CN113943045A - System and method for removing ammonia nitrogen and total nitrogen in medical product wastewater based on Internet of things - Google Patents
System and method for removing ammonia nitrogen and total nitrogen in medical product wastewater based on Internet of things Download PDFInfo
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- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/006—Regulation methods for biological treatment
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- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
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- 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
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- C02F2209/08—Chemical Oxygen Demand [COD]; Biological Oxygen Demand [BOD]
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Abstract
The invention discloses a system for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things, which comprises: a biochemical treatment tank; the detection terminal is used for collecting water quality data of wastewater in the pool in real time; the control terminal is used for acquiring and transmitting water quality data; the system comprises an Internet of things platform, a control module and a control module, wherein the Internet of things platform is used for acquiring and calculating water quality data to obtain a control instruction; the user terminal is used for acquiring and generating a control instruction; and the adjusting device is used for making corresponding adjusting measures according to the control instruction. The system for removing the ammonia nitrogen total nitrogen in the medical supply wastewater based on the Internet of things is matched with the Internet of things technology on the basis of the original sewage treatment tank, and achieves the purposes of reducing manual interference and reducing personnel cost through real-time detection and automatic control or manual remote control, and further achieves the purposes of low construction cost, low operation cost and stable standard discharge through digital automatic operation and accurate control treatment.
Description
Technical Field
The invention relates to the field of sewage treatment, in particular to a system and a method for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things.
Background
At present, AAO (Anaerobic-Anoxic-aerobic) process (A2/O process, Anaerobic-Anoxic-aerobic) is largely adopted in the current mainstream process of sewage treatment in China, and has the effect of synchronously removing nitrogen and phosphorus, and the process flow is as follows: the sewage and the return sludge enter an anaerobic tank to be completely mixed, and after anaerobic decomposition for a certain time, part of Biochemical Oxygen Demand (BOD) is removed, so that part of nitrogen-containing compounds are converted into N2 (denitrification) to be released, and phosphorus is released by phosphorus accumulating microorganisms (phosphorus accumulating bacteria and the like) in the return sludge, thereby meeting the requirement of bacteria on phosphorus. Then the sewage flows into the anoxic tank, the denitrifying bacteria in the tank take carbon-containing organic matters in the sewage as carbon sources, and nitrate radicals flowing back through internal circulation in the aerobic tank are reduced into N2 to be released. Then, sewage flows into an aerobic tank, NH3-N (ammonia nitrogen) in the sewage is subjected to nitration reaction to generate nitrate radicals, organic matters in the sewage are oxidized and decomposed to supply energy to phosphorus-absorbing microorganisms, the microorganisms absorb phosphorus from the water, the phosphorus enters cell tissues and is enriched in the microorganisms, and the phosphorus-rich sludge is separated by a sedimentation tank and then is discharged from the system in the form of phosphorus-rich sludge. The process has the functions of removing organic matters, nitrogen and phosphorus through organic matching of three different environmental conditions of anaerobic, anoxic and aerobic and microbial flora species.
Above-mentioned efficiency of getting rid of AAO technology is higher for traditional AO technology's efficiency of getting rid of, and treatment cost is low, but this technology investment equipment cost earlier stage is higher, and requires highly to engineering construction personnel, equipment operation personnel, needs the long-time control quality of water of operation personnel, in time handles sewage, if handle untimely, and improper operation leads to out water effect unstability easily.
Disclosure of Invention
The invention mainly aims to provide a system and a method for removing ammonia nitrogen and total nitrogen in medical product wastewater based on the Internet of things, and aims to solve the technical problem that in the existing sewage treatment, operators need to monitor the water quality for a long time, and the operation of timely treating the sewage is inconvenient.
In order to achieve the purpose, the system for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the internet of things provided by the invention comprises the following components:
a biochemical treatment tank;
the detection terminal is arranged in the biochemical treatment tank and is used for collecting water quality data of wastewater in the tank in real time;
the control terminal is connected with the detection terminal and used for acquiring and transmitting water quality data of the detection terminal;
the Internet of things platform is in wireless connection with the control terminal and is used for acquiring and calculating water quality data uploaded by the control terminal to obtain a corresponding control instruction;
The user terminal is in wireless connection with the Internet of things platform and is used for acquiring and displaying water quality data and generating a control instruction;
and the adjusting device is connected with the control terminal and used for acquiring a control instruction of the Internet of things platform or a control instruction of the user terminal through the control terminal and making corresponding adjusting measures according to the control instruction or the control instruction.
Furthermore, aerobic denitrifying bacteria are put into the biochemical treatment tank.
Further, detection terminal and control terminal pass through RS485 communication line and are connected, detection terminal includes PH sensor, dissolved oxygen sensor, COD sensor, ammonia nitrogen sensor, nitrate sensor.
Furthermore, the control terminal is connected with the platform of the Internet of things through a 4G wireless network, and the control terminal comprises a network relay, a data preprocessing module, a wireless transmission module and a power supply module.
Further, the adjusting device is arranged in the biochemical treatment tank and comprises aeration equipment and throwing equipment.
Further, in order to achieve the purpose, the invention also provides a method for removing ammonia nitrogen total nitrogen in medical supply wastewater based on the Internet of things, which comprises the following steps:
Putting denitrifying bacteria into the biochemical treatment tank;
collecting water quality data of wastewater in real time, and preprocessing the water quality data;
uploading the water quality data to an Internet of things platform, comparing the water quality data with preset conditions, obtaining a starting instruction if the preset conditions are not met, and acquiring the starting instruction and making corresponding adjusting measures by an adjusting device;
and if the water quality data meet the preset conditions, a stop instruction is obtained, and the regulating device acquires the stop instruction and makes corresponding regulating measures.
Further, upload quality of water data to thing networking platform, and through comparing with preset condition, if unsatisfied preset condition, then reachs the start instruction, and adjusting device obtains the start instruction and makes corresponding regulation measure's step includes:
and uploading the water quality data to an Internet of things platform, comparing the water quality data with a preset condition, and if the sum of the nitrate nitrogen and the ammonia nitrogen in the water quality data is higher than 12, obtaining a control instruction for starting the adjusting device, and starting the adjusting device to operate after obtaining the start instruction.
Further, if the water quality data meets the preset conditions, a stop instruction is obtained, and the step of obtaining the stop instruction and making corresponding adjustment measures by the adjusting device comprises the following steps:
And if the sum of the nitrate nitrogen and the ammonia nitrogen in the water quality data is less than or equal to 12, obtaining a control instruction for stopping the adjusting device, and stopping the operation of the adjusting device after the adjusting device obtains the stop instruction.
Further, the adjusting device comprises an aeration device and a throwing device.
Further, the step of collecting the water quality data of the wastewater in real time and preprocessing the water quality data comprises:
the method comprises the steps of collecting water quality data of wastewater in real time through a plurality of sensors, preprocessing the water quality data, wherein the preprocessing comprises timestamp inspection, data judgment, error data deletion and missing data supplement, the preprocessed water quality data are pHc, DOc, CODc, NH3-Nc and NO3c, and the water quality data are transmitted to an Internet of things platform through a wireless network.
The system for removing the ammonia nitrogen and the total nitrogen in the medical supply wastewater based on the Internet of things is matched with the Internet of things technology on the basis of the original sewage treatment tank, and achieves the purposes of reducing manual interference and reducing personnel cost through real-time detection and automatic control or manual remote control, and further achieves the purposes of low construction cost, low operation cost and stable standard discharge through digital automatic operation and accurate control treatment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a system for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the internet of things according to a first embodiment of the invention;
FIG. 2 is a schematic flow chart of a method for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things in the second embodiment of the invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture, and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, if the meaning of "and/or" and/or "appears throughout, the meaning includes three parallel schemes, for example," A and/or B "includes scheme A, or scheme B, or a scheme satisfying both schemes A and B. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
The removal efficiency of the existing AAO process is higher than that of the traditional A/O process, the treatment cost is low, but the process is higher in early-stage investment equipment cost, high in requirements on engineering construction personnel and equipment operators, the operators are required to monitor the water quality for a long time and treat the sewage in time, and if the treatment is not timely, the operation is not proper, so that the effluent effect is unstable.
The invention mainly aims to provide a system and a method for removing ammonia nitrogen and total nitrogen in medical product wastewater based on the Internet of things, and aims to solve the technical problem that in the existing sewage treatment, operators need to monitor the water quality for a long time, and the operation of timely treating the sewage is inconvenient.
Example one
Referring to fig. 1, the system for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the internet of things according to the technical scheme is used for treating the medical supply wastewater, and comprises:
a biochemical treatment tank;
the detection terminal is arranged in the biochemical treatment tank and is used for collecting water quality data of wastewater in the tank in real time;
the control terminal is connected with the detection terminal and used for acquiring and transmitting water quality data of the detection terminal;
the Internet of things platform is in wireless connection with the control terminal and is used for acquiring and calculating water quality data uploaded by the control terminal to obtain a corresponding control instruction;
The user terminal is in wireless connection with the Internet of things platform and is used for acquiring and displaying water quality data and generating a control instruction;
and the adjusting device is connected with the control terminal and used for acquiring a control instruction of the Internet of things platform or a control instruction of the user terminal through the control terminal and making corresponding adjusting measures according to the control instruction or the control instruction.
In the implementation, the detection terminal is connected with the control terminal through an RS485 communication line for communication; the control terminal is connected with the Internet of things platform in a wireless transmission mode for communication, and the wireless transmission mode comprises but is not limited to a 4G or WIFI wireless local area network; the user terminal and the Internet of things platform are also connected through a 4G or WIFI wireless local area network for communication.
The system for removing the ammonia nitrogen and the total nitrogen in the medical supply wastewater based on the Internet of things is matched with the Internet of things technology on the basis of the original sewage treatment tank, and achieves the purposes of reducing manual interference and reducing personnel cost through real-time detection and automatic control or manual remote control, and further achieves the purposes of low construction cost, low operation cost and stable standard discharge through digital automatic operation and accurate control treatment.
Furthermore, aerobic denitrifying bacteria are put into the biochemical treatment tank. In this embodiment, the aerobic denitrifying bacteria are pure cultured aerobic denitrifying bacteria from the company, ecological agricultural science and technology, llc, of the corner. Since the aerobic denitrifying bacteria in the foreign countries in the market are only suitable for low-concentration nitrate wastewater, and the concentration of nitrate nitrogen is generally suitable to be lower than 5mg/L, the aerobic denitrifying bacteria cannot treat high-concentration nitrate nitrogen. In the embodiment, the aerobic denitrifying bacteria which are purely cultured by the company are suitable for the high-concentration nitrate nitrogen industrial wastewater, and the highest tolerable nitrate nitrogen concentration is 3680mg/L, so the aerobic denitrifying bacteria are adopted, and the treatment system is stable, the load is high, and the application range is wider.
Further, the detection terminal comprises a PH sensor, a dissolved oxygen sensor, a COD sensor, an ammonia nitrogen sensor and a nitrate sensor, wherein the PH sensor is used for detecting the PH concentration in the wastewater, the dissolved oxygen sensor is used for detecting the dissolved oxygen concentration in the wastewater, the COD sensor is used for detecting the COD concentration in the wastewater, the ammonia nitrogen sensor is used for detecting the ammonia nitrogen concentration in the wastewater, and the nitrate sensor is used for detecting the concentrations of nitrate and nitrite in the wastewater.
Furthermore, the control terminal is connected with the platform of the Internet of things through a 4G wireless network, and the control terminal comprises a network relay, a data preprocessing module, a wireless transmission module and a power supply module. The input end of the data preprocessing module is connected with the plurality of sensors of the detection terminal through an RS485 communication line, the output end of the data preprocessing module is connected with the input end of the network relay, the output end of the network relay is connected with the input end of the wireless transmission module, and the output end of the wireless transmission module is connected with the Internet of things platform. In addition, the network relay is also provided with a control end, the control end is connected with the adjusting device, and in this embodiment, the power module is used for providing a working power supply for the network relay and the data preprocessing module.
It should be understood that the network relay is an electric control device, and is an electric appliance which generates a predetermined step change of a controlled quantity in an electric output circuit when a change of an input quantity meets a specified requirement. It has an interactive relationship between the control system and the controlled system. It is commonly used in automated control circuits, which are actually a "recloser" that uses low current to control high current operation. Therefore, the circuit plays the roles of automatic regulation, safety protection, circuit conversion and the like. In the embodiment, the network relay is connected with the adjusting device through a wire and used for starting or disconnecting the power utilization circuit of the adjusting device.
The data preprocessing module is used for preprocessing the water quality data of the sensors, the preprocessing comprises timestamp inspection, data judgment, error data deletion and missing data supplement, the preprocessed water quality data pHc, DOc, CODc, NH3-Nc and NO3c are obtained, the cleaned water quality data are more effective and ordered, the format is unified, the data are more suitable for analyzing and counting of existing computing equipment, the cleaned water quality data are sent to the network relay, and the network relay sends the data to the Internet of things platform through the wireless transmission module.
Because the Internet of things platform and the user terminal are transmitted through a wireless network, operation and maintenance managers can check the current water quality condition in the biochemical treatment tank in real time through the user terminal such as a mobile phone or a computer.
Further, the adjusting device is arranged in the biochemical treatment tank and comprises aeration equipment and throwing equipment. In the implementation, the aeration device adopts an aerator which is used for supplying oxygen to the biochemical treatment tank to improve the oxygen content, is arranged at the bottom of the biochemical treatment tank, is connected with a network relay through an electric wire and is controlled by the network relay. The feeding device adopts a doser which is used for feeding carbon sources including but not limited to carbon sources such as methanol, glucose and the like into the biochemical treatment tank. Nitrate is reduced to N2 and released by adding carbon source to biochemical treating pond, and under anaerobic condition, denitrifying bacteria in the pond use the added methanol or glucose in waste water as carbon source.
The working principle is as follows: when the system for removing total nitrogen in ammonia nitrogen works, the medical article wastewater is introduced into a biochemical treatment tank, and then aerobic denitrifying bacteria are added into the tank. Because the system is provided with the throwing equipment, the throwing equipment can be controlled by the Internet of things platform to throw the carbon source into the pool. In the reaction process, the water quality condition is detected in real time by a plurality of sensors in the pool, the water quality data can be sent to the Internet of things platform through the network relay and the wireless transmission module, and the operation and maintenance manager can check the water quality data in the biochemical treatment pool on the user terminal in real time and make corresponding adjustment in time. When the sum of certain index in the biochemical treatment tank, such as nitrate nitrogen and ammonia nitrogen, is lower than 12, the platform of the Internet of things automatically generates a control instruction, and the aeration equipment stops aeration by receiving the control instruction. After stopping aeration for a period of time, standing and precipitating in the tank to form supernatant, and discharging the supernatant to finish denitrification.
Example two
Referring to fig. 2, the present embodiment provides a method for removing total ammonia nitrogen in medical supply wastewater based on the internet of things, based on the system for removing total ammonia nitrogen in medical supply wastewater in the first embodiment, where the method is used for treating medical supply wastewater, and the method includes the following steps:
S10: putting denitrifying bacteria into the biochemical treatment tank;
s20: collecting water quality data of wastewater in real time, and preprocessing the water quality data;
s30: uploading the water quality data to an Internet of things platform, comparing the water quality data with preset conditions, obtaining a starting instruction if the preset conditions are not met, and acquiring the starting instruction and making corresponding adjusting measures by an adjusting device;
s40: and if the water quality data meet the preset conditions, a stop instruction is obtained, and the regulating device acquires the stop instruction and makes corresponding regulating measures.
In this embodiment, the denitrifying bacteria are aerobic denitrifying bacteria.
Further, the S20: the method comprises the following steps of collecting water quality data of wastewater in real time, and preprocessing the water quality data:
the water quality data of waste water is collected in real time through a plurality of sensors, and is right the water quality data is pretreated, a plurality of sensors include a PH sensor, a dissolved oxygen sensor, a COD sensor, an ammonia nitrogen sensor and a nitrate sensor. The pretreatment comprises timestamp inspection, data judgment, error data deletion and missing data supplement, the water quality data pHc, DOc, CODc, NH3-Nc and NO3c after the pretreatment is obtained, the water quality data after the pretreatment is more effective, ordered and uniform in format, the water quality data after the pretreatment is more suitable for analysis and statistics of the existing computing equipment, and the water quality data after the pretreatment is transmitted to the Internet of things platform through a wireless network.
Further, the S30: uploading the water quality data to the Internet of things platform, comparing the water quality data with preset conditions, obtaining a starting instruction if the preset conditions are not met, and acquiring the starting instruction and making corresponding adjusting measures by an adjusting device, wherein the adjusting device comprises the following steps:
and uploading the water quality data to an Internet of things platform, comparing the water quality data with a preset condition, and if the sum of the nitrate nitrogen and the ammonia nitrogen in the water quality data is higher than 12, obtaining a control instruction for starting the adjusting device, and starting the adjusting device to operate after obtaining the start instruction.
Further, if the water quality data meets the preset conditions, a stop instruction is obtained, and the step of obtaining the stop instruction and making corresponding adjustment measures by the adjusting device comprises the following steps:
and if the sum of the nitrate nitrogen and the ammonia nitrogen in the water quality data is less than or equal to 12, obtaining a control instruction for stopping the adjusting device, and stopping the operation of the adjusting device after the adjusting device obtains the stop instruction.
Further, the adjusting device comprises an aeration device and a feeding device, wherein the aeration device adopts an aerator and is used for supplementing oxygen to the biochemical treatment tank to improve the oxygen content; the feeding device adopts a doser which is used for feeding carbon sources including but not limited to carbon sources such as methanol, glucose and the like into the biochemical treatment tank.
According to the method for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things, water quality data of a biochemical treatment tank are collected through a plurality of sensors, water quality data pHc, DOc, CODc, NH3-Nc and NO3c after cleaning are obtained after pretreatment, the water quality data are transmitted to an Internet of things platform through a wireless network, and the Internet of things platform transmits the water quality data to a user terminal, so that operation and maintenance managers can conveniently master the water quality data and the change condition of the biochemical treatment tank in time and make corresponding adjustment in time. When the water quality data meets the preset conditions, for example, the sum of the nitrate nitrogen and the ammonia nitrogen is less than or equal to 12, a control instruction for stopping the aeration equipment is obtained, the aeration equipment stops running after obtaining the stop instruction, then the biochemical treatment tank stands and precipitates for half an hour to form supernatant, and the denitrification work is finished by discharging the supernatant.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. The utility model provides a get rid of total nitrogen system of medical supplies waste water ammonia nitrogen based on thing networking which characterized in that includes:
a biochemical treatment tank;
the detection terminal is arranged in the biochemical treatment tank and is used for collecting water quality data of wastewater in the tank in real time;
the control terminal is connected with the detection terminal and used for acquiring and transmitting water quality data of the detection terminal;
the Internet of things platform is in wireless connection with the control terminal and is used for acquiring and calculating water quality data uploaded by the control terminal to obtain a corresponding control instruction;
the user terminal is in wireless connection with the Internet of things platform and is used for acquiring and displaying water quality data and generating a control instruction;
and the adjusting device is connected with the control terminal and used for acquiring a control instruction of the Internet of things platform or a control instruction of the user terminal through the control terminal and making corresponding adjusting measures according to the control instruction or the control instruction.
2. The system for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things according to claim 1, wherein aerobic denitrifying bacteria are put into the biochemical treatment tank.
3. The system for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the internet of things according to claim 1, wherein the detection terminal is connected with the control terminal through an RS485 communication line, and the detection terminal comprises a PH sensor, a dissolved oxygen sensor, a COD sensor, an ammonia nitrogen sensor and a nitrate sensor.
4. The system for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the internet of things according to claim 1, wherein the control terminal is connected with the platform of the internet of things through a 4G wireless network and comprises a network relay, a data preprocessing module, a wireless transmission module and a power supply module.
5. The system for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things according to claim 1, wherein the adjusting device is arranged in a biochemical treatment tank and comprises aeration equipment and feeding equipment.
6. A method for removing ammonia nitrogen total nitrogen in medical supply wastewater based on the Internet of things is characterized by comprising the following steps:
putting denitrifying bacteria into the biochemical treatment tank;
collecting water quality data of wastewater in real time, and preprocessing the water quality data;
uploading the water quality data to an Internet of things platform, comparing the water quality data with preset conditions, obtaining a starting instruction if the preset conditions are not met, and acquiring the starting instruction and making corresponding adjusting measures by an adjusting device;
and if the water quality data meet the preset conditions, a stop instruction is obtained, and the regulating device acquires the stop instruction and makes corresponding regulating measures.
7. The method for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things according to claim 6, wherein the step of uploading water quality data to an Internet of things platform, comparing the water quality data with preset conditions, and if the preset conditions are not met, obtaining a starting instruction, and the step of obtaining the starting instruction and making corresponding regulating measures by a regulating device comprises the following steps:
and uploading the water quality data to an Internet of things platform, comparing the water quality data with a preset condition, and if the sum of the nitrate nitrogen and the ammonia nitrogen in the water quality data is higher than 12, obtaining a control instruction for starting the adjusting device, and starting the adjusting device to operate after obtaining the start instruction.
8. The method for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things according to claim 6, wherein if the water quality data meets preset conditions, a stop instruction is obtained, and the step of obtaining the stop instruction and making corresponding adjustment measures by the adjusting device comprises the following steps of:
and if the sum of the nitrate nitrogen and the ammonia nitrogen in the water quality data is less than or equal to 12, obtaining a control instruction for stopping the adjusting device, and stopping the operation of the adjusting device after the adjusting device obtains the stop instruction.
9. The method for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things according to any one of claims 6-8, wherein the adjusting device comprises aeration equipment and throwing equipment.
10. The method for removing ammonia nitrogen and total nitrogen in medical supply wastewater based on the Internet of things according to claim 6, wherein the step of collecting the water quality data of the wastewater in real time and preprocessing the water quality data comprises the following steps:
the method comprises the steps of collecting water quality data of wastewater in real time through a plurality of sensors, preprocessing the water quality data, wherein the preprocessing comprises timestamp inspection, data judgment, error data deletion and missing data supplement, the preprocessed water quality data are pHc, DOc, CODc, NH3-Nc and NO3c, and the water quality data are transmitted to an Internet of things platform through a wireless network.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110255808A (en) * | 2019-05-09 | 2019-09-20 | 深圳市君脉膜科技有限公司 | The sewage disposal system being integrated based on Internet of Things and artificial intelligence |
| CN210711153U (en) * | 2019-08-02 | 2020-06-09 | 中国铁路设计集团有限公司 | Intelligent sewage treatment plant of thing networking |
| CN112964843A (en) * | 2021-01-26 | 2021-06-15 | 清华大学 | Internet of things sensor system for monitoring water quality of sewage treatment facility and monitoring method |
| CN113321303A (en) * | 2021-06-16 | 2021-08-31 | 浙江一谦生态农业科技有限责任公司 | Method for efficiently removing ammonia nitrogen and total nitrogen in wastewater by using denitrifying bacteria |
-
2021
- 2021-11-26 CN CN202111422569.3A patent/CN113943045A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110255808A (en) * | 2019-05-09 | 2019-09-20 | 深圳市君脉膜科技有限公司 | The sewage disposal system being integrated based on Internet of Things and artificial intelligence |
| CN210711153U (en) * | 2019-08-02 | 2020-06-09 | 中国铁路设计集团有限公司 | Intelligent sewage treatment plant of thing networking |
| CN112964843A (en) * | 2021-01-26 | 2021-06-15 | 清华大学 | Internet of things sensor system for monitoring water quality of sewage treatment facility and monitoring method |
| CN113321303A (en) * | 2021-06-16 | 2021-08-31 | 浙江一谦生态农业科技有限责任公司 | Method for efficiently removing ammonia nitrogen and total nitrogen in wastewater by using denitrifying bacteria |
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