Localizable basement area environment monitoring method based on Internet of Things

Abstract

According to the locatable basement area environment monitoring method based on the Internet of Things, Bluetooth mobile beacons are built in a plurality of monitoring modules, communication between receiving base stations in a basement is combined, and the angle between the Bluetooth mobile beacons and a receiving antenna of a data all-in-one machine can be accurately obtained through an AOA positioning algorithm; the position information of the Bluetooth mobile beacon is trimmed through an Atmann-Z model algorithm, the position information of the monitoring module can be accurately obtained, matching of environment monitoring of the monitoring module and the position information can be accurately obtained by combining the position of the monitoring module and data information collected by the monitoring module, and precise environment monitoring in a basement area is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of basement environment monitoring, and more particularly to an environmental monitoring method for a basement area based on the Internet of Things (IoT). Background Art

[0002] Due to their unique location and structural characteristics, basements often face problems such as high humidity, poor ventilation, and large temperature fluctuations, all of which pose threats to the safety and durability of stored items. Since basements are relatively enclosed, an emergency situation can have serious consequences if not detected and addressed promptly. Therefore, achieving real-time monitoring and early warning of basement areas, ensuring a rapid response to abnormal situations, is a key issue that basement environmental monitoring systems must address.

[0003] In view of this, there is a need for an environmental monitoring system for basement areas that can be located based on the Internet of Things, which is of great significance to improving the accuracy of environmental monitoring in the basement. Summary of the Invention

[0004] The present invention provides an Internet of Things-based, positionable basement area environmental monitoring method to solve the technical problem of inaccurate positioning accuracy of existing basement area environmental monitoring systems.

[0005] According to one aspect of the present invention, a method for monitoring the environment of a basement area based on an Internet of Things (IoT) and capable of positioning is provided, comprising: Step 1: Number the monitoring modules and bind them to the device storage module of the data all-in-one machine. Install a Bluetooth mobile beacon on each monitoring module and place it in the basement area. Collect the location information of each monitoring module and store it in the first data unit of the data all-in-one machine. Step 2: Each monitoring module is equipped with multiple evenly distributed Bluetooth mobile beacons. The location information of the monitoring module is obtained through the Bluetooth mobile beacons and stored in the second data unit of the data all-in-one machine. A receiving base station is set in the basement area. Step 3: Calculate the angle of the Bluetooth mobile beacon's transmitted signal to the receiving antenna of the data all-in-one machine through the AOA positioning algorithm, and then calculate the relative angle of the target Bluetooth mobile beacon's signal reaching the first Bluetooth base station based on the angle of the Bluetooth mobile beacon's transmitted signal to the receiving base station. , the relative angle at which the signal of the target Bluetooth mobile beacon arrives at the second Bluetooth receiving base station 2 The value of Step 4: Use the Altman-Z model algorithm based on normal distribution to filter and trim the data of the second data unit to obtain the position information of each monitoring module.

[0006] Based on the above solution, the calculation formula of step 3 is as follows: ; ; in, represents the horizontal coordinate of the first Bluetooth base station, represents the vertical coordinate of the first Bluetooth base station, represents the horizontal coordinate of the second Bluetooth base station, represents the vertical coordinate of the second Bluetooth base station, The horizontal coordinate representing the location of the target Bluetooth mobile beacon, Indicates the vertical coordinate of the target Bluetooth mobile beacon location, Indicates the incident angle of the nth Bluetooth mobile beacon signal source; The relationship between the Bluetooth mobile beacon and the data all-in-one machine satisfies: .

[0007] Preferably, based on the above solution, a plurality of Bluetooth mobile beacon signal sources are provided in the monitoring module.

[0008] Preferably, based on the above solution, step 4 specifically includes: Step S41, filtering the position information of the second data unit, and calculating the sample variance of the filtered position information of the second data unit; Step S42: Based on the sample variance of step S41, a standardized data set is calculated using the Altman-Z model algorithm. , substituted into each sample data intensity value in the second data unit , and get the standardized sample data set: ; Step S43, calculate according to the above step S42 Data screening was performed to remove outliers.

[0009] Preferably, based on the above solution, the calculation formula of step 41 is: , represents the standard deviation, represents the average value of the second data unit data set; Represents the second data unit data set, and n represents the number of data points. i represents the i-th data point.

[0010] Preferably, based on the above solution, the calculation formula in step 42 is: ; represents the standardized dataset, represents the average value of the second data unit data set, Represents the second data unit data set after preliminary filtering, Represents the i-th data point in the second data unit data set.

[0011] Preferably, based on the above solution, the monitoring module has an air monitoring module, an air pressure monitoring module, a humidity monitoring module, a temperature monitoring module and an air purification module built in.

[0012] Preferably, based on the above solution, a circular track is provided in the basement area, and the monitoring module is installed on the circular track via a slide.

[0013] Preferably, based on the above solution, the monitoring module further includes a camera.

[0014] The present invention discloses an environmental monitoring method for a basement area based on the Internet of Things and capable of positioning. The method utilizes multiple monitoring modules with built-in Bluetooth mobile beacons and Bluetooth mobile beacons, and combines the communication between receiving base stations in the basement. The AOA positioning algorithm can accurately obtain the angle between the Bluetooth mobile beacon and the receiving antenna of the data all-in-one machine. The position information of the Bluetooth mobile beacon is then adjusted through the Altman-Z model algorithm to accurately obtain the position information of the monitoring module. Combined with the position of the monitoring module and the data information collected by it, the environmental monitoring of the monitoring module and the matching of the position information can be accurately obtained, thereby realizing precise environmental monitoring in the basement area.

[0015] Compared with the existing technology, the environmental monitoring method of the basement area based on the Internet of Things and capable of positioning has the following beneficial effects: 1. Through real-time monitoring of key environmental parameters such as temperature, humidity, and air quality in the basement area, it is possible to promptly identify environmental risks and make timely adjustments, providing the most suitable environmental conditions for storing items or conducting specific activities, and effectively ensuring the safety and durability of stored items.

[0016] 2. In the present invention, by deploying locatable monitoring equipment in the basement area and combining it with a data analysis module, not only can all-round, no-dead-angle environmental monitoring be achieved, but potential safety hazards can also be predicted through data analysis, and preventive measures can be taken in advance to minimize safety hazards and improve the overall safety of the basement area. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. 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 inventive efforts. In the drawings: Figure 1 This is a system principle block diagram of the present invention; Figure 2 It is a principle block diagram of the device and various control modules of the present invention; Figure 3 Schematic diagram of the circular track structure; Figure 4 Schematic diagram of the connection structure between the box cover and the device; Figure 5 It is a schematic diagram of the connection structure between the box cover and the device of the present invention. DETAILED DESCRIPTION

[0018] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0019] It will be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections.

[0020] To simplify the drawings, only the parts relevant to the present invention are schematically shown in each figure. They do not represent the actual structure of the product. Furthermore, to simplify the drawings and facilitate understanding, in some figures, only one of the components with the same structure or function is schematically depicted or labeled. As used herein, "one" not only means "only one" but also "more than one."

[0021] It should be further understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0022] In the embodiments shown in the accompanying drawings, directional indications (such as up, down, left, right, front, and rear) used to explain the structure and movement of various components of the present invention are not absolute but relative. These descriptions are applicable when the components are in the positions shown in the accompanying drawings. If the descriptions of the positions of these components are changed, the directional indications will also change accordingly.

[0023] In addition, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the specific embodiments of the present invention will be described below with reference to the accompanying drawings. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings and other embodiments can be obtained based on these drawings without inventive work.

[0025] See also Figure 1 , and combined with Figure 2 and Figure 3 As shown, the present invention provides an environmental monitoring method for a basement area based on the Internet of Things and capable of positioning, comprising: Step 1: Number the monitoring modules and bind them to the device storage module of the data all-in-one machine. Install a Bluetooth mobile beacon on each monitoring module. When the device moves on track 1, it will generate data and report it to the system platform for positioning. The location information of each monitoring module is collected and stored in the first data unit of the data all-in-one machine. Among them, Bluetooth mobile beacons use the low-power Bluetooth BLE broadcast protocol and can last for 2-3 years when powered by batteries; Specifically, a circular track 1 is installed in the basement area, and the monitoring module is installed on the circular track 1 through the slide on the circular track 1 to realize dynamic monitoring of multiple angles in the basement. In order to facilitate monitoring of the basement environment, a camera is set on the monitoring module.

[0026] Step 2: Each monitoring module is equipped with a Bluetooth mobile beacon and is bound to its location. The location information of the monitoring module is obtained through the Bluetooth mobile beacon and stored in the second data unit of the data all-in-one machine. A receiving base station is set in the basement area. Using the building unit and its accompanying floor plan, secure monitoring modules equipped with Bluetooth mobile beacons to the corresponding locations on the building unit floor plan. Specific placement is determined based on the actual on-site structure, with a monitoring module placed every 10-15 meters to ensure full coverage on every floor. For example, if one floor of a building has offices, conference areas, and functional areas, the modules can be deployed in representative rooms based on these functions.

[0027] After the Bluetooth mobile beacon is installed, the QR code on the beacon is scanned with a mobile terminal device to enter the floor plan location information corresponding to the Bluetooth mobile beacon, and then the location of the point is manually marked and stored in the second data unit.

[0028] The Bluetooth mobile beacon receives Bluetooth mobile beacon data through the LoRaWAN standard IoT base station and forwards it to the IoT access server to obtain positioning data and store it in the second data unit of the data all-in-one machine.

[0029] Step 3: Calculate the angle of the Bluetooth mobile beacon's transmitted signal to the receiving antenna of the data all-in-one machine through the AOA positioning algorithm, and then calculate the relative angle of the target Bluetooth mobile beacon's signal reaching the first Bluetooth base station based on the angle of the Bluetooth mobile beacon's transmitted signal to the receiving base station. , the relative angle at which the signal of the target Bluetooth mobile beacon K arrives at the second Bluetooth receiving base station 2 The value of Assume that the target Bluetooth mobile beacon point K is the location of the current monitoring module, and the location of the target Bluetooth mobile beacon point K is unknown. The coordinates of the first Bluetooth base station ( , ) and the second Bluetooth base station ( , ), please refer to the specific diagram Figure 3 shown.

[0030] According to the trigonometric function relationship, the coordinates of the target Bluetooth mobile beacon K ( , ) Calculation formula: ; .

[0031] represents the horizontal coordinate of the first Bluetooth base station, represents the vertical coordinate of the first Bluetooth base station, represents the horizontal coordinate of the second Bluetooth base station, represents the vertical coordinate of the second Bluetooth base station, The horizontal coordinate representing the coordinate of the target Bluetooth mobile beacon position K, The ordinate representing the coordinate of the target Bluetooth mobile beacon location K; Indicates the incident angle of the nth Bluetooth mobile beacon signal source; According to its geometric meaning, the relationship between Bluetooth mobile beacons and the Internet of Things satisfies: .

[0032] To calculate the receiver's position, at least two different signal sources are required. By measuring the angular difference between the receiver and two or more signal sources, the receiver's position can be determined. This is similar to triangulation, where each signal source represents a vertex in a triangle and the receiver represents the fourth vertex.

[0033] In practical applications, AOA positioning algorithms usually require accurate antenna arrays and high-precision angle measurement equipment.

[0034] Step 4: In order to further improve data accuracy, the Altman-Z model algorithm based on normal distribution is used to screen and trim the data of the second data unit to obtain the location information of each monitoring module.

[0035] Specifically, step 4 includes: Step S41, filtering the position information of the second data unit, and calculating the sample variance of the filtered position information of the second data unit; The calculation formula is: , represents the standard deviation, represents the average value of the second data unit data set; Represents the second data unit data set, n represents the number of data points, and ri represents the i-th data point.

[0036] Each sample data stored in the second data unit is introduced into the above formula to calculate the standard deviation of each sample data in the data set; Step S42: Based on the sample variance of step S41, a standardized data set is calculated using the Altman-Z model algorithm. , substituted into each sample data intensity value in the second data unit , and get the standardized sample data set: ; Step S43, calculate according to the above step S42 The data is filtered to remove abnormal values. The specific operation is: Greater than 0 means that the data is greater than the mean, less than 0 means that it is greater than the mean, equal to 0 means that it is equal to the mean, equal to 1 means that the data is one standard deviation greater than the mean, and equal to -1 means that the data is one standard deviation less than the mean. In this embodiment, the allowable range is set to [-3, 3]. Values ​​exceeding this range are determined to be outliers and are discarded.

[0037] The corresponding sample standard data set obtained by the above-mentioned Altman-Z model algorithm is stored in the adjusted second data unit.

[0038] It is worth noting that the monitoring module of the present invention has an air monitoring module, an air pressure monitoring module, a humidity monitoring module, a temperature monitoring module and an air purification module built in.

[0039] Among them, the air quality index is calculated based on the concentration value of pollutants. This system calculates the indoor PM2.5 real-time concentration Index, according to the formula: ; Calculated, Indicates the air quality index AQI, C is the current PM2.5 concentration, unit , is the concentration threshold greater than or equal to C, To correspond AQI index threshold, To correspond AQI index threshold.

[0040] Before calculating the AQI index, we must first determine the concentration threshold and the corresponding air quality level based on the current PM2.5 concentration.

[0041] The data center's main control microcontroller controls the indicator light color based on the calculated AQI index. When the AQI is less than 100, the air quality is excellent, and only the blue LED turns on, emitting a blue light. When the AQI is between 100 and 200, the red and green LEDs turn on, emitting a yellow light. When the AQI is greater than 200, only the red LED turns on, emitting a red light.

[0042] The working principle of the specific embodiment of the present invention is as follows: a locator installed in a monitoring device acquires positioning signals. Bluetooth mobile beacon signals are collected indoors in the basement. Bluetooth mobile beacons are installed on the flat floors of the building, providing full coverage. The received positioning information is sent to an IoT base station, then transmitted to an IoT access service for processing using network standard protocols. The IoT platform then analyzes the information and forwards it to the cloud platform.

[0043] Positioning logic is performed on the cloud platform to determine the location of the monitoring device and display it on the screen. Data from Bluetooth mobile beacons is collected and stored using the AOA positioning algorithm. The collected data is then initially filtered and normalized using the Altman-Z model algorithm to obtain more accurate data and precise indoor location information, which is ultimately displayed on the operation management cloud platform.

[0044] In terms of communication and data transmission, the master microcontroller communicates with the slave microcontrollers via the 485 bus according to a custom protocol to obtain sensor parameters. The monitoring station queries the data of the monitoring nodes through wireless communication, processes the data returned by the monitoring nodes, and then transmits it to the server via wireless communication. The data is stored in the server database.

[0045] The supervisor microcontroller is responsible for querying and transmitting data. It regularly queries data from each monitoring node via the wireless communication module, processes the returned data, and sends it to the server. The master monitoring station, acting as a relay between the monitoring nodes and the server, is responsible for collecting and uploading data. Using wireless communication, the master monitoring station polls the various monitoring nodes, sends data query commands, obtains the data returned by the nodes, processes it, and transmits it to the server.

[0046] It is worth noting that, in the present invention, a circular track 1 is provided in the basement area, the monitoring modules are mounted on the circular track 1 via slides, and each monitoring module further includes a plurality of cameras.

[0047] The data all-in-one machine of the present invention is connected to a local monitoring device, a remote control device and an APP monitoring device. The specific connection method can be set as a wireless connection or a wired connection as needed.

[0048] Furthermore, the data all-in-one machine of the present invention is externally connected to an alarm module, which can be flexibly configured on a local monitoring device, a remote monitoring device, or an app-based monitoring device. The alarm module possesses powerful environmental monitoring and hazard identification capabilities, capable of determining in real time whether the basement air quality is good and whether there are potential safety hazards within the basement. Upon detecting an abnormality, the alarm module immediately outputs an alarm message through an alarm, allowing relevant personnel to take timely countermeasures.

[0049] The monitoring module of the present invention is installed on the track 1 through the control box 4 so that the temperature control module, humidity control module and air purification module inside it can work effectively and exchange data with devices such as the camera 3.

[0050] Specifically, the camera is responsible for monitoring the basement environment, while the control box 4 contains modules for controlling these monitoring devices and regulating the basement environment. The two realize data exchange and collaborative work through the Internet of Things technology, jointly maintaining the stability and safety of the basement environment.

[0051] See also Figure 4 As shown, the present invention employs a circular track 1 above the basement. This track 1 is rationally designed to fully cover every corner of the basement. Movable cameras 3 are mounted on this track 1, working in conjunction with fixed cameras 3 within the exhibition hall to perform surveillance tasks. The system schedules regular inspections, and the frequency varies. As the monitored area expands, the frequency increases accordingly to ensure comprehensive coverage.

[0052] Specifically, camera 3 is mounted on mounting plate 2, securely fastened to it. A pulley, compatible with track 1, is mounted at the bottom of mounting plate 2. Driven by a drive mechanism, the pulley smoothly slides camera 3 along track 1. This design effectively overcomes the limitations of fixed cameras in monitoring blind spots in the exhibition hall, ensuring comprehensive and comprehensive coverage of all events within the basement's public areas.

[0053] A box cover 6 is slidably connected to the top of the control box 4, and the box cover 6 can completely cover the control box 4. Specifically, a slide rail 5 is installed on the outside of the control box 4, and a corresponding slide groove is provided on the inside of the box cover 6, so that the box cover 6 can slide freely along the slide rail 5. In addition, the box cover 6 is also equipped with a remotely controlled free-retractable card strip (this technology is existing technology and will not be discussed in depth here). Through this card strip, the box cover 6 can be firmly clamped on the top of the control box 4. In other embodiments, an additional elastic locking block 7 can be provided on the outside of the control box 4, and a card slot matching the elastic locking block 7 can be provided inside the control box 4. When the box cover 6 is closed, the elastic locking block 7 can automatically snap into the card slot to firmly lock the box cover 6, thereby enhancing the stability of the entire structure. It is worth mentioning that the elastic locking block 7 also supports remote control of its inward retraction (this technology is also existing technology). When the box cover 6 needs to be opened to inspect the equipment, it only needs to remotely control the elastic locking block 7 to retract it and disengage it from the card slot. The operation is simple and quick. For the specific structure, please refer to Figure 5 shown.

[0054] As a preferred embodiment, a data analysis module is further provided in the basement data integrated machine, and the data analysis module is used to analyze the real-time images obtained by the camera.

[0055] It should be noted that the monitoring module has built-in air monitoring module, air pressure monitoring module, humidity monitoring module, temperature monitoring module and air purification module; the temperature monitoring module, humidity monitoring module, air monitoring module and equipment positioning module are used to monitor the temperature, humidity, pollutants and equipment location in the basement 1; the temperature control module, humidity control module, equipment positioning module and air purification module are used to monitor the temperature, humidity, pollutants and equipment location in the basement.

[0056] The present invention discloses an environmental monitoring method for a basement area based on the Internet of Things and capable of positioning. The method utilizes multiple monitoring modules with built-in Bluetooth mobile beacons and Bluetooth mobile beacons, and combines the communication between receiving base stations in the basement. The AOA positioning algorithm can accurately obtain the angle between the Bluetooth mobile beacon and the receiving antenna of the data all-in-one machine. The position information of the Bluetooth mobile beacon is then adjusted through the Altman-Z model algorithm to accurately obtain the position information of the monitoring module. Combined with the position of the monitoring module and the data information collected by it, the environmental monitoring of the monitoring module and the matching of the position information can be accurately obtained, thereby realizing precise environmental monitoring in the basement area.

[0057] Compared with the existing technology, the environmental monitoring method of the basement area based on the Internet of Things and capable of positioning has the following beneficial effects: 1. Through real-time monitoring of key environmental parameters such as temperature, humidity, and air quality in the basement area, it is possible to promptly identify environmental risks and make timely adjustments, providing the most suitable environmental conditions for storing items or conducting specific activities, and effectively ensuring the safety and durability of stored items.

[0058] 2. In the present invention, by deploying locatable monitoring equipment in the basement area and combining it with a data analysis module, not only can all-round, no-dead-angle environmental monitoring be achieved, but potential safety hazards can also be predicted through data analysis, and preventive measures can be taken in advance to minimize safety hazards and improve the overall safety of the basement area.

[0059] Finally, the method of this application is only a preferred embodiment and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for monitoring the environment of a basement area based on the Internet of Things, characterized in that: include: Step 1: Number the monitoring modules and bind them to the device storage module of the data all-in-one machine. Install a Bluetooth mobile beacon on each monitoring module and place it in the basement area. Collect the location information of each monitoring module and store it in the first data unit of the data all-in-one machine. Step 2: Each monitoring module obtains the location information of the monitoring module through the Bluetooth mobile beacon, stores it in the second data unit of the data all-in-one machine, and sets a receiving base station in the basement area; Step 3: Calculate the angle of the Bluetooth mobile beacon's transmitted signal to the receiving antenna of the data all-in-one machine through the AOA positioning algorithm, and then calculate the relative angle of the target Bluetooth mobile beacon's signal reaching the first Bluetooth base station based on the angle of the Bluetooth mobile beacon's transmitted signal to the receiving base station. , the relative angle at which the signal of the target Bluetooth mobile beacon arrives at the second Bluetooth receiving base station 2 The value of Step 4: Use the Altman-Z model algorithm based on normal distribution to filter and trim the data of the second data unit to obtain the position information of each monitoring module.

2. The method for monitoring the environment of a basement area based on the Internet of Things according to claim 1, wherein: The calculation formula of step 3 is as follows: ； ； in, represents the horizontal coordinate of the first Bluetooth base station, represents the vertical coordinate of the first Bluetooth base station, represents the horizontal coordinate of the second Bluetooth base station, represents the vertical coordinate of the second Bluetooth base station, The horizontal coordinate representing the location of the target Bluetooth mobile beacon, Indicates the vertical coordinate of the target Bluetooth mobile beacon location, Indicates the incident angle of the nth Bluetooth mobile beacon signal source; The relationship between the Bluetooth mobile beacon and the data all-in-one machine satisfies: .

3. The method for monitoring the environment of a basement area based on the Internet of Things according to claim 1, characterized in that: The monitoring module is provided with a plurality of Bluetooth mobile beacon signal sources.

4. The method for monitoring the environment of a basement area based on the Internet of Things as claimed in claim 2, wherein: The step 4 specifically includes: Step S41, filtering the position information of the second data unit, and calculating the sample variance of the filtered position information of the second data unit; Step S42: Based on the sample variance of step S41, a standardized data set is calculated using the Altman-Z model algorithm. , substituted into each sample data intensity value in the second data unit , and get the standardized sample data set: ; Step S43, calculate according to the above step S42 Data screening was performed to remove outliers.

5. The method for monitoring the environment of a basement area based on the Internet of Things as claimed in claim 4, characterized in that: The calculation formula of step 41 is: , represents the standard deviation, represents the average value of the second data unit data set; Represents the second data unit data set, and n represents the number of data points. i represents the i-th data point.

6. The method for monitoring the environment of a basement area based on the Internet of Things as claimed in claim 5, characterized in that: The calculation formula of step 42 is: ； represents the standardized dataset, represents the average value of the second data unit data set, Represents the second data unit data set after preliminary filtering, Represents the i-th data point in the second data unit data set.

7. The method for monitoring the environment of a basement area based on the Internet of Things as claimed in claim 1, characterized in that: The monitoring module has an air monitoring module, an air pressure monitoring module, a humidity monitoring module, a temperature monitoring module and an air purification module built in.

8. The method for monitoring the environment of a basement area based on the Internet of Things as claimed in claim 1, characterized in that: A circular track is provided in the basement area, and the monitoring module is installed on the circular track via a slide.

9. The method for monitoring the environment of a basement area based on the Internet of Things and capable of positioning according to claim 8, wherein: The monitoring module also includes a camera.

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