CN115203291A - Data processing method, device and storage medium - Google Patents

Data processing method, device and storage medium Download PDF

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CN115203291A
CN115203291A CN202210896562.3A CN202210896562A CN115203291A CN 115203291 A CN115203291 A CN 115203291A CN 202210896562 A CN202210896562 A CN 202210896562A CN 115203291 A CN115203291 A CN 115203291A
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reading
current electronic
correction
database
last correct
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杨阳
李满
李嵘
许汉军
蔡丽
赵立伦
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WUHAN SAN FRAN ELECTRONICS CORP
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WUHAN SAN FRAN ELECTRONICS CORP
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Abstract

The application provides a data processing method, a data processing device and a storage medium, which are applied to correction of meter misread, and the method comprises the following steps: obtaining a current electronic reading of the meter; comparing the current electronic reading with the last correct reading in the database; if the current electronic reading is smaller than the last correct reading in the database, executing a first correction step; in the first correction step, if the difference value between the current electronic reading and the last correct reading in the database is judged to be not larger than the preset difference value, executing a second correction step; and if the difference value between the current electronic reading and the last correct reading in the database is larger than the preset difference value, executing a third correction step. According to the method, different correction modes are adopted according to different reading conditions, correction accuracy is guaranteed, the problem that analysis on the meter metering data in the later period is extremely inconvenient is avoided, and the problem that time, labor and material costs are wasted is solved.

Description

Data processing method, device and storage medium
Technical Field
The present application relates to the field of data processing, and in particular, to a data processing method, apparatus, and storage medium.
Background
The instrument is an instrument for displaying numerical values, and comprises a pressure instrument, a flow meter, various analytical instruments and the like. And meters for measuring flow rate include water meters, gas meters, and the like. The instrument displays the measured value by matching the moving element with the code of the mechanical part.
In order to facilitate the collection, storage and statistics of the reading of the meter, the collection and transmission module is arranged on the meter to automatically complete the collection, processing and storage of the metering data of the meter, and the traditional manual meter reading and data recording mode is replaced. The existing remote water meter and remote gas meter adopt the principle.
In the prior art, some situations of inaccurate reading inevitably occur when electromechanical conversion is carried out. Taking a remote water meter as an example, due to the problems of water quality, bubbles or mechanical character wheel angles and the like, misreading conditions inevitably occur, and the abnormal data bring many interference factors to water analysis work. When a system maintenance person finds that the electromechanical readings of the meters are inconsistent, the abnormal data is usually eliminated, and the electromechanical conversion part (meter head) of the water meter is replaced, and some wet water meters even need to stop water to replace the meter head.
In such a processing method, the operation of replacing parts increases much time, labor, and material costs. Moreover, it is very inconvenient to analyze the measurement data of the meter at a later stage.
Disclosure of Invention
The embodiment of the application aims at providing a data processing method, a data processing device and a storage medium, which are applied to correction of meter misread. According to the method, the obtained comparison result of the current electronic reading and the last correct reading in the database is used for accurately correcting the misread number by adopting a corresponding reading correction method, so that the problem that the analysis of the meter metering data is inconvenient in the later period caused by data loss is solved. Meanwhile, the problem that time, labor and material cost are wasted due to the fact that instrument parts need to be replaced when reading errors occur is solved.
In a first aspect, an embodiment of the present application provides a data processing method, which is applied to correction of a meter misread, and the method includes: obtaining a current electronic reading of the meter; comparing the current electronic reading with the last correct reading in the database; if the current electronic reading is smaller than the last correct reading in the database, executing a first correction step; in the first correction step, if the difference value between the current electronic reading and the last correct reading in the database is judged to be not larger than a preset difference value, a second correction step is executed; and if the difference value between the current electronic reading and the last correct reading in the database is larger than the preset difference value, executing a third correction step.
According to the data processing method, when the current reading of the instrument is obtained, the current reading is compared with the last correct reading in the database, and if the current reading is smaller than the last correct reading, the fact that the current reading is wrong and needs to be corrected is indicated. During correction, according to whether the difference value between the current reading and the last correct reading exceeds a preset difference value or not, a corresponding second correction step or a third correction step is executed respectively, correction accuracy is guaranteed, and the problem that analysis on the meter metering data in the later period is inconvenient due to data loss is solved.
With reference to the first aspect, optionally, wherein the preset difference value is determined according to a nominal flow rate of the meter.
In the data processing method, when the meter is not provided with the check valve, the reverse flow of water, gas and the like occasionally occurs due to the change of the pressure of the pipeline, so that the meter is reversed. And the preset difference value is determined by the nominal flow of the meter and the time difference between the current electronic reading and the last correct reading. If the difference between the current electronic reading and the last correct reading is within the preset difference range, the current electronic reading is represented as being caused by the inversion of the meter. Furthermore, the data correction is carried out in a targeted manner by determining the cause of the misreading, so that the correction accuracy is further ensured.
With reference to the first aspect, optionally, wherein the second correcting step includes: determining that the current electronic reading is a reversed reading resulting from a reversal of the meter, and not storing the current electronic reading.
The data processing method determines that the current electromechanical reading of the water meter is consistent when it is determined that the current electronic reading is incorrect due to the meter reversing. However, by discarding the current electronic reading, readability of the meter history data stored in the database is maintained, and convenience is also improved when analyzing the meter's metering data at a later time.
With reference to the first aspect, optionally, the third correcting step includes: judging whether the last correct reading has a marked corrected weight digit or not; if yes, executing a fourth correction step; if not, executing a fifth correction step; wherein the fourth correcting step includes: replacing the number on the weight digit corresponding to the current electronic reading by the number of the corrected weight digit to obtain a replacement corrected reading; comparing the replacement corrected reading with the last correct reading in the database; if the replacement correction reading is smaller than the last correct reading in the database, judging whether the difference between the replacement correction reading and the last correct reading is smaller than the preset difference; if yes, determining that the replacement correction reading is an inversion reading caused by the inversion of the meter, and if not, executing the fifth correction step; if the replacement correction reading is not smaller than the last correct reading in the database, judging whether the difference value between the replacement correction reading and the last correct reading is smaller than the preset difference value; if yes, the replacement correction reading is used as the reading after the current electronic reading is corrected, corrected weight digits are marked, and the corrected weight digits are stored in the database; if not, executing the fifth correction step.
According to the data processing method, when the third correction step is executed to correct the data, whether the correct reading at the last time is corrected or not can be obtained by judging whether the marked corrected weight digit exists in the correct reading at the last time, if yes, the digit of the corrected weight digit of the correct reading at the last time is directly used for replacing the digit of the weight digit corresponding to the current electronic reading, and therefore the replacement corrected reading is obtained. And then, the replacement correction reading is checked, and whether the replacement correction reading is correct or not is judged by comparing the size of the last correct reading with the difference of the two readings with a preset difference. The data passing the verification is stored in the database as correct reading after correction, and the corrected weight digit is marked for use in next data correction. Therefore, the correction mode of directly replacing the digits on the digits with the same weight is simple and quick, and the data processing efficiency is improved. Meanwhile, before the replacement correction reading is taken as the corrected correct reading, whether the replacement correction reading is correct or not is checked, and the accuracy of data processing is ensured.
With reference to the first aspect, optionally, the fifth modification step includes: calculating the reading which possibly appears between the last correct reading and the current electronic reading at two moments, and using the reading as a pending current electronic reading set; matching the number on each weight digit of each pending current electronic reading with the number on the same weight digit of the current electronic reading to obtain the matching degree of each pending current electronic reading and the current electronic reading; and taking the undetermined current electronic reading with the highest matching degree as a matching correction reading of the current electronic reading, marking corrected weight digits, and storing the corrected weight digits into the database.
According to the data processing method, when the current electronic reading to be corrected meets the condition of the fifth correction step, all the possible readings in the time period can be determined according to the time length from the last correct reading to the current electronic reading because the readings of the meters are all discrete numbers. And the correct reading of the current electronic reading must exist among these readings. Furthermore, the misreading of the current electronic reading is based on the correct reading, and part of the weight digits do not conform to the misreading formed. Thus, the current electronic reading matches the correct reading more closely than the last correct reading. Otherwise, the possibly occurring readings are matched with the current electronic readings one by one, and the highest matching degree is the correct reading naturally. Thus, the accuracy of the reading correction is ensured.
With reference to the first aspect, optionally, the calculating a reading that may occur between two time instants of the last correct reading and the current electronic reading as a pending current electronic reading set includes: calculating the maximum theoretical value of the current moment according to the nominal flow of the instrument and the time length between the two moments; all readings between the maximum theoretical value and the last correct reading are taken as a pending current set of electronic readings.
According to the data processing method, the maximum theoretical value of the current moment is determined through the nominal flow of the meter, all possible readings between the last correct reading and the maximum theoretical value are used as the reading set, the reading with the highest matching degree and possibly occurring is used as the correct reading, and the accuracy of reading correction is further ensured.
With reference to the first aspect, optionally, the taking the pending current electronic reading with the highest matching degree as a first corrected reading of the current electronic reading and marking a corrected weight digit includes: and if two or more than two undetermined current electronic readings with the highest matching degree exist, acquiring an instrument change value set in the same time period within a preset period, solving a tail-cutting average value, and selecting one closest to the sum of the last correct reading and the tail-cutting average value as the matching correction reading.
According to the data processing method, when two or more undetermined current electronic readings with the highest matching degree appear, instrument change values in the same time period within the preset time limit are obtained and used as a change value set, the cut-to-tail mean value of the change values is obtained, and one closest to the sum of the last correct reading and the cut-to-tail mean value is selected and used as the corrected correct reading, so that the correction step can still accurately correct the current electronic reading needing to be corrected according to the special condition.
With reference to the first aspect, optionally, if the current electronic reading is not less than the last correct reading in the database; judging whether the difference between the current electronic reading and the last correct reading in the database is larger than a preset difference or not; if yes, executing the first correction step.
According to the data processing method, when the current electronic reading is not smaller than the last correct reading, whether the current electronic reading needs to be corrected or not is determined by further judging whether the difference value between the current electronic reading and the last correct reading exceeds the preset difference value or not, and the accuracy of correcting the reading of the instrument is further ensured.
In a second aspect, an embodiment of the present application further provides a data processing apparatus, which is applied to correcting a misread number of an instrument; the device comprises: an acquisition module for acquiring a current electronic reading of the meter; the comparison module is used for comparing the current electronic reading with the last correct reading in the database; the first execution module is used for executing a first correction step when the current electronic reading is smaller than the last correct reading in the database; in the first correction step, if the difference value between the current electronic reading and the last correct reading in the database is judged to be not larger than a preset difference value, a second correction step is executed; and if the difference value between the current electronic reading and the last correct reading in the database is smaller than a preset difference value, executing a third correction step.
In the foregoing embodiment, the provided data processing apparatus has the same beneficial effects as those of the first aspect or the data processing method provided in any optional implementation manner of the first aspect, and details are not described here.
In a third aspect, the present application also provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the above-described method.
In the foregoing embodiment, the provided computer-readable storage medium has the same beneficial effects as those of the first aspect or the data processing method provided in any optional implementation manner of the first aspect, which is not described herein again.
In summary, according to the data processing method, the data processing device and the storage medium provided by the application, different correction modes are respectively adopted according to the magnitude relation between the current electronic reading and the last correct reading and the magnitude relation between the difference value between the current electronic reading and the last correct reading and the preset difference value, so that the correction accuracy is ensured, and the problem that the later analysis on the meter metering data is inconvenient due to data loss is further avoided. Meanwhile, the problem that time, labor and material cost are wasted due to the fact that instrument parts need to be replaced when reading errors occur is solved. In a specific correction mode, all possible readings between the current time and the last correct reading are obtained through the nominal flow of the meter, and the reading with the highest matching degree is selected as the corrected correct reading, so that the correction accuracy is ensured. Meanwhile, the judgment shows that the data processing efficiency can be further improved by simply using the corresponding replacement mode of the number of the marked weight digit of the last correct reading. The method also marks the corrected weight digit of each corrected correct reading for use in the next reading correction.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
FIG. 1 is a graph comparing prior art electromechanical readings provided herein;
fig. 2 is a flowchart of a data processing method according to an embodiment of the present application;
FIG. 3 is a detailed flowchart of a third modification step provided in the embodiments of the present application;
FIG. 4 is a detailed flowchart of a fourth modification step provided in the embodiments of the present application;
FIG. 5 is a detailed flowchart of a fifth modification step provided in the embodiments of the present application;
fig. 6 is a flowchart of a water meter misread number correction method according to an embodiment of the present application;
fig. 7 is a schematic functional block diagram of a data processing apparatus according to an embodiment of the present application.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are merely used to more clearly illustrate the technical solutions of the present application, and therefore are only examples, and the protection scope of the present application is not limited thereby.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
In the description of the embodiments of the present application, the technical terms "first", "second", and the like are used only for distinguishing different objects, and are not to be construed as indicating or implying relative importance or implicitly indicating the number, specific order, or primary-secondary relationship of the technical features indicated. In the description of the embodiments of the present application, "a plurality" means two or more unless specifically defined otherwise.
In the prior art, when a maintenance person finds that electromechanical readings of the meter are inconsistent, the abnormal data are usually processed in a mode of removing the abnormal data, and an electromechanical conversion part (meter head) of the water meter is replaced, and some wet water meters even need to stop water to replace the meter head. Such a processing method causes problems of time, labor, material cost waste caused by replacement of parts of the meter, and inconvenience in analyzing data of the meter at a later stage.
For this reason, the applicant takes a water meter as an example, and counts the electromechanical readings of the water meter in the prior art. Referring to fig. 1, fig. 1 is a graph comparing electromechanical readings in the prior art provided by the present application. Wherein, the water consumption of the system refers to the electronic reading of the water meter, and the actual water consumption refers to the mechanical reading of the water meter. As can be seen from the figure, applicants lack an electronic reading in the time period of 11. In response to the problem, the applicant found that, due to the lack of a method for correcting the electronic reading of the meter, when an electromechanical reading error occurs, parts of the meter need to be replaced and abnormal data needs to be removed, so that the labor, time and material costs are increased, and the data is lacked in the later analysis of the meter data. Therefore, the present application provides a data processing method, an apparatus and a storage medium to solve the problems in the prior art.
To facilitate an understanding of the embodiments provided herein, first, and again taking a water meter as an example, a set of electrical and mechanical readings from the water meter are provided, as shown in table 1. As can be seen from Table 1, the behaviors of the serial numbers 3-9 are abnormal data with inconsistent electromechanical readings, and the rest are normal data with consistent electromechanical readings.
TABLE 1
Figure BDA0003769299750000081
Figure BDA0003769299750000091
Based on the above problem of lack of correction means for meter reading in the prior art, the present application provides a data processing method, device and storage medium to solve the above technical problems. Specifically, please refer to the examples and drawings provided in the present application.
Referring to fig. 2, fig. 2 is a flowchart of a data processing method according to an embodiment of the present disclosure. The specific process shown in fig. 2 will be described in detail below.
Step S220: a current electronic reading of the meter is obtained.
In the step S220, a collecting and transmitting module may be installed on the meter, and mechanical readings of the meter are converted into electronic readings through electromechanical conversion.
After step S220, step S240 is performed: the current electronic reading is compared to the last correct reading in the database.
In step S240, by accessing the database, the last correct reading before the current electronic reading can be retrieved from the database, and the last correct reading is derived from the reading corrected or confirmed by the data processing method provided in the present application. It will be appreciated that the last time modified by the data processing method provided herein, the correct reading that precedes the last correct reading is utilized, and so on. A preparation is required before implementing the data processing method provided in the present application. The content is as follows: comparing the obtained electronic readings of the first or the first meters with the mechanical readings of the meters in a manual reading and checking mode, and directly storing the electronic readings and the mechanical readings into a database if the electronic readings are consistent; and if the electromechanical readings are inconsistent, manually correcting, marking corrected weight digits, and storing the corrected weight digits into a database.
In step S240, if the current electronic reading is smaller than the last correct reading in the database, a first correction step is performed.
Wherein the first correcting step comprises:
step S260: judging whether the difference value between the current electronic reading and the last correct reading in the database is not greater than a preset difference value or not; if not, executing a second correction step; if yes, executing the third correction step.
In step S260, if it is determined that the difference between the previous electronic reading and the last correct reading in the database is not greater than the preset difference, which indicates that the difference between the current electronic reading and the last correct reading is within the preset difference, a second correction step is performed; and if the difference between the electronic reading before judgment and the last correct reading in the database is larger than the preset difference, which indicates that the difference between the current electronic reading and the last correct reading is not within the range of the preset difference, executing a third correction step.
In the implementation process, when the current reading of the instrument is acquired, the current reading is compared with the last correct reading in the database, and if the current reading is smaller than the last correct reading, the current reading is mistakenly corrected. During correction, according to whether the difference value between the current reading and the last correct reading exceeds a preset difference value or not, the corresponding second correction step or third correction step is executed respectively, so that the correction accuracy is guaranteed, and the problem that analysis on the meter metering data is inconvenient in the later period caused by data loss is avoided. Meanwhile, the problem of waste of time, labor and material cost caused by the need of replacing instrument parts when reading errors occur is solved.
In a possible embodiment, the preset difference value in step S260 is determined according to the nominal flow rate of the meter.
Specifically, the time difference between the current electronic reading and the last correct reading is determined according to the acquisition time of the current electronic reading and the acquisition time of the last correct reading, and the preset difference value is obtained according to the product of the time difference and the nominal flow of the meter.
In the implementation process, when the meter is not provided with the check valve, the reverse flow of water, gas and the like occasionally occurs due to the change of the pressure of the pipeline, so that the meter is reversed. And the preset difference value is determined by the nominal flow of the meter and the time difference between the current electronic reading and the last correct reading. If the difference between the current electronic reading and the last correct reading is within the preset difference range, the current electronic reading is represented as being caused by the inversion of the meter. Furthermore, the data correction is carried out in a targeted manner by determining the cause of misreading, so that the correction accuracy is further ensured.
Referring to fig. 3, fig. 3 is a detailed flowchart of a third modification step provided in an embodiment of the present application, where the second modification step in step S260 includes:
step S261: the current electronic reading is determined to be a reversed reading resulting from a reversal of the meter and is not stored.
In step S261, when it is determined that the current electronic reading is incorrect due to the meter reversing, then the current electromechanical reading of the water meter is consistent. But the current electronic reading is not stored since the reading is not of sufficient material significance for the measurement of the flow actually used by the user. Of course, those skilled in the art can also store the inverted reading according to actual requirements. However, in order to avoid the interference that the data may cause to the data processing method provided by the embodiment of the present application, a specific identifier may be added when storing the roll-over reading.
In the implementation process, the readability of the historical data of the instrument stored in the database is kept by discarding the current electronic reading, and the convenience in analyzing the metering data of the instrument at the later stage is also improved.
In an embodiment, please refer to fig. 3, fig. 3 is a detailed flowchart of a third modification step provided in the embodiment of the present application, and the third modification step in the step S260 includes:
step S262: it is determined whether the last correct reading has a marked corrected weight digit.
If yes, executing a fourth correction step; if not, executing a fifth correction step;
in step S262, whether the last correct reading is marked with the corrected weight digits is derived from the information associated with the last correction confirmed or stored in the database.
In an embodiment, please refer to fig. 4, fig. 4 is a detailed flowchart of a fourth modification step provided in the embodiment of the present application, and the fourth modification step in the step S262 includes:
step S2621: and replacing the number on the weight digit corresponding to the current electronic reading by the number of the corrected weight digit to obtain a replacement corrected reading.
In step S2621, since the last correct reading has the marked corrected weight digits, the number of the corrected weight digits of the last correct reading is directly substituted for the number of the corresponding weight digits of the current electronic reading.
Illustratively, taking the data of numbers 3 and 4 in table 1 above as an example, in number 3, the electronic reading of the water meter is "10024", and the mechanical reading of the water meter is also the correct reading, which is "10924". Then "10024" should be corrected to "10924" and when the correction is complete, "10924" is taken as the last correct reading and the corrected weight bits are marked: the correct reading "10924" differs from the abnormal reading "10024" in that the hundreds digits thereof are "9" one and "0" one. The corrected hundreds digit "9" of the correct reading "10924" is marked as the corrected weight digit and stored in the database. In the serial number 4, when the electronic reading is "10025", it is judged to be abnormal data by the previous step and to be in accordance with the correction manner in step S2621, it is known from the database that the last correct reading is "10924" and has been corrected, and the marked corrected weight digit is the digit "9" of the hundred digits. Therefore, the hundreds digit "9" is replaced with the hundreds digit in the electronic reading "10025" in the serial number 4, and the corrected replacement corrected reading "10925" is obtained.
Step S2622: the replacement corrected reading is compared to the last correct reading in the database.
If the replacement corrected reading is smaller than the last correct reading in the database, step S2623 is executed: and judging whether the difference value between the replacement correction reading and the last correct reading is smaller than a preset difference value.
If yes, go to step S2624: the replacement corrected reading is determined to be an inverted reading resulting from the instrument being inverted.
In step S2624, the replacement corrected reading obtained by the correction in S2621 is a reversed reading resulting from the reversal of the meter, which again has insufficient material meaning for the measurement of the flow rate actually used by the user, and therefore is not stored.
If not, executing a fifth correction step.
If the replacement corrected reading is not less than the last correct reading in the database, then step S2625 is performed: and judging whether the difference value between the replacement correction reading and the last correct reading is smaller than a preset difference value.
If yes, go to step S2626: and taking the replacement correction reading as the reading after the current electronic reading is corrected, marking the corrected weight digit, and storing the corrected weight digit into a database.
If not, executing a fifth correction step.
In the above steps S2622 to S2626, the steps are substantially the same as the above steps S240 to S261, and are not described herein again.
In the implementation process, when the third correction step is executed to correct the data, whether the correct reading is corrected for the last time can be obtained by judging whether the correct reading has the marked corrected weight digit, and if so, the digit of the corrected weight digit of the correct reading for the last time is directly used for replacing the digit of the weight digit corresponding to the current electronic reading, so that the replacement correction reading is obtained. And then, the replacement correction reading is checked, whether the replacement correction reading is correct or not is judged by comparing the size of the last correct reading with the difference value of the two correct readings with a preset difference value. The data passing the verification is stored in the database as correct reading after correction, and the corrected weight digit is marked for use in next data correction. Therefore, the correction mode of directly replacing the digits on the digits with the same weight is simple and quick, and the data processing efficiency is improved. Meanwhile, before the replacement correction reading is used as the corrected correct reading, whether the replacement correction reading is correct or not is checked, and the accuracy of data processing is ensured.
In an embodiment, please refer to fig. 5, fig. 5 is a detailed flowchart of a fifth modification step provided in the embodiment of the present application, in which the fifth modification step includes:
step S2627: and calculating the reading which possibly appears between the last correct reading and the current electronic reading at two moments to serve as the pending current electronic reading set.
In step S2627, since the readings of the meter are discrete numbers, all the possible readings in the time period can be determined according to the time length from the last correct reading to the current electronic reading.
Illustratively, the caliber of the water meter is 32mm, the data uploaded by the water meter is received at 2022-3-20, the current electronic reading is 10024, the last correct reading is 10921, the theoretical maximum reading 10931 can be calculated according to the time length (1 hour) of the two readings and the nominal flow (10 tons/hour), and all the readings from the last credible data to the theoretical maximum reading interval are taken as a pending current electronic reading set, which is specifically shown in table 2.
TABLE 2
Serial number Pending current electronic reading Current electronic reading Degree of matching
1 10921 10024 3
2 10922 10024 3
3 10923 10024 3
4 10924 10024 4
5 10925 10024 3
6 10926 10024 3
7 10927 10024 3
8 10928 10024 3
9 10929 10024 3
10 10930 10024 2
11 10931 10024 2
Step S2628: and matching the number on each weight digit of each pending current electronic reading with the number on the same weight digit of the current electronic reading to obtain the matching degree of each pending current electronic reading and the current electronic reading.
In the step S2628, each pending current electronic reading is compared with the current electronic reading, and whether the numbers on the same weighting digit are the same is determined. In the comparison process, if the two numbers have the same number on only one weight digit, the matching degree is "1"; if the two have the same number on two weight digits, the matching degree is '2'; if the numbers of the two electronic readings are the same, the matching degree is 3, 8230, and so on, the matching degree of each undetermined current electronic reading and the current electronic reading is obtained. For the relationship between each current electronic reading to be determined and the matching degree, please refer to table 2.
Step S2629: and taking the undetermined current electronic reading with the highest matching degree as the matching correction reading of the current electronic reading, marking the corrected weight digit, and storing the corrected weight digit in a database.
Illustratively, as shown in table 2, the data with the highest matching degree is "10924" with the matching degree of "4" in the sequence number 4. Thus, "10924" is stored in the database as a match correction reading and marked with the corrected weight digits.
In the implementation process, when the current electronic reading to be corrected meets the condition of the fifth correction step, since the readings of the meters are all discrete numbers, all the possible readings in the time period can be determined according to the time length from the last correct reading to the current electronic reading, and the correct reading of the current electronic reading must exist in the readings. Furthermore, the current electronic reading is misread on the basis of the correct reading, and part of the weight digits do not conform to the formed misread. Thus, the current electronic reading matches the correct reading more closely than the last correct reading. Therefore, the possible readings are matched with the current electronic readings one by one, and the highest matching degree is the correct reading naturally.
In one embodiment, the step S2627 includes:
step S2627a: and calculating the maximum theoretical value of the current moment according to the nominal flow of the instrument and the time length between the two moments.
In step S2627a, specifically, a time length between the current electronic reading and the last correct reading is determined according to the collection time of the current electronic reading and the collection time of the last correct reading, the maximum theoretical variation value of the meter reading in the time period is determined according to the product of the nominal flow rate of the meter and the time length, and the sum of the last correct reading and the maximum theoretical variation value is finally obtained to obtain the maximum theoretical value of the current time.
Step S2627b: all readings between the maximum theoretical value and the last correct reading are taken as the pending current set of electronic readings.
In step S2627b, since the meter is operating, the instantaneous flow rate of the gas, liquid, or the like flowing through the meter does not exceed the nominal flow rate of the meter at all times. Therefore, all the readings between the maximum theoretical value obtained in step S2627a and the last correct reading are theoretically possible to be the correct reading at the current time.
In the implementation process, the maximum theoretical value at the current moment is determined through the nominal flow of the meter, all possible readings between the last correct reading and the maximum theoretical value are used as a reading set, the reading with the highest matching degree and possibly occurring is used as the correct reading, and the accuracy of reading correction is further ensured.
In one embodiment, the fifth modification step further includes:
if there are two or more pending current electronic readings with the highest matching degree, step S2630 is performed: and acquiring the instrument change value set in the same time period within a preset time limit to obtain a cut-to-tail mean value, and selecting one closest to the sum of the last correct reading and the cut-to-tail mean value as a matching correction reading.
In the step S2630, for example, taking the data with the serial numbers 2 and 3 in the table 1 as an example, the current reading is acquired at the time "2022-3-20 00" in the serial number 3, the last correct reading is acquired at the time "2022-3-20" in the serial number 2, the preset time limit may be the last 7 weeks, and 2022-3-20 is a weekday, the change value of the meter reading of each weekday "11 00-12" in the last 7 weeks, that is, the water consumption is acquired as the meter change value set. And removing the maximum value and the minimum value in the change value set, then calculating an average value, and finally selecting one of the most approximate last correct reading and the cut-off average value as a matching correction reading.
Specifically, in order to fully explain the data processing method adopted when two or more pending current electronic readings with the highest matching degree appear in the embodiment of the present application, the current electronic reading is taken as "10984" again as an example for explanation. And the caliber of the water meter is 40mm, the nominal flow rate (16 tons/hour), and the undetermined current electronic reading set obtained by the method is shown in the table 3.
TABLE 3
Figure BDA0003769299750000161
Figure BDA0003769299750000171
As can be seen in table 4, the highest degree of match is "4", and the pending current electronic reading with a degree of match of 4 is two data, "10924" and "10934". At this time, the acquisition time of acquiring the current electronic reading is "2022-3-20-00", the time of acquiring the latest correct reading is "2022-3-20-00", and 2022-3-20 is sunday. Water usage data for all weekdays 11 to 12 in the last 7 weeks were obtained from the water meter historical data as shown in table 4.
TABLE 4
Figure BDA0003769299750000172
Figure BDA0003769299750000181
The mean PGross =2.6 was obtained after removing the maximum and minimum values. Calculation data "10924" water usage of 3 tons over a period of 11 to 12; data "10934" water usage was 13 tons over 11 to 12. Following the method in step S2630, "10924" is taken as the match correction reading, which amounts closer to the average.
In the implementation process, when two or more undetermined current electronic readings with the highest matching degree appear, instrument change values in the same time period within a preset time limit are obtained to serve as a change value set, the tail-cutting mean value of the change values is obtained, and one closest to the sum of the last correct reading and the tail-cutting mean value is selected to serve as the corrected correct reading, so that the correction step can still accurately correct the current electronic reading to be corrected according to the special condition.
In one embodiment, the data processing method further comprises:
if the current electronic reading is not smaller than the last correct reading in the database, step S280 is executed: and judging whether the difference between the current electronic reading and the last correct reading in the database is larger than a preset difference.
If yes, executing the first correction step.
In the step S280, it is determined whether the difference between the previous electronic reading and the last correct reading in the database is greater than the preset difference, so that the current electronic reading is within the range of the theoretical value determined according to the parameters of the meter itself.
In the implementation process, when the current electronic reading is not less than the last correct reading, whether the current electronic reading needs to be corrected or not is determined by further judging whether the difference between the current electronic reading and the last correct reading exceeds a preset difference, and the accuracy of correcting the meter reading is further ensured.
To further understand the data processing method provided in the embodiment of the present application, please refer to fig. 6, which takes a water meter as an example, and fig. 6 is a flowchart of a water meter misread number correction method provided in the embodiment of the present application.
Firstly, recording a water meter file, wherein the water meter file comprises the caliber of the water meter and the number displayed on the current dial. The nominal flow of the meter can be inquired according to the water meter caliber and the corresponding flow meter shown in the table 5 by the water meter caliber information and is used as a calculation parameter of a flow verification model and a water meter reverse flow model; the readings on the current dial plate are manually read and checked, and can be used as first credible data of the dial plate.
TABLE 5
Caliber/mm of water meter Minimum flow/m 3 Overload flow/m 3 Nominal flow/m 3
15 0.03 3.125 2.5
20 0.05 5 4
25 0.07 7.87 6.3
32 12.5 10
40 0.2 20 16
50 0.45 31.25 25
80 0.9 50 40
100 1.5 78.75 63
There are 2 models to determine whether the data is abnormal data.
The 1 st is a flow verification model, when the current reading is larger than the last valid data, the instantaneous flow is obtained by the difference value of the codes of the two readings/the time difference of the two readings, the calculated instantaneous flow is within the nominal flow range of the water meter, the flow verification of the current reading is passed, the data is valid data, otherwise, the data is not passed, and the data is abnormal data;
the 2 nd model is the meter reverse flow model, when the pipeline is not provided with a check valve, the water reverse flow occasionally occurs due to the change of the water pressure of the pipeline, and the meter is reversed. When the current reading is smaller than the last effective reading, the reverse instantaneous flow is obtained through the difference value of the meter codes of the two readings/the time difference of the two readings, the reverse instantaneous flow is within the nominal range of the water meter, the current reading is effective data, but the reverse flow data is not stored in order to keep the readability of the data, and if the data does not accord with a reverse flow model, the current reading is judged to be abnormal data.
And then, the acquisition system receives the latest current electronic reading newValue of the water meter and enters a data processing flow.
Step 1: obtaining the last effective reading LastValue of the water meter, and comparing the newValue reading with the last effective reading LastValue;
step 2: the current reading newValue is more than or equal to the last effective reading Lastvalue, and the flow verification is carried out on the two readings;
and step 3: the flow is checked to be passed, the reading is normal data, the reading is not corrected and marked as a credible reading, and the data is stored;
and 4, step 4: if the flow verification in the step 2 is not passed, judging that the data is abnormal data, and entering a correction process;
and 5: step 1, the current reading newValue in the step 1 is smaller than the last effective reading Lastvalue, the water meter backflow judgment is carried out, if the water meter backflow judgment is judged, the reading is not misread data and does not need to be repaired, and the backflow data does not need to be stored;
step 6: checking whether the last valid data LastValue is credible data;
and 7: lastValue is credible data, and is the last time that the credible data is assigned to LastValue;
and 8: arranging values (the reading of the water meter is an integer) which may appear in two time periods of last credible data LastValueT and current collected data newValue according to the rule of instantaneous flow to obtain an array List1;
and step 9: the number on each digit of newValue is compared with the number on the same digit of the numerical value in the array List1 in sequence, the number on the same digit is the same, and 1 is added to the matching value;
step 10: if the List1 has a data item with a matching value greater than 0, if not, the newValue is determined to be scrambled data and is not required to be repaired;
step 11: if there is a matching data item in step 10, taking the data with the most matching item as valid data, if there are multiple valid data, executing step 19;
step 12: saving valid data Fvalue, marking the valid data as valid data, and recording difference parts and newValue of original data;
step 13: step 6, checking whether the last valid data LastValue is credible data or not, and checking whether the stored difference part of the newValue is the same as that of the last valid data LastValue or not;
step 14: in the step 13, the newValue is the same as the difference part of the last valid data LastValue, and the difference part of the LastValue is used for replacing the same position of the newValue to obtain new repair data FValue;
step 15: comparing the reading size of the Fvalue with the Lastvalue;
step 16: the reading of the Fvalue is smaller than that of the Lastvalue, whether the Fvalue meets the condition of water meter backflow is verified, and if the Fvalue meets the condition of water meter backflow, data does not need to be stored;
and step 17: in step 15, the Fvalue is greater than or equal to the LastValue reading, flow verification is carried out, and if the flow verification is passed, the step 12 is carried out;
step 18: if the corrected FValue is abnormal data, the newValue needs to be corrected again, and the last trusted data LastValueT is obtained, and the step 8 is entered;
step 19: obtaining the usage amount of the same day and the same time period in the last 7 weeks from the historical data of the water meter, and obtaining an average value PGross after removing the maximum value and the minimum value; and taking the item with the highest matching degree closest to Pgross as valid data Fvalue.
Referring to fig. 7, fig. 7 is a functional block diagram of a data processing apparatus 700 according to an embodiment of the present disclosure. The modules in the data processing apparatus 700 in this embodiment are configured to execute the steps in the above embodiments of the transaction dispute processing method. The data processing apparatus 700 comprises an obtaining module 710, a comparing module 720 and a first executing module 730; the obtaining module 710 is configured to obtain a current electronic reading of the meter; the comparison module 720 is used for comparing the current electronic reading with the last correct reading in the database; the first executing module 730 is configured to execute a first correcting step when the current electronic reading is smaller than the last correct reading in the database; in the first correction step, if the difference value between the current electronic reading and the last correct reading in the database is judged to be not larger than the preset difference value, executing a second correction step; and if the difference value between the current electronic reading and the last correct reading in the database is smaller than the preset difference value, executing a third correction step.
In one embodiment, the first executing module 730 is specifically configured to determine that the current electronic reading is an inverted reading caused by inversion of the meter and does not store the current electronic reading if it is determined that the difference between the current electronic reading and the last correct reading in the database is not greater than the preset difference.
In an embodiment, the first executing module 730 is further specifically configured to determine whether the last correct reading has a marked corrected weight digit if it is determined that the difference between the current electronic reading and the last correct reading in the database is greater than a preset difference; if yes, executing a fourth correction step; if not, executing a fifth correction step; wherein the fourth correcting step comprises: replacing the number on the weight digit corresponding to the current electronic reading by the number of the corrected weight digit to obtain a replacement corrected reading; comparing the replacement corrected reading with the last correct reading in the database; if the replacement correction reading is smaller than the last correct reading in the database, judging whether the difference value between the replacement correction reading and the last correct reading is smaller than a preset difference value; if so, determining that the replacement corrected reading is an inverted reading caused by the inversion of the meter, and if not, executing a fifth correction step.
In an embodiment, the first executing module 730 is further specifically configured to, when the fifth correcting step is executed, calculate a reading that may occur between the last correct reading and the current electronic reading at two moments, and use the reading as a pending current electronic reading set; matching the number on each weight digit of each pending current electronic reading with the number on the same weight digit of the current electronic reading to obtain the matching degree of each pending current electronic reading and the current electronic reading; and taking the undetermined current electronic reading with the highest matching degree as the matching correction reading of the current electronic reading, marking the corrected weight digit, and storing the corrected weight digit in a database.
In an embodiment, the first executing module 730 is further specifically configured to calculate a reading that may occur between the last correct reading and the current electronic reading at two times, and when the set of pending current electronic readings is used, calculate a maximum theoretical value at the current time according to the nominal flow of the meter and the time duration between the two times; all readings between the maximum theoretical value and the last correct reading are taken as the pending current set of electronic readings.
In an embodiment, the first executing module 730 is further specifically configured to, when the pending current electronic reading with the highest matching degree is used as a first corrected reading of the current electronic reading and a corrected weight digit is marked, if two or more pending current electronic readings with the highest matching degree exist, obtain a set of instrument variation values within the same time period within a preset time limit to obtain a trimmed mean value, and select one closest to a sum of the last correct reading and the trimmed mean value as the matched corrected reading.
In one embodiment, with continued reference to fig. 7, the data processing apparatus 700 further comprises a second execution module 740; the second executing module 740 is configured to, if the current electronic reading is not less than the last correct reading in the database; judging whether the difference between the current electronic reading and the last correct reading in the database is larger than a preset difference or not; if yes, executing the first correction step.
It should be understood that the apparatus corresponds to the above-mentioned data processing method embodiment, and can perform the steps related to the above-mentioned method embodiment, and the specific functions of the apparatus can be referred to the above description, and the detailed description is appropriately omitted here to avoid redundancy. The device includes at least one software function that can be stored in memory in the form of software or firmware (firmware) or solidified in the Operating System (OS) of the device.
The embodiment of the application also provides a storage medium, wherein the storage medium is stored with a computer program, and the computer program is executed by a processor to execute the method.
The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The above description is only an alternative embodiment of the embodiments of the present application, but the scope of the embodiments of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the embodiments of the present application, and all the changes or substitutions should be covered by the scope of the embodiments of the present application.

Claims (10)

1. A data processing method is characterized in that the method is applied to correction of meter misread number; the method comprises the following steps:
obtaining a current electronic reading of the meter;
comparing the current electronic reading with the last correct reading in the database;
if the current electronic reading is smaller than the last correct reading in the database, executing a first correction step;
in the first correction step, if the difference between the current electronic reading and the last correct reading in the database is judged to be not larger than a preset difference, a second correction step is executed;
and if the difference value between the current electronic reading and the last correct reading in the database is larger than the preset difference value, executing a third correction step.
2. A data processing method according to claim 1, wherein the preset difference value is determined according to a nominal flow rate of the meter.
3. The data processing method of claim 1, wherein the second correcting step comprises: determining that the current electronic reading is a reversed reading resulting from reversal of the meter, and not storing the current electronic reading.
4. The data processing method according to claim 1, wherein the third modification step comprises:
judging whether the last correct reading has a marked corrected weight digit or not;
if yes, executing a fourth correction step; if not, executing a fifth correction step;
wherein the fourth correcting step includes:
replacing the number on the weight digit corresponding to the current electronic reading by the number of the corrected weight digit to obtain a replacement corrected reading;
comparing the replacement corrected reading with the last correct reading in the database;
if the replacement correction reading is smaller than the last correct reading in the database, judging whether the difference between the replacement correction reading and the last correct reading is smaller than the preset difference;
if yes, determining that the replacement correction reading is an inversion reading caused by the inversion of the meter, and if not, executing the fifth correction step;
if the replacement correction reading is not smaller than the last correct reading in the database, judging whether the difference value between the replacement correction reading and the last correct reading is smaller than the preset difference value;
if so, taking the replacement correction reading as the reading after the current electronic reading is corrected, marking the corrected weight digit, and storing the corrected weight digit into the database;
if not, executing the fifth correction step.
5. The data processing method according to claim 4, wherein the fifth modification step comprises:
calculating the reading which possibly appears between the last correct reading and the current electronic reading at two moments, and using the reading as a pending current electronic reading set;
matching the number on each weight digit of each pending current electronic reading with the number on the same weight digit of the current electronic reading to obtain the matching degree of each pending current electronic reading and the current electronic reading;
and taking the undetermined current electronic reading with the highest matching degree as a matching correction reading of the current electronic reading, marking corrected weight digits, and storing the corrected weight digits into the database.
6. The data processing method of claim 5, wherein said calculating a reading that is likely to occur between two times of the last correct reading and the current electronic reading as a set of pending current electronic readings comprises:
calculating the maximum theoretical value of the current moment according to the nominal flow of the instrument and the time length between the two moments;
all readings between the maximum theoretical value and the last correct reading are taken as a pending current set of electronic readings.
7. The data processing method of claim 5, wherein the step of taking the pending current electronic reading with the highest degree of matching as a first corrected reading of the current electronic reading and marking a corrected weight digit comprises:
and if two or more to-be-determined current electronic readings with the highest matching degree exist, acquiring a set of instrument variation values in the same time period within a preset time limit to obtain a cut-to-tail mean value, and selecting one closest to the sum of the last correct reading and the cut-to-tail mean value as the matching correction reading.
8. The data processing method of claim 1, wherein the method further comprises:
if the current electronic reading is not smaller than the last correct reading in the database;
judging whether the difference between the current electronic reading and the last correct reading in the database is larger than a preset difference or not;
if yes, executing the first correction step.
9. A data processing device is characterized in that the device is applied to correction of meter misread; the device comprises:
an acquisition module for acquiring a current electronic reading of the meter;
the comparison module is used for comparing the current electronic reading with the last correct reading in the database;
the first execution module is used for executing a first correction step when the current electronic reading is smaller than the last correct reading in the database;
in the first correction step, if the difference between the current electronic reading and the last correct reading in the database is judged to be not larger than a preset difference, a second correction step is executed;
and if the difference value between the current electronic reading and the last correct reading in the database is smaller than the preset difference value, executing a third correction step.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, performs the method of any one of claims 1 to 8.
CN202210896562.3A 2022-07-28 2022-07-28 Data processing method, device and storage medium Pending CN115203291A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116020016A (en) * 2023-03-30 2023-04-28 南昌大学第二附属医院 Parameter calibration method and system for injection simulator

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116020016A (en) * 2023-03-30 2023-04-28 南昌大学第二附属医院 Parameter calibration method and system for injection simulator
CN116020016B (en) * 2023-03-30 2023-11-03 南昌大学第二附属医院 Parameter calibration method and system for injection simulator

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