CN117057126A - Energy-saving management and control system and energy-saving management and control method for park - Google Patents
Energy-saving management and control system and energy-saving management and control method for park Download PDFInfo
- Publication number
- CN117057126A CN117057126A CN202311015452.2A CN202311015452A CN117057126A CN 117057126 A CN117057126 A CN 117057126A CN 202311015452 A CN202311015452 A CN 202311015452A CN 117057126 A CN117057126 A CN 117057126A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- park
- energy
- equipment
- 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
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000004088 simulation Methods 0.000 claims abstract description 54
- 238000005457 optimization Methods 0.000 claims abstract description 50
- 238000004364 calculation method Methods 0.000 claims abstract description 33
- 238000004458 analytical method Methods 0.000 claims abstract description 29
- 238000005265 energy consumption Methods 0.000 claims abstract description 29
- 230000000007 visual effect Effects 0.000 claims abstract description 26
- 238000013079 data visualisation Methods 0.000 claims abstract description 18
- 238000007726 management method Methods 0.000 claims description 33
- 238000012545 processing Methods 0.000 claims description 17
- 238000013500 data storage Methods 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 9
- 238000007405 data analysis Methods 0.000 claims description 9
- 230000002688 persistence Effects 0.000 claims description 8
- 238000004134 energy conservation Methods 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 claims description 7
- 230000002085 persistent effect Effects 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 7
- 238000011161 development Methods 0.000 claims description 6
- 238000010223 real-time analysis Methods 0.000 claims description 4
- 238000013523 data management Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000005094 computer simulation Methods 0.000 abstract description 2
- 230000007246 mechanism Effects 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 9
- 238000004519 manufacturing process Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 3
- 229910052799 carbon Inorganic materials 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000004927 fusion Effects 0.000 description 3
- 238000012800 visualization Methods 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 239000003795 chemical substances by application Substances 0.000 description 2
- 230000006835 compression Effects 0.000 description 2
- 238000007906 compression Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012821 model calculation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000000704 physical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004062 sedimentation Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 239000008186 active pharmaceutical agent Substances 0.000 description 1
- 238000004378 air conditioning Methods 0.000 description 1
- 238000009435 building construction Methods 0.000 description 1
- 239000004566 building material Substances 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- ZLIBICFPKPWGIZ-UHFFFAOYSA-N pyrimethanil Chemical compound CC1=CC(C)=NC(NC=2C=CC=CC=2)=N1 ZLIBICFPKPWGIZ-UHFFFAOYSA-N 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/06—Power analysis or power optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Signal Processing (AREA)
- Public Health (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computer Graphics (AREA)
- Software Systems (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Water Supply & Treatment (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a park energy-saving control system and an energy-saving control method, wherein the park energy-saving control system comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring data of park hardware equipment; the edge calculation module is used for controlling and adjusting park equipment; the foundation platform module is used for improving foundation support; the simulation optimization module is used for constructing an energy consumption analysis model and performing visual configuration; and the data visualization module is used for visualizing and presenting the running conditions of the system and the equipment. The beneficial effects of the invention are as follows: by establishing a multi-scene, multi-device and configurable energy consumption dynamic simulation platform, integrating device mechanism and mathematical analysis models, establishing an energy consumption analysis model library for high-energy consumption devices, setting boundary conditions and adjusting model parameters through a visual configuration tool, and realizing park, system and device-level energy consumption simulation optimization.
Description
Technical Field
The invention relates to the technical field of energy-saving control, in particular to a park energy-saving control system and an energy-saving control method.
Background
With the high-speed development of the economy in China, industrial parks, buildings, commercial streets, office buildings, public buildings and the like are subjected to long-term vigorous development. With the construction of these parks and buildings, carbon emissions and high energy consumption problems are brought about. The building energy consumption relates to a plurality of stages of building material production, building construction and building operation, is not only closely related to carbon emission, but also has great influence on effective utilization of energy sources, especially for large-scale public buildings with high energy consumption, the data center statistics of the national science and technology parts, various industrial parks in the whole country share 15000, the carbon dioxide emission of the parks accounts for 31% of the total emission of the whole country, the energy source production and distribution management modes of most of the parks in the country are not advanced enough, and the space for energy conservation optimization and energy carbon intensity reduction is huge; along with the acceleration of the construction of smart cities and the trend of mature informatization technology in China, the construction requirements of smart parks are continuously increased, and the future development space is wide.
The current campus management has the following problems:
(1) The energy management mode is extensive, and only the electric energy can be managed from the viewpoint of ensuring the normal operation of the equipment, and the electric energy is not managed in a lean way from the viewpoints of terminal environment, use efficiency, production cost, equipment service life and the like;
(2) The sedimentation of management and control experience is difficult, equipment management and control are carried out by manpower, the requirements on the experience and responsibility of professionals are very high, the investment of manpower cost is large, the mobility of basic-level property personnel is high, and the sedimentation of energy consumption management experience is difficult;
(3) The energy consumption management is difficult to optimize, intelligent terminal equipment in a park is various in types and brands, part of equipment and power supply lines are old, the production process is lag, the efficiency is low, the power consumption is high, the waste is very serious, but due to the lack of scientific and effective electric energy utilization and electric energy quality management means, global thinking and macroscopic regulation and control are difficult to carry out through manpower;
(4) The green electricity access proportion is lower, and from the analysis of the park energy structure, park power supply adopting power grid power supply still mainly depends on fossil energy because of being limited by the current state of electric energy production in China.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention provides a park energy-saving management and control system and a park energy-saving management and control method.
The invention discloses a park energy-saving management and control system, which comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring data of park hardware equipment; the edge calculation module is used for controlling and adjusting park equipment; the foundation platform module is used for improving foundation support; the simulation optimization module is used for constructing an energy consumption analysis model and performing visual configuration; and the data visualization module is used for visualizing and presenting the running conditions of the system and the equipment.
On the basis, the park energy-saving management and control system further comprises a data processing module, wherein the data processing module is used for accessing, analyzing and storing data acquired by the data acquisition and edge calculation module.
On the basis, the basic platform comprises a front-end module, a micro-service module and a persistent layer, wherein the front-end module is used for displaying the calculation analysis result of the corresponding application; the micro-service module is used for carrying out calculation, analysis and management according to the requirements of different service scenes; the persistence layer is used for providing data support for the front end of the basic platform and the micro-service, the simulation optimization module and the data visualization.
On the basis, the front-end module comprises data display, equipment detection, anomaly monitoring, operation assessment, alarm analysis, statistical report and system management, the micro-service module comprises timing tasks, real-time data service, user service, statistical report service, monitoring alarm service and data management service, and the persistent layer adopts MySQL and an industrial time sequence database SIPHD.
On the basis, the data processing module comprises a data access, a data storage, a data analysis, an AI and a CDH cluster, wherein the data access, the data storage, the data analysis and the AI adopt a cloud agent cluster and a Kafka cluster, and the CDH cluster comprises a real-time analysis, batch processing and a distributed storage system HBase.
On the basis, the simulation optimizing module comprises energy consumption analysis model library construction and visual configuration, and is connected with the data visualization module.
On the basis, the data visualization module adopts GIS, BIM and WEBGL.
A park energy-saving control method comprises the following steps:
s1, acquiring park equipment scene information;
s2, constructing a simulation optimization model and adjusting model parameters through a simulation optimization module based on park equipment scene information;
s3, deploying the simulation optimization model into an edge calculation module;
s4, acquiring real-time operation data of the park equipment system based on data acquisition, and performing real-time calculation through a simulation optimization model;
s5, controlling and adjusting park equipment through edge calculation based on the energy-saving control index;
s6, the simulation optimization module calculates data in real time and transmits the data to the big data cluster;
s7, constructing a three-dimensional visual scene through a three-dimensional visual engine and a development framework based on park equipment scene information;
and S8, displaying the three-dimensional visual scene through the data visual module.
Compared with the prior art, the invention has the beneficial effects that:
(1) According to the invention, a multi-scene, multi-device and configurable energy consumption dynamic simulation platform is established, a device mechanism and a data analysis model are fused, an energy consumption analysis model library for high-energy consumption devices is established, and the energy consumption simulation optimization of parks, systems and device levels is realized by setting boundary conditions and adjusting model parameters through a visual configuration tool.
(2) According to the method, on the premise of guaranteeing building comfort and production energy requirements, a park energy-saving control strategy is established based on the equipment and system dynamic energy consumption simulation model, and park energy consumption is reduced through real-time automatic control.
(3) According to the multi-protocol Internet of things data acquisition technology for complex scenes, GIS+BIM+simulation cross-platform and cross-scene fusion rendering and data visualization engine.
Drawings
FIG. 1 is a schematic diagram of a big data application scenario energy-saving management and control system structure of the invention;
FIG. 2 is a schematic diagram of the energy-saving control system for the non-big data application scene;
FIG. 3 is a flow chart of the steps of the energy saving control method of the present invention.
Detailed Description
The invention will be described in further detail below with reference to the drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention discloses a park energy-saving management and control system, which comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring data of park hardware equipment; the edge calculation module is used for controlling and adjusting park equipment; a base platform module for providing base support; the simulation optimization module is used for constructing an energy consumption analysis model and performing visual configuration; and the data visualization module is used for visualizing and presenting the running conditions of the system and the equipment.
Example 1
Based on the context of the big data application,
the basic platform module comprises a front end, a micro service and a persistence layer, wherein the front end is used for displaying the calculation analysis result, the micro service is used for calculation analysis management, the persistence layer is used for providing data support for the front end of the basic platform and the micro service, the simulation optimizing module and the data visualizing module, the front end is a front end application which is developed according to the service display requirement, the micro service is a back end basic application which is developed by the basic platform according to the service,
the front end comprises data display, equipment detection, anomaly monitoring, operation assessment, alarm analysis, statistical report and system management; the micro service module comprises a timing task, a real-time data service, a user service, a statistics report service, a monitoring alarm service and a data management service; the persistence layer adopts MySQL and an industrial time sequence database SIPHD, the MySQL is used for storing relational data of a basic platform micro-service and a simulation optimization module, and the SIPHD is used for storing time sequence data of equipment operation.
The energy-saving management and control system also comprises a data processing module which is used for accessing, analyzing and storing the data acquired by the edge computing module; the data processing module comprises a data access, data storage, data analysis, AI and CDH clusters, the data access, the data storage, the data analysis and the AI adopt cloud agent clusters and Kafka clusters, the CDH clusters comprise real-time analysis, batch processing and distributed storage systems HBase, the data storage in the data processing module is used for data storage under a big data scene, HBase is a distributed and scalable big data storage depending on Hadoop, a Hadoop Distributed File System (HDFS) is designed into a distributed file system suitable for running on general hardware (commodity hardware), data of different data sources such as equipment running data, logs and data structures are transmitted through the Kafka based on data acquisition under the big data platform, and Kafka is an open source stream processing platform developed by the Apache software foundation and written in HDFS, mongoDB, redis by Scala and Java. HDFS is a distributed file system, mapReduce is a programming model for parallel operations on large-scale data sets (greater than 1 TB), hive is a Hadoop-based data warehouse tool that can map structured data files into a database table and provide complete sql query functions, can convert sql statements into MapReduce tasks for execution, and Apache Spark is a fast general-purpose computing engine designed for large-scale data processing. The data on the HDFS is read through a MapReduce, hive, spark computing task to calculate, then the result is written into HDFS, mongoDB, redis, mongoDB is a database based on distributed file storage, redis is an open-source log-type, key-Value database which is written by ANSI C language, supports network, can be based on memory and can be persistent, and provides APIs of multiple languages, and a simulation optimizing module, a micro-service and a data visualization module can be obtained from MongoDB, redis to analyze, calculate and display.
The simulation optimization module comprises an energy consumption analysis model library construction and visual configuration, wherein the energy consumption analysis model library construction is a process of constructing an energy consumption analysis model based on a physical property component, a mathematical component, a connector component, a data component, a machine learning component and a solver component of the simulation optimization module, the energy consumption analysis model is formed by dragging model visual connection under various components on a web interface, a model system is initialized after the model construction is completed, real-time or historical operation data of equipment is acquired through connection with a data service to start model calculation, and a time range needing simulation can be selected for recalculation; after the simulation is completed, the indexes, the original measuring points and the comparison graph can be displayed through the trend graph, or only part of the trend graph of the required parameters is displayed, and the simulation data can be derived.
The simulation optimization module is connected with the data visualization module, the data visualization module adopts GIS, BIM and WEBGL, and 3D visualization of park information and energy-saving data in different dimensions is realized by constructing a light-weight, GIS and BIM fusion engine based on the WebGL technology; building models are built on the basis of various buildings in the park by using BIM technology, the produced models are optimized through later-stage software processing, high-definition three-dimensional model data are obtained, and then the scenes or key information such as park scenes, equipment systems, operation data and energy-saving parameters are displayed in a three-dimensional visual mode by combining data of associated GIS maps and data services.
Each system of the park hardware equipment is connected to the switch through a network cable, an optical fiber or WiFi, and is communicated with the acquisition server, the data acquisition and edge calculation module acquires data of the park equipment through a Modbus protocol, the data are transmitted to the data processing module of the cloud, the field end is connected to the cloud through a 5G network, and a firewall is deployed to ensure network safety; the cloud deployment system comprises a cloud deployment data storage module, a basic platform module, a simulation optimization module and a data visualization module.
The data service adopts a large data platform, and data of different data sources such as equipment operation data, logs and the like and data structures are transmitted through kafka and stored in HDFS, mongoDB, redis by the data acquisition of the large data platform; mapReduce, hive, spark and other computing tasks read data on the HDFS to calculate, then write the result into HDFS, mongoDB, redis, and the data service runs data for the simulation optimization module and optimizes parameters of the user model.
The simulation optimizing module generates a simulation model under a specific scene after completing the model establishment and model optimizing process, the established simulation model is transmitted to the edge calculating module, and the edge calculating module completes calculation and equipment control by combining real-time operation data and the model. And (3) carrying out optimization calculation on the simulation optimization module by combining real-time operation data of the big data platform with the model, writing calculation results into a database of the big data platform or a database of the basic platform module, and completing control optimization of the equipment according to the optimization results.
The data service provides data for applications on a basic platform, the basic platform adopts a framework with micro-services and front and rear ends separated, the application services of the basic platform are continuously integrated according to service requirements, the calculation analysis result data of the application services can be stored in a large data platform database or a persistent layer, the data service provides display data for data visualization, the data of equipment and systems are displayed through GIS, BIM, WEBGL and other technologies, and the data of the data visualization service can also be derived from the persistent layer database of the basic platform.
Example two
Based on the scenario of non-big data applications, the first difference from the embodiment is that there is no data processing module.
After the operation data of each system of the park hardware equipment is acquired, the operation data are transmitted to a database of a persistence layer, the persistence layer provides data for the simulation optimization module to complete model parameter optimization work, the application and control flow of the created simulation model are the same as those in a big data scene, the persistence layer provides data for the data visualization module on one hand, the data of the equipment and the system are displayed through the GIS, BIM, WEBGL technology, and on the other hand, the application service and the front end of the basic platform are provided with data, and the analysis and calculation results of the application are kept.
Example III
An energy-saving control method comprises the following steps:
s1, acquiring park equipment scene information;
s2, building an energy consumption analysis model through a simulation optimization module based on park equipment scene information, and adjusting a simulation optimization model and model parameters;
s3, deploying the simulation optimization model into an edge calculation module;
s4, acquiring real-time operation data of the park equipment system based on data acquisition, and performing real-time calculation through the simulation optimization model in the step S3;
s5, controlling and adjusting park equipment through edge calculation based on the energy-saving control index;
s6, the simulation optimization module calculates data in real time and transmits the data to the big data cluster;
s7, constructing a three-dimensional visual scene through a three-dimensional visual engine and a development framework based on park equipment scene information;
and S8, displaying the three-dimensional visual scene through the data visual module.
The campus device scene information includes work device system information including lighting systems, such as office lighting LED related devices, and desired energy saving effects; heating and ventilation systems, such as air conditioning, heat pump; and air compression station systems, such as air compression stations. The equipment system information comprises equipment system composition, position distribution, action space range and equipment environment working condition information, and the expected energy saving effect can be set to be 10% -15% according to seasonal changes and different equipment working condition environments.
According to the equipment system information and the expected energy saving effect, on a visual management interface, the physical property component, the mathematical component, the connector component, the data component, the machine learning component and the model visual connection under the solver component based on the simulation optimization module are combined into an energy consumption analysis model of the equipment system, so that the construction of the simulation optimization system model is completed;
the system comprises a data acquisition module, a large data module, a simulation optimization module, a data analysis module and a simulation optimization module, wherein the data acquisition module is connected with a park hardware device through a communication protocol and then acquires data, the data is transmitted to a database through a network, the transverse and longitudinal data transparent interaction of the system is realized, the large data module is used for realizing the storage and analysis of the data information of the device system, a large data cluster and a data analysis algorithm are researched, massive data scale and rapid real-time data circulation are supported, and the energy consumption analysis optimization system model for high-energy consumption equipment, which is built in the simulation optimization module, is calculated by acquiring real-time and/or historical data in the large data module, so that the parameter adjustment and functional iteration perfection of the simulation optimization system model are completed;
the method comprises the steps that an iterative perfect simulation optimization model is deployed in an edge calculation module, a data acquisition module is connected with park hardware equipment through a communication protocol, data are acquired and transmitted to the edge calculation module through a network to realize real-time calculation, lightweight calculation and real-time analysis of the data in the park are realized based on the edge calculation, and the expected energy saving effect of the equipment system is realized;
the equipment simulation optimization model deployed in the edge computing end transmits the data calculated in real time to the data processing module for storage, the equipment simulation optimization model established in the simulation optimization module acquires real-time and/or historical data from the data module, the model calculation is continuously carried out to realize real-time iterative upgrading and perfection of the model so as to achieve the expected control optimization effect, the calculation data and the model parameters are transmitted to the data module for storage, and the equipment optimization model can be synchronously updated to the edge computing end for upgrading and optimizing the adjustment of the equipment system when the equipment optimization model is needed;
building a building model by using BIM technology based on various buildings in a park, optimizing the produced model through later-stage software processing to obtain high-definition three-dimensional model data, and realizing three-dimensional visual presentation by combining data of a related GIS map and data service and constructing a lightweight GIS+BIM fusion engine based on WebGL technology; based on real-time and/or historical data stored by the data processing module and early warning, monitoring and management function data contained by the basic platform module, the park information, energy-saving data and the like with different dimensions are checked through the visualization module, and the three-dimensional visualization of the park scenes, equipment systems, operation data, energy-saving parameters and other scenes or key information is realized.
In the description of the present invention, it should be understood that the terms "coaxial," "bottom," "one end," "top," "middle," "another end," "upper," "one side," "top," "inner," "front," "center," "two ends," etc. indicate orientations or positional relationships based on the orientation 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 devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "configured," "connected," "secured," "screwed," "cushioned," and the like are to be construed broadly, and may, for example, be fixedly connected, detachably connected, or integrated; can be mechanically or electrically connected; either directly or indirectly through intermediaries, or in communication with each other or in interaction with each other, unless explicitly defined otherwise, the meaning of the terms described above in this application will be understood by those of ordinary skill in the art in view of the specific circumstances.
While the foregoing description illustrates and describes the preferred embodiments of the present invention, as noted above, it is to be understood that the invention is not limited to the forms disclosed herein but is not to be construed as excluding other embodiments, and that various other combinations, modifications and environments are possible and may be made within the scope of the inventive concepts described herein, either by way of the foregoing teachings or by those of skill or knowledge of the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.
Claims (8)
1. The utility model provides a garden energy-saving management and control system which characterized in that: comprising
The data acquisition module is used for acquiring data of the hardware equipment in the park;
the edge calculation module is used for controlling and adjusting park equipment;
the foundation platform module is used for improving foundation support;
the simulation optimization module is used for constructing an energy consumption analysis model and performing visual configuration;
and the data visualization module is used for visualizing and presenting the running conditions of the system and the equipment.
2. The campus energy conservation management and control system of claim 1, wherein: the system also comprises a data processing module which is used for accessing, analyzing and storing the data acquired by the data acquisition and edge calculation module.
3. The campus energy conservation management and control system of claim 1, wherein: the basic platform comprises a front-end module, a micro-service module and a persistent layer,
the front-end module is used for displaying the calculation analysis result of the corresponding application;
the micro-service module is used for carrying out calculation, analysis and management according to the requirements of different service scenes;
the persistence layer is used for providing data support for the front end of the basic platform and the micro-service, the simulation optimization module and the data visualization.
4. The campus energy conservation management and control system of claim 3, wherein: the front-end module comprises data display, equipment detection, anomaly monitoring, operation assessment, alarm analysis, statistics report and system management, the micro-service module comprises timing tasks, real-time data service, user service, statistics report service, monitoring alarm service and data management service, and the persistent layer adopts MySQL and an industrial time sequence database SIPHD.
5. The campus energy conservation management and control system of claim 2, wherein: the data processing module comprises a data access, a data storage, a data analysis, an AI and a CDH cluster, wherein the data access, the data storage, the data analysis and the AI adopt a cloud agent cluster and a Kafka cluster, and the CDH cluster comprises a real-time analysis, batch processing and distributed storage system HBase.
6. The campus energy conservation management and control system of claim 1, wherein: the simulation optimizing module comprises energy consumption analysis model library construction and visual configuration, and is connected with the data visualization module.
7. The campus energy conservation management and control system of claim 1, wherein: and the data visualization module adopts GIS, BIM and WEBGL.
8. The energy-saving management and control method for the park is characterized by comprising the following steps of:
s1, acquiring scene information of park equipment,
s2, constructing a simulation optimization model and adjusting model parameters through a simulation optimization module based on park equipment scene information
S3, deploying the simulation optimization model into an edge calculation module;
s4, acquiring real-time operation data of the park equipment system based on data acquisition, and performing real-time calculation through a simulation optimization model;
s5, controlling and adjusting park equipment through edge calculation based on the energy-saving control index;
s6, the simulation optimization module calculates data in real time and transmits the data to the big data cluster;
s7, constructing a three-dimensional visual scene through a three-dimensional visual engine and a development framework based on park equipment scene information;
and S8, displaying the three-dimensional visual scene through the data visual module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311015452.2A CN117057126A (en) | 2023-08-11 | 2023-08-11 | Energy-saving management and control system and energy-saving management and control method for park |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311015452.2A CN117057126A (en) | 2023-08-11 | 2023-08-11 | Energy-saving management and control system and energy-saving management and control method for park |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117057126A true CN117057126A (en) | 2023-11-14 |
Family
ID=88654630
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311015452.2A Pending CN117057126A (en) | 2023-08-11 | 2023-08-11 | Energy-saving management and control system and energy-saving management and control method for park |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117057126A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117787659A (en) * | 2024-02-23 | 2024-03-29 | 中建照明有限公司 | Smart city energy management system and method based on 5G |
-
2023
- 2023-08-11 CN CN202311015452.2A patent/CN117057126A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117787659A (en) * | 2024-02-23 | 2024-03-29 | 中建照明有限公司 | Smart city energy management system and method based on 5G |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107402976B (en) | Power grid multi-source data fusion method and system based on multi-element heterogeneous model | |
| CN106776963B (en) | The online method for visualizing of light-weighted BIM big data and system | |
| CN110866320B (en) | Automatic intelligent platform region graph generation method and system | |
| CN110471979B (en) | Power grid information display simulation system based on multi-source simulation data aggregation and mining | |
| CN109408548A (en) | A kind of urban electric power big data application system and method | |
| CN106950902A (en) | A kind of electric integrated automatic monitoring system | |
| CN109284346A (en) | A kind of distribution network planning method and device based on cloud computing | |
| CN112733413B (en) | Chemical hazard information fusion demonstration system | |
| CN117057126A (en) | Energy-saving management and control system and energy-saving management and control method for park | |
| CN104751505A (en) | Three-dimensional scene rendering algorithm based on LOD (Levels of Detail) model and quadtree level structure | |
| CN107590749A (en) | A kind of processing method and system with electricity consumption data | |
| CN109525192A (en) | The method for realizing monitoring photovoltaic plant is modeled using 3 D stereo | |
| CN111598376A (en) | Method and system for carrying out auxiliary decision-making on power grid big data based on information driving | |
| CN103489139A (en) | Comprehensive analysis and management system for urban distribution network planning | |
| CN113066160A (en) | Indoor mobile robot scene data and test case generation method thereof | |
| CN110956692A (en) | Method for combining three-dimensional scene visualization based on power supply reliability data analysis | |
| CN113590706A (en) | Visualization platform based on CIM | |
| CN111211557B (en) | Multi-level multi-branch power grid structure planning method and system | |
| CN117113471A (en) | City simulation model algorithm based on CIM technology | |
| Wu et al. | Study of GIS-oriented graphical management system for power grid planning based on cloud service | |
| Shao et al. | Research on Construction and Application of Power Distribution Internet of Things | |
| CN114153913A (en) | Power grid data visual display method | |
| CN111813401B (en) | Graphic assembly method and system in drawing modeling tool based on B/S architecture | |
| CN114637815A (en) | Basic geographic entity data updating method and system | |
| CN114419239A (en) | Automatic cutting method and device for power transmission line channel oblique photography tower model |
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 |