Information technology service system based on Internet of Things

Abstract

The invention relates to the technical field of the Internet of Things, and discloses an information technology service system based on the Internet of Things. According to the information technology service system based on the Internet of Things, temperature, humidity, wind speed, air pressure, current and voltage data of equipment are collected in real time, the fluctuation ratio of the temperature and humidity, the average current and voltage, the air pressure change rate and the wind speed average value are calculated through the data processing unit, and a comprehensive state index is generated; the omnibearing monitoring and analysis capability enables a user to timely grasp the operation state of the equipment, identify potential faults in advance, rapidly send out abnormal signals through the information early warning unit, mark specific fault positions, improve the response speed and the processing efficiency, and meanwhile, improve the user experience by means of a friendly user interface. According to the technical scheme of the invention, a user can visually know the state and abnormal information of the equipment, thereby greatly reducing the downtime caused by faults, improving the working efficiency and reliability of the Internet of Things equipment, and promoting the wide application and digital transformation of the Internet of Things technology in various industries.

Description

Technical Field

[0001] The present invention relates to the technical field of the Internet of Things, and specifically to an information technology service system based on the Internet of Things. Background Art

[0002] With the rapid development of Internet of Things technology, more and more intelligent devices are widely used in various industries. These Internet of Things devices can, through sensors and data acquisition modules, monitor various environmental and operating parameters in real time. The collected data can not only provide a basis for the daily operation and maintenance of the devices, but also, through advanced data processing technologies, realize intelligent analysis and prediction of the device performance, thereby improving the usage efficiency of the devices and extending their service life. In addition, by means of information warning, users can timely obtain information on changes in the operating status of the devices, effectively reduce the failure downtime, and improve the reliability and security of the overall operation.

[0003] Traditional monitoring of Internet of Things devices often relies on manual inspections and passive responses, and cannot achieve real-time dynamic monitoring and rapid response, resulting in the problem that Internet of Things devices cannot be repaired in time when faults occur, reducing the working efficiency of Internet of Things devices. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides an information technology service system based on the Internet of Things, which has the ability to collect key data such as temperature, humidity, wind speed, air pressure, current, and voltage of devices in real time, and calculate the volatility of temperature and humidity, average current and voltage, air pressure change rate, and average wind speed through a data processing unit to generate a comprehensive status index. This all-round monitoring and analysis ability enables users to timely master the operating status of devices, identify potential faults in advance, and quickly send out abnormal signals through an information warning unit to indicate the specific fault location, improving the response speed and processing efficiency. At the same time, with the help of a friendly user interface, users can intuitively understand the device status and abnormal information, greatly reducing the downtime caused by faults, improving the working efficiency and reliability of Internet of Things devices, and promoting the wide application and digital transformation of Internet of Things technology in various industries, thus solving the above problems.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solution: An information technology service system based on the Internet of Things, including an Internet of Things device data acquisition unit, an Internet of Things device data processing unit, an information warning unit, and a user interface unit;

[0008] The IoT device data acquisition unit is used to collect the operating temperature data, environmental humidity data, environmental wind speed data, environmental air pressure data, operating current data, and operating voltage data of the IoT device, and transmit them to the IoT device data processing unit through NB-IoT technology;

[0009] The IoT device data processing unit calculates the temperature volatility rate, humidity volatility rate, average operating current, average operating voltage, environmental air pressure change rate, and average environmental wind speed of the IoT device based on the data transmitted by the IoT device data acquisition unit, and calculates the comprehensive status index of the IoT device after normalization and transmits it to the information warning unit;

[0010] The information warning unit performs threshold analysis based on the comprehensive status index of the IoT device, identifies the abnormal problems of the IoT device, and generates an abnormal signal Wyxh of the IoT device and sends it to the user interface unit;

[0011] The user interface unit displays the abnormal signal Wyxh of the IoT device on the liquid crystal interface and marks the specific abnormal position for self-checking of the abnormal information of the IoT device.

[0012] Preferably, the calculation formula of the temperature volatility rate of the IoT device is as follows:

[0013]

[0014] In the formula, Vd t represents the temperature volatility rate of the IoT device, Tm i represents the i-th temperature data point, n represents the total number of temperature data points, i represents the position of the temperature data point, represents the arithmetic mean of all collected data, which is used to represent the typical temperature level during this period, represents the sum of the squared deviations of all temperature data points. The larger the sum of the squared deviations, the higher the degree of dispersion of the temperature data. n - 1 represents the degrees of freedom, which is used to obtain a better unbiased estimate in the calculation of the sample standard deviation.

[0015] Preferably, the calculation formula of the humidity volatility rate of the IoT device is as follows:

[0016]

[0017] In the formula, VH k represents the humidity volatility rate of the IoT device, n represents the total amount of collected humidity data points, Hp i represents the humidity value of the i-th humidity data point, represents the squared deviation of each humidity data point from the average value, It represents the sum of the squares of the deviations of all humidity data. n - 1 represents the degrees of freedom, which is used for the unbiased estimation of volatility. i represents the position of the humidity data point.

[0018] Preferably, the calculation formula for the average operating current of the IoT device is as follows:

[0019]

[0020] In the formula, Pklx represents the average operating current of the IoT device, n represents the number of samples of the recorded current sampling points, and Dplx i represents the i-th current value, represents the sum of all current data from i = 1 to n, obtaining the total sum of all current readings, and then dividing by the number of samples n to get the average operating current. i represents the number of humidity data points.

[0021] Preferably, the calculation formula for the average operating voltage of the IoT device is as follows:

[0022]

[0023] In the formula, Yxpd represents the average operating voltage of the IoT device, n represents the number of samples of the recorded voltage sampling points, i represents the position of the voltage data point, and Kxcp i represents the i-th voltage value, represents the sum of all voltage data from i = 1 to n, obtaining the total sum of all voltage readings, and then dividing by the number of samples n to get the average operating voltage.

[0024] Preferably, the formula for the ambient air pressure change rate of the IoT device is as follows:

[0025]

[0026] In the formula, Hqby represents the ambient air pressure change rate of the IoT device, and P end represents the air pressure value at the end of the monitoring period.

[0027] Preferably, the calculation formula for the average ambient wind speed of the IoT device is as follows:

[0028]

[0029] In the formula, Fpsj represents the average ambient wind speed of the IoT device, k represents the total number of wind speed data points collected during this time period, l represents the counting subscript, and Hszk l represents the l-th wind speed value, represents the sum of all wind speed data from l = 1 to k, obtaining the total sum of all wind speed readings, and then dividing by the number of samples l to get the average ambient wind speed.

[0030] Preferably, the formula for numerical normalization is as follows:

[0031]

[0032] In the formula, Gy represents the normalized value, Pt represents the data parameter to be normalized, Pt min represents the minimum data parameter to be normalized, Pt max represents the maximum data parameter to be normalized.

[0033] Preferably, the calculation formula for the comprehensive state index of the Internet of Things device is as follows:

[0034] CSI = w 1 *(1 - N t ) + w 2 *(1 - N l ) + w 3 *(1 - N b ) + w 4 *(1 - N k ) + w 5 *(1 - N d ) + w 6 *(1 - N n )

[0035] In the formula, CSI represents the comprehensive state index of the Internet of Things device, w 1 , w 2 , w 3 , w 4 , w 5 , w 6 represent the weights of each state index, N t represents the normalized humidity volatility of the Internet of Things device, N l represents the normalized humidity volatility of the Internet of Things device, N b represents the normalized average operating current of the Internet of Things device, N k represents the normalized average operating voltage of the Internet of Things device, N d represents the normalized environmental air pressure change rate of the Internet of Things device, N n represents the normalized average environmental wind speed of the Internet of Things device.

[0036] Preferably, the calculation formula for the weight coefficient is as follows:

[0037]

[0038] In the formula, w i represents the weight coefficient, E i represents the preliminary importance evaluation value of the i-th factor, n represents the total number of influencing factors, Denote the cumulative sum of the initial weight values E for all factors. Summing from j = 1 to n means summing over all evaluation factors. j

[0039] Compared with the prior art, the present invention provides an information technology service system based on the Internet of Things, having the following beneficial effects:

[0040] The present invention collects key data such as temperature, humidity, wind speed, air pressure, current, and voltage of devices in real time, and calculates the volatility of temperature and humidity, average current and voltage, air pressure change rate, and average wind speed through a data processing unit to generate a comprehensive status index. This all-round monitoring and analysis ability enables users to promptly grasp the operating status of devices, identify potential faults in advance, and quickly send out abnormal signals through an information warning unit to indicate the specific fault location, improving the response speed and processing efficiency. At the same time, with the help of a friendly user interface, users can intuitively understand the device status and abnormal information, greatly reducing the downtime caused by faults, enhancing the working efficiency and reliability of Internet of Things devices, and promoting the wide application and digital transformation of Internet of Things technology in various industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0043] Aiming at the problem that the monitoring of traditional Internet of Things devices often relies on manual inspections and passive responses, and cannot achieve real-time dynamic monitoring and rapid response, resulting in the inability to promptly repair faults of Internet of Things devices and reducing the working efficiency of Internet of Things devices, an information technology service system based on the Internet of Things is proposed. Please refer to Figure 1 , the system includes an Internet of Things device data collection unit, an Internet of Things device data processing unit, an information warning unit, and a user interface unit;

[0044] As an important part of the entire system, the IoT device data acquisition unit uses advanced sensor technology to achieve efficient and accurate monitoring of various operating parameters of IoT devices. This unit is equipped with multiple sensors, including the temperature sensor DS18B20 for real-time acquisition of the operating temperature data of the device, the humidity sensor HTU21D for monitoring the environmental humidity, the wind speed sensor vane anemometer for obtaining the environmental wind speed, the barometric pressure sensor BMP180 for measuring the environmental barometric pressure, the current sensor ACS712 for real-time monitoring of the operating current of the device, and the voltage sensor ZMPT101B for collecting the operating voltage data. These sensors are carefully selected and configured to ensure high reliability and accuracy under different environmental conditions. In terms of data transmission, the system adopts the NB-IoT (Narrow Band Internet of Things) technology, which is a low-power wide-area network communication technology based on cellular networks and has the advantages of wide coverage, low power consumption, low cost, and high connection density. Through the NB-IoT technology, the collected data can be transmitted to the IoT device data processing unit in an efficient and stable manner, ensuring the real-time and reliability of data transmission. In addition, the wide coverage ability of NB-IoT enables the system to maintain a stable connection in various complex environments, greatly enhancing the application scope of IoT devices and providing a solid data foundation for subsequent data processing and analysis;

[0045] Based on the data transmitted by the IoT device data acquisition unit, the IoT device data processing unit calculates the temperature volatility of the IoT device, the humidity volatility of the IoT device, the average operating current of the IoT device, the average operating voltage of the IoT device, the environmental barometric pressure change rate of the IoT device, and the average environmental wind speed of the IoT device, and calculates the comprehensive state index of the IoT device after normalization according to the obtained values. Among them:

[0046] The calculation formula for the temperature volatility of the IoT device is as follows:

[0047]

[0048] Monitoring the volatility of the temperature of the IoT device helps to evaluate the thermal stability of the device. Excessive temperature fluctuations may indicate potential faults in the device or an unsuitable environment. In the formula, Vd t represents the temperature volatility of the IoT device, Tm i represents the i-th temperature data point, n represents the total number of temperature data points, and i represents the position of the temperature data point. represents the arithmetic mean of all the collected data and is used to represent the typical temperature level during this period. It represents the sum of the squared deviations of all temperature data points. The larger the sum of squared deviations, the higher the degree of dispersion of the temperature data. n - 1 represents the degrees of freedom. To obtain a better unbiased estimate in the calculation of the sample standard deviation, by analyzing the temperature fluctuations, measures can be taken in a timely manner, such as equipment maintenance or optimizing the cooling system, thereby improving the safety and working efficiency of the equipment;

[0049] The calculation formula for the humidity volatility rate of the IoT device is as follows:

[0050]

[0051] The volatility rate of humidity has a significant impact on the performance and lifespan of the device. Especially in some sensitive IoT devices, by monitoring the humidity fluctuations, it is possible to effectively prevent the device from corroding due to moisture or experiencing electrical failures. At the same time, dehumidification measures can be taken when necessary to keep the environment suitable for the normal operation of the device. In the formula, VH k represents the humidity volatility rate of the IoT device, n represents the total number of humidity data points collected, and Hp i represents the humidity value of the i-th humidity data point. represents the squared deviation of each humidity data point from the average value. represents the sum of the squared deviations of all humidity data, n - 1 represents the degrees of freedom for the unbiased estimation of the volatility rate, and i represents the position of the humidity data point;

[0052] The calculation formula for the average operating current of the IoT device is as follows:

[0053]

[0054] Evaluating the average operating current can reflect the load condition and energy consumption change of the device. If the current increases abnormally, it may mean that the device is overloaded or there is a fault. Detecting these problems in a timely manner can not only reduce the maintenance cost but also improve the overall energy efficiency of the device and reduce power consumption. In the formula, Pklx represents the average operating current of the IoT device, n represents the number of current sampling point samples recorded, and Dplx i represents the i-th current value. represents the accumulation of all current data from i = 1 to n to obtain the sum of all current readings, and then dividing by the sample number n to get the average operating current. i represents the number of humidity data points;

[0055] The calculation formula for the average operating voltage of the IoT device is as follows:

[0056]

[0057] Monitoring the average operating voltage helps ensure that the device operates within a safe voltage range, preventing device damage caused by abnormal voltages. Through voltage monitoring, it is possible to evaluate the power quality and take protective measures when the voltage is unstable to ensure the normal operation of the device. In the formula, Yxpd represents the average operating voltage of the IoT device, n represents the number of voltage sampling point samples recorded, i represents the position of the voltage data point, and Kxcp i represents the i-th voltage value. It means to accumulate all the voltage data from i = 1 to n, obtain the sum of all voltage readings, and then divide by the sample number n to get the average operating voltage;

[0058] The formula for the rate of change of the ambient air pressure of the IoT device is as follows:

[0059]

[0060] The change in ambient air pressure has a direct impact on the performance of many devices, especially in fields such as aviation and meteorological monitoring. Monitoring the rate of change of air pressure can help users understand the impact of environmental factors on the device operation and make corresponding adjustments to ensure the device works in the best environment. In the formula, Hqby represents the rate of change of the ambient air pressure of the IoT device, and P end represents the air pressure value at the end of the monitoring period;

[0061] The formula for calculating the average value of the ambient wind speed of the IoT device is as follows:

[0062]

[0063] The average value of the wind speed is crucial for evaluating the heat exchange efficiency, heat dissipation, and operating stability of the device in the environment. By obtaining wind speed data in a timely manner, users can optimize the device location and the design of the surrounding environment, improve the device efficiency, and extend the service life. In the formula, Fpsj represents the average value of the ambient wind speed of the IoT device, k represents the total number of wind speed data points collected during this time period, l represents the counting subscript, and Hszk l represents the l-th wind speed value. It means to accumulate all the wind speed data from l = 1 to k, obtain the sum of all wind speed readings, and then divide by the sample number l to get the average value of the ambient wind speed;

[0064] The formula for numerical normalization is as follows:

[0065]

[0066] Normalization converts data with different dimensions (such as temperature, humidity, current, etc.) into dimensionless numerical values, enabling different types of indicators to be compared on the same scale. This is a prerequisite for multivariate analysis and helps eliminate misleading caused by unit differences. In the formula, Gy represents the normalized value, Pt represents the data parameter to be normalized, Pt min represents the minimum data parameter to be normalized, Pt max represents the maximum data parameter to be normalized. Through normalization, all data is converted to the same range (usually between 0 and 1), ensuring that when the model uses this data for calculations, it will not ignore the importance of other features due to the large numerical range of some features. This is particularly important in machine learning and data analysis;

[0067] The calculation formula for the comprehensive status index of IoT devices is as follows:

[0068] CSI = w 1 *(1 - N t ) + w 2 *(1 - N l ) + w 3 *(1 - N b ) + w 4 *(1 - N k ) + w 5 *(1 - N d ) + w 6 *(1 - N n )

[0069] After normalizing each parameter and then calculating the comprehensive status index, parameters with different units and magnitudes can be integrated into a relative evaluation value. This comprehensive index can provide users with an intuitive assessment of the device's health status, facilitating the rapid identification of potential problems and the formulation of corresponding maintenance plans. In the formula, CSI represents the comprehensive status index of IoT devices, w 1 、w 2 、w 3 、w 4 、w 5 、w 6 represent the weights of each status indicator, N t represents the normalized humidity volatility of the IoT device, N l represents the normalized humidity volatility of the IoT device, N b represents the normalized average operating current of the IoT device, N k represents the normalized average operating voltage of the IoT device, N d represents the normalized environmental air pressure change rate of the IoT device, N n represents the normalized average environmental wind speed of the IoT device;

[0070] The calculation formula for the weight coefficient is as follows:

[0071]

[0072] The weight coefficient can effectively represent the importance of each index or feature in the overall evaluation. By assigning different weights to different indexes, the key factors with greater influence on the decision result can be highlighted, making the analysis more targeted. In the formula, w i represents the weight coefficient, and E i represents the preliminary importance evaluation value of the i-th factor, and n represents the total number of influencing factors. represents the accumulation of the preliminary weight values E of all factors j from j = 1 to n refers to the summation of all evaluation factors. In multi-index decision-making, the calculation of the weight coefficient helps to comprehensively consider the influence of various indexes, thereby improving the accuracy of the overall decision-making. Through weight assignment, according to actual needs and priorities, the influence of each dimension can be better balanced;

[0073] The information warning unit is responsible for monitoring and analyzing the comprehensive status index of the IoT device. This index is calculated based on multiple operating parameters (temperature, humidity, current, voltage, air pressure, wind speed, etc.) and is generated by using a suitable weighted algorithm and normalization technology. When performing threshold analysis, the system will evaluate the comprehensive status index according to the preset standard numerical range. Once the index falls within the warning or abnormal state range, the system will identify potential device problems and generate the IoT device abnormal signal Wyxh. These signals are sent to the user interface unit through the standardized communication protocol MQTT, where:

[0074] The range of the comprehensive status index is as follows:

[0075] 0.75 ≤ CSI ≤ 1.00 is the normal state;

[0076] 0.50 ≤ CSI < 0.75 is the warning state;

[0077] 0.00 ≤ CSI < 0.50 is the abnormal state;

[0078] In the warning state and abnormal state, the information warning unit will generate the IoT device abnormal signal Wyxh;

[0079] The user interface unit will display the IoT device abnormal signal Wyxh on the liquid crystal interface and mark the specific abnormal location for self-checking the abnormal information of the IoT device.

[0080] Example 1:

[0081] In this experiment, in order to verify the state of the IoT device, the values calculated for the relevant data collected by the sensor are normalized as follows:

[0082]

[0083] Using the normalized values, according to the formula assigns weights to the calculation of the comprehensive status index, where:

[0084] w 1 = 0.2, w 2 = 0.2, w 3 = 0.2, w 4 = 0.2, w 5 = 0.1, w 6 = 0.1

[0085] The calculation of the comprehensive status index is as follows:

[0086] CSI = w 1 *(1 - N t ) + w 2 *(1 - N l ) + w 3 *(1 - N b ) + w 4 *(1 - N k ) + w 5 *(1 - N d ) + w 6 *(1 - N n ) = (0.2 × 0.375) + (0.2 × 0.3) + (0.2 × 0.3) + (0.2 × 0.4) + (0.1 × 0.6) + (0.1 × 0.55) = 0.075 + 0.06 + 0.06 + 0.08 + 0.06 + 0.055 = 0.395;

[0087] According to the above calculation, CSI = 0.395 is in the abnormal state of 0.00 ≤ CSI < 0.50, and an abnormal signal is sent at this time;

[0088] Example 2:

[0089] In this experiment, in order to verify the state of the IoT device, the calculated values for the relevant data collected by the sensor are normalized as follows:

[0090]

[0091] Using the normalized values, according to the formula assigns weights to the calculation of the comprehensive status index, where:

[0092] w 1 = 0.2, w 2 = 0.2, w 3 = 0.2, w4 = 0.2, w 5 = 0.1, w 6 = 0.1

[0093] The calculation of the comprehensive status index is as follows:

[0094] CSI = w 1 *(1 - N t ) + w 2 *(1 - N l ) + w 3 *(1 - N b ) + w 4 *(1 - N k ) + w 5 *(1 - N d ) + w 6 *(1 - N n ) = (0.2 × 0.625) + (0.2 × 0.8) + (0.2 × 0.7) + (0.2 × 0.8) + (0.1 × 0.8) + (0.1 × 0.9) = 0.125 + 0.16 + 0.14 + 0.16 + 0.08 + 0.09 = 0.76;

[0095] According to the above calculation, when CSI = 0.76 and is in the normal state of 0.75 ≤ CSI ≤ 1.00, all the IoT devices are in a healthy state at this time.

[0096] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An information technology service system based on the Internet of Things, characterized by: It includes an IoT device data acquisition unit, an IoT device data processing unit, an information warning unit and a user interface unit; The IoT device data acquisition unit is used to collect the operating temperature data, the environmental humidity data, the environmental wind speed data, the environmental air pressure data, the operating current data and the operating voltage data of the IoT device and transmit them to the IoT device data processing unit through the NB-IoT technology; The IoT device data processing unit calculates the IoT device temperature fluctuation rate, the IoT device humidity fluctuation rate, the IoT device average operating current, the IoT device average operating voltage, the IoT device ambient air pressure change rate, and the IoT device ambient wind speed average value based on the data transmitted by the IoT device data acquisition unit, and calculates the IoT device comprehensive status index after normalizing the obtained values ​​and transmits it to the information warning unit; The information warning unit performs threshold analysis according to the comprehensive status index of the IoT device, identifies abnormal problems of the IoT device, and generates an IoT device abnormality signal Wyxh to send to the user interface unit; The user interface unit displays the abnormal signal Wyxh of the IoT device on the liquid crystal interface, and marks the specific abnormal location for self-checking of abnormal information of the IoT device.

2. The information technology service system based on the Internet of Things according to claim 1, characterized in that: The calculation formula of the temperature fluctuation rate of the IoT device is as follows: In the formula, Vd t Indicates the temperature fluctuation rate of IoT devices, Tm i represents the i-th temperature data point, n represents the total number of temperature data points, i represents the position of the temperature data point, It represents the arithmetic mean of all collected data and is used to represent the typical temperature level during this period of time. It represents the sum of squared deviations of all temperature data points. The larger the sum of squared deviations, the higher the dispersion of the temperature data. n-1 represents the degrees of freedom, in order to obtain a better unbiased estimate in the calculation of the sample standard deviation.

3. The information technology service system based on the Internet of Things according to claim 2 is characterized in that: The calculation formula of the humidity fluctuation rate of the IoT device is as follows: In the formula, VH k represents the humidity fluctuation rate of the IoT device, n represents the total number of humidity data points collected, Hp i represents the humidity value of the i-th humidity data point, represents the square of the deviation of each humidity data point from the mean, represents the sum of squared deviations of all humidity data, n-1 represents the degree of freedom, which is used for unbiased estimation of volatility, and i represents the location of the humidity data point.

4. The information technology service system based on the Internet of Things according to claim 3 is characterized in that: The calculation formula of the average operating current of the IoT device is as follows: In the formula, Pklx represents the average operating current of the IoT device, n represents the number of samples recorded at the current sampling point, and Dplx i represents the i-th current value, It means that all current data from i=1 to n are accumulated to obtain the sum of all current readings, and then divided by the number of samples n to obtain the average operating current, where i represents the number of humidity data points.

5. The information technology service system based on the Internet of Things according to claim 4 is characterized in that: The calculation formula for the average operating voltage of the IoT device is as follows: In the formula, Yxpd represents the average operating voltage of the IoT device, n represents the number of voltage sampling points recorded, i represents the location of the voltage data point, and Kxcp ... i represents the i-th voltage value, It means that all voltage data from i=1 to n are accumulated to obtain the sum of all voltage readings, and then divided by the number of samples n to obtain the average operating voltage.

6. The information technology service system based on the Internet of Things according to claim 5, characterized in that: The formula for the rate of change of ambient air pressure of the IoT device is as follows: In the formula, Hqby represents the rate of change of ambient air pressure of IoT devices, P end Indicates the air pressure value at the end of the monitoring period.

7. The information technology service system based on the Internet of Things according to claim 6 is characterized in that: The calculation formula for the average wind speed of the IoT device environment is as follows: In the formula, Fpsj represents the average wind speed of the IoT device environment, k represents the total number of wind speed data points collected during this period, l represents the count subscript, and Hszk l represents the lth wind speed value, It means that all wind speed data from l=1 to k are accumulated to obtain the sum of all wind speed readings, and then divided by the number of samples l to obtain the average ambient wind speed.

8. The information technology service system based on the Internet of Things according to claim 7, characterized in that: The formula for normalizing the numerical values ​​is as follows: In the formula, Gy represents the normalized value, Pt represents the data parameter to be normalized, and Pt min Indicates the minimum data parameter that needs to be normalized, Pt max Indicates the maximum data parameter that needs to be normalized.

9. The information technology service system based on the Internet of Things according to claim 8, characterized in that: The calculation formula of the comprehensive status index of the IoT device is as follows: <h2 style=";text-align:left;direction:ltr">CSI = w1*(1-N<h2 style=";text-align:left;direction:ltr"> t <h2 style=";text-align:left;direction:ltr"> )+w2*(1-N<h2 style=";text-align:left;direction:ltr"> l <h2 style=";text-align:left;direction:ltr"> )+w3*(1-N<h2 style=";text-align:left;direction:ltr"> b <h2 style=";text-align:left;direction:ltr"> )+w4*(1-N<h2 style=";text-align:left;direction:ltr"> k <h2 style=";text-align:left;direction:ltr"> )+w5 <h2 style=";text-align:left;direction:ltr">*(1-N<h2 style=";text-align:left;direction:ltr"> d <h2 style=";text-align:left;direction:ltr"> )+w6*(1-N<h2 style=";text-align:left;direction:ltr"> n <h2 style=";text-align:left;direction:ltr"> ) In the formula, CSI represents the comprehensive status index of IoT devices, w1, w2, w3, w4, w5, and w6 represent the weights of each status index, and N t Represents the normalized humidity fluctuation rate of IoT devices, N l Represents the normalized humidity fluctuation rate of IoT devices, N b Represents the normalized average operating current of the IoT device, N k Represents the normalized average operating voltage of IoT devices, N d Represents the normalized rate of change of ambient air pressure of IoT devices, N n Indicates the normalized average wind speed of the IoT device environment.

10. The information technology service system based on the Internet of Things according to claim 9, characterized in that: The calculation formula of the weight coefficient is as follows: In the formula, w i represents the weight coefficient, E i represents the preliminary importance assessment value of the i-th factor, n represents the total number of influencing factors, Indicates the initial weight value E for all factors j The accumulation of j=1 to n refers to the summation of all evaluation factors.

Images