CN117977815A - Electric energy metering and collecting system with electricity consumption prediction function - Google Patents

Electric energy metering and collecting system with electricity consumption prediction function Download PDF

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CN117977815A
CN117977815A CN202410370213.7A CN202410370213A CN117977815A CN 117977815 A CN117977815 A CN 117977815A CN 202410370213 A CN202410370213 A CN 202410370213A CN 117977815 A CN117977815 A CN 117977815A
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acquisition terminal
information
virtual
terminal
acquisition
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CN117977815B (en
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曹治国
孔晗可
齐非华
黄光中
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Hangzhou Mutual Comprehensive Energy Service Co ltd
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Hangzhou Mutual Comprehensive Energy Service Co ltd
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Abstract

The invention discloses an electric energy metering and collecting system with an electricity consumption prediction function, which belongs to the technical field of electric energy metering and collecting, and comprises a first collecting terminal, wherein the first collecting terminal is connected into the system through a network, the first collecting terminal virtualizes the first collecting terminal into a plurality of logic devices, the virtual logic devices comprise device types and device serial numbers, the device types of the same virtual logic device are the same, the device types are in a first collecting terminal device tree, the device type under each device tree is used as a root node, the device serial number is used as a leaf node of the root node of the current device type, the device serial number under the current device type tree is unique, electricity consumption information can be collected through the first collecting terminal, and electricity consumption is predicted by establishing an electricity consumption prediction model, so that electricity consumption conditions are convenient to know.

Description

Electric energy metering and collecting system with electricity consumption prediction function
Technical Field
The invention relates to the technical field of electric energy metering and collecting, in particular to an electric energy metering and collecting system with an electricity consumption prediction function.
Background
The power system is being developed and transformed in an intelligent and networked way. In this process, the conventional electric energy metering device cannot meet the increasing data analysis and energy management demands, and in order to optimize the distribution and use of electric power resources and improve energy efficiency, a highly intelligent electric energy metering and collecting system is required. The system can monitor and record the electric energy consumption data in real time, and can predict the future electric demand based on the historical data and the algorithm, so that more accurate energy distribution, energy conservation and emission reduction strategies are provided for users and electric power companies, and more efficient energy management and cost saving are realized.
The invention patent application with publication number CN115441888A discloses a passive external communication device for an electric energy acquisition terminal, an electric energy acquisition system and a method, wherein the invention comprises that an external unit is arranged near an antenna to convert digital signals and radio frequency signals; the built-in unit is connected with the electric energy acquisition terminal to replace a remote communication module, so that data transmission integrity is realized, but the invention can not predict acquired electricity information and has poor transmission efficiency.
Disclosure of Invention
Aiming at the technical problems, the invention discloses an electric energy metering and collecting system with an electricity consumption prediction function, which comprises a first collecting terminal, wherein the first collecting terminal is connected into the system through a network, the first collecting terminal virtualizes the first collecting terminal into a plurality of logic devices, the virtual logic devices comprise device types and device serial numbers, the device types of the same virtual logic device are the same, the device types are in a first collecting terminal device tree, the device type under each device tree is used as a root node, the device serial number is used as a leaf node of the root node of the current device type, and the device serial number under the current device type tree is unique.
Further, an electricity prediction model needs to be built, and the modeling step includes the steps that step S1, after the first acquisition terminal is powered on and started, the network connection state is checked, when the network connection is normal, the equipment code of the first acquisition terminal and the counting variable equipment information frame of the virtual logic equipment are uploaded to the system, the unique code is the digital number of the 12-bit splicing equipment before the HASH value of the MAC value of the first acquisition terminal, and the digital number is coded from '0000'.
And S2, the system stores a change count variable of the virtual logic device of the first acquisition terminal at the current time, and sends a timing instruction to synchronize the first acquisition terminal with the system time.
Step S3, the system sends a virtual logic device reading instruction, the first acquisition terminal transmits sub-device information comprising virtual logic devices, and the sub-device information comprises unique codes of the virtual logic devices by device types and device codes; each virtual logic device includes a count variable value that generates a number and stores the count variable value in a system database.
And S4, constructing a first prediction model according to historical data of the counting variable value under each virtual logic device, wherein the number of the first prediction model adopts unique codes of the virtual logic devices.
And S5, establishing a first prediction model for a plurality of virtual logic devices under a plurality of first acquisition terminals, and performing enhancement training on the plurality of first prediction models to obtain a second prediction model.
Further, the step of establishing the first prediction model includes step S101 of performing data definition and normalization processing on the acquired count variable value, where the count variable value includes a descriptive electricity consumption variable and a timestamp.
Step S102, decomposing the time stamp according to specific time characteristics of set granularity, wherein the set granularity comprises year, month, day, time, minute and week.
Step S103, performing a first prediction model on historical data of the numerical data with set granularity, selecting counting variable values of different time periods of the current first acquisition terminal as a test set to perform model verification, and performing continuous training and optimization on the acquired historical data.
Further, the first acquisition terminal adopts a reconnection mechanism during data interaction, the reconnection mechanism comprises a first reconnection mechanism, a first-time mechanism is formed between the first acquisition terminal and the system, when the first acquisition terminal exceeds the number of unresponsive replies at an application layer, a connection system instruction is restarted, and the number of replies is preset by a numerical value in advance; when the first receiving terminal receives the reply, the reply times are cleared, and the counting is restarted.
And the second reconnection mechanism is used for actively inquiring the data link layer connection of the first acquisition terminal, and reconnecting the system if the first acquisition terminal is disconnected.
And the third reconnection mechanism is used for reconnecting the system if no message of the system is received within a preset time.
And a fourth reconnection mechanism for reconnecting the system when generating any bottom layer error information when the first acquisition terminal transmits the data frame.
Further, the information frames comprise a terminal equipment information frame, a sub-equipment reading information frame, a timing frame, a period reporting frame, a message frame, an alarm frame and a parameter setting frame.
Terminal equipment information frame: basic information including terminal information: unique code, vendor type, firmware version, connection mode.
Reading a sub-device information frame: the system is used for actively reading the information of the virtual logic devices of all the devices of the terminal.
Time correction frame: for synchronizing the system and the time of the first acquisition terminal.
And periodically reporting frames: and the first acquisition terminal reports the data of the virtual logic device of the acquisition terminal to the system according to the appointed time.
Message frame: and after the first acquisition terminal is connected, reporting the information and the current value of the system setting parameters for the first time, and releasing the alarm state when the virtual logic device is on line.
Alarm frame: the method is used for reporting the down state of the virtual logic device and reporting alarm information.
Parameter setting frame: for configuring terminal device connection parameters.
Further, the system comprises an equipment maintenance layer, wherein the equipment maintenance layer is used for maintaining the establishment of an equipment tree of the first acquisition terminal and the information maintenance of virtual logic equipment, and checking the on-line state, the current period data and the historical data of the equipment tree structure and the sub-equipment; and the system project layer is used for establishing a manageable system project based on the equipment maintenance layer and is used for managing the data of the equipment maintenance layer and calling the data of the sub-equipment tree.
Further, the equipment maintenance layer enables an instruction to the first acquisition terminal by issuing remote debugging information, and the first acquisition terminal starts a socket to be connected to a debugging information port server of the equipment maintenance layer.
Further, the virtual logic devices of the first acquisition terminal include a single-phase virtual ammeter, a three-phase virtual ammeter, a virtual terminal and a virtual gateway; the device type of each virtual device is unique in the whole system, and the serial number is unique in a single acquisition terminal.
Further, the first acquisition terminal comprises a plurality of paths of three-phase metering modules, and when the virtual logic device type of the first acquisition terminal is mapped into the single-phase virtual electric meter, each three-phase metering module can be configured into three single-phase virtual electric meters; when the virtual logic device type of the first acquisition terminal is mapped into a three-phase virtual ammeter, each three-phase metering module is configured into a single three-phase virtual ammeter.
Further, the first acquisition terminal further comprises a circuit board acquisition unit, a temperature environment acquisition unit and a smoke sensing acquisition unit.
Furthermore, the first acquisition terminal further comprises two paths of communication interfaces, wherein the first communication interface is used for reading local data and equipment parameters, and the second communication interface is used for debugging information and/or a gateway interface; the configuration information of the second communication interface is configured through the first path of communication interface.
Further, the first acquisition terminal is reconnected at a set time, and when a reconnection instruction is generated, the state information of the first acquisition terminal in the system is triggered to update the maintenance information of the first acquisition terminal in the system.
Further, the setting time is that n equal division is performed for 24 hours, the first acquisition terminals are arranged in ascending order according to the unique codes of the first acquisition terminals, n equal division is performed on the first acquisition terminals, and reconnection is performed in the corresponding time when the first acquisition terminals with the number of equal divisions are mapped to the time of n equal division.
Further, the data is reported in the judging period before reconnection, if not, the data reported in the current period is waited to complete reconnection.
Compared with the prior art, the invention has the beneficial effects that: (1) According to the invention, the electricity consumption can be acquired through the first acquisition terminal, and the electricity consumption is predicted by establishing the electricity consumption prediction model, so that the electricity consumption condition can be conveniently known; (2) The invention realizes a reconnection mechanism for the first acquisition terminal, can effectively reduce the situations of data loss and long-time unresponsiveness of equipment, and ensures the restorability of data interaction; (3) By layering the system, the management of the acquisition equipment accessed in the system is facilitated, and the debugging of the equipment is facilitated.
Drawings
FIG. 1 is an exemplary step of the present invention in building a power usage prediction model.
FIG. 2 is an exemplary step of the present invention in building a first predictive model.
Detailed Description
Examples: in this embodiment, the first acquisition terminal acquires electricity consumption, the first acquisition terminal is connected to the system through a network, the first acquisition terminal virtualizes the first acquisition terminal into a plurality of logic devices, the virtual logic devices include device types and device serial numbers, the device types of the same virtual logic device are the same, the device types are in a first acquisition terminal device tree, the device type under each device tree is used as a root node, the device serial number is used as a leaf node of the root node of the current device type, and the device serial number under the current device type tree is unique.
The electricity consumption prediction function of the present embodiment is implemented by requiring the establishment of an electricity consumption prediction model, as shown in fig. 1, the modeling step including,
Step S1, checking the network connection state after the first acquisition terminal is powered on, uploading the equipment code of the first acquisition terminal and the counting variable equipment information frame of the virtual logic equipment to a system when the network connection is normal, and uniquely encoding the digital number of the 12-bit splicing equipment before the HASH value which is the MAC value of the first acquisition terminal, wherein the digital number is encoded from 0000.
And S2, the system stores a change count variable of the virtual logic device of the first acquisition terminal at the current time, and sends a timing instruction to synchronize the first acquisition terminal with the system time.
Step S3, the system sends a virtual logic device reading instruction, the first acquisition terminal transmits sub-device information comprising virtual logic devices, and the sub-device information comprises unique codes of the virtual logic devices by device types and device codes; each virtual logic device includes a count variable value that generates a number and stores the count variable value in a system database.
And S4, constructing a first prediction model according to historical data of the counting variable value under each virtual logic device, wherein the number of the first prediction model adopts unique codes of the virtual logic devices.
And S5, establishing a first prediction model for a plurality of virtual logic devices under a plurality of first acquisition terminals, and performing enhancement training on the plurality of first prediction models to obtain a second prediction model.
The first prediction model in the above step is a prediction model established on a single first acquisition terminal, and as shown in fig. 2, the step of establishing the first prediction model includes,
And step S101, carrying out data definition and standardization processing on the acquired counting variable value, wherein the counting variable value comprises a description electricity consumption variable and a time stamp.
Step S102, decomposing the time stamp according to specific time characteristics of set granularity, wherein the set granularity comprises year, month, day, time, minute and week.
Step S103, performing a first prediction model on historical data of the numerical data with set granularity, selecting counting variable values of different time periods of the current first acquisition terminal as a test set to perform model verification, and performing continuous training and optimization on the acquired historical data.
In order to ensure the restorability of data interaction, the first acquisition terminal adopts a reconnection mechanism during the data interaction, wherein the reconnection mechanism comprises a first reconnection mechanism, a first-time mechanism is formed between the first acquisition terminal and the system, when the first acquisition terminal exceeds the unresponsive response times in an application layer, a connection system instruction is restarted, and the response times pass through preset values in advance; when the first receiving terminal receives the reply, the reply times are cleared, and the counting is restarted.
And the second reconnection mechanism is used for actively inquiring the data link layer connection of the first acquisition terminal, and reconnecting the system if the first acquisition terminal is disconnected.
And the third reconnection mechanism is used for reconnecting the system if no message of the system is received within a preset time.
And a fourth reconnection mechanism for reconnecting the system when generating any bottom layer error information when the first acquisition terminal transmits the data frame.
The information frames comprise a terminal equipment information frame, a sub-equipment information reading frame, a timing frame, a periodical reporting frame, a message frame, an alarm frame and a parameter setting frame.
Terminal equipment information frame: basic information including terminal information: unique code, vendor type, firmware version, connection mode.
Reading a sub-device information frame: the system is used for actively reading the information of the virtual logic devices of all the devices of the terminal.
Time correction frame: for synchronizing the system and the time of the first acquisition terminal.
And periodically reporting frames: and the first acquisition terminal reports the data of the virtual logic device of the acquisition terminal to the system according to the appointed time.
Message frame: and after the first acquisition terminal is connected, reporting the information and the current value of the system setting parameters for the first time, and releasing the alarm state when the virtual logic device is on line.
Alarm frame: the method is used for reporting the down state of the virtual logic device and reporting alarm information.
Parameter setting frame: for configuring terminal device connection parameters.
In this embodiment, in order to facilitate maintenance of information management of the device, the system is divided into a device maintenance layer and a system item layer. The equipment maintenance layer is used for maintaining the establishment of the equipment tree of the first acquisition terminal and the information maintenance of the virtual logic equipment, and checking the equipment tree structure and the on-line state, the current period data and the historical data of the sub-equipment; the system item layer establishes a manageable system item based on the equipment maintenance layer and is used for managing data of the equipment maintenance layer and calling data of the sub-equipment tree.
The equipment maintenance layer enables the instruction to be sent to the first acquisition terminal by sending remote debugging information, and the first acquisition terminal starts a socket to be connected to a debugging information port server of the equipment maintenance layer.
The first acquisition terminal can comprise virtual logic equipment including a single-phase virtual ammeter, a three-phase virtual ammeter, a virtual terminal and a virtual gateway; the device type of each virtual device is unique in the whole system, and the serial number is unique in a single acquisition terminal.
The first acquisition terminal comprises a plurality of paths of three-phase metering modules, and when the virtual logic device type of the first acquisition terminal is mapped into single-phase virtual electric meters, each three-phase metering module can be configured into three single-phase virtual electric meters; when the virtual logic device type of the first acquisition terminal is mapped into a three-phase virtual ammeter, each three-phase metering module is configured into a single three-phase virtual ammeter.
The first acquisition terminal further comprises a circuit board acquisition unit, a temperature environment acquisition unit and a smoke sensing acquisition unit.
The first acquisition terminal also comprises two paths of communication interfaces, wherein the first communication interface is used for reading local data and equipment parameters, and the second communication interface is used for debugging information and/or a gateway interface; the configuration information of the second communication interface is configured through the first path of communication interface.
The communication interface can be set as an RS485 interface or a wireless network.
And the first acquisition terminal is reconnected at a set time, and when a reconnection instruction is generated, the state information of the first acquisition terminal in the system is triggered and used for updating the maintenance information of the first acquisition terminal in the system.
The setting time is that n equal division is carried out on 24 hours, the first acquisition terminals are arranged in ascending order according to unique codes of the first acquisition terminals, n equal division is carried out on the first acquisition terminals, the first acquisition terminals with the equal division number are mapped into the time of n equal division, and reconnection is carried out in the corresponding time.
And before reconnection, judging that the data is reported in a period, and if the data is not finished, waiting for the data reported in the current period to finish reconnection.

Claims (10)

1. The utility model provides a take electric energy measurement collection system of electricity prediction function, includes first acquisition terminal, its characterized in that: the first acquisition terminal is connected to the system through a network, the first acquisition terminal virtualizes the first acquisition terminal into a plurality of logic devices, the virtual logic devices comprise device types and device serial numbers, the device types of the same virtual logic devices are the same, the device types are in a first acquisition terminal device tree, the device type under each device tree is used as a root node, the device serial number is used as a leaf node of the root node of the current device type, and the device serial number under the current device type tree is unique.
2. The electric energy metering and collecting system with electricity prediction function according to claim 1, wherein: it is necessary to build a power consumption prediction model, and the modeling step includes,
Step S1, checking a network connection state after the first acquisition terminal is powered on and started, uploading a device code of the first acquisition terminal and a counting variable device information frame of a virtual logic device to a system when the network connection is normal, wherein the unique code is a digital number of 12-bit splicing devices before a HASH value of an MAC value of the first acquisition terminal, and the digital number is coded from 0000;
step S2, the system stores a change count variable of virtual logic equipment of a first acquisition terminal at the current time, and sends a timing instruction to synchronize the first acquisition terminal with the system time;
Step S3, the system sends a virtual logic device reading instruction, the first acquisition terminal transmits sub-device information comprising virtual logic devices, and the sub-device information comprises unique codes of the virtual logic devices by device types and device codes; each virtual logic device comprises a counting variable value for generating a number, and the counting variable value is stored in a system database;
S4, constructing a first prediction model according to historical data of count variable values under each virtual logic device, wherein the number of the first prediction model adopts unique codes of the virtual logic devices;
And S5, establishing a first prediction model for a plurality of virtual logic devices under a plurality of first acquisition terminals, and performing enhancement training on the plurality of first prediction models to obtain a second prediction model.
3. The electric energy metering and collecting system with electricity prediction function according to claim 2, wherein: the step of building a first predictive model includes,
Step S101, carrying out data definition and standardization processing on acquired counting variable values, wherein the counting variable values comprise descriptive electricity consumption variable and time stamp;
Step S102, decomposing the time stamp according to specific time characteristics of set granularity, wherein the set granularity comprises year, month, day, time, minute and week;
step S103, a first prediction model is built on historical data of the numerical data with set granularity, counting variable values of different time periods of a current first acquisition terminal are selected as a test set to perform model verification, and the acquired historical data are continuously trained and optimized.
4. The electric energy metering and collecting system with electricity prediction function according to claim 1, wherein: the first acquisition terminal adopts a reconnection mechanism during data interaction, the reconnection mechanism comprises a first reconnection mechanism, a first-time mechanism is formed between the first acquisition terminal and the system, when the first acquisition terminal exceeds the unresponsive response times in an application layer, a connection system instruction is restarted, and the response times pass through preset values in advance; when the first receiving terminal receives the reply, the reply times are cleared, and the counting is restarted;
the second reconnection mechanism is used for actively inquiring the data link layer connection of the first acquisition terminal, and reconnecting the system if the first acquisition terminal is disconnected;
A third reconnection mechanism for reconnecting the system if no message of the system is received within a preset time;
And a fourth reconnection mechanism for reconnecting the system when generating any bottom layer error information when the first acquisition terminal transmits the data frame.
5. The electric energy metering and collecting system with electricity prediction function according to claim 2, wherein: the information frames comprise a terminal equipment information frame, a sub-equipment reading information frame, a time correction frame, a period reporting frame, a message frame, an alarm frame and a parameter setting frame;
terminal equipment information frame: basic information including terminal information: unique code, manufacturer type, firmware version, connection mode;
reading a sub-device information frame: the system is used for actively reading the information of the virtual logic devices of all the devices of the terminal;
Time correction frame: time for synchronizing the system and the first acquisition terminal;
And periodically reporting frames: the first acquisition terminal reports the data of the virtual logic device of the acquisition terminal to the system according to the appointed time;
message frame: the system is used for reporting the information and the current value of the system setting parameters for the first time after the first acquisition terminal is connected, the virtual logic device is powered on, and the alarm state is relieved;
alarm frame: the method is used for reporting the down state of the virtual logic device and reporting alarm information;
parameter setting frame: for configuring terminal device connection parameters.
6. The electric energy metering and collecting system with electricity prediction function according to claim 2, wherein: the system comprises an equipment maintenance layer, wherein the equipment maintenance layer is used for maintaining the establishment of an equipment tree of a first acquisition terminal and the information maintenance of virtual logic equipment, and checking the on-line state, current period data and historical data of the equipment tree structure and sub-equipment; and the system project layer is used for establishing a manageable system project based on the equipment maintenance layer and is used for managing the data of the equipment maintenance layer and calling the data of the sub-equipment tree.
7. The electric energy metering and collecting system with electricity prediction function according to claim 6, wherein: the equipment management layer enables an instruction to be sent to the first acquisition terminal by sending remote debugging information, and the first acquisition terminal starts a socket to be connected to a debugging information port server of the equipment maintenance layer.
8. The electric energy metering and collecting system with electricity prediction function according to claim 1, wherein: the first acquisition terminal can comprise virtual logic equipment including a single-phase virtual ammeter, a three-phase virtual ammeter, a virtual terminal and a virtual gateway; the device type of each virtual device is unique in the whole system, and the serial number is unique in a single acquisition terminal.
9. The electric energy metering and collecting system with electricity prediction function according to claim 1, wherein: the first acquisition terminal comprises a plurality of paths of three-phase metering modules, and when the virtual logic device type of the first acquisition terminal is mapped into single-phase virtual electric meters, each three-phase metering module can be configured into three single-phase virtual electric meters; when the virtual logic device type of the first acquisition terminal is mapped into a three-phase virtual ammeter, each three-phase metering module is configured into a single three-phase virtual ammeter; the first acquisition terminal further comprises a circuit board acquisition unit, a temperature environment acquisition unit and a smoke sensing acquisition unit.
10. The electric energy metering and collecting system with electricity prediction function according to claim 1, wherein: the first acquisition terminal also comprises two paths of communication interfaces, wherein the first communication interface is used for reading local data and equipment parameters, and the second communication interface is used for debugging information and/or a gateway interface; the configuration information of the second communication interface is configured through the first path of communication interface; the first acquisition terminal is reconnected at a set time, and when a reconnection instruction is generated, the state information of the first acquisition terminal in the system is triggered and used for updating the maintenance information of the first acquisition terminal in the system; the setting time is that n equal division is carried out on 24 hours, the first acquisition terminals are arranged in ascending order according to unique codes of the first acquisition terminals, n equal division is carried out on the first acquisition terminals, the first acquisition terminals with the equal division number are mapped into n equal division time, and reconnection is carried out in corresponding time; and before reconnection, judging that the data is reported in a period, and if the data is not finished, waiting for the data reported in the current period to finish reconnection.
CN202410370213.7A 2024-03-29 2024-03-29 Electric energy metering and collecting system with electricity consumption prediction function Active CN117977815B (en)

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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070192078A1 (en) * 2006-02-14 2007-08-16 Edsa Micro Corporation Systems and methods for real-time system monitoring and predictive analysis
CN106875646A (en) * 2015-12-11 2017-06-20 华为技术有限公司 Collecting method and equipment
CN109600276A (en) * 2018-12-04 2019-04-09 国家电网有限公司 The condition monitoring system of electricity consumption acquisition virtual private channel link
CN110348622A (en) * 2019-07-02 2019-10-18 创新奇智(成都)科技有限公司 A kind of Time Series Forecasting Methods based on machine learning, system and electronic equipment
CN110880055A (en) * 2019-11-28 2020-03-13 怀化建南电子科技有限公司 Building intelligent ammeter system
US20210018334A1 (en) * 2019-07-19 2021-01-21 Oracle International Corporation Smart Meter Hot Socket Prediction
CN112418523A (en) * 2020-11-23 2021-02-26 杭州电子科技大学 Digital twin-based after-sales equipment predictive maintenance coordination system
CN112990556A (en) * 2021-02-24 2021-06-18 江苏大学 User power consumption prediction method based on Prophet-LSTM model
WO2022114319A1 (en) * 2020-11-26 2022-06-02 (주)누리텔레콤 Real-time remote meter reading method and apparatus
CN115297050A (en) * 2022-05-30 2022-11-04 云南电网有限责任公司 Intelligent measurement terminal establishing method based on cloud network
CN117640440A (en) * 2023-11-16 2024-03-01 财拓云计算(上海)有限公司 Monitoring method, system and device for data center

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070192078A1 (en) * 2006-02-14 2007-08-16 Edsa Micro Corporation Systems and methods for real-time system monitoring and predictive analysis
CN106875646A (en) * 2015-12-11 2017-06-20 华为技术有限公司 Collecting method and equipment
CN109600276A (en) * 2018-12-04 2019-04-09 国家电网有限公司 The condition monitoring system of electricity consumption acquisition virtual private channel link
CN110348622A (en) * 2019-07-02 2019-10-18 创新奇智(成都)科技有限公司 A kind of Time Series Forecasting Methods based on machine learning, system and electronic equipment
US20210018334A1 (en) * 2019-07-19 2021-01-21 Oracle International Corporation Smart Meter Hot Socket Prediction
CN110880055A (en) * 2019-11-28 2020-03-13 怀化建南电子科技有限公司 Building intelligent ammeter system
CN112418523A (en) * 2020-11-23 2021-02-26 杭州电子科技大学 Digital twin-based after-sales equipment predictive maintenance coordination system
WO2022114319A1 (en) * 2020-11-26 2022-06-02 (주)누리텔레콤 Real-time remote meter reading method and apparatus
CN112990556A (en) * 2021-02-24 2021-06-18 江苏大学 User power consumption prediction method based on Prophet-LSTM model
CN115297050A (en) * 2022-05-30 2022-11-04 云南电网有限责任公司 Intelligent measurement terminal establishing method based on cloud network
CN117640440A (en) * 2023-11-16 2024-03-01 财拓云计算(上海)有限公司 Monitoring method, system and device for data center

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