Temperature monitoring method and device, electronic equipment and storage medium

Abstract

The invention discloses a temperature monitoring method and device, electronic equipment and a storage medium, and belongs to the technical field of control. According to the application, a double-brush grounding topology in which a steam turbine side grounding carbon brush and an exciter shaft head grounding module are connected in parallel is adopted, so that a shaft voltage discharge path is widened; a passive filter circuit composed of a resistor and a capacitor is connected in series in an exciter shaft head grounding loop, high-frequency pulsating voltage generated in the commutation period can be directionally discharged, and a low-impedance channel is provided for high-frequency current pulses. The dual-brush topology and the passive filter circuit cooperate to effectively offset the static excitation system and the superposed shaft voltage, and the shaft voltage is prevented from exceeding a safety threshold. The technical effects of reducing the shaft voltage amplitude to be within the safety threshold range, reducing the insulation breakdown risk of the bearing, guaranteeing the stable operation of the excitation system of the steam turbine generator and prolonging the service life of a unit are achieved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of control, and particularly relates to a temperature monitoring method and device, an electronic device and a storage medium. BACKGROUND

[0002] Coal storage and transportation safety monitoring, as an important part of industrial safety, is widely used in the field of energy storage. In the related technology, through the cooperative work of the infrared thermal imager, the pan-tilt control system and the monitoring center management system, a coal spontaneous combustion early warning technology system is constructed. Specifically, this technology covers the whole process from temperature data collection to safety decision-making, including key links such as fixed thermal imaging monitoring, distributed temperature measurement network and three-dimensional spatial positioning algorithm. With the development of industrial automation and intelligent monitoring technology, traditional point temperature measurement gradually evolves to area thermal imaging, but the existing system still has the technical bottleneck of insufficient multi-dimensional coverage. SUMMARY

[0003] The present disclosure provides a temperature monitoring method, device, electronic device and storage medium.

[0004] According to a first aspect of the present disclosure, a temperature monitoring method is provided, comprising: generating a scanning path covering all potential spontaneous combustion areas of the coal yard based on a dynamic path planning algorithm, and controlling the mobile temperature measurement system to perform scanning movement along the track; collecting temperature data, and combining pan angle parameters and track position information to perform three-dimensional spatial positioning, and generating a coal yard surface temperature distribution map; when detecting that there is a high-temperature area exceeding a preset threshold in the temperature distribution map, triggering a pre-alarm through a fuel safety information system software, and simultaneously displaying the temperature value and three-dimensional spatial position information of the high-temperature area.

[0005] Optionally, the generating a scanning path covering all potential spontaneous combustion areas of the coal yard based on a dynamic path planning algorithm, and controlling the mobile temperature measurement system to perform scanning movement along the track comprises: calculating the optimal scanning track of the mobile temperature measurement system based on a preset algorithm combined with the curved surface characteristics of the three-dimensional model of the coal yard; updating the three-dimensional model in real time according to the change of the coal pile shape, and adjusting the scanning path.

[0006] Optionally, the collecting temperature data, and combining pan angle parameters and track position information to perform three-dimensional spatial positioning, and generating a coal yard surface temperature distribution map comprises: calculating the camera spatial coordinates by using a coordinate conversion formula based on the pan tilt angle and the azimuth angle of the pan-tilt; splicing the mobile camera data and the fixed camera data through a time stamp synchronization mechanism.

[0007] Optionally, when a high-temperature region exceeding a preset threshold is detected in the temperature distribution map, triggering a pre-alarm via the fuel safety information system software, and simultaneously displaying the temperature value and three-dimensional spatial location information of the high-temperature region, includes: The preset threshold is dynamically adjusted based on ambient temperature and humidity data. Alarm information is transmitted to the monitoring terminal in real time via a wireless radio frequency module.

[0008] Optionally, the method further includes: A spontaneous combustion risk prediction model was constructed based on multi-source temperature data. The risk index is compared with historical spontaneous combustion data, and a graded warning is triggered when the risk index is greater than or equal to the historical spontaneous combustion data.

[0009] According to a second aspect of this disclosure, a temperature monitoring device is provided, comprising: The generation unit is used to generate a scanning path covering all potential spontaneous combustion areas in the coal yard based on a dynamic path planning algorithm, and to control the mobile temperature measurement system to perform scanning motion along the track. The acquisition unit is used to collect temperature data and combine it with the gimbal angle parameters and track position information to perform three-dimensional spatial positioning and generate a coal yard surface temperature distribution map. The alarm unit is used to trigger a pre-alarm through the fuel safety information system software when a high-temperature area exceeding a preset threshold is detected in the temperature distribution map, and at the same time displays the temperature value and three-dimensional spatial location information of the high-temperature area.

[0010] Optionally, the generation unit is further configured to: Based on a preset algorithm and the surface features of a three-dimensional coal yard model, the optimal scanning trajectory of the mobile temperature measurement system is calculated. The 3D model is updated in real time based on changes in the shape of the coal pile, and the scanning path is adjusted accordingly.

[0011] Optionally, the acquisition unit is further configured to: The spatial coordinates of the camera are calculated using a coordinate transformation formula based on the gimbal's pitch and azimuth angles. Data from mobile and fixed cameras is stitched together using a timestamp synchronization mechanism.

[0012] Optionally, the alarm unit is further configured to: The preset threshold is dynamically adjusted based on ambient temperature and humidity data. Alarm information is transmitted to the monitoring terminal in real time via a wireless radio frequency module.

[0013] Optionally, the device further includes: The building block is used to construct a spontaneous combustion risk prediction model based on multi-source temperature data; The comparison unit is used to compare the risk index with historical spontaneous combustion data, and trigger a graded warning when the risk index is greater than or equal to the historical spontaneous combustion data.

[0014] According to a third aspect of this disclosure, an electronic device is provided, comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0015] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0016] According to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0017] The temperature monitoring method, apparatus, electronic equipment, and storage medium disclosed herein, through the adoption of a dual-brush grounding topology with the turbine-side grounding carbon brush and the exciter shaft head grounding module connected in parallel, broadens the shaft voltage discharge path. The passive filter circuit composed of a resistor and capacitor connected in series in the exciter shaft head grounding circuit can directionally discharge the high-frequency pulsating voltage generated during commutation, providing a low-impedance path for high-frequency current pulses. The synergistic effect of the dual-brush topology and the passive filter circuit can effectively offset the static excitation system itself and the superimposed shaft voltage, preventing the shaft voltage from exceeding the safety threshold. Therefore, it can solve the technical problem in existing grounding carbon brush methods where the shaft voltage exceeds the safety threshold when the static excitation system acts alone, and the superimposed shaft voltage from other sources significantly increases the risk of bearing insulation breakdown and affects the long-term stable operation of the unit. This achieves the technical effects of reducing the shaft voltage amplitude to within the safety threshold range, reducing the risk of bearing insulation breakdown, ensuring the stable operation of the turbine generator excitation system, and extending the service life of the unit.

[0018] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0019] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 This is a schematic flowchart of a temperature monitoring method provided in an embodiment of the present disclosure; Figure 2 This is a schematic diagram of the structure of a temperature monitoring device provided in an embodiment of the present disclosure; Figure 3 This is a schematic diagram of another temperature monitoring device provided in an embodiment of the present disclosure; Figure 4 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0020] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0021] The following description, with reference to the accompanying drawings, describes a temperature monitoring method, apparatus, electronic device, and storage medium according to embodiments of the present disclosure.

[0022] Figure 1 This is a schematic flowchart of a temperature monitoring method provided in an embodiment of the present disclosure.

[0023] like Figure 1 As shown, the method includes the following steps: Step 101: Generate a scanning path covering all potential spontaneous combustion areas in the coal yard based on a dynamic path planning algorithm, and control the mobile temperature measurement system to perform scanning motion along the track; A path planning technique is employed to generate a scanning path that covers all potential spontaneous combustion areas in the coal yard. Based on this scanning path, a mobile temperature measurement system is controlled to perform orderly scanning movements along a preset track. The mobile temperature measurement system acquires coal yard surface temperature information during the scanning process through its temperature sensing function, enabling dynamic monitoring of potential spontaneous combustion areas and ensuring timely detection of temperature changes on the coal yard surface. As one implementation method, the scanning path can be generated based on a dynamic path planning algorithm. The mobile temperature measurement system can be an infrared scanning temperature measurement system including an infrared thermal imaging camera. The track can be configured with an adaptive structure according to the coal yard layout (e.g., in a closed coal shed scenario) to ensure complete coverage of the coal yard area during the scanning process and avoid monitoring blind spots.

[0024] By generating scanning paths covering all potential spontaneous combustion areas through path planning and controlling the mobile temperature measurement system to perform scanning along the track, blind spots in coal yard temperature monitoring can be effectively eliminated, ensuring a comprehensive investigation of potential spontaneous combustion risks in the coal yard, improving the timeliness and reliability of spontaneous combustion prevention in the coal yard, thereby ensuring the safe operation of the coal yard and reducing the economic losses that may be caused by coal spontaneous combustion.

[0025] Step 102: Collect temperature data and combine it with the gimbal angle parameters and track position information to perform three-dimensional spatial positioning and generate a coal yard surface temperature distribution map. The system acquires relevant parameters for positioning, including gimbal angle parameters and track position information. The collected temperature data is then fused with these two types of positioning parameters to achieve three-dimensional spatial positioning of each temperature acquisition point. Based on all the temperature data obtained from the three-dimensional spatial positioning, a surface temperature distribution map of the coal yard is generated, which clearly reflects the overall temperature situation of the coal yard, ensuring a clear representation of temperature differences in different areas. As one implementation method, the temperature measuring device can use an infrared thermal imaging camera to accurately collect temperature data. The gimbal angle parameters are provided by the gimbal control system, and the track position information is obtained through position feedback from the infrared scanning temperature measuring system as it moves along the circular track. Through the coordinated operation of these three components, three-dimensional spatial positioning and temperature distribution map generation are completed, ensuring the accuracy and completeness of the map's reflection of the coal yard temperature.

[0026] By collecting temperature data and combining it with gimbal angle parameters and track position information to achieve three-dimensional spatial positioning, a surface temperature distribution map of the coal yard can be generated. This map accurately correlates temperature data with spatial location, intuitively presents the temperature distribution of the coal yard, facilitates rapid location of high-temperature areas, improves the accuracy and efficiency of identifying potential spontaneous combustion hazards in the coal yard, provides reliable data support for timely spontaneous combustion prevention measures, and ensures the safety of the coal yard.

[0027] Step 103: When a high-temperature area exceeding a preset threshold is detected in the temperature distribution map, a pre-alarm is triggered through the fuel safety information system software, and the temperature value and three-dimensional spatial location information of the high-temperature area are displayed at the same time.

[0028] The generated coal yard surface temperature distribution map is monitored to determine if there are any high-temperature areas exceeding a preset threshold. If such high-temperature areas are detected, a pre-alarm mechanism is triggered through the fuel safety information system software, simultaneously displaying the corresponding temperature value and three-dimensional spatial location information of the high-temperature area. This ensures that relevant personnel can quickly obtain key information about high-temperature hazards, providing clear guidance for subsequent risk management. As one implementation method, the temperature distribution map can be generated based on temperature data collected by an infrared thermal imaging camera in an infrared scanning temperature measurement system, gimbal angle parameters provided by a gimbal control system, and track position information. The preset threshold can be set according to the coal type and safety management requirements of the coal yard to ensure the rationality of alarm triggering and the accuracy of the three-dimensional spatial location information.

[0029] By monitoring the temperature distribution map, early warnings can be triggered in a timely manner, and the temperature value and three-dimensional spatial location information of the high-temperature area can be displayed simultaneously. This can quickly alert the coal yard to potential spontaneous combustion risks, provide a basis for staff to accurately locate and deal with high-temperature hazards, effectively shorten the risk response time, reduce the probability of safety accidents and economic losses caused by coal spontaneous combustion, and further ensure the safe operation of the coal yard.

[0030] In some embodiments, generating a scanning path based on a dynamic path planning algorithm that covers all potential spontaneous combustion areas in the coal yard, and controlling the mobile temperature measurement system to perform scanning motion along the track includes: Based on a preset algorithm and the surface features of a three-dimensional coal yard model, the optimal scanning trajectory of the mobile temperature measurement system is calculated. The 3D model is updated in real time based on changes in the shape of the coal pile, and the scanning path is adjusted accordingly.

[0031] First, a 3D model consistent with the actual coal yard is constructed. The surface features of the 3D model are extracted using model analysis tools, including key terrain information such as the slope of the coal pile, raised areas, and sunken areas. Then, a preset path planning algorithm, such as the terrain-adaptive A* algorithm or Dijkstra algorithm, is used as the input of the extracted surface features as algorithm calculation parameters. Through iterative calculation, the optimal scanning trajectory that can cover all potential spontaneous combustion areas in the coal yard is obtained. This trajectory can avoid non-monitored areas of the coal yard and prioritize the coverage of potential spontaneous combustion key areas where heat is easily accumulated. Afterward, the mobile temperature measurement system (such as the infrared scanning temperature measurement system with infrared thermal imaging camera mentioned in the document) is controlled to perform stable scanning motion along a preset track (such as a circular track installed under the closed coal shed) according to the calculated optimal scanning trajectory. When the shape of the coal pile changes due to operations such as coal stacking and handling, the system collects data on the shape change of the coal pile in real time. For example, it can obtain information on the appearance change of the coal pile through an image acquisition device or use a weight sensor to help determine the volume change of the coal pile. Based on this data, the surface features of the three-dimensional model of the coal yard are updated. The updated surface features are then re-input into the preset path planning algorithm to recalculate and adjust the scanning path, ensuring that the adjusted path can still completely cover all potential spontaneous combustion areas.

[0032] The preset algorithm, combined with the surface features of the 3D model of the coal yard, calculates the optimal scanning trajectory, which allows the scanning path to accurately adapt to the coal yard terrain and avoid missing potential spontaneous combustion areas due to complex terrain. Furthermore, by updating the model and adjusting the path in real time according to changes in the shape of the coal pile, the scanning movement can adapt to the dynamic changes in the coal yard, continuously ensuring the comprehensiveness of the scanning coverage and effectively improving the accuracy and sustainability of monitoring potential spontaneous combustion areas in the coal yard.

[0033] In some embodiments, the process of collecting temperature data and combining it with gimbal angle parameters and track position information for three-dimensional spatial positioning to generate a coal yard surface temperature distribution map includes: The spatial coordinates of the camera are calculated using a coordinate transformation formula based on the gimbal's pitch and azimuth angles. Data from mobile and fixed cameras is stitched together using a timestamp synchronization mechanism.

[0034] When collecting temperature data, infrared thermal imaging cameras (including fixed distributed infrared thermal imaging cameras and mobile infrared thermal imaging cameras on a circular track) mentioned in the document are used to acquire coal yard surface temperature data. At the same time, the pan-tilt control system outputs the pan-tilt angle and azimuth angle parameters corresponding to the infrared thermal imaging camera. Based on the preset coordinate transformation formulas for pan-tilt angle and azimuth angle, the acquired pan-tilt angle, azimuth angle and the basic installation position parameters of the infrared thermal imaging camera (the preset installation coordinates for fixed cameras, and the track position information of the mobile camera traveling along the circular track) are substituted into the formula to calculate the real-time spatial coordinates of the infrared thermal imaging camera at each temperature acquisition time, thereby establishing the correspondence between temperature data and spatial position. For multiple sets of temperature data and corresponding spatial coordinates collected by mobile (walking along a circular track) and fixed infrared thermal imaging cameras, a timestamp synchronization mechanism is adopted. A unified standard timestamp is added when the two types of cameras collect data. The temperature data and associated spatial coordinates of the two types of cameras are matched and aligned based on the same timestamp to eliminate the deviation caused by the time difference of data collection. Then, the aligned mobile and fixed camera data are seamlessly stitched together, and all the stitched temperature-space correlation data are integrated to generate a coal yard surface temperature distribution map covering the entire coal yard area.

[0035] By calculating the spatial coordinates of the camera using the coordinate transformation formulas of the pan-tilt-zoom (PTZ) angle and azimuth angle, the correspondence between temperature data and three-dimensional spatial position can be accurately established, improving the accuracy of temperature data positioning. By using a timestamp synchronization mechanism to stitch together mobile and fixed camera data, the time deviation and acquisition gap between the two types of camera data can be effectively eliminated, ensuring the integrity and consistency of the coal yard surface temperature distribution map, laying the foundation for subsequent accurate identification of high-temperature areas.

[0036] In some embodiments, when a high-temperature region exceeding a preset threshold is detected in the temperature distribution map, triggering a pre-alarm via the fuel safety information system software and simultaneously displaying the temperature value and three-dimensional spatial location information of the high-temperature region includes: The preset threshold is dynamically adjusted based on ambient temperature and humidity data. Alarm information is transmitted to the monitoring terminal in real time via a wireless radio frequency module.

[0037] After generating a surface temperature distribution map of the coal yard based on an infrared scanning temperature measurement system (including an infrared thermal imaging camera, a pan-tilt control system, and a monitoring center management system), the system first collects real-time environmental temperature and humidity data of the coal yard through a matching environmental temperature and humidity sensor. This data, along with the temperature distribution map data, is synchronously transmitted to the fuel safety information system software. The fuel safety information system software has a built-in threshold dynamic adjustment model. Substituting the real-time collected environmental temperature and humidity data into the model, it dynamically adjusts the preset threshold used to determine high-temperature areas based on the influence of temperature and humidity on the critical temperature for coal self-ignition. For example, the preset threshold is appropriately lowered in high-humidity environments and appropriately raised in low-humidity, dry environments to ensure that the threshold setting matches the actual environmental conditions. When the fuel safety information system software detects a high-temperature area in the temperature distribution map that exceeds the dynamically adjusted preset threshold, it immediately triggers a pre-alarm mechanism. Simultaneously, through the system's integrated wireless radio frequency module, it packages the specific temperature value of the high-temperature area and the three-dimensional spatial location information obtained by positioning using pan-tilt angle parameters and track position information into alarm data, and wirelessly transmits it in real-time to the monitoring terminal (such as the display terminal of the monitoring center management system), achieving immediate transmission of alarm information.

[0038] By dynamically adjusting preset thresholds based on ambient temperature and humidity data, false alarms or missed alarms caused by environmental changes due to fixed thresholds can be avoided, thus improving the accuracy of high-temperature area identification. By transmitting alarm information to the monitoring terminal in real time via a wireless radio frequency module, staff can obtain key information about high-temperature areas as soon as possible, shortening alarm response time and providing strong support for timely handling of potential spontaneous combustion risks in coal yards, further ensuring coal yard safety.

[0039] In some embodiments, the method further includes: A spontaneous combustion risk prediction model was constructed based on multi-source temperature data. The risk index is compared with historical spontaneous combustion data, and a graded warning is triggered when the risk index is greater than or equal to the historical spontaneous combustion data.

[0040] During the operation of the infrared scanning temperature measurement system (including infrared thermal imaging cameras, pan-tilt control system, and monitoring center management system), multi-source temperature data is first collected. This data comes from temperature data collected by infrared thermal imaging cameras (including fixed infrared thermal imaging cameras rationally distributed within the coal yard and mobile infrared thermal imaging cameras moving along the circular track of the enclosed coal shed) at different times and in different areas, as well as global temperature change data and high-temperature zone duration data extracted from the generated coal yard surface temperature distribution map. After integrating the above multi-source temperature data, key feature parameters such as temperature change rate, high-temperature point density, and temperature gradient are extracted. Suitable data analysis algorithms (such as statistical learning-based algorithms) are used to train and learn these feature parameters to construct a spontaneous combustion risk prediction model that can quantitatively assess the possibility of spontaneous combustion in the coal yard. This model can output the corresponding spontaneous combustion risk index based on the input real-time multi-source temperature data. Meanwhile, the monitoring center management system stores historical spontaneous combustion data (including the spontaneous combustion risk index and temperature status data at the time) corresponding to past spontaneous combustion events in the coal yard, and sets it as the risk judgment benchmark. When the spontaneous combustion risk prediction model outputs the real-time risk index, the system automatically compares the real-time risk index with the risk benchmark value corresponding to the historical spontaneous combustion data. If the real-time risk index is greater than or equal to the benchmark value corresponding to the historical spontaneous combustion data, the system triggers a graded warning through the fuel safety information system software. For example, the warning is divided into different levels such as mild warning, moderate warning, and severe warning according to the extent to which the risk index exceeds the benchmark value, so as to distinguish the urgency of the spontaneous combustion risk.

[0041] By constructing a spontaneous combustion risk prediction model based on multi-source temperature data, the spontaneous combustion risk of coal yards can be quantitatively assessed from multiple dimensions, overcoming the limitations of relying solely on real-time temperature monitoring and enabling early prediction of spontaneous combustion risks. By comparing the real-time risk index with historical spontaneous combustion data to trigger graded early warnings, it is possible to ensure that the warning level accurately matches the actual risk level. This facilitates staff to take differentiated measures according to different warning levels, effectively improving the foresight and pertinence of spontaneous combustion risk prevention and control in coal yards, and further reducing the probability of spontaneous combustion accidents.

[0042] Corresponding to the temperature monitoring method described above, this invention also proposes a temperature monitoring device. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments described above, and will not be repeated here.

[0043] Figure 2 This is a schematic diagram of the structure of a temperature monitoring device provided in an embodiment of the present disclosure, as shown below. Figure 2 As shown, it includes: The generation unit 21 is used to generate a scanning path covering all potential spontaneous combustion areas in the coal yard based on a dynamic path planning algorithm, and to control the mobile temperature measurement system to perform scanning motion along the track. The acquisition unit 22 is used to acquire temperature data and combine it with the gimbal angle parameters and track position information to perform three-dimensional spatial positioning and generate a coal yard surface temperature distribution map. The alarm unit 23 is used to trigger a pre-alarm through the fuel safety information system software when a high-temperature area exceeding a preset threshold is detected in the temperature distribution map, and at the same time displays the temperature value and three-dimensional spatial location information of the high-temperature area.

[0044] Furthermore, in one possible implementation of this disclosure embodiment, the generation unit 21 is further configured to: Based on a preset algorithm and the surface features of a three-dimensional coal yard model, the optimal scanning trajectory of the mobile temperature measurement system is calculated. The 3D model is updated in real time based on changes in the shape of the coal pile, and the scanning path is adjusted accordingly.

[0045] Furthermore, in one possible implementation of this disclosure embodiment, the acquisition unit 22 is further configured to: The spatial coordinates of the camera are calculated using a coordinate transformation formula based on the gimbal's pitch and azimuth angles. Data from mobile and fixed cameras is stitched together using a timestamp synchronization mechanism.

[0046] Furthermore, in one possible implementation of this disclosure, the alarm unit 23 is further configured to: The preset threshold is dynamically adjusted based on ambient temperature and humidity data. Alarm information is transmitted to the monitoring terminal in real time via a wireless radio frequency module.

[0047] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 3 As shown, the device further includes: Building unit 24 is used to build a spontaneous combustion risk prediction model based on multi-source temperature data; The comparison unit 25 is used to compare the risk index with historical spontaneous combustion data, and trigger a graded warning when the risk index is greater than or equal to the historical spontaneous combustion data.

[0048] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0049] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0050] Figure 4A schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0051] like Figure 4 As shown, device 400 includes a computing unit 401, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 402 or a computer program loaded from storage unit 408 into RAM (Random Access Memory) 403. RAM 403 may also store various programs and data required for the operation of device 400. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. I / O (Input / Output) interface 405 is also connected to bus 404.

[0052] Multiple components in device 400 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of monitors, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0053] The computing unit 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as temperature monitoring methods. For example, in some embodiments, the temperature monitoring method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the aforementioned temperature monitoring method by any other suitable means (e.g., by means of firmware).

[0054] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0055] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0056] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0057] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0058] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0059] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0060] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0061] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0062] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A temperature monitoring method, characterized in that, include: Based on the dynamic path planning algorithm, a scanning path covering all potential spontaneous combustion areas in the coal yard is generated, and the mobile temperature measurement system is controlled to perform scanning motion along the track. Temperature data is collected and combined with gimbal angle parameters and track position information to perform three-dimensional spatial positioning and generate a surface temperature distribution map of the coal yard. When a high-temperature area exceeding a preset threshold is detected in the temperature distribution map, a pre-alarm is triggered through the fuel safety information system software, and the temperature value and three-dimensional spatial location information of the high-temperature area are displayed at the same time.

2. The method according to claim 1, characterized in that, The process of generating a scanning path covering all potential spontaneous combustion zones in the coal yard based on a dynamic path planning algorithm, and controlling the mobile temperature measurement system to perform scanning motion along the track, includes: Based on a preset algorithm and the surface features of a three-dimensional coal yard model, the optimal scanning trajectory of the mobile temperature measurement system is calculated. The 3D model is updated in real time based on changes in the shape of the coal pile, and the scanning path is adjusted accordingly.

3. The method according to claim 1, characterized in that, The collected temperature data, combined with the gimbal angle parameters and track position information, is used for three-dimensional spatial positioning to generate a coal yard surface temperature distribution map, including: The spatial coordinates of the camera are calculated using a coordinate transformation formula based on the gimbal's pitch and azimuth angles. Data from mobile and fixed cameras is stitched together using a timestamp synchronization mechanism.

4. The method according to claim 1, characterized in that, When a high-temperature region exceeding a preset threshold is detected in the temperature distribution map, a pre-alarm is triggered through the fuel safety information system software, and the temperature value and three-dimensional spatial location information of the high-temperature region are displayed simultaneously, including: The preset threshold is dynamically adjusted based on ambient temperature and humidity data. Alarm information is transmitted to the monitoring terminal in real time via a wireless radio frequency module.

5. The method according to claim 1, characterized in that, The method further includes: A spontaneous combustion risk prediction model was constructed based on multi-source temperature data. The risk index is compared with historical spontaneous combustion data, and a graded warning is triggered when the risk index is greater than or equal to the historical spontaneous combustion data.

6. A temperature monitoring device, characterized in that, include: The generation unit is used to generate a scanning path covering all potential spontaneous combustion areas in the coal yard based on a dynamic path planning algorithm, and to control the mobile temperature measurement system to perform scanning motion along the track. The acquisition unit is used to collect temperature data and combine it with the gimbal angle parameters and track position information to perform three-dimensional spatial positioning and generate a coal yard surface temperature distribution map. The alarm unit is used to trigger a pre-alarm through the fuel safety information system software when a high-temperature area exceeding a preset threshold is detected in the temperature distribution map, and at the same time displays the temperature value and three-dimensional spatial location information of the high-temperature area.

7. The apparatus according to claim 6, characterized in that, The generation unit is also used for: Based on a preset algorithm and the surface features of a three-dimensional coal yard model, the optimal scanning trajectory of the mobile temperature measurement system is calculated. The 3D model is updated in real time based on changes in the shape of the coal pile, and the scanning path is adjusted accordingly.

8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-5.

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