Personnel and equipment safety detection system based on infrared thermal imaging technology

Abstract

The invention provides a personnel and equipment safety detection system and method based on an infrared thermal imaging technology. The system comprises an infrared imaging sensor, an environment monitoring and predicting assembly and a data processor, and the infrared imaging sensor and the environment monitoring and predicting assembly are connected with the data processor. The infrared imaging sensor is used for monitoring the environment temperature of the monitoring area; the environment monitoring and predicting assembly is used for collecting environment data of the monitoring area, the environment data at least comprises environment temperature, predicting environment change of the monitoring area according to the environment data to obtain environment prediction information of the monitoring area, and determining target system parameters of the infrared imaging sensor according to the environment prediction information; and the data processor is used for adjusting the infrared imaging sensor according to the target system parameters of the infrared imaging sensor. The system parameters of the infrared imaging sensor can be adjusted based on the actual environment condition, and the quality and the temperature detection precision are improved.

Description

Technical Field

[0001] The present application relates to the field of safety detection technology, and in particular to a personnel and equipment safety detection system and method based on infrared thermal imaging technology. Background Art

[0002] Infrared thermal imaging technology is a technology that can detect the surface temperature of a target and generate thermal imaging images. However, the detection accuracy of infrared thermal imaging technology may be different in different environments. How to improve the accuracy of infrared thermal imaging technology has become a research focus. Summary of the invention

[0003] The purpose of this application is to solve one of the technical problems in the related art at least to some extent.

[0004] To this end, the first purpose of the present application is to propose a personnel and equipment safety detection system based on infrared thermal imaging technology to reduce the impact of the environment on imaging quality and temperature monitoring.

[0005] The second purpose of this application is to propose a personnel and equipment safety detection method based on infrared thermal imaging technology.

[0006] The third objective of the present application is to provide an electronic device.

[0007] A fourth objective of the present application is to provide a computer-readable storage medium.

[0008] A fifth object of the present application is to provide a computer program product.

[0009] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a personnel and equipment safety detection system based on infrared thermal imaging technology, comprising: an infrared imaging sensor, an environmental monitoring and prediction component, and a data processor, wherein the infrared imaging sensor and the environmental monitoring and prediction component are respectively connected to the data processor;

[0010] The infrared imaging sensor is used to monitor the ambient temperature of the monitoring area;

[0011] The environmental monitoring and prediction component is used to collect environmental data of the monitoring area, the environmental data at least including the ambient temperature, and predict the environmental changes of the monitoring area according to the environmental data to obtain environmental prediction information of the monitoring area, and determine the first target system parameter of the infrared imaging sensor according to the environmental prediction information;

[0012] The data processor is used to adjust the infrared imaging sensor according to the first target system parameter of the ring infrared imaging sensor.

[0013] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a personnel and equipment safety detection method based on infrared thermal imaging technology, comprising:

[0014] Collecting environmental data of the monitoring area, wherein the environmental data at least includes the ambient temperature;

[0015] Predicting environmental changes in the monitoring area according to the environmental data to obtain environmental prediction information of the monitoring area;

[0016] Determining a first target system parameter of the infrared imaging sensor according to the environmental prediction information;

[0017] The infrared imaging sensor corresponding to the monitoring area is adjusted according to the first target system parameter of the ring infrared imaging sensor.

[0018] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: a processor; and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory, so that the processor can execute the personnel and equipment safety detection method based on infrared thermal imaging technology described in the first aspect embodiment above.

[0019] To achieve the above-mentioned purpose, the fourth aspect of the present application proposes a computer-readable storage medium on which a computer program is stored, and the computer instructions are used to enable the computer to execute the personnel and equipment safety detection method based on infrared thermal imaging technology described in the first aspect of the above-mentioned embodiment.

[0020] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the personnel and equipment safety detection method based on infrared thermal imaging technology described in the first aspect of the embodiment.

[0021] The personnel and equipment safety detection system and method based on infrared thermal imaging technology provided in the present application monitors and predicts the environmental status of the monitored area, so that the system parameters of the infrared imaging sensor can be adjusted based on the actual environmental conditions to make it more adapted to the environment, thereby improving the imaging quality of the infrared imaging sensor and the accuracy of temperature detection, and providing accurate data basis for subsequent safety detection of personnel or equipment.

[0022] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0024] Figure 1 A schematic diagram of the structure of a personnel and equipment safety detection system based on infrared thermal imaging technology provided in an embodiment of the present application;

[0025] Figure 2 A schematic diagram of the structure of another personnel and equipment safety detection system based on infrared thermal imaging technology provided in an embodiment of the present application;

[0026] Figure 3 A schematic diagram of the structure of a database provided in an embodiment of the present application;

[0027] Figure 4 A schematic diagram of the structure of a data processor provided in an embodiment of the present application;

[0028] Figure 5 A schematic diagram of the structure of an environmental monitoring and prediction component provided in an embodiment of the present application;

[0029] Figure 6 A schematic diagram of the structure of an alarm component provided in an embodiment of the present application;

[0030] Figure 7 A flowchart of a personnel and equipment safety detection method based on infrared thermal imaging technology provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0032] The following describes a personnel and equipment safety detection system and method based on infrared thermal imaging technology according to an embodiment of the present application with reference to the accompanying drawings.

[0033] Figure 1 FIG. 1 is a schematic diagram showing a structure of a personnel and equipment safety detection system based on infrared thermal imaging technology according to an exemplary embodiment. Figure 1 As shown, the personnel equipment safety detection system 100 of the embodiment of the present application includes:

[0034] Infrared imaging sensor 10, environment monitoring and prediction component 20, and data processor 30, wherein the infrared imaging sensor 10 and the environment monitoring and prediction component 20 are connected to the data processor 30 respectively.

[0035] In some embodiments, the infrared imaging sensor 10 is used to monitor the ambient temperature of the monitoring area.

[0036] Infrared thermal imaging technology can monitor the temperature changes of personnel and equipment in coal mines in real time, detect abnormal situations in time, and warn of possible safety risks in advance; infrared thermal imaging technology can realize non-contact detection of personnel and equipment, and obtain temperature information without touching the target object, avoiding the potential safety hazards of traditional contact detection; infrared thermal imaging technology is not affected by environmental factors such as light and dust, and can perform all-weather monitoring under various complex environmental conditions in coal mines to ensure the safety of personnel and equipment; through infrared thermal imaging technology, one-time monitoring of a large area can be achieved, potential safety issues can be identified quickly and accurately, and the efficiency and accuracy of safety detection can be improved. Especially in coal mine scenarios, the personnel and equipment safety detection system based on infrared thermal imaging technology can effectively improve the level of safety monitoring, reduce safety risks, and ensure coal mine production and personnel safety.

[0037] In some embodiments, the environmental monitoring and prediction component 20 is used to collect environmental data of the monitoring area, and predict environmental changes in the monitoring area based on the environmental data to obtain environmental prediction information of the monitoring area, and determine the first target system parameters of the infrared imaging sensor based on the environmental prediction information.

[0038] In some embodiments, an environmental monitoring device is installed in the monitoring area, including a temperature sensor, a humidity sensor, and a wind speed sensor, to monitor the environmental status in the monitoring area in real time, and further, the sensing data of the temperature sensor, the humidity sensor, and the wind speed sensor can be collected to obtain environmental data. Optionally, the temperature sensor included in the environmental monitoring and prediction component 20 can be an infrared imaging sensor 10.

[0039] In some embodiments, the collected environmental data can be analyzed to obtain environmental analysis results. Optionally, the collected environmental data can be visualized, mined, and modeled to obtain environmental analysis results, thereby enabling identification of environmental changes and trends in the monitoring area.

[0040] Further, based on the environmental analysis results and the historical environmental analysis results, combined with a linear regression algorithm or a machine learning algorithm, the environmental change trend is predicted to obtain environmental prediction information. Optionally, based on the historical environmental data and the corresponding environmental analysis results, as sample data, an environmental prediction model can be trained based on the sample data, wherein the environmental prediction model can include models for temperature prediction, humidity prediction, and wind speed prediction. Further, based on the trained environmental prediction model, combined with the environmental data and the environmental analysis results, the future environmental change trend of the monitoring area is predicted to obtain environmental prediction information. Optionally, based on the linear regression algorithm, combined with the environmental data and the environmental analysis results, the future environmental change trend of the monitoring area is predicted to obtain environmental prediction information. It is understandable that a more complex machine learning algorithm can be selected according to the specific situation, and combined with more environmental condition data for comprehensive analysis to obtain environmental prediction information.

[0041] In some embodiments, after obtaining the environmental prediction information, the first target system parameters of the infrared imaging sensor 10 that match the future environment can be determined based on the environmental prediction information, and further, the infrared imaging sensor 10 can be parameterized based on the first target system parameters. By adjusting the system parameters of the infrared imaging sensor 10 based on the environmental conditions, the infrared imaging sensor 10 can be adapted to different environmental conditions, which is conducive to improving the adaptability and accuracy of the system.

[0042] In some embodiments, a mapping relationship between the environment and system parameters can be established in advance, for example, it can be a functional relationship, a mapping relationship table or a machine learning model, etc. Furthermore, after obtaining the environmental prediction information, the system parameters that match the environmental prediction information can be determined based on the functional relationship, the mapping relationship table or the machine learning model, that is, the first target system parameters.

[0043] For example, if the humidity is too high, the system parameters can be adjusted to adapt to the high humidity environment. For another example, if the humidity is moderate, the system parameters can be maintained as default parameters.

[0044] Optionally, the environmental prediction information may include environmental conditions in multiple dimensions, such as temperature, humidity, and wind speed, etc. The temperature, humidity, and wind speed may be combined to determine the first target system parameter of the infrared imaging sensor 10 .

[0045] Optionally, an environmental quality index may be determined based on temperature, humidity, and wind speed, and the first target system parameter of the infrared imaging sensor 10 may be determined according to the environmental quality index.

[0046] In some embodiments, the data processor 30 is used to adjust the infrared imaging sensor according to the target system parameters of the infrared imaging sensor.

[0047] In some embodiments, the infrared imaging sensor 10 and the environmental monitoring and prediction component 20 may send the collected data to the data processor 30 for analysis and management.

[0048] The personnel and equipment safety detection system based on infrared thermal imaging technology provided in the embodiment of the present application improves the adaptability of the infrared imaging sensor to the surrounding environment by real-time monitoring and prediction of environmental conditions and adjusting the system parameters of the infrared imaging sensor according to environmental changes, thereby improving the accuracy of infrared imaging and temperature measurement. Especially in the working environment underground in a coal mine, the system ensures safety under normal operation through real-time monitoring and effectively prevents the occurrence of danger under expected fault conditions.

[0049] The personnel and equipment safety detection system based on infrared thermal imaging technology provided in the embodiment of the present application can be applied to various scenarios, such as factory workshops, hospitals, schools, airports, etc. In factory workshops, it can be used to detect the temperature changes of equipment and promptly detect equipment failures or abnormal conditions to ensure production safety. In hospitals, it can be used to monitor the temperature changes of patients and promptly detect fever patients, so as to achieve early detection, early isolation, and early treatment. In schools, it can be used to detect the temperature of students and faculty members, promptly detect fever personnel, and ensure campus safety. In airports, it can be used to detect the temperature of passengers and staff, promptly detect personnel with fever symptoms, and achieve early detection, early isolation, and early treatment. It is especially important that in coal mine scenarios, the personnel and equipment safety detection system based on infrared thermal imaging technology can achieve real-time monitoring and early warning.

[0050] Figure 2 is a schematic diagram of the structure of another personnel and equipment safety detection system based on infrared thermal imaging technology according to an exemplary embodiment. Figure 2 As shown, based on the above embodiment, the personnel equipment safety detection system 100 of the embodiment of the present application may further include: a personnel detection component 40 and a device temperature detection component 50, an alarm component 60 and a database 70. The personnel detection component 40 and the device temperature detection component 50 are respectively connected to the data processor 30, and the data processor 30 is also connected to the alarm component and the database 70.

[0051] In some embodiments, the personnel detection component 40 is used to collect personnel distribution information in the monitoring area. Optionally, the personnel detection component can be a video monitoring component or other sensors, which can be deployed at a designated location in the monitoring area, so as to collect personnel distribution information in the monitoring area.

[0052] In some embodiments, the device temperature detection component 50 is used to collect the device temperature in the monitoring area. Optionally, the device temperature detection component 50 can be a temperature sensor, which is arranged on the detected device in the monitoring area. Optionally, one or more temperature sensors can be arranged on each detected device, and the temperature sensor can be arranged at a specific position according to the type or structural form of the detected device.

[0053] In some embodiments, the personnel detection component 40 and the equipment temperature detection component may be sensors based on infrared thermal imaging technology.

[0054] In some embodiments, the personnel detection component 40 and the device temperature detection component 50 can send the collected data to the data processor 30 for analysis and management. That is, the personnel detection component 40 can send the collected personnel distribution information to the data processor 30 for analysis and management; the device temperature detection component 50 can send the collected device temperature to the data processor 30 for analysis and management.

[0055] In some embodiments, the data processor 30 is further configured to perform at least one of the following operations:

[0056] The temperature data collected by the infrared imaging sensor is tested for temperature, and abnormal temperature points are identified. Optionally, an alarm can be triggered after the abnormal temperature point is identified. For example, a first temperature threshold can be set, and when the monitored temperature exceeds the set first temperature threshold, an alarm will be automatically triggered to prompt relevant staff to handle it.

[0057] After identifying the abnormal temperature point, the personnel corresponding to the abnormal temperature point can be located and tracked in combination with the personnel distribution information collected by the personnel detection component. Optionally, the personnel at the location information of the abnormal temperature point can be determined based on the location information of the abnormal temperature point and then combined with the personnel distribution information, and the located personnel can be further tracked to avoid loss of personnel, and alarm information can be generated, which can include the temperature value of the abnormal temperature point, location information, and facial information of the personnel.

[0058] The device temperature collected by the device temperature detection component is used to identify the over-temperature device. Optionally, an alarm can be triggered after the over-temperature device is identified. For example, a second temperature threshold can be set. When the device temperature is detected to exceed the set second temperature threshold, an alarm will be automatically triggered and relevant staff will be prompted to handle it.

[0059] It is understandable that the data processor 30 can perform abnormal monitoring on the data collected by various sensing components, and issue an alarm message after identifying at least one of an abnormal temperature point, a person corresponding to the abnormal temperature point, and an over-temperature device.

[0060] The infrared imaging sensor 10 is responsible for collecting temperature data of the monitoring area and transmitting it to the data processor 30. The personnel area detection module 40 detects the distribution of personnel in the monitoring area through infrared imaging, video monitoring or other sensor technologies, and transmits it to the data processor 30. The equipment temperature detection component 50 detects the temperature of the equipment in the monitoring area through sensors and other technologies, and transmits it to the data processor 30. The environmental monitoring and prediction component 20, the infrared imaging sensor 10, the personnel detection component 40 and the equipment temperature detection component 50 are connected to the data processor 30, and the data collected by each sensing component is processed and analyzed by the data processor 30, including temperature measurement analysis, personnel area detection analysis and equipment over-temperature detection. Once an abnormal situation is found, the alarm component 60 will be triggered to alarm.

[0061] In some implementations, the data processor 30 can perform three tasks: temperature detection, personnel detection, and over-temperature equipment detection. The temperature detection, personnel detection, and over-temperature equipment detection are connected to an alarm component 60. These modules exchange and communicate data through designed interfaces and protocols to achieve coordinated operation of the system, so that the system can detect abnormal situations in a timely manner and ensure the safety of personnel and equipment.

[0062] In the embodiment of the present application, personnel area detection and analysis can help the system identify and locate the position of personnel, thereby achieving safety assurance: through personnel area detection and analysis, the system can ensure that personnel have not entered dangerous areas or been affected by potentially dangerous items, so that alarms can be issued in time or measures can be taken to ensure the safety of personnel. Furthermore, through personnel area detection and analysis, the system can monitor the position and activities of personnel in real time, providing real-time data and decision support for managers.

[0063] In the embodiments of the present application, equipment protection can prevent personnel from operating or touching over-temperature equipment by mistake, thereby protecting the equipment from damage or failure.

[0064] In some embodiments, the environment monitoring and prediction component 20 is further used to determine target system parameters of the personnel detection component and / or the equipment detection component based on the environment prediction information.

[0065] In some embodiments, the data processor 30 is used to adjust the personnel detection component according to the target system parameters of the personnel detection component and / or to adjust the equipment detection component according to the target system parameters of the equipment detection component.

[0066] In some embodiments, the personnel and equipment safety detection system further includes: a database 70 .

[0067] In some embodiments, the database 70 is connected to the data processor 30, and the database 70 is used to store the data collected by the personnel detection component, the personnel detection component, the equipment temperature detection component and the environmental monitoring and prediction component, as well as the analysis results of the data processor and the environmental monitoring and prediction component.

[0068] In some embodiments, Figure 3 As shown, the database 70 may include but is not limited to: a storage structured unit 71, a storage interface unit 72, a data query unit 73, a data backup unit 74, a data protection unit 75, a first optimization unit 76 and a monitoring alarm unit 77.

[0069] Optionally, the storage structured unit 71 and the storage interface unit 72 are connected to a data query unit 73, the data query unit 73 is connected to a data backup unit 74, the data backup unit 74 is connected to a data protection unit 75, the data protection unit 75 is connected to a first optimization unit 76, and the data query unit 73, the data backup unit 74, the data protection unit 75 and the first optimization unit 406 are connected to a monitoring alarm unit 77.

[0070] In some embodiments, the storage structure unit 71 is used to perform structured processing on the received data according to a preset storage structure to obtain structured data to be stored. Optionally, the storage structure unit 71 may include the design of a database table, the definition of a field, the setting of an index, etc. The received data is structured according to the preset settings to obtain structured data to be stored.

[0071] The storage interface unit 72 includes a data writing interface and a data query interface. The structured data to be stored is stored in the database through the data writing interface. The data query interface can be used to query the data stored in the database.

[0072] The data query unit 73 is used to query the data written in the database through the storage interface unit 72.

[0073] The data backup unit 74 is used to back up the data written into the database to achieve redundancy design and reduce the risk of data loss. Optionally, the same data is backed up on different storage nodes in the database, thereby reducing the risk of data loss.

[0074] The data protection unit 75 is used to protect the data in the database to prevent data leakage and tampering. For example, authorization verification, multi-factor identity authentication, password strengthening, network isolation, network encryption, and protection wall setting can be performed.

[0075] The first optimization unit 76 is used to optimize the performance of the database, for example, regular data maintenance, scheduling of database resources, optimization of database resources, optimization of database read and write strategies to improve read and write efficiency, etc.

[0076] The monitoring alarm unit 77 is used to send out an alarm message when the database is abnormal. Optionally, the monitoring alarm unit 77 can be connected to the data query unit 73, the data backup unit 74, the data protection unit 75, and the first optimization unit 76, and can monitor the above units for abnormalities, and send out an alarm message after any unit is abnormal.

[0077] Through the above workflow, the data storage structure is first designed, including the design of database tables, the definition of fields, and the setting of indexes. Then, the storage interface of the database is designed, including the data writing interface and the data query interface. The data writing interface is responsible for writing the processed and analyzed data into the database, and the data query interface is responsible for providing data query and analysis functions, and further storing the processed and analyzed data in the database. At this time, the system can provide data query and analysis functions, including basic SQL queries, data visualization, and report generation. Finally, the database 70 can effectively store the processed and analyzed data in the database, and provide data query and analysis functions to support subsequent data analysis and decision-making. At the same time, the database 70 needs to be optimized for performance and security protection to improve the stability and reliability of the system.

[0078] In some embodiments, Figure 4 As shown, the data processor 30 may include but is not limited to: a data receiving unit 31, a data preprocessing unit 32, a feature extraction unit 33, a data analysis unit 34, a data storage unit 35, an anomaly detection unit 36 ​​and a second optimization unit 37. The data receiving unit 31 is connected to the data preprocessing unit 32, the data preprocessing unit 32 is connected to the feature extraction unit 33, the feature extraction unit 33 is connected to the data analysis unit 34, the data analysis unit 34 is connected to the data storage unit 35 and the anomaly detection unit 56, the anomaly detection unit 56 is provided with automatic decision information or strategy, and the data storage unit 35 is connected to the second optimization unit 57.

[0079] In some embodiments, the data receiving unit 31 is used to receive data collected by each sensing component;

[0080] A data preprocessing unit 32, used to preprocess the data collected by each sensing component;

[0081] A feature extraction unit 33 is used to extract features from the preprocessed data to obtain feature information;

[0082] A data analysis unit 34 is used to analyze the characteristic information and obtain characteristic analysis results;

[0083] A data storage unit 35 is used to store the data collected by each sensing component and the feature analysis results in a database;

[0084] The anomaly detection unit 36 ​​is used to perform anomaly identification based on the feature analysis result and in combination with the pre-configured automatic decision information to obtain an anomaly identification result;

[0085] The second optimization unit 37 is used to optimize the hardware resources of the data processor. Optionally, the memory and computing resources of the data processor are optimized to release the memory and computing resources. Optionally, the memory and computing resources of the data processor can be scheduled to maximize the resource utilization.

[0086] Through the above units, complex data can be processed and analyzed, and abnormal situations can be discovered in time to ensure the safety of personnel and equipment. At the same time, data can also be stored and managed for subsequent data analysis and processing. It should be noted that the units included in the data processor 30 can be adjusted and optimized according to specific application scenarios to achieve the best effect.

[0087] In some embodiments, Figure 5 As shown, the environmental monitoring and prediction component 20 may include but is not limited to: an environmental monitoring unit 21, an environmental data acquisition unit 22, an environmental data analysis unit 23, a model prediction unit 24, a coefficient determination unit 25 and a periodic calibration unit 26, wherein the environmental monitoring unit 21 is connected to the environmental data acquisition unit 22, the environmental data acquisition unit 22 is connected to the environmental data analysis unit 23, the environmental data analysis unit 23 is connected to the model prediction unit 24, and the environmental data analysis unit 23 is connected to the coefficient determination unit 25 and the periodic calibration unit 26.

[0088] In some embodiments, the environment monitoring unit 21 may be connected to the infrared imaging sensor 10, the humidity sensor and the wind speed sensor to monitor the ambient temperature, ambient humidity and ambient wind speed.

[0089] The environmental data acquisition unit 22 is used to receive monitoring values ​​of the temperature sensor, the humidity sensor and the wind speed sensor to obtain environmental data.

[0090] The environmental data analysis unit 23 is used to visualize, perform data mining and data modeling on the environmental data of the monitoring area to obtain environmental analysis results.

[0091] A model prediction unit 24 is used to predict the environmental change trend according to the environmental analysis results and historical environmental analysis results to obtain environmental prediction information;

[0092] The coefficient determination unit 25 is used to determine the target system parameters of each perception component according to the environmental prediction information, and feed it back to the data processor. The current system parameters of the perception component are adjusted according to the target system parameters of each perception component by the data processor 30. Optionally, the data processor 30 can obtain the target system parameters of the infrared imaging sensor 10, the personnel detection component 20 and the equipment detection component 40.

[0093] Furthermore, the data processor 30 can adjust the current system parameters of the infrared imaging sensor 10 based on the target system parameters of the infrared imaging sensor 10, can adjust the current system parameters of the personnel detection component 20 based on the target system parameters of the personnel detection component 20, and can also adjust the current system parameters of the device detection component 40 based on the target system parameters of the device detection component 40. By adjusting the system parameters according to the environmental prediction information, the perception component can adapt to different environmental conditions, thereby improving the adaptability and accuracy of the personnel safety detection system provided by the present application.

[0094] The periodic calibration unit 26 is used to periodically calibrate the environmental monitoring and prediction components. Optionally, the temperature sensor, humidity sensor and wind speed sensor are periodically calibrated to ensure the accuracy and reliability of environmental state measurement.

[0095] During the implementation of this application, adjustments and optimizations were made according to the specific application scenarios to achieve the best results, and ultimately the inherent safety goal was effectively achieved. In the working environment underground in a coal mine, this system ensured safety under normal operation through real-time monitoring and effectively prevented the occurrence of danger under expected fault conditions.

[0096] In some embodiments, Figure 6 As shown, the alarm component 60 may include but is not limited to: an alarm rule configuration unit 61, an alarm interface unit 62, an alarm trigger unit 63, an alarm recording unit 64, an alarm notification unit 65, an alarm processing unit 66, and an alarm monitoring unit 67. Among them, the alarm rule configuration unit 61 and the alarm interface unit 62 are connected to the alarm trigger unit 63, the alarm trigger unit 63 is connected to the alarm recording unit 64, the alarm recording unit 64 is connected to the alarm notification unit 65, the alarm notification unit 65 is connected to the alarm processing unit 66, and the alarm trigger unit 63, the alarm recording unit 64, the alarm notification unit 65, and the alarm processing unit 66 are connected to the alarm monitoring unit 67.

[0097] The alarm rule configuration unit 61 is used to receive configuration information and determine an alarm rule based on the configuration information. Optionally, the alarm rule may include the type of alarm information corresponding to the abnormal level, the content that the alarm information needs to carry, the number of repetitions of the alarm information, etc.

[0098] The alarm interface unit 62 is used to connect to the data processor 30 through the alarm interface to receive an alarm indication from the data processor.

[0099] The alarm triggering unit 63 is used to trigger the alarm notification unit 64 to issue an alarm message under the instruction of the data processor 30.

[0100] The alarm recording unit 64 is used to record relevant information of the alarm information, such as the timestamp of the alarm information, the type of the alarm information, the level of the alarm information, the abnormality associated with the alarm information, and other information.

[0101] The alarm notification unit 65 is used to send out alarm information, optionally through various types of alarm information such as sound, light, vibration, etc. Optionally, the alarm information can be sent by a device bound to an associated person.

[0102] The alarm processing unit 66 is used to record the processing status of the alarm information or the feedback information of relevant personnel.

[0103] The alarm monitoring unit 67 is used to monitor other units in the alarm component and generate an alarm when abnormalities are detected in other units.

[0104] Through the above working units, the alarm component 60 can trigger an alarm in time when the detection system finds an abnormal situation to ensure the safety of personnel and equipment. At the same time, the alarm module 6 needs to be monitored and processed to ensure the timeliness and effectiveness of the alarm.

[0105] Based on the above embodiments, Figure 7 A schematic diagram of a flow chart of a personnel and equipment safety detection method based on infrared thermal imaging technology provided in an embodiment of the present application. Figure 7 The method is applicable to the above-mentioned personnel and equipment safety detection system based on infrared thermal imaging technology, and the method includes but is not limited to the following steps:

[0106] S801, collecting environmental data of the monitoring area.

[0107] In some embodiments, the environmental data of the monitoring area can be collected by the environmental monitoring and prediction component 20 in the above embodiment. For a detailed description, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0108] S802: predicting environmental changes in the monitoring area based on environmental data to obtain environmental prediction information of the monitoring area.

[0109] In some embodiments, the environmental monitoring and prediction component 20 in the above embodiment can be used to predict environmental changes in the monitoring area in combination with the environmental data of the monitoring area to obtain environmental prediction information of the monitoring area. For a detailed description, please refer to the relevant contents of the above embodiment, which will not be repeated here.

[0110] S803, determining target system parameters of the infrared imaging sensor according to the environmental prediction information.

[0111] S804, adjusting the infrared imaging sensor corresponding to the monitoring area according to the target system parameters of the infrared imaging sensor.

[0112] In some embodiments, the data processor 30 may perform temperature detection on the temperature data collected by the infrared imaging sensor 10 to identify abnormal temperature points;

[0113] In some embodiments, the data processor 30 locates the personnel corresponding to the abnormal temperature point in combination with the personnel distribution information in the monitoring area collected by the personnel detection component 40, and tracks the personnel corresponding to the abnormal temperature point.

[0114] In some embodiments, the data processor 30 identifies over-temperature devices based on the device temperature in the monitoring area collected by the device temperature monitoring component 50 .

[0115] In some embodiments, the data processor 30 issues an alarm message based on identifying at least one of an abnormal temperature point, a person corresponding to the abnormal temperature point, and an over-temperature device.

[0116] In some embodiments, target system parameters of the personnel detection component 40 are determined according to the environmental prediction information, and the data processor 30 may adjust the personnel detection component 40 according to the target system parameters of the personnel detection component 40 .

[0117] In some embodiments, target system parameters of the device detection component 50 are determined based on the environmental prediction information, and the data processor 30 can adjust the device detection component 50 based on the target system parameters of the device detection component 50.

[0118] It should be noted that the explanation of the aforementioned embodiment of the personnel and equipment safety detection system based on infrared thermal imaging technology is also applicable to a personnel and equipment safety detection method based on infrared thermal imaging technology in this embodiment, which will not be repeated here.

[0119] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0120] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0121] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0122] The collection, storage, use, processing, transmission, provision and application of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0123] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0124] This application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, this application is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, risks can be minimized by limiting data collection and deleting data. In addition, when applicable, personal identifiers are removed from such personal information to protect the privacy of users.

[0125] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0126] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0127] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0128] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0129] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0130] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0131] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0132] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A personnel and equipment safety detection system based on infrared thermal imaging technology, characterized in that: The system comprises: An infrared imaging sensor, an environmental monitoring and prediction component, and a data processor, wherein the infrared imaging sensor and the environmental monitoring and prediction component are connected to the data processor respectively; The infrared imaging sensor is used to monitor the ambient temperature of the monitoring area; The environmental monitoring and prediction component is used to collect environmental data of the monitoring area, the environmental data at least including the ambient temperature, and predict environmental changes in the monitoring area based on the environmental data to obtain environmental prediction information of the monitoring area, and determine the target system parameters of the infrared imaging sensor based on the environmental prediction information; The data processor is used to adjust the infrared imaging sensor according to the target system parameters of the infrared imaging sensor.

2. The system according to claim 1, characterized in that The personnel equipment safety detection system also includes: A personnel detection component, a device temperature detection component and an alarm component, wherein the personnel detection component, the device temperature detection component and the alarm component are respectively connected to the data processor; The personnel detection component is used to collect personnel distribution information in the monitoring area; The device temperature detection component is used to collect the device temperature of the monitoring area; The data processor is further configured to perform at least one of the following operations: Performing temperature detection on the temperature data collected by the infrared imaging sensor to identify abnormal temperature points; Tracking personnel according to the personnel distribution information, and identifying and locating personnel corresponding to the abnormal temperature points; Identifying an over-temperature device based on the device temperature collected by the device temperature detection component; When at least one of the abnormal temperature point, the person corresponding to the abnormal temperature point and the over-temperature equipment is identified, the alarm component is triggered to send out an alarm message.

3. The system according to claim 2, characterized in that The environmental monitoring and prediction component is also used Determining target system parameters of the personnel detection component and / or the device temperature detection component according to the environmental prediction information; The data processor is further used to adjust the personnel detection component according to the target system parameters of the personnel detection component, and / or to adjust the device temperature detection component according to the target system parameters of the device temperature detection component.

4. The system according to claim 2 or 3, wherein: The personnel equipment safety detection system also includes: a database connected to the data processor; The database is used to store the data collected by the infrared imaging sensor, the personnel detection component, the equipment temperature detection component and the environmental monitoring and prediction component, as well as the analysis results of the data processor and the environmental monitoring and prediction component.

5. The system according to claim 3, wherein: The database includes: A structuring unit, a storage interface, a data writing unit, a data query unit, a data backup unit, a data protection unit, a first optimization unit and a monitoring alarm unit; The structuring unit is used to perform structural processing on the received data according to a preset storage structure to obtain structured data to be stored; The data writing unit is used to write the structured data to be stored through the storage interface; The data query unit is used to query the data written in the database through the storage interface; The data backup unit is used to back up the data written into the database; The first optimization unit is used to optimize the performance of the database; The monitoring and alarming unit is used to monitor other units in the database and to raise an alarm when abnormalities occur in other units.

6. The system according to claim 1, wherein: The data processor comprises: A data receiving unit, a data preprocessing unit, a feature extraction unit, a data analysis unit, an anomaly detection unit, a data storage unit, and a second optimization unit; The data receiving unit is used to receive the data collected by each sensing component; The data preprocessing unit is used to preprocess the data collected by each sensing component; the feature extraction unit is used to extract features from the preprocessed data to obtain feature information; The data analysis unit is used to analyze the feature information to obtain a feature analysis result; The anomaly detection unit is used to perform anomaly identification based on the feature analysis result in combination with pre-configured decision information to obtain an anomaly identification result; The data storage unit is used to store the data collected by each sensing component in a database; The second optimization unit is used to optimize the hardware resources of the data processor.

7. The system according to claim 1, wherein: The environmental monitoring and prediction components include: Environmental data analysis unit, model prediction unit and coefficient determination unit; The environmental data analysis unit is used to visualize, perform data mining and data modeling on the environmental data of the monitoring area to obtain environmental analysis results; The model prediction unit is used to predict the environmental change trend according to the environmental analysis result and the historical environmental analysis result to obtain the environmental prediction information; The coefficient determination unit is used to determine the target system parameters of each perception component according to the environmental prediction information, and feed back the parameters to the data processor.

8. The system according to claim 7, wherein: The environmental monitoring and prediction component also includes: Environmental monitoring unit, environmental data collection unit and periodic calibration unit; The environmental monitoring unit includes a temperature sensor, a humidity sensor and a wind speed sensor; The environmental data acquisition unit is used to receive the environmental data monitored by the temperature sensor, humidity sensor and wind speed sensor; The periodic calibration unit is used to periodically calibrate various sensors in the environmental monitoring and prediction component.

9. A personnel and equipment safety detection method based on infrared thermal imaging technology, characterized in that: The method further comprises: Collecting environmental data of the monitoring area, wherein the environmental data at least includes the ambient temperature; Predicting environmental changes in the monitoring area according to the environmental data to obtain environmental prediction information of the monitoring area; Determining target system parameters of the infrared imaging sensor according to the environmental prediction information; The infrared imaging sensor corresponding to the monitoring area is adjusted according to the target system parameters of the ring infrared imaging sensor.

10. The method according to claim 9, characterized in that The method further comprises: Performing temperature detection on the temperature data collected by the infrared imaging sensor to identify abnormal temperature points; Based on the personnel distribution information of the monitoring area, the personnel corresponding to the abnormal temperature point are located, and the personnel corresponding to the abnormal temperature point are tracked; Identify over-temperature devices based on the device temperature in the monitoring area; When at least one of the abnormal temperature point, the person corresponding to the abnormal temperature point and the over-temperature equipment is identified, the alarm component is triggered to send out an alarm message.

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