Methods and devices for air conditioning and lighting management in office settings

Abstract

This invention discloses a method and device for air conditioning and lighting management in an office setting, belonging to the field of Internet of Things (IoT) device management technology. The method includes: acquiring first sensor data and second sensor data corresponding to a target area, wherein the first and second sensor data include first data determined by an infrared thermal imaging sensor and second data determined by millimeter-wave radar; determining whether a human body exists in the target area based on the first and second sensor data, forming a judgment result; when the judgment result determines that a human body exists in the target area, setting a prohibition on shutdown command for the area's air conditioning and lighting equipment; when the judgment result determines that no human body exists in the target area and a first preset time period has elapsed, acquiring office status information to determine a control scheme for the area's air conditioning and lighting equipment based on the office status information; this scheme can reduce energy consumption.

Description

Technical Field

[0001] This invention relates to the field of Internet of Things (IoT) device management technology, and in particular to a method and apparatus for managing air conditioning and lighting in an office setting. Background Technology

[0002] Existing air conditioning and lighting systems are usually manually controlled by users, and if they are not manually turned off after the user leaves, they will usually result in high energy consumption. Summary of the Invention

[0003] To address the problems existing in the prior art, the present invention aims to provide an air conditioning and lighting management method and device based on an office scenario. It can use infrared thermal imaging and millimeter-wave radar to perform dual detection of human bodies in the area, and determine the corresponding control scheme for air conditioning and lighting based on the detection results. When people temporarily leave the target area, the air conditioning and lighting equipment can operate with low power consumption, and when people leave the target area for a long time, the air conditioning and lighting equipment can be turned off to reduce energy consumption.

[0004] In a first aspect, this application provides an air conditioning and lighting management method based on an office scenario. The method includes: acquiring first sensor data and second sensor data corresponding to a target area, wherein the first sensor data and second sensor data include first data determined by an infrared thermal imaging sensor and second data determined by millimeter-wave radar; determining whether a human body exists in the target area based on the first sensor data and second sensor data, and forming a judgment result; when it is determined that a human body exists in the target area based on the judgment result, setting a prohibition to shut down the area air conditioning and area lighting equipment in the target area; when it is determined that no human body exists in the target area based on the judgment result and a first preset time period has been reached, acquiring office status information, and determining a control scheme for the area air conditioning and area lighting equipment in the target area based on the office status information, wherein the office status information includes: a first status corresponding to a working period and a second status corresponding to an off-get off work period; the control scheme includes a scheme for controlling the area air conditioning and area lighting equipment to operate at low power consumption corresponding to the first status and a scheme for shutting down the area air conditioning and area lighting equipment corresponding to the second status.

[0005] Optionally, the first sensor data is determined based on a first sensing device deployed on the ceiling of the target area, the first sensing device being installed at a height between 2.8 meters and 3.2 meters, and the first sensing device consisting of an infrared thermal imaging sensor and a millimeter-wave radar; the second sensor data is determined based on a second sensing device deployed on the side wall of the target area, the second sensing device being installed at a height between 1.5 meters and 1.8 meters, and the second sensing device consisting of an infrared thermal imaging sensor and a millimeter-wave radar.

[0006] Optionally, obtaining office status information includes: determining whether the current time is within the office hours or overtime hours; if yes, then determining the office status information as a first state; if no, then determining whether the absence of human beings in the target area has reached a second preset duration; if the second preset duration has been reached, then determining the office status information as a second state.

[0007] Optionally, obtaining office status information includes: obtaining video data corresponding to the target area based on a first preset duration, performing behavioral analysis on the target person in the video data to determine the behavioral analysis result; if it is determined based on the behavioral analysis result that the target person has performed the action of leaving work, then the office status information is determined to be the second status.

[0008] Optionally, the method further includes: performing conflict analysis based on the judgment result and the first data and second data in the first sensor data or the second sensor data, wherein the conflict analysis includes whether the human body recognition results corresponding to the first data and the second data are consistent; maintaining the working state of the area air conditioner and area lighting equipment when the first data and the second data conflict and the duration does not reach the first duration; acquiring scene judgment data and determining a conflict management scheme for the area air conditioner and area lighting equipment when the first data and the second data conflict and the duration reaches the first duration but does not reach the second duration; and confirming that the target sensing device corresponding to the first data and the second data has malfunctioned when the first data and the second data conflict and the duration reaches the second duration.

[0009] Optionally, the step of acquiring scene determination data and determining a conflict management scheme for regional air conditioning and regional lighting equipment includes: acquiring scene determination data, which includes at least one of the following: working hours, historical determination results of the target area, and image data from the camera in the target area; determining whether a human body exists in the target area based on the scene determination data, so as to determine a conflict management scheme for regional air conditioning and regional lighting equipment, wherein the conflict management scheme includes turning off the regional air conditioning and regional lighting equipment and maintaining the working status of the regional air conditioning and regional lighting equipment.

[0010] Optionally, the first duration and the second duration are determined after analyzing the conflict records corresponding to the historical conflicts.

[0011] Optionally, the method further includes: determining the human location information of the target area when there is no one in the adjacent area of ​​the target area and the number of people in the target area is less than a preset value; turning on the area air conditioners of the target area and adjacent areas based on the human location information of the target area, and calculating the wind direction information of the area air conditioners of the target area and adjacent areas in combination with the installation position of the area air conditioners, so as to perform linkage control on the orientation of the area air conditioners of the target area and adjacent areas according to the wind direction information; determining whether the target human body is close to the boundary of the target area based on the human location information of the target area, and generating an auxiliary light turning-on command when the target human body is close to the boundary of the target area, the auxiliary light turning-on command being used to turn on the area lighting equipment of the adjacent area.

[0012] Optionally, the method further includes: during the linkage control process, acquiring temperature data corresponding to temperature sensors in the target area and adjacent areas; and analyzing the influence of wind direction information on the temperature of the target area and adjacent areas based on wind direction information and temperature data, so as to optimize the wind direction information of the target area and adjacent areas.

[0013] Secondly, this application provides an air conditioning and lighting management device based on an office scenario. The device includes: a sensor data acquisition module, used to acquire first sensor data and second sensor data corresponding to a target area, wherein the first sensor data and second sensor data include first data determined by an infrared thermal imaging sensor and second data determined by millimeter-wave radar; a judgment result acquisition module, used to determine whether a human body exists in the target area based on the first sensor data and second sensor data, and form a judgment result; a shutdown command determination module, used to set a prohibition shutdown command for the area air conditioning and area lighting equipment of the target area when the judgment result determines that a human body exists in the target area; and a control scheme determination module, used to acquire office status information when the judgment result determines that no human body exists in the target area and a first preset time period has been reached, and to determine a control scheme for the area air conditioning and area lighting equipment of the target area based on the office status information, wherein the office status information includes: a first state corresponding to a working period and a second state corresponding to an off-get off work period; the control scheme includes a scheme for controlling the area air conditioning and area lighting equipment to operate at low power consumption corresponding to the first state and a scheme for turning off the area air conditioning and area lighting equipment corresponding to the second state.

[0014] Thirdly, this application provides an electronic device, comprising: a memory and at least one processor; the memory being used to store computer execution instructions; the at least one processor being used to execute the computer execution instructions stored in the memory, causing the at least one processor to perform the method as described in the first aspect.

[0015] Fourthly, this application provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect.

[0016] This application can be applied to air conditioning and lighting management in office settings. It utilizes both infrared thermal imaging and millimeter-wave radar to detect people within a given area. Based on the detection results, it determines the corresponding control scheme for air conditioning and lighting equipment. When people temporarily leave the target area, the air conditioning and lighting equipment can operate with low power consumption; when people leave for an extended period, the air conditioning and lighting equipment are turned off to reduce energy consumption. This solution employs dual detection with infrared thermal imaging and millimeter-wave radar, enabling more accurate identification of both dynamic and static human bodies, avoiding misidentification due to static human presence. Furthermore, this solution can perform conflict analysis between infrared thermal imaging and millimeter-wave radar. If a short-term conflict occurs, the air conditioning and lighting equipment continue operating; if a long-term conflict occurs, it indicates a malfunction in the infrared thermal imaging and millimeter-wave radar, and the corresponding sensor data is avoided in subsequent detections. For scenarios involving a small number of people working overtime in the target area, this solution can identify the location of personnel and dynamically adjust the air conditioning airflow direction in the target area and adjacent areas, while maintaining the operation of the lighting equipment in the target area, thus more effectively maintaining the temperature and lighting in the target area. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0018] Figure 1 This is a flowchart illustrating the steps of an embodiment of an air conditioning and lighting management method based on an office setting according to this application.

[0019] Figure 2 This is a schematic diagram of the structure of an air conditioning and lighting management device based on an office scenario according to an embodiment of this application. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms, while “a plurality” refers to two or more, and other quantifiers are similarly understood. It should be further understood that the word “comprising” as used in this application’s specification means the presence of the stated feature, integer, step, operation, element, and / or component, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. It should be understood that when we say an element is “connected” or “coupled” to another element, it can be directly connected or coupled to the other element, or there may be intermediate elements. Furthermore, “connected” or “coupled” as used herein can include wireless connection or wireless coupling. The word “and / or” as used herein describes the relationship between related objects, indicating that three relationships can exist; for example, A and / or B can represent: A alone, A and B simultaneously, and B alone. The character “ / ” generally indicates that the preceding and following related objects are in an “or” relationship.

[0022] This application can be applied to air conditioning and lighting management in office settings. Some solutions use a single infrared thermal imaging sensor for human identification, but this sensor is prone to false detection of static human bodies. This solution can use both infrared thermal imaging and millimeter-wave radar to detect human bodies in the area, improving the accuracy of the detection results. Based on the detection results, the corresponding control scheme for air conditioning and lighting equipment is determined. When the time a person leaves the target area does not reach the first preset time, the air conditioning and lighting equipment continue to operate. When the time a person leaves the target area reaches the first preset time (temporary departure), the air conditioning and lighting equipment can operate with low power consumption. When a person leaves the target area for a long time (the departure time reaches the second preset time), the air conditioning and lighting equipment are turned off to reduce energy consumption.

[0023] This solution deploys at least two sensing devices in the target area, including an infrared thermal imaging sensor and a millimeter-wave radar; one sensor is installed on the ceiling, and the other on the side wall. The presence of a human body in the target area can be determined using data from just one of the multiple sensors. Furthermore, if one sensor detects normally while the infrared thermal imaging sensor and millimeter-wave radar on the other sensor produce inconsistent results, conflict analysis can be performed. If a short-term conflict occurs, the air conditioning and lighting equipment remain operational; if a prolonged conflict occurs, it indicates a malfunction in the infrared thermal imaging and millimeter-wave radar, and the corresponding sensor data is avoided in subsequent detections. For scenarios involving a small number of people working overtime in the target area, this solution can identify the location of personnel and dynamically adjust the air conditioning direction in the target area and adjacent areas, while maintaining the lighting equipment in the target area to more effectively maintain the temperature and lighting.

[0024] The management system of this solution mainly consists of an infrared and millimeter-wave dual-sensing area linkage networking module, an air conditioning intelligent control module, a lighting intelligent control module, a central control module, a data storage module, and a comprehensive energy management visualization platform. These modules work in deep collaboration and closed-loop linkage, overcoming the functional limitations and technical shortcomings of traditional energy-saving systems to achieve highly stable, highly accurate, and highly innovative intelligent energy-saving management and control. The specific functions of each module are as follows:

[0025] Infrared and millimeter-wave dual-sensing regional linkage networking module: This module adopts a complementary detection scheme combining infrared thermal imaging and millimeter-wave radar. Addressing the shortcomings of traditional sensors—such as arbitrary deployment, lack of networking logic, absence of regional linkage, numerous blind spots, frequent power outages, and lack of conflict tolerance—this module establishes five core mechanisms: standardized zoning deployment specifications, logical grouping of office areas, regional clustering networking, data conflict tolerance, and device linkage interlocking. The core control logic is as follows: within the same independent control area, if any dual-sensing sensor detects the presence of a human body, the operating permissions of all air conditioning and lighting equipment in that area are immediately locked, prohibiting power outages and shutdowns. This mechanism completely eliminates the problem of unintended energy saving or power outages, providing accurate, stable, and fault-tolerant sensing data support for the system's adaptive energy-saving control.

[0026] Intelligent Air Conditioning Control Module: Adapts and connects to all air conditioning equipment in the office area. This module divides control permissions into two categories: general office areas and special important office areas. For general areas such as ordinary open workstations and general offices, it dynamically adjusts the air conditioning shutdown time, temperature control range, and equipment operation mode based on real-time personnel data, scene type, and ambient temperature parameters from dual sensors to achieve adaptive energy-saving control. For special scenarios such as executive offices and meeting rooms, it permanently exempts them from adaptive temperature control restrictions, does not execute any automatic temperature adjustment or temperature correction strategies, and fully retains manually set temperature and operating status to ensure a personalized user experience. All areas uniformly support long-term vacancy energy-saving control, and the vacancy delay parameter can be freely customized. This module collects and feeds back air conditioning operation status data in real time, taking into account both energy-saving effects in general areas and office comfort in special scenarios.

[0027] Intelligent Lighting Control Module: Replacing traditional lighting circuit breakers, this module features a remotely controllable, programmable intelligent lighting controller covering all lighting circuits in the office area. Breaking away from fixed-time, fixed-logic control models, it adaptively executes differentiated energy-saving strategies based on real-time personnel distribution, equipment vacancy status, and overtime scenarios, avoiding blanket shutdowns and adapting to various office usage scenarios. It also provides real-time feedback on lighting operation data.

[0028] Central Control Module: Serving as the core scheduling hub of the system, it coordinates and links all functional modules. Abandoning the traditional preset command issuance mode, it intelligently optimizes energy-saving control strategies based on dual-sensor fusion results, scenario-level judgment conclusions, and dynamic measurement data. It adaptively matches office usage needs with energy-saving targets, while also possessing anomaly alarm, fault tolerance, and full-domain collaborative control capabilities, forming an intelligent closed-loop management system.

[0029] Data storage module: It adopts encrypted storage to retain sensor deployment data, network operation logs, data conflict handling records, adaptive control strategies, equipment operation and alarm data, ensuring full-process data traceability and providing data support for system machine learning iteration, control strategy optimization and patent differentiation implementation.

[0030] Integrated Energy Management Visualization Platform: Equipped with a customized data visualization screen, it adds exclusive functions such as sensor network status monitoring, data conflict alarm, scene classification identification, and dynamic parameter correction records, realizing a comprehensive visualization display of system operation status, energy-saving data, and fault information, and improving the efficiency of intelligent management.

[0031] This invention employs a dual-sensor fusion detection scheme combining infrared thermal imaging and millimeter-wave radar. The two types of sensors complement each other, work collaboratively, and completely overcome the limitations of single-sensor technology. The infrared thermal imaging sensor accurately captures the distribution of heat sources on the human body, unaffected by ambient light intensity. The millimeter-wave radar sensor possesses penetrating detection capabilities, accurately identifying subtle movements of the human body in seated, stationary, or obstructed workstation states, avoiding missed or false detections caused by stationary or obstructed positions. The fusion of these two-dimensional data outputs a high-precision human body status signal, providing reliable data support for regional interlocking and linkage. Furthermore, this invention establishes differentiated and standardized sensor deployment specifications for different office area layouts, completely eliminating blind spots and ensuring comprehensive sensing accuracy. Open workstation area: A combined deployment mode of ceiling main sensor + side wall auxiliary sensor is adopted. The ceiling dual-sensor sensor is installed at a height of 2.8-3.2m, with a horizontal spacing of 4-5m. A single device can cover 3-4 rows of workstations, achieving full coverage of a large workstation area. The side wall dual-sensor sensor is installed at a height of 1.5-1.8m, and is placed at the column and wall positions between workstations to compensate for the sensing blind spots caused by workstation obstruction. Temperature sensors are evenly distributed at 6m intervals to collect the reference ambient temperature of the area. Private office area: Each private office is equipped with 1 ceiling dual-sensor sensor, 1 side wall dual-sensor sensor and 1 temperature sensor, which is suitable for small and enclosed office scenarios. Through the complementary detection of dual devices, the misjudgment of single sensors is eliminated. The devices are centrally deployed to achieve no dead angle coverage in the room. Conference room public areas: A high-density deployment scheme is adopted, with dual-sensor sensors on the ceiling spaced 3m apart, dual-sensor sensors on the side walls placed at entrances and corners, and a temperature sensor placed in the center of the room. This can accurately identify various states such as meeting occupancy, people being stationary, the venue being vacant, and the meeting ending. Blind spot reinforcement: For low-frequency, blind-spot-prone areas such as office corridors, equipment rooms, and corners, separate side-wall dual-sensor sensors and mini temperature sensors are deployed to achieve blind-spot-free sensing coverage throughout the entire office space.

[0032] Existing technologies offer no solution to the technical challenges of inconsistencies between infrared and millimeter-wave data and conflicting detection results from multiple sensors in a region during dual-sensor detection. This invention constructs a three-level confidence weighting judgment model for dual-sensor detection, enabling intelligent identification and fault-tolerant handling of conflicting data. Combined with a regional interlocking mechanism, this provides dual protection, completely eliminating control errors caused by conflicting sensor data. Conflict scenarios are defined as follows: Core conflicts include two types: first, millimeter-wave radar detects a person in the area (stationary / obstructed), but infrared thermal imaging provides no heat source feedback; second, infrared thermal imaging detects a valid heat source, but millimeter-wave radar fails to detect subtle human movement; and third, scenarios where multiple sensors in the same area produce inconsistent detection results. Three-level weighted judgment rules: Level 1 judgment (short-term anti-false alarm): If there is a short-term data conflict within 3 minutes, it is assumed that there are people in the area, the power-off permission of the device is locked, and the normal operation of the device is maintained; Level 2 judgment (scenario-assisted judgment): If the conflict lasts for 3-10 minutes, historical personnel activity data, office time characteristics, work and rest patterns, and camera data in the area are retrieved to assist in the judgment. During office hours on weekdays, priority is given to ensuring the operation of the device and power-off is prohibited. During non-office hours, the judgment is based on a comprehensive analysis of the entire area sensor data; Level 3 judgment (fault tolerance replacement): If the conflict lasts for more than 10 minutes, it is judged as a sensor abnormality. The system automatically triggers a fault alarm and pushes it to the management personnel. At the same time, the data of the area's backup sensor is activated to replace the fault, and the interlocking mechanism is continuously ensured to be effective.

[0033] Data Iteration and Optimization: All dual-sensor conflict events, regional interlock records, judgment logic and processing results are automatically archived. The system continuously iterates and optimizes the dual-sensor fusion weight and conflict judgment threshold through machine learning, realizing adaptive upgrades in sensing accuracy and linkage stability, which is different from the traditional fixed control logic.

[0034] This solution also incorporates a scenario-based adaptive and special scenario-based independent control strategy: This invention abandons the traditional one-size-fits-all preset rules of "fixed duration, fixed temperature, and fixed mode," and innovatively divides the system into a dual-dimensional control system of general routine scenarios and special important scenarios. It intelligently identifies six typical office scenarios, differentiates control permissions, and adds a special scenario-based independent exemption function and a customizable idle control duration function. This ensures energy-saving effects across the entire domain while also taking into account the exclusive user experience of important office scenarios, greatly improving intelligence and scenario adaptability.

[0035] Normal On-Duty Scenario: When personnel are continuously detected in the area, the system automatically fine-tunes the air conditioning temperature range (±1℃ precise adaptation) based on the number of people and ambient temperature. Lighting maintains stable operation, preventing excessive energy consumption and ensuring office comfort. Short-Term Absence Scenario (5-30 minutes): The system identifies temporary absences and does not immediately shut down equipment. It adaptively shortens the delay time for air conditioning and lighting shutdown, maintaining basic equipment operation and avoiding additional energy consumption and equipment damage caused by frequent start-ups and shutdowns. Long-Term Vacancy Scenario (Over 30 minutes of No Personnel): After a period of continuous vacancy, the system automatically executes a deep energy-saving strategy, precisely shutting down the corresponding air conditioning and lighting equipment. This completely eliminates energy waste from idling, and the vacancy determination time can be iteratively optimized based on the area's office habits, without a fixed, rigid threshold.

[0036] For overtime work scenarios: Intelligently identifies scattered personnel presence outside of office hours, accurately pinpoints their location within small areas, and keeps only certain equipment running while implementing deep energy-saving measures across the rest of the area, balancing overtime needs with overall energy efficiency. For seasonal transition scenarios: Utilizes temperature sensors to monitor indoor and outdoor temperature differences in real time, dynamically optimizing air conditioning operation modes, intelligently avoiding conflicting cooling and heating operations, and adaptively adjusting temperature control thresholds based on temperature fluctuations to adapt to seasonal temperature variations.

[0037] Independent Management for Special and Important Scenarios: Dedicated control permissions are set for leadership offices and meeting rooms, forming a differentiated management logic: Temperature Control Exemption: This scenario completely deviates from the system's automatic temperature control logic. The system will not automatically adjust the air conditioning temperature or switch operating modes based on ambient temperature or the number of people. Manually set temperature, fan speed, and operating modes are fully retained, eliminating system intervention and ensuring a high-end office and meeting experience; Idle Energy Saving Retention: While exempting temperature control permissions, it is continuously integrated into the overall idle linkage management system, relying on dual-sensor sensors to monitor the status of personnel in the area in real time, preventing long-term idle waste; Customizable Duration: The long-term idle judgment delay and energy-saving shutdown waiting time for this scenario can be arbitrarily adjusted in the backend. Idle management durations ranging from 10 minutes to 120 minutes can be flexibly set according to usage needs, adapting to diverse usage scenarios for leadership offices and meetings, achieving refined independent management that "does not interfere with temperature, only controls idle energy consumption, and allows for freely adjustable duration."

[0038] Virtual partitioning and buffered management for large open-plan offices: This system introduces virtual physical partitioning technology for administrative functions, breaking away from the limitations of traditional fixed physical partitions and one-size-fits-all management. Based on departmental administrative affiliation and workstation layout boundaries, the system virtually divides the large open office area into multiple independent administrative control sub-areas, such as finance, procurement, human resources, and technology. Each sub-area is independently matched with dual-sensor clusters and air conditioning and lighting equipment, achieving refined independent management by department. For differentiated overtime work conditions in large office areas, a core area + surrounding buffer zone linkage mechanism is set up: when personnel are detected in only a single department area... When employees are working overtime, the system prioritizes activating the air conditioning and lighting in the core area of ​​the department. Simultaneously, it activates the air conditioning in the adjacent perimeter of this area as a temperature control buffer layer. This buffer layer is established by adjusting the airflow direction and force of the air conditioning in the adjacent areas. Furthermore, this solution can collect the temperature of the target area and adjacent areas. Based on temperature changes, the airflow direction, and force of the air conditioning in the target and adjacent areas, it determines the impact of the current airflow direction on the air conditioning temperature, optimizing the airflow direction in the target and adjacent areas. The optimized airflow direction can be used to control the air conditioning the next time a temperature control buffer layer is established. Lighting is only kept on in the core overtime work area, while lighting in the surrounding buffer area is turned off. Alternatively, lighting in the surrounding areas can be controlled based on whether personnel are located at the edge of the target area. In extreme temperature conditions such as high temperatures in summer and low temperatures in winter, the system uses the surrounding air conditioning to buffer and balance the air convection temperature difference in large open spaces, completely solving the problem of discomfort and excessive temperature differences at the edge of the overtime work area. This also avoids the huge energy waste caused by operating all equipment in the entire area, achieving a two-way balance between personnel comfort and precise energy saving in large office scenarios. Meanwhile, each virtual administrative zone adopts the same regional interlocking, three-level fault tolerance, and customizable vacancy shutdown logic, resulting in a highly unified management and control system.

[0039] Based on the above embodiments, this application also provides an air conditioning and lighting management method based on an office scenario, such as... Figure 1 As shown, the method includes:

[0040] Step 102: Acquire first sensor data and second sensor data corresponding to the target area. The first sensor data and second sensor data include first data determined by an infrared thermal imaging sensor and second data determined by millimeter-wave radar. At least two dual-detection sensors can be installed in the target area to analyze the data based on at least the first sensor data and the second sensor data. If one sensor data indicates that someone is in the target area, the judgment result is "occupied." If both sensor data confirm that no one is in the target area, the judgment result is "no one is in the target area." In an office setting, the two sensing devices can be installed on the ceiling and side wall, respectively. Specifically, as an optional embodiment, the first sensor data is determined based on a first sensing device deployed on the ceiling of the target area. The first sensing device is installed at a height between 2.8 meters and 3.2 meters and consists of an infrared thermal imaging sensor and a millimeter-wave radar. The second sensor data is determined based on a second sensing device deployed on the side wall of the target area. The second sensing device is installed at a height between 1.5 meters and 1.8 meters and consists of an infrared thermal imaging sensor and a millimeter-wave radar.

[0041] Step 104: Based on the data from the first sensor and the second sensor, determine whether there is a human body in the target area and form a judgment result.

[0042] Step 106: When it is determined that a human body exists in the target area based on the judgment result, set a prohibition to shut down the area air conditioning and area lighting equipment in the target area.

[0043] Step 108: When it is determined from the judgment result that there are no human bodies in the target area and the first preset time period has been reached, obtain the office status information, and determine the control scheme for the area air conditioning and area lighting equipment in the target area based on the office status information. The office status information includes: a first state corresponding to the working period and a second state corresponding to the off-get off work period. The control scheme includes a scheme for controlling the area air conditioning and area lighting equipment to operate at low power consumption corresponding to the first state and a scheme for turning off the area air conditioning and area lighting equipment corresponding to the second state.

[0044] This application can be applied to air conditioning and lighting management in office settings. It utilizes both infrared thermal imaging and millimeter-wave radar to detect people within a given area. Based on the detection results, it determines the corresponding control scheme for air conditioning and lighting equipment. When a person temporarily leaves the target area, the air conditioning and lighting equipment can operate with low power consumption; when a person leaves the target area for an extended period, the air conditioning and lighting equipment are turned off to reduce energy consumption. This solution employs dual detection using infrared thermal imaging and millimeter-wave radar, enabling more accurate identification of both dynamic and static human bodies and avoiding misidentification caused by static human bodies.

[0045] This solution can acquire working hours (office hours) and, based on historical judgment results, determine overtime hours outside of working hours. When the target area is empty, it analyzes whether the current time is within working hours or overtime hours to determine the office status and determine the corresponding processing plan. Specifically, as an optional embodiment, acquiring office status information includes: determining whether the current time is within working hours or overtime hours; if yes, the office status information is determined to be in the first state; if no, it determines whether the absence of a person in the target area has reached a second preset time; if the second preset time has been reached, the office status information is determined to be in the second state. If the current time is not within working hours or overtime hours, it can analyze whether the absence of a person in the target area has exceeded the second preset time; if so, the air conditioning and lighting are turned off. Furthermore, this solution can also set up a camera capable of acquiring video of the target area, thereby acquiring the corresponding video and performing behavioral analysis on the people in the video. This behavioral analysis can analyze whether the target person has performed actions corresponding to leaving get off work, such as whether they have turned off their computer, whether they have clocked in, or whether they have carried personal belongings (such as a backpack), to determine whether the person has left. Specifically, as an optional embodiment, obtaining office status information includes: acquiring video data corresponding to the target area based on a first preset duration; performing behavioral analysis on the target person in the video data to determine the behavioral analysis result; if the behavioral analysis result determines that the target person has performed the "leaving work" action, then the office status information is determined to be the second state. The behavioral analysis in this solution can be achieved by pre-setting recognition rules corresponding to the "leaving work" action and conducting general training on a large number of employees' "leaving get off work" behaviors. This training is then combined with historical data corresponding to the target person to generate a matching "leaving get off work" action for the target person, accurately identifying the target person's actions. This solution only collects and analyzes the corresponding data after the target person has authorized it. Furthermore, this solution can identify the target person's permanent location in the video and determine the target person based on their permanent location. Historical data corresponding to the target person is also obtained based on their permanent location.

[0046] This solution can also perform conflict analysis on infrared thermal imaging and millimeter-wave radar. If a short-term conflict occurs, the operation of air conditioning and lighting equipment is maintained. If a long-term conflict occurs, it indicates that the infrared thermal imaging and millimeter-wave radar have malfunctioned, and the corresponding sensor data is avoided in subsequent detection. Specifically, as an optional embodiment, the method further includes: performing conflict analysis based on the judgment result and the first and second data in the first or second sensor data. The conflict analysis includes whether the human recognition results corresponding to the first and second data are consistent; when the first and second data conflict but the duration does not reach the first duration, the operation of the area air conditioning and area lighting equipment is maintained; when the first and second data conflict but the duration reaches the first duration but does not reach the second duration, scene judgment data is obtained, and a conflict management scheme for the area air conditioning and area lighting equipment is determined; when the first and second data conflict but the duration reaches the second duration, it is confirmed that the target sensing device corresponding to the first and second data has malfunctioned. Specifically, as an optional embodiment, the first duration and the second duration are determined after analyzing the conflict records corresponding to historical conflicts.

[0047] This solution can use scene judgment data to help determine whether there are people in the area corresponding to the sensor that caused the conflict. If it is during working hours, it can help determine whether there are people in the corresponding area. The historical judgment results of the target area can be the judgment results of whether there are people or not at the same time of the previous day (such as the historical period time corresponding to the current time). Alternatively, it can use images acquired by the camera to perform image recognition to determine whether there are people or not. Specifically, as an optional embodiment, the step of acquiring scene judgment data and determining the conflict management scheme of the area air conditioning and area lighting equipment includes: acquiring scene judgment data, which includes at least one of the following data: working hours, historical judgment results of the target area, and image data of the camera in the target area; determining whether there are people in the target area based on the scene judgment data, so as to determine the conflict management scheme of the area air conditioning and area lighting equipment. The conflict management scheme includes turning off the area air conditioning and area lighting equipment and maintaining the working state of the area air conditioning and area lighting equipment.

[0048] Each area can be divided according to company departments, and air conditioning and lighting equipment can also be deployed or associated according to company departments to reasonably control overtime scenarios within the same department. For overtime scenarios with a small number of people working in the target area, this solution can identify the location of personnel and dynamically adjust the air conditioning direction of the target area and adjacent areas, while maintaining the operation of the lighting equipment in the target area to more reasonably maintain the temperature and lighting of the target area. Specifically, as an optional embodiment, the method further includes: determining the human location information of the target area when there is no one in the adjacent area of ​​the target area and the number of people in the target area is less than a preset value; based on the human location information of the target area, turning on the regional air conditioning in the target area and adjacent areas, and calculating the air conditioning direction information of the regional air conditioning in the target area and adjacent areas based on the installation location of the regional air conditioning, so as to perform linkage control of the orientation of the regional air conditioning in the target area and adjacent areas according to the air conditioning direction information; based on the human location information of the target area, determining whether the target person is close to the boundary of the target area, and generating an auxiliary light turning-on command when the target person is close to the boundary of the target area, the auxiliary light turning-on command is used to turn on the regional lighting equipment in the adjacent area. This solution can control the air conditioning direction based on the human location, avoiding direct air conditioning blowing on people.

[0049] This solution can also dynamically adjust the air conditioning airflow direction based on temperature changes in the target area and adjacent areas. Specifically, as an optional embodiment, the method further includes: acquiring temperature data corresponding to temperature sensors in the target area and adjacent areas during the linkage control process; analyzing the impact of wind direction information on the temperature of the target area and adjacent areas based on wind direction information and temperature data, in order to optimize the wind direction information in the target area and adjacent areas. This solution can also collect the temperature of the target area and adjacent areas, and determine the impact of the current wind direction on the air conditioning temperature based on temperature changes, air conditioning airflow direction, and wind force in the target area and adjacent areas, in order to optimize the air conditioning airflow direction in the target area and adjacent areas. When establishing a temperature control buffer layer again, the air conditioning can be controlled according to the optimized wind direction scheme.

[0050] Based on the above embodiments, this application also provides an air conditioning and lighting management device for an office setting, such as... Figure 2 As shown, the device includes:

[0051] The sensor data acquisition module 202 is used to acquire first sensor data and second sensor data corresponding to the target area. The first sensor data and second sensor data include first data determined based on an infrared thermal imaging sensor and second data determined based on a millimeter-wave radar.

[0052] The judgment result acquisition module 204 is used to determine whether a human body exists in the target area based on the data from the first sensor and the data from the second sensor, and to form a judgment result.

[0053] The shutdown command determination module 206 is used to set a prohibition shutdown command for the area air conditioning and area lighting equipment in the target area when it is determined that a human body exists in the target area based on the judgment result.

[0054] The control scheme determination module 208 is used to obtain office status information when it is determined from the judgment result that there are no human bodies in the target area and a first preset time period has been reached, so as to determine the control scheme of the area air conditioning and area lighting equipment in the target area based on the office status information. The office status information includes: a first state corresponding to the working period and a second state corresponding to the off-get off work period; the control scheme includes a scheme for controlling the area air conditioning and area lighting equipment to operate at low power consumption corresponding to the first state and a scheme for turning off the area air conditioning and area lighting equipment corresponding to the second state.

[0055] The data processing flow of this application embodiment is similar to the data processing flow of the above method embodiment. For specific implementation details, please refer to the specific implementation details of the above method embodiment, which will not be repeated here.

[0056] This application can be applied to air conditioning and lighting management in office settings. It utilizes both infrared thermal imaging and millimeter-wave radar to detect people within a given area. Based on the detection results, it determines the corresponding control scheme for air conditioning and lighting equipment. When people temporarily leave the target area, the air conditioning and lighting equipment can operate with low power consumption; when people leave for an extended period, the air conditioning and lighting equipment are turned off to reduce energy consumption. This solution employs dual detection with infrared thermal imaging and millimeter-wave radar, enabling more accurate identification of both dynamic and static human bodies, avoiding misidentification due to static human presence. Furthermore, this solution can perform conflict analysis between infrared thermal imaging and millimeter-wave radar. If a short-term conflict occurs, the air conditioning and lighting equipment continue operating; if a long-term conflict occurs, it indicates a malfunction in the infrared thermal imaging and millimeter-wave radar, and the corresponding sensor data is avoided in subsequent detections. For scenarios involving a small number of people working overtime in the target area, this solution can identify the location of personnel and dynamically adjust the air conditioning airflow direction in the target area and adjacent areas, while maintaining the operation of the lighting equipment in the target area, thus more effectively maintaining the temperature and lighting in the target area.

[0057] Based on the above embodiments, this application also provides an electronic device, including: a memory and at least one processor; the memory is used to store computer execution instructions; the at least one processor is used to execute the computer execution instructions stored in the memory, causing the at least one processor to perform the method as described in the above embodiments.

[0058] This invention also provides a computer-readable storage medium storing a computer program. When executed by a processor, this computer program implements the various processes of the above-described data processing method embodiments and achieves the same technical effects. To avoid repetition, it will not be described again here. The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0059] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0060] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0061] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0062] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1The steps of the function specified in one or more boxes.

[0063] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0064] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0065] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0066] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0067] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0068] The above are merely embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A method for managing air conditioning and lighting in an office setting, characterized in that, The method includes: Acquire first sensor data and second sensor data corresponding to the target area. The first sensor data and second sensor data include first data determined based on an infrared thermal imaging sensor and second data determined based on millimeter-wave radar. Based on the data from the first sensor and the second sensor, it is determined whether a human body exists in the target area, and a judgment result is formed; When it is determined that a human body exists in the target area based on the judgment results, a command to prohibit shutdown is set for the area air conditioning and area lighting equipment in the target area; When it is determined that there are no human beings in the target area and the first preset time period has been reached based on the judgment result, office status information is obtained, and a control scheme for the area air conditioning and area lighting equipment in the target area is determined based on the office status information. The office status information includes: a first state corresponding to the working period and a second state corresponding to the off-get off work period; the control scheme includes a scheme for controlling the area air conditioning and area lighting equipment to operate at low power consumption corresponding to the first state and a scheme for turning off the area air conditioning and area lighting equipment corresponding to the second state.

2. The method according to claim 1, characterized in that, The first sensor data is determined based on a first sensing device deployed on the ceiling of the target area, with the first sensing device installed at a height between 2.8 meters and 3.2 meters. The first sensing device consists of an infrared thermal imaging sensor and a millimeter-wave radar. The second sensor data is determined based on a second sensing device deployed on the side wall of the target area, with the second sensing device installed at a height between 1.5 meters and 1.8 meters. The second sensing device consists of an infrared thermal imaging sensor and a millimeter-wave radar.

3. The method according to claim 1, characterized in that, The acquisition of office status information includes: Determine whether the current time is within office hours or overtime hours; if so, determine the office status information as the first state; if not, determine whether the target area does not have a human body and whether the second preset time has been reached; if the second preset time has been reached, determine the office status information as the second state.

4. The method according to claim 3, characterized in that, The acquisition of office status information includes: Based on the first preset duration, video data corresponding to the target area is acquired, and behavioral analysis is performed on the target person in the video data to determine the behavioral analysis results. If the behavior analysis results determine that the target person has performed the action of leaving work, then the office status information is determined to be the second state.

5. The method according to claim 1, characterized in that, The method further includes: Based on the judgment result and the first and second data in the first sensor data or the second sensor data, a conflict analysis is performed. The conflict analysis includes whether the human body recognition results corresponding to the first data and the second data are consistent. When the first and second data conflict and the duration does not reach the first duration, maintain the operation of the area air conditioning and area lighting equipment. When the first data and the second data conflict and the duration reaches the first duration but not the second duration, obtain scene judgment data and determine the conflict management scheme for the area air conditioning and area lighting equipment. When the first data and the second data conflict and the duration reaches the second duration, it is confirmed that the target sensing device corresponding to the first data and the second data has malfunctioned.

6. The method according to claim 5, characterized in that, The process of acquiring scene determination data and determining a conflict management scheme for area air conditioning and area lighting equipment includes: Acquire scene determination data, which includes at least one of the following: working time period, historical determination results of the target area, and image data of the camera in the target area; Based on scene judgment data, it is determined whether there are human bodies in the target area, so as to determine the conflict management scheme for the area air conditioning and area lighting equipment. The conflict management scheme includes turning off the area air conditioning and area lighting equipment and maintaining the working status of the area air conditioning and area lighting equipment.

7. The method according to claim 6, characterized in that, The first duration and the second duration are determined after analyzing the conflict records corresponding to the historical conflicts.

8. The method according to claim 1, characterized in that, The method further includes: When there are no people in the adjacent areas of the target area and the number of people in the target area is less than a preset value, determine the human location information of the target area. Based on the human location information in the target area, the regional air conditioning in the target area and adjacent areas is turned on, and the wind direction information of the regional air conditioning in the target area and adjacent areas is calculated in combination with the installation location of the regional air conditioning, so as to control the orientation of the regional air conditioning in the target area and adjacent areas in conjunction with the wind direction information. Based on the human body location information in the target area, it is determined whether the target human body is close to the boundary of the target area. When the target human body is close to the boundary of the target area, an auxiliary light activation command is generated. The auxiliary light activation command is used to activate the area lighting equipment in the adjacent area.

9. The method according to claim 8, characterized in that, The method further includes: During the linkage control process, temperature data corresponding to the temperature sensors in the target area and adjacent areas are acquired; Based on wind direction information and temperature data, the impact of wind direction information on the temperature of the target area and adjacent areas is analyzed in order to optimize the wind direction information of the target area and adjacent areas.

10. An air conditioning and lighting management device for an office setting, characterized in that, The device includes: The sensor data acquisition module is used to acquire first sensor data and second sensor data corresponding to the target area. The first sensor data and second sensor data include first data determined based on an infrared thermal imaging sensor and second data determined based on a millimeter-wave radar. The judgment result acquisition module is used to determine whether a human body exists in the target area based on the data from the first sensor and the data from the second sensor, and to form a judgment result. The shutdown command determination module is used to set a prohibition shutdown command for the area air conditioning and area lighting equipment in the target area when it is determined that a human body exists in the target area based on the judgment result. The control scheme determination module is used to acquire office status information when it is determined that there are no human beings in the target area and a first preset time period has been reached, based on the judgment result. The module then determines the control scheme for the area air conditioning and area lighting equipment in the target area based on the office status information. The office status information includes a first state corresponding to the working period and a second state corresponding to the off-get off work period. The control scheme includes a scheme for controlling the area air conditioning and area lighting equipment to operate at low power consumption in the first state and a scheme for turning off the area air conditioning and area lighting equipment in the second state.

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