CN114765617A - Multi-scene applicable intelligent energy management system based on edge calculation - Google Patents
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Abstract
The invention discloses a multi-scenario-applicable intelligent energy management system based on edge computing, wherein a required basic framework comprises a cloud, edge gateway equipment and a monitoring control system, the cloud integrally comprises a data receiving platform, a data analysis platform and a data storage platform, the edge gateway equipment comprises an intelligent Internet of things gateway, a connection terminal sensing layer and a network connection assembly, the monitoring control system comprises a monitoring camera, a sensor chip, mining equipment, transportation equipment and storage equipment, and the connection terminal sensing layer comprises an environment sensing assembly and an energy sensing assembly. According to the edge-computing-based multi-scenario-applicable intelligent energy management system, the energy management data under different application scenarios are analyzed and integrated in an edge cloud cooperation mode with a cloud end, edge gateway equipment and a monitoring control system as a basic service framework, and data risk can be reduced on the basis that data transmission and signal control are based on a network.
Description
Technical Field
The invention relates to the technical field of energy management, in particular to a multi-scenario applicable intelligent energy management system based on edge calculation.
Background
Energy management is the general term for scientific planning, organization, inspection, control and supervision of the overall process of production, distribution, conversion and consumption of energy. The content comprises the following steps: making a correct energy development policy and an energy-saving policy, continuously perfecting energy planning, energy laws and regulations and an energy control system, and well arranging the production and management of industrial energy and domestic energy; the method is characterized by comprising the following steps of enhancing energy equipment management, carrying out technical transformation and updating on a boiler, an industrial kiln, various electrical appliances and the like in time, improving energy utilization rate, carrying out energy quota management, calculating indexes of effective energy consumption and technological loss, checking various energy consumption quotations layer by layer, putting the energy consumption quotations into a workshop, a team and an individual through an economic responsibility system and a reward and punishment system, supervising and urging the enterprise to reach an advanced energy consumption level, regularly checking key enterprises with high energy consumption, carrying out technical analysis on the effective energy utilization degree of key projects and key equipment, establishing a sound and full energy management system, forming an energy management network combining professional management and mass management, and educating workers to establish energy-saving consciousness and continuously enhance metering supervision, standard supervision and statistical supervision on energy consumption.
However, in the conventional energy management, a manual meter reading mode and an experience monitoring mode are mainly adopted to manually input and analyze data, so that the efficiency is low, the cost is high, most importantly, the manual recording error is large, the data cannot be recorded in real time, a plurality of key measuring points are lost, and the intelligent application of data driving is difficult to realize.
Disclosure of Invention
The invention aims to provide a multi-scene applicable intelligent energy management system based on edge calculation, and aims to solve the problems that manual meter reading and experience monitoring in the background technology are low in efficiency and high in cost, data cannot be recorded in real time, and a plurality of key measuring points are easily lost.
In order to achieve the purpose, the invention provides the following technical scheme: many scenes are suitable for type wisdom energy management system based on edge calculation, required basic frame include high in the clouds, edge gateway equipment and monitor control system, the high in the clouds is whole to be constituteed by data receiving platform, data analysis platform and data storage platform, edge gateway equipment comprises intelligent thing networking gateway, connecting terminal perception layer and network connection subassembly, monitor control system comprises surveillance camera head, sensor chip, exploitation equipment, transportation equipment and storage device, the connecting terminal perception layer comprises environment perception subassembly and energy perception subassembly, and basic frame realizes the energy management under the different application scenes through following step:
the method comprises the following steps: data acquisition and analysis under different scenes are carried out, under different use environments, the intelligent Internet of things gateway in the edge gateway equipment is mutually connected with equipment such as a water meter, an electric meter, a gas meter and a heat meter which are connected with a terminal sensing layer, smooth data transmission among the equipment can be ensured, when normal use work is carried out under different use environments, stable and smooth real-time acquisition is carried out on original data of all the equipment at the edge side, and the acquired data is directly processed and analyzed in real time by adopting external analysis equipment, so that basic real-time data under different use environments are obtained;
step two: analyzing and identifying, determining a strategy, performing centralized integration on high-value data in the collected real-time data information, interacting the processed and collected high-value data with a data receiving platform in a cloud end through a network connecting assembly, performing overall network security and risk analysis on the interacted high-value data by the data analyzing platform in the cloud end in combination with the internet, performing large data combination analysis and estimation and artificial intelligent mode identification, performing operations such as energy conservation and strategy improvement respectively according to specific conditions of the analyzed data, and performing integrated classified storage on the high-value data determining the strategy through a data storage platform in the cloud end;
step three: the method comprises the steps of optimizing data and establishing a model, performing local optimization control by combining analyzed integrated data through intelligent management signals returned from a cloud of a data analysis platform, realizing automatic fault processing, load identification, modeling and other operations, reasonably planning and integrating energy sources in different use scenes and use environments, and analyzing to obtain an optimal processing strategy;
step four: and combining the data, allocating resources, performing appropriate scheduling in corresponding fields on mining equipment, transportation equipment and storage equipment by utilizing a monitoring camera and a sensor chip in the monitoring control system according to the analyzed and integrated high-value data stored in the data storage platform through optimal resource allocation, and optimizing an adaptation mode of the associated cloud network management to realize energy management of a fixed management mode in different application scenes.
Preferably, the data receiving platform, the data analysis platform and the data storage platform in the cloud are all based on the internet and sequentially perform data processing work, and the data receiving platform and the intelligent internet of things gateway are connected through the network connecting component on the basis of the same network.
Preferably, the environment sensing assembly in the connection terminal sensing layer comprises external resource counting equipment such as a thermometer and a hygrometer, and the energy sensing assembly in the connection terminal sensing layer comprises equipment such as a water meter, an electric meter, a gas meter and a heat meter.
Preferably, the data receiving platform sends a management signal to the edge gateway device, so that the edge gateway device sends a control signal to the monitoring control system, and the monitoring control system collects mutual original data through the outside and sends the mutual original data to the edge gateway device.
Preferably, the edge gateway device processes and analyzes the original data in real time by means of an external analysis device through an intelligent internet of things gateway and a connection terminal sensing layer, sends the result data obtained through analysis to a data receiving platform in a cloud end through a network connection state, and integrates and analyzes the result data by using a data analysis platform.
Preferably, a monitoring camera and a sensor chip in the monitoring control system are all connected with the edge gateway device on the basis of the same network, and mining equipment, transportation equipment and storage equipment in the monitoring control system are all controlled by an external control end through the edge gateway device.
Preferably, the data analysis platform can be combined with the data of the whole network to carry out risk comparison under a network environment, and the data storage platform can stably store the safety data analyzed and integrated by the data analysis platform.
Preferably, the sensing acquisition devices of the sensing layers of the connection terminal under different use environments and different application scenes are different, and the signal transmission and the data transmission of the side cloud coordination mode in the above steps adopt a reverse synchronous transmission mode.
Preferably, the data acquisition and analysis in the first step under different scenes aims to obtain basic real-time data in different use environments by mutually connecting the intelligent internet of things gateway in the edge gateway device with each device of the connection terminal sensing layer and ensuring smooth data transmission among the devices, the analysis and the recognition in the second step determine countermeasures, the aim of intensively integrating high-value data in the acquired real-time data information is realized, the high-value data for determining the countermeasures are integrated and classified and stored by the data storage platform in the cloud, and meanwhile, the continuous implementation characteristics of mutual correlation exist between the first step and the second step.
Preferably, the data in the third step is optimized and a model is established, the specific scheme is that local optimization control is performed by combining analyzed and integrated data through an intelligent management signal returned from a data analysis platform cloud, the final purpose is to reasonably plan and integrate energy sources in different use scenes and use environments, and an optimal processing strategy is obtained by analyzing, the data in the fourth step is combined to allocate resources, the final purpose is to achieve energy management of a fixed management mode in different application scenes, the fourth step is a final step of performing combined implementation by combining all the steps, and the implementation sequence of the first step to the fourth step cannot be changed randomly.
Compared with the prior art, the invention has the beneficial effects that: the intelligent energy management system based on edge computing and applicable to multiple scenes analyzes and integrates energy management data under different application scenes by adopting a side cloud cooperation mode taking a cloud end, edge gateway equipment and a monitoring control system as a basic service framework, replaces the original energy management mode of manually recording and analyzing the data by adopting a mode of manually recording and monitoring, can reduce the working cost on the basis of greatly improving the energy management efficiency, can reduce the data risk, ensure the storage safety of high-value data, reduce the recording error of real-time data, cannot lose key measuring points, can combine with data-driven intelligent application to enable the integral data management scheduling work to be more accurate and stable, and simultaneously realizes the reverse synchronous transmission of signals and data, the system can enable the whole energy management work to be more efficient, data acquisition and analysis under different scenes are carried out, under different use environments, equipment such as an intelligent Internet of things gateway in edge gateway equipment and a water meter, an electric meter, a gas meter, a heat energy meter and the like on a sensing layer of a connecting terminal are connected with one another, smooth data transmission among the equipment can be ensured, when normal use work is carried out under different use environments, stable and smooth real-time acquisition is carried out on raw data of all equipment on an edge side, the acquired data are directly processed and analyzed in real time by adopting external analysis equipment, basic real-time data under different use environments are obtained, high-value data in acquired real-time data information are concentrated and integrated, the processed and collected high-value data are interacted with a data receiving platform in a cloud side through a network connecting component, and the data analysis platform in the cloud side is combined with the Internet to carry out safety and risk analysis of the whole network on the interacted high-value data Performing large data analysis and estimation and artificial intelligence mode identification, respectively performing energy saving and strategy improvement according to the specific conditions of the analyzed data, performing integrated classified storage on the high-value data for determining the countermeasures through a data storage platform in the cloud, the intelligent management signals returned from the cloud of the data analysis platform are combined with the analyzed and integrated data to carry out local optimization control, so that the operations of automatic fault processing, load identification, modeling and the like can be realized, energy sources under different use scenes and use environments can be reasonably planned and integrated, and analyzing to obtain an optimal processing strategy, integrating the high-value data according to the analysis stored in the data storage platform by using a monitoring camera and a sensor chip in the monitoring control system, and carrying out appropriate dispatching in corresponding fields on the mining equipment, the transportation equipment and the storage equipment respectively by optimal resource allocation.
Drawings
FIG. 1 is a schematic diagram of a conventional model structure of the present invention;
FIG. 2 is a schematic diagram of a structure of a junction cloud collaboration mode according to 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: many scenes are suitable for type wisdom energy management system based on edge calculation, required basic frame include high in the clouds, edge gateway equipment and monitoring control system, the high in the clouds is whole to be constituteed by data receiving platform, data analysis platform and data storage platform, edge gateway equipment comprises intelligent thing networking gateway, connecting terminal perception layer and network connection subassembly, monitoring control system comprises surveillance camera head, sensor chip, exploitation equipment, haulage equipment and storage device, connecting terminal perception layer comprises environment perception subassembly and energy perception subassembly, and basic frame realizes the energy management under the different application scenes through following step:
the method comprises the following steps: data acquisition and analysis under different scenes are carried out, under different use environments, the intelligent Internet of things gateway in the edge gateway equipment is mutually connected with equipment such as a water meter, an electric meter, a gas meter and a heat meter which are connected with a terminal sensing layer, smooth data transmission among the equipment can be ensured, when normal use work is carried out under different use environments, stable and smooth real-time acquisition is carried out on original data of all the equipment at the edge side, and the acquired data is directly processed and analyzed in real time by adopting external analysis equipment, so that basic real-time data under different use environments are obtained;
step two: analyzing and identifying, determining countermeasures, performing centralized integration on high-value data in the acquired real-time data information, interacting the processed and collected high-value data with a data receiving platform in a cloud end through a network connecting assembly, performing overall network safety and risk analysis on the interacted high-value data by the data analyzing platform in the cloud end in combination with the Internet, performing large data combination analysis and estimation and artificial intelligent mode identification, performing operations such as energy conservation and strategy improvement according to specific conditions of the analyzed data, and performing integrated classified storage on the high-value data determining the countermeasures through a data storage platform in the cloud end;
step three: the method comprises the steps of optimizing data and establishing a model, performing local optimization control by combining analyzed integrated data through intelligent management signals returned from a cloud of a data analysis platform, realizing automatic fault processing, load identification, modeling and other operations, reasonably planning and integrating energy sources in different use scenes and use environments, and analyzing to obtain an optimal processing strategy;
step four: the resources are distributed by combining the data, the monitoring camera and the sensor chip in the monitoring control system are utilized to analyze and integrate the high-value data stored in the data storage platform, the mining equipment, the transportation equipment and the storage equipment are respectively and properly scheduled in corresponding fields by optimal resource distribution, the adaptive mode of the associated cloud network management is optimized, and the energy management of the fixed management mode in different application scenes is realized;
furthermore, the data receiving platform, the data analysis platform and the data storage platform in the cloud are all based on the internet and sequentially perform data processing work, the data receiving platform and the intelligent internet of things gateway perform data integration analysis on the premise of taking the internet as a premise under the same network connection state through the network connection assembly, and the safety and the comprehensiveness of the obtained data can be ensured;
furthermore, the environment sensing assembly in the connection terminal sensing layer comprises external resource counting equipment such as a thermometer and a hygrometer, and the energy sensing assembly in the connection terminal sensing layer comprises equipment such as a water meter, an electric meter, a gas meter and a heat meter, so that the original data of the energy can be comprehensively mastered conveniently, and the optimal regulation and distribution of the energy can be conveniently carried out;
further, the data receiving platform sends a management signal to the edge gateway device, so that the edge gateway device sends a control signal to the monitoring control system, and the monitoring control system sends mutual original data to the edge gateway device through external collection, so as to ensure the accuracy of the obtained data;
furthermore, the edge gateway device processes and analyzes the original data in real time through an intelligent internet of things gateway and a connection terminal sensing layer by means of external analysis equipment, sends the result data obtained by analysis to a data receiving platform in the cloud end through a network connection state, and performs integrated analysis on the result data by using a data analysis platform, so that the edge gateway device can be combined with intelligent application, and the whole body has higher use reliability;
furthermore, a monitoring camera and a sensor chip in the monitoring control system are connected with the edge gateway device on the basis of the same network, and mining equipment, transportation equipment and storage equipment in the monitoring control system are controlled by an external control end through the edge gateway device, so that the real-time recording work of original data in different use scenes can be realized;
furthermore, the data analysis platform can be combined with the data of the whole network to carry out risk comparison in a network environment, and the data storage platform can stably store the safety data analyzed and integrated by the data analysis platform, so that the cloud end can carry out optimization processing on the analyzed high-value data and reasonably regulate and distribute the data by combining with an energy source;
furthermore, the sensing acquisition devices of the sensing layers of the connection terminal under different use environments and different application scenes are different, and in the steps, the signal transmission and the data transmission of the edge cloud coordination mode adopt a reverse synchronous transmission mode, so that the data acquisition and analysis from low to high can be correspondingly carried out through the signal transmission from high to low.
Further, data acquisition and analysis under different scenes in the step one aim to be connected with each device of the connection terminal sensing layer through the intelligent internet of things gateway in the edge gateway device under different use environments, and can ensure smooth data transmission among the devices, so as to obtain basic real-time data under different use environments, and analysis and identification in the step two determine countermeasures, so as to intensively integrate high-value data in the acquired real-time data information, integrate and store the high-value data determining the countermeasures in a classified manner through a data storage platform in a cloud end, and simultaneously, the continuous implementation characteristics of mutual correlation exist between the step one and the step two;
furthermore, data optimization and model establishment in the third step are carried out, the specific scheme is that local optimization control is carried out by combining analyzed and integrated data through intelligent management signals returned from a data analysis platform cloud, the final purpose is to carry out reasonable planning and integration on energy sources in different use scenes and use environments and analyze the energy sources to obtain an optimal processing strategy, the data are combined in the fourth step to distribute resources, the final purpose is to realize energy source management of a fixed management mode in different application scenes, the fourth step is a final step of combining all the steps to carry out combined implementation, the implementation sequence from the first step to the fourth step cannot be randomly exchanged, and the feasibility of the whole scheme is easily damaged due to exchange of the sequence of the steps.
The working principle is as follows: firstly, data acquisition and analysis under different scenes are carried out, under different use environments, the intelligent Internet of things gateway in edge gateway equipment is mutually connected with equipment such as a water meter, an electric meter, a gas meter, a heat meter and the like connected with a terminal sensing layer, smooth data transmission among the equipment can be ensured, when normal use work is carried out under different use environments, the raw data of all the equipment is stably and smoothly acquired in real time at the edge side, the acquired data is directly processed and analyzed in real time by adopting external analysis equipment to obtain basic real-time data under different use environments, high-value data in the acquired real-time data information is intensively integrated, the processed and collected high-value data is interacted with a data receiving platform in a cloud end through a network connecting component, and a data analysis platform in the cloud end is combined with the Internet to carry out whole-network safety and risk analysis on the interacted high-value data, performing large data combined analysis and estimation and artificial intelligence mode identification, respectively performing operations such as energy saving and strategy improvement according to the specific situation of the analyzed data, integrating and classifying the high-value data for determining the countermeasures through a data storage platform in the cloud, performing local optimization control through an intelligent management signal returned from the cloud of the data analysis platform and combined with the analyzed and integrated data, realizing the operations such as fault automatic processing, load identification and modeling, reasonably planning and integrating energy sources under different use scenes and use environments, analyzing to obtain an optimal processing strategy, and performing appropriate scheduling of corresponding fields on mining equipment, transportation equipment and storage equipment according to the analyzed and integrated high-value data stored in the data storage platform by utilizing a monitoring camera and a sensor chip in a monitoring control system through optimal resource allocation, the adaptive mode of the associated cloud network management is optimized, energy management of the fixed management mode in different application scenes is achieved, and edge calculation can be effectively and stably applied to energy management work in different scenes.
Finally, it should be noted that the above-mentioned contents are only used for illustrating the technical solutions of the present invention, and do not limit the protection scope of the present invention, and those skilled in the art can make simple modifications or equivalent substitutions on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. Many scenes are suitable for type wisdom energy management system based on edge calculation, required basic frame include high in the clouds, edge gateway equipment and monitoring control system, its characterized in that: the whole data receiving platform, data analysis platform and the data storage platform of high in the clouds constitute, edge gateway equipment comprises intelligent thing networking gateway, connecting terminal perception layer and network connection subassembly, monitor control system comprises surveillance camera head, sensor chip, mining equipment, haulage equipment and storage device, connecting terminal perception layer comprises environment perception subassembly and energy perception subassembly, and the energy management under the different application scenes is realized through following steps to the foundation frame:
the method comprises the following steps: data acquisition and analysis under different scenes are carried out, under different use environments, the intelligent Internet of things gateway in the edge gateway equipment is mutually connected with equipment such as a water meter, an electric meter, a gas meter and a heat meter which are connected with a terminal sensing layer, smooth data transmission among the equipment can be ensured, when normal use work is carried out under different use environments, stable and smooth real-time acquisition is carried out on original data of all the equipment at the edge side, and the acquired data is directly processed and analyzed in real time by adopting external analysis equipment, so that basic real-time data under different use environments are obtained;
step two: analyzing and identifying, determining a strategy, performing centralized integration on high-value data in the collected real-time data information, interacting the processed and collected high-value data with a data receiving platform in a cloud end through a network connecting assembly, performing overall network security and risk analysis on the interacted high-value data by the data analyzing platform in the cloud end in combination with the internet, performing large data combination analysis and estimation and artificial intelligent mode identification, performing operations such as energy conservation and strategy improvement respectively according to specific conditions of the analyzed data, and performing integrated classified storage on the high-value data determining the strategy through a data storage platform in the cloud end;
step three: optimizing data and establishing a model, performing local optimization control by combining analyzed and integrated data through intelligent management signals returned from a data analysis platform cloud, reasonably planning and integrating energy sources in different use scenes and use environments, and analyzing to obtain an optimal processing strategy;
step four: and combining the data, allocating resources, utilizing a monitoring camera and a sensor chip in the monitoring control system to analyze and integrate the high-value data according to the data stored in the data storage platform, performing appropriate scheduling in corresponding fields on the mining equipment, the transportation equipment and the storage equipment by optimal resource allocation, and optimizing the adaptation mode of the associated cloud network management.
2. The edge-computing-based multi-scenario-adaptive smart energy management system of claim 1, wherein: the data receiving platform, the data analysis platform and the data storage platform in the cloud are all based on the internet and sequentially perform data processing work, and the data receiving platform and the intelligent internet of things gateway are connected on the basis of the same network through the network connecting component.
3. The edge-computing-based multi-scenario-adaptive smart energy management system of claim 1, wherein: the environment perception assembly in the connection terminal perception layer comprises external resource statistics equipment such as a thermometer and a hygrometer, and the energy perception assembly in the connection terminal perception layer comprises equipment such as a water meter, an electric meter, a gas meter and a heat meter.
4. The edge-computing-based multi-scenario-adaptive smart energy management system of claim 1, wherein: the data receiving platform sends a management signal to the edge gateway equipment, so that the edge gateway equipment sends a control signal to the monitoring control system, and the monitoring control system collects mutual original data through the outside and sends the mutual original data to the edge gateway equipment.
5. The edge-computing-based multi-scenario-adaptive smart energy management system of claim 1, wherein: the edge gateway device processes and analyzes original data in real time through an intelligent Internet of things gateway and a connection terminal sensing layer by means of external analysis equipment, sends result data obtained through analysis to a data receiving platform in a cloud end through a network connection state, and integrates and analyzes the result data by means of a data analysis platform.
6. The edge-computing-based multi-scenario-adaptive smart energy management system of claim 1, wherein: a monitoring camera and a sensor chip in the monitoring control system are all connected with the edge gateway device on the basis of the same network, and mining equipment, transportation equipment and storage equipment in the monitoring control system are all controlled by an external control end through the edge gateway device.
7. The edge-computing-based multi-scenario-adaptive smart energy management system of claim 1, wherein: the data analysis platform can be combined with the whole network data to carry out risk comparison under a network environment, and the data storage platform can stably store the safety data analyzed and integrated by the data analysis platform.
8. The edge-computing-based multi-scenario-adaptive smart energy management system of claim 1, wherein: the sensing acquisition devices of the sensing layers of the connecting terminal under different use environments and different application scenes are different, and in the steps, a reverse synchronous transmission mode is adopted for signal transmission and data transmission of the side cloud coordination mode.
9. The edge-computing-based multi-scenario-adaptive smart energy management system of claim 1, wherein: the data acquisition and analysis under different scenes in the step one are realized by connecting the intelligent internet of things gateway in the edge gateway device with each device of the sensing layer of the connection terminal to ensure smooth data transmission among the devices and obtain basic real-time data under different use environments, the analysis and identification in the step two are used for determining countermeasures, specifically, high-value data in the acquired real-time data information are integrated in a centralized manner, the high-value data for determining the countermeasures are integrated and classified and stored through a data storage platform in a cloud, and the continuous implementation characteristic of mutual correlation exists between the step one and the step two.
10. The edge-computing-based multi-scenario-adaptive smart energy management system of claim 1, wherein: and optimizing data and establishing a model in the third step, wherein the specific scheme is that local optimization control is carried out by combining analyzed and integrated data through intelligent management signals returned from a data analysis platform cloud, and an optimal processing strategy is obtained through analysis.
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