CN115685899A - Biochemical pond operational parameter management system of municipal administration sewage treatment plant - Google Patents
Biochemical pond operational parameter management system of municipal administration sewage treatment plant Download PDFInfo
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Abstract
The application belongs to the technical field of sewage treatment, and relates to a biochemical pond operation parameter management system of municipal sewage treatment plant, include: the data filling subsystem is used for collecting the sewage treatment related data filled in the sewage treatment plant; the data checking subsystem is used for checking suspicious data of the sewage treatment related data according to the preset water quality characteristic parameters and the preset data checking rules; the model analysis subsystem is used for inputting the checked data into the activated sludge model to obtain a calculation result, performing model correction on the activated sludge model according to preset model parameters and the calculation result, and performing bidirectional correction on the suspicious data; and the condition analysis subsystem is used for carrying out reaction capacity analysis based on the corrected activated sludge model and calculating based on a preset optimization target and the corrected activated sludge model to obtain the optimal working condition. The system carries out data inspection and model correction through data mining and data analysis, and provides a basis for reasonable regulation and control of the operation parameters of the biochemical pool of the sewage plant.
Description
Technical Field
The application belongs to the technical field of sewage treatment, and particularly relates to a biochemical pond operation parameter management system of a municipal sewage treatment plant.
Background
With the gradual penetration of the concept of digitalization, informatization and intellectualization to all the fields of society, the sewage treatment industry is gradually developing and transforming to the directions of intelligent water affairs, digital twins and the like. In the aspect of digital management of sewage treatment plants, the single-plant-end and enterprise-end cloud platform technologies are mainly used at present, online operation data of various water plants are collected in real time by building a database platform and are uniformly sent to an enterprise end for centralized display, analysis and management; in the aspect of intelligent operation management, currently, the method mainly relies on auxiliary computing tools, including electronic computing forms based on national design specifications, effluent prediction platforms based on big data analysis technology, and simulation computing software based on an activated sludge model as a computing theory.
The existing intelligent water affair platform only realizes the functions of secondary storage, processing and display of data and information, and how to fully play the guidance role of data mining and data analysis on production and operation of a sewage treatment plant becomes a technical problem to be solved urgently.
Disclosure of Invention
Technical problem to be solved
In view of the above disadvantages and shortcomings of the prior art, the present application provides a system for managing operating parameters of a biochemical tank of a municipal sewage treatment plant.
(II) technical scheme
In order to achieve the purpose, the technical scheme is as follows:
the application provides a biochemical pond operational parameter management system of municipal wastewater treatment plant, this system includes:
the data filling subsystem is used for collecting sewage treatment related data filled by each target sewage treatment plant and storing the sewage treatment related data in the local server, wherein the sewage treatment related data comprise water quality detection data, actual operation parameter data and process design parameter data;
the data inspection subsystem is in communication connection with the data filling subsystem and is used for performing suspicious data inspection on the sewage treatment related data according to the water quality characteristic parameters stored in the preset water quality characteristic database and the preset data inspection rule and determining suspicious data and normal data;
the model analysis subsystem is in communication connection with the data checking subsystem and is used for inputting the normal data into the activated sludge model to obtain a sludge model calculation result, performing model correction on the activated sludge model according to parameters in a preset model parameter database and the sludge model calculation result, and performing bidirectional correction on the suspicious data;
the condition analysis subsystem is in communication connection with the model analysis subsystem and is used for carrying out reaction capacity analysis based on the corrected activated sludge model to obtain a capacity analysis result; and performing steady state calculation of relevant working conditions based on a preset optimization target and the corrected activated sludge model to obtain the optimal working condition.
Optionally, the system further comprises:
and the management terminal is respectively in communication connection with the model analysis subsystem and the condition analysis subsystem and is used for displaying the calculation results and the analysis results generated by the model analysis subsystem and the condition analysis subsystem.
Optionally, the data filling subsystem includes a data storage unit and an information identification unit;
the data storage unit is used for acquiring the water quality detection data, the actual operation parameter data and the process design parameter data and storing the data according to a preset data storage structure;
and the information identification unit is used for acquiring the filling date information and the water plant basic information, identifying according to a preset information interaction structure and storing in the data storage unit.
Optionally, the data checking subsystem comprises a data checking unit, a data label unit and a water quality characteristic database unit;
the data inspection unit is in communication interaction with the data filling subsystem and is used for comparing the water quality data in the data filling subsystem with the water quality characteristic parameters in the water quality characteristic database unit according to a preset data analysis method, inspecting suspicious data in the water quality data and sending inspection results to the data label unit;
and the data label unit is in communication interaction with the data filling subsystem and is used for adding a data label to suspicious data according to a preset data analysis method and a data label rule according to the inspection result of the data inspection unit and importing the suspicious data into the water quality parameter data in the data filling subsystem.
Optionally, the data analysis method is a mathematical statistical analysis method, and the analysis content is the proportion of the pollutant content in the municipal wastewater; the data tag rule includes:
the priority of the suspicious data labels in the water quality data is in the following sequence from high to low: BOD 5 Volatile suspended solids > total suspended solids > COD > total nitrogen > total phosphorus > ammonia nitrogen > phosphate > nitric acid nitrogen;
the items directly labeled with suspicious data in the operation parameters comprise: internal reflux ratio, external reflux ratio, total suspended solid of effluent of the secondary sedimentation tank and external reflux nitric acid nitrogen concentration.
Optionally, the model analysis subsystem comprises an activated sludge model calculation unit, a model correction unit, a model parameter database unit,
the activated sludge model calculation unit is in communication interaction with the data inspection subsystem and is used for calling the data inspected by the data inspection subsystem and inputting the data into the activated sludge model to obtain a sludge model calculation result;
and the model correction unit is in communication interaction with the data filling subsystem and is used for calling parameters in the model parameter database unit according to a preset model correction method, correcting the activated sludge model based on the calculation result of the sludge model, and performing bidirectional correction on the data which is checked by the data checking subsystem and added with the suspicious data label to obtain corrected data.
Optionally, the preset model correction method includes:
the corrected model parameters include, but are not limited to: sludge age, 20 ℃ maximum specific growth rate of nitrifying bacteria, ash content and phosphorus content, phosphorus content in volatile suspended matters, nitrogen content in volatile suspended matters, heterotrophic bacteria oxygen half-saturation coefficient, iron salt adding coefficient, aluminum salt adding coefficient and 20 ℃ anaerobic denitrification rate of heterotrophic bacteria;
according to the suspicious data tag, the bidirectional acceptable correction range of the correction value/measurement value comprises: BOD 5 Less than 30 percent, less than 25 percent of volatile suspended solid, less than 25 percent of total suspended solid, less than 20 percent of COD, less than 20 percent of total nitrogen, less than 15 percent of total phosphorus, less than 15 percent of ammonia nitrogen, less than 5 percent of phosphate, less than 5 percent of nitric acid nitrogen, less than 25 percent of internal reflux ratio, less than 20 percent of external reflux ratio, less than 25 percent of total suspended solid in effluent of the secondary sedimentation tank, and less than 5 percent of external reflux nitric acid nitrogen concentration.
Optionally, the sludge model calculation result comprises an aeration tank sludge characteristic result and a secondary sedimentation tank effluent result;
the characteristic result of the sludge in the aeration tank is the sludge concentration in the aeration tank and the proportion of organic suspended solids in the aeration tank;
the effluent result of the secondary sedimentation tank comprises: the ammonia nitrogen concentration of the effluent of the secondary sedimentation tank, the total nitrogen concentration of the effluent and the total phosphorus concentration of the effluent.
Optionally, the condition analysis subsystem includes a capability analysis unit and a condition optimization unit;
the capacity analysis unit is in communication interaction with the model analysis subsystem and is used for carrying out steady-state analysis and calculation on the phosphorus removal capacity, the nitrification capacity and the denitrification capacity based on the corrected activated sludge model to obtain a capacity analysis result;
and the condition optimization unit is used for importing the input relevant condition working condition data serving as an optimization target into the capacity analysis unit, generating a steady-state calculation result of the relevant condition working condition, and determining an optimal working condition based on the steady-state calculation result.
Optionally, the relevant condition and working condition data includes one or more of denitrification data, sludge discharge data, sludge concentration data, dosage data, reflux ratio data and aeration data.
(III) advantageous effects
The beneficial effect of this application is: the data filling subsystem is used for collecting the sewage treatment related data filled in the sewage treatment plant; the data checking subsystem is used for checking suspicious data of the sewage treatment related data according to the preset water quality characteristic parameters and the preset data checking rules; the model analysis subsystem is used for inputting the checked data into the activated sludge model to obtain a calculation result, performing model correction on the activated sludge model according to preset model parameters and the calculation result, and performing bidirectional correction on the suspicious data; and the condition analysis subsystem is used for analyzing the reaction capacity based on the corrected activated sludge model and performing steady-state calculation based on a preset optimization target and the corrected activated sludge model to obtain the optimal working condition.
The system establishes communication interaction with a data filling subsystem, a data checking subsystem, a model analysis subsystem and a condition analysis subsystem with different hierarchy functions to form an intelligent expert system capable of uniformly storing, analyzing and managing parameters of the biochemical pool of the municipal sewage plant.
Drawings
The application is described with the aid of the following figures:
FIG. 1 is a schematic diagram of an architecture of a biochemical tank operation parameter management system of a municipal sewage treatment plant according to an embodiment of the present disclosure;
FIG. 2 is a schematic structural diagram of a data reporting subsystem of a biochemical tank operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present application;
fig. 3 is a schematic diagram of a data storage structure of a data storage unit in a data reporting subsystem of a biochemical pool operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present application;
FIG. 4 is a schematic diagram illustrating a logical relationship between a data inspection subsystem and other subsystems of a biochemical pool operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present disclosure;
FIG. 5 is a schematic diagram illustrating a logical relationship between a model analysis subsystem and other subsystems of a biochemical tank operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present disclosure;
fig. 6 is a schematic diagram illustrating a logical relationship between a condition analysis subsystem and other subsystems of a biochemical tank operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present disclosure.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings. It is to be understood that the specific examples described below are intended to be illustrative of the invention only and are not intended to be limiting. In addition, it should be noted that, in the case of no conflict, the embodiments and features in the embodiments in the present application may be combined with each other; for convenience of description, only portions related to the invention are shown in the drawings.
The invention aims to provide an expert management system for operating parameters of a biochemical pool of a municipal sewage treatment plant based on operation management and mathematical modeling experience of the sewage plant in practice, has less data requirements and use difficulty on the premise of ensuring higher water quality prediction accuracy, and provides guidance for actual production and operation.
Example one
Fig. 1 is a schematic structural diagram of an operation parameter management system for a biochemical tank of a municipal sewage treatment plant according to an embodiment of the present application, and as shown in fig. 1, the system includes:
the data filling subsystem is used for collecting sewage treatment related data filled by each target sewage treatment plant and storing the sewage treatment related data in the local server, wherein the sewage treatment related data comprise water quality detection data, actual operation parameter data and process design parameter data;
the data inspection subsystem is in communication connection with the data filling subsystem and is used for performing suspicious data inspection on the sewage treatment related data according to the water quality characteristic parameters stored in the preset water quality characteristic database and the preset data inspection rules and determining suspicious data and normal data;
the model analysis subsystem is in communication connection with the data checking subsystem and is used for inputting the normal data into the activated sludge model to obtain a sludge model calculation result, performing model correction on the activated sludge model according to parameters in a preset model parameter database and the sludge model calculation result, and performing bidirectional correction on the suspicious data;
the condition analysis subsystem is in communication connection with the model analysis subsystem and is used for carrying out reaction capacity analysis based on the corrected activated sludge model to obtain a capacity analysis result; and performing steady state calculation of relevant working conditions based on a preset optimization target and the corrected activated sludge model to obtain the optimal working conditions.
The system establishes communication interaction with the data filling subsystem, the data checking subsystem, the model analysis subsystem and the condition analysis subsystem with different hierarchy functions to form an intelligent expert system capable of uniformly storing, analyzing and managing parameters of the biochemical pool of the municipal sewage plant.
In order to make the person skilled in the art understand the operation parameter management system of the biochemical pool of the municipal sewage treatment plant provided by the embodiment of the disclosure, the above subsystems are explained in detail.
In this embodiment, the data reporting subsystem is in communication interaction with different target sewage treatment plants through the internet of things, and relevant data reported by each target sewage treatment plant in the system is stored in the local server according to a specific structure.
In this embodiment, the water quality detection data is laboratory-related water quality detection data, and the local server may be a rack server, a blade server, a tower server, or a rack server, and it is understood that the local server may be an independent server or a server cluster formed by a plurality of servers.
In the embodiment, the data inspection subsystem and the data filling subsystem are in communication interaction, and the filled data stored in the filling subsystem is preliminarily checked and verified according to the built-in water quality characteristic database. The data inspection and verification comprises the steps of comparing the water quality data in the data filling subsystem with the water quality characteristic parameters in the water quality characteristic database according to a preset data analysis method, and inspecting suspicious data in the filled water quality data.
The data analysis method may be a mathematical statistical analysis method, including but not limited to: threshold method, relative standard deviation analysis method, linear regression analysis method.
The data inspection rule includes:
analyzing the content proportion of pollutants in municipal sewage, including but not limited to: ammonia nitrogen/total kjeldahl nitrogen, particulate Chemical Oxygen Demand (COD)/volatile suspended solids, total kjeldahl nitrogen/COD, total phosphorus/COD, volatile floating solids/total suspended solids, particulate organic nitrogen/particulate COD;
for suspicious data, tagging is performed by tags: the priority of the suspicious data labels in the water quality data is in the following sequence from high to low: BOD 5 More than volatile suspended solids, more than total suspended solids, more than COD, more than total nitrogen, more than total phosphorus, more than ammonia nitrogen, more than phosphate and more than nitric acid nitrogen, and the items directly endowed with suspicious data labels in the operation parameters comprise: internal reflux ratio, external reflux ratio, total suspended solid of effluent of the secondary sedimentation tank and external reflux nitric acid nitrogen concentration. In this embodiment, no suspicious data tag is added to the process parameter.
When the input water quality data is checked by the data checking rule to find errors, the following steps are carried out: the ratio of the granular chemical oxygen demand/the volatile solid exceeds the water quality characteristic range of the municipal sewage in the area in the water quality characteristic database, and the data of the granular chemical oxygen demand or the data of the volatile solid cannot be confirmed to be wrong. By adding the priority of the suspicious data label, the suspicious data with the error can be preferentially judged to be volatile solid.
After the suspicious data label is added, when the aim of accurate model correction cannot be achieved by independently adjusting the model parameters in the subsequent model correction calculation process, the model bidirectional correction can be further achieved by correcting the input data with the suspicious data label (within the allowable deviation range), otherwise, the input data is prompted to be retested.
In the embodiment, the model analysis subsystem is in communication interaction with the data inspection subsystem, inspected data is called and substituted into the activated sludge model for calculation, bidirectional correction of the model is automatically realized according to a built-in model parameter database and a data tag, and a related calculation result is output to a display interface.
Specifically, the Activated sludge model may be a simplified Activated sludge 2d model (Activated sludge model No. 2d).
The preset parameters of the activated sludge 2d model mainly come from research and practice in European and American areas, and typical differences exist between part of model parameters and foreign preset parameters, so that a water quality characteristic database and a model parameter database accumulated based on domestic application practice are linked to assist in model correction. Through model correction, the model can more accurately simulate the actual operation condition of domestic sewage treatment plants, so that the scientificity and rationality of regulation and control and optimization suggestions obtained through model calculation are ensured.
In the embodiment, the condition analysis subsystem and the model analysis subsystem are in communication interaction, the results of iterative computation in the model analysis subsystem are screened and sorted according to the set parameter range and the optimization target, the process proposal parameters are analyzed, and the related data and conclusion are output to the display interface.
Example two
The embodiment further describes the operation parameter management system of the biochemical pool of the municipal sewage treatment plant on the basis of the first embodiment.
The operation parameter management system for the biochemical pool of the municipal sewage treatment plant can fully mine the effective value in the data information based on daily reported experimental data for fine management and guidance of production operation of the biochemical pool, and can also solve the problem that the municipal sewage treatment plant is lack of process technicians. The system specifically comprises the steps of establishing a data centralized storage center of the sewage treatment plant through means of Internet of things and the like, realizing data validity examination and mathematical model correction around a water quality characteristic database and a model parameter database technology, simplifying the data supplement sampling requirement, analyzing the operation optimization space of the biochemical tank by taking a target requirement as a guide, and finally realizing cloud expert management and technical decision support of the operation of the biochemical tank of the municipal sewage treatment plant.
Fig. 2 is a schematic structural diagram of a data reporting subsystem of a biochemical tank operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present disclosure, and as shown in fig. 2, the data reporting subsystem includes: the device comprises a data storage unit, an information identification unit and a data management unit; wherein the content of the first and second substances,
the data storage unit comprises a water quality parameter reporting module, an operation parameter reporting module and a process parameter reporting module, is in communication interaction, and can acquire relevant water quality detection data, actual operation parameter data and process design parameter data of a laboratory according to a preset requirement and store the data in the data storage unit according to a preset data storage structure;
the information identification unit is in communication interaction with the data storage unit, comprises a date information filling module and a water plant information filling module, and can identify and store the filled date information and the water plant basic information in the data storage unit according to a preset information interaction structure according to preset requirements;
the data management unit is respectively communicated and interacted with the data storage unit and the information identification unit, comprises a data export module and a data visual module, and can export the data and the information in the data storage unit through the data export module or output and display the data and the information through the data visual module.
The data filling subsystem collects filling data and information of various municipal sewage treatment plants through the technology of Internet of things, wherein the filling data and information comprise water quality parameter data, operation parameter data, process parameter data, date information, water plant information and the like, and digital and information management of the sewage treatment plants is realized. The data and information collected by the data filling subsystem have uniformity and normalization, the data and information are communicated and stored through a prefabricated data storage and information interaction structure, the specific structure is a storage structure design of date information-water plant information-data content-data type-sampling position-data name-data unit, and a data label is reserved.
Fig. 3 is a schematic diagram of a data storage structure of a data storage unit in a data reporting subsystem of a biochemical tank operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present application, and as shown in fig. 3, the data structure is entirely carried by information, and includes date information, water plant information, and data information. The water plant information includes name, position, process type, and reporter of water plant. The related data is based on the data information, and the data type, sampling position, name, unit and the like are specifically defined, and finally, a data structure for associating all information with the description is formed. When manual newspaper filling is carried out, only corresponding information and data need to be provided, and the data can be automatically sorted and stored into the data storage format. The digital management of the data and the information of the municipal sewage treatment plant is realized.
The data checking subsystem in this embodiment includes: data inspection unit, data label unit, wherein:
the data inspection unit is respectively communicated and interacted with the data filling subsystem and the data label unit and comprises a water quality characteristic database module, the data inspection unit can compare water quality data in the data filling subsystem with water quality characteristic parameters in the water quality characteristic database according to a preset data analysis method, inspect suspicious data in the filled water quality data and send inspection results to the data label unit;
the data label unit is respectively communicated and interacted with the data filling subsystem and the data inspection unit, and comprises a label leading-in module, wherein the data label unit can add a data label to suspicious data in data information according to a preset data analysis method and a data label rule according to an inspection result of the data inspection unit and lead the suspicious data into water quality parameter data in the data filling subsystem.
Fig. 4 is a schematic diagram showing a logical relationship between a data checking subsystem and other subsystems of a biochemical pool operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present disclosure, and as shown in fig. 4, the data checking subsystem first identifies suspicious data in data information according to a preset data analysis method and a data tag rule, adds a data tag to the relevant suspicious data, and stores the added tag in a data tag position reserved in a data storage unit in a filling subsystem. The method realizes the primary check on the effectiveness of the operation parameters of the biochemical pool of the municipal sewage treatment plant, and the checking result is used as the bottom data support of model calculation and condition optimization analysis.
The model analysis subsystem in this embodiment includes: the system comprises an activated sludge model calculation unit, a model correction unit, a model parameter database module, a data export module and a data visualization module; wherein the content of the first and second substances,
and the activated sludge model calculation unit is respectively in communication interaction with the data checking subsystem and the model correction unit, can call the data checked by the data checking subsystem, substitutes the data into the built-in activated sludge model for calculation, and sends the calculation result of the sludge model to the model correction unit. The calculation result of the sludge model comprises 2 groups of aeration tank sludge characteristic results, which specifically comprise: the sludge concentration MLSS of the aeration tank, and the organic suspended solid proportion MLVSS of the aeration tank to MLSS; and the water outlet results of the 3 groups of secondary sedimentation tanks specifically comprise: the ammonia nitrogen concentration of the effluent of the secondary sedimentation tank, the total nitrogen concentration of the effluent and the total phosphorus concentration of the effluent.
The model correction unit is respectively communicated and interacted with the data filling subsystem and the activated sludge calculation unit, comprises a model parameter database module, a data export module and a data visual module, can call parameters in the model parameter database module according to a preset model correction method, corrects the model based on the calculation result of the sludge model, compares the calculation results of the 5 groups of models with the actual measurement value, and considers that the model correction is successful when the simulation result is in accordance with the actual measurement value. And meanwhile, the data added with the suspicious data labels after the data inspection subsystem is checked is subjected to bidirectional correction. The corrected result can be exported by the data export module or can be output and displayed by the data visual module.
The preset model correction method adopted by the model analysis subsystem comprises the following steps: the corrected model parameters include, but are not limited to: sludge age, 20 ℃ maximum specific growth rate of nitrifying bacteria, ash content and phosphorus content, phosphorus content in volatile suspended matters, nitrogen content in volatile suspended matters, heterotrophic bacteria oxygen half-saturation coefficient, iron salt adding coefficient, aluminum salt adding coefficient and 20 ℃ anaerobic denitrification rate of heterotrophic bacteria. According to the suspect data tag, its correction value/measurement value bi-directionally acceptable correction range: BOD 5 Less than 30 percent, less than 25 percent of volatile suspended solid, less than 25 percent of total suspended solid, less than 20 percent of COD, less than 20 percent of total nitrogen, less than 15 percent of total phosphorus, less than 15 percent of ammonia nitrogen, less than 5 percent of phosphate, less than 5 percent of nitric acid nitrogen, less than 25 percent of internal reflux ratio, less than 20 percent of external reflux ratio, less than 25 percent of total suspended solid in effluent of the secondary sedimentation tank, and less than 5 percent of external reflux nitric acid nitrogen concentration.
The correction process of the model comprises three steps:
step 1: and checking the original data according to the water quality parameter database, adding a suspicious data label, substituting the suspicious data label as a model input value into the model, and calculating a calculation result based on the default parameters. At this time, the model mainly outputs 5 calculation results, including: 2 groups of aeration tank sludge characteristic results and 3 groups of secondary sedimentation tank effluent results. Comparing the 5 groups of calculation results with the measured values, and when the simulation results are completely fitted with the measured values, considering that the model is corrected successfully, otherwise, entering the step 2;
step 2: model parameters are adjusted in sequence within the correction range according to the correction range (comprising 8 of sludge age, 20 ℃ specific growth rate of nitrobacteria and the like) of 8 parameters specified in the model parameter database. When the calculation results of the 5 groups of models in the first step are fitted with the measured values, the models are considered to be corrected successfully, otherwise, the step 3 is carried out;
and step 3: and (3) according to the suspicious label and the allowable correction range of the given water quality and operation parameters in the preset model correction method, correcting the suspicious data within the allowable deviation range, substituting the suspicious data into the model as an input value, repeating the step (2), and when the calculation results of the 5 groups of models in the step (1) are fitted with the measured values, considering that the bidirectional correction of the model is successful, otherwise, the model cannot be corrected accurately. The reason is that there is a large error in the input data and the need to retest the input data is suggested.
Fig. 5 is a schematic diagram showing a logical relationship between a model analysis subsystem and other subsystems of a biochemical tank operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present disclosure, and as shown in fig. 5, the model analysis subsystem retrieves parameters from a model parameter database module to correct a model by using data checked by a data checking subsystem, and performs bidirectional correction on data with a suspicious data tag. The correction process carries out automatic data matching and iterative computation according to a preset model correction method, and the corrected model data is stored additionally, so that the deep mining of the data information of the biochemical pool of the municipal sewage treatment plant is realized.
The condition analysis subsystem in this embodiment includes ability analysis unit, condition optimization unit, and wherein, ability analysis unit includes dephosphorization ability analysis module, nitration ability analysis module, denitrification ability analysis module, and condition optimization unit includes denitrogenation analysis module, row's mud analysis module, mud concentration analysis module, adds medicine volume analysis module, reflux ratio analysis module, aeration analysis module, condition import module, data export module, the visual module of data.
The capacity analysis unit is in communication interaction with the model analysis subsystem, and can complete steady-state calculation on the phosphorus removal capacity, the nitrification capacity and the denitrification capacity of the input working condition on the basis of the model corrected by the model analysis subsystem;
the condition optimizing unit is in communication interaction with the capacity analyzing unit, can guide input relevant condition working conditions of denitrification, sludge discharge, sludge concentration, dosage, reflux ratio and aeration quantity into the capacity analyzing unit through the condition guide-in module, sequentially completes steady-state calculation results of the relevant condition working conditions and analyzes and sorts the optimal working conditions, and each calculation result is guided out through the data guide-out module or is output and displayed through the data visual module.
Fig. 6 is a schematic diagram of a logical relationship between a condition analysis subsystem and other subsystems of a biochemical tank operation parameter management system of a municipal sewage treatment plant according to another embodiment of the present disclosure, and as shown in fig. 6, the condition analysis subsystem respectively evaluates and calculates phosphorus removal capability, nitrification capability, and denitrification capability of the biochemical tank system by using corrected model data, and simultaneously can set an arbitrary combination of optimization conditions according to a management target requirement, which specifically includes: denitrogenation amount, sludge discharge amount, sludge concentration, dosage, reflux ratio and aeration amount. And sequentially finishing steady state calculation results of the relevant condition working conditions, and analyzing and sequencing to obtain the optimal working conditions. The cloud expert management and technical decision support of the operation parameters of the biochemical pool of the municipal sewage treatment plant are realized, and further the operation of the biochemical pool of the municipal sewage treatment plant from the extensive experience management to the refined operation based on data driving is realized.
The operation parameter management system for the biochemical pool of the municipal sewage treatment plant at least has the following advantages: (1) The digital management of data and information of the sewage treatment plant is realized, the data management level of the water plant can be effectively improved, and the data management capacity of a plurality of water plants is comprehensively raised by a group end; (2) The dependence of municipal sewage treatment plants on the professional level of process engineers is reduced, and the capability of autonomously solving the process problem of the biochemical tank is improved; (3) As a decision management tool, the method is helpful for improving the professional level and technical capability of technicians; (4) Providing data information support for the personnel assessment and performance evaluation of the sewage treatment plant by the group end; (5) The deep mining of the effective data information of the municipal sewage treatment plant is realized, and the guiding value of data drive to the operation is exerted.
In the above embodiments disclosed in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods, apparatus, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Furthermore, it should be noted that in the description of the present specification, the description of the term "one embodiment", "some embodiments", "examples", "specific examples" or "some examples", etc., means that a specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, the claims should be construed to include preferred embodiments and all changes and modifications that fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include such modifications and variations.
Claims (10)
1. A biochemical pond operation parameter management system of municipal sewage treatment plant, characterized by that, this system includes:
the data filling subsystem is used for collecting sewage treatment related data filled by each target sewage treatment plant and storing the sewage treatment related data in the local server, wherein the sewage treatment related data comprise water quality detection data, actual operation parameter data and process design parameter data;
the data inspection subsystem is in communication connection with the data filling subsystem and is used for performing suspicious data inspection on the sewage treatment related data according to the water quality characteristic parameters stored in the preset water quality characteristic database and the preset data inspection rules and determining suspicious data and normal data;
the model analysis subsystem is in communication connection with the data checking subsystem and is used for inputting the normal data into the activated sludge model to obtain a sludge model calculation result, performing model correction on the activated sludge model according to parameters in a preset model parameter database and the sludge model calculation result, and performing bidirectional correction on the suspicious data;
the condition analysis subsystem is in communication connection with the model analysis subsystem and is used for carrying out reaction capacity analysis based on the corrected activated sludge model to obtain a capacity analysis result; and performing steady state calculation of relevant working conditions based on a preset optimization target and the corrected activated sludge model to obtain the optimal working conditions.
2. The municipal sewage treatment plant biochemical pond operating parameter management system according to claim 1, further comprising:
and the management terminal is respectively in communication connection with the model analysis subsystem and the condition analysis subsystem and is used for displaying the calculation results and the analysis results generated by the model analysis subsystem and the condition analysis subsystem.
3. The biochemical tank operation parameter management system of the municipal sewage treatment plant according to claim 1, wherein the data-filling subsystem comprises a data storage unit, an information identification unit;
the data storage unit is used for acquiring the water quality detection data, the actual operation parameter data and the process design parameter data and storing the data according to a preset data storage structure;
and the information identification unit is used for acquiring filling date information and water plant basic information, identifying according to a preset information interaction structure and storing in the data storage unit.
4. The municipal sewage treatment plant biochemical pool operation parameter management system according to claim 3, wherein the data inspection subsystem comprises a data inspection unit, a data tag unit, a water quality characteristic database unit;
the data inspection unit is in communication interaction with the data filling subsystem and is used for comparing the water quality data in the data filling subsystem with the water quality characteristic parameters in the water quality characteristic database unit according to a preset data analysis method, inspecting suspicious data in the water quality data and sending inspection results to the data label unit;
and the data label unit is in communication interaction with the data filling subsystem and is used for adding a data label to suspicious data according to a preset data analysis method and a data label rule according to the inspection result of the data inspection unit and importing the suspicious data into the water quality parameter data in the data filling subsystem.
5. The system for managing the operating parameters of the biochemical tanks of the municipal sewage treatment plant according to claim 4, wherein the data analysis method is a mathematical statistical analysis method, and the analysis content is the content proportion of pollutants in the municipal sewage; the data tag rule includes:
the priority of the suspicious data labels in the water quality data is in the following sequence from high to low: BOD 5 Volatile suspended solid > total suspended solid > COD > total nitrogen > total phosphorus > ammonia nitrogen > phosphate > nitric acidNitrogen;
the items directly labeled with suspicious data in the operation parameters comprise: the internal reflux ratio, the external reflux ratio, the total suspended solids of the effluent of the secondary sedimentation tank and the concentration of the external reflux nitric acid nitrogen.
6. The biochemical tank operation parameter management system of the municipal sewage treatment plant according to claim 1, wherein the model analysis subsystem comprises an activated sludge model calculation unit, a model correction unit, a model parameter database unit,
the activated sludge model calculating unit is in communication interaction with the data checking subsystem and is used for calling the data checked by the data checking subsystem and inputting the data into the activated sludge model to obtain a sludge model calculating result;
and the model correction unit is in communication interaction with the data filling subsystem and is used for calling parameters in the model parameter database unit according to a preset model correction method, correcting the activated sludge model based on the sludge model calculation result, and performing bidirectional correction on the data added with the suspicious data label after the data inspection subsystem checks to obtain corrected data.
7. The biochemical tank operation parameter management system of the municipal sewage treatment plant according to claim 6, wherein the preset model correction method is:
the corrected model parameters include, but are not limited to: sludge age, 20 ℃ maximum specific growth rate of nitrifying bacteria, ash content and phosphorus content, phosphorus content in volatile suspended matters, nitrogen content in volatile suspended matters, heterotrophic bacteria oxygen half-saturation coefficient, iron salt adding coefficient, aluminum salt adding coefficient and 20 ℃ anaerobic denitrification rate of heterotrophic bacteria;
according to the suspicious data tag, the bidirectional acceptable correction range of the correction value/measurement value comprises: BOD 5 Less than 30 percent, less than 25 percent of volatile suspended solid, less than 25 percent of total suspended solid, less than 20 percent of COD, less than 20 percent of total nitrogen, less than 15 percent of total phosphorus, less than 15 percent of ammonia nitrogen, less than 5 percent of phosphate and less than 5 percent of nitric acid nitrogenThe internal reflux ratio is less than 25 percent, the external reflux ratio is less than 20 percent, the total suspended solid of the effluent of the secondary sedimentation tank is less than 25 percent, and the concentration of the external reflux nitric acid nitrogen is less than 5 percent.
8. The system for managing the operation parameters of the biochemical tanks of the municipal sewage treatment plant according to claim 6, wherein the sludge model calculation results comprise aeration tank sludge characteristic results and effluent results of a secondary sedimentation tank;
the characteristic result of the sludge in the aeration tank is the sludge concentration in the aeration tank and the proportion of organic suspended solids in the aeration tank;
the effluent result of the secondary sedimentation tank comprises: the ammonia nitrogen concentration of the effluent of the secondary sedimentation tank, the total nitrogen concentration of the effluent and the total phosphorus concentration of the effluent.
9. The municipal sewage treatment plant biochemical pool operation parameter management system according to claim 1, wherein the condition analysis subsystem comprises a capacity analysis unit, a condition optimization unit;
the capacity analysis unit is in communication interaction with the model analysis subsystem and is used for carrying out steady-state analysis and calculation on the phosphorus removal capacity, the nitrification capacity and the denitrification capacity based on the corrected activated sludge model to obtain a capacity analysis result;
and the condition optimization unit is used for importing the input relevant condition working condition data serving as an optimization target into the capacity analysis unit, generating a steady-state calculation result of the relevant condition working condition, and determining an optimal working condition based on the steady-state calculation result.
10. The system of claim 1, wherein the relevant condition data comprises one or more of denitrification data, sludge discharge data, sludge concentration data, dosing data, reflux ratio data, and aeration data.
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| CN116307565B (en) * | 2023-03-06 | 2023-12-01 | 物产中大公用环境投资有限公司 | Three-dimensional digital twin operation management system for real-time analog simulation deduction of sewage treatment |
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