Comprehensive energy management method, server and system

Abstract

The invention provides a comprehensive energy management method, a server and a system, belongs to the field of energy management, and is used for solving the problem that reasonable management of comprehensive energy is relatively inconvenient in the related technology, and the method comprises the steps: obtaining a generated energy consumption value of each energy of a user in a charging time period at the current moment; according to historical energy consumption data of the user, determining a general energy consumption value of a charging period at a current moment relative to each energy; determining a planned energy consumption value for each energy source, wherein the planned energy consumption value is associated with the general energy consumption value of the corresponding energy source and the generated energy consumption value and the general energy consumption value based on other energy sources; and judging whether an excess prompt signal is generated or not according to the generated energy consumption value and the planned energy consumption value. In the comprehensive energy management work, when energy consumption is considered, a single type of energy itself is considered, and the consumption relation between different types of energy needs to be combined, so that the comprehensive energy management strategy is more reasonable.

Description

Technical Field

[0001] This application relates to the field of energy management, and particularly to a comprehensive energy management method, server and system. Background Art

[0002] The purposes of energy management generally include energy conservation, effective utilization of energy, and continuous use of energy, etc. Comprehensive energy involves various types of energy such as water, electricity, gas, cold, and heat, which makes the unified and reasonable management of comprehensive energy more difficult than that of single-type energy management. Summary of the Invention

[0003] This application provides a comprehensive energy management method, server and system, which can facilitate the reasonable management of comprehensive energy.

[0004] In a first aspect, this application provides a comprehensive energy management method. The method includes: Obtaining the consumed energy value that has occurred for each type of energy at the current charging period, where the charging period is determined based on time-of-use charging rules; Determining a general energy consumption value for the current charging period for each type of energy according to the user's energy consumption historical data; Determining a planned energy consumption value for each type of energy, where the planned energy consumption value is associated with the general energy consumption value of the corresponding energy and the consumed energy value and general energy consumption value of other energies; Judging whether to generate an over-limit prompt signal according to the consumed energy value and the planned energy consumption value.

[0005] By adopting the above technical solutions, in the comprehensive energy management work, when considering energy consumption, not only the single type of energy itself is considered, but also the consumption relationship between different types of energy is combined, which is conducive to making the comprehensive energy management strategy more reasonable.

[0006] Further, the determining a general energy consumption value for the current charging period for each type of energy according to the user's energy consumption historical data includes: For each type of energy, Determining the historical period energy consumption values of several periodic periods of the current charging period according to preset periodic rules; Determining a charging unit segment for each periodic period and determining the historical unit segment energy consumption value of each charging unit segment, where the charging unit segment includes a group of charging periods with the corresponding periodic period as the ending period; Calculating a first expected energy consumption value according to the historical period energy consumption values; Calculate a second expected energy consumption value based on the historical unit - segment energy consumption value, the historical unit - segment energy consumption value of the billing unit segment ending with the billing period where the current moment is located, and the occurred energy consumption value of the billing period where the current moment is located; Determine the general energy consumption value according to the first expected energy consumption value and the second expected energy consumption value.

[0007] Further, the calculating the first expected energy consumption value according to the historical period energy consumption value includes: Suppose there are nearly m periodic periods, and the historical period energy consumption value of the i - th periodic period is , and the first periodic historical period is the closest to the current moment; Calculate the difference in energy consumption values between adjacent periodic periods , , ; Judge whether the differences in energy consumption values are all not less than 0 or all less than 0; If so, the first expected energy consumption value , otherwise the first expected energy consumption value , where p is the number of energy consumption value differences not less than 0, q is the number of energy consumption value differences less than 0, is the first calculation weight, is the second calculation weight.

[0008] Further, the calculating the second expected energy consumption value according to the historical unit - segment energy consumption value, the historical unit - segment energy consumption value of the billing unit segment ending with the billing period where the current moment is located, and the occurred energy consumption value of the billing period where the current moment is located includes: Suppose the historical unit - segment energy consumption value of the i - th billing unit segment is , the historical unit energy consumption value of the billing unit segment ending with the billing period where the current moment is located is , and the occurred energy consumption value of the billing period where the current moment is located is ; Calculate the difference in unit - segment energy consumption between adjacent historical unit segments , , ; Judge whether the differences in unit - segment energy consumption are all not less than 0 or all less than 0; Calculate the historical expected energy consumption value L. If so, , otherwise , where x is the number of unit - segment energy consumption differences not less than 0, y is the number of unit - segment energy consumption differences less than 0, is the third calculation weight, is the fourth calculation weight; Calculate the second expected energy consumption value M, , It is the fifth calculated weight value.

[0009] Further, the determination of the general energy consumption value according to the first expected energy consumption value and the second expected energy consumption value includes: , where O is the general energy consumption value, F is the first expected energy consumption value, M is the second expected energy consumption value, is the sixth calculated weight value, is the seventh calculated weight value.

[0010] Further, the determination of a planned energy consumption value for each type of energy includes: Suppose there are n types of energy in total, and the occurred energy consumption value of the i-th type of energy is , the general energy consumption value is , and the planned energy consumption value is . Then the planned energy consumption value of the j-th type of energy, where is the pre-designed budget weight value of the i-th type of energy.

[0011] Further, the determination of whether to generate an over-limit prompt signal according to the occurred energy consumption value and the planned energy consumption value includes: Determine that the interval duration between the start time point of the current charging period and the current time is the occurred duration; Calculate the consumption value ratio of the occurred consumption value to the planned consumption value and the duration ratio of the occurred duration to the period duration of the current charging period; Judge whether the consumption value ratio is higher than the product of the duration ratio and the preset ratio weight; If so, generate an over-limit prompt signal for the corresponding type of energy.

[0012] In a second aspect, the present application provides a server for integrated energy management. The server applies any one of the methods described in the first aspect above.

[0013] In a third aspect, the present application provides an integrated energy management system. The system includes a plurality of user terminals and the server described in the second aspect above.

[0014] In summary, the present application at least includes the following beneficial effects: It provides an integrated energy management method, server and system, which can combine all energies and consider the management strategies of each energy, so that the integrated energy management strategy is more reasonable.

[0015] It should be understood that the content described in the summary of the invention is not intended to limit the key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become easily understood through the following description. Description of the Drawings

[0016] In conjunction with the accompanying drawings and with reference to the following detailed description, the above and other features, advantages, and aspects of the embodiments of the present application will become more apparent. In the drawings, the same or similar reference numerals denote the same or similar elements, where: Figure 1 A block diagram showing an exemplary operating environment in which embodiments of the present application can be implemented; Figure 2 A flowchart showing a comprehensive energy management method in an embodiment of the present application. Detailed Description of the Embodiments

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the scope of protection of the present application.

[0018] In addition, the term "and / or" in this document is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally represents an "or" relationship between the associated objects before and after.

[0019] The present application provides a comprehensive energy management method, a server, and a system, which are beneficial to making the comprehensive energy management strategy more reasonable.

[0020] In a first aspect, the present application provides a comprehensive energy management method.

[0021] Figure 1 A block diagram showing an exemplary operating environment in which embodiments of the present application can be implemented.

[0022] Referring to Figure 1 , the operating environment includes a server 110 and a plurality of user terminals 120. The server 110 is communicatively connected to the user terminals 120. The user terminals 120 are used to monitor the real-time consumption of each type of energy by the user, and the server 110 stores the historical energy consumption data of the user.

[0023] Figure 2 A flowchart showing a comprehensive energy management method in an embodiment of the present application.

[0024] Referring to Figure 1 , the method specifically includes the following steps: S210: Obtain the consumed energy value that has occurred for each type of energy at the current charging period.

[0025] The charging period is determined based on the time-of-use charging rule.

[0026] Specifically, the unit price of each type of energy is different in different charging periods. The time-of-use charging rule includes a charging unit period and a charging period. In the embodiments of the present application, the charging unit period is one day. For each type of energy, considering the off-peak utilization of energy, the unit price of energy is different at different times from 0:00 to 24:00 in a day. A period with the same and continuous unit price of energy can be set as the charging period. For example, taking electric energy as an example, the electricity price unit from 0:00 to 4:30 is the first price, the electricity price unit from 4:30 to 8:30 is the second price, the electricity price unit from 8:30 to 10:30 is the third price, the electricity price unit from 10:30 to 13:30 is the fourth price, the electricity price unit from 13:30 to 16:30 is the fifth price, the electricity price unit from 16:30 to 19:30 is the sixth price, and the electricity price unit from 19:30 to 24:00 is the seventh price. Then the seven periods corresponding to the seven electricity prices are the seven charging periods of electric energy, and 0:00 - 24:00 is a charging unit period.

[0027] For the consideration of the charging periods of other types of energy such as water, gas, heat, cold, etc., reference can be made to the description of the charging period of electric energy. The charging unit period of each type of energy is 0:00 - 24:00 (one day). Of course, on the basis of ensuring that the duration of the charging unit period of all types of energy is the same, the charging unit period can also be other durations.

[0028] Based on the above, if the current time is 12:00, for a certain type of energy (such as electric energy), the charging period where the current time is located is 10:30 - 13:30, then the consumed energy value that has occurred is the energy consumption value of the user from 10:30 to 12:00.

[0029] S220: Determine a general energy consumption value for the current charging period for each type of energy according to the user's historical energy consumption data.

[0030] The method of this step specifically includes: for each type of energy, determining the historical period energy consumption values of several periodic periods in the current charging period according to a preset periodic rule; determining a charging unit segment for each periodic period, and determining the historical unit segment energy consumption value of each charging unit segment, where the charging unit segment includes a group of charging periods with the corresponding periodic period as the ending period; calculating a first expected energy consumption value according to the historical period energy consumption values; calculating a second expected energy consumption value according to the historical unit segment energy consumption values, the historical unit segment energy consumption value of the charging unit segment with the current charging period as the ending period, and the occurred energy consumption value of the current charging period; and determining the general energy consumption value according to the first expected energy consumption value and the second expected energy consumption value.

[0031] The periodic rule is a rule that cycles according to a certain period duration, such as a one-day cycle, a one-week cycle, a one-month cycle, a one-quarter cycle, or a one-year cycle, etc. Under the periodic rule, for each moment at the same position relative to the initial moment of each cycle, for example, with a one-day cycle, if the current moment is 12:00 and the charging period for a certain type of energy at the current moment is 10:30 - 13:30, then 10:30 - 13:30 of each day such as yesterday, the day before yesterday, and the day before the day before yesterday are the periodic periods of the current charging period. If the cycle is one week and the current moment is 12:00 on Wednesday, and the charging period for a certain type of energy at the current moment is 10:30 - 13:30, then 10:30 - 13:30 on Wednesday of any week such as last week and the week before last week are the periodic periods of the current charging period. The same applies to other cycles.

[0032] Under the periodic rule, a charging unit segment can be determined for each periodic period. For example, if the cycle is one day and the periodic period is 10:30 - 13:30 every day, then the charging unit segments are 13:30 the day before yesterday - 13:30 yesterday, 13:30 three days before yesterday - 13:30 the day before yesterday... If the cycle is one week and the periodic period is 10:30 - 13:30 every Wednesday, then the corresponding charging unit segment is 13:30 on Tuesday - 13:30 on Wednesday every week.

[0033] Combined with the above, based on the periodic rule, the periodic periods of the current charging period can be determined, and a charging unit segment can be determined for each periodic period. The charging unit segment ends with the corresponding periodic period. In the embodiment of the present application, the determined periodic periods are the most recent several and are continuous under the periodic rule.

[0034] Specifically, the calculating the first expected energy consumption value according to the historical period energy consumption values includes: assuming there are nearly m periodic periods, and the historical period energy consumption value of the i-th periodic period is , the first periodic historical period is the closest to the current moment; calculate the difference in energy consumption values between adjacent periodic periods , , ; determine whether the differences in energy consumption values are all not less than 0 or all less than 0; if so, the first expected energy consumption value , otherwise the first expected energy consumption value , where p is the number of energy consumption value differences not less than 0, q is the number of energy consumption value differences less than 0, is the first calculation weight, is the second calculation weight. In the embodiments of the present application, both the first calculation weight and the second calculation weight are constants greater than 0 and less than 1. The first calculation weight can specifically take 0.5, and the second calculation weight can specifically take 0.3.

[0035] The calculating the second expected energy consumption value according to the historical unit segment energy consumption value, the historical unit segment energy consumption value of the billing unit segment ending with the billing period where the current moment is located, and the occurred energy consumption value of the billing period where the current moment is located includes: Let the historical unit segment energy consumption value of the i-th billing unit segment be , the historical unit energy consumption value of the billing unit segment ending with the billing period where the current moment is located is , the occurred energy consumption value of the billing period where the current moment is located is ; calculate the unit segment energy consumption difference between adjacent historical unit segments , , ; determine whether the unit segment energy consumption differences are all not less than 0 or all less than 0; calculate the historical expected energy consumption value L, if so, , otherwise , where x is the number of unit segment energy consumption differences not less than 0, y is the number of unit segment energy consumption differences less than 0, is the third calculation weight, is the fourth calculation weight; calculate the second expected energy consumption value M, , is the fifth calculation weight. In the embodiments of the present application, both the third calculation weight and the fourth calculation weight are constants greater than 0 and less than 1. The third calculation weight can specifically take 0.4, and the fourth calculation weight can specifically take 0.2; the fifth calculation weight takes a constant greater than 0, and can specifically take a value within the range of 0.6 - 1.5, for example, take 1.

[0036] The determining the general energy consumption value according to the first expected energy consumption value and the second expected energy consumption value includes: , where O is the general energy consumption value, F is the first expected energy consumption value, M is the second expected energy consumption value, is the sixth calculation weight, is the seventh calculated weight value. In the embodiments of the present application, both the sixth calculated weight value and the seventh calculated weight value are constants not less than 0. In one example, both the sixth calculated weight value and the seventh calculated weight value take values greater than 0 and less than 1. For example, both take the value of 0.5.

[0037] S230: Determine a planned energy consumption value for each type of energy, where the planned energy consumption value is associated with the general energy consumption value of the corresponding energy and the occurred energy consumption value and general energy consumption value based on other energies.

[0038] In the method of this step, the determining a planned energy consumption value for each type of energy includes: assuming there are n types of energy in total, the occurred energy consumption value of the i-th type of energy is , the general energy consumption value is , and the planned energy consumption value is , then the planned energy consumption value of the j-th type of energy, where is the pre-designed budget weight value of the i-th type of energy. In the embodiments of the present application, is a constant, and its value generally ranges from 0 to 1.

[0039] S240: Determine whether to generate an overage prompt signal based on the occurred energy consumption value and the planned energy consumption value.

[0040] The method of this step includes: determining the interval duration between the start time point of the current billing period and the current moment as the occurred duration; calculating the consumption value ratio of the occurred consumption value to the planned consumption value and the duration ratio of the occurred duration to the period duration of the current billing period; determining whether the consumption value ratio is higher than the product of the duration ratio and the preset ratio weight; if so, generating an overage prompt signal for the corresponding type of energy.

[0041] The overage prompt signal can be used to be sent to the user terminal 120 to prompt the user that a certain type of energy has been used in excess. It should be understood that to avoid inconvenience to the user caused by repeated reminders, the overage prompt signal for each type of energy should be valid within the preset response duration, that is, if an overage prompt signal has been sent for a certain type of energy, within the preset response duration, even if the overage prompt signal for this type of energy is generated again, it will no longer be sent to the user.

[0042] Based on the above content, it can be seen that this method can achieve the management of comprehensive energy. In the process of managing comprehensive energy, it does not manage each type of energy independently, but will analyze the coupling relationship between different energy consumptions based on data, so that the overall management prompt strategy of comprehensive energy is more reasonable.

[0043] It should be understood that this method is essentially a machine learning model, and the parameters of the machine learning model can be trained based on the user's feedback on the overage prompt signal (energy consumption behavior after receiving the overage prompt signal). The parameters include, for example, the first to seventh calculation weights, the pre-designed calculation weights of each energy relative to each other energy, the period of the periodic rule, the number of periodic time periods, etc. During long-term use, the parameters of the machine learning model are trained by the feedback behavior of the user after receiving the overage prompt signal, making the management prompt strategy of this method for each user and each energy more and more reasonable.

[0044] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to the embodiments of this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0045] In a second aspect, this application provides a server for integrated energy management. The server 110 applies the method disclosed in the first aspect of the embodiments of this application above. The server 110 can be implemented as Figure 1 the server 110 in Figure 1 or be included in the server 110 in Figure 1 In a third aspect, this application provides an integrated energy management system. The system includes a plurality of user terminals 120 and the server 110 described in the second aspect above. The user terminals 120 in this system can be implemented as Figure 1 the user terminals 120 in Figure 1 or be included in Figure 1 the user terminals 120 in, and the server 110 in this system can be implemented as

[0046] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the described server and system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0047] In summary, this application includes at least the following beneficial effects: It provides an integrated energy management method, server and system, which can combine all energies and consider the management strategies of each energy, thereby making the integrated energy management strategy more reasonable.

[0048] The above description is only a preferred embodiment of the present application and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) disclosed in the present application that have similar functions.

Claims

1. An integrated energy management method, characterized in that, including: obtaining the occurred energy consumption value of each type of energy of the user at the current moment in the current charging period, where the charging period is determined based on the time-of-use charging rule; determining a general energy consumption value of the current charging period at the current moment for each type of energy according to the user's historical energy consumption data; determining a planned energy consumption value for each type of energy, where the planned energy consumption value is associated with the general energy consumption value of the corresponding energy and based on the occurred energy consumption values and general energy consumption values of other energies; judging whether to generate an over - quantity prompt signal according to the occurred energy consumption value and the planned energy consumption value.

2. The method according to claim 1, characterized in that, The determining a general energy consumption value of the current charging period at the current moment for each type of energy according to the user's historical energy consumption data includes: for each type of energy, determining the historical period energy consumption values of several periodic periods of the current charging period at the current moment according to the preset periodic rule; determining a charging unit segment for each periodic period and determining the historical unit segment energy consumption value of each charging unit segment, where the charging unit segment includes a set of charging periods with the corresponding periodic period as the ending period; calculating a first expected energy consumption value according to the historical period energy consumption values; calculating a second expected energy consumption value according to the historical unit segment energy consumption values, the historical unit segment energy consumption value of the charging unit segment with the current charging period where the current moment is located as the ending period, and the occurred energy consumption value of the current charging period where the current moment is located; determining the general energy consumption value according to the first expected energy consumption value and the second expected energy consumption value.

3. The method according to claim 2, wherein The calculating a first expected energy consumption value according to the historical period energy consumption values includes: Suppose there are nearly m periodic time periods, and the historical period energy consumption value of the i-th periodic time period is , and the first periodic historical period is the closest to the current moment; Calculate the difference in energy consumption values for adjacent periodic time periods , , ; judging whether the energy consumption value differences are all not less than 0 or all less than 0; If so, the first expected energy consumption value , otherwise the first expected energy consumption value , where p is the number of energy consumption value differences not less than 0, q is the number of energy consumption value differences less than 0, is the first calculation weight, is the second calculation weight.

4. The method according to claim 3, wherein The calculating a second expected energy consumption value according to the historical unit segment energy consumption values, the historical unit segment energy consumption value of the charging unit segment with the current charging period where the current moment is located as the ending period, and the occurred energy consumption value of the current charging period where the current moment is located includes: Let the historical unit section energy consumption value of the i-th billing unit section be , and the historical unit energy consumption value of the billing unit section ending with the billing period where the current moment is located be , and the occurred energy consumption value of the billing period where the current moment is located be ; Calculate the unit segment energy consumption difference between adjacent historical unit segments , , ; judging whether the unit segment energy consumption differences are all not less than 0 or all less than 0; Calculate the historical expected energy consumption value L. If so, , otherwise , where x is the number of unit-section energy consumption differences not less than 0, and y is the number of unit-section energy consumption differences less than 0. is the third calculation weight, is the fourth calculation weight; Calculate the second expected energy consumption value M, , which is the fifth calculation weight value.

5. The method according to claim 3, wherein The determining the general energy consumption value according to the first expected energy consumption value and the second expected energy consumption value includes: ， Wherein, O is the general energy consumption value, F is the first expected energy consumption value, M is the second expected energy consumption value, is the sixth calculation weight value, is the seventh calculation weight value.

6. The method according to any one of claims 1-5, characterized in that, The determining a planned energy consumption value for each type of energy includes: Suppose there are a total of n types of energy sources. The actual energy consumption value of the i-th energy source is , the general energy consumption value is , and the planned energy consumption value is . Then the planned energy consumption value of the j-th energy source . In the formula, is the pre-designed budget weight of the i-th energy source.

7. The method according to any one of claims 1-5, characterized in that The judging whether to generate an over - quantity prompt signal according to the occurred energy consumption value and the planned energy consumption value includes: determining the interval duration between the start time point of the current charging period at the current moment and the current moment as the occurred duration; calculating the consumption value ratio of the occurred consumption value to the planned consumption value and the duration ratio of the occurred duration to the period duration of the current charging period at the current moment; judging whether the consumption value ratio is higher than the product of the duration ratio and the preset ratio weight; if so, generating an over - quantity prompt signal for the corresponding type of energy.

8. A server for integrated energy management, characterized in that, The server (110) applies the method according to any one of claims 1 - 7.

9. An integrated energy management system, characterized in that, The system includes a plurality of user terminals (120) and the server (110) according to claim 8.

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