Building energy consumption management platform
By deploying energy metering equipment and temperature sensors in buildings and combining server analysis modules with office systems, the problems of fine classification and correlation of personnel activities in existing energy consumption monitoring systems are solved, accurate energy consumption identification and the formulation of intelligent energy-saving strategies are achieved, and the efficiency of building energy consumption management and energy-saving effects are improved.
Patent Information
- Application Number
- CN202510828655.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-20
- Publication Date
- 2025-10-03
AI Technical Summary
The existing building energy consumption monitoring system lacks detailed classification statistics of energy consumption at the floor level and equipment level, cannot effectively link with building usage scenario data, and cannot identify the connection between human activities and equipment operation, resulting in constraints on intelligent energy-saving strategies.
By deploying energy metering equipment and temperature sensors in buildings, and combining the server's energy consumption analysis module with the enterprise office system, we can identify energy consumption characteristics in different personnel activity scenarios, generate energy consumption analysis results and trend charts, identify energy consumption differences during overtime, work, and off-duty time periods, and evaluate individual energy-saving effects.
It enables refined monitoring and analysis of building energy consumption, identifies abnormal energy consumption, provides data support for intelligent energy-saving strategies, improves energy-saving effects and promotes active employee participation.
Smart Images
Figure CN120746013A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy consumption detection, and in particular to a building energy consumption management platform. Background Art
[0002] With the acceleration of urbanization and the popularization of green building concepts, building energy management has become an important issue in modern building operation and maintenance. Among them, commercial buildings have a large space for energy-saving optimization due to the wide variety of equipment and long operating time.
[0003] While current mainstream building energy consumption monitoring systems implement basic data collection functions, they still suffer from significant deficiencies in data application. Most systems only provide a visual display of aggregate energy consumption data, lacking detailed breakdowns of energy consumption at the floor and equipment levels, and fail to effectively integrate data from building usage scenarios. For example, they fail to establish a link between equipment operation and actual personnel activities, and thus fail to provide data support for analyzing "waste consumption due to personnel presence" and "essential equipment operation," hindering the effective development of intelligent energy-saving strategies.
[0004] To this end, a building energy consumption management platform is needed that can accurately identify the energy consumption characteristics under different personnel activity scenarios. Summary of the Invention
[0005] The present invention provides a building energy consumption management platform that can accurately identify energy consumption characteristics in different personnel activity scenarios.
[0006] In order to solve the above technical problems, this application provides the following technical solutions:
[0007] A building energy consumption management platform includes a server and several energy metering devices. The energy metering devices are used to collect energy consumption data on each floor of the building and upload it to the server. The server includes:
[0008] The device interface module is used to receive and store energy consumption data uploaded by the energy metering device;
[0009] The OA interface module is used to connect to the office system of the enterprise to which the current building belongs and obtain the work information of the employees of the enterprise corresponding to the current building from the office system;
[0010] The energy consumption analysis module is used to analyze the energy consumption of each floor in different time periods according to the energy consumption data and work information at every first preset time, and generate energy consumption analysis results.
[0011] Furthermore, the work information includes attendance data, employee's floor and standard working hours; attendance data includes employee's clock-in time and clock-out time;
[0012] The energy consumption analysis module is used to calculate the overtime period based on the clock-in time and standard working hours;
[0013] It is also used to calculate the total energy consumption of the building as a whole and each floor during standard working hours, on-duty hours, off-duty hours, overtime hours, and average energy consumption.
[0014] Furthermore, the energy consumption analysis module is also used to compare the total energy consumption during working hours, the total energy consumption during off-duty hours, and the total energy consumption during overtime hours on each floor, and generate energy consumption rankings for working hours, off-duty hours, and overtime hours respectively.
[0015] Furthermore, the energy consumption analysis module is also used to generate energy consumption trend graphs for the building as a whole and each floor during standard working hours, on-duty hours, off-duty hours, and overtime hours.
[0016] Furthermore, the energy consumption analysis module is also used to generate real-time energy consumption data for the building as a whole and each floor based on energy consumption data, work information and preset area data for each floor. The real-time energy consumption data includes the current number of employees, total area, total energy consumption, average energy consumption per area and energy consumption per person.
[0017] Furthermore, the energy consumption analysis module is also used to generate an energy consumption flow sheet, which includes the energy metering device identification, the floor where it is located, the meter reading before energy consumption, the meter reading after energy consumption, the energy consumption value and the recording time.
[0018] Furthermore, the energy consumption analysis module is also used to identify the changes in energy consumption on the floor after the last employee on the floor leaves work, and to determine whether the energy consumption reduction within one hour exceeds a threshold. If it exceeds the threshold, the employee is marked. It is also used to screen out the most energy-saving employees from the employees marked on the same floor every month, and send the information of the most energy-saving employees to the office system through the OA interface module.
[0019] Furthermore, the energy consumption data includes the smart meter identification, the floor where it is located, the power wiring relationship and the power consumption;
[0020] It also includes a metering equipment management module for drawing energy metering equipment into an electricity meter topology diagram according to the power wiring relationship.
[0021] Furthermore, it also includes a display module for displaying real-time energy consumption data, energy consumption analysis results and meter topology diagrams. The energy consumption analysis results include energy consumption trend diagrams and energy consumption rankings.
[0022] Furthermore, it also includes several temperature sensors for collecting temperature data of each floor; the device interface module is also used to receive the temperature data uploaded by the temperature sensors;
[0023] The energy consumption analysis module is also used to generate energy consumption trend graphs for different floors and different preset temperature ranges.
[0024] This solution combines real-time attendance data, floor distribution, work hours, and other information from enterprise office systems with energy consumption data for a spatiotemporal cross-analysis. By establishing a multi-dimensional analysis framework encompassing standard working hours, flexible overtime periods, and employee presence, it generates corresponding energy consumption trend charts. Compared to traditional energy monitoring systems that display one-way data, this approach, by incorporating employee activity, allows for more precise identification of energy consumption characteristics across different time periods. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 This is a logical block diagram of a first embodiment of a building energy consumption management platform. DETAILED DESCRIPTION
[0026] The following is further described in detail through specific implementation methods:
[0027] Example 1
[0028] like Figure 1 As shown, a building energy consumption management platform of this embodiment includes a server and several energy metering devices.
[0029] Energy metering equipment collects energy consumption data for each floor of a building and uploads it to a server. In this embodiment, the energy metering equipment uses a smart meter. The energy consumption data includes the smart meter's identifier, floor location, power wiring relationships, and power usage. The power wiring relationships refer to information about the smart meter's upstream and downstream meters.
[0030] The server includes a device interface module, an OA interface module, an energy consumption analysis module, a metering device management module and a display module.
[0031] The device interface module is used to receive and store energy consumption data uploaded by the energy metering device;
[0032] The OA interface module is used to connect to the office system of the company to which the current building belongs according to the preset API interface, and obtain the work information of the employees of the company corresponding to the current building from the office system. The work information includes attendance data, the floor where the employees are located, and standard working hours; standard working hours are, for example, 9:00-18:00.
[0033] The energy consumption analysis module is used to analyze the energy consumption of each floor in different time periods according to the energy consumption data and working information at every first preset time, and generate energy consumption analysis results; in this embodiment, the first preset time is a day.
[0034] Specifically, attendance data includes the time employees clock in and clock out.
[0035] The energy consumption analysis module is used to calculate the overtime period based on the clock-in time and the standard working hours. In this embodiment, the overtime period is from 18:00 to the actual clock-in time (eg 19:10).
[0036] It is also used to calculate the total energy consumption and average energy consumption for the building as a whole and for each floor during standard working hours, on-duty hours, off-duty hours, and overtime hours. In this embodiment, average energy consumption is measured in hours. The on-duty hours on each floor refer to the time from the earliest employee clocking in to the latest employee clocking out, and the off-duty hours on each floor refer to the time between two on-duty hours. The same applies to the building's overall on-duty hours and off-duty hours.
[0037] It is also used to compare the total energy consumption during working hours, off-duty hours, and overtime hours of each floor, and generate energy consumption rankings for working hours, off-duty hours, and overtime hours respectively;
[0038] It also generates energy consumption trend charts for the building as a whole and for each floor during standard working hours, on-duty hours, off-duty hours, and overtime. In these energy consumption trend charts, the horizontal axis represents time in hours, and the vertical axis represents electricity consumption. The change in electricity consumption over time is represented by a solid line, while the average energy consumption is represented by a horizontal dashed line.
[0039] The system is also configured to generate a building-wide energy consumption trend chart every second preset time. In this embodiment, the second preset time is a calendar month. In other embodiments, a year-on-year / month-on-month analysis chart of the building-wide energy consumption can also be generated.
[0040] It is also used to generate real-time energy consumption data for the building as a whole and for each floor based on energy consumption data, work information and preset area data for each floor. The real-time energy consumption data includes the current number of employees (through attendance data statistics), total area, total energy consumption, average energy consumption per area and average energy consumption per person. For example, the real-time energy consumption data for a floor includes the current number of employees on that floor, the total area of that floor, the total energy consumption of that floor, the average energy consumption per area of that floor and the average energy consumption per person on that floor.
[0041] The energy consumption analysis module is also used to identify the changes in energy consumption on a floor after the last employee leaves work, and to determine whether the energy consumption reduction within one hour exceeds a threshold. If it exceeds the threshold, the employee is marked. It is also used to screen out the most energy-efficient employees from the employees marked on the same floor every month, and send the information of the most energy-efficient employees to the office system through the OA interface module.
[0042] In this embodiment, the threshold is the monthly average energy consumption for each off-duty time period. The energy consumption analysis module creates a scoring model, setting indicators and corresponding weights, including energy consumption value after one hour, with a weight of 30% (the lower the energy consumption value, the higher the score); absolute energy consumption reduction, with a weight of 50% (the greater the difference in energy consumption after get off work, the higher the score); and frequency of being flagged, with a weight of 20% (the more times a person is flagged per month, the higher the score).
[0043] Energy consumption after 1 hour is scored as follows:
[0044]
[0045] Among them, E max E is the maximum energy consumption value of the marked employees in the building within one hour in that month; min It is the minimum energy consumption value after one hour among all the marked employees in the building that month; E1 is the energy consumption reading one hour after the marked employees leave work.
[0046] The absolute energy reduction scores are:
[0047] S 能耗减少量 =100×(E0-E1)
[0048] Among them, E0 is the energy consumption value at the end of get off work.
[0049] The frequency of being marked is scored as:
[0050]
[0051] Among them, the number of times an employee is marked in the month, N max This is the highest number of marks among all the employees marked on this floor in that month.
[0052] The energy consumption analysis module is also used to generate energy consumption flow sheets, which include the energy metering equipment identification, the floor where it is located, the meter reading before energy consumption, the meter reading after energy consumption, the energy consumption value and the recording time.
[0053] The metering equipment management module is used to draw the energy metering equipment into an electric meter topology diagram according to the power wiring relationship; the electric meter topology diagram can clearly show the subordinate relationship between the main meter and the sub-meters on each floor.
[0054] The display module is used to display real-time energy consumption data, energy consumption analysis results and meter topology diagrams. The energy consumption analysis results include energy consumption trend diagrams, energy consumption rankings, etc.
[0055] This solution correlates and analyzes dynamic office data such as employee commuting times and floor distribution with energy consumption at each level of the building. Compared to traditional energy consumption monitoring systems, it not only monitors energy consumption from the entire building to the floor level, but also automatically identifies energy consumption during non-working hours based on the time period division of attendance data, providing data support for identifying problems such as abnormal energy consumption and equipment idling loss.
[0056] This plan also evaluates individual energy-saving effects by analyzing the reduction in energy consumption within 1 hour after employees leave work, the absolute energy consumption reduction and the repeatability of behavior, and feeds the evaluation results back to the company's office system to promote employees' active participation in energy-saving management and improve energy-saving effects.
[0057] Example 2
[0058] This embodiment differs from the first embodiment in that it also includes several temperature sensors installed on each floor, which collect temperature data. The device interface module also receives temperature data uploaded by the temperature sensors, and the energy consumption analysis module generates energy consumption trend charts for different floors and preset temperature ranges. In this embodiment, a 5-degree Celsius temperature range is used, for example, 21-25 degrees Celsius and 26-30 degrees Celsius. This embodiment analyzes the correlation between temperature ranges and energy consumption trends, highlighting the impact of seasonal fluctuations in energy consumption.
[0059] The above are only embodiments of the present invention. The invention is not limited to the fields involved in this implementation case. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field are aware of all common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the inspiration given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several variations and improvements can be made, which should also be regarded as the scope of protection of the present invention. These will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.
Claims
1. A building energy consumption management platform, comprising a server and several energy metering devices, wherein the energy metering devices are used to collect energy consumption data of each floor of the building and upload it to the server, characterized in that: The server includes: The device interface module is used to receive and store energy consumption data uploaded by the energy metering device; The OA interface module is used to connect to the office system of the enterprise to which the current building belongs and obtain the work information of the employees of the enterprise corresponding to the current building from the office system; The energy consumption analysis module is used to analyze the energy consumption of each floor in different time periods according to the energy consumption data and work information at every first preset time, and generate energy consumption analysis results.
2. The building energy consumption management platform according to claim 1, characterized in that: The work information includes attendance data, employee's floor and standard working hours; attendance data includes employee's clock-in time and clock-out time; The energy consumption analysis module is used to calculate the overtime period based on the clock-in time and standard working hours; It is also used to calculate the total energy consumption of the building as a whole and each floor during standard working hours, on-duty hours, off-duty hours, overtime hours, and average energy consumption.
3. The building energy consumption management platform according to claim 2, characterized in that: The energy consumption analysis module is also used to compare the total energy consumption of each floor during working hours, the total energy consumption during off-duty hours, and the total energy consumption during overtime hours, and generate energy consumption rankings for working hours, off-duty hours, and overtime hours respectively.
4. The building energy consumption management platform according to claim 3 is characterized by: The energy consumption analysis module is also used to generate energy consumption trend graphs for the building as a whole and each floor during standard working hours, on-duty hours, off-duty hours, and overtime hours.
5. The building energy consumption management platform according to claim 4 is characterized in that: The energy consumption analysis module is also used to generate real-time energy consumption data for the building as a whole and each floor based on energy consumption data, work information and preset area data for each floor. The real-time energy consumption data includes the current number of employees, total area, total energy consumption, average energy consumption per area and energy consumption per person.
6. The building energy consumption management platform according to claim 5 is characterized by: The energy consumption analysis module is further used to generate an energy consumption flow sheet, which includes the energy metering device identification, the floor where it is located, the meter reading before energy consumption, the meter reading after energy consumption, the energy consumption value and the recording time.
7. The building energy consumption management platform according to claim 6, characterized in that: The energy consumption analysis module is also used to identify the changes in energy consumption on a floor after the last employee on the floor leaves work, and to determine whether the energy consumption reduction within one hour exceeds a threshold. If it exceeds the threshold, the employee is marked. The module is also used to screen out the most energy-efficient employees from the employees marked on the same floor every month, and send the information of the most energy-efficient employees to the office system through the OA interface module.
8. The building energy consumption management platform according to claim 7, characterized in that: The energy consumption data includes the smart meter identification, floor location, power wiring relationship and power consumption; It also includes a metering equipment management module for drawing energy metering equipment into an electricity meter topology diagram according to the power wiring relationship.
9. The building energy consumption management platform according to claim 8, characterized in that: It also includes a display module for displaying real-time energy consumption data, energy consumption analysis results and meter topology diagrams. The energy consumption analysis results include energy consumption trend diagrams and energy consumption rankings.
10. The building energy consumption management platform according to claim 9, characterized in that: It also includes several temperature sensors for collecting temperature data on each floor; the device interface module is also used to receive temperature data uploaded by the temperature sensors; The energy consumption analysis module is also used to generate energy consumption trend graphs for different floors and different preset temperature ranges.