and the pH value of the inlet water of the deaminizing tower is required to be controlled to be 12-12.5.
The artificial intelligent control system part comprises an industrial personal computer, an online instrument, an online detector, an artificial intelligent control system and a cloud data acquisition and storage system. Wherein the on-line meter includes: a water inlet flow meter, an alkali liquor flow meter, a tower kettle liquid level meter, a steam flow meter, a deamination tower top temperature sensor, a deamination tower bottom temperature sensor, a deamination tower top pressure sensor, a deamination tower bottom pressure sensor, a condenser liquid level meter, an ammonia water reflux flow meter, a circulating water inlet temperature sensor and a circulating water outlet temperature sensor; the on-line detector includes: a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector (treated water outlet), and a condenser ammonia concentration meter. The valve regulated by the artificial intelligent control system comprises a water inlet flow regulating valve, an alkali liquor flow regulating valve, a tower kettle liquid level regulating valve, a qualified wastewater tank pneumatic valve after deamination, a unqualified wastewater tank pneumatic valve after deamination, a steam flow regulating valve, an ammonia water backflow regulating valve and an ammonia water delivery regulating valve.
In the running process of the equipment, parameters of a water inlet flow meter, an alkali liquor flow meter, a tower kettle liquid level meter, a steam flow meter, a deamination tower top temperature sensor, a deamination tower bottom temperature sensor, a deamination tower top pressure sensor, a deamination tower bottom pressure sensor, a condenser liquid level meter, an ammonia water reflux flow meter, a circulating water inlet temperature sensor, a circulating water outlet temperature sensor, a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector (treated water outlet) and a condenser ammonia water concentration meter are uploaded to a cloud data acquisition and storage system, and the uploading frequency is 1 time for 2 seconds.
When the PH value of the inlet water is lower than 12, the opening of the alkali liquor flow regulating valve is increased by the artificial intelligence, the alkali adding amount is increased until the PH value of the inlet water is higher than 12, and when the PH value of the inlet water is higher than 12.5, the opening of the alkali liquor flow regulating valve is reduced by the artificial intelligence, the alkali adding amount is reduced until the PH value of the inlet water is lower than 12.5.
According to the embodiment, the preset value of the target parameter input by the user is received, and the real-time data of the target parameter and the equipment operation parameter reach the preset value finally by combining the real-time collected data to generate the control strategy to adjust each parameter. The scheme has the following advantages:
and (3) automatic control: by means of artificial intelligence technology, automatic control of the ammonia nitrogen wastewater treatment process is achieved, manual operation is reduced, and treatment efficiency is improved.
And (3) real-time monitoring: the on-line instrument and the on-line detector are used for collecting and monitoring a plurality of key parameters in real time, so that the state of the processing process is mastered in time, and the control accuracy and flexibility are improved.
User interaction: the user can check the real-time data through the interactive interface and input the corresponding target parameter preset value, so that better user experience and operation convenience are provided.
Setting a preset value: the user can set the preset value of the target parameter according to the real-time data, flexibly adjust according to the actual situation, and meet different processing requirements and environmental conditions;
accuracy and consistency: through artificial intelligence technology, can realize the accurate regulation and control to each parameter, improve the uniformity and the stability of handling.
Multivariable optimization: the method can process and optimize a plurality of parameters at the same time instead of controlling a single parameter, so that the method can better cope with the complexity and diversity in the wastewater treatment process.
Fault diagnosis and prediction: the artificial intelligent control system can utilize historical data and a model to carry out fault diagnosis and prediction, discover and solve problems in time, and reduce downtime and maintenance cost.
Automatic adjustment: the system can automatically adjust the control parameters according to the data acquired in real time and the preset value, human intervention is not needed, the burden of operators is reduced, and the risk of human errors is reduced.
Data analysis and optimization: by analyzing and mining a large amount of historical data, the artificial intelligence system can help optimize the wastewater treatment process, improve the treatment efficiency and save resources.
Intelligent decision support: based on artificial intelligence technology, the system can provide decision support, help operators to make reasonable processing schemes and adjustment strategies, and improve the accuracy and efficiency of decision making.
In one embodiment, as shown in fig. 3, an artificial intelligence control system for ammonia nitrogen wastewater treatment is provided, comprising the following program modules:
and an interaction module: the preset value of the target parameter is used for receiving the input of a user; wherein the target parameters include: the deamination tower is provided with water inlet PH, treated water ammonia nitrogen concentration, condenser ammonia water concentration, tower kettle liquid level, tower kettle temperature, tower kettle pressure, tower top temperature, tower top pressure and condenser liquid level;
and the acquisition module is used for: the system is used for collecting real-time data of target parameters and equipment operation parameters through an online instrument and an online detector; wherein, the online meter includes: the water inflow flowmeter, alkali lye flowmeter, tower cauldron level gauge, steam flowmeter, deamination tower top temperature sensor, deamination tower bottom temperature sensor, deamination tower top pressure sensor, deamination tower bottom pressure sensor, condenser level gauge, aqueous ammonia backward flow flowmeter, circulating water inflow temperature sensor and circulating water outlet water temperature sensor, the online detector includes: a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector and a condenser ammonia water concentration meter;
and a control strategy module: and generating a control strategy according to the real-time data of the target parameters and the equipment operation parameters and the preset value of the target parameters, adjusting the operation parameters of the target control valves through the control strategy, and enabling the real-time data of the target parameters and the equipment operation parameters to reach the preset value of the target parameters in preset time.
In this embodiment, the receiving, by the interaction module, the preset value of the target parameter input by the user includes: and the user inputs the preset value of the target parameter through an interactive interface, checks the real-time data of the target parameter and the equipment operation parameter through the interactive interface, and determines the target control valve to be adjusted according to the real-time data of the target parameter and the equipment operation parameter.
In this embodiment, the acquisition frequency of the acquisition module for acquiring the real-time data of the target parameter and the equipment operating parameter through the online instrument and the online detector is 0.5s-3min each time.
In this embodiment, the system further includes: default parameters module: and if the preset value of the target parameter input by the user is not received, the preset value of the target parameter is: the PH of the inlet water of the deamination tower is more than or equal to 12, the ammonia nitrogen concentration of the treated outlet water is 0-10mg/L, the ammonia water concentration of a condenser is 10% -30%, the liquid level of a tower kettle is 400-1200mm, the temperature of the tower kettle is 100-130 ℃, the pressure of the tower kettle is 10-50kpa, the temperature of the tower top is 89-98 ℃, the pressure of the tower top is-10-10 kpa, and the liquid level of the condenser is 200-1200mm;
generating a control strategy according to the real-time data of the target parameters and the equipment operation parameters and the preset value of the target parameters, and adjusting the operation parameters of the target control valve through the control strategy specifically comprises: adjusting an alkali liquor flow regulating valve according to the pH parameter of the inlet water of the deamination tower to maintain the pH of the inlet water of the deamination tower above 12;
adjusting a water inlet flow regulating valve, a steam flow regulating valve and an ammonia water reflux regulating valve according to the ammonia nitrogen on-line detector parameters to keep the ammonia nitrogen parameters of the effluent in the range of 0-10 mg/L;
adjusting an ammonia water reflux regulating valve and an ammonia water delivery regulating valve according to the ammonia water concentration meter parameters of the condenser to keep the ammonia water concentration parameters at 10% -30%;
adjusting a tower kettle liquid level regulating valve according to the tower kettle liquid level meter parameters to keep the tower kettle liquid level parameters at 400-1200mm;
adjusting a steam flow regulating valve according to the parameters of a deamination tower bottom temperature sensor to keep the tower bottom temperature parameter at 100-130 ℃;
regulating a steam flow regulating valve according to parameters of a tower bottom pressure sensor of the deamination tower to keep the tower bottom pressure parameters at 10-50kpa;
according to the parameters of a temperature sensor at the top of the deamination tower, a steam flow regulating valve and an ammonia water reflux regulating valve are regulated, so that the temperature parameter at the top of the deamination tower is kept at 89-98 ℃;
adjusting an ammonia water reflux regulating valve according to a deamination tower top pressure sensor to enable tower top pressure parameters to be-10-10 kpa;
and adjusting an ammonia water reflux regulating valve according to the parameters of the condenser liquid level meter to keep the parameters of the condenser liquid level at 200-1200mm.
In this embodiment, the system further includes: and (3) a safety module: and if the real-time data of the target parameter and the equipment operation parameter do not reach the preset value of the target parameter after the preset time, sending out an alarm prompt, and simultaneously controlling the strategy and the deamination equipment to stop operation.
The specific limitation of the artificial intelligence control system for ammonia nitrogen wastewater treatment can be referred to the limitation of the artificial intelligence control method for ammonia nitrogen wastewater treatment hereinabove, and will not be described herein. All or part of each module in the artificial intelligent control system for treating the ammonia nitrogen wastewater can be realized by software, hardware and the combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. An artificial intelligence control method for ammonia nitrogen wastewater treatment, which is characterized by comprising the following steps:
receiving a preset value of a target parameter input by a user; wherein the target parameters include: the deamination tower is provided with a water inlet PH, a treated water outlet ammonia nitrogen concentration, a condenser ammonia concentration, a tower kettle liquid level, a tower kettle temperature, a tower kettle pressure, a tower top temperature, a tower top pressure and a condenser liquid level;
acquiring real-time data of target parameters and equipment operation parameters through an online instrument and an online detector; wherein, the online meter includes: the water inflow flowmeter, alkali lye flowmeter, tower cauldron level gauge, steam flowmeter, deamination tower top temperature sensor, deamination tower bottom temperature sensor, deamination tower top pressure sensor, deamination tower bottom pressure sensor, condenser level gauge, aqueous ammonia backward flow flowmeter, circulating water inflow temperature sensor and circulating water outlet water temperature sensor, the online detector includes: a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector and a condenser ammonia water concentration meter;
generating a control strategy according to the real-time data of the target parameters and the equipment operating parameters and the preset value of the target parameters, adjusting the operating parameters of the target control valves through the control strategy, and enabling the real-time data of the target parameters and the equipment operating parameters to reach the preset value of the target parameters in preset time.
2. The method of claim 1, wherein receiving the preset value of the target parameter input by the user comprises: and the user inputs the preset value of the target parameter through an interactive interface, checks the real-time data of the target parameter and the equipment operation parameter through the interactive interface, and determines the target control valve to be adjusted according to the real-time data of the target parameter and the equipment operation parameter.
3. The method according to claim 1, wherein the acquisition frequency of the real-time data of the acquisition of the target parameters and the operation of the equipment by the on-line instrument and the on-line detector is 0.5s-3min each time.
4. The method of claim 1, wherein if the preset value of the target parameter input by the user is not received, the preset value of the target parameter is: the PH of the inlet water of the deamination tower is more than or equal to 12, the ammonia nitrogen concentration of the treated outlet water is 0-10mg/L, the ammonia water concentration of a condenser is 10% -30%, the liquid level of a tower kettle is 400-1200mm, the temperature of the tower kettle is 100-130 ℃, the pressure of the tower kettle is 10-50kpa, the temperature of the tower top is 89-98 ℃, the pressure of the tower top is-10-10 kpa, and the liquid level of the condenser is 200-1200mm;
generating a control strategy according to the real-time data of the target parameters and the equipment operation parameters and the preset value of the target parameters, and adjusting the operation parameters of the target control valve through the control strategy specifically comprises: adjusting an alkali liquor flow regulating valve according to the pH parameter of the inlet water of the deamination tower to maintain the pH of the inlet water of the deamination tower above 12;
adjusting a water inlet flow regulating valve, a steam flow regulating valve and an ammonia water reflux regulating valve according to the ammonia nitrogen on-line detector parameters to keep the ammonia nitrogen parameters of the effluent in the range of 0-10 mg/L;
adjusting an ammonia water reflux regulating valve and an ammonia water delivery regulating valve according to the ammonia water concentration meter parameters of the condenser to keep the ammonia water concentration parameters at 10% -30%;
adjusting a tower kettle liquid level regulating valve according to the tower kettle liquid level meter parameters to keep the tower kettle liquid level parameters at 400-1200mm;
adjusting a steam flow regulating valve according to the parameters of a deamination tower bottom temperature sensor to keep the tower bottom temperature parameter at 100-130 ℃;
regulating a steam flow regulating valve according to parameters of a tower bottom pressure sensor of the deamination tower to keep the tower bottom pressure parameters at 10-50kpa;
according to the parameters of a temperature sensor at the top of the deamination tower, a steam flow regulating valve and an ammonia water reflux regulating valve are regulated, so that the temperature parameter at the top of the deamination tower is kept at 89-98 ℃;
adjusting an ammonia water reflux regulating valve according to a deamination tower top pressure sensor to enable tower top pressure parameters to be-10-10 kpa;
and adjusting an ammonia water reflux regulating valve according to the parameters of the condenser liquid level meter to keep the parameters of the condenser liquid level at 200-1200mm.
5. The method of claim 1, wherein after the target parameter and the real-time data of the device operating parameter reach the preset value of the target parameter within the preset time, further comprising: and if the real-time data of the target parameters and the equipment operation parameters do not reach the preset values of the target parameters after the preset time, sending out an alarm prompt, and simultaneously controlling the strategy and the deamination equipment to stop operation.
6. An artificial intelligence control system for ammonia nitrogen wastewater treatment, the system comprising:
and an interaction module: the method comprises the steps of receiving preset values of target parameters input by a user and checking real-time data by the user; wherein the target parameters include: the deamination tower is provided with water inlet PH, treated water ammonia nitrogen concentration, condenser ammonia water concentration, tower kettle liquid level, tower kettle temperature, tower kettle pressure, tower top temperature, tower top pressure and condenser liquid level;
and the acquisition module is used for: the system is used for collecting target parameters and real-time equipment operation data through an online instrument and an online detector; wherein, the online meter includes: the water inflow flowmeter, alkali lye flowmeter, tower cauldron level gauge, steam flowmeter, deamination tower top temperature sensor, deamination tower bottom temperature sensor, deamination tower top pressure sensor, deamination tower bottom pressure sensor, condenser level gauge, aqueous ammonia backward flow flowmeter, circulating water inflow temperature sensor and circulating water outlet water temperature sensor, the online detector includes: a deamination tower water inlet PH meter, an ammonia nitrogen on-line detector and a condenser ammonia water concentration meter;
and a control strategy module: and generating a control strategy according to the real-time data of the target parameters and the equipment operation parameters and the preset value of the target parameters, adjusting the operation parameters of the target control valves through the control strategy, and enabling the real-time data of the target parameters and the equipment operation parameters to reach the preset value of the target parameters in preset time.
7. The system of claim 6, wherein the interaction module receiving preset values of target parameters entered by a user comprises: and the user inputs the preset value of the target parameter through an interactive interface, checks the real-time data of the target parameter and the equipment operation parameter through the interactive interface, and determines the target control valve to be adjusted according to the real-time data of the target parameter and the equipment operation parameter.
8. The system of claim 6, wherein the acquisition module acquires real-time data of the target parameter and the device operating parameter through the on-line instrument and the on-line detector at a frequency of 0.5s-3min each time.
9. The system of claim 6, wherein the system further comprises: default parameters module: and if the preset value of the target parameter input by the user is not received, the preset value of the target parameter is: the PH of the inlet water of the deamination tower is more than or equal to 12, the ammonia nitrogen concentration of the treated outlet water is 0-10mg/L, the ammonia water concentration of a condenser is 10% -30%, the liquid level of a tower kettle is 400-1200mm, the temperature of the tower kettle is 100-130 ℃, the pressure of the tower kettle is 10-50kpa, the temperature of the tower top is 89-98 ℃, the pressure of the tower top is-10-10 kpa, and the liquid level of the condenser is 200-1200mm;
generating a control strategy according to the real-time data of the target parameters and the equipment operation parameters and the preset value of the target parameters, and adjusting the operation parameters of the target control valve through the control strategy specifically comprises: adjusting an alkali liquor flow regulating valve according to the pH parameter of the inlet water of the deamination tower to maintain the pH of the inlet water of the deamination tower above 12;
adjusting a water inlet flow regulating valve, a steam flow regulating valve and an ammonia water reflux regulating valve according to the ammonia nitrogen on-line detector parameters to keep the ammonia nitrogen parameters of the effluent in the range of 0-10 mg/L;
adjusting an ammonia water reflux regulating valve and an ammonia water delivery regulating valve according to the ammonia water concentration meter parameters of the condenser to keep the ammonia water concentration parameters at 10% -30%;
adjusting a tower kettle liquid level regulating valve according to the tower kettle liquid level meter parameters to keep the tower kettle liquid level parameters at 400-1200mm;
adjusting a steam flow regulating valve according to the parameters of a deamination tower bottom temperature sensor to keep the tower bottom temperature parameter at 100-130 ℃;
regulating a steam flow regulating valve according to parameters of a tower bottom pressure sensor of the deamination tower to keep the tower bottom pressure parameters at 10-50kpa;
according to the parameters of a temperature sensor at the top of the deamination tower, a steam flow regulating valve and an ammonia water reflux regulating valve are regulated, so that the temperature parameter at the top of the deamination tower is kept at 89-98 ℃;
adjusting an ammonia water reflux regulating valve according to a deamination tower top pressure sensor to enable tower top pressure parameters to be-10-10 kpa;
and adjusting an ammonia water reflux regulating valve according to the parameters of the condenser liquid level meter to keep the parameters of the condenser liquid level at 200-1200mm.
10. The system of claim 6, wherein the system further comprises: and (3) a safety module: and if the real-time data of the target parameter and the equipment operation parameter do not reach the preset value of the target parameter after the preset time, sending out an alarm prompt, and simultaneously controlling the strategy and the deamination equipment to stop operation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311277164.4A CN117003324A (en) | 2023-10-07 | 2023-10-07 | Artificial intelligent control method and system for ammonia nitrogen wastewater treatment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311277164.4A CN117003324A (en) | 2023-10-07 | 2023-10-07 | Artificial intelligent control method and system for ammonia nitrogen wastewater treatment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN117003324A true CN117003324A (en) | 2023-11-07 |
Family
ID=88569395
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311277164.4A Pending CN117003324A (en) | 2023-10-07 | 2023-10-07 | Artificial intelligent control method and system for ammonia nitrogen wastewater treatment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117003324A (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102381819A (en) * | 2011-11-08 | 2012-03-21 | 河南省化工研究所有限责任公司 | Industrial wastewater treatment device |
KR102108512B1 (en) * | 2019-09-25 | 2020-05-08 | 코웨이엔텍 주식회사 | Ammonia removal system and method using membrane contactor |
CN111392947A (en) * | 2020-04-13 | 2020-07-10 | 湖北泰盛化工有限公司 | Ammonia water resource utilization process and device |
CN112939209A (en) * | 2021-02-03 | 2021-06-11 | 上海市城市建设设计研究总院(集团)有限公司 | Sewage treatment aeration control system based on artificial neural network and operation method thereof |
CN114437845A (en) * | 2020-11-03 | 2022-05-06 | 中国石油化工股份有限公司 | Computer control method for natural gas solvent absorption denitrification process |
CN219009958U (en) * | 2022-11-18 | 2023-05-12 | 世韩(天津)节能环保科技有限公司 | Rectification deamination system |
WO2023165001A1 (en) * | 2022-03-03 | 2023-09-07 | 北京工业大学 | Composite sewage denitrification process device and operation parameter optimization method |
-
2023
- 2023-10-07 CN CN202311277164.4A patent/CN117003324A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102381819A (en) * | 2011-11-08 | 2012-03-21 | 河南省化工研究所有限责任公司 | Industrial wastewater treatment device |
KR102108512B1 (en) * | 2019-09-25 | 2020-05-08 | 코웨이엔텍 주식회사 | Ammonia removal system and method using membrane contactor |
CN111392947A (en) * | 2020-04-13 | 2020-07-10 | 湖北泰盛化工有限公司 | Ammonia water resource utilization process and device |
CN114437845A (en) * | 2020-11-03 | 2022-05-06 | 中国石油化工股份有限公司 | Computer control method for natural gas solvent absorption denitrification process |
CN112939209A (en) * | 2021-02-03 | 2021-06-11 | 上海市城市建设设计研究总院(集团)有限公司 | Sewage treatment aeration control system based on artificial neural network and operation method thereof |
WO2023165001A1 (en) * | 2022-03-03 | 2023-09-07 | 北京工业大学 | Composite sewage denitrification process device and operation parameter optimization method |
CN219009958U (en) * | 2022-11-18 | 2023-05-12 | 世韩(天津)节能环保科技有限公司 | Rectification deamination system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107511056B (en) | Water quality regulation and control method for limestone-gypsum wet desulphurization system | |
KR101889510B1 (en) | Method of estimating coagulant injection rate in water treatment using deep neural network | |
CN111320246A (en) | Coagulant intelligent accurate adding control system based on multivariable control | |
CN115793471A (en) | Adjustable control method and system based on sewage treatment monitoring | |
CN114713381A (en) | Flotation intelligent dosing system and dosing method based on flotation tailing pulp detection | |
CN113636723A (en) | Dephosphorization of handling domestic sewage adds medicine automated control system | |
CN112132700A (en) | Formula decision method for regulating and controlling water quality | |
CN112462700B (en) | Intelligent chemical water working condition control system and method for power plant | |
US20100282679A1 (en) | Advanced control method for a membrane filtration unit, and device for implementing the method | |
CN117003324A (en) | Artificial intelligent control method and system for ammonia nitrogen wastewater treatment | |
CN117326751A (en) | Intelligent dosing system and method for high-fluorine wastewater treatment | |
CN113845205A (en) | High-salinity high-nitrogen sewage intelligent integrated desalting and denitrification control system | |
CN105785760B (en) | A kind of annealing furnace clean circulating water hardness automatic control system and its method | |
CN202246215U (en) | Secondary chlorination system based on real-time feedback | |
CN109186272A (en) | Sintered compound feed bin level control system and method | |
JP3150182B2 (en) | Method for controlling injection amount of sodium carbonate in softening treatment of calcium-containing treated water of fluorine-containing wastewater and fluorine removing device | |
CN110937616B (en) | Intelligent setting system and method for alumina evaporation process | |
US5023803A (en) | Process to control the addition of carbonate to electrolytic cell brine systems | |
CN207827904U (en) | A kind of waste water deaminizing system based on membrane contactor | |
CN110745967A (en) | Sewage treatment system and method capable of self-adapting to sewage inflow | |
CN215048769U (en) | In-furnace dosing control system | |
CN114488775B (en) | Control method and device for pulping process of suspension roasting product | |
CN117548053B (en) | Adjustable reaction kettle, control method thereof and related equipment | |
CN117472108A (en) | Automatic slurry supply intelligent control method based on pH predicted value | |
CN210559447U (en) | Self-adaptive dosing flow adjusting device based on control backflow |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |