Environment temperature and humidity comprehensive monitoring equipment

Abstract

The invention discloses an environment temperature and humidity comprehensive monitoring device, and relates to the field of environment monitoring, and the device comprises a mounting rack which is used for bearing all functional parts and functional modules, and serves as a mounting main body; the monitoring unit is used for detecting temperature and humidity data in a limited range as initial detection data; the temperature and humidity acquisition part is used for analyzing interference sources and influence events in a limited range and compensating initial detection data; the monitoring unit and the temperature and humidity acquisition part are both mounted on the surface of the mounting frame; an interference source in an environment and a state of the interference source are detected and identified in real time, an interference compensation model is constructed by using historical data, influence brought by the interference source is converted into a compensation value, and detection data are corrected, so that external interference factors are compensated intelligently, and an initial detection value is corrected based on the compensation model and an actual interference value. The stability and accuracy of final temperature and humidity monitoring data are ensured, and the actual condition of the current monitoring area is accurately reflected.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to a comprehensive monitoring device for environmental temperature and humidity. Background Art

[0002] Monitoring ambient temperature and humidity is an important indicator for assessing and protecting the health of the environment and ecology. Through long-term monitoring, the trend of environmental changes can be discovered, providing a scientific basis for ecological protection and restoration. It has important application significance in the fields of planting, construction, industrial production, public transportation, and residential areas. Abnormal changes in temperature and humidity may cause safety problems or major losses. Through comprehensive monitoring, timely warning and response can be provided to ensure public safety.

[0003] Then in the actual monitoring process, different monitoring scenarios face different challenges. Due to the changing conditions around the monitoring site, for example, wind speed, pollution level and obstruction status will bring different degrees of interference, which will cause the initial temperature and humidity monitoring values ​​of the current location to be different from the actual temperature and humidity monitoring values ​​of the current area. It is difficult to relatively effectively reflect the overall temperature and humidity monitoring values ​​in the current area, so there is a monitoring blind spot, resulting in insufficient accuracy of the monitoring data in the overall regional monitoring process;

[0004] Therefore, there is a need for a comprehensive environmental temperature and humidity monitoring device to obtain comprehensive monitoring data in a limited area with a changing environmental ecology. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides an environmental temperature and humidity comprehensive monitoring device, which can effectively solve the problems of the prior art.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] The present invention discloses a comprehensive monitoring device for environmental temperature and humidity, comprising:

[0010] The mounting frame is used to carry various functional components and functional modules as the installation body;

[0011] A monitoring unit, used to monitor the temperature and humidity data within a limited range as initial monitoring data;

[0012] Temperature and humidity collection component, used to analyze interference sources and influencing events within a limited range and compensate for initial detection data;

[0013] The monitoring unit and the temperature and humidity collection component are both mounted on the surface of the mounting frame;

[0014] Among them, the temperature and humidity collection components specifically include:

[0015] The management module is used to send remote control instructions to the functional modules and functional components and obtain the initial detection values ​​collected by the monitoring unit;

[0016] The scene recognition module is used to identify the basic features of the current monitoring scene through machine vision technology;

[0017] The interference source detection module is used to determine whether there is an interference source in the current scene based on the basic characteristics of the current monitoring scene, confirm the type of the interference source and its specific state, and obtain the interference value of the interference source;

[0018] A storage module is used to store the interference values ​​of various interference sources in historical scenarios and their corresponding collected initial temperature and humidity data and final compensation data;

[0019] A data calling module is used to call historical data of the same or similar historical scenarios from the storage module according to the specific scenarios, types of interference sources and their interference values ​​obtained through analysis;

[0020] The compensation unit is used to correct the initial monitoring data based on the current scene, the type of interference source and its interference value, combined with historical data, and output the final temperature and humidity monitoring data;

[0021] The event analysis unit is used to obtain the influence coefficient of the random event on the initial detection value as a correction reference for the compensation unit.

[0022] Furthermore, the compensation unit includes:

[0023] The model building module is used to build a compensation model based on the impact relationship in historical data through a deep learning algorithm to calculate the comprehensive impact under different historical specific scenarios and interference source combinations;

[0024] The interference value compensation module is used to apply the compensation model, analyze the number and status of interference sources in the current scene, and calculate the required compensation value based on the identified interference sources and their interference values;

[0025] A correction output module is used to apply the compensation value to the initial detection value, correct the initial detection value, and output the actual temperature and humidity detection value;

[0026] The model building module is interactively connected with the interference value compensation module and the correction output module via a wireless network.

[0027] Furthermore, the process of calculating the required compensation value by the interference value compensation module is expressed by the following formula:

[0028]

[0029] In the formula, T represents the temperature compensation value, H represents the humidity compensation value, and D i represents the interference value of the i-th interference source, a i Represents the interference source D i Factor affecting temperature, b i Represents the interference source D i Factors affecting humidity.

[0030] Furthermore, in the process of correcting the initial detection value, the correction output module calculates the difference between the initially obtained temperature and humidity detection value and the corresponding temperature and humidity compensation value, so as to obtain the actual temperature and humidity detection value.

[0031] Furthermore, the interference sources include wind, pollution, environmental obstacles and electromagnetism.

[0032] Furthermore, the scene recognition module collects the original data of the current environment in real time through sensors, performs feature extraction and scene classification after preprocessing, and labels the recognized scenes.

[0033] Furthermore, the event analysis unit includes:

[0034] The event acquisition module is used to monitor and record specific impact events in real time, convert them into impact features, and support custom editing of impact event features;

[0035] The fluctuation analysis module is used to analyze the specific impact fluctuation coefficient of the event on the temperature and humidity detection values ​​based on the characteristics of the acquired impact event, and to combine the fluctuation coefficient generated by the impact event with the current initial detection value for analysis and processing;

[0036] The event acquisition module and the fluctuation analysis module are interactively connected via a wireless network.

[0037] Furthermore, in the process of the storage module providing historical data to the data calling module, the storage module constructs a data table, classifies the data table, and then defines key fields and sets indexes. When the data calling module starts to retrieve, it matches the current scene and interference source combination and calls the corresponding historical data.

[0038] Furthermore, the data table is classified into a scene table, an interference source table and a monitoring table, wherein the scene table is used to save information of different monitoring scenes, the interference source table is used to save detailed information of various interference sources, and the monitoring table is used to save temperature and humidity monitoring data under each scene and its associated interference coefficient.

[0039] Furthermore, the management module is interactively connected to the data calling module, the storage module and the scene recognition module through a wireless network, the compensation unit is interactively connected to the data calling module and the interference source detection module through a wireless network, and the interference source detection module is interactively connected to the scene recognition module through a wireless network.

[0040] (III) Beneficial effects

[0041] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:

[0042] 1. Through real-time detection and identification of interference sources and their status in the environment, using historical data to build an interference compensation model, the impact of the interference source is converted into a compensation value, and the detection data is corrected, thereby intelligently compensating for external interference factors. Based on the compensation model and the actual interference value, the initial detection value is corrected to ensure the stability and accuracy of the final temperature and humidity monitoring data, which can accurately reflect the actual conditions of the current monitoring area and is universal within a limited range. By using and learning historical data, the compensation model is in a continuous optimization process, further improving the equipment's adaptability and prediction accuracy in the long-term working process.

[0043] 2. Use historical data through deep learning algorithms to build compensation models to reflect the comprehensive impact of different scenarios and interference source combinations. Apply the compensation model to analyze the interference sources in the current scenario. By building a classified data table, detailed monitoring data and interference coefficients are stored. This allows historical data to be called based on the current scenario and interference source to calculate compensation values, thereby automatically identifying and responding to different monitoring scenarios and their interference sources, ensuring the accuracy and adaptability of data correction.

[0044] 3. By capturing key influencing events in the environment in real time, monitoring and analyzing the impact of random events on initial monitoring data, analyzing the fluctuation coefficient of influencing events and adjusting the detection value in real time, it can quickly respond to changing events in the environment, dynamically adjust the impact coefficient of temperature and humidity data, and maintain real-time and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 It is a structural schematic diagram of an environmental temperature and humidity comprehensive monitoring device in the present invention;

[0047] Figure 2It is a schematic diagram of the framework of the monitoring unit in the present invention.

[0048] The numbers in the figure represent: 1. mounting frame; 2. monitoring unit; 3. temperature and humidity collection component. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 making creative work are within the scope of protection of the present invention.

[0050] The present invention will be further described below in conjunction with the embodiments.

[0051] Example

[0052] An environmental temperature and humidity comprehensive monitoring device of this embodiment, such as Figure 1 and Figure 2 As shown, including:

[0053] The mounting frame 1 is used to carry various functional components and functional modules as the mounting body;

[0054] Monitoring unit 2, used to monitor the temperature and humidity data within a limited range as initial monitoring data;

[0055] Temperature and humidity collection component 3, used to analyze interference sources and influencing events within a limited range and compensate for initial detection data; specifically, it is a temperature sensor and a humidity sensor, and interference sources include wind, pollution, environmental obstacles and electromagnetic;

[0056] The monitoring unit 2 and the temperature and humidity collection component 3 are both mounted on the surface of the mounting frame 1;

[0057] Among them, the temperature and humidity collection component 3 specifically includes:

[0058] The management module is used to send remote control instructions to the functional modules and functional components and obtain the initial detection values ​​collected by the monitoring unit 2;

[0059] The scene recognition module is used to identify the basic features of the current monitoring scene through machine vision technology. The scene recognition module collects the original data of the current environment in real time through sensors, extracts features and classifies scenes after preprocessing, and labels the identified scenes to facilitate subsequent data analysis and historical data comparison.

[0060] The interference source detection module is used to determine whether there is an interference source in the current scene based on the basic characteristics of the current monitoring scene, confirm the type of interference source and its specific state, and obtain the interference value of the interference source; improve the overall anti-interference ability of the system to ensure that high data accuracy can be maintained in complex environments;

[0061] The storage module is used to store the interference values ​​of various interference sources in historical scenarios and their corresponding initial temperature and humidity data and final compensation data. In the process of providing historical data to the data call module, the storage module constructs a data table, classifies the data table, and then defines key fields and sets indexes. When the data call module starts to retrieve, it matches the current scene and the interference source combination, and calls the corresponding historical data. The data table is classified into a scene table, an interference source table, and a monitoring table. The scene table is used to save information of different monitoring scenarios, the interference source table is used to save detailed information of various interference sources, and the monitoring table is used to save temperature and humidity monitoring data in each scenario and its associated interference coefficient. The interference values, initial temperature and humidity data, and compensated data collected in historical scenarios are stored to provide a basis for future data calls, build a clearly classified data table, and set indexes to ensure the efficiency of data calls, provide rich historical data, and enable the system to learn and self-optimize.

[0062] The data calling module is used to call the historical data of the same or similar historical scenarios to the storage module according to the specific scenarios, types of interference sources and their interference values ​​obtained by analysis. It can quickly and effectively call the matching historical data of the same or similar scenarios according to the current analysis results, improve the rationality of the compensation data, realize data verification and compensation through the call of historical data, improve the credibility of the monitoring data, greatly reduce the calculation amount of real-time processing, and improve the real-time response capability of the system.

[0063] The management module is interactively connected with the data calling module, the storage module and the scene recognition module through a wireless network, the compensation unit is interactively connected with the data calling module and the interference source detection module through a wireless network, and the interference source detection module is interactively connected with the scene recognition module through a wireless network.

[0064] In other aspects, this embodiment also provides a compensation unit, such as Figure 2 As shown, the compensation unit is used to correct the initial detection data based on the current scene, the type of interference source and its interference value, combined with historical data, and output the final temperature and humidity monitoring data.

[0065] The compensation unit includes:

[0066] The model building module is used to build a compensation model based on the impact relationship in historical data through a deep learning algorithm to calculate the comprehensive impact under different historical specific scenarios and interference source combinations;

[0067] The interference value compensation module is used to apply the compensation model, analyze the number and status of interference sources in the current scene, and calculate the required compensation value based on the identified interference sources and their interference values;

[0068] The process of calculating the required compensation value by the interference value compensation module is expressed by the following formula:

[0069]

[0070] In the formula, T represents the temperature compensation value, H represents the humidity compensation value, and D i represents the interference value of the i-th interference source, a i Represents the interference source D i Factor affecting temperature, b i Represents the interference source D i Factors affecting humidity;

[0071] The correction output module is used to apply the compensation value to the initial detection value, correct the initial detection value, and output the actual temperature and humidity detection value. In the process of correcting the initial detection value by the correction output module, the difference between the initial temperature and humidity detection value and the corresponding temperature and humidity compensation value is calculated to obtain the actual temperature and humidity detection value;

[0072] The model building module is interactively connected with the interference value compensation module and the correction output module via a wireless network;

[0073] Compared with the existing technology, the above-mentioned compensation unit dynamically adjusts the compensation value according to real-time environmental changes, provides rapid response capabilities, enables temperature and humidity monitoring data to be quickly corrected, ensures the timeliness of the data, supports users to customize the type and status of interference sources, and dynamically combines these interference sources to adapt to the influence of multiple interference sources in different complex environments, thereby improving the system's adaptability and wide applicability.

[0074] In this embodiment, Figure 2 As shown, an event analysis unit is provided, which is used to obtain the influence coefficient of the random event on the initial detection value as a correction reference for the compensation unit;

[0075] The event analysis unit includes: an event acquisition module, which is used to monitor and record specific impact events in real time, convert them into impact features, and support custom editing of the features of impact events; a fluctuation analysis module, which is used to analyze the specific impact fluctuation coefficient of the event on the temperature and humidity detection values ​​based on the acquired features of the impact event, and merge the fluctuation coefficient generated by the impact event with the current initial detection value for analysis and processing; the event acquisition module and the fluctuation analysis module are interactively connected via a wireless network.

[0076] Compared with the prior art, the above-mentioned event analysis unit can more accurately correct the temperature and humidity detection results by analyzing the influencing events and their fluctuation coefficients. These influencing events may include temporary airflow changes, short-term pollution events, etc. Ignoring these factors may lead to inaccurate detection results. Environmental changes are dynamic. The influencing event analysis module can capture and process these changes in real time, so that the system can dynamically adjust the compensation model to better adapt to the actual situation.

[0077] Different application scenarios have different key influencing factors. Through the impact event analysis module, personalized settings can be made according to specific needs to achieve more accurate environmental monitoring.

[0078] Working principle: During the installation process, the present invention is installed at a designated location through the mounting frame 1, the temperature and humidity collection component 3 performs initial collection of temperature and humidity data, and the monitoring unit 2 performs comprehensive analysis;

[0079] The management module sends start and stop instructions to each module and component, the scene recognition module recognizes the surrounding scene, the interference source detection module analyzes and determines whether there is an interference source in the identification information, and if so, analyzes the type and specific degree of the interference source. The data call module interacts with the storage module to retrieve historical similar data based on the current data. The model construction module in the compensation unit constructs and trains the compensation model through historical data. The trained compensation model receives the current data and its corresponding historical similar data for comprehensive analysis. The event acquisition module captures random events, and the fluctuation analysis module analyzes the influencing parameters of the event, and uses the influencing coefficient as a reference for the correction output module. Finally, the correction output module outputs the final temperature and humidity monitoring data after compensation.

[0080] It can provide highly accurate and real-time corrected temperature and humidity monitoring data in complex and changing environments, overcoming the data error problem of traditional equipment in the face of interference and dynamically changing environments.

[0081] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A comprehensive monitoring device for environmental temperature and humidity, characterized in that: include: A mounting frame (1) is used to carry various functional components and functional modules and serves as a mounting body; A monitoring unit (2) is used to monitor temperature and humidity data within a limited range as initial monitoring data; The temperature and humidity collection component (3) is used to analyze interference sources and influencing events within a limited range and to compensate for initial detection data; The monitoring unit (2) and the temperature and humidity collection component (3) are both mounted on the surface of the mounting frame (1); The temperature and humidity collection component (3) specifically includes: A management module, used to send remote control instructions to the functional modules and functional components, and obtain the initial detection values ​​collected by the monitoring unit (2); The scene recognition module is used to identify the basic features of the current monitoring scene through machine vision technology; The interference source detection module is used to determine whether there is an interference source in the current scene based on the basic characteristics of the current monitoring scene, confirm the type of the interference source and its specific state, and obtain the interference value of the interference source; A storage module is used to store the interference values ​​of various interference sources in historical scenarios and their corresponding collected initial temperature and humidity data and final compensation data; A data calling module is used to call historical data of the same or similar historical scenarios from the storage module according to the specific scenarios, types of interference sources and their interference values ​​obtained through analysis; The compensation unit is used to correct the initial monitoring data based on the current scene, the type of interference source and its interference value, combined with historical data, and output the final temperature and humidity monitoring data; The event analysis unit is used to obtain the influence coefficient of the random event on the initial detection value as a correction reference for the compensation unit.

2. The environmental temperature and humidity comprehensive monitoring device according to claim 1, characterized in that: The compensation unit comprises: The model building module is used to build a compensation model based on the impact relationship in historical data through a deep learning algorithm to calculate the comprehensive impact under different historical specific scenarios and interference source combinations; The interference value compensation module is used to apply the compensation model, analyze the number and status of interference sources in the current scene, and calculate the required compensation value based on the identified interference sources and their interference values; A correction output module is used to apply the compensation value to the initial detection value, correct the initial detection value, and output the actual temperature and humidity detection value; The model building module is interactively connected with the interference value compensation module and the correction output module via a wireless network.

3. The comprehensive monitoring device for environmental temperature and humidity according to claim 2, characterized in that: The process of calculating the required compensation value by the interference value compensation module is expressed by the following formula: In the formula, T represents the temperature compensation value, H represents the humidity compensation value, and D i represents the interference value of the i-th interference source, a i Represents the interference source D i Factor affecting temperature, b i Represents the interference source D i Factors affecting humidity.

4. The environmental temperature and humidity comprehensive monitoring device according to claim 2, characterized in that: In the process of correcting the initial detection value, the correction output module calculates the difference between the initially obtained temperature and humidity detection value and the corresponding temperature and humidity compensation value, so as to obtain the actual temperature and humidity detection value.

5. The environmental temperature and humidity comprehensive monitoring device according to claim 1, characterized in that: The interference sources include wind, pollution, environmental obstacles and electromagnetism.

6. The environmental temperature and humidity comprehensive monitoring device according to claim 1, characterized in that: The scene recognition module collects the original data of the current environment in real time through sensors, performs feature extraction and scene classification after preprocessing, and labels the recognized scenes.

7. The environmental temperature and humidity comprehensive monitoring device according to claim 1, characterized in that: The event analysis unit comprises: The event acquisition module is used to monitor and record specific impact events in real time, convert them into impact features, and support custom editing of impact event features; The fluctuation analysis module is used to analyze the specific impact fluctuation coefficient of the event on the temperature and humidity detection values ​​based on the characteristics of the acquired impact event, and to combine the fluctuation coefficient generated by the impact event with the current initial detection value for analysis and processing; The event acquisition module and the fluctuation analysis module are interactively connected via a wireless network.

8. The environmental temperature and humidity comprehensive monitoring device according to claim 1, characterized in that: In the process of the storage module providing historical data to the data calling module, the storage module constructs a data table, classifies the data table, and then defines key fields and sets indexes. When the data calling module starts searching, it matches the current scene and interference source combination and calls the corresponding historical data.

9. The environmental temperature and humidity comprehensive monitoring device according to claim 8, characterized in that: The data table is classified into a scene table, an interference source table and a monitoring table, wherein the scene table is used to store information of different monitoring scenes, the interference source table is used to store detailed information of various interference sources, and the monitoring table is used to store temperature and humidity monitoring data under each scene and its associated interference coefficient.

10. The environmental temperature and humidity comprehensive monitoring device according to claim 1, characterized in that: The management module is interactively connected to the data calling module, the storage module and the scene recognition module through a wireless network, the compensation unit is interactively connected to the data calling module and the interference source detection module through a wireless network, and the interference source detection module is interactively connected to the scene recognition module through a wireless network.

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