CN116610663A - Carbon monitoring data quality evaluation method, device, equipment and storage medium - Google Patents
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Abstract
The application provides a carbon monitoring data quality evaluation method, device, equipment and storage medium, relates to the technical field of data analysis, and aims to solve the problem that quality grade evaluation cannot be carried out on carbon monitoring data in an effective quantitative mode. The method comprises the following steps: calculating a plurality of evaluation indexes of the carbon monitoring data based on the collected carbon monitoring data of the target monitoring area; wherein the plurality of evaluation indexes comprises: a comprehensiveness index, an integrity index, an accuracy index, a normative index, an instantaneity index and a timeliness index; calculating the corresponding evaluation weights of the plurality of evaluation indexes by adopting an analytic hierarchy process; acquiring a carbon comprehensive evaluation value of the carbon monitoring data according to the plurality of evaluation indexes and the evaluation weights corresponding to the plurality of evaluation indexes; and according to the comprehensive carbon evaluation value, evaluating the quality evaluation grade of the carbon monitoring data.
Description
Technical Field
The application relates to the technical field of data analysis, and provides a carbon monitoring data quality evaluation method, a device, equipment and a storage medium.
Background
Carbon monitoring is well known as a key element in quantifying carbon emissions, achieving carbon peaks and carbon neutralization. The carbon monitoring data can be accurately and comprehensively obtained through carbon monitoring so as to support carbon emission accounting verification, and further, a decision maker is facilitated to make reasonable carbon management and carbon emission reduction measures. The quality of the carbon monitoring data is the basis for carrying out data analysis and forming effective and accurate conclusion, and is also the most important premise and guarantee for carrying out macroscopic decision making and policy making by the data applied to the management department.
Specifically, because the accuracy of the carbon monitoring data is greatly influenced by human factors, a certain degree of fake risks exist in the quality of the carbon monitoring data, and the current judgment on the accuracy of the carbon monitoring data mainly depends on manual subjective supervision, so that the quality grade of the carbon monitoring data cannot be effectively and quantitatively assessed, and if the quality of the carbon monitoring data cannot be effectively supervised, the standard operation of a carbon market can be seriously jeopardized.
Therefore, how to perform effective quantitative assessment on the quality grade of carbon monitoring data is a problem to be solved at present.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for evaluating quality of carbon monitoring data, which are used for solving the problem that quality grade evaluation can not be effectively and quantitatively performed on the carbon monitoring data.
In one aspect, a method for evaluating quality of carbon monitoring data is provided, the method comprising:
calculating a plurality of evaluation indexes of the carbon monitoring data based on the collected carbon monitoring data of the target monitoring area; wherein the plurality of evaluation indexes comprises: a comprehensiveness index, an integrity index, an accuracy index, a normative index, an instantaneity index and a timeliness index; the comprehensive index is used for representing the covering condition of the carbon monitoring terminal on the carbon emission source, the integrity index is used for representing the complete condition of carbon monitoring data acquisition, the accuracy index is used for representing the accurate condition of carbon monitoring data acquisition, the normalization index is used for representing the equipment normalization condition of the carbon monitoring terminal, the instantaneity index is used for representing the synchronous condition of carbon monitoring data acquisition and transmission, and the timeliness index is used for representing the timely condition of uploading and processing of the carbon monitoring data;
calculating the corresponding evaluation weights of the plurality of evaluation indexes by adopting an analytic hierarchy process;
acquiring a carbon comprehensive evaluation value of the carbon monitoring data according to the plurality of evaluation indexes and the evaluation weights corresponding to the plurality of evaluation indexes;
and according to the comprehensive carbon evaluation value, evaluating the quality evaluation grade of the carbon monitoring data.
In one aspect, there is provided a carbon monitoring data quality assessment apparatus, the apparatus comprising:
a first calculation unit for calculating a plurality of evaluation indexes of the carbon monitoring data based on the collected carbon monitoring data of the target monitoring region; wherein the plurality of evaluation indexes comprises: a comprehensiveness index, an integrity index, an accuracy index, a normative index, an instantaneity index and a timeliness index; the comprehensive index is used for representing the covering condition of the carbon monitoring terminal on the carbon emission source, the integrity index is used for representing the complete condition of carbon monitoring data acquisition, the accuracy index is used for representing the accurate condition of carbon monitoring data acquisition, the normalization index is used for representing the equipment normalization condition of the carbon monitoring terminal, the instantaneity index is used for representing the synchronous condition of carbon monitoring data acquisition and transmission, and the timeliness index is used for representing the timely condition of uploading and processing of the carbon monitoring data;
the second calculation unit is used for calculating the evaluation weights corresponding to the evaluation indexes by adopting an analytic hierarchy process;
an obtaining unit, configured to obtain a carbon comprehensive evaluation value of the carbon monitoring data according to the multiple evaluation indexes and evaluation weights corresponding to the multiple evaluation indexes;
And the evaluation unit is used for evaluating the quality evaluation grade of the carbon monitoring data according to the comprehensive evaluation value of the carbon.
Optionally, the first computing unit is further configured to:
and calculating the comprehensive index of the carbon monitoring data of the target monitoring area according to the number of the actually arranged carbon monitoring terminals and the number of the actual carbon emission sources in the target monitoring area.
Optionally, the first computing unit is further configured to:
and calculating the integrity index of the carbon monitoring data of the target monitoring area according to the number of times of actually collecting data of each carbon monitoring point in the evaluation period, the number of times of data to be collected of each carbon monitoring point and the total number of arrangement of the carbon monitoring terminals.
Optionally, the first computing unit is further configured to:
calculating an accuracy index of carbon monitoring data of the target monitoring area according to the number of carbon monitoring terminals meeting a first preset condition in an evaluation period and the total number of the carbon monitoring terminals; the first preset condition is used for determining whether the carbon monitoring data acquired by each carbon monitoring terminal are accurate or not.
Optionally, the first computing unit is further configured to:
Calculating a normalization index of carbon monitoring data of the target monitoring area according to the number of carbon monitoring terminals meeting a second preset condition in the evaluation period and the total number of the carbon monitoring terminals; the second preset condition is used for determining whether the monitoring flow of each carbon monitoring terminal is standard or not.
Optionally, the first computing unit is further configured to:
and calculating the instantaneity index of the carbon monitoring data of the target monitoring area according to the number of times of real-time data transmission of each carbon monitoring terminal and the number of times of actual data acquisition of each carbon monitoring point in the evaluation period.
Optionally, the first computing unit is further configured to:
and calculating the timeliness index of the carbon monitoring data of the target monitoring area according to the timeliness score of each carbon monitoring terminal in the evaluation period at each data acquisition time, the number of times of real-time data transmission of each carbon monitoring terminal and the total number of arrangement of the carbon monitoring terminals.
Optionally, the second computing unit is further configured to:
performing pairwise importance comparison on the comprehensive index, the integrity index, the accuracy index, the normalization index, the instantaneity index and the timeliness index to obtain a judgment matrix;
Obtaining the maximum characteristic root of the judgment matrix by adopting a method of root;
and calculating the linear irrelevant feature vector corresponding to the maximum feature root, and obtaining the evaluation weight corresponding to each of the plurality of evaluation indexes.
In one aspect, there is provided an apparatus for carbon monitoring data quality assessment comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the methods described above when the computer program is executed.
In one aspect, there is provided a computer storage medium having stored thereon computer program instructions which, when executed by a processor, perform the steps of any of the methods described above.
According to the embodiment of the application, the comprehensive index, the integrity index, the accuracy index, the normalization index, the instantaneity index and the timeliness index of the carbon monitoring data can be calculated based on the carbon monitoring data of the collected target monitoring area, the comprehensive index is used for representing the coverage condition of the carbon monitoring terminal on the carbon emission source, the integrity index is used for representing the complete condition of the carbon monitoring data collection, the accuracy index is used for representing the accurate condition of the carbon monitoring data collection, the normalization index is used for representing the equipment standardization condition of the carbon monitoring terminal, the instantaneity index is used for representing the synchronous condition of the carbon monitoring data collection and transmission, the timeliness index is used for representing the timeliness condition of the uploading and processing of the carbon monitoring data, and further, the evaluation weights corresponding to the evaluation indexes can be calculated by adopting a hierarchical analysis method, and further, the carbon comprehensive evaluation value of the carbon monitoring data can be obtained according to the evaluation weights corresponding to the evaluation indexes; finally, the quality assessment grade of the carbon monitoring data can be assessed according to the comprehensive carbon assessment value. Therefore, in the embodiment of the application, the comprehensiveness, the integrity, the accuracy, the normalization, the instantaneity and the timeliness of the carbon monitoring data are comprehensively considered, and the six evaluation indexes are quantified, so that the evaluation of the carbon monitoring data is more effective, visual and scientific. In addition, the analytic hierarchy process is adopted to calculate the evaluation weight of each evaluation index, so that the evaluation scene becomes more various and the evaluation result is more flexible.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only embodiments of the present application, and other drawings may be obtained according to the provided drawings without inventive effort for those skilled in the art.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for evaluating quality of carbon monitoring data according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of obtaining evaluation weights according to an embodiment of the present application;
fig. 4 is a schematic diagram of a carbon monitoring data quality evaluation device according to an embodiment of the present application.
The marks in the figure: the device comprises a 10-carbon monitoring data quality evaluation device, a 101-processor, a 102-memory, a 103-I/O interface, a 104-database, a 40-carbon monitoring data quality evaluation device, a 401-first calculation unit, a 402-second calculation unit, a 403-acquisition unit and a 404-evaluation unit.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. Embodiments of the application and features of the embodiments may be combined with one another arbitrarily without conflict. Also, while a logical order is depicted in the flowchart, in some cases, the steps depicted or described may be performed in a different order than presented herein.
Carbon monitoring is well known as a key element in quantifying carbon emissions, achieving carbon peaks and carbon neutralization. The carbon monitoring data can be accurately and comprehensively obtained through carbon monitoring so as to support carbon emission accounting verification, and further, a decision maker is facilitated to make reasonable carbon management and carbon emission reduction measures. The quality of the carbon monitoring data is the basis for carrying out data analysis and forming effective and accurate conclusion, and is also the most important premise and guarantee for carrying out macroscopic decision making and policy making by the data applied to the management department.
The accuracy of the carbon monitoring data is greatly influenced by human factors, so that the quality of the carbon monitoring data has a certain fake risk, and the current judgment of the accuracy of the carbon monitoring data mainly depends on manual subjective supervision, so that the quality grade of the carbon monitoring data cannot be effectively and quantitatively assessed, and if the quality of the carbon monitoring data cannot be effectively supervised, the standard operation of a carbon market can be seriously jeopardized.
Based on the above, the embodiment of the application provides a carbon monitoring data quality evaluation method, in the method, based on the collected carbon monitoring data of a target monitoring area, a comprehensive index, an integrity index, an accuracy index, a normative index, an instant index and a timeliness index of the carbon monitoring data can be calculated, the comprehensive index is used for representing the coverage condition of a carbon monitoring terminal on a carbon emission source, the integrity index is used for representing the complete condition of the carbon monitoring data collection, the accuracy index is used for representing the accurate condition of the carbon monitoring data collection, the normative index is used for representing the equipment normative condition of the carbon monitoring terminal, the instant index is used for representing the synchronous condition of the carbon monitoring data collection and transmission, the timeliness index is used for representing the timeliness condition of the uploading and processing of the carbon monitoring data, and further, a hierarchical analysis method can be adopted for calculating the evaluation weights corresponding to the multiple evaluation indexes respectively, and further, the carbon comprehensive evaluation value of the carbon monitoring data can be obtained according to the multiple evaluation indexes and the evaluation weights corresponding to the multiple evaluation indexes respectively; finally, the quality assessment grade of the carbon monitoring data can be assessed according to the comprehensive carbon assessment value. Therefore, in the embodiment of the application, the comprehensiveness, the integrity, the accuracy, the normalization, the instantaneity and the timeliness of the carbon monitoring data are comprehensively considered, and the six evaluation indexes are quantified, so that the evaluation of the carbon monitoring data is more effective, visual and scientific. In addition, the analytic hierarchy process is adopted to calculate the evaluation weight of each evaluation index, so that the evaluation scene becomes more various and the evaluation result is more flexible.
After the design idea of the embodiment of the present application is introduced, some simple descriptions are made below for application scenarios applicable to the technical solution of the embodiment of the present application, and it should be noted that the application scenarios described below are only used for illustrating the embodiment of the present application and are not limiting. In the specific implementation process, the technical scheme provided by the embodiment of the application can be flexibly applied according to actual needs.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application. The carbon monitoring data quality assessment device 10 may be included in the application scenario.
The carbon monitoring data quality evaluation apparatus 10 has a function of performing complex calculations, and may be, for example, a personal computer (Personal Computer, PC), a portable computer, or the like. The carbon monitoring data quality assessment device 10 may include one or more central processing units 101 (Central Processing Unit, CPU), a memory 102, an I/O interface 103, and a database 104. Specifically, the processor 101 may be a central processing unit (central processing unit, CPU), or a digital processing unit or the like. The memory 102 may be a volatile memory (RAM), such as a random-access memory (RAM); the memory 102 may also be a nonvolatile memory (non-volatile memory), such as a read-only memory (rom), a flash memory (flash memory), a hard disk (HDD) or a Solid State Drive (SSD); or memory 102, is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 102 may be a combination of the above. The memory 102 may store part of program instructions of the carbon monitoring data quality assessment method provided by the embodiment of the present application, where the program instructions, when executed by the processor 101, can be used to implement the steps of the carbon monitoring data quality assessment method provided by the embodiment of the present application, so as to solve the problem that quality grade assessment cannot be performed on the carbon monitoring data in an effective and quantitative manner. The database 104 may be used to store carbon monitoring data, a plurality of evaluation indexes, a plurality of evaluation weights, and data such as a carbon comprehensive evaluation value, which are related in the scheme provided by the embodiment of the present application.
In the embodiment of the present application, when the quality evaluation of the carbon monitoring data is required, the carbon monitoring data quality evaluation device 10 may acquire the carbon monitoring data of each carbon monitoring point through the I/O interface 103 in real time, and then the processor 101 of the carbon monitoring data quality evaluation device 10 may perform the quality evaluation of the carbon monitoring data according to the program instruction of the quality evaluation method of the carbon monitoring data provided in the embodiment of the present application in the memory 102, so as to perform quality grade evaluation on the carbon monitoring data in an effective and quantitative manner. In addition, the data such as the carbon monitoring data, the plurality of evaluation indexes, the plurality of evaluation weights, and the carbon comprehensive evaluation value in the evaluation process may be stored in the database 104.
Of course, the method provided by the embodiment of the present application is not limited to the application scenario shown in fig. 1, but may be used in other possible application scenarios, and the embodiment of the present application is not limited. The functions that can be implemented by each device in the application scenario shown in fig. 1 will be described together in the following method embodiments, which are not described in detail herein. The method according to the embodiment of the present application will be described below with reference to the accompanying drawings.
As shown in fig. 2, a schematic flow chart of a carbon monitoring data quality assessment method according to an embodiment of the present application is provided, and the method may be performed by the carbon monitoring data quality assessment apparatus 10 in fig. 1, and the flow chart of the method is described below.
Step 201: based on the collected carbon monitoring data of the target monitoring area, a plurality of evaluation indexes of the carbon monitoring data are calculated.
In an embodiment of the present application, the plurality of evaluation indexes may include: a comprehensiveness index, an integrity index, an accuracy index, a normative index, an instantaneity index and a timeliness index. The integrity index can be used for representing the covering condition of the carbon monitoring terminal on the carbon emission source, the integrity index can be used for representing the complete condition of carbon monitoring data acquisition, the accuracy index can be used for representing the accurate condition of carbon monitoring data acquisition, the normalization index can be used for representing the equipment normalization condition of the carbon monitoring terminal, the timeliness index can be used for representing the synchronous condition of carbon monitoring data acquisition and transmission, and the timeliness index can be used for representing the timely condition of uploading and processing of carbon monitoring data.
Specifically, the carbon emission sources can be divided into fixed carbon emission sources and unstructured carbon emission sources, wherein, for the setting of the monitoring points of the fixed carbon emission sources, the relevant carbon monitoring standards can be referred to, for example, the non-dispersive infrared absorption method for measuring the carbon dioxide in the exhaust gas of the fixed pollution sources (HJ 870-2017), the technical specification for continuously monitoring the carbon dioxide emission of the fixed pollution sources (T/CAEPI 48-2022) and the like, and further, the carbon monitoring points can be directly arranged at the positions of a carbon emission flue, a chimney, an exhaust drum and the like. The carbon emission condition of the target monitoring area can be statistically analyzed aiming at the setting of the monitoring points of the unorganized carbon emission source, and the carbon monitoring points are set at places where the maximum carbon concentration is possible, and the specific reference can be made to the standard specifications of the technical guidelines for unorganized emission monitoring of atmospheric pollutants (HJ/T55-2000), the comprehensive emission standard of atmospheric pollutants (GB 16297-1996) and the like.
Carbon monitoring data monitored by carbon monitoring terminalThe concentration is dominant, and can of course also include flow rate, temperature, humidity, pressure, etc. In addition, the data collected by the carbon monitoring terminal can be transmitted to the carbon monitoring data quality assessment device 10 (a certain system/platform/controller) in a wired or wireless manner, so as to perform analysis processing and application of the data.
In one possible implementation, since the global index may be used to characterize the coverage of carbon emission sources by the carbon monitoring terminal, i.e., evaluate whether the carbon monitoring points cover all of the carbon emission sources within the target monitoring area to determine whether a carbon emission source is missing. Therefore, in the embodiment of the application, the comprehensive index of the carbon monitoring data of the target monitoring area can be calculated according to the number of the actually arranged carbon monitoring terminals and the number of the actual carbon emission sources in the target monitoring area. The global index can be obtained specifically by the following formula (1):
（1）
wherein,,is a comprehensive index, is->For the number of carbon monitoring terminals actually disposed within the target monitoring area,the number of all carbon emission sources in the target monitoring area is specifically obtained by statistically investigating the carbon emission conditions of the entire target monitoring area.
Taking a certain thermal power plant as an example, assume that the carbon emission sources comprise 4 chimney fixed sources and 10 unorganized emission sources, and a carbon monitoring terminal is arranged at each carbon emission source for monitoring, so that a target monitoring area covers the whole range of a park. Thus, the number of actually arranged carbon monitoring terminals and the number of actually all carbon emission sources in the target monitoring area are both 14, and further, the overall index can be derived according to the above formula (1)At 100, i.e., indicating that the placement coverage of the carbon monitoring terminals is comprehensive, the carbon monitoring data can comprehensively reflect the level of carbon emissions at the campus.
In one possible embodiment, the integrity index may be used to characterize the integrity of the carbon monitoring data collection, i.e., to evaluate whether the carbon monitoring data collected at each carbon monitoring point is continuously complete. Therefore, in the embodiment of the application, the integrity index of the carbon monitoring data of the target monitoring area can be calculated according to the number of times the data of each carbon monitoring point is actually acquired, the number of times the data of each carbon monitoring point should be acquired and the total number of the carbon monitoring terminals arranged in the evaluation period. The integrity index can be obtained specifically by the following formula (2):
（2）
Wherein,,for the integrity index, < >>To evaluate the%>The number of times data is actually acquired for each carbon monitoring point, < >>To evaluate the%>Number of times data should be collected for each carbon monitoring point, < >>To evaluate the total number of carbon monitoring terminals arranged in a cycle.
Taking the above-mentioned certain thermal power plant as an example, assuming that all 14 carbon monitoring points are continuously monitored, the sampling frequency is 15min, and 24 hours is taken as an evaluation period, then in 24 hours, the number of times that each carbon monitoring point should collect data is 96, the number of times that data is actually collected is 96, and further, the integrity index can be obtained according to the above formula (2)100, i.e., indicating that the carbon monitoring data collected is complete and uninterrupted.
In one possible implementation, since the accuracy index may be used to characterize the accuracy of the carbon monitoring data collection, i.e., to evaluate whether the carbon monitoring data is accurate, it may be performed in two ways, one is to verify whether the monitoring device is within a valid verification, calibration or calibration period, and the other is to perform a traceable verification of the carbon monitoring data. Therefore, in the embodiment of the application, the accuracy index of the carbon monitoring data of the target monitoring area can be calculated according to the number of the carbon monitoring terminals meeting the first preset condition in the evaluation period and the total number of the carbon monitoring terminals, wherein the first preset condition can be used for determining whether the carbon monitoring data acquired by each carbon monitoring terminal is accurate or not. The accuracy index can be obtained specifically by the following formula (3):
（3）
Wherein,,for accuracy index, ++>For evaluating the number of carbon monitoring terminals with accurate carbon monitoring data determined by valid verification, calibration or magnitude traceability in a cycle, < >>To evaluate the total number of carbon monitoring terminals arranged in a cycle.
In practical application, for the verification of the monitoring equipment in the first mode, if the monitoring equipment is verified and calibrated by a third party institution, the accuracy level of the monitoring equipment can be determined by consulting a related verification certificate and a calibration report; if the monitoring equipment is self-calibrated in the monitoring unit, the monitoring equipment can be used for checking whether the tracing chain is complete, whether the tracing method accords with the corresponding standard specification and whether the tracing record isWhether the accuracy is complete or not, and determining the accuracy level; the traceability check of the two-carbon monitoring data in the mode is mainly aimed at the carbon monitoring data of the carbon monitoring terminals of fixed carbon emission sources such as a chimney, and the carbon monitoring data can be compared with carbon accounting data obtained by an emission factor method or a mass balance method to determine the accuracy level of the carbon monitoring data. Also, taking the above-mentioned certain thermal power plant as an example, the accuracy index can be calculated according to the above-mentioned formula (3)100, i.e., indicates high accuracy of the carbon monitoring data.
In one possible implementation, since the normalization index may be used to characterize the equipment specification of the carbon monitoring terminal, i.e., against the carbon emission-related monitoring criteria, it is determined whether the carbon monitoring process is performed strictly in accordance with the standard specification. Therefore, in the embodiment of the present application, the normalization index of the carbon monitoring data of the target monitoring area may be calculated according to the number of carbon monitoring terminals and the total number of the carbon monitoring terminals arranged in the evaluation period, which meet the second preset condition, where the second preset condition may be used to determine whether the monitoring flow of each carbon monitoring terminal is normalized. The normalization index can be obtained specifically by the following formula (4):
（4）
Wherein,,is normative index, ++>To evaluate the number of carbon monitoring terminals in the cycle for which the carbon monitoring flow meets the standard specification, +.>To evaluate the total number of carbon monitoring terminals arranged in a cycle.
In practical application, the normalization of the carbon monitoring process includes the installation of the carbon monitoring terminal and the technical performance indexWhether each link including debugging detection, carbon monitoring environmental quality, daily inspection maintenance and the like is standard or not, wherein any link does not meet the standard requirement and is regarded as non-standard. Also taking the above-mentioned certain thermal power plant as an example, it is assumed that two carbon monitoring terminals do not perform debugging and detection of technical indexes before carbon monitoring, so that the requirements of monitoring specifications are not met, and the other 12 carbon monitoring terminals meet the monitoring specifications. Furthermore, the normalization index can be calculated according to the above formula (4)85.7.
In one possible embodiment, the timeliness index may be used to characterize the synchronization of carbon monitoring data acquisition and transmission, i.e., to evaluate whether carbon monitoring data acquisition and transmission are synchronized in real time. Therefore, in the embodiment of the application, the instantaneity index of the carbon monitoring data of the target monitoring area can be calculated according to the number of times of real-time data transmission of each carbon monitoring terminal and the number of times of actual data acquisition of each carbon monitoring point in the evaluation period. The instantaneity index can be obtained specifically by the following formula (5):
（5）
Wherein,,is an immediate index>To evaluate the%>The number of data transmission times of the carbon monitoring terminal in real time, < >>To evaluate the%>The number of times the actual data is collected for each monitoring point.
In practical application, whether carbon monitoring data are uploaded or not influences the working progress of a data platform in data analysis, early warning, evaluation and the like. Taking the above-mentioned certain thermal power plant as an example, assuming that all 14 carbon monitoring points are continuously monitored, the sampling frequency is 15min, and 24h is an evaluation period, then the number of times of actually collecting data at each monitoring point in 24h is 96, but due to the wired transmission failure, the carbon monitoring data of 12h are not transmitted in real time by two of the two carbon monitoring terminals, and further, the instant index can be calculated according to the above formula (5)92.6.
In one possible embodiment, the timeliness index may be used to characterize the timeliness of the uploading and processing of the carbon monitoring data, i.e., to rank the time intervals of the uploading date and the statistical date of the carbon monitoring data to reflect whether the monitoring data can be guaranteed when needed. Therefore, in the embodiment of the application, the timeliness index of the carbon monitoring data of the target monitoring area can be calculated according to the timeliness score of each carbon monitoring terminal in the evaluation period at each data acquisition time, the number of times of real-time data transmission of each carbon monitoring terminal and the total number of arrangement of the carbon monitoring terminals. The timeliness index can be obtained specifically by the following formula (6):
（6）
Wherein,,for timeliness index, the->To evaluate the +.>Carbon monitoring terminal->Time score of each data acquisition moment, +.>To evaluate the%>The number of data transmission times of the carbon monitoring terminal in real time, < >>To evaluate the total number of carbon monitoring terminals arranged in a cycle.
Table 1:
in practical applications, whether the carbon monitoring data is uploaded timely or not represents the initiative of an evaluator on the carbon monitoring work, and it can be understood that the larger the time interval between the uploading date and the statistical date is, the lower the score should be. Therefore, the evaluator can set the statistical period of the carbon monitoring data according to the actual requirement. In the embodiment of the present application, as shown in table 1, a reference for rating is provided for the time interval between the uploading date and the statistics date for the carbon monitoring data timeliness rating and evaluation score table provided in the embodiment of the present application. Taking the above-mentioned certain thermal power plant as an example, the timeliness index can be calculated according to the above-mentioned formula (6)100, namely, the data platform is proved to work very timely in carrying out carbon monitoring data analysis and the like.
Step 202: and calculating the evaluation weights corresponding to the evaluation indexes by using an analytic hierarchy process.
In the embodiment of the application, an analytic hierarchy process can be adopted to calculate the evaluation weights corresponding to the comprehensive index, the integrity index, the accuracy index, the normalization index, the timeliness index and the timeliness index. Referring specifically to fig. 3, a schematic flow chart of acquiring an evaluation weight according to an embodiment of the present application is shown, and the method may be performed by the carbon monitoring data quality evaluation apparatus 10 in fig. 1, and the flow chart of the method is described below.
Step 301: and comparing the importance of the comprehensive index, the integrity index, the accuracy index, the normative index, the instantaneity index and the timeliness index to obtain a judgment matrix.
Table 2:
in the embodiment of the application, when an analytic hierarchy process is adopted, all factors are not put together for comparison, but are compared with each other two by two; the relative scale is adopted to reduce the difficulty of comparing the factors with each other to improve the accuracy, and as shown in the table 2, the judgment matrix elements provided by the embodiment of the applicationImportance scale of (c) is provided.
Also taking the above-mentioned certain thermal power plant as an example, as shown in table 3, the table 3 provides a pairwise importance comparison table, and in this table 3, the following judgment matrix D is obtained by comparing the importance of 6 evaluation indexes, namely, the overall index, the integrity index, the accuracy index, the normalization index, the timeliness index, and the timeliness index.
Table 3:
that is, the judgment matrix d=。
Step 302: and obtaining the maximum characteristic root of the judgment matrix by adopting a method of root.
In the embodiment of the present application, the thermal power plant is also taken as an example, and the maximum characteristic root of the judgment matrix D can be calculated by a root methodI.e. can get +.>。
Step 303: and calculating a linear irrelevant feature vector corresponding to the maximum feature root, and obtaining the evaluation weights corresponding to the evaluation indexes.
In the embodiment of the application, the certain thermal power plant is taken as an example, and the maximum characteristic root is further taken as the basisCalculating maximum characteristic root->Corresponding linear independent feature vector [0.1543,0.0532,0.3273,0.3273,0.0297,0.1082 ]]Wherein each element in the linear independent feature vector is the corresponding evaluation weight of each of the 6 evaluation indexes, namely, the weight vector w= [0.1543,0.0532,0.3273,0.3273,0.0297,0.1082 ] of the 6 evaluation indexes]。
Step 203: and acquiring a carbon comprehensive evaluation value of the carbon monitoring data according to the plurality of evaluation indexes and the evaluation weights corresponding to the plurality of evaluation indexes.
In the embodiment of the application, each evaluation index can be weighted and summed according to the evaluation weight to obtain the carbon comprehensive evaluation value The carbon comprehensive evaluation value->Specifically, the method can be obtained by the following formula (7):
(7)
wherein,,the evaluation weights of the comprehensiveness index, the integrity index, the accuracy index, the normative index, the instantaneity index and the timeliness index are respectively. Also, taking the above-mentioned certain thermal power plant as an example, further, the comprehensive evaluation index +.A.of the carbon monitoring data in the 24-hour evaluation period can be calculated from the above-mentioned formula (7)>95.099.
Step 204: and evaluating the quality evaluation grade of the carbon monitoring data according to the comprehensive evaluation value of the carbon.
In the embodiment of the present application, as shown in Table 4, the carbon comprehensive evaluation values provided in the embodiment of the present applicationAnd a quality evaluation grade corresponding relation table of the carbon monitoring data.
Table 4:
taking the above-mentioned certain thermal power plant as an example, further, the overall evaluation index is due to95.099, then a quality assessment ranking of "excellent" can be output according to table 4 above.
In summary, in the embodiment of the application, the comprehensiveness, the integrity, the accuracy, the normalization, the instantaneity and the timeliness of the carbon monitoring data are comprehensively considered, and the six evaluation indexes are quantified, so that the evaluation of the carbon monitoring data is more effective, visual and scientific. In addition, the analytic hierarchy process is adopted to calculate the evaluation weight of each evaluation index, so that the evaluation scene becomes more various and the evaluation result is more flexible.
Based on the same inventive concept, an embodiment of the present application provides a carbon monitoring data quality evaluation apparatus 40, as shown in fig. 4, including:
a first calculation unit 401 for calculating a plurality of evaluation indexes of carbon monitoring data based on the collected carbon monitoring data of the target monitoring region; wherein the plurality of evaluation indexes includes: a comprehensiveness index, an integrity index, an accuracy index, a normative index, an instantaneity index and a timeliness index; the comprehensive index is used for representing the covering condition of the carbon monitoring terminal on the carbon emission source, the integrity index is used for representing the complete condition of carbon monitoring data acquisition, the accuracy index is used for representing the accurate condition of carbon monitoring data acquisition, the normalization index is used for representing the equipment normalization condition of the carbon monitoring terminal, the timeliness index is used for representing the synchronous condition of carbon monitoring data acquisition and transmission, and the timeliness index is used for representing the timely condition of uploading and processing of the carbon monitoring data;
a second calculating unit 402, configured to calculate an evaluation weight corresponding to each of the plurality of evaluation indexes by using an analytic hierarchy process;
an obtaining unit 403, configured to obtain a carbon comprehensive evaluation value of the carbon monitoring data according to the plurality of evaluation indexes and respective evaluation weights corresponding to the plurality of evaluation indexes;
And an evaluation unit 404 for evaluating the quality evaluation level of the carbon monitoring data based on the carbon comprehensive evaluation value.
Optionally, the first computing unit 401 is further configured to:
and calculating the comprehensive index of the carbon monitoring data of the target monitoring area according to the number of the actually arranged carbon monitoring terminals and the number of the actual carbon emission sources in the target monitoring area.
Optionally, the first computing unit 401 is further configured to:
and calculating the integrity index of the carbon monitoring data of the target monitoring area according to the number of actual data acquisition of each carbon monitoring point, the number of data acquisition of each carbon monitoring point and the total arrangement number of the carbon monitoring terminals in the evaluation period.
Optionally, the first computing unit 401 is further configured to:
calculating an accuracy index of carbon monitoring data of the target monitoring area according to the number of carbon monitoring terminals meeting the first preset condition in the evaluation period and the total number of the carbon monitoring terminals; the first preset condition is used for determining whether carbon monitoring data acquired by each carbon monitoring terminal are qualified or not.
Optionally, the first computing unit 401 is further configured to:
calculating a normalization index of carbon monitoring data of the target monitoring area according to the number of the carbon monitoring terminals meeting the second preset condition in the evaluation period and the total arrangement number of the carbon monitoring terminals; the second preset condition is used for determining whether the monitoring flow of each carbon monitoring terminal is standard or not.
Optionally, the first computing unit 401 is further configured to:
and calculating the instantaneity index of the carbon monitoring data of the target monitoring area according to the number of times of real-time data transmission of each carbon monitoring terminal and the number of times of actual data acquisition of each carbon monitoring point in the evaluation period.
Optionally, the first computing unit 401 is further configured to:
and calculating the timeliness index of the carbon monitoring data of the target monitoring area according to the timeliness score of each carbon monitoring terminal in the evaluation period at each data acquisition time, the number of times of real-time data transmission of each carbon monitoring terminal and the total number of arrangement of the carbon monitoring terminals.
Optionally, the second computing unit 402 is further configured to:
comparing the importance of the comprehensive index, the integrity index, the accuracy index, the normalization index, the timeliness index and the timeliness index to obtain a judgment matrix;
obtaining the maximum characteristic root of the judgment matrix by adopting a method of root;
and calculating a linear irrelevant feature vector corresponding to the maximum feature root, and obtaining the evaluation weights corresponding to the evaluation indexes.
The device can be used for executing the method executed by the carbon monitoring data quality evaluation device in the embodiment shown in fig. 2-3, so that the description of the functions and the like that can be realized by each functional module of the device can be referred to in the embodiment shown in fig. 2-3, and is not repeated.
In some possible embodiments, aspects of the method provided by the present application may also be implemented in the form of a program product, which comprises a program code for causing a computer device to carry out the steps of the method according to the various exemplary embodiments of the present application described in the present specification when the program product is run on the computer device, for example, the computer device may carry out the method as carried out by the carbon monitoring data quality assessment apparatus in the examples shown in fig. 2 to 3.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware associated with program instructions, where the foregoing program may be stored in a computer readable storage medium, and when executed, the program performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes. Alternatively, the above-described integrated units of the present application may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
While preferred embodiments of the present application 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. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (11)
1. A method for evaluating quality of carbon monitoring data, the method comprising:
calculating a plurality of evaluation indexes of the carbon monitoring data based on the collected carbon monitoring data of the target monitoring area; wherein the plurality of evaluation indexes comprises: a comprehensiveness index, an integrity index, an accuracy index, a normative index, an instantaneity index and a timeliness index; the comprehensive index is used for representing the covering condition of the carbon monitoring terminal on the carbon emission source, the integrity index is used for representing the complete condition of carbon monitoring data acquisition, the accuracy index is used for representing the accurate condition of carbon monitoring data acquisition, the normalization index is used for representing the equipment normalization condition of the carbon monitoring terminal, the instantaneity index is used for representing the synchronous condition of carbon monitoring data acquisition and transmission, and the timeliness index is used for representing the timely condition of uploading and processing of the carbon monitoring data;
Calculating the corresponding evaluation weights of the plurality of evaluation indexes by adopting an analytic hierarchy process;
acquiring a carbon comprehensive evaluation value of the carbon monitoring data according to the plurality of evaluation indexes and the evaluation weights corresponding to the plurality of evaluation indexes;
and according to the comprehensive carbon evaluation value, evaluating the quality evaluation grade of the carbon monitoring data.
2. The method of claim 1, wherein the step of calculating a plurality of evaluation indices for the carbon monitoring data based on the collected carbon monitoring data for the target monitoring region comprises:
and calculating the comprehensive index of the carbon monitoring data of the target monitoring area according to the number of the actually arranged carbon monitoring terminals and the number of the actual carbon emission sources in the target monitoring area.
3. The method of claim 1, wherein the step of calculating a plurality of evaluation indices for the carbon monitoring data based on the collected carbon monitoring data for the target monitoring region comprises:
and calculating the integrity index of the carbon monitoring data of the target monitoring area according to the number of times of actually collecting data of each carbon monitoring point in the evaluation period, the number of times of data to be collected of each carbon monitoring point and the total number of arrangement of the carbon monitoring terminals.
4. The method of claim 1, wherein the step of calculating a plurality of evaluation indices for the carbon monitoring data based on the collected carbon monitoring data for the target monitoring region comprises:
calculating an accuracy index of carbon monitoring data of the target monitoring area according to the number of carbon monitoring terminals meeting a first preset condition in an evaluation period and the total number of the carbon monitoring terminals; the first preset condition is used for determining whether the carbon monitoring data acquired by each carbon monitoring terminal are accurate or not.
5. The method of claim 1, wherein the step of calculating a plurality of evaluation indices for the carbon monitoring data based on the collected carbon monitoring data for the target monitoring region comprises:
calculating a normalization index of carbon monitoring data of the target monitoring area according to the number of carbon monitoring terminals meeting a second preset condition in the evaluation period and the total number of the carbon monitoring terminals; the second preset condition is used for determining whether the monitoring flow of each carbon monitoring terminal is standard or not.
6. The method of claim 1, wherein the step of calculating a plurality of evaluation indices for the carbon monitoring data based on the collected carbon monitoring data for the target monitoring region comprises:
And calculating the instantaneity index of the carbon monitoring data of the target monitoring area according to the number of times of real-time data transmission of each carbon monitoring terminal and the number of times of actual data acquisition of each carbon monitoring point in the evaluation period.
7. The method of claim 1, wherein the step of calculating a plurality of evaluation indices for the carbon monitoring data based on the collected carbon monitoring data for the target monitoring region comprises:
and calculating the timeliness index of the carbon monitoring data of the target monitoring area according to the timeliness score of each carbon monitoring terminal in the evaluation period at each data acquisition time, the number of times of real-time data transmission of each carbon monitoring terminal and the total number of arrangement of the carbon monitoring terminals.
8. The method of claim 1, wherein said calculating the respective evaluation weights of the plurality of evaluation indexes using a hierarchical analysis method comprises:
performing pairwise importance comparison on the comprehensive index, the integrity index, the accuracy index, the normalization index, the instantaneity index and the timeliness index to obtain a judgment matrix;
obtaining the maximum characteristic root of the judgment matrix by adopting a method of root;
And calculating the linear irrelevant feature vector corresponding to the maximum feature root, and obtaining the evaluation weight corresponding to each of the plurality of evaluation indexes.
9. A carbon monitoring data quality assessment device, the device comprising:
a first calculation unit for calculating a plurality of evaluation indexes of the carbon monitoring data based on the collected carbon monitoring data of the target monitoring region; wherein the plurality of evaluation indexes comprises: a comprehensiveness index, an integrity index, an accuracy index, a normative index, an instantaneity index and a timeliness index; the comprehensive index is used for representing the covering condition of the carbon monitoring terminal on the carbon emission source, the integrity index is used for representing the complete condition of carbon monitoring data acquisition, the accuracy index is used for representing the accurate condition of carbon monitoring data acquisition, the normalization index is used for representing the equipment normalization condition of the carbon monitoring terminal, the instantaneity index is used for representing the synchronous condition of carbon monitoring data acquisition and transmission, and the timeliness index is used for representing the timely condition of uploading and processing of the carbon monitoring data;
the second calculation unit is used for calculating the evaluation weights corresponding to the evaluation indexes by adopting an analytic hierarchy process;
An obtaining unit, configured to obtain a carbon comprehensive evaluation value of the carbon monitoring data according to the multiple evaluation indexes and evaluation weights corresponding to the multiple evaluation indexes;
and the evaluation unit is used for evaluating the quality evaluation grade of the carbon monitoring data according to the comprehensive evaluation value of the carbon.
10. A carbon monitoring data quality assessment apparatus, the apparatus comprising:
a memory for storing program instructions;
a processor for invoking program instructions stored in the memory and for performing the method of any of claims 1-8 in accordance with the obtained program instructions.
11. A storage medium storing computer-executable instructions for causing a computer to perform the steps comprised by the method of any one of claims 1-8.
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