CN112712274A - Big data based energy management system and equipment - Google Patents
Big data based energy management system and equipment Download PDFInfo
- Publication number
- CN112712274A CN112712274A CN202110016066.XA CN202110016066A CN112712274A CN 112712274 A CN112712274 A CN 112712274A CN 202110016066 A CN202110016066 A CN 202110016066A CN 112712274 A CN112712274 A CN 112712274A
- Authority
- CN
- China
- Prior art keywords
- statistical
- label
- energy
- information
- maintenance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 claims abstract description 52
- 238000000034 method Methods 0.000 claims abstract description 10
- 238000009826 distribution Methods 0.000 claims description 49
- 238000012544 monitoring process Methods 0.000 claims description 40
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 13
- 230000008859 change Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 10
- 239000003795 chemical substances by application Substances 0.000 claims description 9
- 230000005611 electricity Effects 0.000 claims description 9
- 238000007619 statistical method Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 4
- 238000007726 management method Methods 0.000 abstract description 52
- 238000011161 development Methods 0.000 abstract description 16
- 230000009286 beneficial effect Effects 0.000 abstract description 8
- 238000005265 energy consumption Methods 0.000 abstract description 8
- 238000005516 engineering process Methods 0.000 abstract description 5
- 230000000694 effects Effects 0.000 abstract description 3
- 230000002452 interceptive effect Effects 0.000 abstract description 3
- 238000004458 analytical method Methods 0.000 abstract description 2
- 238000005065 mining Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 13
- 238000013461 design Methods 0.000 description 10
- 230000010354 integration Effects 0.000 description 9
- 238000003860 storage Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000010276 construction Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000001737 promoting effect Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 206010033799 Paralysis Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000013506 data mapping Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- -1 heat Substances 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- 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
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an energy management system and equipment based on big data, which belong to the field of energy management, develop energy consumption side data deep analysis and mining, support a label system, customer images, intelligent operation and maintenance and other multiple application services by using the big data, intelligent learning, multiple algorithms and other advanced technologies, provide application demonstration effect, are beneficial to development and application popularization of data product services, and assist in scientific sustainable development of novel smart cities. The method is beneficial to supporting the government to create a first-class operator environment and exciting market vitality; energy management and service promotion application based on big data assists the government to master enterprise energy consumption, optimizes operator environment, promotes government affair service efficiency, and satisfies energy consumers' diversified, individualized and interactive demands on energy supply service.
Description
Technical Field
The invention relates to the field of energy management, in particular to an energy management system and equipment based on big data.
Background
In order to promote the development of data products and improve the service capability of the energy big data center, energy management and service improvement construction based on big data are developed based on energy consumption side data. Based on the big data resource of electric power, energy consumption side data such as integration water, heat, gas, UNICOM trade, enterprise's energy consumption data, combine user with can the action data, develop multidimensional, the degree of depth with can data analysis, establish with can the label system, form diversified energy big data product and service, provide wisdom energy services such as customer credit portrait application service, standardized platform management service, information promotion towards government, energy service market, support economic decision, trade planning, operator environment optimization, the novel wisdom city development of helping hand.
The method creates a green, clean, symbiotic, shared and win-win energy service platform, constructs an energy big data ecosystem, converges data information of power, coal, oil gas, heat supply (cold) and the like of related departments of governments and energy industry enterprises, promotes 'production and research' cooperative innovation, provides intelligent service for various links of energy production, supply, consumption, storage, service and the like, becomes a 'strategy source' for promoting economic and social development and government energy strategic decision, becomes an 'incubator' for energy innovation achievement transformation and energy digital product research and development service, and becomes a 'support platform' for urban management innovation and treatment capability modernization.
Disclosure of Invention
The invention provides an energy management system and equipment based on big data to solve the problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
the big data-based energy management system comprises a big data energy management and service system, and the big data energy management and service system comprises: a database; the database is connected with an energy management system and an energy service system, the energy management system is connected with an enterprise multi-dimensional image system, and the energy service system is connected with an intelligent operation and maintenance system and an energy information accurate pushing system;
the enterprise multi-dimensional portrait system is linked with an enterprise label system, a label distribution and statistical analysis system and an enterprise portrait system;
the enterprise label system is connected with a label classification statistical system;
the label distribution and statistical analysis system is linked with a classification label distribution system, an industry-division label distribution system, a label change trend system and a label user GIS distribution system;
the enterprise portrait system is linked with an enterprise label display system and an enterprise portrait depicting system;
the intelligent operation and maintenance system is linked with the intelligent operation and maintenance overview system, the operation and maintenance real-time monitoring system, the operation and maintenance fault alarm system and the operation and maintenance work order management system;
the intelligent operation and maintenance overview system is linked with the general service overview system, the subscriber station statistical overview system and the intelligent operation and maintenance three-level metering system;
the operation and maintenance real-time monitoring system is connected with an energy monitoring system for the whole user station, a power monitoring system for the user station, a water monitoring system for the user station, a gas monitoring system for the user station and an equipment monitoring system;
the operation and maintenance fault alarm system is linked with the fault alarm system and the alarm information statistical system;
the operation and maintenance work order management system is linked with a work order state reminding system, various work order statistical systems, a work order state statistical system and a work order information statistical system;
the energy information accurate pushing system is linked with the energy information statistical system and the energy information publishing system;
the energy information statistical system is linked with various energy information statistical systems;
the energy information publishing system is linked with various energy information publishing statistical systems and various energy information user statistical systems.
Preferably, the label classification statistical system displays label classification statistics according to label categories, regions and different periods of multi-dimension;
the classified label distribution system displays user distribution with different attributes of different classified labels; the industry distribution system of the label in different trades shows the industry distribution of different types of labels, the label change trend system shows the user change trend of different attribute labels under a certain type of label state, and the label user GIS distribution system shows the user GIS distribution condition of different attributes of various types of labels.
Preferably, the certain enterprise tag display system displays a certain enterprise tag; the enterprise portrait depicting system is used for depicting and displaying a multi-dimensional portrait of an enterprise and describing a user according to the label content of the user.
Preferably, the general service overview system displays the opened statistical information of the agent operation and maintenance company, including the access number, the subscriber station number, the equipment number, the work order processing number, the alarm number, and the like of the agent operation and maintenance company; the user station statistics and overview system displays the industry distribution and the regional distribution of the started user stations of the agent operation and maintenance company in a global mode; the intelligent operation and maintenance three-level metering system monitors the intelligent operation and maintenance three-level metering information of the access platform.
Preferably, the user station displays the energy monitoring information for the user station as a whole by using the energy monitoring system; the subscriber station electricity utilization monitoring system displays real-time, daily, monthly and annual electricity utilization information and electricity utilization trends of each working area of the subscriber station, and the subscriber station water utilization monitoring system displays real-time, daily, monthly and annual water consumption and water utilization trends of the subscriber station; the user station gas monitoring system displays and provides real-time, daily, monthly and annual gas flow and trend for the user station; the equipment monitoring system displays the parameter information of the user station equipment and monitors the state of the display equipment in real time.
Preferably, the fault alarm system displays fault alarm information of the operation of the user station equipment; and the alarm information statistical system displays historical alarm information and a state statistical list.
Preferably, the work order state reminding system tracks the work order processing state in time, and highlights the work order needing to be processed to show state reminding; the various work order statistics system displays the various work order quantities and the proportion statistics, the work order state statistics system displays the various work order quantities and the proportion statistics under different states, and the work order information statistics system displays various work order list information.
Preferably, the various energy information statistical system displays the various energy information statistical distribution; the various energy information publishing statistical system displays various energy information publishing statistical distribution; the various energy information user statistical system displays the statistical distribution of various energy information users.
Electronic equipment of a big-data based energy management system applied to a big-data based energy management system, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to execute the big data based energy management system according to any of claims 1 to 8, and the computer program when executed by the processor implements the big data based energy management system according to any of claims 1 to 8.
Compared with the prior art, the invention provides an energy management system and equipment based on big data, and the energy management system and equipment have the following beneficial effects:
1. the invention has the beneficial effects that: the development and the application of the energy data product service are facilitated, and a demonstration effect is formed; energy management and service promotion based on big data, advanced technologies such as big data, intelligent learning and multiple algorithms are used, deep analysis and mining of energy consumption side data are developed, multiple application services such as a label system, customer images and intelligent operation and maintenance are supported, an application demonstration effect is provided, development and application popularization of data product services are facilitated, and scientific sustainable development of a novel smart city is assisted. The method is beneficial to supporting the government to create a first-class operator environment and exciting market vitality; the energy management and service promotion application based on big data assists the government to master enterprise energy consumption, optimizes operator environment, promotes government affair service efficiency, meets the diversified, personalized and interactive requirements of energy consumers on energy supply service, drives quality improvement development and benign competition of upstream and downstream industries in the whole city, leads the rapid development of comprehensive energy service industry, promotes the open win-win of energy market, supports the sustainable growth of economy, and realizes the green development of the city.
2. The invention has the beneficial effects that: the platform is favorable for promoting reasonable energy use of users, accurately positions energy pain points for users, assists users in effectively saving energy and reducing consumption, reduces energy consumption waste, reduces energy cost for users, assists in realizing energy global operation optimization regulation, realizes comprehensive benefit promotion of all-round, multi-way and sustainable demand side energy, and can obtain remarkable economic benefit. The system is beneficial to the development of a comprehensive energy service market, the innovation of a comprehensive energy service mode, the accurate grasp of user requirements, the excavation of service business opportunities, the accurate and effective butt joint of product services and requirements in the future, the improvement of user service quality and user stickiness, and the promotion of service upgrading optimization. The method is beneficial to the development of energy service market potential and supports service mode transformation. The label system logic is established by using advanced technical means, companies are supported to develop accurate collaborative services based on customer figures, intelligent operation and maintenance typical applications are developed, customer features are accurately identified, full-contact business data are communicated, service quality and efficiency are improved, comprehensive energy service potential is mined, a comprehensive energy service market is developed, and assistance is converted to an active innovation service mode.
Drawings
FIG. 1 is a diagram illustrating an overall architecture of an embodiment of a big data based energy management system according to the present invention;
FIG. 2 is a diagram of a business architecture of an embodiment of a big data based energy management system according to the present invention;
FIG. 3 is a diagram of an application architecture of an embodiment of a big data based energy management system according to the present invention;
FIG. 4 is a diagram of an embodiment of a big data based energy management system according to the present invention;
fig. 5 is a diagram of an electronic device according to an embodiment of the big data based energy management device of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example 1:
the big data-based energy management system comprises a big data energy management and service system, and the big data energy management and service system comprises: a database; the database is connected with an energy management system and an energy service system, the energy management system is connected with an enterprise multi-dimensional image system, and the energy service system is connected with an intelligent operation and maintenance system and an energy information accurate pushing system;
the enterprise multi-dimensional portrait system is linked with an enterprise label system, a label distribution and statistical analysis system and an enterprise portrait system;
the enterprise label system is connected with a label classification statistical system;
the label distribution and statistical analysis system is linked with a classification label distribution system, an industry-division label distribution system, a label change trend system and a label user GIS distribution system;
the enterprise portrait system is linked with an enterprise label display system and an enterprise portrait depicting system;
the intelligent operation and maintenance system is linked with the intelligent operation and maintenance overview system, the operation and maintenance real-time monitoring system, the operation and maintenance fault alarm system and the operation and maintenance work order management system;
the intelligent operation and maintenance overview system is linked with the general service overview system, the subscriber station statistical overview system and the intelligent operation and maintenance three-level metering system;
the operation and maintenance real-time monitoring system is connected with an energy monitoring system for the whole user station, a power monitoring system for the user station, a water monitoring system for the user station, a gas monitoring system for the user station and an equipment monitoring system;
the operation and maintenance fault alarm system is linked with the fault alarm system and the alarm information statistical system;
the operation and maintenance work order management system is linked with a work order state reminding system, various work order statistical systems, a work order state statistical system and a work order information statistical system;
the energy information accurate pushing system is linked with the energy information statistical system and the energy information publishing system;
the energy information statistical system is linked with various energy information statistical systems;
the energy information publishing system is linked with various energy information publishing statistical systems and various energy information user statistical systems.
Further, preferably, the label classification statistical system displays label classification statistics according to label categories, regions and different periods of multidimensional display;
the classified label distribution system displays user distribution with different attributes of different classified labels; the industry distribution system of the label in different trades shows the industry distribution of different types of labels, the label change trend system shows the user change trend of different attribute labels under a certain type of label state, and the label user GIS distribution system shows the user GIS distribution condition of different attributes of various types of labels.
Further, preferably, the certain enterprise tag display system displays a certain enterprise tag; the enterprise portrait depicting system is used for depicting and displaying a multi-dimensional portrait of an enterprise and describing a user according to the label content of the user.
Further, preferably, the general service overview system displays the opened statistical information of the agent operation and maintenance company, including the access number, the subscriber station number, the equipment number, the work order processing number, the alarm number, and the like of the agent operation and maintenance company; the user station statistics and overview system displays the industry distribution and the regional distribution of the started user stations of the agent operation and maintenance company in a global mode; the intelligent operation and maintenance three-level metering system monitors the intelligent operation and maintenance three-level metering information of the access platform.
Further, preferably, the user station displays the energy monitoring information for the user station as a whole by using the energy monitoring system; the subscriber station electricity utilization monitoring system displays real-time, daily, monthly and annual electricity utilization information and electricity utilization trends of each working area of the subscriber station, and the subscriber station water utilization monitoring system displays real-time, daily, monthly and annual water consumption and water utilization trends of the subscriber station; the user station gas monitoring system displays and provides real-time, daily, monthly and annual gas flow and trend for the user station; the equipment monitoring system displays the parameter information of the user station equipment and monitors the state of the display equipment in real time.
Further, preferably, the fault alarm system displays fault alarm information of the operation of the user station equipment; and the alarm information statistical system displays historical alarm information and a state statistical list.
Further, preferably, the work order state reminding system tracks the work order processing state in time, and highlights the work order which needs to be processed urgently to show the state reminding; the various work order statistics system displays the various work order quantities and the proportion statistics, the work order state statistics system displays the various work order quantities and the proportion statistics under different states, and the work order information statistics system displays various work order list information.
Further, preferably, the various energy information statistical system displays various energy information statistical distributions; the various energy information publishing statistical system displays various energy information publishing statistical distribution; the various energy information user statistical system displays the statistical distribution of various energy information users.
Example 2:
fig. 5 is a schematic structural diagram of an electronic device implementing the big data based energy management system according to the present invention.
The electronic device 100 may include a processor 101, a memory 102, and a bus, and may further include a computer program, such as a big data based energy management system 103, stored in the memory 102 and executable on the processor 101.
The memory 102 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 102 may in some embodiments be an internal storage unit of the electronic device 100, such as a removable hard disk of the electronic device 100. The memory 102 may also be an external storage device of the electronic device 100 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 100. Further, the memory 102 may also include both an internal storage unit and an external storage device of the electronic device 1001. The memory 102 may be used to store not only application software installed in the electronic device 101 and various types of data, such as codes of a big data based energy management system, but also temporarily store data that has been output or will be output.
The processor 101 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 101 is a Control Unit of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 100 by running or executing programs or modules (such as a seal character detection and recognition program) stored in the memory 102 and calling data stored in the memory 102.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 102 and at least one processor 101 or the like.
Fig. 5 shows only an electronic device with components, and those skilled in the art will appreciate that the structure shown in fig. 5 does not constitute a limitation of the electronic device 100, and may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 100 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 101 through a power management device, so that functions of charge management, discharge management, power consumption management and the like are implemented through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 100 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 100 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (e.g., a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 100 and other electronic devices.
Optionally, the electronic device 100 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), or optionally a standard wired interface, or a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device 100 and for displaying a visualized user interface.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The big data based energy management system 103 stored in the memory 102 of the electronic device 100 is a combination of instructions, which when executed in the processor 101, can implement: for multiple functions, specifically, the processor 101 may refer to the description of the relevant steps in corresponding embodiment 1 for a specific implementation method of the instruction, which is not described herein again.
Further, the modules/units integrated with the electronic device 100 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as independent products. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
Example 3:
the energy management system platform based on big data designs a platform architecture according to the thinking and the principle of 'strong platform, micro application and componentization', separates interface control, service logic and data mapping, realizes loose coupling in the system, and flexibly and quickly responds to the requirements of service change on the system. The platform architecture relies on an Ali cloud platform, a data center platform is constructed to support data access, data management, data calculation and data integration, and an application service layer adopts a micro-service architecture system to construct function display of different service scenes, so that the design characteristics of freedom in expansion, convenience in integration, safety and stability of an energy data platform are met.
The architecture is divided into infrastructure as a service (IaaS), platform layer service (PaaS), and application as a service (SaaS) from bottom to top, as shown in fig. 1.
According to the information project construction methodology of the platform system, the platform system architecture content comprises a business architecture, an application architecture, a technical architecture, a data architecture and a deployment architecture.
The service architecture is shown in fig. 2, the platform service architecture meets the service requirements in the field of energy management and energy service services, and can support cloud platform users to develop various daily services.
The application architecture is as shown in fig. 3, and the energy management and service promotion platform based on big data integrates internal and external related business systems, so that the construction work of two core function designs and public function designs is completed. The core functions comprise energy management, 2 application modules for service, 3 application function (primary function) designs for enterprise multi-dimensional image, intelligent operation and maintenance, accurate energy information push and UI design. The public function comprises application modules such as a portal, account management, a help center and system setting, and supports operation interaction. And supporting display application of related functions at three types of terminals, namely a Web terminal, a large screen terminal and an APP terminal.
The technical architecture is as shown in fig. 4, the platform technical architecture is generally divided into an infrastructure layer, a data layer, a support service layer, a service layer, an application layer and a presentation layer, a unified security and security policy and a unified monitoring and log are run through each layer of the technical architecture, and standardized service capability and data access service are provided on the platform boundary. The cloud platform follows a multilayer distribution application mode, adopts a componentized and dynamic software technology, utilizes a consistent sharable data model, and realizes multilayer technical system design according to a data resource layer, a support service layer, a business logic layer, a business service layer and a presentation layer, and realizes platform interface integration, data integration and application integration through a plurality of integration modes of a service bus, a data exchange platform and a data center so as to meet various application requirements in a platform business range and information interaction requirements of longitudinal communication and transverse integration.
The user may have access to the platform via a network. The access speed is improved by the load balance and page caching; meanwhile, malicious attacks or other surge type accesses are prevented from causing system paralysis, and limitation setting of network speed and connection quantity is carried out.
A presentation layer: the access speed of the page is improved by adopting dynamic and static separation and page staticizing, and the access speed is improved by staticizing the basic information and the picture information of the client aiming at large-capacity intelligent energy management.
An application layer: and carrying out service application development according to service requirements by service calling.
And (3) a service layer: by adopting a Web service technology, system decoupling is realized, services are mutually independent, and the request can be quickly responded; the services may be divided into base services as well as business services.
Supporting a service layer: the method provides field-oriented support service capability, comprises technical platforms such as big data calculation and artificial intelligence, and provides support capability for various application services.
And (3) a data layer: and the concurrency and mass data processing capacity is improved by adopting a distributed data processing technology.
The caching service caches the user session, logs in the verification code information and supports the realization of access stateless. The file system stores unstructured data such as pictures, videos, and other files.
Infrastructure layer: the dynamic resource expansion is performed through virtual cloud by mainly using an x86 server.
The specific virtualization and the physical proportion can be deployed according to actual needs.
The micro-service architecture platform adopts a micro-service architecture mode in order to meet the construction requirements of the platform, so that the design characteristics of freedom in expansion, convenience in integration, safety and stability of the energy data platform are met.
The platform micro-service architecture is designed based on the architecture design concept of strong platform, micro-service and componentization, and takes the linear expansion of application service capability, the linear expansion of database capability, high-performance response under high concurrency, the online development of fast new services, the support of distributed transactions, the controllable development of capability and the like as design targets. The service layer builds the core capability of the energy interactive service based on the micro-service framework, realizes the decoupling of the service and the technology, and provides the universal shared capability for the upper application in the form of public micro-service and service micro-service. The upper layer application can agilely construct a business process, a personalized function and a user interface according to business needs, and a complete end-to-end application is formed by calling the service layer, so that personalized needs and deepened applications of users are effectively supported.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. The big data-based energy management system comprises a big data energy management and service system, and is characterized in that the big data energy management and service system comprises: a database; the database is connected with an energy management system and an energy service system, the energy management system is connected with an enterprise multi-dimensional image system, and the energy service system is connected with an intelligent operation and maintenance system and an energy information accurate pushing system;
the enterprise multi-dimensional portrait system is linked with an enterprise label system, a label distribution and statistical analysis system and an enterprise portrait system;
the enterprise label system is connected with a label classification statistical system;
the label distribution and statistical analysis system is linked with a classification label distribution system, an industry-division label distribution system, a label change trend system and a label user GIS distribution system;
the enterprise portrait system is linked with an enterprise label display system and an enterprise portrait depicting system;
the intelligent operation and maintenance system is linked with the intelligent operation and maintenance overview system, the operation and maintenance real-time monitoring system, the operation and maintenance fault alarm system and the operation and maintenance work order management system;
the intelligent operation and maintenance overview system is linked with the general service overview system, the subscriber station statistical overview system and the intelligent operation and maintenance three-level metering system;
the operation and maintenance real-time monitoring system is connected with an energy monitoring system for the whole user station, a power monitoring system for the user station, a water monitoring system for the user station, a gas monitoring system for the user station and an equipment monitoring system;
the operation and maintenance fault alarm system is linked with the fault alarm system and the alarm information statistical system;
the operation and maintenance work order management system is linked with a work order state reminding system, various work order statistical systems, a work order state statistical system and a work order information statistical system;
the energy information accurate pushing system is linked with the energy information statistical system and the energy information publishing system;
the energy information statistical system is linked with various energy information statistical systems;
the energy information publishing system is linked with various energy information publishing statistical systems and various energy information user statistical systems.
2. The big-data based energy management system according to claim 1, wherein: the label classification statistical system displays label classification statistics according to label categories, regions and different periods of multi-dimension;
the classified label distribution system displays user distribution with different attributes of different classified labels; the industry distribution system of the label in different trades shows the industry distribution of different types of labels, the label change trend system shows the user change trend of different attribute labels under a certain type of label state, and the label user GIS distribution system shows the user GIS distribution condition of different attributes of various types of labels.
3. The big-data based energy management system according to claim 1, wherein: the enterprise label display system displays an enterprise label; the enterprise portrait depicting system is used for depicting and displaying a multi-dimensional portrait of an enterprise and describing a user according to the label content of the user.
4. The big-data based energy management system according to claim 1, wherein: the general service overview system displays the opened statistical information of the agent operation and maintenance company, including the access number, the subscriber station number, the equipment number, the work order processing number, the alarm number and the like of the agent operation and maintenance company; the user station statistics and overview system displays the industry distribution and the regional distribution of the started user stations of the agent operation and maintenance company in a global mode; the intelligent operation and maintenance three-level metering system monitors the intelligent operation and maintenance three-level metering information of the access platform.
5. The big-data based energy management system according to claim 1, wherein: the user station is used for displaying the whole user station energy monitoring information by using the energy monitoring system; the subscriber station electricity utilization monitoring system displays real-time, daily, monthly and annual electricity utilization information and electricity utilization trends of each working area of the subscriber station, and the subscriber station water utilization monitoring system displays real-time, daily, monthly and annual water consumption and water utilization trends of the subscriber station; the user station gas monitoring system displays and provides real-time, daily, monthly and annual gas flow and trend for the user station; the equipment monitoring system displays the parameter information of the user station equipment and monitors the state of the display equipment in real time.
6. The big-data based energy management system according to claim 1, wherein: the fault alarm system displays fault alarm information of the operation of the user station equipment; and the alarm information statistical system displays historical alarm information and a state statistical list.
7. The big-data based energy management system according to claim 1, wherein: the work order state reminding system tracks the work order processing state in time and highlights the work order needing to be processed to show state reminding; the various work order statistics system displays the various work order quantities and the proportion statistics, the work order state statistics system displays the various work order quantities and the proportion statistics under different states, and the work order information statistics system displays various work order list information.
8. The big-data based energy management system according to claim 1, wherein: the various energy information statistical system displays the statistical distribution of the various energy information; the various energy information publishing statistical system displays various energy information publishing statistical distribution; the various energy information user statistical system displays the statistical distribution of various energy information users.
9. The electronic device of big-data based energy management system applied to the big-data based energy management system of claim 1, wherein: the method comprises the following steps: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to execute the big data based energy management system according to any of claims 1 to 8, and the computer program when executed by the processor implements the big data based energy management system according to any of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110016066.XA CN112712274A (en) | 2021-01-07 | 2021-01-07 | Big data based energy management system and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110016066.XA CN112712274A (en) | 2021-01-07 | 2021-01-07 | Big data based energy management system and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112712274A true CN112712274A (en) | 2021-04-27 |
Family
ID=75548405
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110016066.XA Pending CN112712274A (en) | 2021-01-07 | 2021-01-07 | Big data based energy management system and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112712274A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592274A (en) * | 2021-07-23 | 2021-11-02 | 新奥数能科技有限公司 | Enterprise extension method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104240043A (en) * | 2014-10-10 | 2014-12-24 | 国家电网公司 | Full-service centralized management service platform for electric power customer service based on number 95598 |
| CN110175788A (en) * | 2019-05-31 | 2019-08-27 | 国网上海市电力公司 | A kind of smart city energy cloud platform |
-
2021
- 2021-01-07 CN CN202110016066.XA patent/CN112712274A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104240043A (en) * | 2014-10-10 | 2014-12-24 | 国家电网公司 | Full-service centralized management service platform for electric power customer service based on number 95598 |
| CN110175788A (en) * | 2019-05-31 | 2019-08-27 | 国网上海市电力公司 | A kind of smart city energy cloud platform |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592274A (en) * | 2021-07-23 | 2021-11-02 | 新奥数能科技有限公司 | Enterprise extension method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102710793B (en) | Network printing system based on cloud computing and data storage method thereof | |
| Sriram | Green cloud computing: an approach towards sustainability | |
| CN103645795A (en) | Cloud computing data center energy saving method based on ANN (artificial neural network) | |
| CN114691050B (en) | Cloud native storage method, device, equipment and medium based on kubernets | |
| CN107085597A (en) | A kind of storage of BIM models and browsing environment building method based on cloud framework | |
| CN103489139A (en) | Comprehensive analysis and management system for urban distribution network planning | |
| CN112734102A (en) | Cloud manufacturing service system based on industrial cooperation matching and resource sharing business | |
| CN112712274A (en) | Big data based energy management system and equipment | |
| Jia et al. | Development model of enterprise green marketing based on cloud computing | |
| Wang | Analysis on cloud computing-based logistics information network mode | |
| CN101398923A (en) | Service flowpath modelling approach and system based on order number | |
| CN103927637A (en) | Content management system based on SaaS structure | |
| Kannan et al. | Enhanced data communication models for real‐time power system monitoring in a distributed platform | |
| Ya et al. | Survey and Research on the Influencing Factors for the Development of Rural Digital Logistics under the Background of the Internet-Based on Observation of H County, Yunnan Province | |
| Yang | [Retracted] Intelligent Analysis of Logistics Information Based on Dynamic Network Data | |
| Wang | Decision Support System Model of Education Management Based on Cloud Storage Technology | |
| Pang et al. | Explorations of the Intelligence Logistics Mode Based on Big Data | |
| Chen et al. | Design of Log Collection Architecture Based on Cloud Native Technology | |
| Nie et al. | Design and Implementation of Regional Industrial Economic Information Management Cloud Platform Based on Micro-service Architecture | |
| Yang et al. | Flexible automatic detection for security management of dispatching data network | |
| CN202135168U (en) | Physical distribution management system based on cloud computing | |
| Jiao et al. | Dynamic Evacuation Strategy of Public Buildings Based on BIM and Machine Learning | |
| Zhou | Design of Intelligent Scenic Area Guide System Based on Visual Communication | |
| Wang | Design of Logistics Management System for Livestock and Poultry Breeding Enterprises | |
| CN114723401A (en) | Project overall architecture method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |