CN115356977A - Artificial intelligence energy-saving monitoring system and method - Google Patents
Artificial intelligence energy-saving monitoring system and method Download PDFInfo
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Abstract
The invention discloses an artificial intelligence energy-saving monitoring system and method, and particularly relates to the technical field of monitoring, wherein the system comprises an energy coordination module, an energy consumption data real-time detection module, an energy consumption data analysis module, an energy management module and a view visualization module, the energy coordination module can visually check the condition in a building by creating a building management APP, the coordinated operation of equipment is realized by centralized control of all energy consumption equipment in the building, and the energy consumption data real-time detection module is used for detecting the operation data of the equipment. According to the invention, the energy utilization condition of each facility of the building can be monitored and detected in real time through the view visualization module, each corner of the high-rise building can be checked in 360 degrees, comprehensive and specific grasping of high-rise energy consumption information is really realized, and managers can effectively adjust according to information data.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to an artificial intelligence energy-saving monitoring system and method.
Background
Along with the continuous acceleration of the pace of urbanization construction, intelligent buildings become the inevitable direction of building development, the energy consumption of urbanization buildings in China accounts for 30% of the social energy consumption, along with the continuous increase of the urban building area, the proportion of the energy consumption of urban buildings is larger and larger, the shortage of energy becomes a huge resource challenge, the problem that the energy consumption of large buildings is increased increasingly is more and more prominent, the problem of the energy consumption of large buildings is not effectively controlled, and one important reason is that the management informatization level of the energy consumption of buildings is not enough at present.
The existing system is convenient to design and manage electrical energy saving of a building, no overall analysis is carried out, various engineers do not comprehensively know and analyze and judge the existing system in the building, so that when energy saving work is carried out, an intelligent one-sided scheme measure for saving energy of a single energy-saving product is carried out, the building lacks corresponding automatic equipment, after the energy-saving product is installed in a selected mode, real-time dynamic recording, tracking and statistical analysis management can not be carried out on energy-saving data of the product, the related systems can not effectively run in a coordinated mode after the energy-saving product is installed for a period of time, and an expected energy-saving effect can not be achieved.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide an artificial intelligence energy-saving monitoring system and method, which solve the problems in the background art mentioned above through an interaction module.
In order to achieve the purpose, the invention provides the following technical scheme: including energy coordination module, energy consumption data real-time detection module, energy consumption data analysis module, energy management module and visual module of view, energy coordination module is through establishing a building management APP, can look over the condition in the building directly perceivedly, through the concentrated management and control to all energy consumption equipment in the building, realizes the coordinated operation of equipment, through energy consumption data real-time detection module check out equipment's operating data, energy consumption data real-time detection module exports the energy consumption data of building through the real-time detection platform, with data transmission to energy consumption data analysis module, energy consumption data analysis module is through making statistics of, the analysis to the energy consumption data of building, confirms the energy consumption situation and the equipment energy consumption efficiency of building, provides energy-conserving building energy optimization measure, energy management module adds the authority control mechanism of role, makes different types of user have different authorities, and managers can look over the real-time data of data real-time detection module through the management center, visual module of view can establish three-dimensional space automatically, analyzes the use condition of the inside of high-rise and detection object, and make the managers can clearly see the electric quantity consumption condition of whole energy consumption and the energy consumption data analysis module of whole floor and provide the chart for real-time detection module analysis.
In a preferred embodiment, the energy coordination module creates a building management APP, through the use of the APP, the personnel condition of the building can be visually checked, through the use of the APP, the manager can know which time periods of the building in one day need to provide illumination, heating and heating functions, space optimization is utilized to ensure that the energy is effectively utilized in the building, when no user exists in the building thermal sensor display space, relevant equipment is automatically turned off, when the room is in an idle state, all electrical appliances are turned off, under the condition that the human body feels comfortable in temperature, an air conditioning unit is connected with the Internet, the running state of the air conditioner is monitored in real time, the indoor actual temperature is fed back to the APP through an intelligent environment detector, an infrared human body induction sensor is added, the air conditioner is turned on and off through induction of the human body, energy waste is reduced, all intelligent equipment is uniformly and centrally managed in an energy consumption detection module, and different trigger conditions are set according to different conditions of various buildings.
In a preferred embodiment, the energy consumption data real-time detection module establishes a platform for unified energy consumption data real-time detection, performs real-time detection on network communication of the whole building, performs real-time detection on power utilization of the building and data of special power consumption, water consumption, gas consumption, central heating and heat consumption, central cooling capacity and hot water supply capacity, performs real-time detection on change trend of energy consumption state parameters, energy consumption equipment and operation alarm events in the energy operation process, ensures safe and stable operation in the energy supply and consumption process, provides a graphical tool, counts time consumption and daily consumption of energy consumption of the building and a parcel, and automatically generates images and reports for output.
In a preferred embodiment, the energy consumption data analysis module determines the energy consumption status and the equipment energy consumption efficiency of a building by counting and analyzing the energy consumption data of the building, provides energy-saving building energy optimization measures, shows the percentage of various types of energy consumption in a certain time period in a pie chart manner, shows the consumption trend of specified energy in a certain time period in a line chart manner, learns the energy consumption rules of different regions by comparing the energy consumption data conditions of different regions, grasps the energy consumption trend conditions of different items, ranks the energy consumption of the regions, finds a leak in the energy use process, adjusts the energy distribution strategy, and reduces the waste of energy in the use process.
In a preferred embodiment, the energy management module is added with a role authority control mechanism, so that users of different categories have different authorities, a manager can check real-time data of the data real-time detection module through the management center, can set energy consumption operation data according to data analysis, and simultaneously see the current operation state of the equipment, when the operation state of the equipment breaks down, the management center can send an alarm to provide basic data for energy consumption abnormity detection, realize flexible detection in multiple modes, realize detection of energy consumption abnormity detection data in working time and energy consumption abnormity detection data in non-working time, and enable the manager to make corresponding adjustment on different energy consumption usage.
In a preferred embodiment, the view visualization module automatically creates a three-dimensional space, analyzes energy consumption usage of the interior of the building and the test objects, the manager can clearly see the electricity consumption condition of the whole floor, can carry out targeted detection according to a certain object, deeply analyzes the specific condition of the energy consumption, according to the situations, a detailed energy consumption table and energy consumption situation data are made, so that a manager can correspondingly adjust different energy consumption usage, the three-dimensional stereogram of the high-rise can be amplified, reduced, moved, rotated and the like through the view visualization module, so that managers and users can comprehensively know the situation of the high-rise, user data, device searching and accurate positioning the high level and energy-using object searched by the searching function can be quickly found, the high level is shown by a three-dimensional view, the object to be monitored is accurately positioned, the energy consumption conditions of the equipment and the user are inquired, the manager and the user can clearly see the static information and the dynamic data of the equipment, after the determination of the monitoring object, the manager and the user can display various graphs and data on the view, in the aspect of displaying related views, managers and users can hide and fold unrelated objects, observe the objects to be placed at the forefront, and when a warning condition occurs, the manager and the user can accurately determine the position of the alarm, display the alarm in a view mode, display the positioned place in a flashing light mode, according to the characteristics of different data, a proper mode is selected to display related data, and forms such as tables, tree graphs, formulas and equations are displayed, so that a manager can more clearly and intuitively know the use conditions of each user and equipment.
The invention has the technical effects and advantages that:
according to the invention, the energy consumption detection module is adopted, energy consumption equipment such as an air conditioner and the like are monitored in a centralized manner, intelligent operation of the energy consumption equipment is compared through the energy efficiency indexes of the same equipment, low-energy-efficiency equipment is found in time, the equipment is optimized, and the performance of the equipment is improved; through monitoring equipment operating parameters, fault equipment is discovered in time, the influence on the equipment is reduced, the service life of the equipment is prolonged, energy-saving operation of all equipment is realized, centralized management and control are performed on all the equipment, all the equipment is coordinated to work, the energy utilization condition of each facility of the building can be monitored and detected in real time through a view visualization module, each corner of a high layer can be checked in 360 degrees, comprehensive and specific mastering of high-layer energy consumption information is really realized, and managers can perform effective adjustment according to information data.
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FIG. 1 is a flow chart of the system of the present invention.
Fig. 2 is a block diagram of the system architecture 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. 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.
Example 1
The embodiment provides an artificial intelligence energy-saving monitoring system and method as shown in fig. 2, which comprises an energy coordination module, an energy consumption data real-time detection module, an energy consumption data analysis module, an energy management module and a view visualization module, wherein the energy coordination module can visually check conditions in a building by creating a building management APP, and realize coordinated operation of equipment through centralized control of all energy consumption equipment in the building, the energy consumption data real-time detection module detects operation data of the equipment, the energy consumption data real-time detection module outputs energy consumption data of the building through a real-time detection platform and transmits the data to the energy consumption data analysis module, the energy consumption data analysis module performs statistics and analysis on the energy consumption data of the building to determine energy consumption conditions and equipment energy consumption efficiency of the building, so that energy-saving building energy optimization measures are provided, the energy management module adds a role authority control mechanism, different types of users have different authorities, managers can check the real-time data of the data real-time detection module through a management center, and the view visualization module can automatically establish a three-dimensional space, analyze the use conditions of high-building interior and detection objects, and enable managers to clearly see the energy consumption data of the whole energy consumption data analysis module and the whole energy consumption data.
As shown in fig. 2, the embodiment provides an artificial intelligence energy-saving monitoring system and method, which specifically includes the following steps:
101. the personnel condition of the building can be visually checked through the use condition of the APP, and the energy in the building is effectively utilized through the use data of the APP;
in this embodiment, what specifically need to explain is the energy coordination module, the energy coordination module establishes a building management APP, service conditions through APP, can look over the personnel's condition of building directly perceivedly, service data through APP, can make the administrator learn which time quantum in this building one day need provide the illumination, heating and heating function, utilize space optimization to ensure that the energy is effectively utilized in the building, when there is not the user in building thermoinduction sensor display space, the relevant equipment of self-closing, when the room is in idle state, close all electrical apparatus, under the comfortable condition of assurance human body temperature, be connected air conditioning unit and internet, carry out real time monitoring to the running state of air conditioner, give back to indoor actual temperature through intelligent environment detector APP, add infrared human body induction sensor, realize the switch of air conditioner through the response human body, reduce the energy waste, all intelligent device unified dock in the energy consumption detection module and carry out centralized management, according to the different situations of each building, set up different trigger conditions.
102. Establishing a platform for detecting the unified energy consumption data in real time to detect the network communication of the whole building in real time;
in this embodiment, the energy consumption data real-time detection module to be described specifically establishes a platform for performing real-time detection on unified energy consumption data to perform real-time detection on network communication of the whole building, performs real-time detection on power electricity consumption of the building and data of special electricity consumption, water consumption, gas consumption, central heat supply and consumption, central refrigeration capacity and hot water supply capacity, performs real-time detection on a change trend of energy consumption state parameters, energy consumption equipment and an operation alarm event in an energy supply and consumption process, ensures safe and stable operation in the energy supply and consumption process, provides a graphical tool, counts time consumption and daily consumption of energy consumption of the building and a parcel, and automatically generates images and reports to output.
103. Carrying out statistics and analysis on the energy consumption data of the building, and determining the energy consumption condition of the building and the energy consumption efficiency of equipment;
in this embodiment, it is specifically required to explain that the energy consumption data analysis module is an energy consumption data analysis module, the energy consumption data analysis module determines the energy consumption condition and the equipment energy consumption efficiency of the building by performing statistics and analysis on the energy consumption data of the building, provides energy-saving building energy optimization measures, shows the percentage situation of various types of energy consumption in a certain time period in a pie chart manner, shows the consumption trend of specified energy in a certain time period in a broken line chart manner, learns the energy consumption rules in different regions by comparing the energy consumption data situations in different regions, grasps the energy consumption trend situation of each item, ranks the energy consumption in the regions, finds a leak in the energy use process, adjusts an energy distribution strategy, and reduces the waste of energy in the use process.
104. A role authority control mechanism is added, and managers can check the real-time data of the data real-time detection module through a management center;
in this embodiment, it is specifically required to explain that the energy management module is added with the authority control mechanism of the role, so that users of different categories have different authorities, a manager can check real-time data of the data real-time detection module through the management center, can set operation data of energy consumption according to analysis on the data, and simultaneously see the operation state of the current device, when the operation state of the device breaks down, the management center can send an alarm to provide basic data for abnormal energy consumption detection, so that flexible detection in multiple modes is realized, detection of abnormal energy consumption detection data during working time and abnormal energy consumption detection data during non-working time is realized, and the manager can make corresponding adjustment on different energy consumption.
105. The method comprises the steps of automatically establishing a three-dimensional space, analyzing the energy consumption use conditions of the interior of a high-rise building and a detection object, enabling a manager to clearly see the electricity consumption condition of the whole floor, and detecting according to the specific object;
in this embodiment, it is specifically noted that the view visualization module automatically establishes a three-dimensional space, analyzes energy consumption usage conditions of the interior of the high-rise building and the detection object, the manager can clearly see the electricity consumption situation of the whole floor, can carry out targeted detection according to a certain object, deeply analyzes the specific situation of the energy consumption, according to the situations, a detailed energy consumption table and energy consumption situation data are made, so that a manager can correspondingly adjust different energy consumption usage, the three-dimensional stereogram of the high-rise can be amplified, reduced, moved, rotated and the like through the view visualization module, so that managers and users can comprehensively know the situation of the high-rise, user data, device searching and accurate positioning the high level and energy-using object searched by the searching function can be quickly found, the high level is shown by a three-dimensional view, accurately positioning the object to be monitored, inquiring the energy consumption conditions of equipment and users, leading managers and users to clearly see the static information and dynamic data of the equipment, after the determination of the monitoring object, the manager and the user can display various graphs and data on the view, in the aspect of displaying related views, managers and users can hide and fold unrelated objects, observe the objects to be placed at the forefront, and when a warning situation occurs, the manager and the user can accurately determine the position of the alarm, display the alarm in a view mode, display the positioned place in a flashing light mode, according to the characteristics of different data, a proper mode is selected to display related data, and forms such as tables, dendrograms, formulas and equations are displayed, so that a manager can more clearly and intuitively know the energy utilization conditions of various users and equipment.
And finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. The utility model provides an energy-conserving monitoring system of artificial intelligence which characterized in that: including energy coordination module, energy consumption data real-time detection module, energy consumption data analysis module, energy management module and visual module of view, energy coordination module can look up the condition in the building directly perceivedly through establishing a building management APP, through the concentrated management and control to all energy consumption equipment in the building, realizes the coordinated operation of equipment, through energy consumption data real-time detection module check out test set's operating data, energy consumption data real-time detection module exports the energy consumption data of building through the real-time detection platform, with data transmission to energy consumption data analysis module, energy consumption data analysis module is through making statistics of, the analysis to the energy consumption data of building, confirms the energy consumption situation and the equipment energy consumption efficiency of building, provides energy-conserving building energy optimization measure, energy management module adds the authority control mechanism of role, makes different types of user have different authorities, and managers can look over the real-time data of data real-time detection module through management center, visual module of view can establish three-dimensional space automatically, analyzes the in-service behavior of the inside of high building and detection object, and the energy consumption situation of the energy consumption that makes the administrator can clearly see the electric quantity of whole consumption of floor and the energy consumption data analysis module provides the energy consumption data analysis chart for real-time detection module.
2. The artificial intelligence energy-saving monitoring system according to claim 1, characterized in that: the utility model discloses a building management APP is established to energy coordination module, service conditions through APP, can look over the personnel's condition of building directly perceivedly, service data through APP, can make the administrator learn which time quantum in the middle of this building one day need provide the illumination, heating and heating function, utilize space optimization to ensure that the energy is effectively utilized in the building, when not having the user in building thermoinduction sensor display space, automatic shutdown relevant equipment, when the room is in idle state, close all electrical apparatus, under the comfortable condition of human body feeling temperature, be connected air conditioning unit and internet, carry out real time monitoring to the running state of air conditioner, pass through intelligent environment detector to feed back indoor actual temperature to APP, add infrared human body induction sensor, realize the switch of air conditioner through the response human body, reduce the energy waste, carry out centralized management with all intelligent device unification pairs to energy consumption detection module, according to the different situations in the middle of each building, set up different trigger conditions.
3. The artificial intelligence energy-saving monitoring system according to claim 1, characterized in that: the energy consumption data real-time detection module establishes a platform for unified energy consumption data real-time detection to perform real-time detection on network communication of the whole building, performs real-time detection on power utilization and special electricity consumption, water consumption, gas consumption, central heating and heat consumption, central refrigerating capacity and hot water supply quantity of the building and uploads data, performs real-time detection on the change trend of energy consumption state parameters, energy consumption equipment and operation alarm events in the energy operation process, ensures safe and stable operation in the energy supply and consumption process, provides a graphical tool, counts the time consumption and the daily consumption of energy consumption of the building and a parcel, and automatically generates images and reports to output.
4. The artificial intelligence energy-saving monitoring system according to claim 1, characterized in that: the energy consumption data analysis module determines the energy consumption condition and the equipment energy consumption efficiency of the building by counting and analyzing the energy consumption data of the building, provides energy-saving energy optimization measures of the building, adopts a pie chart form to show the percentage condition of all kinds of energy consumption in a certain time period, adopts a line chart to show the consumption trend of specified energy in the certain time period, learns the energy consumption rules of different regions by comparing the energy consumption data conditions of different regions, grasps the energy consumption trend condition of different items, ranks the energy consumption of the regions, finds out leaks in the energy use process, adjusts the energy distribution strategy, and reduces the waste of energy in the use process.
5. The artificial intelligence energy-saving monitoring system according to claim 1, wherein: the energy management module is added with the authority control mechanism of roles, so that different types of users have different authorities, managers can check real-time data of the data real-time detection module through the management center, the running data of energy consumption can be set according to the analysis of the data, the running state of the current equipment can be seen at the same time, when the running state of the equipment breaks down, the management center can send an alarm, basic data is provided for abnormal energy consumption detection, the flexible detection of multiple modes is realized, the abnormal energy consumption detection data of working time and the abnormal energy consumption detection data of non-working time are detected, and the managers can make corresponding adjustment on different energy consumption.
6. The artificial intelligence energy-saving monitoring system according to claim 1, characterized in that: the view visualization module automatically establishes a three-dimensional space, analyzes energy consumption use conditions of the interior of the high-rise building and the detection object, the manager can clearly see the electricity consumption situation of the whole floor, can carry out targeted detection according to a certain object, deeply analyzes the specific situation of the energy consumption, according to the situations, a detailed energy consumption table and energy consumption situation data are made, so that a manager can correspondingly adjust different energy consumption, the three-dimensional stereogram of the high-rise can be amplified, reduced, moved, rotated and the like through the view visualization module, so that managers and users can comprehensively know the situation of the high-rise, user data, device searching and accurate positioning the high level and energy-using object searched by the searching function can be quickly found, the high level is shown by a three-dimensional view, the object to be monitored is accurately positioned, the energy consumption conditions of the equipment and the user are inquired, the manager and the user can clearly see the static information and the dynamic data of the equipment, after the determination of the monitoring object, the manager and the user can display various graphs and data on the view, in the aspect of displaying related views, managers and users can hide and fold unrelated objects, observe the objects to be placed at the forefront, and when a warning condition occurs, the manager and the user can accurately determine the position of the alarm, display the alarm in a view mode, display the positioned place in a flashing light mode, according to the characteristics of different data, a proper mode is selected to display related data, and forms such as tables, tree graphs, formulas and equations are displayed, so that a manager can more clearly and intuitively know the use conditions of each user and equipment.
7. The detection method of the artificial intelligence energy-saving monitoring system according to the claims 1-6, characterized in that the detection method comprises the following steps:
s1, the personnel condition of a building can be visually checked through the use condition of an APP, and the energy is effectively utilized in the building through the use data of the APP;
s2, establishing a platform for detecting the unified energy consumption data in real time to detect the network communication of the whole building in real time;
s3, carrying out statistics and analysis on the energy consumption data of the building, and determining the energy consumption condition of the building and the energy consumption efficiency of equipment;
s4, adding a role authority control mechanism, and enabling managers to check real-time data of the data real-time detection module through a management center;
and S5, automatically establishing a three-dimensional space, analyzing the energy consumption use conditions of the interior of the high-rise building and the detection object, enabling a manager to clearly see the electricity consumption condition of the whole floor, and performing targeted detection according to a certain object.
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| CN111308901A (en) * | 2020-03-10 | 2020-06-19 | 张伟 | Building energy-saving system based on computer |
| CN112650335A (en) * | 2020-12-18 | 2021-04-13 | 山东盛帆蓝海电气有限公司 | Intelligent energy consumption management and control system and method based on big data mining |
| CN112930009A (en) * | 2021-01-29 | 2021-06-08 | 重庆工程职业技术学院 | Intelligent lighting control system for sports field |
| CN113709008A (en) * | 2021-08-26 | 2021-11-26 | 深圳市昌龙装饰设计工程有限公司 | Safety management method and device for smart home |
| CN114139950A (en) * | 2021-12-01 | 2022-03-04 | 柯利达信息技术有限公司 | Intelligent building integrated management platform based on BIM |
| CN115146930A (en) * | 2022-06-15 | 2022-10-04 | 同方股份有限公司 | Building energy data acquisition and analysis system |
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| CN117250874A (en) * | 2023-09-26 | 2023-12-19 | 湖南朗赫科技有限公司 | Energy monitoring management system of intelligent home |
| CN117250874B (en) * | 2023-09-26 | 2024-04-23 | 湖南朗赫科技有限公司 | Energy monitoring management system of intelligent home |
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