Direct broadcasting room hardware management and control method and system

Abstract

The invention relates to the technical field of hardware monitoring analysis, and provides a live broadcast room hardware management and control method, which comprises the following steps: S1, after carrying out user-defined combination on live broadcast room equipment, grouping and accessing different power supply monitoring modules, and simultaneously accessing the power supply monitoring modules into a company power grid to supply power to the live broadcast room equipment in the corresponding group; s2, the power supply monitoring module is connected to the live broadcast management middle platform through a network, is registered into a virtual device group and is classified into a virtual live broadcast room scene, and the power supply monitoring module is remotely controlled on the live broadcast management middle platform to switch on and off the power supply of the live broadcast room device; and S3, mapping the live broadcast room scheduling list into a live broadcast room virtual use time period, and carrying out electric quantity abnormal use analysis in combination with the equipment information of the virtual equipment group and the live broadcast room virtual use time period. The problem of live broadcast room hardware equipment management caused by development of the live broadcast industry is solved, an efficient and intelligent management and control method is provided to ensure reasonable use of the live broadcast room hardware equipment, the resource utilization efficiency is improved, and the operation cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of hardware monitoring and analysis, and in particular to a live broadcast room hardware management and control method and system. Background Art

[0002] In today's digital age, the live broadcast industry is developing rapidly. With the continuous improvement of network infrastructure and the widespread popularity of mobile devices, live broadcast, as a highly interactive and instant communication method, has attracted more and more participants. Whether in the fields of entertainment, education, business or social networking, live broadcast plays an important role, which has led many companies to invest in it and vigorously expand their live broadcast business.

[0003] In this wave of development, the number of the company's anchors and live broadcast rooms has shown a rapid growth trend. In order to meet the diverse needs of live broadcasts, the company has continuously expanded its anchor team and equipped a large number of live broadcast rooms. However, this rapid expansion has also brought a series of management challenges. The tasks of the live broadcast room operation and maintenance personnel have become extremely heavy. They need to be responsible for many matters such as the daily maintenance, management, and use arrangements of the live broadcast room hardware equipment. However, due to the large number of live broadcast rooms and their scattered distribution, the operation and maintenance personnel are often unable to effectively control the hardware equipment of each live broadcast room in a timely manner in actual operations.

[0004] In the actual operation process, this management loophole has led to many problems. In many live broadcast rooms, the hardware equipment remains turned on during the period when there is no live broadcast activity. From the perspective of hardware service life, long-term uninterrupted operation keeps the hardware equipment in working condition, which aggravates the wear and tear of the equipment. For example, after long-term operation, the hard disk, graphics card and other key components of the computer host may cause hardware overheating due to poor heat dissipation, which in turn affects its performance and shortens its service life; lighting equipment such as LED lights, continuous lighting will accelerate its light decay, reduce lighting effects, and increase the probability of failure. From the perspective of waste of electricity resources, the equipment in many idle live broadcast rooms is idling, consuming a lot of electricity and energy, and increasing the company's operating costs. This situation not only has a negative impact on the company's economic benefits, but also does not conform to the current concept of energy conservation and emission reduction. Summary of the invention

[0005] In response to the above problems, the purpose of the present invention is to provide a live broadcast room hardware management and control method and system to solve the live broadcast room hardware equipment management problems brought about by the development of the live broadcast industry, and to provide an efficient and intelligent management and control method to ensure the rational use of live broadcast room hardware equipment, thereby improving resource utilization efficiency and reducing operating costs.

[0006] The above-mentioned object of the present invention is achieved through the following technical solutions: A live broadcast room hardware management and control method comprises the following steps: S1: After the live broadcast room devices are customized and grouped, they are connected to different power monitoring modules, and at the same time, the power monitoring modules are connected to the company's power grid to supply power to the live broadcast room devices in the corresponding groups; S2: The power monitoring module is connected to the live broadcast management platform through the network, registered as a virtual device group and included in a virtual live broadcast room scene, and the power monitoring module is remotely controlled on the live broadcast management platform to turn on and off the power of the live broadcast room device; S3: Mapping the live broadcast room schedule list into a virtual usage time period of the live broadcast room, and analyzing abnormal power usage in combination with the device information of the virtual device group and the virtual usage time period of the live broadcast room.

[0007] Further, in step S1, after the live studio equipment is customized, it is grouped and connected to different power monitoring modules, and at the same time, the power monitoring modules are connected to the company power grid to supply power to the live studio equipment in the corresponding group, specifically: According to the factors including the function, power consumption and usage frequency of the live broadcast room equipment, a reasonable grouping strategy is set to perform custom grouping combination of the live broadcast room equipment; According to the power requirements and interface types of the equipment grouping in the live broadcast room, a suitable power monitoring module is selected. Each power monitoring module has multiple power output interfaces, which are connected to one or more of the live broadcast room devices. The selected power monitoring module is deployed at a suitable location in the live broadcast room and connected to the company's power grid through a power cord.

[0008] Furthermore, in step S1, the power supply monitoring module is specifically: The power monitoring module includes reporting the power usage of the connected live broadcast room equipment and remotely shutting down the connected live broadcast room equipment in a unified manner; Among them, the power usage of the live broadcast room equipment reported is: When the connected live broadcast room equipment is powered on, the current transformer and voltage transformer in the power monitoring module sense the current and voltage of the equipment in real time during operation. The current transformer converts the large current in the main circuit into a small current signal in proportion, and the voltage transformer converts the high voltage into a low voltage signal suitable for measurement. The collected small current signal and the low voltage signal enter the signal conditioning circuit, the amplification link in the signal conditioning circuit amplifies the signal to a suitable amplitude, the filtering link removes the noise and interference components in the signal, and the analog signal after amplification and filtering is converted into a digital signal through a digital-to-analog conversion circuit; After receiving the current and voltage signals in digital form, the microcontroller calculates the real-time power of the connected live broadcast room equipment at preset time intervals, and obtains the cumulative value of the power consumption of the equipment over a period of time, that is, the power consumption, by integrating the real-time power obtained by continuous calculation. At the same time, the microcontroller stores the power and power consumption data calculated each time, and records them in the internal memory in chronological order for subsequent query and analysis; The live broadcast room devices that are remotely closed for access are: When the device shutdown condition is met, the live broadcast management center generates a control instruction for remotely shutting down the device, and the instruction includes identification information of the live broadcast room device group, so that the power monitoring module can accurately identify the live broadcast room device to be shut down; The control instruction is sent to the corresponding power monitoring module through network communication. After receiving the control instruction for shutting down the live broadcast room equipment, the power monitoring module parses the control instruction and extracts the identification information of the live broadcast room equipment group; According to the identification information obtained by analysis, the control circuit inside the power supply monitoring module drives the corresponding relay or electronic switch to operate.

[0009] Further, in step S2, the power monitoring module is connected to the live broadcast management platform through the network, registered as a virtual device group and included in a virtual live broadcast room scene, and the power monitoring module is remotely controlled on the live broadcast management platform to realize the power switch of the live broadcast room device, specifically: After the power monitoring module is connected to the company power grid and connected to the live broadcast room equipment, an initialization operation is performed. The power monitoring module establishes a connection with the live broadcast management center through network communication, and sends the registration information including the ID and model of the power monitoring module and the connected live broadcast room equipment to the live broadcast management center. The live broadcast management center receives the registration information and verifies and records it, and incorporates the power monitoring module into the management system; A virtual device group corresponding to the power monitoring module is created on the live broadcast management platform, the virtual device group includes basic information of the power monitoring module, and a unique virtual device group ID is assigned to it. At the same time, according to the configuration rules of the live broadcast room, the virtual device group is classified into a specific virtual live broadcast room scene. The live broadcast management platform maps the live broadcast room device group managed by the power monitoring module to a specific scene instance according to the definition of the template of the virtual live broadcast room scene; The live broadcast management center provides a visualization interface, on which the layout and status information of each live broadcast room device are displayed in the form of the virtual live broadcast room scene, and the control operation of the device power is triggered by clicking the device icon on the visualization interface.

[0010] Furthermore, in step S2, it also includes: remotely adjusting the brightness and tone of the lighting equipment, specifically: The power monitoring module identifies and configures the connected lighting device, obtains information including model and functional characteristics, and establishes a device configuration file; Setting brightness and hue parameters on the operation interface of the live broadcast management platform; The live broadcast management center generates an adjustment instruction including the target lighting equipment identification, brightness value, tone parameters and related control information according to the settings, and sends the adjustment instruction to the corresponding power supply monitoring module through network communication; The power monitoring module receives the adjustment instruction sent by the live broadcast management center, parses the adjustment instruction, extracts the target lighting equipment identification, brightness parameters, and hue parameters, and verifies the legality and validity of the instruction; According to the analyzed brightness parameters and hue parameters, the power monitoring module converts them into driving signals suitable for the lighting device, sends the driving signals to the lighting device, and the internal circuit of the lighting device adjusts the light-emitting element parameters according to the signals to achieve brightness and hue adjustment.

[0011] Further, in step S3, the live broadcast room schedule list is mapped into the live broadcast room virtual usage time period, and the abnormal power usage analysis is performed in combination with the device information of the virtual device group and the live broadcast room virtual usage time period, specifically: Abnormal power consumption during non-operating hours: In the non-operating period, if the abnormal power consumption reported by the power monitoring module is found, it will be recorded and an early warning will be sent to the corresponding on-duty operation and maintenance personnel. The relevant power supply will be remotely shut down through the live broadcast management center, and the camera will be called to take a screenshot of the on-site environment. If no relevant personnel activities are found through AI human body detection, the AI ​​human body detection will be performed again after a preset time. If no personnel activities are found twice, the live broadcast management center will automatically issue a control command to shut down the power supply of the relevant live broadcast room; Abnormal power consumption during the operation period when no broadcasting is started: When there is no scheduling information in the live broadcast room, the power monitoring modules of the camera group and the lighting group are detected to see if they are consuming power. At the same time, the camera is called to take screenshots of the on-site environment. Through the AI ​​human body detection, if no human activity is found and the next live broadcast start time is greater than the preset time, the live broadcast management center automatically issues a control command to shut down the power supply of the relevant live broadcast room; Abnormal power consumption during the operation period: The power usage of each power monitoring module in the past month is counted to obtain an average value. If the power consumption during the live broadcast exceeds the average value by 20% or more, an automatic warning will be issued. The operator can quickly find out which power monitoring module in the specific live broadcast room is abnormal through the live broadcast management center and intervene.

[0012] Furthermore, the AI ​​human body detection is specifically as follows: The video image stream is obtained by the camera installed in the live broadcast room, and the camera transmits the real-time collected image data to the device or server where the AI ​​human body detection module is located; Perform operations such as format conversion and size adjustment on the collected images to make them meet the input requirements of the AI ​​human body detection model, and perform image enhancement processing such as noise removal, brightness and contrast adjustment; Load the pre-trained AI human body detection model, input the pre-processed image into the AI ​​human body detection model, and the model extracts and analyzes the image features through the convolutional neural network (CNN) algorithm; The AI ​​human detection model searches for human features in the image, predicts the position and posture of the human body, and generates a detection result including position information and confidence score for each detected human body; The detection results are screened according to the set confidence threshold, and the valid human detection results with confidence scores higher than the threshold are retained. The non-maximum suppression operation is performed on the screened detection results to remove redundant detection frames with high overlap, and the final human detection results are obtained; The final human body detection results including human body position, number, and confidence level are output to the live broadcast management center so as to decide whether to take corresponding power control measures based on whether human activity is detected.

[0013] A live studio hardware control system for executing the live studio hardware control method as described above, comprising: The power supply monitoring module access module is used to customize the live broadcast room equipment and connect them to different power supply monitoring modules in groups. At the same time, the power supply monitoring modules are connected to the company's power grid to supply power to the live broadcast room equipment in the corresponding group; A power monitoring module remote control module is used to provide the power monitoring module with a connection to the live broadcast management platform through the network, register as a virtual device group and include it in a virtual live broadcast room scene, and remotely control the power monitoring module on the live broadcast management platform to realize the power switch of the live broadcast room device; The abnormal power usage analysis module is used to map the live broadcast room schedule list into the virtual usage time period of the live broadcast room, and perform abnormal power usage analysis in combination with the device information of the virtual device group and the virtual usage time period of the live broadcast room.

[0014] A computer device comprises a memory and one or more processors, wherein the memory stores computer codes, and when the computer codes are executed by the one or more processors, the one or more processors execute the above method.

[0015] A computer-readable storage medium stores computer codes. When the computer codes are executed, the above method is executed.

[0016] Compared with the prior art, the present invention has at least one of the following beneficial effects: (1) Accurately control equipment power consumption: The power monitoring module monitors and manages the power supply of the live broadcast room equipment in real time. Combined with the live broadcast room shift list, it can automatically shut down the power supply of related equipment during non-operating hours (such as non-live broadcast time periods such as 2:00 a.m. to 6:00 a.m. under the three-shift system of the anchor) and during operating hours when the broadcast is not started and the conditions are met, to avoid idling of equipment and wasting electricity.

[0017] (2) Reduce equipment loss and maintenance costs: Reasonable power management reduces unnecessary equipment operation time, thereby reducing the wear and aging of hardware equipment, extending the service life of equipment, and reducing the cost of repair and replacement of failures caused by excessive use of equipment. For example, long-term uninterrupted operation of equipment such as servers is prone to hardware failures. By reducing its operating time through management and control methods, the number of annual repairs and replacements can be reduced, saving a lot of money.

[0018] (3) Real-time monitoring and early warning mechanism: The power usage and operating status of the equipment in the live broadcast room are monitored in real time. Once an abnormality occurs (such as abnormal power consumption during non-operating hours, abnormal power fluctuation during operating hours, etc.), the system will immediately record and warn, and send relevant information to the on-duty operation and maintenance personnel in a timely manner. The operation and maintenance personnel can remotely view the equipment status through the live broadcast management center, quickly locate the problem and take measures, without having to go to the site to check one by one, which greatly shortens the fault discovery and processing time. For example, in the past, it may take a long time for the operation and maintenance personnel to discover equipment abnormalities during inspections. Now, they can be warned and processed within a few minutes.

[0019] (4) Remote lighting adjustment to enhance visual effects: Some lighting equipment can remotely adjust the brightness and color tone. During the live broadcast, the operation and maintenance personnel or the anchor can flexibly adjust the lighting according to actual needs to create a lighting environment that is more suitable for the live broadcast content and atmosphere, improve the live broadcast picture quality and visual appeal, and thus enhance the audience's viewing experience. For example, in a beauty live broadcast, the product details can be highlighted by adjusting the lighting; in a dance live broadcast, the lighting effects can be switched according to the dance style. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is an overall flow chart of the live studio hardware control method of the present invention; Figure 2 This is a framework diagram of the hardware monitoring of the live studio of the present invention; Figure 3 It is the overall structural diagram of the live broadcast room hardware control system of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0022] Those skilled in the art will appreciate that, unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0023] First embodiment like Figure 1 and 2 As shown, this embodiment provides a live broadcast room hardware management and control method, including the following steps: S1: After the live broadcast room devices are customized and combined, they are connected to different power monitoring modules in groups. At the same time, the power monitoring modules are connected to the company's power grid to supply power to the live broadcast room devices in the corresponding groups.

[0024] In this embodiment, step S1 is specifically as follows: According to the factors including the function, power consumption and usage frequency of the live broadcast room equipment, a reasonable grouping strategy is set to customize the grouping combination of the live broadcast room equipment; according to the power requirements and interface types of the live broadcast room equipment grouping, a suitable power supply monitoring module is selected, each of which has multiple power output interfaces, connected to one or more of the live broadcast room equipment, and the selected power supply monitoring module is deployed at a suitable location in the live broadcast room and connected to the company's power grid through a power cord.

[0025] For the above technical points, examples of specific technical solutions are as follows: (1) Device grouping strategy formulation Functional analysis and classification: All devices in the live broadcast room are sorted out in detail and preliminarily classified according to their functional characteristics. For example, the image acquisition group includes devices such as camera 1, camera 2, and other cameras. The main function of these devices is to acquire images, which belongs to the same functional type. Usually, the power consumption of camera devices is at a medium-low level, and they are used frequently during live broadcasts. Grouping them into one group is convenient for unified power management and monitoring of their working status. Lighting equipment group: It consists of main lights and auxiliary lights. Its main function is to provide lighting and ensure the lighting conditions of the live broadcast scene. Lighting equipment may have different power consumption levels according to its power size, but it is used frequently in live broadcast scenes, especially in live broadcasts that require specific lighting effects. Grouping them into one group helps to centrally control lighting and power according to live broadcast needs. Core control group: It includes the live broadcast host and other devices. The live broadcast host here may refer to the live broadcast host or the main control device, and other devices may be related auxiliary control devices. These devices play a key role in controlling and processing signals during live broadcasts. The power consumption and frequency of use depend on the specific device type, but as the core control part of live broadcasts, dividing them into one group is conducive to ensuring the smooth progress of live broadcasts and facilitating the monitoring and management of their power supply and operating status.

[0026] Power consumption evaluation and classification: Use professional power consumption measuring instruments to accurately measure the power consumption of each device in normal working state and record the data. According to the power consumption, the devices are classified into different levels, such as low-power devices (power less than 50W, such as small fill lights, some microphones, etc.), medium-power devices (power between 50W - 500W, such as ordinary computers, general cameras, etc.) and high-power devices (power greater than 500W, such as large film and television lights, etc.).

[0027] Frequency of use statistics and grouping: The frequency of use of each device within a certain period of time (such as a month) is counted through the log records of the live broadcast management system or manual observation. Devices with high frequency of use (such as the main camera used many times a day), devices with medium frequency of use (such as the backup camera used several times a week), and devices with low frequency of use (such as special effect lights used rarely) are classified separately.

[0028] Comprehensive grouping determination: Comprehensively consider factors such as function, power consumption, and frequency of use to formulate the final grouping strategy. For example, devices with related functions and similar power consumption and frequency of use are grouped together to form a relatively independent device group, ensuring that the devices in each group have a certain degree of coordination and similarity in operation and management, which is convenient for the selection and management of subsequent power monitoring modules.

[0029] (2) Selection and deployment of power monitoring modules Module selection basis: According to the determined equipment grouping, analyze the total power demand of each group in detail. For groups with smaller power demand (such as low-power equipment groups), select small power monitoring modules with suitable power capacity and basic power monitoring functions (such as voltage and current monitoring, simple overload protection); for medium and high-power equipment groups with larger power demand, select power monitoring modules with larger power, more complete monitoring functions (such as power factor correction, accurate energy metering, remote control functions, etc.) and rich interface types (such as socket interfaces of various specifications, serial ports or network interfaces for data transmission and control) to ensure stable power supply and comprehensive monitoring and management.

[0030] Deployment location planning: In the live studio, the deployment location of the power monitoring module should be reasonably planned according to the actual distribution of the equipment and the convenience of use. The power monitoring module should be grouped as close as possible to the equipment it is connected to, to reduce the length of the power cord, line loss and electromagnetic interference. At the same time, the ventilation and heat dissipation conditions of the deployment location should be considered to avoid affecting the performance and life of the module due to long-term operation and heating. For example, the power monitoring module of the lighting equipment group can be installed near the lighting console or light stand; the power monitoring module of the control equipment group can be placed near the equipment cabinet.

[0031] Grid access and connection test: Connect the selected power monitoring module to the company's power grid through a power line that meets electrical safety standards. During the access process, strictly follow the electrical installation specifications to ensure that the connection is firm and the grounding is reliable. After completing the grid access, conduct a comprehensive test on the connection between each power monitoring module and the corresponding equipment group, including whether the power supply is normal, whether the equipment can be started and operated normally, and whether the monitoring data of the equipment by the power monitoring module is accurate. Any problems found during the test are promptly investigated and resolved to ensure the stability and reliability of the entire system.

[0032] In step S1, the power monitoring module is specifically: The power monitoring module includes reporting the power usage of the connected live broadcast room equipment and remotely shutting down the connected live broadcast room equipment in a unified manner; (1) The power usage of the live broadcast room equipment reported is: When the connected live broadcast room equipment is powered on, the current transformer and voltage transformer in the power monitoring module sense the current and voltage of the equipment in real time during operation. The current transformer converts the large current in the main circuit into a small current signal in proportion, and the voltage transformer converts the high voltage into a low voltage signal suitable for measurement; the collected small current signal and low voltage signal enter the signal conditioning circuit, the amplification link in the signal conditioning circuit amplifies the signal to a suitable amplitude, the filtering link removes the noise and interference components in the signal, and the analog signal after amplification and filtering is converted into a digital signal through a digital-to-analog conversion circuit; after the microcontroller receives the current and voltage signals in digital form, the real-time power of the connected live broadcast room equipment is calculated once every preset time interval, and the accumulated value of the power consumption of the equipment over a period of time, that is, the power consumption, is obtained by integrating the real-time power obtained by continuous calculation. At the same time, the microcontroller stores the power and power consumption data calculated each time, and records them in chronological order in the internal memory for subsequent query and analysis.

[0033] Specific technical solutions are as follows: (11) Current and voltage signal acquisition Working principle of the transformer: When the live broadcast room equipment is powered on, the current transformer and voltage transformer in the power monitoring module start working. The current transformer converts the large current in the main circuit into a small current signal at a certain ratio based on the principle of electromagnetic induction. For example, if the main circuit current is 100A and the transformation ratio of the current transformer is 100:5, then the converted small current signal is 5A. The voltage transformer is also based on the principle of electromagnetic induction to convert high voltage into a low voltage signal suitable for measurement. Assuming that the main circuit voltage is 220V and the voltage transformer ratio is 220:10, the converted low voltage signal is 10V.

[0034] Purpose of signal conversion: This conversion is to enable subsequent measurement and processing circuits to process signals safely and accurately, avoid damage to the measurement circuit by high voltage and high current, and improve measurement accuracy.

[0035] (12) Signal conditioning circuit processing Amplification stage: The collected small current signals and low voltage signals enter the signal conditioning circuit. The amplification stage amplifies the signal to a level suitable for subsequent processing. For example, after amplification, the input small current signal is amplified from the microampere level to the milliampere level, so that the analog-to-digital conversion circuit can better identify and convert it. This process uses electronic components such as operational amplifiers to form an amplification circuit, and linearly amplifies the signal according to the designed amplification factor.

[0036] Filtering: In actual circuit environments, signals are often affected by various noises and interferences, such as electromagnetic interference, line noise, etc. The filtering process uses filters composed of capacitors, inductors and other components to remove noise and interference components from the signal. For example, a low-pass filter can filter out high-frequency noise, making the signal purer and improving the accuracy of the measurement.

[0037] (13) Digital-to-analog conversion and power calculation Digital-to-analog conversion circuit: The analog signal after amplification and filtering is converted into a digital signal through the digital-to-analog conversion circuit. The digital-to-analog conversion circuit samples the analog signal according to a certain sampling frequency and converts it into a digital code. For example, a 12-bit analog-to-digital converter can convert an analog voltage signal of 0-5V into a digital code of 0-4095, each digital code corresponding to a specific voltage value, thereby realizing the conversion of analog signals to digital signals.

[0038] Power calculation: After receiving the current and voltage signals in digital form, the microcontroller calculates the real-time power of the connected live broadcast room equipment every preset time interval (such as every 1 second). According to the power calculation formula P=U*I (where P is power, U is voltage, and I is current), the microcontroller multiplies the received voltage and current digital signals to obtain the real-time power value.

[0039] (14) Electricity consumption accumulation and data storage Integral calculation to calculate power consumption: By integrating the real-time power obtained by continuous calculation, the accumulated value of the power consumption of the device over a period of time, that is, the power consumption, can be obtained. For example, if the real-time power is calculated every 1 second within 1 hour, these real-time power values ​​can be integrated to obtain the power consumption of the device within this 1 hour. The integral calculation can be implemented by the software algorithm in the microcontroller, such as the numerical integration method such as the trapezoidal method.

[0040] Data storage: At the same time, the microcontroller stores the power and power consumption data calculated each time and records them in the internal memory in chronological order. These data can provide a basis for subsequent queries and analysis, such as analyzing the power consumption patterns of the equipment and determining whether there are abnormal power consumption conditions. The internal memory can be EEPROM or other non-volatile memory to ensure that the data will not be lost after power failure.

[0041] (2) The live broadcast room devices that are remotely closed are: When the conditions for shutting down the device are met, the live broadcast management center generates a control instruction for remotely shutting down the device, and the instruction contains the identification information of the live broadcast room device group so that the power monitoring module can accurately identify the live broadcast room device to be shut down; the control instruction is sent to the corresponding power monitoring module through network communication, and after the power monitoring module receives the control instruction for shutting down the live broadcast room device, the control instruction is parsed to extract the identification information of the live broadcast room device group; according to the identification information obtained by the analysis, the control circuit inside the power monitoring module drives the corresponding relay or electronic switch to operate.

[0042] Specific technical solutions are as follows: (21) Control instruction generation Conditional judgment and command generation: When specific conditions for shutting down the device are met, such as abnormal power consumption during non-operating hours and going through relevant judgment processes, not broadcasting during operating hours and meeting automatic shutdown conditions, the live broadcast management center will generate a control command to remotely shut down the device.

[0043] Instruction content: The control instruction contains the identification information of the live broadcast room device group. This identification information is set and recorded in the previous device grouping process, and it can uniquely identify the device group that needs to be closed. For example, the identification information can be a digital code, a string or binary data, representing a specific device group, such as "device group A-001" and other forms.

[0044] (22) Command transmission Network communication mechanism: The live broadcast management center sends control instructions to the corresponding power monitoring module through network communication. The network communication here can be implemented based on a variety of protocols, and the common ones are network communication methods based on TCP / IP protocol, such as HTTP, MQTT and other protocols. If it is in a local area network environment, wireless communication protocols such as ZigBee, Z-Wave or Ethernet-based communication methods may also be used.

[0045] Ensure transmission accuracy: During the transmission process, in order to ensure that the instructions can reach the target power monitoring module accurately, technical means such as data verification and retransmission mechanism may be used. For example, in TCP-based communication, reliable data transmission is guaranteed by confirmation response, timeout retransmission and other mechanisms.

[0046] (23) Instruction parsing and execution Instruction reception and analysis: After the power monitoring module receives the device shutdown control instruction from the live broadcast management center, it will parse the instruction. The parsing process mainly extracts the identification information of the live broadcast room device group from the received data. This process is similar to extracting key data fields from a data packet, which is usually achieved through a pre-defined instruction format and parsing algorithm.

[0047] Control circuit drive: Based on the identification information obtained through analysis, the control circuit inside the power monitoring module will drive the corresponding relay or electronic switch to operate.

[0048] Working principle of relay: If the power supply of the device is controlled by a relay, when a shutdown command is received, the control circuit will de-energize the coil of the relay (if it is a normally open relay), causing the contacts of the relay to disconnect and cut off the power supply of the device. For example, for a 220V AC powered device, after the contacts of the relay are disconnected, the device cannot obtain the power supply current, thus realizing the shutdown operation.

[0049] Working principle of electronic switch: If an electronic switch (such as MOSFET, etc.) is used to control the power supply, the control circuit will change the conduction state of the electronic switch according to the instruction. When the device needs to be turned off, the control circuit will turn off the electronic switch, block the current flow, and then turn off the power supply of the device.

[0050] S2: The power monitoring module is connected to the live broadcast management platform through the network, registered as a virtual device group and included in a virtual live broadcast scene, and the power monitoring module is remotely controlled on the live broadcast management platform to switch the power of the live broadcast equipment on and off.

[0051] In this embodiment, step S2 is specifically as follows: After the power monitoring module is connected to the company power grid and connected to the live broadcast room equipment, an initialization operation is performed. The power monitoring module establishes a connection with the live broadcast management center through network communication, and sends the registration information including the ID and model of the power monitoring module and the connected live broadcast room equipment to the live broadcast management center. The live broadcast management center receives the registration information and verifies and records it, and incorporates the power monitoring module into the management system; A virtual device group corresponding to the power monitoring module is created on the live broadcast management platform, the virtual device group includes basic information of the power monitoring module, and a unique virtual device group ID is assigned to it. At the same time, according to the configuration rules of the live broadcast room, the virtual device group is classified into a specific virtual live broadcast room scene. The live broadcast management platform maps the live broadcast room device group managed by the power monitoring module to a specific scene instance according to the definition of the template of the virtual live broadcast room scene; The live broadcast management center provides a visualization interface, on which the layout and status information of each live broadcast room device are displayed in the form of the virtual live broadcast room scene, and the control operation of the device power is triggered by clicking the device icon on the visualization interface.

[0052] In addition, in step S2, it also includes: remotely adjusting the brightness and tone of the lighting equipment, specifically: The power monitoring module identifies and configures the connected lighting device, obtains information including model and functional characteristics, and establishes a device configuration file; Setting brightness and hue parameters on the operation interface of the live broadcast management platform; The live broadcast management center generates an adjustment instruction including the target lighting equipment identification, brightness value, tone parameters and related control information according to the settings, and sends the adjustment instruction to the corresponding power supply monitoring module through network communication; The power monitoring module receives the adjustment instruction sent by the live broadcast management center, parses the adjustment instruction, extracts the target lighting equipment identification, brightness parameters, and hue parameters, and verifies the legality and validity of the instruction; According to the analyzed brightness parameters and hue parameters, the power monitoring module converts them into driving signals suitable for the lighting device, sends the driving signals to the lighting device, and the internal circuit of the lighting device adjusts the light-emitting element parameters according to the signals to achieve brightness and hue adjustment.

[0053] S3: Mapping the live broadcast room schedule list into a virtual usage time period of the live broadcast room, and analyzing abnormal power usage in combination with the device information of the virtual device group and the virtual usage time period of the live broadcast room.

[0054] In this embodiment, step S3 is specifically as follows: Abnormal power consumption during non-operating hours: In non-operating time periods (e.g., if the anchor is on a three-shift system, the period between 2 a.m. and 6 a.m. is not a live broadcast period. However, the system can also be configured according to the actual operating time period of each live broadcast room), if the abnormal power consumption reported by the power monitoring module is found, it will be recorded and an early warning will be sent to the corresponding on-duty operation and maintenance personnel. The relevant power supply will be remotely shut down through the live broadcast management center, and the camera will be called to take a screenshot of the on-site environment. If no relevant personnel activities are found through AI human body detection, the AI ​​human body detection will be performed again after the preset time. If no personnel activities are found twice, the live broadcast management center will automatically issue a control command to shut down the power supply of the relevant live broadcast room (the priority of the operation and maintenance personnel to intervene in the shutdown is higher than the system's self-detection); Abnormal power consumption during the operation period when no broadcasting is started: When there is no scheduling information in the live broadcast room, the power monitoring modules of the camera group and the lighting group (which can be damaged and power-consumption-free and can be configured by yourself) are detected to see if there is any power consumption behavior. At the same time, the camera is called to take a screenshot of the on-site environment. Through the AI ​​human body detection (not in the live broadcast but there are maintenance personnel debugging the live broadcast room), if no human activity is found and the start time of the next live broadcast is greater than the preset time (such as 30 seconds), the live broadcast management center automatically issues a control command to shut down the power supply of the relevant live broadcast room; Abnormal power consumption during the operation period: The power usage of each power monitoring module in the past month is counted to obtain an average value. If the power consumption during the live broadcast exceeds the average value by 20% or more, an automatic warning will be issued. The operator can quickly find out which power monitoring module in the specific live broadcast room is abnormal (electrical equipment failure) through the live broadcast management center and intervene.

[0055] In addition, the AI ​​human body detection used in step S3 is specifically: The video image stream is obtained by a camera installed in the live broadcast room, and the camera transmits the real-time collected image data to the device or server where the AI ​​human detection module is located; the collected image is subjected to operations including format conversion and size adjustment to make it meet the input requirements of the AI ​​human detection model, and the image is enhanced including noise removal, brightness and contrast adjustment; the pre-trained AI human detection model is loaded, and the pre-processed image is input into the AI ​​human detection model, and the model extracts and analyzes the image through the convolutional neural network CNN algorithm; the AI ​​human detection model searches for human features in the image, predicts the position and posture of the human body, and generates a detection result containing position information and confidence score for each detected human body; the detection results are screened according to the set confidence threshold, and the valid human detection results with confidence scores higher than the threshold are retained, and the non-maximum suppression operation is performed on the screened detection results to remove redundant detection frames with high overlap to obtain the final human detection result; the final human detection result including human position, number, and confidence is output to the live broadcast management center, so as to decide whether to take corresponding power control measures according to whether human activities are detected.

[0056] Specific technical solutions are as follows: (1) Image acquisition and transmission Image acquisition: Install a camera in the live broadcast room, which is responsible for acquiring the video image stream. The choice of camera is crucial, and its resolution, frame rate, viewing angle and other parameters will affect the subsequent detection effect. For example, a high-resolution camera (such as 1080p and above) can capture clearer human details, a higher frame rate (such as 30fps and above) can ensure the continuity of the image, and a suitable viewing angle can cover the key areas of the live broadcast room.

[0057] Data transmission: The camera transmits the real-time collected image data to the device or server where the AI ​​human body detection module is located. The transmission method can be wired (such as through Ethernet cable) or wireless (such as Wi-Fi). During the transmission process, it is necessary to ensure the stability and timeliness of the data, avoid packet loss or excessive delay, so as to ensure the accuracy and real-time performance of the detection.

[0058] (2) Image preprocessing Format and resize: Perform format conversion and resize operations on the captured images. Different cameras may output images in different formats (such as JPEG, PNG, RAW, etc.), and the AI ​​human detection model may only accept input in a specific format. For example, images are usually converted to a format supported by the model (such as the common JPEG format). At the same time, in order to meet the input requirements of the model, the image size needs to be adjusted to an appropriate size (such as the common 224×224 pixels or other sizes specified by the model).

[0059] Image enhancement: Perform enhancement processing such as noise removal, brightness and contrast adjustment, etc.

[0060] Noise removal: During the image acquisition process, noise may be generated due to factors such as ambient light and electronic components. Filtering techniques (such as Gaussian filtering and median filtering) can be used to remove noise. For example, Gaussian filtering reduces the impact of noise on the image by performing a weighted average calculation on each pixel in the image and its neighborhood.

[0061] Brightness and contrast adjustment: According to the actual situation of the image, the brightness and contrast can be adjusted to make the human features more obvious. For example, through the histogram equalization method, the brightness distribution of the image can be made more uniform, thereby highlighting the difference between the human body and the background and improving the accuracy of detection.

[0062] (3) Model loading and testing Model loading: Load pre-trained AI human body detection models from storage devices (such as local hard disks, cloud storage, etc.). These models are usually trained based on a large amount of labeled data and have the ability to recognize human features. During the loading process, ensure the integrity and correctness of the model, and allocate sufficient memory and computing resources to the model so that it can run efficiently.

[0063] Feature extraction and analysis: The preprocessed image is input into the AI ​​human body detection model, and the model uses the convolutional neural network (CNN) algorithm to extract and analyze the features of the image. CNN automatically learns the features in the image through multiple convolutional layers, pooling layers, and fully connected layers. For example, the convolutional layer slides the convolution kernel on the image to extract features at different levels (such as edges, textures, etc.), the pooling layer downsamples the features to reduce the amount of data and retain the main features, and the fully connected layer is used for the final classification and positioning.

[0064] Human detection and result generation: The model searches for human features in the image, predicts the position and posture of the human body, and generates a detection result for each detected human body, which contains the position information (such as the bounding box coordinates) and the confidence score. The confidence score represents the model's assessment of the accuracy of the detection result, and the value range is usually between 0 and 1. The higher the score, the greater the possibility of detecting a human body.

[0065] (4) Post-processing of test results Confidence-based screening: The detection results are screened according to the set confidence threshold, and only valid human detection results with confidence scores higher than the threshold are retained. For example, if the confidence threshold is set to 0.5, only detection boxes with scores greater than 0.5 will be considered valid human detection results. This step can reduce false detections.

[0066] Non-maximum suppression (NMS): Perform non-maximum suppression on the filtered detection results to remove redundant detection frames with high overlap. The basic principle of NMS is to select the frame with the highest confidence from all detection frames, and then calculate the overlap between other frames and the frame (usually measured by intersection over union, or IoU). If the overlap is greater than a certain threshold (such as 0.5), these frames are suppressed. Through the NMS operation, a more accurate and concise final human detection result can be obtained.

[0067] (5) Result output and application Result output: The final human detection results (including human position, number, confidence, etc.) are output to the live broadcast management center. These results are transmitted in a structured data format (such as JSON format) to facilitate the live broadcast management center to parse and process.

[0068] Power control decision: The live broadcast management center decides whether to take corresponding power control measures based on whether human activity is detected (i.e., based on human body detection results). For example, during non-operating hours, if no human activity is detected in the live broadcast room and other preset conditions are met (such as abnormal power consumption), the power monitoring module can be remotely controlled to shut down the live broadcast room equipment to save energy and ensure equipment safety.

[0069] In addition, for AI human body detection, you can also directly use existing technical solutions. For example, you can directly use Alibaba Cloud's human body detection service: (1) Image acquisition and transmission Install a camera in the live broadcast room to obtain the video image stream. The camera selection must meet the input requirements of Alibaba Cloud's human body detection service. For example, parameters such as resolution and frame rate should ensure that the collected images are suitable for human body detection. Then transmit the real-time collected image data to a device or server that has the ability to call the Alibaba Cloud human body detection interface. The transmission process must ensure the stability and timeliness of the data. You can choose a suitable network communication method according to the actual situation, such as Ethernet or Wi-Fi, etc. At the same time, pay attention to the security of data transmission to prevent the image data from being stolen or tampered with.

[0070] (2) Image preprocessing (adapting to Alibaba Cloud service requirements) The collected images are preprocessed to fully meet the input restrictions of the Alibaba Cloud human detection interface. This includes format conversion, converting the images to JPEG, JPG, PNG or BMP formats; resizing to ensure that the image resolution is greater than 32×32 pixels and less than 2000×2000 pixels, and the longest side is less than 2000 pixels. If the image resolution does not meet the requirements, adjust it according to the image scaling method provided by Alibaba Cloud; at the same time, perform enhancement processing such as noise removal, brightness and contrast adjustment to improve image quality and make human features more obvious, which is convenient for subsequent detection and analysis.

[0071] (3) Calling Alibaba Cloud Human Detection Service Developers follow the access guide provided by Alibaba Cloud. First, register an Alibaba Cloud account, activate the face and body service, and create an AccessKey (if using a sub-account AccessKey, you need to grant AliyunVIAPIFullAccess permissions). Then during the development process, according to the selected programming language, find the corresponding AI category in the SDK Overview for the face and body SDK package and install it. Refer to the sample code provided by Alibaba Cloud, make appropriate modifications based on the actual needs of the live broadcast room, and call the human body detection interface DetectPedestrian. When calling, pass the pre-processed image URL address (must meet Alibaba Cloud requirements, such as recommending the use of OSS links in the Shanghai region, if it is a local file or non-Shanghai region OSS link needs to be processed accordingly, and the URL address cannot contain Chinese characters) as the ImageURL parameter to the interface.

[0072] (4) Processing and application of test results Alibaba Cloud human detection service returns data including request ID, image height, width, and human detection frame set. After receiving the returned data, the detection results are filtered according to the set confidence threshold, and valid human detection results with confidence scores higher than the threshold (for example, 0.5 and above) are retained. Then, the non-maximum suppression operation is performed on the filtered detection results to remove redundant detection frames with high overlap, and finally accurate and concise human detection results are obtained, including human position, number, confidence and other information. Finally, these final human detection results are output to the live broadcast management center, which decides whether to take corresponding power control measures based on whether human activities are detected. For example, during non-operating periods, if no human activities are detected in the live broadcast room and other preset conditions (such as abnormal power consumption) are met, the power monitoring module can be remotely controlled to shut down the live broadcast room equipment, realize intelligent equipment management, and improve energy utilization efficiency and equipment safety.

[0073] Second embodiment like Figure 3 As shown, this embodiment provides a live broadcast room hardware control system for executing the live broadcast room hardware control method as described above, including: The power monitoring module access module 1 is used to customize the live broadcast room equipment and connect them to different power monitoring modules in groups. At the same time, the power monitoring modules are connected to the company's power grid to supply power to the live broadcast room equipment in the corresponding group; The power monitoring module remote control module 2 is used to provide the power monitoring module with a connection to the live broadcast management platform through the network, register as a virtual device group and include it in a virtual live broadcast room scene, and remotely control the power monitoring module on the live broadcast management platform to realize the power switch of the live broadcast room device; The abnormal power usage analysis module 3 is used to map the live broadcast room schedule list into the live broadcast room virtual usage time period, and perform abnormal power usage analysis in combination with the device information of the virtual device group and the live broadcast room virtual usage time period.

[0074] A computer-readable storage medium stores computer code. When the computer code is executed, the above method is executed. A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program. The program can be stored in a computer-readable storage medium. The storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0075] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

[0076] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0077] It should be noted that the above embodiments can be freely combined as needed. The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention.

Claims

1. A method for hardware management and control of a live broadcast room, characterized in that: The following steps are involved: S1: After the live broadcast room devices are customized and grouped, they are connected to different power monitoring modules, and at the same time, the power monitoring modules are connected to the company's power grid to supply power to the live broadcast room devices in the corresponding groups; S2: The power monitoring module is connected to the live broadcast management platform through the network, registered as a virtual device group and included in a virtual live broadcast room scene, and the power monitoring module is remotely controlled on the live broadcast management platform to turn on and off the power of the live broadcast room device; S3: Mapping the live broadcast room schedule list into a virtual usage time period of the live broadcast room, and analyzing abnormal power usage in combination with the device information of the virtual device group and the virtual usage time period of the live broadcast room.

2. The live broadcast room hardware management and control method according to claim 1, characterized in that: In step S1, after the live studio equipment is customized, it is grouped and connected to different power monitoring modules. At the same time, the power monitoring modules are connected to the company's power grid to power the live studio equipment in the corresponding group, specifically: According to the factors including the function, power consumption and usage frequency of the live broadcast room equipment, a reasonable grouping strategy is set to perform custom grouping combination of the live broadcast room equipment; According to the power requirements and interface types of the equipment grouping in the live broadcast room, a suitable power monitoring module is selected. Each power monitoring module has multiple power output interfaces, which are connected to one or more of the live broadcast room devices. The selected power monitoring module is deployed at a suitable location in the live broadcast room and connected to the company's power grid through a power cord.

3. The live broadcast room hardware management and control method according to claim 1, characterized in that: In step S1, the power monitoring module is specifically: The power monitoring module includes reporting the power usage of the connected live broadcast room equipment and remotely shutting down the connected live broadcast room equipment in a unified manner; Among them, the power usage of the live broadcast room equipment reported is: When the connected live broadcast room equipment is powered on, the current transformer and voltage transformer in the power monitoring module sense the current and voltage of the equipment in real time during operation. The current transformer converts the large current in the main circuit into a small current signal in proportion, and the voltage transformer converts the high voltage into a low voltage signal suitable for measurement. The collected small current signal and the low voltage signal enter the signal conditioning circuit, the amplification link in the signal conditioning circuit amplifies the signal to a suitable amplitude, the filtering link removes the noise and interference components in the signal, and the analog signal after amplification and filtering is converted into a digital signal through a digital-to-analog conversion circuit; After receiving the current and voltage signals in digital form, the microcontroller calculates the real-time power of the connected live broadcast room equipment at preset time intervals, and obtains the cumulative value of the power consumption of the equipment over a period of time, that is, the power consumption, by integrating the real-time power obtained by continuous calculation. At the same time, the microcontroller stores the power and power consumption data calculated each time, and records them in the internal memory in chronological order for subsequent query and analysis; The live broadcast room devices that are remotely closed for access are: When the device shutdown condition is met, the live broadcast management center generates a control instruction for remotely shutting down the device, and the instruction includes identification information of the live broadcast room device group, so that the power monitoring module can accurately identify the live broadcast room device to be shut down; The control instruction is sent to the corresponding power monitoring module through network communication. After receiving the control instruction for shutting down the live broadcast room equipment, the power monitoring module parses the control instruction and extracts the identification information of the live broadcast room equipment group; According to the identification information obtained by analysis, the control circuit inside the power supply monitoring module drives the corresponding relay or electronic switch to operate.

4. The live broadcast room hardware management and control method according to claim 1, characterized in that: In step S2, the power monitoring module is connected to the live broadcast management platform through the network, registered as a virtual device group and included in a virtual live broadcast room scene, and the power monitoring module is remotely controlled on the live broadcast management platform to realize the power switch of the live broadcast room device, specifically: After the power monitoring module is connected to the company power grid and connected to the live broadcast room equipment, an initialization operation is performed. The power monitoring module establishes a connection with the live broadcast management center through network communication, and sends the registration information including the ID and model of the power monitoring module and the connected live broadcast room equipment to the live broadcast management center. The live broadcast management center receives the registration information and verifies and records it, and incorporates the power monitoring module into the management system; A virtual device group corresponding to the power monitoring module is created on the live broadcast management platform, the virtual device group includes basic information of the power monitoring module, and a unique virtual device group ID is assigned to it. At the same time, according to the configuration rules of the live broadcast room, the virtual device group is classified into a specific virtual live broadcast room scene. The live broadcast management platform maps the live broadcast room device group managed by the power monitoring module to a specific scene instance according to the definition of the template of the virtual live broadcast room scene; The live broadcast management center provides a visualization interface, on which the layout and status information of each live broadcast room device are displayed in the form of the virtual live broadcast room scene, and the control operation of the device power is triggered by clicking the device icon on the visualization interface.

5. The live broadcast room hardware management and control method according to claim 1, characterized in that: In step S2, it also includes: remotely adjusting the brightness and tone of the lighting equipment, specifically: The power monitoring module identifies and configures the connected lighting device, obtains information including model and functional characteristics, and establishes a device configuration file; Setting brightness and hue parameters on the operation interface of the live broadcast management platform; The live broadcast management center generates an adjustment instruction including the target lighting equipment identification, brightness value, tone parameters and related control information according to the settings, and sends the adjustment instruction to the corresponding power supply monitoring module through network communication; The power monitoring module receives the adjustment instruction sent by the live broadcast management center, parses the adjustment instruction, extracts the target lighting equipment identification, brightness parameters, and hue parameters, and verifies the legality and validity of the instruction; According to the analyzed brightness parameters and hue parameters, the power monitoring module converts them into driving signals suitable for the lighting device, sends the driving signals to the lighting device, and the internal circuit of the lighting device adjusts the light-emitting element parameters according to the signals to achieve brightness and hue adjustment.

6. The live broadcast room hardware management and control method according to claim 1, characterized in that: In step S3, the live broadcast room schedule list is mapped into the live broadcast room virtual usage time period, and the abnormal power usage analysis is performed in combination with the device information of the virtual device group and the live broadcast room virtual usage time period, specifically: Abnormal power consumption during non-operating hours: In the non-operating period, if the abnormal power consumption reported by the power monitoring module is found, it will be recorded and an early warning will be sent to the corresponding on-duty operation and maintenance personnel. The relevant power supply will be remotely shut down through the live broadcast management center, and the camera will be called to take a screenshot of the on-site environment. If no relevant personnel activities are found through AI human body detection, the AI ​​human body detection will be performed again after a preset time. If no personnel activities are found twice, the live broadcast management center will automatically issue a control command to shut down the power supply of the relevant live broadcast room; Abnormal power consumption during the operation period when no broadcasting is started: When there is no scheduling information in the live broadcast room, the power monitoring modules of the camera group and the lighting group are detected to see if they are consuming power. At the same time, the camera is called to take screenshots of the on-site environment. Through the AI ​​human body detection, if no human activity is found and the next live broadcast start time is greater than the preset time, the live broadcast management center automatically issues a control command to shut down the power supply of the relevant live broadcast room; Abnormal power consumption during the operation period: The power usage of each power monitoring module in the past month is counted to obtain an average value. If the power consumption during the live broadcast exceeds the average value by 20% or more, an automatic warning will be issued. The operator can quickly find out which power monitoring module in the specific live broadcast room is abnormal through the live broadcast management center and intervene.

7. The live broadcast room hardware management and control method according to claim 6, characterized in that: The AI ​​human body detection is specifically: The video image stream is obtained by the camera installed in the live broadcast room, and the camera transmits the real-time collected image data to the device or server where the AI ​​human body detection module is located; Perform operations such as format conversion and size adjustment on the collected images to make them meet the input requirements of the AI ​​human body detection model, and perform image enhancement processing such as noise removal, brightness and contrast adjustment; Load the pre-trained AI human body detection model, input the pre-processed image into the AI ​​human body detection model, and the model extracts and analyzes the image features through the convolutional neural network (CNN) algorithm; The AI ​​human detection model searches for human features in the image, predicts the position and posture of the human body, and generates a detection result including position information and confidence score for each detected human body; The detection results are screened according to the set confidence threshold, and the valid human detection results with confidence scores higher than the threshold are retained. The non-maximum suppression operation is performed on the screened detection results to remove redundant detection frames with high overlap, and the final human detection results are obtained; The final human body detection results including human body position, number, and confidence level are output to the live broadcast management center so as to decide whether to take corresponding power control measures based on whether human activity is detected.

8. A live studio hardware control system for executing the live studio hardware control method according to any one of claims 1 to 7, characterized in that: include: The power supply monitoring module access module is used to customize the live broadcast room equipment and connect them to different power supply monitoring modules in groups. At the same time, the power supply monitoring modules are connected to the company's power grid to supply power to the live broadcast room equipment in the corresponding group; A power monitoring module remote control module is used to provide the power monitoring module with a connection to the live broadcast management platform through the network, register as a virtual device group and include it in a virtual live broadcast room scene, and remotely control the power monitoring module on the live broadcast management platform to realize the power switch of the live broadcast room device; The abnormal power usage analysis module is used to map the live broadcast room schedule list into the virtual usage time period of the live broadcast room, and perform abnormal power usage analysis in combination with the device information of the virtual device group and the virtual usage time period of the live broadcast room.

9. A computer device comprising a memory and one or more processors, wherein the memory stores computer codes, and when the computer codes are executed by the one or more processors, the one or more processors execute the method according to any one of claims 1 to 7. 10 . A computer-readable storage medium storing a computer code. When the computer code is executed, the method according to claim 1 is executed.

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