Online intelligent supervision platform of wastewater treatment system

Abstract

The invention discloses an online intelligent supervision platform of a wastewater treatment system, and belongs to the technical field of wastewater treatment, and the online intelligent supervision platform comprises a breeding wastewater treatment module which carries out evolution treatment on generated breeding wastewater; the Internet of Things monitoring module is used for acquiring parameter information acquired by the water quality monitoring instrument in each wastewater treatment unit; the intelligent analysis module is used for analyzing and processing the acquired parameter information so as to judge whether the quality of water treated by each wastewater treatment unit reaches the standard or not, and generating an early warning instruction; and the operation and maintenance supervision module is used for displaying the analysis result of the intelligent analysis module and carrying out early warning reminding. A corresponding water quality monitoring instrument is arranged at each wastewater treatment unit, so that various parameter information of water quality is obtained, analysis treatment is carried out according to the obtained parameter information, whether wastewater treatment at each wastewater treatment unit reaches the standard or not is judged, independent analysis of the module units can be carried out, so that a problem source is determined, and the wastewater treatment efficiency is improved. And treatment according to noses is facilitated.

Description

Technical Field

[0001] The present invention belongs to the technical field of wastewater treatment, and in particular relates to an online intelligent monitoring platform for a wastewater treatment system. Background Art

[0002] In order to prevent various diseases that may occur during livestock and poultry breeding, various antibiotics are needed, which makes the breeding wastewater contain a large amount of antibiotic residues. In addition, livestock and poultry breeding wastewater also contains heavy metal elements such as copper, iron, manganese, chromium, cadmium, and nickel, which have caused great harm to the contemporary natural ecological environment. The direct discharge of breeding wastewater without effective treatment will not only seriously pollute natural water bodies, but also pose a great threat to people's normal life and health. Therefore, how to achieve efficient and stable treatment of livestock and poultry breeding wastewater is particularly important.

[0003] The current treatment of aquaculture wastewater is generally carried out through a unified treatment through sewage integrated equipment, and then discharged after meeting the standards. However, since sewage integrated equipment is relatively complex and hidden and invisible, when it is detected that the sewage treatment does not meet the standards, it is only known that the sewage treatment does not meet the standards, but it is not known that the treatment does not meet the standards at a specific location, and it is impossible to prescribe the right remedy. In addition, due to the complexity of the existing sewage integrated equipment, when the equipment status is tested, professional technicians are required to check the components of each module one by one. In this way, when there is a problem with the equipment status, there is a lag in discovering the equipment problem. Summary of the invention

[0004] The purpose of the present invention is to provide an online intelligent monitoring platform for a wastewater treatment system to solve the problems faced in the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An online intelligent monitoring platform for a wastewater treatment system, the monitoring platform comprising:

[0007] Aquaculture wastewater treatment module, the aquaculture wastewater treatment module is used to perform evolutionary treatment on the generated aquaculture wastewater, and the aquaculture wastewater treatment module is provided with a plurality of wastewater treatment units; the outlet of each wastewater treatment unit is provided with a corresponding water quality monitoring instrument;

[0008] An Internet of Things monitoring module, which is used to collect parameter information obtained by water quality monitoring instruments in each wastewater treatment unit;

[0009] A data storage module, which is used to store the acquired parameter information and transmit it to the intelligent analysis module;

[0010] An intelligent analysis module, which is used to analyze and process the acquired parameter information, so as to determine whether the treated water quality of each wastewater treatment unit meets the standard, and generate an early warning instruction when the standard is not met;

[0011] The operation and maintenance supervision module is used to display the analysis results of the intelligent analysis module and issue early warning reminders according to the early warning instructions.

[0012] Furthermore, the multiple wastewater treatment units in the aquaculture wastewater treatment module include an inlet pool, a water outlet of the inlet pool is connected to a first anoxic pool, a water outlet of the first anoxic pool is connected to a first high-efficiency aerobic pool, a water outlet of the first high-efficiency aerobic pool is connected to a second anoxic pool, a water outlet of the second anoxic pool is connected to a second high-efficiency aerobic pool, a water outlet of the second high-efficiency aerobic pool is connected to a sedimentation pool, a water outlet of the sedimentation pool is connected to an intermediate water pool, a water outlet of the intermediate water pool is connected to an outlet pool, and three electromagnetic control valves are provided at the outlet pool end, and the ends of each electromagnetic control valve are connected to the discharge port, the ecological purification pond and the inlet pool in sequence.

[0013] Furthermore, the intelligent analysis module performs processing in the following manner:

[0014] At every detection time Δt, the parameter information collected by the water quality monitoring instrument in each wastewater treatment unit is obtained, and the water quality status value Wr of the water in the wastewater treatment unit is obtained by the following formula;

[0015]

[0016] The water quality value Wr obtained is compared with the water quality threshold value Wr preset by the system. th For comparison:

[0017] When Wr>Wr th When the warning is generated,

[0018] Where m is the total number of items detected in the wastewater treatment unit, and j∈[1,m], E j is the parameter value of the jth test item, A j is the weight coefficient of the jth monitoring item.

[0019] Furthermore, the method for processing by the intelligent analysis module also includes:

[0020] In the continuous time T, the continuous time includes a plurality of detection times Δt, and the water quality status value at each detection time is obtained, so as to formulate a water quality status value versus time curve Wr(t);

[0021] By formula Calculate the degradation characteristic value Y;

[0022] The obtained degradation characteristic value Y is compared with the degradation characteristic threshold Y preset by the system. th For comparison:

[0023] When Y>Y th When the warning is generated,

[0024] Among them, Wr d (t) is the time variation curve of the standard water quality status value preset in the wastewater treatment unit, t x is the start time of the continuous time, t y The end time of the continuous time.

[0025] Furthermore, the intelligent analysis module is also used to control the opening and closing of each electromagnetic control valve according to the water quality status value of the outlet pool, so as to control the direction and position of the water discharged from the outlet pool. The control method is:

[0026] Get the water quality value Wr8 obtained from the water outlet pool and compare it with the water quality discharge thresholds Wr81 and Wr82 preset by the system, where Wr81 <Wr82;

[0027] When Wr8∈(0, Wr81), the first solenoid valve is opened to discharge the discharge water from the water outlet pool to the discharge port;

[0028] When Wr8∈[Wr81, Wr82], the second solenoid valve is opened to discharge the discharge water from the water outlet pool to the ecological purification pond;

[0029] When Wr8∈(Wr82, +∞), the third solenoid valve is opened to discharge the discharge water from the outlet pool into the inlet pool.

[0030] Furthermore, the intelligent analysis module is also used to analyze the water quality status values ​​at the inlet pool and the outlet pool to determine the equipment status in the aquaculture wastewater treatment module. The analysis method is:

[0031] Obtain the water quality status value Wr1 obtained from the water inlet pool and the water quality status value Wr8 obtained from the water outlet pool;

[0032] By formula The pollution reduction amount D is obtained;

[0033] At the same time, through the formula The turbidity reduction S is obtained;

[0034] By using the formula Calculate the risk value G;

[0035] The obtained risk value G is compared with the system preset risk threshold G th For comparison,

[0036] When G<G th When the warning is generated,

[0037] Among them, Hb1 is the turbidity of the inlet pool, Hb8 is the turbidity of the outlet pool, and w1 and w2 are proportional coefficients.

[0038] Furthermore, the method for obtaining Hb1 and Hb8 is:

[0039] Obtain image information of different pollution levels of water bodies from a large database, use image processing technology to extract features, obtain multiple color features of the water body, and determine different turbidity levels based on different color features;

[0040] The image information of each is obtained by installing image acquisition devices on the water inlet and outlet pools, and features are extracted from the acquired image information to obtain current color features, thereby determining turbidity based on the current color features.

[0041] Furthermore, the operation and maintenance supervision module includes a large-screen supervision unit and a small-program supervision unit, and the alarm instructions include an early warning of unqualified water quality treatment and an early warning of abnormal equipment condition.

[0042] Beneficial effects of the present invention:

[0043] The present invention sets corresponding water quality monitoring instruments at each wastewater treatment unit to obtain various parameter information of water quality, and performs analysis and processing based on the obtained parameter information to determine whether the wastewater treatment at each wastewater treatment unit meets the standards. In this way, each unit module can be analyzed separately to determine the source of the problem, so that the problem can be better treated with the right remedy.

[0044] The present invention can obtain the pollution reduction amount and the turbidity reduction amount based on the comparative analysis of the water quality of the water inlet pool and the water outlet pool, and make a comprehensive analysis based on the pollution reduction amount and the turbidity reduction amount to judge the wastewater treatment effect of the entire aquaculture wastewater treatment module. In this way, it is possible to judge whether the equipment is abnormal based on the overall wastewater treatment efficiency, so as to find the abnormal equipment in the first time, reduce the discharge of aquaculture wastewater that does not meet the standards into the water body or the natural environment, and thus reduce environmental pollution.

[0045] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0047] Figure 1 This is a structural diagram of the supervision platform of the present invention;

[0048] Figure 2 This is a schematic diagram of the structural composition of the aquaculture wastewater treatment module of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] In one embodiment, an online intelligent monitoring platform for a wastewater treatment system is disclosed, such as Figure 1 As shown, the regulatory platform includes:

[0051] Aquaculture wastewater treatment module, the aquaculture wastewater treatment module is used to carry out evolutionary treatment of the generated aquaculture wastewater. There are multiple wastewater treatment units in the aquaculture wastewater treatment module; the outlet of each wastewater treatment unit is equipped with corresponding water quality monitoring instruments, such as Figure 2 As shown, the multiple wastewater treatment units in the aquaculture wastewater treatment module include an inlet pool 1, the outlet of the inlet pool 1 is connected to the first anoxic pool 2, the outlet of the first anoxic pool 2 is connected to the first high-efficiency aerobic pool 3, the outlet of the first high-efficiency aerobic pool 3 is connected to the second anoxic pool 4, the outlet of the second anoxic pool 4 is connected to the second high-efficiency aerobic pool 5, the outlet of the second high-efficiency aerobic pool 5 is connected to the sedimentation pool 6, the outlet of the sedimentation pool 6 is connected to the intermediate pool 7, the outlet of the intermediate pool 7 is connected to the outlet pool 8, and the outlet pool 8 is provided with a There are three electromagnetic control valves, and the ends of each electromagnetic control valve are connected to the discharge port 9, the ecological purification pond 10 and the water inlet pool 1 in turn. The first high-efficiency aerobic pool 3 and the second high-efficiency aerobic pool 5 add microbial membranes on the basis of traditional aerobic pools to improve the pollution removal capacity. At the same time, a three-dimensional twin diagram can be established according to the relationship between each wastewater treatment unit, and corresponding sewage treatment process instructions can be set for each unit. In this way, the various treatment units of the wastewater treatment system can be truly and intuitively displayed on the large-screen supervision unit for easy management and control.

[0052] Internet of Things monitoring module, which is used to collect parameter information obtained by water quality monitoring instruments in each wastewater treatment unit;

[0053] A data storage module, which is used to store the acquired parameter information and transmit it to the intelligent analysis module;

[0054] Intelligent analysis module: The intelligent analysis module is used to analyze and process the acquired parameter information, so as to determine whether the treated water quality of each wastewater treatment unit meets the standard, and generate an early warning instruction when the standard is not met;

[0055] The operation and maintenance supervision module is used to display the analysis results of the intelligent analysis module and issue early warning reminders according to the early warning instructions. The operation and maintenance supervision module includes a large-screen supervision unit and a small-program supervision unit. The alarm instructions include early warnings for unqualified water quality treatment and abnormal equipment conditions.

[0056] Through the above technical scheme, the present application sets corresponding water quality monitoring instruments at each wastewater treatment unit to obtain various parameter information of water quality, and analyzes and processes the obtained parameter information to determine whether the wastewater treatment at each wastewater treatment unit meets the standards. In this way, each unit module can be analyzed separately to determine the source of the problem, so that the right medicine can be used for better treatment. At the same time, the present application can compare and analyze the water quality of the inlet pool and the outlet pool to obtain the pollution reduction and turbidity reduction, and conduct a comprehensive analysis based on the pollution reduction and turbidity reduction to judge the wastewater treatment effect of the entire aquaculture wastewater treatment module, thereby analyzing whether the equipment of the entire aquaculture wastewater treatment module is abnormal, and timely warning of abnormal conditions, so that it can be judged whether the equipment is abnormal based on the entire wastewater treatment efficiency, so as to find abnormal equipment as soon as possible, reduce the discharge of aquaculture wastewater that does not meet the standards into the water body or natural environment, and thus reduce environmental pollution.

[0057] As an implementation of the present invention, the method for processing by the intelligent analysis module is:

[0058] At every detection time Δt, the parameter information collected by the water quality monitoring instrument in each wastewater treatment unit is obtained, and the water quality status value Wr of the water in the wastewater treatment unit is obtained by the following formula;

[0059]

[0060] The water quality value Wr obtained is compared with the water quality threshold value Wr preset by the system. th For comparison:

[0061] When Wr>Wr th When the warning is generated,

[0062] Where m is the total number of items detected in the wastewater treatment unit, and j∈[1,m], E j is the parameter value of the jth test item, A j is the weight coefficient of the jth monitoring item.

[0063] Through the above technical solution, this embodiment provides a method for determining whether the wastewater treatment of a wastewater treatment unit meets the standard. Specifically, the parameter information collected by the water quality monitoring instrument in each wastewater treatment unit is obtained at every detection time Δt, and the formula The water quality status value Wr of the water in the wastewater treatment unit is obtained; the detection time can be determined artificially, for example, the detection is carried out every day, and the parameter information includes multiple parameters, such as COD, ammonia nitrogen, total nitrogen, total phosphorus, etc. If the parameters are tested separately, the test results may not be accurate enough, so the formula is used The obtained parameter information is comprehensively analyzed to obtain the water quality status value. It is more accurate to judge the treatment effect of the wastewater treatment unit according to the water quality status value. Therefore, the obtained water quality status value Wr is compared with the water quality status threshold value Wr preset by the system. th For comparison: When Wr>Wr th , it means that the water quality does not meet the standard at this time, and there is a problem with the wastewater treatment unit. Then an early warning instruction is generated, and an early warning of unqualified water treatment is issued. The reminder is notified to the relevant operation and maintenance personnel through the supervision applet unit message. The operation and maintenance personnel can immediately find out that there is a problem with the pollution degradation of a specific process module of the sewage treatment system, which helps the precise operation and maintenance of sewage treatment facilities, thereby ensuring the long-term operation of sewage treatment facilities. By analyzing and testing a single wastewater treatment unit, problems in a treatment unit can be discovered in time, and the corresponding treatment method can be selected according to its water quality conditions to ensure the efficiency of sewage treatment in time; at the same time, by collecting data on the water quality of each wastewater treatment unit, the sludge return ratio can be dynamically adjusted according to the collected data to ensure the appropriate sludge return flow required for aquaculture wastewater treatment, improve the shock load resistance of aquaculture wastewater treatment equipment, and ensure the stable and efficient operation of aquaculture wastewater. For example, when the seasonal influent volume of aquaculture increases significantly, the system can be remotely adjusted to reduce the sludge return ratio and increase the residence time of pollutants in aquaculture wastewater, so that the pollutants can be fully degraded when the influent volume is significantly reduced; when the influent concentration is high, the system can be remotely adjusted to increase the sludge return ratio and increase the return flow to improve the impact resistance of the sludge system; when the influent pH increases or decreases significantly, the system can be remotely adjusted to increase the sludge return ratio and reduce the impact of significant pH changes on the aquaculture wastewater treatment effect, so as to ensure that the wastewater treatment is qualified.

[0064] In the above technical solution, the detection items can be determined according to the sewage treatment requirements, and their weight coefficients and the water quality thresholds preset by the system can be obtained based on empirical data, which will not be described in detail here.

[0065] As an embodiment of the present invention, the method for processing by the intelligent analysis module further includes:

[0066] In the continuous time T, the continuous time includes multiple detection times Δt, and the water quality status value at each detection time is obtained, so as to formulate a water quality status value over time curve Wr(t);

[0067] By formula Calculate the degradation characteristic value Y;

[0068] The obtained degradation characteristic value Y is compared with the degradation characteristic threshold Y preset by the system. th For comparison:

[0069] When Y>Y th When the warning is generated,

[0070] Among them, Wr d (t) is the time variation curve of the standard water quality status value preset in the wastewater treatment unit, t x is the start time of the continuous time, t y The end time of the continuous time.

[0071] Through the above technical solution, this embodiment provides another situation for judging whether the wastewater treatment of a wastewater treatment unit meets the standard. Since the water quality status value detected on a single day is only considered to be substandard after it exceeds the preset threshold, if the water quality status value is close to the preset threshold for many consecutive days but does not reach the alarm threshold, it means that the treatment evolution capacity of the wastewater treatment unit is also in a problem. Therefore, in this embodiment, within the continuous time T, the continuous time includes multiple detection times Δt, and the water quality status value at each detection time is obtained, so as to formulate a water quality status value over time curve Wr(t), and through the formula Degradation characteristic value Y is obtained. The degradation characteristic value can show the difference between the actual water quality change and the preset standard water quality change. The larger the value, the worse the water treatment evolution ability of the wastewater treatment unit is, and the more likely it is to occur. Therefore, the obtained degradation characteristic value Y is compared with the system preset degradation characteristic threshold Y. th Compare: When Y>Y th When the wastewater treatment unit is considered to have a problem, an early warning instruction is generated, an early warning of unqualified water treatment is issued, and a reminder is sent to the relevant operation and maintenance personnel through the supervision applet unit message. In this way, the potential risk of problems in the wastewater treatment unit can be judged, so that problems can be discovered and handled in time.

[0072] In the above technical solution, the set continuous time T can be determined according to the actual situation, for example, it can be set in weeks or months, and the preset standard water quality status value over time curve Wr d (t) can be formulated based on empirical data, which will not be described in detail here.

[0073] As an embodiment of the present invention, the intelligent analysis module is also used to control the opening and closing of each electromagnetic control valve according to the water quality status value of the water outlet pool 8, thereby controlling the direction and position of the water discharged from the water outlet pool 8. The control method is:

[0074] Obtain the water quality status value Wr8 obtained from the water outlet pool 8, and compare it with the water quality discharge thresholds Wr81 and Wr82 preset by the system, where Wr81<Wr82;

[0075] When Wr8∈(0, Wr81), the first solenoid valve 11 is opened to discharge the discharge water from the water outlet pool 8 to the discharge port 9;

[0076] When Wr8∈[Wr81, Wr82], the second solenoid valve 12 is opened to discharge the discharge water from the water outlet pool 8 to the ecological purification pond 10;

[0077] When Wr8∈(Wr82, +∞), the third solenoid valve 13 is opened to discharge the discharge water from the outlet pool 8 into the inlet pool 1.

[0078] Through the above technical scheme, this implementation provides a specific method for discharging the discharged water from the outlet pool 8. Since the water treated by the outlet pool 8 does not necessarily meet the discharge standard, rash discharge will also cause environmental pollution. Therefore, according to the effluent standard after the aquaculture wastewater treatment, a water quality discharge threshold Wr81 and Wr82 are set to judge the effluent state. When Wr8∈(0, Wr81), it means that the water quality treatment meets the standard at this time, and it can be discharged normally. Then, the first solenoid valve 11 is opened to discharge the discharged water from the outlet pool 8 to the discharge port 9. Otherwise, it means that the water quality does not meet the standard and needs to be further processed. If all the unqualified water quality is returned for reprocessing, it will Increase the burden, therefore, according to the discharge standard, the substandard water quality is divided into slightly exceeding the standard and seriously exceeding the standard. When Wr8∈[Wr81, Wr82], it is assessed as slightly exceeding the standard, and the large-screen monitoring unit is used to trigger the remote second solenoid valve 12 to open, and the discharge water of the outlet pool 8 is discharged to the ecological purification pond 10 for secondary ecological treatment and purification. When Wr8∈(Wr82, +∞), it is assessed as seriously exceeding the standard, and the large-screen monitoring unit is used to trigger the remote third solenoid valve 13 to open, and the discharge water of the outlet pool 8 is returned to the inlet pool 1 for secondary treatment, so as to ensure that the pollutants in the aquaculture wastewater are fully degraded and removed, and to avoid the effluent affecting the natural water body or the environment.

[0079] As an embodiment of the present invention, the intelligent analysis module is also used to analyze the water quality status values ​​at the inlet pool 1 and the outlet pool 8 to determine the equipment status in the aquaculture wastewater treatment module. The analysis method is:

[0080] Obtain the water quality status value Wr1 obtained from the water inlet pool 1 and the water quality status value Wr8 obtained from the water outlet pool 8;

[0081] By formula The pollution reduction amount D is obtained;

[0082] At the same time, through the formula The turbidity reduction S is obtained;

[0083] By using the formula Calculate the risk value G;

[0084] The obtained risk value G is compared with the system preset risk threshold G th For comparison,

[0085] When G<G th When the warning is generated,

[0086] Wherein, Hb1 is the turbidity of the inlet pool 1, Hb8 is the turbidity of the outlet pool 8, w1 and w2 are proportional coefficients;

[0087] The method for obtaining Hb1 and Hb8 is as follows: obtaining image information of different pollution levels of water bodies from a large database, extracting features using image processing technology, obtaining multiple color features of the water body, and determining different turbidities according to the different color features;

[0088] The image information of each is acquired by image acquisition devices installed on the water inlet pool 1 and the water outlet pool 8, and features are extracted from the acquired image information to obtain current color features, thereby determining turbidity based on the current color features.

[0089] Through the above technical solution, this embodiment provides a method for judging the equipment status in the entire aquaculture wastewater treatment module according to the water quality status value. First, the water quality status value Wr1 obtained by the inlet pool 1 and the water quality status value Wr8 obtained by the outlet pool 8 are obtained. The formula The pollution reduction amount D is obtained. It can be seen that the larger the pollution reduction amount, the better the wastewater treatment and purification effect, and the better the condition of the treatment equipment. Then, the image acquisition devices installed on the water inlet pool 1 and the water outlet pool 8 are used to obtain the respective image information, and the features of the collected image information are extracted to obtain the current color features, so as to determine the respective turbidity Hb1 and Hb8 according to the current color features, and the formula is used. The turbidity reduction S is obtained. From the formula, it can be seen that the larger the value, the better the wastewater treatment and purification effect, and the better the condition of the treatment equipment. Therefore, the formula is finally used Perform comprehensive analysis to determine the risk value G, and compare the obtained risk value G with the system preset risk threshold G th For comparison, when G<G th When the water quality of the inlet pool 1 and the outlet pool 8 is compared and analyzed, the pollution reduction amount and the turbidity reduction amount can be obtained, and a comprehensive analysis can be conducted based on the pollution reduction amount and the turbidity reduction amount to judge the wastewater treatment effect of the entire aquaculture wastewater treatment module, thereby analyzing whether the equipment of the entire aquaculture wastewater treatment module is abnormal, and timely warning of abnormal conditions can be issued. In this way, it is possible to judge whether the equipment is abnormal based on the overall wastewater treatment efficiency, so as to find abnormal equipment in the first place and reduce the discharge of aquaculture wastewater that does not meet the standards into the water body or the natural environment, thereby reducing environmental pollution.

[0090] In the above technical solution, the preset proportional coefficients w1 and w2 and the system preset risk threshold G th All of these can be obtained based on empirical data and will not be described in detail here.

[0091] As an implementation mode of the present invention, the operation and maintenance supervision module includes a large-screen supervision unit and a supervision applet unit, and the alarm instructions include an early warning of unqualified water quality treatment and an early warning of abnormal equipment condition.

[0092] The large-screen supervision unit can display the analysis results of the intelligent analysis module. Through the large-screen supervision unit, the operation data and early warning information of each wastewater treatment unit of aquaculture wastewater can be grasped in real time, and online scheduling management can be carried out at the same time. At the same time, the system can also set up corresponding operation and maintenance knowledge bases and online expert modules for networking, match the operation and maintenance knowledge base according to different early warnings, and provide early warning results and operation and maintenance methods to the corresponding operation and maintenance personnel, reducing the difficulty of operation and maintenance and improving the effectiveness. For any questions in the operation and maintenance process, the online expert module can be used to communicate with the experts of the operation and maintenance center to achieve fool-proof operation and maintenance and ensure operation and maintenance efficiency. Through the supervision applet unit, the operation and maintenance personnel can view the operation data and early warning information of each wastewater treatment unit of aquaculture wastewater in real time, and provide timely operation and maintenance processing feedback, so as to realize the integrated management of aquaculture wastewater treatment, monitoring, early warning, scheduling, and operation and maintenance, and ensure that aquaculture wastewater can be treated efficiently and stably to avoid pollution to the natural environment.

[0093] As an embodiment of the present invention, the method for performing analysis by the intelligent analysis module further includes:

[0094] Obtain the parameter value E of a single test item obtained by each wastewater treatment unit, establish a water quality space change diagram along the way, and formulate a degradation characteristic change curve E(x) of each test item based on the water quality space change diagram along the way;

[0095] At the same time, according to the parameter values ​​of the individual detection items of each wastewater treatment unit, the average parameter value EB of each wastewater treatment unit in the wastewater treatment stage is obtained, so that the parameter deviation value Zq of each wastewater treatment stage is obtained through the formula Zq=|EB-EB0|;

[0096] By formula The degradation factor F is obtained;

[0097] When F>F V When the warning is generated,

[0098] Among them, σ is the standard deviation of the parameter deviation value, x1 is the start time of wastewater treatment, x2 is the end time of wastewater treatment, E0(x) is the preset standard curve of degradation characteristic change of each test item, ρ1 and ρ2 are proportional coefficients, EB M is the maximum average parameter value in all wastewater treatment stages, F V is the preset degradation coefficient threshold.

[0099] Through the above technical scheme, this embodiment provides another method for the intelligent analysis module to perform analysis, that is, according to the parameter values ​​of each detection item obtained by each wastewater treatment unit, a graph of the water quality space changes along the way is established and displayed on the large-screen supervision unit. The detection items can be key water quality indicators such as ammonia nitrogen, nitrate nitrogen, chemical oxygen demand, total phosphorus, etc. In this way, after the maintenance personnel select a specific water quality indicator, the latest spatial data of the water quality indicator in each wastewater treatment unit can be displayed, including daily averages, weekly averages, monthly averages, etc. In this way, through the analysis of the changes in the water quality space along the way, the degradation characteristic change curve E(x) of specific indicators such as ammonia nitrogen, nitrate nitrogen, chemical oxygen demand, total phosphorus, etc. in the normal operating state and the average parameter value EB of each wastewater treatment unit in the wastewater treatment stage can be formulated, so that the parameter deviation value Zq of each wastewater treatment stage can be obtained through the formula Zq=|EB-EB0|, so that the parameter deviation value Zq of each wastewater treatment stage can be obtained through the formula exp(EB M )) The degradation coefficient F is obtained, σ is the standard deviation of the parameter deviation value Zq. It can be seen that the larger its value is, the greater the difference between the parameter deviation values ​​obtained each time is, which means that the possibility of abnormality is greater. The formula It indicates the difference between the degradation characteristic change of the test item and the standard degradation characteristic change during the whole treatment process, as well as the maximum average parameter value in the whole wastewater treatment stage. The larger the value, the greater the possibility of abnormality. Therefore, after the degradation coefficient F is obtained, it is compared with the preset degradation coefficient threshold F. V For comparison, when F>F V When an abnormality occurs in the sewage treatment equipment, an early warning instruction is generated, which can be notified to the relevant operation and maintenance personnel via SMS or supervision applet unit. The operation and maintenance personnel can immediately discover the pollution degradation problems in a specific treatment unit of the sewage treatment system, which can assist in the precise operation and maintenance of the sewage treatment facilities, thereby ensuring the long-term operation of the sewage treatment facilities.

[0100] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An online intelligent monitoring platform for wastewater treatment systems, characterized in that: The regulatory platform includes: Aquaculture wastewater treatment module, the aquaculture wastewater treatment module is used to perform evolutionary treatment on the generated aquaculture wastewater, the aquaculture wastewater treatment module is provided with a plurality of wastewater treatment units, and the outlet of each wastewater treatment unit is provided with a corresponding water quality monitoring instrument; An Internet of Things monitoring module, which is used to collect parameter information obtained by water quality monitoring instruments in each wastewater treatment unit; A data storage module, which is used to store the acquired parameter information and transmit it to the intelligent analysis module; An intelligent analysis module, which is used to analyze and process the acquired parameter information, so as to determine whether the treated water quality of each wastewater treatment unit meets the standard, and generate an early warning instruction when the standard is not met; The operation and maintenance supervision module is used to display the analysis results of the intelligent analysis module and issue early warning reminders according to the early warning instructions.

2. The online intelligent monitoring platform for a wastewater treatment system according to claim 1, characterized in that: The multiple wastewater treatment units in the aquaculture wastewater treatment module include an inlet pool (1), the outlet of the inlet pool (1) is connected to a first anoxic pool (2), the outlet of the first anoxic pool (2) is connected to a first high-efficiency aerobic pool (3), the outlet of the first high-efficiency aerobic pool (3) is connected to a second anoxic pool (4), the outlet of the second anoxic pool (4) is connected to a second high-efficiency aerobic pool (5), the outlet of the second high-efficiency aerobic pool (5) is connected to a sedimentation pool (6), the outlet of the sedimentation pool (6) is connected to an intermediate pool (7), the outlet of the intermediate pool (7) is connected to an outlet pool (8), and three electromagnetic control valves are provided at the end of the outlet pool (8), and the ends of the electromagnetic control valves are connected to a discharge port (9), an ecological purification pond (10) and the inlet pool (1) in sequence.

3. The online intelligent monitoring platform for a wastewater treatment system according to claim 2 is characterized in that: The method for processing by the intelligent analysis module is: At every detection time Δt, the parameter information collected by the water quality monitoring instrument in each wastewater treatment unit is obtained, and the water quality status value Wr of the water in the wastewater treatment unit is obtained by the following formula; The water quality value Wr obtained is compared with the water quality threshold value Wr preset by the system. th For comparison: When Wr>Wr th When the warning is generated, Where m is the total number of items detected in the wastewater treatment unit, and j∈[1,m], E j is the parameter value of the jth test item, A j is the weight coefficient of the jth monitoring item.

4. The online intelligent monitoring platform for a wastewater treatment system according to claim 3 is characterized in that: The method for processing by the intelligent analysis module also includes: In the continuous time T, the continuous time includes a plurality of detection times Δt, and the water quality status value at each detection time is obtained, so as to formulate a water quality status value versus time curve Wr(t); By formula Calculate the degradation characteristic value Y; The obtained degradation characteristic value Y is compared with the degradation characteristic threshold Y preset by the system. th For comparison: When Y>Y th When the warning is generated, Among them, Wr d (t) is the time variation curve of the standard water quality status value preset in the wastewater treatment unit, t x is the start time of the continuous time, t y The end time of the continuous time.

5. The online intelligent monitoring platform for a wastewater treatment system according to claim 4 is characterized in that: The intelligent analysis module is also used to control the opening and closing of each electromagnetic control valve according to the water quality status value of the water outlet pool (8), thereby controlling the direction and position of the water discharged from the water outlet pool (8). The control method is: Obtain the water quality status value Wr8 obtained from the water outlet pool, and compare it with the water quality discharge thresholds Wr81 and Wr82 preset by the system, where Wr81<Wr82; When Wr8∈(0, Wr81), the first solenoid valve (11) is opened to discharge the discharge water from the water outlet pool (8) to the discharge port (9); When Wr8∈[Wr81, Wr82], the second solenoid valve (12) is opened to discharge the discharge water from the water outlet pool (8) to the ecological purification pond (10); When Wr8∈(Wr82, +∞), the third electromagnetic valve (13) is opened to discharge the discharge water from the outlet pool (8) into the inlet pool (1).

6. The online intelligent monitoring platform for a wastewater treatment system according to claim 5, characterized in that: The intelligent analysis module is also used to analyze the water quality status values ​​at the water inlet pool (1) and the water outlet pool (8) to determine the equipment status in the aquaculture wastewater treatment module. The analysis method is: Obtaining a water quality status value Wr1 obtained from the water inlet pool (1) and a water quality status value Wr8 obtained from the water outlet pool (8); By formula The pollution reduction amount D is obtained; At the same time, through the formula The turbidity reduction S is obtained; By using the formula Calculate the risk value G; The obtained risk value G is compared with the system preset risk threshold G th For comparison, When G<G th When the warning is generated, Among them, Hb1 is the turbidity of the inlet pool (1), Hb8 is the turbidity of the outlet pool (8), and w1 and w2 are proportional coefficients.

7. The online intelligent monitoring platform for wastewater treatment system according to claim 6, characterized in that: The method for obtaining Hb1 and Hb8 is: Obtain image information of different pollution levels of water bodies from a large database, use image processing technology to extract features, obtain multiple color features of the water body, and determine different turbidity levels based on different color features; Respective image information is acquired through image acquisition devices installed on the water inlet pool (1) and the water outlet pool (8), and features are extracted from the acquired image information to obtain current color features, thereby determining turbidity based on the current color features.

8. The online intelligent monitoring platform for a wastewater treatment system according to claim 1, characterized in that: The operation and maintenance supervision module includes a large-screen supervision unit and a supervision applet unit. The alarm instructions include warnings of unqualified water quality treatment and abnormal equipment condition. The large-screen supervision unit is used to display the analysis results of the intelligent analysis module. At the same time, a three-dimensional twin diagram is established according to the treatment process of each wastewater treatment unit.

9. The online intelligent monitoring platform for a wastewater treatment system according to claim 5, characterized in that: The method for performing analysis by the intelligent analysis module also includes: Obtain the parameter value E of a single test item obtained by each wastewater treatment unit, establish a water quality space change diagram along the way, and formulate a degradation characteristic change curve E(x) of each test item based on the water quality space change diagram along the way; At the same time, according to the parameter values ​​of the individual detection items of each wastewater treatment unit, the average parameter value EB of each wastewater treatment unit in the wastewater treatment stage is obtained, so that the parameter deviation value Zq of each wastewater treatment stage is obtained through the formula Zq=|EB-EB0|; By formula The degradation factor F is obtained; When F>F V When the warning is generated, Among them, σ is the standard deviation of the parameter deviation value, x1 is the start time of wastewater treatment, x2 is the end time of wastewater treatment, E0(x) is the preset standard curve of degradation characteristic change of each test item, ρ1 and ρ2 are proportional coefficients, EB M is the maximum average parameter value in all wastewater treatment stages, F V is the preset degradation coefficient threshold.

Images