CN111784105A - Energy consumption calculation result quality evaluation method and device and storage medium - Google Patents
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Abstract
The invention discloses a method for evaluating the quality of an energy consumption calculation result, which comprises the following steps: identifying all meter data and mathematical operation in the energy consumption calculation formula, and setting a first set score, a second set score and a third set score according to the actual production requirement of a target area; respectively calculating a first evaluation value corresponding to a first meter of the data interruption, a second evaluation value corresponding to a second meter with an energy consumption value of 0 and a third evaluation value corresponding to a third meter with mathematical operation errors; and calculating a confidence coefficient of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and judging an energy consumption calculation result quality evaluation result of the energy consumption calculation formula according to the confidence coefficient. The invention provides an energy consumption calculation result quality evaluation method, which aims to solve the technical problems that in the existing regional energy consumption calculation method, due to the fact that a faulty meter exists in actual calculation, an energy consumption calculation result is unreliable, and the energy consumption calculation result cannot be accurately evaluated.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for evaluating the quality of an energy consumption calculation result and a storage medium.
Background
Since the 21 st century, with the development trend of rapid advancement of social economy, China increasingly pays more attention to energy conservation and emission reduction in various fields. The high-energy-consumption production type enterprise can accurately calculate the regional energy efficiency and effectively save energy and reduce consumption according to the regional energy efficiency, so that the development quality and benefit of the enterprise can be improved, and the accurate calculation of the regional energy efficiency is particularly important.
In the area energy consumption calculation method in the prior art, energy consumption values of various meters are generally substituted into an energy consumption calculation formula, and the calculation result of the area energy consumption is directly calculated through the energy consumption calculation formula. The inventor of the application finds that in actual calculation, a meter with a fault often exists, so that the credibility of the calculated result of the regional energy consumption calculated by the existing regional energy consumption calculating method is questionable, and an accurate energy consumption calculated result cannot be obtained.
Disclosure of Invention
The invention provides a method and a device for evaluating the quality of an energy consumption calculation result and a storage medium, and aims to solve the technical problems that in the existing regional energy consumption calculation method, due to the fact that a fault meter exists in actual calculation, the energy consumption calculation result is unreliable, and the energy consumption calculation result cannot be accurately evaluated.
In one aspect, a first embodiment of the present invention provides an energy consumption calculation result quality evaluation method, including:
identifying all meter data and mathematical operation in the target area energy consumption calculation formula, and setting a first set score, a second set score and a third set score according to the actual production requirement of the target area;
when a first meter timer with data interruption exists in the energy consumption calculation formula, outputting an energy consumption value of the first meter timer as a set value, and outputting a first evaluation value; the first evaluation value is a product of the first set score and the first meter number; wherein the set value is a non-zero value;
when a second meter with the energy consumption value of 0 exists in the energy consumption calculation formula, outputting the energy consumption value of the second meter as the set value, and outputting a second evaluation value; the second evaluation value is a product of the second set score and the second meter number;
when a third meter with mathematical operation error exists in the energy consumption calculation formula, outputting a mathematical operation result of the third meter as the set value, and outputting a third evaluation value; the third evaluation value is the product of the third set fraction and the total number of meters in the energy consumption calculation formula;
and calculating a confidence coefficient of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and judging an energy consumption calculation result quality evaluation result of the energy consumption calculation formula according to the confidence coefficient.
Further, the identifying all meter data and mathematical operations in the energy consumption calculation formula includes:
and capturing the calculation exception thrown out from the energy consumption calculation formula through software codes, and identifying the wrong mathematical operation in the energy consumption calculation formula.
Further, the calculating a confidence coefficient of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of meters specifically includes:
and calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total meter number, and calculating the confidence coefficient according to the dirty score.
Further, a dirty score of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and the confidence coefficient is calculated according to the dirty score, specifically:
calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, wherein the dirty score has an expression:
a dirty score (first evaluation value + second evaluation value + third evaluation value) is a boolean value in which a mathematical operation error occurs/total number of meters;
calculating the confidence coefficient according to the dirty score, wherein the expression of the confidence coefficient is as follows:
the confidence coefficient is (first set score + second set score + third set score) boolean value with mathematical operation error-dirty score)/(first set score + second set score + third set score) boolean value with mathematical operation error 100%.
Further, the quality evaluation result of the energy consumption calculation formula is judged according to the confidence coefficient, and specifically comprises the following steps:
comparing the confidence coefficient with a preset confidence coefficient threshold, and judging that the quality of the energy consumption calculation result of the energy consumption calculation formula is reliable when the confidence coefficient is greater than or equal to the confidence coefficient threshold; and when the confidence coefficient is smaller than a confidence coefficient threshold value, judging that the quality of the energy consumption calculation result of the energy consumption calculation formula is unreliable.
On the other hand, a second embodiment of the present invention provides an energy consumption calculation result quality evaluation apparatus, which includes an identification module, a first output module, a second output module, a third output module, and a judgment module;
the identification module is used for identifying all meter data and mathematical operation in the target area energy consumption calculation formula;
the first output module is used for outputting the energy consumption value of the first meter as a set value and outputting a first evaluation value when the first meter of the interruption data exists in the energy consumption calculation formula; the first evaluation value is a product of the first set score and the first meter number; wherein the set value is a non-zero value;
the second output module is used for outputting the energy consumption value of the second meter to be the set value and outputting a second evaluation value when the second meter with the energy consumption value of 0 is present in the energy consumption calculation formula; the second evaluation value is a product of the second set score and the second meter number;
the third output module is used for outputting a mathematical operation result of the third meter as the set value and outputting a third evaluation value when the third meter with the mathematical operation error exists in the energy consumption calculation formula; the third evaluation value is the product of the third set fraction and the total number of meters in the energy consumption calculation formula;
the judging module is used for calculating a confidence coefficient of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and judging an energy consumption calculation result quality evaluation result of the energy consumption calculation formula according to the confidence coefficient.
Further, the identification module includes:
and capturing the calculation exception thrown out from the energy consumption calculation formula through software codes, and identifying the wrong mathematical operation in the energy consumption calculation formula.
Further, the method is characterized in that the confidence coefficient of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of meters, and specifically:
and calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total meter number, and calculating the confidence coefficient according to the dirty score.
Further, a dirty score of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and the confidence coefficient is calculated according to the dirty score, specifically:
calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, wherein the dirty score has an expression:
a dirty score (first evaluation value + second evaluation value + third evaluation value) is a boolean value in which a mathematical operation error occurs/total number of meters;
calculating the confidence coefficient according to the dirty score, wherein the expression of the confidence coefficient is as follows:
the confidence coefficient is (first set score + second set score + third set score) boolean value with mathematical operation error-dirty score)/(first set score + second set score + third set score) boolean value with mathematical operation error 100%.
In still another aspect, a further embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the energy consumption calculation result quality assessment method as described above.
The invention provides a method, a device and a storage medium for evaluating the quality of an energy consumption calculation result, which realize the quality evaluation of the energy consumption calculation result by identifying all meter data and mathematical operation in an energy consumption calculation formula and calculating the confidence coefficient of the energy consumption calculation formula according to the identified result, so as to solve the technical problems that the energy consumption calculation result is unreliable and the energy consumption calculation result cannot be accurately evaluated due to the fact that a fault meter exists in the actual calculation in the existing regional energy consumption calculation method.
Drawings
Fig. 1 is a schematic flow chart of a method for evaluating the quality of an energy consumption calculation result according to a first embodiment of the present invention;
FIG. 2 is another schematic flow chart of a method for evaluating the quality of energy consumption calculation results according to the first embodiment of the present invention;
fig. 3 is a schematic structural diagram of an energy consumption calculation result quality evaluation apparatus according to a first embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it is to be understood that the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Referring to fig. 1-2, a first embodiment of the present invention is shown. The embodiment of the invention provides an energy consumption calculation result quality evaluation method as shown in figure 1, which comprises the following steps:
s1, identifying all meter data and mathematical operation in the energy consumption calculation formula of the target area, and setting a first set score, a second set score and a third set score according to the actual production requirement of the target area;
in the embodiment of the present invention, it can be understood that the target area, such as a factory area, is implemented by counting several meters, and the types of the meters include: output meter, electricity meter, water meter, output meter, water gas meter, water-coal-slurry meter, natural gas meter, steam meter, hot oil meter, diesel meter, carbon dioxide meter, argon meter, etc. Each factory area has a one-day area energy consumption calculation formula, and the calculation logic of the one-day area energy consumption calculation formula relates to four mathematical operations of addition, subtraction, multiplication and division, such as: the energy consumption calculation formula of a certain plant area is B1+ B2+ B3 (B4/(B4+ B5) -B6+ B7.. after the energy consumption calculation formula of the target area is received, the embodiment of the invention sets the first set score, the second set score and the third set score according to the actual production requirement of the target area by identifying all meter data and mathematical operations in the energy consumption calculation formula of the target area.
Alternatively, since in some factory areas, the production is discontinuous, and the energy consumption value of the meter for a certain period of time is 0, it is normal that the second set score needs to be set to a smaller value; in some factory areas, when meter acquisition is turned off to save energy, the first set score is set to a smaller value. According to the embodiment of the invention, the historical energy consumption data of each meter in the target area is obtained, the historical energy consumption data of each meter is compared with the preset value, and the actual production requirement of each meter is judged according to the comparison result, so that the first set score, the second set score and the third set score are set. The historical energy consumption data is acquired by means including, but not limited to, web crawlers and JS page tags.
S2, when a first meter of interruption data exists in the energy consumption calculation formula, outputting the energy consumption value of the first meter as a set value, and outputting a first evaluation value; the first evaluation value is the product of the first set fraction and the first meter number; wherein the set value is a non-zero value;
in the embodiment of the invention, the set value is a nonzero value. Optionally, the set value in the embodiment of the present invention may be 1, and outputting the energy consumption value of the first meter as 1 may avoid being affected when identifying whether the energy consumption value of the meter is 0, so as to improve reliability and accuracy of quality evaluation of the energy consumption calculation result. The meter with data interruption indicates that the meter with data cannot be acquired when meter data is pulled and is substituted into a formula for calculation.
S3, when a second meter with the energy consumption value of 0 exists in the energy consumption calculation formula, outputting the energy consumption value of the second meter as a set value, and outputting a second evaluation value; the second evaluation value is the product of the second set fraction and the second meter number;
in the embodiment of the present invention, it can be understood that when the meter fails, the statistical effect of the meter fails to result in the energy consumption value of the meter being 0. According to the embodiment of the invention, the energy consumption value of the second meter is output to be 1, and the meter with the energy consumption value of 0 as a divisor can be effectively prevented from being mistakenly identified as a mathematical operation error, so that the reliability of the quality evaluation of the energy consumption calculation result can be effectively improved.
S4, when a third meter with mathematical operation error exists in the energy consumption calculation formula, outputting the mathematical operation result of the third meter as a set value, and outputting a third evaluation value; the third evaluation value is the product of the third set fraction and the total number of meters in the energy consumption calculation formula;
optionally, the mathematical operation error comprises an operation in which the divisor exhibits 0. For example, (B3/(B4+ B5), if (B4+ B5) equals 0, a mathematical error will occur.
S5, calculating a confidence coefficient of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and judging the energy consumption calculation result quality evaluation result of the energy consumption calculation formula according to the confidence coefficient.
According to the embodiment of the invention, all meter data and mathematical operation in the energy consumption calculation formula are identified, the confidence coefficient of the energy consumption calculation formula is calculated according to the identified broken data meter, the meter with the energy consumption value of 0 and whether the mathematical operation is wrong or not, and the first set fraction, the second set fraction and the third set fraction are set according to the actual production requirement of a target area, so that the quality evaluation of the energy consumption calculation result is realized, and the technical problems that the energy consumption calculation result is unreliable and the energy consumption calculation result cannot be accurately evaluated due to the fact that the fault meter exists in the actual calculation in the existing regional energy consumption calculation method are solved; in addition, the embodiment of the invention identifies the abnormal numerical value existing in the meter, calculates the confidence coefficient of the energy consumption calculation result, and can effectively improve the reliability of the quality evaluation of the energy consumption calculation result. Please refer to fig. 2, which is another flowchart illustrating a method for evaluating a quality of an energy consumption calculation result according to an embodiment of the present invention.
As a specific implementation manner of the embodiment of the present invention, identifying all meter data and mathematical operations in the energy consumption calculation formula includes:
and capturing the calculation exception in the energy consumption calculation formula through the software code, and identifying the wrong mathematical operation in the energy consumption calculation formula.
In the embodiment of the invention, the abnormity identification in the energy consumption calculation formula can be realized through the software codes in the computer software program, so that all wrong mathematical operations in the energy consumption calculation formula can be identified. Optionally, in the embodiment of the present invention, a numerical value in the energy consumption calculation formula may be identified by a formula identification method, so as to implement quality evaluation of the energy consumption calculation result.
As a specific implementation manner of the embodiment of the present invention, the confidence coefficient of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value, and the total number of meters, and specifically is:
and calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and calculating a confidence coefficient according to the dirty score.
As a specific implementation manner of the embodiment of the present invention, a dirty score of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of meters, and a confidence coefficient is calculated according to the dirty score, specifically:
calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, wherein the expression of the dirty score is as follows:
a dirty score (first evaluation value + second evaluation value + third evaluation value) is a boolean value in which a mathematical operation error occurs/total number of meters;
calculating a confidence coefficient according to the dirty score, wherein the expression of the confidence coefficient is as follows:
the confidence coefficient is (first set score + second set score + third set score) boolean value with mathematical operation error-dirty score)/(first set score + second set score + third set score) boolean value with mathematical operation error 100%.
In the embodiment of the invention, when the mathematical operation is identified to occur in the energy consumption calculation formula, the Boolean value with the mathematical operation error is 1, and when the mathematical operation is not identified to occur in the energy consumption calculation formula, the Boolean value with the mathematical operation error is 0.
As a specific implementation manner of the embodiment of the present invention, the determining, according to the confidence coefficient, the energy consumption calculation result quality evaluation result of the energy consumption calculation formula specifically includes:
comparing the confidence coefficient with a preset confidence coefficient threshold, and judging that the quality of the energy consumption calculation result of the energy consumption calculation formula is reliable when the confidence coefficient is greater than or equal to the confidence coefficient threshold; and when the confidence coefficient is smaller than the threshold value of the confidence coefficient, judging that the quality of the energy consumption calculation result of the energy consumption calculation formula is unreliable.
The value range of the confidence coefficient is 0-100%, and optionally, the larger the value of the confidence coefficient is, the more reliable the quality of the energy consumption calculation result is.
The embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, all meter data and mathematical operation in the energy consumption calculation formula are identified, corresponding evaluation values are calculated for the data interruption meter, the meter with the energy consumption value of 0 and the meter with the error mathematical operation in the energy consumption calculation formula, so that the confidence coefficient of the energy consumption calculation formula is calculated, and the quality evaluation of the energy consumption calculation result is realized, so that the technical problems that the energy consumption calculation result is unreliable and the energy consumption calculation result cannot be accurately evaluated due to the fact that a fault meter exists in the actual calculation in the existing regional energy consumption calculation method are solved.
Referring to fig. 3, a second embodiment of the present invention is provided. The embodiment of the present invention provides an energy consumption calculation result quality evaluation apparatus as shown in fig. 3, which includes an identification module 10, a first output module 20, a second output module 30, a third output module 40, and a determination module 50;
the identification module 10 is used for identifying all meter data and mathematical operation in the energy consumption calculation formula of the target area;
in the embodiment of the present invention, it can be understood that the target area, such as a factory area, is implemented by counting several meters, and the types of the meters include: output meter, electricity meter, water meter, output meter, water gas meter, water-coal-slurry meter, natural gas meter, steam meter, hot oil meter, diesel meter, carbon dioxide meter, argon meter, etc. Each factory area has a one-day area energy consumption calculation formula, and the calculation logic of the one-day area energy consumption calculation formula relates to four mathematical operations of addition, subtraction, multiplication and division, such as: the energy consumption calculation formula of a certain plant area is B1+ B2+ B3 (B4/(B4+ B5) -B6+ B7.
Alternatively, since in some factory areas, the production is discontinuous, and the energy consumption value of the meter for a certain period of time is 0, it is normal that the second set score needs to be set to a smaller value; in some factory areas, when meter acquisition is turned off to save energy, the first set score is set to a smaller value. According to the embodiment of the invention, the historical energy consumption data of each meter in the target area is obtained, the historical energy consumption data of each meter is compared with the preset value, and the actual production requirement of each meter is judged according to the comparison result, so that the first set score, the second set score and the third set score are set.
The first output module 20 is configured to output the energy consumption value of the first meter as a set value and output a first evaluation value when the first meter of the outage data exists in the energy consumption calculation formula; the first evaluation value is the product of the first set fraction and the first meter number;
in the embodiment of the invention, the set value is a nonzero value. Optionally, the set value in the embodiment of the present invention may be 1, and outputting the energy consumption value of the first meter as 1 may avoid being affected when identifying whether the energy consumption value of the meter is 0, so as to improve reliability and accuracy of quality evaluation of the energy consumption calculation result. The meter with data interruption indicates that the meter with data cannot be acquired when meter data is pulled and is substituted into a formula for calculation.
The second output module 30 is configured to output the energy consumption value of the second meter as a set value and output a second evaluation value when the second meter with the energy consumption value of 0 exists in the energy consumption calculation formula; the second evaluation value is the product of the second set fraction and the second meter number;
in the embodiment of the present invention, it can be understood that when the meter fails, the statistical effect of the meter fails to result in the energy consumption value of the meter being 0. According to the embodiment of the invention, the energy consumption value of the second meter is output to be 1, and the meter with the energy consumption value of 0 as a divisor can be effectively prevented from being mistakenly identified as a mathematical operation error, so that the reliability of the quality evaluation of the energy consumption calculation result can be effectively improved.
The third output module 40 is configured to output a mathematical operation result of the third meter as a set value and output a third evaluation value when the third meter with the mathematical operation error exists in the energy consumption calculation formula; the third evaluation value is the product of the third set fraction and the total number of meters in the energy consumption calculation formula;
optionally, the mathematical operation error comprises an operation in which the divisor exhibits 0. For example, (B3/(B4+ B5), if (B4+ B5) equals 0, a mathematical error will occur.
A judging module 50, configured to calculate a confidence coefficient of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value, and the total number of meters, and judge an energy consumption calculation result quality evaluation result of the energy consumption calculation formula according to the confidence coefficient
According to the embodiment of the invention, all meter data and mathematical operation in the energy consumption calculation formula are identified, the confidence coefficient of the energy consumption calculation formula is calculated according to the identified broken data meter, the meter with the energy consumption value of 0 and whether the mathematical operation is wrong or not, and the first set fraction, the second set fraction and the third set fraction are set according to the actual production requirement of a target area, so that the quality evaluation of the energy consumption calculation result is realized, and the technical problems that the energy consumption calculation result is unreliable and the energy consumption calculation result cannot be accurately evaluated due to the fact that the fault meter exists in the actual calculation in the existing regional energy consumption calculation method are solved; in addition, the embodiment of the invention identifies the abnormal numerical value existing in the meter, calculates the confidence coefficient of the energy consumption calculation result, and can effectively improve the reliability of the quality evaluation of the energy consumption calculation result.
As a specific implementation manner of the embodiment of the present invention, the identification module 10 includes:
and capturing the calculation exception in the energy consumption calculation formula through the software code, and identifying the wrong mathematical operation in the energy consumption calculation formula.
In the embodiment of the invention, the abnormity identification in the energy consumption calculation formula can be realized through the software codes in the computer software program, so that all wrong mathematical operations in the energy consumption calculation formula can be identified. Optionally, in the embodiment of the present invention, a numerical value in the energy consumption calculation formula may be identified by a formula identification method, so as to implement quality evaluation of the energy consumption calculation result.
As a specific implementation manner of the embodiment of the present invention, the confidence coefficient of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value, and the total number of meters, and specifically is:
and calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and calculating a confidence coefficient according to the dirty score.
As a specific implementation manner of the embodiment of the present invention, a dirty score of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of meters, and a confidence coefficient is calculated according to the dirty score, specifically:
calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, wherein the expression of the dirty score is as follows:
a dirty score (first evaluation value + second evaluation value + third evaluation value) is a boolean value in which a mathematical operation error occurs/total number of meters;
calculating a confidence coefficient according to the dirty score, wherein the expression of the confidence coefficient is as follows:
the confidence coefficient is (first set score + second set score + third set score) boolean value with mathematical operation error-dirty score)/(first set score + second set score + third set score) boolean value with mathematical operation error 100%.
In the embodiment of the invention, when the mathematical operation is identified to occur in the energy consumption calculation formula, the Boolean value with the mathematical operation error is 1, and when the mathematical operation is not identified to occur in the energy consumption calculation formula, the Boolean value with the mathematical operation error is 0.
As a specific implementation manner of the embodiment of the present invention, the determining, according to the confidence coefficient, the energy consumption calculation result quality evaluation result of the energy consumption calculation formula specifically includes:
comparing the confidence coefficient with a preset confidence coefficient threshold, and judging that the quality of the energy consumption calculation result of the energy consumption calculation formula is reliable when the confidence coefficient is greater than or equal to the confidence coefficient threshold; and when the confidence coefficient is smaller than the threshold value of the confidence coefficient, judging that the quality of the energy consumption calculation result of the energy consumption calculation formula is unreliable.
The value range of the confidence coefficient is 0-100%, and optionally, the larger the value of the confidence coefficient is, the more reliable the quality of the energy consumption calculation result is.
The embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, all meter data and mathematical operation in the energy consumption calculation formula are identified, corresponding evaluation values are calculated for the data interruption meter, the meter with the energy consumption value of 0 and the meter with the error mathematical operation in the energy consumption calculation formula, so that the confidence coefficient of the energy consumption calculation formula is calculated, and the quality evaluation of the energy consumption calculation result is realized, so that the technical problems that the energy consumption calculation result is unreliable and the energy consumption calculation result cannot be accurately evaluated due to the fact that a fault meter exists in the actual calculation in the existing regional energy consumption calculation method are solved.
A third embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, and when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the method for evaluating the quality of the energy consumption calculation result as described above.
The foregoing is a preferred embodiment of the present invention, and it should be noted that it would be apparent to those skilled in the art that various modifications and enhancements can be made without departing from the principles of the invention, and such modifications and enhancements are also considered to be within the scope of the invention.
Claims (10)
1. A method for evaluating the quality of energy consumption calculation results is characterized by comprising the following steps:
identifying all meter data and mathematical operation in the target area energy consumption calculation formula, and setting a first set score, a second set score and a third set score according to the actual production requirement of the target area;
when a first meter timer with data interruption exists in the energy consumption calculation formula, outputting an energy consumption value of the first meter timer as a set value, and outputting a first evaluation value; the first evaluation value is a product of the first set score and the first meter number; wherein the set value is a non-zero value;
when a second meter with the energy consumption value of 0 exists in the energy consumption calculation formula, outputting the energy consumption value of the second meter as the set value, and outputting a second evaluation value; the second evaluation value is a product of the second set score and the second meter number;
when a third meter with mathematical operation error exists in the energy consumption calculation formula, outputting a mathematical operation result of the third meter as the set value, and outputting a third evaluation value; the third evaluation value is the product of the third set fraction and the total number of meters in the energy consumption calculation formula;
and calculating a confidence coefficient of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and judging an energy consumption calculation result quality evaluation result of the energy consumption calculation formula according to the confidence coefficient.
2. The energy consumption calculation result quality assessment method according to claim 1, wherein the identifying all meter data and mathematical operations in the energy consumption calculation formula comprises:
and capturing the calculation exception thrown out from the energy consumption calculation formula through software codes, and identifying the wrong mathematical operation in the energy consumption calculation formula.
3. The method for evaluating the quality of the energy consumption calculation result according to claim 1, wherein the calculating the confidence coefficient of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of meters comprises:
and calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total meter number, and calculating the confidence coefficient according to the dirty score.
4. The method for evaluating the quality of the energy consumption calculation result according to claim 1, wherein a dirty score of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of meters, and the confidence coefficient is calculated according to the dirty score, specifically:
calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, wherein the dirty score has an expression:
a dirty score (first evaluation value + second evaluation value + third evaluation value) is a boolean value in which a mathematical operation error occurs/total number of meters;
calculating the confidence coefficient according to the dirty score, wherein the expression of the confidence coefficient is as follows:
the confidence coefficient is (first set score + second set score + third set score) boolean value with mathematical operation error-dirty score)/(first set score + second set score + third set score) boolean value with mathematical operation error 100%.
5. The method for evaluating the quality of the energy consumption calculation result according to claim 1, wherein the step of judging the quality evaluation result of the energy consumption calculation formula according to the confidence coefficient comprises the following steps:
comparing the confidence coefficient with a preset confidence coefficient threshold, and judging that the quality of the energy consumption calculation result of the energy consumption calculation formula is reliable when the confidence coefficient is greater than or equal to the confidence coefficient threshold; and when the confidence coefficient is smaller than a confidence coefficient threshold value, judging that the quality of the energy consumption calculation result of the energy consumption calculation formula is unreliable.
6. The energy consumption calculation result quality evaluation device is characterized by comprising an identification module, a first output module, a second output module, a third output module and a judgment module;
the identification module is used for identifying all meter data and mathematical operation in the target area energy consumption calculation formula;
the first output module is used for outputting the energy consumption value of the first meter as a set value and outputting a first evaluation value when the first meter of the interruption data exists in the energy consumption calculation formula; the first evaluation value is a product of the first set score and the first meter number; wherein the set value is a non-zero value;
the second output module is used for outputting the energy consumption value of the second meter to be the set value and outputting a second evaluation value when the second meter with the energy consumption value of 0 is present in the energy consumption calculation formula; the second evaluation value is a product of the second set score and the second meter number;
the third output module is used for outputting a mathematical operation result of the third meter as the set value and outputting a third evaluation value when the third meter with the mathematical operation error exists in the energy consumption calculation formula; the third evaluation value is the product of the third set fraction and the total number of meters in the energy consumption calculation formula;
the judging module is used for calculating a confidence coefficient of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, and judging an energy consumption calculation result quality evaluation result of the energy consumption calculation formula according to the confidence coefficient.
7. The energy consumption calculation result quality assessment apparatus according to claim 6, wherein said identification module comprises:
and capturing the calculation exception thrown out from the energy consumption calculation formula through software codes, and identifying the wrong mathematical operation in the energy consumption calculation formula.
8. The apparatus for evaluating the quality of energy consumption calculation result according to claim 6, wherein the confidence coefficient of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of meters, specifically:
and calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total meter number, and calculating the confidence coefficient according to the dirty score.
9. The apparatus for evaluating the quality of energy consumption calculation result according to claim 6, wherein a dirty score of the energy consumption calculation formula is calculated according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of meters, and the confidence coefficient is calculated according to the dirty score, specifically:
calculating a dirty score of the energy consumption calculation formula according to the first evaluation value, the second evaluation value, the third evaluation value and the total number of the meters, wherein the dirty score has an expression:
a dirty score (first evaluation value + second evaluation value + third evaluation value) is a boolean value in which a mathematical operation error occurs/total number of meters;
calculating the confidence coefficient according to the dirty score, wherein the expression of the confidence coefficient is as follows:
the confidence coefficient is (first set score + second set score + third set score) boolean value with mathematical operation error-dirty score)/(first set score + second set score + third set score) boolean value with mathematical operation error 100%.
10. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program runs, the computer-readable storage medium controls a device to execute the energy consumption calculation result quality assessment method according to any one of claims 1 to 5.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090281677A1 (en) * | 2008-05-12 | 2009-11-12 | Energy And Power Solutions, Inc. | Systems and methods for assessing and optimizing energy use and environmental impact |
| CN105930952A (en) * | 2016-04-07 | 2016-09-07 | 国网浙江东阳市供电公司 | Energy consumption analysis and evaluation system for power distribution equipment |
| US20170060159A1 (en) * | 2015-08-26 | 2017-03-02 | International Business Machines Corporation | Energy consumption assessment |
| CN107358334A (en) * | 2017-05-25 | 2017-11-17 | 全球能源互联网研究院 | Data accuracy decision method, device, terminal and computer-readable recording medium |
| CN108932217A (en) * | 2017-05-27 | 2018-12-04 | 深圳市中电电力技术股份有限公司 | The method and device of energy consumption statistic |
| CN109709912A (en) * | 2018-12-20 | 2019-05-03 | 广西程天电子科技有限公司 | Energy management control method and system based on Internet of Things |
| CN110375787A (en) * | 2019-07-25 | 2019-10-25 | 重庆市计量质量检测研究院 | A kind of measuring instrument operating status on-line evaluation method |
-
2020
- 2020-05-25 CN CN202010449939.1A patent/CN111784105B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090281677A1 (en) * | 2008-05-12 | 2009-11-12 | Energy And Power Solutions, Inc. | Systems and methods for assessing and optimizing energy use and environmental impact |
| US20170060159A1 (en) * | 2015-08-26 | 2017-03-02 | International Business Machines Corporation | Energy consumption assessment |
| CN105930952A (en) * | 2016-04-07 | 2016-09-07 | 国网浙江东阳市供电公司 | Energy consumption analysis and evaluation system for power distribution equipment |
| CN107358334A (en) * | 2017-05-25 | 2017-11-17 | 全球能源互联网研究院 | Data accuracy decision method, device, terminal and computer-readable recording medium |
| CN108932217A (en) * | 2017-05-27 | 2018-12-04 | 深圳市中电电力技术股份有限公司 | The method and device of energy consumption statistic |
| CN109709912A (en) * | 2018-12-20 | 2019-05-03 | 广西程天电子科技有限公司 | Energy management control method and system based on Internet of Things |
| CN110375787A (en) * | 2019-07-25 | 2019-10-25 | 重庆市计量质量检测研究院 | A kind of measuring instrument operating status on-line evaluation method |
Non-Patent Citations (2)
| Title |
|---|
| 刘亚东等: "造纸企业蒸汽能耗需求预测模型的研究及建立", 造纸科学与技术, no. 02, pages 83 - 87 * |
| 胡小梅等: "高能耗企业能效综合评估系统设计研究", 计算机工程与设计, no. 17, pages 4081 - 4084 * |
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