CN113179309A - Block chain-based power energy consumption monitoring method and system - Google Patents
Block chain-based power energy consumption monitoring method and system Download PDFInfo
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Abstract
The invention provides a block chain-based power energy consumption monitoring method and system, and relates to the field of block chains. A block chain-based power energy consumption monitoring method comprises the following steps: measuring new energy generated in the field of electric energy, and generating energy consumption monitoring data; when the energy consumption monitoring data is acquired, determining a data processing strategy according to the information extraction window; adding a timestamp to the key monitoring data, performing hash encryption and storing the key monitoring data in a block chain; the energy system can be coupled and connected with a power generation facility of a regional power system by combining a block chain technology, has a demand side management function, forms a new characteristic of distributed energy, and is arranged near users in a distributed mode. In addition, the invention also provides a power energy consumption monitoring system based on the block chain, which comprises: the system comprises a generation module, a data processing strategy module, a key monitoring data module and an uplink module.
Description
Technical Field
The invention relates to the field of block chains, in particular to a block chain-based power energy consumption monitoring method and system.
Background
With the rapid development and progress of internet communication and digital information technology, the block chain technology has the characteristics of decentralization and traceability, so that the safety of data processing is greatly improved, and the block chain is widely applied to the field of energy internet remote monitoring service. Compared with the traditional energy Internet remote monitoring service system, the block chain energy Internet remote monitoring system has a faster, safer and more credible service system framework, and can provide a safe and stable block chain remote monitoring environment for users and merchants.
The traditional energy internet remote monitoring service system utilizes energy computing equipment, and can accurately monitor core data of enterprises, such as pressure, flow, temperature, weight, production time and the like, so that powerful data support is provided for the enterprises to execute strategies such as energy conservation and consumption, and the operation cost of the industrial enterprises is further reduced.
However, in the conventional data monitoring scheme of the energy internet remote monitoring service system, when receiving one piece of monitoring data, the monitoring data needs to be stored and managed; however, in industrial production, there are many noise data, such as invalid temperature data and weight data, which results in high resources for saving industrial data.
Disclosure of Invention
The invention aims to provide a block chain-based power and energy consumption monitoring method, which can be coupled with a power generation facility connected to a regional power system in combination with a block chain technology, has a demand-side management function, forms a new characteristic of distributed energy, and is distributed in an energy system near users in a decentralized manner.
Another object of the present invention is to provide a block chain-based electric power consumption monitoring system, which is capable of operating a block chain-based electric power consumption monitoring method.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides a block chain-based electric power energy consumption monitoring method, which includes measuring new energy generated in an electric power energy field to generate energy consumption monitoring data; when the energy consumption monitoring data is acquired, determining a data processing strategy according to the information extraction window; acquiring key monitoring data of a data packet stored in a container cluster, which is acquired by energy consumption monitoring data aiming at a data processing strategy; and adding a timestamp to the key monitoring data, performing hash encryption and storing the key monitoring data in a block chain.
In some embodiments of the invention, the measuring new energy generated in the field of electric energy and generating the energy consumption monitoring data includes: the new energy and the block ID of each node are uploaded to a server through wireless signals, the server marks all the IDs on an electronic map, and the qualified nodes are automatically linked into a network according to a set regional range or geographical distance.
In some embodiments of the present invention, the above further includes: and forming a regional private chain, and periodically sending downlink data to each node by the server, and recording the downlink data on the account book of each node to form energy consumption monitoring data.
In some embodiments of the present invention, the determining the data processing policy according to the information extraction window when the energy consumption monitoring data is acquired includes: and classifying and extracting the key energy consumption monitoring data of the data packet to obtain a plurality of content classification results, wherein each content classification result respectively comprises the key energy consumption monitoring data of the content data packet corresponding to the set content label.
In some embodiments of the present invention, the above further includes: and carrying out classification extraction on the entity key words of each content classification result aiming at each content classification result to obtain key entity labels of the key entity information packets, and respectively carrying out feature vector conversion on the key entity labels in the key entity information packets in parallel through at least one vector conversion process to obtain classification entity label vectors of the key entity information packets.
In some embodiments of the present invention, the adding a timestamp to the key monitoring data and performing hash encryption to store the key monitoring data in the block chain includes: and acquiring data processing urgency and data acquisition timestamps corresponding to the target energy consumption monitoring data in the data packet.
In some embodiments of the present invention, the above further includes: and packaging and signing the energy consumption monitoring data and the energy consumption monitoring data monitoring result, broadcasting the signed packaged data to other nodes in the block chain, and storing the packaged data in the block body of the new block after the packaged data is subjected to consensus verification of other nodes in the block chain.
In a second aspect, an embodiment of the present application provides a block chain-based power and energy consumption monitoring system, which includes a generation module, configured to measure new energy generated in a power and energy field, and generate energy consumption monitoring data;
the data processing strategy module is used for determining a data processing strategy according to the information extraction window when the energy consumption monitoring data is acquired;
the key monitoring data module is used for acquiring key monitoring data of a data packet stored in the container cluster, which is acquired by the energy consumption monitoring data aiming at the data processing strategy;
and the uplink module is used for adding a timestamp to the key monitoring data, performing hash encryption and storing the key monitoring data in the block chain.
In some embodiments of the invention, the above includes: at least one memory for storing computer instructions; at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to: the system comprises a generation module, a data processing strategy module, a key monitoring data module and an uplink module.
In a third aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements a method as any one of block chain-based electric power and energy consumption monitoring methods.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the energy system can be coupled and connected with a power generation facility of a regional power system by combining a block chain technology, has a demand side management function, forms a new characteristic of distributed energy, and is arranged near users in a distributed mode. The monitoring instruction is sent to the energy control terminal according to the energy consumption monitoring data stored in the block chain, so that the correctness and the effectiveness of the monitoring instruction are guaranteed, the energy consumption monitoring data and the monitoring result are stored in the block chain, and the data are guaranteed to be safe, credible and traceable by using the tamper resistance and the traceability of the block chain, so that the effectiveness and the safety of energy monitoring are guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic step diagram of a block chain-based power energy consumption monitoring method according to an embodiment of the present invention;
fig. 2 is a detailed step diagram of a block chain-based power energy consumption monitoring method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a block chain-based power and energy consumption monitoring system according to an embodiment of the present invention;
fig. 4 is an electronic device according to an embodiment of the present invention.
Icon: 10-a generating module; 20-a data processing policy module; 30-a key monitoring data module; 40-uplink module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram illustrating steps of a block chain-based power and energy consumption monitoring method according to an embodiment of the present invention, which is shown as follows:
step S100, metering new energy generated in the field of electric energy, and generating energy consumption monitoring data;
in some embodiments, the carbon emission data may be generated by measuring greenhouse gases generated by fossil fuel combustion or gas leakage in the energy field, the industrial field, and/or the transportation field, or the energy consumption monitoring data may be generated by measuring new energy generated from electric energy of an enterprise.
Step S110, when the energy consumption monitoring data is acquired, determining a data processing strategy according to an information extraction window;
in some embodiments, different data processing strategies may be set for processing different data in the energy consumption monitoring data collected by the energy metering device; for example, for project data in the energy consumption monitoring data, some setting information in the project data may be extracted and stored by using a data processing policy, such as monitoring time, monitoring place, area number, monitoring project, and the like; for another example, for the state data in the energy consumption monitoring data, some specific values in the project data may be extracted and stored by using a data processing strategy.
Step S120, acquiring key monitoring data of a data packet stored in a container cluster, wherein the key monitoring data are acquired by the energy consumption monitoring data aiming at a data processing strategy;
in some embodiments, two different container clusters may be provided, each for storing data obtained by the energy consumption monitoring data for a data processing strategy. For example, a first container cluster and a second container cluster may be respectively set, and a first data packet obtained by the energy consumption monitoring data for a first data processing policy is stored in the first container cluster, and a second data packet obtained by the energy consumption monitoring data for a second data processing policy is stored in the second container cluster.
First critical monitoring data may then be obtained for the first data packet and second critical monitoring data may be obtained for the second data packet. The first critical monitoring data may be data with a higher priority corresponding to the first data packet, and the second critical monitoring data may be data with a higher priority in the second data packet.
And step S130, adding a timestamp to the key monitoring data, performing hash encryption and storing the key monitoring data in a block chain.
In some embodiments, after the first critical monitoring data and the second critical monitoring data are obtained, the target second critical monitoring data corresponding to the first critical monitoring data of the first data packet may be determined based on the second critical monitoring data of the second data packet, and the target second critical monitoring data is added to the timestamp uplink. The uplink data includes data content, both digital signatures and acknowledgement time, and cannot be modified. At a later date, the data may be used as evidence, once disputed. Meanwhile, the hash value can be calculated by using the original data by multiple parties, and whether the data is tampered or not is judged by comparing the hash values on the chain.
Example 2
Referring to fig. 2, fig. 2 is a detailed step diagram of a block chain-based power energy consumption monitoring method according to an embodiment of the present invention, which is shown as follows:
and S200, uploading the new energy and the block IDs of all the nodes to a server through wireless signals, marking all the IDs on an electronic map by the server, and automatically linking the qualified nodes into a network according to a set regional range or geographic distance.
Step S210, a regional private chain is formed, the server periodically sends downlink data to each node, and the downlink data is recorded on the account book of each node to form energy consumption monitoring data.
Step S220, classifying and extracting the key energy consumption monitoring data of the data packet to obtain a plurality of content classification results, where each content classification result includes the key energy consumption monitoring data of the content data packet corresponding to the set content tag.
Step S230, for each content classification result, performing classification extraction on the entity keywords of each content classification result to obtain key entity labels of the key entity information packets, and performing feature vector transformation on the key entity labels in the key entity information packets in parallel through at least one vector transformation process to obtain classification entity label vectors of the key entity information packets.
Step S240, obtaining a data processing urgency and a data acquisition timestamp corresponding to each of the plurality of target energy consumption monitoring data in the data packet.
And step S250, packaging and signing the energy consumption monitoring data and the energy consumption monitoring data monitoring result, broadcasting the signed packaged data to other nodes in the block chain, and storing the packaged data in the block of the new block after the packaged data is subjected to consensus verification of other nodes in the block chain.
In some embodiments, the blockchain is a distributed ledger whose nodes involve data encryption, time stamping, and consensus mechanisms. In a narrow sense, the blockchain is a specific data structure in which data blocks are arranged in a chain according to a chronological order, and encryption ensures that a distributed shared account book which cannot be tampered or forged can be encrypted, so that data which is chronological and can be verified in a system can be safely and simply stored. In a broad sense, blockchains use a chain structure to validate and store data through cryptographic algorithms, use consensus mechanisms to generate and update data, encode and manipulate data with intelligent contract automation script code. The core of the 'real-time storage of a data block chain between energy supply and demand' is distributed, and the existence of a third-party trusted authority is not required. Therefore, on a system without mutual trust or distribution, the nodes can realize point-to-point transactions and the like based on strategies such as a consensus mechanism, economic incentive and the like, and the problems of low throughput, high delay, non-safety storage and the like commonly existing in a third-party centralized system are avoided.
In some embodiments, energy forecast data, real-time electricity price data, and energy real-time monitoring data are obtained; the energy prediction data, the real-time electricity price data and the energy real-time monitoring data are respectively obtained from new energy power generation enterprises, adjustable load energy storage application businesses and industrial power utilization enterprises.
The energy real-time monitoring data comprises information such as power, generated energy, voltage, current and power factors.
Reading energy consumption monitoring data pre-stored in a block chain; the energy consumption monitoring data is generated according to contract information signed by a new energy power generation enterprise, an adjustable load energy storage application provider, an industrial power enterprise and an energy service provider, and the energy consumption monitoring data under different scenes such as different periods and the like are agreed in the contract information. It should be noted that, the contract information also needs to be stored in the block chain to ensure the security and non-tamper property of the contract information, and the contract information signed by the new energy power generation enterprise, the adjustable load energy storage application provider, the industrial power enterprise and the energy service provider is signed; broadcasting the signed contract information to other energy service platform nodes in the block chain; and after the contract information is subjected to consensus verification of other energy service platform nodes in the block chain, generating a new block, and storing the contract information in a block header of the new block. The consensus verification method may be any one of the existing block chain consensus verification methods, and is not specifically limited herein.
The block storage area comprises a block head and a block body, wherein the block head stores contract information, and also stores a pointed previous node hash identifier, a block hash identifier and a timestamp. After the contract information is stored in the block header of the new block, the method also comprises the steps of generating the energy consumption monitoring data according to the contract information and storing the energy consumption monitoring data in the block header of the new block.
Example 3
Referring to fig. 3, fig. 3 is a schematic diagram of a block chain-based power and energy consumption monitoring system module according to an embodiment of the present invention, which is shown as follows:
the generation module 10 is used for metering new energy generated in the field of electric energy and generating energy consumption monitoring data;
the data processing strategy module 20 is configured to determine a data processing strategy according to the information extraction window when the energy consumption monitoring data is acquired;
the key monitoring data module 30 is configured to obtain key monitoring data of a data packet stored in a container cluster, where the key monitoring data is obtained by the energy consumption monitoring data according to a data processing policy;
and the uplink module 40 is used for adding a time stamp to the key monitoring data, performing hash encryption and storing the key monitoring data in the block chain.
As shown in fig. 4, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system and method can be implemented in other ways. The method and system embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In another aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by the processor 102, implements the method according to any one of the first aspect described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In summary, the block chain based power energy consumption monitoring method and system provided by the embodiments of the present application can combine with a block chain technology to couple and connect to a power generation facility of a regional power system, and have a demand-side management function, form a new feature of distributed energy, and be distributed in an energy system near a user in a decentralized manner. The monitoring instruction is sent to the energy control terminal according to the energy consumption monitoring data stored in the block chain, so that the correctness and the effectiveness of the monitoring instruction are guaranteed, the energy consumption monitoring data and the monitoring result are stored in the block chain, and the data are guaranteed to be safe, credible and traceable by using the tamper resistance and the traceability of the block chain, so that the effectiveness and the safety of energy monitoring are guaranteed.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A block chain-based power energy consumption monitoring method is characterized by comprising the following steps:
measuring new energy generated in the field of electric energy, and generating energy consumption monitoring data;
when the energy consumption monitoring data is acquired, determining a data processing strategy according to the information extraction window;
acquiring key monitoring data of a data packet stored in a container cluster, which is acquired by energy consumption monitoring data aiming at a data processing strategy;
and adding a timestamp to the key monitoring data, performing hash encryption and storing the key monitoring data in a block chain.
2. The method according to claim 1, wherein the measuring new energy generated in the field of electric energy and generating the energy consumption monitoring data comprises:
the new energy and the block ID of each node are uploaded to a server through wireless signals, the server marks all the IDs on an electronic map, and the qualified nodes are automatically linked into a network according to a set regional range or geographical distance.
3. The block chain-based electric power energy consumption monitoring method according to claim 2, further comprising:
and forming a regional private chain, and periodically sending downlink data to each node by the server, and recording the downlink data on the account book of each node to form energy consumption monitoring data.
4. The method according to claim 1, wherein the determining the data processing policy according to the information extraction window when the energy consumption monitoring data is acquired comprises:
and classifying and extracting the key energy consumption monitoring data of the data packet to obtain a plurality of content classification results, wherein each content classification result respectively comprises the key energy consumption monitoring data of the content data packet corresponding to the set content label.
5. The block chain-based electric power energy consumption monitoring method according to claim 4, further comprising:
and carrying out classification extraction on the entity key words of each content classification result aiming at each content classification result to obtain key entity labels of the key entity information packets, and respectively carrying out feature vector conversion on the key entity labels in the key entity information packets in parallel through at least one vector conversion process to obtain classification entity label vectors of the key entity information packets.
6. The block chain-based electric power energy consumption monitoring method according to claim 1, wherein the adding a timestamp to the key monitoring data and performing hash encryption to store the key monitoring data in the block chain comprises:
and acquiring data processing urgency and data acquisition timestamps corresponding to the target energy consumption monitoring data in the data packet.
7. The block chain-based electric power energy consumption monitoring method according to claim 1, further comprising:
and packaging and signing the energy consumption monitoring data and the energy consumption monitoring data monitoring result, broadcasting the signed packaged data to other nodes in the block chain, and storing the packaged data in the block body of the new block after the packaged data is subjected to consensus verification of other nodes in the block chain.
8. A block chain-based power and energy consumption monitoring system, comprising:
the generating module is used for metering new energy generated in the field of electric energy and generating energy consumption monitoring data;
the data processing strategy module is used for determining a data processing strategy according to the information extraction window when the energy consumption monitoring data is acquired;
the key monitoring data module is used for acquiring key monitoring data of a data packet stored in the container cluster, which is acquired by the energy consumption monitoring data aiming at the data processing strategy;
and the uplink module is used for adding a timestamp to the key monitoring data, performing hash encryption and storing the key monitoring data in the block chain.
9. The block chain-based electric power energy consumption monitoring system according to claim 8, comprising:
at least one memory for storing computer instructions;
at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to perform: the system comprises a generation module, a data processing strategy module, a key monitoring data module and an uplink module.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113553362A (en) * | 2021-09-17 | 2021-10-26 | 国网浙江省电力有限公司 | Carbon energy consumption monitoring method and device based on consensus mechanism and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108958049A (en) * | 2018-07-10 | 2018-12-07 | 三智头智能科技(佛山)有限公司 | A kind of energy monitor management method and system |
| CN110866857A (en) * | 2019-12-24 | 2020-03-06 | 赫普能源环境科技有限公司 | Cement plant greenhouse gas emission monitoring system and method |
| CN111241465A (en) * | 2020-03-06 | 2020-06-05 | 赫普能源环境科技股份有限公司 | User ammeter coupling carbon emission monitoring system and method |
| CN112084095A (en) * | 2020-09-18 | 2020-12-15 | 广州智云尚大数据科技有限公司 | Energy network connection monitoring method and system based on block chain and storage medium |
-
2021
- 2021-04-23 CN CN202110443193.8A patent/CN113179309A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108958049A (en) * | 2018-07-10 | 2018-12-07 | 三智头智能科技(佛山)有限公司 | A kind of energy monitor management method and system |
| CN110866857A (en) * | 2019-12-24 | 2020-03-06 | 赫普能源环境科技有限公司 | Cement plant greenhouse gas emission monitoring system and method |
| CN111241465A (en) * | 2020-03-06 | 2020-06-05 | 赫普能源环境科技股份有限公司 | User ammeter coupling carbon emission monitoring system and method |
| CN112084095A (en) * | 2020-09-18 | 2020-12-15 | 广州智云尚大数据科技有限公司 | Energy network connection monitoring method and system based on block chain and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113553362A (en) * | 2021-09-17 | 2021-10-26 | 国网浙江省电力有限公司 | Carbon energy consumption monitoring method and device based on consensus mechanism and storage medium |
| CN113553362B (en) * | 2021-09-17 | 2021-11-30 | 国网浙江省电力有限公司 | Carbon energy consumption monitoring method and device based on consensus mechanism and storage medium |
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