CN113689309A - Data processing method and system for enterprise energy management - Google Patents

Data processing method and system for enterprise energy management Download PDF

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Publication number
CN113689309A
CN113689309A CN202110995967.8A CN202110995967A CN113689309A CN 113689309 A CN113689309 A CN 113689309A CN 202110995967 A CN202110995967 A CN 202110995967A CN 113689309 A CN113689309 A CN 113689309A
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energy
data
enterprise
sensor data
saving
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缪美芳
刘霁阳
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Zhejiang Zhefeng Energy Co ltd
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Zhejiang Zhefeng Energy Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80—Management or planning
    • Y02P90/82—Energy audits or management systems therefor

Abstract

The application discloses a data processing method and a system for enterprise energy management, wherein the method comprises the following steps: acquiring energy data, namely acquiring sensor data, wherein the sensor data are energy equipment parameter data; the energy-saving data processing step is to perform energy consumption adjustment on nodes beyond the expected energy consumption and perform energy consumption transaction on the energy-saving nodes after the potential energy-saving node data is counted and processed. The method of the invention monitors real-time operation parameters and energy conservation or not aiming at main energy sources such as enterprise electricity, water, steam and the like, analyzes and compares the energy consumption according to the production plan and the requirements of energy conservation and emission reduction, and the analysis result can be fed back to the production plan and can carry out energy consumption transaction. The efficiency of enterprise's management numerous energy equipment has greatly been promoted and the complexity of energy management of enterprise is reduced.

Description

Data processing method and system for enterprise energy management
Technical Field
The application relates to the technical field of energy management, in particular to a data processing method and system for enterprise energy management.
Background
In recent years, according to the requirements of national energy conservation and emission reduction and enterprise energy management and control integration, the speed of energy transformation is increased and energy trading is deepened continuously.
The existing production enterprises have the difficulties of large quantity of energy consumption equipment, dispersed energy consumption, lack of quantitative management of energy conservation and emission reduction, supervision of government departments and the like.
In view of the above difficulties, solutions have been proposed for the difficulties in energy management, including energy supervision and transaction by using a third-party platform, but there still exist the problems of energy management of large-scale enterprises, such as complex energy conversion and circulation and poor management efficiency.
Disclosure of Invention
The embodiment of the application provides a data processing method and system for enterprise energy management, so that complexity of an enterprise on energy management is reduced, and efficiency of the enterprise on energy management is improved.
A data processing method oriented to enterprise energy management comprises the following steps:
acquiring energy data, namely acquiring sensor data, wherein the sensor data are energy equipment parameter data;
energy balance step, adopting an energy balance analysis model to analyze the sensor data based on a preset energy strategy to generate potential energy-saving node data;
and energy-saving data processing, namely counting and processing the potential energy-saving node data, adjusting the energy consumption of the nodes beyond the expected energy consumption, and performing energy consumption transaction on the energy-saving nodes.
Preferably, the sensor data comprises a combination of one or more of the following parameters:
smoke exhaust temperature, water storage temperature, environment temperature, steam flow, steam pressure, hearth negative pressure, oxygen content and water inlet flow.
Preferably, the analyzing of the sensor data based on a preset energy policy comprises:
matching the sensor data with energy equipment, and comparing the sensor data with the data of the energy equipment in a preset production plan to obtain a comparison result;
and acquiring a historical supply and demand plan of the energy equipment, and adjusting the preset production plan as feedback by combining the comparison result.
Preferably, the pre-set production plan and the historical supply and demand plan include one or more of the following data in combination:
energy generation amount, energy usage amount and energy emission amount.
Preferably, the method further comprises the following steps: training an energy balance analysis model, and specifically realizing the following steps:
and obtaining a historical production plan and a current comparison result, and training the energy balance model to obtain the optimal output ratio of energy investment and energy consumption transaction according to the energy cost and the energy proportion of the energy equipment in the enterprise.
A system for enterprise-oriented energy management, comprising:
the energy data acquisition unit is used for acquiring sensor data, and the sensor data are energy equipment parameter data;
the energy balance unit is used for analyzing the sensor data based on a preset energy strategy by adopting an energy balance analysis model to generate potential energy-saving node data;
and the energy-saving data processing unit is used for counting and processing the potential energy-saving node data, adjusting the energy consumption of the nodes beyond the expected energy consumption, and performing energy consumption transaction on the energy-saving nodes.
Preferably, the energy balancing unit implements:
matching the sensor data with energy equipment, and comparing the sensor data with the data of the energy equipment in a preset production plan to obtain a comparison result;
and acquiring a historical supply and demand plan of the energy equipment, and adjusting the preset production plan as feedback by combining the comparison result.
The energy balance unit, this system still include the training unit, specifically realize as:
and obtaining a historical production plan and a current comparison result, and training the energy balance model to obtain the optimal output ratio of energy investment and energy consumption transaction according to the energy cost and the energy proportion of the energy equipment in the enterprise. A computing device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the above-described method.
The data processing method for enterprise energy management comprises the steps of acquiring energy data, acquiring sensor data, balancing the energy, analyzing the sensor data based on a preset energy strategy by adopting an energy balance analysis model, counting and processing potential energy-saving node data, adjusting energy consumption of nodes beyond the expected energy consumption, and performing energy consumption transaction on the energy-saving nodes. The method of the invention monitors real-time operation parameters and energy conservation or not aiming at main energy sources such as enterprise electricity, water, steam and the like, analyzes and compares the energy consumption according to the production plan and the requirements of energy conservation and emission reduction, and the analysis result can be fed back to the production plan and can carry out energy consumption transaction. The efficiency of enterprise's management numerous energy equipment has greatly been promoted and the complexity of energy management of enterprise is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a diagram illustrating a data processing scenario for enterprise energy management in the prior art;
FIG. 2 is a schematic diagram of key point detection of a data processing method for enterprise energy management in an embodiment of the present application;
fig. 3 is a schematic flowchart of a data processing method for enterprise energy management according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a data processing management apparatus for enterprise energy management according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a data processing apparatus for enterprise energy management according to an embodiment of the present application;
FIG. 6 is a schematic structural diagram of a computer-readable medium in an embodiment of the present application;
fig. 7 is a schematic structural diagram of a computing device according to an embodiment of the present application in an embodiment of the present application.
Detailed Description
The embodiment of the application provides a data processing method and system for enterprise energy management, so that the efficiency of managing a plurality of energy devices by an enterprise is improved, and the complexity of energy management of the enterprise is reduced.
Referring to fig. 1, a data processing method for enterprise energy management includes:
s11, acquiring energy data, namely acquiring sensor data, wherein the sensor data are energy equipment parameter data;
preferably, the sensor data comprises a combination of one or more of the following parameters:
smoke exhaust temperature, water storage temperature, environment temperature, steam flow, steam pressure, hearth negative pressure, oxygen content and water inlet flow.
The sensors corresponding to the above sensor data are a smoke sensor, a steam sensor, a temperature sensor, a humidity sensor and a water flow sensor.
The energy data acquisition process is not limited to a data form, and the sensor can be a PLC/DCS system combined by a network and a field instrument and acquired by a communication interface of a station control system. And the transmission protocol can be MODBUS, OPC, ICE60760-5-101, 102, 104, etc., without limitation.
The sensor data can be real-time operation data of main energy media such as electricity, fire, steam and the like of an enterprise, and total energy consumption data, workshop energy consumption data, process energy consumption data, equipment energy consumption data and the like are obtained through subsequent analysis.
S12, energy balance step, adopting an energy balance analysis model to analyze the sensor data based on a preset energy strategy to generate potential energy-saving node data;
the potential energy-saving node may be a device group or a certain plant which meets the requirements of energy saving and emission reduction, and the data of the potential energy-saving node needs to obtain the energy-saving condition of a certain energy device, a certain device groups (key energy-using devices) or the whole plant (energy source or process system) through analysis of the sensor data to judge.
The model of the energy balance step can be used for greatly reducing the complexity of analysis, judging whether each node is energy-saving or not in real time, and reducing the energy consumption of enterprises on links of different levels and the management complexity of energy-saving data by using the integration of the model on data.
Referring to fig. 2, the analyzing of the sensor data based on a preset energy policy includes:
s21, matching the sensor data with energy equipment, and comparing the sensor data with the data of the energy equipment in a preset production plan to obtain a comparison result;
specifically, preferably, the preset production plan and the historical supply and demand plan include one or more of the following data: energy generation amount, energy usage amount and energy emission amount.
The production plan is that enterprise comparison is carried out on all levels of energy consumption indexes of an enterprise according to national and enterprise internal management requirements to generate energy consumption indexes of a company level, a vehicle bay level and an equipment level, and various energy consumption organization forms, such as plans of a time dimension, a consumption dimension and a cost dimension, can be customized according to corresponding indexes.
And S22, acquiring a historical supply and demand plan of the energy equipment, and adjusting the preset production plan as feedback by combining the comparison result.
For a certain enterprise, the results of the historical process planning and comparison are used, namely: and analyzing the completion condition of each energy consumption packet, reasonably and programmatically adjusting the energy consumption indexes of the production plan aiming at the company level, the workshop level and the equipment level, and realizing uninterrupted energy consumption optimization.
And 13, energy-saving data processing, namely counting and processing the potential energy-saving node data, adjusting the energy consumption of the nodes beyond the expected energy consumption, and performing energy consumption transaction on the energy-saving nodes.
The step is to further refine and evaluate the potential energy-saving nodes, confirm the energy-saving degree and the interchangeability of the potential energy-saving node data, and refine and count the energy consumption of enterprises in the step and accurately position the energy-saving nodes with possible energy consumption trading. Thereby ensuring that the energy consumption comprehensiveness is ensured and the efficiency of energy consumption management is improved.
Referring to fig. 3, the method of the present invention further comprises: the method comprises the following steps of training an energy balance analysis model, and is specifically realized as follows:
s31, obtaining the historical production plan and the current comparison result;
according to the historical production plan and the current comparison result, an energy supply and demand plan can be generated to guide energy to produce according to the demand plan, the required energy is provided for the main production line, the process plan is carried out according to water, electricity and gas, and data such as the actual generation amount, the usage amount and the divergence amount of the energy medium are further collected. Used for reflecting various production distribution and practical conditions.
And S32, training the energy balance model according to the energy cost and the energy proportion of the energy equipment in the enterprise to obtain the optimal energy investment and the output ratio of the energy consumption transaction.
The step realizes the energy cost of different energy-using enterprises and the energy proportion of each energy device, and the evaluation of whether the energy consumption transaction of the energy-saving node in the potential energy nodes is carried out or not to participate in the energy transaction according to the cost of purchasing different energy media.
Referring to fig. 4, the invention is shown to disclose a system for enterprise energy management, comprising:
the energy data acquisition unit 41 is used for acquiring sensor data, and the sensor data are energy equipment parameter data;
the energy balance unit 42 is configured to perform analysis based on a preset energy policy on the sensor data by using an energy balance analysis model to generate potential energy-saving node data;
and the energy-saving data processing unit 43 is configured to, after counting and processing the potential energy-saving node data, perform energy consumption adjustment on nodes exceeding the expected energy consumption, and perform energy consumption transaction on the energy-saving nodes.
The units are functional modules, and system level-based expansion can be performed according to actual production requirements.
Specifically, the energy balance unit 51 specifically implements:
matching the sensor data with energy equipment, and comparing the sensor data with the data of the energy equipment in a preset production plan to obtain a comparison result;
and acquiring a historical supply and demand plan of the energy equipment, and adjusting the preset production plan as feedback by combining the comparison result.
Referring to fig. 5, based on the illustration and description of fig. 4, fig. 5 shows a training unit, which is implemented in detail as:
and obtaining a historical production plan and a current comparison result, and training the energy balance model to obtain the optimal output ratio of energy investment and energy consumption transaction according to the energy cost and the energy proportion of the energy equipment in the enterprise.
As another aspect of embodiments of the invention, the method of the invention may be computer readableThe medium 61 is used to realize that, referring to FIG. 6, there are stored computer-executable instructions, i.e., aspects of the present inventionProgram instructions for implementing the methods described above with reference to the embodiments and embodiments shown in fig. 1-4, that is, for implementing the enterprise energy management method, and the computer-executable instructions may be embedded in an enterprise energy management chip.
Readable signal medium 61 may comprise a propagated data signal with readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device over any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., over the internet using an internet service provider).
A computing device 70 according to this embodiment of the present application, which in this embodiment may be the server itself used by enterprise energy management or an integration of the energy management related processor, is also disclosed in the present invention and described below with reference to FIG. 7. The computing device 70 shown in fig. 7 is only one example and should not impose any limitations on the functionality or scope of use of embodiments of the present application.
As shown in fig. 7, computing device 70 is embodied in the form of a general purpose computing device. Components of computing device 70 may include, but are not limited to: the at least one processor 71, the at least one memory 72, and a bus 73 connecting the various system components (including the memory 72 and the processor 71).
Bus 73 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, or a local bus using any of a variety of bus architectures.
The memory 72 may include readable media in the form of volatile memory, such as Random Access Memory (RAM) 721 and/or cache memory 722, and may further include Read Only Memory (ROM) 723.
Memory 72 may also include a program/utility 725 having a set (at least one) of program modules 724, such program modules 724 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Computing device 70 may also communicate with one or more external devices 74 (e.g., keyboard, pointing device, etc.), with one or more devices that enable a user to interact with computing device 70, and/or with any devices (e.g., router, modem, etc.) that enable computing device 70 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 75. Also, computing device 70 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) through network adapter 76. As shown, network adapter 76 communicates with other modules for computing device 70 over bus 73. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computing device 70, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
In summary, the following steps:
in some possible embodiments, the aspects of the data processing method for enterprise energy management provided by the present application may also be implemented in the form of a program product including program code for causing a computer device to perform the above-described encryption method for information to be verified and/or the steps in the verification method for information to be verified according to various exemplary embodiments of the present application described herein when the program product is run on a computer device, for example, the computer device may perform the steps S11-S13 shown in fig. 1.
In some possible implementations, a computing device according to the present application may include at least one processor, and at least one memory (such as the aforementioned first server). The memory stores program codes, and when the program codes are executed by the processor, the processor executes the steps of the system permission opening method according to the various exemplary embodiments of the present application described above in the present specification.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The program product for system privilege opening of embodiments of the present application may employ a portable compact disk read-only memory (CD-ROM) and include program code, and may be executable on a computing device. However, the program product of the present application is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (10)

1. A data processing method for enterprise energy management is characterized by comprising the following steps:
acquiring energy data, namely acquiring sensor data, wherein the sensor data are energy equipment parameter data;
energy balance step, adopting an energy balance analysis model to analyze the sensor data based on a preset energy strategy to generate potential energy-saving node data;
and energy-saving data processing, namely counting and processing the potential energy-saving node data, adjusting the energy consumption of the nodes beyond the expected energy consumption, and performing energy consumption transaction on the energy-saving nodes.
2. The enterprise energy management-oriented data processing method of claim 1,
the sensor data includes a combination of one or more of the following parameters:
smoke exhaust temperature, water storage temperature, environment temperature, steam flow, steam pressure, hearth negative pressure, oxygen content and water inlet flow.
3. The data processing method for enterprise energy management according to any one of claims 1 or 2, wherein the analyzing the sensor data based on a preset energy policy comprises:
matching the sensor data with energy equipment, and comparing the sensor data with the data of the energy equipment in a preset production plan to obtain a comparison result;
and acquiring a historical supply and demand plan of the energy equipment, and adjusting the preset production plan as feedback by combining the comparison result.
4. The enterprise energy management-oriented data processing method of claim 3, wherein the pre-set production plan and the historical supply and demand plan include one or more of the following data in combination:
energy generation amount, energy usage amount and energy emission amount.
5. The enterprise energy management-oriented data processing method according to any one of claims 1 or 2, further comprising: training an energy balance analysis model, and specifically realizing the following steps:
and obtaining a historical production plan and a current comparison result, and training the energy balance model to obtain the optimal output ratio of energy investment and energy consumption transaction according to the energy cost and the energy proportion of the energy equipment in the enterprise.
6. A system for enterprise-oriented energy management, comprising:
the energy data acquisition unit is used for acquiring sensor data, and the sensor data are energy equipment parameter data;
the energy balance unit is used for analyzing the sensor data based on a preset energy strategy by adopting an energy balance analysis model to generate potential energy-saving node data;
and the energy-saving data processing unit is used for counting and processing the potential energy-saving node data, adjusting the energy consumption of the nodes beyond the expected energy consumption, and performing energy consumption transaction on the energy-saving nodes.
7. The system for enterprise energy management according to claim 6, wherein the energy balancing unit is configured to:
matching the sensor data with energy equipment, and comparing the sensor data with the data of the energy equipment in a preset production plan to obtain a comparison result;
and acquiring a historical supply and demand plan of the energy equipment, and adjusting the preset production plan as feedback by combining the comparison result.
8. The system for enterprise energy management according to claim 6, further comprising a training unit embodied as:
and obtaining a historical production plan and a current comparison result, and training the energy balance model to obtain the optimal output ratio of energy investment and energy consumption transaction according to the energy cost and the energy proportion of the energy equipment in the enterprise.
9. A computer-readable medium, comprising: stored are computer-executable instructions, i.e. program instructions corresponding to the inventive method, for performing the method as set forth in the preceding claims 1-5.
10. A computing device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
CN202110995967.8A 2021-08-27 2021-08-27 Data processing method and system for enterprise energy management Pending CN113689309A (en)

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