Multifunctional indoor distribution adjusting system based on 5G Internet of Things

Abstract

The invention relates to the field of distribution adjustment, and discloses a multifunctional indoor distribution adjustment system based on the 5G Internet of Things, which is used for solving the problem that when electronic equipment is placed in a room, the equipment fault risk is increased by using a previous adjustment method, and comprises the following steps: acquiring current indoor environment information, and transmitting the information through the 5G Internet of Things technology, data analysis is carried out on the transmitted indoor environment information, the analysis result is comprehensively evaluated to obtain the affected index, early warning is carried out according to the affected index, related workers are reminded, environment adjustment is carried out according to early warning information, the accuracy of distributed adjustment is effectively improved, the equipment fault risk is reduced, and the service life of equipment is prolonged.

Description

Technical Field

[0001] The present invention relates to the field of distributed regulation, and more specifically to a multifunctional indoor distributed regulation system based on 5G Internet of Things. Background Art

[0002] 5G IoT is a network architecture that combines the fifth generation of mobile communication technology and the IoT. It uses the advantages of 5G such as high speed, low latency, and large connections to connect a large number of IoT devices (such as sensors, smart homes, industrial equipment, etc.) to achieve real-time communication and intelligent control between devices. Through 5G IoT, various devices can transmit and collaborate data more efficiently, safely, and accurately, promoting widespread application in smart cities, smart homes, industrial automation, and other fields.

[0003] The multifunctional indoor distributed conditioning system is an integrated intelligent control system that can monitor indoor environmental factors such as temperature, humidity, air quality, and light through sensors, and automatically adjust corresponding equipment (such as air conditioners, humidifiers, lights, etc.) to optimize the indoor environment. The system can achieve all-round environmental regulation according to preset scenarios or real-time needs, and improve the comfort, health, and energy efficiency of living or office spaces.

[0004] The humidity control in the existing multifunctional indoor distributed control system usually monitors the indoor temperature and humidity levels in real time through the built-in humidity sensor and temperature sensor, and automatically adjusts the temperature or humidity according to the set target value to ensure that the indoor temperature and humidity are always kept within a comfortable and healthy range. However, some electronic devices are placed indoors, and electronic devices have high requirements for the environment. If the existing adjustment method is still used, it will lead to inaccurate control, increase the risk of equipment failure or shorten the service life of the equipment.

[0005] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides a multifunctional indoor distributed adjustment system based on 5G Internet of Things to solve the problems existing in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions: A multifunctional indoor distributed regulation system based on 5G Internet of Things, the system comprising: The environmental information acquisition module is used to obtain the current indoor environmental information and transmit the collected indoor environmental information to the environmental information analysis module through 5G Internet of Things technology; The environmental information analysis module is used to receive the indoor environmental information transmitted by the environmental information acquisition module, perform data analysis on the indoor environmental information, and transmit the analysis results to the impact degree analysis module; The impact degree analysis module is used to receive the analysis results transmitted by the environmental information analysis module and conduct a comprehensive evaluation of the analysis results to obtain the impact index, the calculation formula of which is: , where AD represents the affected index, HY represents the humidity influence coefficient, SE represents the static electricity influence coefficient, and CD represents the condensation influence coefficient. , , It is expressed as the weight coefficient of humidity influence coefficient, static electricity influence coefficient and condensation influence coefficient; The indoor environment early warning module is used to receive the impact index transmitted by the impact degree analysis module, and issue an early warning based on the impact index to remind relevant staff to adjust the environment; The adjustment module is used for performing adjustment according to the affected index.

[0008] Preferably, the step of obtaining the current indoor environment information is: Use temperature sensors to obtain indoor temperature data and surface temperature data of electronic equipment in real time; The indoor space is evenly divided into n areas, recorded as sub-areas, and the humidity data of each sub-area is obtained in real time using a humidity sensor; The humidity data of each sub-area is averaged to obtain the average humidity, which is recorded as the indoor relative humidity.

[0009] Preferably, the step of performing data analysis on the indoor environment information is: Get the humidity data of each sub-area, get the optimal humidity for electronic equipment placement, and calculate the humidity impact of each sub-area based on the humidity data of the sub-area. The calculation formula is: , where HI represents humidity influence, H i Represented as the humidity data of the ith sub-area, H opt Indicates the optimal humidity for electronic equipment placement; The humidity influence of each sub-region is used as a data point, the elbow method is used to determine the optimal clustering number K, the humidity influence of each sub-region is clustered using the K-means clustering method, and the humidity influence coefficient is calculated based on the clustering results; Obtain the static electricity accumulation data in the current room, and calculate the static electricity influence coefficient based on the static electricity accumulation data; The humidity data of each sub-area is averaged to obtain the average humidity, which is recorded as relative humidity. The condensation influence coefficient is calculated based on the indoor air temperature data and relative humidity.

[0010] Preferably, the step of clustering the humidity influence of each sub-region using the K-means clustering method is: Step 1: Set a data set, which includes all data points, and randomly select K data points in the data set as initial clustering centers; Step 2: For each data point, calculate its Euclidean distance to each initial cluster center and assign it to the cluster corresponding to the nearest initial cluster center; Step 3: After traversing all data points, the initial clusters are obtained. For each initial cluster, the mean of the data points in it is calculated to obtain a new cluster center. Step 4: Repeat steps 2 and 3 until the cluster center no longer changes, and obtain the final cluster and the final cluster center.

[0011] Preferably, the step of calculating the humidity influence coefficient according to the clustering result is: The cluster weight is calculated by comparing the number of data points in each final cluster to the total number of data points in the data set. The calculation formula is: , where W j is represented as the cluster weight of the jth cluster, It is represented as the number of data points in the jth cluster, and n is the total number of data points in the data set; The humidity influence coefficient is calculated by taking the weighted sum of the final cluster center and the cluster weight of each final cluster and calculating the average value. The calculation formula is: , where HY is the humidity influence coefficient, JC j Denotes the final cluster center of the jth final cluster, W j It is represented as the cluster weight of the jth cluster, and K is the number of final clustering clusters.

[0012] Preferably, the step of obtaining the static electricity accumulation data in the current room and calculating the static electricity influence coefficient according to the static electricity accumulation data is: Use a capacitance meter to measure the capacitance data of electronic devices; An electrostatic potentiometer is set in each sub-area of ​​the room to monitor the electrostatic voltage of each sub-area in real time, and the average electrostatic voltage of each sub-area is calculated to obtain the average electrostatic voltage, which is recorded as the overall electrostatic voltage. The electrostatic accumulation amount of each sub-area is calculated based on the overall electrostatic voltage. The calculation formula is: , where Q represents the amount of accumulated charge, C is the capacitance of the electronic device, and V is the overall electrostatic voltage; The maximum charge and electrostatic voltage threshold of indoor electronic equipment are obtained, and the electrostatic influence coefficient is calculated. The calculation formula is: , where SE is the electrostatic influence coefficient, Q is the amount of accumulated charge, and Q threshIt is expressed as the maximum charge that the electronic device can bear, V is the overall electrostatic voltage, V thresh It is expressed as the maximum electrostatic voltage threshold that electronic equipment can withstand, and RH is the relative humidity.

[0013] Preferably, the step of calculating the condensation influence coefficient according to the indoor air temperature data and relative humidity is: Get the current indoor temperature and calculate the air dew point temperature. The calculation formula is: , where T d It is expressed as air dew point temperature, T is the current indoor temperature, RH is the relative humidity, , is an empirical constant, and ; Acquiring surface temperature data of the electronic device, comparing the surface temperature data of the electronic device with the dew point temperature, and determining that condensation occurs if the surface temperature data of the electronic device is lower than the dew point temperature; Calculate the temperature difference between the surface temperature data of the electronic equipment and the dew point temperature; The condensation influence coefficient is calculated based on the temperature difference between the surface temperature data of the electronic equipment and the dew point temperature. The calculation formula is: , where CD is the condensation coefficient, It is expressed as the temperature difference between the surface temperature data of the electronic equipment and the dew point temperature, and RH represents relative humidity.

[0014] Preferably, the step of performing early warning according to the impact index is: The impact index is compared with the preset threshold. If the impact index is less than the preset threshold, it is determined that the current indoor environment has little impact on the electronic equipment, and no warning or adjustment is performed; if the impact index is greater than the preset threshold, it is determined that the current indoor environment has a large impact on the electronic equipment, and a warning and adjustment are performed.

[0015] Preferably, the step of adjusting according to the affected index is: The affected index is calculated by comparing it with the preset threshold to obtain the adjustment degree, and the calculation formula is: , where ER represents the degree of regulation, AD represents the affected index, and AD0 represents the preset threshold; Set the initial preset number of processing personnel, and calculate the actual number of processing personnel according to the degree of environmental adjustment. The calculation formula is: , where NUM C It represents the actual number of processing personnel, ER represents the adjustment degree, and NUM0 represents the initial preset number of processing personnel.

[0016] Technical effects and advantages of the present invention: Obtain the current indoor environmental information and transmit the information through 5G Internet of Things technology, perform data analysis on the transmitted indoor environmental information, conduct a comprehensive evaluation of the analysis results to obtain the impact index, issue an early warning based on the impact index, remind relevant staff and adjust the environment based on the early warning information, effectively improving the accuracy of distributed adjustment, reducing the risk of equipment failure, and increasing equipment service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are only examples. The multifunctional indoor distributed adjustment system based on 5G Internet of Things involved in the present invention is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0019] The present invention provides a multifunctional indoor distributed regulation system based on 5G Internet of Things, the system comprising: The environmental information acquisition module is used to obtain the current indoor environmental information and transmit the collected indoor environmental information to the environmental information analysis module through 5G Internet of Things technology; In this embodiment, it should be specifically explained that the step of obtaining the current indoor environment information is: Use temperature sensors to obtain indoor temperature data and surface temperature data of electronic equipment in real time; The indoor space is evenly divided into n areas, recorded as sub-areas, and the humidity data of each sub-area is obtained in real time using a humidity sensor; The humidity data of each sub-area is averaged to obtain the average humidity, which is recorded as the indoor relative humidity.

[0020] The environmental information analysis module is used to receive the indoor environmental information transmitted by the environmental information acquisition module, perform data analysis on the indoor environmental information, and transmit the analysis results to the impact degree analysis module; In this embodiment, it should be specifically explained that the steps of performing data analysis on the indoor environment information are: Get the humidity data of each sub-area, set the optimal humidity for electronic equipment placement, and calculate the humidity impact of each sub-area based on the humidity data of the sub-area. The calculation formula is: , where HI represents humidity influence, H i Represented as the humidity data of the ith sub-area, H optIt represents the optimal placement humidity of the electronic device, which can be obtained from the device manual.

[0021] The humidity influence of each sub-region is used as a data point, the elbow method is used to determine the optimal clustering number K, the humidity influence of each sub-region is clustered using the K-means clustering method, and the humidity influence coefficient is calculated based on the clustering results; The K-means clustering is a commonly used unsupervised learning algorithm for dividing a data set into K different clusters or groups. The basic principle is to assign data points to the nearest cluster center according to the distance between each data point and the K cluster centers in an iterative manner, and then update the position of the cluster center until the clustering results converge. The goal of this method is to minimize the square distance within the cluster, that is, the sum of the distances from each point to the cluster center to which it belongs, to ensure the internal consistency and external differences of each cluster. K-means clustering is suitable for processing large-scale data and is widely used in data analysis, market segmentation, image processing and other fields.

[0022] The humidity conditions of each sub-area may vary greatly. Clustering can better identify and classify these differences, avoid the unified adjustment method for all areas, and reduce unnecessary waste of resources. When dealing with multiple sub-areas, directly analyzing and adjusting the humidity impact of each area one by one may be too complicated, and clustering can simplify the complexity. Through clustering, a large number of sub-areas can be classified into a few categories, simplifying management and reducing workload. As the environment changes, the humidity impact of each sub-area may fluctuate. Through real-time re-clustering, the system can dynamically adjust the adjustment plan of each area to make it more flexible.

[0023] Obtain the static electricity accumulation data in the room, and calculate the static electricity influence coefficient based on the static electricity accumulation data. The static electricity accumulation refers to the accumulation of static electricity charges caused by the generation and retention of charges on the surface of objects due to contact, friction, separation, etc. between objects. Static electricity accumulation will cause the formation of local electric fields, especially in the case of insulators or low ambient humidity, which can easily cause discharge in electronic equipment, circuits or sensitive devices, which may damage the equipment or affect its normal operation. The degree of static electricity accumulation depends on the nature of the material, environmental conditions (such as temperature and humidity), and the frequency and intensity of the contact process; The humidity data of each sub-area is averaged to obtain the average humidity, which is recorded as relative humidity. The condensation influence coefficient is calculated based on the indoor air temperature data and relative humidity.

[0024] In this embodiment, it should be specifically explained that the step of clustering the humidity influence of each sub-region using the K-means clustering method is as follows: Step 1: Set a data set, which includes all data points, and randomly select K data points in the data set as initial clustering centers; Step 2: For each data point, calculate the Euclidean distance to each initial cluster center. The calculation formula is: ,in It is expressed as the Euclidean distance from the i-th data point to the j-th cluster center, and is assigned to the cluster corresponding to the nearest initial cluster center; The Euclidean distance is a standard method for measuring the straight-line distance between two points in space. It determines the actual distance between two points by calculating the square root of the sum of the squares of the coordinate differences of the points on each coordinate axis. For example, in two-dimensional space, the Euclidean distance is the length of the straight line between the two points. It is widely used in data analysis and clustering algorithms to evaluate the similarity or distance between data points.

[0025] Step 3: After traversing all data points, we get the initial clusters. For each initial cluster, we calculate the mean of the data points in it and get the new cluster center. The calculation formula is: ,in Represented as the new cluster center of the jth cluster, C j Represented as the set of all data points contained in the jth cluster, Represented as the number of data points in the jth cluster, HI i is the eigenvalue of the i-th data point of the j-th cluster; Step 4: Repeat steps 2 and 3 until the cluster center no longer changes, and obtain the final cluster and the final cluster center.

[0026] In this embodiment, it should be specifically explained that the step of calculating the humidity influence coefficient according to the clustering result is: The cluster weight is calculated by comparing the number of data points in each final cluster to the total number of data points in the data set. The calculation formula is: , where W j is represented as the cluster weight of the jth cluster, It is represented as the number of data points in the jth cluster, and n is the total number of data points in the data set; The humidity influence coefficient is calculated by taking the weighted sum of the final cluster center and the cluster weight of each final cluster and calculating the average value. The calculation formula is: , where HY is the humidity influence coefficient, JC j Denotes the final cluster center of the jth final cluster, W j It is represented as the cluster weight of the jth cluster, and K is the number of final clustering clusters.

[0027] In this embodiment, it should be specifically explained that the steps of obtaining the static electricity accumulation data in the current room and calculating the static electricity influence coefficient according to the static electricity accumulation data are as follows: Use a capacitance meter to measure the capacitance data of electronic devices. The capacitance meter is an instrument used to measure the capacitance value of capacitors, circuits or electronic devices, and is also commonly called an LCR meter (which can measure inductance, capacitance and resistance). It applies voltage to the capacitor or the object to be measured, and then calculates its capacitance value based on the charging and discharging rate. It is suitable for measuring the capacitance of various electrical devices; An electrostatic potentiometer is set in each sub-area of ​​the room to monitor the electrostatic voltage of each sub-area in real time, and the average electrostatic voltage of each sub-area is calculated to obtain the average electrostatic voltage, which is recorded as the overall electrostatic voltage. The electrostatic accumulation amount of each sub-area is calculated based on the overall electrostatic voltage. The calculation formula is: , where Q represents the amount of accumulated charge, C is the capacitance of the electronic device, and V is the overall electrostatic voltage; The electrostatic potentiometer is an instrument for measuring electrostatic voltage, which can detect the potential difference on the surface of an object. It usually consists of a sensitive probe and a display device. The probe can touch or approach the object to be measured and obtain the voltage value by sensing its electric field. Electrostatic potentiometers are widely used in fields such as electronic manufacturing, laboratory research, and environmental monitoring to help detect and evaluate static electricity accumulation to ensure the normal operation of equipment and the safety of personnel. In indoor environments, electrostatic potentiometers can monitor the electrostatic voltage of each sub-area in real time, helping to identify and manage static electricity risks in a timely manner.

[0028] Obtain the maximum charge and electrostatic voltage threshold that indoor electronic equipment can withstand, and calculate the electrostatic influence coefficient, the calculation formula of which is: , where SE is the electrostatic influence coefficient, Q is the amount of accumulated charge, and Q thresh It is expressed as the maximum charge that the electronic device can withstand, V is the overall electrostatic voltage, V thresh It is expressed as the maximum electrostatic voltage threshold that electronic equipment can withstand, and RH is the relative humidity.

[0029] The maximum charge refers to the maximum value of the electrostatic charge that an electronic device can withstand under normal working conditions. Exceeding this value may cause the device to malfunction, be damaged, or have performance degradation. The electrostatic voltage threshold refers to the highest electrostatic voltage level that a device can withstand. Once this threshold is exceeded, the device may experience electric shock, discharge, or other electrical failures. Both are important indicators for evaluating the anti-static performance of equipment, ensuring that the equipment is not affected by static electricity during operation, thereby maintaining its normal function and extending its service life. Understanding these two parameters is crucial to designing safe and reliable electronic equipment and the environment in which they are used.

[0030] In this embodiment, it should be specifically explained that the step of calculating the condensation influence coefficient according to the indoor air temperature data and relative humidity is: Get the current indoor temperature and calculate the air dew point temperature. The calculation formula is: , where T d It is expressed as air dew point temperature, T is the current indoor temperature, RH is the relative humidity, , is an empirical constant, The dew point temperature refers to the temperature at which water vapor in the air begins to condense into liquid water. When the temperature on the surface of an object is lower than the dew point, water vapor will condense into water droplets on the surface of the object. Obtain the surface temperature data of electronic equipment. The surface temperature of the equipment is usually close to the indoor ambient temperature, but there may be temperature rise or uneven heat dissipation during operation; Compare the surface temperature data of the electronic device with the dew point temperature. If the surface temperature data of the electronic device is lower than the dew point temperature, the water vapor in the air will condense into water on the surface of the device, and it is determined that condensation occurs; Calculate the temperature difference between the surface temperature data of the electronic equipment and the dew point temperature. The greater the temperature difference, the greater the possibility of condensation and the more condensed water; The condensation influence coefficient is calculated based on the temperature difference between the surface temperature data of the electronic equipment and the dew point temperature. The calculation formula is: , where CD is the condensation coefficient, It is expressed as the temperature difference between the surface temperature data of the electronic equipment and the dew point temperature, and RH represents relative humidity.

[0031] The impact degree analysis module is used to receive the analysis results transmitted by the environmental information analysis module and conduct a comprehensive evaluation of the analysis results to obtain the impact index, the calculation formula of which is: , where AD is the affected index, HY is the humidity impact coefficient. The higher the humidity, the more moisture there is in the air. When the electronic components, connectors and circuits of electronic equipment are exposed to a humid environment, the greater the possibility of electrical failure, performance fluctuations, and even equipment damage. Especially in a high humidity environment, electronic equipment may face problems such as poor contact, signal interference, and material aging. Therefore, the impact of increased humidity on the stability and life of the equipment will gradually increase. SE is the electrostatic impact coefficient. When the static level in the environment is high, the sensitive electronic components and circuits inside the equipment are more susceptible to electrostatic discharge (ESD). Electrostatic discharge may cause short circuits in electronic components, data loss, signal distortion, and even permanent damage to certain components. In a high static environment, the reliability and performance of the equipment will be significantly affected, especially for precision instruments and integrated circuits, where electrostatic discharge may also cause irreversible failures. Therefore, the higher the degree of static accumulation, the greater the possibility of equipment problems. CD is the condensation impact coefficient. When condensation forms on the surface or inside the equipment, the electronic components, connectors and circuit boards of the equipment will be exposed to water vapor, which will cause various problems. Condensation may cause short circuits, corrode metal parts, reduce insulation performance, and even damage sensitive components of the equipment. As the condensation effect coefficient increases, more water accumulates, the moisture content inside the device increases, and the probability of unstable performance and frequent failures also increases, especially in places where it is exposed to high humidity environments for a long time or where the temperature changes frequently. Therefore, the more severe the condensation phenomenon is, the more likely the reliability, life and safety of electronic equipment will be threatened. , , It is expressed as the weight coefficient of humidity influence coefficient, static electricity influence coefficient and condensation influence coefficient. , , The specific value is determined by professionals according to the actual situation, and ,For example, , , It can be 0.3, 0.4, 0.3, and transmit the affected index to the indoor environment early warning module; The indoor environment early warning module is used to receive the impact index transmitted by the impact degree analysis module, and issue an early warning based on the impact index to remind relevant staff to adjust the environment; In this embodiment, it should be specifically explained that the steps of performing early warning according to the impact index are: The impact index is compared with the preset threshold. If the impact index is less than the preset threshold, it is determined that the current indoor environment has little impact on the electronic equipment, and no warning or adjustment is performed; if the impact index is greater than the preset threshold, it is determined that the current indoor environment has a greater impact on the electronic equipment, and a warning and adjustment are performed.

[0032] The adjustment module is used for performing adjustment according to the affected index.

[0033] In this embodiment, it should be specifically explained that the step of adjusting according to the affected index is: The affected index is calculated by comparing it with the preset threshold to obtain the adjustment degree, and the calculation formula is: , where ER represents the degree of regulation, AD represents the affected index, and AD0 represents the preset threshold; Calculating the ratio of the affected index to the preset threshold and obtaining the degree of adjustment can help the system make precise adjustments based on actual conditions and ensure that the adjustment intensity matches the demand. When the ratio is much higher than the threshold, the system will quickly increase the adjustment intensity to correct environmental problems in a timely manner to prevent long-term accumulated environmental risks from damaging equipment. The system can dynamically adapt to real-time changes in the environment and flexibly respond to a variety of situations. The system can automatically adjust its strategy based on real-time changes in the ratio to ensure that it is always adjusted in the best way and adapt to fluctuations in various temperature, humidity, static electricity, and power environments. Combined with real-time data from sensors, a closed-loop feedback loop is formed to ensure that the adjustment process can respond quickly to any environmental changes.

[0034] Set the initial preset number of processing personnel, and calculate the actual number of processing personnel according to the degree of environmental adjustment. The calculation formula is: , where NUM C It represents the actual number of processing personnel, ER represents the adjustment degree, and NUM0 represents the initial preset number of processing personnel.

[0035] When the demand for environmental adjustment is small, the calculated actual number of processing personnel will be reduced to avoid unnecessary idle personnel and reduce waste of human resources. When the demand for environmental adjustment is large, the system will calculate and allocate more personnel to ensure sufficient manpower to deal with emergency or complex situations. When the environmental changes are large or the adjustment difficulty is high, the system will promptly increase the number of processing personnel to ensure that environmental problems are quickly resolved. When the demand is small, the number of personnel is adjusted to be reduced, and time and manpower will not be wasted, thereby improving processing efficiency. With the changes in environmental adjustment, the number of processing personnel can be automatically increased or decreased to avoid rigid fixed configurations and adapt to various situations. When encountering sudden or serious environmental problems, the number of processing personnel can be increased in time, and countermeasures can be taken quickly to reduce the impact of the environment on equipment or work areas.

[0036] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0037] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A multifunctional indoor distributed regulation system based on 5G Internet of Things, characterized in that: The system comprises: The environmental information acquisition module is used to obtain the current indoor environmental information and transmit the collected indoor environmental information to the environmental information analysis module through 5G Internet of Things technology; The environmental information analysis module is used to receive the indoor environmental information transmitted by the environmental information acquisition module, perform data analysis on the indoor environmental information, and transmit the analysis results to the impact degree analysis module; The impact degree analysis module is used to receive the analysis results transmitted by the environmental information analysis module and conduct a comprehensive evaluation of the analysis results to obtain the impact index, the calculation formula of which is: , where AD represents the affected index, HY represents the humidity influence coefficient, SE represents the static electricity influence coefficient, and CD represents the condensation influence coefficient. , , It is expressed as the weight coefficient of humidity influence coefficient, static electricity influence coefficient and condensation influence coefficient; The indoor environment early warning module is used to receive the impact index transmitted by the impact degree analysis module, and issue an early warning based on the impact index to remind relevant staff to adjust the environment; The adjustment module is used for performing adjustment according to the affected index.

2. According to claim 1, a multifunctional indoor distributed regulation system based on 5G Internet of Things is characterized by: The steps of obtaining the current indoor environment information are: Use temperature sensors to obtain indoor temperature data and surface temperature data of electronic equipment in real time; The indoor space is evenly divided into n areas, recorded as sub-areas, and the humidity data of each sub-area is obtained in real time using a humidity sensor; The humidity data of each sub-area is averaged to obtain the average humidity, which is recorded as the indoor relative humidity.

3. According to a multifunctional indoor distributed regulation system based on 5G Internet of Things according to claim 1, it is characterized in that: The steps of performing data analysis on indoor environment information are as follows: Get the humidity data of each sub-area, get the optimal humidity for electronic equipment placement, and calculate the humidity impact of each sub-area based on the humidity data of the sub-area. The calculation formula is: , where HI represents humidity influence, H i Represented as the humidity data of the ith sub-area, H opt Indicates the optimal humidity for electronic equipment placement; The humidity influence of each sub-region is used as a data point, the elbow method is used to determine the optimal clustering number K, the humidity influence of each sub-region is clustered using the K-means clustering method, and the humidity influence coefficient is calculated based on the clustering results; Obtain the static electricity accumulation data in the current room, and calculate the static electricity influence coefficient based on the static electricity accumulation data; The humidity data of each sub-area is averaged to obtain the average humidity, which is recorded as relative humidity. The condensation influence coefficient is calculated based on the indoor air temperature data and relative humidity.

4. According to claim 3, a multifunctional indoor distributed regulation system based on 5G Internet of Things is characterized in that: The steps of clustering the humidity influence of each sub-region using the K-means clustering method are as follows: Step 1: Set a data set, which includes all data points, and randomly select K data points in the data set as initial clustering centers; Step 2: For each data point, calculate its Euclidean distance to each initial cluster center and assign it to the cluster corresponding to the nearest initial cluster center; Step 3: After traversing all data points, the initial clusters are obtained. For each initial cluster, the mean of the data points in it is calculated to obtain a new cluster center. Step 4: Repeat steps 2 and 3 until the cluster center no longer changes, and obtain the final cluster and the final cluster center.

5. According to claim 3, a multifunctional indoor distributed regulation system based on 5G Internet of Things is characterized in that: The step of calculating the humidity influence coefficient according to the clustering results is: The cluster weight is calculated by comparing the number of data points in each final cluster to the total number of data points in the data set. The calculation formula is: , where W j Denotes the cluster weight of the jth cluster, It is represented as the number of data points in the jth cluster, and n is the total number of data points in the data set; The humidity influence coefficient is calculated by taking the weighted sum of the final cluster center and the cluster weight of each final cluster and calculating the average value. The calculation formula is: , where HY is the humidity influence coefficient, JC j Denotes the final cluster center of the jth final cluster, W j It is represented as the cluster weight of the jth cluster, and K is the number of final clustering clusters.

6. According to claim 3, a multifunctional indoor distributed regulation system based on 5G Internet of Things is characterized in that: The steps of obtaining the static electricity accumulation data in the current room and calculating the static electricity influence coefficient according to the static electricity accumulation data are as follows: Use a capacitance meter to measure the capacitance data of electronic devices; An electrostatic potentiometer is set in each sub-area of ​​the room to monitor the electrostatic voltage of each sub-area in real time, and the average electrostatic voltage of each sub-area is calculated to obtain the average electrostatic voltage, which is recorded as the overall electrostatic voltage. The electrostatic accumulation amount of each sub-area is calculated based on the overall electrostatic voltage. The calculation formula is: , where Q represents the amount of accumulated charge, C is the capacitance of the electronic device, and V is the overall electrostatic voltage; The maximum charge and electrostatic voltage threshold of indoor electronic equipment are obtained, and the electrostatic influence coefficient is calculated. The calculation formula is: , where SE is the electrostatic influence coefficient, Q is the amount of accumulated charge, and Q thresh It is expressed as the maximum charge that the electronic device can bear, V is the overall electrostatic voltage, V thresh It is expressed as the maximum electrostatic voltage threshold that electronic equipment can withstand, and RH is the relative humidity.

7. According to claim 3, a multifunctional indoor distributed regulation system based on 5G Internet of Things is characterized in that: The steps of calculating the condensation influence coefficient according to the indoor air temperature data and relative humidity are as follows: Get the current indoor temperature and calculate the air dew point temperature. The calculation formula is: , where T d It is expressed as air dew point temperature, T is the current indoor temperature, RH is the relative humidity, , is an empirical constant, and ; Acquiring surface temperature data of the electronic device, comparing the surface temperature data of the electronic device with the dew point temperature, and determining that condensation occurs if the surface temperature data of the electronic device is lower than the dew point temperature; Calculate the temperature difference between the surface temperature data of the electronic equipment and the dew point temperature; The condensation influence coefficient is calculated based on the temperature difference between the surface temperature data of the electronic equipment and the dew point temperature. The calculation formula is: , where CD is the condensation coefficient, It is expressed as the temperature difference between the surface temperature data of the electronic equipment and the dew point temperature, and RH represents relative humidity.

8. According to claim 1, a multifunctional indoor distributed regulation system based on 5G Internet of Things is characterized by: The steps for early warning according to the impact index are: The impact index is compared with the preset threshold. If the impact index is less than the preset threshold, it is determined that the current indoor environment has little impact on the electronic equipment, and no warning or adjustment is performed; if the impact index is greater than the preset threshold, it is determined that the current indoor environment has a large impact on the electronic equipment, and a warning and adjustment are performed.

9. The multifunctional indoor distributed regulation system based on 5G Internet of Things according to claim 1 is characterized in that: The steps of adjusting according to the affected index are: The affected index is calculated by comparing it with the preset threshold to obtain the adjustment degree, and the calculation formula is: , where ER represents the degree of regulation, AD represents the affected index, and AD0 represents the preset threshold; Set the initial preset number of processing personnel, and calculate the actual number of processing personnel according to the degree of environmental adjustment. The calculation formula is: , where NUM C It represents the actual number of processing personnel, ER represents the adjustment degree, and NUM0 represents the initial preset number of processing personnel.

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