Equipment operation state monitoring method for government affair hall

Abstract

The invention discloses an equipment operation state monitoring method for a government affair hall, and relates to the technical field of data services. Comprising the following steps: 1, deploying multiple types of sensors for equipment in a government affair hall, collecting equipment operation parameters through the multiple types of sensors, and deploying an edge computing gateway; 2, setting a hybrid communication network; step 3, establishing an equipment digital twinborn model, storing equipment basic data, real-time operation data and historical fault data through a big data medium platform, performing distributed storage on the equipment basic data, the real-time operation data and the historical fault data, storing the data into a time sequence database, creating a fault prediction model and an energy efficiency analysis model by using an AI algorithm engine, and analyzing the energy efficiency of the equipment according to the fault prediction model and the energy efficiency analysis model; 4, displaying a two-dimensional / three-dimensional map view and an equipment detail page by utilizing a visual monitoring interface, sending early warning by adopting a multi-stage early warning mechanism, matching maintenance personnel according to a fault type, generating an electronic work order and tracking a processing progress; and step 5, carrying out business linkage.

Description

Technical Field

[0001] The invention discloses a method for monitoring the operating status of equipment in a government affairs hall, and relates to the technical field of data services. Background Art

[0002] As the core window for government services to the public, government service halls deploy a large number of critical devices, including self-service terminals, intelligent queuing systems, security equipment, and infrastructure. However, existing equipment monitoring still suffers from several shortcomings: A wide variety of devices and inconsistent protocols: Devices from different manufacturers use proprietary communication protocols, making data collection difficult and central monitoring challenging; Low manual inspection efficiency: Reliance on regular manual inspections leads to delayed fault detection, impacting service continuity; Lack of real-time data analysis: Equipment operating data is not effectively integrated, making it impossible to predict fault risks in advance, resulting in high operation and maintenance costs; Insufficient cross-system linkage: A lack of coordination between equipment status and business processes, such as queue scheduling and energy management, results in inefficient resource utilization. Summary of the Invention

[0003] In response to the problems of the existing technology, the present invention provides a method for monitoring the equipment operation status of a government hall, covering equipment data collection, real-time monitoring, intelligent early warning and linkage management, solving the problems of insufficient compatibility, real-time performance and intelligence of the existing equipment monitoring in government halls, and being used to realize real-time status monitoring, fault early warning and efficient operation and maintenance management of various equipment in the government hall.

[0004] The specific scheme proposed by the present invention is:

[0005] The present invention provides a method for monitoring the operating status of equipment in a government affairs hall, comprising:

[0006] Step 1: For the equipment in the government hall, deploy multiple types of sensors to collect equipment operating parameters.

[0007] Deploy an edge computing gateway, which encapsulates heterogeneous device data into a unified JSON format based on multi-protocol conversion, and performs data cleaning and preprocessing through the edge computing gateway.

[0008] Step 2: Set up the hybrid communication network:

[0009] For indoor devices, a short-range communication network is used.

[0010] For outdoor or dispersed equipment, long-distance communication networks are used.

[0011] And encrypt data during communication;

[0012] Step 3: Establish a digital twin model of the equipment: Based on the equipment model, configuration parameters and historical operation data, build a three-dimensional virtual model of the equipment to map the physical status of the equipment in real time.

[0013] The basic data of equipment, real-time operation data and historical fault data are stored in the big data middle platform, and the basic data of equipment, real-time operation data and historical fault data are distributed and stored in the time series database.

[0014] Use AI algorithm engines to create fault prediction models and energy efficiency analysis models, use fault prediction models to analyze equipment operating parameter trends, and use energy efficiency analysis models to optimize equipment start and stop strategies based on peak business hours.

[0015] Step 4: Use the visual monitoring interface to display 2D / 3D map views and device details pages. Use a multi-level early warning mechanism to send warnings, match maintenance personnel based on fault types, generate electronic work orders, and track processing progress.

[0016] Step 5: Perform business linkage: automatically switch to the backup device when the device fails;

[0017] Dynamically adjust equipment resources based on passenger flow data. If passenger flow suddenly increases, remotely activate the backup self-service terminal.

[0018] Furthermore, the multiple types of sensors deployed in step 1 of the method for monitoring the equipment operation status of a government hall include temperature sensors, vibration sensors, current sensors, and cameras, and the equipment operation parameters collected include voltage, power consumption, operation time, and image.

[0019] The deployed edge computing gateway supports multi-protocol conversion of Modbus, TCP / IP, MQTT, and Bluetooth.

[0020] Furthermore, the short-distance communication network used in step 2 of the method for monitoring the operating status of equipment in a government hall includes Bluetooth communication and Wi-Fi communication, and the long-distance communication network used includes 4G / 5G communication and NB-IoT communication.

[0021] TLS / SSL protocol is used to encrypt data during communication to ensure data transmission security and prevent sensitive information leakage.

[0022] Furthermore, in step 3 of the method for monitoring the equipment operation status of a government hall, the basic equipment data stored by the big data center includes equipment model, manufacturer, and maintenance cycle, and the real-time operation data stored includes frequency data.

[0023] Use the AI ​​algorithm engine to create a fault prediction model based on the LSTM neural network, analyze the trends of equipment operating parameters, and warn of potential faults in advance within a preset time period.

[0024] Furthermore, in step 4 of the method for monitoring the equipment operation status of a government hall, when a two-dimensional / three-dimensional map view is displayed using a visual monitoring interface, the equipment location and real-time status are displayed, where green indicates normal, yellow indicates warning, and red indicates fault.

[0025] When displaying the device details page, real-time data curves, historical fault records, and maintenance progress are displayed.

[0026] The present invention also provides a device for monitoring the equipment operation status of a government hall, including a deployment module, a communication management module, a data management module, a display module and a linkage module.

[0027] The deployment module deploys multiple types of sensors for the equipment in the government hall, and collects the equipment operating parameters through multiple types of sensors.

[0028] Deploy an edge computing gateway, which encapsulates heterogeneous device data into a unified JSON format based on multi-protocol conversion, and performs data cleaning and preprocessing through the edge computing gateway.

[0029] The communication management module sets up a hybrid communication network:

[0030] For indoor devices, a short-range communication network is used.

[0031] For outdoor or dispersed equipment, long-distance communication networks are used.

[0032] And encrypt data during communication;

[0033] The data management module establishes a digital twin model of the equipment: based on the equipment model, configuration parameters and historical operation data, it builds a three-dimensional virtual model of the equipment and maps the physical status of the equipment in real time.

[0034] The basic data of equipment, real-time operation data and historical fault data are stored in the big data middle platform, and the basic data of equipment, real-time operation data and historical fault data are distributed and stored in the time series database.

[0035] Use AI algorithm engines to create fault prediction models and energy efficiency analysis models, use fault prediction models to analyze equipment operating parameter trends, and use energy efficiency analysis models to optimize equipment start and stop strategies based on peak business hours.

[0036] The display module uses a visual monitoring interface to display 2D / 3D map views and device details pages. It uses a multi-level early warning mechanism to send warnings, match maintenance personnel based on fault types, generate electronic work orders, and track processing progress.

[0037] The linkage module performs business linkage: automatically switches to the backup device when the device fails;

[0038] Dynamically adjust equipment resources based on passenger flow data. If passenger flow suddenly increases, remotely activate the backup self-service terminal.

[0039] Furthermore, the deployment module of the equipment operation status monitoring device of the government hall deploys multiple types of sensors including temperature sensors, vibration sensors, current sensors, and cameras, and the equipment operation parameters collected include voltage, power consumption, operation time, and image.

[0040] The deployed edge computing gateway supports multi-protocol conversion of Modbus, TCP / IP, MQTT, and Bluetooth.

[0041] Furthermore, the short-distance communication network adopted by the communication management module of the equipment operation status monitoring device of the government hall includes Bluetooth communication and Wi-Fi communication, and the long-distance communication network adopted includes 4G / 5G communication and NB-IoT communication.

[0042] TLS / SSL protocol is used to encrypt data during communication to ensure data transmission security and prevent sensitive information leakage.

[0043] Furthermore, the data management module of the equipment operation status monitoring device of the government hall stores basic equipment data including equipment model, manufacturer, and maintenance period through the big data middle platform, and stores real-time operation data including frequency data.

[0044] Use the AI ​​algorithm engine to create a fault prediction model based on the LSTM neural network, analyze the trends of equipment operating parameters, and warn of potential faults in advance within a preset time period.

[0045] Furthermore, the display module of the equipment operation status monitoring device of the government hall uses a visual monitoring interface to display a two-dimensional / three-dimensional map view, showing the equipment location and real-time status, where green indicates normal, yellow indicates warning, and red indicates fault.

[0046] When displaying the device details page, real-time data curves, historical fault records, and maintenance progress are displayed.

[0047] The benefits of the present invention are:

[0048] The present invention can realize multi-protocol compatibility, real-time status monitoring, intelligent fault prediction and business linkage functions, effectively solve the existing problems of low monitoring efficiency and delayed early warning, and improve the intelligence level of equipment operation and maintenance in government halls. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic flow chart of the method of the present invention. DETAILED DESCRIPTION

[0050] The present invention will be further described below with reference to the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it. However, the embodiments are not intended to limit the present invention.

[0051] Example 1

[0052] The present invention provides a method for monitoring the operating status of equipment in a government affairs hall, comprising:

[0053] Step 1: For the equipment in the government hall, deploy multiple types of sensors to collect equipment operating parameters.

[0054] Deploy an edge computing gateway, encapsulate heterogeneous device data into a unified JSON format based on multi-protocol conversion, and perform data cleaning and preprocessing through the edge computing gateway.

[0055] The multiple types of sensors deployed include temperature sensors, vibration sensors, current sensors, and cameras. The equipment operating parameters collected include voltage, power consumption, operating time, and images.

[0056] The deployed edge computing gateway supports multi-protocol conversion of Modbus, TCP / IP, MQTT, and Bluetooth.

[0057] Step 2: Set up the hybrid communication network:

[0058] For indoor devices, a short-range communication network is used.

[0059] For outdoor or dispersed equipment, long-distance communication networks are used.

[0060] And encrypt data during communication.

[0061] The short-distance communication networks used include Bluetooth communication and Wi-Fi communication, and the long-distance communication networks used include 4G / 5G communication and NB-IoT communication.

[0062] TLS / SSL protocol is used to encrypt data during communication to ensure data transmission security and prevent sensitive information leakage.

[0063] Step 3: Establish a digital twin model of the equipment: Based on the equipment model, configuration parameters and historical operation data, build a three-dimensional virtual model of the equipment to map the physical status of the equipment in real time.

[0064] The basic data of equipment, real-time operation data and historical fault data are stored in the big data middle platform, and the basic data of equipment, real-time operation data and historical fault data are distributed and stored in the time series database.

[0065] Use the AI ​​algorithm engine to create fault prediction models and energy efficiency analysis models, use the fault prediction model to analyze the trends of equipment operating parameters, and use the energy efficiency analysis model to optimize equipment start and stop strategies in combination with business peak periods.

[0066] The basic equipment data stored in the big data platform includes equipment model, manufacturer, and maintenance cycle, and the real-time operation data stored includes frequency data.

[0067] Use the AI ​​algorithm engine to create a fault prediction model based on the LSTM neural network, analyze the trends of equipment operating parameters, and warn of potential faults in advance within a preset time period.

[0068] Step 4: Use the visual monitoring interface to display 2D / 3D map views and device details pages, use a multi-level early warning mechanism to send warnings, match maintenance personnel based on fault types, generate electronic work orders, and track processing progress.

[0069] When using the visual monitoring interface to display the 2D / 3D map view, the device location and real-time status are displayed, with green indicating normal, yellow indicating warning, and red indicating fault.

[0070] When displaying the device details page, real-time data curves, historical fault records, and maintenance progress are displayed.

[0071] Step 5: Perform business linkage: automatically switch to the backup device when the device fails;

[0072] Dynamically adjust equipment resources based on passenger flow data. If passenger flow suddenly increases, remotely activate the backup self-service terminal.

[0073] Example 2

[0074] The present invention also provides a device for monitoring the equipment operation status of a government hall, including a deployment module, a communication management module, a data management module, a display module and a linkage module.

[0075] The deployment module deploys multiple types of sensors for the equipment in the government hall, and collects the equipment operating parameters through multiple types of sensors.

[0076] Deploy an edge computing gateway, which encapsulates heterogeneous device data into a unified JSON format based on multi-protocol conversion, and performs data cleaning and preprocessing through the edge computing gateway.

[0077] The communication management module sets up a hybrid communication network:

[0078] For indoor devices, a short-range communication network is used.

[0079] For outdoor or dispersed equipment, long-distance communication networks are used.

[0080] And encrypt data during communication;

[0081] The data management module establishes a digital twin model of the equipment: based on the equipment model, configuration parameters and historical operation data, it builds a three-dimensional virtual model of the equipment and maps the physical status of the equipment in real time.

[0082] The basic data of equipment, real-time operation data and historical fault data are stored in the big data middle platform, and the basic data of equipment, real-time operation data and historical fault data are distributed and stored in the time series database.

[0083] Use AI algorithm engines to create fault prediction models and energy efficiency analysis models, use fault prediction models to analyze equipment operating parameter trends, and use energy efficiency analysis models to optimize equipment start and stop strategies based on peak business hours.

[0084] The display module uses a visual monitoring interface to display 2D / 3D map views and device details pages. It uses a multi-level early warning mechanism to send warnings, match maintenance personnel based on fault types, generate electronic work orders, and track processing progress.

[0085] The linkage module performs business linkage: automatically switches to the backup device when the device fails;

[0086] Dynamically adjust equipment resources based on passenger flow data. If passenger flow suddenly increases, remotely activate the backup self-service terminal.

[0087] Since the information interaction, execution process and other contents between the modules in the above-mentioned device are based on the same concept as the embodiment of the method of the present invention, the specific contents can be found in the description of the embodiment of the method of the present invention and will not be repeated here.

[0088] Similarly, the device of the present invention can achieve multi-protocol compatibility, real-time status monitoring, intelligent fault prediction and business linkage functions, effectively solving the existing problems of low monitoring efficiency and delayed warning, and improving the intelligence level of equipment operation and maintenance in government halls.

[0089] It should be noted that not all steps and modules in the above-mentioned processes and device structures are required, and certain steps or modules can be omitted according to actual needs. The execution order of each step is not fixed and can be adjusted as needed. The system structure described in the above-mentioned embodiments can be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by multiple physical entities, or may be implemented by certain components in multiple independent devices.

[0090] The above-described embodiments are merely preferred embodiments for the purpose of fully illustrating the present invention, and the scope of protection of the present invention is not limited thereto. Equivalent substitutions or modifications made by those skilled in the art based on the present invention are within the scope of protection of the present invention. The scope of protection of the present invention shall be subject to the claims.

Claims

1. A method for monitoring the operating status of equipment in a government hall, characterized by: include: Step 1: For the equipment in the government hall, deploy multiple types of sensors to collect equipment operating parameters. Deploy an edge computing gateway, which encapsulates heterogeneous device data into a unified JSON format based on multi-protocol conversion, and performs data cleaning and preprocessing through the edge computing gateway. Step 2: Set up the hybrid communication network: For indoor devices, a short-range communication network is used. For outdoor or dispersed equipment, long-distance communication networks are used. And encrypt data during communication; Step 3: Establish a digital twin model of the equipment: Based on the equipment model, configuration parameters and historical operation data, build a three-dimensional virtual model of the equipment to map the physical status of the equipment in real time. The basic data of equipment, real-time operation data and historical fault data are stored in the big data middle platform, and the basic data of equipment, real-time operation data and historical fault data are distributed and stored in the time series database. Use AI algorithm engines to create fault prediction models and energy efficiency analysis models, use fault prediction models to analyze equipment operating parameter trends, and use energy efficiency analysis models to optimize equipment start and stop strategies based on peak business hours. Step 4: Use the visual monitoring interface to display 2D / 3D map views and device details pages. Use a multi-level early warning mechanism to send warnings, match maintenance personnel based on fault types, generate electronic work orders, and track processing progress. Step 5: Conduct business linkage: Automatically switch to backup equipment when equipment fails; dynamically adjust equipment resources based on passenger flow data; if passenger flow suddenly increases, remotely start the backup self-service terminal.

2. The method for monitoring the equipment operation status of a government hall according to claim 1 is characterized in that The multiple types of sensors deployed in step 1 include temperature sensors, vibration sensors, current sensors, and cameras. The collected device operating parameters include voltage, power consumption, operating time, and images. The deployed edge computing gateway supports multi-protocol conversion of Modbus, TCP / IP, MQTT, and Bluetooth.

3. The method for monitoring the operating status of equipment in a government hall according to claim 1, wherein the short-distance communication network used in step 2 includes Bluetooth communication and Wi-Fi communication, and the long-distance communication network used includes 4G / 5G communication and NB-IoT communication. TLS / SSL protocol is used to encrypt data during communication to ensure data transmission security and prevent sensitive information leakage.

4. The method for monitoring the equipment operation status of a government hall according to claim 1 is characterized in that In step 3, the basic equipment data stored in the big data platform includes equipment model, manufacturer, and maintenance cycle, and the real-time operation data stored includes frequency data. Use the AI ​​algorithm engine to create a fault prediction model based on the LSTM neural network, analyze the trends of equipment operating parameters, and warn of potential faults in advance within a preset time period.

5. The method for monitoring the equipment operation status of a government hall according to claim 1 is characterized in that In step 4, when using the visual monitoring interface to display the 2D / 3D map view, the device location and real-time status are displayed, where green indicates normal, yellow indicates warning, and red indicates fault. When displaying the device details page, real-time data curves, historical fault records, and maintenance progress are displayed.

6. A device for monitoring the equipment operation status of a government hall, characterized by Including deployment module, communication management module, data management module, display module and linkage module, The deployment module deploys multiple types of sensors for the equipment in the government hall, and collects the equipment operating parameters through multiple types of sensors. Deploy an edge computing gateway, which encapsulates heterogeneous device data into a unified JSON format based on multi-protocol conversion, and performs data cleaning and preprocessing through the edge computing gateway. The communication management module sets up a hybrid communication network: For indoor devices, a short-range communication network is used. For outdoor or dispersed equipment, long-distance communication networks are used. And encrypt data during communication; The data management module establishes a digital twin model of the equipment: based on the equipment model, configuration parameters and historical operation data, it builds a three-dimensional virtual model of the equipment and maps the physical status of the equipment in real time. The basic data of equipment, real-time operation data and historical fault data are stored in the big data middle platform, and the basic data of equipment, real-time operation data and historical fault data are distributed and stored in the time series database. Use AI algorithm engines to create fault prediction models and energy efficiency analysis models, use fault prediction models to analyze equipment operating parameter trends, and use energy efficiency analysis models to optimize equipment start and stop strategies based on peak business hours. The display module uses a visual monitoring interface to display 2D / 3D map views and device details pages. It uses a multi-level early warning mechanism to send warnings, match maintenance personnel based on fault types, generate electronic work orders, and track processing progress. The linkage module performs business linkage: automatically switches to the backup device when the device fails; Dynamically adjust equipment resources based on passenger flow data. If passenger flow suddenly increases, remotely activate the backup self-service terminal.

7. The device for monitoring the equipment operation status of a government hall according to claim 6 is characterized in that The deployment module deploys multiple types of sensors including temperature sensors, vibration sensors, current sensors, and cameras. The collected equipment operating parameters include voltage, power consumption, operating time, and images. The deployed edge computing gateway supports multi-protocol conversion of Modbus, TCP / IP, MQTT, and Bluetooth.

8. The device for monitoring the equipment operation status of a government hall according to claim 6 is characterized in that The short-distance communication networks used by the communication management module include Bluetooth communication and Wi-Fi communication, and the long-distance communication networks used include 4G / 5G communication and NB-IoT communication. TLS / SSL protocol is used to encrypt data during communication to ensure data transmission security and prevent sensitive information leakage.

9. The device for monitoring the equipment operation status of a government hall according to claim 6 is characterized in that the data The management module stores basic equipment data including equipment model, manufacturer, and maintenance period through the big data platform, and stores real-time operation data including frequency data. Use the AI ​​algorithm engine to create a fault prediction model based on the LSTM neural network, analyze the trends of equipment operating parameters, and warn of potential faults in advance within a preset time period.

10. The device for monitoring the equipment operation status of a government hall according to claim 1 is characterized in that The display module uses the visual monitoring interface to display the 2D / 3D map view, showing the device location and real-time status, where green indicates normal, yellow indicates warning, and red indicates fault. When displaying the device details page, real-time data curves, historical fault records, and maintenance progress are displayed.

Images