Carbon emission monitoring platform based on adaptive compensation model

Abstract

The invention provides a carbon emission monitoring platform based on an adaptive compensation model, and the platform comprises a data collection module which is used for obtaining flue gas parameters in a fixed emission source flue in real time, and the flue gas parameters comprise CO2 concentration, flue gas temperature, flue gas humidity, flue gas pressure and flue gas flow velocity; a plurality of concentration compensation models are arranged in the self-adaptive compensation module, and the self-adaptive compensation module is used for automatically matching the corresponding concentration compensation models according to the flue gas temperature and the flue gas humidity to compensate and correct the CO2 concentration to obtain the corrected CO2 concentration; the carbon emission analysis module is used for obtaining the carbon emission at the current moment according to the corrected CO2 concentration and flue gas flow velocity; and the data display module is used for loading the flue gas temperature, the flue gas humidity, the flue gas pressure, the flue gas flow rate, the corrected CO2 concentration and the carbon emission at the current moment into a visual interface for display. The method has the beneficial effects that the calculation process of the carbon emission can be simplified, and the data visualization service is provided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of carbon emission monitoring platform, and in particular, relates to a carbon emission monitoring platform based on adaptive compensation model. BACKGROUND

[0002] Due to the defects of large communication cable laying workload, poor data transmission reliability and high failure rate of the current carbon emission continuous monitoring system, many studies have proposed specific solutions to these problems. In order to solve the problems of large amount of communication cable laying, unstable data transmission, frequent equipment failure and heavy data management and maintenance caused by the independent data acquisition equipment of the traditional thermal power plant configuration mode transmitting data to the ecological environment supervision agency alone, the carbon emission continuous monitoring system has implemented improvement measures. This scheme reduces the number of communication interfaces to the ecological environment supervision department and the power grid agency, optimizes the configuration of data acquisition hardware, reduces the amount of cable used and the complexity of its laying, and improves the stability of the whole system by setting up double backup core switches and data transmission loops to ensure that data will not be lost. In addition, it combines spectral absorption, information, sensors and electronic technology and applies it to CO2 emission. Relying on multi-sensor data integration technology, a method for real-time monitoring of CO2 concentration is developed, and software development and application for simulating physical conditions of the environment are created. The CO2 real-time monitoring mechanism built in the laboratory proves its effectiveness in designing experimental processes and collecting data. This technology not only measures accurately, but also has excellent real-time response capability, and can quickly and accurately track the concentration of CO2.

[0003] However, due to the large amount of data processing and complex carbon emission calculation involved in factory flue gas monitoring, enterprises pay more attention to the accuracy of carbon emission statistics results rather than understanding how to accurately calculate carbon emissions. Moreover, existing calculation tools are often just simple arithmetic operators and do not provide specific functions or targeted solutions. Therefore, based on the characteristics of carbon emission enterprises and the optimization of continuous monitoring compensation model for fixed emission sources CO2 and flue gas flow monitoring, a carbon emission monitoring platform based on adaptive compensation model is needed, which can automatically select the concentration compensation model for CO2 concentration correction by detecting flue gas temperature and flue gas humidity, simplify the calculation process of carbon emission, and provide data visualization services. SUMMARY

[0004] The technical problem to be solved by the present application is how to simplify the calculation process of carbon emission and provide data visualization services. In order to overcome the defects of the above prior art (or related technology), the present application provides a carbon emission monitoring platform based on adaptive compensation model.

[0005] The present application provides a carbon emission monitoring platform based on adaptive compensation model, comprising: A data acquisition module is configured to acquire flue gas parameters in real time, the flue gas parameters including CO2 concentration, flue gas temperature, flue gas humidity, flue gas pressure and flue gas flow rate; An adaptive compensation module is connected to the data acquisition module, and the adaptive compensation module is internally provided with a plurality of concentration compensation models, and is configured to compensate and correct the CO2 concentration according to the flue gas temperature and the flue gas humidity to obtain corrected CO2 concentration by matching the corresponding concentration compensation model. A carbon emission analysis module is connected to the data acquisition module and the adaptive compensation module, and is configured to obtain current carbon emission according to the corrected CO2 concentration and the flue gas flow rate. A data display module is connected to the data acquisition module, the adaptive compensation module and the carbon emission analysis module, and is configured to load the flue gas temperature, the flue gas humidity, the flue gas pressure, the flue gas flow rate, the corrected CO2 concentration and the current carbon emission into a visual interface for display.

[0006] Compared with the prior art, the carbon emission monitoring platform based on the adaptive compensation model has the following advantages: In the present application, the flue gas parameter acquisition function is realized by the data acquisition module, the CO2 concentration correction is realized by the adaptive compensation module calling the concentration compensation model, the current carbon emission calculation is realized by the carbon emission analysis module, and the data visualization display is realized by the data display module. The whole process of data acquisition-compensation correction-carbon emission calculation-visualization is designed in a closed loop, which replaces manual recording and Excel accounting, simplifies the calculation process of carbon emission and improves the calculation efficiency. Meanwhile, the data visualization service can be provided by the data display module.

[0007] In a possible implementation, the data display module includes a table drawing unit, which is configured to establish data numbers according to the acquisition time of the flue gas parameters, and fill the current carbon emission, the CO2 concentration, the corrected CO2 concentration, the flue gas temperature, the flue gas pressure, the flue gas humidity, the flue gas flow rate and the model number of the concentration compensation model used into a pre-stored monitoring data table in association with the data numbers.

[0008] Compared with the prior art, the above technical solution can facilitate data checking and audit tracing by establishing a monitoring data table.

[0009] In a possible implementation, the data number and the model number are of an INT integer data type, the collection time is of a DATETIME time data type, and the current moment carbon emission, the CO2 concentration, the corrected CO2 concentration, the flue gas temperature, the flue gas pressure, the flue gas humidity, and the flue gas flow rate are of a FLOAT floating point data type.

[0010] Compared with the prior art, the above technical solution can standardize the data structure type in the monitoring data table, ensure the decimal precision of the flue gas parameters through the FLOAT floating point data type, and ensure that the collection time is strictly aligned to avoid cumulative errors through the DATETIME time data type.

[0011] In a possible implementation, the CO2 concentration is derived from an electrochemical flue gas analyzer or an infrared flue gas analyzer, and the adaptive compensation module comprises: a model storage unit, in which a plurality of electrochemical concentration compensation models associated with the electrochemical flue gas analyzer and at least one infrared concentration compensation model associated with the infrared flue gas analyzer are stored; a model calling unit connected to the model storage unit, configured to, when the CO2 concentration is derived from the electrochemical flue gas analyzer, automatically match a corresponding electrochemical concentration compensation model according to the flue gas temperature and the flue gas humidity to obtain a first correction coefficient, and compensate and correct the CO2 concentration according to the first correction coefficient to obtain the corrected CO2 concentration; or when the CO2 concentration is derived from the infrared flue gas analyzer, call the infrared concentration compensation model to obtain a second correction coefficient according to the flue gas temperature and the flue gas humidity, and compensate and correct the CO2 concentration according to the second correction coefficient to obtain the corrected CO2 concentration.

[0012] Compared with the prior art, the above technical solution can distinguish the physical characteristics of the electrochemical flue gas analyzer and the infrared flue gas analyzer, customize corresponding concentration compensation models, and solve the problem of poor universality of a single model.

[0013] In a possible implementation, each electrochemical concentration compensation model obtains the corrected CO2 concentration through the following calculation formula: wherein, represents the first correction coefficient; represents the flue gas humidity; represents the flue gas temperature.

[0014] In a possible implementation, the infrared concentration compensation model obtains the corrected CO2 concentration through the following calculation formula: wherein, represents the second correction coefficient; represents the flue gas humidity; represents the flue gas temperature.

[0015] In a possible implementation, the system further comprises a user login module connected to the data display module, configured to receive a username and a password input by a user, and perform matching based on the username and the password with a pre-stored identity information table, and when the matching result indicates that the login is passed, control the data display module to display the visualization interface to the user; and when the matching result indicates that the login is not passed, prompt the user that the login information is incorrect.

[0016] Compared with the prior art, the above technical solution can prevent unauthorized access and improve data security.

[0017] In a possible implementation, the system further comprises an alarm module connected to the adaptive compensation module and the data display module, configured to compare the corrected CO2 concentration with a preset concentration range, and output an alarm information to the visualization interface to alarm the user when the corrected CO2 concentration is not within the preset concentration range.

[0018] Compared with the prior art, the above technical solution can timely remind the user of abnormal problems of the CO2 concentration and reduce losses. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 is a structural schematic diagram of the present application; Figure 2 is a generation schematic diagram of the monitoring data table of the present application; Figure 3 is a division schematic diagram of the data in the identity information table of the present application; Figure 4 is a generation schematic diagram of the concentration compensation model of the present application; Figure 5 is a generation schematic diagram of the identity information table of the present application; Figure 6 is a division schematic diagram of the data in the identity information table of the present application; Figure 7 is a schematic diagram of the visualization interface of the present application; Figure 8 is a page schematic diagram of the duration data of the present application; Figure 9 a page diagram of a concentration compensation model of the present application; Figure 10 a page diagram of carbon emission statistics of the present application. DETAILED DESCRIPTION

[0020] Firstly, those skilled in the art should understand that the embodiments are only used to explain the technical principles of the embodiments of the present application, and are not intended to limit the protection scope of the embodiments of the present application. Those skilled in the art can make adjustments as needed in order to adapt to specific application occasions.

[0021] The present application will be further described in detail below in combination with the drawings and specific embodiments.

[0022] Referring to Figure 1 , the embodiments of the present application disclose a carbon emission monitoring platform based on an adaptive compensation model, comprising a data acquisition module, an adaptive compensation module, a carbon emission analysis module, a data display module, a user login module, and an alarm module, wherein the data acquisition module is used to acquire flue gas parameters in a fixed emission source flue in real time, the flue gas parameters including CO2 concentration, flue gas temperature, flue gas humidity, flue gas pressure, and flue gas flow rate; the adaptive compensation module is built-in with multiple concentration compensation models, and is used to compensate and correct the CO2 concentration to obtain corrected CO2 concentration according to the flue gas temperature and the flue gas humidity by automatically matching the corresponding concentration compensation model; the carbon emission analysis module is used to obtain the current moment carbon emission according to the corrected CO2 concentration and the flue gas flow rate; the data display module is used to load the flue gas temperature, the flue gas humidity, the flue gas pressure, the flue gas flow rate, the corrected CO2 concentration, and the current moment carbon emission into a visual interface for display; the user login module is used for the user to input a username and a password, and to match a pre-stored identity information table based on the username and the password, when the matching result represents that the login is passed, the data display module is controlled to show the visual interface to the user; when the matching result represents that the login is not passed, the user is prompted that the login information is wrong; the alarm module is used to compare the corrected CO2 concentration with a preset concentration range, and when the corrected CO2 concentration is not in the preset concentration range, an alarm information is output to the visual interface to alarm and prompt the user.

[0023] Referring to Figure 1 , the data display module comprises a table drawing unit, which is used to establish data numbers according to the collection time of the flue gas parameters, and to associate the current moment carbon emission, the CO2 concentration, the corrected CO2 concentration, the flue gas temperature, the flue gas pressure, the flue gas humidity, the flue gas flow rate, and the model number of the concentration compensation model used with the data numbers and fill them into a pre-stored monitoring data table.

[0024] Referring to Figure 1The adaptive compensation module comprises a model storage unit and a model calling unit, wherein the model storage unit stores a plurality of electrochemical concentration compensation models associated with the electrochemical flue gas analyzer and at least one infrared concentration compensation model associated with the infrared flue gas analyzer; the model calling unit is configured to, when the CO2 concentration is derived from the electrochemical flue gas analyzer, automatically match a corresponding electrochemical concentration compensation model according to the flue gas temperature and the flue gas humidity to obtain a first correction coefficient, and compensate and correct the CO2 concentration according to the first correction coefficient to obtain a corrected CO2 concentration; or, when the CO2 concentration is derived from the infrared flue gas analyzer, call the infrared concentration compensation model to obtain a second correction coefficient according to the flue gas temperature and the flue gas humidity, and compensate and correct the CO2 concentration according to the second correction coefficient to obtain a corrected CO2 concentration.

[0025] In the embodiment of the present application, each electrochemical concentration compensation model obtains the corrected CO2 concentration through the following calculation formula: wherein, the first correction coefficient is represented by K1; the flue gas humidity is represented by H; the flue gas temperature is represented by T.

[0026] In the embodiment of the present application, the infrared concentration compensation model obtains the corrected CO2 concentration through the following calculation formula: wherein, the second correction coefficient is represented by K2; the flue gas humidity is represented by H; the flue gas temperature is represented by T.

[0027] In the embodiment of the present application, the carbon emission monitoring platform is a WEB application under B / S architecture, adopts front-end and back-end technologies such as Vue, Element, Ajax, Echarts, Express and MySQL, takes front-end data as the center and back-end analysis as the core, uses the design idea of front-end and back-end separation: the server is divided into traditional physical servers and cloud servers, compared with traditional physical servers, cloud servers have the advantages of low procurement cost and low operation and maintenance cost, and it can also process a large amount of data, therefore, when selecting the server, the platform selects Aliyun service as the underlying service support; the data is stored in the MySQL database, which is a relational database management system, saves the data in different tables, increases the speed of platform operation and improves the flexibility; the back-end data and computing service are built using the Express framework based on the Node.js platform, the front-end page and interaction are built using the Vue framework and Element component library, the server data is received through Ajax request, and the data is visualized using Echarts visualization chart, after the application development is completed, the application is deployed on the cloud server, and finally the functions of user login, data dynamic monitoring, report statistics, real-time alarm, data management, data storage and visualization display are realized.

[0028] Referring to Figure 2 and Figure 3 , the monitoring data table includes data number, collection time, current time carbon emission, CO2 concentration, corrected CO2 concentration, flue gas temperature, flue gas pressure, flue gas humidity, flue gas flow rate, flue gas flow, model number and other data, wherein the data number and the model number are "INT" integer data types, the collection time is "DATETIME" time data type, and the rest of the data are "FLOAT" floating point types.

[0029] Referring to Figure 4 , the concentration compensation model generation parameter table includes model number, selected state, formula character, parameter a, parameter b, parameter c, interval character, note character and other data, wherein the model number is "INT" integer data type, the selected state is "TINYINT" short integer data type, the parameters a, b and c are "FLOAT" floating point data types, and the rest of the data are "VARCHAR" character types.

[0030] Referring to Figure 5 and Figure 6 , the identity information table includes user number, user name, password and other data, wherein the user number is "INT" integer data type, the user name and password are "VARCHAR" character types.

[0031] In the embodiment of the present application, the user login module is mainly used for user login, and the users are divided into ordinary users and administrators. The user information is stored in an identity information table. When the user logs in, the user login module automatically matches the information in the identity information table, displays different prompt information according to whether the input is correct, logs in to the platform by inputting the correct username and password, and prompts error information when the username or password is input incorrectly or is empty.

[0032] In the embodiment of the present application, after the user logs in successfully on the login interface, the user enters the visualization interface, and in the visualization interface, a chart display of carbon emission information can be seen, as shown in Figure 7 The visualization interface is divided into three parts, namely, left, middle and right. The first column chart on the left is the carbon emission amount of each day within seven days, the second column chart on the left is the carbon emission amount of each month within three months, and the third column chart on the left is the carbon emission amount of each year within three years. The first line chart in the middle is the change trend of the flue gas temperature, flue gas pressure, flue gas humidity, flue gas flow rate and flue gas flow volume of the day. By clicking the button above, the line charts of each monitoring value can be switched. The second line chart in the middle is the change trend of the CO2 concentration of the day. The table at the bottom of the middle is the early warning information table of the CO2 concentration. If the concentration value is higher or lower than a certain value, an alarm information of the CO2 concentration will be added. The first information card on the right displays the current data update time, and the remaining information cards on the right display the CO2 concentration, flue gas temperature, flue gas pressure, flue gas humidity, flue gas flow rate and other information under the data update time of the current time.

[0033] Referring to Figure 8 , clicking “historical data” in the left menu bar enters the historical data display page. The page mainly displays the historical data of the carbon emission amount, CO2 concentration, flue gas temperature, flue gas pressure, flue gas humidity, flue gas flow rate and flue gas flow volume. Clicking “data query” can input the start and end dates, so as to display the historical data within the specified date range. Clicking “export historical data” can input the start and end dates, so as to export the historical data within the specified date range as an Excel table. Clicking “export page data” can export the historical data of the current page as an Excel table. Clicking the “edit” button can modify the data of the specified row. Clicking “delete” can delete the data of the row.

[0034] Referring to Figure 9 , clicking “compensation model” in the left menu bar enters the compensation model display page. The page mainly displays the concentration compensation model under different conditions. Clicking “edit” can input the parameters of the model formula, note information and the like. The platform automatically selects the concentration compensation model to correct the CO2 concentration according to the flue gas temperature and flue gas humidity in the flue of the fixed emission source. The corrected CO2 concentration is displayed in the column of “corrected CO2 concentration” in the historical data page.

[0035] Referring toFigure 10 The platform automatically reads the carbon emission amount generated by the fixed emission source flue of the corresponding year and the carbon emission amount generated by the purchased power of the enterprise, clicks the edit button in the page, and the platform pops up an entry form of other carbon emission amounts and carbon emission amounts generated by fuel consumption. In the form, fill in turn, and then click the confirm button. The platform will prompt that the saving is successful. Finally, the enterprise carbon emission amount information is displayed in the table.

[0036] In the embodiment of the application, after the corrected CO2 concentration is calculated by the adaptive compensation module, the flue gas volume is calculated based on the flue gas flow rate, and the product of the corrected CO2 concentration and the CO2 molecular weight in the flue gas is calculated to obtain the carbon emission amount at the current moment.

[0037] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "in this embodiment", "specific examples" or "some examples" means that the specific features, mechanisms, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, mechanisms, materials or characteristics described can be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples without contradiction.

[0038] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A carbon emission monitoring platform based on an adaptive compensation model, characterized in that: include: A data acquisition module for acquiring flue gas parameters in a flue of a fixed emission source in real time, the flue gas parameters including CO2 concentration, flue gas temperature, flue gas humidity, flue gas pressure and flue gas flow rate; an adaptive compensation module connected to the data acquisition module, wherein the adaptive compensation module has a plurality of concentration compensation models built therein, and is used to automatically match the corresponding concentration compensation model according to the flue gas temperature and the flue gas humidity to compensate and correct the CO2 concentration to obtain a corrected CO2 concentration; a carbon emission analysis module, connected to the data acquisition module and the adaptive compensation module, respectively, for obtaining the carbon emission at a current moment according to the corrected CO2 concentration and the flue gas flow rate; A data display module is connected to the data acquisition module, the adaptive compensation module and the carbon emission analysis module respectively, and is used to load the flue gas temperature, the flue gas humidity, the flue gas pressure, the flue gas flow rate, the corrected CO2 concentration and the carbon emissions at the current moment into a visualization interface for display.

2. The carbon emission monitoring platform according to claim 1, characterized in that: The data display module includes a table drawing unit for establishing a data number based on the collection time of the flue gas parameters, and associating the current carbon emissions, the CO2 concentration, the corrected CO2 concentration, the flue gas temperature, the flue gas pressure, the flue gas humidity, the flue gas flow rate and the model number of the concentration compensation model used corresponding to the collection time with the data number and filling them into a pre-stored monitoring data table.

3. The carbon emission monitoring platform according to claim 2, characterized in that: The data number and the model number are of INT integer data type, the collection time is of DATETIME time data type, and the current carbon emissions, the CO2 concentration, the corrected CO2 concentration, the flue gas temperature, the flue gas pressure, the flue gas humidity and the flue gas flow rate are of FLOAT floating point data type.

4. The carbon emission monitoring platform according to claim 1, characterized in that: The CO2 concentration is derived from an electrochemical flue gas analyzer or an infrared flue gas analyzer, and the adaptive compensation module includes: a model storage unit storing a plurality of electrochemical concentration compensation models associated with the electrochemical flue gas analyzer and at least one infrared concentration compensation model associated with the infrared flue gas analyzer; a model calling unit, connected to the model storage unit, for automatically matching the corresponding electrochemical concentration compensation model according to the flue gas temperature and the flue gas humidity to obtain a first correction coefficient when the CO2 concentration is derived from the electrochemical flue gas analyzer, and performing compensation correction on the CO2 concentration according to the first correction coefficient to obtain the corrected CO2 concentration; or When the CO2 concentration comes from the infrared flue gas analyzer, the infrared concentration compensation model is called to obtain a second correction coefficient according to the flue gas temperature and the flue gas humidity, and the CO2 concentration is compensated and corrected according to the second correction coefficient to obtain the corrected CO2 concentration.

5. The carbon emission monitoring platform according to claim 4, characterized in that: Each of the electrochemical concentration compensation models obtains the corrected CO2 concentration using the following calculation formula: in, represents the first correction coefficient; Indicates the humidity of the flue gas; Indicates the flue gas temperature.

6. The carbon emission monitoring platform according to claim 4, characterized in that: The infrared concentration compensation model obtains the corrected CO2 concentration through the following calculation formula: in, represents the second correction coefficient; Indicates the humidity of the flue gas; Indicates the flue gas temperature.

7. The carbon emission monitoring platform according to claim 1, characterized in that: The invention also includes a user login module connected to the data display module, configured to allow a user to input a username and password, and to perform a match based on the username and password in a pre-stored identity information table. When a matching result indicates that the login is successful, the data display module is controlled to display the visual interface to the user. When the matching result indicates that the login is unsuccessful, the user is prompted that the login information is incorrect.

8. The carbon emission monitoring platform according to claim 1, characterized in that: It also includes an alarm module, which is respectively connected to the adaptive compensation module and the data display module, and is used to compare the corrected CO2 concentration with a preset concentration range, and output an alarm message to the visual interface to warn the user when the corrected CO2 concentration is not within the preset concentration range.

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