Low-carbon Optimization Operation and Carbon Emission Reduction Assessment Method for Energy-consuming Equipment

Abstract

The present application relates to a low-carbon optimized operation and carbon reduction assessment method, device, computer device, computer-readable storage medium and computer program product for energy-consuming equipment, and relates to the technical field of power systems. The method includes: first, obtaining the predicted available power of the target area and the reserved power consumption of the equipment to be operated, then determining the target power consumption of the equipment to be operated based on the predicted available power and the reserved power consumption, and finally adjusting the operating state of the equipment to be operated according to the target power consumption. Among them, the predicted available power is obtained based on the power consumption data of the operating equipment in the target area. Using this method can improve the rationality of the operation mode of the equipment in the target area.

Description

Technical Field

[0001] This application relates to the technical field of power systems, and particularly to a low-carbon optimization operation and carbon reduction assessment method, device, computer device, computer-readable storage medium, and computer program product for energy-consuming equipment. Background Art

[0002] With the rapid development of technology, the types of electrical equipment are becoming more and more diverse and intelligent.

[0003] Taking smart home appliances as an example, in the related art, usually relying on user needs, the operation time and operation mode of smart home appliances are reserved, etc., to instruct the smart home appliances to operate according to the reserved operation time and operation mode, generating a comfortable and convenient living environment.

[0004] However, there is a problem of low rationality in the device operation methods set in the related art. Summary of the Invention

[0005] Based on this, in view of the above technical problems, it is necessary to provide a low-carbon optimization operation and carbon reduction assessment method, device, computer device, computer-readable storage medium, and computer program product for energy-consuming equipment to improve the rationality of the device operation methods in the target area.

[0006] In a first aspect, this application provides a low-carbon optimization operation and carbon reduction assessment method for energy-consuming equipment, and the method includes:

[0007] Obtain the predicted available power of the target area and the reserved power consumption of the equipment to be operated; the predicted available power is obtained based on the power consumption data of the operating equipment in the target area;

[0008] Based on the predicted available power and the reserved power consumption, determine the target power consumption of the equipment to be operated;

[0009] Adjust the operating state of the equipment to be operated according to the target power consumption.

[0010] In one embodiment, obtaining the predicted available power of the target area includes:

[0011] Obtain the power generation data of the target area and the power consumption data of the operating equipment in the target area;

[0012] Obtain the predicted available power of the target area according to the power generation data and the power consumption data.

[0013] In one embodiment, obtaining the predicted available power of the target area according to the power generation data and the power consumption data includes:

[0014] Input the electricity consumption data into a preset electricity consumption prediction model, analyze the electricity consumption data through the electricity consumption prediction model, and obtain the predicted electricity consumption of the target area;

[0015] Calculate the difference between the power generation data and the predicted electricity consumption to obtain the predicted available electricity of the target area.

[0016] In one embodiment, the process of obtaining the reserved electricity consumption of the device to be operated includes:

[0017] In response to the reservation operation instruction of the device to be operated, obtain the reserved operation duration and reserved operation mode of the device to be operated;

[0018] According to the reserved operation duration and reserved operation mode, obtain the reserved electricity consumption of the device to be operated.

[0019] In one embodiment, determining the target electricity consumption of the device to be operated based on the predicted available electricity and the reserved electricity consumption includes:

[0020] If the predicted available electricity is less than the reserved electricity consumption, determine the target electricity consumption of the device to be operated according to the predicted available electricity;

[0021] If the predicted available electricity is greater than the reserved electricity consumption, determine the target electricity consumption of the device to be operated according to the reserved electricity consumption.

[0022] In one embodiment, the low-carbon optimized operation and carbon reduction assessment method for energy-consuming devices further includes:

[0023] When the predicted available electricity is greater than the reserved electricity consumption, obtain the remaining electricity between the predicted available electricity and the reserved electricity consumption, and store the remaining electricity.

[0024] In a second aspect, the present application further provides a low-carbon optimized operation and carbon reduction assessment device for energy-consuming devices, and the device includes:

[0025] An electricity consumption acquisition module, configured to acquire the predicted available electricity of the target area and the reserved electricity consumption of the device to be operated; the predicted available electricity is obtained according to the electricity consumption data of the operating devices in the target area;

[0026] An electricity consumption determination module, configured to determine the target electricity consumption of the device to be operated based on the predicted available electricity and the reserved electricity consumption;

[0027] An operation adjustment module, configured to adjust the operation state of the device to be operated according to the target electricity consumption.

[0028] In a third aspect, the present application further provides a computer device, including a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps of the method in any embodiment of the first aspect are implemented.

[0029] Fourthly, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method in any of the embodiments of the first aspect are implemented.

[0030] Fifthly, the present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the method in any of the embodiments of the first aspect are implemented.

[0031] The above-mentioned low-carbon optimized operation and carbon reduction assessment method, device, computer device, computer-readable storage medium and computer program product for energy-consuming equipment first obtain the predicted available power of the target area and the reserved power consumption of the equipment to be operated, and then determine the target power consumption of the equipment to be operated based on the predicted available power and the reserved power consumption. Finally, according to the target power consumption, the operation state of the equipment to be operated is adjusted. Among them, the predicted available power is obtained based on the power consumption data of the operating equipment in the target area. In this method, obtaining the reserved power consumption of the equipment to be operated is equivalent to obtaining the subjective operation demand of the user for the equipment to be operated; obtaining the predicted available power based on the power consumption data of the operating equipment in the target area is equivalent to obtaining the objective available power of the equipment to be operated. Then, the process of determining the target power consumption of the equipment to be operated according to the predicted available power and the reserved power consumption of the equipment to be operated is equivalent to comprehensively considering the subjective operation demand of the user for the equipment to be operated and the objective operation standard of the current operating equipment for the equipment to be operated, so that the target power consumption of the equipment to be operated not only meets the user's needs but also satisfies the actual operation standard. Then, based on the target power consumption, the adjusted operation state of the equipment to be operated can naturally meet the user's needs and the actual operation standard at the same time, thereby greatly improving the rationality of the operation state of the equipment to be operated. Description of the Drawings

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required to be used in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0033] Figure 1 It is an application environment diagram of the low-carbon optimized operation and carbon reduction assessment method for energy-consuming equipment in one embodiment;

[0034] Figure 2 It is a schematic flowchart of the low-carbon optimized operation and carbon reduction assessment method for energy-consuming equipment in one embodiment;

[0035] Figure 3Schematic flow chart of the steps for obtaining predicted available power in one embodiment;

[0036] Figure 4 Schematic flow chart of the steps for obtaining predicted available power in another embodiment;

[0037] Figure 5 Schematic flow chart of the steps for obtaining predicted power consumption in one embodiment;

[0038] Figure 6 Schematic flow chart of the steps for obtaining target power consumption in one embodiment;

[0039] Figure 7 Schematic flow chart of the low-carbon optimization operation and carbon reduction assessment method for energy-consuming equipment in another embodiment;

[0040] Figure 8 Block diagram of the structure of the low-carbon optimization operation and carbon reduction assessment device for energy-consuming equipment in one embodiment;

[0041] Figure 9 Internal structure diagram of a computer device in one embodiment. Detailed implementation manners

[0042] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0043] The low-carbon optimization operation and carbon reduction assessment method for energy-consuming equipment provided by the embodiments of the present application can be applied to an application environment as shown in Figure 1 In the figure. Among them, the power system 102 includes operating equipment and equipment to be operated. The power system 102 is communicatively connected to the server 104. The server 104 obtains the power consumption data of the operating equipment and the power consumption reservation amount of the equipment to be operated from the power system 102, and adjusts the operating state of the equipment to be operated in a future time period according to the power consumption data and the power consumption reservation amount of the operating equipment. Among them, the equipment to be operated 106 in the power system 102 is an energy-consuming equipment whose operating time and / or operating mode can be adjusted, and can be, but is not limited to, an intelligent air conditioner, an intelligent washing machine, an intelligent TV, an intelligent speaker, etc. The server 104 can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0044] As the issue of climate change becomes increasingly prominent, it has brought unprecedented challenges to all walks of life around the world.

[0045] Among them, the energy efficiency level of electrical equipment is directly related to power consumption and carbon emissions. As one of the main sources of energy consumption and carbon emissions, the power generation and utilization methods thereof play a crucial role in addressing climate change and promoting sustainable development. In this context, improving the energy efficiency standards of electrical equipment and promoting energy-saving electrical equipment are of great significance for reducing power consumption and carbon emissions.

[0046] Meanwhile, with the rapid development of technology, existing energy-consuming equipment is becoming more and more intelligent and low-carbon. In this technical context, intelligent home appliance systems have emerged, aiming to provide an efficient and environmentally friendly energy management solution for target areas, such as specific communities like residential areas, science and technology parks, and school campuses.

[0047] Taking intelligent home appliances as an example, in related technologies, it is usually dependent on user needs to schedule the running time and running mode of intelligent home appliance devices, etc., to instruct the intelligent home appliance devices to run according to the scheduled running content, providing a comfortable and convenient living environment for users.

[0048] However, in related technologies, when setting the operation mode of equipment, it is usually from the subjective perspective of users, ignoring the operation conditions of other home appliance devices in the area where the home appliance device is located, and thus unable to ensure that there is sufficient available power in the area where the home appliance device is located for the home appliance device to run, resulting in a relatively low rationality of the existing equipment operation mode.

[0049] Based on this, the embodiments of the present application provide a low-carbon optimization operation and carbon reduction assessment method for energy-consuming equipment, which comprehensively considers the predicted available power in the target area and the reserved power consumption of the equipment to be run, determines the actual power consumption of the equipment to be run in the target area, and adjusts the operation state of the equipment to be run based on the actual power consumption, improving the rationality of the operation state.

[0050] It should be noted that the beneficial effects or technical problems solved by the embodiments of the present application are not limited to this one, and there may also be other implicit or related problems. For details, please refer to the descriptions of the following embodiments.

[0051] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0052] In an exemplary embodiment, as Figure 2 shown, a low-carbon optimization operation and carbon reduction assessment method for energy-consuming equipment is provided. Taking the application of this method to a server as an example for illustration, it includes the following steps:

[0053] S201. Obtain the predicted available power of the target area and the reserved power consumption of the devices to be operated. The predicted available power is obtained based on the power consumption data of the operating devices in the target area.

[0054] Herein, the target area refers to an area including multiple electrical devices, which can be a community, a building, a household residence, etc.

[0055] In practical applications, the target area usually includes multiple electrical devices. Common electrical devices include, but are not limited to, refrigerators, air conditioners, washing machines, elevators, lighting fixtures, etc.

[0056] In the embodiments of the present application, the operating devices are the electrical devices that are currently operating in the target area, and the devices to be operated are the electrical devices that are not currently operating in the target area and are reserved (required to operate) by the user at a future time.

[0057] It should be emphasized that the devices to be operated are intelligent electrical devices whose operating status (operating time and / or operating mode) is controllable. This means that a control instruction carrying operation indication information can be sent to the intelligent electrical device to instruct the intelligent electrical device to work according to the operation indication information. There can be one or more devices to be operated in the embodiments of the present application.

[0058] During the device operation management process, the reserved power consumption of each device to be operated in the target area and the power consumption data of the operating devices in the target area can be read from the power database. Then, based on the power consumption data, the power consumption of the operating devices in the target area in a future period of time can be predicted, and based on the power consumption, the remaining power in the target area except for the operating devices in a future period of time, that is, the predicted available power, can be determined.

[0059] S202. Determine the target power consumption of the devices to be operated based on the predicted available power and the reserved power consumption.

[0060] The predicted available power is obtained based on the power consumption data of the operating devices during actual operation and can be used as the maximum available power of the devices to be operated; while the reserved power consumption is set for the devices to be operated based on the subjective actual needs of the user and can be used as the reference power consumption of the devices to be operated.

[0061] Based on this, in order to take into account both the user's needs and the actual available power of the target area, the predicted available power and the reserved power can be compared, and the smaller power consumption of the two can be determined as the target power consumption of the devices to be operated.

[0062] Exemplarily, if the predicted available power is less than the reserved power consumption, the predicted available power is determined as the target power consumption of the devices to be operated; if the predicted available power is greater than the reserved power consumption, the reserved power consumption is determined as the target power consumption of the devices to be operated.

[0063] In another scenario, the first weight for predicting the available power consumption and the second weight for the reserved power consumption can also be determined according to a preset weight ratio value, and the weighted sum of the predicted available power consumption and the reserved power consumption is used as the target power consumption of the device to be operated. Here, the sum of the first weight and the second weight is a fixed value, such as 1.

[0064] Exemplarily, if the preset weight ratio value is 0.8 and the sum of the first weight and the second weight is 1, then the first weight for predicting the available power consumption is 0.8, and the second weight for the reserved power consumption is 0.2 (1 - 0.8), and the target power consumption = 0.8 × predicted available power consumption + 0.2 × reserved power consumption.

[0065] S203. Adjust the operating state of the device to be operated according to the target power consumption.

[0066] Among them, the operating state includes information such as the initial operating moment, the aborting moment, and the operating mode.

[0067] According to the target power consumption, determine the matching relationship between the target power consumption and the device to be operated, determine the adjustment strategy for the device to be operated, and based on this adjustment strategy, adjust the operating state of the device to be operated.

[0068] When there is one device to be operated, if the reserved power consumption of the device to be operated is less than the target power consumption, then keep the operating state of the device to be operated unchanged; if the reserved power consumption of the device to be operated is greater than the target power consumption, then obtain the rated operating power consumption of the device to be operated, determine the ratio of the target power consumption to the rated operating power consumption as the operating time of the device to be operated, and control the device to be operated to operate according to the operating time.

[0069] When there are multiple devices to be operated, sort the devices to be operated in ascending order of the reserved power consumption, and determine multiple target devices to be operated and candidate devices to be operated according to the principle that the sum of the reserved power consumptions of the multiple devices to be operated is less than or equal to the target power consumption. Then keep the operating states of the multiple target devices to be operated unchanged, and the operating state of the candidate devices to be operated is stopped.

[0070] In the embodiments of the present application, first, the predicted available power of the target area and the reserved power consumption of the devices to be operated are obtained. Then, based on the predicted available power and the reserved power consumption, the target power consumption of the devices to be operated is determined. Finally, according to the target power consumption, the operating state of the devices to be operated is adjusted. Among them, the predicted available power is obtained based on the power consumption data of the operating devices in the target area. In this method, obtaining the reserved power consumption of the devices to be operated is equivalent to obtaining the subjective operating requirements of the user for the devices to be operated; obtaining the predicted available power based on the power consumption data of the operating devices in the target area is equivalent to obtaining the objective available power of the devices to be operated. Then, the process of determining the target power consumption of the devices to be operated according to the predicted available power and the reserved power consumption of the devices to be operated is equivalent to comprehensively considering the subjective operating requirements of the user for the devices to be operated and the objective operating standards of the current operating devices for the devices to be operated, so that the target power consumption of the devices to be operated not only meets the user's needs but also satisfies the actual operating standards. Then, based on the target power consumption, the adjusted operating state of the devices to be operated can naturally meet the user's needs and the actual operating standards at the same time, thereby improving the rationality of the operating state of the devices to be operated.

[0071] As can be seen from the foregoing embodiments, the target power consumption is determined based on the predicted available power and the reserved power consumption. Naturally, the accuracy of the predicted available power and the reserved power consumption is positively correlated with the accuracy of the target power consumption. Based on this, the specific implementation methods for obtaining the predicted available power and the reserved power consumption are described below.

[0072] It should be noted that the following steps for obtaining the predicted available power and the embodiments for obtaining the reserved power consumption are two parallel embodiments, which can be executed simultaneously in practical applications. Of course, they can also be executed in the order of actual requirements. The present application does not limit the specific execution order here.

[0073] Next, a feasible implementation method for the predicted available power is described. As Figure 3 shown, obtaining the predicted available power of the target area includes:

[0074] S301, obtaining the power generation data of the target area and the power consumption data of the operating devices in the target area.

[0075] Obtain the power generation data tables of multiple areas from the power supply network. The power generation data tables include the power generation data of multiple areas. Then, according to the area identifier of the target area, determine the power generation data of the target area from the power generation data tables.

[0076] Read the power consumption data of each operating device in the target area from the power consumption network. The power consumption data includes historical power consumption data and current power consumption data.

[0077] S302. Obtain the predicted available power of the target area according to the power generation data and power consumption data.

[0078] It should be noted that to ensure the normal power consumption of the target area, the power generation data is greater than the power consumption data.

[0079] In the case where the operating equipment will not operate at a future moment, the difference between the power generation data and the power consumption data can be directly determined as the predicted available power of the target area.

[0080] In the case where the operating equipment will continue to operate at a future moment, the predicted power consumption of the operating equipment at the future moment can be predicted according to the power consumption data, and the difference between the power generation data and the predicted power consumption can be determined as the predicted available power of the target area.

[0081] In the embodiments of the present application, according to the power consumption data of the operating equipment in the target area, the power consumption law of the operating equipment is obtained, and then the power consumption of the operating equipment within a future period of time is determined. Combining with the power generation data of the target area, a more real and objective predicted available power of the target area is determined.

[0082] In an exemplary embodiment, a further description is made of the implementation manner of "obtaining the predicted available power of the target area according to the power generation data and the power consumption data" in the foregoing S302, as Figure 4 shown, including:

[0083] S401. Input the power consumption data into a preset power consumption prediction model, analyze the power consumption data through the power consumption prediction model, and obtain the predicted power consumption of the target area.

[0084] Among them, the power consumption prediction model is a deep learning model pre-trained according to a data set. This data set includes the historical power consumption data and actual power consumption data of the equipment to be operated. The training process of the power consumption prediction model is as follows: obtain multiple groups of power consumption equipment data and an initial power consumption prediction model. Each group of power consumption equipment data includes the historical power consumption and actual power consumption of the power consumption equipment. The model parameters in the initial power consumption prediction model are initialization parameters. Then, input the historical power consumption of each power consumption equipment into the initial power consumption prediction model to output the training power consumption. Then, calculate the loss between the training power consumption and the actual power consumption, and optimize the model parameters in the initial power consumption prediction model. Loop through the above steps until the training conditions are met, such as the loss value is less than a preset loss threshold, to obtain the power consumption prediction model.

[0085] In this embodiment, the input of the power consumption prediction model is the power consumption data, and the output is the predicted power consumption. The prediction time of the predicted power consumption matches the reserved operation time of the equipment to be operated, and can be one hour, one day, one week, one month, etc. in the future.

[0086] S402. Calculate the difference between the power generation data and the predicted power consumption to obtain the predicted available power in the target area.

[0087] Taking the power generation data as E s and the predicted power consumption as E d as an example, the expression for the predicted available power E p is:

[0088] E p = E s - E d

[0089] In the embodiments of the present application, the power consumption data is analyzed through a power consumption prediction model to obtain the predicted power consumption in the target area, and the difference between the power generation data and the predicted power consumption is determined as the predicted available power in the target area. In this method, the power consumption prediction model is pre-trained according to the historical power consumption data and actual power consumption data of the device to be operated, which can improve the prediction efficiency of the target power consumption while ensuring the accuracy of the target power consumption, and further improve the accuracy and acquisition speed of the predicted available power.

[0090] Next, an implementable manner of the reserved power consumption will be described. As Figure 5 shown, the process of obtaining the reserved power consumption of the device to be operated includes:

[0091] S501. In response to the reserved operation instruction of the device to be operated, obtain the reserved operation duration and reserved operation mode of the device to be operated.

[0092] The reserved operation instruction carries the identification of the reserved operation start time, reserved operation abort time, and operation mode, and the above reserved operation start time, reserved operation abort time, and operation mode can be remotely and flexibly determined by the user's requirements for the device to be processed.

[0093] In response to the reserved operation instruction, determine the reserved operation model of the device to be operated according to the identification of the operation model, and determine the reserved operation duration based on the reserved operation start time and reserved operation abort time.

[0094] S502. Obtain the reserved power consumption of the device to be operated according to the reserved operation duration and reserved operation mode.

[0095] When the operation time remains unchanged, different operation modes consume different amounts of power. Based on this, first determine the rated power consumption matching the reserved operation mode, and then use the product of the rated power consumption and the reserved operation duration as the reserved power consumption of the device to be operated.

[0096] In an embodiment of the present application, in response to the scheduled operation instruction of the equipment to be operated, the scheduled operation time and the scheduled operation mode of the equipment to be operated are obtained, and based on the scheduled operation time and the scheduled operation mode, the scheduled power consumption of the equipment to be operated is obtained. This acquisition method most truly reflects the user's reservation needs for the equipment to be operated, and the scheduled power consumption determined in this way is naturally true and accurate.

[0097] The predicted available power and scheduled power consumption reflect the power requirements of the equipment to be processed from the objective and subjective dimensions respectively. Based on this, it is necessary to further analyze the predicted available power and scheduled power consumption to determine the target power consumption of the equipment to be operated in the future.

[0098] In an exemplary embodiment, Figure 6 As shown, based on the predicted available power and the scheduled power consumption, the target power consumption of the equipment to be operated is determined, including:

[0099] S601: If the predicted available power is less than the scheduled power, the target power of the equipment to be operated is determined according to the predicted available power.

[0100] The closer the user's scheduled power consumption for the equipment to be operated is to the predicted available power prepared for the equipment to be operated in the target area, the more reasonable the reservation method set by the user is and the more efficient the power utilization is.

[0101] If the predicted available power is less than the reserved power, it means that the user's reserved power for the equipment to be operated is too high and the power system cannot provide enough power to meet the user's reserved demand. At this time, it is necessary to redetermine the target power consumption of the equipment to be operated based on the predicted available power.

[0102] Optionally, the predicted available power is used as the target power consumption of the equipment to be operated to fully utilize the available power of the power system.

[0103] S602: If the predicted available power is greater than the reserved power consumption, the target power consumption of the equipment to be operated is determined according to the reserved power consumption.

[0104] If the predicted available power is less than the reserved power consumption, it means that there is enough available power in the power system for the equipment to be operated. In this case, the reserved power consumption can be kept unchanged and the reserved power consumption can be determined as the target power consumption of the equipment to be operated to meet the user's reservation needs.

[0105] Furthermore, the reserved power consumption can be increased as much as possible without exceeding the predicted available power consumption, for example, the predicted available power consumption, or the average of the predicted available power consumption and the reserved power consumption, can be determined as the target power consumption of the equipment to be operated to improve the user experience.

[0106] In the embodiments of the present application, the target power consumption is determined by comparing the predicted available power with the reserved power consumption. Specifically, when the predicted available power is less than the reserved power consumption, the target power consumption of the device to be operated is determined according to the predicted available power; when the predicted available power is greater than the reserved power consumption, the target power consumption of the device to be operated is determined according to the reserved power consumption. The target power consumption determined in this way does not exceed the predicted available power while maximizing the reservation requirements of the user for the device to be operated.

[0107] In an exemplary embodiment, the low-carbon optimized operation and carbon reduction assessment method for energy-consuming devices further includes:

[0108] When the predicted available power is greater than the reserved power consumption, obtain the remaining power between the predicted available power and the reserved power consumption, and store the remaining power.

[0109] When the predicted available power is greater than the reserved power consumption, it means that there is enough available power in the power system for the device to be operated. In this case, the reserved power consumption can be kept unchanged, and the difference between the predicted available power and the reserved power consumption is used as the remaining power. Since the remaining power is based on the power generation data, excluding the power consumption data of the operating devices, the predicted power consumption of the operating devices, and the reserved power consumption of the device to be operated, the remaining power can be stored to prevent power loss.

[0110] Among them, the power caching method can be battery energy storage, pumped-storage energy storage, hydrogen energy storage, supercapacitor energy storage, etc. The embodiments of the present application do not limit this.

[0111] Furthermore, release the stored remaining power during subsequent peak power consumption periods to relieve the power grid pressure and improve the stability of power supply.

[0112] In the embodiments of the present application, when the predicted available power is greater than the reserved power consumption, store the remaining power between the predicted available power and the reserved power consumption to prevent power loss, relieve the power grid pressure, and improve the stability of power supply.

[0113] In an exemplary embodiment, as Figure 7 shown, a low-carbon optimized operation and carbon reduction assessment method for energy-consuming devices is provided, including:

[0114] S701, in response to the reservation operation instruction of the device to be operated, obtain the reservation operation duration and reservation operation mode of the device to be operated.

[0115] S702, obtain the reserved power consumption of the device to be operated according to the reservation operation duration and reservation operation mode.

[0116] S703. Obtain the power generation data of the target area and the power consumption data of the operating equipment in the target area.

[0117] S704. Input the power consumption data into a preset power consumption prediction model, analyze the power consumption data through the power consumption prediction model, and obtain the predicted power consumption of the target area.

[0118] S705. Calculate the difference between the power generation data and the predicted power consumption to obtain the predicted available power of the target area.

[0119] S706. In the case where the predicted available power is less than the reserved power consumption, determine the predicted available power as the target power consumption of the equipment to be operated.

[0120] S707. Adjust the operating state of the equipment to be operated according to the target power consumption.

[0121] In the embodiments of the present application, obtaining the reserved power consumption of the equipment to be operated is equivalent to obtaining the subjective operating requirements of the user for the equipment to be operated; obtaining the predicted available power based on the power consumption data of the operating equipment in the target area is equivalent to obtaining the objective available power of the equipment to be operated. Then, the process of determining the target power consumption of the equipment to be operated according to the predicted available power and the reserved power consumption of the equipment to be operated is equivalent to comprehensively considering the subjective operating requirements of the user for the equipment to be operated and the objective operating standards of the current operating equipment for the equipment to be operated, so that the target power consumption of the equipment to be operated not only meets the user's requirements but also satisfies the actual operating standards. Therefore, based on the target power consumption, the adjusted operating state of the equipment to be operated can naturally meet the user's requirements and the actual operating standards at the same time, thereby improving the operating state of the equipment to be operated.

[0122] In an exemplary embodiment, a low-carbon optimized operation and carbon reduction assessment method for energy-consuming equipment is further provided, including:

[0123] (1) In response to the reserved operation instruction of the equipment to be operated, obtain the reserved operation duration and reserved operation mode of the equipment to be operated.

[0124] (2) Obtain the reserved power consumption of the equipment to be operated according to the reserved operation duration and reserved operation mode.

[0125] (3) Obtain the power generation data of the target area and the power consumption data of the operating equipment in the target area.

[0126] (4) Input the power consumption data into a preset power consumption prediction model, analyze the power consumption data through the power consumption prediction model, and obtain the predicted power consumption of the target area.

[0127] (5) Calculate the difference between the power generation data and the predicted power consumption to obtain the predicted available power of the target area.

[0128] (6) In the case where the predicted available power is greater than the reserved power consumption, determine the reserved power consumption as the target power consumption of the device to be operated.

[0129] (7) Obtain the remaining power between the predicted available power and the reserved power consumption, and store the remaining power.

[0130] (8) Adjust the operating state of the device to be operated according to the target power consumption.

[0131] In the embodiments of the present application, obtaining the reserved power consumption of the device to be operated is equivalent to obtaining the user's subjective operating demand for the device to be operated; obtaining the predicted available power based on the power consumption data of the operating devices in the target area is equivalent to obtaining the objective available power of the device to be operated. Then, the process of determining the target power consumption of the device to be operated based on the predicted available power and the reserved power consumption of the device to be operated is equivalent to comprehensively considering the user's subjective operating demand for the device to be operated and the objective operating standard of the device to be operated based on the power consumption data of the current operating devices, so that the target power consumption of the device to be operated not only meets the user's needs but also satisfies the actual operating standard. Then, based on the target power consumption, the adjusted operating state of the device to be operated can naturally meet the user's needs and the actual operating standard at the same time, thereby improving the operating state of the device to be operated.

[0132] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are displayed in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0133] Based on the same inventive concept, the embodiments of the present application also provide a low-carbon optimization operation and carbon reduction evaluation device for energy-consuming devices for implementing the above-mentioned low-carbon optimization operation and carbon reduction evaluation method for energy-consuming devices. The implementation solutions provided by this device to solve problems are similar to the implementation solutions described in the above method. Therefore, the specific limitations in one or more embodiments of the low-carbon optimization operation and carbon reduction evaluation device for energy-consuming devices provided below can refer to the limitations on the low-carbon optimization operation and carbon reduction evaluation method for energy-consuming devices in the above text, and will not be repeated here.

[0134] In an exemplary embodiment, asFigure 8 As shown in Figure 8 , a low-carbon optimized operation and carbon reduction assessment device for energy-consuming devices is provided, including: an electricity quantity acquisition module 801, an electricity quantity determination module 802, and an operation adjustment module 803, where:

[0135] The electricity quantity acquisition module 801 is configured to acquire the predicted available electricity quantity of the target area and the reserved electricity consumption of the devices to be operated; the predicted available electricity quantity is obtained based on the electricity consumption data of the operating devices in the target area;

[0136] The electricity quantity determination module 802 is configured to determine the target electricity consumption of the devices to be operated based on the predicted available electricity quantity and the reserved electricity consumption;

[0137] The operation adjustment module 803 is configured to adjust the operation state of the devices to be operated according to the target electricity consumption.

[0138] In an exemplary embodiment, the electricity quantity acquisition module 801 includes: a data acquisition unit and an electricity quantity prediction unit, where:

[0139] The data acquisition unit is configured to acquire the power generation data of the target area and the electricity consumption data of the operating devices in the target area;

[0140] The electricity quantity prediction unit is configured to acquire the predicted available electricity quantity of the target area according to the power generation data and the electricity consumption data.

[0141] In an exemplary embodiment, the electricity quantity prediction unit includes: a data analysis subunit and an electricity quantity calculation subunit, where:

[0142] The data analysis subunit is configured to input the electricity consumption data into a preset electricity quantity prediction model, analyze the electricity consumption data through the electricity quantity prediction model, and obtain the predicted electricity consumption of the target area;

[0143] The electricity quantity calculation subunit is configured to calculate the difference between the power generation data and the predicted electricity consumption to obtain the predicted available electricity quantity of the target area.

[0144] In an exemplary embodiment, the electricity quantity acquisition module 801 includes: a reservation response unit and an electricity quantity reservation unit, where:

[0145] The reservation response unit is configured to, in response to a reservation operation instruction of the devices to be operated, acquire the reserved operation duration and the reserved operation mode of the devices to be operated;

[0146] The electricity quantity reservation unit is configured to obtain the reserved electricity consumption of the devices to be operated according to the reserved operation duration and the reserved operation mode.

[0147] In an exemplary embodiment, the electricity quantity determination module 802 includes: a first determination unit and a second determination unit, where:

[0148] A first determination unit, configured to determine the target power consumption of the device to be operated according to the predicted available power when the predicted available power is less than the reserved power consumption.

[0149] A second determination unit, configured to determine the target power consumption of the device to be operated according to the reserved power consumption when the predicted available power is greater than the reserved power consumption.

[0150] In an exemplary embodiment, the low-carbon optimized operation and carbon reduction assessment device for energy-consuming devices further includes: a power storage module, configured to obtain the remaining power of the predicted available power and the reserved power consumption and store the remaining power when the predicted available power is greater than the reserved power consumption.

[0151] Each module in the above-mentioned low-carbon optimized operation and carbon reduction assessment device for energy-consuming devices can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0152] In an exemplary embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 9 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the low-carbon optimized operation and carbon reduction assessment data for energy-consuming devices. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements a low-carbon optimized operation and carbon reduction assessment method for energy-consuming devices.

[0153] Those skilled in the art can understand that Figure 9 the structure shown in

[0154] In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0155] Obtain the predicted available power of the target area and the reserved power consumption of the device to be run; the predicted available power is obtained based on the power consumption data of the operating devices in the target area;

[0156] Based on the predicted available power and the reserved power consumption, determine the target power consumption of the device to be run;

[0157] Adjust the operating state of the device to be run according to the target power consumption.

[0158] In an exemplary embodiment, when the processor executes the computer program, the following steps are further implemented:

[0159] Obtain the power generation data of the target area and the power consumption data of the operating devices in the target area;

[0160] Obtain the predicted available power of the target area according to the power generation data and the power consumption data.

[0161] In an exemplary embodiment, when the processor executes the computer program, the following steps are further implemented:

[0162] Input the power consumption data into a preset power prediction model, and analyze the power consumption data through the power prediction model to obtain the predicted power consumption of the target area;

[0163] Calculate the difference between the power generation data and the predicted power consumption to obtain the predicted available power of the target area.

[0164] In an exemplary embodiment, when the processor executes the computer program, the following steps are further implemented:

[0165] In response to the reserved operation instruction of the device to be run, obtain the reserved operation duration and the reserved operation mode of the device to be run;

[0166] Obtain the reserved power consumption of the device to be run according to the reserved operation duration and the reserved operation mode.

[0167] In an exemplary embodiment, when the processor executes the computer program, the following steps are further implemented:

[0168] If the predicted available power is less than the reserved power consumption, determine the target power consumption of the device to be run according to the predicted available power;

[0169] If the predicted available power is greater than the reserved power consumption, determine the target power consumption of the device to be run according to the reserved power consumption.

[0170] In an exemplary embodiment, when the processor executes the computer program, the following steps are further implemented:

[0171] When the predicted available power is greater than the reserved power consumption, obtain the remaining power between the predicted available power and the reserved power consumption, and store the remaining power.

[0172] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0173] Obtain the predicted available power of the target area and the reserved power consumption of the device to be run; the predicted available power is obtained based on the power consumption data of the running devices in the target area;

[0174] Based on the predicted available power and the reserved power consumption, determine the target power consumption of the device to be run.

[0175] Adjust the running state of the device to be run according to the target power consumption.

[0176] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0177] Obtain the power generation data of the target area and the power consumption data of the running devices in the target area;

[0178] Obtain the predicted available power of the target area according to the power generation data and the power consumption data.

[0179] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0180] Input the power consumption data into a preset power prediction model, and analyze the power consumption data through the power prediction model to obtain the predicted power consumption of the target area;

[0181] Calculate the difference between the power generation data and the predicted power consumption to obtain the predicted available power of the target area.

[0182] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0183] In response to the reserved running instruction of the device to be run, obtain the reserved running duration and the reserved running mode of the device to be run;

[0184] Obtain the reserved power consumption of the device to be run according to the reserved running duration and the reserved running mode.

[0185] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0186] If the predicted available power is less than the reserved power consumption, determine the target power consumption of the device to be operated according to the predicted available power;

[0187] If the predicted available power is greater than the reserved power consumption, determine the target power consumption of the device to be operated according to the reserved power consumption.

[0188] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0189] In the case where the predicted available power is greater than the reserved power consumption, obtain the remaining power between the predicted available power and the reserved power consumption, and store the remaining power.

[0190] In an exemplary embodiment, a computer program product is provided, including a computer program, which when executed by a processor implements the following steps:

[0191] Obtain the predicted available power of the target area and the reserved power consumption of the device to be operated; the predicted available power is obtained according to the power consumption data of the operating devices in the target area;

[0192] Based on the predicted available power and the reserved power consumption, determine the target power consumption of the device to be operated;

[0193] Adjust the operating state of the device to be operated according to the target power consumption.

[0194] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0195] Obtain the power generation data of the target area and the power consumption data of the operating devices in the target area;

[0196] According to the power generation data and the power consumption data, obtain the predicted available power of the target area.

[0197] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0198] Input the power consumption data into a preset power prediction model, and analyze the power consumption data through the power prediction model to obtain the predicted power consumption of the target area;

[0199] Calculate the difference between the power generation data and the predicted power consumption to obtain the predicted available power of the target area.

[0200] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0201] In response to the reserved operation instruction of the device to be operated, obtain the reserved operation duration and the reserved operation mode of the device to be operated;

[0202] Obtain the reserved power consumption of the device to be operated according to the reserved operation duration and the reserved operation mode.

[0203] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0204] If the predicted available power is less than the reserved power consumption, determine the target power consumption of the device to be operated according to the predicted available power;

[0205] If the predicted available power is greater than the reserved power consumption, determine the target power consumption of the device to be operated according to the reserved power consumption.

[0206] In an exemplary embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0207] In the case where the predicted available power is greater than the reserved power consumption, obtain the remaining power between the predicted available power and the reserved power consumption, and store the remaining power.

[0208] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0209] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0210] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope recorded in the present application.

[0211] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A low-carbon optimization operation and carbon reduction assessment method for energy-consuming equipment, characterized in that: The method comprises: Obtain the predicted available power in the target area and the scheduled power consumption of the equipment to be operated; the predicted available power is obtained based on the power consumption data of the operating equipment in the target area; the operating equipment is the power consumption equipment currently in operation in the target area, and the equipment to be operated is the power consumption equipment in the target area that is not currently in operation and is scheduled by the user at a future time and needs to be operated; According to a preset weight ratio value, determine a first weight of the predicted available power and a second weight of the scheduled power consumption, and determine the target power consumption of the equipment to be operated by taking the weighted sum of the predicted available power and the scheduled power consumption; According to the target power consumption, the operating state of the device to be operated is adjusted; the operating state includes the operating time and the operating mode; In the case where there are multiple devices to be operated, the devices to be operated are sorted in descending order according to the reserved power consumption of each device to be operated, and based on the fact that the sum of the reserved power consumption of the multiple devices to be operated is less than or equal to the target power consumption, multiple target devices to be operated and candidate devices to be operated are determined, and the operating states of the multiple target devices to be operated are kept unchanged, and the operating state of the candidate devices to be operated is stopped.

2. The method according to claim 1, characterized in that The obtaining of the predicted available power of the target area includes: Acquiring power generation data of the target area and power consumption data of running equipment in the target area; The predicted available power amount of the target area is obtained according to the power generation data and the power consumption data.

3. The method according to claim 2, characterized in that The obtaining, according to the power generation data and the power consumption data, predicted available power of the target area includes: Inputting the power consumption data into a preset power consumption prediction model, analyzing the power consumption data through the power consumption prediction model, and obtaining the predicted power consumption of the target area; The difference between the power generation data and the predicted power consumption is calculated to obtain the predicted available power in the target area.

4. The method according to any one of claims 1 to 3, characterized in that: The process of obtaining the reserved power consumption of the equipment to be operated includes: In response to the scheduled operation instruction of the device to be operated, obtaining the scheduled operation time and the scheduled operation mode of the device to be operated; The scheduled power consumption of the equipment to be operated is obtained according to the scheduled operation time and the scheduled operation mode.

5. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: If the predicted available power is less than the scheduled power, determining the target power of the equipment to be operated according to the predicted available power; If the predicted available power is greater than the reserved power consumption, the target power consumption of the equipment to be operated is determined according to the reserved power consumption.

6. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: When the predicted available power is greater than the reserved power consumption, the remaining power between the predicted available power and the reserved power consumption is obtained, and the remaining power is stored.

7. A low-carbon optimization operation and carbon reduction assessment device for energy-consuming equipment, characterized in that: The device comprises: The power acquisition module is used to acquire the predicted available power in the target area and the scheduled power consumption of the equipment to be operated; the predicted available power is obtained based on the power consumption data of the operating equipment in the target area; the operating equipment is the power consumption equipment currently in operation in the target area, and the equipment to be operated is the power consumption equipment in the target area that is not currently in operation and is scheduled by the user at a future time and needs to be operated; An electricity determination module, configured to determine a first weight of the predicted available electricity and a second weight of the scheduled electricity consumption according to a preset weight ratio value, and determine a target electricity consumption of the equipment to be operated by taking a weighted sum of the predicted available electricity and the scheduled electricity consumption; An operation adjustment module, used to adjust the operation state of the device to be operated according to the target power consumption; the operation state includes the operation time and the operation mode; In the case where there are multiple devices to be operated, the devices to be operated are sorted in descending order according to the reserved power consumption of each device to be operated, and based on the fact that the sum of the reserved power consumption of the multiple devices to be operated is less than or equal to the target power consumption, multiple target devices to be operated and candidate devices to be operated are determined, and the operating states of the multiple target devices to be operated are kept unchanged, and the operating state of the candidate devices to be operated is stopped.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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