An environment control method and control device of an intelligent cabin, and a wisdom cabin

Abstract

The application provides an environment control method of a smart cabin, the smart cabin comprising a cabin body, the cabin body enclosing a cabin space, a display device being arranged on a wall surface of the cabin body, and a temperature control unit being arranged in the cabin space; the environment control method comprising: acquiring a current working mode of the smart cabin; controlling the temperature control unit to operate in an energy efficiency strategy corresponding to the working mode; wherein the working mode comprises at least one of a retail mode and a performance mode; in the retail mode, the temperature control unit is controlled to operate in a first energy efficiency strategy to preferentially guarantee the environmental parameters of a goods storage area in the cabin space; in the performance mode, the temperature control unit is controlled to operate in a second energy efficiency strategy to preferentially guarantee the environmental parameters of the wall surface of the cabin body. Therefore, the application can improve the efficiency and quality of environment control.

Description

Technical Field

[0001] This disclosure relates to the fields of embodied smart retail and spatial smart technology, and in particular to an environmental control method, control device and smart cabin for a smart cabin. Background Technology

[0002] With the integration of embodied intelligent technology and offline commercial spaces, embodied robots are increasingly being used in retail picking, interactive displays, and traffic-driving performances. Meanwhile, intelligent retail pods, due to their ease of deployment and high mobility, are gradually becoming important carriers for unmanned retail and commercial displays in shopping districts, cultural and tourism scenic spots, and other similar settings. In actual operation, intelligent retail pods need to operate outdoors around the clock. Ensuring the continuous and reliable operation of these devices under complex outdoor weather conditions is the core issue in expanding the deployment scope of intelligent retail pods.

[0003] However, in related technologies, the cabin of smart retail pods mostly adopts a rectangular structure and uses conventional air conditioning to perform single environmental control of temperature and humidity. When smart retail pods are combined with embodied robots, the cabin contains a variety of temperature and humidity sensitive devices such as embodied robots. The current single environmental control method is difficult to meet the needs of fine temperature and humidity control in this scenario. Therefore, it often needs to rely on manual inspection and manual adjustment, which reduces the efficiency and quality of environmental control. Summary of the Invention

[0004] The main objective of this disclosure is to propose an environmental control method, control device, and intelligent cabin for intelligent cabins, which can improve the efficiency and quality of environmental control.

[0005] To achieve the above objectives, a first aspect of this disclosure provides an environmental control method for an intelligent cabin, which is applied in an intelligent cabin. The intelligent cabin includes a cabin body that encloses an interior space. A display device is provided on the wall of the cabin body, and a temperature control unit is provided in the interior space. The environmental control method includes: Obtain the current operating mode of the intelligent cabin; According to the operating mode, the temperature control unit is controlled to operate with an energy efficiency strategy corresponding to the operating mode; The operating mode includes at least one of a retail mode and a performance mode; in the retail mode, the temperature control unit is controlled to operate with a first energy efficiency strategy to prioritize the environmental parameters of the cargo storage area in the cabin; in the performance mode, the temperature control unit is controlled to operate with a second energy efficiency strategy to prioritize the environmental parameters of the cabin wall side.

[0006] In some embodiments, the cabin space includes, from the inside out, a hub layer, an arc-shaped working layer surrounding the hub layer, a window ring layer surrounding the arc-shaped working layer, and a curtain wall layer located on the cabin wall. The temperature control unit supplies air to the cabin space in zones through a zoned temperature control duct system. The zoned temperature control duct system includes a main duct and several radial branch pipes connected to the main duct. The step of controlling the temperature control unit to operate with an energy efficiency strategy corresponding to the operating mode includes: When the operating mode is the retail mode, the temperature control unit is controlled to preferentially supply air to the arc-shaped working layer and / or the window ring layer; When the operating mode is the performance mode, the temperature control unit is controlled to prioritize air supply to the curtain wall layer.

[0007] In some embodiments, the arc-shaped working layer is divided into multiple arc segments in the circumferential direction, each radial branch extends to the corresponding arc segment, each radial branch is provided with an adjustable air valve, and each arc segment is provided with a microenvironment ventilation shaft. The control of the temperature control unit to preferentially supply air to the arc-shaped working layer and / or the window ring layer includes: Obtain the load status information of the embodied robot within each arc segment; Based on the load status information of the embodied robot, the opening degree of each adjustable air valve and the air supply parameters of the microenvironment ventilation shaft corresponding to each arc segment are adjusted respectively.

[0008] In some embodiments, adjusting the opening degree of each adjustable air valve and the air supply parameters of the microenvironment ventilation shaft corresponding to each arc segment according to the load state information of the android includes: Temperature and humidity distribution data for each area of ​​the cabin space are collected by a temperature and humidity sensing grid arranged in the cabin space. The temperature of the back panel of the display device is collected by a temperature sensor disposed on the back panel of the display device. The temperature of the android is collected by a cabin temperature telemetry module installed inside the android cabin. The android temperature includes the battery temperature and / or the servo driver temperature. Based on the temperature and humidity distribution data, the back panel temperature, the robot temperature, and the robot load status information, the opening degree of each adjustable air valve and the air supply parameters of the microenvironment ventilation shaft corresponding to each arc segment are comprehensively adjusted.

[0009] In some embodiments, the display device includes a transparent grid screen disposed on the wall of the cabin and / or an annular display screen disposed on the top of the cabin. The transparent grid screen is provided with a first independent heat dissipation channel, and the annular display screen is provided with a second independent heat dissipation channel. Both the first independent heat dissipation channel and the second independent heat dissipation channel are isolated from the main airflow of the cabin space. The step of controlling the temperature control unit to operate according to the operating mode in an energy efficiency strategy corresponding to the operating mode further includes: Obtain the display temperature information of the transparent grid screen and / or the ring display screen; When the displayed temperature exceeds a preset temperature threshold, the corresponding first independent heat dissipation channel and / or second independent heat dissipation channel are controlled to start heat dissipation.

[0010] In some embodiments, the first independent heat dissipation channel exhausts hot air to the outside of the cabin through a heat exhaust fan disposed on the back panel of the transparent grille screen, and an airflow isolation structure is provided between the air intake side of the heat exhaust fan and the main air duct; the second independent heat dissipation channel exhausts hot air upward or to the side.

[0011] In some embodiments, a condensation monitoring module and a heating and anti-fog module are provided on the inner side of the cabin wall; The step of controlling the temperature control unit to operate according to the operating mode in an energy efficiency strategy corresponding to the operating mode further includes: Obtain the wall temperature information and / or wall humidity information of the inner side of the cabin wall; When the temperature on the inner side of the cabin wall is determined to be lower than the dew point temperature and / or the humidity exceeds the preset condensation threshold based on the wall temperature information and / or the wall humidity information, the heating and anti-fog module is controlled to start heating and / or the temperature control unit is controlled to start dehumidification mode.

[0012] In some embodiments, before obtaining the current operating mode of the smart cabin, the method further includes: Obtain the external environmental parameters of the intelligent cabin; The external environmental parameters are used to determine whether the preset extreme environmental conditions are met. The preset extreme environmental conditions include the temperature in the external environmental parameters being lower than a first preset temperature threshold or higher than a second preset temperature threshold. When the extreme environmental conditions are met, the temperature control unit is controlled to perform a pre-start process at a preset target temperature until the temperature of the cabin space reaches the preset safe operating range. The step of obtaining the current operating mode of the smart cabin is prohibited until the temperature inside the cabin reaches the safe operating range.

[0013] To achieve the above objectives, a second aspect of this disclosure provides a smart cabin, comprising: The cabin body encloses and forms an interior space, and a display device is installed on the wall of the cabin body; A temperature control unit is installed in the cabin space; The control unit is communicatively connected to the temperature control unit; The control unit is used to obtain the current working mode of the smart cabin and control the temperature control unit to operate according to the working mode in an energy efficiency strategy corresponding to the working mode. The operating mode includes at least one of a retail mode and a performance mode; in the retail mode, the control unit controls the temperature control unit to operate with a first energy efficiency strategy to prioritize the environmental parameters of the cargo storage area in the cabin; in the performance mode, the control unit controls the temperature control unit to operate with a second energy efficiency strategy to prioritize the environmental parameters of the cabin wall side.

[0014] To achieve the above objectives, a third aspect of this disclosure provides an environmental control device for an intelligent cabin, the intelligent cabin environmental control device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the intelligent cabin environmental control method described in the first aspect embodiment.

[0015] To achieve the above objectives, a fourth aspect of this disclosure provides a storage medium, which is a computer-readable storage medium storing a computer program that, when executed by a processor, implements the environmental control method for the intelligent cabin described in the first aspect of the embodiment.

[0016] The beneficial effects of the embodiments disclosed herein include: By automatically acquiring the current operating mode of the intelligent cabin, the temperature control unit is automatically scheduled to switch to the corresponding energy efficiency strategy. No manual inspection or parameter adjustment is required throughout the process, achieving automated and adaptive environmental control, effectively improving the execution efficiency of environmental control. Simultaneously, differentiated regional priority protection rules are set for the core temperature control requirements of different operating scenarios. In retail mode, the first energy efficiency strategy is implemented, prioritizing the stability of environmental parameters in the goods storage area, accurately matching the temperature and humidity control requirements of goods storage in retail scenarios, avoiding the problem of substandard environmental parameters in the storage area under a single uniform temperature mode. In performance mode, the second energy efficiency strategy is implemented, prioritizing the compliance of environmental parameters on the cabin walls, fully adapting to the high-load heat generation of wall display devices and the temperature control needs of the robot's activity area in performance scenarios, ensuring the stable and reliable operation of various temperature-sensitive devices. This accurately covers the differentiated environmental needs under different operating conditions and achieves fully automated strategy switching without manual intervention, ultimately improving the efficiency and quality of intelligent cabin environmental control. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the smart cabin application environment provided in the embodiments of this disclosure; Figure 2 This is a schematic diagram of the spatial division of the smart cabin provided in an embodiment of this disclosure; Figure 3 This is a schematic diagram of the planar area division of the smart cabin provided in an embodiment of this disclosure; Figure 4 This is a schematic diagram of the multi-layer partitioning of the smart cabin provided in the embodiments of this disclosure; Figure 5 This is a plan view of the temperature control unit provided in the embodiments of this disclosure; Figure 6 This is a partial schematic diagram of heat dissipation in the cabin space provided in an embodiment of this disclosure; Figure 7 This is a schematic diagram of the dual heat dissipation channel area provided in an embodiment of this disclosure; Figure 8 This is a flowchart illustrating the environmental control method for an intelligent cabin provided in an embodiment of this disclosure; Figure 9 This is a schematic diagram of the hardware structure of the environmental control device for the smart cabin provided in this embodiment.

[0018] Figure label: Intelligent cabin 100; cabin body 110; cabin interior space 120; sales window 130; entrance / exit 140; transparent grid screen 151; circular display screen 152; shelf 160; apron performance area 170; multiple apron sector areas 171; human-machine isolation zone 172; outdoor customer area 173; main air duct 181; radial branch pipe 182; adjustable air valve 183; microenvironment ventilation shaft 184; heat exhaust fan 191; first external exhaust air duct 192; second external exhaust air duct 193; hub layer L0; arc segment operation layer L1; window ring layer L2; curtain wall layer L3; Body-bound robot 200. Detailed Implementation

[0019] The accompanying drawings in the embodiments clearly and completely describe the technical solutions in the embodiments of this disclosure. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments in this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0020] It is understood that in the specific embodiments of this disclosure, which involve retrieving the working mode of the intelligent cabin, the operation data of the embodied robot, related control commands, sensor data and related data, when the above embodiments of this disclosure are applied to specific products or technologies, permission or consent can be obtained from the subject, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards.

[0021] Furthermore, when the embodiments of this disclosure require access to the working mode of the intelligent cabin, the operational data of the avatar robot, related control commands, sensor data, and related data, separate permission or consent to the working mode of the intelligent cabin, the operational data of the avatar robot, related control commands, sensor data, and related data can be obtained through pop-up windows or redirection to a confirmation page. After clearly obtaining separate permission or consent to the working mode of the intelligent cabin, the operational data of the avatar robot, related control commands, sensor data, and related data, the necessary working mode of the intelligent cabin, the operational data of the avatar robot, related control commands, sensor data, and related data for the normal operation of the embodiments of this disclosure are then obtained.

[0022] In this disclosure, the terms "module" or "unit" refer to a computer program or part of a computer program that has a predetermined function and works with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.

[0023] Please see Figures 1 to 7 , Figure 1 This is a schematic diagram of the smart cabin application environment provided in the embodiments of this disclosure. Figure 2 This is a schematic diagram of the spatial division of the smart cabin provided in an embodiment of this disclosure. Figure 3 This is a schematic diagram of the planar area division of the intelligent cabin provided in an embodiment of this disclosure. Figure 4 This is a schematic diagram of the multi-layer partitioning of the smart cabin provided in the embodiments of this disclosure. Figure 5 This is a plan view of the temperature control unit provided in the embodiments of this disclosure. Figure 6 This is a partial schematic diagram of heat dissipation in the cabin space provided in an embodiment of this disclosure. Figure 7 This is a schematic diagram of the dual heat dissipation channel area provided in an embodiment of this disclosure.

[0024] The intelligent cabin 100 includes a cabin body 110, which encloses an interior space 120. The interior space 120 can accommodate several avatar robots 200. The figure exemplarily shows three avatar robots 200. Display devices are installed on the walls of the cabin body 110. Several sales windows 130 and at least one entrance / exit 140 for the avatar robots 200 to pass through are also located on the walls of the cabin body 110. The intelligent cabin 100 is an intelligent retail cabin. The areas on the walls other than the sales windows 130 and entrance / exit 140 are equipped with display devices for displaying product information, live operation or performance of the avatar robots, etc., to customers outside the cabin. The intelligent cabin 100 also includes several shelves 160 located within the interior space 120, with the shelves 160 corresponding to the sales windows 130. A temperature control unit is installed in the interior space 120 to regulate and control the temperature and / or humidity of the interior space 120. The intelligent cabin 100 also includes a control unit (not shown in the figure), which is connected in communication with the temperature control unit to control the operating status of the temperature control unit.

[0025] It should be noted that in the field of embodied intelligent retail and commercial display technology, intelligent retail cabins typically employ a rectangular structure combined with conventional air conditioning for single-mode environmental control. However, in the new form of intelligent retail cabins integrated with embodied robots, the cabin houses various temperature and humidity-sensitive devices, including embodied robots. Current single-mode environmental control methods are insufficient to meet the refined temperature and humidity control requirements in this scenario. Conventional air conditioning systems usually employ a uniform airflow throughout the entire space, meaning that regardless of the layout and heat dissipation characteristics of the equipment within the cabin, the same airflow and temperature are supplied to the entire cabin space. This one-size-fits-all temperature control method leads to excessively high temperatures in high-load operating areas for embodied robots, difficulty in heat dissipation for wall-mounted display devices, and large temperature and humidity fluctuations in goods storage areas. Furthermore, it lacks a linkage mechanism with the operational mode, employing the same environmental control strategy in both performance and retail modes, resulting in energy waste or insufficient environmental protection. This disclosure addresses the above-mentioned technical deficiencies by providing an environmental control method, control device, and intelligent cabin for intelligent cabins, which can improve the efficiency and quality of environmental control. A detailed description follows.

[0026] Furthermore, the cabin body 110 of the intelligent cabin 100 can be constructed from a glass curtain wall; therefore, both the wall and the cabin body 110 can be referred to as the curtain wall layer, which is a transparent structure. The display device may include a transparent grid screen 151 disposed on the wall of the cabin body 110 and / or a ring-shaped display screen 152 disposed on the top of the cabin body 110. The transparent grid screen 151 is used to dynamically display product information, live operation or performance of the embodied robot, temperature information, and other content on the wall. In this embodiment, the transparent grille screen 151 can be installed behind the glass curtain wall, that is, behind the curtain wall layer. Customers can observe the display content of the transparent grille screen 151 through the curtain wall layer on the surface of the cabin 110. The area of ​​the transparent grille screen 151 can be set according to actual needs. For example, the transparent grille screen 151 can be installed in most or all areas behind the curtain wall layer, or the transparent grille screen 151 can be installed in a part of the area visible to customers. This embodiment does not impose specific limitations on this. The circular display screen 152 is used to present immersive visual information such as digital human performance content on the top of the cabin 110, and can also display temperature information. The two together constitute the information display system of the cabin wall.

[0027] Furthermore, an apron performance area 170 (R-apron) is set up around the cabin 110 in the external space. The apron performance area 170 is divided into multiple apron sectors 171. An angle mapping relationship is established between each entrance 140 and an apron sector 171, so that after the embodied robot 200 moves out of the cabin space 120 through the entrance 140, it can directly enter the corresponding apron sector 171 to perform the outboard performance operation.

[0028] It should be noted that the embodied robot 200 can be any embodied intelligent robot, which can be a humanoid robot with capabilities such as autonomous movement, item picking, human-computer interaction, and performance actions. In addition, this embodiment can also set up various different types of embodied robots 200 to meet different needs, such as meeting the special needs of retail or performance; this embodiment does not impose specific limitations on this.

[0029] Furthermore, the embodied robot 200 may be equipped with a receiving module and a working control module. The receiving module is used to receive data from the smart cabin 100 in the system, and the working control module is used to perform corresponding operations based on the received data. This embodiment does not impose specific limitations on this.

[0030] In some embodiments of this disclosure, the intelligent cabin 100 further includes a spatial coding module (not shown in the figure). This module is used to establish and maintain a concentric annular spatial model of the cabin space 120. This concentric annular spatial model includes at least: a hub layer L0 located at the geometric center of the cabin 110; an arc-shaped working layer L1 surrounding the hub layer L0; a window ring layer L2 surrounding the arc-shaped working layer L1; and a curtain wall layer L3 located on the walls of the cabin 110. These four layers are arranged sequentially from the inside out, forming a multi-layered spatial topology model. The outer skirt area R-apron can also serve as a fifth layer. Wherein: The hub layer L0 is located at the geometric center of the cabin 110 and is the core traffic area of ​​the cabin space 120. It is mainly used for the embodied robot 200 to perform radial traversal and turning maneuvers within the cabin space 120. The arc segment operation layer L1 surrounds the hub layer L0 and is divided into multiple arc segments in the circumferential direction. For example, the arc segment operation layer L1 in the figure can be divided into 8 arc segments at equal angles, with each arc segment corresponding to an angle range. The window ring layer L2 is located on the periphery of the arc segment operation layer L1, and sales windows 130 are opened in the circumferential direction corresponding to the positions of each arc segment. The curtain wall layer L3 is the wall structure of the cabin 110 and is made of transparent glass curtain wall, such as LOW-E glass. Transparent grid screens 151 are set on the curtain wall layer L3 in areas other than where sales windows 130 and entrances / exits 140 are located.

[0031] Furthermore, a one-to-one four-element binding relationship is established between each arc segment and an embodied robot 200, a sales window 130, and a shelf 160. Specifically, for the i-th arc segment ARC... i Its binding relationships include: embodied robot R i Window W i Shelf area S i and the angle interval θ iAmong them, the embodied robot R i The embodied robot 200 corresponding to this arc segment is responsible for performing tasks such as picking, replenishing, and performing in-cabin shows within this arc segment; Window W i Sales window 130 corresponds to this arc segment, through which customers place orders and pick up their goods; shelf area S i Shelf 160 corresponds to this arc segment and stores the corresponding product inventory; angle range θ i This refers to the angular range of the arc segment in the circumferential direction. This quaternary binding relationship allows any order from a sales window 130 to be uniquely mapped to the corresponding embodied robot 200 and shelf 160, realizing a precise matching link from order, window, arc segment, embodied robot to shelf. This fundamentally solves the technical problems of response delay and high error rate caused by the mismatch between window and operation in related technologies.

[0032] It should be noted that, through the five-layer structure division of the concentric circular annular space model and the establishment of the four-element binding relationship, the cabin space is transformed from a traditional single open space into a structured space with clear functional zoning and binding relationships. This provides a clear spatial topology basis for the collaborative operation of multiple androids and effectively avoids the problems of multi-robot path conflict and resource contention.

[0033] The intelligent cabin 100 in this embodiment adopts a dual-channel operation architecture, including a physical sales channel (channel A) and a visual information channel (channel B). Channel A corresponds to the sales window 130 of the window ring layer L2, which is used to realize the physical delivery of goods from the shelf 160 to the customer. When a customer places an order at a certain sales window 130, the corresponding embodied robot 200 and shelf 160 are determined according to the four-element binding relationship. The embodied robot 200 completes the entire process from picking, packing to delivery within the corresponding arc segment. The customer picks up the goods at the sales window 130. The customer does not need to enter the cabin space 120 during the entire process, realizing a fully automated and safe retail mode without human intervention.

[0034] Channel B corresponds to the display devices on the curtain wall layer L3, including a transparent grid screen 151 and a top circular display screen 152. The transparent grid screen 151 dynamically displays product information, live footage of the android's operations, or live performances on the wall, allowing customers outside the cabin to see the android 200's picking process in real time, enhancing transparency and trust. The top circular display screen 152 presents digital human performance content, brand promotional content, or immersive visual content on the top of the cabin, providing customers outside with a long-narrative visual experience. The display content in Channel B is synchronized with the operational tasks in Channel A. For example, when the android 200 in a certain arc is performing picking operations, the corresponding transparent grid screen 151 simultaneously plays the picking footage; when the system enters performance mode, the transparent grid screen 151 plays the performance footage, and the circular display screen 152 plays the digital human performance content. This dual-channel architecture, which separates physical sales from visual displays while maintaining synergy, integrates transparent displays with pickup windows. Customers can see the actual condition of the goods inside the cabin and the operation process of the embodied robot through the transparent grid screen 151, achieving an immersive shopping experience where what you see is what you buy.

[0035] It should be noted that the embodiments disclosed herein use a dual-channel operating architecture to functionally separate the physical sales channel and the visual information channel to avoid mutual interference, while coordinating the content to enhance the consistency of the experience. This solves the technical problems of separating the viewing experience from the sales experience and separating the transparent display from the pickup window in related technologies, thereby improving customer experience and purchase conversion rate.

[0036] At least one entrance / exit 140 is provided on the curtain wall layer L3 of the cabin 110. The entrance / exit 140 can be implemented by an electric airtight door or other doors, which are normally locked and only open when the embodied robot 200 needs to enter or exit the cabin. An apron performance area 170 (R-apron) is arranged around the cabin 110 in the external space. The apron performance area 170 is divided into multiple apron sectors 171, each corresponding to a certain angle range. Furthermore, a human-machine isolation zone 172 can be provided, and beyond the human-machine isolation zone 172 is the external customer area 173 where users can stay and watch. In addition, each entrance / exit 140 can also establish an angle mapping relationship with an apron sector 171. The opening angle of the entrance / exit 140 on the curtain wall layer L3 is consistent with or adjacent to the angle range of the corresponding apron sector 171, ensuring that the embodied robot 200 directly enters the corresponding apron sector 171 after exiting from the entrance / exit 140.

[0037] Furthermore, the shape of the cabin 110 can be set according to actual needs. For example, it can be a sphere, an ellipsoid, or an ellipse. In the example shown in the figure, the cabin 110 is a sphere, but this is not intended to limit the embodiments of this disclosure. In addition, it can also be set as a cuboid or other irregular cube.

[0038] It should be noted that the spherical, ellipsoidal, or elliptical cabin 110 shape possesses excellent structural mechanical properties, and its rounded shape reduces safety hazards in public settings. Furthermore, this shape naturally adapts to concentric circular spatial layouts, allowing for the even distribution of sales windows 130, entrances / exits 140, and shelves 160 along the circumference, maximizing the use of the cabin space 120 and supporting parallel operation of multiple windows. Simultaneously, the continuous curved surface of the cabin 110's outer wall can completely cover the display device, forming a wraparound display interface. Regardless of the direction from which customers approach, a complete visual display effect can be obtained, significantly enhancing customer attraction and interactive value. In addition, the rounded outline of the cabin 110 naturally guides the flow of customers outside the cabin to disperse and circle around it, and the surrounding apron performance area 170 can accommodate the viewing needs of tourists from various directions, effectively avoiding crowd congestion. It combines spatial functionality, scenic landmark status, and operational adaptability, making it particularly suitable for unmanned retail and interactive exhibition needs in complex crowd scenarios such as commercial districts and cultural tourism scenic spots.

[0039] In some embodiments of this disclosure, the temperature control unit supplies air to the cabin space 120 in zones via a zoned temperature control duct system. The zoned temperature control duct system includes a main air duct 181 (HVAC) and several radial branch pipes 182 connected to the main air duct 181. The main air duct 181 is located around the periphery of the hub layer L0, extending circumferentially to form the main air supply trunk. Each radial branch pipe 182 originates from the main air duct 181 and extends radially to the corresponding arc segment of the working layer L1, delivering the air processed by the temperature control unit to the designated location of each arc segment. Each radial branch pipe 182 is also equipped with an adjustable air valve 183 (VAV), which is a variable air volume terminal device used to independently adjust the air supply volume of the corresponding radial branch pipe 182. Each arc segment is equipped with a corresponding microenvironment ventilation tower 184, which is located on the arc segment's working layer L1, above or to the side of the avatar robot's workstation. The ventilation tower 184 is used to maintain the local temperature of the arc segment within a preferred range of 18°C ​​to 22°C during the avatar robot's operation or performance. Furthermore, the microenvironment ventilation tower 184 may also have independent air outlets and airflow guiding structures, enabling precise delivery of air regulated by the temperature control unit to the location of the avatar robot, forming a local microenvironment. This embodiment does not impose specific limitations on this aspect.

[0040] It should be noted that, through the four-layer structure of the concentric circular annular space model and the setting of the zoned temperature control air duct system, the cabin space is transformed from a traditional single uniform space into a structured space with clear functional zones and independent air supply channels, providing a physical basis for the implementation of differentiated energy efficiency strategies.

[0041] In some embodiments of this disclosure, the transparent grille screen is provided with a first independent heat dissipation channel, and the ring display screen is provided with a second independent heat dissipation channel. Both the first and second independent heat dissipation channels are isolated from the airflow of the main air duct 181 in the cabin space 120. Specifically, the first independent heat dissipation channel exhausts hot air to the outside of the cabin through a first external exhaust duct 192 via a heat exhaust fan 191 located on the back panel of the transparent grille screen. An airflow isolation structure can be provided between the air inlet side of the heat exhaust fan 191 and the main air duct 181. The second independent heat dissipation channel exhausts hot air upwards or to the side through a second external exhaust duct 193, preventing hot air from sinking to the arc-shaped working layer L1 at the height of the robot's head. A cooling fan can also be provided at the second external exhaust fan, but this embodiment of the disclosure does not impose specific limitations on this. By isolating the heat exhaust airflow of the screen from the main air duct 181 in the cabin, the hot air generated by the heat generated by the screen is directly exhausted to the outside of the cabin and will not mix with the airflow of the main air duct 181 in the cabin, thereby avoiding interference of the screen's heat generation with the cabin's temperature control.

[0042] In some embodiments of this disclosure, a condensation monitoring module (not shown in the figure) and a heating and anti-fogging module (not shown in the figure) may also be provided on the inner side of the wall of the cabin 110. The condensation monitoring module includes a condensation sensor disposed on the inner surface of the curtain wall for monitoring the humidity and temperature status of the inner side of the wall. The heating and anti-fogging module includes a heating and anti-fogging film disposed on the inner surface of the curtain wall for heating the inner side of the wall to eliminate condensation when the risk of condensation occurs. When the relative humidity inside the cabin exceeds a preset condensation threshold, such as a relative humidity of 65%, and the temperature of the inner surface of the curtain wall is lower than the dew point temperature, the control unit activates the heating and anti-fogging film and links with the dehumidification control.

[0043] In some embodiments of this disclosure, before acquiring the current operating mode of the intelligent cabin, the control unit also acquires external environmental parameters of the intelligent cabin. These external environmental parameters are collected by environmental temperature and humidity sensors installed on the outer surface of the cabin, including external ambient temperature and humidity. The control unit determines whether preset extreme environmental conditions are met based on the external environmental parameters. These preset extreme environmental conditions include a temperature below a first preset temperature threshold (e.g., -20°C) or above a second preset temperature threshold (e.g., 42°C). When the extreme environmental conditions are met, the control unit controls the temperature control unit to execute a pre-start process at a preset target temperature (e.g., 18°C) until the temperature inside the cabin 120 reaches a preset safe operating range (e.g., temperature 10°C to 35°C, relative humidity 40% to 60%). Before the temperature inside the cabin 120 reaches the safe operating range, the control unit prohibits the step of acquiring the current operating mode of the intelligent cabin, i.e., it locks the start interface of the upper-level scheduling system to prevent the cabin operation from starting when environmental conditions are not met.

[0044] In some embodiments of this disclosure, the control unit acquires the current operating mode of the intelligent cabin. The operating mode can be a retail mode, a performance mode, or a hybrid mode, where the hybrid mode indicates an operation state where retail and performance occur simultaneously. The control unit switches the corresponding energy efficiency strategy configuration file according to the operating mode. In retail mode, the control unit controls the temperature control unit to operate with a first energy efficiency strategy, prioritizing the airflow of the arc-shaped work layer L1 and the window ring layer L2, as well as the air supply intensity of the micro-environment ventilation shaft 184, to ensure stable temperature and humidity in the robot's picking and replenishment operation area. In performance mode, the control unit controls the temperature control unit to operate with a second energy efficiency strategy, prioritizing the air supply temperature on the curtain wall layer L3 side to improve thermal comfort for the audience outside the cabin. In hybrid mode, the control unit controls the temperature control unit to operate with a third energy efficiency strategy, reducing the average power consumption of the temperature control unit while ensuring a safe operating range within the cabin space 120.

[0045] Please see Figure 8 , Figure 8 This is a flowchart illustrating the environmental control method for a smart cabin provided in this embodiment. This environmental control method can be applied to the smart cabin described in the above embodiment, and includes steps S801 to S802: Step S801: Obtain the current operating mode of the smart cabin; Step S802: According to the working mode, control the temperature control unit to operate with the energy efficiency strategy corresponding to the working mode; The operating mode includes at least one of retail mode and performance mode; in retail mode, the temperature control unit operates with the first energy efficiency strategy to prioritize the environmental parameters of the cargo storage area in the cabin; in performance mode, the temperature control unit operates with the second energy efficiency strategy to prioritize the environmental parameters of the cabin wall side.

[0046] Regarding step S801 above, the working mode refers to the current operational status of the intelligent cabin, which may include at least one of retail mode, performance mode, and hybrid mode. Retail mode refers to a scenario where the intelligent cabin is primarily used for selling goods. In this mode, the embodied robot inside the cabin performs retail operations such as picking and replenishing goods, and the stability of environmental parameters in the goods storage area is the primary goal. Performance mode refers to a scenario where the intelligent cabin is primarily used for attracting customers through performances. In this mode, the embodied robot performs performances inside or outside the cabin, and the wall display devices operate under high load. The thermal comfort and environmental parameters on the cabin walls are the primary goals. Hybrid mode refers to a scenario where retail and performances occur simultaneously, requiring consideration of energy efficiency while ensuring the safe operation of equipment inside the cabin. The working mode can automatically switch according to time periods, such as retail mode during the day and performance mode at night; it can also be switched remotely by management personnel through terminal devices; or it can be dynamically adjusted based on real-time data such as passenger flow density and order volume outside the cabin. The control unit obtains the current working mode by reading the working mode flag or receiving mode switching commands.

[0047] Regarding step S802 above, the temperature control unit is the core environmental control equipment of the intelligent cabin. In some embodiments, the temperature control unit may include components such as a compressor, condenser, evaporator, and expansion valve, used for cooling, heating, and dehumidifying the cabin space. The control unit obtains the operating mode, selects the energy efficiency strategy corresponding to the current operating mode from multiple pre-stored energy efficiency strategy configuration files, and controls the temperature control unit to operate according to the energy efficiency strategy.

[0048] In some embodiments, in retail mode, the temperature control unit operates with a first energy efficiency strategy to prioritize environmental parameters in the cargo storage area within the cabin. The cargo storage area refers to the area where the shelving is located, corresponding to the arc-shaped working layer and window ring layer in the concentric circular spatial model. The core of the first energy efficiency strategy is to ensure that the temperature and humidity in this area remain stable within the appropriate range required for cargo storage, avoiding a decline in product quality due to temperature and humidity fluctuations. In performance mode, the temperature control unit operates with a second energy efficiency strategy to prioritize environmental parameters on the cabin wall side. The cabin wall side corresponds to the curtain wall layer. The core of the second energy efficiency strategy is to ensure suitable temperature and humidity near the curtain wall layer L3. This ensures that display devices such as the transparent grid screen and the circular display screen operate within a suitable temperature range, preventing overheating that could lead to display abnormalities or shortened lifespan. It also improves the thermal comfort experience for the audience outside the cabin, making them feel comfortable when watching the performance close to the cabin.

[0049] It should be noted that the priority protection in this embodiment refers to the control unit dynamically adjusting the air supply priority and air supply distribution ratio of the temperature control unit among different functional zones in the cabin space according to the current working mode of the intelligent cabin, so that the temperature control resources are tilted towards the most critical areas in the current operating scenario. Specifically, in the retail mode, since the core operational activities are goods storage and robot picking, the control unit prioritizes the arc-shaped work layer and / or the window ring layer. By adjusting the opening of the adjustable air valves on each radial branch pipe and the air supply parameters of the micro-environment ventilation shaft, more air processed by the temperature control unit is delivered to the arc-shaped work layer and the window ring layer, ensuring that the temperature and humidity in this area are stable within the appropriate range required for goods storage. In the performance mode, since the high heat load of the display device and the thermal comfort of the audience outside the cabin are the core requirements, the control unit prioritizes the curtain wall layer, delivering more regulated air to the vicinity of the curtain wall layer to improve the heat dissipation conditions of the display device and the physical comfort of the audience. The priority here does not mean that non-priority areas are not supplied with air at all. Rather, under the premise of limited total air supply, the differentiated opening degree control of zoned air valves allows key areas to receive more sufficient cooling or heating, thereby achieving refined environmental control of cooling / heating on demand.

[0050] In summary, the embodiments of this disclosure, through the execution of the intelligent cabin environmental control method in steps S801 to S802, automatically acquire the current working mode of the intelligent cabin and automatically schedule the temperature control unit to switch to the corresponding energy efficiency strategy. The entire process requires no manual inspection or parameter adjustment, achieving automated and adaptive environmental control, effectively improving the execution efficiency of environmental control. Simultaneously, differentiated regional priority protection rules are set for the core temperature control requirements of different operating scenarios. In retail mode, the first energy efficiency strategy is executed, prioritizing the stability of environmental parameters in the goods storage area, accurately matching the temperature and humidity control requirements of goods storage in retail scenarios, avoiding the problem of substandard environmental parameters in the storage area under a single uniform temperature mode. In performance mode, the second energy efficiency strategy is executed, prioritizing the compliance of environmental parameters on the cabin wall side, fully adapting to the high-load heat generation of wall display devices and the temperature control needs of the robot's activity area in performance scenarios, ensuring the stable and reliable operation of various temperature-sensitive devices. Thus, it accurately covers the differentiated environmental requirements under different operating states and achieves fully automated strategy switching without manual intervention, ultimately improving the efficiency and quality of intelligent cabin environmental control.

[0051] In some embodiments, the cabin space, from the inside out, includes a hub layer, an arc-shaped working layer surrounding the hub layer, a window ring layer surrounding the arc-shaped working layer, and a curtain wall located on the cabin wall. The temperature control unit supplies air to the cabin space in zones through a zoned temperature control duct system. The zoned temperature control duct system includes a main duct and several radial branch pipes connected to the main duct. The specific process of controlling the temperature control unit to operate with an energy efficiency strategy corresponding to the working mode in step S802 above may include: When operating in retail mode, the temperature control unit prioritizes airflow to the arc-shaped work area and / or the window ring layer. In retail mode, goods are stored in the shelf area corresponding to the window ring layer, and embodied robots perform picking and replenishment operations within the arc-shaped work area. Therefore, the arc-shaped work area and the window ring layer are areas where environmental parameters need to be prioritized. The control unit adjusts the opening of the adjustable air valves in each radial branch of the zoned temperature control duct system to ensure that more air processed by the temperature control unit is delivered to the arc-shaped work area and the window ring layer, thus ensuring that the temperature and humidity in these two areas remain stable within a suitable range.

[0052] When the operating mode is performance mode, the temperature control unit prioritizes airflow to the curtain wall layer. In performance mode, the transparent grille screen and circular display screen operate under high load, generating significant heat. Simultaneously, audience members outside the cabin are close to the curtain wall layer to view the performance; therefore, the curtain wall layer is the area requiring priority in ensuring environmental parameters. The control unit adjusts the airflow and temperature of the air supply interfaces towards the curtain wall layer in the zoned temperature control duct system to ensure suitable temperature and humidity near the curtain wall layer, thus guaranteeing the normal operating temperature of the display devices while improving the thermal comfort experience for the audience.

[0053] It should be noted that the embodiments disclosed herein achieve independent temperature control of different zones within the cabin through a zoned temperature control air duct system and differentiated air supply strategies. This avoids the inefficient mode of overheating in one area and cooling of the entire cabin under the traditional single uniform air supply method, effectively reducing energy consumption and improving temperature control accuracy.

[0054] In some embodiments, the arc-shaped working layer is divided into multiple arc segments in the circumferential direction, each radial branch extends to the corresponding arc segment, each radial branch is equipped with an adjustable air valve, and each arc segment is equipped with a corresponding microenvironment ventilation shaft. The specific process of controlling the temperature control unit to preferentially supply air to the arc-shaped working layer and / or the window ring layer may include: Acquire the load status information of the embodied robot within each arc segment. This load status information refers to parameters characterizing the current workload of the embodied robot, which may include indicators such as the robot's movement speed, joint torque, power consumption, and operation time. The load status information reflects the heat generated by the embodied robot within the current arc segment; the higher the load, the greater the heat generated by the robot's servo motors and battery, and the higher the heat dissipation requirement for the local environment of that arc segment.

[0055] Based on the embodied robot's load status information, the opening of each adjustable air valve and the air supply parameters of the corresponding micro-environment ventilation shaft are adjusted accordingly. Specifically, for arcs with high embodied robot load, the opening of the adjustable air valve on the corresponding radial branch pipe is increased to improve the air supply volume of that arc. At the same time, the air supply intensity of the micro-environment ventilation shaft is increased to precisely deliver cool air to the location of the embodied robot, achieving localized enhanced heat dissipation. For arcs with low embodied robot load or no load, the opening of the adjustable air valve and the air supply intensity of the micro-environment ventilation shaft are reduced accordingly to avoid energy waste. This arc-level differentiated control allows the airflow distribution of each arc to match the embodied robot load in real time, achieving precise environmental control of cooling on demand.

[0056] Furthermore, adjusting the opening degree of each adjustable air valve and the air supply parameters of the microenvironment ventilation shaft corresponding to each arc segment based on the embodied robot's load status information can include: Temperature and humidity distribution data for various areas within the cabin are collected using a temperature and humidity sensing grid deployed throughout the cabin space. This grid is a distributed sensing network composed of multiple temperature and humidity sensors, each positioned at predetermined locations within different zones of the cabin space. It is used to collect real-time temperature and humidity data for each area, forming a panoramic view of the temperature and humidity distribution within the cabin.

[0057] The temperature of the display device's back panel is collected by a temperature sensor installed on the back panel. The transparent grille screen and the circular display screen generate a significant amount of heat during operation, and the back panel temperature is a key indicator reflecting the display device's heating status. When the back panel temperature is too high, it not only affects the lifespan and display effect of the display device but also impacts the temperature and humidity environment of the surrounding area through thermal radiation and convection.

[0058] The temperature of the android is collected by a cabin temperature telemetry module installed inside the cabin. The android temperature includes battery temperature and / or servo drive temperature. Excessive battery temperature can affect battery life and safety, while excessive servo drive temperature may lead to decreased drive performance or malfunction. The cabin temperature telemetry module transmits the collected temperature data to the control unit in real time via wireless communication. This embodiment of the disclosure does not impose specific limitations on this aspect.

[0059] Based on temperature and humidity distribution data, backplane temperature, robot temperature, and robot load status information, the opening degree of each adjustable air valve and the air supply parameters of the corresponding micro-environment ventilation shafts for each arc segment are comprehensively adjusted. The control unit fuses and analyzes the above multi-source sensor data to identify which arc segments have a risk of local overheating and which areas have temperature and humidity deviating from the target values, and then makes comprehensive decisions on the adjustment amount of each air valve and ventilation shaft. This comprehensive adjustment method based on multi-source sensor data achieves an upgrade from single-point perception to global perception, and from coarse control to precise regulation.

[0060] It should be noted that the embodiments disclosed herein achieve refined and intelligent adjustment of cabin environmental parameters through multi-source sensor data fusion and arc-level differentiated control, which not only ensures that the environmental parameters of each area meet the standards, but also avoids energy waste caused by excessive cooling.

[0061] In some embodiments, the display device includes a transparent grille screen disposed on the cabin wall and / or a ring-shaped display screen disposed on the top of the cabin. The transparent grille screen is provided with a first independent heat dissipation channel, and the ring-shaped display screen is provided with a second independent heat dissipation channel. Both the first and second independent heat dissipation channels are isolated from the main airflow of the cabin space. In step S802 above, controlling the temperature control unit to operate with an energy efficiency strategy corresponding to the operating mode according to the operating mode may further include: Acquire the display temperature information of the transparent grid screen and / or the circular display screen. The display temperature information refers to the temperature status of the display device during operation, which can be collected in real time by a temperature sensor installed on the back panel of the display device.

[0062] When the displayed temperature exceeds a preset temperature threshold, the corresponding first and / or second independent heat dissipation channels are activated to dissipate heat. The preset temperature threshold is a pre-defined upper limit for safe temperatures. When the display device's temperature exceeds this threshold, it indicates a risk of overheating. In this case, the control unit activates the exhaust fan of the corresponding independent heat dissipation channel, directly exhausting the hot air inside the display device's back panel cavity to the outside of the cabin through an independent external exhaust duct. Because an airflow isolation structure is installed between the independent heat dissipation channels and the main air duct inside the cabin, hot air will not be carried into the main air duct during the heat dissipation process, thus avoiding interference from screen heating on the cabin's temperature control.

[0063] It should be noted that, by setting independent heat dissipation channels for the transparent grid screen and the ring display screen respectively, the heat exhaust airflow of the screen body is completely isolated from the main air duct inside the cabin. The hot air generated by the heat of the screen body is directly discharged outside the cabin and will not mix with the airflow of the main air duct inside the cabin. This fundamentally solves the technical problems of difficult heat dissipation of the screen body and the competition for air duct between the robot and the screen, and ensures the stability of the display device and the cabin environment.

[0064] In some embodiments, a condensation monitoring module and a heating anti-fog module are provided on the inner side of the cabin wall. The environmental control method may also include condensation protection steps: Acquire wall temperature and / or wall humidity information on the inner side of the cabin wall. The wall temperature information is collected by temperature sensors arranged on the inner surface of the curtain wall, and the wall humidity information is collected by condensation sensors arranged on the inner surface of the curtain wall.

[0065] When the temperature on the inner side of the cabin wall is determined to be lower than the dew point temperature and / or the humidity exceeds the preset condensation threshold based on wall temperature and / or wall humidity information, the control unit activates the heating and anti-fogging module to start heating and / or the temperature control unit activates the dehumidification mode. The dew point temperature is the temperature at which water vapor in the air condenses into dew at a certain atmospheric pressure. When the wall temperature is lower than the dew point temperature, condensation will occur on the inner side of the wall. The preset condensation threshold is a pre-set upper limit for humidity, such as a relative humidity of 65%. When the wall humidity exceeds this threshold or the wall temperature is lower than the dew point, the control unit activates the heating and anti-fogging membrane to heat the inner side of the wall, while simultaneously controlling the temperature control unit to increase dehumidification output, such as by lowering the evaporator temperature and increasing the airflow, thus eliminating the risk of condensation through a two-pronged approach.

[0066] It should be noted that the embodiments disclosed herein use the linkage control between the condensation sensor and the heated anti-fog film to automatically start heating and dehumidification when the risk of condensation occurs, effectively preventing damage to electronic components caused by condensation due to large temperature differences or high humidity, and ensuring the equipment reliability of the smart cabin in extreme temperature and humidity environments.

[0067] In some embodiments, before step S801 obtains the current operating mode of the smart cabin, the environmental control method may further include an extreme environment pre-start process: The external environmental parameters of the intelligent cabin are acquired. These parameters include external ambient temperature and humidity, which can be collected by environmental temperature and humidity sensors installed on the outer surface of the cabin. This embodiment does not impose specific limitations on these parameters.

[0068] The system determines whether preset extreme environmental conditions are met based on external environmental parameters. These preset extreme environmental conditions include a temperature below a first preset temperature threshold or above a second preset temperature threshold. The magnitudes of the first and second preset temperature thresholds can be set according to actual needs, and this embodiment does not impose specific limitations on this. For example, in a preferred embodiment, the first preset temperature threshold can be -20°C, and the second preset temperature threshold can be 42°C. When the external environmental temperature is below -20°C or above 42°C, it is determined to be an extreme environmental condition.

[0069] When extreme environmental conditions are met, the temperature control unit executes a pre-start process at a preset target temperature until the temperature inside the cabin reaches a preset safe operating range. The preset target temperature and safe operating range can be set according to actual needs, and this embodiment does not impose specific limitations on this. For example, in a preferred embodiment, the preset target temperature can be 18°C, and the safe operating range can be a temperature of 10°C to 35°C and a relative humidity of 40% to 60%. The pre-start process refers to the process by which the control unit drives the temperature control unit to operate at maximum efficiency before officially starting the operating mode, adjusting the temperature and humidity inside the cabin from their current state to within the safe operating range. Furthermore, the duration of the pre-start process can be automatically calculated based on the difference between the external environmental parameters and the target temperature; for example, the maximum pre-adjustment time can be 90 minutes.

[0070] Furthermore, before the temperature inside the cabin reaches the safe operating range, this embodiment of the present disclosure also prohibits the execution of the step of obtaining the current working mode of the intelligent cabin, that is, locking the start interface of the upper-level scheduling system to ensure that no cabin operations, such as embodied robot picking or performing, will be started before the cabin environmental conditions meet the requirements for safe operation of the equipment, so as to avoid damage to the equipment caused by starting under extreme conditions.

[0071] It should be noted that the embodiments disclosed herein employ an extreme environment pre-start process. Under extreme weather conditions such as severe cold or extreme heat, the cabin space is preheated or precooled before operation is allowed to commence only after the environmental parameters have entered the safe operating range. This effectively ensures the reliable start-up and safe operation of the equipment in extreme temperature and humidity environments and expands the geographical deployment range of the smart cabin.

[0072] The above embodiments will be illustrated below through several specific application scenarios: Example 1: Outdoor deployment scenario in northern winter at -25℃: This embodiment uses the deployment of the intelligent cabin in a northern winter outdoor setting as an example. The external ambient temperature is -25℃, and the external humidity is low. After the remote operation and maintenance terminal initiates the cabin start command, the control unit first obtains the external environmental parameters and determines that the external ambient temperature of -25℃ is lower than the first preset temperature threshold of -20℃, meeting the extreme environmental conditions. The control unit initiates the extreme environment pre-start process, controlling the temperature control unit to preheat at the target temperature of 18℃. During the preheating process, the main air duct and radial branch pipes of the zoned temperature control air duct system deliver heated air to various areas inside the cabin. After about 90 minutes, the cabin temperature reaches above 15℃, and the humidity enters the safe operating range. The control unit sends a start-up permission signal to the upper-level scheduling system, which sets the working mode to performance mode according to the current time period. After receiving the performance mode, the control unit switches to the second energy efficiency strategy, prioritizing air supply to the curtain wall layer, increasing the air supply temperature on the curtain wall layer side, and improving the thermal comfort of the audience outside the cabin. Meanwhile, the microenvironment ventilation towers in each arc segment maintain the local temperature at the location of the embodied robot within the range of 18°C ​​to 22°C, ensuring that the embodied robot's battery and servo drive operate at a suitable temperature.

[0073] Furthermore, the airtight door reduces cold air infiltration when closed, and the double-layered vacuum-insulated spherical shell suppresses the impact of external cold air on the cabin temperature. Throughout operation, the condensation monitoring module continuously monitors the temperature and humidity of the inner surface of the curtain wall; due to the low humidity inside the cabin, condensation protection was not triggered.

[0074] Example 2: A scenario of 42℃ and high humidity in southern summer: This embodiment uses the deployment of the intelligent cabin in a southern summer outdoor scenario as an example. The external ambient temperature is 42℃, and the external ambient humidity is 75%. The control unit determines that the external ambient temperature is higher than the second preset temperature threshold of 42℃, meeting the extreme environmental conditions. The control unit initiates the extreme environment pre-start process, controlling the temperature control unit to pre-cool at the target temperature of 18℃. During the pre-cooling process, the control unit detects that the temperature of the transparent grille screen back panel continues to rise. When the back panel temperature exceeds the preset temperature threshold, the control unit starts the heat exhaust fan of the first independent heat dissipation channel, directly exhausting the hot air in the cavity of the transparent grille screen back panel to the outside of the cabin through an independent external exhaust duct, preventing hot air from entering the main air duct inside the cabin. After pre-cooling is completed, the control unit sets the working mode to retail mode according to the current time period. The control unit switches to the first energy efficiency strategy, prioritizing air supply to the arc segment working layer L1 and the window ring layer L2. The opening of the adjustable air valves in each arc segment is dynamically adjusted according to the load status information of the embodied robot in each arc segment. The opening of the air valves in high-load arc segments is increased, and the air supply intensity of the micro-environment ventilation tower is enhanced to ensure that the embodied robot servo does not overheat.

[0075] Meanwhile, the condensation monitoring module detects that the relative humidity of the inner surface of the curtain wall exceeds 65% and the wall temperature is lower than the dew point temperature. The control unit activates the heating anti-fog membrane to heat the inner side of the wall and controls the temperature control unit to increase the dehumidification output, effectively preventing condensation. In addition, the wall temperature sensor continuously monitors the temperature of the back panel of the display device. When the back panel temperature exceeds the overheating threshold, the speed of the exhaust fan in the corresponding independent heat dissipation channel is automatically increased.

[0076] Example 3: Scenarios involving mode-based energy efficiency linkage: This embodiment illustrates the operation of the intelligent cabin in a commercial district around the clock. From 10:00 AM to 6:00 PM is the peak retail period. The control unit sets the operating mode to retail mode according to a preset schedule, switching to the first energy efficiency strategy. This prioritizes ensuring airflow in the arc-shaped work layer L1 and the window ring layer L2. The air valves in each arc are dynamically adjusted according to the robot's load to ensure temperature control requirements for picking and replenishment operations. From 6:00 PM to 9:00 PM is the performance-driven period. The control unit switches the operating mode to performance mode according to a preset schedule, switching to the second energy efficiency strategy. This prioritizes ensuring environmental parameters on the curtain wall layer L3, appropriately increasing the supply air temperature near the curtain wall layer to improve audience comfort. Simultaneously, the micro-environment ventilation shafts in each arc maintain the local temperature at the robot's location. From 21:00 to 22:00, a mixed-mode period will be implemented, with some windows continuing retail sales and others hosting performances. During this time, the control unit will switch to the third energy efficiency strategy, reducing the average power consumption of the temperature control unit while ensuring safe operation within the cabin space. This can be achieved by appropriately increasing the supply air temperature setpoint and reducing fan speed. Therefore, during the mode switching process, the control unit automatically adjusts the airflow distribution of the zoned temperature control duct system, requiring no manual intervention throughout the process.

[0077] This disclosure also provides an environmental control device for a smart cabin, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned environmental control method for the smart cabin. This environmental control device can also be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0078] Please see Figure 9 , Figure 9 The hardware structure of an environmental control device for a smart cabin, according to another embodiment, is illustrated. The environmental control device for the smart cabin includes: The processor 901 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this disclosure. The memory 902 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 902 can store operating devices and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 902 and is called by the processor 901 to execute the environmental control method of the intelligent cabin according to the embodiments of this disclosure. The input / output interface 903 is used to implement information input and output; The communication interface 904 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 905 transmits information between various components of the device (e.g., processor 901, memory 902, input / output interface 903, and communication interface 904); The processor 901, memory 902, input / output interface 903, and communication interface 904 are connected to each other within the device via bus 905.

[0079] This disclosure also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described environmental control method for the intelligent cabin.

[0080] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0081] The embodiments described in this disclosure are for the purpose of more clearly illustrating the technical solutions of this disclosure and do not constitute a limitation on the technical solutions provided by this disclosure. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by this disclosure are also applicable to similar technical problems.

[0082] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this disclosure, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0083] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0084] Those skilled in the art will understand that all or some of the steps, apparatuses, or functional modules / units in the methods disclosed above can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0085] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in this disclosure and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such orders can be interchanged where appropriate so that embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, apparatus, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0086] It should be understood that in this disclosure, "at least one item" means one or more, and "more than one" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0087] In the several embodiments provided in this disclosure, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, and the division of the units described above is only a logical functional division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0088] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0089] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0090] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0091] The preferred embodiments of the present disclosure have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present disclosure. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and spirit of the present disclosure shall be within the scope of the claims of the present disclosure.

Claims

1. An environmental control method for an intelligent cabin, characterized in that, Applied in a smart cabin, the smart cabin includes a cabin body that encloses an interior space, a display device is installed on the wall of the cabin body, and a temperature control unit is installed in the interior space; The environmental control method includes: Obtain the current operating mode of the intelligent cabin; According to the operating mode, the temperature control unit is controlled to operate with an energy efficiency strategy corresponding to the operating mode; The operating mode includes at least one of a retail mode and a performance mode; in the retail mode, the temperature control unit is controlled to operate with a first energy efficiency strategy to prioritize the environmental parameters of the cargo storage area in the cabin; in the performance mode, the temperature control unit is controlled to operate with a second energy efficiency strategy to prioritize the environmental parameters of the cabin wall side.

2. The environmental control method for an intelligent cabin according to claim 1, characterized in that, The cabin space, from the inside out, includes a hub layer, an arc-shaped working layer surrounding the hub layer, a window ring layer surrounding the arc-shaped working layer, and a curtain wall layer located on the cabin wall. The temperature control unit supplies air to the cabin space in zones through a zoned temperature control air duct system. The zoned temperature control air duct system includes a main air duct and several radial branch pipes connected to the main air duct. The step of controlling the temperature control unit to operate with an energy efficiency strategy corresponding to the operating mode includes: When the operating mode is the retail mode, the temperature control unit is controlled to preferentially supply air to the arc-shaped working layer and / or the window ring layer; When the operating mode is the performance mode, the temperature control unit is controlled to prioritize air supply to the curtain wall layer.

3. The environmental control method for an intelligent cabin according to claim 2, characterized in that, The arc-shaped working layer is divided into multiple arc segments in the circumferential direction. Each radial branch extends to the corresponding arc segment. Each radial branch is equipped with an adjustable air valve. Each arc segment is equipped with a micro-environment ventilation shaft. The control of the temperature control unit to preferentially supply air to the arc-shaped working layer and / or the window ring layer includes: Obtain the load status information of the embodied robot within each arc segment; Based on the load status information of the embodied robot, the opening degree of each adjustable air valve and the air supply parameters of the microenvironment ventilation shaft corresponding to each arc segment are adjusted respectively.

4. The environmental control method for an intelligent cabin according to claim 3, characterized in that, The step of adjusting the opening degree of each adjustable air valve and the air supply parameters of the microenvironment ventilation shaft corresponding to each arc segment according to the load status information of the embodied robot includes: Temperature and humidity distribution data for each area of ​​the cabin space are collected by a temperature and humidity sensing grid arranged in the cabin space. The temperature of the back panel of the display device is collected by a temperature sensor disposed on the back panel of the display device. The temperature of the android is collected by a cabin temperature telemetry module installed inside the android cabin. The android temperature includes the battery temperature and / or the servo driver temperature. Based on the temperature and humidity distribution data, the back panel temperature, the robot temperature, and the robot load status information, the opening degree of each adjustable air valve and the air supply parameters of the microenvironment ventilation shaft corresponding to each arc segment are comprehensively adjusted.

5. The environmental control method for an intelligent cabin according to claim 1, characterized in that, The display device includes a transparent grid screen disposed on the wall of the cabin and / or a ring display screen disposed on the top of the cabin. The transparent grid screen is provided with a first independent heat dissipation channel, and the ring display screen is provided with a second independent heat dissipation channel. Both the first independent heat dissipation channel and the second independent heat dissipation channel are isolated from the main airflow of the cabin space. The step of controlling the temperature control unit to operate according to the operating mode in an energy efficiency strategy corresponding to the operating mode further includes: Obtain the display temperature information of the transparent grid screen and / or the ring display screen; When the displayed temperature exceeds a preset temperature threshold, the corresponding first independent heat dissipation channel and / or second independent heat dissipation channel are controlled to start heat dissipation.

6. The environmental control method for an intelligent cabin according to claim 5, characterized in that, The first independent heat dissipation channel exhausts hot air to the outside of the cabin through a heat exhaust fan installed on the back panel of the transparent grille screen, and an airflow isolation structure is provided between the air intake side of the heat exhaust fan and the main air duct; the second independent heat dissipation channel exhausts hot air upward or to the side.

7. The environmental control method for an intelligent cabin according to claim 1, characterized in that, The inner side of the cabin wall is equipped with a condensation monitoring module and a heating and anti-fog module. The step of controlling the temperature control unit to operate according to the operating mode in an energy efficiency strategy corresponding to the operating mode further includes: Obtain the wall temperature information and / or wall humidity information of the inner side of the cabin wall; When the temperature on the inner side of the cabin wall is determined to be lower than the dew point temperature and / or the humidity exceeds the preset condensation threshold based on the wall temperature information and / or the wall humidity information, the heating and anti-fog module is controlled to start heating and / or the temperature control unit is controlled to start dehumidification mode.

8. The environmental control method for an intelligent cabin according to claim 1, characterized in that, Before obtaining the current operating mode of the smart cabin, the process also includes: Obtain the external environmental parameters of the intelligent cabin; The external environmental parameters are used to determine whether the preset extreme environmental conditions are met. The preset extreme environmental conditions include the temperature in the external environmental parameters being lower than a first preset temperature threshold or higher than a second preset temperature threshold. When the extreme environmental conditions are met, the temperature control unit is controlled to perform a pre-start process at a preset target temperature until the temperature of the cabin space reaches the preset safe operating range. The step of obtaining the current operating mode of the smart cabin is prohibited until the temperature inside the cabin reaches the safe operating range.

9. A smart cabin, characterized in that, include: The cabin body encloses and forms an interior space, and a display device is installed on the wall of the cabin body; A temperature control unit is installed in the cabin space; The control unit is communicatively connected to the temperature control unit; The control unit is used to obtain the current working mode of the smart cabin and control the temperature control unit to operate according to the working mode in an energy efficiency strategy corresponding to the working mode. The operating mode includes at least one of a retail mode and a performance mode; in the retail mode, the control unit controls the temperature control unit to operate with a first energy efficiency strategy to prioritize the environmental parameters of the cargo storage area in the cabin; in the performance mode, the control unit controls the temperature control unit to operate with a second energy efficiency strategy to prioritize the environmental parameters of the cabin wall side.

10. An environmental control device for an intelligent cabin, characterized in that, The environmental control device of the intelligent cabin includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the environmental control method of the intelligent cabin according to any one of claims 1 to 8.

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