KR20160022714A - Reading scheduling method in consideration of communication capability and time information of meters - Google Patents

Abstract

According to the present invention, a method to schedule metering considering communication performance and time information of meters includes: a first process of extracting target meters by using a data concentration unit (DCU), and obtaining current time information of each of the extracted meters; a second process of predicting an available time of each of the meters based on a metering data generation time of the extracted meters; a third process of correcting the available time by applying a transmission consumption time and a transmission delay time of each of the meters according to the size of the metering data and the communication performance of the extracted meters; a fourth process of grouping the extracted meters according to a simultaneous processing number, and correcting the available time of the grouped meters; and a fifth process of writing metering-scheduling, and reading the meters according to the metering-scheduling.

Description

TECHNICAL FIELD The present invention relates to a scheduling method and a scheduling method,

The present invention relates to a meter reading scheduling method that considers time information and communication performance of meters. More particularly, the present invention relates to a meter reading scheduling method that acquires time information of meters to be measured before meter reading, It is possible to improve the reliability of the metering network by minimizing the occurrence of additional traffic required for metering by not only preventing meter dropout due to the time information error of the meters by determining the optimum metering scheduling in anticipation of the generation time, And to a metering scheduling method considering information and communication performance.

Remote meter reading refers to the reading of meter reading data from a remote place without visiting the customer, such as electricity, gas, water meter, etc., and the remote meter reading system reads the indication of the meter located at the remote place and the detected information by the detector, Or automatically collected through a communication line using radio waves and analyzed by a computer.

Such a raw blood probe system collects information by a telephone line, a power line, or a radio frequency method, and can connect with a computer program through an automatic meter reading system to not only issue bills but also grasp demand patterns.

However, the conventional remote meter reading system collects data at random (such as meter manufacture number or meter installation order) (see FIG. 3A) with meters to be inspected in a data concentrator (DCU) Time or remotely set time, and each meter has a different error range. As time goes by, more time errors occur between the meter and the data concentrator (DCU).

As a result, when collecting data in the data concentrator (DCU) by the inspection cycle, there is a situation where data to be generated within the cycle can not be generated due to a time error with the meter. This is because data management due to lack of timeliness And the problem of judging the success rate of metering.

Also, in order to increase the timeliness of the meter reading data, it is necessary to perform the meter reading again for the meters which have not collected the data, thereby increasing the meter reading network traffic, thereby adversely affecting the communication stability of the meter reading network, There is a problem that the number is limited.

Korean Patent Publication No. 10-2014-0056595

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide an apparatus and a method for acquiring time information of meters to be metered before meter reading, The present invention also provides a meter reading scheduling method considering the time information and communication performance of the meters, which can improve the reliability of the meter reading network by minimizing the occurrence of additional traffic required for meter reading as well as preventing meter reading from being missed by time information errors of the meters .

According to another aspect of the present invention, there is provided a method of scheduling metrics considering time information and communication performance of a meter, the method comprising: extracting metering target meters by a data concentrator (DCU) A first step of acquiring information; A second step of predicting the meterable time of each meter based on the meter reading data generation time of the extracted meters; A third step of correcting the meterable time by reflecting the respective transmission delay time and transmission time according to the communication performance of the extracted meters and the meter reading data size; A fourth step of grouping the extracted meters according to the number of simultaneous processes and correcting the meterable time of the grouped meters; And a fifth step of preparing meter reading scheduling and performing meter reading of the meters according to the meter reading scheduling.

The present invention has the technical effect of not only preventing omissions due to time information errors of the meters but also minimizing the generation of additional traffic required for meter reading, thereby improving the reliability of the meter reading network.

1 shows a basic configuration of an automatic meter reading system according to the present invention.
FIG. 2 is a flowchart illustrating a meter reading scheduling method considering time information and communication performance of meters according to the present invention.
FIG. 3A shows an example in which missing data is present in some meters when meter reading is performed according to the order of the meters according to the prior art.
FIG. 3B illustrates the time condition of each meter sorted in time order to illustrate the meter reading scheduling method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

1 shows a basic configuration of an automatic meter reading system according to the present invention.

Referring to FIG. 1, an automatic meter reading system 100 according to the present invention includes a meter 110, a data concentrator 120, and an automatic meter reading server 130.

The meter unit 110 includes a plurality of first meters 111 to n-meters 110 installed in the respective receivers to measure and store the energy consumption of the customer and to measure the meter reading data to the DCU 120 In this case, each of the first to n-th meters 111 to 110 has different meter times as shown in Fig.

The data concentrator (DCU) 120 collects meter reading data from each of the first meter 111 to the n-th meter 110 and transmits it to the remote meter reading server 130.

The remote meter reading server 130 manages the configuration information of the meter unit 110 and the data concentrator (DCU) 120, and finally acquires, stores and processes the meter reading data, and uses the power of each customer Provide information to the user.

FIG. 2 is a flowchart of a meter reading scheduling method considering time information and communication performance of meters according to the present invention. FIG. 3a is a flowchart illustrating a meter reading scheduling method according to the related art, FIG. 3B is a diagram illustrating a time condition of each meter sorted in chronological order in order to explain a meter reading scheduling method according to an embodiment of the present invention.

Hereinafter, a detection scheduling method considering time information and communication performance of the meter according to the present invention will be described with reference to FIGS. 2, 3A, and 3B.

First, the data concentration device (DCU) 120 has a first step (S10) of extracting a meter to be measured and acquiring current time information of each of the extracted meters.

For example, as shown in FIG. 3A, the current time of the first meter 111 is 0:16, the current time of the second meter 112 is 0:17, the current time of the third meter 113 is The current time of the data concentrator 120 is 0:15 and the current time of the fourth meter 114 is 0:15. In this case, the current time of the data concentrator 120 is 0:15, It is assumed that the meter reading data collection period of the DCU 120 and the meter reading data generation periods of the first to fourth meters 111 to 114 are all equal to 15 minutes.

Next, the data concentrator (DCU) 120 has a second step S20 of performing sorting on the extracted meters in the order of the current time information of the meters.

For example, if the current time is arranged in descending order with respect to the first to fourth meters 111 to 114, the second meter (0:17) -> first meter (0:16) -> fourth meter (0:15) -> third meter (0:13).

Next, the data concentration device (DCU) 120 has a third step (S30) of predicting the meterable time of each meter based on the meter reading data generation time.

For example, as shown in FIG. 3B, the first acquisition cycle of the data concentrator (DCU) 120 is 0:15, so the second meter (generated two minutes ago) -> the first meter (generated one minute ago) -> fourth meter (currently generated) -> third meter (not generated).

Therefore, it is possible to estimate the meterable time for each meter by applying the data generation time predicted for each meter.

For example, the second meter (S0 +?) -> the first meter (S0 +? + 1 minute) -> the fourth meter (S0 +? +2 minutes) Minute), it is possible to estimate the meterable time for each meter.

In this case, S0 is set to 15 minutes as the initial start time, and DELTA can be set according to the situation with a predetermined allowance time.

Next, the data concentrator (DCU) 120 performs a fourth step S40 of correcting the meterable time by reflecting the respective transmission delay time and transmission time according to the communication performance of each meter and the meter reading data size .

for example,

The start time (S2) of the second meter = S0 + DELTA

The start time S1 of the first meter = MAX (S0 +? + 1 minute, S2 + T1 + T2)

The start time S4 of the fourth meter = MAX (S0 +? + 2 minutes, S1 + T1 + T2)

The start time S3 of the third meter = MAX (S0 +? + 4 minutes, S4 + T1 + T2)

T1 is the data transmission delay time measured according to the communication performance before the start of the cycle, T2 is the transmission time calculated according to the measurement data size before the start of the cycle, and MAX (A, B) is the maximum value of A and B It means to select.

Next, the data concentration device (DCU) 120 performs a fifth process (S50) of grouping according to the number of simultaneous processes according to the communication performance of each meter and correcting the meterable time of the grouped meters, Respectively.

For example, in the case of dividing the meter group into two (2, 4) and (1, 3) in consideration of the simultaneous data processing number (N)

     Since the start time S2 of the second meter = S0 +?,

     The meter start time is set as the start time S4 of the fourth meter = MAX (S0 +? + 2 minutes, S2 + T1 + T2)

Since the start time (S1) of the first meter = S0 + [Delta] + 1 minute,

The meter start time is set as the start time S3 of the third meter = MAX (S0 + DELTA + 4 minutes, S1 + T1 + T2).

On the other hand, in setting the meter reading start time, it goes without saying that the order of the criteria, the combination, and the detailed calculation method can be modified into various forms.

Next, there is a sixth step (S60) of preparing a metering scheduling for each meter to actually perform metering.

Next, there is a seventh step (S70) of performing meter reading on each meter in accordance with the meter reading scheduling.

Next, there is an eighth process (S80) for judging whether all the meter reading operations for the meter reading meters have succeeded.

Next, if it is determined that all of the meters read in the eighth process S80 have succeeded (Yes), the meter reading process is terminated. If it is determined that all meters read in the eighth process (S80) (No), and a ninth step (S90) of extracting the meter of the object to be re-inspected.

Next, the data concentrator (DCU) 120 has a tenth step (S95) of predicting the meterable time in consideration of the re-meter data size, communication performance, the number of simultaneous processes, and the like.

In this case, the schemes described in the fourth process S40 and the fifth process S50 may be similarly applied.

Finally, the metering scheduling is created based on the meterable time predicted in the tenth step (S95) (S60), the meter reading is performed (S70), and the process of determining whether the meter reading is successful is repeated .

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit of the invention.

110:
111 to 11n: first to n-th meters
120: Data Concentrator (DCU)
130: Remote meter reading server

Claims (2)

A first step of extracting the meters to be measured by the data concentrator (DCU) and acquiring current time information of each of the extracted meters;
A second step of predicting the meterable time of each meter based on the meter reading data generation time of the extracted meters;
A third step of correcting the meterable time by reflecting the respective transmission delay time and transmission time according to the communication performance of the extracted meters and the meter reading data size;
A fourth step of grouping the extracted meters according to the number of simultaneous processes and correcting the meterable time of the grouped meters; And
And a fifth step of preparing meter reading scheduling and performing meter reading of the meters according to the meter reading scheduling, wherein the meter reading scheduling method considers time information and communication performance of the meters. The method according to claim 1,
After the fifth step, it is determined whether the metered meters are successful or not,
Further comprising a sixth step of applying the third step and the fourth step to unsuccessful meters, wherein the third step and the fourth step are applied to the meters.

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