Visual data analysis management platform

By designing a visual data analysis management platform and integrating IoT monitoring and data analysis functions, the problem of traditional data analysis methods relying on manual analysis is solved, and the automated management and intelligent analysis of device information is realized, and management efficiency and decision-making accuracy are improved.

CN119961499APending Publication Date: 2025-05-09HEBEI UNIV OF SCI & TECH
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Patent Information

Application Number
CN202411837166.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-13
Publication Date
2025-05-09

AI Technical Summary

Technical Problem

Traditional data analysis methods rely on manual empirical analysis, making it difficult to achieve automated data management and intelligent analysis, resulting in increased labor costs and confusion in data management.

Method used

A visual data analysis management platform is designed to integrate IoT monitoring, data analysis and visual display functions, including platform login unit, IoT monitoring platform, data analysis platform, data acquisition unit, data transmission unit and data storage unit to realize real-time collection, monitoring and management of device information.

Benefits of technology

Through intelligent algorithms, analyze the operating status of the equipment, promptly warn of potential faults, ensure safe and stable equipment operation, improve management efficiency and decision-making accuracy, and support flexible data query and statistical analysis.

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Patent Text Reader

Abstract

The invention discloses a visual data analysis management platform which comprises a platform login unit, a platform portal unit, a visual platform, an Internet of Things monitoring platform, a data analysis platform, a data acquisition unit, a data transmission unit, a data storage unit, an alarm display unit and an intelligent regulation and control unit. And the platform login unit is used for verifying the identity and safely logging in the platform by inputting a correct user name and a correct password, and belongs to the technical field of visual data analysis and management. Through integration of Internet of Things monitoring, data analysis and visual display, the management platform not only realizes comprehensive acquisition, real-time monitoring and efficient management of equipment information, but also accurately analyzes and predicts the operation state of the equipment through an intelligent algorithm, early warns potential faults in time, and ensures safe and stable operation of the monitored equipment. And meanwhile, a visual interface provided by the platform enables a manager to intuitively master equipment operation and data change, so that the management efficiency and the decision accuracy are greatly improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of visual data analysis management, and more specifically discloses a visual data analysis management platform. Background Art

[0002] As IoT technology is changing with each passing day, the collection, storage and analysis of device data has become an indispensable part of enterprise operations. However, traditional data analysis methods often rely on manual experience analysis and judgment of collected information data, making it difficult to achieve automated management and intelligent analysis of data. This not only increases labor costs, but also easily leads to confusion and errors in data management. Summary of the invention

[0003] Purpose of the invention: The purpose of the present invention is to solve the problem that traditional data analysis methods often rely on manual experience analysis and judgment of data when facing collected information data, making it difficult to achieve automatic management and intelligent analysis of data. This not only increases labor costs, but also easily leads to confusion and errors in data management.

[0004] To solve the above technical problems, according to one aspect of the present invention, more specifically, a visual data analysis management platform includes: a platform login unit, a platform portal unit, a visualization platform, an Internet of Things monitoring platform, a data analysis platform, a data acquisition unit, a data transmission unit, a data storage unit, an alarm display unit, and an intelligent control unit; Platform login unit: used to verify identity and securely log in to the platform by entering the correct username and password; Platform portal unit: used to centrally display and manage various services and information; Visualization platform: used to display the number of devices and alarm information; IoT monitoring platform: used to monitor gateway and device information and manage device models; Data acquisition unit: used to collect information data generated during the monitoring process of the equipment in real time; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data analysis platform: used to analyze the collected information data in real time and display the analysis results. At the same time, when the results are abnormal, an alarm is sent to the background terminal and a control signal is sent to the intelligent control unit; Alarm display unit: used to query device alarm data by selecting device name, indicator item, device status, and time range and display it in a list; Intelligent control unit: used to receive the control signal from the data analysis platform, and control the temperature, humidity and voltage during the data analysis and management process of the monitored equipment according to the control signal.

[0005] Furthermore, the data acquisition unit includes: a temperature and humidity acquisition module, a flow rate acquisition module, a heat acquisition module, a size acquisition module, a voltage acquisition module, a current acquisition module, an air content acquisition module, an information volume acquisition module, and a magnetic field acquisition module; Temperature and humidity acquisition module: used to collect temperature and humidity information data inside and outside the monitored equipment box in real time; Flow rate acquisition module: used to collect the air flow rate information data in the monitored equipment box in real time; Heat collection module: used to collect heat information data on the surface of the monitored equipment box in real time; Size collection module: used to collect volume information data of the monitored equipment box in real time; Voltage acquisition module: used to collect voltage information data loaded on the monitored equipment in real time; Current acquisition module: used to collect the current information data input by the monitored equipment in real time; Air content collection module: used to collect information data on sulfide and nitrogen oxide content in the monitored equipment box in real time; Information volume collection module: used to collect the information volume received by the data analysis management platform in real time; Magnetic field acquisition module: used to collect real-time magnetic field strength information data of the external environment of the monitored equipment box.

[0006] Furthermore, the visualization platform includes: a device overview module, a device list module, a real-time alarm statistics module, and an alarm trend module; Device overview module: used to count the total number of detected devices, the number of online, offline, and alarm devices, and use charts to count the online and offline rates, and the proportion of normal and faulty devices; Device list module: used to list all devices under this account. Click on the device to locate it on the map. Real-time alarm statistics module: used to count the number of real-time alarms and display the top 5 equipment alarms; Alarm trend module: used to count alarm trends by year, month and day.

[0007] Furthermore, the Internet of Things monitoring platform includes: a gateway list module, a device information module, a device maintenance module, an appearance model module and a device model module; Gateway list module: used for users to query and manage all gateways in the network by gateway name, tag name or gateway status; Device information module: used to query and manage all monitored devices by device name, tag name, gateway affiliation or device status; Equipment maintenance module: used to retrieve all monitored equipment maintenance records by equipment name, tag name, gateway affiliation or equipment status, and present maintenance details in real time; Appearance model module: used to upload, store, search, download and manage high-quality appearance 3D model resources of devices; Equipment model module: used to upload, store, search, download and manage high-quality structural 3D model resources of equipment.

[0008] Furthermore, the data analysis platform includes: a real-time analysis module, an equipment prediction module, a historical data module, an alarm statistics module, an abnormal alarm module and a signal sending module; Real-time analysis module: used to process and analyze the collected information data and obtain the results of the analysis and judgment. At the same time, the device index items are queried by device name, index item, and analysis type and displayed in a curve chart; Equipment prediction module: used to query the prediction results by equipment name, indicator item, sample data, and prediction time and display them in the form of a curve chart; Historical data module: used to collect historical data by device name, indicator item, time type (day, month, year), time range, and analysis type, and display them in the form of a curve chart, and export the analysis results; Alarm statistics module: used to select device name, indicator item, time type (day, month, year), time range to count device alarm data and display it in a curve chart or columnar form, and export the analysis results; Abnormal alarm module: used to send an alarm to the background terminal when abnormal conditions occur in the results of analysis and judgment by the data analysis platform; Signal sending module: used to send control command signals to the intelligent control unit according to the results of analysis and judgment when abnormal situations occur in the results of analysis and judgment of the data analysis platform.

[0009] Furthermore, the intelligent control unit includes: a signal receiving module, a temperature and humidity control module and an intelligent voltage stabilization module; Signal receiving module: used to receive the control command signal sent by the signal sending module in real time; Temperature and humidity control module: used to automatically control the temperature and humidity inside the monitored equipment box; Intelligent voltage stabilization module: used to automatically regulate the voltage of the electrical energy input to the monitored device.

[0010] Furthermore, the data analysis platform can obtain the temperature and humidity of the internal and external environment of the monitored equipment box, the air flow speed in the monitored equipment box, the heat on the surface of the monitored equipment box, and the volume information data of the monitored equipment box from the data acquisition unit, and obtain the environmental impact index through the analysis of the above acquired data. If: This means that the temperature and humidity in the monitored equipment box are within the appropriate range, and the monitored equipment is running stably. is the environmental impact index, is the total duration of data collection, For the The air flow speed in the equipment box is monitored in seconds. for The maximum air flow rate in the monitored equipment box within a certain period of time. for The minimum air flow rate in the monitored equipment box within a certain time period. for The maximum humidity in the monitored equipment box during the time period, for The minimum humidity in the monitored equipment box within the time period, For the The temperature inside the equipment box is monitored in seconds. for The average temperature of the external environment of the monitored equipment box during the time period. is the heat on the surface of the monitored equipment box. is the specific heat capacity of air, is the volume of the cabinet of the monitored equipment, is the air density, is the preset environmental threshold parameter.

[0011] Furthermore, the data analysis platform can obtain the voltage loaded on the monitored equipment, the current input to the monitored equipment, and the sulfide and nitrogen oxide content information data in the monitored equipment box from the data acquisition unit, and obtain the equipment operation index through the analysis of the above acquired data, if: This means that the power input to the monitored device is stable, where: is the equipment operation index, for The average humidity in the monitored equipment box during the period of time, for The average humidity of the external environment of the monitored equipment box during the period of time. is the total duration of data collection, For the The sulfide content in the equipment box is monitored in seconds. For the Seconds The nitrogen oxide content in the equipment box is monitored in seconds. is the preset standard sulfide content, is the preset standard nitrogen oxide content, For the The actual voltage on the device being monitored. For the The actual current input by the monitored device in seconds, is the resistivity of the wires connecting the monitored equipment. is the total length of the wires connecting the monitored equipment. is the cross-sectional area of ​​the wires connecting the monitored equipment. is the preset rated current of the monitored device, is the preset rated voltage of the monitored device, for The maximum voltage value loaded on the monitored device within the time period. for The maximum current value flowing through the monitored device within a certain period of time.

[0012] Furthermore, the data analysis platform can obtain the amount of information data received by the data analysis management platform and the magnetic field strength information data of the external environment of the monitored equipment box from the data acquisition unit, and obtain the information stability index through the above acquired data analysis, if: This indicates that the information data transmission between the data analysis management platform and the detected equipment is stable. is the information stability index, is the total duration of data collection, For the The amount of information data received by the second data analysis management platform, is the equipment operation index, for The maximum amount of information data received by the data analysis management platform within a certain period of time. for The minimum amount of information data received by the data analysis management platform within a certain period of time. is the environmental impact index, For the The magnetic field strength of the external environment of the monitored equipment box in seconds, for The maximum magnetic field strength of the external environment of the monitored equipment box within a certain period of time. for The minimum magnetic field strength outside the monitored device box within a specified time period.

[0013] The beneficial effects of a visual data analysis management platform of the present invention are as follows: by integrating Internet of Things monitoring, data analysis and visual display, this management platform not only realizes the comprehensive collection, real-time monitoring and efficient management of equipment information, but also accurately analyzes and predicts the equipment operation status through intelligent algorithms, and timely warns of potential faults to ensure the safe and stable operation of the monitored equipment. At the same time, the visual interface provided by the platform enables managers to intuitively grasp the equipment operation and data changes, greatly improving management efficiency and decision-making accuracy. In addition, the platform also supports flexible query, export and statistical analysis of data, meeting the diverse needs of users at different levels for data information, and realizing the deep mining and value maximization of data resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0015] Figure 1 The schematic diagram of the system principle is shown in Figure 2. Figure 2 This is the user login interface diagram; Figure 3 This is the platform portal interface diagram; Figure 4 This is the interface diagram of the visualization platform; Figure 5 This is the gateway list interface diagram; Figure 6 This is a diagram of the device gateway information interface; Figure 7 It is the interface diagram for maintenance record; Figure 8 This is a real-time data interface diagram; Fig. 9 This is the historical data interface diagram; Fig.10 This is the alarm statistics interface diagram; Fig.11 This is the interface diagram of the appearance model; Fig.12 This is the device model interface diagram. DETAILED DESCRIPTION

[0016] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0017] According to one aspect of the present invention, Figure 1-12As shown, a visual data analysis management platform is provided. First, the user enters the correct user name and password through the platform login unit, verifies the identity and logs in to the platform securely, and then enters the platform portal unit, which can centrally display and manage various services and information, making it more convenient and easy to access, thereby enhancing business influence and user experience. It includes: a visualization platform, an Internet of Things monitoring platform, and a data analysis platform.

[0018] Then, you can enter the visualization platform, and through the device overview module, count the total number of detected devices, the number of online, offline, and alarm devices, and use charts to count the online, offline rate, normal, and faulty device ratios of the devices; through the device list module, you can list all the devices under this account, and click on the device to locate and display it on the map; through the real-time alarm statistics module, you can count the number of real-time alarms, and count the top 5 device alarms for display; through the alarm trend module, you can count the alarm trends by year, month, and day. In the middle of the visualization platform display page, you can display the device installation area under the current account, and search for the device location according to the device name. If the device generates an alarm, it will be highlighted on the map, and can be displayed or hidden according to clicking on different types of devices. Click the device label in the map to view the detailed information of the device, including: basic information of the device (device name, device template, gateway, device address, label, device description), indicator information (temperature in the device box, humidity in the device box, current and voltage), and video information.

[0019] Then, you can enter the IoT monitoring platform. The gateway list module allows users to easily query and manage all gateways in the network by gateway name, tag name or gateway status. This module not only displays detailed information of the gateway in real time, such as status, ID, name, number of associated devices, address, and tag, but also provides the functions of adding new gateways, batch deletion, importing and exporting gateway data, which greatly facilitates users to create, maintain and manage gateways. In addition, each gateway entry is equipped with operation functions, such as editing and viewing details; through the device information module, all devices can be easily queried and managed using device name, tag name, gateway affiliation or device status. This module not only displays detailed information of the device in real time, such as status, ID, name, affiliation gateway, device address, tag, device life, start running time, and associated devices, but also provides the functions of adding new devices, batch deletion, importing and exporting device data, which greatly facilitates users to create, maintain and manage devices. In addition, each device entry is equipped with operation functions, such as editing and viewing details. When editing a device, you can configure the corresponding associated models, such as the appearance and internal models, and configure the model location at the same time; through the equipment maintenance module, you can use the device name, tag name, gateway affiliation or device status to easily retrieve all equipment maintenance records, and present maintenance details in real time, covering status, time, name, affiliation gateway, device address, tag, maintenance records, key information of maintenance personnel, new records, batch deletion and modification, data import and export, one-click operation, making the creation, maintenance and data management of equipment maintenance records unprecedentedly convenient; through the appearance model module and the equipment model module, you can upload, store, search, download and manage high-quality appearance and structural 3D model resources of equipment.

[0020] Through the temperature and humidity acquisition module, flow rate acquisition module, heat acquisition module, size acquisition module, voltage acquisition module, current acquisition module, air content acquisition module, information volume acquisition module and magnetic field acquisition module in the data acquisition unit, the temperature and humidity of the internal and external environment of the monitored equipment box, the air flow rate in the equipment box, the heat on the surface of the equipment box, the volume of the equipment box, the voltage loaded on the equipment, the current input to the equipment, the sulfide and nitrogen oxide content in the equipment box, the amount of information data received by the data analysis management platform, and the magnetic field strength information data of the external environment of the monitored equipment box can be collected in real time, and then the information data collected by the data acquisition unit is transmitted in real time through the data transmission unit, the information data transmitted in real time by the data storage unit is stored, and the collected and stored information data is transmitted to the data analysis platform for analysis and judgment.

[0021] After that, you can enter the data analysis platform. Through the real-time analysis module, you can process and analyze the collected information data and obtain the results of the analysis and judgment. At the same time, you can query the equipment index items through the equipment name, index items, and analysis type and display them in a curve chart. It should be noted that the index items include temperature, humidity and power information in the equipment box; through the equipment prediction module, you can use the equipment name, index items, sample data, and prediction time to query the prediction results and display them in the form of a curve chart; through the historical data module, you can use the equipment name, index items, time type (day, month, year), time range, and analysis type (year-on-year, month-on-month) to count historical data and display them in the form of a curve chart, and export the analysis results; through the alarm statistics module, you can use the selected equipment name, index item, time type (day, month, year), time range to count the equipment alarm data and display them in a curve chart or bar chart, and export the analysis results; when the results of the analysis and judgment of the data analysis platform are abnormal, the abnormal alarm module will be triggered to send an alarm prompt to the background terminal; when the results of the analysis and judgment of the data analysis platform are abnormal, the signal sending module will send the control command signal to the intelligent control unit according to the results of the analysis and judgment.

[0022] The data analysis platform can obtain the temperature and humidity of the internal and external environment of the monitored equipment box, the air flow speed in the monitored equipment box, the heat on the surface of the monitored equipment box, and the volume information data of the monitored equipment box from the data acquisition unit, and analyze the above acquired data to obtain the environmental impact index. If: This means that the temperature and humidity in the monitored equipment box are within the appropriate range and the monitored equipment is running stably. This means that the temperature and humidity in the monitored equipment box exceeds the rated range, the operation of the monitored equipment will be affected, and the abnormal alarm module will be triggered to alarm the background terminal. Then the temperature and humidity in the monitored equipment box are regulated by the temperature and humidity control module to ensure that the temperature and humidity in the monitored equipment box are within the appropriate range. The standard temperature range is 30-40℃, and the standard humidity range is 50-60%. is the environmental impact index, is the total duration of data collection, For the The air flow speed in the equipment box is monitored in seconds. for The maximum air flow rate in the monitored equipment box within a certain period of time. for The minimum air flow rate in the monitored equipment box within a certain time period. for The maximum humidity in the monitored equipment box during the time period, for The minimum humidity in the monitored equipment box within the time period, For the The temperature inside the equipment box is monitored in seconds. for The average temperature of the external environment of the monitored equipment box during the time period. is the heat on the surface of the monitored equipment box. is the specific heat capacity of air, is the volume of the cabinet of the monitored equipment, is the air density, is the preset environmental threshold parameter. During the data collection process, During the time, the maximum and minimum humidity in the monitored equipment box are: , , , During the time, the maximum and minimum air flow speeds in the monitored equipment box are: , , The average temperature of the external environment of the monitored equipment box within a certain period of time , , the heat on the surface of the monitored equipment box , the specific heat capacity of air , the volume of the monitored equipment box , air density , preset environmental threshold parameters , therefore, , , it means that the temperature and humidity in the box of the monitored equipment are within the appropriate range and the monitored equipment is running stably.

[0023] The data analysis platform can obtain the voltage loaded on the monitored equipment, the current input to the monitored equipment, and the sulfide and nitrogen oxide content information data in the monitored equipment box from the data acquisition unit, and analyze the above acquired data to obtain the equipment operation index. If: This means that the power input to the monitored device is stable. This means that the power input to the monitored device is unstable, which will trigger the abnormal alarm module to alarm the background terminal. At the same time, the intelligent voltage stabilization module adjusts the voltage of the power input to the monitored device, making the power input to the monitored device more stable, thereby improving the operating efficiency of the monitored device. is the equipment operation index, for The average humidity in the monitored equipment box during the period of time, for The average humidity of the external environment of the monitored equipment box during the period of time. is the total duration of data collection, For the The sulfide content in the equipment box is monitored in seconds. For the Seconds The nitrogen oxide content in the equipment box is monitored in seconds. is the preset standard sulfide content, is the preset standard nitrogen oxide content, For the The actual voltage on the device being monitored. For the The actual current input by the monitored device in seconds, is the resistivity of the wires connecting the monitored equipment. is the total length of the wires connecting the monitored equipment. is the cross-sectional area of ​​the wires connecting the monitored equipment. is the preset rated current of the monitored device, is the preset rated voltage of the monitored device, for The maximum voltage value loaded on the monitored device within the time period. for The maximum current value flowing through the monitored device within a certain period of time. During the time period, the average humidity inside and outside the monitored equipment box is: , , , the preset standard sulfur and nitrogen oxide contents are: , , , the preset rated current and voltage of the monitored equipment are , , the total length and cross-sectional area of ​​the wires connecting the monitored equipment are: , , the resistivity of the wires connecting the monitored equipment , The maximum voltage applied to the monitored device during the time , The maximum current flowing through the monitored device within a certain period of time , therefore, , , , , it means that the power input to the monitored device is unstable, which will trigger the abnormal alarm module to alarm the background terminal. At the same time, the intelligent voltage stabilization module adjusts the voltage of the power input to the monitored device, making the power input to the monitored device more stable, thereby improving the operating efficiency of the monitored device.

[0024] The data analysis platform can obtain the amount of information data received by the data analysis management platform and the magnetic field strength information data of the external environment of the monitored equipment box from the data acquisition unit, and obtain the information stability index through the analysis of the above acquired data. If: This means that the data analysis and management platform and the detected equipment information data transmission is stable. , it means that the information data transmission between the data analysis management platform and the detected equipment is unstable, which will trigger the abnormal alarm module to alarm the background terminal, and then send staff to the site for maintenance. is the information stability index, is the total duration of data collection, For the The amount of information data received by the second data analysis management platform, is the equipment operation index, for The maximum amount of information data received by the data analysis management platform within a certain period of time. for The minimum amount of information data received by the data analysis management platform within a certain period of time. is the environmental impact index, For the The magnetic field strength of the external environment of the monitored equipment box in seconds, for The maximum magnetic field strength of the external environment of the monitored equipment box within a certain period of time. for The minimum magnetic field strength of the external environment of the monitored equipment box within a certain period of time. During data collection, the environmental impact index , Equipment Operation Index , , , 500, During the time period, the maximum and minimum amounts of information data received by the data analysis management platform are: 520, , , During the time, the maximum and minimum magnetic field strengths of the external environment of the monitored equipment box are: 0.0065, , therefore, , , it means that the information data transmission between the data analysis management platform and the detected equipment is stable.

[0025] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A visual data analysis management platform, characterized in that: include: Platform login unit, platform portal unit, visualization platform, IoT monitoring platform, data analysis platform, data collection unit, data transmission unit, data storage unit, alarm display unit and intelligent control unit; Platform login unit: used to verify identity and securely log in to the platform by entering the correct username and password; Platform portal unit: used to centrally display and manage various services and information; Visualization platform: used to display the number of devices and alarm information; IoT monitoring platform: used to monitor gateway and device information and manage device models; Data acquisition unit: used to collect information data generated during the monitoring process of the equipment in real time; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data analysis platform: used to analyze the collected information data in real time and display the analysis results. At the same time, when the results are abnormal, an alarm is sent to the background terminal and a control signal is sent to the intelligent control unit; Alarm display unit: used to query device alarm data by selecting device name, indicator item, device status, and time range and display it in a list; Intelligent control unit: used to receive the control signal from the data analysis platform, and control the temperature, humidity and voltage during the data analysis and management process of the monitored equipment according to the control signal.

2. A visual data analysis management platform according to claim 1, characterized in that: The data acquisition unit includes: a temperature and humidity acquisition module, a flow rate acquisition module, a heat acquisition module, a size acquisition module, a voltage acquisition module, a current acquisition module, an air content acquisition module, an information acquisition module, and a magnetic field acquisition module; Temperature and humidity acquisition module: used to collect temperature and humidity information data inside and outside the monitored equipment box in real time; Flow rate acquisition module: used to collect the air flow rate information data in the monitored equipment box in real time; Heat collection module: used to collect heat information data on the surface of the monitored equipment box in real time; Size collection module: used to collect volume information data of the monitored equipment box in real time; Voltage acquisition module: used to collect voltage information data loaded on the monitored equipment in real time; Current acquisition module: used to collect the current information data input by the monitored equipment in real time; Air content collection module: used to collect real-time information data on sulfide and nitrogen oxide content in the monitored equipment box; Information volume collection module: used to collect the information volume received by the data analysis management platform in real time; Magnetic field acquisition module: used to collect real-time magnetic field strength information data of the external environment of the monitored equipment box.

3. A visual data analysis management platform according to claim 2, characterized in that: The visualization platform includes: an equipment overview module, an equipment list module, a real-time alarm statistics module and an alarm trend module; Device overview module: used to count the total number of detected devices, the number of online, offline, and alarm devices, and use charts to count the online and offline rates, and the proportion of normal and faulty devices; Device list module: used to list all devices under this account. Click on the device to locate it on the map. Real-time alarm statistics module: used to count the number of real-time alarms and display the top 5 equipment alarms; Alarm trend module: used to count alarm trends by year, month and day.

4. A visual data analysis management platform according to claim 3, characterized in that: The Internet of Things monitoring platform includes: a gateway list module, a device information module, a device maintenance module, an appearance model module and a device model module; Gateway list module: used for users to query and manage all gateways in the network by gateway name, tag name or gateway status; Device information module: used to query and manage all monitored devices by device name, tag name, gateway affiliation or device status; Equipment maintenance module: used to retrieve all monitored equipment maintenance records by equipment name, tag name, gateway affiliation or equipment status, and present maintenance details in real time; Appearance model module: used to upload, store, search, download and manage high-quality appearance 3D model resources of devices; Equipment model module: used to upload, store, search, download and manage high-quality structural 3D model resources of equipment.

5. A visual data analysis management platform according to claim 4, characterized in that: The data analysis platform includes: a real-time analysis module, an equipment prediction module, a historical data module, an alarm statistics module, an abnormal alarm module and a signal sending module; Real-time analysis module: used to process and analyze the collected information data and obtain the results of the analysis and judgment. At the same time, the device index items are queried by device name, index item, and analysis type and displayed in a curve chart; Equipment prediction module: used to query the prediction results by equipment name, indicator item, sample data, and prediction time and display them in the form of a curve chart; Historical data module: used to collect historical data by device name, indicator item, time type, time range, and analysis type, and display them in the form of a curve chart, and export the analysis results; Alarm statistics module: used to collect statistics on device alarm data by selecting device name, indicator item, time type, and time range, and display them in a curve chart or columnar form, and export the analysis results; Abnormal alarm module: used to send an alarm to the background terminal when abnormal conditions occur in the results of analysis and judgment by the data analysis platform; Signal sending module: used to send control command signals to the intelligent control unit according to the results of analysis and judgment when abnormal situations occur in the results of analysis and judgment of the data analysis platform.

6. A visual data analysis management platform according to claim 5, characterized in that: The intelligent control unit includes: a signal receiving module, a temperature and humidity control module and an intelligent voltage stabilization module; Signal receiving module: used to receive the control command signal sent by the signal sending module in real time; Temperature and humidity control module: used to automatically control the temperature and humidity inside the monitored equipment box; Intelligent voltage stabilization module: used to automatically regulate the voltage of the electrical energy input to the monitored device.

7. A visual data analysis management platform according to claim 6, characterized in that: The data analysis platform can obtain the temperature and humidity of the internal and external environment of the monitored equipment box, the air flow speed in the monitored equipment box, the heat on the surface of the monitored equipment box, and the volume information data of the monitored equipment box from the data acquisition unit, and obtain the environmental impact index through the analysis of the above acquired data. If: This means that the temperature and humidity in the monitored equipment box are within the appropriate range, and the monitored equipment is running stably. is the environmental impact index, is the total duration of data collection, For the The air flow speed in the equipment box is monitored in seconds. for The maximum air flow rate in the monitored equipment box within a certain period of time. for The minimum air flow rate in the monitored equipment box within a certain time period. for The maximum humidity in the monitored equipment box during the time period, for The minimum humidity in the monitored equipment box within the time period, For the The temperature inside the equipment box is monitored in seconds. for The average temperature of the external environment of the monitored equipment box during the time period. is the heat on the surface of the monitored equipment box. is the specific heat capacity of air, is the volume of the cabinet of the monitored equipment, is the air density, is the preset environmental threshold parameter.

8. A visual data analysis management platform according to claim 7, characterized in that: The data analysis platform can obtain the voltage loaded on the monitored equipment, the current input to the monitored equipment, and the sulfide and nitrogen oxide content information data in the monitored equipment box from the data acquisition unit, and obtain the equipment operation index through the above acquired data analysis, if: This means that the power input to the monitored device is stable, where: is the equipment operation index, for The average humidity in the monitored equipment box during the period of time, for The average humidity of the external environment of the monitored equipment box during the period of time. is the total duration of data collection, For the The sulfide content in the equipment box is monitored in seconds. For the Seconds The nitrogen oxide content in the equipment box is monitored in seconds. is the preset standard sulfide content, is the preset standard nitrogen oxide content, For the The actual voltage on the device being monitored. For the The actual current input by the monitored device in seconds, is the resistivity of the wires connecting the monitored equipment. is the total length of the wires connecting the monitored equipment. is the cross-sectional area of ​​the wires connecting the monitored equipment. is the preset rated current of the monitored device, is the preset rated voltage of the monitored device, for The maximum voltage value loaded on the monitored device within the time period. for The maximum current value flowing through the monitored device within a certain period of time.

9. A visual data analysis management platform according to claim 8, characterized in that: The data analysis platform can obtain the amount of information data received by the data analysis management platform and the magnetic field strength information data of the external environment of the monitored equipment box from the data acquisition unit, and obtain the information stability index through the above acquired data analysis, if: This indicates that the information data transmission between the data analysis management platform and the detected equipment is stable. is the information stability index, is the total duration of data collection, For the The amount of information data received by the second data analysis management platform, is the equipment operation index, for The maximum amount of information data received by the data analysis management platform within a certain period of time. for The minimum amount of information data received by the data analysis management platform within a certain period of time. is the environmental impact index, For the The magnetic field strength of the external environment of the monitored equipment box in seconds, for The maximum magnetic field strength of the external environment of the monitored equipment box within a certain period of time. for The minimum magnetic field strength outside the monitored device box within a specified time period.