CN210605800U

CN210605800U - Energy management system

Info

Publication number: CN210605800U
Application number: CN201921287136.XU
Authority: CN
Inventors: 赵子逸; 赵勇
Original assignee: SAIC General Motors Corp Ltd
Current assignee: SAIC General Motors Corp Ltd
Priority date: 2019-08-09
Filing date: 2019-08-09
Publication date: 2020-05-22
Anticipated expiration: 2029-08-09

Abstract

The utility model relates to an energy management system, which comprises one or more intelligent electric meters; one or more first servers; a plurality of Programmable Logic Controllers (PLCs) coupled between one or more smart meters and a first server corresponding to the PLCs, wherein PLCs are configured to collect device status data and transmit the device status data and energy index data from the smart meters to the first server corresponding to the PLCs; and a second server coupled to the one or more first servers and configured to process data from the one or more first servers.

Description

Energy management system

Technical Field

The utility model relates to an energy management, more specifically, the utility model relates to an energy management system.

Background

With the improvement of the fine management requirements, the manager of the equipment tends to know the actual energy consumption conditions of the equipment in different operation states. Meanwhile, in order to promote fine management, the energy consumption of the equipment needs to be measured, analyzed and adjusted in combination with the operation condition of the equipment. In some large-scale industrial enterprise production environments, this process often involves massive data scale and fast data flow.

However, the existing energy management system generally collects and manages the power consumption of the device only through the time dimension, and cannot be combined with the actual operation state of the device.

SUMMERY OF THE UTILITY MODEL

Therefore, there is a need for an energy management system that can analyze the energy consumption data of the device in combination with the current operation state of the device, so as to finely manage the energy consumption of the device.

To achieve one or more of the above objects, the present invention provides the following technical solutions.

According to the utility model discloses a first aspect provides an energy management system, and it includes: one or more smart meters; one or more first servers; a plurality of Programmable Logic Controllers (PLCs) coupled between one or more smart meters and a first server to which the PLCs correspond, wherein the PLCs are configured to collect the device status data and send the device status data and the energy index data from the smart meters to the first server to which the PLCs correspond; and a second server coupled to the one or more first servers and configured to process data from the one or more first servers.

According to the utility model discloses an energy management system of embodiment, wherein, equipment state data includes one or more in the following project: equipment energy consumption data, equipment yield data, and equipment operating state data.

According to the utility model discloses an embodiment or above any embodiment's energy management system, wherein, the energy index data that comes from the smart electric meter include one or more in the following project: power, current, voltage, current imbalance, and voltage imbalance.

According to the utility model discloses an embodiment or the energy management system of any preceding embodiment, wherein, PLC still configures to before sending equipment state data and energy index data to one or more first servers, unifies the timing of equipment state data and energy index data.

According to the utility model discloses an embodiment or the energy management system of any preceding embodiment, wherein, the second server provides one or both in Spark big data platform and the Hadoop big data platform.

According to the utility model discloses an embodiment or the energy management system of any preceding embodiment, wherein, first server sets up respectively near one or more PLC that correspond with first server.

According to the utility model discloses an embodiment or the energy management system of any preceding embodiment, wherein, first server has the cache function.

The energy management system of an embodiment or any embodiment above, wherein the second server is further configured to selectively perform one or more of gathering, sorting, cleaning, and normalizing the data from the first server.

According to the utility model discloses an energy management system of an embodiment or any of the above embodiment, it still includes the object connection and embedding (OPC) data acquisition module that is used for process control, OPC data acquisition module is configured to carry out the communication between the first server that PLC and PLC correspond.

According to the utility model discloses an energy management system of embodiment or any of the above embodiment, it still includes the display module, and the display module is configured to show the processed data that comes from the second server to the user.

Drawings

The above and/or other aspects and advantages of the present invention will become more apparent and more readily appreciated from the following description of the various aspects, taken in conjunction with the accompanying drawings, in which like or similar elements are designated with like reference numerals. The drawings comprise:

fig. 1 is a schematic structural diagram of an energy management system according to an embodiment of the present invention.

Detailed Description

In the present description, the present invention is described more fully with reference to the accompanying drawings, in which exemplary embodiments of the invention are shown. The present invention may, however, be embodied in different forms and should not be construed as limited to the embodiments set forth herein. The embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

Words such as "comprising" and "comprises" mean that, in addition to having elements and steps which are directly and unequivocally stated in the description and the claims, the technical solution of the present invention does not exclude other elements and steps which are not directly or unequivocally stated. Terms such as "first" and "second" do not denote an order of the elements in time, space, size, etc., but rather are used to distinguish one element from another.

An energy management system 100 according to an embodiment of the invention is described below with reference to fig. 1. The energy management system 100 includes one or more smartmeters 110 and one or more first servers 130. In one embodiment, the smart meter 110 may be a Siemens PAC3200/4200 series smart meter. The smart meter 110 can acquire high-level energy indicators such as current imbalance and voltage imbalance in addition to conventional energy indicators (e.g., energy consumption, power, current, voltage, etc.). More specifically, in one embodiment, the energy indicator data that the smart meter 110 may collect includes: one or more of total apparent energy consumption, total active energy consumption, total reactive energy consumption, three-wire current, three-phase voltage, total apparent power, total active power, total reactive power, three-wire current imbalance and three-phase voltage imbalance.

Energy management system 100 also includes a plurality of Programmable Logic Controllers (PLCs) 120, where PLCs 120 are coupled between one or more smart meters and a first server corresponding to PLCs 120. Therefore, the energy index data collected by the smart meter 110 is not directly transmitted to the first server 130, but is first transmitted to the PLC120, and then the PLC120 transmits the summarized data to the first server 130. Wherein PLC120 is further configured to collect the equipment status data and send the equipment status data it collects and the energy indicator data from smart meter 110 to a first server 130 corresponding to PLC 120. The device status data includes one or more of the following items: equipment energy consumption data, equipment yield data, and equipment operating state data. In one embodiment, PLC120 is further configured to unify the timing of the device status data with the energy indicator data prior to sending the data to the one or more first servers 130. For example, the same time marking is carried out on the equipment state data and the energy index data at the same time, so that the data can be processed with higher system precision.

First servers 130 are respectively disposed proximate to one or more PLCs 120 corresponding to the first servers. By adopting a mode of nearby arrangement, errors such as data delay, data packet loss and the like caused by cross-region acquisition can be avoided to a certain extent. First server 130 is configured to send data received from PLC120 through a data Application Programming Interface (API) to a second server 140, which will be described below. In one embodiment, the first server 130 also has a caching function. The first server 130 can store data therein when the data API fails or is unstable, and, after the data API is restored to normal, for example, automatically retransmit the buffered data, thereby ensuring the integrity of the data.

Although only a certain number of the first server 130, the PLC120, the smart meter 110, and the like are illustrated in fig. 1, it should be understood that the number of these electronic devices may vary as the case may be. And the number of PLCs 120 connected to a first server 130 and the number of smart meters 110 connected to a PLC120 may also be configured as needed, not just the arrangement shown in the figure.

The second server 140 is coupled to the one or more first servers 130 and is configured to process data from the one or more first servers 130. The second server 140 is also configured to provide a platform including one or both of a Spark big data platform and a Hadoop big data platform. The big data described herein has the meaning commonly understood by those skilled in the art, which has the characteristics of massive data scale, fast data flow, diverse data types, low value density. And mass data can be stored and processed through the big data platform, so that the requirement of large-scale production and manufacturing enterprises on equipment energy management is met. In one embodiment, the second server 140 persistently stores the data from the first server 130 to ensure the integrity and accuracy of the data. The second server 140 may also be configured to employ techniques capable of supporting high concurrency (e.g., big data techniques) to selectively perform one or more of summarization, classification, cleansing, normalization, and/or the like on data from the first server 130 (e.g., according to a particular computational formula). Optionally, the second server 140 may perform different analyses and calculations according to the service requirements, thereby providing the display module 150 with the data format required for presentation to the user.

By comprehensively analyzing the collected equipment state data, the energy index data and other data, whether the energy consumption performance of the equipment in different states meets the preset requirements can be judged, and therefore the condition that the running state of the equipment cannot be accurately evaluated under the condition that only single energy consumption data is collected is avoided. For example, according to the output data of the equipment, whether the energy consumed by the equipment for completing one processing process meets the set energy consumption standard can be determined, so that the condition that the average value of the power consumption of the equipment in a certain period of time can be obtained only under the condition of acquiring single energy consumption data is avoided. If the energy consumption of the equipment is obviously inconsistent or abnormal with the corresponding working state, the equipment can be overhauled and maintained in time. Therefore, the device is beneficial to realizing refinement and accurate improvement of equipment energy management.

The energy management system 100 further comprises a display module 150, said display module 150 being configured to present the processed data from the second server 140 to a user. In one embodiment, the display module 150 includes a device comprehensive energy consumption display sub-module, a device state energy consumption display sub-module, a device output energy consumption display sub-module, a device state output comprehensive analysis display sub-module, a device energy data alarm display sub-module, a device output data display sub-module, a device energy consumption condition comparison display sub-module, a device non-production day energy consumption display sub-module, and other display sub-modules. The display module 150 may also be an input device like a touch panel, which may provide a setting interface that allows an operator to set basic information of the device, set standard individual energy consumption, set standard non-production day energy consumption, set standard value of a payment rate, and the like, and an authority management interface that authenticates the identity of the operator, and the like.

In one embodiment, system 100 further includes an automated bus standard Profinet (shown as a polyline between each PLC120 and smart meter 110 in fig. 1) and an object connection and embedding (OPC) data collection module for process control (shown as a polyline between each PLC120 and first server 130 in fig. 1). Wherein, the smart meter 110 communicates with the PLC120 via Profinet, and the PLC120 communicates with the first server 130 via the OPC data collection module. The OPC data collection module collects data from the PLC120 (e.g., at a certain frequency), and pushes the data from the PLC120 to an upper layer (in fig. 1) in real time, and the OPC data collection module may have a certain data caching capability, so that in the case of network fluctuation, data that cannot be sent upwards temporarily may be cached locally, and the data may be sent again after the network is recovered to normal, thereby ensuring the integrity and accuracy of the data.

The data flow in the energy management system 100 according to an embodiment of the invention is further described below. After the field devices (including the smart meter 110 and the PLC 120) collect the data, the data is pushed to the Hbase database (a distributed column-oriented open source database) in the big data platform through Kafka (an open source streaming processing platform), and the Hbase database is permanently stored after receiving the data. For energy consumption data which do not need to be subjected to complex operation, directly pushing the energy consumption data to a time sequence class display submodule in a display module through a time sequence space database (TSDB); and for energy consumption data needing to be calculated to a certain extent, the Hbase and configuration data needing to participate in calculation in the KUDU in the big data platform are comprehensively calculated together to complete data processing. This portion of data is then pushed to the analysis class display submodule in the display module.

In one embodiment, Kafka has a data caching function, so that Kafka can cache data before HBase has not read energy consumption data uploaded by the field device. In another embodiment, because the TSDB is particularly suitable for processing time series data, the data required by the time series display submodule does not need to undergo complex data processing, but can be displayed by simply summarizing the data directly through the TSDB.

In one embodiment, the source of configuration data in the KUDU that needs to participate in the computation is detailed as follows: the user sets certain data via the input device to generate and store system configuration data to a database (e.g., an Oracle database). And when the Oracle database changes, storing the updated data into the KUDU through the synchronization API. That is, the system configuration data generated by the input device is eventually synchronized to the KUDU in real time. When Hbase needs this part of the data to calculate, it is convenient to obtain the latest system configuration data. In another embodiment, when the Oracle database changes, the synchronization API should be actively called to incrementally synchronize the updated data to the KUDU, instead of using the KUDU to check whether the data in the Oracle database is updated, in this way, the system load can be effectively reduced.

In one embodiment, a KUDU may be selected for storage of system configuration data in a big data platform because the configuration data may change frequently, thereby requiring a database to be selected that is suitable for the update operation.

The embodiments and examples set forth herein are presented to best explain the embodiments in accordance with the present technology and its particular application and to thereby enable those skilled in the art to make and use the invention. However, those skilled in the art will recognize that the foregoing description and examples have been presented for the purpose of illustration and example only. The description as set forth is not intended to cover the various aspects of the invention or to limit the invention to the precise form disclosed.

Claims

1. An energy management system, comprising:

one or more smart meters;

one or more first servers;

a plurality of Programmable Logic Controllers (PLCs) coupled between the one or more smart meters and the first server to which the PLCs correspond, wherein the PLCs are configured to collect device status data and send the device status data and energy indicator data from the smart meters to the first server to which the PLCs correspond; and

a second server coupled to the one or more first servers and configured to process data from the one or more first servers.

2. The energy management system of claim 1, wherein the device status data comprises one or more of: equipment energy consumption data, equipment yield data, and equipment operating state data.

3. The energy management system of claim 1, wherein the energy indicator data from the smart meter comprises one or more of: power, current, voltage, current imbalance, and voltage imbalance.

4. The energy management system of any of claims 1-3, wherein the PLC is further configured to unify timing of the device status data and the energy index data prior to transmitting the device status data and the energy index data to the one or more first servers.

5. The energy management system of claim 4, wherein the second server provides one or both of a Spark big data platform and a Hadoop big data platform.

6. The energy management system of claim 5, wherein the first servers are respectively disposed proximate to one or more PLCs corresponding to the first servers.

7. The energy management system of claim 5, wherein the first server has a caching function.

8. The energy management system of claim 7, wherein the second server is further configured to selectively perform one or more of aggregation, classification, cleansing, and normalization of data from the first server.

9. The energy management system of claim 8, further comprising an object connection and embedded OPC data collection module for process control configured to communicate between the PLC and the first server corresponding to the PLC.

10. The energy management system of claim 8 or 9, further comprising a display module configured to present the processed data from the second server to a user.