CN110992210A - Dynamic intelligent meter reading method and system - Google Patents
Dynamic intelligent meter reading method and system Download PDFInfo
- Publication number
- CN110992210A CN110992210A CN201911312675.9A CN201911312675A CN110992210A CN 110992210 A CN110992210 A CN 110992210A CN 201911312675 A CN201911312675 A CN 201911312675A CN 110992210 A CN110992210 A CN 110992210A
- Authority
- CN
- China
- Prior art keywords
- meter reading
- meter
- data
- reading
- waiting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000005611 electricity Effects 0.000 claims description 23
- 238000012545 processing Methods 0.000 claims description 14
- 238000011084 recovery Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 4
- 238000009960 carding Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000002035 prolonged effect Effects 0.000 abstract description 2
- 238000012423 maintenance Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 230000032683 aging Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004128 high performance liquid chromatography Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The invention discloses a dynamic intelligent meter reading method and a system, belonging to the technical field of intelligent power grids, comprising the steps of establishing meter files, acquisition tasks and acquisition schemes of electric energy meters, and calculating the total times n of electric meter data items needing to be read in the current period according to the acquisition tasks and the acquisition schemes; according to the residual time t of the period obtained from the task execution frequency2And the remaining number (n-i-j) of meter reading to obtain the maximum waiting reply time t of meter reading1(ii) a According to the maximum waiting reply time t of meter reading1Reading each data item of the current electric energy meter, storing the data item which is successfully read into a successful data list, and storing the data item which is failed to read into a failed data list; re-estimating the longest waiting time after completing any reading, and marking the number of the data which are not successfully read through the current surplus dataThe reading time of the data items is prolonged or reduced, and all the data items of all the electric energy meters needing to be read can be ensured to be read successfully.
Description
Technical Field
The invention relates to the technical field of intelligent power grids, in particular to a dynamic intelligent meter reading method and system.
Background
In daily life, the electricity can not be saved, the annual electricity selling amount is 42361 hundred million kilowatt hours according to data published by the official part of the national grid and the electric network, and huge data statistics are obtained from tens of thousands of electricity utilization information acquisition terminals, and the electricity utilization information acquisition terminals are used for facing all electricity meter users under one district or branch.
In an electric power system, the number of electric meters managed by one power consumption information acquisition terminal is adapted according to local conditions, even thousands of electric energy meters are available in some areas, the requirements on the on-site meter reading success rate are close to or reach 100% due to the complex environment of the on-site and the continuous improvement of on-site meter reading success rate indexes of various power supply companies, and the data items needing to be read are completely read in a limited time, so that great pressure and challenges exist for the power consumption information acquisition terminal. In particular, high frequency data acquisition in the HPLC scheme (a high speed power line communication technology) recently proposed by the national grid company. The data acquisition frequency is faster, and more data items are acquired.
However, currently, most of terminal manufacturers adopt a main-stream meter reading mode to fix the reading sequence of the electric energy meter according to a fixed measurement point number or other similar attributes which can be used for distinguishing, because of the influence of factors such as a complex field environment and incomplete and consistent practice of each electric energy meter manufacturer, the terminal acquisition rate is low, and other electric energy meters which cannot be normally acquired adopt a manual reading mode to acquire data, which inevitably increases the cost of field operation and maintenance.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, improve the meter reading success rate of the whole power utilization information acquisition and reduce the on-site operation and maintenance cost.
In order to achieve the purpose, the invention adopts a dynamic intelligent meter reading method for acquiring the electricity utilization information of an electricity utilization information acquisition terminal, which comprises the following steps:
s1, establishing meter files, acquisition tasks and acquisition schemes of the electric energy meters, and calculating the total times n of the electric meter data items needing to be read in the current period according to the acquisition tasks and the acquisition schemes;
s2, according to the residual time t of the period obtained from the task execution frequency2And the remaining number (n-i-j) of meter reading to obtain the maximum waiting reply time t of meter reading1；
S3, according to the maximum waiting reply time t of meter reading1Reading each data item of the current electric energy meter into a meter reading data itemStoring the successful data items into a successful data list, and storing the data items which fail to be copied into a failed data list;
s4, re-estimating the maximum waiting reply time t of meter reading according to the total number of the failure data list after each meter reading1Is T1And according to the re-estimated maximum waiting reply time T of the meter reading1And performing meter reading processing on the data items in the failure data list.
Further, in step S3, according to the maximum waiting reply time t for meter reading1Reading data items of the current electric energy meter, storing the data items successfully read into a successful data list, and storing the data items failed in reading into a failed data list, wherein the reading process comprises the following steps:
s31, judging the maximum waiting reply time t of meter reading1Whether it is equal to zero, if not, performing step S32, if so, performing step S36;
s32, reading all data items of the current electric energy meter according to the meter reading sequence list;
s33, storing the data items successfully read into a successful data list, and storing the data items failed in reading into a failed data list;
s34, judging whether the sum of the total number i of the successful data lists and the total number j of the failed data lists reaches the total number n of the electric meter data items to be copied, if so, executing a step S35, and otherwise, executing a step S2;
s35, judging whether the total number i of the successful data lists reaches the total number n of the electric meter data items to be copied, if so, executing the step 36, otherwise, executing the step S4;
and S36, ending the current cycle of meter reading of the electric energy meter, and waiting for the meter reading time of the next period.
Further, in step S32, reading data items of the current electric energy meter according to the meter reading sequence list, including:
s321, judging the maximum waiting reply time t of meter reading1Whether or not it is less than the minimum threshold t for waiting to reply3If yes, go to step S322, otherwise go to step S323;
S322、will wait for a reply to the minimum threshold t3Assigning a value to the maximum waiting reply time t of meter reading1Obtaining a waiting recovery time T2；
S323, the maximum waiting reply time t is obtained through the meter reading1Obtaining a waiting reply time T2；
S324, judging whether a meter reading sequence list exists in the current cache, if so, executing a step S325, otherwise, executing a step S326;
s325, reading all data items of the current electric energy meter according to a meter reading sequence list;
s326, reading data items of the current electric energy meter according to a meter reading sequence list of default measuring points;
s327, waiting for the end of the data item of the meter reading, wherein the waiting end time does not exceed the waiting reply time T2。
Further, in the step S4, after each meter reading, the maximum waiting reply time t for meter reading is re-estimated according to the total number of the failed data list1Is T1And according to the re-estimated maximum waiting reply time T of the meter reading1Performing meter reading processing on data items in the failure data list, wherein the meter reading processing comprises the following steps:
s41, according to the residual time t of the period obtained from the task execution frequency2And the remaining number j of meter reading is obtained to obtain the current maximum waiting reply time T of meter reading1；
S42, judging the current maximum waiting reply time T of meter reading1If not, performing the step S36, otherwise performing the step S43;
s43, judging the current maximum waiting reply time T of meter reading1Whether or not it is less than the minimum threshold t for waiting to reply3If yes, go to step S44, otherwise go to step S45;
s44, waiting for the minimum threshold t to be returned3Reassigning to maximum wait reply time T1Obtaining a recovery time T3；
S45, maximum waiting reply time T for meter reading1Obtaining a waiting reply time T3；
S46, judging the current maximum waiting reply time T of meter reading3Whether it is less than the maximum threshold value t for waiting to reply4If yes, go to step S47, otherwise go to step S48;
s47, waiting for the maximum threshold value t to be returned4Reassign to the maximum wait reply time T3Obtaining a recovery time T4；
S48, reading the meter according to the maximum waiting reply time T3Obtaining a waiting reply time T4；
S49, finding the electric meter data item information with the minimum subscript number from the failure data list, deleting the electric meter data item, sequentially moving the subscript numbers in the following list forwards, and reading each data item in the current failure data list according to the meter reading sequence list;
s50, waiting for the end of the data item of the meter reading, wherein the waiting end time does not exceed the waiting reply time T4Storing the data item which is successfully copied and read into the successful data list, storing the data item which is failed to be copied and read into the failed data list, and then executing the step S35.
Further, in S36, the ending of the current cycle of the current electric energy meter reading, and waiting for the next cycle of the meter reading time includes:
when the failure data list is not empty, connecting the failure data list to the success data list to form a brand-new meter reading sequence list;
when the failure data list is empty, directly forming a brand-new meter reading sequence list from the success data list, and deleting the failure data list;
and waiting for the meter reading time of the next period.
Further, still include: and after each round of meter reading is finished, counting the data items and the electric meter numbers in the failure data list, and after the normal operation is carried out for M periods, analyzing the failure data items and the electric meter numbers in the M periods, and early warning the faults.
Further, after each round of meter reading is finished, the data items and the electric meter numbers in the failure data list are counted, and after M periods of normal operation, the failure data items and the electric meter numbers in the M periods are analyzed, and faults are early warned, wherein the method comprises the following steps:
acquiring the number H of the electric energy meters to be acquired and the total number X of the data items to be read by the electric energy meters through the meter files of the electric energy meters, the acquisition tasks and the acquisition schemesi(1 ≤i ≤H)；
After the electricity consumption information acquisition terminal runs for M periods, analyzing the statistical results of the data items and the electricity meter numbers which are failed to read;
the failure data list of each period of a certain electric energy meter in M periods is equal to the total number X of the data items of the electric energy meteriIf yes, confirming the fault and giving an alarm;
and confirming the fault and giving an alarm when a certain data item in each period of all the electric energy meters in the M periods has failure.
Further, in step S1, the method further includes:
and carrying out carding sequencing on the electric energy meter data items acquired from the acquisition tasks and the schemes again, and combining the related data items into a whole data block.
In another aspect, a dynamic intelligent meter reading system is provided, comprising: the device comprises a data item total time calculation module, a meter reading maximum waiting reply time calculation module, a meter reading module and a dynamic meter reading module;
the data item total number calculating module is used for establishing meter files, collecting tasks and collecting schemes of all the electric energy meters, and calculating the total number n of the electric energy meter data items needing to be read in the current period according to the collecting tasks and the collecting schemes;
the meter reading maximum waiting reply time calculation module is used for calculating the remaining time t of the period obtained from the task execution frequency2And the remaining number (n-i-j) of meter reading to obtain the maximum waiting reply time t of meter reading1；
The meter reading module is used for waiting for the maximum reply time t according to the meter reading1For each data of the current electric energy meterPerforming meter reading processing on the items, storing the data items which are successfully read into a successful data list, and storing the data items which are failed in reading into a failed data list;
the dynamic meter reading module is used for re-estimating the maximum waiting reply time t of the meter reading according to the total number of the failure data list after each meter reading1Is T1And according to the re-estimated maximum waiting reply time T of the meter reading1Performing meter reading processing on data items in the failure data list
And the analysis early warning module is used for counting the data items and the electric meter numbers in the failure data list after each round of meter reading is finished, analyzing the failure data items and the electric meter numbers in M periods after the normal running of the electric meter is performed for M periods, and early warning the faults.
Compared with the prior art, the invention has the following technical effects: the invention predicts the longest waiting time of all the data items of the electric energy meter read in the current period in advance, re-estimates the longest waiting time after completing any reading, prolongs or reduces the reading time of the data items through the number of the remaining data identifications which are not successfully read, achieves a dynamic reading process, and ensures or enables all the data items of the electric energy meter which need to be read to be successfully read. The time is dynamically allocated to read each data item of the electric energy meter, so that the meter reading success rate of the whole electricity utilization information collection is improved, and the on-site operation and maintenance cost is reduced; the method is more beneficial to relevant departments to accurately and specifically analyze the relevant indexes of the power supply quality, develop the aging trend analysis of the power supply line and monitor the voltage quality and the load fluctuation condition of the power grid.
Drawings
The following detailed description of embodiments of the invention refers to the accompanying drawings in which:
FIG. 1 is a schematic flow chart diagram of a dynamic intelligent meter reading method;
FIG. 2 is an overall flow diagram of a dynamic intelligent meter reading method;
fig. 3 is a schematic structural diagram of a dynamic intelligent meter reading system.
Detailed Description
To further illustrate the features of the present invention, refer to the following detailed description of the invention and the accompanying drawings. The drawings are for reference and illustration purposes only and are not intended to limit the scope of the present disclosure.
As shown in fig. 1 to fig. 2, the present embodiment discloses a dynamic intelligent meter reading method for collecting power consumption information of a power consumption information collecting terminal, including the following steps S1 to S4:
s1, establishing meter files, acquisition tasks and acquisition schemes of the electric energy meters, and calculating the total times n of the electric meter data items needing to be read in the current period according to the acquisition tasks and the acquisition schemes;
it should be noted that, in this embodiment, if 500 electric energy meters need to be read in the current cycle, and each electric energy meter needs to read 4 data items, the total number of data items that need to be read in may be calculated to be n of 2000, that is, n = the number of electric energy meters × the number of data items that need to be read in each electric energy meter.
S2, according to the residual time t of the period obtained from the task execution frequency2And the remaining number (n-i-j) of meter reading to obtain the maximum waiting reply time t of meter reading1；
The remaining time t of the present cycle obtained from the task execution frequency is used2Dividing the remaining number (n-i-j) of meter reading to obtain the maximum waiting reply time t of meter reading1For example, if the remaining time of the period is 3600s, the maximum waiting recovery time t is estimated when the first reading is carried out13600 s/2000 =1.8 s.
S3, according to the maximum waiting reply time t of meter reading1Reading each data item of the current electric energy meter, storing the data item which is successfully read into a successful data list, and storing the data item which is failed to read into a failed data list;
s4, re-estimating the maximum waiting reply time t of meter reading according to the total number of the failure data list after each meter reading1Is T1And according to the re-estimated maximum waiting reply time T of the meter reading1And performing meter reading processing on the data items in the failure data list.
According to the method, the longest waiting time of all data items of the electric energy meter read in the current period is estimated, the longest waiting time is estimated again after any reading is finished, the reading time of the data items is prolonged or reduced through the number of the remaining data identifications which are not successfully read, a dynamic reading process is achieved, and all data items of all the electric energy meters which need to be read can be successfully read normally as far as possible.
Specifically, in step S3, the maximum waiting return time t is determined according to the meter reading1Performing meter reading processing on each data item of the current electric energy meter, storing the data item successfully read into a successful data list, and storing the data item failed in reading into a failed data list, wherein the meter reading processing method comprises the following subdivision steps of S31 to S36:
s31, judging the maximum waiting reply time t of meter reading1Whether it is equal to zero, if not, performing step S32, if so, performing step S36;
s32, reading all data items of the current electric energy meter according to the meter reading sequence list;
s33, storing the data items successfully read into a successful data list, and storing the data items failed in reading into a failed data list;
s34, judging whether the sum of the total number i of the successful data lists and the total number j of the failed data lists reaches the total number n of the electric meter data items to be copied, if so, executing a step S35, and otherwise, executing a step S2;
s35, judging whether the total number i of the successful data lists reaches the total number n of the electric meter data items to be copied, if so, executing the step 36, otherwise, executing the step S4;
and S36, ending the current cycle of meter reading of the electric energy meter, and waiting for the meter reading time of the next period.
Specifically, in the step S32, reading each data item of the current electric energy meter according to the meter reading sequence list, including the following subdivision steps S321 to S327:
s321, judging the maximum waiting reply time t of meter reading1Whether or not it is less than the minimum threshold t for waiting to reply3If yes, go to step S322, otherwise go to step S323;
s322, waiting for the reply to the minimum threshold value t3Assigning a value to the maximum waiting reply time t of meter reading1Obtaining a waiting recovery time T2；
S323, the maximum waiting reply time t is obtained through the meter reading1Obtaining a waiting reply time T2；
S324, judging whether a meter reading sequence list exists in the current cache, if so, executing a step S325, otherwise, executing a step S326;
s325, reading all data items of the current electric energy meter according to a meter reading sequence list;
s326, reading data items of the current electric energy meter according to a meter reading sequence list of default measuring points;
s327, waiting for the end of the data item of the meter reading, wherein the waiting end time does not exceed the waiting reply time T2。
Specifically, in step S4, the maximum waiting reply time t for meter reading is re-estimated according to the total number of the failed data list after each meter reading1Is T1And according to the re-estimated maximum waiting reply time T of the meter reading1Performing meter reading processing on data items in the failure data list, wherein the meter reading processing comprises the following steps:
s41, according to the residual time t of the period obtained from the task execution frequency2And the remaining number j of meter reading is obtained to obtain the current maximum waiting reply time T of meter reading1；
S42, judging the current maximum waiting reply time T of meter reading1If not, performing the step S36, otherwise performing the step S43;
s43, judging the current maximum waiting reply time T of meter reading1Whether or not it is less than the minimum threshold t for waiting to reply3If yes, go to step S44, otherwise go to step S45;
s44, waiting for the minimum threshold t to be returned3Reassigning to maximum wait reply time T1Obtaining a recovery time T3；
S45, maximum waiting reply time T for meter reading1Obtaining a waiting reply time T3；
S46, judging the current maximum waiting reply time T of meter reading3Whether it is less than the maximum threshold value t for waiting to reply4If yes, go to step S47, otherwise go to step S48;
s47, waiting for the maximum threshold value t to be returned4Reassign to the maximum wait reply time T3Obtaining a recovery time T4；
S48, reading the meter according to the maximum waiting reply time T3Obtaining a waiting reply time T4；
S49, finding the electric meter data item information with the minimum subscript number from the failure data list, deleting the electric meter data item, sequentially moving the subscript numbers in the following list forwards, and reading each data item in the current failure data list according to the meter reading sequence list;
s50, waiting for the end of the data item of the meter reading, wherein the waiting end time does not exceed the waiting reply time T4Storing the data item which is successfully copied and read into the successful data list, storing the data item which is failed to be copied and read into the failed data list, and then executing the step S35.
Specifically, in step S36, the ending of the current cycle of the current electric energy meter reading, and waiting for the next cycle of the meter reading time includes:
when the failure data list is not empty, connecting the failure data list to the success data list to form a brand-new meter reading sequence list;
when the failure data list is empty, directly forming a brand-new meter reading sequence list from the success data list, and deleting the failure data list;
and waiting for the meter reading time of the next period.
It should be noted that an optimal meter reading sequence list is formed after one round of meter reading attempt is normally completed or meter reading is successful, so that a large amount of attempt time is saved for the next round of meter reading, the problem of overlong meter reading waiting time caused by field complex environment influence or scheme and task change is solved, and the probability of successful meter reading is improved.
The meter reading steps in the scheme are described as follows by a specific example:
step 1) establishing meter files of the electric energy meters and the acquisition tasks and the acquisition schemes in the electricity utilization information acquisition terminal, and calculating the total number n of the electric meter data items needing to be copied and read in the current period through the acquisition tasks and the acquisition schemes;
step 2) obtaining the residual time t of the period from the task execution frequency2Dividing the meter reading residual times (n-i-j) to obtain the maximum waiting reply time t of meter reading1；
Step 3) judging the maximum waiting reply time t of meter reading1If the maximum waiting reply time is not less than the minimum threshold value t for waiting for replying, the next cycle of meter reading is finished, the meter reading time of the next cycle is waited, and if the maximum waiting reply time is not less than the minimum threshold value t for waiting for replying3(minimum threshold value t for wait recovery in this embodiment)3May be set to 1.5 s); if the condition is satisfied, the waiting reply is carried out by the minimum threshold value t3Reassigning said maximum wait reply time t1And continuously judging whether the meter reading sequence list exists in the current cache, if not, reading the data items according to the default sequence of the measuring points, and if so, reading the data items according to the latest meter reading sequence list.
Waiting for the end of the data item of the meter reading, wherein the waiting end time is maximally equal to the maximum waiting reply time t1Actually, the speed of data reply of the electric meter is related to, whether the reading of the data item of the electric meter is successful or not is judged, if the reading is successful, the data item of the electric meter is stored into a successful data list and is sequentially marked with Mi (i is more than or equal to 1 and is less than or equal to n), if the reading is failed, the data item of the electric meter is stored into a failed data list and is sequentially marked with Mj (j is more than or equal to 1 and is less than or equal to n), and if the reading is completed in one cycle, the data mark in the successful data list is M1... M1990, the data in the failed data list is numbered M1.. M10. Specifically, M1 to M10 in the failure data list are A1-1 (first data item of first electricity meter), A2-2, A3-3, A4-4, A5-1, A6-2, A250-4, A300-2, A499-4, A500-4, respectively;
step 4) judging whether the sum of the total number i of successful data lists and the total number j of failed data lists reaches the total number n of times that the ammeter needs to read, if so, performing step 5), if not, returning to step 2) to continue execution, and if so, obtaining that the total number i of successful data lists is 1900 and the total number j of failed data lists is 100, completing normal reading, and continuing to perform step 5);
step 5) whether the total number i of the success lists reaches the total number n of the reading times of the electric meter, if the total number i of the success lists does not meet the conditions, the step 6) is continuously executed, and if the total number i of the success lists meets the conditions, the step 9) is executed;
acquiring the residual time t of the period from the task execution frequency in the step 6)2Obtaining the maximum waiting reply time t of meter reading by dividing the remaining number j of meter reading1(ii) a In the present embodiment, it is assumed that the remaining time t of the cycle2The maximum waiting reply time t of the meter reading of the round is easily obtained and is 1000s1Is 100 s;
step 7) judging the maximum waiting reply time t of meter reading1Whether the value is equal to a zero value or not, if the condition is met, executing a step 9), and waiting for the meter reading time of the next period; if the zero value condition is not met, continuously judging whether the maximum waiting reply time is less than the minimum threshold value t of waiting reply3，If the condition is satisfied, the waiting reply is carried out by the minimum threshold value t3Reassigning to said waiting maximum reply time t1Continuously judging the maximum waiting reply time t1Whether it is greater than the maximum threshold for recovery t4(waiting for recovery maximum threshold t in this embodiment)4May be set to 10 s), the condition is satisfied and the waiting reply maximum threshold t is set4Reassigning said maximum wait reply time t1Finding the lowest index from the failed data listThe electric meter data item information of (1) is deleted, the subscripts in the following list are sequentially moved forward, and if data exists in the list, the subscripts are ensured to be continuous and the minimum subscript can only be 1.
Waiting for the end of the data item of the meter reading, wherein the waiting end time is maximally equal to the maximum waiting reply time t1Actually, the speed of the electric energy meter to reply data is related to, whether the reading of the data item of the electric energy meter is successful or not is judged, if the reading is successful, the data item of the electric energy meter is stored into a successful data list and is sequentially marked with Mi (i is more than or equal to 1 and less than or equal to n), and if the reading is failed, the data item of the electric energy meter is stored into a failed data list and is sequentially marked with Mj (j is more than or equal to 1 and less than or equal to n);
step 8) whether the total number i of the success lists reaches the total number n of the reading times of the electric meter, if the total number i of the success lists does not reach the total number n of the reading times of the electric meter, the step 6) is continuously executed, if the total number i of the success lists does not meet the condition, the step 9) is executed, and if the total number i of the success lists finishes the reading of all the data items after the reading times of circulation;
step 9) when the failure data list is not empty, connecting the failure data list to the success data list to form a brand new meter reading sequence list, when the failure data list is empty, directly forming the success data list into the brand new meter reading sequence list, wherein the sequence meter reading list should be A1-2 (a second data item of the first electric energy meter), A2-1, A2-3 and A2-4), deleting the failure data list and the success data list, ending the meter reading at this time, waiting for the next cycle of meter reading, and reading the meter reading in the next cycle according to the sequence in the meter reading sequence list, wherein the first reading data item is A1-2 (the first data item read by default in the first cycle is A1-1).
Further, the data reading mode of the power consumption information acquisition terminal in this embodiment includes, but is not limited to, a power line carrier mode, a 485 communication mode, and the like.
Further, on the basis of the disclosure of the above embodiments, the present embodiment further includes: and after each round of meter reading is finished, counting the data items and the electric meter numbers in the failure data list, and after the normal operation is carried out for M periods, analyzing the failure data items and the electric meter numbers in the M periods, and early warning the faults. The method specifically comprises the following steps:
acquiring the number H of the electric energy meters to be acquired and the total number X of the data items to be read by the electric energy meters through the meter files of the electric energy meters, the acquisition tasks and the acquisition schemesi(1 ≤i ≤H)；
After the electricity consumption information acquisition terminal runs for M periods, analyzing the statistical results of the data items and the electricity meter numbers which are failed to read;
the failure data list of each period of a certain electric energy meter in M periods is equal to the total number X of the data items of the electric energy meteriIf yes, confirming the fault and giving an alarm;
and confirming the fault and giving an alarm when a certain data item in each period of all the electric energy meters in the M periods has failure.
If the number H of the electric energy meters needing to be collected and the total number X of the data items to be read by the electric energy meters are obtained through the meter files of the electric energy meters and the collection tasks and the collection schemesi(i is more than or equal to 1 and less than or equal to H), in the above embodiment, the total number H of the electric energy meters is 500, and the total number X of the data items to be read by each electric energy meter1....X500Are all 4. After the terminal runs for M periods, the value of M should depend on the execution frequency of the current task, and if the execution frequency of the task is 1 hour, M can be set to 24, that is, 24 times of reading is taken as an analysis period, so that the sampling amount in the period is large, and the reliability is high. Analyzing the statistical results of the failed data items and the electric meter numbers, and the failed data list of each period of a certain electric energy meter in the latest M periods is equal to the total number X of the data items of the electric energy meteriThe electricity consumption information acquisition terminal can immediately form an alarm, and can inform the electric energy meter that a physical fault possibly occurs in a mode including but not limited to liquid crystal interface display or reporting to a master station, and field maintenance personnel are required to maintain in time; for the condition that all electric energy meters in the latest M periods have failure in a certain data item in each period, the electricity utilization information acquisition terminal can immediately form an alarm, and the alarm can be formed by including but not limited to liquid crystal boundaryAnd the mode of surface display or reporting to the master station informs that the data item is possibly set invalid and needs master station personnel to update the data item in time.
It should be noted that, in this embodiment, after normal meter reading of M periods is completed, statistical analysis is performed on the serial numbers and data items of the electric energy meters that have failed in meter reading in each period, and possible problems such as physical faults and personnel errors are alarmed and timely pushed to relevant responsible persons, so that time for troubleshooting of personnel is saved.
Further, on the basis of the disclosure of the above embodiment, in step S1, the method further includes:
and carrying out carding sequencing on the electric energy meter data items acquired from the acquisition tasks and the schemes again, and combining the related data items into a whole data block.
It should be noted that the related data item described herein refers to a data item that is converted into a reading voltage data block according to the classification of data items in the grid electric power meter protocol, for example, three data items of reading a-phase voltage, B-phase voltage, and C-phase voltage can be read.
Specifically, the electric energy meter data items obtained from the collection tasks and the schemes are sorted again, and the related data items can be combined together to read the whole data block, so that the total times n of the electric energy meter data items needing to be read are reduced.
As shown in fig. 3, this embodiment discloses a dynamic intelligent meter reading system, including: the system comprises a data item total time calculation module 10, a meter reading maximum waiting reply time calculation module 20, a meter reading module 30 and a dynamic meter reading module 40;
the data item total number calculating module 10 is used for establishing meter files, collecting tasks and collecting schemes of each electric energy meter, and calculating the total number n of the electric meter data items needing to be read in the current period according to the collecting tasks and the collecting schemes;
the meter reading maximum waiting reply time calculation module 20 is used for calculating the remaining time t of the period obtained from the task execution frequency2And the remaining number (n-i-j) of meter reading to obtain the maximum waiting reply time t of meter reading1；
The meter reading module 30 is used for waiting for the maximum response time t according to the meter reading1Reading each data item of the current electric energy meter, storing the data item which is successfully read into a successful data list, and storing the data item which is failed to read into a failed data list;
the dynamic meter reading module 40 is used for re-estimating the maximum waiting reply time t of the meter reading according to the total number of the failure data list after each meter reading1Is T1And according to the re-estimated maximum waiting reply time T of the meter reading1And performing meter reading processing on the data items in the failure data list.
And the analysis early warning module is used for counting the data items and the electric meter numbers in the failure data list after each round of meter reading is finished, analyzing the failure data items and the electric meter numbers in M periods after the normal running of the electric meter is performed for M periods, and early warning the faults.
According to the scheme, time is dynamically allocated to read each data item of the electric energy meter, so that the meter reading success rate of the whole electricity utilization information collection is improved, and the on-site operation and maintenance cost is reduced; the method is more beneficial to relevant departments to accurately and specifically analyze the relevant indexes of the power supply quality, develop the aging trend analysis of the power supply line and monitor the voltage quality and the load fluctuation condition of the power grid.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A dynamic intelligent meter reading method is characterized in that the method is used for collecting electricity utilization information of an electricity utilization information collection terminal and comprises the following steps:
s1, establishing meter files, acquisition tasks and acquisition schemes of the electric energy meters, and calculating the total times n of the electric meter data items needing to be read in the current period according to the acquisition tasks and the acquisition schemes;
s2, according to the residual time t of the period obtained from the task execution frequency2And the remaining number (n-i-j) of meter reading to obtain the maximum waiting reply time t of meter reading1；
S3, according to the maximum waiting reply time t of meter reading1Reading each data item of the current electric energy meter, storing the data item which is successfully read into a successful data list, and storing the data item which is failed to read into a failed data list;
s4, re-estimating the maximum waiting reply time t of meter reading according to the total number of the failure data list after each meter reading1Is T1And according to the re-estimated maximum waiting reply time T of the meter reading1And performing meter reading processing on the data items in the failure data list.
2. The dynamic intelligent meter reading method according to claim 1, wherein in step S3, the maximum waiting reply time t for meter reading is determined1Reading data items of the current electric energy meter, storing the data items successfully read into a successful data list, and storing the data items failed in reading into a failed data list, wherein the reading process comprises the following steps:
s31, judging the maximum waiting reply time t of meter reading1Whether it is equal to zero, if not, performing step S32, if so, performing step S36;
s32, reading all data items of the current electric energy meter according to the meter reading sequence list;
s33, storing the data items successfully read into a successful data list, and storing the data items failed in reading into a failed data list;
s34, judging whether the sum of the total number i of the successful data lists and the total number j of the failed data lists reaches the total number n of the electric meter data items to be copied, if so, executing a step S35, and otherwise, executing a step S2;
s35, judging whether the total number i of the successful data lists reaches the total number n of the electric meter data items to be copied, if so, executing the step 36, otherwise, executing the step S4;
and S36, ending the current cycle of meter reading of the electric energy meter, and waiting for the meter reading time of the next period.
3. The dynamic intelligent meter reading method according to claim 2, wherein in the step S32, reading the data items of the current electric energy meter according to the meter reading sequence list, includes:
s321, judging the maximum waiting reply time t of meter reading1Whether or not it is less than the minimum threshold t for waiting to reply3If yes, go to step S322, otherwise go to step S323;
s322, waiting for the reply to the minimum threshold value t3Assigning a value to the maximum waiting reply time t of meter reading1Obtaining a waiting recovery time T2；
S323, the maximum waiting reply time t is obtained through the meter reading1Obtaining a waiting reply time T2；
S324, judging whether a meter reading sequence list exists in the current cache, if so, executing a step S325, otherwise, executing a step S326;
s325, reading all data items of the current electric energy meter according to a meter reading sequence list;
s326, reading data items of the current electric energy meter according to a meter reading sequence list of default measuring points;
s327, waiting for the end of the data item of the meter reading, wherein the waiting end time does not exceed the waiting reply time T2。
4. The dynamic intelligent meter reading method according to claim 2, wherein in the step S4, the maximum waiting reply time t for meter reading is re-estimated according to the total number of the failed data list after each meter reading1Is T1And according to the re-estimated maximum waiting reply time T of the meter reading1Performing meter reading processing on data items in the failure data list, wherein the meter reading processing comprises the following steps:
s41, according toThe remaining time t of the period obtained from the task execution frequency2And the remaining number j of meter reading is obtained to obtain the current maximum waiting reply time T of meter reading1；
S42, judging the current maximum waiting reply time T of meter reading1If not, performing the step S36, otherwise performing the step S43;
s43, judging the current maximum waiting reply time T of meter reading1Whether or not it is less than the minimum threshold t for waiting to reply3If yes, go to step S44, otherwise go to step S45;
s44, waiting for the minimum threshold t to be returned3Reassigning to maximum wait reply time T1Obtaining a recovery time T3；
S45, maximum waiting reply time T for meter reading1Obtaining a waiting reply time T3；
S46, judging the current maximum waiting reply time T of meter reading3Whether it is less than the maximum threshold value t for waiting to reply4If yes, go to step S47, otherwise go to step S48;
s47, waiting for the maximum threshold value t to be returned4Reassign to the maximum wait reply time T3Obtaining a recovery time T4；
S48, reading the meter according to the maximum waiting reply time T3Obtaining a waiting reply time T4；
S49, finding the electric meter data item information with the minimum subscript number from the failure data list, deleting the electric meter data item, sequentially moving the subscript numbers in the following list forwards, and reading each data item in the current failure data list according to the meter reading sequence list;
s50, waiting for the end of the data item of the meter reading, wherein the waiting end time does not exceed the waiting reply time T4Storing the data item which is successfully copied and read into the successful data list, storing the data item which is failed to be copied and read into the failed data list, and then executing the step S35.
5. The dynamic intelligent meter reading method according to claim 4, wherein in S36, the ending of the current cycle of the current electric energy meter reading and waiting for the next cycle of the meter reading time includes:
when the failure data list is not empty, connecting the failure data list to the success data list to form a brand-new meter reading sequence list;
when the failure data list is empty, directly forming a brand-new meter reading sequence list from the success data list, and deleting the failure data list;
and waiting for the meter reading time of the next period.
6. The dynamic intelligent meter reading method according to any one of claims 1 to 5, further comprising: and after each round of meter reading is finished, counting the data items and the electric meter numbers in the failure data list, and after the normal operation is carried out for M periods, analyzing the failure data items and the electric meter numbers in the M periods, and early warning the faults.
7. The dynamic intelligent meter reading method according to claim 6, wherein after each round of meter reading is finished, the data items and the electric meter numbers in the failure data list are counted, and after M periods of normal operation, the failure data items and the electric meter numbers in the M periods are analyzed, and a fault is warned, comprising:
acquiring the number H of the electric energy meters to be acquired and the total number X of the data items to be read by the electric energy meters through the meter files of the electric energy meters, the acquisition tasks and the acquisition schemesi(1 ≤i ≤H)；
After the electricity consumption information acquisition terminal runs for M periods, analyzing the statistical results of the data items and the electricity meter numbers which are failed to read;
the failure data list of each period of a certain electric energy meter in M periods is equal to the total number X of the data items of the electric energy meteriIf yes, confirming the fault and giving an alarm;
and confirming the fault and giving an alarm when a certain data item in each period of all the electric energy meters in the M periods has failure.
8. The dynamic intelligent meter reading method according to any one of claims 1 to 5, wherein in the step S1, the method further includes:
and carrying out carding sequencing on the electric energy meter data items acquired from the acquisition tasks and the schemes again, and combining the related data items into a whole data block.
9. A dynamic intelligent meter reading system is characterized by comprising: the device comprises a data item total time calculation module, a meter reading maximum waiting reply time calculation module, a meter reading module and a dynamic meter reading module;
the data item total number calculating module is used for establishing meter files, collecting tasks and collecting schemes of all the electric energy meters, and calculating the total number n of the electric energy meter data items needing to be read in the current period according to the collecting tasks and the collecting schemes;
the meter reading maximum waiting reply time calculation module is used for calculating the remaining time t of the period obtained from the task execution frequency2And the remaining number (n-i-j) of meter reading to obtain the maximum waiting reply time t of meter reading1；
The meter reading module is used for waiting for the maximum reply time t according to the meter reading1Reading each data item of the current electric energy meter, storing the data item which is successfully read into a successful data list, and storing the data item which is failed to read into a failed data list;
the dynamic meter reading module is used for re-estimating the maximum waiting reply time t of the meter reading according to the total number of the failure data list after each meter reading1Is T1And according to the re-estimated maximum waiting reply time T of the meter reading1And performing meter reading processing on the data items in the failure data list.
10. The dynamic intelligent meter reading system according to claim 9, further comprising an analysis and early warning module, configured to count data items and electricity meter numbers in the failure data list after each cycle of meter reading is completed, and analyze failure data items and electricity meter numbers in M cycles after M cycles of normal operation, so as to early warn a fault.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911312675.9A CN110992210B (en) | 2019-12-18 | 2019-12-18 | Dynamic intelligent meter reading method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911312675.9A CN110992210B (en) | 2019-12-18 | 2019-12-18 | Dynamic intelligent meter reading method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110992210A true CN110992210A (en) | 2020-04-10 |
| CN110992210B CN110992210B (en) | 2024-04-05 |
Family
ID=70095680
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911312675.9A Active CN110992210B (en) | 2019-12-18 | 2019-12-18 | Dynamic intelligent meter reading method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110992210B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112287003A (en) * | 2020-09-24 | 2021-01-29 | 杭州海兴电力科技股份有限公司 | Meter reading method and meter reading system |
| CN113393016A (en) * | 2021-04-29 | 2021-09-14 | 宁波三星医疗电气股份有限公司 | Meter reading method of electric power acquisition terminal |
| CN113391149A (en) * | 2021-06-10 | 2021-09-14 | 南方电网科学研究院有限责任公司 | Remote monitoring method and system for user load state of smart power grid |
| CN113596620A (en) * | 2021-06-30 | 2021-11-02 | 宁波三星医疗电气股份有限公司 | Quick judgment method for meter reading failure of intelligent power consumption terminal |
| CN115856422A (en) * | 2023-02-27 | 2023-03-28 | 中电装备山东电子有限公司 | Method and system for calculating demand of electric energy meter |
| CN118038656A (en) * | 2024-04-11 | 2024-05-14 | 江苏华鹏智能仪表科技股份有限公司 | Concentrator data acquisition method and concentrator |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20000001986A (en) * | 1998-06-16 | 2000-01-15 | 이종수 | Automatic meter reading method |
| US20070096765A1 (en) * | 2005-10-28 | 2007-05-03 | Electro Industries/Gauge Tech. | Bluetooth-enable intelligent electronic device |
| KR20110033569A (en) * | 2009-09-25 | 2011-03-31 | (주)유클릭 | Remote meter reading system and method thereof |
| US20140282550A1 (en) * | 2013-03-12 | 2014-09-18 | Itron, Inc. | Meter Reading Data Validation |
| CN105139609A (en) * | 2015-08-18 | 2015-12-09 | 江苏林洋电子股份有限公司 | Dynamic time-sharing meter copying-reading method |
| CN105788226A (en) * | 2016-03-17 | 2016-07-20 | 长沙瑞斯康通信技术有限公司 | Broadband carrier parallel meter reading method and broadband carrier parallel meter reading system |
| CN105809942A (en) * | 2016-03-17 | 2016-07-27 | 国家电网公司 | Data processing method and device for electricity information collection system |
| CN107833148A (en) * | 2017-09-25 | 2018-03-23 | 宁波三星医疗电气股份有限公司 | A kind of self-adapting data acquisition method of low-voltage collecting meter reading equipment |
| CN108447243A (en) * | 2018-04-09 | 2018-08-24 | 南通德高环境监测技术有限公司 | A kind of fast wireless meter register method based on LORA |
| CN108922157A (en) * | 2018-07-09 | 2018-11-30 | 深圳市科陆电子科技股份有限公司 | A kind of self study intelligent meter reading method and system |
| CN110504990A (en) * | 2019-09-27 | 2019-11-26 | 青岛联众智芯科技有限公司 | A kind of meter register method based on HPLC |
-
2019
- 2019-12-18 CN CN201911312675.9A patent/CN110992210B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20000001986A (en) * | 1998-06-16 | 2000-01-15 | 이종수 | Automatic meter reading method |
| US20070096765A1 (en) * | 2005-10-28 | 2007-05-03 | Electro Industries/Gauge Tech. | Bluetooth-enable intelligent electronic device |
| KR20110033569A (en) * | 2009-09-25 | 2011-03-31 | (주)유클릭 | Remote meter reading system and method thereof |
| US20140282550A1 (en) * | 2013-03-12 | 2014-09-18 | Itron, Inc. | Meter Reading Data Validation |
| CN105139609A (en) * | 2015-08-18 | 2015-12-09 | 江苏林洋电子股份有限公司 | Dynamic time-sharing meter copying-reading method |
| CN105788226A (en) * | 2016-03-17 | 2016-07-20 | 长沙瑞斯康通信技术有限公司 | Broadband carrier parallel meter reading method and broadband carrier parallel meter reading system |
| CN105809942A (en) * | 2016-03-17 | 2016-07-27 | 国家电网公司 | Data processing method and device for electricity information collection system |
| CN107833148A (en) * | 2017-09-25 | 2018-03-23 | 宁波三星医疗电气股份有限公司 | A kind of self-adapting data acquisition method of low-voltage collecting meter reading equipment |
| CN108447243A (en) * | 2018-04-09 | 2018-08-24 | 南通德高环境监测技术有限公司 | A kind of fast wireless meter register method based on LORA |
| CN108922157A (en) * | 2018-07-09 | 2018-11-30 | 深圳市科陆电子科技股份有限公司 | A kind of self study intelligent meter reading method and system |
| CN110504990A (en) * | 2019-09-27 | 2019-11-26 | 青岛联众智芯科技有限公司 | A kind of meter register method based on HPLC |
Non-Patent Citations (2)
| Title |
|---|
| J. ELLIOTT;EPIC SYSTEMS CORPORATION; J. ORDILLE;BELL LABS, LUCENT TECHNOLOGIES;: "Simple Nomenclator Query Protocol (SNQP)", IETF * |
| 王伊瑾;张文静;李亚南: "低压电力线载波抄表系统路由算法研究" * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112287003A (en) * | 2020-09-24 | 2021-01-29 | 杭州海兴电力科技股份有限公司 | Meter reading method and meter reading system |
| CN113393016A (en) * | 2021-04-29 | 2021-09-14 | 宁波三星医疗电气股份有限公司 | Meter reading method of electric power acquisition terminal |
| CN113391149A (en) * | 2021-06-10 | 2021-09-14 | 南方电网科学研究院有限责任公司 | Remote monitoring method and system for user load state of smart power grid |
| CN113596620A (en) * | 2021-06-30 | 2021-11-02 | 宁波三星医疗电气股份有限公司 | Quick judgment method for meter reading failure of intelligent power consumption terminal |
| CN113596620B (en) * | 2021-06-30 | 2023-05-23 | 宁波三星医疗电气股份有限公司 | Rapid judging method for meter reading failure of intelligent power utilization terminal |
| CN115856422A (en) * | 2023-02-27 | 2023-03-28 | 中电装备山东电子有限公司 | Method and system for calculating demand of electric energy meter |
| CN115856422B (en) * | 2023-02-27 | 2023-06-06 | 中电装备山东电子有限公司 | Electric energy meter demand amount calculating method and system |
| CN118038656A (en) * | 2024-04-11 | 2024-05-14 | 江苏华鹏智能仪表科技股份有限公司 | Concentrator data acquisition method and concentrator |
| CN118038656B (en) * | 2024-04-11 | 2024-07-02 | 江苏华鹏智能仪表科技股份有限公司 | Concentrator data acquisition method and concentrator |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110992210B (en) | 2024-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110992210A (en) | Dynamic intelligent meter reading method and system | |
| AU2022204116B2 (en) | Verification method for electrical grid measurement data | |
| CN111353911A (en) | Power equipment operation and maintenance method, system, equipment and storage medium | |
| CN101170454A (en) | A method and system for monitoring data collection and summary status | |
| CN109635950B (en) | Electric energy meter running state monitoring method based on genetic algorithm and community clustering | |
| CN113722311A (en) | Power distribution network power failure range positioning method, system, equipment and medium | |
| CN115766398B (en) | Station area electricity consumption information acquisition fault analysis system based on edge calculation | |
| CN107862459B (en) | Metering equipment state evaluation method and system based on big data | |
| CN108072858B (en) | Electric energy meter quality management method and system and terminal equipment | |
| CN204539486U (en) | A kind of subway line netter stream sample follow-up analysis system | |
| CN114355090A (en) | Line loss analysis method, device and equipment based on power topology information acquisition system | |
| CN113033617A (en) | Deep mining analysis method based on line loss data of big data transformer area | |
| CN115221215A (en) | Internet of things-based equipment state sensing system | |
| CN116166655B (en) | Big data cleaning system | |
| CN116720983A (en) | Power supply equipment abnormality detection method and system based on big data analysis | |
| CN110601214A (en) | Distribution network reactive voltage governance monitoring system | |
| CN108267709B (en) | Method and device for checking and classifying power failure | |
| CN109687592A (en) | Substation information display control method, device and electronic equipment | |
| CN115664007A (en) | Intelligent substation secondary circuit visualization and intelligent diagnosis system | |
| CN115453227A (en) | Method, device, equipment and readable storage medium for diagnosing faults of turnout switch machine | |
| CN113269478B (en) | Concentrator abnormal data reminding method and system based on multiple models | |
| CN115587635A (en) | Transformer area line loss analysis method and system based on neutral point deviation judgment | |
| CN114421617A (en) | Medium-voltage fault research and judgment method based on distribution network operation monitoring data | |
| CN114139706A (en) | Evaluation system of energy storage resource | |
| CN113537942A (en) | Method and system for increasing number of sample marks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |