CN106647552A - Sewage treatment monitoring system - Google Patents
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- CN106647552A CN106647552A CN201510716295.7A CN201510716295A CN106647552A CN 106647552 A CN106647552 A CN 106647552A CN 201510716295 A CN201510716295 A CN 201510716295A CN 106647552 A CN106647552 A CN 106647552A
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- 239000010865 sewage Substances 0.000 title claims abstract description 215
- 238000012544 monitoring process Methods 0.000 title claims abstract description 127
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 142
- 230000002159 abnormal effect Effects 0.000 claims abstract description 38
- 230000005856 abnormality Effects 0.000 claims abstract description 12
- 239000010802 sludge Substances 0.000 claims description 47
- 238000000034 method Methods 0.000 claims description 19
- 239000002351 wastewater Substances 0.000 claims description 13
- 238000004065 wastewater treatment Methods 0.000 claims description 12
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 6
- 229910052760 oxygen Inorganic materials 0.000 claims description 6
- 239000001301 oxygen Substances 0.000 claims description 6
- 239000002245 particle Substances 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 description 9
- 238000001514 detection method Methods 0.000 description 7
- 230000003647 oxidation Effects 0.000 description 6
- 238000007254 oxidation reaction Methods 0.000 description 6
- 238000004659 sterilization and disinfection Methods 0.000 description 6
- 230000005484 gravity Effects 0.000 description 5
- 239000010813 municipal solid waste Substances 0.000 description 5
- 238000004062 sedimentation Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000002156 mixing Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 239000004576 sand Substances 0.000 description 4
- 239000010842 industrial wastewater Substances 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000003750 conditioning effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000005276 aerator Methods 0.000 description 1
- 244000052616 bacterial pathogen Species 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005238 degreasing Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 239000010840 domestic wastewater Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- -1 for example Substances 0.000 description 1
- 229910001385 heavy metal Inorganic materials 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000007769 metal material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006864 oxidative decomposition reaction Methods 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 230000001376 precipitating effect Effects 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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- 230000002588 toxic effect Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
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Abstract
The invention discloses a sewage treatment monitoring system comprising a sewage treatment system and a cloud side monitoring platform. The sewage treatment system comprises multiple sewage treatment units. A water level data monitor, an equipment data monitor and a water quality data monitor are arranged so as to monitor the water level height data, the operation state data and the water quality monitoring data in the sewage treatment units. The data are monitored in real time to be uploaded to the database of the cloud side monitoring platform to be compared with the water level critical value, the equipment abnormal condition and the water quality continuous monitoring data stored in the intelligent database to judge abnormality of the sewage treatment system so that abnormality information is emitted to notify operation personnel to perform proper treatment or adjustment.
Description
Technical Field
The invention relates to a sewage treatment monitoring system, in particular to an intelligent monitoring system which utilizes sensing equipment to monitor the operation of the sewage treatment system in real time, compares the monitored data with data stored in a cloud monitoring platform and judges whether the sewage treatment system is abnormal or not.
Background
Most of known sewage treatment systems have the following basic treatment steps, such as intercepting garbage foreign matters, standing sewage to precipitate silt, performing oxidative decomposition or adding medicaments for disinfection and the like, so that industrial wastewater or household wastewater is discharged to the external environment after being treated, and pollutants or germs in the industrial wastewater are prevented from damaging water resources in natural ecology. However, the treatment complexity and requirements vary depending on the type of waste water, for example, industrial waste water may require treatment of heavy metal materials or toxic residues, and domestic waste water may require more organic decomposition treatment. These all affect the quality of the final discharge. Most of the conventional sewage treatment systems perform periodical sampling of the state of the relevant equipment or storage tank, or perform periodical detection of the water quality at the discharge port to ensure that the discharge standard is met. However, such a monitoring method is often not real-time enough, and if the water quality is in a problem, when the abnormality is detected, the sewage discharged during the period before the detection may be polluted and not repaired.
In addition, in consideration of the resource allocation and cost of human resources, each sewage treatment system is not easy to set specific personnel for continuous monitoring, so that corresponding operators can be found or relevant adjustment can be carried out after the abnormality occurs for a period of time. The experience of operators is unpredictable, the inspection is not reliable due to the fact that the operators are lazy and careless, or excessive medicaments are input to reach the discharge standard, and the like, which are problems often faced by the existing control sewage treatment system.
In view of this, how to design a real-time monitoring sewage treatment system, when mileage sequences of various sewage locations are performed, the state of the sewage treatment system can be monitored in real time and continuously, the quality of discharged water can be ensured to meet the discharge standard, and meanwhile, the operation efficiency can be improved to reduce unnecessary waste of labor cost, which is an important technology required by sewage treatment manufacturers. Therefore, the inventor of the present invention thinks and designs a sewage treatment monitoring system, which improves the deficiency of the prior art, and further improves the industrial application.
Disclosure of Invention
In view of the above problems in the prior art, an object of the present invention is to provide a sewage treatment monitoring system, so as to solve the problems that the sewage treatment system cannot be monitored in real time and the occurrence of an abnormality cannot be known in advance by comparing with known data.
According to an aspect of the present invention, a sewage treatment monitoring system is provided, which includes a sewage treatment system and a cloud monitoring platform. Wherein, sewage treatment system contains a plurality of sewage treatment unit, water level data monitor, equipment data monitor and quality of water data monitor. The plurality of sewage treatment units are respectively provided with sewage accommodating spaces which are connected with each other through sewage pipelines. Sewage to be treated flows into the sewage treatment system through the inflow pipeline, and is discharged through the discharge pipeline after a sewage treatment procedure is carried out by using sewage treatment equipment arranged corresponding to the sewage containing space. The water level data monitor is arranged in a preset sewage containing space and used for monitoring water level height data of sewage in the sewage containing space. The equipment data monitor is connected with the sewage treatment equipment and used for monitoring the operation state data of the sewage treatment equipment. The water quality data monitor is arranged in a plurality of preset sewage treatment units and used for detecting water quality monitoring data of sewage in the corresponding sewage containing space. The cloud monitoring platform is connected with the sewage treatment system in an internet online mode. The cloud monitoring platform comprises a data database, an intelligent database and a processor. The data database stores water level height data, operation state data and water quality monitoring data uploaded by the water level data monitor, the equipment data monitor and the water quality data monitor. The intelligent database is connected with the data database, stores the water quality continuous monitoring data of the historical data of the sewage treatment system, and stores the water level critical value and the abnormal condition of the equipment set by a user. The processor is connected with the data database and the intelligent database, compares the water level height data with the water level critical value, the operation state data with the equipment abnormal condition and the water quality monitoring data with the water quality continuous monitoring data in real time, and transmits abnormal information to an operator when the comparison result is abnormal.
Preferably, the sewage accommodating space may include a sewage treatment tank, a sewage storage tank, or a sewage treatment channel.
Preferably, the sewage treatment system may further comprise a monitoring data collector connected to the water level data monitor, the equipment data monitor and the water quality data monitor through the internet of things, receiving the water level height data, the operation state data and the water quality monitoring data, and uploading the data to the data database through the internet.
Preferably, the water quality monitoring data may include temperature, conductivity, ph, dissolved oxygen, and suspended particle amount.
Preferably, the water quality continuous monitoring data can continuously record the water quality monitoring data detected by the water quality data monitor according to a time interval, and subtract the detected invalid data and lost data and store the data in the intelligent database.
Preferably, the processor may compare the correlation between the water quality monitoring data and the water quality continuous monitoring data, and determine whether the water quality monitoring data is in an abnormal state by calculating a difference value between the water quality monitoring data and the water quality continuous monitoring data and evaluating variability of the difference value.
Preferably, the sewage treatment system may include a plurality of sludge treatment units each having a sludge accommodating space, the sludge accommodating spaces being interconnected by sludge lines. The sludge produced by the sewage treatment units is treated by the sludge treatment equipment arranged corresponding to the sludge containing space, the treated sludge is discarded, and the produced wastewater flows back to the sewage treatment system again to be treated by the sewage treatment program.
Preferably, the sludge containing space can be provided with a water level data monitor for monitoring the water level height data of the sludge in the sludge containing space and uploading the water level height data to the data database.
Preferably, the sludge treatment equipment can be provided with an equipment data monitor, the operation state data of the sludge treatment equipment is monitored, and the operation state data is uploaded to the data base.
Preferably, the cloud monitoring platform may further include a control instruction database, and when the real-time comparison result is abnormal, the processor transmits a corresponding control instruction in the control instruction database to the abnormal sewage treatment device, and directly adjusts the operating parameters of the sewage treatment device to adjust the operating state.
In view of the above, the sewage treatment monitoring system according to the present invention may have one or more of the following advantages:
(1) this sewage treatment monitored control system can utilize water level data monitor, equipment data monitor and quality of water data monitor real-time supervision sewage treatment system's processing state to upload data to high in the clouds monitoring platform, let the user carry out real time monitoring to sewage treatment system, reduce abnormal state emergence time, improve the efficiency of handling the meeting an emergency.
(2) The sewage treatment monitoring system can judge whether the sewage level, the equipment state and the sewage quality in the sewage treatment system are abnormally changed or not by comparing the real-time monitoring data with the water level critical value, the equipment abnormal condition and the water quality continuous monitoring data stored in the intelligent database, provide warning of abnormal information, take strain measures as soon as possible and continuously maintain the normal operation state of the sewage treatment system.
(3) The sewage treatment monitoring system can directly adjust the parameters of the sewage treatment equipment by using the control instructions when an abnormality occurs, solve the abnormal problem in real time, avoid manual operation from carrying out excessive adjustment and reduce the waste of the whole manpower and equipment resources.
Drawings
FIG. 1 is a schematic view of a wastewater treatment monitoring system of the present invention.
Fig. 2 is a schematic view of a sewage treatment system according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a water quality monitor arrangement according to an embodiment of the invention.
Detailed Description
For the purpose of facilitating the examination of the technical features, contents, advantages and effects achieved by the present invention, the present invention will now be described in detail by referring to the accompanying drawings in the form of embodiments, wherein the drawings are used for illustration and assistance of the specification, and are not necessarily the actual proportion and precise configuration of the present invention after the implementation, and therefore, the proportion and the configuration relationship of the drawings should not be read and the scope of the right of the present invention in the actual implementation should not be limited.
Please refer to fig. 1, which is a schematic diagram of a sewage treatment monitoring system according to the present invention. As shown, the sewage treatment monitoring system includes a sewage treatment system 10 and a cloud monitoring platform 20, which are connected to each other through a wired or wireless internet connection. The sewage treatment system 10 can be a large sewage treatment plant in each region, a small sewage treatment plant in a residential community, or a sewage treatment facility of a factory, etc., and the embodiment is described by taking a single sewage treatment system 10 as an example, but the sewage treatment monitoring system can also allow the cloud monitoring platform 20 to be connected to a plurality of sewage treatment systems at the same time for real-time monitoring. The sewage to be treated flows in from the inlet 15 through the inlet pipe 17, and is guided to the outlet 16 through the outlet pipe 19 after a plurality of treatment procedures. The sewage treatment system 10 is provided with a first sewage treatment unit 11, a second sewage treatment unit 12 and a third sewage treatment unit 13, each of which performs different sewage treatment processes, such as filtering or precipitating foreign matters in sewage, oxidatively decomposing organic matters, adding chemicals for disinfection, and the like. The sewage treatment procedure is executed in a mode that respective sewage containing spaces are arranged, and after sewage enters the sewage containing spaces, the corresponding treatment equipment executes the sewage treatment procedure. In the embodiment, the first sewage treatment unit 11 includes a first sewage receiving space 11a and a first sewage treatment facility 11b, the second sewage treatment unit 12 includes a second sewage receiving space 12a and a second sewage treatment facility 12b, and the third sewage treatment unit 13 includes a third sewage receiving space 13a and a third sewage treatment facility 13b, which are connected by a sewage pipeline 18. The sewage housing space described herein includes a sewage treatment tank, a sewage storage tank, a sewage treatment channel, or the like, which is set according to the demand situation of the treatment process, and thus, sewage treatment systems of various demands or different scales may include different numbers of sewage treatment units, the number of which is not limited to the three sewage treatment units described in the present embodiment.
In the above-mentioned sewage treatment system 10, the related sensors are disposed in the respective sewage treatment units to monitor the sewage treatment, and as shown in fig. 1, the first sewage treatment unit 11 includes a first water level data monitor 111, a first equipment data monitor 112 and a first water quality data monitor 113. The first water level data monitor 111 and the first water quality data monitor 113 are disposed in the first sewage containing space 11a, and monitor the water level of sewage in the space and the water quality of sewage treatment, respectively, and the first equipment data monitor 112 is connected to the first sewage treatment equipment 11b, and monitors the equipment operation state of the first sewage treatment equipment 11 b. Similarly, the second sewage treatment unit 12 may also include a second water level data monitor 121, a second equipment data monitor 122 and a second water quality data monitor 123; the third sewage treatment unit 13 may include a third water level data monitor 131, a third equipment data monitor 132 and a third water quality data monitor 133. The monitors of the second and third sewage treatment units 12 and 13 may be installed in the same manner as the first sewage treatment unit 11, but the present invention is not limited thereto, and the water level data monitor and the water quality data monitor may be installed only in a default sewage treatment unit, and monitor the treatment status of a specific process, not in each sewage treatment unit. In addition, the device data monitor may not be an independent sensing device, but may also be a capturing and transmitting device, which directly captures the operation parameter data or the operation status data on the sewage treatment device, and then uploads the operation parameter data or the operation status data to the cloud monitoring platform 20.
Taking the first sewage treatment unit 11 as an example again, the water level height data, the operation state data and the water quality monitoring data monitored by the first water level data monitor 111, the first equipment data monitor 112 and the first water quality data monitor 113 can be transmitted to the data database 21 of the cloud monitoring platform 20 by using a wireless transmission method. The wireless transmission method described here uses the wireless transmission device 14 to transmit the monitoring data, and the wireless transmission device 14 can be a wireless network base station, so that each monitor can use the WiFi transmission method to connect to the internet and upload the data to the data database 21. Or the wireless transmission device 14 may also be a data collector, and is connected to the first water level data monitor 111, the first equipment data monitor 112, and the first water quality data monitor 113 through the internet of things, and after receiving and integrating each monitored data, the wireless transmission device 14 uploads the monitored data to the data database 21 together. Similarly, the second sewage treatment unit 12 and the third sewage treatment unit 13 can upload the monitoring data in the same manner.
The data database 21 of the cloud monitoring platform 20 stores the uploaded water level height data, operation state data and water quality monitoring data, and the intelligent database 22 is connected to the data database 21 and stores historical data measured by each water quality monitor into water quality continuous monitoring data, which may include continuous data of every day, every week, every month and every season, that is, data of all water quality monitoring pointers in a specific time interval. If there is abnormal monitoring data or the monitoring equipment fails to obtain correct monitoring data, the data in the time interval must be subtracted. By calculating the percentage of the effective monitoring record value, the effectiveness of the data transmission data can be checked and ensured, and the calculation mode can be calculated by the following formula.
Wherein, P is the percentage of the effective monitoring record value, T is the total time of the time interval, Du is the invalid data in the monitor, Dm is the lost data in the monitor.
After the validity of the continuous water quality monitoring data in the intelligent database 22 is ensured, the processor 23 in the cloud monitoring platform 20 may analyze the correlation between the real-time water quality monitoring data detected by the first water quality monitor 113 and the continuous water quality monitoring data in the intelligent database 22 while the first sewage treatment unit 11 is operating. The difference between the real-time water quality monitoring data and the continuous water quality monitoring data is used to calculate the characteristic values such as the arithmetic mean value, the standard deviation of the difference, the confidence coefficient, the relative accuracy checked by the relative error test, the average difference and the like, and when the characteristic values exceed the preset critical value, the abnormality of the water quality in the first sewage treatment unit 11 is judged. At this time, the processor 23 may transmit the abnormal information 201 to an operator of the sewage treatment system 10, for example, transmit a short message to a handheld device of the operator, so as to notify the first sewage treatment unit 11 that a problem occurs, and it is necessary to take appropriate measures as soon as possible to avoid the continuous deterioration of the water quality. Or abnormal information can be issued on the cloud monitoring platform, so that monitoring personnel connected with the platform can know that the water quality is abnormal, and can perform corresponding processing in real time.
Furthermore, the intelligent database 22 also stores a water level threshold and an equipment abnormal condition set by a user, when the first water level data monitor 111 in the first sewage treatment unit 11 detects that the water level of the sewage in the first sewage accommodating space 11a is higher than the highest threshold or lower than the lowest threshold, the processor 23 determines that the water level is abnormal, and gives an early warning to an operator by transmitting the abnormal information 201, so that the operator can increase or decrease the flow rate at a proper time to adjust the water level height, and the first sewage treatment equipment 11b is prevented from idling or being incapable of treating excessive water. In addition, the abnormal operation condition is monitored for the operation status of the first sewage treatment apparatus 11b, for example, the processor 23 may compare whether the continuous operation of the first sewage treatment apparatus 11b exceeds the setting in the abnormal operation condition, and when the continuous operation is monitored for more than the preset time, notify the operator to check the apparatus or consider replacing or restarting the apparatus, so as to avoid the damage to the first sewage treatment apparatus 11b due to the excessive operation. In addition, the cloud monitoring platform 20 may further include a control instruction database for storing control instructions corresponding to different situations when the abnormality occurs, and when the processor compares the abnormality and finds the abnormality, the corresponding control instructions may be directly transmitted back to the sewage treatment unit, for example, when the first sewage treatment device 11b is abnormal, the corresponding control instructions may be directly used to adjust the operating parameters of the first sewage treatment device 11b, and adjust the operating status of the machine device to avoid the continuous occurrence of the abnormality. The above-mentioned structure and monitoring method of the cloud monitoring platform 20 are also applicable to the second sewage treatment unit 12 and the third sewage treatment unit 13, so as to form an integrated sewage treatment monitoring system.
Please refer to fig. 2, which is a schematic diagram of a sewage treatment system according to an embodiment of the present invention. As shown in the figure, the sewage treatment system of the present embodiment comprises a plurality of sewage treatment units and a plurality of sludge treatment units, wherein the sewage treatment units comprise a sewage blocking tank 31, a sand settling and oil removing tank 32, a conditioning tank 33, an oxidation deep channel 34, a final sedimentation tank 35, a disinfection tank 36 and a drainage tank 37, which are connected through sewage pipelines. After sewage flows in from the inflow opening, the sewage is discharged from the discharge opening after being treated by sewage treatment equipment arranged in the sewage containing space. The above-mentioned sewage treatment units can be respectively corresponding to different sewage treatment equipments, for example, the trash holding tank 31 can be provided with a trash holding machine and a conveyor; the grit degreasing tank 32 is provided with a stirrer, a sand washer, a sand pump and a sand washing waste water pump; the mixing tank 33 comprises a stirrer and a blower; the oxidation deep channel 34 is provided with an aerator; the final sedimentation tank 35 includes a mud scraper and a scum pump; the disinfection tank 36 is provided with a water pump, a dosing machine and a deodorizer; the drainage tank 37 is provided with a water pump, and the number of the machines of the sewage treatment equipment can be adjusted according to the scale of the sewage treatment system. And each machine station equipment can be provided with an equipment data monitor for monitoring the operating state of each sewage treatment equipment in real time. The water level data monitors 31a, 32a, 36a, 37a can be selectively installed in the important trash basin 31, sand-settling oil-removing basin 32, disinfection basin 36, and drainage basin 37 to monitor the water level in the main sewage treatment process.
In addition to a plurality of sewage treatment units, the sewage treatment system may be provided with a plurality of sludge treatment units including a sludge storage tank 41, a gravity concentration tank 42, and a wastewater collection tank 43. The sludge generated in the final sedimentation tank 35 is firstly conveyed to the sludge storage tank 41 for temporary storage through a sludge pipeline, a part of the sludge is concentrated by gravity to form waste sludge, and the other part of the sludge flows back to the mixing tank 33. The wastewater generated in the sludge treatment process is collected in the wastewater collection tank 43 and returned to the oxidation deep channel 34 for the wastewater treatment process. The sludge storage tank 41 of the sludge treatment unit can comprise a feed pump, a return sludge pump, a conveyor and a dehydrator; the gravity concentration tank 42 is provided with a stirrer; the wastewater collection tank 43 is provided with sludge treatment equipment such as a water pump. Similar to the sewage treatment unit, the sludge treatment unit is also provided with an equipment data monitor at each machine equipment, and the operation state of each sludge treatment equipment is monitored in real time. The water level data monitors 41a and 43a are selectively installed in the gravity concentration tank 42 and the wastewater collection tank 43 of the sludge storage tank 41 to monitor the water level of the sludge accommodating space in the sludge treatment process.
Please refer to fig. 3, which is a schematic diagram of a water quality monitor according to an embodiment of the invention. As shown in the figure, the sewage treatment system of the present embodiment includes a plurality of sewage treatment units, such as a conditioning tank 51, an oxidation deep channel 52, a sedimentation tank 53 and a drainage tank 54, and referring to the arrangement of the previous embodiment, in addition to performing water level monitoring on the sewage containing space and performing state monitoring on the sewage treatment equipment, the quality of the sewage therein must be monitored. In this embodiment, the water quality monitors 51a, 52a, and 54a are respectively installed in the mixing tank 51, the oxidation deep channel 52, and the final discharging tank 54, and determine whether the water quality is abnormal by using the change of the sewage quality in the front, middle, and rear stages of the sewage treatment process. The position where the water quality data detector is arranged can also be arranged in other sewage treatment units according to the change of the sewage treatment system, and is not limited to the position arranged in the embodiment.
The water quality data monitors 51a, 52a, 54a can utilize sensors to detect the temperature, conductivity, pH value, dissolved oxygen and suspended particle amount of sewage respectively, the items are according to the setting conditions, such as the interval of temperature setting, the interval of pH value setting or the concentration of suspended particles, etc., the sensors obtain the monitoring record values of different conditions respectively, and then the values are uploaded to the data database of the cloud monitoring platform, the processor compares the correlation between the real-time monitoring record values and the water quality continuous monitoring data in the intelligent database, and judges whether each monitoring item is abnormal in the processed water quality.
The correlation determination may include calculating a characteristic value such as an arithmetic mean, a standard deviation of the difference, a confidence coefficient, a relative accuracy of a relative error test check, and an average difference using a difference between the real-time water quality monitoring data and the continuous water quality monitoring data. The calculation method comprises the following formulas (1) to (5):
wherein,the arithmetic mean value of the data difference between the real-time monitoring record and the water quality continuous monitoring data; diThe difference between the data of "real-time monitoring record" and "water quality continuous monitoring data"; n is the number of monitoring and recording times; sd is "real-time monitoring recordThe standard deviation of the data difference with the "" water quality continuous monitoring data ""; CC is a confidence coefficient (confidence coefficient); t is a detection value.
Examples of the actual temperature, conductivity, pH, dissolved oxygen, and suspended particle amount for water quality detection will be described below. Firstly, the temperature detection can be adjusted according to the arrangement mode of the sewage treatment unit, if the outdoor treatment tank is influenced by the sunshine period, the temperature detected in the morning and the evening has obvious difference, for example, the temperature in the daytime is maintained at about 26 ℃, the temperature is maintained at about 23 ℃ at night, the intelligent database records the change of the treatment tank every day, every week and every season, a temperature change curve is established, and when the real-time monitored temperature data obviously deviates from the curve, abnormal information is generated to inform an operator or a manager. Taking conductivity as an example, the continuous monitoring values in the middle of the treatment tank are all between 3.5 mu s/cm and 3.9 mu s/cm, the low conductivity value reflects that the pollution degree is relatively light, and if the value detected by the water quality data monitor in real time exceeds the value, or the difference between the value detected in real time and the continuous monitoring value is continuously increased, the conductivity is judged to be abnormal. Also for the detection of dissolved oxygen, pH and suspended particle amount, continuous detection data is used to establish daily change curve in intelligent database, such as dissolved oxygen of 2-7 ppm, pH of 8-10 and suspended solid of 55-72 mg/L. Therefore, when the real-time monitoring data exceeds the default critical value or the difference value with the standard is continuously expanded, the system judges that the abnormity is generated. When the abnormal conditions occur, the abnormal conditions can be processed by the whole sewage processing system more efficiently by sending out abnormal notification and directly transmitting an operation instruction to each sewage processing device according to a preset control mode, for example, increasing the dosage of a dosing machine, increasing the stirring or settling time and the like, and returning to the original machine setting when the original abnormal data returns to the normal range.
The foregoing is by way of example only, and not limiting. It is intended that all equivalent modifications or variations without departing from the spirit and scope of the present invention shall be included in the appended claims.
Description of the reference numerals
10: sewage treatment system
11. 12, 13: first, second and third sewage treatment units
11a, 12a, 13 a: first, second and third sewage holding spaces
11b, 12b, 13 b: first, second and third sewage treatment equipment
111. 121, 131: first, second and third water level data monitors
112. 122, 132: first, second and third device data monitors
113. 123, 133: first, second and third water quality data monitors
14: wireless transmission device
15: inlet port
16: discharge port
17: inflow pipeline
18: sewage pipeline
19: discharge pipeline
20: cloud monitoring platform
21: data database
22: intelligent database
23: processor with a memory having a plurality of memory cells
201: abnormal information
31: trash holding tank
31a, 32a, 36a, 37a, 41a, 43 a: water level data monitor
32: grit oil removing pool
33. 51: mixing pool
34. 52: deep oxidation channel
35. 53: final sedimentation tank
36: disinfection pool
37. 54: releasing pool
41: sludge storage tank
42: gravity concentration tank
43: waste water collecting tank
51a, 52a, 54 a: water quality data monitor
Claims (10)
1. A sewage treatment monitoring system, comprising:
a wastewater treatment system, the wastewater treatment system comprising:
the sewage treatment system comprises a plurality of sewage treatment units, a plurality of sewage treatment units and a plurality of sewage treatment units, wherein the sewage treatment units are respectively provided with sewage containing spaces, the sewage containing spaces are mutually connected through sewage pipelines, sewage to be treated flows into the sewage treatment system through an inflow pipeline, and after a sewage treatment program is carried out by using sewage treatment equipment arranged corresponding to the sewage containing spaces, the sewage is discharged through an outflow pipeline;
the water level data monitor is arranged in a preset sewage accommodating space and used for monitoring water level height data of the sewage in the sewage accommodating space;
the equipment data monitor is connected with the sewage treatment equipment and used for monitoring the operation state data of the sewage treatment equipment; and
the water quality data monitor is arranged in the preset sewage treatment units and is used for detecting water quality monitoring data of the sewage in the corresponding sewage containing space; and
the high in the clouds monitor platform, be through internet on-line mode with sewage treatment system connects, the high in the clouds monitor platform contains:
a data database for storing the water level height data, the operation state data and the water quality monitoring data uploaded by the water level data monitor, the equipment data monitor and the water quality data monitor;
the intelligent database is connected with the data database, stores the water quality continuous monitoring data of the historical data of the sewage treatment system, and stores the water level critical value and the abnormal condition of the equipment set by a user; and
and the processor is connected with the data database and the intelligent database, compares the water level height data with the water level critical value, the operation state data with the abnormal condition of the equipment and the water quality monitoring data with the continuous water quality monitoring data in real time, and transmits abnormal information to an operator when the comparison result is abnormal.
2. The wastewater treatment monitoring system of claim 1, wherein the wastewater containment space comprises a wastewater treatment basin, a wastewater storage tank, or a wastewater treatment channel.
3. The wastewater treatment monitoring system of claim 1, further comprising a monitoring data collector connected to the water level data monitor, the equipment data monitor, and the water quality data monitor via the internet of things, receiving the water level height data, the operation status data, and the water quality monitoring data, and uploading the data to the data database via the internet.
4. The wastewater treatment monitoring system of claim 1, wherein the water quality monitoring data comprises temperature, conductivity, ph, dissolved oxygen, and suspended particle amount.
5. The sewage treatment monitoring system of claim 1, wherein the continuous water quality monitoring data is obtained by continuously recording the water quality monitoring data detected by the water quality data monitor according to a time interval, and subtracting invalid data and missing data detected by the water quality data monitor and storing the data in the intelligent database.
6. The wastewater treatment monitoring system according to claim 1, wherein the processor compares the correlation between the water quality monitoring data and the water quality continuous monitoring data, calculates a difference between the water quality monitoring data and the water quality continuous monitoring data, and evaluates a variability of the difference to determine whether the water quality monitoring data is in an abnormal state.
7. The sewage treatment monitoring system according to claim 1, wherein the sewage treatment system comprises a plurality of sludge treatment units each having a sludge accommodating space, the sludge accommodating spaces are connected to each other through a sludge pipeline, sludge generated by the plurality of sewage treatment units is subjected to a sludge treatment process by using sludge treatment equipment disposed corresponding to the sludge accommodating spaces, the sludge is discarded after being treated, and the generated wastewater is returned to the sewage treatment system again to perform the sewage treatment process.
8. The wastewater treatment monitoring system of claim 7, wherein the sludge holding space is provided with the water level data monitor, monitors the water level height data of the sludge in the sludge holding space, and uploads the water level height data to the data base.
9. The wastewater treatment monitoring system of claim 7, wherein the sludge treatment facility is configured with the facility data monitor to monitor the operational status data of the sludge treatment facility and upload the operational status data to the data repository.
10. The sewage treatment monitoring system of claim 1, wherein the cloud monitoring platform further comprises a control instruction database, and when the real-time comparison result is abnormal, the processor transmits a corresponding control instruction in the control instruction database to the sewage treatment device with the abnormality, and directly adjusts the operating parameters of the sewage treatment device to adjust the operating state.
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