Mine lamp data processing method based on internet-of-things interaction and related equipment

Abstract

The embodiment of the invention belongs to the technical field of Internet of Things, and relates to an Internet of Things interaction-based mine lamp data processing method, which comprises the following steps of: based on a wireless network, acquiring preset mine lamp battery data and mine lamp illumination data corresponding to each mine lamp illumination area; performing data analysis according to the miner's lamp battery data and the miner's lamp illumination data to generate a miner's lamp data analysis report; according to the miner's lamp data analysis report, determining miner's lamp safety levels corresponding to the miner's lamp lighting areas; and executing a preset miner lamp management process according to the miner lamp safety level. The invention further provides a mining lamp data processing device based on Internet of Things interaction, computer equipment and a storage medium. The mine lamp data processing efficiency is effectively improved when the Internet of Things technology is applied to mine lamp data processing.

Description

Technical Field

[0001] The present application relates to the technical field of Internet of Things, and in particular to a mining lamp data processing method based on Internet of Things interaction and related equipment. Background Art

[0002] In modern society, mining lamp technology is developing rapidly. As an important safety equipment in coal mines, mines and other underground workplaces, the battery status and lighting status of mining lamps directly affect the life safety and work efficiency of miners.

[0003] In order to better monitor and manage mining lamps, the Internet of Things technology has been widely used in the field of mine safety equipment. The Internet of Things technology can connect various physical devices to the Internet to achieve intelligent, interconnected and automated equipment.

[0004] At present, the way to monitor and manage mining lamps using IoT technology is mainly to collect relevant data of mining lamps in real time through sensors installed on mining lamps and transmit them to the ground control center, which then analyzes these data to grasp the battery status and lighting status of mining lamps in real time, so as to realize the monitoring and management of mining lamps. However, this method mainly transmits data through wired networks, which is costly and easily affected by the environment. In addition, data analysis by the ground control center consumes more computing resources and human resources, and cannot achieve the effect of real-time response, resulting in low efficiency of mining lamp data processing, which is difficult to meet the needs of mine production. Summary of the invention

[0005] The purpose of the embodiments of the present application is to propose a mining lamp data processing method and related equipment based on Internet of Things interaction to solve the technical problem of low efficiency when applying Internet of Things technology to mining lamp data processing.

[0006] In order to solve the above technical problems, the embodiment of the present application provides a mining lamp data processing method based on IoT interaction, which adopts the following technical solutions:

[0007] A mining lamp data processing method based on IoT interaction comprises the following steps:

[0008] Based on the wireless network, obtain the mining lamp battery data and mining lamp illumination data corresponding to each preset mining lamp lighting area;

[0009] Performing data analysis based on the mining lamp battery data and the mining lamp illumination data to generate a mining lamp data analysis report;

[0010] Determine the mining lamp safety level corresponding to each mining lamp lighting area according to the mining lamp data analysis report;

[0011] According to the mining lamp safety level, the preset mining lamp management process is executed.

[0012] Furthermore, the step of executing a preset mining lamp management process according to the mining lamp safety level specifically includes:

[0013] According to the safety level of the mining lamp, determining the target area that does not meet the preset safety standard in each lighting area of ​​the mining lamp;

[0014] Send the mining lamp replacement prompt information corresponding to the target area to the preset administrator user terminal.

[0015] Furthermore, the step of determining the mining lamp safety level corresponding to each mining lamp lighting area according to the mining lamp data analysis report specifically includes:

[0016] Analyze the mining lamp data analysis report to obtain the battery health level and light source quality level corresponding to each mining lamp lighting area;

[0017] The battery health level and the light source quality level are determined according to preset standards to determine the mining lamp safety level corresponding to each mining lamp lighting area.

[0018] Furthermore, the safety level of the mining lamp includes good, qualified, and unqualified. The step of judging the battery health level and the light source quality level according to the preset standard to determine the mining lamp safety level corresponding to each mining lamp lighting area specifically includes:

[0019] Comparing the battery health level with a preset first battery threshold and a second battery threshold, and comparing the light source quality level with a preset first light source threshold and a second light source threshold, wherein the first battery threshold is less than the second battery threshold, and the first light source threshold is less than the second light source threshold;

[0020] If there is a first mining lamp lighting area where the battery health level is less than the first battery threshold and / or the light source quality level is less than the first light source threshold, determining that the mining lamp safety level of the first mining lamp lighting area is unqualified;

[0021] If there is a second mining lamp lighting area whose battery health level is greater than or equal to the first battery threshold and less than or equal to the second battery threshold and / or whose light source quality level is greater than or equal to the first light source threshold and less than or equal to the second light source threshold, it is determined that the mining lamp safety level of the second mining lamp lighting area is qualified;

[0022] If there is a third mining lamp lighting area whose battery health level is greater than the second battery threshold and whose light source quality level is greater than the second light source threshold, it is determined that the mining lamp safety level of the third mining lamp lighting area is good.

[0023] Furthermore, the battery data includes battery health information and power status information, and the mining lamp lighting data includes light source quality information and lighting status information. The step of performing data analysis based on the mining lamp battery data and the mining lamp lighting data to generate a mining lamp data analysis report specifically includes:

[0024] Perform data analysis based on the battery health information and the power status information to determine the battery health level corresponding to each mining lamp lighting area;

[0025] Performing data analysis based on the light source quality information and the lighting status information to determine the light source quality level corresponding to each of the mining lamp lighting areas;

[0026] The mining lamp data analysis report is generated according to the battery health level and the light source quality level.

[0027] Furthermore, after the step of performing data analysis based on the mining lamp battery data and the mining lamp illumination data to generate a mining lamp data analysis report, the method further includes:

[0028] Determine whether there is abnormal information of the mining lamp according to the mining lamp data analysis report;

[0029] If the abnormal mining lamp information exists, the target abnormal mining lamp is determined according to the abnormal mining lamp information, and abnormal alarm information corresponding to the target abnormal mining lamp is sent to a preset administrator user terminal.

[0030] Furthermore, the mining lamp data processing method based on IoT interaction also includes:

[0031] The battery data of the mining lamp, the lighting data of the mining lamp, the data analysis report of the mining lamp and the safety level of the mining lamp are recorded in real time and displayed on a preset interface.

[0032] In order to solve the above technical problems, the embodiment of the present application also provides a mining lamp data processing device based on IoT interaction, which adopts the following technical solution:

[0033] A mining lamp data processing device based on Internet of Things interaction, comprising:

[0034] An acquisition module, used for acquiring the mining lamp battery data and mining lamp illumination data corresponding to each preset mining lamp lighting area based on a wireless network;

[0035] A generating module, used for performing data analysis based on the mining lamp battery data and the mining lamp illumination data, and generating a mining lamp data analysis report;

[0036] A determination module, used for determining the mining lamp safety level corresponding to each mining lamp lighting area according to the mining lamp data analysis report;

[0037] The execution module is used to execute a preset mining lamp management process according to the mining lamp safety level.

[0038] In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical solution:

[0039] A computer device includes a memory and a processor, wherein the memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, the steps of the mining lamp data processing method based on Internet of Things interaction as described above are implemented.

[0040] In order to solve the above technical problems, the embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solution:

[0041] A computer-readable storage medium having computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by a processor, implement the steps of the above-mentioned mining lamp data processing method based on Internet of Things interaction.

[0042] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0043] The mining lamp data processing method based on IoT interaction disclosed in the present application obtains the mining lamp battery data and mining lamp lighting data corresponding to each preset mining lamp lighting area based on a wireless network; then performs data analysis based on the mining lamp battery data and the mining lamp lighting data to generate a mining lamp data analysis report; then, according to the mining lamp data analysis report, determines the mining lamp safety level corresponding to each mining lamp lighting area; thus, according to the mining lamp safety level, executes the preset mining lamp management process. The present application obtains and analyzes mining lamp data in real time through a wireless IoT network, so that the battery status and lighting status of the mining lamp can be monitored and managed, realizing intelligent management of mining lamps, improving mine safety, reducing operating costs, reducing human intervention, and effectively improving the efficiency of mining lamp data processing using IoT technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1is an exemplary system architecture diagram to which the present application may be applied;

[0046] Figure 2 It is a flow chart of an embodiment of a mining lamp data processing method based on IoT interaction according to the present application;

[0047] Figure 3 It is a structural schematic diagram of an embodiment of a mining lamp data processing device based on IoT interaction according to the present application;

[0048] Figure 4 It is a structural diagram of an embodiment of a computer device according to the present application. DETAILED DESCRIPTION

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0050] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0051] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0052] like Figure 1 As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0053] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0054] Terminal devices 101, 102, 103 can be various electronic devices with display screens and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop computers, desktop computers, etc.

[0055] The server 105 may be a server that provides various services, such as a background server that provides support for web pages displayed on the terminal devices 101 , 102 , and 103 .

[0056] It should be noted that the mining lamp data processing method based on Internet of Things interaction provided in the embodiment of the present application is generally executed by a server, and accordingly, the mining lamp data processing device based on Internet of Things interaction is generally arranged in the server.

[0057] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0058] Continue to refer Figure 2 , shows a flow chart of an embodiment of a mining lamp data processing method based on IoT interaction according to the present application. The mining lamp data processing method based on IoT interaction comprises the following steps:

[0059] Step S201, based on the wireless network, obtaining the miner's lamp battery data and the miner's lamp illumination data corresponding to each preset miner's lamp illumination area.

[0060] In this embodiment, the mining lamp data processing method based on the Internet of Things interaction runs on the electronic device (for example Figure 1The server shown in the figure) can send or receive data through a wired connection or a wireless connection. It should be noted that the above wireless connection method may include but is not limited to 3G / 4G / 5G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods currently known or to be developed in the future.

[0061] In this embodiment, the battery power and lighting status of the miner's lamp can be obtained in real time through wireless network technology, and the miner's lamp can be built-in with sensors and Internet of Things modules to ensure the accuracy and timeliness of the data. In a mining area, all miners' lamps can send their battery and lighting status data to the central control system through Wi-Fi or other wireless technologies, which can achieve real-time monitoring, reduce the time and labor cost of manual inspection, and ensure the safety of miners.

[0062] Exemplarily, a micro-light collector can be set in each sub-room of the lamp room to realize the automatic detection of the light source quality data of the miner's lamp. Specifically, the micro-light collector automatically collects the light source quality data of the miner's lamp at a certain interval (for example, 1 hour), and transmits the data to the lamp room information center for storage and processing. The micro-light collector can automatically collect light source quality data regularly (such as every hour) to ensure the continuity and real-time nature of monitoring, reduce the need for manual monitoring, reduce labor costs, and improve the accuracy of data; through the built-in wireless communication module, the data can be seamlessly transmitted to the information center of the lamp room, avoiding the complexity and limitations brought by traditional wiring, ensuring the flexibility and reliability of data transmission, and enabling the miner's lamp management system to operate normally in different environments; all collected data will be centrally stored in the information center for subsequent analysis and query; by regularly collecting and transmitting data, managers can understand the light source quality of the miner's lamp in real time and discover potential problems in a timely manner. The micro-light collector not only improves the automation and intelligence level of miner's lamp management, but also provides a strong guarantee for the safe operation of the mine through real-time monitoring of data.

[0063] Step S202, performing data analysis based on the mining lamp battery data and the mining lamp illumination data, and generating a mining lamp data analysis report.

[0064] In this embodiment, the acquired data is analyzed to evaluate the battery status and light source quality of the mining lamp. The analysis report may show that the battery power of some mining lamps is below the safety threshold and the light source brightness is insufficient. Data support can be provided to help managers make timely decisions and prevent potential safety hazards.

[0065] Step S203, determining the mining lamp safety level corresponding to each mining lamp lighting area according to the mining lamp data analysis report.

[0066] In this embodiment, based on the data analysis results, the safety level of each mining lamp is evaluated, such as "good", "qualified" or "unqualified". According to the analysis report, the mining lamps in a certain area may be rated as "qualified" while those in another area may be marked as "unqualified".

[0067] Step S204, executing a preset mining lamp management process according to the mining lamp safety level.

[0068] In this embodiment, the corresponding management process is initiated according to the assessed safety level, such as maintenance or replacement. For mining lamps marked as "unqualified", the system automatically initiates a maintenance request and notifies relevant personnel to conduct inspection and replacement.

[0069] This application acquires and analyzes mining lamp data in real time through a wireless Internet of Things network, so that the battery status and lighting status of the mining lamp can be monitored and managed, realizing intelligent management of mining lamps, improving mine safety, reducing operating costs, reducing human intervention, and effectively improving the efficiency of mining lamp data processing using Internet of Things technology.

[0070] In some optional implementations of this embodiment, the above-mentioned step of executing a preset mining lamp management process according to the mining lamp safety level specifically includes:

[0071] According to the safety level of the mining lamp, determining the target area that does not meet the preset safety standard in each lighting area of ​​the mining lamp;

[0072] Send the mining lamp replacement prompt information corresponding to the target area to the preset administrator user terminal.

[0073] In this embodiment, based on the evaluation results of the safety level, the mining lamp areas that need special attention are identified, and the areas where the battery power is lower than the preset threshold can be marked so as to concentrate resources and attention on high-risk areas and reduce safety hazards; the system automatically sends notifications to managers to remind them to deal with mining lamps that do not meet safety standards in a timely manner. For example, the administrator receives a notification that "the battery power of mining lamp A in area B is too low, please replace it as soon as possible."

[0074] This application improves the management efficiency and safety of mining lamps by clearly identifying risk areas and notifying managers in a timely manner.

[0075] In some optional implementations of this embodiment, the step of determining the mining lamp safety level corresponding to each mining lamp lighting area according to the mining lamp data analysis report specifically includes:

[0076] Analyze the mining lamp data analysis report to obtain the battery health level and light source quality level corresponding to each mining lamp lighting area;

[0077] The battery health level and the light source quality level are determined according to preset standards to determine the mining lamp safety level corresponding to each mining lamp lighting area.

[0078] In this embodiment, the data in the analysis report is further parsed to extract the specific battery health and light source quality levels. For example, the report shows that the battery health level in a certain area is "medium" and the light source quality level is "good". The parsed level is compared with the preset safety standard to determine the final safety level. If the battery health level is lower than the preset value, the safety level is "unqualified", forming a systematic judgment standard to ensure the safety of mining lamps.

[0079] This application ensures that the safety level assessment of each mining lamp area is scientific and reasonable through detailed analysis, providing a basis for subsequent management measures.

[0080] In some optional implementations of this embodiment, the above-mentioned miner's lamp safety level includes good, qualified, and unqualified. The step of judging the battery health level and the light source quality level according to the preset standard to determine the miner's lamp safety level corresponding to each miner's lamp lighting area specifically includes:

[0081] Comparing the battery health level with a preset first battery threshold and a second battery threshold, and comparing the light source quality level with a preset first light source threshold and a second light source threshold, wherein the first battery threshold is less than the second battery threshold, and the first light source threshold is less than the second light source threshold;

[0082] If there is a first mining lamp lighting area where the battery health level is less than the first battery threshold and / or the light source quality level is less than the first light source threshold, determining that the mining lamp safety level of the first mining lamp lighting area is unqualified;

[0083] If there is a second mining lamp lighting area whose battery health level is greater than or equal to the first battery threshold and less than or equal to the second battery threshold and / or whose light source quality level is greater than or equal to the first light source threshold and less than or equal to the second light source threshold, it is determined that the mining lamp safety level of the second mining lamp lighting area is qualified;

[0084] If there is a third mining lamp lighting area whose battery health level is greater than the second battery threshold and whose light source quality level is greater than the second light source threshold, it is determined that the mining lamp safety level of the third mining lamp lighting area is good.

[0085] In this embodiment, the battery health level is classified by the set threshold to determine whether it meets the safety standard. For example, the first battery threshold is 50%, the second battery threshold is 30%, and if the battery health level is 25%, it is marked as "unqualified". And the light source quality is evaluated in the same way to ensure that it meets the lighting needs. If the light source quality level is 45% and the first light source threshold is 40%, it is marked as "qualified". Based on the above comparison results, if the battery or light source of any mining lamp does not meet the safety standard, it is marked as "unqualified". For example, the battery health level is 20%, the light source quality level is 30%, and the area is marked as "unqualified". Confirm that the area where the battery and light source are within the qualified range is marked as "qualified". The battery health level is 35%, the light source quality level is 45%, and this area is marked as "qualified". The area of ​​the mining lamp with excellent performance is marked as "good" to encourage its continued use. For example, the battery health level is 60%, the light source quality level is 70%, and this area is marked as "good".

[0086] This application makes the management of mining lamps more scientific and systematic through detailed classification standards, ensuring the safety of miners and production efficiency.

[0087] In some optional implementations of this embodiment, the battery data includes battery health information and power status information, and the mining lamp lighting data includes light source quality information and lighting status information. The step of performing data analysis based on the mining lamp battery data and the mining lamp lighting data to generate a mining lamp data analysis report specifically includes:

[0088] Perform data analysis based on the battery health information and the power status information to determine the battery health level corresponding to each mining lamp lighting area;

[0089] Performing data analysis based on the light source quality information and the lighting status information to determine the light source quality level corresponding to each of the mining lamp lighting areas;

[0090] The mining lamp data analysis report is generated according to the battery health level and the light source quality level.

[0091] In this embodiment, the components of battery data are defined to ensure comprehensive coverage of battery status. Battery health information reflects the life and performance of the battery, while power status information displays the current remaining power, ensuring the comprehensiveness of data collection and providing a more detailed reference for management. The components of lighting data are defined to ensure accurate reflection of lighting quality. Light source quality information evaluates the light efficiency of the bulb, while lighting status information displays the on / off status of the lamp, improving the monitoring of light source performance and providing data support for safety management. By comprehensively analyzing the battery health information and power status, the overall health level of the battery is obtained. For example, if the power status is 50% and the health information is displayed as "good", the battery health level is "good". The light source quality and status are analyzed to ensure the normal operation of the light source. If the light source quality information is displayed as "medium" and the lighting status is normal, the light source quality level is "qualified". The analysis results are organized into reports for easy viewing and decision-making by managers. The generated report may include the battery and light source status of each area, recommended measures, etc.

[0092] This application defines and analyzes battery and light source data to ensure comprehensive and accurate performance monitoring of mining lamps and improve overall safety management.

[0093] In some optional implementations of this embodiment, after the above step of performing data analysis based on the mining lamp battery data and the mining lamp illumination data to generate a mining lamp data analysis report, the method further includes:

[0094] Determine whether there is abnormal information of the mining lamp according to the mining lamp data analysis report;

[0095] If the abnormal mining lamp information exists, the target abnormal mining lamp is determined according to the abnormal mining lamp information, and abnormal alarm information corresponding to the target abnormal mining lamp is sent to a preset administrator user terminal.

[0096] In this embodiment, by analyzing the report, checking whether there are any data anomalies, identifying potential risks, if the report shows that the power of a mining lamp is abnormally reduced, it is marked as abnormal. When an abnormality is found, the system automatically determines the specific mining lamp and issues a warning to notify the management personnel, for example, the administrator receives a warning message "The power of mining lamp X is abnormal, please check".

[0097] This application improves the response capability to abnormalities of mining lamps and ensures the safety of miners through automatic monitoring and alarm systems.

[0098] In some optional implementations of this embodiment, the above-mentioned mining lamp data processing method based on IoT interaction further includes:

[0099] The battery data of the mining lamp, the lighting data of the mining lamp, the data analysis report of the mining lamp and the safety level of the mining lamp are recorded in real time and displayed on a preset interface.

[0100] In this embodiment, various data are monitored and recorded in real time, and visualized on the user interface for easy management and viewing. For example, managers can see the real-time battery status and light quality of all mining lamps through the monitoring interface.

[0101] This application enhances the transparency and efficiency of management by real-time recording and visual display of data, ensuring continuous safety monitoring of mining lamps.

[0102] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0103] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0104] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through computer-readable instructions, and the computer-readable instructions can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the aforementioned storage medium can be a non-volatile storage medium such as a disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0105] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0106] Further references Figure 3 , as a response to the above Figure 2 The present application provides an embodiment of a mining lamp data processing device based on IoT interaction. Figure 2 Corresponding to the method embodiment shown, the device can be specifically applied to various electronic devices.

[0107] like Figure 3 As shown, the mining lamp data processing device 300 based on IoT interaction described in this embodiment includes: an acquisition module 301, a generation module 302, a determination module 303 and an execution module 304. Among them:

[0108] The acquisition module 301 is used to acquire the mining lamp battery data and the mining lamp illumination data corresponding to each preset mining lamp illumination area based on the wireless network;

[0109] A generating module 302, configured to perform data analysis based on the mining lamp battery data and the mining lamp illumination data, and generate a mining lamp data analysis report;

[0110] A determination module 303, for determining the mining lamp safety level corresponding to each mining lamp lighting area according to the mining lamp data analysis report;

[0111] The execution module 404 is used to execute a preset mining lamp management process according to the mining lamp safety level.

[0112] The mining lamp data processing device based on IoT interaction provided in the present application acquires and analyzes mining lamp data in real time through a wireless IoT network, so that the battery status and lighting status of the mining lamp can be monitored and managed, thereby realizing intelligent management of mining lamps, improving mine safety, reducing operating costs, reducing human intervention, and effectively improving the efficiency of mining lamp data processing using IoT technology.

[0113] In some optional implementations of this embodiment, the execution module 404 is further configured to:

[0114] According to the safety level of the mining lamp, determining the target area that does not meet the preset safety standard in each lighting area of ​​the mining lamp;

[0115] Send the mining lamp replacement prompt information corresponding to the target area to the preset administrator user terminal.

[0116] The mining lamp data processing device based on Internet of Things interaction provided in this application improves the management efficiency and safety of mining lamps by clearly identifying risk areas and notifying managers in a timely manner.

[0117] In some optional implementations of this embodiment, the determining module 303 is further configured to:

[0118] Analyze the mining lamp data analysis report to obtain the battery health level and light source quality level corresponding to each mining lamp lighting area;

[0119] The battery health level and the light source quality level are determined according to preset standards to determine the mining lamp safety level corresponding to each mining lamp lighting area.

[0120] The mining lamp data processing device based on Internet of Things interaction provided in this application ensures that the safety level assessment of each mining lamp area is scientific and reasonable through refined analysis, providing a basis for subsequent management measures.

[0121] In some optional implementations of this embodiment, the above-mentioned mining lamp safety level includes good, qualified, and unqualified, and the determination module 303 is further used to:

[0122] Comparing the battery health level with a preset first battery threshold and a second battery threshold, and comparing the light source quality level with a preset first light source threshold and a second light source threshold, wherein the first battery threshold is less than the second battery threshold, and the first light source threshold is less than the second light source threshold;

[0123] If there is a first mining lamp lighting area where the battery health level is less than the first battery threshold and / or the light source quality level is less than the first light source threshold, determining that the mining lamp safety level of the first mining lamp lighting area is unqualified;

[0124] If there is a second mining lamp lighting area whose battery health level is greater than or equal to the first battery threshold and less than or equal to the second battery threshold and / or whose light source quality level is greater than or equal to the first light source threshold and less than or equal to the second light source threshold, it is determined that the mining lamp safety level of the second mining lamp lighting area is qualified;

[0125] If there is a third mining lamp lighting area whose battery health level is greater than the second battery threshold and whose light source quality level is greater than the second light source threshold, it is determined that the mining lamp safety level of the third mining lamp lighting area is good.

[0126] The mining lamp data processing device based on Internet of Things interaction provided in this application makes the management of mining lamps more scientific and systematic through detailed classification standards, thereby ensuring the safety of miners and production efficiency.

[0127] In some optional implementations of this embodiment, the battery data includes battery health information and power status information, the mining lamp lighting data includes light source quality information and lighting status information, and the determination module 303 is further used to:

[0128] Perform data analysis based on the battery health information and the power status information to determine the battery health level corresponding to each mining lamp lighting area;

[0129] Performing data analysis based on the light source quality information and the lighting status information to determine the light source quality level corresponding to each of the mining lamp lighting areas;

[0130] The mining lamp data analysis report is generated according to the battery health level and the light source quality level.

[0131] The mining lamp data processing device based on IoT interaction provided in this application ensures comprehensive and accurate performance monitoring of mining lamps by defining and analyzing battery and light source data, thereby improving the overall safety management level.

[0132] In some optional implementations of this embodiment, the generating module 302 is further configured to:

[0133] Determine whether there is abnormal information of the mining lamp according to the mining lamp data analysis report;

[0134] If the abnormal mining lamp information exists, the target abnormal mining lamp is determined according to the abnormal mining lamp information, and abnormal alarm information corresponding to the target abnormal mining lamp is sent to a preset administrator user terminal.

[0135] The mining lamp data processing device based on Internet of Things interaction provided in the present application improves the response capability to mining lamp anomalies and ensures the safety of miners through automatic monitoring and alarm systems.

[0136] In some optional implementations of this embodiment, the execution module 404 is further configured to:

[0137] The battery data of the mining lamp, the lighting data of the mining lamp, the data analysis report of the mining lamp and the safety level of the mining lamp are recorded in real time and displayed on a preset interface.

[0138] The mining lamp data processing device based on Internet of Things interaction provided in this application enhances the transparency and efficiency of management by real-time recording and visual display of data, thereby ensuring continuous and safe monitoring of mining lamps.

[0139] To solve the above technical problems, the present application also provides a computer device. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.

[0140] The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are interconnected through a system bus. It should be noted that the figure only shows a computer device 4 with components 41-43, but it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital processors (Digital Signal Processor, DSP), embedded devices, etc.

[0141] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The computer device may interact with a user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0142] The memory 41 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 41 can be an internal storage unit of the computer device 4, such as a hard disk or memory of the computer device 4. In other embodiments, the memory 41 can also be an external storage device of the computer device 4, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. equipped on the computer device 4. Of course, the memory 41 can also include both the internal storage unit of the computer device 4 and its external storage device. In this embodiment, the memory 41 is generally used to store the operating system and various application software installed on the computer device 4, such as computer-readable instructions of a mining lamp data processing method based on IoT interaction, etc. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or are to be output.

[0143] The processor 42 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 42 is generally used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to run the computer-readable instructions stored in the memory 41 or process data, such as running the computer-readable instructions of the mining lamp data processing method based on IoT interaction.

[0144] The network interface 43 may include a wireless network interface or a wired network interface. The network interface 43 is generally used to establish a communication connection between the computer device 4 and other electronic devices.

[0145] The computer equipment provided in this application acquires and analyzes mining lamp data in real time through a wireless Internet of Things network, so that the battery status and lighting status of the mining lamp can be monitored and managed, realizing intelligent management of mining lamps, improving mine safety, reducing operating costs, reducing human intervention, and effectively improving the efficiency of mining lamp data processing using Internet of Things technology.

[0146] The present application also provides another embodiment, namely, providing a computer-readable storage medium, wherein the computer-readable storage medium stores computer-readable instructions, and the computer-readable instructions can be executed by at least one processor to enable the at least one processor to perform the steps of the above-mentioned mining lamp data processing method based on Internet of Things interaction.

[0147] The computer-readable storage medium provided in this application acquires and analyzes mining lamp data in real time through a wireless Internet of Things network, so that the battery status and lighting status of the mining lamp can be monitored and managed, realizing intelligent management of mining lamps, improving mine safety, reducing operating costs, reducing human intervention, and effectively improving the efficiency of mining lamp data processing using Internet of Things technology.

[0148] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0149] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to perform equivalent replacement of some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. A mining lamp data processing method based on IoT interaction, characterized in that: The steps include: Based on the wireless network, obtain the mining lamp battery data and mining lamp illumination data corresponding to each preset mining lamp lighting area; Performing data analysis based on the mining lamp battery data and the mining lamp illumination data to generate a mining lamp data analysis report; Determine the mining lamp safety level corresponding to each mining lamp lighting area according to the mining lamp data analysis report; According to the mining lamp safety level, the preset mining lamp management process is executed.

2. The mining lamp data processing method based on IoT interaction according to claim 1 is characterized in that: The step of executing a preset mining lamp management process according to the mining lamp safety level specifically includes: According to the safety level of the mining lamp, determining the target area that does not meet the preset safety standard in each lighting area of ​​the mining lamp; Send the mining lamp replacement prompt information corresponding to the target area to the preset administrator user terminal.

3. The mining lamp data processing method based on IoT interaction according to claim 2 is characterized in that: The step of determining the mining lamp safety level corresponding to each mining lamp lighting area according to the mining lamp data analysis report specifically includes: Analyze the mining lamp data analysis report to obtain the battery health level and light source quality level corresponding to each mining lamp lighting area; The battery health level and the light source quality level are determined according to preset standards to determine the mining lamp safety level corresponding to each mining lamp lighting area.

4. The mining lamp data processing method based on IoT interaction according to claim 3 is characterized in that: The safety level of the mining lamp includes good, qualified, and unqualified. The steps of judging the battery health level and the light source quality level according to the preset standard and determining the mining lamp safety level corresponding to each mining lamp lighting area specifically include: Comparing the battery health level with a preset first battery threshold and a second battery threshold, and comparing the light source quality level with a preset first light source threshold and a second light source threshold, wherein the first battery threshold is less than the second battery threshold, and the first light source threshold is less than the second light source threshold; If there is a first mining lamp lighting area where the battery health level is less than the first battery threshold and / or the light source quality level is less than the first light source threshold, determining that the mining lamp safety level of the first mining lamp lighting area is unqualified; If there is a second mining lamp lighting area whose battery health level is greater than or equal to the first battery threshold and less than or equal to the second battery threshold and / or whose light source quality level is greater than or equal to the first light source threshold and less than or equal to the second light source threshold, it is determined that the mining lamp safety level of the second mining lamp lighting area is qualified; If there is a third mining lamp lighting area whose battery health level is greater than the second battery threshold and whose light source quality level is greater than the second light source threshold, it is determined that the mining lamp safety level of the third mining lamp lighting area is good.

5. The mining lamp data processing method based on IoT interaction according to claim 4 is characterized in that: The battery data includes battery health information and power status information, the mining lamp lighting data includes light source quality information and lighting status information, and the step of performing data analysis based on the mining lamp battery data and the mining lamp lighting data to generate a mining lamp data analysis report specifically includes: Perform data analysis based on the battery health information and the power status information to determine the battery health level corresponding to each mining lamp lighting area; Performing data analysis based on the light source quality information and the lighting status information to determine the light source quality level corresponding to each of the mining lamp lighting areas; The mining lamp data analysis report is generated according to the battery health level and the light source quality level.

6. The mining lamp data processing method based on IoT interaction according to claim 1 is characterized in that: After the step of performing data analysis based on the mining lamp battery data and the mining lamp illumination data to generate a mining lamp data analysis report, the method further includes: Determine whether there is abnormal information of the mining lamp according to the mining lamp data analysis report; If the abnormal mining lamp information exists, the target abnormal mining lamp is determined according to the abnormal mining lamp information, and abnormal alarm information corresponding to the target abnormal mining lamp is sent to a preset administrator user terminal.

7. The mining lamp data processing method based on IoT interaction according to any one of claims 1 to 6, characterized in that: The mining lamp data processing method based on IoT interaction also includes: The battery data of the mining lamp, the lighting data of the mining lamp, the data analysis report of the mining lamp and the safety level of the mining lamp are recorded in real time and displayed on a preset interface.

8. A mining lamp data processing device based on IoT interaction, characterized in that: include: An acquisition module, used for acquiring the mining lamp battery data and mining lamp illumination data corresponding to each preset mining lamp lighting area based on a wireless network; A generating module, used for performing data analysis based on the mining lamp battery data and the mining lamp illumination data, and generating a mining lamp data analysis report; A determination module, used for determining the mining lamp safety level corresponding to each mining lamp lighting area according to the mining lamp data analysis report; The execution module is used to execute a preset mining lamp management process according to the mining lamp safety level.

9. A computer device, characterized in that: It comprises a memory and a processor, wherein the memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, the steps of the mining lamp data processing method based on Internet of Things interaction as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-readable instructions, which, when executed by a processor, implement the steps of the mining lamp data processing method based on Internet of Things interaction as described in any one of claims 1 to 7.

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