Control method and device based on power internet of things, electronic equipment and storage medium

Abstract

The invention provides a management and control method and device based on an electric power internet of things, electronic equipment and a storage medium, and relates to the field of electric power management. According to the method, a sensing layer obtains collected multi-source power data, wherein the multi-source power data comprises power monitoring data, environment monitoring data, power use data and a platform operation state; the sensing layer analyzes the electric power use data, and performs electric power planning according to the electric power monitoring data, the environment monitoring data and the electric power use data under the condition that the power consumption of the electric power use data is smaller than a preset electric power threshold value to obtain an initial electric power plan; the sensing layer transmits the initial power plan to the platform layer through the network layer, and the platform layer adjusts the initial power plan according to a platform operation state to obtain a target power plan; and the platform layer sends the target power plan to the application layer, and the application layer schedules the target power plan. According to the invention, power utilization can be reasonably planned, and the use efficiency of energy is improved.

Description

Technical Field

[0001] The present application relates to the field of power management technology, and specifically to a management and control method, device, electronic device and storage medium based on power Internet of Things. Background Art

[0002] Electricity is an energy source that uses electrical energy as a driving force. In today's Internet era, there is a continuously growing demand for electricity, which plays an important role in school teaching and life. For example, classroom lighting, projectors, experimental equipment, etc. provide a good teaching environment for students and teachers. School energy management is often decentralized, and each department and classroom will purchase and use electrical equipment relatively independently, lacking overall planning and coordination. The power Internet of Things achieves comprehensive perception of the entire power ecosystem and comprehensive monitoring of school electricity consumption by widely deploying multiple sensing nodes at the terminal sensing layer. However, for these relatively decentralized electricity uses, there is a lack of overall planning and coordination, resulting in low energy efficiency. Summary of the invention

[0003] The present application provides a management and control method, device, electronic device and storage medium based on the power Internet of Things, which can reasonably plan electricity consumption and improve energy utilization efficiency.

[0004] The technical solution of the embodiment of the present application is as follows: In a first aspect, an embodiment of the present application provides a management and control method based on the power Internet of Things, which is applied to an experimental service platform. The experimental service platform includes an application layer, a platform layer, a network layer, and a perception layer. The method includes: The perception layer acquires collected multi-source power data, wherein the multi-source power data includes power monitoring data, environmental monitoring data, power usage data and platform operation status; The perception layer analyzes the power usage data, and when the power consumption of the power usage data is less than a preset power threshold, performs power planning according to the power monitoring data, the environmental monitoring data and the power usage data to obtain an initial power planning; The perception layer transmits the initial power plan to the platform layer through the network layer, and the platform layer adjusts the initial power plan according to the platform operation status to obtain the target power plan; The platform layer sends the target power planning to the application layer, and the application layer schedules the target power planning.

[0005] In the above technical scheme, first, the perception layer obtains the collected multi-source power data, which includes power monitoring data, environmental monitoring data, power usage data and platform operation status. By obtaining more comprehensive monitoring data, the overall grasp of decentralized power consumption is achieved; the perception layer analyzes the power usage data, and when the power consumption of the power usage data is less than the preset power threshold, power planning is carried out according to the power monitoring data, environmental monitoring data and power usage data to obtain an initial power planning. In the case of safe power use, a power planning is first carried out to avoid long-distance transmission and realize on-site processing; the perception layer transmits the initial power planning to the platform layer through the network layer, and the platform layer adjusts the initial power planning according to the platform operation status to obtain the target power planning. Through cloud processing, the overall grasp is achieved, and power resources can be fully utilized. Power is planned again to improve energy efficiency; the platform layer sends the target power planning to the application layer, and the application layer schedules the target power planning. Through the above power planning and scheduling, resources can be fully utilized.

[0006] In some embodiments of the present application, the environmental monitoring data includes environmental temperature and environmental humidity; the power usage data includes information flow, power value and voltage value of each terminal device; the power monitoring data includes photographed pictures, which are obtained by photographing people around the terminal device and the working status of the terminal device; The performing power planning according to the power monitoring data, the environment monitoring data and the power usage data to obtain an initial power planning includes: Parsing the captured image to obtain personnel information and working status information, wherein the personnel information indicates whether there are personnel around the terminal device, and the working status information indicates whether the terminal device is turned on; When the personnel information indicates that there is no person around the terminal device, and the working status information indicates that the terminal device is turned on, judging the ambient temperature and the ambient humidity; When the ambient temperature is lower than a preset temperature threshold and the ambient humidity is lower than a preset humidity threshold, planning is performed according to the information flow, the power value and the voltage value corresponding to each of the terminal devices to obtain the initial power planning.

[0007] In the above technical solution, data analysis is performed on the ambient temperature and humidity, the information flow of each terminal device, the power value and voltage value, and the captured pictures to ensure that power planning is carried out under the condition of power safety, and the initial power planning is obtained. Power planning is carried out first to avoid long-distance transmission and realize on-site processing.

[0008] In some embodiments of the present application, the information flow includes the usage status, power requirement, and voltage requirement of each terminal device; The planning according to the information flow, the power value and the voltage value corresponding to each of the terminal devices to obtain the initial power planning includes: According to the usage status of each of the terminal devices, determining whether the used terminal devices continue to be used within a preset period of time, and whether the unused terminal devices are turned on and used within the preset period of time; In the case of continued use, obtaining a first power requirement value and a first voltage requirement value according to the power requirement and the voltage requirement of the terminal device that continues to be used; When the unused terminal device is turned on, obtaining a second power requirement value and a second voltage requirement value according to the power requirement and the voltage requirement of the turned-on terminal device; When the first power demand value and the second power demand value both satisfy the corresponding power values, and the first voltage demand value and the second voltage demand value both satisfy the corresponding voltage values, the corresponding first power demand value and the first voltage demand value are allocated to the terminal device that continues to be used, and the corresponding second power demand value and the second voltage demand value are allocated to the terminal device that is turned on for use, to obtain the initial power planning, wherein the terminal device that continues to be used and the terminal device that is turned on for use are obtained by predicting preset historical usage records.

[0009] In the above technical solution, by determining the terminal devices in use and the terminal devices not in use and then performing power planning, it is beneficial to improve the utilization rate of resources.

[0010] In some embodiments of the present application, the platform operation state includes multiple scene states; The platform layer adjusts the initial power planning according to the platform operation state to obtain a target power planning, including: Control the platform layer to analyze the scene status to obtain business information; The initial power plan is adjusted according to the business information to obtain the target power plan.

[0011] In the above technical solution, the business information is obtained by analyzing the scene status, and the initial power planning is adjusted according to the business information to better meet the electricity demand and improve the energy utilization efficiency.

[0012] In some embodiments of the present application, the adjusting the initial power plan according to the business information to obtain the target power plan includes: Obtain the historical power consumption of each scenario in different historical time periods; Performing power forecasting based on the historical power consumption to obtain predicted power consumption; adjusting the service information based on the predicted power consumption to obtain the power to be used; The initial power plan is adjusted according to the amount of power to be used to obtain the target power plan.

[0013] In the above technical solution, by using historical electricity consumption to predict electricity consumption, adjusting business information, and obtaining the electricity to be used, the electricity to be used is suitable for the scenario status, and then adjusting the initial power plan to obtain the target power plan, thereby achieving overall control of the entire Internet of Things electricity and improving resource utilization.

[0014] In some embodiments of the present application, the application layer schedules the target power planning, including: The application layer displays the target power plan, and in response to a selection operation on the target power plan, schedules the target power plan.

[0015] In the above technical solution, the target power planning is scheduled to achieve management and scheduling of the entire power system according to the requests of various terminal devices and clients.

[0016] In some embodiments of the present application, the network layer is a plurality of network standards, and the plurality of network standards include at least one of a wireless communication network, a low power wide area network, a wired communication network, and a mobile cellular network.

[0017] In the above technical solution, information is transmitted according to different network standards, and communication in multiple network standards can be achieved through one Internet of Things, so that data in different network standards can be shared.

[0018] In a second aspect, an embodiment of the present application provides a management and control device based on the power Internet of Things, the device comprising: Applied to an experimental service platform, the experimental service platform includes an application layer, a platform layer, a network layer and a perception layer, and the device includes: A data acquisition module, used for the perception layer to acquire multi-source power data, the multi-source power data includes power monitoring data, environmental monitoring data, power usage data and platform operation status; A first planning module is used for the perception layer to analyze the power usage data, and when the power consumption of the power usage data is less than a preset power threshold, to perform power planning according to the power monitoring data, the environmental monitoring data and the power usage data to obtain an initial power planning; A second planning module is used for the perception layer to transmit the initial power planning to the platform layer through the network layer, and the platform layer adjusts the initial power planning according to the platform operation status to obtain the target power planning; The scheduling module is used for the platform layer to send the target power planning to the application layer, and the application layer schedules the target power planning.

[0019] In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor, a memory, a user interface and a network interface, wherein the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any one of the methods provided in the first aspect above.

[0020] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any one of the methods provided in the first aspect is executed.

[0021] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The technology adopts the method of obtaining all-round data of power monitoring data, environmental monitoring data, power usage data and platform operation status, analyzing the data, obtaining the initial power planning, and then fully clouding, adjusting the initial power planning at the platform layer, obtaining the target power planning, and scheduling the target power planning at the application layer. Therefore, the problem of low energy efficiency caused by the lack of overall planning and coordination in related technologies is effectively solved. By obtaining more comprehensive monitoring data, achieving an overall grasp of decentralized power consumption, and then conducting multi-layer power planning, it can not only achieve on-site processing, but also achieve overall planning and adjustment, and improve resource utilization efficiency.

[0022] 2. Analyzing electricity consumption in historical time periods can increase the accuracy of power planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a control method based on the power Internet of Things provided by an embodiment of the present application; Figure 2 This is a schematic diagram of the structure of a control device based on the power Internet of Things provided by an embodiment of the present application; Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0025] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0026] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0027] The embodiment of the present application provides a control method, device, electronic device and storage medium based on the power Internet of Things. The control method based on the power Internet of Things firstly acquires the collected multi-source power data at the perception layer, and the multi-source power data includes power monitoring data, environmental monitoring data, power usage data and platform operation status. By acquiring relatively comprehensive monitoring data, the overall grasp of decentralized power consumption is achieved; the perception layer analyzes the power usage data, and when the power consumption of the power usage data is less than the preset power threshold, the power planning is performed according to the power monitoring data, the environmental monitoring data and the power usage data to obtain the initial power planning. In the case of safe power use, a power planning is performed first to avoid long-distance transmission and realize local processing; the perception layer transmits the initial power planning to the platform layer through the network layer, and the platform layer adjusts the initial power planning according to the platform operation status to obtain the target power planning. Through cloud processing, the overall grasp is achieved, the power resources can be fully utilized, the power is planned again, and the energy utilization efficiency is improved; the platform layer sends the target power planning to the application layer, and the application layer schedules the target power planning. Through the above power planning and scheduling, the resources can be fully utilized. Compared with the related technologies which lack overall planning and coordination, resulting in low energy utilization efficiency, the embodiments of the present application obtain more comprehensive monitoring data to achieve an overall grasp of decentralized electricity consumption, and then conduct multi-layer power planning, which can not only realize on-site processing, but also realize overall planning and adjustment, thereby improving resource utilization efficiency.

[0028] It should be noted that the management and control method based on the power Internet of Things is applied to the experimental service platform, which can be set up in the school, and can monitor the electrical equipment in the entire school area to achieve an overall grasp of decentralized electricity consumption.

[0029] The technical solution provided in the embodiments of the present application is further described below in conjunction with the accompanying drawings.

[0030] Reference Figure 1 , Figure 1 It is a flow chart of the control method based on the electric power Internet of Things provided in the embodiment of the present application. The control method based on the electric power Internet of Things is applied to an experimental service platform, which includes an application layer, a platform layer, a network layer and a perception layer. The control method based on the electric power Internet of Things is executed by a processor in an electronic device or a readable storage medium. The control method based on the electric power Internet of Things includes step S100, step S200, step S300 and step S400.

[0031] Step S100, the perception layer obtains the collected multi-source power data, and the multi-source power data includes power monitoring data, environmental monitoring data, power usage data and platform operation status.

[0032] In one embodiment, the multi-source power data includes power monitoring data, environmental monitoring data, power usage data and platform operation status. The power monitoring data includes pictures obtained by shooting the surrounding personnel of the terminal device and the working status of the terminal device. The pictures can be taken by a video image sensor, or an infrared sensor can be used to shoot the working start state of the terminal device. The environmental monitoring data includes the ambient temperature and ambient humidity. The ambient temperature is detected by a temperature sensor, and the ambient humidity is detected by a humidity sensor. The power usage data includes the power usage and the power value and voltage value of each terminal device. The power usage indicates whether the terminal device is in use. For example, the switch of a terminal device is turned on, but the device is not used, resulting in a waste of resources. The power usage data of each dispersed terminal is collected by a collector or a three-phase meter; the power value and voltage value are the rated power value and rated voltage value. When the power value and voltage value are exceeded, safety hazards may occur, which are detected by a smart meter or a smart device. The platform operation status represents each device that provides power, such as each charging pile terminal device. By obtaining the multi-source power data collected by the perception layer, it is possible to fully grasp the dispersed terminal devices and provide data support for the reasonable planning of subsequent power.

[0033] In step S200, the perception layer analyzes the power usage data, and when the power consumption of the power usage data is less than a preset power threshold, power planning is performed based on the power monitoring data, environmental monitoring data and power usage data to obtain an initial power plan.

[0034] In one embodiment, the preset power threshold is the rated power consumption, and the power consumption of the power usage data is the total power consumption of each terminal device. The power usage data is analyzed to first determine whether the power consumption of the power usage data exceeds the preset power threshold. When the power consumption of the power usage data is less than the preset power threshold, it is proved that each terminal device can be in a safe power usage state. Then, power planning is performed based on the power monitoring data, environmental monitoring data and power usage data to obtain an initial power plan, which can realize on-site power processing and avoid power delays.

[0035] In one embodiment, the environmental monitoring data includes the environmental temperature and humidity; the power usage data includes the information flow, total power value and total voltage value of each terminal device; and the power monitoring data includes captured pictures. Power planning is performed based on the power monitoring data, environmental monitoring data and power usage data to obtain an initial power planning. First, the captured pictures are parsed to obtain personnel information and working status information, wherein the personnel information indicates whether there are personnel around the terminal device, and the working status information indicates whether the terminal device is turned on.

[0036] In one embodiment, since in a school scenario, personnel are prohibited from approaching large power supply equipment to avoid danger, it is necessary to extract personnel information. It is also necessary to determine whether the terminal device is turned on to ensure the safety of electricity use. First, the captured image is parsed, and a preset deep learning algorithm can be used to extract personnel features and working status features of the terminal device. Based on the personnel features, whether there are personnel around the terminal device, the personnel information is obtained, and based on the working status features, it is determined whether the terminal device is turned on, and the working status information is obtained. The personnel information and working status information are obtained to provide a basis for subsequent initial safety judgments.

[0037] In one embodiment, when the personnel information indicates that there are no personnel around the terminal device, and the working status information indicates that the terminal device is turned on, it indicates that the terminal device can be operated safely and can be deployed normally. It is determined again that the surrounding environment of the terminal device can ensure normal and safe operation, so the ambient temperature and ambient humidity are judged. When the ambient temperature is less than the preset temperature threshold and the ambient humidity is less than the preset humidity threshold, it indicates that the ambient temperature and ambient humidity are within a reasonable range, and safe power planning can be performed for each terminal device, and then the initial power planning is obtained according to the information flow, total power value and total voltage value corresponding to each terminal device. When safety can be guaranteed, the data of each terminal device is analyzed and processed on the spot. It should be noted that the preset temperature threshold is the ambient temperature value at which the terminal device can operate safely, and the preset humidity threshold is the ambient humidity value at which the terminal device can operate safely. When the ambient temperature is greater than or equal to the preset temperature threshold, or when the ambient humidity is greater than or equal to the preset humidity threshold, any one of the ambient temperature and ambient humidity exceeds the threshold, and an alarm message is generated to prompt the danger of electricity use and strengthen prevention.

[0038] In one embodiment, the information flow includes the use status, power demand and voltage demand of the terminal device. The use status refers to whether the terminal device is to be used or is in use. The power and voltage of each terminal device may be different when working. The power demand and voltage demand are the power and voltage required to meet the work of each terminal device. Planning is performed according to the information flow, power value and voltage value corresponding to each terminal device to obtain the initial power planning. First, according to the use status of each terminal device, it is determined whether the terminal device in use continues to be used for a preset period of time, and whether the terminal device that is not in use is turned on and used for the preset period of time.

[0039] In some possible embodiments of the present application, the usage status of each terminal device is recorded, for example, terminal device 1 is in use, terminal device 2 is turned on but not in use, and terminal device 3 is not turned on. Predictions are made based on the recorded historical usage records, and based on the usage status of each terminal device, it is determined whether the used terminal device continues to be used for a preset period of time, and whether the unused terminal device is turned on and used for a preset period of time. Among them, the preset period of time is the subsequent one-month period corresponding to the current time month according to the records of the previous year or the records of the previous two years. The specific judgment method is: for example, the electricity usage records of various areas of the school, such as the school library will increase the electricity consumption when the exam is approaching, and the cafeteria will reduce the electricity consumption during the holidays. According to the historical usage records, it is determined that some areas should increase the use of terminal devices, and some areas should reduce the use of terminal devices. Therefore, according to the usage status and historical status, it is determined whether the used terminal devices continue to be used for a preset period of time, so as to carry out reasonable planning of electricity in the future and improve resource utilization.

[0040] In some possible embodiments of the present application, when the terminal device continues to be used, it is indicated that power needs to be provided, and power is allocated to the terminal device. According to the power demand and voltage demand of the terminal device that continues to be used, a first power demand value and a first voltage demand value are obtained, so that the corresponding power can be subsequently allocated according to the needs of each terminal device to achieve reasonable power planning.

[0041] In some possible embodiments of the present application, when an unused terminal device is turned on, it is represented as, according to the usage status, the terminal device is in a non-turned on state, that is, it is not used, and the turned-on terminal device is turned on and used, and a second power demand value and a second voltage demand value are obtained according to the power demand and voltage demand of the terminal device that is turned on and used; so that the corresponding power can be subsequently allocated according to the demand of each terminal device that is turned on and used, so as to achieve reasonable power planning.

[0042] In some possible embodiments of the present application, when the first power demand value is less than or equal to the power value, the second power demand value is less than or equal to the power value, and the first voltage demand value is less than or equal to the voltage value, and the second voltage demand value is less than or equal to the voltage value, that is, the first power demand value and the second power demand value both meet the power value, and the first voltage demand value and the second voltage demand value also meet the voltage value, it can be started normally and safely, and the corresponding first power demand value and first voltage demand value are allocated to the terminal equipment that continues to be used, and the corresponding second power demand value and second voltage demand value are allocated to the terminal equipment that is turned on and used, and the initial power planning is obtained. The data collected by the perception layer is mined and analyzed, and can be processed on-site to achieve flexible and rapid deployment of distribution network services.

[0043] In some other possible embodiments of the present application, when the power consumption of the power usage data is greater than or equal to a preset power threshold, it indicates that some terminal devices may be in an abnormal usage state, and an alarm message is generated to prompt the staff to conduct a safety check on the line to ensure that the power consumption of each terminal device is planned under safe operation to improve resource utilization efficiency.

[0044] In some other possible embodiments of the present application, when the first power requirement value is greater than the power value, or the second power requirement value is greater than the power value, or the first voltage requirement value is greater than the voltage value, or the second voltage requirement value is greater than the voltage value, that is, either the first power requirement value or the second power requirement value does not meet the power value, or either the first voltage requirement value and the second voltage requirement value does not meet the voltage value, an alarm message will be generated to remind the staff that the terminal device that does not meet the power value or voltage value is abnormal. This ensures that the power consumption of each terminal device is planned under safe operation to improve resource utilization efficiency.

[0045] In step S300, the perception layer transmits the initial power plan to the platform layer through the network layer. The platform layer adjusts the initial power plan according to the platform operation status to obtain the target power plan.

[0046] In one embodiment, according to the initial power planning obtained in step S200, the initial power planning is transmitted to the platform layer through the network layer, the initial power planning can be transmitted from the perception layer to the platform layer through network communication, and data transmission can be achieved through a network protocol. At the platform layer, a corresponding receiving end and interface are set to enable it to receive and parse the initial power planning data transmitted from the network layer. Decoding and processing are performed based on the received data to obtain information about the initial power planning.

[0047] In one embodiment, the network layer is a plurality of network standards, and the plurality of network standards include at least one of a wireless communication network, a low-power wide area network, a wired communication network, and a mobile cellular network. The Internet of Things has a plurality of network standards, and the above network standards can be selected and replaced, that is, the above Internet of Things pre-sets a multi-network fusion base station with a communication protocol of a plurality of network standards. According to the needs of the user, any of the network standards can be selected for the interaction of the Internet of Things, and there is no need to change the existing network environment. For example, the user's own network standard is Bluetooth. When the user needs to use Wifi, it is necessary to rebuild the Wifi network environment to realize the use of Wifi. However, if the Internet of Things shown in the present application is adopted, since the Internet of Things itself has multiple network standards, there is no need to rebuild the Wifi network environment. It is only necessary to select the network standard of Wifi for use. The specific opening method can be to insert the Wifi communication module into the reserved card slot position, or to start it by the opening button. Among them, the plurality of network standards at least include a short-range wireless communication network, a low-power wide area network, a wired communication network, and a mobile cellular network. For example, mobile communications, Bluetooth, RFID, ZigBee, lora and Wifi, mobile communications include at least the fourth generation of mobile communications 4G and the fifth generation of mobile communications 5G. Through the Internet of Things with the above-mentioned multiple network standards, the types of sensing terminals and client types that can be accessed by the Internet of Things are diverse, so that communications with multiple network standards can be achieved through one Internet of Things, and data of different network standards can be shared.

[0048] In one embodiment, the platform operation state includes multiple scenario states. The platform layer adjusts the initial power plan according to the platform operation state to obtain the target power plan. First, the platform layer is controlled to parse the scenario state to obtain business information.

[0049] In some possible embodiments of the present application, the core part of the platform layer Internet of Things platform, on the basis of a network, enables the Internet of Things to complete unified operation and maintenance, unified management, eliminate information islands, and support the flexible use of data by various applications through this product, so as to uniformly operate and manage the perception terminal, client, Internet of Things perception data, data analysis results, and data transmission requests, so as to realize the transmission of Internet of Things perception data of Internet of Things with different network standards. Among them, the platform layer can be implemented by a server or a cloud server. The platform layer saves the monitoring data and data collection of the platform operation status within a preset historical period, and can also obtain the real-time status information of multiple scenarios of the platform, and the real-time status information includes the platform's load situation, power supply status, energy consumption and other data. The control platform layer parses the scene status to obtain business information, which is conducive to the subsequent adjustment of the initial power planning according to the business information.

[0050] In some possible embodiments of the present application, the initial power plan is adjusted according to the business information to obtain the target power plan. The initial power plan is adjusted by using relevant algorithms and adjustment strategies. It can be dynamically adjusted according to the real-time load conditions to avoid load overload or underload; it can also be optimized by considering energy consumption efficiency and renewable energy utilization. The optimized and adjusted power distribution plan can meet the reliable power supply needs of the platform and take into account energy efficiency and renewable energy utilization.

[0051] In one embodiment, the initial power planning is adjusted according to the business information to obtain the target power planning. The historical power consumption of each scenario state in different historical time periods is first obtained. The different historical time periods refer to the various time periods in the previous three months, the previous two months, or the previous month. The stored historical power consumption data is read through a preset reading interface, which is conducive to the subsequent prediction of the historical power consumption and obtaining the predicted power consumption of the subsequent time period corresponding to the current time period, so as to adjust the power planning. Among them, the preset reading interface can be a read() function.

[0052] In some possible embodiments of the present application, electricity consumption is predicted based on historical electricity consumption to obtain predicted electricity consumption. Specifically, historical electricity consumption is used as input data and input into a preset deep learning model. The deep learning model is used to predict the historical electricity consumption to obtain predicted electricity consumption, which is conducive to obtaining the electricity to be used based on the predicted electricity consumption. Among them, the deep learning model can be a long-short term memory network, a bidirectional long-short term memory network, or other networks that process time series data, which will not be described here.

[0053] In some possible embodiments of the present application, the business information is adjusted according to the predicted power consumption to obtain the power to be used, specifically, the predicted power consumption obtained above is compared with the power consumption of the same period in the previous year or the previous two years. For example, the predicted power consumption is compared with the actual power consumption of the same period in the previous year. The error between the predicted power consumption and the actual power consumption in the previous year is within the preset error range, and the predicted power consumption is directly used to adjust the business information. For another example, the power consumption near the end of the period in the library is large, and the error between the predicted power consumption and the actual power consumption in the previous year is not within the preset error range. The actual power consumption in the previous year is large, and the predicted power consumption is small. Then, the actual power consumption in the previous year is used as the power consumption to be predicted, and then the predicted power consumption is used to adjust the business information to obtain the power to be used. Among them, the business information includes power generation, transmission, distribution, energy scheduling, load management, electricity bill settlement, etc., to ensure the reliability, safety and economy of the power system. According to the predicted power consumption, the power generation equipment is reasonably adjusted to save energy.

[0054] In some possible embodiments of the present application, the initial power planning is adjusted according to the amount of electricity to be used to obtain the target power planning. Specifically, the initial power planning for network layer transmission is adjusted according to the amount of electricity to be used obtained above. Since the initial power planning is allocated according to the power demand value and voltage demand value of each terminal device, it is planned again according to the business information and the electricity usage of each area to meet the demand for large electricity consumption or avoid electricity waste when the electricity consumption is small.

[0055] Step S400: the platform layer sends the target power plan to the application layer, and the application layer schedules the target power plan.

[0056] In one embodiment, the application layer is used to send the target power planning data to the application layer through network communication based on the platform layer, and network protocols (such as HTTP, TCP / IP, etc.) can be used to transmit data. The application layer includes several clients with different functions, and the above-mentioned clients are used to issue data transmission requests with different functions to obtain IoT perception data corresponding to the data transmission request, and the application layer schedules the target power planning. The application layer displays the target power planning, and the experimenter or power controller can select different scheduling methods. In response to the selection operation of the target power planning, the target power planning is scheduled to realize the management and scheduling of the entire power system.

[0057] like Figure 2 As shown, the embodiment of the present application provides a control device 100 based on the power Internet of Things, which is applied to the experimental service platform. The experimental service platform includes an application layer, a platform layer, a network layer and a perception layer. The control device 100 based on the power Internet of Things uses a data acquisition module 110 for the perception layer to acquire the collected multi-source power data. The multi-source power data includes power monitoring data, environmental monitoring data, power usage data and platform operation status. By acquiring more comprehensive monitoring data, an overall grasp of decentralized power consumption is achieved; the first planning module 120 is used for the perception layer to analyze the power usage data. When the power consumption of the power usage data is less than a preset power threshold, the power usage data is analyzed according to the power monitoring data, the environmental monitoring data and the platform operation status. The measurement data and power usage data are used for power planning to obtain an initial power planning. Under the condition of safe power use, a power planning is first carried out to avoid long-distance transmission and realize on-site processing. The second planning module 130 is used for the perception layer to transmit the initial power planning to the platform layer through the network layer. The platform layer adjusts the initial power planning according to the platform operation status to obtain the target power planning. Through cloud processing, the overall situation is grasped, and power resources can be fully utilized. Power can be planned again to improve energy efficiency. The scheduling module 140 is used for the platform layer to send the target power planning to the application layer. The application layer schedules the target power planning. Through the above-mentioned power planning and scheduling, resources can be fully utilized.

[0058] It should be noted that the data acquisition module 110 is connected to the first planning module 120, the first planning module 120 is connected to the second planning module 130, and the second planning module 130 is connected to the scheduling module 140. The above-mentioned control method based on the power Internet of Things is applied to the control device 100 based on the power Internet of Things. The control device 100 based on the power Internet of Things obtains more comprehensive monitoring data to achieve an overall grasp of decentralized power consumption, and then performs multi-layer power planning, which can not only achieve on-site processing, but also achieve overall planning and adjustment, thereby improving resource utilization efficiency.

[0059] It should also be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0060] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 500 may include: at least one processor 501 , at least one network interface 504 , a user interface 503 , a memory 505 , and at least one communication bus 502 .

[0061] The communication bus 502 is used to realize the connection and communication between these components.

[0062] The user interface 503 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 503 may also include a standard wired interface and a wireless interface.

[0063] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0064] Among them, the processor 501 may include one or more processing cores. The processor 501 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 505, and calling data stored in the memory 505. Optionally, the processor 501 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 501 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 501, and it can be implemented separately through a chip.

[0065] Among them, the memory 505 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 505 includes a non-transitory computer-readable storage medium. The memory 505 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 505 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 505 may also be optionally at least one storage device located away from the aforementioned processor 501. Refer to Figure 3 , the memory 505 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program based on a management and control method of the power Internet of Things.

[0066] exist Figure 3In the electronic device 500 shown, the user interface 503 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 501 can be used to call the memory 505 to store an application program for a control method based on the power Internet of Things. When executed by one or more processors 501, the electronic device 500 executes one or more methods in the above-mentioned embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0067] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0068] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0069] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0070] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0071] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0072] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0073] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A management and control method based on power Internet of Things, characterized in that: Applied to an experimental service platform, the experimental service platform includes an application layer, a platform layer, a network layer and a perception layer, and the method includes: The perception layer acquires collected multi-source power data, wherein the multi-source power data includes power monitoring data, environmental monitoring data, power usage data and platform operation status; The perception layer analyzes the power usage data, and when the power consumption of the power usage data is less than a preset power threshold, performs power planning according to the power monitoring data, the environmental monitoring data and the power usage data to obtain an initial power planning; The perception layer transmits the initial power plan to the platform layer through the network layer, and the platform layer adjusts the initial power plan according to the platform operation status to obtain the target power plan; The platform layer sends the target power planning to the application layer, and the application layer schedules the target power planning.

2. The method according to claim 1, characterized in that The environmental monitoring data includes the environmental temperature and the environmental humidity; the power usage data includes the information flow, power value and voltage value of each terminal device; the power monitoring data includes photographed pictures, which are obtained by photographing the people around the terminal device and the working status of the terminal device; The performing power planning according to the power monitoring data, the environment monitoring data and the power usage data to obtain an initial power planning includes: Parsing the captured image to obtain personnel information and working status information, wherein the personnel information indicates whether there are personnel around the terminal device, and the working status information indicates whether the terminal device is turned on; When the personnel information indicates that there is no person around the terminal device, and the working status information indicates that the terminal device is turned on, judging the ambient temperature and the ambient humidity; When the ambient temperature is lower than a preset temperature threshold and the ambient humidity is lower than a preset humidity threshold, planning is performed according to the information flow, the power value and the voltage value corresponding to each of the terminal devices to obtain the initial power planning.

3. The method according to claim 2, characterized in that The information flow includes the usage status, power requirements and voltage requirements of each terminal device; The planning according to the information flow, the power value and the voltage value corresponding to each of the terminal devices to obtain the initial power planning includes: According to the usage status of each of the terminal devices, determining whether the used terminal devices continue to be used within a preset period of time, and whether the unused terminal devices are turned on and used within the preset period of time; In the case of continued use, obtaining a first power requirement value and a first voltage requirement value according to the power requirement and the voltage requirement of the terminal device that continues to be used; When the unused terminal device is turned on, obtaining a second power requirement value and a second voltage requirement value according to the power requirement and the voltage requirement of the turned-on terminal device; When the first power demand value and the second power demand value both satisfy the corresponding power values, and the first voltage demand value and the second voltage demand value both satisfy the corresponding voltage values, the corresponding first power demand value and the first voltage demand value are allocated to the terminal device that continues to be used, and the corresponding second power demand value and the second voltage demand value are allocated to the terminal device that is turned on for use, to obtain the initial power planning, wherein the terminal device that continues to be used and the terminal device that is turned on for use are obtained by predicting preset historical usage records.

4. The method according to claim 1, characterized in that The platform operation state includes multiple scene states; The platform layer adjusts the initial power planning according to the platform operation state to obtain a target power planning, including: Control the platform layer to analyze the scene status to obtain business information; The initial power plan is adjusted according to the business information to obtain the target power plan.

5. The method according to claim 4, characterized in that The adjusting the initial power planning according to the business information to obtain the target power planning includes: Obtain the historical power consumption of each scenario in different historical time periods; Performing power forecasting based on the historical power consumption to obtain predicted power consumption; adjusting the service information based on the predicted power consumption to obtain the power to be used; The initial power plan is adjusted according to the amount of power to be used to obtain the target power plan.

6. The method according to claim 1, characterized in that The application layer schedules the target power planning, including: The application layer displays the target power plan, and in response to a selection operation on the target power plan, schedules the target power plan.

7. The method according to claim 1, characterized in that The network layer is a plurality of network standards, and the plurality of network standards include at least one of a wireless communication network, a low power wide area network, a wired communication network and a mobile cellular network.

8. A control device based on the power Internet of Things, characterized in that: Applied to an experimental service platform, the experimental service platform includes an application layer, a platform layer, a network layer and a perception layer, and the device includes: A data acquisition module (110), configured for the perception layer to acquire collected multi-source power data, wherein the multi-source power data includes power monitoring data, environment monitoring data, power usage data and platform operation status; A first planning module (120) is used for the perception layer to analyze the power usage data, and when the power consumption of the power usage data is less than a preset power threshold, to perform power planning based on the power monitoring data, the environmental monitoring data and the power usage data to obtain an initial power planning; A second planning module (130), configured for the perception layer to transmit the initial power planning to the platform layer through the network layer, and the platform layer to adjust the initial power planning according to the platform operation status to obtain a target power planning; A scheduling module (140) is used for the platform layer to send the target power planning to the application layer, and the application layer schedules the target power planning.

9. An electronic device, characterized in that: The electronic device (500) comprises a processor (501), a memory (505), a user interface (503), a communication bus (502) and a network interface (504), wherein the processor (501), the memory (505), the user interface (503) and the network interface (504) are respectively connected to the communication bus (502), the memory (505) is used to store instructions, the user interface (503) and the network interface (504) are used to communicate with other devices, and the processor (501) is used to execute the instructions stored in the memory (505) so that the electronic device (500) executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is performed.

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