CN115695503A - Terminal data reading method, meter reading system, electronic device and storage medium - Google Patents

Terminal data reading method, meter reading system, electronic device and storage medium Download PDF

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CN115695503A
CN115695503A CN202211702064.7A CN202211702064A CN115695503A CN 115695503 A CN115695503 A CN 115695503A CN 202211702064 A CN202211702064 A CN 202211702064A CN 115695503 A CN115695503 A CN 115695503A
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data
time
copying
reading
load curve
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易模
刘锡
廖珍红
熊海峰
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Changsha Lihe Micro Intelligent Technology Co ltd
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Changsha Lihe Micro Intelligent Technology Co ltd
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Abstract

The invention discloses a terminal data reading method, a meter reading system, electronic equipment and a storage medium, wherein the method comprises the steps of reading the daily frozen data of an acquisition point, and obtaining the reading result of the daily frozen data and the reading time of the daily frozen data; then calculating all time points to be copied additionally according to the time for copying the daily frozen data and the acquisition interval time of the load curve data, wherein the time points to be copied additionally are the time points of the load curve data to be copied additionally; and after the copying of the frozen data is finished on the last day, starting a load curve data copying task, sequentially copying and reading the load curve data of each time point of the acquisition point, taking a time period between the time points of the two load curve data as a complementary copying time period, and sequentially copying the load curve data of the time point to be copied according to a load curve complementary copying algorithm in the complementary copying time period. The problem of random data missing of the collection points can be solved, and the collection rate and the integrity rate of electric power data collection are improved.

Description

Terminal data reading method, meter reading system, electronic device and storage medium
Technical Field
The invention relates to the field of electric power data acquisition, in particular to a terminal data reading method, a meter reading system, electronic equipment and a storage medium.
Background
The electric power industry needs to collect and store massive electric energy data through the terminal in time and then report the electric energy data to the main station for processing. In the present acquisition environment, the adoption of the HPLC technology for power line communication significantly improves the reliability and stability. However, the concentrator using the HPLC technology needs to collect high-frequency real-time data of all electric energy meters under the platform area in addition to daily freezing data. However, for a large-scale or poor-channel-condition acquisition environment, the communication quality of HPLC is easily affected by time intervals, and it is difficult to ensure that the acquisition data required by the master station can be obtained completely.
The terminal needs to read the high-frequency data every day, and also needs to read the daily frozen data, the demand data, the full events and the like of the electric energy meter, and the reading priority of the data is higher than that of the high-frequency data. The reading of high-frequency data is suspended at a terminal in some time periods, so that data 'missing points' exist in the time period which cannot be read. Under the conditions of abnormal communication and overlarge scale in the acquisition environment, the terminal may not acquire all required data within a specified time, so that random acquisition point data leakage is caused, and the acquisition rate and the integrity rate of electric power data acquisition are reduced.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a terminal data reading method, a meter reading system, electronic equipment and a storage medium, which can solve the problem of random data missing of collection points and improve the collection rate and the integrity rate of electric power data collection.
The terminal data copying method according to the embodiment of the first aspect of the invention comprises the following steps:
reading the daily frozen data of the acquisition point to obtain a reading result of the daily frozen data and reading time of the daily frozen data;
calculating all time points to be copied additionally according to the time of copying the daily freezing data and the acquisition interval time of the load curve data, wherein the time points to be copied additionally are the time points of the load curve data to be copied additionally;
and after the reading of the daily frozen data is finished, starting a load curve data reading task, sequentially reading the load curve data of each time point of the acquisition point, taking a time period between the time points of the two load curve data as a complementary reading time period, and sequentially performing complementary reading on the load curve data of the time point to be subjected to complementary reading according to a load curve complementary reading algorithm in the complementary reading time period.
The terminal data copying method provided by the embodiment of the first aspect of the invention at least has the following beneficial effects:
reading the daily frozen data of the acquisition point to obtain a reading result of the daily frozen data and reading time of the daily frozen data; then calculating all time points to be copied additionally according to the time for copying the daily frozen data and the acquisition interval time of the load curve data, wherein the time points to be copied additionally are the time points of the load curve data needing to be copied additionally; and after the copying of the frozen data is finished on the last day, starting to perform a load curve data copying task, sequentially copying the load curve data of each time point of the acquisition point, taking a time period between the time points of the two load curve data as a copying supplementing time period, and sequentially copying the load curve data of the time point to be copied according to a load curve copying supplementing algorithm in the copying supplementing time period. In order to ensure the real-time performance of data, the invention introduces a copying scheme aiming at load curve data, and performs copying on the missed curve data in stages on the premise of ensuring the priority copying of daily frozen data, so that the problem of 'missing points' of random acquisition point data can be solved, and the acquisition rate and the integrity rate of electric power data acquisition are improved.
According to some embodiments of the present invention, the specific steps of calculating all time points to be compensated according to the time reading of the daily freezing data and the acquisition interval time of the load curve data are as follows:
acquiring the reading duration of the daily frozen data and the reading starting time of the daily frozen data from the reading time of the daily frozen data;
calculating the number of time points to be copied additionally according to the copying duration of the daily freezing data and the acquisition interval time of the load curve data;
and obtaining all time points to be copied according to the reading starting time of the daily frozen data and the number of the time points to be copied.
According to some embodiments of the invention, the calculation formula for calculating the number of time points to be subjected to supplementary reading according to the reading duration of the daily freezing data and the acquisition interval time of the load curve data is as follows
Y=X/T;
Wherein Y is the number of time points needing to be copied, T is the acquisition interval time of the load curve data, and X is the copying duration of the daily frozen data.
According to some embodiments of the present invention, the load curve complementary reading algorithm comprises the following specific steps:
obtaining the residual time of the current complementary copying time period;
calculating the number n of the time points to be subjected to complementary copying in the current complementary copying time period according to the residual time of the current complementary copying time period 1
Taking a time point to be subjected to complementary copying which is closest to the current time as an initial complementary copying time point, and sequentially aligning n according to the time sequence 1 And performing complementary copying at each time point to be subjected to complementary copying.
According to some embodiments of the present invention, the number n of the time points to be subjected to complementary copying in the current complementary copying time period is calculated according to the remaining time of the current complementary copying time period 1 Is calculated by the formula
n 1 =[(T 1 / T 2 )/ k]/ b
Wherein, T 1 Is the remaining time of the current complementary reading time period, T 2 And the reading time of a single load curve data point, k is the number of acquisition points, and b is the number of curve data items.
According to some embodiments of the present invention, in the load curve data copying task, if it is determined that one of the collection points does not support the copying of the load curve data, the collection point is placed in a blacklist for the copying of the load curve data, and the load curve data of the collection point in the blacklist is not copied any more.
According to some embodiments of the invention, the stay time of the acquisition point on the blacklist lasts to zero on the next working day.
The meter reading system comprises a main station and a terminal in communication connection with the main station, wherein the terminal reads data of the acquisition point by the method.
The meter reading system according to the embodiment of the second aspect of the invention has at least the following advantages:
reading the daily frozen data of the acquisition point to obtain a reading result of the daily frozen data and reading time of the daily frozen data; then calculating all time points to be copied additionally according to the time for copying the daily frozen data and the acquisition interval time of the load curve data, wherein the time points to be copied additionally are the time points of the load curve data to be copied additionally; and after the copying of the frozen data is finished on the last day, starting a load curve data copying task, sequentially copying and reading the load curve data of each time point of the acquisition point, taking a time period between the time points of the two load curve data as a complementary copying time period, and sequentially copying the load curve data of the time point to be copied according to a load curve complementary copying algorithm in the complementary copying time period. In order to ensure the real-time performance of data, the invention introduces a copying scheme aiming at load curve data, and performs copying on the missed curve data in stages on the premise of ensuring the priority copying of daily frozen data, so that the problem of 'missing points' of random acquisition point data can be solved, and the acquisition rate and the integrity rate of electric power data acquisition are improved.
According to an embodiment of the third aspect of the invention, the electronic device comprises a memory, a processor, a program stored on the memory and executable on the processor, and a data bus for enabling a connection communication between the processor and the memory, the program, when executed by the processor, implementing the steps of the method as described above.
According to the electronic device of the embodiment of the third aspect of the invention, at least the following beneficial effects are achieved:
reading the daily frozen data of the acquisition point to obtain a reading result of the daily frozen data and reading time of the daily frozen data; then calculating all time points to be copied additionally according to the time for copying the daily frozen data and the acquisition interval time of the load curve data, wherein the time points to be copied additionally are the time points of the load curve data to be copied additionally; and after the copying of the frozen data is finished on the last day, starting a load curve data copying task, sequentially copying and reading the load curve data of each time point of the acquisition point, taking a time period between the time points of the two load curve data as a complementary copying time period, and sequentially copying the load curve data of the time point to be copied according to a load curve complementary copying algorithm in the complementary copying time period. In order to ensure the real-time performance of data, the invention introduces a copy supplementing scheme aiming at load curve data, carries out copy supplementing on the copy missing curve data in stages on the premise of ensuring the preferential reading of daily frozen data, can solve the problem of random acquisition point data 'point missing', and improves the acquisition rate and the integrity rate of electric power data acquisition.
A storage medium according to an embodiment of the fourth aspect of the invention is a computer-readable storage medium for computer-readable storage, the storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of the above-described method.
The storage medium according to the fourth aspect of the embodiment of the invention has at least the following advantages:
reading the daily frozen data of the acquisition point to obtain a reading result of the daily frozen data and reading time of the daily frozen data; then calculating all time points to be copied additionally according to the time for copying the daily frozen data and the acquisition interval time of the load curve data, wherein the time points to be copied additionally are the time points of the load curve data needing to be copied additionally; and after the copying of the frozen data is finished on the last day, starting a load curve data copying task, sequentially copying and reading the load curve data of each time point of the acquisition point, taking a time period between the time points of the two load curve data as a complementary copying time period, and sequentially copying the load curve data of the time point to be copied according to a load curve complementary copying algorithm in the complementary copying time period. In order to ensure the real-time performance of data, the invention introduces a copy supplementing scheme aiming at load curve data, carries out copy supplementing on the copy missing curve data in stages on the premise of ensuring the preferential reading of daily frozen data, can solve the problem of random acquisition point data 'point missing', and improves the acquisition rate and the integrity rate of electric power data acquisition.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The invention is further described with reference to the following figures and examples, in which:
FIG. 1 is a flowchart of a terminal data copying method according to an embodiment of the present invention;
FIG. 2 is a logic block diagram of an example of meter reading in the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it should be understood that the orientation or positional relationship referred to, for example, the upper, lower, etc., is indicated based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplification of description, but does not indicate or imply that the device or element referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention.
In the description of the present invention, a plurality means two or more. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
Referring to fig. 1, a method for reading data from a terminal according to an embodiment of the present invention includes the following steps:
s100, reading the daily frozen data of the acquisition points, and obtaining the reading result of the daily frozen data and the reading time of the daily frozen data.
It should be understood that a plurality of acquisition points are usually mounted below one terminal, the terminal reads the daily freezing data of the acquisition points through an HPLC or other carrier, the daily freezing data are usually multiple items, including daily freezing power data, demand data, total events and the like, the acquisition priority of the daily freezing data is higher than that of the load curve data, and the terminal is usually set at a zero point to read the daily freezing data of the previous day of each acquisition point.
And S200, calculating all time points to be copied additionally according to the time for copying the daily freezing data and the acquisition interval time of the load curve data, wherein the time points to be copied additionally are the time points of the load curve data to be copied additionally.
The specific step of step S200 is
S201, obtaining the reading duration of the daily frozen data and the reading starting time of the daily frozen data from the reading time of the daily frozen data;
for example, if the terminal has a total of k acquisition points next and the daily frozen data of each acquisition point is a items, the time X consumed by the terminal to read the total k × a items of the daily frozen data of the acquisition points is the reading duration of the daily frozen data, and the reading start time of the daily frozen data is usually zero, although other time points may be set as the start time.
S202, calculating the number of time points to be copied additionally according to the copying duration of the daily freezing data and the acquisition interval time of the load curve data;
specifically, the calculation formula of the time point number to be copied is
Y=X/T;
Wherein Y is the number of time points to be copied, T is the acquisition interval time of the load curve data, which is usually set to 15 minutes, that is, 96 points of a day, and X is the copying duration time of the daily frozen data.
And S203, obtaining all time points to be copied according to the copying starting time of the daily frozen data and the number of the time points to be copied, namely obtaining the load curve data of which time points need to be copied.
And S300, after the reading of the daily frozen data is finished, starting to read the load curve data, sequentially reading the load curve data of each time point of the acquisition point, taking a time period between the time points of the two load curve data as a complementary reading time period, and sequentially performing complementary reading on the load curve data of the time point to be subjected to complementary reading according to a load curve complementary reading algorithm in the complementary reading time period.
It should be noted that the load curve complementary reading algorithm in the embodiment of the present invention specifically includes the following steps:
s301, obtaining the residual time T of the current complementary copying time period 1
S302, according to the residual time T of the current complementary copying time period 1 Calculating the number n of the time points to be subjected to the additional copying in the current additional copying time period 1
In particular, n 1 Is calculated by the formula
n 1 =[(T 1 / T 2 )/ k]/ b
Wherein, T 1 Is the remaining time, T, of the current complementary copying time period 2 And the reading time of a single load curve data point, k is the number of acquisition points, and b is the number of curve data items.
S303, taking a time point to be subjected to complementary copying which is closest to the current time as an initial complementary copying time point, and sequentially aligning n according to the time sequence 1 And performing supplementary copying at each time point to be subjected to supplementary copying.
It should be noted that, load curve reading of some data items may not be supported by the electric energy meters in the acquisition environment, and reading the electric energy meters wastes a large amount of time, which seriously affects the data processing efficiency. In order to further improve the acquisition efficiency, the embodiment of the invention is further provided with a temporary blacklist mechanism, which specifically comprises the following steps:
in the load curve data copying task, if a certain collection point is judged not to support the copying of the load curve data, the collection point is put into a blacklist of the copying of the load curve data. And if the acquisition point can read the basic data item but cannot read the load curve data item, determining that the acquisition point does not support reading of the load curve data. And after the collection points are put into the blacklist, the terminal does not read the load curve data of the collection points in the blacklist any more.
In order to improve the acquisition rate, the stay time of the acquisition points in the blacklist continues to the zero point of the next working day, namely the acquisition points in the blacklist are released after the zero crossing point, the change of the electric energy meter of the acquisition points is responded, the blacklist can be set to be manually released, but the manual release is set to be easy to miss, and the acquisition rate is influenced.
The following describes a specific working flow of the present invention with a specific example, which is shown in fig. 2:
suppose a certain region adopts a broadband carrier scheme, and the next k acquisition points are P 1 ~P k . Reading a items of daily frozen data a of the acquisition points every day, wherein the items are respectively F 1 ~F a And the load curve data b item of the acquisition point is respectively H 1 ~H b
1) The process is started, firstly, daily freezing data of the acquisition points are read, the daily freezing data have k multiplied by a items in total, and the time is taken for X minutes;
2) Starting a curve reading task, and ensuring that a power carrier master control node (CCO) in the HPLC is in a concentrator active mode;
3) Before reading curve data, calculating time points Y = X/15 needing to be subjected to copying for all acquisition points according to the copying time of daily frozen data, namely the acquisition interval is 15min, and the initial acquisition interval starts from 0 min. Taking the current time of the concentrator as a reference, processing the current time according to a multiple of 15min, and taking the processed current time as a time scale which is marked as p 1 -d 1 —p 1 -d y …p k -d 1 —p k -d y
4) Sequentially reading curve data of all acquisition points in the current time period according to the acquisition point sequence;
5) If the acquisition point denies the message, the acquisition point is placed in a blacklist, and the reading is not carried out in the current round;
6) After copying the curve data of the current time period, making a complementary copying plan of the current time period according to the remaining time between copying completion of the current curve data and copying beginning of the next curve data, and calculating the number n of time points to be subjected to complementary copying in the current complementary copying time period 1
7) Starting a complementary copying process, and finding a point d closest to the current time 1 According to the complementary copying points calculated in the step 6), all load curve data items needing complementary copying are processed according to p 1 -d 1 —p k -d 1 The order of the additional copy;
8) Step 7), after the execution is finished, continuously finding out a point d closest to the current time 2 For all load curve data items needing to be copied in a complementary mode according to p 1 -d 2 —p k -d 2 The number of the additional copies is added;
9) And 7) repeatedly executing the step 7) until all n are copied 1 Data for each time point;
10 Starting to read the next round of curve meter, calculating the number n of additional reading at the current time point according to the step 6) 2 Repeatedly executing the step 7);
11 ) repeating the steps 9) and 10) a number of times m until n 1 +n 2 +n 3 +…+n m =Y;
12 All the copying is finished, and the process is finished.
Reading the daily frozen data of the acquisition point to obtain a reading result of the daily frozen data and reading time of the daily frozen data; then calculating all time points to be copied additionally according to the time for copying the daily frozen data and the acquisition interval time of the load curve data, wherein the time points to be copied additionally are the time points of the load curve data to be copied additionally; and after the copying of the frozen data is finished on the last day, starting to perform a load curve data copying task, sequentially copying the load curve data of each time point of the acquisition point, taking a time period between the time points of the two load curve data as a copying supplementing time period, and sequentially copying the load curve data of the time point to be copied according to a load curve copying supplementing algorithm in the copying supplementing time period. In order to ensure the real-time performance of data, the invention introduces a copying scheme aiming at load curve data, and performs copying on the missed curve data in stages on the premise of ensuring the priority copying of daily frozen data, so that the problem of 'missing points' of random acquisition point data can be solved, and the acquisition rate and the integrity rate of electric power data acquisition are improved. And by setting the blacklist, the collection points which do not support reading of the load curve data are shielded, so that a large amount of time is prevented from being wasted, and the collection efficiency is improved.
The invention also relates to a meter reading system which comprises the main station and a terminal in communication connection with the main station, wherein the terminal reads the data of the acquisition point by the method of the embodiment.
The invention also relates to an electronic device comprising a memory, a processor, a program stored on the memory and executable on the processor, and a data bus for enabling a connection communication between the processor and the memory, the program, when executed by the processor, implementing the steps of the method according to the above-described embodiment.
The present invention also relates to a storage medium, which is a computer-readable storage medium for computer-readable storage, the storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of the method of the above-described embodiments.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.

Claims (10)

1. A terminal data copying and reading method is characterized by comprising the following steps:
reading the daily frozen data of the acquisition point to obtain a reading result of the daily frozen data and reading time of the daily frozen data;
calculating all time points to be copied additionally according to the time of copying the daily freezing data and the acquisition interval time of the load curve data, wherein the time points to be copied additionally are the time points of the load curve data to be copied additionally;
and after the copying of the daily frozen data is finished, starting to carry out a load curve data copying task, sequentially copying the load curve data of each time point of the acquisition point, taking a time period between the time points of the two load curve data as a copying supplementing time period, and sequentially copying the load curve data of the time point to be copied according to a load curve copying supplementing algorithm in the copying supplementing time period.
2. The method for reading the data of the terminal according to claim 1, wherein the specific steps of calculating all the time points to be compensated according to the reading time of the daily frozen data and the acquisition interval time of the load curve data are as follows:
acquiring the reading duration of the daily frozen data and the reading starting time of the daily frozen data from the reading time of the daily frozen data;
calculating the number of time points to be copied additionally according to the copying duration of the daily freezing data and the acquisition interval time of the load curve data;
and obtaining all the time points to be copied according to the copying starting time of the daily frozen data and the number of the time points to be copied.
3. The method for reading the data of the terminal according to claim 2, wherein the formula for calculating the number of time points to be copied additionally according to the reading duration of the daily freezing data and the acquisition interval time of the load curve data is as follows
Y=X/T;
Wherein Y is the number of time points needing to be copied, T is the acquisition interval time of the load curve data, and X is the copying duration of the daily frozen data.
4. The terminal data copying method according to claim 1, wherein the load curve complementary copying algorithm comprises the following specific steps:
obtaining the residual time of the current complementary copying time period;
calculating the number n of the time points to be subjected to complementary copying in the current complementary copying time period according to the residual time of the current complementary copying time period 1
Taking a time point to be subjected to complementary copying which is closest to the current time as an initial complementary copying time point, and sequentially aligning n according to the time sequence 1 And performing supplementary copying at each time point to be subjected to supplementary copying.
5. The method for copying terminal data according to claim 4, wherein the number n of time points to be copied for copying in the current copying time period is calculated according to the remaining time of the current copying time period 1 Is calculated by the formula
n 1 =[(T 1 / T 2 )/ k]/ b
Wherein, T 1 Is the remaining time, T, of the current complementary copying time period 2 And the reading time of a single load curve data point, k is the number of acquisition points, and b is the number of curve data items.
6. The method for copying and reading terminal data according to claim 1, wherein in the task of copying and reading load curve data, if it is determined that one acquisition point does not support copying and reading of load curve data, the acquisition point is placed in a blacklist for copying and reading load curve data of the acquisition point in the blacklist, and the load curve data of the acquisition point in the blacklist is not copied and read any more.
7. The method for copying terminal data according to claim 6, wherein the stay time of the collection point on the blacklist lasts to zero of the next working day.
8. A meter reading system, which is characterized by comprising a master station and a terminal in communication connection with the master station, wherein the terminal reads data of a collection point by the method of any one of claims 1 to 7.
9. An electronic device, characterized in that the electronic device comprises a memory, a processor, a program stored on the memory and executable on the processor, and a data bus for enabling a connection communication between the processor and the memory, which program, when executed by the processor, realizes the steps of the method according to any one of claims 1 to 7.
10. A storage medium, being a computer readable storage medium, for computer readable storage, characterized in that the storage medium stores one or more programs executable by one or more processors to implement the steps of the method of any one of claims 1 to 7.
CN202211702064.7A 2022-12-29 2022-12-29 Terminal data reading method, meter reading system, electronic device and storage medium Pending CN115695503A (en)

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CN110648525A (en) * 2019-09-25 2020-01-03 宁波三星医疗电气股份有限公司 Data complementary reading method and device and power acquisition terminal
CN110954727A (en) * 2019-10-28 2020-04-03 宁波三星医疗电气股份有限公司 Electric energy meter data complementary copying method based on mirror image method
CN111025068A (en) * 2019-12-24 2020-04-17 宁波三星医疗电气股份有限公司 Method and device for reading load curve data of electric meter and electronic equipment
CN114564502A (en) * 2022-03-01 2022-05-31 杭州炬华科技股份有限公司 Electric power data complementary copying method and system based on Redis cache technology

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN204010288U (en) * 2014-07-11 2014-12-10 江苏苏源光一科技有限公司 A kind of power information remote wireless terminal collector
CN108267635A (en) * 2017-12-28 2018-07-10 国网江苏省电力有限公司电力科学研究院 The remote power metering method of the power information data exchange agreement of object-oriented
CN110648525A (en) * 2019-09-25 2020-01-03 宁波三星医疗电气股份有限公司 Data complementary reading method and device and power acquisition terminal
CN110954727A (en) * 2019-10-28 2020-04-03 宁波三星医疗电气股份有限公司 Electric energy meter data complementary copying method based on mirror image method
CN111025068A (en) * 2019-12-24 2020-04-17 宁波三星医疗电气股份有限公司 Method and device for reading load curve data of electric meter and electronic equipment
CN114564502A (en) * 2022-03-01 2022-05-31 杭州炬华科技股份有限公司 Electric power data complementary copying method and system based on Redis cache technology

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