Building electric quantity monitoring method, equipment and medium

Abstract

The invention relates to the technical field of building electric quantity monitoring, in particular to a building electric quantity monitoring method and device and a medium, and the method comprises the steps: obtaining a first historical electricity utilization information set and a second historical electricity utilization information set corresponding to a target office of a target building, according to the first historical electricity consumption information set and the second historical electricity consumption information set, obtaining estimated electricity consumption information corresponding to the current monitoring time period, further constructing a target reference curve graph, and obtaining target electricity consumption monitored in real time in the current monitoring time period; according to the target electricity consumption monitored in real time and the electricity consumption cumulant in the target reference curve graph, the current electricity consumption data are adjusted and monitored in real time; according to the invention, the power consumption of each office in the target building is monitored in real time and is compared with the reference value, so that the power consumption condition of the offices is reasonably adjusted, and the maximum reasonable utilization of power resources in the building is promoted.

Description

Technical Field

[0001] This invention relates to the field of building power monitoring technology, and in particular to a method, device and medium for monitoring building power. Background Technology

[0002] With the development of mobile internet, many smart buildings have emerged in the process of modernization. In smart building management systems, office power consumption monitoring has become a crucial aspect of building energy conservation. Traditional building power consumption monitoring mainly relies on fixed-threshold power alarm systems, triggering alarms based on absolute threshold values. However, this method cannot adapt to the dynamic power consumption characteristics of different offices, such as the difference between the stable load of R&D departments and the intermittent high load of conference rooms; or it relies on simple time-series prediction models, using data from a single historical period to predict power consumption trends, resulting in low prediction accuracy. Neither of these methods can achieve timely and reasonable adjustments to power consumption, leading to significant waste of electrical resources. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention provides a method, device, and medium for monitoring building electricity consumption. By monitoring the electricity consumption of each office in a target building in real time and comparing it with a reference value, the power consumption of the offices can be reasonably adjusted, which is conducive to promoting the maximum and rational utilization of power resources in the building.

[0004] According to a first aspect of the present invention, a method for monitoring building electricity consumption is provided, comprising the following steps: S100, obtain the first historical electricity consumption information set D1 and the second historical electricity consumption information set D2 corresponding to the target office ID of the target building; wherein, D1 includes the historical electricity consumption information corresponding to the m historical monitoring time periods before the current monitoring time period, and D2 includes the historical electricity consumption information corresponding to the n historical monitoring time periods within several historical years that are concurrent with D1.

[0005] S200: Based on D1 and D2, obtain the estimated power consumption information corresponding to the current monitoring time period.

[0006] S300: Based on the estimated power consumption information corresponding to the current monitoring time period, a target reference curve is constructed; the target reference curve is used to reflect the mapping relationship between time and power consumption.

[0007] S400 obtains the target power consumption monitored in real time during the current monitoring period, and adjusts and monitors the current power consumption data in real time based on the target power consumption and the cumulative power consumption in the target reference curve.

[0008] Specifically, the target office ID is a unique identifier for the target office.

[0009] Specifically, the historical electricity consumption information includes peak electricity consumption, peak-valley electricity consumption, peak time point, peak-valley time point, and total electricity consumption.

[0010] Specifically, the S200 procedure includes the following steps: S201, for any indicator in the historical electricity consumption information, obtain the estimated value corresponding to the indicator based on the historical values ​​of the indicator in D1 and D2; wherein, the estimated value corresponding to the indicator meets the following conditions: K a =W1×E1 a +(1-W1)×E2 a , where K a Let W1 be the estimated value corresponding to the a-th indicator, and E1 be the preset weight corresponding to D1. a E2 represents the historical average value of the a-th indicator in D1. a This represents the historical average value of the a-th indicator in D2.

[0011] S202, based on the estimated value corresponding to each indicator, summarizes the estimated electricity consumption information corresponding to the current monitoring time period.

[0012] Furthermore, W1 can be determined in step S201 through the following steps: S2011, when the indicator is either a peak time point or a trough time point, obtain the first time list T1 corresponding to the indicator from D1, and obtain the second time list T2 corresponding to the indicator from D2.

[0013] S2012, obtain the time discreteness S1 corresponding to T1 and the time discreteness S2 corresponding to T2.

[0014] S2013, based on S1 and S2, determine W1; where W1 satisfies the following conditions: W1 = S2 / (S1 + S2).

[0015] Specifically, the S300 procedure includes the following steps: S301. Based on the peak electricity consumption, peak-valley electricity consumption, peak time point, peak-valley time point, and the coordinate points corresponding to the pre-acquired start time point and end time point, connect several coordinate points sequentially with straight lines in the horizontal direction to obtain an initial reference curve.

[0016] S302, when the difference between the total electricity consumption corresponding to the initial reference curve and the total electricity consumption in the estimated electricity consumption information is greater than the preset difference threshold, the preset curve fitting model corresponding to the concave curve is used to fit several coordinate points to obtain the target reference curve.

[0017] S303, when the difference between the total electricity consumption in the estimated electricity consumption information and the total electricity consumption corresponding to the initial reference curve is greater than the preset difference threshold, the preset curve fitting model corresponding to the convex curve is used to fit several coordinate points to obtain the target reference curve.

[0018] S304, when the difference between the maximum and minimum values ​​of the total electricity consumption corresponding to the initial reference curve and the total electricity consumption in the estimated electricity consumption information is not greater than a preset difference threshold, the initial reference curve is used as the target reference curve.

[0019] Specifically, the S400 procedure also includes the following steps: S401: Based on the target power consumption monitored in real time, obtain the total real-time power consumption within the current monitoring time period.

[0020] S402, calculate the power difference between the total real-time power consumption within the current monitoring time period and the cumulative power consumption at the corresponding moment in the target reference curve, based on a preset time interval.

[0021] S403, when the power difference is greater than the preset power threshold, the power consumption of the target device in the area corresponding to the target office ID is reduced by the preset power step size corresponding to the power difference and monitored in real time until the power difference is less than the preset recovery threshold, and the target device is gradually or completely reset to the state before adjustment.

[0022] Furthermore, the method also includes the following steps: S10: Based on the target office IDs corresponding to each floor ID of the target building and the real-time power consumption corresponding to each office ID, obtain the total power consumption of the office corresponding to each floor ID in real time.

[0023] S20, when the total power consumption of the office corresponding to any floor ID is greater than the preset power limit value corresponding to any floor ID, the power consumption of the public area equipment corresponding to any floor ID is adjusted.

[0024] According to a second aspect of the present invention, a non-transitory computer-readable storage medium is provided, wherein at least one instruction or at least one program is stored therein, the at least one instruction or the at least one program being loaded and executed by a processor to implement the above-described building power monitoring method.

[0025] According to a third aspect of the present invention, an electronic device is provided, including a processor and the aforementioned non-transitory computer-readable storage medium.

[0026] The present invention has at least the following beneficial effects: This invention provides a method for monitoring building electricity consumption. First, it acquires a first historical electricity consumption information set and a second historical electricity consumption information set corresponding to the target office in the target building. Based on these sets, it obtains the estimated electricity consumption information for the current monitoring time period, using historical electricity consumption information to make the acquisition of estimated electricity consumption information more reliable. Then, it constructs a target reference curve based on the estimated electricity consumption information to reflect the mapping relationship between time and electricity consumption. Since the target reference curve is a reasonable curve constructed based on historical averages, it can reflect the average electricity consumption of the office, thus providing a reasonable reference for subsequent electricity consumption adjustments. Finally, it acquires the target electricity consumption monitored in real time for the current monitoring time period. Based on the real-time monitored target electricity consumption and the cumulative electricity consumption in the target reference curve, it compares the real-time monitored total electricity consumption with the cumulative electricity consumption at the corresponding time in the curve, enabling timely judgment of the energy consumption of the target office and making reasonable adjustments to the office's electricity consumption, which is conducive to maximizing and rationally utilizing the building's power resources. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A flowchart of a building power monitoring method provided in an embodiment of the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] Example 1 Embodiment 1 of the present invention provides a method for monitoring building electricity consumption, such as... Figure 1 As shown, the method includes the following steps: S100: Obtain the first historical electricity consumption information set D1 and the second historical electricity consumption information set D2 corresponding to the target office ID of the target building; wherein, D1 includes historical electricity consumption information corresponding to m historical monitoring time periods before the current monitoring time period, and D2 includes historical electricity consumption information corresponding to n historical monitoring time periods within several historical years that are concurrent with D1. In a specific embodiment, the historical monitoring time period can be 1 day. For example, D1 includes historical electricity consumption information corresponding to the 7 days before the current day, and D2 includes historical electricity consumption information corresponding to the 7 days before the current day in the previous year and the year before, that is, D2 contains a total of 14 sets of historical electricity consumption information.

[0031] Specifically, the target office ID is a unique identifier for the target office.

[0032] Specifically, the historical electricity consumption information includes peak electricity consumption, peak-valley electricity consumption, peak time point, peak-valley time point, and total electricity consumption.

[0033] The above-mentioned method, by obtaining historical electricity consumption information from the previous few days that are close to the current monitoring time period, and also considering historical electricity consumption information from the same period in previous years, can serve as a reference for the electricity consumption situation in the current monitoring time period, so as to realize reasonable adjustments to the electricity consumption situation in the future.

[0034] S200: Based on D1 and D2, obtain the estimated power consumption information corresponding to the current monitoring time period.

[0035] Specifically, the S200 procedure includes the following steps: S201, for any indicator in the historical electricity consumption information, obtain the estimated value corresponding to the indicator based on the historical values ​​of the indicator in D1 and D2; wherein, the estimated value corresponding to the indicator meets the following conditions: K a =W1×E1 a +(1-W1)×E2 a , where K a Let W1 be the estimated value corresponding to the a-th indicator, and E1 be the preset weight corresponding to D1. a E2 represents the historical average value of the a-th indicator in D1. a This represents the historical average value of the a-th indicator in D2.

[0036] In one implementation, W1 > 0.5.

[0037] As mentioned above, since the historical electricity consumption information in the first historical electricity consumption information set is closer to the current monitoring time period in terms of time, its average value can generally better represent the current electricity consumption information. Therefore, the weight setting method of giving priority to recent data is used by default, and W1 is given a larger weight to obtain a reasonable estimate, so as to provide a reasonable reference for subsequent electricity consumption adjustments.

[0038] In another embodiment, W1 can also be determined in step S201 by the following steps: S2011, when the indicator is either a peak time point or a peak-valley time point, obtain the first time list T1 corresponding to the indicator from D1, and obtain the second time list T2 corresponding to the indicator from D2. For example, when the indicator is a peak time point, several peak time points obtained from D1 will be combined into T1, and the acquisition of T2 will be similar.

[0039] S2012, obtain the time discreteness S1 corresponding to T1 and the time discreteness S2 corresponding to T2.

[0040] Specifically, S1 meets the following conditions: , where t i Let t10 be the i-th peak / valley time point, and t10 be the average value of the peak / valley time points in D1.

[0041] Specifically, S2 meets the following conditions: , where t j Let t20 be the j-th peak / valley time point, and t20 be the average value of the peak / valley time points in D2.

[0042] S2013, based on S1 and S2, determine W1; where W1 satisfies the following conditions: W1 = S2 / (S1 + S2).

[0043] S202, based on the estimated value corresponding to each indicator, summarizes the estimated electricity consumption information corresponding to the current monitoring time period.

[0044] As mentioned above, when calculating the weight values ​​corresponding to the indicators for the subsequent construction of the target reference curve, it is necessary to draw the curve based on the determined peak time points and peak-valley time points. Therefore, the estimated values ​​of the peak time points and peak-valley time points have been further optimized. The smaller the dispersion of the corresponding values, the better the reliability of the data. Therefore, the weights of the peak / peak-valley time points in the first and second historical electricity consumption information have been further limited. The data is dynamically generated according to its inherent characteristics, making it more adaptive and making the estimated value results more reasonable, thereby enhancing the reference value and reliability of the target reference curve.

[0045] S300: Based on the estimated power consumption information corresponding to the current monitoring time period, a target reference curve is constructed; the target reference curve is used to reflect the mapping relationship between time and power consumption.

[0046] Specifically, the S300 procedure includes the following steps: S301, based on the peak electricity consumption, peak-valley electricity consumption, peak time point, peak-valley time point, and the coordinate points corresponding to the pre-acquired start and end time points, connect several coordinate points sequentially with straight lines in the horizontal direction to obtain an initial reference curve; it can be understood that: the horizontal axis of the start and end time points are both time values, and the vertical axis is 0; the horizontal axis corresponding to the peak electricity consumption is the peak time point, and the vertical axis is the value corresponding to the peak electricity consumption; the horizontal axis corresponding to the peak-valley electricity consumption is the peak-valley time point, and the vertical axis is the value corresponding to the peak-valley electricity consumption.

[0047] S302, when the difference between the total electricity consumption corresponding to the initial reference curve and the total electricity consumption in the estimated electricity consumption information is greater than a preset difference threshold, a preset curve fitting model corresponding to the concave curve is used to fit several coordinate points to obtain the target reference curve. It should be noted that during the fitting process, fitting constraints are set according to actual needs. For example, the difference between the total electricity consumption corresponding to the fitted curve and the total electricity consumption in the estimated electricity consumption information must be less than a preset electricity consumption value. The preset curve fitting model corresponding to the concave curve can be either a logarithmic function fitting model or a polynomial fitting model. Those skilled in the art are familiar with the specific fitting methods of these two models, and will not be elaborated upon here.

[0048] S303, when the difference between the total electricity consumption in the estimated electricity consumption information and the total electricity consumption corresponding to the initial reference curve is greater than a preset difference threshold, a preset curve fitting model corresponding to the convex curve is used to fit several coordinate points to obtain the target reference curve. The preset curve fitting model corresponding to the convex curve can be any one of exponential function or linear piecewise fitting. Those skilled in the art are familiar with the specific fitting methods of these two fitting models, and will not be elaborated here.

[0049] S304, when the difference between the maximum and minimum values ​​of the total electricity consumption corresponding to the initial reference curve and the total electricity consumption in the estimated electricity consumption information is not greater than a preset difference threshold, the initial reference curve is used as the target reference curve.

[0050] As mentioned above, in the process of obtaining the target reference curve, the difference between the total cumulative electricity consumption corresponding to the curve and the estimated total electricity consumption was taken into account. Based on the magnitude of the difference, a suitable fitting model was selected for fitting, so that the obtained curve is closer to the estimated value and the fitting is more accurate. Thus, the fitted curve provides a reliable reference basis for subsequent electricity consumption adjustments.

[0051] S400 obtains the target power consumption monitored in real time during the current monitoring period, and adjusts and monitors the current power consumption data in real time based on the target power consumption and the cumulative power consumption in the target reference curve.

[0052] Specifically, in step S400, the real-time adjustment and monitoring of the current electricity consumption data based on the target electricity consumption and the cumulative electricity consumption in the target reference curve includes the following steps: S401: Based on the target power consumption monitored in real time, obtain the total real-time power consumption within the current monitoring time period; this can be understood as: the total real-time power consumption is the total power consumption from the start time of the current monitoring time period to the current time.

[0053] S402, based on a preset time interval, calculates the power difference between the total real-time power consumption within the current monitoring time period and the cumulative power consumption at the corresponding moment in the target reference curve; this can be understood as: calculating the power difference every preset time interval. In specific implementations, the preset time interval can be 3-5 seconds.

[0054] S403, when the power difference is greater than a preset power threshold, the power consumption of the target device in the area corresponding to the target office ID is reduced by a preset power step size corresponding to the power difference, and real-time monitoring is performed until the power difference is less than a preset recovery threshold. Then, the target device is gradually or completely reset to its pre-adjustment state. Those skilled in the art can set the preset power threshold according to actual needs, such as based on the size of the target building or office, which will not be elaborated here.

[0055] Furthermore, the preset recovery threshold can be a complex number close to zero, or a small positive range, such as -0.1kWh to 0.1kWh, forming a dead zone to prevent the system from frequently operating near zero. Alternatively, performing a reset operation only after the power difference has remained within a preset good range for a period of time can significantly improve the stability of the control system.

[0056] In practice, the power difference is set with multiple difference ranges, each corresponding to a preset power step size. The larger the power difference in a given range, the larger the preset power step size. For example, when the power difference is large, it indicates that the total real-time power consumption within the current monitoring period has significantly exceeded the cumulative power consumption at the corresponding moment in the target reference curve, requiring adjustments to the target equipment, such as reducing the airflow of the central air conditioning or adjusting the power of electrical appliances.

[0057] As mentioned above, since the target reference curve is a reasonable curve constructed based on historical averages, it can reflect the average electricity consumption of the office. Therefore, it is used as a reference. By comparing the real-time total electricity consumption monitored in real time with the cumulative electricity consumption at the corresponding time on the curve, the energy consumption of the target office can be judged in a timely manner. When the electricity consumption is too high, the equipment needs to be adjusted to achieve the effect of saving electricity resources and energy conservation and environmental protection.

[0058] Furthermore, the method also includes the following steps: S10: Based on the target office IDs corresponding to each floor ID of the target building and the real-time power consumption corresponding to each office ID, obtain the total power consumption of the office corresponding to each floor ID in real time; this can be understood as: obtaining the total power consumption of all offices on each floor.

[0059] S20: When the total power consumption of the office corresponding to any floor ID exceeds the preset power limit value corresponding to that floor ID, the power consumption of the public area equipment corresponding to that floor ID is adjusted. For example, some lights in the corridor can be turned off or the central air conditioning vents in the public area can be turned off.

[0060] In addition to obtaining the electricity consumption of the offices, the total electricity consumption of each floor can also be obtained. By adjusting and controlling the total electricity consumption of each floor, it is beneficial to rationally regulate the electricity consumption of the entire building, thereby reducing the overall electricity consumption of the building and making the electricity consumption of each office more reasonable, thus promoting the maximum and rational utilization of the building's power resources.

[0061] Example 2 Embodiment 2 of the present invention provides a non-transitory computer-readable storage medium, which can be disposed in an electronic device to store at least one instruction or at least one program related to implementing a method in the method embodiment. The at least one instruction or the at least one program is loaded and executed by the processor to implement the steps: S100, obtain the first historical electricity consumption information set D1 and the second historical electricity consumption information set D2 corresponding to the target office ID of the target building; wherein, D1 includes the historical electricity consumption information corresponding to the m historical monitoring time periods before the current monitoring time period, and D2 includes the historical electricity consumption information corresponding to the n historical monitoring time periods within several historical years that are concurrent with D1.

[0062] S200: Based on D1 and D2, obtain the estimated power consumption information corresponding to the current monitoring time period.

[0063] S300: Based on the estimated power consumption information corresponding to the current monitoring time period, a target reference curve is constructed; the target reference curve is used to reflect the mapping relationship between time and power consumption.

[0064] S400 obtains the target power consumption monitored in real time during the current monitoring period, and adjusts and monitors the current power consumption data in real time based on the target power consumption and the cumulative power consumption in the target reference curve.

[0065] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0066] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0067] Example 3 Embodiment 3 of the present invention provides an electronic device, including a processor and the aforementioned non-transitory computer-readable storage medium.

[0068] While specific embodiments of the invention have been described in detail by way of example, those skilled in the art should understand that the examples are for illustrative purposes only and not intended to limit the scope of the invention. It should also be understood that various modifications can be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.

Claims

1. A method for monitoring building electricity consumption, characterized in that, The method includes the following steps: S100, obtain the first historical electricity consumption information set D1 and the second historical electricity consumption information set D2 corresponding to the target office ID of the target building; wherein, D1 includes the historical electricity consumption information corresponding to the m historical monitoring time periods before the current monitoring time period, and D2 includes the historical electricity consumption information corresponding to the n historical monitoring time periods within several historical years that are concurrent with D1. S200, based on D1 and D2, obtains the estimated power consumption information corresponding to the current monitoring time period; S300, based on the estimated power consumption information corresponding to the current monitoring time period, constructs a target reference curve; the target reference curve is used to reflect the mapping relationship between time and power consumption; S400 obtains the target power consumption monitored in real time during the current monitoring period, and adjusts and monitors the current power consumption data in real time based on the target power consumption and the cumulative power consumption in the target reference curve.

2. The building power monitoring method according to claim 1, characterized in that, The target office ID is a unique identifier for the target office.

3. The building power monitoring method according to claim 1, characterized in that, The historical electricity consumption information includes peak electricity consumption, peak-valley electricity consumption, peak time point, peak-valley time point, and total electricity consumption.

4. The building power monitoring method according to claim 3, characterized in that, The S200 procedure includes the following steps: S201, for any indicator in the historical electricity consumption information, obtain the estimated value corresponding to the indicator based on the historical values ​​of the indicator in D1 and D2; wherein, the estimated value corresponding to the indicator meets the following conditions: K a =W1×E1 a +(1-W1)×E2 a , where K a Let W1 be the estimated value corresponding to the a-th indicator, and E1 be the preset weight corresponding to D1. a E2 represents the historical average value of the a-th indicator in D1. a This represents the historical average value of the a-th indicator in D2; S202, based on the estimated value corresponding to each indicator, summarizes the estimated electricity consumption information corresponding to the current monitoring time period.

5. The building power monitoring method according to claim 4, characterized in that, In step S201, W1 can also be determined through the following steps: S2011, when the indicator is either a peak time point or a trough time point, obtain the first time list T1 corresponding to the indicator from D1, and obtain the second time list T2 corresponding to the indicator from D2; S2012, obtain the time discreteness S1 corresponding to T1 and the time discreteness S2 corresponding to T2; S2013, based on S1 and S2, determine W1; where W1 satisfies the following conditions: W1 = S2 / (S1 + S2).

6. The building power monitoring method according to claim 3, characterized in that, The S300 procedure includes the following steps: S301. Based on the peak electricity consumption, peak-valley electricity consumption, peak time point, peak-valley time point, and the coordinate points corresponding to the pre-acquired start time point and end time point, connect several coordinate points sequentially with straight lines in the horizontal direction to obtain an initial reference curve. S302, when the difference between the total electricity consumption corresponding to the initial reference curve and the total electricity consumption in the estimated electricity consumption information is greater than the preset difference threshold, the preset curve fitting model corresponding to the concave curve is used to fit several coordinate points to obtain the target reference curve. S303, when the difference between the total electricity consumption in the estimated electricity consumption information and the total electricity consumption corresponding to the initial reference curve is greater than the preset difference threshold, the preset curve fitting model corresponding to the convex curve is used to fit several coordinate points to obtain the target reference curve. S304, when the difference between the maximum and minimum values ​​of the total electricity consumption corresponding to the initial reference curve and the total electricity consumption in the estimated electricity consumption information is not greater than a preset difference threshold, the initial reference curve is used as the target reference curve.

7. The building power monitoring method according to claim 1, characterized in that, In step S400, the step of adjusting and monitoring the current electricity consumption data in real time based on the target electricity consumption and the cumulative electricity consumption in the target reference curve includes the following steps: S401: Based on the target power consumption monitored in real time, obtain the total real-time power consumption within the current monitoring time period; S402, calculate the power difference between the total real-time power consumption within the current monitoring time period and the cumulative power consumption at the corresponding moment in the target reference curve, based on a preset time interval; S403, when the power difference is greater than the preset power threshold, the power consumption of the target device in the area corresponding to the target office ID is reduced by the preset power step size corresponding to the power difference and monitored in real time until the power difference is less than the preset recovery threshold, and the target device is gradually or completely reset to the state before adjustment.

8. The building power monitoring method according to claim 1, characterized in that, The method further includes the following steps: S10: Based on the target office IDs corresponding to each floor ID of the target building and the real-time power consumption corresponding to each office ID, obtain the total power consumption of the office corresponding to each floor ID in real time. S20, when the total power consumption of the office corresponding to any floor ID is greater than the preset power limit value corresponding to any floor ID, the power consumption of the public area equipment corresponding to any floor ID is adjusted.

9. A non-transitory computer-readable storage medium, wherein the storage medium stores at least one instruction or at least one program segment, characterized in that, The at least one instruction or the at least one program segment is loaded and executed by the processor to implement the building power monitoring method as described in any one of claims 1-8.

10. An electronic device, characterized in that, Includes a processor and the non-transitory computer-readable storage medium as described in claim 9.

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