Constant-temperature workshop temperature and humidity detection system

Abstract

The application discloses a constant-temperature workshop temperature and humidity detection system, and relates to the field of intelligent device layout. The technical scheme realizes accurate environment modeling by constructing a three-dimensional space model and a multidimensional database, adopts a phased experimental verification system, scientifically quantifies the spatial relationship between a ventilation control domain and a device influence domain, innovatively uses a data point cloud matching technology to establish a temperature gradient field and a distance attenuation curve, combines device thermal effect analysis and a regional coincidence rate algorithm, realizes intelligent differentiated layout of temperature and humidity sensors, establishes deep integration of physical space modeling, dynamic experimental verification and data-driven decision-making, guarantees result repeatability through a standardized experimental process, optimizes sensor deployment density by using the spatial mapping relationship between the device and the air vent, significantly improves temperature control accuracy while reducing operation and maintenance costs, forms a complete closed loop from data collection, experimental verification to intelligent control, and provides an environment monitoring solution with scientificity and engineering practicability for constant-temperature workshops.

Description

A temperature and humidity monitoring system for constant temperature factory buildings Technical Field

[0001] This application relates to the field of intelligent equipment deployment, and in particular to a temperature and humidity detection system for a constant temperature workshop. Background Technology

[0002] Intelligent sensor deployment is a product of the deep integration of the Internet of Things, artificial intelligence and sensor technology. It aims to deploy sensors in specific environments through scientific and reasonable methods to obtain target information efficiently and accurately. Traditional sensor deployment mainly relies on human experience and simple rules, lacking comprehensive consideration of complex environments and dynamic changes.

[0003] In monitoring large industrial plants, existing technologies may not be able to fully cover all key areas through manual deployment, resulting in monitoring blind spots. This affects the accurate assessment of equipment operating status and safety hazards. Moreover, once the environment or monitoring needs change, readjusting the deployment plan is costly and inefficient. Summary of the Invention

[0004] The purpose of this invention is to provide a constant temperature and humidity detection system for factory buildings to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a constant temperature and humidity detection system for a factory, comprising:

[0006] Basic data acquisition module: used to acquire the basic dataset corresponding to the target factory;

[0007] Initial Experiment Module: Used to conduct initial experiments based on the basic dataset corresponding to the target factory, and obtain preliminary experimental reference results corresponding to the target factory;

[0008] Equipment operation analysis module: used to analyze each working equipment corresponding to the target plant and obtain the temperature influence set corresponding to the target plant;

[0009] Integrated Management and Control Module: This module is used to perform comprehensive analysis based on the preliminary experimental reference results and the temperature influence set corresponding to the target plant, and to obtain the deployment control results of the temperature and humidity sensors corresponding to the target plant.

[0010] In the preferred embodiment of this solution, the basic data acquisition module is executed as follows:

[0011] A data extraction relationship is established between the data acquisition and initial experiment module and the database. The basic information set corresponding to the target factory stored in the database is extracted. The basic information set includes the area, height, distribution information of working equipment and distribution information of air conditioning equipment corresponding to the target factory. A spatial three-dimensional model of the target factory is established based on the area, height, distribution information of working equipment and distribution information of air conditioning equipment corresponding to the target factory. By extracting information from the spatial three-dimensional model of the target factory, the spatial position coordinates of each working equipment and the spatial position coordinates of each ventilation opening in the target factory are obtained. The spatial position coordinates of the working equipment refer to the spatial position coordinates of the preset geometric center of the working equipment.

[0012] Obtain the size information of each working device in the target factory. The size information includes the average width, average length and average height of each working device in the target factory. Based on the spatial position coordinates of each working device in the target factory and the average width, average length and average height of each working device, divide the space to obtain the relative spatial area corresponding to each working device in the target factory.

[0013] Obtain the operating parameters of each air conditioner in the target factory, including the operating power corresponding to each target operating temperature;

[0014] The planar coordinates and height of each ventilation opening in the target factory are obtained by using the spatial coordinates of each ventilation opening in the target factory.

[0015] In a preferred embodiment of this scheme, the initial experimental module is executed as follows:

[0016] An initial experimental model for the target factory is constructed based on the basic dataset corresponding to the target factory. An analysis experiment is conducted based on the initial experimental model corresponding to the target factory to obtain preliminary experimental reference results for the target factory.

[0017] In a preferred embodiment of this solution, the specific execution method of the equipment operation analysis module is as follows:

[0018] Obtain the relative spatial regions corresponding to each working device in the target factory;

[0019] Based on the relative spatial regions corresponding to each working device in the target factory, an equipment operation experiment model is constructed. By analyzing the operation experiment model, the equipment operation impact set corresponding to the target factory is obtained.

[0020] In the preferred embodiment of this solution, the specific execution method of the integrated management and control module is as follows:

[0021] Based on the equipment operation influence set corresponding to the target factory and the temperature influence set corresponding to the target plant, a sensor deployment analysis model for the target factory is constructed. The sensor deployment analysis model is then used to analyze the data and obtain the deployment control results of the temperature and humidity sensors corresponding to the target factory.

[0022] Compared with the prior art, the beneficial effects of the present invention are:

[0023] This invention comprehensively collects basic information about the factory building and constructs a three-dimensional model through a basic data acquisition module, accurately dividing the spatial areas to provide a solid data foundation for subsequent analysis. The initial experiment module and the equipment operation analysis module conduct detailed experiments under different control conditions from the perspectives of ventilation equipment and working equipment, respectively, to obtain key data such as controllable areas, affected areas, and temperature change curves. Based on the above results, the comprehensive management and control module constructs a sensor deployment analysis model, comprehensively considering the correspondence between ventilation equipment and working equipment and the overlap of areas, to scientifically and rationally determine the deployment locations of temperature and humidity sensors, which helps to achieve accurate monitoring and effective control of factory temperature and humidity.

[0024] This invention achieves precise environmental modeling by constructing a three-dimensional spatial model and a multi-dimensional database. It employs a phased experimental verification system (single device / combined device / full system) to scientifically quantify the spatial relationship between the ventilation control domain and the equipment's influence domain. It innovatively utilizes data point cloud matching technology to establish temperature gradient fields and distance attenuation curves. Combined with equipment thermal effect analysis and regional overlap rate algorithms, it enables intelligent and differentiated deployment of temperature and humidity sensors. Its core advantage lies in the deep integration of physical space modeling, dynamic experimental verification, and data-driven decision-making. Standardized experimental procedures ensure the repeatability of results, and the spatial mapping relationship between equipment and ventilation openings optimizes sensor deployment density, significantly improving temperature control accuracy while reducing maintenance costs. This forms a complete closed loop from data acquisition and experimental verification to intelligent control, providing a scientifically sound and engineeringly practical environmental monitoring solution for constant-temperature plants.

[0025] This technical solution offers an innovative solution to two core pain points in traditional constant-temperature factory environmental control: insufficient regulation of spatial heterogeneity and lag in dynamic load response. Through 3D spatial modeling and multi-dimensional data acquisition, the system overcomes the limitations of traditional planar layouts, accurately mapping the spatial distribution of equipment, ventilation openings, and heat sources, thus resolving the problem of localized temperature runaway caused by dense equipment arrangement. The initial experimental module employs a hierarchical verification strategy (single device / combined device / entire system) to quantify the control boundaries and temperature decay patterns of ventilation equipment under different operating conditions, effectively addressing airflow interference issues during multi-device collaborative operation. The equipment operation analysis module focuses on the thermal effects of the production equipment itself, revealing the spatial propagation characteristics of heat generation through power-temperature field modeling, overcoming the shortcomings of traditional systems that only focus on external cooling while neglecting internal heat sources. This "two-way traceability" analysis method enables the system to simultaneously optimize cooling strategies and equipment layout, significantly improving temperature control accuracy and stability.

[0026] This innovative solution transforms experimental data into a basis for sensor deployment decisions, resolving the long-standing industry dilemma of "monitoring blind spots" and "over-deployment." By constructing a spatial overlay model of the ventilation control domain and the equipment influence domain, the system can intelligently identify areas with high overlap (i.e., critical areas with dense equipment and weak ventilation), guiding differentiated sensor deployment: denser deployment in heat-sensitive areas to capture subtle fluctuations, and sparser deployment in stable areas to reduce costs. Experiments have shown that this risk-weighted dynamic deployment method can reduce the number of sensors by more than 30% compared to traditional uniform gridding schemes, while ensuring temperature monitoring coverage in critical areas. Furthermore, the system establishes a temperature-distance change curve library, providing a scientific basis for setting early warning thresholds under different operating conditions, avoiding false alarms or missed alarms caused by empiricism. This technology is not only applicable to the environmental design of new plants but also provides a reusable optimization path for the intelligent transformation of existing facilities, combining engineering practicality with technological foresight. Attached Figure Description

[0027] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0028] Figure 1 is a schematic diagram of module connection according to an embodiment of the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] Please refer to Figure 1. This invention provides a constant temperature and humidity detection system for a factory, which includes a basic data acquisition module, an initial experiment module, an equipment operation analysis module, and a comprehensive management and control module.

[0031] Basic data acquisition module: used to acquire the basic dataset corresponding to the target factory;

[0032] Furthermore, the specific execution method of the basic data acquisition module is as follows:

[0033] A data extraction relationship is established between the data acquisition and initial experiment module and the database. The basic information set corresponding to the target factory stored in the database is extracted. The basic information set includes the area, height, distribution information of working equipment and distribution information of air conditioning equipment corresponding to the target factory. A spatial three-dimensional model of the target factory is established based on the area, height, distribution information of working equipment and distribution information of air conditioning equipment corresponding to the target factory. By extracting information from the spatial three-dimensional model of the target factory, the spatial position coordinates of each working equipment and the spatial position coordinates of each ventilation opening in the target factory are obtained. The spatial position coordinates of the working equipment refer to the spatial position coordinates of the preset geometric center of the working equipment.

[0034] Obtain the size information of each working device in the target factory. The size information includes the average width, average length and average height of each working device in the target factory. Based on the spatial position coordinates of each working device in the target factory and the average width, average length and average height of each working device, divide the space to obtain the relative spatial area corresponding to each working device in the target factory.

[0035] Obtain the operating parameters of each air conditioner in the target factory, including the operating power corresponding to each target operating temperature;

[0036] The planar coordinates and height of each ventilation opening in the target factory are obtained by using the spatial coordinates of each ventilation opening in the target factory.

[0037] Initial Experiment Module: Used to conduct initial experiments based on the basic dataset corresponding to the target factory, and obtain preliminary experimental reference results corresponding to the target factory;

[0038] Furthermore, the specific execution method of the initial experimental module is as follows:

[0039] An initial experimental model for the target factory is constructed based on the basic dataset corresponding to the target factory. An analysis experiment is conducted based on the initial experimental model corresponding to the target factory to obtain preliminary experimental reference results for the target factory.

[0040] It should be noted that the specific analysis method for obtaining the preliminary experimental reference results corresponding to the target factory based on the initial experimental model is as follows:

[0041] Establish a standard experimental environment corresponding to the initial experimental model. The standard experimental environment includes all working equipment in the target factory being turned off and no other heat sources in the target factory.

[0042] Obtain the actual temperature of the target factory;

[0043] Experimental control condition 1: Only one ventilation device is used at a time;

[0044] Let's take a ventilation device as an example:

[0045] Control the air conditioning equipment to operate at different target operating temperatures;

[0046] Let's take one operating power as an example:

[0047] The actual temperature of each spatial location coordinate corresponding to the target factory is obtained by monitoring with a portable temperature sensor. A data point cloud corresponding to the air vent is established based on the spatial location coordinates of the air conditioning equipment and the actual temperature of each spatial location coordinate. The data point cloud corresponding to the air vent is divided according to the same temperature division mode to obtain each sub-data point cloud corresponding to the air vent. The actual temperature of each sub-data point cloud corresponding to the air vent is matched with the actual temperature of the target factory. The mismatched sub-data point clouds are matched with the spatial three-dimensional model corresponding to the target factory to obtain the relative spatial regions of each mismatched sub-data point cloud corresponding to the target operating temperature of the air vent. These are recorded as each controllable region corresponding to the target operating temperature of the air vent. The actual temperature of each controllable region and the straight-line distance between the center of each controllable region and the air vent are obtained. Based on the actual temperature of each controllable region and the straight-line distance between the center of each controllable region and the air vent, a curve of the change between the actual control temperature and the straight-line distance corresponding to the target operating temperature of the air vent is established.

[0048] Statistical analysis was conducted to obtain the controllable zones corresponding to each target operating temperature for each ventilation device;

[0049] Statistically obtain the curves showing the change between the actual control temperature and the linear distance for each ventilation device corresponding to each target operating temperature;

[0050] Experimental control condition 2: Randomly activate different numbers of adjacent ventilation devices and control them to the same target operating temperature;

[0051] The actual temperature of each spatial location coordinate corresponding to the target factory is obtained by monitoring and acquiring the actual temperature of each spatial location coordinate corresponding to the target factory according to the same temperature division pattern. The actual temperature of each temperature region is obtained, and the actual temperature of each temperature region is matched with the actual temperature of the target factory to obtain each controllable area in the target factory and the actual temperature of each controllable area in the target factory.

[0052] The controllable areas and corresponding actual temperatures of each adjacent ventilation outlet combination corresponding to each target operating temperature were statistically obtained.

[0053] Experimental control condition 3: Randomly select all ventilation equipment and control them to the same target operating temperature;

[0054] The actual temperature of each spatial location coordinate corresponding to the target factory is obtained by monitoring and acquiring the actual temperature of each spatial location coordinate corresponding to the target factory according to the same temperature division pattern. The actual temperature of each temperature region is obtained, and the actual temperature of each temperature region is matched with the actual temperature of the target factory to obtain each controllable area in the target factory and the actual temperature of each controllable area in the target factory.

[0055] The controllable range and the corresponding actual temperature for each target operating temperature are obtained through statistics.

[0056] The experimental results under three different control conditions are recorded as the preliminary experimental reference results corresponding to the target plant.

[0057] Equipment operation analysis module: used to analyze each working equipment corresponding to the target plant and obtain the temperature influence set corresponding to the target plant;

[0058] Furthermore, the specific execution method of the equipment operation analysis module is as follows:

[0059] Obtain the relative spatial regions corresponding to each working device in the target factory;

[0060] Based on the relative spatial regions corresponding to each working device in the target factory, an equipment operation experiment model is constructed. By analyzing the operation experiment model, the equipment operation impact set corresponding to the target factory is obtained.

[0061] It should be noted that the specific analysis method for obtaining the equipment operation impact set corresponding to the target factory through running the experimental model is as follows:

[0062] Establish a standard experimental environment corresponding to the running experimental model. The standard experimental environment includes all air conditioning equipment in the target factory being turned off and no other heat sources in the target factory.

[0063] Let's take a single working device as an example.

[0064] Control the working equipment to operate at different power levels;

[0065] Taking one operating power as an example

[0066] The actual temperature of each spatial coordinate corresponding to the target factory is obtained by monitoring with a portable temperature sensor. A data point cloud corresponding to each working device is established based on the relative spatial area and the actual temperature of each spatial coordinate of each working device in the target factory. The data point cloud corresponding to the working device is divided according to the same temperature division mode to obtain each sub-data point cloud corresponding to the working device. The actual temperature of each sub-data point cloud corresponding to the working device is matched with the actual temperature of the target factory. The mismatched sub-data point clouds are matched with the spatial three-dimensional model corresponding to the target factory to obtain the relative spatial area of ​​each mismatched sub-data point cloud corresponding to the working power of the working device. These are recorded as the influence areas of the working device corresponding to the working power. The actual temperature of each influence area and the straight-line distance between the center of each influence area and the working device are obtained. Based on the actual temperature of each influence area and the straight-line distance between the center of each influence area and the working device, the actual control temperature and straight-line distance change curve of the working device corresponding to the working power are established.

[0067] Statistically obtain the affected areas of each working device at each working power level;

[0068] Statistically obtain the actual control temperature and linear distance variation curves for each working device at each working power;

[0069] Experimental control condition 2: Randomly activate different numbers of adjacent working devices and control them to have the same working power;

[0070] The actual temperature of each spatial location coordinate corresponding to the target factory is obtained by monitoring with a portable temperature sensor. The actual temperature of each spatial location coordinate corresponding to the target factory is divided according to the same temperature division pattern to obtain each temperature zone corresponding to the target factory. The actual temperature corresponding to each temperature zone is obtained. The actual temperature corresponding to each temperature zone is matched with the actual temperature of the target factory to obtain each influencing area in the target factory and the actual temperature corresponding to each influencing area in the target factory.

[0071] The statistical analysis yielded the affected areas and corresponding actual temperatures for each working power of each adjacent combination of working equipment.

[0072] Experimental control condition 3: All working equipment, and controlled to operate at the same power.

[0073] The actual temperature of each spatial location coordinate corresponding to the target factory is obtained by monitoring with a portable temperature sensor. The actual temperature of each spatial location coordinate corresponding to the target factory is divided according to the same temperature division pattern to obtain each temperature zone corresponding to the target factory. The actual temperature corresponding to each temperature zone is obtained. The actual temperature corresponding to each temperature zone is matched with the actual temperature of the target factory to obtain each influencing area in the target factory and the actual temperature corresponding to each influencing area in the target factory.

[0074] The statistical analysis yielded the affected regions and corresponding actual temperatures for each operating power level.

[0075] The experimental results under three different control conditions are recorded as the preliminary experimental reference results corresponding to the target plant.

[0076] Integrated Management and Control Module: This module is used to perform comprehensive analysis based on the preliminary experimental reference results and the temperature influence set corresponding to the target plant, and to obtain the deployment control results of the temperature and humidity sensors corresponding to the target plant.

[0077] Integrated Management and Control Module: This module is used to perform comprehensive analysis based on the preliminary experimental reference results and the temperature influence set corresponding to the target plant, and to obtain the deployment control results of the temperature and humidity sensors corresponding to the target plant.

[0078] Furthermore, a sensor deployment analysis model for the target factory is constructed based on the equipment operation influence set and the temperature influence set for the target factory building. The sensor deployment analysis model is then used to analyze the data and obtain the deployment control results of the temperature and humidity sensors for the target factory.

[0079] It should be noted that the specific analysis method for the deployment and control results of the temperature and humidity sensors in the target factory is as follows:

[0080] Example of a single switching device corresponding to a single working device;

[0081] Obtain the controllable areas corresponding to each target operating temperature for each individual ventilation and distribution equipment in the target factory. Match each controllable area with the relative spatial area corresponding to each working equipment in the target factory to obtain each working equipment in each overlapping controllable area. Statistically obtain each working equipment in each controllable area corresponding to each target operating temperature for each ventilation equipment. Match each working equipment in each controllable area of ​​each target operating temperature. If a working equipment exists in the controllable area of ​​each target operating temperature, then the working equipment is recorded as the corresponding ventilation control working equipment of the ventilation equipment.

[0082] Examples of combinations of distribution and switching equipment corresponding to individual working equipment;

[0083] Obtain the controllable areas corresponding to each target operating temperature of the ventilation and distribution equipment combination in the target factory. Match each controllable area with the relative spatial area corresponding to each working equipment in the target factory to obtain each working equipment in each overlapping controllable area. Statistically obtain each working equipment in each controllable area of ​​each target operating temperature corresponding to each ventilation and distribution equipment combination. Match each working equipment in each controllable area of ​​each target operating temperature. If a working equipment exists in the controllable area of ​​each target operating temperature, then the working equipment is recorded as the corresponding ventilation control working equipment of the ventilation and distribution equipment combination.

[0084] The correspondence between the distribution equipment and the working equipment is obtained by combining the corresponding ventilation control working equipment of the distribution equipment and the corresponding ventilation control working equipment of the ventilation equipment.

[0085] The working equipment combination corresponding to the general and distribution equipment combination; (there is a corresponding relationship between the general and distribution equipment combination and the working equipment combination).

[0086] Obtain the controllable regions corresponding to each target operating temperature for each combination of distribution equipment in the target factory, and obtain the influence regions corresponding to each operating power for each adjacent combination of operating equipment. Match the influence regions and controllable regions of the distribution equipment combination and the operating equipment combination at different target operating temperatures and operating powers, and calculate the regional overlap rate of each preset unit region in the target factory corresponding to the distribution equipment combination and the operating equipment combination.

[0087] The analysis results of each combination of distribution equipment and working equipment are statistically analyzed to obtain the number of regional overlaps and the total proportion of regional overlap for each pre-set unit area in the target factory.

[0088] The number of temperature and humidity sensors corresponding to the target factory is installed according to the number of times each unit area overlaps and the total overlap ratio in the target factory, and the deployment control results of the temperature and humidity sensors corresponding to the target factory are obtained.

[0089] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A temperature and humidity detection system for a constant temperature factory, characterized in that: include: The basic data acquisition module is used to acquire the basic dataset corresponding to the target factory building. The initial experiment module is used to conduct initial experiments based on the basic dataset corresponding to the target factory building, obtaining preliminary experimental reference results. It establishes the data extraction relationship between the data acquisition and initial experiment modules and the database, extracting the basic information set corresponding to the target factory stored in the database. This basic information set includes the area, height, work equipment distribution information, and air conditioning equipment distribution information of the target factory. Based on the area, height, work equipment distribution information, and air conditioning equipment distribution information of the target factory, a spatial three-dimensional model of the target factory is established. Information is extracted from the spatial three-dimensional model of the target factory to obtain the spatial coordinates of each work piece of equipment in the target factory. The spatial coordinates of each ventilation opening in the target factory are obtained, where the spatial coordinates of the working equipment refer to the spatial coordinates of the working equipment corresponding to the preset geometric center; the dimensional information of each working equipment in the target factory is obtained, including the average width, average length, and average height of each working equipment in the target factory; the space is divided according to the spatial coordinates of each working equipment and the average width, average length, and average height of each working equipment to obtain the relative spatial area corresponding to each working equipment in the target factory; the operating parameters of each air conditioner in the target factory are obtained, including the operating power corresponding to each target operating temperature; the planar coordinates and height of each ventilation opening in the target factory are obtained through the spatial coordinates of each ventilation opening in the target factory. Equipment operation analysis module: used to analyze each working equipment corresponding to the target plant to obtain the temperature influence set corresponding to the target plant; Comprehensive management and control module: used to perform comprehensive analysis based on the preliminary experimental reference results and the temperature influence set corresponding to the target plant to obtain the deployment control results of the temperature and humidity sensors corresponding to the target plant.

2. The constant temperature and humidity detection system for a factory as described in claim 1, characterized in that: The specific execution method of the data acquisition and initial experiment module is as follows: construct the initial experimental model corresponding to the target factory based on the basic dataset corresponding to the target factory, conduct analysis experiments based on the initial experimental model corresponding to the target factory, and obtain the preliminary experimental reference results corresponding to the target factory.

3. The constant temperature and humidity detection system for a factory building according to claim 1, characterized in that: The specific execution method of the equipment operation analysis module is as follows: obtain the relative spatial area corresponding to each working equipment in the target factory; construct an equipment operation experiment model based on the relative spatial area corresponding to each working equipment in the target factory; analyze the operation experiment model to obtain the equipment operation impact set corresponding to the target factory.

4. The constant temperature and humidity detection system for a factory building according to claim 3, characterized in that: The specific execution method of the integrated management and control module is as follows: construct the sensor deployment analysis model corresponding to the target factory based on the equipment operation influence set corresponding to the target factory and the temperature influence set corresponding to the target factory building, and analyze it through the preset sensor deployment analysis model to obtain the deployment control results of the temperature and humidity sensors corresponding to the target factory.

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