KR20200131412A - Load profile management system and method thereof - Google Patents

Abstract

The present invention relates to a load profile management system and a method thereof. According to the present invention, the load profile management system comprises: a meter for generating and storing load profile information; and a data concentration processing device for receiving the load profile information from the meter. According to the present invention, it is possible to determine whether load profile information is omitted in a consistent method for all types of meters.

Description

Road profile management system and its method {LOAD PROFILE MANAGEMENT SYSTEM AND METHOD THEREOF}

The present invention relates to a system and method for managing a road profile, and more particularly, a load profile that collects and efficiently manages load profile information without omission in a data intensive processing device, and prevents redundant storage of load profile information. It relates to a management system and method.

As the power market shifts from the conventional power provider to power consumers, real-time acquisition of power consumption used by customers and efficient management of acquired information are becoming important.

To this end, a meter (watt-hour meter) that can create and store load profile information representing the amount of electricity consumed by customers, and load profile information of the meter (i) can be collected without omission, and (ii) can be efficiently managed. You need a Data Central Processing Unit (DCU).

With respect to (i), the prior art uses an index of road profile information (hereinafter, LP Index). Specifically, when the load profile information is generated in a meter and stored in memory, the index of the load profile information (hereinafter, LP Index ) Value is specified and the data concentration processing unit receives the LP Index value from the meter and determines whether the load profile information is missing.

Here, the LP Index may correspond to the order of the load profile information stored in the memory of the meter.

However, since the meter designates the LP Index value in the load profile information in various ways and in some cases designates the same LP Index value in different load profile information, the prior art omits the load profile information for any type of meter. You may not be able to determine whether or not.

Concerning with (ii), the prior art stores and manages the load profile information in order based on the LP Index value in the data intensive processing device. In some cases, the LP Index value may need to be updated frequently, so the LP Index value It is inefficient to store and manage road profile information based on.

For example, as an example of how to designate the LP Index value, when new load profile information is created in the meter and the LP Index value is designated, the previously designated LP Index value must be changed. In order to synchronize the index value, it is inefficient to store and manage the load profile information based on the LP index value because the LP index value of the already received load profile information must be changed whenever new load profile information is received.

In addition, since the prior art determines whether the load profile information is duplicated based on the LP Index value in the data intensive processing apparatus, the LP Index values are different from each other, but when the contents of the corresponding load profile information are the same, it cannot be determined as duplicate.

For example, when a plurality of road profile information is generated by resetting a meter, the LP index values specified in the load profile information may be different, but the contents of the corresponding road profile information may be the same. It is not possible to judge whether information is duplicated.

Looking at the prior art related to (i) is as follows.

Korean Patent Publication No. 10-2014-0056595 relates to an LP data meter reading method that prevents duplicate meter reading and omission of data, and the meter reading server stores LP (Load Profile) data stored in response to the first unique address by measuring through a power meter. Collecting, by the meter reading server, determining whether the first unique address corresponds to the next unique address of the second unique address, and storing the LP data collected by the meter reading server, wherein the second unique address is the most recent It is characterized in that it corresponds to LP data previously stored in the meter reading server.

In order to solve the above-described problem, embodiments of the present invention provide a meter for generating and storing load profile information measuring the power consumption of a customer at a predetermined cycle, and a data intensive processing for receiving load profile information from the meter. And a device, wherein the data intensive processing device uses a sort index calculated based on the generation time of the received load profile information to determine whether the load profile information is missing; and An object thereof is to provide a road profile management system and method comprising a storage unit for storing road profile information.

In addition, embodiments of the present invention are configured to include a meter for generating and storing load profile information measuring the power consumption of a customer at a predetermined cycle, and a data intensive processing device receiving load profile information from the meter. , The data intensive processing device is a unique ID generation unit that generates a unique ID for the load profile information based on the received content of the load profile information, and determines whether or not the load profile information is duplicated by comparing the generated unique ID. An object thereof is to provide a load profile management system and method comprising a redundant information determining unit and a storage unit for storing load profile information so as not to be duplicated.

In addition, in the embodiments of the present invention, the unique ID generation unit sets the hash value generated by combining the content of the load profile information and the sort index as the unique ID, and the sort index is based on the generation time of the load profile information. It is an object of the present invention to provide a road profile management system and method characterized in that it is calculated.

In addition, embodiments of the present invention provide a road profile management system and method, characterized in that the sort index corresponds to a value obtained by summing the difference between the time of the data concentration processing device and the time of the meter with the generation time of the load profile information. It has its purpose.

In addition, an object of the present invention is to provide a load profile management system and method characterized in that the storage unit stores the load profile information so that the load profile information is aligned based on the sort index.

An embodiment of the present invention for achieving the above object is a meter that generates and stores load profile information that measures the power consumption of a customer at a predetermined cycle, and a data intensive processing that receives load profile information from the meter. And a device, wherein the data intensive processing device uses a sort index calculated based on the generation time of the received load profile information to determine whether the load profile information is missing; and It provides a load profile management system comprising a storage unit for storing the load profile information.

In addition, another embodiment of the present invention for achieving the above object is a meter for generating and storing load profile information measuring the power consumption of a customer at a predetermined cycle, and a meter for receiving load profile information from the meter. Consisting of a data intensive processing device, the data intensive processing device is a unique ID generating unit that generates a unique ID for the road profile information based on the content of the received load profile information, by comparing the generated unique ID It provides a road profile management system comprising a redundant information determination unit that determines whether or not redundant load profile information is duplicated, and a storage unit that stores load profile information so as not to be duplicated.

In one embodiment, the unique ID generation unit sets a hash value generated by combining the content of the road profile information and a sort index as a unique ID, and the sort index is calculated based on the generation time of the road profile information. Can be.

In an embodiment, the sort index may correspond to a value obtained by summing a difference value between the time of the data concentration processing apparatus and the time of the meter with the generation time of the load profile information.

In one embodiment, the storage unit may store the load profile information so that the load profile information is aligned based on the sort index.

In addition, another embodiment of the present invention for achieving the above object is a load profile receiving step of receiving load profile information from a meter that generates and stores load profile information measuring the power consumption of customers, and the reception A unique ID generation step of generating a unique ID for the road profile information based on the content of one road profile information, a duplicate information determination step of determining whether or not the road profile information is duplicated by comparing the generated unique IDs, and loading so as not to overlap. It provides a load profile management method comprising a load profile storage step of storing profile information.

As described above, embodiments of the present invention include a meter for generating and storing load profile information measuring the power consumption of a customer at a predetermined cycle, and a data intensive processing device for receiving load profile information from the meter. And, the data intensive processing device uses a sort index calculated based on the generation time of the received load profile information to determine whether the load profile information is missing, and the load profile information. By providing a load profile management system and method comprising a storage unit to store, whether or not the load profile information is omitted in a consistent manner for all types of meters regardless of the type of meter and the method of identifying the load profile in the meter. Can be determined, and since the sort index is calculated by the data intensive processing device, it is not necessary to replace software of numerous meters to calculate the sort index, and thus can be easily implemented.

In addition, embodiments of the present invention are embodiments of the present invention, a meter that generates and stores load profile information that measures the power consumption of a customer at a predetermined cycle, and a data intensive processing that receives load profile information from the meter. And a device, wherein the data intensive processing device includes a unique ID generation unit that generates a unique ID for the load profile information based on the received load profile information, and load profile information by comparing the generated unique ID. By providing a road profile management system and method, characterized in that it includes a redundant information determination unit to determine whether or not to be redundant and a storage unit to store load profile information so as not to be duplicated, (i) the type of meter and the load profile from Regardless of the method of identification, a unique ID can be created in a consistent way for all kinds of meters, and (ii) it is possible to reduce the amount of storage space and data transmission by preventing overlapping storage of load profile information of the same content, (iii) Compare the unique ID generated based on the content of the road profile information without comparing the entire contents of the road profile information to determine whether or not to be duplicated, so the comparison calculation time can be reduced, and (iv) the unique ID is data intensive processing. Since it is generated by the device, it can be easily implemented since there is no need to replace the software of numerous meters to generate a unique ID.

In addition, in the embodiments of the present invention, the unique ID generation unit sets the hash value generated by combining the content of the load profile information and the sort index as the unique ID, and the sort index is based on the generation time of the load profile information. By providing a road profile management system and method characterized in that it is calculated, it is possible to easily and quickly perform comparison and search of a plurality of road profile information and to quickly generate a unique ID with a small data size.

In addition, embodiments of the present invention provide a road profile management system and method, characterized in that the sort index corresponds to a value obtained by summing the difference between the time of the data concentration processing device and the time of the meter with the generation time of the load profile information. By doing so, it is possible to directly compare the power usage of various meters by time based on the time of the data concentration processing device without time synchronization between the various meters, so that the load profile information by time can be efficiently stored and managed.

In addition, embodiments of the present invention provide a load profile management system and method characterized in that the storage unit stores the load profile information so that the load profile information is sorted based on the sort index, so that the LP Since there is no need to store and manage the index, there is no need to update the management information on the previously stored road profile information whenever new road profile information is received, so that the road profile information can be efficiently managed.

It is not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those of ordinary skill in the art from the following description.

1 is a diagram showing a load profile management system according to an embodiment of the present invention.
FIG. 2 is a diagram showing how an LP Index value is assigned in a P-type meter, and FIG. 3 is a view showing a method in which an LP Index value is designated in an E-type meter. FIG. 4 is a G-type or AE-type meter. It is a diagram showing how the LP Index value is assigned.
5 is a diagram showing a state in which remote meter reading is performed in the data intensive processing apparatus.
6 is a flow chart showing a load profile management method according to an embodiment of the present invention.

Since the description of the present invention is merely examples for structural or functional description, the scope of the present invention should not be construed as being limited by the embodiments described in the text. That is, since the present embodiments can be variously changed and have various forms, the scope of the present invention should be understood to include equivalents capable of realizing the technical idea.

In addition, since the object or effect presented in the present invention does not mean that a specific embodiment should include all of them or only those effects, the scope of the present invention should not be understood as being limited thereto.

In addition, the accompanying drawings are provided to aid in the understanding of the present invention, and provide embodiments together with a detailed description. However, the technical features of the present invention are not limited to a specific drawing, and features disclosed in each drawing may be combined with each other to constitute a new embodiment.

The load profile management system disclosed in the following embodiments will be described in more detail with reference to each drawing.

1 is a diagram showing a load profile management system according to an embodiment of the present invention.

Referring to FIG. 1, a load profile management system 10 according to an exemplary embodiment includes a plurality of meters 100 and a data intensive processing device 200.

The meter 100 may generate and store load profile information that measures the customer's power consumption at a predetermined cycle.

In addition, the meter 100 may transmit the load profile information to the data intensive processing apparatus 200 at each generation cycle of the load profile information or upon request. In this case, a wired network such as PLC (power line communication) or a wireless network such as Zigbee or Bluetooth may be used.

In addition, when the meter 100 generates the load profile information and stores it in a memory provided therein, an index (hereinafter, LP Index) value of the load profile information can be designated, and the load profile information is stored in the data intensive processing device 200. When transmitting, the corresponding (ie, designated) LP Index value can be transmitted together.

Here, the LP Index value may correspond to a sequence number or address for accessing the load profile information stored in the memory of the meter 100.

A conventional method in which the LP Index value is specified in the meter 100 will be described.

FIG. 2 is a diagram showing how an LP Index value is assigned in a P-type meter, and FIG. 3 is a view showing a method in which an LP Index value is designated in an E-type meter. FIG. 4 is a G-type or AE-type meter. It is a diagram showing how the LP Index value is assigned.

Referring to FIG. 2, in the P-type meter 100, an LP Index value that increases by 1 each time new road profile information is generated and stored is designated until the LP Index value reaches a maximum value.

Here, specifying that the LP Index value is increased by 1 may mean that the new load profile information is stored in a location immediately following the location of the most recently stored load profile information (location on the memory).

When the LP Index value specified in the road profile information reaches the maximum value, after that, whenever new road profile information is created and saved, the maximum value is designated as the LP Index value, and the LP for the previously saved road profile information All index values decrease by 1.

The reason why all LP Index values for the already stored road profile information decrease by 1 are as follows.

For example, only the number of load profile information corresponding to the maximum value (hereinafter, the maximum number) can be stored in the memory of the P-type meter 100, but the load profile information is generated in excess of the maximum number. In order to be newly stored in the memory, the load profile information stored the oldest must be overwritten, and if the maximum value is specified as the LP Index value for accessing the newly overwritten memory area, the previously saved load profile information The LP Index value to access is automatically decreased by 1.

3, in the E-type meter 100, regardless of whether the LP Index value becomes the maximum value, 1 is designated as the LP Index value whenever new road profile information is created and stored. All LP Index values for the saved road profile information increase by 1.

The reason why all LP Index values for the already saved road profile information increase by 1 are as follows.

For example, in the E-type meter 100, new load profile information is stored in a location immediately following the location of the most recently stored load profile information (location on the memory), and an LP Index value for accessing the newly saved memory area. If 1 is specified as 1, the LP Index value for accessing the previously stored road profile information automatically increases by 1.

Referring to FIG. 4, in the G-type or AE-type meter 100, the LP Index value increases by 1 each time new road profile information is created and stored until the LP Index value reaches the maximum value. When is specified and the LP Index value specified in the road profile information reaches the maximum value, the O_LP Index value, which increases by 1 each time new road profile information is created and stored, is designated from that point on.

Here, that the LP Index or O_LP Index value is designated by increasing by 1 may mean that the new load profile information is stored in a location immediately following the location of the most recently stored road profile information (a location on the memory).

On the other hand, after the O_LP Index value specified in the road profile information reaches the maximum value, when new road profile information is created and stored, the O_LP Index value is initialized and designated as 1, and after that, new road profile information is created. O_LP Index value that increases by 1 each time it is saved is designated.

Again, it looks at Figure 1.

The data intensive processing apparatus 200 includes a missing information determination unit 210, a unique ID generation unit 220, a duplicate information determination unit 230, a storage unit 240, a transmission/reception unit 250, and a control unit 260. It is composed by

The omission information determination unit 210 determines whether the load profile information is missing using a sort index calculated based on the generation time of the load profile information received from the meter 100 through the transmission/reception unit 250 can do.

Here, the generation time of the load profile information is the time of the meter 100 when the load profile information is generated by the meter 100 (that is, the generation time of the load profile information based on the time of the meter 100) It may correspond to and may be included in the road profile information.

In addition, here, the Sort Index is a concept in contrast to the LP Index described above, and is a value calculated by the data intensive processing device 200, not the meter 100, and, for example, the generation time of the road profile information (meter It may correspond to a value obtained by summing the difference between the current time of the data intensive processing apparatus 200 and the current time of the meter 100 to the generation time of the load profile information based on the time of (100).

That is, the sort index may correspond to the generation time of the load profile information based on the time of the data intensive processing apparatus 200.

At this time, the omission information determination unit 210 may transmit a message requesting to inform the meter 100 of the current time in order to find out the current time of the meter 100.

However, the omission information determination unit 210 is not limited in this way to calculate a sort index, but may be calculated or determined by other methods. For example, the omission information determination unit 210 may set the sort index as the generation time of the load profile information based on the time of the meter 100. That is, the omission information determination unit 210 may determine the generation time of the load profile information included in the load profile information as a sort index.

Referring to FIG. 5, a method of determining whether or not the load profile information is omitted.

5 is a diagram showing a state in which remote meter reading is performed in the data intensive processing apparatus.

Referring to FIG. 5, the data intensive processing device 200 performs meter reading remotely by receiving new load profile information from the meter 100 every meter reading period (15 minutes, 30 minutes, or 60 minutes). (200) received the newly created road profile information (p) in the n-2th meter reading cycle (measurement success), but in the n-1th meter reading cycle due to a network error, etc., newly created in the corresponding cycle (n-1). The load profile information (q) is not received (meter reading failure), and in the next cycle (nth meter reading cycle), the newly created load profile information (r) is received in the corresponding cycle (n).

At this time, a method by which the data intensive processing apparatus 200 can determine that q is missing by receiving r is as follows.

First, a conventional method using the LP Index described above will be described.

In the G-type or AE-type meter 100, as described above, when new road profile information is created and stored at each meter reading cycle, the LP Index value or O_LP Index value that increases by 1 is designated in the road profile information. Alternatively, the AE-type meter 100 transmits the load profile information and the designated LP Index and O_LP Index values to the data intensive processing unit 200 every meter reading cycle, and the data intensive processing unit 200 newly receiving this information is already Among the received and stored road profile information, the difference between the LP Index and O_LP Index values corresponding to the most recent load profile information (p) and the newly received LP Index and O_LP Index values (value corresponding to r) is compared and the difference is less than 1. If it is large, it can be determined that the road profile information is missing (q is missing).

For example, the LP Index value corresponding to the most recent load profile information among the load profile information already received by the data intensive processing unit 200 and stored in the data intensive processing unit 200 is 6, and the data intensive processing unit 200 If the newly received LP Index value is 9, the omission information determination unit 210 may determine that the road profile information corresponding to the LP Index value 7 and 8 is missing.

On the other hand, in the P-type meter 100, when the LP Index value specified in the load profile information reaches the maximum value, the maximum value is LP when new road profile information is created and stored from the meter reading period thereafter. Since it is designated as an index value, even if the data intensive processing unit 200 receives the LP index value from the P-type meter 100 every meter reading period, there is no difference in the LP index value, so the omission information determination unit 210 uses the LP index value. It cannot be determined whether the road profile information is missing.

In addition, even in the E-type meter 100, 1 is designated as the LP Index value when new load profile information is created and stored at each meter reading cycle, so that the data concentration processing unit 200 Even if the value is received, there is no difference in the LP Index value, so the omission information determination unit 210 cannot determine whether the road profile information is missing using the LP Index value.

As described above, when the conventional LP Index is used, it may not be possible to determine whether or not the load profile information is missing depending on the type of the meter 100, so that the data intensive processing device 200 is used for all types of meter 100. A new method is needed to determine whether the road profile information is missing.

As a new method, a method of the present invention using Sort Index will be described.

In the previous meter reading period, when the data intensive processing device 200 receives the load profile information p, the omission information determination unit 210 of the data intensive processing device 200 extracts or extracts from the received load profile information p By separately requesting the meter 100, the generation time of the road profile information p can be recognized, and a sort index is calculated according to the above-described method based on the generation time of the road profile information p, and the load profile information ( It can be stored in association with p).

In the new meter reading period, when the data intensive processing device 200 receives the new load profile information r, the missing information determination unit 210 of the data intensive processing device 200 sorts indexes in the same manner as in the previous meter reading period. Can be calculated, and the sort index value associated with the most recent load profile information (p) among the load profile information already received and stored is compared with the newly calculated sort index value (a value associated with r), and the difference is If it is greater than the value, it can be determined that the road profile information is missing (q is missing).

For example, the sort index value associated with the most recent load profile information among the load profile information already received by the data intensive processing unit 200 and stored in the storage unit 240 is 3 o'clock (03:00) and the data intensive processing unit If the sort index value newly calculated by the omission information determination unit 210 of (200) is 3:45 (03:45), the omission information determination unit 210 has a difference of 45 and the meter reading cycle (for example, 15 Minutes), so it can be determined that the road profile information is missing.

In this way, the omission information determination unit 210 determines whether or not the road profile information is omission using a sort index calculated based on the generation time of the road profile information, so that (i) the type of the meter 100 , Whether the load profile information is omitted in a consistent manner for all types of meters (including 100, P-type or E-type meters) regardless of the method of identifying the load profile in the meter 100 (eg, LP Index). Can be determined, and (ii) since the sort index is calculated by the data intensive processing device, it is not necessary to replace software of a number of meters to calculate the sort index, so it can be easily implemented.

The missing information determining unit 210 may request the meter 100 to transmit the missing road profile information when it is determined that the load profile information is missing.

In addition, the missing information determining unit 210 may associate the calculated sort index with the corresponding load profile information and transmit it to the unique ID generation unit 220 or the storage unit 240.

The unique ID generation unit 220 is a unique ID (unique ID) for the road profile information based on the content of the road profile information received from the meter 100 through the transmission/reception unit 250 or transmitted from the omission information determination unit 210. ) Can be generated, and the generated unique ID can be associated with the road profile information and transmitted to the redundant information determining unit 230 or the storage unit 240.

For example, the unique ID generation unit 220 may set a hash value generated by combining the content of the load profile information and the sort index as the unique ID.

Here, the content of the road profile information is a part or all of the data constituting the road profile information, and is a concept in contrast to the aforementioned LP Index, and the sort index is as described above.

However, the unique ID generation unit 220 is not limited in this way to generate the unique ID, but may generate or set the unique ID in other ways. For example, the unique ID generation unit 220 may set the generation time of the load profile information based on the time of the meter 100 as the unique ID. That is, the unique ID generation unit 220 may determine the generation time of the load profile information included in the road profile information as the unique ID.

Meanwhile, the unique ID generation unit 220 may generate a unique ID in different ways by distinguishing between the load profile information received by the periodic meter reading and the road profile information received by the omission meter reading. For example, for road profile information received by regular meter reading, a unique ID can be created by combining the content of the load profile information and the received time, and for the road profile information received by the omission meter reading, the content of the load profile information You can create a unique ID by combining and sort index.

Here, the load profile information received by regular meter reading means the load profile information received by the data intensive processing unit 200 every meter reading cycle, and the load profile information received by the missing meter reading refers to the transmission of the missing load profile information. It can mean the load profile information received according to the request.

In this way, the unique ID generation unit 220 generates a unique ID based on the content of the road profile information, so that (i) the unique ID is the type of the meter 100 and the method of identifying the load profile information in the meter 100 Regardless of (e.g., LP Index, index of the road profile), a unique ID of the road profile information can be generated in a consistent manner for various meters 100, and (ii) a unique ID is generated by the data intensive processing device. It can be easily implemented since there is no need to replace the software of numerous meters to create an ID.

In addition, the unique ID generation unit 220 sets the hash value generated by combining the content of the road profile information and the sort index as the unique ID, so that a plurality of road profile information can be compared and searched easily and quickly. And you can quickly create a unique ID with a small data size.

The redundant information determination unit 230 may receive the unique ID associated with the load profile information from the unique ID generation unit 220 and compare the unique IDs to determine whether the load profile information is duplicated.

For example, the load profile information in the meter 100 is newly created and stored once per meter reading cycle, as well as when the meter 100 is rebooted, the time of the meter 100 is initialized, or the time setting is changed. May be newly created and stored in the meter 100. In particular, in the case of the meter 100 whose time is initialized during reboot, load profile information of the same content may be duplicated and stored.

However, since the conventional meter 100 designates a new LP Index in the newly created and stored load profile information, even if the meter 100 is rebooted and the time is initialized, a plurality of load profile information of the same content is generated. Different LP indexes are assigned to each road profile information, and the conventional data intensive processing device that received the road profile information and the LP index determines whether or not to be redundant based on the LP index, so even if the content of the load profile information is the same, the corresponding LP It cannot be judged as duplicate because the index is different.

On the other hand, since the redundant information determination unit 230 compares the unique ID generated based on the contents of the road profile information to determine whether or not to be redundant, the contents of the road profile information are the same regardless of the LP index value. I can judge.

If the redundant information determining unit 230 determines that the contents of the plurality of load profile information are the same, only one of them may be stored in the storage unit 240.

In this way, the redundant information determination unit 230 compares the unique ID to determine whether the load profile information is redundant, so that (i) the load profile information of the same content is prevented from being stored redundantly, thereby reducing storage space and data transmission amount. And (ii) it does not compare the entire contents of the road profile information, but compares the unique ID generated based on the contents of the load profile information, so that the comparison operation time can be reduced.

The storage unit 240 can store and manage the load profile information, and the load profile information associated with the sort index or the unique ID received in association with the road profile information from the missing information determination unit 210 and the unique ID generation unit 220 Can be saved with.

In addition, the storage unit 240 receives the unique ID of the redundant road profile information from the redundancy determination unit 230 and stores only one road profile information associated with the received unique ID, so that the load profile information is not duplicated. I can.

In addition, the storage unit 240 may store the load profile information so that the load profile information is aligned based on the sort index. Here, the sort index is as described above.

In this way, the storage unit 240 stores the load profile information so that the load profile information is aligned based on the sort index, thereby storing and managing the load profile information to correspond to the order of the load profile information stored in the memory of the meter 100. Because it can be done, the road profile information can be efficiently managed.

Meanwhile, as described above, when the P-type and E-type meter 100 generates and stores new road profile information, the LP index value of the previously stored road profile information can be automatically decreased or increased by one. The conventional data intensive processing device using the LP index needs to be managed so that the meter 100 and the LP index value are kept the same in order to prevent duplication or omission of the load profile information, so the conventional data intensive processing device It is frequently required to decrease or increase all LP Index values by 1 and store them.

However, since the storage unit 240 manages the load profile information based on the sort index, there is no need to store and manage the LP index unlike the conventional data intensive processing device, so whenever new load profile information is received, the existing Since there is no need to update the management information for the saved road profile information, the road profile information can be efficiently managed.

Meanwhile, the sort index may correspond to the generation time of the load profile information based on the time of the data intensive processing device 200 as described above. In this case, the storage unit 240 includes several meters 100 It is possible to directly compare the power usage by time of the various meters 100 based on the time of the data intensive processing device 200 without time synchronization between them, so that the load profile information can be efficiently stored and managed by time.

The transmission/reception unit 250 may receive the load profile information from the meter 100 and transmit it to the missing information determination unit 210 or the unique ID generation unit 220, and transmit the missing load profile information from the missing information determination unit 210. Information requesting to be transmitted may be received and transmitted to the meter 100.

The control unit 260 controls the overall operation of the load profile management system 10, and includes a missing information determination unit 210, a unique ID generation unit 220, a redundant information determination unit 230, a storage unit 240, and transmission/reception. A control flow or data flow between the units 250 may be controlled.

6 is a flow chart showing a load profile management method according to an embodiment of the present invention.

6, the load profile management method 300 according to an embodiment includes a load profile information receiving step (S310), missing information determination step (S320), a unique ID generation step (S330), duplicate information determination step (S340). ) And load profile information storage step (S350).

In the load profile information receiving step (S310), the data intensive processing apparatus 200 may receive the load profile information from the meter 100.

In the missing information determination step (S320), the data intensive processing device 200 uses a sort index calculated based on the generation time of the load profile information received in the load profile information receiving step (S310) You can determine whether or not information is missing.

Specifically, in the previous meter reading period, when the data intensive processing device 200 receives the load profile information, the data intensive processing device 200 extracts from the received load profile information or requests the meter 100 separately to provide a load profile. The generation time of the information can be recognized, and a sort index may be calculated according to the above-described method based on the generation time of the road profile information, and associated with the road profile information and stored.

In a new meter reading period, when the data intensive processing device 200 receives new load profile information, the data intensive processing device 200 can calculate the sort index in the same manner as in the previous meter reading period, and loads that have already been received and stored Among the profile information, the sort index value associated with the most recent load profile information is compared with the newly calculated sort index value, and if the difference is greater than the value of the meter reading period, it may be determined that the load profile information is missing.

In the unique ID generation step (S330), the data intensive processing device 200 may generate a unique ID (unique ID) for the road profile information based on the content of the road profile information received in the load profile information receiving step (S310). And the generated unique ID can be associated with the road profile information.

For example, the data intensive processing apparatus 200 may set a hash value generated by combining the content of the load profile information and the sort index as the unique ID.

In the redundant information determination step S340, the data intensive processing apparatus 200 may compare the generated unique ID to determine whether the load profile information is redundant.

In the load profile information storage step (S350), the data intensive processing device 200 may store and manage the load profile information, and the sort index calculated or generated in the missing information determination step (S320) and the unique ID generation step (S330) Alternatively, the unique ID can be stored together with the associated road profile information.

In addition, the data intensive processing apparatus 200 may store only one load profile information associated with the unique ID determined to be duplicated in the redundant information determination step S340 so that the load profile information is not duplicated.

In addition, the data intensive processing apparatus 200 may store the load profile information so that the load profile information is sorted based on the sort index.

As described above, although it has been described with reference to the preferred embodiments of the present application, those skilled in the art will variously modify the present application within the scope not departing from the spirit and scope of the present invention described in the following claims. And it will be appreciated that it can be changed.

10: Road profile management system
100: meter
200: data intensive processing device
210: omission information judgment unit 220: unique ID generation unit
230: duplicate information determination unit 240: storage unit
250: transceiver 260: control unit
300: Road profile management method

Claims (6)

A meter for generating and storing load profile information measuring the electric power consumption of a customer at a predetermined period; And
And a data concentration processing device for receiving load profile information from the meter,
The data intensive processing unit uses a sort index calculated based on the generation time of the received road profile information to determine whether or not the road profile information is missing, and a storage for storing the load profile information. Road profile management system comprising a unit.
A meter for generating and storing load profile information measuring the electric power consumption of a customer at a predetermined period; And
And a data concentration processing device for receiving load profile information from the meter,
The data intensive processing unit is a unique ID generating unit that generates a unique ID for the load profile information based on the content of the received load profile information, and a duplicate that determines whether or not the load profile information is duplicated by comparing the generated unique ID. A load profile management system comprising an information determination unit and a storage unit for storing load profile information so as not to be duplicated.
The method of claim 2,
The unique ID generation unit sets a hash value generated by combining the content of the load profile information and a sort index as a unique ID, and the sort index is calculated based on the generation time of the load profile information. Road profile management system.
The method according to claim 1 or 3,
The sort index corresponds to a value obtained by summing a difference value between the time of the data central processing device and the time of the meter with the generation time of the load profile information.
The method according to claim 1 or 3,
And the storage unit stores load profile information such that the load profile information is aligned based on the sort index.
A load profile receiving step of receiving load profile information from a meter that generates and stores load profile information measuring the power consumption of the customer;
A unique ID generating step of generating a unique ID for the road profile information based on the received content of the road profile information;
A redundant information determination step of comparing the generated unique IDs to determine whether the load profile information is redundant; And
A load profile management method comprising the step of storing the load profile information so as not to be duplicated.

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