Energy storage control method and system based on artificial intelligence and storage medium

Abstract

The invention discloses an artificial intelligence-based energy storage control method, an energy storage control system and a storage medium, and is applied to the energy storage control system, the energy storage control system comprises an energy storage device and a detection device, and the detection device is used for detecting position information and speed information of each scene object in a current scene. The method comprises the following steps: inputting continuous multi-frame position information and speed information of each scene object to a preset artificial intelligence model to carry out human-in-the-life detection so as to output a human-in-the-life detection result, the human-in-the-life detection result comprising human information in each scene object; and the working condition of the energy storage equipment is controlled based on the human-in-person detection result. The working condition of the energy storage equipment can be controlled in real time, waste of electric energy is avoided, and the energy utilization rate of the energy storage equipment is increased.

Description

Technical Field

[0001] The present application relates to the field of energy management, and in particular to an energy storage control method, an energy storage control system and a computer-readable storage medium based on artificial intelligence. Background Art

[0002] With the rapid development of science and technology and industrial production, the demand for electric energy is constantly increasing, and energy storage equipment is gradually entering people's lives. Energy storage equipment can store energy when there is excess energy, release energy when energy demand peaks, balance energy supply and demand, and enhance the stability and reliability of the power system.

[0003] At present, related energy storage control methods have problems of power waste and low energy utilization. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes an energy storage control method based on artificial intelligence, an energy storage control system and a computer-readable storage medium, which can realize real-time control of the working conditions of the energy storage device, avoid waste of electric energy, and improve the energy utilization rate of the energy storage device.

[0005] In a first aspect, the present application provides an energy storage control method based on artificial intelligence, which is applied to an energy storage control system, wherein the energy storage control system includes an energy storage device and a detection device, wherein the detection device is used to detect position information and speed information of each scene object in the current scene; the method includes:

[0006] Inputting multiple frames of position information and speed information of each of the scene objects into a preset artificial intelligence model for human presence detection to output a human presence detection result, wherein the human presence detection result includes information of the person in each of the scene objects;

[0007] Based on the detection result of the person, the working condition of the energy storage device is controlled.

[0008] In a second aspect, the present application provides an energy storage control system, comprising:

[0009] Energy storage equipment;

[0010] A detection device, the detection device is used to detect position information and speed information of each scene object in the current scene;

[0011] A control device, the control device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method of energy storage control based on artificial intelligence when executing the program.

[0012] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned artificial intelligence-based energy storage control method.

[0013] The artificial intelligence-based energy storage control method, energy storage control system, and computer-readable storage medium provided in the embodiments of the present application collect position information and speed information of multiple consecutive frames of each scene object in the current scene through a detection device, input the information collected by the detection device into a preset artificial intelligence model for human detection, analyze and determine the presence of the target object, and can accurately obtain the presence of the human body in the current scene. The working state of the energy storage device is controlled according to the presence of the human body in the current scene, and the working condition of the energy storage device can be controlled in real time, thereby avoiding waste of electric energy and improving the energy utilization rate of the energy storage device.

[0014] Additional aspects and advantages of the embodiments of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0016] Figure 1 This is an application scenario diagram of the energy storage control method based on artificial intelligence provided in the embodiment of the present application;

[0017] Figure 2 It is a first flow chart of an energy storage control method based on artificial intelligence provided in an embodiment of the present application;

[0018] Figure 3 It is a second flow chart of the energy storage control method based on artificial intelligence provided in an embodiment of the present application;

[0019] Figure 4 is a third flow chart of the energy storage control method based on artificial intelligence provided in an embodiment of the present application;

[0020] Figure 5 4 is a schematic diagram of a fourth process of an energy storage control method based on artificial intelligence provided in an embodiment of the present application;

[0021] Figure 6 It is a fifth flow chart of the energy storage control method based on artificial intelligence provided in the embodiment of the present application;

[0022] Figure 7 It is a sixth flow chart of the energy storage control method based on artificial intelligence provided in an embodiment of the present application;

[0023] Figure 8 7 is a schematic diagram of a seventh flow chart of an energy storage control method based on artificial intelligence provided in an embodiment of the present application;

[0024] Fig. 9 It is an eighth flow chart of the energy storage control method based on artificial intelligence provided in the embodiment of the present application;

[0025] Fig.10 is a ninth flow chart of an energy storage control method based on artificial intelligence provided in an embodiment of the present application;

[0026] Fig.11 It is a module schematic diagram of an energy storage control device based on artificial intelligence provided in an embodiment of the present application;

[0027] Fig.12 It is a structural schematic diagram of a control device of an energy storage control system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0029] See also Figure 1 , an embodiment of the present application provides an energy storage control system 1000, the energy storage control system 1000 includes a detection device 100, a control device 200 and an energy storage device 300, which are described in detail below.

[0030] The detection device 100 includes a human detection module 10 and a controller 20 .

[0031] The human detection module 10 includes an antenna component 11, a transmitting component 12, a receiving component 13 and a signal processing component 14. The transmitting component 12 is used to send a signal through the antenna component 11, the receiving component 13 is used to receive a signal reflected by each scene object through the antenna component 11, and the signal processing component 14 is used to process the signal reflected by each scene object to output the position information and speed information of each scene object.

[0032] The controller 20 is connected to the human detection module 10. The controller 200 or the signal processing component 14 is used to perform human detection based on multiple consecutive frames of position information and speed information of each scene object to obtain a human detection result, which includes whether there is a human body in each scene object.

[0033] The scene object is an object or a human body whose position information and speed information need to be detected. Optionally, there may be no human body or one or more human bodies in the scene object.

[0034] Among them, human detection refers to the process of detecting human bodies in the detection scene.

[0035] The human detection module 10 is used to detect the position information and speed information of each scene object.

[0036] The antenna assembly 11 is used to send out transmission signals and receive signals reflected by various scene objects;

[0037] The transmitting component 12 is used to generate and amplify the transmitting signal, and then provide it to the antenna component 11 for transmission;

[0038] The receiving component 13 is used to amplify and filter the signals reflected by each scene object received by the antenna component 11;

[0039] The signal processing component 14 is used to perform algorithm processing such as demodulation on the signals reflected by each scene object processed by the receiving component 13, thereby obtaining the position information and speed information of each scene object, and further performing human presence detection to obtain human presence detection results. The human presence detection results include whether there is a human body in each scene object.

[0040] Optionally, the human presence detection module 10 may be a millimeter wave radar.

[0041] Specifically, the process of the millimeter wave radar detecting the position information and speed information of each scene object is as follows:

[0042] The antenna assembly 11 of the millimeter wave radar is capable of transmitting and receiving electromagnetic waves using a phased array antenna, a technology that does not require physical movement of the antenna but electronically controls the direction of the beam;

[0043] The transmitting component 12 of the millimeter wave radar can generate and amplify the millimeter wave transmitting signal through the internal radio frequency generator, power amplifier, phase-locked loop, etc., and then transmit the millimeter wave transmitting signal to the antenna component 11 for transmission;

[0044] The receiving component 13 of the millimeter wave radar amplifies and filters the signals reflected by each scene object received by the antenna component 11 through the internal low noise amplifier, mixer, filter, etc., and then transmits the signals reflected by each scene object after amplification and filtering to the signal processing component 14;

[0045] The signal processing component 14 of the millimeter wave radar performs algorithm processing such as demodulation on the signals reflected by each scene object processed by the receiving component 13 through an internal digital signal processor, a microcontroller, etc., thereby obtaining the position information and speed information of each scene object, and further performs human detection to obtain a human detection result. The human detection result includes whether there is a human body in each scene object.

[0046] Millimeter-wave radar also includes other auxiliary parts, such as a power control component that controls the operating power of the millimeter wave, a clock synchronization component that keeps the time between the various components of the millimeter-wave radar consistent, and a temperature compensation component that is used to reduce or eliminate the impact of temperature changes on the performance of the millimeter-wave radar.

[0047] The controller is used to process the position information and speed information of each scene object to obtain the human detection result.

[0048] Optionally, the controller 20 may be a single chip microcomputer (Microcontroller Unit, MCU for short).

[0049] Specifically, the MCU is connected to the human presence detection module 10, and can receive multiple frames of position information and speed information of each scene object transmitted by the human presence detection module 10, and perform human presence detection based on this information, and finally obtain the human presence detection result. The MCU can upload the human presence detection result to the control device 200, and the control device 200 can adjust the corresponding energy strategy accordingly.

[0050] For example, the MCU processes the position and speed information of each scene object for multiple consecutive frames to obtain the contour information of each scene object, and judges the scene object with human-shaped contour information as a human body, and judges the scene object with non-human-shaped contour information as not a human body. In this way, in the case of a home scene, it can quickly determine whether there is a human body in the home scene.

[0051] For another example, the MCU processes the position information and speed information of multiple consecutive frames of each scene object, and can determine whether each scene object is in motion, and determine the scene object in motion as a moving object. The moving object may be a human body or a pet, etc. In the case of a home scene, the moving object has a certain energy demand. The MCU can upload the human detection result to the control device 200, and the control device 200 can adjust the corresponding energy strategy according to the human detection result.

[0052] The detection device 100 provided in the embodiment of the present application can protect privacy while accurately identifying each scene object in any scene by detecting the position information and speed information of each scene object in the detection module 10 through a person; the information detected by the person in the detection module 10 is processed by the controller 20 or the signal processing component 14, so as to accurately identify whether there is a human body in the scene.

[0053] In some embodiments, among various scene objects, if the position information and / or speed information of any target object changes for multiple consecutive frames, the target object is determined to be a human body.

[0054] Specifically, the controller 20 or the signal processing component 14 determines whether the position information and / or speed information of each target object changes. If so, it is determined that the target object is moving and is a human body; if not, it is determined that the target object is not moving and is not a human body.

[0055] Optionally, the controller 20 or the signal processing component 14 may process the position information and speed information of multiple consecutive frames of each scene object to obtain the contour information of each scene object, and determine whether the contour information of each scene object is a human body. Combining the judgment result of the contour information and whether there is motion, it can be more accurately determined whether each scene object is a human body.

[0056] In this way, by processing multiple frames of position information and speed information of each scene object collected by the detection module 10, it is possible to accurately identify whether there is a human body in the scene while protecting privacy.

[0057] In some embodiments, the controller 20 is further used to identify the posture information of the human body based on multiple consecutive frames of contour information of the human body when a human body is present.

[0058] The contour information refers to the external boundary shape information used to describe an object or a human body.

[0059] The posture information refers to information describing the position, direction and relative position relationship of each part of an object or a human body in space. Alternatively, the human body posture information may refer to the human body's activity posture and sleep posture.

[0060] Specifically, after the controller 20 obtains the position information and speed information of each scene object collected by the detection module 10 for multiple consecutive frames, it can construct the contour information of each scene object to detect and identify the human body. When there is a human body in the scene, the controller 20 can determine whether the current posture information of the human body is an active posture or a sleeping posture based on the contour information of the human body for multiple consecutive frames.

[0061] In this way, identifying the posture information of the human body helps the subsequent control device 200 to optimize the energy management strategy.

[0062] In some embodiments, the human body includes one or more human bodies, and the controller 20 is further configured to output the detection results of the human body and / or the posture information of each human body.

[0063] Specifically, the human bodies present in each scene object may be zero, one or more. Based on the number of human bodies present, the controller 20 may upload the detection results and the corresponding number of human posture information to the control device 200. The control device 200 adjusts the energy management strategy to meet different needs based on the received information. For example, when there is no human body in the scene, the detection result of the human body is that there is no human body. The controller 20 uploads the detection result of the human body to the control device 200, and the control device 200 can control the disconnection of the power supply of the corresponding electrical load to save energy; when there is a human body in the scene, the detection result of the human body is that there is a human body. The controller 20 uploads the detection result of the human body and the posture information of the human body to the control device 200, and the control device 200 can control the opening of the corresponding electrical load to meet the use needs of the human body.

[0064] In this way, the detection results of people and / or the posture information of each human body uploaded by the controller 20 to the control device 200 can help the control device 200 to clarify the scene requirements and adjust the energy management strategy.

[0065] In some embodiments, the detection device 100 further includes an environmental sensor 30, which is connected to the controller 20. The environmental sensor 30 is used to detect environmental information, and the environmental information includes at least one of the temperature, humidity, and light intensity of the current scene.

[0066] The environment sensor 30 is a device for detecting physical and chemical information of the surrounding environment. Optionally, the environment sensor 30 may be a temperature sensor 31 , a humidity sensor 32 , and a light sensor 33 .

[0067] Specifically, the environmental sensor 30 is connected to the controller 20, and the environmental sensor 30 can collect various information about the surrounding environment, and the various environmental information includes at least one of temperature, humidity, and light intensity. When the detection result shows that a human body exists, changes in temperature, humidity, and light intensity in the environmental information will cause changes in the energy demand of the human body in the scene. The control device 200 receives the environmental information uploaded by the controller 20, and adjusts the energy management strategy according to the changes in the environmental information.

[0068] In some embodiments, the environmental sensor 30 includes at least one of a temperature sensor 31, a humidity sensor 32, and a light sensor 33. The temperature sensor 31, the humidity sensor 32, and the light sensor 33 are all connected to the controller 20. The temperature sensor 31 is used to detect the temperature information of the current scene, the humidity sensor 32 is used to detect the humidity information of the current scene, and the light sensor 33 is used to detect the light intensity information of the current scene.

[0069] Specifically, the environmental information includes at least one of the temperature, humidity, and light intensity of the current scene, and the corresponding environmental sensor 30 includes at least one of a temperature sensor 31 , a humidity sensor 32 , and a light sensor 33 .

[0070] The temperature sensor 31 converts the detected temperature into an analog electrical signal, and then transmits the analog electrical signal to the controller 20. Optionally, the temperature sensor 31 may be a thermistor or a digital temperature sensor;

[0071] The humidity sensor 32 converts the detected humidity into an electrical signal analog quantity, and then transmits the electrical signal analog quantity to the controller 20. Optionally, the humidity sensor 32 may be a capacitive humidity sensor, a capacitive humidity sensor, or a semiconductor IC temperature sensor. The capacitive humidity sensor utilizes the characteristic that the humidity-sensitive capacitor changes with the change of the ambient humidity, and converts the change of the humidity-sensitive capacitor into an electrical signal analog quantity and transmits it to the controller 20;

[0072] The light sensor 33 converts the detected light intensity into an analog electrical signal, and then transmits the analog electrical signal to the controller 20. Optionally, the light sensor 33 may be a photoresistor sensor, which utilizes the property that the photoresistor changes with the change of the ambient light intensity, and converts the change of the photoresistor into an analog electrical signal and transmits it to the controller 20.

[0073] In this way, the environmental information in the scene can be accurately collected and uploaded.

[0074] In some embodiments, the controller 20 further includes an analog-to-digital converter 21 , which is connected to the environmental sensor 30 to collect environmental information.

[0075] The analog-to-digital converter 21 is an electronic device or circuit for converting an analog signal into a digital signal. For example, the analog-to-digital converter 21 can convert the temperature analog value of the temperature sensor 31 into the temperature digital value.

[0076] The analog-to-digital converter 21 is connected to the environmental sensor 30, and can convert the analog quantity of the temperature electrical signal detected by the temperature sensor 31 into a digital quantity of temperature, convert the analog quantity of the humidity electrical signal detected by the humidity sensor 32 into a digital quantity of humidity, and convert the analog quantity of the light intensity electrical signal detected by the light sensor 33 into a digital quantity of light intensity.

[0077] In this way, the analog-to-digital converter 21 converts the analog quantity of the environmental information of the environmental sensor 30 into a digital quantity, which is convenient for subsequent processing and can improve the anti-interference ability of the environmental information during the transmission process.

[0078] In some embodiments, the detection device 100 also includes a power switching circuit 41 and a battery module 42. When the power switching circuit 41 is connected to an external power supply, the external power supply is used to power the various functional modules of the detection device 100 and to charge the battery module 42; when the power switching circuit 41 is not connected to an external power supply, the battery module 42 is used to power the various functional modules of the detection device 100.

[0079] The detection device 100 further includes a power switching circuit 41 and a battery module 42 .

[0080] When the power switching circuit 41 is connected to an external power source, the external power source supplies power to each functional module of the detection device 100 through the power switching circuit 41. When the battery module 42 is not fully charged, the external power source can charge the battery module 42 through the power switching circuit 41. When the power switching circuit 41 is not connected to an external power source, the battery module 42 supplies power to each functional module of the detection device 100 through the power switching circuit 41.

[0081] In this way, the existence of the power switching circuit 41 and the battery module 42 improves the applicability of the detection device 100 .

[0082] In some embodiments, the detection device 100 also includes multiple power conversion circuits 43, one end of each power conversion circuit 43 is connected to the power switching circuit 41, and the other end is connected to one or more functional modules, and the multiple power conversion circuits 43 are used to convert the input voltage into the working voltage of the connected functional modules.

[0083] The working voltage refers to the voltage required by an electrical device, electronic device or circuit in a normal working state, for example, the working voltage of the detection module 10 and the controller 20.

[0084] The detection device 100 further includes a plurality of power conversion circuits 43 .

[0085] One end of each power conversion circuit 43 is connected to the power switching circuit 41 to obtain electrical energy, and then converts the input electrical energy voltage into the working voltage of different functional modules. The other end is respectively connected to different functional modules to provide corresponding working voltages for different functional modules.

[0086] In this way, the multiple power conversion circuits 43 provide corresponding operating voltages for different functional modules, thereby ensuring the normal and stable operation of the different functional modules.

[0087] In some embodiments, the detection device 100 also includes a communication module 44, which is connected to the controller 20. The controller 20 is used to communicate with the control device 200 through the communication module 44 to upload at least one of the detection results and environmental information.

[0088] The detection device 100 further includes a communication module 44 .

[0089] The communication module 44 is connected to the controller 20 , and the controller 20 establishes a communication connection with the control device 200 through the communication module 44 . The controller 20 receives communication information of the control device 200 through the communication module 44 , and transmits the human detection results and / or environmental information to the control device 200 .

[0090] Optionally, the communication module 44 may be a Wi-Fi & Bluetooth communication module. The Wi-Fi & Bluetooth communication module operates in Station (abbreviated as STA) mode, and is connected to and communicates with the control device 200 through a wireless access point (abbreviated as Wi-Fi-AP) central service node.

[0091] After the detection device 100 is initialized, it establishes a communication connection with the control device 200. The controller 20 in the detection device 100 detects whether the scheduled task time has arrived. If not, it continues to wait. If so, the person in the detection device 100 detects the position information and speed information of each scene object in the detection module 10, and the controller 20 or the signal processing component 14 performs a person detection to obtain a person detection result. Based on the person detection result, the controller 20 obtains the corresponding posture information of the human body. The environmental sensor 30 in the detection device 100 detects the environmental information in the scene and uploads it to the controller 20.

[0092] The controller 20 detects whether the communication information of the control device 200 is received. If not, the controller 20 directly uploads the person in the detection result, the corresponding human posture information and the environmental information; if so, the controller 20 uploads the person in the detection result and / or the corresponding human posture information and / or environmental information according to the needs of the control device 200. For example, when the control device 200 receives the person in the detection result for many times and determines that there is a human body in the scene, the control device 200 can send information to the detection device 100, and the detection device 100 no longer uploads the person in the detection result, but only uploads the corresponding human posture information and environmental information. Then it enters to determine whether the scheduled task time has arrived and executes the loop.

[0093] In this way, the detection device 100 transmits the detection result of the person and / or the corresponding human posture information and / or environmental information to the control device 200 through the communication module 44, which helps the control device 200 to adjust the energy management strategy accordingly.

[0094] In some embodiments, the detection device 100 further includes a reset button 46 and an operation indicator light 45 .

[0095] The reset button 46 is connected to the corresponding power conversion circuit 43 to receive power. The reset button 46 is connected to the controller 20, and the controller 20 can control the reset button 46 to detect the device 100 and restart it.

[0096] The operation indicator light 45 is connected to the corresponding power conversion circuit 43 to receive power. The operation indicator light 45 is connected to the controller 20, and the controller 20 controls the operation indicator light 45 to display different states according to the operation state and Wi-Fi communication state of the detection device 100. For example, when the detection device 100 is in a normal operation state and the Wi-Fi communication is normal, the operation indicator light 45 is controlled to display a permanently lit green light; when the detection device 100 is in a normal operation state but the Wi-Fi communication is abnormal, the operation indicator light 45 is controlled to display a flashing green light; when the detection device 100 is in a faulty operation state and the Wi-Fi communication is abnormal, the operation indicator light 45 is controlled to display a flashing red light.

[0097] In this way, the reset button 46 can restart the detection device 100 to help troubleshooting, and the operation indicator light 45 can intuitively indicate the brief status of the detection device 100 and provide intuitive feedback to the user when operating the detection device 100.

[0098] The detection device 100 provided in the embodiment of the present application can protect privacy while accurately identifying each scene object in the scene by detecting the position information and speed information of each scene object in the detection module 10 by the person in any scene. The information detected by the person in the detection module 10 is processed by the controller 20 or the signal processing component 14, so that it is possible to accurately identify whether there is a human body in the scene, and when there is a human body, identify the posture information of each human body. Uploading the detection results and / or the posture information and / or environmental information of the person on the controller 20 helps the control device 200 to adjust the corresponding energy management strategy.

[0099] The control device 200 is used to input the position information and speed information of each scene object collected by the detection device 100 for multiple consecutive frames into a preset artificial intelligence model for human detection to output the human detection result.

[0100] The energy storage device 300 is a device for storing electrical energy and capable of charging and discharging. In the event of a natural disaster or other emergency situation that causes a power grid failure, the energy storage device can be used as an emergency power source to provide continuous and stable electrical energy to important facilities (such as hospitals, communication base stations, traffic lights, etc.) in a short period of time to ensure the normal operation of important facilities.

[0101] Optionally, the energy storage device 300 may be a battery cell, a battery module in which one or more battery cells are connected in series, in parallel, or in a combination of series and parallel, or a battery pack.

[0102] See also Figure 2 An artificial intelligence-based energy storage control method provided in an embodiment of the present application is implemented by steps 011 and 012, which are described in detail below.

[0103] Step 011: inputting multiple frames of position information and speed information of each scene object into a preset artificial intelligence model for human detection to output a human detection result, which includes information about the person in each scene object;

[0104] The scene object refers to the object in the current scene. The current scene refers to a specific activity or state situation composed of various entities (including people, equipment, environmental factors, etc.) and their relationships within a specific time and space range. For example, the current scene can be a home interior, a store or a restaurant, or a fixed preset scene.

[0105] Among them, the artificial intelligence model is a computing architecture built based on mathematical algorithms and data, which is used to analyze and process detection information and output results.

[0106] Among them, human presence detection refers to the process of analyzing and judging whether there is a person in the scene.

[0107] The human detection result is a judgment result obtained by human detection, and includes information about humans in each scene object.

[0108] Specifically, the detection device transmits a signal to the current scene, and the transmitted signal is reflected back after contacting each scene object in the current scene. The detection device receives the reflected signal, and after signal processing, it can obtain the position information and speed information of each scene object for multiple consecutive frames; the position information and speed information of each scene object for multiple consecutive frames are input into a preset artificial intelligence model for human detection, and the information of people in each object in the current scene can be obtained.

[0109] In this way, it is possible to accurately identify whether there are people in the current scene while protecting privacy.

[0110] Step 012: Based on the human detection results, control the working condition of the energy storage device.

[0111] Among them, the operating condition refers to the operating condition of the energy storage equipment during the working process.

[0112] Specifically, by controlling the operating status of the energy storage device based on the information of people in the current scene, it is possible to avoid waste of electric energy and improve the energy utilization rate of the energy storage device.

[0113] The artificial intelligence-based energy storage control method of the present application performs human presence detection on multiple consecutive frames of position information and speed information of various scene objects input through a preset artificial intelligence model, can accurately determine the information of people in the current scene, and adjust the operating status of the energy storage device based on the information of people in the current scene. It can realize real-time control of the working condition of the energy storage device, avoid waste of electric energy, and improve the energy utilization rate of the energy storage device.

[0114] In some embodiments, see Figure 3 Optionally, step 012 includes:

[0115] Step 0121: When there is a person in the current scene, control the energy storage device to charge to a preset power;

[0116] Step 0122: When there is no person in the current scene, control the energy storage device to stop discharging.

[0117] The preset power refers to the power value or power range preset for the energy storage device. The preset power is predetermined based on specific needs, usage scenarios, device performance, etc.

[0118] Specifically, when there are people in the current scene, the energy storage device is charged to a preset power level to ensure that when each power load serves the people in the current scene, the energy storage device can provide sufficient power for each power load, thereby avoiding the situation where each power load lacks power and cannot be used.

[0119] Specifically, when there is no person in the current scene, the energy storage device is controlled to stop discharging to avoid wasting electric energy.

[0120] In some embodiments, see Figure 4 Optionally, step 0121 includes:

[0121] Step 01211: Obtain electricity price information;

[0122] Step 01212: Based on the electricity price information, determine the target time period, and control the energy storage device to charge to a preset power during the target time period. The target time period is a time period within the preset time period when the electricity price is lower than the preset electricity price or the lowest electricity price.

[0123] Among them, electricity price information refers to the electricity price in the area where the current scene is located.

[0124] The target period refers to the period within the preset period when the electricity price is lower than the preset electricity price or the lowest electricity price. The preset period refers to the period when there is electricity load usage in the current scene.

[0125] The preset electricity price refers to the electricity price pre-set based on experience in the area where the current scenario is located.

[0126] Specifically, when there are people in the current scene, the electricity price of the area where the current scene is located is obtained. Based on the electricity price of the area where the current scene is located, a time period when the electricity price is lower than a preset electricity price or a time period when the electricity price is the lowest is determined, and the energy storage device is controlled to charge to a preset power during the time period when the electricity price is lower than the preset electricity price or the time period when the electricity price is the lowest.

[0127] In this way, the charging cost of energy storage equipment can be reduced and the electricity cost can be reduced.

[0128] In some embodiments, see Figure 5 The energy storage control method based on artificial intelligence also includes step 013, step 014 and step 015, which are described in detail below.

[0129] Step 013: When there is a person in the current scene, input the contour information of each scene object into the artificial intelligence model for state detection to output the state detection result of the person, and the state detection result includes an active state or a sleeping state;

[0130] The contour information refers to the external boundary shape information used to describe an object or a human body.

[0131] Among them, state detection refers to the process of detecting the state of people in the current scene.

[0132] The state detection result is a result of the state detection, including an active state or a sleeping state.

[0133] Specifically, when there are people in the current scene, the contour information of each scene object collected by the detection device is input into the preset artificial intelligence model for state detection, and the state detection result is output to determine whether the state of the person in the current scene is active or sleeping.

[0134] In this way, the status of people in the current scene can be accurately judged, and the working conditions of the energy storage equipment can be controlled accordingly, thus avoiding energy waste.

[0135] Step 014: When the state detection result is an active state, control the energy storage device to charge to a preset power;

[0136] Step 015: When the state detection result is a sleep state, control the energy storage device to stop discharging.

[0137] Specifically, when the status detection result of any person in the current scene is an active state, the energy storage device is controlled to charge to a preset power; when the status detection result of all people in the current scene is a sleeping state, the energy storage device is controlled to stop discharging.

[0138] In this way, waste of energy can be avoided.

[0139] In some embodiments, see Figure 6 Optionally, step 0122 includes:

[0140] Step 01221: When there is no person in the current scene, control the energy storage device to stop discharging to each target load, where the target load includes each load with a custom configuration and / or each load with a priority lower than a preset priority.

[0141] The target load refers to each customized load among the loads receiving power from the energy storage device in the current scenario, and / or each load whose priority is lower than a preset priority.

[0142] Specifically, when there are no people in the current scene, the energy storage device is controlled to stop discharging to various loads that are pre-defined and / or have a priority lower than the preset priority. For example, when there are no people in a shopping mall at night, lighting is not needed to meet people's needs. The energy storage device can be controlled to stop supplying power to the lighting device to avoid wasting electricity.

[0143] In some embodiments, please refer to Figure 6Optionally, step 015 includes:

[0144] Step 0151: When the state detection result is a sleep state, control the energy storage device to stop discharging to each target load, the target load includes each load of a custom configuration, and / or each load with a priority lower than a preset priority.

[0145] Specifically, when the state detection result of the person in the current scene is a sleeping state, the energy storage device is controlled to stop discharging to various loads that are pre-defined and / or have a priority lower than the preset priority. For example, in a home environment, if the person is in a sleeping state, the energy storage device can be controlled to stop supplying power to devices such as water heaters to avoid wasting electricity.

[0146] In some embodiments, see Figure 7 Optionally, step 012 includes:

[0147] Step 0123: Based on the number of people, the discharge power of the energy storage device is controlled, and the discharge power is positively correlated with the number of people.

[0148] Specifically, when there are more people in the current scene, the current scene has a greater requirement for temperature control, and the energy storage device can be controlled to increase the discharge power of the temperature control load in the current scene, so that the central air conditioner in the current scene can increase the output power to control the temperature. When there are fewer people in the current scene, the temperature control requirement in the current scene is lower, and the energy storage device can be controlled to discharge the temperature control load in the current scene with a discharge power that is positively correlated with the number of people.

[0149] In this way, the power load demand in the current scenario with a large number of people can be met.

[0150] In some embodiments, see Figure 8 Optionally, step 011 includes:

[0151] Step 0111: Among the scene objects, if the position information and / or speed information of any scene object changes for multiple consecutive frames, it is determined that there is a person in the current scene.

[0152] Specifically, after inputting the position information and speed information of multiple consecutive frames of each scene object into the preset artificial intelligence model, the artificial intelligence model judges the position information and speed information of multiple consecutive frames of each scene object. If the position information and / or speed information of multiple consecutive frames of any scene object changes, it is determined that there is a person in the current scene. Then, the output person detection result is that there is a person in the current scene. If the position information and speed information of multiple consecutive frames of all scene objects do not change, it is determined that there is no person in the current scene, and the output person detection result is that there is no person in the current scene.

[0153] In this way, the position information and speed information of multiple consecutive frames of each scene object are input into the preset artificial intelligence model for human detection, which can accurately determine whether there is a person in the current scene.

[0154] In some embodiments, see Fig. 9 Optionally, step 012 includes:

[0155] Step 0124: Based on the human detection results and environmental information, control the working condition of the energy storage device.

[0156] The environmental information includes at least one of the temperature information, humidity information and light intensity information of the current scene. The temperature information is used to characterize the temperature value of the current scene; the humidity information is used to characterize the humidity value of the current scene; and the light intensity information is used to characterize the light intensity value of the current scene.

[0157] Specifically, the operation of the energy storage device can be more accurately controlled by combining the detection results of people in the current scene and environmental information.

[0158] In some embodiments, see Fig.10 Optionally, step 0124 includes:

[0159] Step 01241: Controlling the working condition of the energy storage device based on the human detection result and temperature information;

[0160] Step 01242: Based on the detection result of the person present and the humidity information, control the working condition of the energy storage device;

[0161] Step 01243: Based on the human detection results and light intensity information, control the working condition of the energy storage device.

[0162] Specifically, combined with the detection results and temperature information of people in the current scene, the discharge of the energy storage device as a temperature control device is adaptively controlled. For example, when there are many people in the current scene and the temperature is high, the discharge power of the energy storage device as a central air conditioner is controlled to increase so that the central air conditioner can cool with greater power to lower the temperature.

[0163] Combined with the detection results and humidity information of people in the current scene, the energy storage device is adaptively controlled to discharge the humidity control device. For example, if there are many people in the current scene and the humidity is low, the energy storage device is controlled to increase the discharge power of the humidifier so that the humidifier can produce moisture with greater power, thereby increasing the humidity of the current environment to meet the demand.

[0164] Combined with the detection results of people in the current scene and the light intensity information, the energy storage device is adaptively controlled to discharge the lighting equipment. For example, if there is no person in the current scene and the light intensity is low, the energy storage device is controlled to stop discharging the lamp, so that the lamp stops lighting and avoids wasting energy.

[0165] In this way, by combining the detection results and environmental information of people in the current scene, the operation of the energy storage equipment can be accurately controlled, which can save electricity and improve the utilization rate of electricity while meeting the needs of the current scene.

[0166] The artificial intelligence-based energy storage control method of the present application can accurately confirm whether there is a person in the current scene by inputting the data collected by the detection equipment into a preset artificial intelligence model; based on the human detection results and / or environmental information, the operation of the energy storage equipment can be more accurately controlled in real time, thereby avoiding the waste of electric energy and improving the energy utilization rate of the energy storage equipment.

[0167] According to the method described in the above embodiment, the present application embodiment also provides an artificial intelligence-based energy storage control device 300, which is used to execute the steps in the above artificial intelligence-based energy storage control method. Fig.11 , Fig.11 : is a module diagram of an energy storage control device 300 based on artificial intelligence provided in an embodiment of the present application. The energy storage control device 300 based on artificial intelligence includes:

[0168] Detection module 310: The detection module is used to input the position information and speed information of multiple consecutive frames of each scene object into a preset artificial intelligence model to perform human detection, so as to output a human detection result, which includes the information of the person in each scene object;

[0169] Control module 320: The control module is used to control the working condition of the energy storage device based on the detection results of the human.

[0170] It should be noted that the specific details of each module unit in the above-mentioned artificial intelligence-based energy storage control device have been described in detail in the embodiment of the above-mentioned artificial intelligence-based energy storage control method, and will not be repeated here.

[0171] In the embodiments of the present application, the term "module" or "unit" refers to a computer program or a part of a computer program with a predetermined function, and works together with other related parts to achieve a predetermined goal, and can be implemented in whole or in part by using software, hardware (such as processing circuits or memories) or a combination thereof. Similarly, a processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be part of an overall module or unit that includes the function of the module or unit.

[0172] See also Fig.12 , Fig.12 1 is a schematic diagram of the structure of the control device 200 of the energy storage control system 1000 provided in the embodiment of the present application. The control device 200 includes a processor 201 and a memory 202. The memory 202 stores a computer program 203 that can be run on the processor 201. When the program 203 is executed by the processor 201, each process of the embodiment of the energy storage control method based on artificial intelligence is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0173] The embodiment of 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 various processes of the embodiment of the above-mentioned artificial intelligence-based energy storage control method are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0174] The processor may be a processor in the electronic device in the above embodiment. The computer readable storage medium may be a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.

[0175] Computer readable media may include computer storage media and communication media. Computer storage media include volatile and non-volatile, removable and non-removable media implemented by any method or technology for storing information such as computer readable instructions, data structures, program modules or other data. Computer storage media include RAM, ROM, Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), flash memory or other solid-state memory technology, CD-ROM, Digital Versatile Disc (DVD) or other optical storage, cassettes, magnetic tapes, disk storage or other magnetic storage devices. Of course, those skilled in the art will know that computer storage media are not limited to the above.

[0176] The embodiment of the present application also provides a computer program product, including a computer program, which implements the above-mentioned energy storage control method based on artificial intelligence when executed by a processor. The processor may be a processor in the electronic device in the above-mentioned embodiment. When the computer program is executed by the processor, each process of the embodiment of the energy storage control method based on artificial intelligence is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0177] It is understandable that in the specific implementation of this application, data related to user identity or characteristics is involved. When the above embodiments of this application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0178] In the description of this specification, the descriptions with reference to the terms "certain embodiments", "in an example", "exemplarily", etc., mean that the specific features, structures, materials or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless there is any contradiction. In the description of the present application, the meaning of "multiple" is at least two, such as two, three, unless otherwise clearly and specifically defined.

[0179] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0180] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application. The scope of the present application is defined by the claims and their equivalents.

Claims

1. An energy storage control method based on artificial intelligence, characterized in that: Applied to an energy storage control system, the energy storage control system includes an energy storage device and a detection device, the detection device is used to detect the position information and speed information of each scene object in the current scene; the method includes: Inputting multiple frames of position information and speed information of each of the scene objects into a preset artificial intelligence model for human presence detection to output a human presence detection result, wherein the human presence detection result includes information of the person in each of the scene objects; Based on the detection result of the person, the working condition of the energy storage device is controlled.

2. The energy storage control method based on artificial intelligence according to claim 1, characterized in that: The person detection result includes whether there is a person in the current scene, and the controlling the working condition of the energy storage device based on the person detection result includes: When there is a person in the current scene, controlling the energy storage device to charge to a preset power; When no person exists in the current scene, the energy storage device is controlled to stop discharging.

3. The energy storage control method based on artificial intelligence according to claim 2 is characterized in that: When there is a person in the current scene, controlling the energy storage device to charge to a preset power level includes: Get electricity price information; Based on the electricity price information, a target time period is determined, and the energy storage device is controlled to charge to a preset power during the target time period. The target time period is a time period within a preset time period when the electricity price is lower than a preset electricity price or the electricity price is the lowest.

4. The energy storage control method based on artificial intelligence according to claim 1 is characterized in that: The detection device is also used to detect contour information of each of the scene objects, and the method further includes: In the case where there is a person in the current scene, inputting contour information of each of the scene objects into the artificial intelligence model for state detection to output a state detection result of the person, wherein the state detection result includes an active state or a sleeping state; When the state detection result is an active state, controlling the energy storage device to charge to a preset power; When the state detection result is a sleep state, the energy storage device is controlled to stop discharging.

5. The energy storage control method based on artificial intelligence according to claim 2 or 4, characterized in that: The controlling the energy storage device to stop discharging comprises: The energy storage device is controlled to stop discharging to each target load, wherein the target load includes each load of a custom configuration and / or each load having a priority lower than a preset priority.

6. The energy storage control method based on artificial intelligence according to claim 1 is characterized in that: The person detection result includes the number of people in the current scene, and the controlling the working condition of the energy storage device based on the person detection result includes: Based on the number of people, the discharge power of the energy storage device is controlled, and the discharge power is positively correlated with the number of people.

7. The energy storage control method based on artificial intelligence according to claim 1 is characterized in that: The inputting of multiple frames of position information and speed information of each scene object into a preset artificial intelligence model for human presence detection to output a human presence detection result includes: Among the scene objects, if the position information and / or speed information of any scene object changes for multiple consecutive frames, it is determined that there is a person in the current scene.

8. The energy storage control method based on artificial intelligence according to claim 1 is characterized in that: The energy storage control system further includes an environmental sensor, which is used to detect environmental information of the current scene. The control of the working condition of the energy storage device based on the detection result of the person includes: Based on the detection result of the person and the environmental information, controlling the working condition of the energy storage device; The environmental sensor includes at least one of a temperature sensor, a humidity sensor and a light sensor, the environmental information includes at least one of the temperature information, humidity information and light intensity information of the current scene, and the controlling the working condition of the energy storage device based on the detection result of the person and the environmental information includes: Based on the detection result of the person and the temperature information, controlling the working condition of the energy storage device; Based on the detection result of the person being present and the humidity information, controlling the working condition of the energy storage device; Based on the detection result of the person and the light intensity information, the working condition of the energy storage device is controlled.

9. An energy storage control system, characterized in that: include: Energy storage equipment; A detection device, the detection device is used to detect position information and speed information of each scene object in the current scene; A control device, wherein the control device is used to execute the method for energy storage control based on artificial intelligence as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the artificial intelligence-based energy storage control method as described in any one of claims 1 to 8 is implemented.

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