Building low-carbon operation management robot and control method thereof

By combining a building low-carbon operation management robot with radar and camera modules to generate detection maps and monitor environmental parameters in real time, the problem of low energy consumption management efficiency in public buildings has been solved, and precise adjustment of energy-consuming equipment and low-carbon energy saving have been achieved.

CN117565074BActive Publication Date: 2026-07-31XIAMEN JINMING ENERGY SAVING TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAMEN JINMING ENERGY SAVING TECH
Filing Date
2023-11-20
Publication Date
2026-07-31

AI Technical Summary

Technical Problem

Existing energy management methods for public buildings are inefficient and prone to errors, and cannot effectively combine external natural conditions for energy-saving regulation.

Method used

A building low-carbon operation management robot is adopted, equipped with radar and camera modules to scan the environment, generate detection maps, and monitor environmental parameters in real time by combining multiple detection modules, and adjust energy-consuming equipment according to the detection results.

Benefits of technology

It improves the accuracy of energy-consuming equipment regulation, reduces labor resource consumption, achieves low-carbon energy saving, and reduces the phenomenon of erroneous regulation and shutdown of energy-consuming equipment.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This invention discloses a building low-carbon operation management robot and its control method. The robot includes: a first control module, a positioning module, a motion module, and a first communication module disposed at the lower part of the robot; and a second control module, a detection module, and a second communication module disposed at the upper part of the robot. The method includes: receiving an inspection command through the first control module, activating the motion module and the positioning module to begin inspection; scanning the inspected environment through the positioning module to create a detection map, and calculating the detection position through the detection map; stopping when the motion module reaches the detection position, and activating the second control module to begin detection; detecting the indoor environment through the detection module, and adjusting energy-consuming equipment based on the detection results and the detection map. This achieves low-carbon and energy-saving management in public buildings.
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Description

Technical Field

[0001] This invention relates to the field of energy-saving monitoring technology, and in particular to a building low-carbon operation management robot and its control method. Background Technology

[0002] With the acceleration of urbanization, the number of public buildings in cities is gradually increasing, and the energy consumption of public buildings is also gradually increasing, making the problem of energy consumption growth in existing public buildings increasingly prominent.

[0003] Public building management units typically use the following methods to reduce the energy consumption of energy-consuming equipment in public buildings:

[0004] Firstly, some older public buildings have energy-consuming equipment that has been installed and used for a long time, and it is not possible to completely replace the energy-saving solution. The common practice is to have personnel conduct inspections at fixed times, turning off or adjusting energy-consuming equipment in less frequented areas, such as air conditioners, ventilation systems, and lighting. This type of solution requires regular, fixed-point patrols, which is inefficient and prone to errors.

[0005] Secondly, by installing sensors near energy-consuming devices, the network platform can centrally control the opening and closing of these devices. However, since the sensors are mostly installed in fixed locations or near the energy-consuming devices, these fixed locations can lead to detection errors and thus adjustment errors. This type of solution often misjudges the surrounding environment, causing the energy-consuming devices to be adjusted or shut down incorrectly.

[0006] Third, multiple sensors and cameras are installed in public areas to ensure comprehensive environmental monitoring. Energy-consuming equipment is turned on and off through a networked platform. However, this type of solution consumes a lot of electricity due to the sensors and cameras. It also only judges the environmental conditions inside the public building without considering the natural conditions outside the building, so the energy-saving effect is often poor, or even the energy consumption is higher.

[0007] The purpose of this invention is to design an energy-saving monitoring system and method based on intelligent robots to address at least one of the problems existing in the prior art. Summary of the Invention

[0008] In view of this, the purpose of this invention is to propose a building low-carbon operation management robot and its control method, which can solve the above-mentioned problems.

[0009] This invention provides a control method for a building low-carbon operation management robot. The method is based on a building low-carbon operation management robot, which includes: a first control module, a positioning module, a motion module, and a first communication module disposed at the lower part of the robot, and a second control module, a detection module, and a second communication module disposed at the upper part of the robot, for use in public buildings.

[0010] The method includes:

[0011] The first control module receives the inspection command, activates the motion module and the positioning module, and begins the inspection.

[0012] The positioning module scans the inspected environment, creates a detection map, and calculates the detection location using the detection map.

[0013] When the motion module moves to the detection position and stops, the second control module is activated to start the detection.

[0014] The indoor environment is detected by the detection module, and the energy-consuming equipment is adjusted based on the detection results and the detection map.

[0015] Furthermore, the first control module is electrically connected to the positioning module, the motion module, and the first communication module, respectively;

[0016] The positioning module is used to locate the position and path of the robot and establish a detection map;

[0017] The motion module is used to drive the robot to move according to the position and path located by the positioning module;

[0018] The first communication module is used to communicate with the corresponding server;

[0019] The second control module is electrically connected to the detection module and the second communication module respectively;

[0020] The detection module is used to detect the environmental parameters of the space where the robot is currently operating, and to determine and adjust the parameters based on the environmental parameters.

[0021] The second communication module is used to control the operating mode of the energy-consuming equipment according to the adjustment parameters.

[0022] Furthermore, the step of receiving the inspection command through the first control module, activating the motion module and the positioning module, and starting the inspection includes:

[0023] The server issues inspection instructions, which include: inspection time, inspection route, and inspection content.

[0024] The first control module starts the motion module and the positioning module according to the inspection time;

[0025] The robot moves along the inspection route via the motion module, and the positioning module locates the robot's position coordinates in real time.

[0026] When the positioning module locates the stop position, it sends a stop command to the motion module through the first control module.

[0027] Furthermore, the positioning module includes:

[0028] A radar module is located at the lower forward end of the robot and is used to determine the distance between the robot and environmental obstacles.

[0029] A camera module is located at the lower forward end of the robot and is used to identify environmental obstacles and energy-consuming devices.

[0030] Furthermore, the step of scanning the inspected environment through the positioning module, creating a detection map, and calculating the detection location through the detection map includes:

[0031] The radar module scans the surrounding environment and obtains the location information of walls and obstacles based on radar reflection information to create a basic detection map.

[0032] The camera module acquires image information of the surrounding environment, extracts the location features of obstacles and energy-consuming devices based on the environmental image information, and overlays them onto the basic detection map to generate the detection map.

[0033] The detection area is divided according to the detection map, and the center of the detection area is selected as the detection location.

[0034] Furthermore, the detection module includes at least one of the following modules:

[0035] An air detection module is used to detect the concentration of carbon dioxide in the space where the robot is located;

[0036] A temperature detection module is used to detect the air temperature in the space where the robot is located;

[0037] A humidity detection module is used to detect the air humidity in the space where the robot is located;

[0038] A light detection module is used to detect the lighting brightness of the space where the robot is located;

[0039] The infrared detection module is used in conjunction with the camera module to detect the number of people in the space where the robot is located, and works with the air detection module, temperature detection module, humidity detection module, and light detection module to determine the adjustment parameters.

[0040] Furthermore, the step of stopping when the motion module reaches the detection position and activating the second control module to begin detection includes:

[0041] The second control module is activated by the first control module;

[0042] The air detection module detects and records the concentration of carbon dioxide at the detection location where the robot is located;

[0043] The temperature at the detection location of the robot is detected and recorded by the temperature detection module.

[0044] The humidity detection module detects and records the humidity at the detection location where the robot is located;

[0045] The infrared detection module and camera module detect and record the number of people at the detection location where the robot is located;

[0046] The light detection module detects and records the light intensity at the detection location where the robot is located.

[0047] Furthermore, the step of detecting the indoor environment through the detection module and adjusting the energy-consuming equipment based on the detection results and the detection map includes:

[0048] Based on the detection map, obtain the location coordinates of the energy-consuming device, and calculate the straight-line distance between the energy-consuming device and each detection location;

[0049] Select the detection values ​​of the n detection locations that are closest to the energy-consuming equipment in a straight line. The detection values ​​include: temperature value, carbon dioxide concentration value, humidity value, number of people in the room, and light intensity.

[0050] Calculate the average value of the detection values ​​of the n detection positions that are closest to the energy-consuming device in a straight line, and use this average value as an adjustment parameter;

[0051] Adjust the operating mode of the corresponding energy-consuming equipment according to the adjustment parameters.

[0052] Furthermore, the operating mode of the corresponding energy-consuming device is adjusted according to the adjustment parameters:

[0053] When the temperature value is not between 70% and 80% of the outdoor temperature, and the number of people indoors is ≥1, adjust the air conditioner temperature to match the outdoor temperature.

[0054] When the concentration of carbon dioxide is not between 80-100% of the outdoor carbon dioxide concentration, and the number of people indoors is ≥1, adjust the fresh air frequency of the air conditioner.

[0055] When the humidity value is higher than the outdoor humidity and the number of people indoors is greater than or equal to 1, the dehumidification mode of the air conditioner is turned on.

[0056] When the light intensity value is higher or lower than the comfortable brightness for the human eye, and the number of people in the room is ≥1, adjust the brightness of the lighting equipment.

[0057] Furthermore, the first control module is electrically connected to a cleaning module, which is located at the forward end of the lower part of the robot and is used for sweeping and washing the ground where the robot is located.

[0058] The beneficial effects of this invention are:

[0059] Firstly, the robot of this invention can be used in some older public buildings where energy-consuming equipment has been installed and used for a long time and the energy-saving solution cannot be completely replaced. This makes it impossible to carry out large-scale energy-saving modifications in existing public buildings, such as replacing energy-consuming equipment with network-enabled equipment, rewiring indoor networks, or adding sensors that cannot draw power. By using the robot of this invention for scheduled and fixed-point inspections, labor resources can be saved. At the same time as the inspection, the robot can also clean and wash the floor inside the target building, achieving multi-functional reuse.

[0060] Secondly, in this application, the robot can simultaneously determine the detection map through the radar module and the camera module during movement. The detection map includes the positions of fixed obstacles and the positional features of energy-consuming devices, which facilitates the division of detection areas. The detection areas need to avoid the positions of fixed obstacles, and the number of detection areas needs to be determined according to the number of energy-consuming devices to improve the accuracy of detection.

[0061] Third, the average value of the detection values ​​from the three or four nearest detection locations is selected as the adjustment parameter based on the location of the energy-consuming equipment. Multiple environmental parameters surrounding the energy-consuming equipment are used to determine the adjustment parameter, greatly improving the accuracy of the adjustment. The adjustment in this application is based on outdoor environmental parameters for determination and optimization, ensuring that the energy-consuming equipment and the external environmental values ​​do not differ too much, thus achieving low-carbon and energy-saving performance of the energy-consuming equipment. Attached Figure Description

[0062] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0063] Figure 1 This is a functional module diagram of a building low-carbon operation and management robot.

[0064] Figure 2 This is an external structural diagram of a building low-carbon operation management robot.

[0065] Figure 3 It is a flowchart of the method. Detailed Implementation

[0066] To facilitate understanding by those skilled in the art, the structure of the present invention will now be described in further detail with reference to the accompanying drawings. It should be understood that, unless otherwise specified, the order of the steps mentioned in this embodiment can be adjusted according to actual needs, and they can even be executed simultaneously or partially simultaneously.

[0067] like Figure 1 As shown, this embodiment of the invention provides a building low-carbon operation management robot, comprising:

[0068] The first control module, positioning module, motion module, and first communication module are located at the lower part of the robot, and the second control module, detection module, and second communication module are located at the upper part of the robot, for use in public buildings;

[0069] The first control module is electrically connected to the positioning module, the motion module, and the first communication module respectively;

[0070] The positioning module is used to locate the position and path of the robot and establish a detection map;

[0071] Furthermore, such as Figure 2 As shown, the positioning module includes:

[0072] A radar module is located at the lower forward end of the robot and is used to determine the distance between the robot and environmental obstacles.

[0073] A camera module is located at the lower forward end of the robot and is used to identify environmental obstacles and energy-consuming devices.

[0074] The motion module is used to drive the robot to move according to the position and path located by the positioning module;

[0075] The first communication module is used to communicate with the corresponding server;

[0076] Furthermore, the first control module is electrically connected to a cleaning module, which is located at the forward end of the lower part of the robot and is used for sweeping and washing the ground where the robot is located.

[0077] In this embodiment, the first control module primarily obtains inspection commands from a corresponding server to control the robot's movement and positioning. It utilizes radar and cameras to scan the robot's path and generate a detection map, while also employing radar and cameras for obstacle avoidance during movement. The first control module also controls a cleaning module to sweep and wash the ground during robot movement. The modules controlled by the first control module are mainly installed on the lower part of the robot. Since the cleaning module needs to perform simultaneous sweeping and washing as the robot moves forward, it needs to be installed on the lower forward end of the robot. Similarly, the radar and camera modules, which need to perform obstacle avoidance during forward movement, also need to be installed on the lower forward end of the robot.

[0078] The second control module is electrically connected to the detection module and the second communication module respectively;

[0079] The detection module is used to detect the environmental parameters of the space where the robot is currently operating, and to determine and adjust the parameters based on the environmental parameters.

[0080] The second communication module is used to control the operating mode of the energy-consuming equipment according to the adjustment parameters.

[0081] Furthermore, the detection module includes at least one of the following modules:

[0082] An air detection module is used to detect the concentration of carbon dioxide in the space where the robot is located;

[0083] A temperature detection module is used to detect the air temperature in the space where the robot is located;

[0084] A humidity detection module is used to detect the air humidity in the space where the robot is located;

[0085] A light detection module is used to detect the lighting brightness of the space where the robot is located;

[0086] The infrared detection module is used in conjunction with the camera module to detect the number of people in the space where the robot is located, and works with the air detection module, temperature detection module, humidity detection module, and light detection module to determine the adjustment parameters.

[0087] In this embodiment, the second control module primarily controls the robot's energy-saving detection section. When the robot is not performing detection, it is in a sleep state. Since the robot is powered by a battery, the second control module only activates when detection is required, further saving energy. The second control module obtains environmental parameters from the detection module and then adjusts parameters accordingly. An infrared detection module combined with a camera module detects the number of people indoors. The detected numbers are matched; if they match, the number is output; otherwise, the arithmetic mean of the two counts is calculated as the output number. The second communication module includes an infrared communication module, a Bluetooth module, and a radio frequency module, used by the second control module to control the operating modes of energy-consuming devices (central air conditioning, lighting equipment, etc.), such as central air conditioning cooling mode, heating mode, and fresh air mode.

[0088] Furthermore, the first control module is connected to a voice module for energy-saving prompts. Specifically, the camera module identifies the open / closed state of indoor curtains in conjunction with the on / off state of indoor lighting to provide energy-saving prompts. If the curtains are closed and the lighting is on, a prompt to open the curtains is given, and the voice module alerts those nearby. After the curtains are opened, the brightness is further detected by the detection module, and the lighting equipment is adjusted to reduce the brightness, thus saving energy. The camera module also identifies the open / closed state of indoor windows in conjunction with the on / off state of indoor air conditioning to provide energy-saving prompts. If the window is open and the air conditioning is on, a prompt to close the window is given, and the voice module alerts those nearby, thus saving air conditioning energy. If the camera module continuously detects that the curtains are closed or the window is open, relevant information can be sent to the server via the first communication module, and the server will notify nearby staff to check the situation on-site.

[0089] like Figure 3 As shown, the present invention provides a control method for a building low-carbon operation management robot, comprising:

[0090] S1 receives the inspection command through the first control module, starts the motion module and the positioning module, and begins the inspection.

[0091] S101 issues an inspection instruction through the server, wherein the inspection instruction includes: inspection time, inspection route, and inspection content.

[0092] S102 The first control module starts the motion module and the positioning module according to the inspection time;

[0093] S103 moves along the inspection route via the motion module, and the positioning module locates the robot's position coordinates in real time.

[0094] S104 When the positioning module locates the stop position, it sends a stop command to the motion module through the first control module.

[0095] In this step, the robot of the present invention can be used in some public buildings with older buildings. Due to the long service life of the energy-consuming equipment in the building and the inability to completely replace the energy-saving solution, it is not possible to carry out large-scale energy-saving modifications in the existing public buildings, such as replacing energy-consuming equipment with network-enabled equipment, rewiring indoor networks, or adding sensors that cannot be powered. By using the robot of the present invention to perform timed and fixed-point inspections, labor resources can be saved. At the same time as the inspection, the robot can also clean and wash the ground inside the target building, realizing multi-functional reuse.

[0096] S2 scans the inspected environment through the positioning module, creates a detection map, and calculates the detection location through the detection map;

[0097] S201 scans the surrounding environment through the radar module, obtains the location information of walls and obstacles based on radar reflection information, and creates a basic detection map;

[0098] S202 acquires surrounding environmental image information through the camera module, extracts the location features of obstacles and energy-consuming equipment based on the environmental image information, and overlays them onto the basic detection map to generate the detection map;

[0099] S203 calculates and divides the area to be detected based on the detection map, and selects the center position of the detection area as the detection position.

[0100] In this step, because there are multiple activity areas within the public building, each with a relatively large area, and these activity areas may frequently change the position of obstacles due to events, the location of crowd gatherings will also change with the changes in obstacles within the activity areas. Therefore, if detection is only performed using a single or multiple fixed-position sensors, there will be a certain detection error. The robot in this application can simultaneously determine a detection map through radar and camera modules during movement. The detection map includes the positions of fixed obstacles and the positional characteristics of energy-consuming devices, facilitating the division of detection areas. Detection areas need to avoid fixed obstacle positions, and the number of detection areas needs to be determined based on the number of energy-consuming devices. For example, if an activity area has two central air conditioners, the activity area can be divided into 2*4 detection areas by subtracting the area of ​​the fixed obstacle area, ensuring that the area around each central air conditioner is detected. The center of the detection area is used as the detection location. If the center of the detection area is obstructed by a fixed obstacle, the detection of that area is abandoned. The number of detection areas can be adjusted according to the actual situation.

[0101] S3 stops when it moves to the detection position via the motion module, and the second control module is activated to start detection.

[0102] S301 wakes up the second control module through the first control module, and the second control module starts;

[0103] S302 detects and records the concentration of carbon dioxide at the detection location where the robot is located through the air detection module;

[0104] S303 detects and records the temperature at the detection location of the robot using the temperature detection module;

[0105] S304 detects and records the humidity at the detection location of the robot using the humidity detection module;

[0106] S305 uses the infrared detection module and camera module to detect and record the number of people at the detection location where the robot is located;

[0107] S306 uses the light detection module to detect and record the light intensity at the detection location where the robot is located.

[0108] In this step, the second control module remains in sleep mode during robot movement to reduce power consumption. It is only awakened and activated when the robot stops at its designated stop position. At this point, the robot is at the stop position, which can be pre-set, typically the center of an indoor area or a densely populated area, and begins monitoring the environment for carbon dioxide concentration, temperature, number of people, and light intensity.

[0109] S4 uses the detection module to detect the indoor environment and adjusts the energy-consuming equipment based on the detection results and the detection map.

[0110] S401 Based on the detection map, obtain the location coordinates of the energy-consuming device and calculate the straight-line distance between the energy-consuming device and each detection location;

[0111] S402 selects the detection values ​​of the n detection locations that are closest to the energy-consuming device in a straight line. The detection values ​​include: temperature value, carbon dioxide concentration value, humidity value, number of people in the room, and light intensity.

[0112] S403 calculates the average value of the detection values ​​of the n detection positions that are closest to the energy-consuming device in a straight line, and uses this average value as an adjustment parameter.

[0113] In this step, multiple detection areas are calculated based on the number of energy-consuming devices before detection, with the center of each area serving as the detection position. Therefore, the activity area of ​​a public building contains several detection positions, each with a set of detection values. Thus, the average of the detection values ​​from the three or four closest detection positions can be selected as the adjustment parameter based on the location of the energy-consuming device. Using multiple environmental parameters surrounding the energy-consuming device to determine the adjustment parameter greatly improves the accuracy of the adjustment. Since the working position and adjustment position of the energy-consuming device are separate and fixed, they can be manually set on the detection map. The robot moves to the adjustment position of the energy-consuming device and communicates with it via the second communication module for adjustment.

[0114] S404 adjusts the operating mode of the corresponding energy-consuming device according to the adjustment parameters.

[0115] S4041 When the temperature value is not between 70% and 80% of the outdoor temperature, and the number of people indoors is ≥1, adjust the temperature of the air conditioner to match the outdoor temperature;

[0116] S4042 When the concentration of carbon dioxide is not between 80-100% of the outdoor carbon dioxide concentration, and the number of people indoors is ≥1, adjust the fresh air frequency of the air conditioner.

[0117] S4043 When the humidity value is higher than the outdoor humidity and the number of people indoors is ≥1, the dehumidification mode of the air conditioner is turned on;

[0118] S4044 When the light brightness value is higher or lower than the brightness comfortable for the human eye, and the number of people in the room is ≥1, adjust the brightness of the lighting equipment.

[0119] In this step, energy-consuming equipment includes central air conditioning and lighting equipment; the central air conditioning system includes functions such as cooling, heating, fresh air supply, and dehumidification. Since this adjustment method involves regulating energy-consuming equipment within a public building, and some people enter the building from the outside, it is only necessary to maintain the indoor temperature, humidity, and carbon dioxide concentration at approximately the same level as the outdoor temperature. Appropriate thresholds can be set in summer or winter depending on the region to achieve low-carbon energy conservation. Adding a people count check during the inspection process is to confirm whether there is activity in the public area. If the inspection is conducted during the period when the public building is about to close, the energy-consuming equipment can be directly shut off. Infrared or Bluetooth switches can be added to the lighting equipment for corresponding adjustments.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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 1 The steps of the function specified in one or more boxes.

[0124] It should be noted that any reference signs placed between parentheses in the claims should not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention can be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

[0125] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0126] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

[0127] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0128] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms should not be construed as necessarily referring to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

Claims

1. A control method for a building low-carbon operation management robot, characterized in that, The method is based on a building low-carbon operation management robot, which includes: a first control module, a positioning module, a motion module, and a first communication module disposed at the lower part of the robot, and a second control module, a detection module, and a second communication module disposed at the upper part of the robot, for use in public buildings; The positioning module includes: A radar module is located at the lower forward end of the robot and is used to determine the distance between the robot and environmental obstacles. A camera module is located at the lower forward end of the robot and is used to identify environmental obstacles and energy-consuming devices. The method includes: The first control module receives the inspection command, activates the motion module and the positioning module, and begins the inspection. The positioning module scans the inspected environment to create a detection map, and calculates the detection location using the detection map, including: The radar module scans the surrounding environment and obtains the location information of walls and obstacles based on radar reflection information to create a basic detection map. The camera module acquires image information of the surrounding environment, extracts the location features of obstacles and energy-consuming devices based on the environmental image information, and overlays them onto the basic detection map to generate the detection map. The detection area is divided according to the detection map, and the center of the detection area is selected as the detection location. When the motion module moves to the detection position and stops, the second control module is activated to start the detection. The indoor environment is monitored by the aforementioned detection module, and energy-consuming equipment is adjusted based on the detection results and a monitoring map, including: Based on the detection map, obtain the location coordinates of the energy-consuming device, and calculate the straight-line distance between the energy-consuming device and each detection location; Select the detection values ​​of the n detection locations that are closest to the energy-consuming equipment in a straight line. The detection values ​​include: temperature value, carbon dioxide concentration value, humidity value, number of people in the room, and light intensity. Calculate the average value of the detection values ​​of the n detection positions that are closest to the energy-consuming device in a straight line, and use this average value as an adjustment parameter; Adjusting the operating mode of the corresponding energy-consuming equipment according to the adjustment parameters includes: When the temperature value is not between 70% and 80% of the outdoor temperature, and the number of people indoors is ≥1, adjust the air conditioner temperature to match the outdoor temperature. When the concentration of carbon dioxide is not between 80-100% of the outdoor carbon dioxide concentration, and the number of people indoors is ≥1, adjust the fresh air frequency of the air conditioner. When the humidity value is higher than the outdoor humidity and the number of people indoors is greater than or equal to 1, the dehumidification mode of the air conditioner is turned on. When the light intensity value is higher or lower than the comfortable brightness for the human eye, and the number of people in the room is ≥1, adjust the brightness of the lighting equipment.

2. The control method of claim 1, wherein, The first control module is electrically connected to the positioning module, the motion module, and the first communication module respectively; The positioning module is used to locate the position and path of the robot and establish a detection map; The motion module is used to drive the robot to move according to the position and path located by the positioning module; The first communication module is used to communicate with the corresponding server; The second control module is electrically connected to the detection module and the second communication module respectively; The detection module is used to detect the environmental parameters of the space where the robot is currently operating, and to determine and adjust the parameters based on the environmental parameters. The second communication module is used to control the operating mode of the energy-consuming equipment according to the adjustment parameters.

3. The control method of claim 2, wherein, The step of receiving the inspection command through the first control module, activating the motion module and the positioning module, and starting the inspection includes: The server issues inspection instructions, which include: inspection time, inspection route, and inspection content. The first control module starts the motion module and the positioning module according to the inspection time; The robot moves along the inspection route via the motion module, and the positioning module locates the robot's position coordinates in real time. When the positioning module locates the stop position, it sends a stop command to the motion module through the first control module.

4. The control method of claim 2, wherein, The detection module includes at least one of the following modules: An air detection module is used to detect the concentration of carbon dioxide in the space where the robot is located; A temperature detection module is used to detect the air temperature in the space where the robot is located; A humidity detection module is used to detect the air humidity in the space where the robot is located; A light detection module is used to detect the lighting brightness of the space where the robot is located; The infrared detection module is used in conjunction with the camera module to detect the number of people in the space where the robot is located, and works with the air detection module, temperature detection module, humidity detection module, and light detection module to determine the adjustment parameters.

5. The control method of claim 4, wherein, The step of stopping when the motion module reaches the detection position and activating the second control module to start detection includes: The second control module is activated by the first control module; The air detection module detects and records the concentration of carbon dioxide at the detection location where the robot is located; The temperature at the detection location of the robot is detected and recorded by the temperature detection module. The humidity detection module detects and records the humidity at the detection location where the robot is located; The infrared detection module and camera module detect and record the number of people at the detection location where the robot is located; The light detection module detects and records the light intensity at the detection location where the robot is located. 6.The control method of the building low-carbon operation management robot according to claim 1, wherein, The first control module is electrically connected to a cleaning module, which is located at the forward end of the lower part of the robot and is used for sweeping and washing the ground where the robot is located.