CN116703081A - Comprehensive energy operation management cloud platform - Google Patents
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Abstract
The invention relates to the technical field of energy operation management, in particular to a comprehensive energy operation management cloud platform, which comprises an intelligent operation management main platform, an energy data transfer platform and a data acquisition and transmission platform; the intelligent operation management main platform is used for collecting and tracing the energy data, monitoring in real time, managing data, managing digital assets, operating safely, operating intelligently and the like, and the data collected by the operation management main platform is transmitted to the energy data transfer platform. The method and the system realize the requirements of scheduling operation and energy digital asset management of various energy sources, meet the requirements of operation, maintenance and balance and transaction creation of energy facilities, realize data tracing trusted sharing, business and flow fusion and avoid repeated input of data, and the visualized energy source operation management is beneficial to integrating energy sources, data streams, business streams and value streams, and continuously promotes comprehensive, reliable and smooth performance of platform system energy efficiency, intelligent scheduling and safety management and control.
Description
Technical Field
The invention relates to the technical field of energy operation management, in particular to a comprehensive energy operation management cloud platform.
Background
The comprehensive energy operation management system is a plurality of energy management services surrounding a certain group of a certain mine, and a plurality of energy scheduling operation services of the direct departments, fully utilizes energy source flow technology, block chain technology, energy storage technology, virtual power plant technology, digital twin technology, WEB3.0, identification code, big data platform technology and cloud computing technology, is compatible with the existing energy infrastructure, develops energy sharing information platform construction work, and meets the requirements of energy management application of the group companies and the direct departments. The platform provides necessary technical means to meet the requirements of the business such as monitoring, energy source flow analysis, target analysis and the like on the supply and demand output of various energy sources; the platform meets the requirements for scheduling, running and managing various energy sources and the requirements for running and maintaining energy facilities; the requirements of energy transaction, response of the requirement side, energy efficiency management and the like are met.
However, in the actual use process of the management system, the problems of decentralized service tools of the secondary departments, unclear data identification codes, incapability of tracing and sharing data, incapability of merging service flows, repeated data input and the like exist, and the comprehensive energy operation management platform which cannot realize longitudinal integrated through of the source network charge storage, transverse multi-energy complementary interconnection, autonomous and controllable distribution, global integrated response and the like exists. For this reason, there is a need to propose an improvement for solving the above-mentioned problems.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a comprehensive energy operation management cloud platform.
In order to achieve the above purpose, the invention adopts the following technical scheme: the comprehensive energy operation management cloud platform comprises an intelligent operation management main platform, an energy data transfer platform and a data acquisition and transmission platform;
the intelligent operation management main platform is used for collecting, operating, monitoring in real time, operating and the like of energy data, and the data collected by the operation management main platform is transmitted to the energy data transfer platform;
the energy data transfer platform is used for gathering, processing and establishing and storing data, transmitting the data to the data acquisition and transmission platform after processing the data, and the acquisition end of the data acquisition and transmission platform is used for acquiring the data of energy equipment, an energy consumption meter, a carbon emission meter and various sensors and uploading the data to the communication network to complete data sharing;
the intelligent operation management main platform comprises energy management, equipment management, metering management, production management and energy digital asset management; the energy management is used for providing energy consumption real-time monitoring, energy scheduling, energy early warning and energy statistical analysis; the equipment management is used for equipment running state data acquisition, equipment alarm, equipment inspection, remote control and the like; the metering management is used for providing energy user fee control, energy transaction, demand side management, carbon emission metering and the like; the production management is used for providing the functions of production data, yield statistics, production process and standard alignment management, energy saving evaluation and the like; the energy digital asset management, energy asset digitization and energy data capitalization are used for providing management services such as value evaluation, certification confirmation, asset circulation transaction and the like of the digital asset.
The system also comprises a processor and a server disk, wherein the processor comprises an application server, a platform server, an acquisition server, a real-time library server, a history database server and the like, the number of cores of the application server and the platform server is at least 16 cores, the total number of cores of the acquisition server and the real-time library server is at least 8 cores, and each core of the history database server is at least 32 cores; each of the server disks is at least 300G.
Preferably, the energy management includes customizing a large screen, real-time monitoring, energy scheduling, energy consumption analysis, energy consumption for sub-items, an energy storage management system, a virtual power plant management system, a carbon management system, energy prediction, energy early warning, historical data query and statistics and weather information management.
Preferably, the device management includes a device list, device details, key monitoring devices, device data acquisition and device parameter management.
Preferably, the metering management includes user side information, charging management and query unit, and the query of bill cost is realized through charging management.
Preferably, the large customized screen is divided into an enterprise billboard and an energy card board, which are used for statistics according to a user and statistics according to an energy mode respectively; the real-time monitoring is divided into: equipment operation view, equipment distribution view, energy flow direction view, load curve, equipment group control, power distribution view, video monitoring and the like; the energy scheduling is divided into: scheduling monitoring, scheduling command, scheduling contact, operation mode management and the like; the energy consumption analysis is divided into: energy consumption profile, carbon emission, trend analysis, energy flow direction, benchmarking analysis, homonymy analysis, ring ratio analysis, line loss, energy consumption report and carbon emission meter; the term energy is divided into: dividing the energy profile, dividing the same ratio analysis and dividing the ring ratio analysis; the energy prediction is divided into: predicting energy load and photovoltaic output; the energy early warning is divided into equipment early warning records and equipment early warning rules.
Preferably, the metering management comprises electric energy metering, water metering and fuel gas metering.
Preferably, the operation and maintenance management is used for carrying out scheduled maintenance, fault first-aid repair and scheduled inspection on the equipment.
Preferably, the communication network comprises a 4G/5G base station and a local network, the local network is provided with a WIFI module terminal, a switch, a WIFI access terminal, a controller, a 4G/5G client terminal device and a 4G/5G module terminal, a network splitter is arranged between the 4G/5G base station and the local network, and the network splitter is connected with the local network through an optical fiber.
Preferably, the energy digital asset management, energy asset digitization and energy data capitalization are used for providing management services such as value evaluation, certification authority, asset circulation transaction and the like of the digital asset.
Compared with the prior art, the invention has the following beneficial effects:
the method and the device realize the requirements of scheduling, running and managing various energy sources, meet the requirements of running and maintaining energy facilities, realize data sharing, business and flow fusion and avoid repeated input of data, and the visualized energy source operation and management is favorable for smooth performance of energy efficiency management.
Drawings
FIG. 1 is a block diagram of the structure of the present invention;
FIG. 2 is a tree diagram of an operator in the intelligent operation management main platform according to the present invention;
FIG. 3 is a tree diagram of hierarchical operation ends in the intelligent operation management main platform of the present invention;
fig. 4 is a block diagram showing the structure of embodiment 2 of the present invention.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Example 1
The comprehensive energy operation management cloud platform shown in the figures 1-3 comprises an intelligent operation management main platform, an energy data transfer platform and a data acquisition and transmission platform;
the intelligent operation management main platform is used for collecting, operating, monitoring in real time, operating and the like of energy data, and the data collected by the operation management main platform is transmitted to the energy data transfer platform;
the energy data transfer platform is used for gathering, processing and establishing and storing data, transmitting the data to the data acquisition and transmission platform after processing the data, and the acquisition end of the data acquisition and transmission platform is used for acquiring the data of energy equipment, an energy consumption meter, a carbon emission meter and various sensors and uploading the data to the communication network to complete data sharing;
the intelligent operation management main platform comprises energy management, equipment management, metering management, production management and energy digital asset management; the energy management is used for providing energy consumption real-time monitoring, energy scheduling, energy early warning and energy statistical analysis; the equipment management is used for equipment running state data acquisition, equipment alarm, equipment inspection, remote control and the like; the metering management is used for providing energy user fee control, energy transaction, demand side management, carbon emission metering management and the like; the production management is used for providing the functions of production data, yield statistics, production process and standard alignment management, energy saving evaluation and the like;
the energy digital asset management, energy asset digitization and energy data capitalization are used for providing management services such as value evaluation, certification confirmation, asset circulation transaction and the like of the digital asset.
The system also comprises a processor and a server disk, wherein the processor comprises an application server, a platform server, an acquisition server, a real-time library server, a history database server and the like, the number of cores of the application server and the platform server is at least 16 cores, the total number of cores of the acquisition server and the real-time library server is at least 8 cores, and each core of the history database server is at least 32 cores; each of the server disks is at least 300G.
To take into account the capacity of the processor at peak time and to properly reserve some buffering, it is ensured that the system has room for expansion as traffic grows. In order to maintain a fast response capability, it is proposed to reserve a margin of 20% to 40% for the CPU, so that the above-mentioned number of cores per server guarantees and disk memory size are set.
The whole energy scheduling management system comprises the following functional modules: the method comprises the steps of SCADA (supervisory control and data acquisition), real-time modeling and state sensing of energy, energy safety analysis, early warning and energy optimization scheduling control.
The energy SCADA and digital twin are the most basic application of the comprehensive energy management system, and are mainly used for realizing complete, high-performance and steady-state real-time data acquisition and monitoring functions, and are the basis of all subsequent early warning, control and other functions. The SCADA and digital twin energy realize the data acquisition, monitoring and virtual simulation functions of the comprehensive energy systems such as electricity, heat, cold, natural gas and the like. The system specifically comprises functions of real-time data acquisition and processing, control and regulation, event and alarm processing, automatic recording and printing, network topology coloring, event recall, SOE and the like;
the real-time modeling and state sensing are to utilize the real-time information collected by the energy SCADA and the digital twin to perform real-time topology analysis, state estimation and parameter identification, so that the complete and reliable global comprehensive energy system state is realized, and support is provided for the follow-up energy system operation scheduling control function. The main functions of real-time modeling and state sensing are required to be oriented to an electric, hot/cold and gas energy system, so that the functions of state and measurement maintenance, network topology analysis, measurement prefiltering, observability analysis, automatic generation and processing of pseudo measurement, rule-based network topology error detection, quick decomposition method and data identification of least square estimation, maximum exponential square robust state estimation, MIL-based network topology error detection, parameter identification and estimation and the like are realized;
energy optimization scheduling control, wherein each distributed energy station is a complex coupling system of electric, thermal, cold and natural gas interaction, participates in power grid scheduling and demand side management, and has various operation modes. The comprehensive energy optimization scheduling control is the most core function for realizing the economic operation of the energy station, and the distributed photovoltaic absorption, the full utilization of peak-to-valley electricity price, the reduction of load peak value and the improvement of energy utilization efficiency are realized by cooperating with different adjustable resources. The comprehensive energy optimization scheduling control needs to be oriented to an electric, thermal, cold and natural gas comprehensive energy system to realize coupling complementation and optimal flow of different energy types, so that economic benefit is maximized. The method specifically comprises the functions of comprehensive energy load prediction (day-ahead, short-term and ultra-short-term), carbon emission metering management, distributed photovoltaic output prediction, comprehensive energy day-ahead unit combination, comprehensive energy daily economic dispatch (hour level), comprehensive energy real-time dispatch (minute level) and the like;
the energy safety analysis and early warning is based on an energy system real-time model given by energy real-time modeling and state sensing, and by means of N-1 safety evaluation, N-1 scanning is automatically carried out on power equipment such as energy station power generation equipment, distribution lines, transformers and the like, heating equipment such as a heating pipe network, a circulating pump and the like, equipment such as a gas pipe network, a compressor and the like, potential static potential safety hazards in real-time operation of the comprehensive energy system are found, early warning reports such as branch breaking and the like are given in real time, and processing measures are given.
The energy management comprises a large customizing screen, real-time monitoring, energy scheduling, energy consumption analysis, energy consumption division, an energy storage management system, a virtual power plant management system, a carbon management system, energy prediction, energy early warning, historical data query and statistics and weather information management, wherein the large customizing screen is divided into an enterprise billboard and an energy cardboard, and the large customizing screen is used for statistics according to a user and an energy manner respectively; the real-time monitoring is divided into: equipment operation view, equipment distribution view, energy flow direction view, load curve, equipment group control, power distribution view, video monitoring and the like; the energy scheduling is divided into: scheduling monitoring, scheduling command, scheduling contact, operation mode management and the like; the energy consumption analysis is divided into: energy consumption profile, carbon emission metering management, trend analysis, energy flow direction, benchmarking analysis, homonymy analysis, ring ratio analysis, line loss and energy consumption report; the term energy is divided into: dividing the energy profile, dividing the same ratio analysis and dividing the ring ratio analysis; the energy prediction is divided into: predicting energy load and photovoltaic output; the energy early warning is divided into equipment early warning records and equipment early warning rules.
The equipment management comprises an equipment list, equipment details, key monitoring equipment, equipment data acquisition and equipment parameter management, and the metering management comprises user side information, charging management and a query unit, so that the query of bill cost is realized through the charging management; the metering management comprises electric energy metering, water metering, gas metering and carbon emission metering management.
And the operation and maintenance management is used for carrying out scheduled maintenance, fault rush repair and scheduled inspection on the equipment.
The communication network comprises a 4G/5G base station and a local network, wherein the local network is provided with a WIFI module terminal, a switch, a WIFI access terminal, a controller, 4G/5G client terminal equipment and a 4G/5G module terminal, a network shunt is arranged between the 4G/5G base station and the local network, and the network shunt is connected with the local network through an optical fiber.
The energy digital asset management, energy asset digitization and energy data capitalization are used for providing management services such as value evaluation, certification confirmation, asset circulation transaction and the like of the digital asset.
Example 2
Referring to fig. 4, energy management based on coal chemical industry, management is realized through primary platform deployment, secondary energy station deployment and tertiary energy facility deployment, specifically:
the coal chemical industry energy management comprises management functions of energy monitoring, energy prediction, energy metering, process management, energy balance and the like, and each management unit is configured with different specific function authorities according to unit categories and unit levels.
Energy monitoring includes the detection of electricity, water, gas, and other products. Wherein the power monitoring includes monitoring of conventional three-phase voltage, current and power quality; the monitoring of water mainly refers to industrial water, including industrial water, circulating water, desalted water and the like; industrial gases include nitrogen, hydrogen, low pressure steam, and the like; carbon emission metering monitoring includes monitoring emissions of carbon dioxide, carbon monoxide, methane, hydrogen sulfide, ethylene, nitrogen oxides, and the like; the product monitoring comprises monitoring parameters such as nylon hexa-hexasalt, refined adipic acid, cyclohexane and the like, and hexamethylenediamine, nitric acid, refined benzene, cyclohexanol and the like; when a certain parameter exceeds a set value, alarming and recording.
The energy prediction provides a basis for energy planning so as to realize the plan value distribution of the consumption of resources required by the production process of each workshop energy year, quarter and month.
The energy metering realizes automatic collection of actual values of consumed resources in each production process time period; automatic acquisition is realized gradually, and manual input is stopped.
The carbon emission measurement prediction provides an analysis basis for traceability, measurement standard alignment, monitoring authentication of emission data such as carbon dioxide, carbon monoxide, methane, hydrogen sulfide, ethylene, carbon oxide, nitrogen oxide and the like;
the process management realizes real-time monitoring, overrun alarming and statistical analysis of important process data through the process account management and the monitoring of production process indexes.
The energy balance is compared with the predicted value and the actual value of the consumed energy through the workshop production process,
redistribution of various energy sources (water, electricity, gas, cold, heat, hydrogen) and the like.
And comparing, analyzing and judging the process energy consumption of each production process with the set standard energy consumption and standard carbon emission by managing the targets.
The report module realizes that a user can check various energy consumption statistics and compare reports at the module, and can also check the reports on the mobile phone APP.
The bulletin notice realizes the functions of the administrator of issuing a management system and bulletin, uploading data, realizing the inter-system communication of users, feeding back comments, proposing suggestions, downloading data, viewing documents and the like.
Photovoltaic and new material energy management, combine above-mentioned, specifically:
photovoltaic and new material energy management includes photovoltaic power plant power generation monitoring and silicon carbide plant energy usage monitoring and optimization. Each management unit configures different specific function authorities according to the unit category and the unit level.
The photovoltaic power station energy management comprises monitoring electric operation real-time information of a photovoltaic string, an inverter, a box transformer, a switching station, a distribution box and the like, detecting various operation states of electric equipment, performing fault processing and predicting power generation amount, and optimizing operation according to prediction load prediction.
Silicon carbide plant management includes monitoring plant various energy process data as well as metering data, including data for variable power systems, gas systems, air systems, water systems, on-site production process units, metering systems, and the like. The power supply system is characterized by comprising the functions of monitoring a silicon carbide factory inlet wire switch, a bus-bar switch, an outlet wire switch state, an electric energy operation parameter and the like, monitoring inlet wire current, active power, reactive power, active electric quantity, reactive electric quantity and the like, detecting real-time load, output coefficient and accumulated electric quantity on the same day, and monitoring gas consumption. The real-time water consumption, the accumulated water consumption and the like are monitored, and the real-time water consumption, the accumulated water consumption and the like comprise water consumption statistical information and water consumption real-time information. The water consumption statistical information comprises yesterday accumulated water consumption, current day accumulated water consumption and current day accumulated water consumption; the real-time information of water production comprises real-time water consumption and real-time water temperature.
The energy consumption monitoring mainly realizes statistical calculation of various energy consumption by taking a cost center as a unit, and reasonably determines energy consumption assessment indexes. And (3) calculating comprehensive energy consumption of ton silicon carbide, specific energy consumption of ton silicon carbide, unit yield energy consumption, product energy consumption and the like in a layering manner, and carrying out fine management on standard mining. So as to realize the overall optimization goal of fine management, energy conservation and emission reduction.
The report forms are used for counting the information of the actual power generation amount, the coal consumption amount, the water consumption amount and the like of the current photovoltaic and factories, and the information of equipment faults, economic benefits and the like. And the APP is used for presenting an information pushing function.
The bulletin notice realizes the functions of the administrator of issuing a management system and bulletin, uploading data, realizing the inter-system communication of users, feeding back comments, proposing suggestions, downloading data, viewing documents and the like.
The working principle of the invention is as follows:
referring to fig. 1-4 of the specification, the whole energy scheduling management system comprises the following functional modules: the method comprises the steps of SCADA (supervisory control and data acquisition), real-time modeling and state sensing of energy, energy safety analysis, early warning and energy optimization scheduling control.
The energy SCADA and digital twin are the most basic application of the comprehensive energy management system, and are mainly used for realizing complete, high-performance and steady-state real-time data acquisition and monitoring functions, and are the basis of all subsequent early warning, control and other functions. The SCADA and digital twin energy realize the data acquisition, monitoring and virtual simulation functions of the comprehensive energy systems such as electricity, heat, cold, natural gas and the like. The system specifically comprises functions of real-time data acquisition and processing, control and regulation, event and alarm processing, automatic recording and printing, network topology coloring, event recall, SOE and the like;
the real-time modeling and state sensing are to utilize the real-time information collected by the energy SCADA and the digital twin to perform real-time topology analysis, state estimation and parameter identification, so that the complete and reliable global comprehensive energy system state is realized, and support is provided for the follow-up energy system operation scheduling control function. The main functions of real-time modeling and state sensing are required to be oriented to an electric, thermal/cold and gas energy system, so that the functions of state and measurement maintenance, network topology analysis, measurement prefiltering, observability analysis, automatic trace measurement generation and processing, rule-based network topology error detection, quick decomposition method and data identification of least square estimation, maximum exponential square robust state estimation, MIL-based network topology error detection, parameter identification and estimation and the like are realized;
energy optimization scheduling control, wherein each distributed energy station is a complex coupling system of electric, thermal, cold and natural gas interaction, participates in power grid scheduling and demand side management, and has various operation modes. The comprehensive energy optimization scheduling control is the most core function for realizing the economic operation of the energy station, and the distributed photovoltaic absorption, the full utilization of peak-to-valley electricity price, the reduction of load peak value and the improvement of energy utilization efficiency are realized by cooperating with different adjustable resources. The comprehensive energy optimization scheduling control needs to be oriented to an electric, thermal, cold and natural gas comprehensive energy system to realize coupling complementation and optimal flow of different energy types, so that economic benefit is maximized. The method specifically comprises the functions of comprehensive energy load prediction (day-ahead, short-term and ultra-short-term), carbon emission metering prediction, distributed photovoltaic output prediction, comprehensive energy day-ahead unit combination, comprehensive energy daily economic dispatch (hour level), comprehensive energy real-time dispatch (minute level) and the like;
the energy safety analysis and early warning is based on an energy system real-time model given by energy real-time modeling and state sensing, and by N-1 safety evaluation, power equipment such as energy station power generation equipment, distribution lines, transformers and the like, heating equipment such as a heating pipe network, a circulating pump and the like, and equipment such as a gas pipe network, a compressor and the like are automatically subjected to N-1 scanning, so that potential static potential safety hazards in the real-time operation of the comprehensive energy system are discovered, early warning reports such as branch disconnection and the like are given in real time, and processing measures are given;
to sum up: the invention realizes the requirements of dispatching operation management of various energy sources, meets the requirements of operation and maintenance of energy facilities, realizes the trusted sharing of data tracing, business and flow fusion and avoids repeated input of data, and the visualized energy source operation management is beneficial to integrating energy source flow, data flow, business flow and value flow, and promotes the comprehensive, reliable and smooth performance of platform system energy efficiency, intelligent dispatching and safety control.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. Comprehensive energy operation management cloud platform, its characterized in that: the intelligent operation management system comprises an intelligent operation management main platform, an energy data transfer platform and a data acquisition and transmission platform;
the intelligent operation management main platform is used for collecting and tracing energy data, monitoring in real time, managing data, managing digital assets, performing safe operation, performing intelligent operation and the like, and transmitting the data collected by the operation management main platform to the energy data transfer platform;
the energy data transfer platform is used for data aggregation, treatment and processing, password calculation, verification and authorization, AI model establishment and storage, data processing and transmission to the data acquisition and transmission platform, and the acquisition end of the data acquisition and transmission platform is used for data acquisition of energy equipment, energy consumption meters and various sensors and uploading to the communication network to complete data sharing;
the intelligent operation management main platform comprises energy management, equipment management, metering management, production management and energy digital asset management; the energy management is used for providing energy consumption real-time monitoring, energy scheduling, energy early warning and energy statistical analysis; the equipment management is used for equipment running state data acquisition, equipment alarm, equipment inspection, remote control and the like; the metering management is used for providing energy user fee control, energy transaction, demand side management and the like; the production management is used for providing production data, yield statistics, production process and standard alignment management, energy saving and consumption reduction evaluation, carbon metering, carbon management service and other functions; the energy digital asset management, energy asset digitization and energy data capitalization are used for providing management services such as value evaluation, certification confirmation, asset circulation transaction and the like of the digital asset.
The system also comprises a processor and a server disk, wherein the processor comprises an application server, a platform server, an acquisition server, a real-time library server, a history database server and the like, the number of cores of the application server and the platform server is at least 16 cores, the total number of cores of the acquisition server and the real-time library server is at least 8 cores, and each core of the history database server is at least 32 cores; each of the server disks is at least 300G.
2. The integrated energy operation management cloud platform of claim 1, wherein the energy management comprises a custom large screen, real-time monitoring, energy scheduling, energy consumption analysis, energy consumption by item, carbon management system, energy prediction, energy early warning, historical data query and statistics, and weather information management.
3. The integrated energy operation management cloud platform of claim 1, wherein the device management includes a device list, device details, key monitoring devices, device data collection and device parameter management.
4. The integrated energy operation management cloud platform according to claim 1, wherein the metering management includes a client information, a billing management and a query unit, and the query of billing cost is implemented through the billing management.
5. The integrated energy operation management cloud platform of claim 2, wherein the customized large screen is divided into an enterprise billboard and an energy card board for statistics according to a user and statistics according to an energy mode, respectively; the real-time monitoring is divided into: equipment operation view, equipment distribution view, energy flow direction view, load curve, equipment group control, power distribution view, video monitoring and the like; the energy scheduling is divided into: scheduling monitoring, scheduling command, scheduling contact, operation mode management and the like; the energy consumption analysis is divided into: energy utilization profile, trend analysis, energy flow direction, benchmarking analysis, homonymy analysis, ring ratio analysis, line loss and energy utilization report; the term energy is divided into: dividing the energy profile, dividing the same ratio analysis and dividing the ring ratio analysis; the energy prediction is divided into: predicting energy load and photovoltaic output; the energy early warning is divided into equipment early warning records and equipment early warning rules.
6. The cloud platform of claim 4, wherein said metering management comprises electric energy metering, water metering, steam metering, cold metering, gas metering, and carbon emission metering.
7. The integrated energy operation management cloud platform of claim 1, wherein said operation and maintenance management is configured to schedule maintenance, fault repair, and schedule inspection of equipment.
8. The integrated energy operation management cloud platform of claim 1, wherein the communication network comprises a 4G/5G base station and a local network, a WIFI module terminal, a switch, a WIFI access terminal, a controller, a 4G/5G client terminal device, and a 4G/5G module terminal are arranged on the local network, a network splitter is arranged between the 4G/5G base station and the local network, and the network splitter is connected with the local network by an optical fiber.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117217497A (en) * | 2023-11-07 | 2023-12-12 | 国能日新科技股份有限公司 | Comprehensive energy management platform and comprehensive energy management method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117217497A (en) * | 2023-11-07 | 2023-12-12 | 国能日新科技股份有限公司 | Comprehensive energy management platform and comprehensive energy management method |
| CN117217497B (en) * | 2023-11-07 | 2024-03-15 | 国能日新科技股份有限公司 | Comprehensive energy management platform and comprehensive energy management method |
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Application publication date: 20230905 |