CN118333347B - Steelmaking wastewater environmental protection treatment monitored control system - Google Patents
Steelmaking wastewater environmental protection treatment monitored control system Download PDFInfo
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Abstract
The invention discloses an environment-friendly steelmaking wastewater treatment monitoring system, and relates to the technical field of wastewater treatment monitoring. The system comprises a data acquisition module, a data processing module and a data output module; the data acquisition module collects a real-time monitoring data set and a basic data set, wherein the basic data set comprises a wastewater treatment record data set, a device information data set and a wastewater type data set. The invention can display complex wastewater treatment flow and equipment in a visual form, is convenient for management staff to intuitively understand and manage, can estimate the treatment time required by each link, provides decision support for management staff, utilizes a historical wastewater treatment record data set through a demand regulation method, combines real-time monitoring data, can quickly generate a real-time demand list, and regulates the treatment equipment according to the data and remote monitoring software, thereby improving the use efficiency of the data and reducing unnecessary experiment and debugging time.
Description
Technical Field
The invention relates to the technical field of wastewater treatment monitoring, in particular to an environment-friendly steelmaking wastewater treatment monitoring system.
Background
The steelmaking wastewater mainly comes from production links of iron making, steelmaking, steel rolling and the like, and comprises blast furnace gas washing water, slag flushing wastewater, steelmaking wastewater, steel rolling wastewater and the like, and the variety of the wastewater is more due to the complex process flow of a steelmaking plant, in the process of treating steelmaking wastewater, a plurality of monitoring devices are utilized to monitor the wastewater, a monitoring system is also adopted to cooperate with the plurality of monitoring devices to monitor the characteristics of the wastewater on line, and then the treatment devices or treatment links are adjusted to deal with the treatment of the steelmaking wastewater of different types.
A papermaking wastewater treatment monitoring method and system with publication number CN117964019A, step one: the method and the system can be used for optimizing treatment of data according to the problem of uneven treatment of a papermaking wastewater treatment pool, adjusting the treatment duration of the papermaking wastewater according to the treatment effect of the papermaking wastewater in the process of the papermaking wastewater treatment monitoring, and changing the set duration of the papermaking wastewater treatment in a self-adaptive manner, so that the reasonable setting of the treatment time of the papermaking wastewater treatment equipment is carried out according to the treatment effect of the papermaking wastewater, the accuracy of the papermaking wastewater treatment monitoring can be ensured, the excessive operation of equipment resources can be effectively avoided, and the cost is saved.
The technology focuses on utilizing the multipoint sampling analysis treatment effect to adjust the treatment duration of the papermaking wastewater, avoiding the transitional operation of equipment resources, but the steelmaking wastewater and the papermaking wastewater have obvious differences in components, pollutant types and concentrations, the steelmaking wastewater treatment process is more complex and cannot be suitable for the steelmaking wastewater treatment process, the existing steelmaking wastewater treatment links are complex, the monitoring equipment is more, the corresponding monitoring equipment is mainly used for displaying corresponding data, the data are not communicated enough, when facing different types of steelmaking wastewater treatment, the parameters of the treatment equipment of the related treatment links need to be adjusted, the manual adjustment is more troublesome, the treatment duration of the corresponding links cannot be updated timely, and the problems can lead to decision errors of decision makers and cause unnecessary waste.
Disclosure of Invention
The invention aims to provide an environment-friendly steelmaking wastewater treatment monitoring system for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the environment-friendly steelmaking wastewater treatment monitoring system comprises a data acquisition module, a data processing module and a data output module;
the data acquisition module is used for collecting a real-time monitoring data set and a basic data set, wherein the basic data set comprises a wastewater treatment record data set, an equipment information data set and a wastewater type data set;
the data processing module establishes a wastewater treatment data model based on a real-time monitoring data set, an equipment information data set and an environment-friendly treatment process, visualizes each treatment link and corresponding treatment equipment based on the wastewater treatment data model, analyzes the estimated time required by each treatment link of the treatment based on the real-time monitoring data set, judges whether each treatment link corresponding to the wastewater treatment needs to be regulated based on the wastewater type data set and the real-time monitoring data set, and can utilize a demand regulation method to regulate the corresponding equipment of the corresponding treatment link and update the estimated time of the corresponding treatment link if the treatment link needs to be regulated;
The data output module is used for counting and outputting the final duration of the wastewater treatment based on the estimated duration of each treatment link, outputting a corresponding type of wastewater treatment record based on the wastewater treatment record data set, and finally judging the environmental protection treatment of the wastewater based on the final duration, the real-time monitoring data set and the corresponding type of wastewater treatment record to obtain a judgment report;
The demand conditioning method includes:
s1: establishing contact, wherein corresponding processing equipment of each processing link establishes contact through a proprietary local area network;
S2: the method comprises the steps of demand issuing, namely issuing a real-time demand list through a private local area network based on a wastewater type data set, a wastewater treatment record data set and a real-time monitoring data set;
S3: the checking list is based on the real-time demand list, the corresponding processing links and the corresponding processing equipment are scheduled by the wastewater processing data model for checking, and after no errors exist, an execution command is issued;
S4: and executing the command, and adjusting parameters of corresponding processing equipment of the corresponding processing link through remote monitoring software based on the execution command.
Further, the method for creating the real-time demand list further includes:
A1: sending a request, namely sending a request list based on a private local area network;
A2: adding an adjustment requirement, confirming the addition of the type of the treated wastewater through a wastewater type data set based on the request list, dispatching out wastewater treatment records with the same wastewater type and the most same process parameters from a wastewater treatment record data set based on the wastewater type and a real-time monitoring data set, obtaining a historical adjustment requirement list through the wastewater treatment records, adding the historical adjustment requirement list after confirmation, and finally adjusting parameters, treatment links or treatment equipment in the historical adjustment requirement list based on the real-time monitoring data set to obtain the real-time requirement list.
Further, the method for creating the wastewater treatment data model comprises the following steps:
B1: the method comprises the steps of identifier allocation, allocating a unique primary identifier to each processing link based on an environment-friendly processing technology, then allocating a corresponding unique secondary identifier based on each processing device in each processing link on the basis of the corresponding primary identifier, and adding attribute information for each processing link and each processing device;
B2: the tree structure is formed by taking the whole environment-friendly processing flow as a root node, taking each processing link as a first-level sub-node, taking processing equipment in each processing link as a second-level sub-node, and finally organizing according to the hierarchy and the logic relation of the processing equipment in the processing flow;
B3: data association, namely associating the real-time monitoring data set with a corresponding link and a corresponding processing device;
B4: structural design, selecting a suitable data model structure, designing an extensible data structure, and updating at regular time to support dynamic updating of the whole wastewater treatment data model;
B5: and developing an interface, namely developing a visual interface by utilizing a series of tools and frames, and displaying a wastewater treatment data model and a treatment flow.
Still further, the method for creating the visual interface includes:
c1: designing an interface, namely designing a user interface blueprint by using a graphic design tool, designing a front view to show the whole wastewater treatment flow, designing a detail view to show detailed information of a specific link or equipment, and designing interaction elements such as buttons, sliders and drop-down menus so as to facilitate interaction between a user and the interface;
c2: the method comprises the steps of constructing a back end, selecting a back end development framework and a database to define and develop a back end API, providing necessary data support for a front end, and realizing real-time data pushing by using related technologies;
And C3: and (3) front-end implementation, namely selecting a front-end framework suitable for developing a visual interface to construct an interface layout based on the user interface blueprint, and selecting a data visual library to draw a wastewater treatment flow chart and a related chart, so as to obtain the visual interface.
Furthermore, the data processing module is connected with a control terminal, and each processing device establishes contact with the control terminal through a private local area network, and the method for creating the private local area network comprises the following steps:
C1: information acquisition, namely acquiring networking information of a data processing module, each processing device and a control terminal, wherein the networking information comprises a device IP;
C2: the equipment is connected, and the control terminal automatically distributes a communication channel to enable the IP of the data processing module to be matched with the IP of each processing equipment;
And C3: and configuring networking, wherein the control terminal configures corresponding network services and security measures for the communication channel, and a private local area network is created.
Further, the method for estimating the duration includes:
D1: preliminary duration estimation, obtaining corresponding wastewater types and process parameters based on the wastewater type data set and the real-time monitoring data set, and scheduling wastewater treatment records with the same wastewater types and the most same process parameters based on the wastewater treatment record data set to obtain preliminary estimated duration;
D2: the estimated time length is updated, the time length required by wastewater treatment in each link is calculated based on the operation logic and influence factors of each treatment link of the environment-friendly treatment process, and the preliminary estimated time length is further updated to obtain the estimated time length required by each link of the treatment.
Further, the method for creating the evaluation report includes:
T1: generating conditions, namely, based on the wastewater treatment data model, giving an end command after the wastewater treatment is finished, and generating a report list;
T2: data collection, namely adding estimated time length required by each integrated link treatment based on a report list, adding and collecting real-time monitoring data in the wastewater treatment process, and finally adding and extracting wastewater treatment records of corresponding types from a wastewater treatment record data set based on a wastewater type data set;
T3: and comprehensively judging the environmental protection treatment of the wastewater based on the final time length, the real-time monitoring data set and the corresponding type of wastewater treatment record.
Further, the execution command includes a parameter setting value, an execution time and a priority, and the execution command is encoded into a format recognized by the remote monitoring software and finally transmitted to the remote monitoring software through the private lan.
Further, the equipment used for monitoring the data set in real time comprises an online water quality sampler, an online PH tester, an online conductivity meter, an online dissolved oxygen meter and an online total nitrogen water quality monitor.
Compared with the prior art, the invention has the beneficial effects that:
The environment-friendly steelmaking wastewater treatment monitoring system can display complex wastewater treatment flows and equipment in a visual mode through a wastewater treatment data model in a data processing module, is convenient for management personnel to intuitively understand and manage, can estimate the treatment duration required by each link based on analysis of a real-time monitoring data set and an environment-friendly treatment process, can update the estimated duration after adjustment of treatment equipment corresponding to a treatment environment, provides decision support for management personnel, utilizes a historical wastewater treatment record data set through a demand adjustment method, combines real-time monitoring data, can quickly generate a real-time demand list, adjusts the treatment equipment according to the data and matched with remote monitoring software, fully utilizes the historical data, improves the use efficiency of the data, reduces unnecessary experiment and debugging time, and finally outputs a judgment report according to the wastewater treatment record and the real-time monitoring data, thereby accurately reflecting the effect and the environment-friendly level of wastewater treatment and providing references for environmental protection management and decision of enterprises.
Meanwhile, a unique identifier is allocated to each processing link and each device, a tree structure is constructed, a clear and logical wastewater processing flow view can be provided, a manager can quickly understand and track each link and device of wastewater processing, the association of a data set and the corresponding processing link and device is monitored in real time, the accuracy and instantaneity of data are ensured, real-time processing state information and performance data are provided for the manager, an expandable data structure is designed, a wastewater processing data model is updated at regular time, future service change and expansion requirements can be met, the latest state of the data model is kept, long-term stable operation of the system is ensured, interactive elements and real-time data pushing functions in a user interface can be realized, real-time interaction with the system is realized, various conditions and requirements are quickly responded, and the response speed and processing efficiency of the system are improved.
Drawings
FIG. 1 is a schematic diagram of the structural principle of the present invention;
FIG. 2 is a schematic diagram of the principle and structure of the demand conditioning method according to the present invention;
FIG. 3 is a schematic diagram of a visual interface blueprint structure according to the present invention;
Fig. 4 is a schematic structural diagram of a duration estimation method according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a steelmaking wastewater environmental protection treatment monitoring system which can adapt to the monitoring of each link and each treatment device in an environmental protection treatment process, can provide real-time treatment state information and performance data by matching a plurality of monitoring devices with a wastewater treatment data model, can provide real-time treatment state information and performance data, can adjust corresponding treatment devices of corresponding links by matching a demand regulation method with remote monitoring software, can estimate the time length of each link by a data processing module, can judge the wastewater environmental protection treatment of the time to obtain a judgment report, is beneficial to a manager to optimize wastewater treatment flow and parameter setting according to data and reports provided by the system, improves the environmental protection and economy of wastewater treatment, and needs to install corresponding matched software in a control terminal section and each treatment device when using the remote monitoring software, for example, rayLink is required to be installed on the treatment device (a controlled terminal) and is required to be configured as necessary when using RayLink remote control software, rayLink is also installed on a control terminal (a main control terminal), and a password is required to be opened at the controlled terminal RayLink or the controlled terminal is required to be connected with a password-stable-running terminal, and the password is required to be stably connected to a controlled terminal (the controlled terminal) or the controlled terminal is required to be stably run after the password is connected to a controlled terminal is connected.
As shown in fig. 1 to 4, the present invention provides a technical solution: the environment-friendly steelmaking wastewater treatment monitoring system comprises a data acquisition module, a data processing module and a data output module:
The data acquisition module is used for collecting a real-time monitoring data set and a basic data set, wherein the basic data set comprises a wastewater treatment record data set, a device information data set and a wastewater type data set;
The data processing module establishes a wastewater treatment data model based on a real-time monitoring data set, an equipment information data set and an environment-friendly treatment process, visualizes each treatment link and corresponding treatment equipment based on the wastewater treatment data model, analyzes the estimated time required by each treatment link of the treatment based on the real-time monitoring data set, judges whether each treatment link corresponding to the wastewater treatment needs to be regulated based on the wastewater type data set and the real-time monitoring data set, and can utilize a demand regulation method to regulate the corresponding equipment of the corresponding treatment link and update the estimated time of the corresponding treatment link if the wastewater treatment link needs to be regulated;
The data output module is used for counting and outputting the final duration of the wastewater treatment based on the estimated duration of each treatment link, outputting a corresponding type of wastewater treatment record based on the wastewater treatment record data set, and finally judging the environmental protection treatment of the wastewater based on the final duration, the real-time monitoring data set and the corresponding type of wastewater treatment record to obtain a judgment report.
It should be noted that the basic data set further includes basic information: monitoring point name, monitoring time and water quality index: pH/dissolved oxygen/turbidity/conductivity/chemical oxygen demand/heavy metal content, flow data: instantaneous and cumulative flow, device status, anomaly record: exception type/exception time/handling measures, other information: temperature/pressure/other information or events that require special instructions, the wastewater treatment record data set includes basic information: treatment plant name and treatment date and time, wastewater source and properties, treatment process parameters: treatment process/treatment unit/water quality of inlet water and outlet water, flow and load and medicament addition, energy consumption and resource consumption, equipment operation and maintenance: run time/abnormal situation recording/equipment maintenance, data analysis and reporting and recording of post wastewater treatment discharge conditions including discharge port location, discharge criteria and actual discharge data, the equipment information data set content including basic information: device name/number/device location/manufacturer/brand/production date/installation date, device parameters: processing capacity/power/energy consumption/water inlet/water outlet pipe caliber/equipment size, operation and maintenance: operating parameters/maintenance cycles/spare parts, process and function in place and fault records and handling: the fault type/time of occurrence/treatment measures and the base data set further comprises a wastewater treatment flow chart for subsequent visualization.
As shown in fig. 2, the demand conditioning method includes: s1: establishing contact, wherein corresponding processing equipment of each processing link establishes contact through a proprietary local area network, and S2: the method comprises the following steps of issuing a real-time demand list through a proprietary local area network based on a wastewater type data set, a wastewater treatment record data set and a real-time monitoring data set, and S3: and checking the list, namely, based on the real-time demand list, the wastewater treatment data model dispatches out a corresponding treatment link to be checked with corresponding treatment equipment, and issuing an execution command after error is avoided, and S4: and executing the command, and adjusting parameters of corresponding processing equipment of the corresponding processing link through remote monitoring software based on the execution command.
It should be noted that, the remote monitoring software may select RayLink, before accessing the processing device of each link to the private lan, the device authentication should be performed to ensure that only legal and compliant devices can access the network, after establishing a connection, real-time monitoring should be performed on the devices so as to discover and process any potential faults or problems in time, before issuing a real-time demand list based on the wastewater type data set, the wastewater treatment record data set and the real-time monitoring data set, verification and cleaning should be performed on these data to ensure accuracy and reliability of the data, detailed recording and audit are performed on the verification process so as to follow-up tracking and verification, the data processing module can search the information of the wastewater treatment data model from the database in combination with database query language (such as SQL), and compare the corresponding device information and processing links in the real-time demand list with the wastewater treatment data model by writing program logic, if a difference is found, determine whether to correct the real-time demand list is required or trigger abnormal treatment by the program logic, meanwhile, the operator can monitor and guide through the visual interface, then the remote monitoring software RayLink sends a command to the private lan to adjust the device, and automatically verify the quality of the corresponding device by means of the data by means of the read command or the program command, and automatically verify command by the transmission command to the proper command or the data by means of the transmission command 35, and the transmission command is performed by the user, and the quality of the program command is automatically verified by the user.
As shown in fig. 2, the method for creating the real-time demand list further includes: a1: sending a request, namely sending a request list based on a proprietary local area network, wherein A2: adding an adjustment requirement, confirming the addition of the type of the treated wastewater through a wastewater type data set based on the request list, dispatching out wastewater treatment records with the same wastewater type and the most same process parameters from a wastewater treatment record data set based on the wastewater type and a real-time monitoring data set, obtaining a historical adjustment requirement list through the wastewater treatment records, adding the historical adjustment requirement list after confirmation, and finally adjusting parameters, treatment links or treatment equipment in the historical adjustment requirement list based on the real-time monitoring data set to obtain the real-time requirement list.
It should be noted that, in addition to the type of wastewater and process parameters, other factors (such as processing time, equipment status, etc.) may be considered to screen the historical processing records, for parameters, processing links or processing equipment in the historical adjustment demand list, weight adjustment may be performed according to the real-time monitoring data set to reflect the actual situation of the current processing environment, when an abnormality or error occurs in the process of creating the real-time demand list, the data processing module may rollback to the previous state or provide an error prompt, firstly, send a request list through a proprietary local area network, confirm the type of wastewater to be processed this time based on the request list data processing module through the wastewater type data set, schedule the wastewater processing records with the same type of wastewater and the closest process parameters from the wastewater processing record data set based on the wastewater type and the real-time monitoring data set, obtain the historical adjustment demand list through the wastewater processing module, these lists record the information of the adjustment parameters, the processing links and processing equipment in the previous similar wastewater processing process, the data processing module adjusts the parameters, the processing links or processing equipment in the historical adjustment demand list based on the real-time monitoring data set, so as to adapt to the current actual situation or provide an error prompt, and confirm the current actual situation and the processing equipment, and the corresponding command, and execute the command and the corresponding command by the real-time demand data module, and the real-time demand module, and the corresponding command is executed by the corresponding to the adjustment module, ensuring that the wastewater treatment process is carried out according to a real-time demand list.
The method for creating the wastewater treatment data model comprises the following steps: b1: the method comprises the steps of identifier allocation, allocating a unique primary identifier to each processing link based on an environment-friendly processing technology, then allocating a corresponding unique secondary identifier based on each processing device in each processing link on the basis of the corresponding primary identifier, and adding attribute information for each link and each processing device, wherein B2: the tree structure is formed by organizing the whole environment-friendly processing flow as a root node, each processing link as a primary sub-node and processing equipment in each processing link as a secondary sub-node according to the hierarchy and the logic relation of the processing equipment in the processing flow, and B3: data association, namely associating the real-time monitoring data set with a corresponding link and a corresponding processing device, and B4: structural design, selecting a suitable data model structure, designing an extensible data structure, and updating at regular time to support dynamic updating of the whole wastewater treatment data model, and B5: and developing an interface, namely developing a visual interface by utilizing a series of tools and frames, and displaying a wastewater treatment data model and a treatment flow.
It should be noted that, a standardized naming rule is formulated, so that each identifier can intuitively reflect its corresponding processing link or device, more attribute information such as processing efficiency, energy consumption, etc. is added to each node in the tree structure, so as to perform finer data analysis and optimization, before associating data, the data is checked and cleaned to remove noise data such as abnormal values, repeated values, etc., so as to improve data quality, a key value database is selected as a data model structure, attribute information is stored in a key-value pair (key-value pair) form, and key value pairs are allowed to be dynamically added, modified or deleted during running, the time length of timing update is 10min each time, and the root node: representing the whole environment-friendly treatment flow, the first-level child node: each processing link, such as pretreatment, neutralization, precipitation, filtration, etc., secondary child nodes: specific processing devices in each processing link, such as a pump, a stirrer, a valve and the like, a root node is located at the top layer, a primary sub-node is located under the root node, a secondary sub-node is located under the primary sub-node, a logic sequence between nodes is determined according to a flow sequence and a dependency relationship of an environment-friendly processing process, a graphical tool (such as a UML tool) can be used for drawing and editing a tree structure, the tree structure is stored in a certain form (such as XML) so as to facilitate subsequent program calling and processing, for each processing link and processing device, one or more unique identifiers are determined as associated keys, an associated table is created in a database and is used for storing associated information of a real-time monitoring data set and corresponding links and devices, each piece of data in the real-time monitoring data set is matched with associated keys of the corresponding processing links and devices and is stored in the associated table, according to query requirements, the associated table is index-optimized, query efficiency is improved, an expandable data structure is designed, a memory (hash Value in a hash system can be used for hash Value in a hash memory (hash Value in a hash Value of a corresponding link and a corresponding to a processing device) is a hash Value (corresponding to a Value of a corresponding link or a Value of a processing device, for example, a hash Value in a hash Value (Hashes) of each link and a corresponding to a processing device, and a Value of a corresponding attribute Value (corresponding to a Value of a corresponding link, for processing attribute, for each link is a Value) can be stored in a Value, for a Value can be stored in a Value, can be Value is a Value) can be stored as a Value: for a processing element, the key may be process_step:1, and the value may be a hash of a packet, such as { "name": "preprocessing", "efficiency": 0.8, "efficiency_condition": 1200}, then the expiration and persistence functions of Redis may be used, or in conjunction with other tools (e.g., cron jobs), to perform update operations periodically, for example: a script may be written that retrieves new data from the real-time data source every 10 minutes and updates the corresponding key-value pairs in the dis.
As shown in fig. 3, the method for creating the visual interface includes: c1: interface design, designing a user interface blueprint by using a graphic design tool, designing a front view to show the whole wastewater treatment flow, designing a detail view to show detailed information of specific links or equipment, designing interaction elements such as buttons, sliders, drop-down menus and the like so as to facilitate interaction between a user and the interface, and C2: back-end construction, selecting a back-end development framework and a database for defining and developing a back-end API, providing necessary data support for the front-end, and realizing real-time data pushing by using related technologies, and C3: and (3) front-end implementation, namely selecting a front-end framework suitable for developing a visual interface to construct an interface layout based on the user interface blueprint, and selecting a data visual library to draw a wastewater treatment flow chart and a related chart, so as to obtain the visual interface.
It should be noted that using a Sketch or similar graphic design tool, a Sketch of the user interface is drawn, the Sketch should clearly show the front view (whole wastewater treatment process) and detail view (detailed information of specific links or devices), design interactive elements such as buttons, sliders, drop-down menus, etc., ensure that they are intuitively easy to use and conform to the usage habits of the user, determine the overall style of the interface, including colors, fonts, icons, etc., ensure the consistency and aesthetics of the interface, collect feedback of the user on the interface design, and make necessary modifications, select Django as a back-end development framework because it provides a powerful ORM and template engine, and rich third party library support, use MySQL as a database, design data tables to store data related to wastewater treatment processes, devices, links, etc., ensure that the relationship between the data tables is clear, adding necessary index to improve query efficiency, defining back end API interface, which is used for front end to obtain waste water treatment data, wherein the API interface should follow RESTful specification, ensuring interface universality and usability, using Django channeIs plug-in to realize WebSocket function, when back end data change, pushing data to front end by WebSocket, realizing real-time data update, writing API logic, obtaining data from MySQL database, performing necessary processing (such as data cleaning, conversion, etc.), then returning to front end, selecting compact as front end frame, because it provides componentized development mode, supporting virtual DOM, capable of constructing complex user interface with high efficiency, constructing interface layout by compact design drawing, writing HTML structure of component by using compact JSX grammar, selecting D3.js as data visualization library, drawing a wastewater treatment flow chart and a related chart, transmitting data returned by a back-end API to D3.js, drawing a corresponding visual graph, monitoring data pushed by the back-end by using WebSocket at the front-end, updating the displayed data and chart in real time when new wastewater treatment data arrives, using compact to realize interactive elements such as buttons, sliders, pull-down menus and the like, adding event monitors for the elements, processing interactive behaviors of users, testing front-end codes, ensuring no errors and performance problems, optimizing according to test results, and improving the stability and user experience of an interface.
The data processing module is connected with the control terminal, and each processing device establishes contact with the control terminal through a private LAN, and the method for establishing the private LAN comprises the following steps: c1: information acquisition, namely acquiring networking information of a data processing module, each processing device and a control terminal, wherein the networking information comprises equipment IP (Internet protocol), C2: the equipment is connected, the control terminal distributes the communication channel by itself to enable the IP of the data processing module to be matched with the IP of each processing equipment, and C3: and configuring networking, wherein the control terminal configures corresponding network services and security measures for the communication channel, and a private local area network is created.
It should be noted that the corresponding network services include file transfer service, web service, network file system service, mail service, etc., and the corresponding security measures include encrypted communication, setting firewall, data backup and restoration policy, etc.
As shown in fig. 4, the method for estimating the duration includes: d1: preliminary duration estimation, obtaining corresponding wastewater types and process parameters based on the wastewater type data set and the real-time monitoring data set, and scheduling wastewater treatment records with the same wastewater types and the most same process parameters based on the wastewater treatment record data set to obtain preliminary estimated duration, D2: the estimated time length is updated, the time length required by wastewater treatment in each link is calculated based on the operation logic and influence factors of each treatment link of the environment-friendly treatment process, and the preliminary estimated time length is further updated to obtain the estimated time length required by each link of the treatment.
It should be noted that, the data acquisition module collects a real-time monitoring data set, extracts wastewater type information and process parameters from the wastewater type data set, the process parameters such as wastewater flow, concentration, temperature and the like from the real-time monitoring data set, the data processing module utilizes the wastewater treatment record data set to screen out a history treatment record which is the same as the current wastewater type and has the nearest process parameters, a K-Means clustering algorithm or other similarity algorithm can be utilized to assist in screening out the history treatment record which is the most similar, the processing duration data of the history treatment record can be extracted from the screened out history treatment record which is similar, a statistical method (such as average value, median, mode and the like) is utilized to calculate the extracted processing duration to obtain a preliminary processing duration pre-estimated value, and the data processing module identifies each processing link (such as pretreatment, primary treatment, biochemical treatment, secondary treatment, deep treatment, sludge treatment, disinfection and the like) based on an environmental protection treatment process, and the processing time of the pretreatment links is mainly dependent on the processing capacity of wastewater flow and equipment, and the calculation formula; treatment time = wastewater volume/equipment treatment rate, primary treatment link treatment time depends on sedimentation velocity of suspended matter in wastewater and depth of sedimentation tank, calculation formula: treatment time = sedimentation tank depth/suspended matter average sedimentation velocity, biochemical treatment time of biochemical treatment link is affected by various factors, such as microorganism activity, substrate concentration, temperature, pH, etc., kinetic models (such as a single model) can be used to estimate growth of microorganism and substrate degradation rate, thereby determining the processing time, the calculation formula (simplified version): treatment time= (influent substrate concentration-effluent substrate concentration)/substrate degradation rate, secondary treatment and advanced treatment link treatment time depends on the performance of the specific process and equipment, calculation formula: treatment time = wastewater volume/plant treatment rate (or calculated from a kinetic model of the specific process), sludge treatment and disposal link: the treatment time of sludge concentration, dehydration, stabilization and the like depends on the properties of the sludge and the selected technology, and the calculation formula is as follows: treatment time = sludge volume/sludge treatment equipment rate, disinfection time of disinfection link is typically based on type, concentration and contact time of disinfectant, calculation formula: processing time=necessary contact time (determined according to disinfectant and pathogen types), then accumulating the calculated time lengths of all the processing links to obtain the total time length of the whole wastewater treatment process, finally comparing the calculated total time length with the preliminary estimated time length in D1, if the difference between the calculated total time length and the preliminary estimated time length is large, updating the preliminary estimated time length by using the calculated total time length, otherwise, keeping the preliminary estimated time length unchanged, wherein the calculation formula is a simplified model, more variables and factors need to be considered in actual application, so that in actual operation, the processing time needs to be adjusted and optimized according to a real-time monitoring data set and operation experience, and the calculation of the link time length in D2 is an iterative process because the actual time length of some processing links may be influenced by the processing effect of the previous links.
The method for creating the judgment report comprises the following steps: t1: the generation condition is that a report list can be generated by giving an end command after the wastewater treatment is finished based on the wastewater treatment data model, and T2: data collection, namely adding estimated time length required by each integrated link treatment based on a report list, adding and collecting real-time monitoring data in the wastewater treatment process, and finally adding and extracting corresponding types of wastewater treatment records from a wastewater treatment record data set based on a wastewater type data set, wherein T3: and comprehensively judging the environmental protection treatment of the wastewater based on the final time length, the real-time monitoring data set and the corresponding type of wastewater treatment record.
It should be noted that the contents of the judgment report include: overview: report title/report date/report number/process lot, wastewater treatment information: wastewater type/treatment process/final duration, real-time monitoring data analysis: water quality index analysis, flow data analysis, equipment state analysis, wastewater treatment record analysis: summary of treatment records/treatment effect contrast/questions and improvement advice, judgment conclusion: standard condition/efficiency evaluation/environmental protection effect, advice and hope: the proposal of future wastewater treatment work comprises the aspects of process optimization, equipment maintenance, monitoring improvement and the like and the hope of wastewater treatment technology and environmental protection policy, the future possible development trend and challenges are analyzed, a data processing module calculates and integrates the estimated time length required by each link treatment according to the method (D1 and D2) of the estimated time length, the estimated time lengths are ordered according to the treatment flow to form an estimated time length list, a data acquisition module continuously collects real-time monitoring data in the wastewater treatment process, including but not limited to water quality index, flow data, equipment state and the like, the data processing module classifies and sorts the data according to time sequence and treatment links, the data processing module extracts treatment records which are the same as the current wastewater type from a wastewater treatment record data set based on the wastewater type data set, the extracted treatment records comprise the information of treatment flow, treatment effect, encountered problem, solution policy and the like, the time length list, the real-time monitoring data and the wastewater treatment record are integrated into a report, the data of each part are ensured to be complete and orderly according to the treatment flow, the real-time monitoring data and the data in the treatment record are continuously collected, the real-time monitoring data and the real-time monitoring data in the wastewater treatment process are analyzed, if the estimated time length is compared with the estimated time length of the treatment links, the actual time length is compared with the actual time length is required to be compared with the actual time information, if the actual quality of the actual treatment needs is compared, the actual time is compared, the actual quality of the actual treatment is compared, and the actual time-dependent on the actual quality-dependent on the treatment effect, and the actual quality-dependent on the actual quality-time is compared, and the actual time-dependent on the actual treatment condition, and environmental protection condition is compared, if the water quality index does not reach the expected standard, further analyzing the reasons and considering whether the treatment process is required to be improved or monitoring measures are enhanced, identifying problems and challenges existing in the wastewater treatment process in the comprehensive judging process, providing specific improvement suggestions for the problems and challenges, including process optimization, equipment maintenance, monitoring improvement and the like, wherein the report comprises a summary, wastewater treatment information, real-time monitoring data analysis, wastewater treatment record analysis, judging conclusion, suggestion and hope and the like, auditing the judging report, ensuring the accuracy of the data and the rationality of analysis, and issuing the report to related departments and staff after the verification is passed so that the personnel can know the wastewater treatment condition and take corresponding measures.
The execution command comprises a parameter setting value, execution time and priority, is encoded into a format recognized by the remote monitoring software, and is finally transmitted to the remote monitoring software through the private local area network.
It should be noted that each command is assigned a unique identifier so that the remote monitoring software can identify and track the execution of the command, provide a short description of the command to help an operator or administrator quickly understand the use of the command, specify the name, data type, value range, default value, etc. of each parameter to ensure that the remote monitoring software can properly parse and use the parameters.
The equipment used for monitoring the data set in real time comprises an online water quality sampler, an online PH tester, an online conductivity meter, an online dissolved oxygen meter and an online total nitrogen water quality monitor.
It should be noted that the equipment needs to be regularly maintained and serviced to ensure its normal operation and accuracy, the maintenance period is usually set according to the use condition of the equipment and the manufacturer's recommendation, the equipment maintenance includes cleaning, replacing wearing parts, checking connection lines, etc., the specific maintenance requirement is performed according to the type of the equipment and the manufacturer's specification, the equipment needs to be regularly calibrated to ensure the accuracy of the measurement result, and the calibration period is usually set according to the use condition of the equipment and the manufacturer's recommendation.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made hereto without departing from the spirit and scope of the invention as defined by the appended embodiments and equivalents thereof.
Claims (5)
1. The utility model provides a steelmaking waste water environmental protection treatment monitored control system, includes data acquisition module, data processing module and data output module, its characterized in that:
the data acquisition module is used for collecting a real-time monitoring data set and a basic data set, wherein the basic data set comprises a wastewater treatment record data set, an equipment information data set and a wastewater type data set;
the data processing module establishes a wastewater treatment data model based on a real-time monitoring data set, an equipment information data set and an environment-friendly treatment process, visualizes each treatment link and corresponding treatment equipment based on the wastewater treatment data model, analyzes the estimated time required by each treatment link of the treatment based on the real-time monitoring data set, judges whether each treatment link corresponding to the wastewater treatment needs to be regulated based on the wastewater type data set and the real-time monitoring data set, and can utilize a demand regulation method to regulate the corresponding equipment of the corresponding treatment link and update the estimated time of the corresponding treatment link if the treatment link needs to be regulated;
The data output module is used for counting and outputting the final duration of the wastewater treatment based on the estimated duration of each treatment link, outputting a corresponding type of wastewater treatment record based on the wastewater treatment record data set, and finally judging the environmental protection treatment of the wastewater based on the final duration, the real-time monitoring data set and the corresponding type of wastewater treatment record to obtain a judgment report;
The demand conditioning method includes:
s1: establishing contact, wherein corresponding processing equipment of each processing link establishes contact through a proprietary local area network;
S2: the method comprises the steps of demand issuing, namely issuing a real-time demand list through a private local area network based on a wastewater type data set, a wastewater treatment record data set and a real-time monitoring data set;
S3: the checking list is based on the real-time demand list, the corresponding processing links and the corresponding processing equipment are scheduled by the wastewater processing data model for checking, and after no errors exist, an execution command is issued;
s4: command execution, wherein parameters of corresponding processing equipment of corresponding processing links are adjusted through remote monitoring software based on the execution command;
the method for creating the real-time demand list comprises the following steps:
A1: sending a request, namely sending a request list based on a private local area network;
A2: adding an adjustment demand, confirming the type of the wastewater to be treated through a wastewater type data set based on the request list, dispatching out wastewater treatment records with the same wastewater type and the most same process parameters from a wastewater treatment record data set based on the wastewater type and a real-time monitoring data set, obtaining a historical adjustment demand list through the wastewater treatment records, adding the historical adjustment demand list after confirmation, and finally adjusting parameters, treatment links or treatment equipment in the historical adjustment demand list based on the real-time monitoring data set to obtain a real-time demand list;
the method for creating the wastewater treatment data model comprises the following steps:
B1: the method comprises the steps of identifier allocation, allocating a unique primary identifier to each processing link based on an environment-friendly processing technology, then allocating a corresponding unique secondary identifier based on each processing device in each processing link on the basis of the corresponding primary identifier, and adding attribute information for each processing link and each processing device;
B2: the tree structure is formed by taking the whole environment-friendly processing flow as a root node, taking each processing link as a first-level sub-node, taking processing equipment in each processing link as a second-level sub-node, and finally organizing according to the hierarchy and the logic relation of the processing equipment in the processing flow;
B3: data association, namely associating the real-time monitoring data set with a corresponding link and a corresponding processing device;
B4: structural design, selecting a suitable data model structure, designing an extensible data structure, and updating at regular time to support dynamic updating of the whole wastewater treatment data model;
B5: developing an interface, namely developing a visual interface by utilizing a series of tools and frames, wherein the visual interface is used for displaying a wastewater treatment data model and a treatment flow;
The creation method of the visual interface comprises the following steps:
c1: designing an interface, namely designing a user interface blueprint by using a graphic design tool, designing a front view to show the whole wastewater treatment flow, designing a detail view to show detailed information of a specific link or equipment, and designing interaction elements such as buttons, sliders and drop-down menus so as to facilitate interaction between a user and the interface;
c2: the method comprises the steps of constructing a back end, selecting a back end development framework and a database to define and develop a back end API, providing necessary data support for a front end, and realizing real-time data pushing by using related technologies;
and C3: the front end is realized, a front end framework suitable for developing a visual interface is selected to construct an interface layout based on a user interface blueprint, a data visual library is selected to draw a wastewater treatment flow chart and a related chart, and the visual interface can be obtained;
The method for estimating the duration comprises the following steps:
D1: preliminary duration estimation, obtaining corresponding wastewater types and process parameters based on the wastewater type data set and the real-time monitoring data set, and scheduling wastewater treatment records with the same wastewater types and the most same process parameters based on the wastewater treatment record data set to obtain preliminary estimated duration;
D2: the estimated time length is updated, the time length required by wastewater treatment in each link is calculated based on the operation logic and influence factors of each treatment link of the environment-friendly treatment process, and the preliminary estimated time length is further updated to obtain the estimated time length required by each link of the treatment.
2. The environmental protection treatment monitoring system for steelmaking wastewater according to claim 1, wherein: the data processing module is connected with a control terminal, and each processing device establishes contact with the control terminal through a private local area network, and the method for establishing the private local area network comprises the following steps:
C1: information acquisition, namely acquiring networking information of a data processing module, each processing device and a control terminal, wherein the networking information comprises a device IP;
C2: the equipment is connected, and the control terminal automatically distributes a communication channel to enable the IP of the data processing module to be matched with the IP of each processing equipment;
And C3: and configuring networking, wherein the control terminal configures corresponding network services and security measures for the communication channel, and a private local area network is created.
3. The environmental protection treatment monitoring system for steelmaking wastewater according to claim 1, wherein: the method for creating the evaluation report comprises the following steps:
T1: generating conditions, namely, based on the wastewater treatment data model, giving an end command after the wastewater treatment is finished, and generating a report list;
T2: data collection, namely adding estimated time length required by each integrated link treatment based on a report list, adding and collecting real-time monitoring data in the wastewater treatment process, and finally adding and extracting wastewater treatment records of corresponding types from a wastewater treatment record data set based on a wastewater type data set;
T3: and comprehensively judging the environmental protection treatment of the wastewater based on the final time length, the real-time monitoring data set and the corresponding type of wastewater treatment record.
4. The environmental protection treatment monitoring system for steelmaking wastewater according to claim 1, wherein: the execution command comprises a parameter setting value, execution time and priority, is encoded into a format recognized by the remote monitoring software, and is finally sent to the remote monitoring software through a private local area network.
5. The environmental protection treatment monitoring system for steelmaking wastewater according to claim 1, wherein: the equipment used for monitoring the data set in real time comprises an online water quality sampler, an online PH tester, an online conductivity meter, an online dissolved oxygen meter and an online total nitrogen water quality monitor.
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