Multi-parameter remote monitoring type air environment monitoring device

Abstract

The invention relates to the technical field of air environment monitoring, and discloses a multi-parameter remote monitoring type air environment monitoring device, in particular to a multi-parameter remote monitoring type air environment monitoring device which comprises an air environment monitoring system, an air environment monitoring system, a data processing system, a data processing system and a data processing system through a high-precision sensor, an intelligent data processing algorithm and a flexible hardware design. The data acquisition module is used for performing real-time acquisition, data processing, transmission, storage and display on various parameters in an air environment; and the bracket is arranged at the bottom of the air environment monitoring system and is used for supporting the air environment monitoring system to monitor the air environment. According to the invention, high-precision monitoring of various air parameters is realized, intelligent data processing, trend prediction and real-time early warning functions are combined, the precision and intelligent level of the monitoring system are improved, real-time acquisition, analysis, transmission and application of various parameters in the air environment are realized, and the system is suitable for high-precision air quality monitoring and prediction in a complex and changeable environment.

Description

Technical Field

[0001] The present invention relates to the field of air environment monitoring technology, and specifically to a multi-parameter remote monitoring air environment monitoring device. Through high-precision sensors, intelligent data processing algorithms and flexible hardware design, it realizes real-time collection, analysis, transmission and application of multiple parameters in the air environment, and is suitable for high-precision air quality monitoring and prediction in complex and changeable environments. Background Art

[0002] As an important tool for environmental protection and health management, air environment monitoring devices are widely used in urban air quality monitoring, industrial emission supervision, and public health protection. Such devices can provide data support for environmental governance, pollution prevention and control, and decision-making through real-time monitoring of parameters such as particulate matter, gas concentration, temperature and humidity in the air, and have become a key component of the modern environmental management system.

[0003] Existing air environment monitoring devices usually adopt a single parameter or a small number of multiple parameters monitoring method, combined with a simple data processing algorithm, to achieve air quality monitoring of a specific environmental area. Some systems are equipped with a data upload function, which can transmit the monitoring data to the monitoring center in real time for analysis and storage. These devices have the advantages of simple structure, low cost, and suitable for fixed environment monitoring, and have shown good results in monitoring air quality changes in local areas.

[0004] Air environment monitoring devices are important tools for environmental protection and health management. They have been widely used in urban air quality monitoring, industrial emission regulation, and public health protection. Air monitoring devices in the prior art usually have the following problems:

[0005] The monitoring parameters are single or limited in number, making it difficult to fully reflect the air quality status;

[0006] The monitoring accuracy is insufficient and the data is easily interfered by the outside world;

[0007] Lack of intelligent data processing capabilities, such as real-time warning and trend prediction functions;

[0008] Poor stability in complex terrain and unable to adapt to multiple scenarios;

[0009] For example, a certain type of air monitoring device only supports PM2.5 and temperature and humidity monitoring, and the data transmission is not encrypted. In experiments, it was found that the transmission error exceeded 10%. The present invention proposes an improvement plan for the above problem. Summary of the invention

[0010] The present invention aims to solve the problems of single function, insufficient monitoring accuracy and low intelligence level of existing air environment monitoring devices. A multi-parameter remote monitoring air environment monitoring device is proposed, which has the following characteristics:

[0011] Integrated multi-channel sensor module to achieve high-precision real-time monitoring of particulate matter concentration (PM2.5, PM10), temperature and humidity, and harmful gas concentration;

[0012] Use discrete cosine transform (DCT) to optimize data compression processing and improve data storage and transmission efficiency;

[0013] Use the cloud platform's long short-term memory network (LSTM) model to predict air quality trends and provide accurate early warning support;

[0014] Combined with height adjustment and stable support design, it can adapt to complex terrain requirements and improve the stability and reliability of the equipment.

[0015] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-parameter remote monitoring air environment monitoring device, comprising:

[0016] Air environment monitoring system, used for real-time collection, data processing, transmission, storage and display of various parameters in the air environment;

[0017] A bracket, which is arranged at the bottom of the air environment monitoring system and is used to support the air environment monitoring system to perform air environment monitoring work;

[0018] A connecting mechanism is arranged in the middle of the air environment monitoring system, and the air environment monitoring system can be installed or disassembled by pressing and rotating, which is convenient for carrying and replacing the air environment monitoring system;

[0019] An electric box, which is arranged outside the air environment monitoring system and is used to provide electric energy to the air environment monitoring system so that the air environment monitoring system can be used in outdoor scenes;

[0020] The supporting mechanism is arranged at the bottom of the air environment monitoring system and is used to stably support the air environment monitoring system. At the same time, the height of the environment monitoring system can be adjusted to monitor the air at different heights.

[0021] Preferably, the air environment monitoring system comprises:

[0022] Multi-channel sensor module for real-time collection of air environment parameters;

[0023] A data processing module, which is in communication with the multi-channel sensor module and is used for fusing and correcting the collected air environment parameters;

[0024] A data transmission module, which is in communication with the data processing module and is used to transmit the processed data to the cloud platform;

[0025] A cloud platform for receiving the data and storing, analyzing and displaying the data;

[0026] The user terminal is connected to the cloud platform for real-time monitoring of data, historical data backtracking and abnormal warning.

[0027] Preferably, the connecting mechanism includes a connecting ring 1, which is fixedly connected to the bottom of the air environment monitoring system, a clamping block is fixedly connected to the outer side of the connecting ring 1, a connecting ring 2 is fixedly connected to one end of the bracket close to the air environment monitoring system, a compression spring is fixedly connected to the inside of the connecting ring 2, and an extrusion ring is fixedly connected to the other end of the compression spring, an L-shaped groove is provided on the side of the connecting ring 2 away from the bracket, the clamping block is slidably connected to the middle part of the L-shaped groove, a clamping groove is provided on the inner side wall of the connecting ring 2, and the clamping block and the clamping groove are plug-fitted.

[0028] Preferably, the supporting mechanism includes a ring, which is slidably connected to the outer periphery of the bracket, a locking screw is threadedly connected to the middle part of the ring, the locking screw is in contact with the bracket, the outer side of the ring is connected to multiple groups of support rods 1 through damping rotation, the other end of the support rod 1 is connected to a support plate through damping rotation, the outer side of the support rod 1 is connected to support rod 2 through damping rotation, the other end of the support rod 2 is connected to a connecting disk through damping rotation, and the connecting disk is fixedly connected to the bottom end of the bracket.

[0029] Preferably, the multi-channel sensor module comprises:

[0030] Particle sensor, using laser scattering technology to collect PM2.5 and PM10 concentrations in real time;

[0031] Temperature and humidity sensors, designed based on thermistors and humidity-sensitive capacitors, monitor ambient temperature and relative humidity respectively;

[0032] Gas concentration sensor, used to monitor the concentration of target gas.

[0033] Preferably, the data processing module compresses the monitoring data, specifically including:

[0034] Use discrete cosine transform to extract the main information of the data, and perform real-time correction on the environmental interference errors in the monitoring data to ensure the accuracy of the data;

[0035] Discard the high-frequency part of the data and keep only the low-frequency part to reduce the amount of data.

[0036] Preferably, the data transmission module ensures the security of data transmission through the following steps:

[0037] Encrypt data using the AES algorithm;

[0038] During the transmission process, the SSL / TLS protocol is used to protect the transmission channel.

[0039] Preferably, the cloud platform uses a long short-term memory network model to predict air quality trends, and the model uses historical monitoring data and meteorological characteristic data as input to generate predicted values ​​of air quality.

[0040] Preferably, the cloud platform supports generating user-defined reports, specifically including:

[0041] Provides the function of selecting parameter dimensions and time range;

[0042] Generate corresponding report data according to the parameters and time range selected by the user;

[0043] Supports exporting reports to PDF or Excel formats.

[0044] Preferably, the user terminal provides a real-time warning function, specifically including:

[0045] Use anomaly monitoring algorithms to determine whether data exceeds the warning threshold;

[0046] When an early warning is triggered, the alarm information will be sent to the user in the form of SMS, email or notification.

[0047] The present invention provides a multi-parameter remote monitoring type air environment monitoring device. It has the following beneficial effects:

[0048] 1. The present invention realizes real-time monitoring of particulate matter, temperature and humidity, and concentrations of various gases through the integrated design of multi-channel sensor modules. Combined with the efficient compression and fusion algorithm of the data processing module, the accuracy and integrity of the monitoring data are improved, providing reliable guarantee for the dynamic monitoring of wide-area air quality.

[0049] 2. The present invention uses a cloud platform and a long short-term memory network model to predict air quality trends, and supports user-defined reporting functions. Combined with a real-time early warning mechanism and diversified push methods, it provides users with accurate prediction results, flexible analysis tools and comprehensive decision-making support capabilities.

[0050] 3. The present invention ensures the stability of the equipment in complex outdoor terrain through the design of the bracket and the supporting mechanism, adapts to the needs of multiple scenarios through height adjustment, and combines the encryption and security functions of the efficient data transmission module to enable the device to have the ability to operate long-term, stably and safely.

[0051] 4. The present invention not only solves the problem of single monitoring parameters and insufficient accuracy, but also improves the reliability and prediction accuracy of monitoring data through innovative data processing algorithms such as discrete cosine transform, long short-term memory network model and secure transmission technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A perspective view of the present invention;

[0053] Figure 2 It is a structural schematic diagram of the support mechanism of the present invention;

[0054] Figure 3 It is a schematic diagram of the card block of the present invention;

[0055] Figure 4 is a schematic diagram of a card slot of the present invention;

[0056] Figure 5 is a system structure diagram of the air environment monitoring system of the present invention;

[0057] Figure 6 is a system structure diagram of a multi-channel sensor module of the present invention;

[0058] Figure 7 is a system structure diagram of the data processing module of the present invention;

[0059] Figure 8 It is a system structure diagram of the data transmission module of the present invention.

[0060] Among them, 1. bracket; 20. air environment monitoring system; 30. connecting mechanism; 301. connecting ring 1; 302. clamping block; 303. connecting ring 2; 304. compression spring; 305. extrusion ring; 306. L-shaped groove; 307. clamping groove; 40. supporting mechanism; 401. sleeve ring; 402. locking screw; 403. support rod 1; 404. support plate; 405. support rod 2; 406. connecting plate; 5. electrical box. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] Please see attached Figure 1 -Attached Figure 8 The embodiment of the present invention provides a multi-parameter remote monitoring type air environment monitoring device, comprising:

[0063] The air environment monitoring system 20 is used for real-time collection, data processing, transmission, storage and display of multiple parameters in the air environment. The air environment monitoring system 20 can collect, process and display multiple parameters in the air environment in real time, providing accurate and dynamic air quality monitoring capabilities and providing a scientific basis for environmental assessment and decision-making;

[0064] The bracket 1 is arranged at the bottom of the air environment monitoring system 20 and is used to support the air environment monitoring system 20 to monitor the air environment. The bracket 1 can initially enhance the stability of the device in a harsh outdoor environment and reduce the problem of inaccurate data caused by external interference;

[0065] The connecting mechanism 30 is arranged in the middle of the air environment monitoring system 20. The air environment monitoring system 20 can be installed or disassembled by pressing and rotating, which is convenient for carrying and replacing the air environment monitoring system 20. By pressing and rotating, the connecting mechanism 30 can conveniently install and disassemble the bracket 1 and the air environment monitoring system 20, reducing the complexity of device deployment and maintenance, and is particularly suitable for the rapid monitoring needs of multiple-point environments;

[0066] The electric box 5 is arranged outside the air environment monitoring system 20 and is used to provide electric energy for the air environment monitoring system 20, so that the air environment monitoring system 20 can be used in outdoor scenes. The electric box 5 can make the device run stably in outdoor scenes, which is particularly suitable for scenes lacking power supply such as the wild and remote areas, thereby improving the application range and reliability of the device;

[0067] The support mechanism 40 is arranged at the bottom of the air environment monitoring system 20, and is used to stably support the air environment monitoring system 20. At the same time, it can adjust the height of the air environment monitoring system 20 to monitor the air at different heights. The support mechanism 40 can enable the device to adapt to the needs of different terrains and environmental heights, which not only improves the stability of the device, but also expands the monitoring range, ensuring that the device can collect accurate air parameter data.

[0068] Please see attached Figure 5 -Attached Figure 8 In a preferred embodiment of the present invention, the air environment monitoring system 20 includes:

[0069] Multi-channel sensor module, used for real-time collection of air environment parameters. The multi-channel sensor module integrates multiple air environment parameter collection functions, can provide comprehensive air quality information in real time, adapt to multi-scenario application requirements, and ensure high accuracy and real-time monitoring data;

[0070] The data processing module is connected to the multi-channel sensor module for fusion processing and error correction of the collected air environment parameters. The data processing module improves the accuracy and credibility of the monitoring data, ensures the stability of the collected data under various environmental conditions, and provides a reliable basis for subsequent data transmission and analysis;

[0071] The data transmission module is connected to the data processing module and is used to transmit the processed data to the cloud platform. The data transmission module ensures the timely transmission and privacy protection of monitoring data through efficient compression algorithms and secure encryption technology, which is particularly suitable for the construction needs of wide-area multi-point monitoring networks;

[0072] The cloud platform is used to receive data and store, analyze and display it. The cloud platform integrates the storage, analysis and display functions of monitoring data, providing users with intuitive air quality data and scientific forecast information, making it easier for decision makers to respond quickly to environmental issues;

[0073] The user terminal is connected to the cloud platform for real-time viewing of monitoring data, historical data backtracking and abnormal warning. The user terminal realizes convenient access to monitoring data and dynamic warning functions, improves the user's perception of changes in the air environment, and facilitates rapid response measures.

[0074] Please see attached Figure 3 and attached Figure 4In a preferred embodiment of the present invention, the connecting mechanism 30 includes a connecting ring 1 301, which is fixedly connected to the bottom of the air environment monitoring system 20, and a block 302 is fixedly connected to the outer side of the connecting ring 1 301. A connecting ring 2 303 is fixedly connected to the end of the bracket 1 close to the air environment monitoring system 20, and a compression spring 304 is fixedly connected to the inside of the connecting ring 2 303, and an extrusion ring 305 is fixedly connected to the other end of the compression spring 304. An L-shaped groove 306 is provided on the side of the connecting ring 2 303 away from the bracket 1, and the block 302 is slidably connected to the middle part of the L-shaped groove 306. A groove 307 is provided on the inner side wall of the connecting ring 2 303, and the block 302 and the groove 307 are plugged together, wherein the L-shaped groove 306 is used to provide the block 302 with access And space for rotation, and the card slot 307 is used to provide space for the card block 302 to move upward, and at the same time, the L-shaped groove 306 enables the extrusion ring 305 to enter the connecting ring 2 303 when squeezed, and pop out when there is no pressure, so that when the card block 302 is inserted into the L-shaped groove 306, the connecting ring 1 301 squeezes the extrusion ring 305, and when the card block 302 moves to a position parallel to the card slot 307, the extrusion force on the extrusion ring 305 is eliminated by loosening the connecting ring 1 301 or pulling the connecting ring 1 301, and the compression spring 304 is reset to maintain the connection between the card block 302 and the card slot 307. Through the connecting mechanism 30, the user can quickly complete the installation and disassembly of the air environment monitoring system 20, which is particularly suitable for monitoring scenarios that require frequent replacement or movement.

[0075] Please see attached Figure 1 and attached Figure 2In a preferred embodiment of the present invention, the support mechanism 40 includes a collar 401, which is slidably connected to the outer periphery of the bracket 1, a locking screw 402 is threadedly connected to the middle of the collar 401, the locking screw 402 is in contact with the bracket 1, and the locking screw 402 is used to change the locking state of the collar 401 by tightening or loosening, and the outer side of the collar 401 is connected to multiple groups of support rods 1 403 through damping rotation, and the other end of the support rod 1 403 is connected to a support plate 404 through damping rotation, and the outer side of the support rod 1 403 is connected to a support rod 2 405 through damping rotation, and the other end of the support rod 2 405 is connected to a connection disk through damping rotation. 406, connection disk. 406 is fixedly connected to the bottom end of the bracket 1, wherein when the ring 401 moves upward, it will pull the support rod 1 403 and can retract the support rod 1 403 under the length limit of the support rod 2 405, and when the ring 401 moves downward, it can provide a downward moving force for the support rod 1 403. At this time, under the limit of the support rod 2 405, the support rod 2 405 can be tilted, thereby completing the deployment of the support rod 1 403, enhancing the anti-tilt ability of the device under complex terrain conditions, and at the same time being able to adjust the height of the device to adapt to different monitoring scenarios and height requirements, and the support plate 404 is used to increase the contact area with the ground, thereby further improving the stability of the device.

[0076] Please see attached Figure 5 and attached Figure 6 In a preferred embodiment of the present invention, the multi-channel sensor module comprises:

[0077] The particle sensor uses laser scattering technology to collect PM2.5 and PM10 concentrations in real time. The laser emission device inside the particle sensor generates a high-precision laser beam. When air flows through the sensor, the particles will scatter the laser. The photodetector receives the scattered light signal and calculates the particle size and concentration of the particles based on the intensity and angle of the scattered light through a preset algorithm, thereby providing accurate concentration data of particles in the air in real time. The particle sensor includes: Sensitivity: The minimum detection concentration is 1μg / m 3 , response time: less than 2 seconds; measurement range: 0~1000μg / m3;

[0078] The temperature and humidity sensor is designed based on thermistors and humidity-sensitive capacitors to monitor ambient temperature and relative humidity respectively. The temperature and humidity sensor uses high-precision thermistor elements to calculate the ambient temperature by measuring its resistance value that changes with temperature. The humidity monitoring uses a capacitive humidity-sensitive element, whose capacitance value changes with the change of ambient relative humidity. The sensor calculates the humidity value in real time through the change of capacitance value. The temperature and humidity sensor includes: temperature accuracy: ±0.2℃; humidity accuracy: ±1.5%RH; response time: temperature measurement is less than 2 seconds, humidity measurement is less than 5 seconds; measurement range: temperature: -40℃~85℃, humidity: 0%~100%RH;

[0079] Gas concentration sensor is used to monitor the concentration of target gas. Gas concentration sensor is suitable for monitoring harmful gases such as SO2 and NOx. The concentration is calculated based on the current generated by the chemical reaction between gas molecules and electrodes. The temperature accuracy sensor includes: target gas types: SO2, NOx, CO2, etc. (can be specifically listed); concentration detection range: SO2 (0~1000ppm), NOx (0~500ppm); accuracy: ±3% FS (full scale); response time: less than 3 seconds.

[0080] Please see attached Figure 5 and attached Figure 7 In a preferred embodiment of the present invention, the data processing module compresses the monitoring data, specifically including:

[0081] Use discrete cosine transform to extract the main information of the data, and perform real-time correction on the environmental interference errors in the monitoring data to ensure the accuracy of the data;

[0082] Discard the high-frequency part of the data and keep only the low-frequency part to reduce the amount of data.

[0083] Specifically: The discrete cosine transform formula is:

[0084]

[0085] Among them, X k : frequency domain coefficient (low-frequency or high-frequency information); x n : time domain sampling value (original monitoring data); N: number of sampling points; k: sequence number of frequency component;

[0086] Data compression formula:

[0087]

[0088] Where: M: the number of low-frequency coefficients retained; N: the total number of coefficients (i.e. the number of sampling points); Compression ratio: the ratio of storage space occupied by compressed data;

[0089] Error correction formula:

[0090] x 校正 =x 原始 -Δ 干扰

[0091] Where: x 原始 : The original data value collected by the sensor; Δ 干扰 : Error value introduced by environmental interference; x 校正 : Data value after error correction;

[0092] Δ 干扰 It can be calculated by interference model, for example based on the influence of temperature and humidity on the accuracy of particle sensor:

[0093] Δ 干扰 =a·T+b·H+c

[0094] Where: T: ambient temperature (°C); H: relative humidity (%RH); a, b, c: environmental influence coefficients obtained by experimental fitting.

[0095] After the data processing module transforms the original time series, it generates a set of frequency domain coefficients {0, 1, ..., N-1}, where the coefficients of the low-frequency part (such as 0, 1) represent the main components of the signal, and the coefficients of the high-frequency part represent noise or detail information.

[0096] After the coefficients are sorted, only the first M low-frequency coefficients (M<N) are retained and the high-frequency parts are discarded.

[0097] Through discrete cosine transform, the low-frequency characteristics of the original monitoring data can be extracted and stored efficiently, and the noise is effectively filtered out, ensuring that the data is concise and efficient. At the same time, the DCT algorithm has low computational complexity and can quickly complete compression after data collection to meet the needs of real-time monitoring and transmission. At the same time, by extracting low-frequency components and discarding high-frequency information, the amount of data is significantly reduced, the storage and transmission efficiency is greatly improved, and the key low-frequency information of the monitoring data is retained to ensure the accuracy and availability of environmental monitoring parameters.

[0098] The communication protocol details between the sensor module and the data processing module include:

[0099] Communication Protocol:

[0100] Interface type: Use I 2 C, SPI or UART and other standardized communication interfaces.

[0101] Data transmission rate: maximum support 1Mbps, ensuring real-time data transmission.

[0102] Data format: Supports sensor data format with 16-bit resolution.

[0103] Protocol feature: Use frame check (CRC) to ensure data transmission integrity.

[0104] Error handling mechanism:

[0105] Transmission anomaly monitoring: If communication is interrupted or data verification fails, the system automatically issues an alarm and starts a data retransmission mechanism.

[0106] Module compatibility: The data processing module can adapt to different types of sensor modules through configuration files.

[0107] Example communication flow:

[0108] The data processing module uses I 2 C protocol to poll the sensor module and read the temperature, humidity, particulate matter and gas concentration data.

[0109] Please see attached Figure 5 and attached Figure 8 In a preferred embodiment of the present invention, the data transmission module ensures the security of data transmission through the following steps:

[0110] The data is encrypted using the AES algorithm. The steps for symmetric encryption of data using the AES algorithm are as follows. After data collection, the system uses a 128-bit AES key to encrypt the monitoring data in blocks. The block size is 128 bits. The encryption process includes:

[0111] Key generation: Dynamically generate AES keys through a pseudo-random number generator to ensure uniqueness;

[0112] Data grouping: group the collected monitoring data into blocks;

[0113] Encryption operation: Use round functions to perform multiple rounds of encryption processing;

[0114] By using the AES algorithm to encrypt data, the confidentiality of the data content during transmission is ensured. Even if the ciphertext is intercepted, the plaintext content cannot be directly restored, thus ensuring the security of the monitoring data.

[0115] During the transmission process, the SSL / TLS protocol is used to protect the transmission channel. The security protection process includes:

[0116] Use digital certificates for identity authentication to ensure the legitimacy of both parties in the transmission;

[0117] Generate a shared key through key negotiation (such as Diffie-Hellman or RSA) for session encryption;

[0118] Adding a message authentication code (MAC) ensures data integrity and prevents tampering during transmission;

[0119] The SSL / TLS protocol provides high-intensity security protection for the data transmission channel through encryption and integrity verification, effectively preventing man-in-the-middle attacks, eavesdropping and data tampering, and ensuring the integrity and credibility of monitoring data;

[0120] The comparative analysis of the impact of AES and SSL / TLS on performance real-time performance is as follows:

[0121]

[0122] From the above table, we can get:

[0123] AES encryption increases data transmission delay by about 5 to 10 ms and reduces throughput by about 20%. SSL / TLS increases delay by 10 to 15 ms while providing higher security, but throughput remains within an acceptable range. At normal data collection frequency (collecting a data packet once per second, with a data packet size of 128 bytes), the above delay has little impact on real-time performance.

[0124] Security protection test data in high interference environment:

[0125] Test conditions:

[0126] Interference intensity: high noise environment (>20dB); electromagnetic interference (EM I simulation experiment).

[0127] Data packet parameters: 128 bytes per data packet; transmission frequency 1Hz.

[0128] Transmission environment: wireless channel interference, signal packet loss rate up to 5%

[0129] The test results are as follows:

[0130]

[0131]

[0132] From the above table, we can get:

[0133] In the unencrypted mode, the data packet loss rate is high and the integrity error rate is high, which cannot meet the reliability requirements of high-interference scenarios; AES encryption and SSL / TLS protocols significantly reduce the data packet loss rate and completely eliminate data integrity errors; SSL / TLS has the best security protection capability in high-interference environments, and although the delay is slightly higher than AES encryption alone, it is still acceptable in real-time monitoring scenarios;

[0134] The applicable scenarios of this system include:

[0135] High-interference environment: Industrial plant areas: complex radio signal interference; urban dense areas: many sources of signal transmission interference, data is easily lost; field monitoring stations: equipment is affected by meteorological and geographical conditions.

[0136] Low-interference environment:

[0137] Indoor monitoring: Less interference, AES encryption can meet the balance requirements of performance and security.

[0138] Please see attached Figure 5 In a preferred embodiment of the present invention, the cloud platform uses a long short-term memory network (LSTM) model to predict air quality trends. The model uses historical monitoring data and meteorological characteristic data as input to generate air quality prediction values. The LSTM model can effectively capture long-term and short-term dependencies in time series and generate high-precision air quality prediction values. Combined with historical monitoring data and meteorological characteristic data, multi-dimensional input enhances the model's adaptability to complex environments.

[0139] Please see attached Figure 5 In a preferred embodiment of the present invention, the cloud platform supports generating user-defined reports, specifically including:

[0140] Provides parameter dimension and time range selection functions, and flexible parameter selection functions, allowing users to quickly generate reports that meet specific needs, greatly improving the practicality and visualization of monitoring data;

[0141] Generate corresponding report data based on the parameters and time range selected by the user. The cloud platform receives the parameter dimensions and time range entered by the user and generates a database query statement:

[0142] Among them, is the parameter set selected by the user, is the time range, the database retrieves the corresponding data through efficient indexing, and returns the results to the report generation module;

[0143] Report Generation:

[0144] The cloud platform calls the report generation engine to organize the retrieved data into reports according to the chart type or table format specified by the user.

[0145] The report content includes summary statistics and trend analysis of monitoring data;

[0146] The data screening and report generation module efficiently integrates user needs and system data, quickly generates accurate customized reports, and provides users with clear and intuitive analysis results;

[0147] Supports exporting reports to PDF or Excel format. Report export process:

[0148] After the user selects the export format, the cloud platform renders the generated report data into a PDF or Excel file through the corresponding template. The exported file can be downloaded through the user terminal or sent to the designated contact via email. The report export function supports file generation in multiple formats to meet the user's needs in different scenarios such as display, archiving or secondary analysis, thereby improving the system's ease of use.

[0149] Please see attached Figure 5 In a preferred embodiment of the present invention, the user terminal provides a real-time warning function, specifically including:

[0150] Use anomaly monitoring algorithms to determine whether data exceeds the warning threshold, dynamically identify data that exceeds the threshold, avoid false positives and false negatives, and achieve accurate warnings;

[0151] The abnormal monitoring algorithm is used to dynamically determine whether the monitoring data exceeds the normal range and trigger a real-time warning. The core functions include:

[0152] Dynamic adjustment of thresholds: Dynamically set thresholds based on the distribution characteristics of historical data and the fluctuation range of current monitoring data to adapt to different scenarios and environmental changes.

[0153] Anomaly detection strategy: Single parameter anomaly detection: whether a single monitoring parameter exceeds the standard.

[0154] Multi-parameter correlation anomaly detection: correlation anomalies between multiple parameters (such as the abnormal pattern of high PM2.5 accompanied by high humidity);

[0155] Static threshold judgment formula: The static threshold is pre-set according to regulatory standards or environmental requirements. The formula is:

[0156] Trigger condition: x t >Threshold static

[0157] Where: x t : Real-time monitoring data; Threshold static : Static threshold (such as national environmental standards);

[0158] Dynamic threshold adjustment: The dynamic threshold is set based on the statistical characteristics of historical data. The formula is:

[0159] Threshold dynamic =μ t +k·σ t

[0160] Where: μ t : The average value of monitoring data in the most recent period (such as 1 hour); σ t: Standard deviation of data in the most recent period; k: Sensitivity coefficient, adjusted according to application requirements (such as low false alarm rate or high sensitivity), recommended value is 2 or 3;

[0161] Multi-parameter correlation anomaly judgment formula: The correlation model between multiple parameters is constructed through linear regression or machine learning methods, and the anomaly detection formula is:

[0162]

[0163] Where: x i : The current value of the i-th monitoring parameter; The expected value of the i-th parameter based on the predictions of other parameters; σ i : The standard deviation of the i-th parameter in the historical data; if Anomaly Score>Threshold, it is judged as abnormal;

[0164] When an early warning is triggered, the alarm information will be sent to the user in the form of SMS, email or notification. The diversified early warning trigger mechanism ensures that the user can receive the alarm information in time and take appropriate response measures according to the abnormal situation to reduce the impact of pollution. At the same time, the early warning record and feedback function helps users conduct long-term analysis and optimize the system's adaptability to environmental changes.

[0165] In order to better understand the present invention, the following uses scenarios to verify the effects of the present invention.

[0166] Monitoring targets: particulate matter (PM2.5 and PM10), SO2, and NOx concentrations.

[0167] Ambient temperature and humidity.

[0168] Test results: PM2.5 concentration range: 12~95μg / m3, the monitoring data fluctuation and manual sampling analysis error are less than ±1.5%.

[0169] SO2 concentration range: 3~400ppm, monitoring error is ±2%.

[0170] Transmission reliability: Using AES encryption and TLS protocol, there was no data packet loss or transmission error within 30 days, and the average delay was 18ms.

[0171] Equipment stability: All equipment is fault-free and data integrity reaches 100%.

[0172] Monitoring targets: PM2.5 and PM10 concentrations.

[0173] CO2 concentration.

[0174] Temperature and humidity data.

[0175] Test results: Daily change trend of PM2.5 concentration: Compared with the base station data of the Environmental Protection Bureau, the correlation coefficient is 0.98, and the trend change is consistent.

[0176] CO2 concentration range: 400-650ppm, with significant concentration fluctuations during peak hours in the morning and evening.

[0177] Real-time warning response: PM2.5 exceeds the standard and alarms are triggered 3 times. The warning information is accurate and the SMS and APP notification delays do not exceed 5 seconds.

[0178] Working principle: When in use, by inserting the connecting ring 1 301 and the block 302 into the connecting ring 2 303, the squeezing ring 305 can be squeezed to make it move while entering, and the compression spring 304 is compressed while moving. After the connecting ring 1 301 enters, the connecting ring 1 301 is rotated. When it cannot be rotated, the connecting ring 1 301 is loosened and the squeezing ring 305 can bounce the block 302 into the card slot 307 under the action of the compression spring 304, so as to connect the bracket 1 and the air environment monitoring system 20. By pressing the connecting ring 1 301 and rotating it in the opposite direction, the bracket 1 and the air environment monitoring system 20 can be separated.

[0179] The locking state of the collar 401 is released by rotating the locking screw 402. At this time, the collar 401 is pulled to move vertically, and under the restriction of the connecting plate 406 and the second support rod 405, the support rod 1 403 can drive the support plate 404 to expand or retract, so that the height of the air environment monitoring system 20 can be adjusted, and the stability of the device can be improved;

[0180] Finally, the air environment monitoring task can be completed through the air environment monitoring system 20 .

[0181] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-parameter remote monitoring air environment monitoring device, characterized in that: include: An air environment monitoring system (20) is used for real-time collection, data processing, transmission, storage and display of various parameters in the air environment; A bracket (1), which is arranged at the bottom of the air environment monitoring system (20) and is used to support the air environment monitoring system (20) to perform air environment monitoring work; A connecting mechanism (30) is arranged in the middle of the air environment monitoring system (20), and the air environment monitoring system (20) can be installed or disassembled by pressing and rotating, so as to facilitate the carrying and replacement operation of the air environment monitoring system (20); An electric box (5), which is arranged outside the air environment monitoring system (20) and is used to provide electric energy to the air environment monitoring system (20), so that the air environment monitoring system (20) can be used in outdoor scenes; A support mechanism (40) is arranged at the bottom of the air environment monitoring system (20) and is used to stably support the air environment monitoring system (20) and can adjust the height of the environment monitoring system (20) to monitor air at different heights.

2. The multi-parameter remote monitoring type air environment monitoring device according to claim 1 is characterized in that: The air environment monitoring system (20) comprises: Multi-channel sensor module for real-time collection of air environment parameters; A data processing module, which is in communication with the multi-channel sensor module and is used for fusing and correcting the collected air environment parameters; A data transmission module, which is in communication with the data processing module and is used to transmit the processed data to the cloud platform; A cloud platform for receiving the data and storing, analyzing and displaying the data; The user terminal is connected to the cloud platform for real-time monitoring of data, historical data backtracking and abnormal warning.

3. The multi-parameter remote monitoring type air environment monitoring device according to claim 1 is characterized in that: The connection mechanism (30) comprises a connection ring 1 (301), wherein the connection ring 1 (301) is fixedly connected to the bottom of the air environment monitoring system (20), a clamping block (302) is fixedly connected to the outer side of the connection ring 1 (301), a connection ring 2 (303) is fixedly connected to one end of the bracket (1) close to the air environment monitoring system (20), a compression spring (304) is fixedly connected to the inside of the connection ring 2 (303), and an extrusion ring (305) is fixedly connected to the other end of the compression spring (304), an L-shaped groove (306) is provided on the side of the connection ring 2 (303) away from the bracket (1), the clamping block (302) is slidably connected to the middle part of the L-shaped groove (306), and a clamping groove (307) is provided on the inner side wall of the connection ring 2 (303), and the clamping block (302) and the clamping groove (307) are plug-fitted.

4. The multi-parameter remote monitoring type air environment monitoring device according to claim 1, characterized in that: The support mechanism (40) comprises a collar (401), wherein the collar (401) is slidably connected to the outer periphery of the bracket (1), a locking screw (402) is threadedly connected to the middle part of the collar (401), the locking screw (402) and the bracket (1) are in contact, the outer side of the collar (401) is connected to a plurality of groups of support rods 1 (403) through damping rotation, the other end of the support rods 1 (403) is connected to a support plate (404) through damping rotation, the outer side of the support rods 1 (403) is connected to a support rod 2 (405) through damping rotation, the other end of the support rods 2 (405) is connected to a connecting plate (406) through damping rotation, and the connecting plate (406) is fixedly connected to the bottom end of the bracket (1).

5. The multi-parameter remote monitoring type air environment monitoring device according to claim 2, characterized in that: The multi-channel sensor module comprises: Particle sensor, using laser scattering technology to collect PM2.5 and PM10 concentrations in real time; Temperature and humidity sensors, designed based on thermistors and humidity-sensitive capacitors, monitor ambient temperature and relative humidity respectively; Gas concentration sensor, used to monitor the concentration of target gas.

6. The multi-parameter remote monitoring type air environment monitoring device according to claim 5, characterized in that: The data processing module compresses the monitoring data, specifically including: Use discrete cosine transform to extract the main information of the data, and perform real-time correction on the environmental interference errors in the monitoring data to ensure the accuracy of the data; Discard the high-frequency part of the data and keep only the low-frequency part to reduce the amount of data.

7. The multi-parameter remote monitoring type air environment monitoring device according to claim 5, characterized in that: The data transmission module ensures the security of data transmission through the following steps: Encrypt data using the AES algorithm; During the transmission process, the SSL / TLS protocol is used to protect the transmission channel.

8. The multi-parameter remote monitoring type air environment monitoring device according to claim 5, characterized in that: The cloud platform uses a long short-term memory network model to predict air quality trends. The model uses historical monitoring data and meteorological characteristic data as input to generate predicted values ​​of air quality.

9. The multi-parameter remote monitoring type air environment monitoring device according to claim 5, characterized in that: The cloud platform supports the generation of user-defined reports, including: Provides the function of selecting parameter dimensions and time range; Generate corresponding report data according to the parameters and time range selected by the user; Supports exporting reports to PDF or Excel formats.

10. The multi-parameter remote monitoring type air environment monitoring device according to claim 5, characterized in that: The user terminal provides a real-time warning function, specifically including: Use anomaly monitoring algorithms to determine whether data exceeds the warning threshold; When an early warning is triggered, the alarm information will be sent to the user in the form of SMS, email or notification.

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